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Altered adolescents obesity metabolism is associated with hypertension: a UPLC-MS-based untargeted metabolomics study.
Wu, Zhi-Ping; Wei, Wei; Cheng, Yuan; Chen, Jing-Yi; Liu, Yang; Liu, Shan; Hu, Meng-Die; Zhao, Heng; Li, Xiao-Feng; Chen, Xin.
Affiliation
  • Wu ZP; Department of Epidemiology, School of Public Health, Dalian Medical University, Dalian, China.
  • Wei W; Department of Neurosurgery, Central Hospital of Dalian University of Technology, Dalian, China.
  • Cheng Y; Department of Epidemiology, School of Public Health, Dalian Medical University, Dalian, China.
  • Chen JY; Department of Epidemiology, School of Public Health, Dalian Medical University, Dalian, China.
  • Liu Y; Institute of Health Science, China Medical University, Shenyang, China.
  • Liu S; Department of Epidemiology, School of Public Health, Dalian Medical University, Dalian, China.
  • Hu MD; Department of Epidemiology, School of Public Health, Dalian Medical University, Dalian, China.
  • Zhao H; Department of Epidemiology, School of Public Health, Dalian Medical University, Dalian, China.
  • Li XF; Department of Epidemiology, School of Public Health, Dalian Medical University, Dalian, China.
  • Chen X; Department of Epidemiology, School of Public Health, Dalian Medical University, Dalian, China.
Front Endocrinol (Lausanne) ; 14: 1172290, 2023.
Article in En | MEDLINE | ID: mdl-37229452
ABSTRACT

Objective:

This study aimed to explore the relationship between the plasma metabolites of adolescent obesity and hypertension and whether metabolite alterations had a mediating effort between adolescent obesity and hypertension.

Methods:

We applied untargeted ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) to detect the plasma metabolomic profiles of 105 adolescents. All participants were selected randomly based on a previous cross-sectional study. An orthogonal partial least squares- discriminant analysis (OPLS-DA), followed by univariate statistics and enrichment analysis, was used to identify differential metabolites. Using logistic regression for variable selection, an obesity-related metabolite score (OMS, OMS=∑k=1nßnmetabolite n) was constructed from the metabolites identified, and hypertension risk was estimated.

Results:

In our study, based on P< 0.05, variable importance in projection (VIP) > 1.0, and impact value > 0.1, we identified a total of 12 differential metabolites. Significantly altered metabolic pathways were the sphingolipid metabolism, purine metabolism, pyrimidine metabolism, phospholipid metabolism, steroid hormone biosynthesis, tryptophan, tyrosine, and phenylalanine biosynthesis. The logistic regression selection resulted in a four-metabolite score (thymidine, sphingomyelin (SM) d401, 4-hydroxyestradiol, and L-lysinamide), which was positively associated with hypertension risk (odds ratio 7.79; 95% confidence interval 2.13, 28.47; for the quintile 4 compared with quartile 1 of OMS) after multivariable adjustment.

Conclusions:

The OMS constructed from four differential metabolites was used to predict the risk of hypertension in adolescents. These findings could provide sensitive biomarkers for the early recognition of hypertension in adolescents with obesity.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pediatric Obesity / Hypertension Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Humans Language: En Journal: Front Endocrinol (Lausanne) Year: 2023 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pediatric Obesity / Hypertension Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Humans Language: En Journal: Front Endocrinol (Lausanne) Year: 2023 Document type: Article Affiliation country: