ArticleGut microbes
Human gut microbiome aging clocks based on taxonomic and functional signatures through multi-view learning.
Article in Gut microbes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Low Circulating Valine Associate With High Risk of Hip Fractures.The Journal of clinical endocrinology and metabolism · 2023Pooled it
- The role of gut microbiome in aging-associated diseases: where do we stand now and how technology will transform the future.Gut microbes · 2026Review
- Hematopoietic stem cell aging: a review of transcriptional and multi-omics insights and potential paths for AI integration.Experimental & molecular medicine · 2026Review
- The Evolving Landscape of Clinical Aging Clocks: From Epigenetic to Multi-Omics Integration.Aging cell · 2026Review
- Machine Learning and Artificial Intelligence in Nutrition Research: Analytical Methods, Applications, and Key Considerations.The Journal of nutrition · 2026Review
- Amino acid-based biological age clock and its implications for human health and aging.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
- Machine learning and experiment reveals gut microbial predictors of functional fatty acids in pork.Food chemistry: X · 2026Article
- Blood biochemical and gut microbiotic neural network models forecasting human biological age.Aging · 2026Article
- rCCLasso: a robust framework for microbial correlation network analysis reveals age-related microbial dynamics.Frontiers in cellular and infection microbiology · 2026Article
- Gut microbiome composition and metabolic activity in metabolic-associated fatty liver disease.Virulence · 2025Article
- Predicting age from binarized human oral microbial data combined with an ensemble of classifiers.mSystems · 2025Article
- Multi-omics reveal critical roles of phosphatidylcholine and sphingomyelin in antipsychotic efficacy for schizophrenia.Signal transduction and targeted therapy · 2025Article
- Modulating biological aging with food-derived signals: a systems and precision nutrition perspective.npj aging · 2025Review
- 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
- Gut metagenomes reveal interactions between dietary restriction, ageing and the microbiome in genetically diverse mice.Nature microbiology · 2025Article
- Article
- Differences in cell-associated and cell-free microbial DNA in blood.bioRxiv : the preprint server for biology · 2025Article
- Deep learning and generative artificial intelligence in aging research and healthy longevity medicine.Aging · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The human gut microbiome is a complex ecosystem that is closely related to the aging process. However, there is currently no reliable method to make full use of the metagenomics data of the gut microbiome to determine the age of the host. In this study, we considered the influence of geographical factors on the gut microbiome, and a total of 2604 filtered metagenomics data from the gut microbiome were used to construct an age prediction model. Then, we developed an ensemble model with multiple heterogeneous algorithms and combined species and pathway profiles for multi-view learning. By integrating gut microbiome metagenomics data and adjusting host confounding factors, the model showed high accuracy (R
Indexed as
Identifiers
What OpenQuestion holds
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.