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

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
The Effect of Aging on Tissues01:19

The Effect of Aging on Tissues

2.1K
Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...
2.1K
Mitochondria01:37

Mitochondria

10.7K
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,...
10.7K
Bone Disorders01:29

Bone Disorders

3.4K
Aging and its effect on bone remodeling is the most common cause of bone disorders. In young and healthy people, bone deposition and resorption happen at an equal rate to maintain optimal bone health.
Bone deposition is also affected by the levels of sex hormones like estrogen and testosterone that promote osteoblast activity and bone matrix synthesis. When the level of these hormones decreases due to aging, it causes a reduction in bone deposition. As a result, bone resorption by osteoclasts...
3.4K

You might also read

Related Articles

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

Sort by
Same author

[Analysis of clinical characteristics and disease spectrum trend of children in short stature outpatient clinic of a tertiary hospital in Beijing in different years].

Zhonghua yi xue za zhi·2026
Same author

[MRI-based deep learning model for preoperative prediction of urothelial carcinoma with variant histology of bladder: a retrospective, multicenter study].

Zhonghua wai ke za zhi [Chinese journal of surgery]·2026
Same author

[A prospective cohort and Mendelian randomization study of association of snoring and adiposity with chronic obstructive pulmonary disease].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
Same author

[Associations of waist-to-hip ratio with mortality in older adults in 10 areas of China].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
Same author

[Association of non-invasive atherosclerotic indicators with cardiovascular disease risk in adults in 10 areas of China].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
Same author

[Observational and genetic epidemiological study on the association of alcohol consumption and chronic obstructive pulmonary disease in adults in 10 areas of China].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
Same journal

[Research progress on the impact of the digital information environment on the health of children and adolescents].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
Same journal

[Exploration and practice of ideological and political education integration in the "One Core, Two Integrations" curriculum model for epidemiology].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
Same journal

[Progress in research of visualization of ideology and politics elements in curriculum and its importance for <i>Epidemiology</i> curriculum].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
Same journal

[Operation of WeChat official accounts of <i>Chinese Journal of Epidemiology</i>].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
Same journal

[Study on the risk factors of development for mild cognitive impairment to Alzheimer's disease based on the competitive risk joint model].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
Same journal

[Mendelian randomization study on related factors for esophageal adenocarcinoma and Barrett's esophagus].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
See all related articles

Related Experiment Video

Updated: Jun 5, 2025

Surveying Low-Cost Methods to Measure Lifespan and Healthspan in Caenorhabditis elegans
10:08

Surveying Low-Cost Methods to Measure Lifespan and Healthspan in Caenorhabditis elegans

Published on: May 18, 2022

3.3K

[Recent advances in organ-system-specific biological age].

S Y Song1, Z Y Wu1, D J Y Sun2

  • 1Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing100191, China.

Zhonghua Liu Xing Bing Xue Za Zhi = Zhonghua Liuxingbingxue Zazhi
|December 16, 2024
PubMed
Summary
This summary is machine-generated.

Biological age (BA) assessment predicts age-related diseases and promotes healthy aging. Organ-system-specific BA models, especially second-generation ones, offer enhanced disease risk prediction and insights into aging processes.

More Related Videos

Robust Tissue Fabrication for Long-Term Culture of iPSC-Derived Brain Organoids for Aging Research
08:20

Robust Tissue Fabrication for Long-Term Culture of iPSC-Derived Brain Organoids for Aging Research

Published on: May 12, 2023

3.2K
Author Spotlight: Automated Lifespan Monitoring &#8211; 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

969

Related Experiment Videos

Last Updated: Jun 5, 2025

Surveying Low-Cost Methods to Measure Lifespan and Healthspan in Caenorhabditis elegans
10:08

Surveying Low-Cost Methods to Measure Lifespan and Healthspan in Caenorhabditis elegans

Published on: May 18, 2022

3.3K
Robust Tissue Fabrication for Long-Term Culture of iPSC-Derived Brain Organoids for Aging Research
08:20

Robust Tissue Fabrication for Long-Term Culture of iPSC-Derived Brain Organoids for Aging Research

Published on: May 12, 2023

3.2K
Author Spotlight: Automated Lifespan Monitoring &#8211; 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

969

Area of Science:

  • Gerontology
  • Biomarkers
  • Genetics

Background:

  • Biological age (BA) is a key metric for assessing aging and predicting age-related diseases.
  • Existing BA models, particularly first-generation, primarily utilize chronological age (CA) and organ-system-specific data.
  • Organ-system-specific BA shows promise in predicting disease risks within corresponding organ systems.

Purpose of the Study:

  • To review methodologies for constructing biological age (BA) and assess organ-system-specific BA.
  • To examine genome-wide association studies (GWAS) related to organ-system-specific aging.
  • To propose advancements in BA development for clinical applications.

Main Methods:

  • Review of first- and second-generation BA construction methodologies.
  • Analysis of data from questionnaires, physical examinations, clinical biochemistry, imaging, and multi-omics.
  • Exploration of genome-wide association studies (GWAS) and Mendelian randomization.

Main Results:

  • First-generation BA models predominantly used CA as a training phenotype.
  • Organ-system-specific BA accurately predicts disease risk for the respective organ systems.
  • Current research is advancing towards more specific and predictive BA models.

Conclusions:

  • Second-generation BA models and GWAS are crucial for understanding organ system-specific aging.
  • Developing organ system-specific BA provides a foundation for clinical applications.
  • Further research into organ system-specific aging processes is warranted for healthy aging initiatives.