ArticleGut microbes
A gut aging clock using microbiome multi-view profiles is associated with health and frail risk.
Article in Gut microbes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- The role of gut microbiome in aging-associated diseases: where do we stand now and how technology will transform the future.Gut microbes · 2026Review
- Associations of oral microbiome diversity with prevalent cancer: a population-based cross-sectional study.Archives of microbiology · 2026Article
- Urbanization-Associated Microbial Diversity Loss and Its Impact on Elderly Health: Integrating Environmental and Host Microbiome Dynamics.Environmental microbiology · 2026Article
- Article
- Gut microbiota and aging: current understanding and future perspectives.Molecular biomedicine · 2026Review
- The gut microbiome and ageing trajectories: mechanisms and clinical implications.Nature reviews. Endocrinology · 2026Review
- Mapping the canine gut microbiome: insights from the Dog Aging Project.Nature communications · 2026Article
- Taxonomic and functional remodeling of the gut microbiota during aging and implications for microbiota-derived biomarkers.World journal of microbiology & biotechnology · 2026Review
- Host genetics and diet jointly shape the microbiome of Drosophila melanogaster but do not predict lifespan or age-related traits.Biogerontology · 2026Article
- Comparison and validation of machine learning models to predict 5-year fall risk among community-dwelling older adults in China.BMC geriatrics · 2026Article
- Oral microbiome signatures predict biological age and host health.Nature communications · 2026Article
- Blood biochemical and gut microbiotic neural network models forecasting human biological age.Aging · 2026Article
- Gut microbiota in perimenopausal atherosclerosis: the estrogen-gut-vascular axis and personalized cardiovascular prevention.Frontiers in endocrinology · 2026Review
- The microbiome-gut-brain axis: a new perspective on the pathogenesis and intervention of frailty.Frontiers in cellular and infection microbiology · 2026Review
- Clinical translation of salivary MicroAge for understanding the oral-systemic connection in healthy longevity.Frontiers in microbiology · 2026Review
- Pathogenesis of various pulmonary diseases by tuning immune response: insight from host-microbial crosstalk.Current research in microbial sciences · 2026Review
- Gut microbiota-epigenetic interactions in systemic aging: mechanistic drivers for endocrine and reproductive network remodeling and therapeutic modulation.Frontiers in aging · 2026Review
- Modeling unobserved heterogeneity in multistate event history data using frailty and weighted survival approaches.Scientific reports · 2025Article
- Chronological age estimation from human microbiomes with transformer-based Robust Principal Component Analysis.Communications biology · 2025Article
- Progressive gut microbiota shifts and functional alterations across aging stages and frailty in mice.iScience · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Age-related changes in the microbiome have been reported in previous studies; however, direct evidence for their association with frailty is lacking. Here, we introduce biological age based on gut microbiota (gAge), an integrated prediction model that integrates gut microbiota data from different perspectives with potential background factors for aging assessment. Simulation results show that, compared with a single model, the ensemble model can not only significantly improve the prediction accuracy, but also make full use of the data in unpaired samples. From this, we identified markers associated with age development and grouped markers into accelerated aging and mitigated aging according to their effect on the prediction. Importantly, the application of gAge to an elderly cohort with different frailty levels confirmed that gAge and its predictive residuals are closely related to the individual's health status and frailty stage, and age-related markers overlap significantly with disease and frailty characteristics. Furthermore, we applied the gAge prediction model to another independent cohort of the elderly population for aging assessment and found that gAge could effectively represent the aging population. Overall, our study explains the association between the gut microbiota and frailty, providing potential targets for the development of gut microbiota-based targeted intervention strategies for aging.
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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.