Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 May 23;81(20):1996-2009.
doi: 10.1016/j.jacc.2023.03.401.

Clonal Hematopoiesis of Indeterminate Potential Predicts Adverse Outcomes in Patients With Atherosclerotic Cardiovascular Disease

Affiliations

Clonal Hematopoiesis of Indeterminate Potential Predicts Adverse Outcomes in Patients With Atherosclerotic Cardiovascular Disease

Esra D Gumuser et al. J Am Coll Cardiol. .

Abstract

Background: Clonal hematopoiesis of indeterminate potential (CHIP)-the age-related clonal expansion of blood stem cells with leukemia-associated mutations-is a novel cardiovascular risk factor. Whether CHIP remains prognostic in individuals with established atherosclerotic cardiovascular disease (ASCVD) is less clear.

Objectives: This study tested whether CHIP predicts adverse outcomes in individuals with established ASCVD.

Methods: Individuals aged 40 to 70 years from the UK Biobank with established ASCVD and available whole-exome sequences were analyzed. The primary outcome was a composite of ASCVD events and all-cause mortality. Associations of any CHIP (variant allele fraction ≥2%), large CHIP clones (variant allele fraction ≥10%), and the most commonly mutated driver genes (DNMT3A, TET2, ASXL1, JAK2, PPM1D/TP53 [DNA damage repair genes], and SF3B1/SRSF2/U2AF1 [spliceosome genes]) with incident outcomes were compared using unadjusted and multivariable-adjusted Cox regression.

Results: Of 13,129 individuals (median age: 63 years) included, 665 (5.1%) had CHIP. Over a median follow-up of 10.8 years, any CHIP and large CHIP at baseline were associated with adjusted HRs of 1.23 (95% CI: 1.10-1.38; P < 0.001) and 1.34 (95% CI: 1.17-1.53; P < 0.001), respectively, for the primary outcome. TET2 and spliceosome CHIP, especially large clones, were most strongly associated with adverse outcomes (large TET2 CHIP: HR: 1.89; 95% CI: 1.40-2.55; P <0.001; large spliceosome CHIP: HR: 3.02; 95% CI: 1.95-4.70; P < 0.001).

Conclusions: CHIP is independently associated with adverse outcomes in individuals with established ASCVD, with especially high risks observed in TET2 and SF3B1/SRSF2/U2AF1 CHIP.

Keywords: aging; coronary artery disease; inflammation; prevention; risk factor.

PubMed Disclaimer

Conflict of interest statement

Funding Support and Author Disclosures Mr Schuermans is supported by the Belgian American Educational Foundation. Dr Cho is supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant no.: HI19C1330). Dr Yu is supported by the National Heart, Lung, and Blood Institute (5T32HL007604-37). Dr Weeks is supported by the Robert Wood Johnson Foundation/American Society of Hematology Harold Amos Medical Faculty Development Program, Edward P. Evans Foundation, and Wood Foundation. Dr Niroula is supported by funds from the Knut and Alice Wallenberg Foundation (no. KAW2017.0436). Dr Jaiswal is supported by the Burroughs Wellcome Fund Career Award for Medical Scientists, Fondation Leducq (TNE-18CVD04), the Ludwig Center for Cancer Stem Cell Research at Stanford University, and the National Institute of Health Director's New Innovator Award (DP2-HL157540); and is a founding scientific advisor to and shareholder in TenSixteen Bio. Dr Libby is a founding scientific advisor to TenSixteen Bio; has been an unpaid consultant to or involved in clinical trials for Amgen, AstraZeneca, Baim Institute, Beren Therapeutics, Esperion Therapeutics, Genentech, Kancera, Kowa Pharmaceuticals, Medimmune, Merck, Norvo Nordisk, Novartis, Pfizer, and Sanofi-Regeneron; has been a member of the scientific advisory boards for Amgen, Caristo, Cartesian, CSL Behring, DalCor Pharmaceuticals, Dewpoint, Kowa Pharmaceuticals, Olatec Therapeutics, Medimmune, Novartis, PlaqueTec, and XBiotech Inc; has received research funding in the past 2 years from Novartis; is on the Board of Directors of and has financial interest in XBiotech Inc; and is an inventor on a patent (“Use of canakinumab”) related to this work filed by Brigham and Women’s Hospital (U.S. patent application no. 20200239564, filed 18 August 2020). Dr Ebert is supported by grants from the National Institutes of Health, National Cancer Institute, and National Heart, Lung, and Blood Institute (R01-HL082945 and P01-CA066996), Fondation Leducq (TNE-18CVD04), the EvansMDS Foundation, and the Howard Hughes Medical Institute; has received research funding from Celgene, Deerfield, Novartis, and Calico; has received consulting fees from GRAIL; and has been a member of the scientific advisory board and a shareholder for Neomorph Inc, TenSixteen Bio, Skyhawk Therapeutics, and Exo Therapeutics. Dr Bick has received grants from Burroughs Wellcome Foundation Career Award for Medical Scientists and the National Institute of Health Director's Early Independence Award (DP5-OD029586); and is a founding scientific advisor to and shareholder in TenSixteen Bio. Dr Natarajan has received grants for the Hassenfeld Scholar Award from the Massachusetts General Hospital, the National Heart, Lung, and Blood Institute (R01HL1427, R01HL148565, and R01HL148050), Fondation Leducq (TNE-18CVD04), Amgen, Apple, AstraZeneca, Boston Scientific, and Novartis; has received spousal employment and equity at Vertex; has received consulting fees from Apple, AstraZeneca, Novartis, Genentech/Roche, Blackstone Life Sciences, Foresite Labs, and TenSixteen Bio; and has been a scientific advisor board member and shareholder for TenSixteen Bio and geneXwell (all unrelated to this work). Dr Honigberg is supported by the National Heart, Lung, and Blood Institute (K08HL166687) and the American Heart Association (940166, 979465); has received consulting fees from CRISPR Therapeutics; has been on the advisory board service for Miga Health; and has received grant support from Genentech (all unrelated to this work). All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.

Figures

FIGURE 1
FIGURE 1. Study Flow Chart
This study included UK Biobank (UKB) participants with a diagnosis of atherosclerotic cardiovascular disease (ASCVD) (ie, coronary artery disease, stroke, and/or peripheral artery disease) before enrollment and available whole-exome sequencing from whole blood-derived DNA. Participants with prevalent hematologic malignancy, unknown/missing history of cancer, and missing key covariates were excluded. BMI = body mass index; CHIP = clonal hematopoiesis of indeterminate potential; HDL = high-density lipoprotein.
FIGURE 2
FIGURE 2. Cumulative Incidence of ASCVD Events or Death by CHIP Status
Cumulative incidence plots were constructed using the Kaplan-Meier method and represent (A) the primary outcome of ASCVD events or all-cause mortality, (B) ASCVD events, and (C) all-cause mortality during a median follow-up of 10.8 years (IQR: 10.0 to 11.6 years). The shaded area indicates the 95% CI. Multivariable-adjusted models were adjusted for age at the start of follow-up, age2, sex, race (White vs non-White), Townsend deprivation index, current or former smoking, systolic blood pressure, antihypertensive medication use, total cholesterol, HDL cholesterol, cholesterol-lowering medication use, diabetes status, and BMI. Individuals without CHIP constituted the reference group in all analyses. No corrections for multiple testing were applied. *P<0.05. **P<0.01. ***P<0.001. Ref = reference; VAF = variant allele fraction; other abbreviations as in Figure 1.
FIGURE 3
FIGURE 3. Cumulative Incidence of Cardiovascular and Cancer Mortality by CHIP Status
Cumulative incidence plots were constructed using the Kaplan-Meier method and represent (A) cardiovascular mortality and (B) cancer mortality. See Figure 2 legend for details on the cumulative incidence plots and multivariable-adjusted models used. No corrections for multiple testing were applied. *P<0.05. **P<0.01. ***P<0.001. Abbreviations as in Figures 1 and 2.
FIGURE 4
FIGURE 4. Associations of CHIP Subtypes With Incident ASCVD or Death
See Figure 2 legend for details on the multivariable-adjusted models used. No corrections for multiple testing were applied. Abbreviations as in Figures 1 and 2.
FIGURE 5
FIGURE 5. Distribution of hsCRP and NLR by CHIP Driver Gene
Violin plots show the distribution of high-sensitivity C-reactive protein (hsCRP) levels and neutrophil-to-leukocyte ratio (NLR) by CHIP driver mutation. The plots represent all (A) hsCRP and (B) NLR values between 0-11.10 mg/L and 0-8, corresponding to 95% and 99% of all measurements, respectively. The upper and lower bounds of the white boxes represent the IQR, whereas the horizontal line in the box represents the median. P values represent comparisons of gene-specific CHIP subtypes vs no CHIP using the Wilcoxon rank-sum test. hsCRP and NLR values were available for n = 13,088 and n = 12,812, respectively. No corrections for multiple testing were applied.
CENTRAL ILLUSTRATION
CENTRAL ILLUSTRATION. Clonal Hematopoiesis of Indeterminate Potential Predicts Adverse Outcomes in Patients With Established Atherosclerotic Cardiovascular Disease
Among participants with established atherosclerotic cardiovascular disease (ASCVD), clonal hematopoiesis of indeterminate potential (CHIP) was associated with higher incidence of ASCVD events and all-cause mortality vs those without CHIP, with the highest incidence observed for those carrying large clones. The highest risk was observed in participants with driver mutations in TET2 or spliceosome genes (ie, SF3B1, SRSF2, and U2AF1). VAF = variant allele fraction.

Comment in

References

    1. Roth GA, Mensah GA, Johnson CO, et al. Global burden of cardiovascular diseases and risk factors, 1990-2019: update from the GBD 2019 study. J Am Coll Cardiol. 2020;76:2982–3021. - PMC - PubMed
    1. Karmali KN, Goff DC, Ning H, Lloyd-Jones DM. A systematic examination of the 2013 ACC/AHA pooled cohort risk assessment tool for atherosclerotic cardiovascular disease. J Am Coll Cardiol. 2014;64:959–968. - PubMed
    1. North BJ, Sinclair DA. The intersection between aging and cardiovascular disease. Circ Res. 2012;110:1097–1108. - PMC - PubMed
    1. Jaiswal S, Ebert BL. Clonal hematopoiesis in human aging and disease. Science. 2019;366. - PMC - PubMed
    1. Jaiswal S, Fontanillas P, Flannick J, et al. Age-related clonal hematopoiesis associated with adverse outcomes. N Engl J Med. 2014;371:2488–2498. - PMC - PubMed

Publication types

Substances