Time‐based investigation of urinary metabolic markers for Type 2 diabetes: Metabolomics approach for diabetes management. (9th April 2021)

• Record Type: Journal Article
• Authors: Hanafy, Moataz M.; Lindeque, Jeremie Z.; El‐Maraghy, Shohda A.; Abdel‐Hamid, Abdel‐Hamid Z.; Shahin, Nancy N.
• Is Part Of: BioFactors. Volume 47:Number 4(2021)
• Page Start: 645
• Page End: 657
• Publication Date: 2021-04-09
• Subjects: H1‐NMR -- metabolomics -- type 2 diabetes -- urinary metabolic biomarkers; Vitamins -- Physiological effect -- Periodicals; Trace elements -- Physiological effect -- Periodicals; Growth factors -- Physiological effect -- Periodicals; Plant growth promoting substances -- Physiological effect -- Periodicals; Biochemistry -- Periodicals; Nutritional Physiological Phenomena -- Periodicals; Trace Elements -- metabolism -- Periodicals; Vitamins -- metabolism -- Periodicals; Molecular Biology -- Periodicals; 612.399
• DOI: 10.1002/biof.1731
• Languages: English
• ISSNs: 0951-6433

Abstract

Abstract: Diabetes is considered one of the most important health emergencies worldwide and Egypt has 8.2 million diabetic patients according to the International Diabetes Federation report in 2017. The objective of this study was to monitor the time‐course variation in the metabolic profile of diabetic rats to detect urinary metabolic biomarkers using the metabolomics approach. Type 2 diabetes was induced in male Wistar albino rats using a single intraperitoneal injection of 40 mg/kg of streptozotocin following oral administration of 10% fructose in drinking water for 3 weeks. Then, urine was collected for 24 h from rats at three time points (0, 2, and 4 weeks after confirmation of diabetes), and were analyzed by nuclear magnetic resonance (H 1 ‐NMR), followed by multivariate data analysis. The results from H 1 ‐NMR pointed out that d ‐glucose, taurine, l ‐carnitine, l ‐fucose, 1, 5‐anhydrosorbitol, and d ‐galactose levels showed consistent significant variation ( p < 0.05) between the positive (diabetic) and negative (normal) controls during the whole experimental period. Also, with the disease progression, myoinositol, and l ‐phenylalanine levels were significantly altered ( p < 0.05) after 2 weeks and this alteration was maintained till the end of the 4‐week experimental period in the positive control group. From the results of the present study, it could be concluded that we cannot depend only on glucose levels for prognostic purposes since there are other metabolic disturbances in diabetes which need to be tracked for better disease prognosis.