Evidence map›Paper›PMID 41713507›Full record

ArticleDiabetes research and clinical practice2026

MicroRNAs modify relationships between hemoglobin A1c and race and ethnicity.

Benjamin M Stroebel, Bradley E Aouizerat, Kayla D Longoria, Meghana Gadgil, Elena Flowers

Abstract read
In one paragraph

Article in Diabetes research and clinical practice, 2026. 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
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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

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

5 authors.

Benjamin M StroebelDepartment of Physiological Nursing, School of Nursing, University of California, 490 Illinois Street, Floor 12 San Francisco CA 94143, USA.
Bradley E AouizeratNew York University, Translational Research Center, 345 E 24(th) Street, New York, NY 10010, USA; New York University, Department of Oral and Maxillofacial Surgery, New York, NY, USA.
Kayla D LongoriaDepartment of Physiological Nursing, School of Nursing, University of California, 490 Illinois Street, Floor 12 San Francisco CA 94143, USA.
Meghana GadgilUniversity of California, Department of Medicine, Division of General Internal Medicine, 1545 Divisadero Street #311, San Francisco, CA 94115, USA.
Elena FlowersDepartment of Physiological Nursing, School of Nursing, University of California, 490 Illinois Street, Floor 12 San Francisco CA 94143, USA; Institute for Human Genetics, University of California, San Francisco, USA. Electronic address: elena.flowers@ucsf.edu.

Funding

The Impact of Interventions to Treat Incident Diabetes on Circulating microRNAs in the Diabetes Prevention ProgramR01DK124228 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FLOWERS, ELENA · 2020 to 2023
$2.3M
Mentorship of Individuals from Historically Under-Represented Groups in Health Sciences ResearchK26DK138247 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Elena Flowers · 2023 to 2026
$281k
NIDDK NIH HHS K26 DK138247NIDDK NIH HHS R01 DK124228
6 · The paper itself

Abstract

aimsTo identify microRNAs that modify associations between categories of race and ethnicity and HbA1c, and to identify associated extrinsic factors and biological mechanism through which this modification may occur.

methodsThis study was a secondary analysis of the DPP trial, featuring 1000 participants with microRNA data available at baseline, and a subset of 150 with longitudinal microRNA data. Modification of relationships between categories of race and ethnicity and HbA1c by microRNAs were assessed cross-sectionally with linear models, and longitudinally with linear mixed models. In-silico analyses were performed to identify target mRNAs and pathways of identified modifying miRs. Linear models were used to assess for relationships between socioenvironmental variables and modifying miRs in an exploratory analysis.

resultswe identified one microRNA that modified associations between categories of race and ethnicity and HbA1c at baseline (miR-29b) and two that showed longitudinal modifications (miR-92a, miR-146a). MiroRNAs that modified relationships between HbA1c and categories of race and ethnicity were also associated with socioenvironmental factors including nutrition, income, education, and exercise in exploratory models.

conclusionsWe identified microRNAs that modify associations between self-reported categories of race and ethnicity and HbA1c, potentially reflecting confounding of theses associations by socioenvironmental factors, geographic ancestry, and other individual-level characteristics.

Indexed as

Diabetes Mellitus, Type 2EthnicityGlycated HemoglobinMicroRNAsRacial GroupsCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedGlycated Hemoglobinhemoglobin A1c protein, humanMicroRNAsEthnicityHbA1cMicroRNAPathway analysisPrediabetesRace

Identifiers

PMID41713507
PMCPMC13218367

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.