ReviewInternational journal of molecular sciences2024
The Gut and Skin Microbiome and Its Association with Aging Clocks.
Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Review
- Microbiome and aging: Trajectories of microbiome age across human ecosystems and their systemic effects.iMeta · 2026Review
- Dynamic shifts in cutaneous bacterial and fungal communities throughout human aging: a pilot study.BMC microbiology · 2026Article
- Advances in skin aging: integrating epigenetic, cellular, and immune mechanisms for targeted therapy.Immunity & ageing : I & A · 2026Review
- Advances in multi-omics and aging clock research for female reproductive health and aging.MedScience · 2026Review
- Epigenetic and microbiome responses to greens supplementation in obese older adults: results from a randomized crossover-controlled trial.Frontiers in nutrition · 2026Article
- Unlocking Longevity in Aesthetic Dermatology: Epigenetics, Aging, and Personalized Care.International journal of dermatology · 2025Review
- Predicting age from binarized human oral microbial data combined with an ensemble of classifiers.mSystems · 2025Article
- Gut microbiota constituents may affect hypertrophic scarring risk through interaction with specific immune cells in a two-step, two-sample Mendelian randomization study.Scientific reports · 2025Article
- Review
- An Elucidation of the Anti-Photoaging Efficacy and Molecular Mechanisms of Epigallocatechin Gallate Nanoparticles in a Balb/c Murine Model.Foods (Basel, Switzerland) · 2025Article
- Revealing Amur tiger family pedigrees based on age identification using fecal microbiome and kinship analysis.Frontiers in microbiology · 2025Article
- Genetic Causal Association Between Skin Microbiota and Biological Aging: Evidence From a Mendelian Randomization Analysis.Journal of cosmetic dermatology · 2025Article
- Aging-Induced Changes inMicroorganisms · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.