Suppr超能文献

青年人群中磷脂与代谢综合征组分相关性的性别差异。

Sex differences in the association of phospholipids with components of the metabolic syndrome in young adults.

机构信息

Ludwig-Maximilian Universität München, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Lindwurmstr. 4, D-80337 München, Germany.

School of Medicine and Pharmacology, Royal Perth Hospital Unit, University of Western Australia, Perth, Western Australia 6000 Australia.

出版信息

Biol Sex Differ. 2017 Mar 28;8:10. doi: 10.1186/s13293-017-0131-0. eCollection 2017.

Abstract

BACKGROUND

There are differences in the prevalence and severity of diseases between males, females not taking hormonal contraceptives (non-HC females) and females taking hormonal contraceptives (HC females). The aim of this study was to identify sex-specific differences in the metabolome and its relation to components of the metabolic syndrome in a young adult population.

METHODS

The subjects analysed are from the 20-year follow-up of the Western Australian Pregnancy Cohort (Raine) Study. Two hundred fifteen plasma metabolites were analysed in 1021 fasted plasma samples by a targeted liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) metabolomics approach. Principal component analysis between males ( = 550), non-HC females ( = 199) and HC females ( = 269) was applied. Regression analysis with a sex × metabolite concentration interaction was performed on components of the MetS, namely waist circumference, systolic blood pressure, and plasma HDL-C, triglycerides and glucose concentration, as outcome to select the significant metabolites of the interaction. Those selected metabolites were used as predictors in a sex group stratified analysis to compare the different β coefficients and therefore the sex group-dependent associations.

RESULTS

Principal component analysis between males, non-HC females, and HC females showed a general discriminating trend between males and HC females. One hundred twenty-seven metabolites were significantly different between males and non-HC females, whereas 97 differed between non-HC females and HC females. Males and non-HC females mainly differed in sphingomyelin, lyso-phosphatidylcholine, acyl-carnitine and amino acid species, whilst non-HC females and HC females mainly differed in phosphatidylcholine, lyso-phosphatidylcholine and acyl-carnitine concentrations. Forty-one metabolites (phosphatidylcholines, sphingomyelines, lyso-phosphatidylcholine) were significantly differently associated with the MetS factors in the different groups.

CONCLUSIONS

We have shown clear differences between plasma metabolite concentrations in males, and HC or non-HC females, especially in lyso-phosphatidylcholine, sphingomyelin and phosphatidylcholine, which have been shown to associate with obesity in other studies. The association of these metabolites differed between sexes with components of the metabolic syndrome, which means that development of diseases like obesity and diabetes may differ between the sexes. Our findings highlight the importance of considering sex differences when conducting a metabolomics study and the need to account for the effect of HC usage in females in future studies.

摘要

背景

男性、未服用激素避孕药(非 HC 女性)的女性和服用激素避孕药(HC 女性)的女性之间,疾病的流行率和严重程度存在差异。本研究旨在确定在年轻成年人人群中,代谢组学及其与代谢综合征成分之间的性别特异性差异。

方法

本研究分析对象来自西澳大利亚妊娠队列(Raine)研究的 20 年随访。通过靶向液相色谱串联质谱(LC-MS/MS)代谢组学方法,在 1021 份禁食血浆样本中分析了 215 种血浆代谢物。对男性(n=550)、非 HC 女性(n=199)和 HC 女性(n=269)进行主成分分析。对代谢综合征的成分(腰围、收缩压和血浆高密度脂蛋白胆固醇、甘油三酯和血糖浓度)进行性别×代谢物浓度的交互回归分析,以选择交互作用的显著代谢物。将所选代谢物用作分层分析的性别组预测因子,以比较不同的β系数,从而比较不同性别组的相关性。

结果

男性、非 HC 女性和 HC 女性之间的主成分分析显示,男性和 HC 女性之间存在普遍的区分趋势。127 种代谢物在男性和非 HC 女性之间存在显著差异,而 97 种代谢物在非 HC 女性和 HC 女性之间存在差异。男性和非 HC 女性主要在神经鞘磷脂、溶血磷脂酰胆碱、酰基肉碱和氨基酸种类上存在差异,而非 HC 女性和 HC 女性主要在磷脂酰胆碱、溶血磷脂酰胆碱和酰基肉碱浓度上存在差异。41 种代谢物(磷脂酰胆碱、神经鞘磷脂、溶血磷脂酰胆碱)在不同组中与代谢综合征因子有显著不同的相关性。

结论

我们表明,男性与 HC 或非 HC 女性之间的血浆代谢物浓度存在明显差异,尤其是溶血磷脂酰胆碱、神经鞘磷脂和磷脂酰胆碱,这些物质在其他研究中与肥胖有关。这些代谢物与代谢综合征成分的相关性在性别之间存在差异,这意味着肥胖和糖尿病等疾病的发生可能因性别而异。我们的研究结果强调了在进行代谢组学研究时考虑性别差异的重要性,并需要在未来的研究中考虑女性使用激素避孕药的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e1d/5371176/182758e23ddd/13293_2017_131_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验