Evidence map›Paper›PMID 40790364›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2025

Early metabolic predictors of type 2 diabetes mellitus in normoglycemic adults: insights from six-year prospective cohort study.

Gopika Satheesh, Aneesh K Asokan, Gadadharan Vijayakumar, Mahesh Chandran, Arun Surendran, Leena Simon, Abdul Jaleel

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Article in Metabolomics : Official journal of the Metabolomic Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Gopika SatheeshCardiovascular Diseases and Diabetes Biology, BRIC-Rajiv Gandhi Centre for Biotechnology (BRIC-RGCB), Thiruvananthapuram, Kerala, 695014, India.
Aneesh K AsokanCardiovascular Diseases and Diabetes Biology, BRIC-Rajiv Gandhi Centre for Biotechnology (BRIC-RGCB), Thiruvananthapuram, Kerala, 695014, India.
Gadadharan VijayakumarMedical Trust Hospital and Diabetes Care Centre, Kulanada, Pathanamthitta, India.
Mahesh ChandranDBT-SAHAJ National Facility for Mass Spectrometry-Based Proteomics, Metabolomics and Lipidomics Platforms, BRIC-Rajiv Gandhi Centre for Biotechnology (BRIC-RGCB), Thiruvananthapuram, Kerala, 695014, India.
Arun SurendranDBT-SAHAJ National Facility for Mass Spectrometry-Based Proteomics, Metabolomics and Lipidomics Platforms, BRIC-Rajiv Gandhi Centre for Biotechnology (BRIC-RGCB), Thiruvananthapuram, Kerala, 695014, India.
Leena SimonMedical Trust Hospital and Diabetes Care Centre, Kulanada, Pathanamthitta, India.
Abdul JaleelCardiovascular Diseases and Diabetes Biology, BRIC-Rajiv Gandhi Centre for Biotechnology (BRIC-RGCB), Thiruvananthapuram, Kerala, 695014, India. jaleel@rgcb.res.in.ORCID http://orcid.org/0000-0003-2536-9093

Funding

Department of Biotechnology, Ministry of Science and Technology, Government of India BT/PR8444/MED/30/1021/2013
6 · The paper itself

Abstract

introductionType 2 Diabetes mellitus (T2DM) is a chronic metabolic disorder characterized by insulin resistance and hyperglycemia, often preceded by latent metabolic disruptions. Early detection of metabolic alterations can facilitate timely intervention to delay or prevent T2DM onset. Metabolic profiling offers a useful tool to identify novel biomarkers and early metabolic alterations before clinical manifestations.

objectiveThis study aimed to identify early metabolic alterations and potential biomarkers predictive of T2DM in a cohort of healthy normoglycemic participants over a six-year follow-up.

methodsA cohort of 94 healthy participants, both men and women aged 18-40, was studied at six-year intervals. Clinical and biochemical parameters were measured, and LC/MS/MS-based untargeted metabolomics analysis of plasma was performed at both baseline and follow-up.

resultsAt follow-up, 9 participants developed T2DM, 51 had prediabetes, and 34 remained normoglycemic. Increasing insulin resistance and elevated future T2DM risk were observed in both the prediabetes and normoglycemia groups. Metabolomics analysis identified phosphatidylethanolamine (PE) (20:3_18:0), 3beta,7alpha-dihydroxy-5-cholestenoate, and tridecanoic acid-as having good predictive capacity for future T2DM risk at baseline with alterations in PE (20:3_18:0), and tridecanoic acid persisting at follow-up.

conclusionThe study highlights the potential of metabolomics in identifying early metabolic predictors of T2DM, emphasizing the need for early interventions in healthy normoglycemic young adults.

Indexed as

Diabetes Mellitus, Type 2MetabolomicsAdolescentAdultBiomarkersBlood GlucoseCohort StudiesFemaleFollow-Up StudiesHumansInsulin ResistanceMalePrediabetic StateProspective StudiesTandem Mass SpectrometryYoung AdultBiomarkersBlood GlucoseInsulin resistancePrediabetesType 2 diabetes mellitusUntargeted metabolomics

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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.