首页 | 本学科首页   官方微博 | 高级检索  
     


Metabolomics analysis of human plasma metabolites reveals the age- and sex-specific associations
Authors:Yixiao Wang  Guangshu Wang  Ru’nan Jing  Ting Hu  Sergei Likhodii  Guang Sun
Affiliation:1. School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin, P. R. China;2. Department of Computer Science, Memorial University, St John’s, Canada;3. Provincial Toxicology Centre, Provincial Health Services Authority, Vancouver, Canada;4. Faculty of Medicine, Discipline of Medicine, Memorial University, St. John’s, Canada
Abstract:Abstract

Objectives: The objective of this study was the investigation of age- and sex-associations in a set of blood plasma metabolites in healthy male and female subjects.

Methods: A comparison study design with male and female subjects of various ages was used. Metabolic profiling was performed using electrospray ionization tandem mass spectrometry that yielded 186 metabolite concentrations for each study participant. The key age-related metabolites were identified using an integrative analysis of absolute concentrations, metabolite ratios and the differential correlation of pairwise metabolite concentrations. All of the age-associated metabolites were adjusted prior to the analysis to account for differences in Body Mass Index (BMI).

Results: A total of 236 plasma samples from 140 female and 96 male subjects aged 20 to 82 years-old were collected and analyzed in the study. 13 and 14 age-associated metabolites (|r|?>?0.33 and p < 6.6×10?5), 438 and 337 age-associated metabolite ratios (|r|?>?0.37 and p < 3.5×10?6), and 5 and 10 core metabolites were discovered in the female and male groups, respectively. 80% of the metabolites displaying associations with age belonged to sphingolipids and phosphatidylcholines, and the two sexes shared less than 50% of the age-associated metabolites.

Conclusion: The study found that changes in metabolite concentrations, metabolite ratios and differential correlations were age and sex-specific.
Keywords:Ageing  differential correlation network  metabolic biomarker  metabolomics  sex  metabolite ratios
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号