Hoogeveen, Ron Cornelis

Abstract Background Relationships of midlife inflammation with late‐life mobility and influences of chronic health conditions, race, and social determinants of health (SDoH) on these relationships are poorly understood. Methods Among 4758 community‐dwelling participants (41% men, 20% Black), high‐sensitivity C‐reactive protein (hsCRP) was measured over 20+ years: in midlife at study visit 2 (V2: 1990–1992, 47–68 years); at V4 (1996–1998, 53–74 years); and with concurrent late‐life 4‐m gait speed at V5 (2011–2013, 67‐88 years, mean 75 years). SDoH measures included race, the national‐rank area deprivation index, education, and income. We examined associations of late‐life gait speed with midlife hsCRP (V2 continuous and clinically high ≥3 mg/L), with 20‐year hsCRP history from midlife (V2–V5 average continuous hsCRP and clinically high ≥3 mg/L) and with inflammation accumulation (visits and years with high hsCRP). Regression models adjusted for demographic, cardiovascular, and SDoH measures; effect modification by the presence of other common chronic conditions (obesity, diabetes, hypertension) and race were examined, with and without accounting for SDoH. Results High midlife hsCRP was associated with slower late‐life gait speed, even among those without chronic conditions in midlife: −4.6 cm/s (95% CI: −6.4, −2.8). Importantly, sustained high hsCRP was associated with a 20‐year slowing of −10.0 cm/s (−14.9, −5.1) among those who never experienced obesity, diabetes, or hypertension over the 20‐year period. Associations were similar between Black participants, −3.8 cm/s (−6.9, −0.7) and White participants −3.3 (−4.5, −2.2) per interquartile range of midlife hsCRP; effect modifications by chronic conditions and race were unsupported throughout. Results were robust to accounting for SDoH or otherwise; however, worse SDoH was associated with higher inflammation and slower gait speed in both Black and White participants. Conclusions Inflammation in midlife may contribute to clinically meaningful late‐life slowing of gait speed, even among otherwise healthy‐appearing adults and regardless of race and socioeconomic disadvantage. Regular monitoring and interventions for inflammation may be warranted from midlife.

ImportanceClonal hematopoiesis of indeterminate potential (CHIP) may contribute to the risk of atrial fibrillation (AF) through its association with inflammation and cardiac remodeling.ObjectiveTo determine whether CHIP was associated with AF, inflammatory and cardiac biomarkers, and cardiac structural changes.Design, Setting, and ParticipantsThis was a population-based, prospective cohort study in participants of the Atherosclerosis Risk in Communities (ARIC) study and UK Biobank (UKB) cohort. Samples were collected and echocardiography was performed from 2011 to 2013 in the ARIC cohort, and samples were collected from 2006 to 2010 in the UKB cohort. Included in this study were adults without hematologic malignancies, mitral valve stenosis, or previous mitral valve procedure from both the ARIC and UKB cohorts; additionally, participants without hypertrophic cardiomyopathy and congenital heart disease from the UKB cohort were also included. Data analysis was completed in 2023.ExposuresCHIP (variant allele frequency [VAF] ≥2%), common gene-specific CHIP subtypes (DNMT3A, TET2, ASXL1), large CHIP (VAF ≥10%), inflammatory and cardiac biomarkers (high-sensitivity C-reactive protein, interleukin 6 [IL-6], IL-18, high-sensitivity troponin T [hs-TnT] and hs-TnI, N-terminal pro–B-type natriuretic peptide), and echocardiographic indices.Main Outcome MeasureIncident AF.ResultsA total of 199 982 adults were included in this study. In ARIC participants (4131 [2.1%]; mean [SD] age, 76 [5] years; 2449 female [59%]; 1682 male [41%]; 935 Black [23%] and 3196 White [77%]), 1019 had any CHIP (24.7%), and 478 had large CHIP (11.6%). In UKB participants (195 851 [97.9%]; mean [SD] age, 56 [8] years; 108 370 female [55%]; 87 481 male [45%]; 3154 Black [2%], 183 747 White [94%], and 7971 other race [4%]), 11 328 had any CHIP (5.8%), and 5189 had large CHIP (2.6%). ARIC participants were followed up for a median (IQR) period of 7.0 (5.3-7.7) years, and UKB participants were followed up for a median (IQR) period of 12.2 (11.3-13.0) years. Meta-analyzed hazard ratios for AF were 1.12 (95% CI, 1.01-1.25; P = .04) for participants with vs without large CHIP, 1.29 (95% CI, 1.05-1.59; P = .02) for those with vs without large TET2 CHIP (seen in 1340 of 197 209 [0.67%]), and 1.45 (95% CI, 1.02-2.07; P = .04) for those with vs without large ASXL1 CHIP (seen in 314 of 197 209 [0.16%]). Large TET2 CHIP was associated with higher IL-6 levels. Additionally, large ASXL1 was associated with higher hs-TnT level and increased left ventricular mass index.Conclusions and RelevanceLarge TET2 and ASXL1, but not DNMT3A, CHIP was associated with higher IL-6 level, indices of cardiac remodeling, and increased risk for AF. Future research is needed to elaborate on the mechanisms driving the associations and to investigate potential interventions to reduce the risk.

Introduction: Aging and inflammation are associated with risk of atrial fibrillation (AF), to which clonal hematopoiesis of indeterminate potential (CHIP) may contribute. We investigated whether CHIP was associated with AF, inflammatory and cardiac biomarkers and cardiac structural changes. Methods: We ascertained CHIP (variant allele frequency, VAF ≥2%) in the Atherosclerosis Risk in Community Study (ARIC visit-5, n = 4,131) and the UK Biobank (UKBB, n = 195,851) participants. Using multivariable Cox regression models, we studied the association of CHIP and the top three implicated genes (i.e., DNMT3A , TET2 , ASXL1 ) with incident AF and conducted a meta-analysis on both cohorts. We also ascertained high-sensitivity C-reactive protein (hs-CRP), interleukin 6 (IL6), IL18, high-sensitivity troponin T and I (hs-TnT and hs-TnI), NT-proBNP, and echocardiography indices in ARIC. We first standardized the natural log of all markers (st-ln) and used the adjusted quantile regression to compare the median in those with and without CHIP. Results: In ARIC, the mean ± SD age was 75.8 ± 5.2 years, 41% were men, 23% were Black, 25% had CHIP, and 11.6% had large CHIP (VAF ≥10%). These measures in UKBB were 56.4 ± 8.1 years, 45%, 2%, 5.8%, and 2.6%, respectively. In the meta-analysis, compared to those without CHIP, the hazard ratios (95% confidence interval) for AF were 1.12 (1.01 - 1.25, P =0.035), 1.31 (1.07 - 1.60, P =0.009), and 1.48 (1.05 - 2.08, P =0.026) for Large-CHIP, Large- TET2, and Large- ASXL1 , respectively. hs-CRP and IL18 levels were similar in those with and without CHIP as well as gene-specific subgroups. Large- TET2 and ASXL1 were associated with higher IL6, which was separately associated with AF. Additionally, Large- ASXL1 was associated with increased left ventricle mass index and NT-proBNP (coefficients in Figure 1 ). Conclusion: Large TET2 and ASXL1 but not DNMT3A CHIP is associated with higher IL6 levels, indices of cardiac remodeling, and an increased risk of AF.

Background: Cerebrovascular disease is often the consequence of cardiac disease. Our aim was to examine associations of biomarkers of cardiovascular disease, high sensitivity troponin T (hs-cTnT), NT-proBNP, and galectin-3, with cerebrovascular signs: lacunar infarcts, lobar and subcortical microhemorrhages, cortical infarcts, and white matter hyperintensity (WMH) volume. We also examined total cortical and Alzheimer’s Disease (AD) signature region volumes. Methods: We conducted a cross-sectional analysis of 1748 ARIC participants from the 2011-2013 exam who had biomarker measurements, completed a brain MRI, and did not have a clinical history of stroke. We used linear regression to model brain volumes, modeled as Z scores, and logistic regression for all other outcomes; biomarkers were log transformed. We repeated analyses excluding persons with coronary heart disease, atrial fibrillation, and heart failure. Results: The mean age of participants was 76, 62% were female, and 21% were Black. All biomarkers were associated with total cortical volume. Each standard deviation increase in log hs-cTnT was associated with lower total cortical volume (adjusted beta = -0.08, 95% CI: -0.12, -0.05); results for the other biomarkers were similar (Figure). All biomarkers were associated with lobar microhemorrhages. Hs-cTnT and NT-proBNP were associated with WMH volume, but galectin-3 was not. No biomarker was associated with subcortical microhemorrhages or cortical infarcts. Results were similar in persons without coronary heart disease, atrial fibrillation, or heart failure (conditions associated with cerebral thromboembolism). Conclusions: In persons free of clinical cardiovascular disease, biomarkers of cardiac stretch, strain, and fibrosis were associated cerebral small vessel disease and reduced cortical volume, but not in a specific pattern suggestive of AD pathogenesis. This suggests subclinical vascular insults affect brain structure through mixed pathogenic processes.

OBJECTIVES Cardiac troponin T, measured using a high‐sensitive assay (hs‐cTnT), and N‐terminal pro‐B‐type natriuretic peptide (NT‐proBNP) are associated with increased stroke risk and perhaps with cognitive decline. However, few well‐designed prospective studies with extended follow‐up have been conducted. We aimed to estimate the association of hs‐cTnT and NT‐proBNP with 15‐year cognitive change in the Atherosclerosis Risk in Communities (ARIC) study. DESIGN Prospective cohort study. SETTING Four US communities. PARTICIPANTS A total of 9114 and 9108 participants from the Atherosclerosis Risk in Communities study for analyses of hs‐cTnT and NT‐proBNP, respectively. MEASUREMENTS We examined association of hs‐cTnT and NT‐proBNP with 15‐year change (1996‐1998 to 2011‐2013) in three cognitive tests of executive function (Digit Symbol Substitution Test), verbal learning memory (Delayed Word Recall Test), and semantic fluency (Word Fluency Test), and an overall score combining the three tests using multivariable linear mixed effect models. We conducted several sensitivity analyses including multiple imputations to address bias due to missing data and attrition, and we compared associations within groups combining hs‐cTnT and NT‐proBNP into a three‐level categorical variable. RESULTS At baseline (1996‐1998), mean age was 63.4 (standard deviation [SD] = 5.7) years; 56.4% were women, and 17.5% were black. The hs‐cTnT at baseline was not associated with cognitive change in any measure. Some evidence indicated accelerated decline in verbal learning and memory when comparing those in the highest with the lowest NT‐proBNP quintiles; however, this association was not replicated when considering clinically relevant cutoffs or deciles of exposure in survivors. Sensitivity analyses were consistent with our primary analyses. There was little evidence to support effect modification by any considered factors. People with highest levels of both biomarkers had excessive decline in global z scores vs people with lowest levels (−.34; 95% confidence interval = −.63 to −.04). CONCLUSION Markers of myocardial injury and stretch were not associated with cognitive decline following 15 years among survivors, but when combined together they were suggestive in post hoc analysis. Whether this represents targets of intervention should be examined in the future. J Am Geriatr Soc 67:2353–2361, 2019