Prévia do material em texto
ACC SCIENTIFIC STATEMENT Inflammation and Cardiovascular Disease: 2025 ACC Scientific Statement A Report of the American College of Cardiology Writing Committee Members George A. Mensah, MD, FACC, Chair Natalie Arnold, MD Sumanth D. Prabhu, MD, FACC Paul M Ridker, MD, MPH, FACC Francine K. Welty, MD, PHD, FACC ABSTRACT The crucial role of inflammation in the pathogenesis and clinical outcomes of cardiovascular disease (CVD) has recently gained increased attention. In particular, residual inflammation, measured with high-sensitivity C-reactive protein (hsCRP) remains strongly predictive of recurrent events, even in statin-treated patients. Similarly, elevated hsCRP in apparently healthy individuals identifies a higher-risk group in whom statin therapy significantly reduces the risk of first major CVD events even if LDL-cholesterol is normal. This report provides an updated understanding of the role of chronic, low-grade inflammation in CVD and highlights new seminal research findings, especially in athero- sclerosis, myocardial infarction, heart failure, and pericarditis. Consensus recommendations are summarized for screening, evaluation, and CVD risk assessment; inflammatory biomarkers in cardiovascular imaging; inflammation inhibition in behavioral and lifestyle risks; and anti- inflammatory approaches in primary and secondary prevention as well as in heart failure and other CVDs. This report also addresses current challenges and future opportunities. For example, it cautions that not all trials of anti-inflammatory therapy in secondary prevention have been successful and such trial evidence is needed before broad recommendations for other agents can be made. Additionally, in successful trials, the interplay between inflammation and key physiological systems often remains incompletely examined. Another promising area of research is the role that novel special pro-resolving bioactive lipid molecules play in promoting the resolution of inflammation and CVD risk reduction. In aggregate, the evidence linking inflammation with atherosclerotic CVD is no longer exploratory but is compelling and clinically actionable. The time for taking action has now arrived. INTRODUCTION The American College of Cardiology (ACC) has a long history of developing documents to complement clinical practice guidelines. Among these documents, scientific statements represent a novel approach to inform clinicians about areas where the scientific evidence is new and evolving or where sufficient data are more limited. Recently, the role of inflammation in cardiovascular disease (CVD) has gained significant attention, prompting a reevaluation of traditional paradigms of the pathogenesis and clinical outcomes of CVD. This scientific statement provides clinicians with an updated understanding of the role inflammation plays in CVD. The statement’s scope includes new research findings on the role of inflammation in atherosclerosis, myocardial infarction, heart failure (HF), and pericarditis. It also emphasizes pri- mary and secondary prevention and inflammatory pathways in behavioral and lifestyle risks. ISSN 0735-1097/$36.00 https://doi.org/10.1016/j.jacc.2025.08.047 This document was approved by the American College of Cardiology Clinical Policy Approval Committee in September 2025. The American College of Cardiology requests that this document be cited as follows: Mensah GA, Arnold N, Prabhu SD, Ridker PM, Welty FK. Inflammation and cardiovascular disease: 2025 ACC scientific statement: a report of the American College of Cardiology. J Am Coll Cardiol. 2025;XX: XXX-XXX. Copies: This document is available on the website of the American College of Cardiology (www.acc.org). For copies of this document, please contact Elsevier Inc. Reprint Department via fax (212-633-3820) or e-mail (reprints@elsevier.com). Permissions: Multiple copies, modification, alteration, enhancement, and/or distribution of this document are not permitted without the express permission of the American College of Cardiology. Requests may be completed online via the Elsevier site (https://www.elsevier.com/about/policies/ copyright/permissions). J A C C V O L . ■ , N O . ■ , 2 0 2 5 © 2 0 2 5 B Y T H E A M E R I C A N C O L L E G E O F C A R D I O L O G Y F O U N D A T I O N P U B L I S H E D B Y E L S E V I E R Delta:1_given-name Delta:1_surname Delta:1_given-name Delta:1_surname Delta:1_given-name https://www.acc.org/ mailto:reprints@elsevier.com https://www.elsevier.com/about/policies/copyright/permissions https://www.elsevier.com/about/policies/copyright/permissions To accomplish this work, the ACC constituted a writing committee that convened in March 2025 via a confidential conference call attended only by writing committee members and ACC staff. A review of seminal publications and outstanding questions was facilitated. Writing as- signments were configured according to each committee member’s area of expertise. E-mail correspondence was used to provide critical review of contributed content. Clinical recommendations were made where sufficient rigorous evidence existed. Differences were resolved by consensus among the writing committee. The commit- tee’s work was supported only by the ACC without any commercial input. Writing committee members were all unpaid volunteers. In accordance with the ACC’s policy on relationships with industry and other entities, relevant disclosures for the writing committee and comprehensive disclosures for external peer reviewers can be found in Appendixes 1 and 2. DEFINITIONS AND CLASSIFICATIONS Adaptive immune cell: A specialized immune cell that provides a specific, long-lasting immune response to pathogens. It recognizes unique antigens and can form immune memory, enabling faster and stronger response upon re-exposure. Augmented immunoinflammatory response: A height- ened immune and inflammatory reaction that goes beyond what is necessary to protect the body, often leading to tissue damage, chronic inflammation, or exacerbation of disease. These responses have been linked with increased mortality and morbidity in chronic HF. Cardioimmunology: An emerging interdisciplinary field that studies the interactions between the immune system and the cardiovascular system, with a focus on how immune cells, molecules, and inflammatory processes influence cardiovascular function in health and disease. Clonal hematopoiesis of indeterminate potential: A condition characterized by the presence of somatic mutations in blood-forming (hematopoietic) stem cells, leading to the expansion of genetically identical blood cell clones, without evidence of blood cancer or other hematological disease. Efferocytosis: A specialized form of phagocytosis where apoptotic cells are cleared by immune cells—pri- marily macrophages and dendritic cells—without triggering inflammation, thus maintaining tissue ho- meostasis and promoting resolution of inflammation. Immune checkpoint inhibitor: A class of cancer immunotherapy drug that blocks inhibitory pathways (“checkpoints”) used by tumors to evade immune detection, thereby releasing the brakes on T cells and enhancing its ability to attack cancer cells. Immune dysregulation: An abnormally functioning immune system—one that is either overactive, underac- tive, or inappropriately responding to stimuli. Immunomodulatory strategy: A therapeutic approach that aims to alter or regulate the immune system’s activity—by enhancing, suppressing, or restoring balance— to treat diseases or promote health. Innate immune cell: The first line of defense in the immune system. It responds rapidly and nonspecifically to invading pathogens or tissue injury, without prior exposure or memory formation. Janus kinase inhibitor: A targeted small-molecule drug that blocks the activity of a family of intracellular tyrosine kinases (Janus kinases) involved in cytokine signaling. By inhibiting Janus kinases,well as large-scale clinical trials testing the therapeutic modulation of potential immune targets already identified.85 As with other types of CVD, knowledge gaps remain about the timing of immunomodulatory interventions in HF and the specific disease endotypes that might derive greater benefit from such therapies. This will need more precise definition in future work. Clinically relevant biochemical and imaging biomarkers that can be used to track inflammatory and immune system activity will also need to be better char- acterized for feasible implementation of anti- inflammatory therapeutics. The good news is that several recent reviews have provided a comprehensive view of novel therapeutics and clinical trials in progress that directly explore the role of inflammatory markers and anti-inflammatory agents in CVD.125-127 For example, Potere et al125 have summarized the main characteristics, major challenges, and future perspectives of novel therapeutics and upcoming ran- domized controlled trials in this arena with emphasis on the increasing role of dysregulated immunity. These include $14 trials in ASCVD and thrombosis, 9 in pe- ripheral vascular disease, 12 in HF, 6 in inflammatory cardiomyopathy, and 4 in cardiac arrhythmia.125 Findings from these clinical trials will go a long way to improve our understanding of the role of inflammation in CVD and provide novel opportunities for the prevention, detec- tion, evaluation, and treatment of CVD. Other avenues for further research are identified in the following recommendations. Recommendations for research Evaluation and risk assessment n A deeper insight into interaction between circulatory and imaging inflammatory biomarkers is needed. n Would the combination of both circulating and imaging inflammatory biomarkers improve CVD prediction in primary and secondary prevention? n There is a need for additional large randomized clinical trials of novel agents to reduce coronary inflammation. Primary prevention n Large, randomized, placebo-controlled trials are needed to evaluate the potential benefit and risks of selective anti-inflammatory therapy in primary ASCVD prevention. n Which patients would benefit most from anti- inflammatory treatment in the primary prevention; for example, those with residual inflammatory risk (suboptimal control of traditional risk factors)? Conversely, are there patient groups such as those with increased risks for infection who should avoid anti- inflammatory strategies? n When would be the optimal timing to initiate anti- inflammatory treatments? n What is the role of anti-inflammatory treatment in primary prevention? Is early intervention preferable? What is the recommended overall treatment duration? n Would length of exposure to elevated hs-CRP affect future CVD risk? Inflammation in HF and other CVD n Identify disease endotypes in human HF that may derive benefit from immunomodulation. n Define biochemical and imaging markers of cardiac tissue inflammation in humans that are of high speci- ficity and serially measurable. n Identify the specific immune cell populations (and the mechanisms of activation) that are obligatory for the progression of adverse cardiac remodeling at different stages of HF. n Define the mechanistic links (and interorgan commu- nication) between the hematopoietic and lymphoid systems and the failing heart. n Delineate the necessary components of the immunofi- brotic axis in HF. n Define the specific arrhythmogenic mechanisms linked with different innate and adaptive immune cell pop- ulations in the heart. Call to action: inflammation and CVD The evidence linking chronic, low-grade inflammation to the initiation and progression of ASCVD is robust, and several seminal randomized controlled clinical trials demonstrate that targeting inflammation reduces car- diovascular risk independent of lipid lowering. We have thus entered an era when the evidence linking inflam- mation with ASCVD is no longer exploratory but is compelling and clinically actionable. Yet, clinicians will not treat what they do not measure. Therefore, the time has come for clinical practice guidelines to implement broad screening of primary and secondary prevention patients for hsCRP, in combination with LDL cholesterol, and to embrace anti-inflammatory interventions in pa- tients with established ASCVD and evidence of residual inflammatory risk, regardless of LDL cholesterol level. J A C C V O L . ■ , N O . ■ , 2 0 2 5 Mensah et al ■ , 2 0 2 5 : ■ – ■ Inflammation and Cardiovascular Disease 19 The time is also ripe for the development of strategies to promote increased physician awareness of the crucial role of inflammation in CVD and accelerate the adoption of evidence-based, guideline-directed anti-inflammatory therapy through dissemination and implementation research. Because weight reduction, exercise, and smoking cessation can reduce hsCRP, endorsement of inflammation biology will further promote primordial and primary prevention. Inflammation is also strongly implicated in diverse cardiovascular conditions, including pericarditis, HF, and acute coronary ischemia; there is strong need for further research into the inflam- matory and immune mechanisms underlying these conditions so that new anti-inflammatory or immunomodulatory treatment strategies can be identi- fied and developed for translation to humans. The time for action has arrived. PRESIDENT AND STAFF Christopher M. Kramer, MD, FACC Cathleen C. Gates, Chief Executive Officer Richard J. Kovacs, MD, MACC, Chief Medical Officer Justine Varieur Turco, MA, Divisional Vice President, Scientific Publications and Guidelines Mindy Saraco, MHA, Director, Clinical Policy and Guidelines Rachel Barish, NP, AACC, Scientific Documents Associate R E F E R E N C E S 1. Pearson TA, Mensah GA, Alexander RW, et al. Markers of inflammation and cardiovascular disease: application to clinical and public health practice: a statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Associ- ation. Circulation. 2003;107:499–511. 2. Liberale L, Montecucco F, Schwarz L, Lüscher TF, Camici GG. Inflammation and cardiovascular diseases: lessons from seminal clinical trials. Cardiovasc Res. 2021;117:411–422. 3. Ridker PM, Everett BM, Thuren T, et al. Antiin- flammatory therapy with canakinumab for athero- sclerotic disease. N Engl J Med. 2017;377:1119–1131. 4. Murphy SP, Kakkar R, McCarthy CP, Januzzi JL. Inflammation in heart failure: JACC State-of-the-Art Review. J Am Coll Cardiol. 2020;75:1324–1340. 5. Prabhu SD, Frangogiannis NG. The biological basis for cardiac repair after myocardial infarction: from inflammation to fibrosis. Circ Res. 2016;119:91–112. 6. Imazio M, Brucato A, Cemin R, et al. A randomized trial of colchicine for acute pericarditis. N Engl J Med. 2013;369:1522–1528. 7. Klein AL, Imazio M, Cremer P, et al. Phase 3 trial of interleukin-1 trap rilonacept in recurrent pericarditis. N Engl J Med. 2021;384:31–41. 8. Chung ES, Packer M, Lo KH, Fasanmade AA, Willerson JT. Anti-TNF therapy against congestive heart failure investigators. Randomized, double-blind, placebo-controlled, pilot trial of infliximab, a chimeric monoclonal antibody to tumor necrosis factor-alpha, in patients with moderate-to-severe heart failure: re- sults of the anti-TNF therapy against congestive heart failure (ATTACH) trial. Circulation. 2003;107:3133– 3140. 9. Torre-Amione G, Anker SD, Bourge RC, et al. Results of a non-specific immunomodulation therapy in chronic heart failure (ACCLAIM trial): a placebo-controlled randomised trial. Lancet. 2008;371:228–236. 10. Everett BM, Cornel JH, Lainscak M, et al. Anti-in- flammatory therapy with canakinumab for the pre- vention of hospitalization for heart failure. Circulation. 2019;139:1289–1299. 11. Ridker PM, Everett BM, Pradhan A, et al. Low-dose methotrexatefor the prevention of atherosclerotic events. N Engl J Med. 2019;380:752–762. 12. Jolly SS, d’Entremont M-A, Lee SF, et al. Colchicine in acute myocardial infarction. N Engl J Med. 2025;392:633–642. 13. Tardif J-C, Kouz S, Waters DD, et al. Efficacy and safety of low-dose colchicine after myocardial infarc- tion. N Engl J Med. 2019;381:2497–2505. 14. Kjekshus J, Apetrei E, Barrios V, et al. Rosuvastatin in older patients with systolic heart failure. N Engl J Med. 2007;357:2248–2261. 15. Tavazzi L, Maggioni AP, Marchioli R, et al. Effect of rosuvastatin in patients with chronic heart failure (the GISSI-HF trial): a randomised, double-blind, placebo- controlled trial. Lancet. 2008;372:1231–1239. 16. Ridker PM, Danielson E, Fonseca FAH, et al. Rosuvastatin to prevent vascular events in men and women with elevated C-reactive protein. N Engl J Med. 2008;359:2195–2207. 17. Nidorf SM, Fiolet ATL, Mosterd A, et al. Colchicine in patients with chronic coronary disease. N Engl J Med. 2020;383:1838–1847. 18. Hare JM, Mangal B, Brown J, et al. Impact of oxypurinol in patients with symptomatic heart failure. Results of the OPT-CHF study. J Am Coll Cardiol. 2008;51:2301–2309. 19. Estruch R, Ros E, Salas-Salvadó J, et al. Primary prevention of cardiovascular disease with a Mediter- ranean diet supplemented with extra-virgin olive oil or nuts. N Engl J Med. 2018;378:e34. 20. Parrillo JE, Cunnion RE, Epstein SE, et al. A prospective, randomized, controlled trial of pred- nisone for dilated cardiomyopathy. N Engl J Med. 1989;321:1061–1068. 21. Mann DL, McMurray JJV, Packer M, et al. Targeted anticytokine therapy in patients with chronic heart failure: results of the randomized etanercept world- wide evaluation (RENEWAL). Circulation. 2004;109: 1594–1602. 22. Frustaci A, Russo MA, Chimenti C. Randomized study on the efficacy of immunosuppressive therapy in pa- tients with virus-negative inflammatory cardiomyopa- thy: the TIMIC study. Eur Heart J. 2009;30:1995–2002. 23. Ridker PM. A test in context: high-sensitivity C-reactive protein. J Am Coll Cardiol. 2016;67:712– 723. 24. Ridker PM, Cook N. Clinical usefulness of very high and very low levels of C-reactive protein across the full range of Framingham Risk Scores. Circulation. 2004;109:1955–1959. 25. Ridker PM. Clinician’s guide to reducing inflam- mation to reduce atherothrombotic risk. J Am Coll Cardiol. 2018;72:3320–3331. 26. Conrad N, Verbeke G, Molenberghs G, et al. Autoimmune diseases and cardiovascular risk: a population-based study on 19 autoimmune diseases and 12 cardiovascular diseases in 22 million individuals in the UK. Lancet. 2022;400:733–743. 27. Ridker PM, Moorthy MV, Cook NR, Rifai N, Lee I-M, Buring JE. Inflammation, cholesterol, lipoprotein(a), and 30-year cardiovascular outcomes in women. N Engl J Med. 2024;391:2087–2097. 28. Kraaijenhof JM, Nurmohamed NS, Nordestgaard AT, et al. Low-density lipoprotein cholesterol, C-reactive protein, and lipoprotein(a) universal one-time screening in primary prevention: the EPIC-Norfolk study. Eur Heart J. 2025:ehaf209. 29. Liuzzo G, Ridker PM. Universal screening for hsCRP in patients with atherosclerotic disease: a major therapeutic opportunity. Eur Heart J. 2024;45:4731– 4733. 30. West HW, Dangas K, Antoniades C. Advances in clinical imaging of vascular inflammation: a state-of- the-art review. JACC Basic Transl Sci. 2024;9:710–732. 31. Annink ME, Kraaijenhof JM, Beverloo CYY, et al. Estimating inflammatory risk in atherosclerotic car- diovascular disease: plaque over plasma? Eur Heart J Cardiovasc Imaging. 2025;26:444–460. 32. Antoniades C, Tousoulis D, Vavlukis M, et al. Per- ivascular adipose tissue as a source of therapeutic targets and clinical biomarkers. Eur Heart J. 2023;44: 3827–3844. 33. Chan K, Wahome E, Tsiachristas A, et al. Inflam- matory risk and cardiovascular events in patients without obstructive coronary artery disease: the ORFAN multicentre, longitudinal cohort study. Lancet. 2024;403:2606–2618. 34. Budoff MJ. Effect of colchicine on progression of known coronary atherosclerosis in patients with stable coronary artery disease compared to placebo - Ekstrom Trial. Chicago, IL: Paper presented at: 74th Annual Mensah et al J A C C V O L . ■ , N O . ■ , 2 0 2 5 Inflammation and Cardiovascular Disease ■ , 2 0 2 5 : ■ – ■ 20 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref1 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref1 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref1 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref1 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref1 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref1 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref2 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref2 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref2 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref2 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref3 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref3 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref3 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref4 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref4 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref4 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref5 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref5 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref5 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref6 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref6 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref6 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref7 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref7 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref7 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref8 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref8 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref8 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref8 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref8 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref8 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref8 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref8 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref8 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref9 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref9 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref9 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref9 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref10 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref10 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref10 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref10 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref11 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref11 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref11 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref12 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref12 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref12 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref13 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref13 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref13 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref14 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref14 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref14 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref15 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref15 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref15 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref15 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref16 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref16 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref16 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref16 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref17 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref17 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref17 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref18http://refhub.elsevier.com/S0735-1097(25)07555-2/sref18 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref18 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref18 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref19 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref19 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref19 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref19 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref20 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref20 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref20 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref20 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref21 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref21 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref21 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref21 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref21 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref22 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref22 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref22 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref22 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref23 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref23 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref23 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref24 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref24 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref24 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref24 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref25 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref25 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref25 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref26 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref26 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref26 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref26 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref26 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref27 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref27 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref27 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref27 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref28 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref28 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref28 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref28 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref28 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref29 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref29 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref29 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref29 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref30 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref30 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref30 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref31 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref31 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref31 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref31 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref32 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref32 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref32 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref32 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref33 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref33 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref33 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref33 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref33 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref34 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref34 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref34 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref34 American College of Cardiology Scientific Session & Expo (ACC.25); March 31, 2025. 35. Ridker PM, Cushman M, Stampfer MJ, Tracy RP, Hennekens CH. Inflammation, aspirin, and the risk of cardiovascular disease in apparently healthy men. N Engl J Med. 1997;336:973–979. 36. Kaptoge S, Di Angelantonio E, Lowe G, et al. Emerging Risk Factors Collaboration. C-reactive pro- tein concentration and risk of coronary heart disease, stroke, and mortality: an individual participant meta- analysis. Lancet. 2010;375:132–140. 37. Arnold N, Blaum C, Goßling A, et al. C-reactive protein modifies lipoprotein(a)-related risk for coro- nary heart disease: the BiomarCaRE project. Eur Heart J. 2024;45:1043–1054. 38. Ridker PM, Figtree GA, Moorthy MV, et al. C-reactive protein and cardiovascular risk among women with no standard modifiable risk factors: evaluating the ‘SMuRF-less but inflamed’. Eur Heart J. 2025 Aug 29:ehaf658. 39. Arnold N, Goßling A, Weimann J, et al. Occurrence of coronary events in the absence of traditional risk factors: understanding residual risk. Atherosclerosis. 2025:120475. https://doi.org/10.1016/j.atheroscle- rosis.2025.120475 40. Thomas PE, Vedel-Krogh S, Kamstrup PR, Nordestgaard BG. Lipoprotein(a) is linked to athero- thrombosis and aortic valve stenosis independent of C-reactive protein. Eur Heart J. 2023;44:1449–1460. 41. Zhang W, Speiser JL, Ye F, et al. High-sensitivity C- reactive protein modifies the cardiovascular risk of li- poprotein(a): multi-ethnic study of atherosclerosis. J Am Coll Cardiol. 2021;78:1083–1094. 42. Yang EY, Nambi V, Tang Z, et al. Clinical implica- tions of JUPITER (justification for the use of statins in prevention: an intervention trial evaluating rosuvas- tatin) in a U.S. population insights from the ARIC (atherosclerosis risk in communities) study. J Am Coll Cardiol. 2009;54:2388–2395. 43. Suthahar N, Wang D, Aboumsallem JP, et al. As- sociation of initial and longitudinal changes in C- reactive protein with the risk of cardiovascular disease, cancer, and mortality. Mayo Clin Proc. 2023;98:549– 558. 44. Casagrande SS, Lawrence JM. Cardiovascular dis- ease risk factors and their associations with inflam- mation among US adolescents: NHANES, 2015 to March 2020. BMJ Open Diabetes Res Care. 2024;12: e004148. 45. Bay B, Arnold N, Waldeyer C. C-reactive protein, pharmacological treatments and diet: how to target your inflammatory burden. Curr Opin Lipidol. 2024;35: 141–148. 46. Libby P, Crea F. Clinical implications of inflam- mation for cardiovascular primary prevention. Eur Heart J. 2010;31:777–783. 47. Ridker PM, Rifai N, Clearfield M, et al. Measure- ment of C-reactive protein for the targeting of statin therapy in the primary prevention of acute coronary events. N Engl J Med. 2001;344:1959–1965. 48. Ridker PM. Statins for the “SMuRFLess but inflamed”: silent vascular inflammation and the chal- lenge of translational science. JACC Basic Transl Sci. 2025;10:101318. 49. Nissen SE, Lincoff AM, Brennan D, et al. Bempe- doic acid and cardiovascular outcomes in statin- intolerant patients. N Engl J Med. 2023;388:1353– 1364. 50. Solomon DH, Liu C-C, Kuo I-H, Zak A, Kim SC. Effects of colchicine on risk of cardiovascular events and mortality among patients with gout: a cohort study using electronic medical records linked with Medicare claims. Ann Rheum Dis. 2016;75:1674–1679. 51. Ridker PM, Bhatt DL, Pradhan AD, et al. Inflam- mation and cholesterol as predictors of cardiovascular events among patients receiving statin therapy: a collaborative analysis of three randomised trials. Lancet. 2023;401:1293–1301. 52. Ridker PM, Lei L, Louie MJ, et al. Inflammation and cholesterol as predictors of cardiovascular events among 13 970 contemporary high-risk patients with statin intolerance. Circulation. 2024;149:28–35. 53. Mazhar F, Faucon A-L, Fu EL, et al. Systemic inflammation and health outcomes in patients receiving treatment for atherosclerotic cardiovascular disease. Eur Heart J. 2024;45:4719–4730. 54. Sabatine MS, Giugliano RP, Keech AC, et al. Evo- locumab and clinical outcomes in patients with cardiovascular disease. N Engl J Med. 2017;376:1713– 1722. 55. SchwartzGG, Steg PG, Szarek M, et al. Alirocumab and cardiovascular outcomes after acute coronary syndrome. N Engl J Med. 2018;379:2097–2107. 56. Ridker PM, MacFadyen JG, Thuren T, et al. Effect of interleukin-1β inhibition with canakinumab on inci- dent lung cancer in patients with atherosclerosis: exploratory results from a randomised, double-blind, placebo-controlled trial. Lancet. 2017;390:1833–1842. 57. Kelly P, Lemmens R, Weimar C, et al. Long-term colchicine for the prevention of vascular recurrent events in non-cardioembolic stroke (CONVINCE): a randomised controlled trial. Lancet. 2024;404:125– 133. 58. Loscalzo J. Timing the taming of vascular inflam- mation. N Engl J Med. 2025;392:712–714. 59. Imazio M, Ballacci F, Giordano F. Colchicine in acute coronary syndromes: the present and the possible future. Nat Rev Cardiol. 2025;22:215–216. 60. Bonaventura A, Potere N, Liberale L, et al. Colchicine in coronary artery disease: where do we stand? J Cardiovasc Pharmacol. 2025;85:243–247. 61. Misra A, Psaltis PJ, Mondal AR, Nelson AJ, Nidorf SM. Implications and limitations of the CLEAR- SYNERGY trial for the use of low-dose colchicine in cardiovascular disease. Nat Cardiovasc Res. 2025;4: 251–253. 62. Tardif JC, Kouz S. Efficacy and safety of colchicine and spironolactone after myocardial infarction: the CLEAR-SYNERGY trial in perspective. Eur Heart J Acute Cardiovasc Care. 2024;13:843–844. 63. Ridker PM. Colchicine for cardiovascular disease: navigating the gap between evidence, guidelines, and clinical practice. J Am Coll Cardiol. 2025;85:2092– 2095. 64. Samuel M, Berry C, Dube MP, et al. Long-term trials of colchicine for secondary prevention of vascular events: a meta-analysis. Eur Heart J. 2025;46:2552–2563. 65. Nidorf SM, Ben-Chetrit E, Ridker PM. Low-dose colchicine for atherosclerosis: long-term safety. Eur Heart J. 2024;45:1596–1601. 66. Samuel M, Tardif J-C, Khairy P, et al. Cost-effec- tiveness of low-dose colchicine after myocardial infarction in the colchicine cardiovascular outcomes trial (COLCOT). Eur Heart J Qual Care Clin Outcomes. 2021;7:486–495. 67. Ridker PM, Devalaraja M, Baeres FMM, et al. IL-6 inhibition with ziltivekimab in patients at high atherosclerotic risk (RESCUE): a double-blind, rando- mised, placebo-controlled, phase 2 trial. Lancet. 2021;397:2060–2069. 68. Chertow GM, Chang AM, Felker GM, et al. IL-6 inhibition with clazakizumab in patients receiving maintenance dialysis: a randomized phase 2b trial. Nat Med. 2024;30:2328–2336. 69. Li J, Lee DH, Hu J, et al. Dietary inflammatory potential and risk of cardiovascular disease among men and women in the U.S. J Am Coll Cardiol. 2020;76:2181–2193. 70. Krittanawong C, Isath A, Hahn J, et al. Fish con- sumption and cardiovascular health: a systematic re- view. Am J Med. 2021;134:713–720. 71. Welty FK, Daher R, Garelnabi M. Fish and omega-3 fatty acids: sex and racial differences in cardiovascular outcomes and cognitive function. Arterioscler Thromb Vasc Biol. 2024;44:89–107. 72. Mozaffarian D, Lemaitre RN, King IB, et al. Plasma phospholipid long-chain ω-3 fatty acids and total and cause-specific mortality in older adults: a cohort study. Ann Intern Med. 2013;158:515–525. 73. de Oliveira Otto MC, Wu JHY, Baylin A, et al. Circulating and dietary omega-3 and omega-6 poly- unsaturated fatty acids and incidence of CVD in the multi-ethnic study of atherosclerosis. J Am Heart Assoc. 2013;2:e000506. 74. Del Gobbo LC, Imamura F, Aslibekyan S, et al. ω-3 polyunsaturated fatty acid biomarkers and coronary heart disease: pooling project of 19 cohort studies. JAMA Intern Med. 2016;176:1155–1166. 75. Harris WS, Tintle NL, Imamura F, et al. Fatty Acids and Outcomes Research Consortium (FORCE). Blood n-3 fatty acid levels and total and cause-specific mortality from 17 prospective studies. Nat Commun. 2021;12:2329. 76. Gencer B, Djousse L, Al-Ramady OT, Cook NR, Manson JE, Albert CM. Effect of long-term marine ɷ-3 fatty acids supplementation on the risk of atrial fibrillation in randomized controlled trials of cardio- vascular outcomes: a systematic review and meta- analysis. Circulation. 2021;144:1981–1990. 77. Bernasconi AA, Wiest MM, Lavie CJ, Milani RV, Laukkanen JA. Effect of omega-3 dosage on cardio- vascular outcomes: an updated meta-analysis and meta-regression of interventional trials. Mayo Clin Proc. 2021;96:304–313. 78. Serhan CN. Pro-resolving lipid mediators are leads for resolution physiology. Nature. 2014;510:92–101. 79. Tabas I, Glass CK. Anti-inflammatory therapy in chronic disease: challenges and opportunities. Science. 2013;339:166–172. 80. Kasapis C, Thompson PD. The effects of physical activity on serum C-reactive protein and inflammatory markers: a systematic review. J Am Coll Cardiol. 2005;45:1563–1569. J A C C V O L . ■ , N O . ■ , 2 0 2 5 Mensah et al ■ , 2 0 2 5 : ■ – ■ Inflammation and Cardiovascular Disease 21 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref34 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref34 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref35 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref35 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref35 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref35 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref36 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref36 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref36 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref36 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref36 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref37 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref37 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref37 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref37 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref38 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref38 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref38 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref38 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref38 https://doi.org/10.1016/j.atherosclerosis.2025.120475 https://doi.org/10.1016/j.atherosclerosis.2025.120475 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref40 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref40 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref40 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref40 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref41 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref41 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref41 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref41 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref42 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref42 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref42 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref42 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref42 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref42 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref43 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref43 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref43 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref43 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref43 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref44 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref44 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref44 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref44 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref44 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref45 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref45 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref45 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref45 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref46 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref46 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref46 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref47 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref47http://refhub.elsevier.com/S0735-1097(25)07555-2/sref47 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref47 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref48 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref48 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref48 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref48 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref49 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref49 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref49 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref49 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref50 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref50 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref50 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref50 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref50 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref51 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref51 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref51 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref51 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref51 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref52 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref52 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref52 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref52 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref53 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref53 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref53 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref53 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref54 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref54 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref54 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref54 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref55 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref55 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref55 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref56 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref56 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref56 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref56 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref56 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref57 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref57 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref57 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref57 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref57 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref58 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref58 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref59 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref59 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref59 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref60 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref60 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref60 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref61 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref61 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref61 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref61 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref61 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref62 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref62 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref62 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref62 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref63 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref63 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref63 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref63 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref64 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref64 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref64 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref64 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref65 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref65 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref65 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref66 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref66 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref66 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref66 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref66 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref67 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref67 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref67 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref67 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref67 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref68 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref68 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref68 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref68 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref69 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref69 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref69 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref69 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref70 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref70 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref70 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref71 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref71 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref71 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref71 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref72 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref72 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref72 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref72 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref73 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref73 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref73 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref73 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref73 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref74 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref74 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref74 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref74 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref75 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref75 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref75 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref75 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref75 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref76 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref76 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref76 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref76 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref76 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref76 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref77 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref77 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref77 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref77 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref77 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref78 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref78 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref79 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref79 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref79 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref80 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref80 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref80 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref80 81. Fredman G, Serhan CN. Specialized pro-resolving mediators in vascular inflammation and atheroscle- rotic cardiovascular disease. Nat Rev Cardiol. 2024;21: 808–823. 82. Gangemi S, Luciotti G, D’Urbano E, et al. Physical exercise increases urinary excretion of lipoxin A4 and related compounds. J Appl Physiol (1985). 2003;94: 2237–2240. 83. Dalli J, Chiang N, Serhan CN. Elucidation of novel 13-series resolvins that increasewith atorvastatin and clear infections. Nat Med. 2015;21:1071–1075. 84. Tucker WJ, Fegers-Wustrow I, Halle M, Haykowsky MJ, Chung EH, Kovacic JC. Exercise for primary and secondary prevention of cardiovascular disease: JACC Focus Seminar 1/4. J Am Coll Cardiol. 2022;80:1091–1106. 85. Adamo L, Rocha-Resende C, Prabhu SD, Mann DL. Reappraising the role of inflammation in heart failure. Nat Rev Cardiol. 2020;17:269–285. 86. Alcaide P, Kallikourdis M, Emig R, Prabhu SD. Myocardial inflammation in heart failure with reduced and preserved ejection fraction. Circ Res. 2024;134: 1752–1766. 87. Mann DL. The emerging field of cardioimmunol- ogy: past, present and foreseeable future. Circ Res. 2024;134:1663–1680. 88. Medzhitov R. Origin and physiological roles of inflammation. Nature. 2008;454:428–435. 89. Anand IS, Latini R, Florea VG, et al. C-reactive protein in heart failure: prognostic value and the ef- fect of valsartan. Circulation. 2005;112:1428–1434. 90. Park JJ, Yoon M, Cho H-W, et al. C-reactive pro- tein and statins in heart failure with reduced and preserved ejection fraction. Front Cardiovasc Med. 2022;9:1064967. 91. Bajaj NS, Kalra R, Gupta K, et al. Leucocyte count predicts cardiovascular risk in heart failure with pre- served ejection fraction: insights from TOPCAT Americas. ESC Heart Fail. 2020;7:1676–1687. 92. Grune J, Yamazoe M, Nahrendorf M. Electro- immunology and cardiac arrhythmia. Nat Rev Cardiol. 2021;18:547–564. 93. Keefe JA, Wang J, Song J, Ni L, Wehrens XHT. Immune cells and arrhythmias. Cardiovasc Res. 2025;121:382–395. 94. Campos Ramos G, �Ciháková D, Maack C, Prabhu SD. Interface between cardioimmunology, myocardial health, and disease: a compendium. Circ Res. 2024;134:1661–1662. 95. Tavazzi L, Maggioni AP, Marchioli R, et al. Effect of n-3 polyunsaturated fatty acids in patients with chronic heart failure (the GISSI-HF trial): a rando- mised, double-blind, placebo-controlled trial. Lancet. 2008;372:1223–1230. 96. Bajaj NS, Gupta K, Gharpure N, et al. Effect of immunomodulation on cardiac remodelling and out- comes in heart failure: a quantitative synthesis of the literature. ESC Heart Fail. 2020;7:1319–1330. 97. Petrie M, Borlaug B, Bucholz K, et al. HERMES: effects of ziltivekimab versus placebo on morbidity and mortality in patients with heart failure with mildly reduced or preserved ejection fraction and systemic inflammation (abstr). J Card Fail. 2024;30:126. 98. Deswal A, Petersen NJ, Feldman AM, et al. Cyto- kines and cytokine receptors in advanced heart failure: an analysis of the cytokine database from the Ves- narinone trial (VEST). Circulation. 2001;103(16):2055– 2059. 99. Anand IS, Latini R, Florea VG, et al. C-reactive protein in heart failure: prognostic value and the ef- fect of valsartan. Circulation. 2005;112(10):1428– 1434. 100. Ferreira JP, Claggett BL, Liu J, et al. High- sensitivity C-reactive protein in heart failure with preserved ejection fraction: findings from TOPCAT. Int J Cardiol. 2024;402:131818. 101. Alogna A, Koepp KE, Sabbah M, et al. Interleukin- 6 in patients with heart failure and preserved ejection fraction. JACC Heart Fail. 2023;11(11):1549–1561. 102. Berger M, März W, Niessner A, et al. IL-6 and hsCRP predict cardiovascular mortality in patients with heart failure with preserved ejection fraction. ESC Heart Failure. 2024;11(6):3607–3615. 103. Kosiborod MN, Petrie MC, Borlaug BA, et al. Semaglutide in patients with obesity-related heart failure and type 2 diabetes. N Engl J Med. 2024;390 (15):1394–1407. 104. Packer M, Zile MR, Kramer CM, et al. Tirzepatide for heart failure with preserved ejection fraction and obesity. N Engl J Med. 2025;392(5):427–437. 105. Nguyen LS, Bretagne M, Arrondeau J, et al. Reversal of immune-checkpoint inhibitor fulminant myocarditis using personalized-dose-adjusted abata- cept and ruxolitinib: proof of concept. J Immunother Cancer. 2022;10:e004699. 106. Salem J-E, Ederhy S, Belin L, et al. Abatacept dose-finding phase II trial for immune checkpoint in- hibitors myocarditis (ACHLYS) trial design. Arch Car- diovasc Dis. 2025;118:106–115. 107. Cremer PC, Klein AL, Imazio M. Diagnosis, risk stratification, and treatment of pericarditis: a review. JAMA. 2024;332:1090–1100. 108. Klein AL, Cremer PC, Kafil TS. Recurrent peri- carditis: a promising future for IL-1 blockers in auto- inflammatory phenotypes. J Am Coll Cardiol. 2023;82: 41–45. 109. Imazio M, Brucato A, Ferrazzi P, et al. Colchi- cine for prevention of postpericardiotomy syndrome and postoperative atrial fibrillation: the COPPS-2 randomized clinical trial. JAMA. 2014;312:1016– 1023. 110. Brucato A, Imazio M, Gattorno M, et al. Effect of anakinra on recurrent pericarditis among patients with colchicine resistance and corticosteroid dependence: the AIRTRIP randomized clinical trial. JAMA. 2016;316: 1906–1912. 111. Myachikova VY, Maslyanskiy AL, Moiseeva OM, et al. Treatment of idiopathic recurrent pericarditis with goflikicept: phase II/III study results. J Am Coll Cardiol. 2023;82:30–40. 112. Klein AL, Wang TKM, Cremer PC, et al. Peri- cardial diseases: international position statement on new concepts and advances in multimodality cardiac imaging. JACC Cardiovasc Imaging. 2024;17:937– 988. 113. Furman D, Campisi J, Verdin E, et al. Chronic inflammation in the etiology of disease across the life span. Nat Med. 2019;25:1822–1832. 114. Ponce-de-Leon M, Linseisen J, Peters A, et al. Novel associations between inflammation-related proteins and adiposity: a targeted proteomics approach across four population-based studies. Transl Res. 2022;242:93–104. 115. Yuki H, Sugiyama T, Suzuki K, et al. Coronary inflammation and plaque vulnerability: a coronary computed tomography and optical coherence tomog- raphy study. Circ Cardiovasc Imaging. 2023;16: e014959. 116. Jaiswal S, Natarajan P, Silver AJ, et al. Clonal hematopoiesis and risk of atherosclerotic cardiovas- cular disease. N Engl J Med. 2017;377:111–121. 117. Gumuser ED, Schuermans A, Cho SMJ, et al. Clonal hematopoiesis of indeterminate potential pre- dicts adverse outcomes in patients with atheroscle- rotic cardiovascular disease. J Am Coll Cardiol. 2023;81:1996–2009. 118. Dorsheimer L, Assmus B, Rasper T, et al. Associ- ation of mutations contributing to clonal hematopoi- esis with prognosis in chronic ischemic heart failure. JAMA Cardiol. 2019;4:25–33. 119. Marston NA, Pirruccello JP, Melloni GEM, et al. Clonal hematopoiesis, cardiovascular events and treatment benefit in 63,700 individuals from five TIMI randomized trials. Nat Med. 2024;30:2641– 2647. 120. Cobo I, Tanaka T, Glass CK, Yeang C. Clonal he- matopoiesis driven by DNMT3A and TET2 mutations: role in monocyte and macrophage biology and atherosclerotic cardiovascular disease. Curr Opin Hematol. 2022;29:1–7. 121. Svensson EC, Madar A, Campbell CD, et al. TET2- driven clonal hematopoiesis and response to canakinumab: an exploratory analysis of the CANTOS randomized clinical trial. JAMA Cardiol. 2022;7:521– 528. 122. Welty FK, Schulte F, Alfaddagh A, Elajami TK, Bistrian BR, Hardt M. Regression of human coronary artery plaque is associated with a high ratio of (18- hydroxy-eicosapentaenoic acid + resolvin E1) to leukotriene B4. FASEB J. 2021;35:e21448. 123. Conte MS, Desai TA, Wu B, Schaller M, Werlin E. Pro-resolving lipid mediators in vascular disease. J Clin Invest. 2018;128(9):3727–3735. 124. Ramirez JL, Gasper WJ, Khetani SA, et al. Fish oil increases specialized pro-resolving lipid mediators in PAD (The OMEGA-PAD II Trial). J Surg Res. 2019;238: 164–174. 125. Potere N, Bonaventura A, Abbate A. Novel ther- apeutics and upcoming clinical trials targeting inflammation in cardiovascular diseases. Arterioscler Thromb Vasc Biol. 2024;44:2371–2395. 126. Zheng WC, Chan W, Dart A, Shaw JA. Novel therapeutic targets and emerging treatments for atherosclerotic cardiovascular disease. Eur Heart J CardiovascPharmacother. 2024;10:53–67. 127. Triglia LT, Gurgoglione FL, Barocelli F, Bianconcini M, Niccoli G. Lipids and inflammation: novel molecular targets and therapeutic implications. Curr Med Chem. 2025;32:2950–2970. KEY WORDS ACC Scientific Statement, inflammation, high-sensitivity C-reactive protein, prevention, cardiovascular disease, omega-3 fatty acids Mensah et al J A C C V O L . ■ , N O . ■ , 2 0 2 5 Inflammation and Cardiovascular Disease ■ , 2 0 2 5 : ■ – ■ 22 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref81 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref81 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref81 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref81 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref82 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref82 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref82 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref82 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref83 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref83 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref83 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref84 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref84 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref84 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref84 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref84 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref85 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref85 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref85 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref86 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref86 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref86 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref86 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref87 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref87 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref87 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref88 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref88 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref89 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref89 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref89 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref90 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref90 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref90 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref90 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref91 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref91 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref91 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref91 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref92 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref92 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref92 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref93 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref93 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref93 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref94 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref94 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref94 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref94 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref95 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref95 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref95 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref95 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref95 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref96 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref96 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref96 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref96 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref97 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref97 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref97 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref97 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref97 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref127 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref127 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref127 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref127 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref127 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref128 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref128 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref128 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref128 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref129 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref129 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref129 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref129 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref121 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref121 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref121 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref122 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref122 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref122 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref122 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref123 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref123 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref123 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref123 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref124 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref124 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref124 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref98 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref98 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref98 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref98 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref98 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref99 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref99 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref99 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref99 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref100 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref100 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref100 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref101 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref101 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref101 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref101 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref102 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref102 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref102 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref102 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref102 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref103 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref103 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref103 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref103 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref103 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref104 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref104 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref104 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref104 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref105 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref105 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref105 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref105 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref105 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref106 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref106 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref106 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref107 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref107 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref107 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref107 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref107 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref108http://refhub.elsevier.com/S0735-1097(25)07555-2/sref108 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref108 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref108 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref108 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref109 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref109 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref109 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref110 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref110 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref110 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref110 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref110 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref111 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref111 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref111 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref111 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref112 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref112 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref112 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref112 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref112 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref113 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref113 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref113 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref113 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref113 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref114 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref114 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref114 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref114 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref114 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref115 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref115 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref115 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref115 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref115 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref116 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref116 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref116 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref117 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref117 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref117 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref117 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref118 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref118 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref118 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref118 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref119 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref119 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref119 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref119 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref120 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref120 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref120 http://refhub.elsevier.com/S0735-1097(25)07555-2/sref120 Committee Member Employment Consultant Speakers Bureau Ownership/ Partnership/ Principal Personal Research Institutional, Organizational, or Other Financial Benefit Expert Witness George A. Mensah, Chair National Heart, Lung, and Blood Institute, National Institutes of Health— Director of the Center for Translation Research and Implementation Science None None None None None None Natalie Arnold Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg- Eppendorf n Apontis Pharma n Arrowhead n Amgen n Novartis Corporation n Sanofi- Aventis None n Novartis Corporation* None None Sumanth D. Prabhu Washington University School of Medicine—Tobias and Hortense Lewin Distinguished Professor of Cardiovascular Diseases Chief, Division of Cardiology None None n BioThera†‡ None None None Paul M Ridker Harvard Medical School—Eugene Braunwald Professor of Medicine; Center for Cardiovascular Disease Prevention—Director; Brigham and Women’s Hospital—Physician n Agepha* n AstraZeneca n Cardiol Therapeutics* n Caristo n Lilly* n Merck n New Amsterdam* n Nodthera* n Novartis Corporation* n Novo Nordisk Inc.* n Pfizer Inc* n Tourmaline Bio* None None n Amarin* n Kowa Pharmaceuticals* n NHLBI* n NCI n Novo Nordisk n Novo Nordisk Foundation n Novartis* n Angiowave, Inc† n Uppton, Ltd† None Francine K. Welty University of Massachusetts; Division of Nutrition, Harvard Medical School None None None None None None This table represents the relationships of committee members with industry and other entities that were determined to be relevant to this document. These relationships were reviewed and updated in conjunction with all meetings and/or conference calls of the writing committee during the document development process. The table does not necessarily reflect relationships with industry at the time of publication. A person is deemed to have a significant interest in a business if the interest represents ownership of $5% of the voting stock or share of the business entity or ownership of $$5,000 of the fair market value of the business entity; or if funds received by the person from the business entity exceed 5% of the person’s gross income for the previous year. Relationships that exist with no financial benefit are also included for the purpose of transparency. Relationships in this table are modest unless otherwise noted. According to the ACC, a person has a relevant relationship IF: a) the relationship or interest relates to the same or similar subject matter, intellectual property or asset, topic, or issue addressed in the document; b) the company/entity (with whom the relationship exists) makes a drug, drug class, or device addressed in the document or makes a competing drug or device addressed in the document; or c) the person or a member of the person’s household has a reasonable potential for financial, professional, or other personal gain or loss as a result of the issues/content addressed in the document. For the purposes of full transparency, the authors’ comprehensive disclosure information is available in a Supplemental Appendix. *Significant relationship. †No financial benefit. ‡Spousal relationship. The ACC requires authors to report relationships with industry and other entities for themselves as well as members of their household. This relationship of a household member arose after the document was sent for peer review and did not influence document development. ACC = American College of Cardiology; DSMB = data and safety monitoring board; NHLBI = National Heart, Lung, and Blood Institute; NIH = National Institutes of Health. APPENDIX 1. AUTHOR RELATIONSHIPS WITH INDUSTRY AND OTHER ENTITIES (RELEVANT)— INFLAMMATION AND CARDIOVASCULAR DISEASE: 2025 ACC SCIENTIFIC STATEMENT J A C C V O L . ■ , N O . ■ , 2 0 2 5 Mensah et al ■ , 2 0 2 5 : ■ – ■ Inflammation and Cardiovascular Disease 23 https://doi.org/10.1016/j.jacc.2025.08.047 Reviewer Employment Consultant Speakers Bureau Ownership/ Partnership/ Principal Personal Research Institutional, Organizational, or Other Financial Benefit Expert Witness Martha Gulati Smidt Heart Institute, Cedars-Sinai Medical Center—Director of Prevention and Associate Director of the Barbra Streisand Women’s Heart Center n Boehringer Ingelheim n Eli Lilly and Co. n Medtronic* n Merck & Co. n New Amsterdam Pharma n Zoll Medical None None None n American Soci- ety for Preven- tive Cardiology (Officer/ Director)† None Lara C. Kovell University of Massachusetts, Associate Professor of Medicine None None None None None None Robert Rosenson Mount Sinai Health System—Director, Metabolism and Lipids; Professor of Medicine n Avilar Therapeutics n GlaxoSmithKline n Intercept Pharmaceuticals* n Life Extensionn Lipigon Pharmaceuticals n New Amsterdam Pharma n Novartis Corporation n Rona Therapeutics None n MediMergent (stock)* None n Amgen (ARO) n Wolters Kluwer* None *Significant relationship. †No financial benefit. ACC = American College of Cardiology; ARO = academic research organization. APPENDIX 2. REVIEWER RELATIONSHIPS WITH INDUSTRY AND OTHER ENTITIES (COMPREHENSIVE)— INFLAMMATION AND CARDIOVASCULAR DISEASE: 2025 ACC SCIENTIFIC STATEMENT Mensah et al J A C C V O L . ■ , N O . ■ , 2 0 2 5 Inflammation and Cardiovascular Disease ■ , 2 0 2 5 : ■ – ■ 24 Inflammation and Cardiovascular Disease: 2025 ACC Scientific Statement Introduction Definitions and Classifications Background Evaluation and risk assessment Biomarkers Imaging biomarkers hsCRP screening and inflammation inhibition in primary prevention hsCRP screening and anti-inflammatory approaches in secondary prevention Inflammatory pathways in behavioral and lifestyle risks Inflammation in HF and other CVD Anti-inflammatory therapy for recurrent pericarditis Evidence gaps and future directions Call to action: inflammation and CVD President and Staff References Appendix 1. Author Relationships With Industry and Other Entities (Relevant)—Inflammation and Cardiovascular Disease: 2025 ACC Scientif ... Appendix 2. Reviewer Relationships With Industry and Other Entities (Comprehensive)—Inflammation and Cardiovascular Disease: 2025 ACC S ...this drug reduces the activity of proinflammatory and immune-related pathways. Parainflammation: A state of low-grade, chronic, sub- clinical inflammation that occurs when tissues are under mild or persistent stress—not enough to trigger full im- mune activation, but enough to disrupt normal cellular function. Tissue macrophages are important drivers of this response. Plasminogen activator inhibitor-1: A serine protease inhibitor that functions as the principal inhibitor of tissue-type plasminogen activator and urokinase-type plasminogen activator, the enzymes responsible for converting plasminogen to plasmin, the key enzyme in fibrinolysis. Perivascular fat attenuation index: A quantitative imaging marker derived from computed tomography scans that measures the density (attenuation) of fat sur- rounding blood vessels, especially coronary arteries. Perivascular fat phenotyping: The process of analyzing the characteristics of the fat tissue surrounding blood vessels to understand its biological behavior and impact on cardiovascular health and disease. Residual inflammatory risk: Persistent, elevated risk of cardiovascular events that manifest as chronic, low- grade inflammation in some individuals despite optimal management of traditional risk factors. This risk is most commonly measured with high-sensitivity C-reactive protein (hsCRP). Specialized pro-resolving lipid mediator (SPM): A bioactive lipid molecule derived from polyunsaturated fatty acids—mainly omega-3 fatty acids—that actively promote the resolution of inflammation without causing immunosuppression. Vulnerable plaque: A type of atherosclerotic plaque that has a high risk of rupturing and triggering a thrombus formation that may lead to an acute cardio- vascular event, such a myocardial infarction or stroke. Mensah et al J A C C V O L . ■ , N O . ■ , 2 0 2 5 Inflammation and Cardiovascular Disease ■ , 2 0 2 5 : ■ – ■ 2 Background In March 2002, the Centers for Disease Control and Pre- vention and the American Heart Association convened a workshop to assess the state of the science on inflam- mation and provide guidance on the use of inflammatory markers for predicting CVD risk in clinical and public health practice.1 The resulting scientific statement iden- tified hsCRP as the analyte of choice in specific clinical settings, such as in persons at intermediate CVD risk, where hsCRP might guide further evaluation and therapy; however, the 2002 statement discouraged inflammatory marker use in widespread population screening due to insufficient evidence. The statement further called for rigorous randomized clinical trials to clarify the utility of inflammatory markers in CVD treatment planning. Since that workshop, substantial progress has been made in the basic, clinical, and population science research in inflammation and CVD. It is now well estab- lished that chronic, silent, low-grade inflammation, together with key mediators like cytokines, chemokines, and acute-phase reactants, plays a pivotal role in atherosclerotic plaque formation, progression, rupture, and thrombogenesis that lead to acute coronary syn- drome. Additionally, inflammatory pathways, driven by immunoregulatory influences, contribute to endothelial dysfunction, leukocyte infiltration of the subendothelial space, foam cell formation, and apoptosis that further contribute to atherogenesis. These advances have paved the way for several novel therapeutic avenues focused on modulating inflammation to reduce CVD burden and risk. In the following sections of this scientific statement, in- sights from seminal publications on these topics are dis- cussed and consensus recommendations for clinical practice are summarized in Table 1. T A B L E 1 Table of Consensus Recommendations Evaluation and Risk Assessment Biomarkers n Because clinicians will not treat what they do not measure, universal screening of hsCRP in both primary and secondary prevention patients, in combination with cholesterol, represents a major clinical opportunity and is therefore recommended. n Other inflammatory biomarkers such as serum amyloid A, IL-6, fibrinogen, white blood cell count, neutrophil-to-lymphocyte ratio, and EPA/AA ratio also predict cardiovascular risk; however, routine evaluation of these adds little to hsCRP and only hsCRP is recognized by regulatory agencies and has consistently been used in major cardiovascular outcome trials. Imaging biomarkers n Imaging biomarkers to detect vascular inflammation are promising in research but should not be used in routine clinical settings. hsCRP screening and inflammation inhibition in primary prevention n A single measurement of hsCRP (>3 mg/L) can be used in routine clinical practice to identify individuals at increased inflammatory risk if the patient is not acutely ill. n In individuals with increased inflammatory burden, an early initiation of lifestyle interventions is recommended to reduce inflammatory risk. n In primary prevention, the finding of a persistently elevated hsCRP level should lead to consideration of initiation or intensification statin ther- apy, irrespective of LDL cholesterol. hsCRP screening and anti-inflammatory approaches in secondary prevention n Among individuals with known cardiovascular disease both treated and not treated with statins, hsCRP is at least as powerful a predictor of recurrent vascular events as that of LDL cholesterol, demonstrating the importance of “residual inflammatory risk” in contemporary practice. n Among individuals taking statin therapy, consideration should be given to increase dosage into the higher intensity range if hsCRP levels remain >2 mg/L, irrespective of LDL cholesterol. n Low-dose colchicine reduces cardiovascular events among individuals with chronic stable atherosclerosis and is the first FDA approved anti- inflammatory agent for this purpose. n Low-dose colchicine is intended to be used as an adjunct to lipid lowering; however, colchicine has not proven effective when initiated at the time of acute ischemia and should be avoided among individuals with significant liver or renal disease. n Several novel anti-inflammatory agents, including IL-6 inhibitors, are now being evaluated in ongoing randomized trials in the settings of chronic kidney disease, dialysis, HFpEF, and acute coronary syndrome. Inflammatory pathways in behavioral and lifestyle risks n Focus on anti-inflammatory patterns like the Mediterranean or DASH diet. ○ Emphasize consumption of fruits, vegetables, whole grains, legumes, nuts, and olive oil. ○ Increase dietary intake of omega-3 fatty acids; 2-3 fish meals/wk are recommended—preferably fatty fish high in EPA+DHA. ○ Minimize red and processed meats, refined carbohydrates, and sugary beverages. n Engage in $150 min/wk of moderate exercise or 75 min/wk of intense exercise. n Quit smoking to reduce chronic low-grade inflammation. n Maintain a healthy weight to attenuate systemic inflammation. Inflammation in HF and other CVD n Inflammatory and immune markers such as hsCRP and IL-6 may be used as risk predictors in chronic HF. n EPA+DHA may be considered as part of the management of patients with NYHA functional class II-IV HF, irrespective of etiology or LVEF. n Statins may be considered as a part of management for patients with ischemic HF and >60 years of age. Anti-inflammatory therapy for recurrent pericarditis n IL-1 blockade may be considered among select patients with multiple recurrent episodes of colchicine- and steroid-resistant pericarditis, with hsCRP levels >10 mg/L, in the absence of tuberculosis. n Novel anti-inflammatory therapies for recurrent pericarditis represent an important therapeutic advance for high-risk patients. AA = arachidonic acid; CVD = cardiovascular disease; DASH = Dietary Approaches to Stop Hypertension; DHA = docosahexaenoic acid; EPA = eicosapentaenoic acid; FDA = U.S. Food and Drug Administration;HF = heart failure; HFpEF = heart failure with preserved ejection fraction; hsCRP = high-sensitivity C-reactive protein; IL-1 = interleukin-1; IL-6 = interleukin-6; LDL = low-density lipoprotein; LVEF = left ventricular ejection fraction. Abbreviations Abbreviation Meaning/Phrase ASCVD atherosclerotic cardiovascular disease CHD coronary heart disease CHIP clonal hematopoiesis of indeterminate potential CVD cardiovascular disease DHA docosahexaenoic acid EPA eicosapentaenoic acid HF heart failure HFpEF heart failure with preserved ejection fraction hsCRP high-sensitivity C-reactive protein IL interleukin LDL low-density lipoprotein LV left ventricular SMuRF standard modifiable risk factor SPM specialized pro-resolving lipid mediator J A C C V O L . ■ , N O . ■ , 2 0 2 5 Mensah et al ■ , 2 0 2 5 : ■ – ■ Inflammation and Cardiovascular Disease 3 T A B L E 2 Major Clinical Trials Trial Name Drug Sample Size (n) Population/NYHA Functional Class Follow-Up Primary Endpoint Treatment Outcome ATTACH8 Infliximab (TNF inhibitor) 150 NYHA III-IV HF 7 mo Clinical status (composite score) at 14 wks No improvement or worsening (with high doses) of clinical condition ACCLAIM9 Celacade 2,426 NYHA II-IV HF 10.2 mo Composite: all-cause mortality and CV hospitalization No difference in primary endpoint; improved outcomes in subjects with prior MI and NYHA II HF CANTOS3,10 Canakinumab (anti–IL-1) 10,061 Prior MI; hsCRP $2 mg/L 3.7 y Nonfatal MI, nonfatal stroke, or CV death (main study3) HHF; composite of HHF and HF-related mortality (HF outcomes study10) Dose-dependent reduction in primary endpoint events CIRT11 Methotrexate 4,786 Previous MI stable CAD 2.3 y (median) CV event rates No reduction in CV event rates; did not lower IL-1, IL-6, or hsCRP CLEAR- SYNERGY12 Colchicine 3,528 Acute MI plus PCI 3 y Death from CV causes, recurrent MI, stroke, or unplanned ischemia-driven coronary revascularization Colchicine did not reduce primary endpoint when started soon post-MI COLCOT13 Colchicine 4,745 Stable post-MI patients 22.6 mo CV event reduction Significantly lower risk of ischemic CV events than placebo CORONA14 Rosuvastatin 5,011 NYHA II-IV HF 32.8 mo Composite of CV death, nonfatal MI, or nonfatal stroke No difference in primary endpoint; reduction in CV hospitalizations GISSI-HF15 Rosuvastatin 4,574 NYHA II-IV HF 3.9 y All-cause mortality; composite of all-cause mortality and CV hospitalization No difference in primary endpoint GISSI-HF15 Omega-3 PUFA 6,975 NYHA II-IV HF 3.9 y All-cause mortality; composite of all-cause mortality and CV hospitalization Modest reduction in all-cause mortality (HR: 0.91; 95% CI: 0.833-0.998), and composite endpoint (HR: 0.92; 99% CI: 0.849-0.999) JUPITER16 Rosuvastatin 17,802 No CVD (LDL cholesterollevels of hsCRP 3 mg/L connote lower, average, and higher relative cardiovascular risk, respectively, when interpreted in the context of other traditional factors (Figure 1).23,24 hsCRP levels >10 mg/L may reflect a transient infectious process or other acute-phase response and thus should be repeated in 2 to 3 weeks with the lower value, not the average, used for risk prediction;23,25 however, persis- tently high hsCRP values may be seen and do not neces- sarily represent false-positive findings, because many individuals with chronic autoinflammatory disorders also suffer from premature atherosclerosis.26 When measured in stable outpatients, the long-term stability and variability of hsCRP is comparable with that of low-density lipoprotein (LDL) cholesterol and blood pressure. Moreover, the long-term information content implicit in hsCRP appears to be at least as large as that associated with LDL cholesterol. For example, in a recent prospective study inclusive of 27,939 initially healthy U.S. women, a single random assessment of hsCRP provided a greater spread of risk for future car- diovascular events during the next 30 years when directly compared with either LDL cholesterol or lipoprotein(a) (Figure 2).27 Similar contemporary data demonstrating the independent and additive clinical utility of LDL, hsCRP, and lipoprotein(a) have recently been presented from the EPIC (European Prospective Investigation into Cancer)-Norfolk study inclusive of 17,087 men and women followed for 20 years.28 Alternative inflammatory biomarkers, including fibrinogen, lipoprotein-associated phospholipase-A2, myeloperoxidase, serum amyloid A, total white blood cell count, neutrophil-to-lymphocyte ratio, eicosapentaenoic acid (EPA)/arachidonic acid ratio, and interleukin-6 (IL-6), have also found predictive value but generally have not proven superior to hsCRP and often are not widely avail- able in standardized commercial formats. As will be described in the following text, several novel approaches to inflammation imaging hold promise for the detection of silent vascular inflammation. Further, imaging for coro- nary artery calcium is an efficient method to detect un- derlying atherosclerotic disease and the strongest risk predictor. Yet, although coronary artery calcium can tell clinicians who to treat, it cannot tell clinicians what to use for treatment. As such, universal screening for hsCRP, along with LDL cholesterol and lipoprotein(a), among individuals suspected to have atherosclerotic risk is becoming a common approach to vascular disease evalu- ation and risk assessment.29 hsCRP screening should be done when patients are stable and not during an acute infection or during other acute clinical events. Consensus recommendations: evaluation and risk assessment, biomarkers n Because clinicians will not treat what they do not measure, universal screening of hsCRP in both primary and secondary CVD prevention represents a major clinical opportunity and is therefore recommended. n Whereas several other inflammatory biomarkers, such as IL-6, fibrinogen, and neutrophil-to-lymphocyte ra- tio, also predict risk, routine evaluation of these adds little to hsCRP. Imaging biomarkers Noninvasive imaging techniques for assessing local vascular inflammation might represent a valuable approach to enhance risk prediction and even guide the J A C C V O L . ■ , N O . ■ , 2 0 2 5 Mensah et al ■ , 2 0 2 5 : ■ – ■ Inflammation and Cardiovascular Disease 5 management of patients with residual inflammatory risk in the future. To date, there are several imaging modal- ities, including computed tomography, cardiac magnetic resonance, ultrasound, and positron emission tomogra- phy imaging with fluorodeoxyglucose (Figure 3),30 that might help to identify inflamed atherosclerotic plaques and perivascular inflammation. Both conditions are known to drive the progression of atherosclerosis and plaque rupture.30 These modalities, however, have unique advantages and limitations29-31 and currently are mainly used in research. A recently introduced and promising noninvasive computed tomography–derived imaging biomarker may directly identify both inflamed coronary arteries without atherosclerosis and vulnerable athero- sclerotic plaques prone to rupture by using perivascular fat phenotyping.32 Named perivascular “fat attenuation index,” this method has been already shown to predict future coronary events independently of the calcium score and traditional cardiovascular risk factors.33 Although imaging biomarkers might represent a promising research tool for the integration of vascular inflammation into personalized cardiovascular risk stratification, there are several issues to be addressed, such as a better under- standing of the interplay with circulating inflammatory biomarkers, effects of anti-inflammatory treatment on plaque progression, and local arterial inflammation. Although preliminary, results of the small EKSTROM (Effect of Colchicine on Progression of Known Coronary Atherosclerosis in Patients With Stable Coronary Artery Disease Compared to Placebo) trial34 showed that low- dose colchicine therapy modestly reduced total plaque volume in stable patients with coronary heart disease (CHD) compared with those taking placebo after 1 year are of interest and consistent with trial data demonstrating efficacy of low-dose colchicine in patients with estab- lished atherosclerotic cardiovascular disease (ASCVD). FIGURE 1 Clinical Interpretation of hsCRP for Cardiovascular Risk Prediction The relationship of inflammation to cardiovascular (CV) risk is linear across a wide range of high-sensitivity C-reactive protein (hsCRP) values. Blue bars represent crude relative risks; red bars represent relative risks adjusted for traditional Framingham Risk Score factors. Data from Ridker et al.28 Reproduced from Ridker et al.23 Mensah et al J A C C V O L . ■ , N O . ■ , 2 0 2 5 Inflammation and Cardiovascular Disease ■ , 2 0 2 5 : ■ – ■ 6 Consensus recommendation: imaging biomarkers n Imaging biomarkers to detect vascular inflammation are promising in research but should not be used in routine clinical settings. hsCRP screening and inflammation inhibition in primary prevention The seminal Physician’s Health Study35 in 1997 initiated a series of epidemiological studies in primary prevention, providing unequivocal evidence that elevated hsCRP concentration might serve as a robust predictor of future ASCVD events among apparently healthy individuals, independent of conventional risk factors. A comprehen- sive meta-analysis of 54 studies that included 160,309 individuals without a history of ASCVD has further sup- ported these findings, showing that a 1-SD increase in hsCRP concentration was associated with a 37% increased risk of CHD and a 55% increased risk of cardiovascular death.36 Interestingly, the magnitude of association FIGURE 2 Cumulative Incidence of First Major Cardiovascular Events According to Baseline Levels of hsCRP and LDL-C 30-year HRs and cumulative incidence for first major adverse cardiovascular events among 27,939 initially healthy American women, according to increasing quintiles of baseline level of low-density lipoprotein cholesterol (LDL-C) (bottom) and high-sensitivity C-reactive protein (hsCRP) (bottom). As shown, the magnitude of risk is greater for inflammation than for cholesterol. Data are adjusted for age, smoking status, diabetes, blood pressure, estimated glomerular filtration rate, and body mass index. Adapted with permission from Ridker et al.26 J A C C V O L . ■ , N O . ■ , 2 0 2 5 Mensah et al ■ , 2 0 2 5 : ■ – ■ Inflammation and Cardiovascular Disease 7 between elevated hsCRP (per 1-SD increase) and incident CVD was largely comparable with that found for systolic blood pressure36 and appeared to be stronger than the associations observed for conventionallipids (total, non– high-density lipoprotein, or LDL cholesterol)26,36 or li- poprotein(a).26,37 Elevated hsCRP also predicts incident CHD among individuals without standard modifiable risk factors (SMuRFs) at baseline, thereby extending its utility beyond traditional risk categories.38,39 In general, the prevalence of a moderate to higher risk hsCRP levels $2 mg/L in adults in the primary prevention setting may vary from approximately 30% to 35% in Europe37,40 to 50% in the United States.41,42 This could become an important public health issue in the near future, especially due to the obesity epidemic, because body mass index (in combination with smoking) is currently considered an important determinant of longi- tudinal hsCRP changes.43 More importantly, already 15% of U.S. adolescents aged 12 to 19 years have reported increased hsCRP concentrations.44 Considering that treatment of lifestyle risk factors such as increased body weight, smoking, physical inactivity, and unhealthy diet have a strong anti-inflammatory effect,45,46 hsCRP is an easily measurable clinical biomarker that should be broadly used as a tool to identify and monitor those with an inflammatory burden, especially in the case of pri- mordial prevention (Figure 4).46 The initial evidence that inflammation might become a valuable therapeutic drug target came from statin trials, which showed that statin administration reduces both LDL cholesterol and hsCRP, with reductions in both pa- rameters contributing to beneficial effects on outcomes. A post hoc analysis of AFCAPS/TexCAPS (Air Force/Texas Coronary Atherosclerosis Prevention Study)47 revealed that the reduction in major adverse cardiovascular events observed in subjects treated with lovastatin was not limited to those with elevated LDL cholesterol levels ($149.1 mg/dL): similar risk reduction was also seen in individuals with normal LDL cholesterol but elevated hsCRP (>1.6 mg/L) levels (47% and 42% relative risk reduction for 5 years, respectively).47 The subsequent JUPITER (Rosuvastatin to Prevent Vascular Events in Men and Women With Elevated C-Reactive Protein) study16 was the first randomized placebo-controlled trial to investigate the effect of 20 mg of rosuvastatin in in- dividuals with LDL cholesterol levels 3 mg/L) can be used in routine clinical practice to identify primary prevention individuals at increased inflammatory risk as long as the patient is not acutely ill. n In individuals with increased inflammatory burden, an early initiation of lifestyle interventions is recom- mended to reduce inflammatory risk. FIGURE 5 Cumulative Incidence of Cardiovascular Events in the JUPITER Primary Prevention Trial of Patients With Low Levels of LDL Cholesterol But Elevated hsCRP Panel A shows the cumulative incidence of the primary endpoint (nonfatal myocardial infarction, nonfatal stroke, arterial revascularization, hospitalization for unstable angina, or confirmed death from cardiovascular causes). The HR for rosuvastatin, as compared with placebo, was 0.56 (95% CI: 0.46-0.69; PDeath (Top) Following statin therapy, risks of cardiovascular death are greater for individuals with increasing levels of high-sensitivity C-reactive protein (hsCRP) (black) than for individuals with increasing levels of low-density lipoprotein (LDL) cholesterol (white). (Bottom) Following statin therapy, risks of cardiovascular death are high among those with elevated hsCRP and low LDL cholesterol, but conversely low among those with low hsCRP and elevated LDL cholesterol. Reproduced with permission from Ridker et al.51 J A C C V O L . ■ , N O . ■ , 2 0 2 5 Mensah et al ■ , 2 0 2 5 : ■ – ■ Inflammation and Cardiovascular Disease 11 n In primary prevention, the finding of a persistently elevated hsCRP level should lead to consideration of initiation or intensification statin therapy, irrespective of LDL cholesterol. hsCRP screening and anti-inflammatory approaches in secondary prevention As described previously for primary prevention, there are abundant contemporary data in secondary prevention that measurement of hsCRP effectively identifies in- dividuals at high risk for recurrent cardiovascular events. In a contemporary overview inclusive of 31,245 statin- treated patients participating in the PROMINENT (Pemafibrate to Reduce Cardiovascular Outcomes by Reducing Triglycerides in Diabetic Patients), REDUCE-IT (Evaluation of the Effect of AMR101 on Cardiovascular Health and Mortality in Hypertriglyceridemic Patients With Cardiovascular Disease or at High Risk for Cardio- vascular Disease: Reduction of Cardiovascular Events With EPA - Intervention Trial), and STRENGTH (Effect of High-Dose Omega-3 Fatty Acids vs Corn Oil on Major Adverse Cardiovascular Events in Patients at High Car- diovascular Risk) trials, hsCRP proved to be a stronger predictor of recurrent myocardial infarction, stroke, and cardiovascular death than that of LDL cholesterol (Figure 6A).51 Moreover, risks for recurrent events were quite high for those with hsCRP >2 mg/L despite having LDL cholesterol levels 2 mg/L despite aggressive contemporary care and again experienced poor clinical outcomes.53 Broad screening of almost all secondary prevention patients for hsCRP and “residual inflammatory risk” rep- resents a major clinical opportunity.29 As demonstrated in CANTOS (Canakinumab Anti-Inflammatory Thrombosis Outcomes Study),3 targeted inhibition of the interleukin-1 (IL-1) to IL-6 to CRP pathway of innate immunity reduced recurrent vascular events among stable statin-treated patients by 15% to 17%, an effect as large as that antici- pated from proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibition,54,55 yet a benefit achieved without any change in LDL cholesterol or apolipoprotein(b) concentration. Although additional benefits of canakinu- mab in CANTOS were observed for anemia, gout, large- joint arthritis, and lung cancer, adverse effects included small but statistically significant reductions in neutro- phils and a small increase in risk of infections. Whereas CANTOS provided proof of principle for the inflammation hypothesis of atherothrombosis, canakinumab is not available for cardiovascular use, because its primary role remains as an orphan drug used for rare individuals with IL-1 overexpression syndromes and its experimental role has shifted to the treatment and “interception” of lung cancer.56 Fortunately, the inexpensive anti-inflammatory agent low-dose colchicine (0.5 mg daily) has now been shown in COLCOT (Colchicine Cardiovascular Outcomes Trial)13 and the LoDoCo2 (Low Dose Colchicine) for secondary prevention of CVD17 randomized trials to reduce recur- rent cardiovascular events among patients with chronic stable atherosclerosis by 25%. A comparable 16% reduc- tion in recurrent cardiovascular events has been observed with colchicine in a recent trial of those with prior stroke, although that effect was not statistically significant.57 By contrast, in the CLEAR-SYNERGY (Colchicine and Spi- ronolactone in Patients with MI/SYNERGY) Stent Regis- try, which was a 2×2 factorial trial of colchicine and spironolactone, colchicine was not effective when initi- ated in the setting of acute STEMI.12 Interpretation of CLEAR-SYNERGY, however, has proven to be complex. First, acute STEMI is a time where proven therapies largely relate to reperfusion and restoration of blood flow suggesting that the “timing of taming of inflammation” will be important in clinical practice.58 Second, the COVID-19 pandemic markedly impacted trial results; prior to COVID-19, the hazard ratio for colchicine in CLEAR-SYNERGY indicated a 22% reduction in cardio- vascular risk (HR: 0.78; 95% CI: 0.60-1.02), data consis- tent with the preceding COLCOT and LoDoCo2 trials. Yet, after the onset of COVID—a time of global inflammation when access to care changed radically and clinical trials were difficult to monitor and conduct—no benefit of colchicine was observed raising concern about study drug adherence and compliance during the pandemic. This issue may help explain why the spironolactone arm of CLEAR-SYNERGY also failed to show benefit. Third, although 120 global sites participated in CLEAR- SYNERGY, more than a third of the total trial partici- pants (2,589 patients) were enrolled from 4 sites in 1 small Eastern European country. Although extensive commentary has been made regarding these limita- tions,59-63 it is important to recognize that CLEAR- SYNERGY is also the largest colchicine trial conducted to date. On the other hand, updated meta-analyses Mensah et al J A C C V O L . ■ , N O . ■ , 2 0 2 5 Inflammation and Cardiovascular Disease ■ , 2 0 2 5 : ■ – ■ 12 inclusive of the neutral CLEAR-SYNERGY data indicate an overall 25% relative risk reduction in major adverse car- diovascular events (HR: 0.75; 95% CI: 0.56-0.93).64 Currently, low-dose colchicine (0.5 mg daily) is approved by the U.S. Food and Drug Administration to reduce the risk of myocardial infarction, stroke, coronary revascularization, and cardiovascular death in adult pa- tients with established atherosclerotic disease or with multiple risk factors for CVD. Because colchicine is renally and hepatically metabolized, use should be limited to those with preserved renal and hepatic func- tion and temporarily stopped if concomitant therapies that may alter colchicine metabolism are being used, such as clarithromycin, ketoconazole, fluconazole, or cyclosporin.65 Despite significant evidence of efficacy and safety, the use of inexpensive low-dose colchicine in the Unites States and globally remains infrequent.66 It is important to recognize that not all trials of anti- inflammatory therapy in secondary prevention have been successful and such trial evidence is needed before recommendations for other agents can be made. For example, the National Institutes of Health–funded CIRT (Cardiovascular Inflammation Reduction Trial) found no benefit for low-dose methotrexate in the setting of chronic atherosclerosis, but also found that this therapy—widely used to treat rheumatoid arthritis—did not reduce levels of either IL-6 or hsCRP.11 Based upon evidence from the CANTOS IL-1β inhibition trial suggesting that the greatest benefits of anti-inflammatory therapy accrued among those with the greatest reduction in IL-6, a series of large-scale trials testing the novel IL-6 ligand inhibitor ziltivekimab have been initiatedin the settings of chronic kidney disease, heart failure with preserved ejection fraction (HFpEF), and acute coronary ischemia.67 In addition, the novel IL-6 ligand inhibitor clazakizumab is being tested for atherosclerotic event reduction in the setting of dialysis.68 It is anticipated that results from the earliest of these trials will be available in late 2026 or early 2027. Consensus recommendations: hsCRP screening and anti-inflammatory approaches in secondary prevention n Among individuals with known cardiovascular disease both treated and not treated with statins, hsCRP is at least as powerful a predictor of recurrent vascular events as that of LDL cholesterol, demonstrating the importance of “residual inflammatory risk” in contemporary practice. n Among individuals taking statin therapy, consideration should be given to increase dosage into the higher in- tensity range if hsCRP levels remain >2 mg/L, irre- spective of LDL cholesterol. n Low-dose colchicine reduces cardiovascular events among individuals with chronic stable atherosclerosis and is the first U.S. Food and Drug Administration– approved anti-inflammatory agent for this purpose. n Low-dose colchicine is intended to be used as an adjunct to lipid lowering; however, it has not proven effective when initiated at the time of acute ischemia and should be avoided among individuals with signif- icant liver or renal disease. n Several novel anti-inflammatory agents are now being evaluated in ongoing randomized trials in the settings of chronic kidney disease, dialysis, HFpEF, and acute coronary syndrome. Inflammatory pathways in behavioral and lifestyle risks Recent evidence from 3 prospective cohorts, including >200,000 participants, indicates that proinflammatory dietary patterns are associated with increased risk of CVD.69 Conversely, the PREDIMED (Primary Prevention of Cardiovascular Disease With a Mediterranean Diet Supplemented With Extra-Virgin Olive Oil or Nuts) ran- domized controlled trial showed that adherence with a calorie-restricted Mediterranean diet supplemented with extra-virgin olive oil or nuts reduced inflammation and major cardiovascular events compared with a low-fat diet in high-risk patients.19 Furthermore, lifelong intake of fish has been associated with a lower risk of CVD events in 24 prospective studies with 714,526 individuals from several countries.70,71 Plasma levels of EPA and docosa- hexaenoic acid (DHA), the polyunsaturated fatty acids in fish, may account for the benefit. In the prospective Cardiovascular Health Study of 2,692 U.S. adults free of coronary artery disease in 1992, higher plasma levels of omega-3 fatty acids were associated with a 27% lower rate of total mortality due to fewer CVD deaths at 16-year follow-up (HR: 0.73; 95% CI: 0.61-0.86; P-trend = 0.008).72 In the prospective MESA (Multi-Ethnic Study of Atherosclerosis) trial, the highest quartiles of plasma EPA and DHA levels were associated with HRs of 0.49 and 0.39, respectively, for incident CVD compared with the lowest quartile at 8 to 10 years of follow-up.73 In 19 international studies of 45,637 in- dividuals free of CHD, the highest quintiles of EPA and DHA were associated with 29% and 23% lower rates of nonfatal myocardial infarction (relative risk: 0.71; 95% CI: 0.56-0.90) and fatal CHD (relative risk: 0.77; 95% CI: 0.64-0.89), respectively.74 Moreover, total mortality was 18% lower in 17 prospective studies (P 1 g/d (HR: 1.49 [95% CI: 1.04- 2.15]; P = 0.042) and the risk rose by 11% for each addi- tional gram per day compared with those using #1 g/d J A C C V O L . ■ , N O . ■ , 2 0 2 5 Mensah et al ■ , 2 0 2 5 : ■ – ■ Inflammation and Cardiovascular Disease 13 (HR: 1.12 [95% CI: 1.03-1.22]; P = 0.024; P for interactionin HF.91 Spe- cific cell types have unique functional, spatial, and tem- poral profiles in the failing heart and systemically, linked with disease stage and acuity.86 Interestingly, immune cells such as macrophages also contribute to atrial and ventricular arrhythmias in HF through direct coupling with cardiomyocytes and indirect effects on the micro- environment.92,93 The observations that specific immune cells, and their inflammatory profiles, can play causal roles in the pathogenesis of HF and CVD have led to rapid expansion of the field of cardioimmunology, which pro- vides a broader understanding of the links between the immune system and heart disease, and helps identify therapeutic targets to suppress detrimental inflammatory and immune responses.87,94 Phase 3 clinical trials (reviewed by Adamo et al85 and Mann87) that have targeted inflammation in ischemic and nonischemic HF can be categorized as anti-cytokine ap- proaches (ATTACH [Anti–Tumor Necrosis Factor (TNF) With Infliximab])8 and etanercept (RENEWAL [Random- ized Etanercept Worldwide Evaluation]),21 anti–IL-1β with canakinumab (CANTOS),10 pleotropic anti- inflammatory therapies (prednisone,20,22 rosuvastatin in CORONA [Controlled Rosuvastatin Multinational Study in Heart Failure] and rosuvastatin and omega-3 Mensah et al J A C C V O L . ■ , N O . ■ , 2 0 2 5 Inflammation and Cardiovascular Disease ■ , 2 0 2 5 : ■ – ■ 14 FIGURE 7 Incidence of Hospitalization for Heart Failure (A) and Hospitalization for Heart Failure or Heart Failure–Related Mortality (B) Among Participants in the CANTOS Trial Incidence of hospitalization for heart failure (A) and hospitalization for heart failure or heart-failure related mortality (B) among participants in the CANTOS Trial. The number at risk for each year is in the table below each figure. Reproduced with permission from Everett et al.10 CANTOS = Canakinumab Anti- Inflammatory Thrombosis Outcomes Study. J A C C V O L . ■ , N O . ■ , 2 0 2 5 Mensah et al ■ , 2 0 2 5 : ■ – ■ Inflammation and Cardiovascular Disease 15 polyunsaturated fatty acids in GISSI-HF [Effect of Rosu- vastatin in Patients With Chronic Heart Failure],14,15,95 oxypurinol in OPT-HF18 [Oxypurinol in Patients With Symptomatic Heart Failure]), and immunomodulatory strategies (celacade in ACCLAIM9 [Advanced Chronic Heart Failure CLinical Assessment of Immune Modula- tion Therapy]). To date, most of these trials have not demonstrated improvements in primary clinical endpoints such as car- diovascular death or HF hospitalizations, although sig- nificant improvements in left ventricular (LV) remodeling (improved LV ejection fraction, smaller LV volume) were observed in the TIMIC (Immunosuppressive Therapy in Patients With Virus-Negative Inflammatory Cardiomy- opathy) trial in subjects with chronic postmyocarditis HF treated with prednisone and azathioprine for 6 months,22 and reductions in cardiovascular hospitalizations were observed in older subjects (>60 years of age) with ischemic cardiomyopathy in the CORONA trial.14 More- over, the omega-3 polyunsaturated fatty acid arm of the GISSI-HF trial demonstrated that 1 g daily of EPA+DHA modestly reduced both all-cause mortality and the com- posite of all-cause mortality and cardiovascular hospi- talization in subjects with NYHA functional class II-IV HF, irrespective of cause or LV ejection fraction.95 A meta-analysis of 19 randomized controlled anti- inflammatory trials with 1,341 subjects with HF with reduced ejection fraction also indicated that immuno- modulation improved LV ejection fraction and reduced LV size, albeit with a nonsignificant decrease in all-cause mortality.96 Most recently, a prespecified, exploratory analysis of the CANTOS trial indicated that canakinumab, a monoclonal antibody against IL-1β, resulted in a dose- dependent reduction in hospitalization for HF and FIGURE 8 Time to Pericarditis Recurrence in Anti–Interleukin-1 Agents Randomized Withdrawal Trials Time to recurrent pericarditis in anti–interleukin-1 agent randomized withdrawal trials. Reproduced with permission from Klein et al.112 Mensah et al J A C C V O L . ■ , N O . ■ , 2 0 2 5 Inflammation and Cardiovascular Disease ■ , 2 0 2 5 : ■ – ■ 16 composite of HF hospitalization and HF mortality in subjects with prior myocardial infarction and hsCRP >2 mg/L (Figure 7).10 This was the first trial to indicate po- tential benefit for anticytokine therapy in HF. Blood hsCRP and IL-6 are commonly elevated in pa- tients with HF and, especially in HFpEF where it portends a poorer clinical status and higher risk outcomes.98-102 Although not directly immunomodulatory, incretin ago- nists such as semaglutide and tirzepatide consistently reduced hsCRP while improving health status and exer- cise tolerance in obesity-related HFpEF (STEP-HF [Effect of Semaglutide 2.4 mg Once Weekly on Function and Symptoms in Subjects with Obesity-related Heart Failure with Preserved Ejection Fraction] trial and SUMMIT [A Study of Tirzepatide in Participants With Heart Failure With Preserved Ejection Fraction (HFpEF) and Obesity]).103,104 These observations raise the possibility that directly targeting inflammatory mediators may also be of clinical benefit in HFpEF. The ongoing HERMES (Effects of Ziltivekimab Versus Placebo on Morbidity and Mortality in Patients With Heart Failure With Mildly Reduced or Preserved Ejection Fraction and Systemic Inflammation) trial of ziltivekimab is evaluating the po- tential efficacy of IL-6 inhibition in subjects with HFpEF and hsCRP >2 mg/L.97 Beyond proinflammatory cytokines, several preclinical studies have raised consideration for directly targeting specific immune cell populations in HF. Nonetheless, the choice of specific immune-cell population; timing, dura- tion, and approach of intervention; and appropriate biochemical and imaging markers needed for follow-up are currently unclear and the focus of intense study. Po- tential approaches include blocking the CC-chemokine receptor or ligand 2 axis to prevent the infiltration of proinflammatory monocytes into the failing myocardium, and the CXC-motif chemokine receptor 3–CXC motif che- mokine ligand 9–CXC motif chemokine ligand 10 signaling axis to prevent the recruitment of T cells.85 Although not being currently trialed in HF, T-cell activation blockade with abatacept, which binds cluster of differentiation 80/ cluster of differentiation 86 costimulatory molecules on antigen-presenting cells, and ruxolitinib, a Janus kinase inhibitor, is being tested in patients with steroid-resistant immune checkpoint inhibitor–induced myocarditis.105,106 Whether similar approaches can be used in chronic HF remains to be determined. Consensus recommendations: inflammation in HF and other CVD n Inflammatory and immune markers such as hsCRP and IL-6 may be used as risk predictors in chronic HF. n EPA+DHA may be considered as part of the manage- ment of patients with NYHA functional class II-IV HF, irrespective of etiology or LV ejection fraction. n Statins may be considered as a part of management for patients with ischemic HF and age >60 years. Anti-inflammatory therapy for recurrent pericarditis Anti-inflammatory therapy is standard of care for acute and recurrent pericarditis. For most patients, pericarditis of idiopathic or viral cause can be effectively treated with a short course of high-dose nonsteroidal anti- inflammatory drugs with doses tapered as C-reactive protein levels normalize. Based upon the ICAP (Investi- gation on Colchicine for Acute Pericarditis) trial6 where systemic anti-inflammatory therapy reduced recurrent pericarditis by 50%, a 3-month course of daily low-dose colchicine is recommended in current guidelines.107,108 Similarly, the COPPS-2 (Colchicine for Prevention of the Post-Pericardiotomy Syndrome and Post-Operative Atrial Fibrillation) randomized trial of patients undergoing cardiac surgerydemonstrated a reduction in post- operative pericarditis from 29.4% to 19.4% with use of 1 month of low-dose colchicine initiated 48 to 72 hours before surgery.109 Until recently, the only pharmacological option for high-risk patients with persistent and recurrent pericar- ditis was corticosteroids; however, randomized trial data have demonstrated considerable efficacy for IL-1 blockade among selected patients with multiple recur- rent episodes of pericarditis who are resistant to colchi- cine and steroids and who have hsCRP levels >10 mg/L. In the AIRTRIP (Anakinra Treatment of Recurrent Idiopathic Pericarditis) trial of patients with idiopathic corticosteroid-dependent pericarditis and $3 prior re- currences, IL-1 blockade reduced recurrent event rates from 90% to 18%.110 In RHAPSODY (Study to Assess the Efficacy and Safety of Rilonacept Treatment in Partici- pants With Recurrent Pericarditis) patients with $2 epi- sodes of recurrent pericarditis, 6.7% had a recurrence on continuation of rilonacept as compared with a recurrence rate of 74% among those who discontinued therapy.7 In a third small trial, allocation to goflikicept resulted in a 90% reduction in recurrent pericarditis compared with those randomly allocated to drug withdrawal111 (Figure 8). These randomized trial data for the prevention and treatment of recurrent pericarditis demonstrate that targeted anti-inflammatory therapy has a clearly estab- lished role in cardiovascular medicine. It is not recom- mended to use any of these novel therapies in regions where tuberculosis is the most common cause of pericarditis. J A C C V O L . ■ , N O . ■ , 2 0 2 5 Mensah et al ■ , 2 0 2 5 : ■ – ■ Inflammation and Cardiovascular Disease 17 Consensus recommendations: anti-inflammatory therapy for recurrent pericarditis n IL-1 blockade may be considered among select patients with multiple recurrent episodes of colchicine- and steroid-resistant pericarditis, with hsCRP levels >10 mg/L, in the absence of tuberculosis. n Novel anti-inflammatory therapies for recurrent peri- carditis represent an important therapeutic advance for high-risk patients. Evidence gaps and future directions Several recent seminal clinical trials support the recom- mendations summarized in Table 2.2,3 Nevertheless, sig- nificant gaps remain in the evidence needed to fully inform comprehensive detection, evaluation, and clinical man- agement of CVD. The underlying molecular and cellular mechanisms for these findings often remain incompletely elucidated. The interplay between inflammation and key systems, such as the immunomodulatory, neuroendo- crine, cardiometabolic, and vascular endothelial, remain incompletely examined. Several gaps also persist in our understanding of the interactions between inflammation and genetic predisposition, environmental factors, social determinants, and behavioral and lifestyle risks.113 These gaps highlight opportunities for future research. There is a need to explore the comparative effective- ness of alternative inflammatory markers. Rigorous biomarker validation as well as studies eliciting insights on their role in early-stage atherosclerosis, plaque sta- bility and vulnerability, and other manifestation of CVD would be invaluable. Similarly, future proteomics research may hold significant promise for advancing our understanding of how chronic low-grade inflammation contributes to CVD by uncovering novel inflammation- related proteins linked with adiposity and immune dys- regulation.114 Additionally, the development of multi- biomarker panels combining traditional risk factors with novel inflammatory markers could enhance risk predic- tion. Critical insights are also needed in future studies that enhance the ability of imaging modalities, such as coronary computed tomography angiography and optical coherence tomography,115 to characterize the inflamma- tory features of noncalcified coronary plaque in early- stage inflammation with high sensitivity and specificity, and to help identify and quantify subclinical atheroscle- rosis. Similarly, future studies are needed in the assess- ment of the independent predictive value of perivascular fat phenotyping. Another area of increasing research interest in inflammation and CVD is clonal hematopoiesis of inde- terminate potential (CHIP). CHIP has been independently associated with a 2-fold increased risk of CVD in the general population,116 adverse outcomes in patients with established ASCVD,117 >3-fold increased risk of death in ischemic HF,118 and incident cardiovascular events in clinical trial populations.119 Future research on the mo- lecular underpinnings of how CHIP mutations in genes such as Ten-Eleven Translocation-2 (TET2) and DNA methyltransferase 3 alpha (DNMT3A)120 promote chronic low-grade inflammation and which CHIP-specific muta- tions best inform CVD risk stratification and therapeutic strategies would be invaluable. In 1 secondary prevention trial of patients with coronary artery disease and residual inflammatory risk, treatment with canakinumab resulted in a 62% relative risk reduction for major adverse car- diovascular events in individuals carrying TET2 muta- tions compared with those without CHIP.121 In primary and secondary prevention of CVD where the most compelling evidence exists for the role of anti- inflammatory strategies in clinical practice, there remains an important gap in dissemination and imple- mentation research. For example, strategies are needed to boost the sustained uptake of hsCRP measurement in routine clinical practice to identify individuals at increased inflammatory risk. Large, randomized trials are further needed to evaluate the benefit of anti- inflammatory therapies in primary prevention. Other strategies are needed to inform sustained adoption of guideline-directed care that incorporates anti- inflammatory agents in primary and secondary preven- tion. Studies that clarify the best time to initiate anti- inflammatory therapies will be crucial. The role of inflammation in lifestyle and behavioral risks has implications for cardiovascular health promo- tion as well as CVD prevention. Further elucidation of the molecular and cellular pathways linking behavioral and lifestyle factors, including smoking, physical inactivity, and diet, will be needed. For example, exploring the role of diet and the gut microbiome in modulating inflam- mation and determining the optimal exercise regimens for mitigating chronic inflammation in chronic conditions such as obesity and diabetes would be invaluable. Simi- larly, a greater understanding of the mechanisms by which tobacco toxins trigger inflammatory responses in atherogenesis is needed. Another important area of research is the role that novel SPM pathways play in cardioprotection,73 and cor- onary plaque regression.122 There is also increasing in- terest in exploring SPM-based therapeutics in peripheral artery disease (PAD) and other settings of vascular injury.123 One double-blind, randomized, placebo- controlled clinical trial of fish oil supplementation The Effects of Omega-3 Fatty Acids on Peripheral Arterial Disease II (OMEGA-PAD II) demonstrated increased SPM levels following fish oil supplementation in PAD pa- tients.124 However, it remains to be determined whether such increases in SPM levels in patients with PAD lead to Mensah et al J A C C V O L . ■ , N O . ■ , 2 0 2 5 Inflammation and Cardiovascular Disease ■ , 2 0 2 5 : ■ – ■ 18 improved clinical outcomes such as walking distance, ulcer healing, or amputation risk. Whereas the role of inflammation in chronic HF is well recognized, there are no specifically targeted anti- inflammatory or immunomodulatory therapies currently approved for clinical practice. Overcoming this large gap in clinical translation will require more preclinical studies to expand our understanding of the inflammatory and immune basis for HF, as