Preprint · OA
via OpenAlex
MoMA: Large scale network model of Microbes, Metabolites and Aging hallmarks
Sarvesh Menon, Nishad Bapatdhar, Bipin Pradeep Kumar, Samik Ghosh
bioRxiv (Cold Spring Harbor Laboratory) · 2023
Abstract
Abstract The gut microbiome is known to be a driver of age-related health decline. Various studies have shone light on the role of the gut microbiome as a marker as well as modulator of aging processes. However, the mechanisms by which the microbiome affects aging are still unclear. We have developed a Microbiome Metabolite Aging (MMA) fusion network by building upon a metabolic interaction network of gut microbiota to develop associations with the telomere(definition) attrition, cellular senescence(definition))." style="text-decoration:underline dotted; text-underline-offset:2px; cursor:help;">hallmarks of aging(definition). The MMA, consisting of 238 metabolite-aging hallmark interactions serves as a tool to investigate the mammalian (and in particular human) gut microbiome as an effector of aging at a systems-level. The network further identifies 249 microbes that unequivocally affect the hallmarks of aging. The results highlight how the underlying biology of microbial metabolite mediated interactions, in conjunction with the topological properties at a network level, differentially regulate the aging hallmarks. This detailed microbial and metabolite association to the hallmarks of aging provides a foundation which is envisaged to be instrumental in advancing our knowledge of the physiology of aging, and for the development of novel therapeutic tools.
◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:
Provenance
- Source
- OpenAlex
- DOI
- 10.1101/2023.08.28.555041
- Canonical
- link ↗
- Fetched
- 2026-06-05 MST
Cite this
APA
Menon, S., Bapatdhar, N., Kumar, B.P., & Ghosh, S. (2023). MoMA: Large scale network model of Microbes, Metabolites and Aging hallmarks. <em>bioRxiv (Cold Spring Harbor Laboratory)</em>. https://doi.org/10.1101/2023.08.28.555041
Vancouver
Menon S, Bapatdhar N, Kumar BP, Ghosh S. MoMA: Large scale network model of Microbes, Metabolites and Aging hallmarks. bioRxiv (Cold Spring Harbor Laboratory). 2023. doi:10.1101/2023.08.28.555041.
BibTeX
@unpublished{sarvesh2023MoMALa,
title = {MoMA: Large scale network model of Microbes, Metabolites and Aging hallmarks},
author = {Sarvesh Menon and Nishad Bapatdhar and Bipin Pradeep Kumar and Samik Ghosh},
journal = {bioRxiv (Cold Spring Harbor Laboratory)},
year = {2023},
doi = {10.1101/2023.08.28.555041},
}
Research neighborhood
References, citing works, and semantically nearest findings. Click a node to open it.
Related findings
Cell 2013
Open access · OA
The Hallmarks of Aging
Clinical Interventions in Aging 2025
Open access · CC-BY
The Ambiguous Role of HMGB1 Across the Hallmarks of Aging: A Narrative Review
Oxidative Medicine and Cellular Longevity 2017
Open access · CC-BY
Protein Posttranslational Modifications: Roles in Aging and Age‐Related Disease
Advanced science (Weinheim, Baden-Wurttemberg, Germany) 2025
Open access · OA
Microvascular Health as a Key Determinant of Organismal Aging.
Aging Cell 2012
Open access · OA
Hot topics in epigenetic mechanisms of aging: 2011
International Journal of Biological Sciences 2021
Open access · CC-BY