Evidence map›Paper›PMID 42781972›Full record

ArticleDiabetes/metabolism research and reviews2026

Metabolite Signatures in Postpartum Prediabetes and Diabetes Among Indian Women With Prior Gestational Diabetes Mellitus: Insights From CHIP-F Study.

Sahil Kapoor, Ambika Singh, Neelam Mahlawat, J Manivannan, Arpita Singh, Shinjini Bhatnagar, Nikhil Tandon, Yashdeep Gupta, Pallavi Kshetrapal

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Article in Diabetes/metabolism research and reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Sahil KapoorLab of Perinatal Research, Department of Maternal and Child Health, BRIC-Translational Health Science and Technology Institute (BRIC-THSTI), Faridabad, Haryana, India.
Ambika SinghLab of Perinatal Research, Department of Maternal and Child Health, BRIC-Translational Health Science and Technology Institute (BRIC-THSTI), Faridabad, Haryana, India.
Neelam MahlawatLab of Perinatal Research, Department of Maternal and Child Health, BRIC-Translational Health Science and Technology Institute (BRIC-THSTI), Faridabad, Haryana, India.
J ManivannanThe Mount Sinai Hospital, New York, New York, USA.
Arpita SinghLab of Perinatal Research, Department of Maternal and Child Health, BRIC-Translational Health Science and Technology Institute (BRIC-THSTI), Faridabad, Haryana, India.
Shinjini BhatnagarLab of Perinatal Research, Department of Maternal and Child Health, BRIC-Translational Health Science and Technology Institute (BRIC-THSTI), Faridabad, Haryana, India.ORCID https://orcid.org/0000-0003-1703-5296
Nikhil TandonDepartment of Endocrinology & Metabolism, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Yashdeep GuptaDepartment of Endocrinology & Metabolism, All India Institute of Medical Sciences (AIIMS), New Delhi, India.ORCID https://orcid.org/0000-0002-4345-717X
Pallavi KshetrapalLab of Perinatal Research, Department of Maternal and Child Health, BRIC-Translational Health Science and Technology Institute (BRIC-THSTI), Faridabad, Haryana, India.ORCID https://orcid.org/0000-0001-6219-5155

Funding

Department of Biotechnology, Ministry of Science and Technology, Government of India BT/PR49993/CMD/150/134/2023Indian Council of Medical Research 55/4/8/CARE-YD/2018-NCD-IIIntramural Grant
6 · The paper itself

Abstract

aimsGestational diabetes mellitus (GDM) increases the risk of postpartum dysglycaemia. This study investigates candidate metabolites and perturbed metabolic pathways associated with postpartum prediabetes/diabetes among high-risk Indian/South-Asian women with prior GDM, a largely unexplored population. MATERIALS AND

methodsIn this nested case-control study within the Cohort of Indian Women with Hyperglycaemia in Pregnancy and their Families (CHIP-F), untargeted metabolomics (UPLC-MS/MS) was performed on plasma samples from 216 women with prior GDM, which included 22 participants with postpartum diabetes, 88 with prediabetes and 106 with normoglycaemia.

resultsUntargeted metabolomics combined with machine learning approach revealed distinct metabolic alterations associated with postpartum dysglycaemia (prediabetes/diabetes) among women with prior GDM. After adjustment for age, body mass index, family history of diabetes, and postpartum duration, each 1-standard deviation increase in the log-transformed concentrations of Tyrosine (aOR = 1.71, 95% CI: 1.01-2.91) and L-Kynurenine (aOR = 1.69, 1.02-2.80) was associated with higher odds of diabetes. Similarly, higher concentrations of 2-Aminoisobutyric acid (aOR = 1.50, 1.09-2.06), Butyrylcarnitine (aOR = 1.99, 1.44-2.75), L-Norleucine (aOR = 1.96, 1.41-2.72), and Propionylcarnitine (aOR = 1.94, 1.41-2.67) were associated with higher odds of prediabetes. Pathway analysis revealed potential dysregulation of aromatic amino acids (AAAs) metabolism in prediabetes. In diabetes, in addition to dysregulation of AAAs, potential lipid metabolic disturbances were also present.

conclusionsThis study identified distinct candidate metabolic signatures associated with postpartum prediabetes and diabetes in Indian/South-Asian women with a history of prior GDM, highlighting early disruptions in AAAs and lipid metabolism.

Indexed as

BiomarkersDiabetes, GestationalDiabetes Mellitus, Type 2Postpartum PeriodPrediabetic StateAdultCase-Control StudiesFemaleFollow-Up StudiesHumansIndiaMetabolomicsPregnancyPrognosisBiomarkersbiomarkerGDMmachine learningmetabolomicspathophysiologypostpartumT2DM

Identifiers

PMID42781972
PMCPMC13602894

What Socratic holds

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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.