Immune-derived cardiac autonomic signatures: predicting autonomic responses to exercise from B-cell phenotypes

免疫衍生的心脏自主神经特征:从B细胞表型预测运动时的自主神经反应

阅读:1

Abstract

OBJECTIVE: Aging affects both immune and autonomic regulation, yet their interaction remains poorly characterized. This study investigated how aging B-cell subpopulations, defined by CD21/CD11c expression, are associated with autonomic nervous system (ANS) dynamics, as measured by heart rate variability (HRV) during exercise in older adults. MATERIALS AND METHODS: In this cross-sectional study, 81 community-dwelling older adults (mean age 70.7 ± 5.8 years) underwent immune flow cytometry profiling of total B cells and four CD21/CD11c phenotypes. Continuous R-R interval (RRi) data were recorded at rest, during a standardized Two-Minute Step Test (TMST), and over a 5-min recovery period. A coupled-logistic RRi-vs-time model capturing each participant's cardiac autonomic signature (CAS) was obtained. Individual parameter estimates were regressed on standardized immune predictors using multivariate Bayesian models adjusted for age, sex and body composition. RESULTS: Higher counts of CD21(+)CD11c(+) B cells were associated with elevated baseline RRi (resting vagal tone), an increased exercise-induced RRi drop, and an incomplete post-exercise recovery. Conversely, greater CD21(-)CD11c(-) B-cell counts were associated with lower resting RRi, a faster sympathetic-driven RRi decrease during exercise, and more complete vagal reactivation during recovery. High posterior probability (>90%) was observed for the aforementioned posterior estimates. CONCLUSION: CD21(+)CD11c(+) and CD21(-)CD11c(-) aging B-cell subsets display opposite associations with ANS responsiveness to acute exercise, suggesting immunosenescence-linked autonomic modulation on the neuro-immune axis. Distinct B-cell phenotypes may serve as biomarkers of resilience or fragility in aging, supporting personalized interventions to optimize cardiovascular health in aging individuals.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。