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Related Concept Videos

Aging01:26

Aging

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...
Psychoneuroimmunology: Cardiovascular Disease01:27

Psychoneuroimmunology: Cardiovascular Disease

Psychoneuroimmunology (PNI) is a multidisciplinary field that examines how psychological factors, particularly stress, interact with the immune system and impact physical health. Research in PNI has shown that chronic or traumatic stress can disrupt both the hypothalamic-pituitary-adrenal axis and the sympathetic nervous system. These disruptions contribute to serious health conditions, including cardiovascular diseases.
A key area of focus in PNI is the relationship between stress and coronary...
Coronary Artery Disease I: Introduction01:30

Coronary Artery Disease I: Introduction

Coronary Artery Disease (CAD): An Overview with Scientific InsightsCoronary Artery Disease (CAD), often referred to as C-A-D, is a prevalent blood vessel disorder classified under the broader category of atherosclerosis. Atherosclerosis is a pathological process characterized by the hardening and narrowing of arteries due to the accumulation of atherosclerotic plaques. These plaques are composed of cholesterol, fatty substances, inflammatory cells, calcium, and fibrin, reducing blood flow to...
The Effect of Aging on Tissues01:19

The Effect of Aging on Tissues

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...
Psychoneuroimmunology: Diabetes and Cancer01:19

Psychoneuroimmunology: Diabetes and Cancer

Chronic stress has been linked to both the onset and progression of serious health conditions, including Type 2 diabetes and cancer. Type 2 diabetes, a widespread chronic illness, is closely associated with obesity and insulin resistance, both of which often worsen under stress. Studies indicate that men experiencing high levels of chronic stress face a 45% higher risk of developing diabetes compared to those with minimal stress. Stress triggers physiological responses that elevate blood...
Alzheimer Disease l: Introduction01:29

Alzheimer Disease l: Introduction

Alzheimer disease is a chronic, progressive, and irreversible neurodegenerative disorder and the most common cause of dementia in older adults. It leads to gradual neuronal loss, causing cognitive decline, behavioral changes, and loss of functional independence.Risk Factors and EtiologyThe disease is multifactorial. Age is the strongest risk factor, with prevalence doubling every 5 years after age 65. Genetic factors include mutations in genes such as APP, PSEN1, and PSEN2, which are associated...

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Related Experiment Video

Updated: Jun 5, 2026

A Phenotyping Regimen for Genetically Modified Mice Used to Study Genes Implicated in Human Diseases of Aging
09:37

A Phenotyping Regimen for Genetically Modified Mice Used to Study Genes Implicated in Human Diseases of Aging

Published on: July 14, 2016

Immune Aging is an Independent Risk Factor for Cardiovascular Disease.

Erik Feldman1, Everton Jose Santana2,3, Bettia Celestin2,3

  • 1Department of Immunology, Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.

Biorxiv : the Preprint Server for Biology
|June 4, 2026
PubMed
Summary
This summary is machine-generated.

A new metric, IMM-AGE, measures immune aging to predict cardiovascular disease risk. This immune aging score improves risk prediction beyond traditional factors, offering a practical tool for personalized cardiovascular care.

Related Experiment Videos

Last Updated: Jun 5, 2026

A Phenotyping Regimen for Genetically Modified Mice Used to Study Genes Implicated in Human Diseases of Aging
09:37

A Phenotyping Regimen for Genetically Modified Mice Used to Study Genes Implicated in Human Diseases of Aging

Published on: July 14, 2016

Area of Science:

  • Immunology
  • Cardiovascular Medicine
  • Biogerontology

Background:

  • Cardiovascular disease (CVD) is a leading global cause of death.
  • Residual risk for CVD persists despite traditional predictors.
  • Clinically scalable metrics for immune system state are needed.

Purpose of the Study:

  • To establish the clinical and prognostic relevance of IMM-AGE, a system-level metric of immune aging.
  • To develop clinic-ready implementations for IMM-AGE measurement.
  • To assess IMM-AGE's utility in cardiovascular risk stratification and prediction.

Main Methods:

  • Developed a transcriptomic gene-ratio signature and optimized flow cytometry panels for IMM-AGE.
  • Applied IMM-AGE measurements across diverse population-based and disease-specific datasets.
  • Integrated IMM-AGE into the PREVENT 10-year risk equation using UK Biobank data.

Main Results:

  • Elevated IMM-AGE is consistently associated with cardiovascular phenotypes and disease.
  • IMM-AGE incorporation improved accuracy in the PREVENT risk equation.
  • Baseline IMM-AGE independently predicted cardiac remodeling and mortality in elderly patients undergoing TAVR.
  • IMM-AGE stratified cardiovascular event risk in a longitudinal cohort.

Conclusions:

  • Immune aging (IMM-AGE) is a transferable, biologically grounded dimension of cardiovascular risk.
  • IMM-AGE serves as a practical tool for precision cardiovascular risk assessment.
  • This metric enhances risk stratification beyond conventional clinical and metabolic predictors.