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    Home > Medical News > Medical World 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: 2020-07-08
    • Source: Internet
    • Author: User
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    Gestational diabetes (GDM) refers to abnormal glucose tolerance first detected during pregnancy, and most pregnant women with the disease can return to normal blood sugar levels after childbirthWomen with a History of GDM have a seven-fold higher risk of type 2 diabetes (T2D) than women without GDM, and have a higher risk of high blood pressure and cardiovascular diseaseGlucose tolerance is currently recommended to be reclassified after childbirth, but the acceptance rate is less than 40%There is an urgent need to develop a more convenient and accurate method to assess glucose tolerance and to predict early development towards T2D after GDM recovery, a team of researchers from the University of Toronto School of Medicine in Canada, based on a study of metabolic groups, found that metabolic abnormalities in the blood can predict the progression of GDM toward T2D in early post-partum periods, in particular the increase of amino acids (AAs) and dikyl-glycerides, as well as the decline of argoninandyl-alkyl-glycelipidsThe findings were published May 20 in the journal Plos MedicineThe researchers conducted blood samples and eight years of electronic case follow-up to 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-glycemUsing KEGG to analyze the molecular pathways of T2D attacks and the biological pathways affected, the researchers 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 enhancedThe researchers also conducted longitudinal analyses to track metabolic changes in the movement of T2D in the body 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 processIn short, the study established an integrated metabolic spectrum during the transition from GDM to new T2D based on differentially expressed metabolites, and found metabolic abnormalities of carbohydrates, AA, carnine, and lipids at baseline (post-partum) in Women who progressed with T2DAnd that could be a new way to accurately predict T2D, bringing the discovery of diabetes 10 years earlier
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