Biomedical subjects

Peter Libby

Publications and source records attributed to Peter Libby.

3 recordsLinked to original sources

PubMed2026

Machine learning-driven spleen imaging and genomics uncover a splenic connection to coronary artery disease.

Despite advances in managing traditional risk factors, coronary artery disease (CAD) remains the leading cause of mortality. Circulating hematopoietic cells influence risk for CAD separately from traditional risk factors, but the role of a key regulating organ, the spleen, is unknown. The understudied spleen is a representation of the hematopoietic system optimally suited for unbiased radiologic investigations toward mechanistic insights. Here, we leveraged deep learning to extract 107 splenic radiomic features from abdominal magnetic resonance imaging (MRI) scans of 42,059 UK Biobank participants and of 2745 Mass General Brigham Biobank (MGBB) participants. Of these, 10 features from UK Biobank were associated with CAD. Genome-wide association analysis of CAD-associated features identified 219 loci, including 9p21. Variants at 9p21, the strongest yet mechanistically elusive CAD locus, were associated with splenic features such as run-length nonuniformity, reflecting heterogeneity of continuous texture regions. Research MRI findings were consistent internally, but external clinical validation highlighted challenges in translating analyses of abdominal MRI scans to routine clinical practice because of variability in imaging protocols and greater clinical heterogeneity among patients. Our study, combining deep learning with genomics, presents a framework to uncover potential splenic involvement in CAD and emphasizes translational gaps between research and clinical radiomics.

Humans↗

PubMed2026

Clonal Hematopoiesis and Incident Heart Failure.

IMPORTANCE: Clonal hematopoiesis of indeterminate potential (CHIP), the age-related clonal expansion of hematopoietic cells with acquired preleukemic variants, has been associated with cardiometabolic diseases, including heart failure (HF). However, prior studies have lacked power to examine less common CHIP driver variants and have not investigated potential mediators of the CHIP-HF association. OBJECTIVE: To test whether specific CHIP subtypes are associated with incident HF and determine the extent to which CHIP-associated comorbidities mediate this association. DESIGN, SETTING, AND PARTICIPANTS: This was a UK Biobank prospective population-based cohort study of community-dwelling adults in the UK, with enrollment from 2006 to 2010 and follow-up through 2020. Included were participants with whole-exome sequencing (WES) and without prevalent HF, hematologic malignancy, or other CHIP-associated comorbidities (coronary artery disease [CAD], atrial fibrillation [AF], type 2 diabetes [T2D], or chronic kidney disease [CKD]) at baseline. Study data were analyzed from April through October 2025. EXPOSURES: Presence of CHIP and gene-specific CHIP subtypes (DNMT3A, non-DNMT3A, TET2, ASXL1, JAK2, DNA damage repair genes, and spliceosome genes). Mediation analyses examined CHIP-associated comorbidities (CAD, AF, T2D, and CKD). MAIN OUTCOMES AND MEASURES: The primary outcome was incident HF. Cox regression tested associations of CHIP and CHIP subtypes with incident HF, adjusted for age, sex, race, and cardiovascular risk factors. RESULTS: Among 417 616 participants (mean [SD] age, 56.1 [8.1] years; 234 868 female [56.2%]), 7183 (1.7%) developed incident HF over a median (IQR) of 11.1 (10.4-11.8) years of follow-up. CHIP was associated with HF risk (adjusted hazard ratio [aHR], 1.27; 95% CI, 1.15-1.40; P < .001), driven by non-DNMT3A subtypes (aHR, 1.52; 95% CI, 1.33-1.75; P < .001), including associations with TET2, ASXL1, JAK2, and spliceosome CHIP. DNMT3A CHIP was more modestly associated with HF (aHR, 1.15; 95% CI, 1.00-1.31; P = .04). In mediation analyses, development of CAD, AF, T2D, and/or CKD collectively accounted for 28.2% of the association (95% CI, 11.6%-45.4%; P = .001) between non-DNMT3A CHIP and HF. CONCLUSIONS AND RELEVANCE: Results of this cohort study suggest that CHIP, especially non-DNMT3A CHIP, was associated with incident HF. Other CHIP-associated comorbidities explained only a minority of the association between non-DNMT3A CHIP and HF. These findings suggest that CHIP is an HF risk factor and potential therapeutic target.

Adult↗

PubMed2025

Clonal Hematopoiesis and Risk of New-Onset Myocarditis and Pericarditis.

IMPORTANCE: Clonal hematopoiesis of indeterminate potential (CHIP) is the age-related clonal expansion of hematopoietic stem cells with leukemia-associated mutations. Certain CHIP mutations promote atherosclerosis and heart failure through immune-related pathways. OBJECTIVE: To test whether CHIP is associated with the development of myocarditis and pericarditis. DESIGN, SETTING, AND PARTICIPANTS: This observational population-based cohort study used data from the UK Biobank. Enrollment occurred between 2006 and 2010. Participants with whole-exome sequencing, no prevalent cardiovascular disease or hematological malignancy, and complete covariate data were included. Follow-up occurred for a median of 13.6 (IQR, 12.8-14.2) years. Analyses were conducted from November 2024 to July 2025. EXPOSURES: Any CHIP (variant allele frequency [VAF] ≥2%) and large CHIP (VAF ≥10%) constituted coprimary study exposures. Secondary analyses considered DNMT3A and TET2 CHIP as separate exposures. MAIN OUTCOMES AND MEASURES: The primary outcome was a composite of incident myocarditis and pericarditis. Cox regression tested associations of CHIP with myocarditis and pericarditis, adjusting for age, sex, race and ancestry, and cardiovascular risk factors. Secondary analyses considered myocarditis and pericarditis as separate outcomes. Additional analyses compared associations of CHIP with myocarditis and pericarditis with those with other cardiovascular diseases, and tested the bidirectional associations between CHIP and noncardiac immune-mediated inflammatory diseases. RESULTS: Among 335 426 participants (mean age, 56.1 years; 185 429 female [55.3%] and 149 997 male [44.7%]), 11 057 had any CHIP (3.3%), 7271 had large CHIP (2.2%), and 382 developed myocarditis or pericarditis (0.11%). Any and large CHIP were associated with multivariable-adjusted hazard ratios of 1.75 (95% CI, 1.14-2.68; P = .01) and 2.07 (95% CI, 1.28-3.33; P = .003), respectively, for the primary composite outcome of incident myocarditis and pericarditis. Increased risks were observed for DNMT3A and TET2 CHIP, with hazard ratios of 2.22 (95% CI, 1.17-4.21; P = .01) for DNMT3A with pericarditis and 3.65 (95% CI, 1.16-11.49; P = .03) for TET2 with myocarditis. CHIP associated with myocarditis and pericarditis more strongly than with other cardiovascular diseases (eg, coronary artery disease and heart failure). Any CHIP was also associated with 1.27-fold risk (95% CI, 1.16-1.39; P < .001) of developing noncardiac immune-mediated inflammatory diseases, without evidence for reverse causation. CONCLUSIONS AND RELEVANCE: In this study, CHIP was a strong risk factor for myocarditis and pericarditis among middle-aged adults. Targeting CHIP and its downstream pathways may represent a strategy for preventing or treating pericarditis and myocarditis.

Adult↗