Evidence map›Paper›PMID 41000658›Full record

ArticlebioRxiv : the preprint server for biology2025

METABOLOMIC SIGNATURES OF EXTREME OLD AGE: FINDINGS FROM THE NEW ENGLAND CENTENARIAN STUDY.

Stefano Monti, Michael S Lustgarten, Ziwei Huang, Zeyuan Song, Dylan Ellis, Qu Tian, Luigi Ferrucci, Noa Rappaport, Stacy L Andersen, Thomas P Perls and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Stefano MontiSection of Computational Biomedicine, Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02118.ORCID 0000-0002-9376-0660
Michael S LustgartenFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.ORCID 0000-0003-1262-784X
Ziwei HuangSection of Computational Biomedicine, Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02118.
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.ORCID 0000-0001-9984-5158
Qu TianLongitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA.
Luigi FerrucciLongitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA.ORCID 0000-0002-6273-1613
Noa RappaportInstitute for Systems Biology, Seattle, WA 98109, USA.ORCID 0000-0001-8643-2055
Stacy L AndersenDepartment of Medicine, Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02118, USA.ORCID 0000-0002-2442-6386
Thomas P PerlsDepartment of Medicine, Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02118, USA.ORCID 0000-0002-2492-4334
Paola SebastianiInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA 02111, USA.ORCID 0000-0001-6419-1545

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
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
Protein Signatures of APOE2 and Cognitive AgingR01AG061844 · NIA · TUFTS MEDICAL CENTER · PI PERLS, THOMAS T, SEBASTIANI, PAOLA · 2018 to 2022
$3.1M
NIA NIH HHS R01 AG061844NIA NIH HHS U19 AG023122NIA NIH HHS U19 AG063893NIA NIH HHS UH2 AG064704
6 · The paper itself

Abstract

The New England Centenarian Study (NECS) provides a unique resource for the study of extreme human longevity (EL). To gain insight into biological pathways related to EL, chronological age and survival, we used an untargeted serum metabolomic approach (> 1,400 metabolites) in 213 NECS participants, followed by integration of our findings with metabolomic data from four additional studies. Compared to their offspring and matched controls, EL individuals exhibited a distinct metabolic profile characterized by higher levels of primary and secondary bile acids - most notably chenodeoxycholic acid (CDCA) and lithocholic acid (LCA) - higher levels of biliverdin and bilirubin, and stable levels of selected steroids. Notably, elevated levels of both bile acids and steroids were associated with lower mortality. Several metabolites associated with age and survival were inversely associated with metabolite ratios related to NAD+ production and/or levels (tryptophan/kynurenine, cortisone/cortisol), gut bacterial metabolism (ergothioneine/ trimethylamine N-oxide, aspartate/quinolinate), and oxidative stress (methionine/methionine sulfoxide), implicating these pathways in aging and/or longevity. We further developed a metabolomic clock predictive of biological age, with age deviations significantly associated with mortality risk. Key metabolites predictive of biological aging, such as taurine and citrate, were not captured by traditional age analyses, pointing to their potential role as biomarkers for healthy aging. These results highlight metabolic pathways that may be targeted to promote metabolic resilience and healthy aging.

Identifiers

PMID41000658
PMCPMC12458293

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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.