ArticleJournal of human hypertension2022
Serum metabolites of hypertension among Chinese adolescents aged 12-17 years.
Article in Journal of human hypertension, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- Untargeted metabolomics identifies altered metabolome contributing to hypertension in late adolescents.Journal of translational medicine · 2026Article
- Benzyl alcohol improves Ang II-induced vascular and renal injury.Turkish journal of medical sciences · 2025Article
- Serum metabolomic signatures of vegetarians relative to omnivores in a Chinese cohort: associations with cardiometabolic risk factors.Frontiers in nutrition · 2025Article
- Metabolomics Reveals Glyoxylate and Dicarboxylate Metabolism Disorder in Elderly Trauma: A Retrospective Study.Clinical interventions in aging · 2025Article
- Untargeted metabolomics unravel serum metabolic alterations in smokers with hypertension.Frontiers in physiology · 2023Article
- Dissecting the Regulation of Arachidonic Acid Metabolites byFrontiers in pharmacology · 2022Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
The regulatory mechanisms of hypertension in youth are incompletely understood. We aimed to identify potential serum metabolic alterations associated with hypertension in adolescents. A 1:1 age- and sex-matched case-control study including 30 hypertensive adolescents aged 12-17 years and 30 normotensive adolescents for the training set and 14 hypertensive adolescents and 14 normotensive adolescents for the test set was performed, which came from one cross-sectional study in Ningxia, China. Hypertension was defined based on blood pressure (BP) values measured on three different occasions according to the BP reference of Chinese children and adolescents. Untargeted ultra-high-performance liquid tandem chromatography quadrupole time of flight mass spectrometry was used to identify differential metabolites between hypertensive and normotensive adolescents. A total of 77 metabolites in positive mode and 101 in negative mode were identified (VIP > 1.0 and P < 0.05). After adjustment for the false discovery rate, 4 differential metabolites in positive mode and 10 in negative mode were found (Q value < 0.05). The logistic regression model adjusted for body mass index and lipid profile selected four significant metabolites (4-hydroxybutanoic acid, L-serine, acetone, and pterostilbene). The main metabolic pathways of amino acid metabolism, pantothenate and CoA biosynthesis, glyoxylate and dicarboxylate metabolism, fructose and mannose metabolism, and linoleic acid metabolism may contribute to the development of hypertension in Chinese adolescents. Based on the receiver operating characteristic plot, 4-hydroxybutanoic acid, L-serine, acetone, and pterostilbene may preliminarily help distinguish hypertension from normal BP in adolescents, with AUC values of 0.857 in the training set and 0.934 in the test set. The identified metabolites and pathways may foster a better understanding of hypertension pathogenesis in Chinese adolescents.
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