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    Home > Biochemistry News > Biotechnology News > Abnormal metabolites in the blood or permit 10 years in advance to detect type 2 diabetes!

    Abnormal metabolites in the blood or permit 10 years in advance to detect type 2 diabetes!

    • Last Update: 2020-07-12
    • Source: Internet
    • Author: User
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    Recently, a team of researchers from the University of Toronto School of Medicine in Canada, based on a metabolomic study, found that metabolic abnormalities in the blood can predict the progression of GDM towards T2D in early post-partum periods, in particular the increase of amino acids (AAs) and dikyl-glycel, as well as the decline of argon and argon-based-alky-glycephosphateThe findings were published May 20 in the journal Plos Medicineresearchers conducted blood samples and eight years of electronic case follow-up follow-up on 1,033 women who were diagnosed with GDM but did not have T2D at baseline, 173 of whom had T2D events after the baselineA control group of 173 T2D cases and 485 BMI/age/race matching, and 337 of the same participants (98 T2D cases and 239 control groups) were subjected to metabolic group studiesbased on a literature review, a total of 141 metabolites related to T2D were selected for detection and quantitative difference analysis, after adjusting race, age and BMI, a total of 37 metabolites expressed in the difference between T2D cases and non-T2D case control were identified, of which 23 were raised and 14 were loweredAmong them, the increase of herself-sugar was most significant, with the non-T2D group being 5.45 to 0.8 mM and the T2D case group being 6.10 to 0.1 mMIn addition, there was a significant increase in 11 amino acids (AAs), diamide-glycem, glycinite (AC3 and AC10) and bioamines (subamines) in women with T2D, while the reduction of argon and mystyl-alkyl-glycemmetabolic characteristics and models for predicting future type 2 diabetes
    researchers used KEGG to analyze the molecular pathways of T2D attacks and the biological pathways affected, and found that BCAA biosynthesis and degradation pathways in T2D cases were the most abundantAt baseline, AA metabolism, arginine/proline metabolism and branch chain AA (BCAA) metabolism were increasedIn follow-up after T2D attack, the increase of AA and the reduction of argon-alkyl-glycephin were maintained or enhancedmetabolites and pathways associated with future type 2 diabetes (T2D) at baselines
    the researchers also conducted longitudinal analysis to track metabolic changes in the body's T2D progression from baseline to follow-up for 2 yearsBy establishing a predictive model, the results show that only 10 metabolites are associated with the progression of T2D and that it involves AA and phospholipid metabolism, in addition, most metabolic changes remain at the baseline throughout the T2D processthe metabolites associated with type 2 diabetes (T2D) at follow-upin short, the study established an integrated metabolic spectrum during the transition from GDM to new T2D based on differentially expressed metabolites, and found baseline (postpartum) metabolic abnormalities of carbohydrates, AA, lanalytical carnitine and lipids in GDM women who progressed with T2DAnd that could be a new way to accurately predict T2D, bringing the discovery of diabetes 10 years earlier References: samino acid and lipids metabolism inpostgestational diabetes and progression to type 2 diabetes: A-saejprofiling study 2 s 2 s 2, about 70% of gestational diabetes, after 10 years will become type 2 diabetes
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