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The Gut and Skin Microbiome and Its Association with Aging Clocks

Mildred Min, Caitlin Egli, Raja K. Sivamani

International Journal of Molecular Sciences · 2024 · ▲ 16 citations

Abstract

Aging clocks are predictive models of biological age derived from age-related changes, such as epigenetic changes, blood biomarkers, and, more recently, the microbiome. Gut and skin microbiota regulate more than barrier and immune function. Recent studies have shown that human microbiomes may predict aging. In this narrative review, we aim to discuss how the gut and skin microbiomes influence aging clocks as well as clarify the distinction between chronological and biological age. A literature search was performed on PubMed/MEDLINE databases with the following keywords: "skin microbiome" OR "gut microbiome" AND "aging clock" OR "epigenetic". Gut and skin microbiomes may be utilized to create aging clocks based on taxonomy, biodiversity, and functionality. The top contributing microbiota or metabolic pathways in these aging clocks may influence aging clock predictions and biological age. Furthermore, gut and skin microbiota may directly and indirectly influence aging clocks through the regulation of clock genes and the production of metabolites that serve as substrates or enzymatic regulators. Microbiome-based aging clock models may have therapeutic potential. However, more research is needed to advance our understanding of the role of microbiota in aging clocks.

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Provenance

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OpenAlex
DOI
10.3390/ijms25137471
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2026-07-22 MST

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APA
Min, M., Egli, C., &amp; Sivamani, R.K. (2024). The Gut and Skin Microbiome and Its Association with Aging Clocks. <em>International Journal of Molecular Sciences</em>. https://doi.org/10.3390/ijms25137471
Vancouver
Min M, Egli C, Sivamani RK. The Gut and Skin Microbiome and Its Association with Aging Clocks. International Journal of Molecular Sciences. 2024. doi:10.3390/ijms25137471.
BibTeX
@article{mildred2024TheGut, title = {The Gut and Skin Microbiome and Its Association with Aging Clocks}, author = {Mildred Min and Caitlin Egli and Raja K. Sivamani}, journal = {International Journal of Molecular Sciences}, year = {2024}, doi = {10.3390/ijms25137471}, }

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