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Thermodynamic analysis of aging

Authors: Swati Sinha.;

Thermodynamic analysis of aging

Abstract

Aging is the accumulation of changes in an organism. Numerous theories have been proposed to understand mechanism of aging. External environment factors, genomic component, somatic mutation, harmful effects of free radicals, decline of the immune response, deficiency in the endocrine system, accumulation of glycosylation and products, decreasing amount of heat-shock proteins and telomere shortening are thought to be related to aging. In this analysis the changing in the entropy (∆S), which is a measure of the disorder in a system, is evaluated to gain insights into the ageing of the extra-cellular matrix of tail tendons from C57BL6 mice as our animal model. Here, ∆S is modeled by the free expansion of collagen within the extracellular matrix of the tendons (between two age points) for reversible isothermal changes; this yields ∆S as a function of the ratio of fractional cross-sectional areas of collagen. Transmission electron micrographs of C57BL6 mouse tail tendons has been analysed to obtain the fractional cross-sectional area at age groups 1.6, 1.9, 2.6, 4.0, 11.5, 23.0, 29 and 31.5 months; the data was used to determine ∆S from the model. The results revealed that ∆S varies sinusoidally with age. The results obtained have been used to explain the change in entropy due to the collagen fibril assembly during fibrillogenesis.

Master of Science (Biomedical Engineering)

Country
Singapore
Related Organizations
Keywords

DRNTU::Engineering::Bioengineering

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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