Evidence map›Paper›PMID 37259015›Full record

ArticleGeroScience2023

A metabolomic signature of decelerated physiological aging in human plasma.

Georges E Janssens, Lotte Grevendonk, Bauke V Schomakers, Ruben Zapata Perez, Michel van Weeghel, Patrick Schrauwen, Joris Hoeks, Riekelt H Houtkooper

Open access · hybridAbstract read
In one paragraph

Article in GeroScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 20% of its field
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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Human whole-blood NADNature metabolism · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Glucosinolates from Seed-Press Cake ofAntioxidants (Basel, Switzerland) · 2025
    Article
  9. Article
  10. Review
  11. Analysis of COPD: Distinguishing Characteristics and Management of Smoking vs Never Smoking Patients.International journal of chronic obstructive pulmonary disease · 2024
    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

8 authors at 4 institutions in 2 countries.

Georges E JanssensLaboratory Genetic Metabolic Diseases, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands. g.e.janssens@amsterdamumc.nl.ORCID 0000-0003-2104-8145
Lotte GrevendonkDepartment of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, 6200 MD, Maastricht, The Netherlands.
Bauke V SchomakersLaboratory Genetic Metabolic Diseases, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Ruben Zapata PerezLaboratory Genetic Metabolic Diseases, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Michel van WeeghelLaboratory Genetic Metabolic Diseases, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Patrick SchrauwenDepartment of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, 6200 MD, Maastricht, The Netherlands.
Joris HoeksAmsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam, The Netherlands.
Riekelt H HoutkooperLaboratory Genetic Metabolic Diseases, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands. r.h.houtkooper@amsterdamumc.nl.
Amsterdam University Medical Centers · NLMaastricht University · NLAmsterdam University of Applied Sciences · NLGGD Amsterdam · NL

Funding

ZonMw VENIZonMw VIDI 91715305
6 · The paper itself

Abstract

The degenerative processes that occur during aging increase the risk of disease and impaired health. Meanwhile, interventions that target aging to promote healthy longevity are gaining interest, both academically and in the public. While nutritional and physical interventions exist, efficacy is often difficult to determine. It is therefore imperative that an aging score measuring the biological aging process is available to the wider public. However, simple, interpret, and accessible biological aging scores are lacking. Here, we developed PhysiAge, a physiological aging score based on five accessible parameters that have influence on or reflect the aging process: (1) average daily step count, (2) blood glucose, (3) systolic blood pressure, (4) sex, and (5) age. Here, we found that compared to calendar age alone, PhysiAge better predicts mortality, as well as established muscle aging markers such as decrease in NAD

Indexed as

AgingLongevityAgedHumansMetabolomicsOxidative StressPlasmaAging clockAging interventionsCitrateHealthy longevityIsocitrateMalateMetabolomicsPhysiAgePhysiological agingTCA cycle

Identifiers

PMID37259015
PMCPMC10643795
OpenAlexW4378907182

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.