Evidence map›Paper›PMID 32719537›Full record

ReviewNature metabolism2020

Genetics of extreme human longevity to guide drug discovery for healthy ageing.

Zhengdong D Zhang, Sofiya Milman, Jhih-Rong Lin, Shayne Wierbowski, Haiyuan Yu, Nir Barzilai, Vera Gorbunova, Warren C Ladiges, Laura J Niedernhofer, Yousin Suh and 2 more

Abstract readReview
In one paragraph

Review in Nature metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

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  10. Asymmetric Dimethylarginine: A Never-Aging Story.Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme · 2025
    Review
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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

12 authors.

Zhengdong D ZhangDepartment of Genetics, Albert Einstein College of Medicine, New York, NY, USA. zhengdong.zhang@einsteinmed.org.ORCID http://orcid.org/0000-0001-9508-1429
Sofiya MilmanDepartment of Genetics, Albert Einstein College of Medicine, New York, NY, USA.
Jhih-Rong LinDepartment of Genetics, Albert Einstein College of Medicine, New York, NY, USA.
Shayne WierbowskiDepartment of Computational Biology, Weill Institute for Cell and Molecular Biology, Cornell University, New York, NY, USA.
Haiyuan YuDepartment of Computational Biology, Weill Institute for Cell and Molecular Biology, Cornell University, New York, NY, USA.
Nir BarzilaiDepartment of Genetics, Albert Einstein College of Medicine, New York, NY, USA.
Vera GorbunovaDepartment of Biology, University of Rochester, Rochester, NY, USA.
Warren C LadigesDepartment of Comparative Medicine, School of Medicine, University of Washington, Seattle, WA, USA.
Laura J NiedernhoferInstitute on the Biology of Aging and Metabolism and Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN, USA.
Yousin SuhDepartment of Genetics, Albert Einstein College of Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0002-6014-3084
Paul D RobbinsInstitute on the Biology of Aging and Metabolism and Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0003-1068-7099
Jan VijgDepartment of Genetics, Albert Einstein College of Medicine, New York, NY, USA.

Funding

The role of hyaluronan in longevity and cancer resistance of longest-lived rodentP01AG047200 · NIA · UNIVERSITY OF ROCHESTER · PI Andrei Seluanov · 2014 to 2026
$36.9M
Somatic Activation of Retrotransposition: A New Molecular Mechanism of Aging?P01AG051449 · NIA · BROWN UNIVERSITY · PI John M Sedivy · 2016 to 2026
$30.4M
Targeting Cellular Senescence to Extend HealthspanP01AG062413 · NIA · MAYO CLINIC ROCHESTER · PI Sundeep Khosla, Nathan K LeBrasseur · 2019 to 2026
$28.7M
Validation and characterization of the identified variants associated with human longevity in mouse modelsU19AG056278 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI NIR J BARZILAI, Paul D. Robbins · 2017 to 2026
$24.5M
The role of SIRT6 posttranslational modifications in aging and genome stability. Supplement: Testing SIRT6 activators as potential Alzheimer's disease therapy.R01AG027237 · NIA · UNIVERSITY OF ROCHESTER · PI Vera Gorbunova · 2006 to 2026
$6.2M
Integrative, age-related changes in genome and epigenome in human lung in relation to smokingU01HL145560 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SPIVACK, SIMON D, VIJG, JAN · 2019 to 2022
$2.6M
NHLBI NIH HHS U01 HL145560NIA NIH HHS P01 AG047200NIA NIH HHS P01 AG051449NIA NIH HHS P01 AG062413NIA NIH HHS R01 AG027237NIA NIH HHS U19 AG056278
6 · The paper itself

Abstract

Ageing is the greatest risk factor for most common chronic human diseases, and it therefore is a logical target for developing interventions to prevent, mitigate or reverse multiple age-related morbidities. Over the past two decades, genetic and pharmacologic interventions targeting conserved pathways of growth and metabolism have consistently led to substantial extension of the lifespan and healthspan in model organisms as diverse as nematodes, flies and mice. Recent genetic analysis of long-lived individuals is revealing common and rare variants enriched in these same conserved pathways that significantly correlate with longevity. In this Perspective, we summarize recent insights into the genetics of extreme human longevity and propose the use of this rare phenotype to identify genetic variants as molecular targets for gaining insight into the physiology of healthy ageing and the development of new therapies to extend the human healthspan.

Indexed as

Drug DiscoveryGeneticsAgingAnimalsHealthy AgingHumansLongevity

Identifiers

PMID32719537
PMCPMC7912776

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.