Evidence map›Paper›PMID 33755745›Full record

Observational studyDiabetologia2021

Postpartum circulating microRNA enhances prediction of future type 2 diabetes in women with previous gestational diabetes.

Mugdha V Joglekar, Wilson K M Wong, Fahmida K Ema, Harry M Georgiou, Alexis Shub, Anandwardhan A Hardikar, Martha Lappas

Open access · bronzeAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Diabetologia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
4.1field-weighted citation impact, top 5% 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, 4 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Prediction Models for Maternal and Offspring Short- and Long-Term Outcomes Following Gestational Diabetes: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
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  9. The role of microRNAs in pregnancies complicated by maternal diabetes.Clinical science (London, England : 1979) · 2024
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  16. Pregnancy as an opportunity to prevent type 2 diabetes mellitus: FIGO Best Practice Advice.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2023
    Review
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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

7 authors at 4 institutions in 2 countries.

Mugdha V JoglekarDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, NSW, Australia.ORCID https://orcid.org/0000-0001-5346-2266
Wilson K M WongDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, NSW, Australia.ORCID https://orcid.org/0000-0001-7736-6834
Fahmida K EmaDiabetes and Islet Biology Group, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia.
Harry M GeorgiouDepartment of Obstetrics and Gynaecology, University of Melbourne, Mercy Hospital for Women, Heidelberg, VIC, Australia.ORCID https://orcid.org/0000-0003-0553-9489
Alexis ShubDepartment of Obstetrics and Gynaecology, University of Melbourne, Mercy Hospital for Women, Heidelberg, VIC, Australia.ORCID https://orcid.org/0000-0001-9719-5753
Anandwardhan A HardikarDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, NSW, Australia. A.Hardikar@westernsydney.edu.au.ORCID https://orcid.org/0000-0001-5587-2090
Martha LappasObstetrics, Nutrition and Endocrinology Group, Department of Obstetrics and Gynaecology, University of Melbourne, Heidelberg, VIC, Australia. mlappas@unimelb.edu.au.ORCID https://orcid.org/0000-0002-4744-6929
The University of Melbourne · AUCamden and Campbelltown Hospitals · AURoskilde University · DKThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisType 2 diabetes mellitus is a major cause of morbidity and death worldwide. Women with gestational diabetes mellitus (GDM) have greater than a sevenfold higher risk of developing type 2 diabetes in later life. Accurate methods for postpartum type 2 diabetes risk stratification are lacking. Circulating microRNAs (miRNAs) are well recognised as biomarkers/mediators of metabolic disease. We aimed to determine whether postpartum circulating miRNAs can predict the development of type 2 diabetes in women with previous GDM.

methodsIn an observational study, plasma samples were collected at 12 weeks postpartum from 103 women following GDM pregnancy. Utilising a discovery approach, we measured 754 miRNAs in plasma from type 2 diabetes non-progressors (n = 11) and type 2 diabetes progressors (n = 10) using TaqMan-based real-time PCR on an OpenArray platform. Machine learning algorithms involving penalised logistic regression followed by bootstrapping were implemented.

resultsFifteen miRNAs were selected based on their importance in discriminating type 2 diabetes progressors from non-progressors in our discovery cohort. The levels of miRNA miR-369-3p remained significantly different (p < 0.05) between progressors and non-progressors in the validation sample set (n = 82; 71 non-progressors, 11 progressors) after adjusting for age and correcting for multiple comparisons. In a clinical model of prediction of type 2 diabetes that included six traditional risk factors (age, BMI, pregnancy fasting glucose, postpartum fasting glucose, cholesterol and triacylglycerols), the addition of the circulating miR-369-3p measured at 12 weeks postpartum improved the prediction of future type 2 diabetes from traditional AUC 0.83 (95% CI 0.68, 0.97) to an AUC 0.92 (95% CI 0.84, 1.00).

conclusionsThis is the first demonstration of miRNA-based type 2 diabetes prediction in women with previous GDM. Improved prediction will facilitate early lifestyle/drug intervention for type 2 diabetes prevention.

Indexed as

AdolescentAdultAustraliaBiomarkersCirculating MicroRNACohort StudiesDiabetes, GestationalDiabetes Mellitus, Type 2FemaleFollow-Up StudiesHumansInfant, NewbornPostpartum PeriodPregnancyPrognosisRisk FactorsBiomarkersCirculating MicroRNACirculating biomarkersGestational diabetesMachine learningmicroRNAsObservational cohortOGTTPostpartumReal-time PCRReceiver operating characteristic (ROC) curveRisk predictionType 2 diabetes

Identifiers

PMID33755745
OpenAlexW3138611526

What OpenQuestion holds

Textmetadata
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.