Evidence map›Paper›PMID 40693359›Full record

ArticleDiabetes, obesity & metabolism2025

N-lactoyl amino acids are potential biomarkers for insulin resistance and diabetic complications.

Khaled Naja, Asma A Elashi, Najeha Anwardeen, Aleem Razzaq, Laila Hedaya, Shamma Almuraikhy, Ilhame Diboun, Karsten Suhre, Omar AlBagha, Mohamed A Elrayess

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Article in Diabetes, obesity & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Khaled NajaBiomedical Research Center, QU Health, Qatar University, Doha, Qatar.ORCID 0000-0001-9259-3082
Asma A ElashiBiomedical Research Center, QU Health, Qatar University, Doha, Qatar.
Najeha AnwardeenBiomedical Research Center, QU Health, Qatar University, Doha, Qatar.
Aleem RazzaqBiomedical Research Center, QU Health, Qatar University, Doha, Qatar.
Laila HedayaBiomedical Research Center, QU Health, Qatar University, Doha, Qatar.
Shamma AlmuraikhyBiomedical Research Center, QU Health, Qatar University, Doha, Qatar.
Ilhame DibounDepartment of Human Genetics, Sidra Medicine, Doha, Qatar.
Karsten SuhreDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA.
Omar AlBaghaDivision of Genomics and Translational Biomedicine, College of Health and Life Sciences, Hamad Bin Khalifa University (HBKU), Doha, Qatar.ORCID 0000-0001-5916-5983
Mohamed A ElrayessBiomedical Research Center, QU Health, Qatar University, Doha, Qatar.ORCID 0000-0003-3803-4604

Funding

Qatar National Research Fund PPM-06-0516-230030
6 · The paper itself

Abstract

aimsN-lactoyl amino acids (Lac-AA) are emerging as crucial players in metabolic research, with potential implications for disease mechanisms and therapeutic interventions. This study exploress the role of Lac-AA in insulin resistance, type 2 diabetes (T2D), and its complications. MATERIALS AND

methodsA cross-sectional study was conducted using data from 2918 participants from Qatar Biobank. After quality control, 2907 individuals were retained and randomly divided into discovery (n = 1990) and validation (n = 917) cohorts. Untargeted metabolomics was employed to profile serum metabolites, and analysis was focused on three Lac-AA species. Participants were stratified into insulin-sensitive, insulin-resistant, T2D without complications and T2D with complications. Associations with clinical traits were assessed using linear regression and Spearman correlation. Diagnostic performance was evaluated using Receiver Operating Characteristic (ROC) analysis in an independent cohort (n = 60). One-sample Mendelian randomisation was performed to assess causality between genetic predisposition to T2D and Lac-AA levels. Network analysis explored metabolic pathways linked to Lac-AA.

resultsLac-AA levels were significantly higher in individuals with insulin resistance and diabetic complications. These findings were robustly replicated in the validation cohort. These metabolites showed strong positive correlations with markers of poor glycaemic control independent of metformin use. ROC analysis demonstrated that Lac-AA could discriminate between insulin-resistant and insulin-sensitive individuals. Mendelian randomisation analysis indicated a potential causal association between genetic risk for T2D and increased Lac-AA, particularly in patients with complications, supporting their role as downstream biomarkers of metabolic disease severity. Gaussian graphical model analysis revealed Lac-AA as central nodes in metabolic networks, showing strong associations with mitochondrial dysfunction biomarkers.

conclusionsLac-AA may serve as integrative biomarkers of metabolic dysfunction and diabetic complications. Further longitudinal and interventional studies are needed to clarify their mechanistic roles and clinical utility.

Indexed as

Amino AcidsDiabetes ComplicationsDiabetes Mellitus, Type 2Insulin ResistanceAdultAgedBiomarkersCross-Sectional StudiesFemaleHumansMaleMendelian Randomization AnalysisMetabolomicsMiddle AgedQatarAmino AcidsBiomarkersinsulin resistanceMendelian randomisationmetabolomicsN‐lactoyl amino acidstype 2 diabetes

Identifiers

PMID40693359
PMCPMC12409262

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