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- Title
Targeted metabolomics analysis of amino acids and acylcarnitines as risk markers for diabetes by LC–MS/MS technique.
- Authors
Hosseinkhani, Shaghayegh; Arjmand, Babak; Dilmaghani-Marand, Arezou; Mohammadi Fateh, Sahar; Dehghanbanadaki, Hojat; Najjar, Niloufar; Alavi-Moghadam, Sepideh; Ghodssi-Ghassemabadi, Robabeh; Nasli-Esfahani, Ensieh; Farzadfar, Farshad; Larijani, Bagher; Razi, Farideh
- 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/m2, and 55% were female. After adjustment, Factor 3 (tyrosine, valine, leucine, methionine, tryptophan, phenylalanine), 5 (C3DC, C5, C5OH, C5:1), 6 (C14OH, C16OH, C18OH, C18:1OH), 8 (C2, C4OH, C8:1), 10 (alanine, proline) and 11 (glutamic acid, C18:2OH) were positively associated with diabetes. Inline, factor 9 (C4DC, serine, glycine, threonine) and 12 (citrulline, ornithine) showed a reverse trend. Some amino acids and acylcarnitines were found as potential risk markers for diabetes incidents that reflected the disturbances in the several metabolic pathways among the diabetic population and could be targeted to prevent, diagnose, and treat diabetes.
- Subjects
AMINO acid analysis; GLUTAMIC acid; DIASTOLIC blood pressure; LIQUID chromatography-mass spectrometry; SYSTOLIC blood pressure; AMINO acids; CITRULLINE
- Publication
Scientific Reports, 2022, Vol 12, Issue 1, p1
- ISSN
2045-2322
- Publication type
Article
- DOI
10.1038/s41598-022-11970-7