ArticleBiogerontology2009
Age-related transcriptional changes in gene expression in different organs of mice support the metabolic stability theory of aging.
Article in Biogerontology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 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
39 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.
- Meta-analysis of human prefrontal cortex reveals activation of GFAP and decline of synaptic transmission in the aging brain.Acta neuropathologica communications · 2020Pooled it
- Ginsenoside Re Attenuates D-Galactose-Induced Aging-like Oxidative Stress in Cultured Bovine Oocytes via Activation of the SIRT1/Nrf2 Signaling Pathway.International journal of molecular sciences · 2026Article
- Transcriptome analysis of ageing in a long-lived seabird reveals sex-specific differences across age classes in immune and DNA repair pathways.Frontiers in aging · 2026Article
- Transcriptomic and flavor metabolomic exploration of the genetic basis of meat quality and flavor in Tibetan sheep.BMC genomics · 2025Article
- The evolution of ageing: classic theories and emerging ideas.Biogerontology · 2024Review
- Differential analysis of ovarian tissue between high and low-yielded laying hens in the late laying stage and the effect of LECT2 gene on follicular granulosa cells proliferation.Molecular biology reports · 2024Article
- Review
- Multi-omic rejuvenation of naturally aged tissues by a single cycle of transient reprogramming.Aging cell · 2022Article
- Translational control in cell ageing: an update.Biochemical Society transactions · 2021Review
- Regulation of Gene Expression by Telomere Position Effect.International journal of molecular sciences · 2021Review
- Carnosine Content and Its Association with Carnosine-Related Gene Expression in Breast Meat of Thai Native and Black-Bone Chicken.Animals : an open access journal from MDPI · 2021Article
- Nanomaterials in Skin Regeneration and Rejuvenation.International journal of molecular sciences · 2021Review
- Article
- Multi-omic profiling of plasma reveals molecular alterations in children with COVID-19.Theranostics · 2021Article
- Article
- Human iPSC-derived MSCs (iMSCs) from aged individuals acquire a rejuvenation signature.Stem cell research & therapy · 2019Article
- Review
- Telomerase Deficiency Predisposes to Heart Failure and Ischemia-Reperfusion Injury.Frontiers in cardiovascular medicine · 2019Article
- Article
- Molecular Mechanisms Responsible for Increased Vulnerability of the Ageing Oocyte to Oxidative Damage.Oxidative medicine and cellular longevity · 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 at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Individual differences in the rate of aging are determined by the efficiency with which an organism transforms resources into metabolic energy thus maintaining the homeostatic condition of its cells and tissues. This observation has been integrated with analytical studies of the metabolic process to derive the following principle: The metabolic stability of regulatory networks, that is the ability of cells to maintain stable concentrations of reactive oxygen species (ROS) and other critical metabolites is the prime determinant of life span. The metabolic stability of a regulatory network is determined by the diversity of the metabolic pathways or the degree of connectivity of genes in the network. These properties can be empirically evaluated in terms of transcriptional changes in gene expression. We use microarrays to investigate the age-dependence of transcriptional changes of genes in the insulin signaling, oxidative phosphorylation and glutathione metabolism pathways in mice. Our studies delineate age and tissue specific patterns of transcriptional changes which are consistent with the metabolic stability-longevity principle. This study, in addition, rejects the free radical hypothesis which postulates that the production rate of ROS, and not its stability, determines life span.
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.