Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Mitochondria01:37

Mitochondria

10.9K
Mitochondria are eukaryotic cellular organelles that are known to produce energy through a process called oxidative phosphorylation. Besides their primary function, mitochondria are involved in various cellular processes, including cell growth, differentiation, signaling, metabolism, and senescence. Age-related changes cause a decline in mitochondrial quality and integrity due to increased mitochondrial mutations and oxidative damage. Thus, aging can severely impact mitochondrial functions,...
10.9K
Aging01:26

Aging

37
Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...
37
Circadian Rhythms and Gene Regulation02:19

Circadian Rhythms and Gene Regulation

4.0K
The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent...
4.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Metabolomic and lifestyle profiles refine BMI-metabolic phenotypes in older adults.

Cell reports. Medicine·2026
Same author

The Role of Machine Learning and Artificial Intelligence in Drug Discovery and Clinical Care of Pulmonary Hypertension.

Heart failure clinics·2026
Same author

Delphi-derived Framework for Healthspan-Oriented Care: The Cardiometabolic Health Perspective.

Aging and disease·2026
Same author

Efficacy of traditional Chinese exercises on cognitive function in older adults: a systematic review and meta-analysis of randomised controlled trials.

Age and ageing·2026
Same author

Difference between Biological Age and Chronological Age Predicts Mortality and Hospitalization in a Longitudinal Adult Cohort.

Aging and disease·2026
Same author

Questions of the future in aging and longevity research at the GIMM Festival.

Nature aging·2026
Same journal

AARS1 promotes tumor progression and immune evasion via ATF6 lactylation-mediated tryptophan metabolism in hepatocellular carcinoma.

Cell metabolism·2026
Same journal

Reactive species as regulators of immune cell metabolism, tolerance, and autoimmunity.

Cell metabolism·2026
Same journal

The interplay between the microbiome and immune cells in metabolic homeostasis and disease.

Cell metabolism·2026
Same journal

The metabolic basis of regulated cell death.

Cell metabolism·2026
Same journal

Gut microbiota-derived lysine phenylacetylation impairs mitochondrial function and is alleviated by SIRT3.

Cell metabolism·2026
Same journal

Methionine-supplemented longevity diet increases growth hormone, GLP-1, and FGF21; reduces frailty; and promotes healthspan.

Cell metabolism·2026
See all related articles

Related Experiment Video

Updated: Jun 5, 2025

Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine
08:53

Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine

Published on: January 26, 2024

971

Decoding aging clocks: New insights from metabolomics.

Honghao Huang1, Yifan Chen1, Wei Xu1

  • 1Division of Cardiology, State Key Laboratory for Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.

Cell Metabolism
|December 10, 2024
PubMed
Summary
This summary is machine-generated.

Biological aging varies between individuals, impacting disease risk. Metabolomic aging clocks, using small molecule profiles, offer insights into this variation and potential longevity innovations.

Keywords:
aging clocksbiological agechronological agemetabolomics

More Related Videos

Quantitative Metabolomics of Saccharomyces Cerevisiae Using Liquid Chromatography Coupled with Tandem Mass Spectrometry
07:25

Quantitative Metabolomics of Saccharomyces Cerevisiae Using Liquid Chromatography Coupled with Tandem Mass Spectrometry

Published on: January 5, 2021

4.3K
Parallel Measurement of Circadian Clock Gene Expression and Hormone Secretion in Human Primary Cell Cultures
06:53

Parallel Measurement of Circadian Clock Gene Expression and Hormone Secretion in Human Primary Cell Cultures

Published on: November 11, 2016

8.2K

Related Experiment Videos

Last Updated: Jun 5, 2025

Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine
08:53

Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine

Published on: January 26, 2024

971
Quantitative Metabolomics of Saccharomyces Cerevisiae Using Liquid Chromatography Coupled with Tandem Mass Spectrometry
07:25

Quantitative Metabolomics of Saccharomyces Cerevisiae Using Liquid Chromatography Coupled with Tandem Mass Spectrometry

Published on: January 5, 2021

4.3K
Parallel Measurement of Circadian Clock Gene Expression and Hormone Secretion in Human Primary Cell Cultures
06:53

Parallel Measurement of Circadian Clock Gene Expression and Hormone Secretion in Human Primary Cell Cultures

Published on: November 11, 2016

8.2K

Area of Science:

  • Biogerontology
  • Metabolomics
  • Machine Learning

Background:

  • Chronological age is a key risk factor for age-related diseases and disabilities.
  • Individual biological aging rates can differ significantly, leading to varied health risks.
  • Aging clocks, utilizing omics data and machine learning, interpret molecular aging processes.

Purpose of the Study:

  • To review metabolomics approaches for biological aging assessment.
  • To highlight the creation, interpretation, strengths, limitations, and applications of metabolomic aging clocks.
  • To discuss the biological significance of metabolomic aging for longevity research.

Main Methods:

  • Review of existing literature on metabolomics and aging clocks.
  • Analysis of how metabolomic data can be used to build predictive aging models.
  • Examination of machine learning techniques applied to metabolomic datasets for aging estimation.

Main Results:

  • Metabolomics provides a comprehensive readout of genome-environment interactions relevant to aging.
  • Metabolomic aging clocks demonstrate potential in assessing biological age and individual risk profiles.
  • The review synthesizes current knowledge on metabolomic aging clock development and application.

Conclusions:

  • Metabolomic aging clocks are a promising tool for understanding biological aging and personalized risk.
  • Further research into metabolomic aging clocks can drive innovation in longevity and age-related disease prevention.
  • Understanding the biological underpinnings of metabolomic aging is crucial for future therapeutic strategies.