Evidence map›Paper›PMID 39504246›Full record

ArticleCell reports2024

Metabolite signatures of chronological age, aging, survival, and longevity.

Paola Sebastiani, Stefano Monti, Michael S Lustgarten, Zeyuan Song, Dylan Ellis, Qu Tian, Michaela Schwaiger-Haber, Ethan Stancliffe, Anastasia Leshchyk, Meghan I Short and 22 more

Abstract read
In one paragraph

Article in Cell reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Blood biomarkers and breed genetics of aging in pet dogs.bioRxiv : the preprint server for biology · 2026
    Article
  12. Dogs and humans share biomarkers of mortality.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. A Robust Serum Proteomic Signature of the E2 Allele of Apolipoprotein E.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  18. Observational
  19. 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

32 authors.

Paola SebastianiInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA 02111, USA; Department of Medicine, School of Medicine, Tufts University, Boston, MA 02111, USA. Electronic address: psebastiani@tuftsmedicalcenter.org.
Stefano MontiDepartment of Medicine, Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02118, USA; Bioinformatics Program, Boston University, Boston, MA 02215, USA.
Michael S LustgartenJean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111, USA.
Zeyuan SongInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA 02111, USA.
Dylan EllisInstitute for Systems Biology, Seattle, WA 98109, USA.
Qu TianLongitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA.
Michaela Schwaiger-HaberDepartment of Chemistry, Washington University in St. Louis, St. Louis, MO 63130, USA.
Ethan StancliffeDepartment of Chemistry, Washington University in St. Louis, St. Louis, MO 63130, USA.
Anastasia LeshchykBioinformatics Program, Boston University, Boston, MA 02215, USA.
Meghan I ShortInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA 02111, USA; Department of Medicine, School of Medicine, Tufts University, Boston, MA 02111, USA.
Andres V Ardisson KoratJean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111, USA.
Anastasia GurinovichInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA 02111, USA; Department of Medicine, School of Medicine, Tufts University, Boston, MA 02111, USA.
Tanya KaragiannisInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA 02111, USA; Department of Medicine, School of Medicine, Tufts University, Boston, MA 02111, USA.
Mengze LiBioinformatics Program, Boston University, Boston, MA 02215, USA.
Hannah J LordsBioinformatics Program, Boston University, Boston, MA 02215, USA.
Qingyan XiangInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA 02111, USA.
Megan M MarronDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Harold BaeBiostatistics Program, College of Health, Oregon State University, Corvallis, OR 97331, USA.
Mary F FeitosaDepartment of Genetics, Washington University School of Medicine, St. Louis, MO 63130, USA.
Mary K WojczynskiDepartment of Genetics, Washington University School of Medicine, St. Louis, MO 63130, USA.
Jeffrey R O'ConnellDepartment of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
May E MontasserDepartment of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Nicole SchupfDepartment of Epidemiology, Columbia University Medical Center, New York, NY 10032, USA.
Konstantin ArbeevSocial Science Research Institute, Duke University, Durham, NC 27708, USA.
Anatoliy YashinSocial Science Research Institute, Duke University, Durham, NC 27708, USA.
Nicholas SchorkThe Translational Genomics Research Institute, Phoenix, AZ 85004, USA.
Kaare ChristensenDanish Aging Research Center, University of Southern Denmark, 5000 Odense, Denmark.
Stacy L AndersenDepartment of Medicine, Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02118, USA.
Luigi FerrucciLongitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA.
Noa RappaportInstitute for Systems Biology, Seattle, WA 98109, USA.
Thomas T PerlsDepartment of Medicine, Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02118, USA.
Gary J PattiDepartment of Chemistry, Washington University in St. Louis, St. Louis, MO 63130, USA.

Funding

The Long Life Family StudyU19AG063893 · NIA · WASHINGTON UNIVERSITY · PI PAOLA SEBASTIANI · 2019 to 2026
$125.4M
Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI RICHARD A MILLER · 2004 to 2026
$102.6M
Regulatory and Human Study Operations (RHSO) Core CU19AG065169 · NIA · UNIVERSITY OF ARIZONA · PI HUENTELMAN, MATT · 2021 to 2025
$59.8M
Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 1999 to 2026
$30.2M
Identifying protective omics profiles in centenarians and translating these into preventive and therapeutic strategiesUH3AG064704 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI PERLS, THOMAS T, SEBASTIANI, PAOLA · 2022 to 2025
$14.7M
Identifying protective omics profiles in centenarians and translating these into preventive and therapeutic strategiesUH2AG064704 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI PERLS, THOMAS T, SEBASTIANI, PAOLA · 2019 to 2021
$9.4M
CTSA Institutional Mentored Career Development Program (KL2)KL2TR002545 · NCATS · TUFTS UNIVERSITY BOSTON · PI FREUND, KAREN · 2018 to 2022
$5.0M
Integrative Omics to enhance therapeutics development for healthy agingUH3AG064706 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI MILLER, RICHARD A, SCHORK, NICHOLAS JOSEPH · 2021 to 2024
$3.3M
Protein Signatures of APOE2 and Cognitive AgingR01AG061844 · NIA · TUFTS MEDICAL CENTER · PI PERLS, THOMAS T, SEBASTIANI, PAOLA · 2018 to 2022
$3.1M
NCATS NIH HHS KL2 TR002545NIA NIH HHS R01 AG061844NIA NIH HHS U19 AG023122NIA NIH HHS U19 AG063893NIA NIH HHS U19 AG065169NIA NIH HHS UH2 AG064704NIA NIH HHS UH3 AG064704NIA NIH HHS UH3 AG064706NIDDK NIH HHS P30 DK056341
6 · The paper itself

Abstract

Metabolites that mark aging are not fully known. We analyze 408 plasma metabolites in Long Life Family Study participants to characterize markers of age, aging, extreme longevity, and mortality. We identify 308 metabolites associated with age, 258 metabolites that change over time, 230 metabolites associated with extreme longevity, and 152 metabolites associated with mortality risk. We replicate many associations in independent studies. By summarizing the results into 19 signatures, we differentiate between metabolites that may mark aging-associated compensatory mechanisms from metabolites that mark cumulative damage of aging and from metabolites that characterize extreme longevity. We generate and validate a metabolomic clock that predicts biological age. Network analysis of the age-associated metabolites reveals a critical role of essential fatty acids to connect lipids with other metabolic processes. These results characterize many metabolites involved in aging and point to nutrition as a source of intervention for healthy aging therapeutics.

Indexed as

AgingLongevityAdultAgedAged, 80 and overBiomarkersFemaleHumansMaleMetabolomeMetabolomicsMiddle AgedBiomarkersagingcentenariansCP: Metabolismlongevitymetabolomics

Identifiers

PMID39504246
PMCPMC11656345

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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.