Differential metabolomics networks analysis of menopausal status
Autoři:
Xiujuan Cui aff001; Xiaoyan Yu aff001; Guang Sun aff003; Ting Hu aff004; Sergei Likhodii aff005; Jingmin Zhang aff001; Edward Randell aff006; Xiang Gao aff007; Zhaozhi Fan aff008; Weidong Zhang aff001
Působiště autorů:
School of Pharmaceutical Sciences, Jilin University, Changchun, P.R. China
aff001; Department of Pharmacy, Daqing Oil-Field General Hospital, Daqing, China
aff002; Discipline of Medicine, Faculty of Medicine, Memorial University, St. John’s, NL, Canada
aff003; Department of Computer Science, Memorial University, St John’s, NL, Canada
aff004; BC Provincial Toxicology Centre, Provincial Health Services Authority, Vancouver, British Columbia, Canada
aff005; Department of Laboratory Medicine, Faculty of Medicine, Memorial University, St. John’s, NL, Canada
aff006; College of Life Sciences, Qingdao University, Qingdao, China
aff007; Department of Mathematics and Statistics, Memorial University, St. John’s, NL, Canada
aff008; Discipline of Genetics, Faculty of Medicine, Memorial University, St. John’s, NL, Canada
aff009
Vyšlo v časopise:
PLoS ONE 14(9)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0222353
Souhrn
Menopause is an endocrine-related transition that induces a number of physiological and potentially pathological changes in middle-aged and elderly women. The intention of this research was to investigate the influence of menopause on the intricate relationships between major biochemical metabolites. The study involved metabolic profiling of 186 metabolic markers measured in blood plasma collected from 120 healthy female participants. We developed a method of network analysis using differential correlation that enabled us to detect and characterize differences in metabolites and changes in inter-relationships in pre- and post-menopausal women. A topological analysis was performed on the differential network that uncovered metabolite differences in pre-and post-menopausal women. In this analysis, our method identified two key metabolites, sphingomyelins and phosphatidylcholines, which may be useful in directing further studies into menopause-specific differences in the metabolome, and how these differences may underlie the body's response to stress and disease following the transition from pre- to post-menopausal status for women.
Klíčová slova:
Biology and life sciences – Biochemistry – Metabolism – Metabolites – Metabolomics – Lipids – Sphingolipids – Physiology – Molecular biology – Molecular biology techniques – Molecular biology assays and analysis techniques – Amino acid analysis – Medicine and health sciences – Endocrinology – Endocrine physiology – Menopause – Pharmacology – Pharmacokinetics – Drug metabolism – Computer and information sciences – Network analysis – Metabolic networks – Research and analysis methods
Zdroje
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Článek vyšel v časopise
PLOS One
2019 Číslo 9
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