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Biological Clocks and Seasonal Responses02:45

Biological Clocks and Seasonal Responses

The circadian—or biological—clock is an intrinsic, timekeeping, molecular mechanism that allows plants to coordinate physiological activities over 24-hour cycles called circadian rhythms. Photoperiodism is a collective term for the biological responses of plants to variations in the relative lengths of dark and light periods. The period of light-exposure is called the photoperiod.
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Related Experiment Video

Updated: May 11, 2026

Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

Multimodal clocks of human aging.

Jiaming Li1, Beier Jiang2, Wei Zhang3

  • 1Beijing Key Laboratory of Intelligent Governance and Application of Biological Big Data, China National Center for Bioinformation and Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.

Cell
|May 9, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed a new aging assessment framework using clinical, physiological, and molecular data. This framework identifies age-related changes and reveals coagulation factors as drivers of aging and inflammation.

Keywords:
agingaging clockaging cohortaging driverbiological agecoagulation factormultimodalsystemic agingvascular aging

Related Experiment Videos

Last Updated: May 11, 2026

Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

Area of Science:

  • Gerontology
  • Biomarkers
  • Systems Biology

Background:

  • Human aging involves complex structural and functional decline, presenting challenges in quantifying heterogeneity and biological age.
  • Existing methods for assessing biological age often lack comprehensive data integration and predictive precision.

Purpose of the Study:

  • To develop and validate a novel, multi-tiered aging assessment framework using a large, diverse cohort.
  • To identify molecular drivers of aging and systemic inflammation.
  • To establish new biomarkers for biological age assessment.

Main Methods:

  • Development of the multicentric Chinese aging standardized cohort (mCAS) with 2,019 participants (aged 18-91).
  • Integration of high-dimensional clinical, physiological, and molecular data.
  • Construction of a three-tiered aging framework: core capacity clock (CC-clock), multimodal clock (MM-clock), and organ-associated aging clocks.

Main Results:

  • The developed aging framework effectively quantifies physiological decline and predicts chronological age.
  • Plasma protein clocks serve as accurate proxies for systemic physiological capacity.
  • Identified age-dependent accumulation of coagulation factors as a key driver of multi-organ senescence and systemic inflammation.

Conclusions:

  • The study provides a foundational framework linking molecular signatures to functional decline in aging.
  • New biomarkers for aging assessment were identified, including plasma protein clocks.
  • Age-related coagulation factor accumulation is a novel, translational driver of aging and inflammation.