Search

Few studies have demonstrated reproducible gene-diet interactions (GDIs) impacting metabolic disease risk factors, likely due in part to measurement error in dietary intake estimation and insufficient capture of rare genetic variation. We aimed to identify GDIs across the genetic frequency spectrum impacting the macronutrient-glycemia relationship in genetically and culturally diverse cohorts. We analyzed 33,187 participants free of diabetes from 10 National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine program cohorts with whole-genome sequencing, self-reported diet, and glycemic trait data. We fit cohort-specific, multivariable-adjusted linear mixed models for the effect of diet, modeled as an isocaloric substitution of carbohydrate for fat, and its interactions with common and rare variants genome-wide. In main effect meta-analyses, participants consuming more carbohydrate had modestly lower glycemic trait values (e.g., for glycated hemoglobin [HbA1c], -0.013% HbA1c/250 kcal substitution). In GDI meta-analyses, a common African ancestry-enriched variant (rs79762542) reached study-wide significance and replicated in the UK Biobank cohort, indicating a negative carbohydrate-HbA1c association among major allele homozygotes only. Simulations revealed that >150,000 samples may be necessary to identify similar macronutrient GDIs under realistic assumptions about effect size and measurement error. These results generate hypotheses for further exploration of modifiable metabolic disease risk in additional cohorts with African ancestry.Article highlightsWe aimed to identify genetic modifiers of the dietary macronutrient-glycemia relationship using whole-genome sequence data from 10 Trans-Omics for Precision Medicine program cohorts. Substitution models indicated a modest reduction in glycemia associated with an increase in dietary carbohydrate at the expense of fat. Genome-wide interaction analysis identified one African ancestry-enriched variant near the FRAS1 gene that may interact with macronutrient intake to influence hemoglobin A1c. Simulation-based power calculations accounting for measurement error suggested that substantially larger sample sizes may be necessary to discover further gene-macronutrient interactions.

The genetic determinants of fasting glucose (FG) and fasting insulin (FI) have been studied mostly through genome arrays, resulting in over 100 associated variants. We extended this work with high-coverage whole genome sequencing analyses from fifteen cohorts in NHLBI's Trans-Omics for Precision Medicine (TOPMed) program. Over 23,000 non-diabetic individuals from five race-ethnicities/populations (African, Asian, European, Hispanic and Samoan) were included. Eight variants were significantly associated with FG or FI across previously identified regions MTNR1B, G6PC2, GCK, GCKR and FOXA2. We additionally characterize suggestive associations with FG or FI near previously identified SLC30A8, TCF7L2, and ADCY5 regions as well as APOB, PTPRT, and ROBO1. Functional annotation resources including the Diabetes Epigenome Atlas were compiled for each signal (chromatin states, annotation principal components, and others) to elucidate variant-to-function hypotheses. We provide a catalog of nucleotide-resolution genomic variation spanning intergenic and intronic regions creating a foundation for future sequencing-based investigations of glycemic traits.

The accumulation of excess fat in the liver (hepatic steatosis) in the absence of heavy alcohol consumption causes nonalcoholic fatty liver disease (NAFLD), which has become a global epidemic. Identifying metabolic risk factors that interact with the genetic risk of NAFLD is important for reducing disease burden. We tested whether serum glucose, insulin, insulin resistance, triglyceride (TG), low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, body mass index (BMI), and waist-to-hip ratio adjusted for BMI interact with genetic variants in or near the patatin-like phospholipase domain containing 3 (PNPLA3) gene, the glucokinase regulatory protein (GCKR) gene, the neurocan/transmembrane 6 superfamily member 2 (NCAN/TM6SF2) gene, and the lysophospholipase-like 1 (LYPLAL1) gene to exacerbate hepatic steatosis, estimated by liver attenuation. We performed association analyses in 10 population-based cohorts separately and then meta-analyzed results in up to 14,751 individuals (11,870 of European ancestry and 2,881 of African ancestry). We found that PNPLA3-rs738409 significantly interacted with insulin, insulin resistance, BMI, glucose, and TG to increase hepatic steatosis in nondiabetic individuals carrying the G allele. Additionally, GCKR-rs780094 significantly interacted with insulin, insulin resistance, and TG. Conditional analyses using the two largest European ancestry cohorts in the study showed that insulin levels accounted for most of the interaction of PNPLA3-rs738409 with BMI, glucose, and TG in nondiabetic individuals. Insulin, PNPLA3-rs738409, and their interaction accounted for at least 8% of the variance in hepatic steatosis in these two cohorts. Conclusion: Insulin resistance, either directly or through the resultant elevated insulin levels, more than other metabolic traits, appears to amplify the PNPLA3-rs738409-G genetic risk for hepatic steatosis. Improving insulin resistance in nondiabetic individuals carrying PNPLA3-rs738409-G may preferentially decrease hepatic steatosis.

We sought to report the distribution of Lp(a) levels in the Mediators of Atherosclerosis among South Asians Living in America cohort of participants who were free from clinical atherosclerotic cardiovascular disease (ASCVD) at baseline and to evaluate the cross-sectional association with atherosclerosis measured by coronary artery calcification (CAC) and carotid intima media thickness. Among 886 participants (mean [SD] age: 55.4 [9.4] years, 54% male), median lipoprotein (a) level was 17 (9, 33) mg/dl. Compared with the lowest quartile (9 mg/dl), subjects in the highest Lp(a) quartile (33 to 178 mg/dl) were more likely to be women (51% vs 37%, p

BACKGROUND: Caregivers of patients with advanced heart failure may experience burden in providing care, but whether changes in patient health status are associated with caregiver burden is unknown. This observational study included older patients (60-80 years old) receiving advanced surgical heart failure therapies and their caregivers at 13 US sites. Patient health status was assessed using the 12-item Kansas City Cardiomyopathy Questionnaire (range, 0-100; higher scores are better). Caregiver burden was assessed using the Oberst Caregiving Burden Scale, which measures time on task (OCBS-time) and task difficulty (OCBS-difficulty; range, 1-5; lower scores are better). Measurements occurred before surgery and 12 months after in 3 advanced heart failure cohorts: patients receiving longterm left ventricular assist device support; heart transplantation with pretransplant left ventricular assist device support; and heart transplantation without pretransplant left ventricular assist device support. Multivariable linear regression was used to identify predictors of change in OCBS-time and OCBS-difficulty at 12 months. RESULTS: Of 162 caregivers, the mean age was 61.0±9.4 years, 139 (86%) were female, and 140 (86%) were the patient's spouse. At 12 months, 99 (61.1%) caregivers experienced improved OCBS-time, and 61 (37.7%) experienced improved OCBS-difficulty (versus no change or worse OCBS). A 10-point higher baseline 12-item Kansas City Cardiomyopathy Questionnaire predicted lower 12-month OCBS-time (ß=-0.09 [95% CI, -0.14 to -0.03]; P<0.001) and OCBS-difficulty (ß=-0.08 [95% CI, -0.12 to -0.05]; P<0.001). Each 10-point improvement in the 12-item Kansas City Cardiomyopathy Questionnaire predicted lower 12-month OCBS-time (ß=-0.07 [95% CI, -0.12 to -0.03]; P=0.002) and OCBS-difficulty (ß=-0.09 [95% CI, -0.12 to -0.06]; P<0.001). CONCLUSIONS:' Among survivors at 12 months, baseline and change in patient health status were associated with subsequent caregiver time on task and task difficulty in dyads receiving advanced heart failure surgical therapies, highlighting the potential for serial 12-item Kansas City Cardiomyopathy Questionnaire assessments to identify caregivers at risk of increased burden. [ABSTRACT FROM AUTHOR]

BackgroundMultiple genetic loci are associated with clinical cardiovascular (CV) disease and individual CV risk factors. Individuals with ideal levels of all major CV risk factors have very low risk for CV disease morbidity or mortality. Ideal levels of risk factors can be attained by lifestyle modifications; however, little is known about gene variants associated with ideal CV health. Our objective was to carry out a genome-wide association study on the trait.Methods and resultsWe examined 2 dichotomous phenotypes of ideal CV health-clinical (untreated cholesterol

Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4%) with lower FG (β=-0.09±0.01 mmol l(-1), P=3.4 × 10(-12)), T2D risk (OR[95%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07±0.035 pmolinsulin mmolglucose(-1), P=0.048), but higher 2-h glucose (β=0.16±0.05 mmol l(-1), P=4.3 × 10(-4)). We identify a gene-based association with FG at G6PC2 (pSKAT=6.8 × 10(-6)) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02±0.004 mmol l(-1), P=1.3 × 10(-8)). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.

For ibrutinib-related atrial fibrillation (IRAF), guidelines for anticoagulation do not exist. We sought to describe stroke, bleeding, and anticoagulation rates among patients with IRAF. We performed a single-center retrospective review of 168 patients treated with ibrutinib followed from 2013 to 2022. Over a median follow-up of 6.4 years, 44 (26.0%) patients developed IRAF of which 38 (86.4%) had a CHA2DS2-VASc ≥2 and 7 (15.9%) had a HAS-BLED ≥3. Anticoagulation was initiated in 20 (45.5%) without a clear pattern in scores, risk factors, or cumulative dose, besides having another reason for anticoagulation. Few patients with IRAF developed non-hemorrhagic CVA (n = 3, 6.8%) or significant bleeding (n = 3, 6.8%). Among those with each adverse outcome, 2 in each group were anticoagulated and all were older than 65 years old. In conclusion, decisions for anticoagulation vary widely and patients who are elderly or with HTN may be most at risk for CVA or significant bleed. [ABSTRACT FROM AUTHOR]

Background: Cardiovascular events, including heart failure and arrhythmias, following chimeric antigen receptor (CAR) T‐cell therapy are increasingly recognized. Although global longitudinal strain (GLS) has demonstrated prognostic utility for other cancer therapy‐related cardiac dysfunction, less is known regarding the association of GLS with adverse cardiac events following CAR T‐cell therapy. Objectives: To determine the association of baseline GLS with adverse cardiovascular events in adults receiving CAR‐T cell therapy. Methods: Patients who had an echocardiogram within 6 months prior to receiving CAR T‐cell therapy were retrospectively identified. Clinical data and cardiac events were collected via chart review. Echocardiograms were analyzed offline for GLS, left ventricular ejection fraction, and Doppler parameters. Multivariable logistic regression was used to determine the association between adverse cardiovascular events and echocardiographic parameters. Results: Among 75 CAR T‐cell therapy patients (mean age 63.9, 34.7% female), nine patients (12%) experienced cardiac events (CEs) including cardiovascular death, new/worsening heart failure, and new/worsening arrhythmia within 1 year of treatment. In univariable models, higher baseline GLS (OR 0.78 [0.63, 0.96], p =.021) was associated with a lower risk of CE and higher baseline mitral E/e' (OR 1.40 [1.08, 1.81], p =.012) was associated with a higher risk of CE. After adjusting for age and LDH, higher baseline GLS (OR 0.65 [0.48–0.88], p = <.01) was associated with a lower risk of CE and higher baseline mitral E/e' (OR 1.56 [1.06, 2.29], p =.024) was associated with a higher risk of CE. Conclusion: Lower GLS and higher mitral E/e' on a baseline echocardiogram were associated with higher risk for CEs in patients receiving CAR T‐cell therapy. [ABSTRACT FROM AUTHOR]