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

92
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...
92
The Effect of Aging on Tissues01:19

The Effect of Aging on Tissues

2.2K
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...
2.2K
Mitochondria01:37

Mitochondria

14.0K
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,...
14.0K
Longitudinal Research02:20

Longitudinal Research

12.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.0K
Tumor Progression02:07

Tumor Progression

6.4K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
6.4K

You might also read

Related Articles

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

Sort by
Same author

Protocol for Developing and Validating a Multimarker-Clinical Prediction Model of SGLT2 Inhibitor-Induced Acute eGFR Dip in CKD Stages 3-4: A Three-Stage Urinary Proteomics Study.

Life (Basel, Switzerland)·2026
Same author

Evolutionary, genetic, and mechanistic insights into uric acid regulation and sex differences.

Kidney research and clinical practice·2026
Same author

Impact of area socioeconomic deprivation on major adverse renal events in patients with acute kidney injury: a retrospective cohort study of a single-center national patient population.

Annals of medicine·2026
Same author

Clinicopathological characteristics and renal outcomes of IgA nephropathy in systemic lupus erythematosus: a case report and systematic literature review.

BMC nephrology·2026
Same author

The SPP1-CD44 Signaling Axis Orchestrates Macrophage Metabolism to Promote Early Inflammation in Acute Kidney Injury.

International journal of biological sciences·2026
Same author

Luteolin as a novel therapeutic for diabetic kidney disease: Targeting the ADAM10-TREM2 pathway.

Journal of advanced research·2026

Related Experiment Video

Updated: Aug 1, 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

3.5K

Progress in biological age research.

Zhe Li1,2, Weiguang Zhang2, Yuting Duan1,2

  • 1The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.

Frontiers in Public Health
|May 1, 2023
PubMed
Summary
This summary is machine-generated.

Biological age (BA) offers a functional aging assessment beyond chronological age (CA). This review details biomarkers and methods for BA estimation, highlighting future research needs for improved accuracy.

Keywords:
ageagingaging biomarkersbiological agechronological agedeep learning

More Related Videos

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

1.1K
A Suppressor Screen for the Characterization of Genetic Links Regulating Chronological Lifespan in Saccharomyces cerevisiae
10:39

A Suppressor Screen for the Characterization of Genetic Links Regulating Chronological Lifespan in Saccharomyces cerevisiae

Published on: September 17, 2020

6.3K

Related Experiment Videos

Last Updated: Aug 1, 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

3.5K
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

1.1K
A Suppressor Screen for the Characterization of Genetic Links Regulating Chronological Lifespan in Saccharomyces cerevisiae
10:39

A Suppressor Screen for the Characterization of Genetic Links Regulating Chronological Lifespan in Saccharomyces cerevisiae

Published on: September 17, 2020

6.3K

Area of Science:

  • Gerontology
  • Biomarkers
  • Aging Research

Background:

  • Biological age (BA) serves as a functional metric for aging, potentially more precise than chronological age (CA).
  • BA estimation depends heavily on selected aging biomarkers, their standardization, and the statistical methodologies employed.
  • Existing BA construction methods include multiple linear regression (MLR), principal component analysis (PCA), Klemera-Doubal method (KDM), and deep learning approaches.

Purpose of the Study:

  • To review and summarize organ/system-specific biomarkers used in biological age construction.
  • To provide an overview of the methodologies applied in biological age research.
  • To identify future research directions for enhancing biological age models.

Main Methods:

  • Literature review of published studies on biological age.
  • Compilation of aging biomarkers across different organs and systems.
  • Analysis of statistical and machine learning methods used for BA estimation.

Main Results:

  • Identified diverse biomarkers across physiological systems contributing to BA.
  • Summarized traditional and contemporary methods (MLR, PCA, KDM, deep learning) for BA calculation.
  • Highlighted the variability in biomarker selection and standardization impacting BA accuracy.

Conclusions:

  • Biological age models require further refinement through the exploration of novel aging biomarkers.
  • Standardization of biomarker selection and measurement is crucial for reliable BA estimation.
  • Development of advanced statistical and machine learning techniques is essential for building more accurate BA prediction models.