ArticleAnalytica chimica acta2015
Reconstruction and analysis of correlation networks based on GC-MS metabolomics data for young hypertensive men.
Article in Analytica chimica acta, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.
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Who cites it
43 citing papers in PubMed, 1 synthesis or guideline pooled it, 92 citations in OpenAlex.
- Replication and mediation of the association between the metabolome and clinical markers of metabolic health in an adolescent cohort study.Scientific reports · 2023Pooled it
- Association of plasma acylcarnitines and amino acids with hypertension: A nationwide metabolomics study.PloS one · 2023Trial
- Urinary Metabolites Associated with Blood Pressure on a Low- or High-Sodium Diet.Theranostics · 2018Trial
- Searching for Metabolic Markers for Hypertension in Human Urine.Molecules (Basel, Switzerland) · 2026Article
- Personalised approach to hypertension treatment: protocol for the HYPERMARKER randomised controlled trial.BMJ open · 2026Article
- Metabolomics and Precision Medicine in Resistant Hypertension: Pathophysiological Insights, Biomarker Discovery, and Translational Strategies.International journal of hypertension · 2026Review
- Acupuncture for Major Depressive Disorder: Exploring the Gut Microbiota as a Novel Therapeutic Pathway.Brain and behavior · 2025Article
- Human plasma metabolomics reveals metabolic targets for intervention in salt-sensitive hypertension.Hypertension research : official journal of the Japanese Society of Hypertension · 2025Article
- Nuclear Magnetic Resonance Analysis Seeking for Metabolic Markers of Hypertension in Human Serum.Molecules (Basel, Switzerland) · 2025Article
- Understanding Hypertension: A Metabolomic Perspective.Biology · 2025Review
- The inverse associations of glycine and histidine in diet with hyperlipidemia and hypertension.Nutrition journal · 2024Article
- Metabolomic Signatures Associated with Radiation-Induced Lung Injury by Correlating Lung Tissue to Plasma in a Rat Model.Metabolites · 2023Article
- Combination of bioaffinity ultrafiltration-UFLC-ESI-Q/TOF-MS/MS, in silico docking and multiple complex networks to explore antitumor mechanism of topoisomerase I inhibitors from Artemisiae Scopariae Herba.BMC complementary medicine and therapies · 2023Article
- Early vascular ageing phenotypes and urinary targeted metabolomics in children and young adults: the ExAMIN Youth SA and African-PREDICT studies.Amino acids · 2023Article
- Networks as Biomarkers: Uses and Purposes.Genes · 2023Review
- Untargeted Metabolomics Analysis Using UHPLC-Q-TOF/MS Reveals Metabolic Changes Associated with Hypertension in Children.Nutrients · 2023Article
- Revealing the Pathogenesis of Salt-Sensitive Hypertension in Dahl Salt-Sensitive Rats through Integrated Multi-Omics Analysis.Metabolites · 2022Article
- The causal associations of circulating amino acids with blood pressure: a Mendelian randomization study.BMC medicine · 2022Article
- Serum metabolites of hypertension among Chinese adolescents aged 12-17 years.Journal of human hypertension · 2022Article
- Influence of Genetic West African Ancestry on Metabolomics among Hypertensive Patients.Metabolites · 2022Article
Corrections and comments
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Authors and funding
10 authors at 6 institutions in 2 countries.
Funding
Abstract
The awareness, treatment, and control rates of hypertension for young adults are much lower than average. It is urgently needed to explore the variances of metabolic profiles for early diagnosis and treatment of hypertension. In current study, we applied a GC-MS based metabolomics platform coupled with a network approach to analyze plasma samples from young hypertensive men and age-matched healthy controls. Our findings confirmed distinct metabolic footprints of young hypertensive men. The significantly altered metabolites between two groups were enriched for the biological module of amino acids biosynthesis. The correlations of GC-MS metabolomics data were then visualized as networks based on Pearson correlation coefficient (threshold=0.6). The plasma metabolites identified by GC-MS and the significantly altered metabolites (P<0.05) between patients and controls were respectively included as nodes of a network. Statistical and topological characteristics of the networks were studied in detail. A few amino acids, glycine, lysine, and cystine, were screened as hub metabolites with higher values of degree (k), and also obtained highest scores of three centrality indices. The short average path lengths and high clustering coefficients of the networks revealed a small-world property, indicating that variances of these amino acids have a major impact on the metabolic change in young hypertensive men. These results suggested that disorders of amino acid metabolism might play an important role in predisposing young men to developing hypertension. The combination of metabolomics and network methods would provide another perspective on expounding the molecular mechanism underlying complex diseases.
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