Evidence map›Paper›PMID 36734879›Full record

ArticleAging2023

Metformin use history and genome-wide DNA methylation profile: potential molecular mechanism for aging and longevity.

Pedro S Marra, Takehiko Yamanashi, Kaitlyn J Crutchley, Nadia E Wahba, Zoe-Ella M Anderson, Manisha Modukuri, Gloria Chang, Tammy Tran, Masaaki Iwata, Hyunkeun Ryan Cho and 1 more

Abstract read
In one paragraph

Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Potential Noninvasive Biomarkers to Assess the Aging Process.Expert reviews in molecular medicine · 2025
    Review
  3. Article
  4. Article
  5. Energy metabolism in health and diseases.Signal transduction and targeted therapy · 2025
    Review
  6. Article
  7. Article
  8. Review
  9. 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

11 authors.

Pedro S MarraDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA 94304, USA.
Takehiko YamanashiDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA 94304, USA.
Kaitlyn J CrutchleyDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA 94304, USA.
Nadia E WahbaDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA.
Zoe-Ella M AndersonDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA.
Manisha ModukuriDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA.
Gloria ChangDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA.
Tammy TranDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA.
Masaaki IwataDepartment of Neuropsychiatry, Tottori University Faculty of Medicine, Yonago-shi, Tottori 680-8550, Japan.
Hyunkeun Ryan ChoDepartment of Biostatistics, University of Iowa College of Public Health, Iowa City, IA 52242, USA.
Gen ShinozakiDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA 94304, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetformin, a commonly prescribed anti-diabetic medication, has repeatedly been shown to hinder aging in pre-clinical models and to be associated with lower mortality for humans. It is, however, not well understood how metformin can potentially prolong lifespan from a biological standpoint. We hypothesized that metformin's potential mechanism of action for longevity is through its epigenetic modifications.

methodsTo test our hypothesis, we conducted a post-hoc analysis of available genome-wide DNA methylation (DNAm) data obtained from whole blood collected from inpatients with and without a history of metformin use. We assessed the methylation profile of 171 patients (first run) and only among 63 diabetic patients (second run) and compared the DNAm rates between metformin users and nonusers.

resultsEnrichment analysis from the Kyoto Encyclopedia of Genes and Genome (KEGG) showed pathways relevant to metformin's mechanism of action, such as longevity, AMPK, and inflammatory pathways. We also identified several pathways related to delirium whose risk factor is aging. Moreover, top hits from the Gene Ontology (GO) included HIF-1α pathways. However, no individual CpG site showed genome-wide statistical significance (

conclusionThis study may elucidate metformin's potential role in longevity through epigenetic modifications and other possible mechanisms of action.

Indexed as

LongevityMetforminAgingDNADNA MethylationEpigenesis, GeneticHumansDNAMetforminagingdiabetesepigeneticsinflammationlongevitymetforminmethylation

Identifiers

PMID36734879
PMCPMC9970305

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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.