Evidence map›Paper›PMID 32785805›Full record

ArticleBiogerontology2020

MetaboAge DB: a repository of known ageing-related changes in the human metabolome.

Teodora Bucaciuc Mracica, Anca Anghel, Catalin Florentin Ion, Corina Violeta Moraru, Robi Tacutu, Gligor Andrei Lazar

Open access · hybridAbstract read
In one paragraph

Article in Biogerontology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

21 citing papers in PubMed, 25 citations in OpenAlex.

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  7. Metabolomic-based aging clocks.npj metabolic health and disease · 2025
    Review
  8. Multiomics of Aging and Aging-Related Diseases.International journal of molecular sciences · 2024
    Review
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  14. Biomarkers of aging.Science China. Life sciences · 2023
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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

6 authors at 2 institutions in 1 country.

Teodora Bucaciuc MracicaSystems Biology of Aging Group, Institute of Biochemistry, Romanian Academy, Bucharest, Romania.
Anca AnghelReverse Senescence Biotechnologies SRL, Campia Turzii, Romania.
Catalin Florentin IonSystems Biology of Aging Group, Institute of Biochemistry, Romanian Academy, Bucharest, Romania.
Corina Violeta MoraruReverse Senescence Biotechnologies SRL, Campia Turzii, Romania.
Robi TacutuSystems Biology of Aging Group, Institute of Biochemistry, Romanian Academy, Bucharest, Romania. robi.tacutu@gmail.com.ORCID 0000-0001-5853-2470
Gligor Andrei LazarReverse Senescence Biotechnologies SRL, Campia Turzii, Romania.
Institute of Biochemistry · ROUniversity of Bucharest · RO

Funding

Autoritatea Natională pentru Cercetare Stiintifică P_37_778
6 · The paper itself

Abstract

Accumulating metabolomics data is starting to become extremely useful in understanding the ageing process, by providing a snapshot into the metabolic state of tissues and organs, at different ages. Molecular studies of such metabolic variations during "normal" ageing can hence guide lifestyle changes and/or medical interventions aimed at improving healthspan and perhaps even lifespan. In this work, we present MetaboAge, a freely accessible database which hosts ageing-related metabolite changes, occurring in healthy individuals. Data is automatically filtered and then manually curated from scientific articles reporting statistically significant associations of human metabolite variations or correlations with ageing. Up to date, MetaboAge contains 408 metabolites annotated with their biological and chemical information, and more than 1515 ageing-related variations, graphically represented on the website grouped by validation methods, sex and age-groups. The MetaboAge database aims to continually structure the expanding information from the field of metabolomics in relation to ageing, thus making it more accessible for further research in gerontology.

Indexed as

AgingDatabases, FactualMetabolomeMetabolomicsHumansAgeingDatabaseMetabolite variationMetabolomics

Identifiers

PMID32785805
PMCPMC7541382
OpenAlexW3048623893

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.