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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...
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...
Bone Disorders01:29

Bone Disorders

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...
Mitochondria01:37

Mitochondria

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,...
Pharmacodynamics in Geriatric Patients: Effects of Age01:27

Pharmacodynamics in Geriatric Patients: Effects of Age

Age-related pharmacokinetic changes are extensively documented, but understanding age-related pharmacodynamic alterations is relatively limited. This knowledge gap can be partly attributed to the complexity of developing appropriate measures of drug responses compared to bioanalytical methods for determining drug concentrations.Most information regarding age-related differences in human pharmacodynamics originates from cross-sectional studies. However, these studies assume that observed mean...

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Related Experiment Video

Updated: Jun 30, 2026

Methods to Study Changes in Inherent Protein Aggregation with Age in Caenorhabditis elegans
11:57

Methods to Study Changes in Inherent Protein Aggregation with Age in Caenorhabditis elegans

Published on: November 26, 2017

Microstructural and Biomechanical Determinants of Biological Aging.

Pramath Doddaballapur, Jack Di Palo, Dongnan Liu

    Biorxiv : the Preprint Server for Biology
    |June 29, 2026
    PubMed
    Summary

    Researchers developed a model to predict biological age by analyzing pulmonary artery structure and mechanics. Combining collagen fiber data with pulse wave velocity significantly improved age prediction accuracy, revealing sex-specific differences.

    Related Experiment Videos

    Last Updated: Jun 30, 2026

    Methods to Study Changes in Inherent Protein Aggregation with Age in Caenorhabditis elegans
    11:57

    Methods to Study Changes in Inherent Protein Aggregation with Age in Caenorhabditis elegans

    Published on: November 26, 2017

    Area of Science:

    • Cardiovascular Research
    • Aging Biology
    • Biomedical Engineering

    Background:

    • Pulmonary artery aging involves structural and mechanical changes.
    • Quantitative models for predicting normative aging are lacking.
    • Vascular and lung aging are mechanistically linked.

    Purpose of the Study:

    • To develop a multimodal model for predicting biological age using pulmonary artery aging signatures.
    • To integrate structural (collagen fiber orientation, straightness) and mechanical (pulse wave velocity) parameters.
    • To investigate sex dimorphism in vascular aging prediction.

    Main Methods:

    • Utilized two-photon imaging and mechanical measurements in C57BL6 mice (6-24 months).
    • Developed a support vector regression (SVR) model incorporating collagen fiber orientation (von Mises distribution) and straightness.
    • Integrated vascular mechanical parameters, including pulse wave velocity (PWV).
    • Assessed lung mechanics for independent predictive contributions.

    Main Results:

    • Microstructure-only model achieved R² = 0.596, MAE = 3.43 months.
    • Combined model (microstructure + PWV) improved prediction to R² = 0.834, MAE = 2.26 months (40.1% enhancement).
    • Females showed stronger predictive signal (R² = 0.960) compared to males (R² = 0.658) based on collagen.
    • Lung mechanics did not add significant independent predictive value beyond vascular data.

    Conclusions:

    • Established a multimodal framework for quantifying vascular biological age.
    • Demonstrated the integration of structural and mechanical aging signatures for accurate age prediction.
    • Highlighted significant sex dimorphism in the contribution of vascular microstructure to aging prediction.