Evidence map›Paper›PMID 39480690›Full record

ArticleJournal of diabetes investigation2025

Serum metabolomics signature of maternally inherited diabetes and deafness by gas chromatography-time of flight mass spectrometry.

Baige Cao, Huijuan Lu, Peng Liu, Yinan Zhang, Congrong Wang

Abstract read
In one paragraph

Article in Journal of diabetes investigation, 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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2 · The registry

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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

5 authors.

Baige CaoDepartment of Endocrinology & Metabolism, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID https://orcid.org/0000-0002-7360-015X
Huijuan LuDepartment of Endocrinology and Metabolism, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Peng LiuDepartment of Endocrinology and Metabolism, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yinan ZhangThe Metabolic Disease Biobank, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Congrong WangDepartment of Endocrinology & Metabolism, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID https://orcid.org/0000-0002-8645-1114

Funding

Key discipline project of Hongkou District Health Commission HKLCFC202403National Natural Science Foundation of China 82070913,82471893Open research project of Shanghai Key Laboratory of Diabetes Mellitus SHKLD-KF-2101Research fund from Shanghai Fourth People's Hospital sykyqd01801,SY-XKZT-2021-1001Shanghai Research Center for Endocrine and Metabolic Diseases 2022ZZ01002
6 · The paper itself

Abstract

AIMS/

introductionThe aim of this study was to identify a metabolic signature of MIDD as compared to healthy controls and other types of diabetes.

methodsWe performed a comprehensive serum metabolomic analysis using gas chromatography-time of flight mass spectrometry (GC-TOFMS) in participants diagnosed with MIDD (n = 14), latent autoimmune diabetes in adults (LADA) (n = 14), type 2 diabetes mellitus (n = 14), and healthy controls (n = 14). Each group was matched for gender and age.

resultsThere were significant metabolic differences among MIDD and other diabetic and control groups. Compared with control, MIDD patients had high levels of carbohydrates (glucose, galactose, mannose, sorbose, and maltose), fatty acids (2-Hydroxybutyric acid, eicosapentaenoic acid, and octadecanoic acid), and other metabolites (alanine, threonic acid, cholesterol, lactic acid, and gluconic acid), but low level of threonine. Compared with LADA, MIDD patients had high levels of threonic acid and some amino acids (alanine, tryptophan, histidine, proline, glutamine, and creatine) but low levels of serine. Compared with type 2 diabetes mellitus, MIDD patients had high levels of citrulline, creatine, 3-Amino-2-piperidone, but low levels of ornithine, fatty acids (arachidonic acid and octadecanoic acid), and intermediates of the tricarboxylic acid cycle (malic acid and succinic acid).

conclusionsOur study identified a specific metabolic profile related to glycolysis and the tricarboxylic acid cycle in MIDD that differs from healthy controls and other types of diabetes. This unique metabolic signature provides new perspectives for understanding the pathophysiology and underlying mechanisms of MIDD.

Indexed as

DeafnessDiabetes Mellitus, Type 2Gas Chromatography-Mass SpectrometryMetabolomicsAdultBiomarkersCase-Control StudiesDiabetes Mellitus, Type 1FemaleHumansMaleMetabolomeMiddle AgedMitochondrial DiseasesYoung AdultBiomarkersDiabetesMitochondrial DNA 3243A>G mutationSerum metabolomics

Identifiers

PMID39480690
PMCPMC11693542

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