ArticleAge (Dordrecht, Netherlands)2010
Revealing system-level correlations between aging and calorie restriction using a mouse transcriptome.
Article in Age (Dordrecht, Netherlands), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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Who cites it
10 citing papers in PubMed, 19 citations in OpenAlex.
- Article
- Review
- Anti-aging Effects of Calorie Restriction (CR) and CR Mimetics based on the Senoinflammation Concept.Nutrients · 2020Review
- Modulation of senoinflammation by calorie restriction based on biochemical and Omics big data analysis.BMB reports · 2019Review
- Age-related inflammation and insulin resistance: a review of their intricate interdependency.Archives of pharmacal research · 2014Review
- Identification of the dichotomous role of age-related LCK in calorie restriction revealed by integrative analysis of cDNA microarray and interactome.Age (Dordrecht, Netherlands) · 2013Article
- Induction of cell proliferation in old rat liver can reset certain gene expression levels characteristic of old liver to those associated with young liver.Age (Dordrecht, Netherlands) · 2013Article
- Polygenic effects of common single-nucleotide polymorphisms on life span: when association meets causality.Rejuvenation research · 2012Article
- Genome-environment interactions that modulate aging: powerful targets for drug discovery.Pharmacological reviews · 2012Review
- Proteomics and systems biology: current and future applications in the nutritional sciences.Advances in nutrition (Bethesda, Md.) · 2011Review
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 2 countries.
Funding
Abstract
Although systems biology is a perfect framework for investigating system-level declines during aging, only a few reports have focused on a comprehensive understanding of system-level changes in the context of aging systems. The present study aimed to understand the most sensitive biological systems affected during aging and to reveal the systems underlying the crosstalk between aging and the ability of calorie restriction (CR) to effectively slow-down aging. We collected and analyzed 478 aging- and 586 CR-related mouse genes. For the given genes, the biological systems that are significantly related to aging and CR were examined according to three aspects. First, a global characterization by Gene Ontology (GO) was performed, where we found that the transcriptome (a set of genes) for both aging and CR were strongly related in the immune response, lipid metabolism, and cell adhesion functions. Second, the transcriptional modularity found in aging and CR was evaluated by identifying possible functional modules, sets of genes that show consistent expression patterns. Our analyses using the given functional modules, revealed systemic interactions among various biological processes, as exemplified by the negative relation shown between lipid metabolism and the immune response at the system level. Third, transcriptional regulatory systems were predicted for both the aging and CR transcriptomes. Here, we suggest a systems biology framework to further understand the most important systems as they age.
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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.