Jove
Visualize
Contact Us

Related Concept Videos

Aging01:26

Aging

938
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...
938
Altruism01:03

Altruism

48.3K
Altruistic behaviors are “unselfish” behaviors—those that help another individual at the expense of the individual carrying out the behavior. Despite the negative consequences for the altruistic animal, these behaviors are thought to have evolved for several reasons.
48.3K
Egoism and Altruism01:55

Egoism and Altruism

93.7K
Voluntary behavior with the intent to help other people is called prosocial behavior. Why do people help other people? Is personal benefit such as feeling good about oneself the only reason people help one another?
93.7K
Inclusive Fitness00:57

Inclusive Fitness

43.2K
Most altruistic behavior—in which one animal helps another at a cost to themselves—occurs between relatives. Scientists think these altruistic behaviors evolved because they increase the inclusive fitness of the animal providing help.
43.2K
The Effect of Aging on Tissues01:19

The Effect of Aging on Tissues

4.1K
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...
4.1K
Erikson's Theory on Socioemotional Development during Adulthood01:27

Erikson's Theory on Socioemotional Development during Adulthood

1.2K
Erik Erikson's theory of psychosocial development outlines a series of stages through which individuals progress across the lifespan. Each stage involves a psychosocial conflict that significantly influences personal growth and well-being. Three key stages — intimacy versus isolation, generativity versus stagnation, and integrity versus despair — highlight the developmental challenges faced in adulthood.
Intimacy Versus Isolation in Early Adulthood
Individuals in early...
1.2K

You might also read

Related Articles

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

Sort by
Same author

The Diagnostic Course of Sarcoidosis: A Population-Based Study Highlighting Risk Factors for a Delay in Diagnosis.

Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG·2026
Same author

Closed Manual Reduction of Bilaterally Jumped and Locked Cervical Facets under General Anesthesia: Technical Note.

Journal of neurological surgery. Part A, Central European neurosurgery·2026
Same author

Urobiome composition after renal transplantation: an exploratory study.

BMC microbiology·2026
Same author

A coupling model of transcranial magnetic stimulation induced electric fields to neural state variables.

PLoS computational biology·2026
Same author

GA Depot, a long-acting glatiramer acetate, vs placebo in patients with relapsing multiple sclerosis: A randomized phase 3 clinical trial.

Multiple sclerosis (Houndmills, Basingstoke, England)·2026
Same author

Approximate quantum circuit compilation for proton-transfer kinetics on quantum processors.

Physical chemistry chemical physics : PCCP·2026
Same journal

Modeling the impact of budget limitation on the screening and treatment pathway of HPV-induced precancerous cervical lesions.

Mathematical biosciences and engineering : MBE·2026
Same journal

Modeling the effects of trait-mediated dispersal on coexistence of two species: Competition and non-consumptive predator-prey.

Mathematical biosciences and engineering : MBE·2026
Same journal

A close look at the viral reduction rate in target cell limited models.

Mathematical biosciences and engineering : MBE·2026
Same journal

A stochastic agent-based model for simulating tumor-immune dynamics and evaluating therapeutic strategies.

Mathematical biosciences and engineering : MBE·2026
Same journal

Addressing domain shift via imbalance-aware domain adaptation in embryo development assessment.

Mathematical biosciences and engineering : MBE·2026
Same journal

Effect of drug resistance on an HIV epidemic in heterogeneous populations.

Mathematical biosciences and engineering : MBE·2026
See all related articles
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 Experiment Video

Updated: Mar 11, 2026

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

4.3K

Altruistic aging: The evolutionary dynamics balancing longevity and evolvability.

Minette Herrera1, Aaron Miller, Joel Nishimura

  • 1School of Mathematical and Natural Sciences, Arizona State University, Glendale, AZ 85306-4908, United States.

Mathematical Biosciences and Engineering : MBE
|November 24, 2016
PubMed
Summary
This summary is machine-generated.

Senescence, or age-related deterioration, can be a form of altruism in rapidly changing environments. While long lifespans benefit individuals, they can increase population extinction risk, a finding supported by agent-based modeling.

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

1.7K
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

6.9K

Related Experiment Videos

Last Updated: Mar 11, 2026

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

4.3K
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

1.7K
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

6.9K

Area of Science:

  • Evolutionary biology
  • Population dynamics
  • Aging research

Background:

  • Altruism typically benefits populations at an individual cost.
  • Environmental change poses challenges to population stability.
  • Senescence, or age-related deterioration, is a common biological process.

Purpose of the Study:

  • To investigate whether senescence can function as an altruistic trait.
  • To explore the impact of senescence on population survival during environmental change.
  • To determine conditions under which senescence can be evolutionarily stable.

Main Methods:

  • Agent-based modeling (ABM) was employed to simulate population dynamics.
  • Simulations explored the interplay between lifespan, environmental change, and extinction risk.
  • Population structure was analyzed to understand the stability of senescence.

Main Results:

  • Longer lifespans, while individually advantageous, increase population extinction risk in fluctuating environments.
  • Senescence can act as an altruistic mechanism, promoting population resilience.
  • Population structure can stabilize the evolution of senescence, similar to other cooperative behaviors.

Conclusions:

  • Senescence may represent an adaptive altruistic strategy in unpredictable environments.
  • Balancing individual longevity with population-level adaptation is crucial for long-term survival.
  • Further research into the ecological and evolutionary drivers of aging is warranted.