ArticleScientific reports2022
Targeted metabolomics analysis of amino acids and acylcarnitines as risk markers for diabetes by LC-MS/MS technique.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.
- Environmental Planning and Non-Communicable Diseases: A Systematic Review on the Role of the Metabolomic Profile.International journal of environmental research and public health · 2023Pooled it
- Article
- Integrating mass spectrometry imaging and data-driven segmentation for spatial metabolic mapping of diabetic eye disease.Journal of pharmaceutical analysis · 2026Article
- Progressive Metabolic Dysregulation from Prediabetes to Diabetes Revealed by Untargeted Metabolomics.International journal of molecular sciences · 2026Article
- Branched-Chain and Aromatic Amino Acids Mark Early Metabolic Shifts in Adults with Varying Adiposity.International journal of molecular sciences · 2026Article
- Gut microbiota composition and functional pathways associated with metabolic syndrome in Mexican adult women: cross-sectional analysis.BMC microbiology · 2026Article
- Metabolic inflexibility across heart failure phenotypes: mechanisms and type-specific therapeutic implications.Apoptosis : an international journal on programmed cell death · 2026Review
- Integrative Metabolomics of Targeted and Nontargeted Analyses in T2D Progression.Diabetes care · 2026Article
- Biomarkers of Cardiac Metabolic Flexibility in Health, HFrEF and HFpEF.International journal of molecular sciences · 2026Review
- From albuminuria to multi-omics signatures: emerging biomarkers and drug targets for early-stage chronic kidney disease.Frontiers in pharmacology · 2026Review
- Impact of Immune Cells on IgA Vasculitis via Metabolites and Inflammatory Cytokines.Journal of clinical immunology · 2025Article
- Glycine receptor activation promotes pancreatic islet cell proliferation via the PI3K/mTORC1/p70S6K pathway.JCI insight · 2025Article
- Metabolic profiling reveals altered amino acid and fatty acid metabolism in children with Williams Syndrome.Scientific reports · 2024Article
- Spermidine mediates acetylhypusination of RIPK1 to suppress diabetes onset and progression.Nature cell biology · 2024Article
- The effect of high-intensity interval training on type 2 diabetic muscle: A metabolomics-based study.Heliyon · 2024Article
- Metabolomics for Clinical Biomarker Discovery and Therapeutic Target Identification.Molecules (Basel, Switzerland) · 2024Review
- Metabolomics Signature in Prediabetes and Diabetes: Insights From Tandem Mass Spectrometry Analysis.Endocrinology, diabetes & metabolism · 2024Article
- LC-MS/MS-based bioanalysis of branched-chain and aromatic amino acids in human serum.Bioanalysis · 2024Article
- Lipidomics Profiling of Metformin-Induced Changes in Obesity and Type 2 Diabetes Mellitus: Insights and Biomarker Potential.Pharmaceuticals (Basel, Switzerland) · 2023Article
- Quantitative profiling and diagnostic potential of one-carbon and central metabolism pools in MODY2 and T1DM.Diabetology & metabolic syndrome · 2023Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetes is a common chronic disease affecting millions of people worldwide. It underlies various complications and imposes many costs on individuals and society. Discovering early diagnostic biomarkers takes excellent insight into preventive plans and the best use of interventions. Therefore, in the present study, we aimed to evaluate the association between the level of amino acids and acylcarnitines and diabetes to develop diabetes predictive models. Using the targeted LC-MS/MS technique, we analyzed fasting plasma samples of 206 cases and 206 controls that were matched by age, sex, and BMI. The association between metabolites and diabetes was evaluated using univariate and multivariate regression analysis with adjustment for systolic and diastolic blood pressure and lipid profile. To deal with multiple comparisons, factor analysis was used. Participants' average age and BMI were 61.6 years, 28.9 kg/m
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