Microglia as transcriptional pacemakers of neuronal aging heterogeneity across individuals
Abstract
Neuronal aging pace varies markedly between individuals, but what drives this variation remains unknown. Using cell-type-specific transcriptomic clocks applied to single-nucleus RNA sequencing data from 226 adults (ages 20-90), we quantified neuronal aging residuals as a donor- dominant phenotype. Variance decomposition revealed that microglial transcriptional programs predict inter-individual variation in neuronal aging residuals, a directional asymmetry consistent with a non-cell-autonomous relationship between microglial states and neuronal aging trajectories. This asymmetry is accompanied by an age-dependent shift from homeostatic to inflammatory microglial dominance beginning in midlife, with inflammatory dominance probability rising from 26% at age 35 to 92% by age 65, replicated in an independent cohort. IFN{gamma} signaling emerges as the dominant microglial program associated with accelerated neuronal aging in late adulthood. Candidate regulators of microglial IFN{gamma} activity (HIF1A, CEBPB, and EZH2) are computationally prioritized as intervention targets warranting functional validation.
The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.
Research summary
Microglial transcriptional programs predict inter-individual variation in neuronal aging. The study addresses the underlying mechanisms of neuronal aging, focusing on microglial influence, which is pertinent to understanding and potentially mitigating the root causes of aging.
Author of this paper? Send a correction.