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| Study on small molecular metabolites in urine of school-age children with obesity#br# |
| ZHANG Yantao1 CHEN Li1 ZHU Yibing1 WANG Shuling2 GOU Xiaojun1 |
| 1.Department of Pediatric, Shanghai Baoshan District Hospital of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai 201999, China; 2.College of Pharmacy, Department of Medicine, Hangzhou Normal University, Zhejiang Province, Hangzhou 310012, China |
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Abstract Objective To analyze the changes of small molecular metabolites in urine of school-age children with obesity by gas chromatography-mass spectrometry (GC/MS) metabolomics technology, and screen out the differential metabolites in urine related to obesity in school-age children, so as to explore the occurrence mechanism of metabolic disorders in school-age children with obesity. Methods From March to December 2018, the list of physical examination schools in Department of Health Care, Baoshan District Hospital of Integrated Traditional Chinese Medicine and Western Medicine of Shanghai was numbered by random number table, and the physical examination data of children aged 12 to 15 in Baoshan Experimental Primary School, Shanghai University Affiliated Experimental School and Baoshan Gongfu Experimental School of Shanghai were randomly selected. Twenty-five obese children aged 12-15 were selected as the obese group, and a group of 25 normal children matched with age and sex were selected as the normal group. GC/MS was used to detect small molecular metabolites in urine of the two groups, and multidimensional statistical method-partial least squares-discriiminate (PLS-DA) was used to observe the urine metabolism profile of the two groups. According to the weight coefficient VIP>1, P ＜ 0.05, the differential metabolites were obtained. Differential metabolites were identified using commercial metabolite profiles (NIST and Wiley Registry). Results Compared with normal group, height, body weight, body mass index, triglyceride, alanine aminotransferase, and low density lipoprotein were significantly increased in obese group, and the differences were statistically significant (P ＜ 0.05 or P ＜ 0.01), while high density lipoprotein was significantly decreased, and the difference was highly statistically significant (P ＜ 0.01). The metabolic profiles of the obese group and the normal group were well separated and 38 different metabolites were identified. The area under the curve of receiver operating characteristic curve of 18 metabolites in urine, such as valine, isoleucine, and tyrosine, was > 0.5. School-age children with obesity have metabolic abnormalities such as phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism, glycerol metabolism, tyrosine metabolism and histidine metabolism. Conclusion Eighteen characteristic metabolites in urine such as valine, isoleucine, tyrosine and uric acid are expected to be potential biomarkers in the diagnosis of school-age children with obesity. Differential metabolites in urine of school-age children with obesity are screened by metabonomics method, which provide a certain experimental basis for the diagnosis and treatment of obesity in school-age children.
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