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Wiley Aging CellAugust 27, 2026 Ruiyi Liu, Jingsong Luo, Yangchang Zhang, Furong Wang, Jing Xu, Wangnan Cao, Shengzhi Sun

Sleep Architecture Predicts Aging Rates Through Immune Dysregulation

Objective sleep measurement reveals distinct patterns associated with aging hallmarks: adequate total sleep, deep sleep, and REM sleep correlate with lower aging risk, while fragmented sleep and irregular timing correlate with higher risk. Shared proteomic signatures indicate immune and metabolic dysfunction as mechanistic links between sleep disruption and accelerated aging.

Key Points

  • Deep sleep and REM sleep associated with lower aging hallmark risk
  • Sleep fragmentation and irregular timing linked to accelerated aging markers
  • Immune and inflammatory proteins mediate sleep-aging relationships

Longevity Analysis

Sleep architecture functions as a measurable biomarker of systemic resilience. The relationship between sleep quality and immune regulation suggests that sleep disruption operates as an accelerant of multiple aging processes simultaneously—not through a single pathway, but through coordinated dysregulation of immune surveillance and metabolic signaling. This identifies sleep pattern optimization as foundational work that precedes or enables other interventions; without addressing the architecture of sleep itself, downstream protocols targeting inflammation or metabolic function may face ceiling effects. The consistency of certain proteins (IL1RN, GDF15, LEP) across multiple sleep-aging associations indicates these may serve as tractable targets for monitoring whether sleep interventions are producing the intended systemic effects.

Defense · Energy Production · Regeneration · Stress Response · ConsciousnessDecode · Gain
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Original published by Wiley Aging Cell, by Ruiyi Liu, Jingsong Luo, Yangchang Zhang, Furong Wang, Jing Xu, Wangnan Cao, Shengzhi Sun .