Evidence map›Paper›PMID 27179790›Full record

ArticleHuman molecular genetics2016

Systems-level analysis of human aging genes shed new light on mechanisms of aging.

Quanwei Zhang, Ruben Nogales-Cadenas, Jhih-Rong Lin, Wen Zhang, Ying Cai, Jan Vijg, Zhengdong D Zhang

Abstract read
In one paragraph

Article in Human molecular genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Insulin and aging - a disappointing relationship.Frontiers in endocrinology · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. CLEC3B p.S106G Mutant in a Caucasian Population of Successful Neurological Aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    Article
  13. Article
  14. Review
  15. Article
  16. Genetic and epigenetic regulation of human aging and longevity.Biochimica et biophysica acta. Molecular basis of disease · 2019
    Review
  17. Article
  18. Computational tools for geroscience.Translational medicine of aging · 2019
    Article
  19. FOXO3 on the Road to Longevity: Lessons From SNPs and Chromatin Hubs.Computational and structural biotechnology journal · 2019
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Quanwei ZhangDepartment of Genetics zhengdong.zhang@einstein.yu quanwei.zhang@einstein.yu.edu.
Ruben Nogales-CadenasDepartment of Genetics.
Jhih-Rong LinDepartment of Genetics.
Wen ZhangDepartment of Genetics.
Ying CaiDepartment of Genetics.
Jan VijgDepartment of Genetics.
Zhengdong D ZhangDepartment of Genetics zhengdong.zhang@einstein.yu quanwei.zhang@einstein.yu.edu.

Funding

The role of hyaluronan in longevity and cancer resistance of longest-lived rodentP01AG047200 · NIA · UNIVERSITY OF ROCHESTER · PI JAN VIJG · 2014 to 2026
$36.9M
NIA NIH HHS P01 AG047200
6 · The paper itself

Abstract

Although studies over the last decades have firmly connected a number of genes and molecular pathways to aging, the aging process as a whole still remains poorly understood. To gain novel insights into the mechanisms underlying aging, instead of considering aging genes individually, we studied their characteristics at the systems level in the context of biological networks. We calculated a comprehensive set of network characteristics for human aging-related genes from the GenAge database. By comparing them with other functional groups of genes, we identified a robust group of aging-specific network characteristics. To find the structural basis and the molecular mechanisms underlying this aging-related network specificity, we also analyzed protein domain interactions and gene expression patterns across different tissues. Our study revealed that aging genes not only tend to be network hubs, playing important roles in communication among different functional modules or pathways, but also are more likely to physically interact and be co-expressed with essential genes. The high expression of aging genes across a large number of tissue types also points to a high level of connectivity among aging genes. Unexpectedly, contrary to the depletion of interactions among hub genes in biological networks, we observed close interactions among aging hubs, which renders the aging subnetworks vulnerable to random attacks and thus may contribute to the aging process. Comparison across species reveals the evolution process of the aging subnetwork. As the organisms become more complex, the complexity of its aging mechanisms increases and their aging hub genes are more functionally connected.

Indexed as

Systems BiologyAgingComputational BiologyDatabases, GeneticGene Expression RegulationGene Regulatory NetworksGenes, EssentialHumansSignal Transduction

Identifiers

PMID27179790
PMCPMC6390412

What OpenQuestion holds

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Registered trials

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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.