Aging Biomarker
Aging Biomarker - Related Videos
09:10
Measuring Single-Cell Aging with an Imaging-based Biomarker of Chromatin and Epigenetic Aging
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2026
The protocol presents the imaging and computational workflow to extract and validate imaging-based chromatin and epigenetic age (ImAge).
08:29
Biomarkers in an Animal Model for Revealing Neural, Hematologic, and Behavioral Correlates of PTSD
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Cited by 29 •
2012
We describe a rat model of post traumatic stress disorder (PTSD) that reveals the persistent alterations in neuroendocrine function and the delayed long-term, exaggerated fear response, characteristic of PTSD patients. The animal model and methods described here are useful for correlating biomarkers in brain nuclei, which are mechanistic but cannot be measured in patients, with biomarkers in peripheral white blood cells, which can.
09:14
An Introduction to Aging and Regeneration
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2023
Tissues are maintained through a balance of cellular aging and regeneration. Aging refers to the gradual loss of cellular function, and regeneration is the repair of damaged tissue generally mediated by preexisting adult or somatic stem cells. Scientists are interested in understanding the biological mechanisms behind these two complex processes. By doing so, researchers may be able to use somatic stem cells to treat degenerative diseases and develop therapies that could delay the effects of...
10:10
An Overview of Alkenone Biomarker Analysis for Paleothermometry
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2023
Source: Laboratory of Jeff Salacup - University of Massachusetts Amherst Throughout this series of videos, natural samples were extracted and purified in search of organic compounds, called biomarkers, that can relate information on climates and environments of the past. One of the samples analyzed was sediment. Sediments accumulate over geologic time in basins, depressions in the Earth into which sediment flows through the action of fluid (water or air), movement, and gravity. Two main types...
08:28
An Overview of bGDGT Biomarker Analysis for Paleoclimatology
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2023
Source: Laboratory of Jeff Salacup - University of Massachusetts Amherst Throughout this series of videos, natural samples were extracted and purified in search of organic compounds, called biomarkers, that can relate information on climates and environments of the past. One of the samples analyzed was sediment. Sediments accumulate over geologic time in basins, depressions in the Earth into which sediment flows through the action of fluid (water or air), movement, and gravity. Two main types...
FAQs
Its value lies in capturing biological changes that may not match a person’s chronological age. Measurements related to epigenetic modification, telomere shortening, cellular senescence, inflammation, or tissue function can help characterize age-associated biology more directly. In cancer studies, this distinction supports analysis of how biological aging relates to tumor development and helps separate age-related variation from disease-associated change.
Researchers may examine several complementary processes rather than rely on a single feature. Epigenetic modification reflects molecular changes, telomere shortening indicates changes associated with cellular history, and cellular senescence identifies a state of altered cell function. Measures of inflammation and declining tissue function add physiological context, allowing studies to assess aging-related changes across molecular, cellular, and tissue levels.
A cancer-related change may occur alongside ordinary age-related biology, making interpretation difficult if the two are not considered separately. Aging biomarkers provide measurements that can help characterize these overlapping processes and clarify whether observed variation reflects aging, disease, or both. This distinction strengthens investigations of tumor development and supports more precise interpretation of cancer progression and treatment response.
Samples may come from blood, tissues, or other biological sources, depending on the feature being studied. Researchers then apply molecular or clinical assays to measure relevant changes, such as epigenetic modification, telomere shortening, senescence, inflammation, or tissue function. Comparing these measurements with cancer-related characteristics can reveal patterns associated with biological aging, disease status, or treatment-related change.
These measurements may be useful when studies need to account for differences in biological aging among people with similar chronological ages. Researchers can use the resulting information to characterize age-related biology, support risk assessment, or divide study participants into biologically informative groups. Such stratification may improve analyses of tumor development, progression, and differences in therapy response.
Researchers can compare aging-related measurements before and after treatment to examine whether senescence or other indicators of biological age have changed. Molecular, cellular, or physiological assays may provide evidence of treatment-associated shifts in these processes. This approach does not simply record tumor outcomes; it also helps investigate how therapy interacts with age-related biology during cancer treatment studies.