ReviewMetabolites2015
Mathematical modelling of metabolic regulation in aging.
Review in Metabolites, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed.
- Molecular Mechanism of Resveratrol and Its Therapeutic Potential on Female Infertility.International journal of molecular sciences · 2024Review
- Electrochemically detecting DNA methylation in the EN1 gene promoter: implications for understanding ageing and disease.Bioscience reports · 2020Article
- Cholesterol Homeostasis: An In Silico Investigation into How Aging Disrupts Its Key Hepatic Regulatory Mechanisms.Biology · 2020Article
- Effect of Age and Lipoperoxidation in Rat and Human Adipose Tissue-Derived Stem Cells.Oxidative medicine and cellular longevity · 2020Article
- Aldosterone Modulates the Mechanistic Target of Rapamycin Signaling in Male Mice.Endocrinology · 2019Article
- Divergent Aging of Isogenic Yeast Cells Revealed through Single-Cell Phenotypic Dynamics.Cell systems · 2019Article
- Understanding the mTOR signaling pathway via mathematical modeling.Wiley interdisciplinary reviews. Systems biology and medicine · 2017Review
- Modelling the molecular mechanisms of aging.Bioscience reports · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The underlying cellular mechanisms that characterize aging are complex and multifaceted. However, it is emerging that aging could be regulated by two distinct metabolic hubs. These hubs are the pathway defined by the mammalian target of rapamycin (mTOR) and that defined by the NAD+-dependent deacetylase enzyme, SIRT1. Recent experimental evidence suggests that there is crosstalk between these two important pathways; however, the mechanisms underpinning their interaction(s) remains poorly understood. In this review, we propose using computational modelling in tandem with experimentation to delineate the mechanism(s). We briefly discuss the main modelling frameworks that could be used to disentangle this relationship and present a reduced reaction pathway that could be modelled. We conclude by outlining the limitations of computational modelling and by discussing opportunities for future progress in this area.
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.