Differential metabolomics analysis allows characterization of diversity of metabolite networks between males and females.
Differential metabolomics analysis allows characterization of diversity of metabolite networks between males and females.
复制标题
差异代谢组学分析允许表征男性和女性之间代谢物网络的多样性。
DOI：
10.1371/journal.pone.0207775
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发表时间：
2018
期刊：
影响因子：
3.7
通讯作者：
Zhang W
中科院分区：
文献类型：
--
作者：
Li Z;Zhang Y;Hu T;Likhodii S;Sun G;Zhai G;Fan Z;Xuan C;Zhang W
众所周知，女性和男性科普压力和疾病的能力不同。本研究旨在探讨性别对由中心生化代谢物构成的复杂互连网络的性质的影响。该研究涉及血液收集和分析来自236名健康参与者的大量血液代谢标志物，其中包括140名女性和96名男性。代谢谱分析得出每例受试者的168种代谢物浓度。本研究开发了一种差分相关网络分析方法，可以检测和表征雄性和雌性代谢物的相互关联差异。通过拓扑分析的微分网络，描绘代谢物的性别差异，我们确定了在这个网络中具有高中心性的代谢物。这些关键代谢物被鉴定为10种磷脂酰胆碱（PCaaC 34：4、PCaaC 36：6、PCaaC 34：3、PCaaC 42：2、PCaeC 38：1、PCaeC 38：2、PCaaC 40：1、PCaeC 34：1、PC aa C32：1和PC aa C40：6）和4种酰基肉毒碱（C3-OH、C7-DC、C3和C 0）。这些代谢物的鉴定可能有助于进一步研究性别特异性的代谢组差异，这可能是男性和女性对压力和疾病的不同反应的基础。
Females and males are known to have different abilities to cope with stress and disease. This study was designed to investigate the effect of sex on properties of a complex interlinked network constructed of central biochemical metabolites. The study involved the blood collection and analysis of a large set of blood metabolic markers from a total of 236 healthy participants, which included 140 females and 96 males. Metabolic profiling yielded concentrations of 168 metabolites for each subject. A differential correlation network analysis approach was developed for this study that allowed detection and characterization of interconnection differences in metabolites in males and females. Through topological analysis of the differential network that depicted metabolite differences in the sexes, we identified metabolites with high centralities in this network. These key metabolites were identified as 10 phosphatidylcholines (PCaaC34:4, PCaaC36:6, PCaaC34:3, PCaaC42:2, PCaeC38:1, PCaeC38:2, PCaaC40:1, PCaeC34:1, PC aa C32:1 and PC aa C40:6) and 4 acylcarnitines (C3-OH, C7-DC, C3 and C0). Identification of these metabolites may help further studies of sex-specific differences in the metabolome that may underlie different responses to stress and disease in males and females.
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影响因子：
5.4
作者：
Kalim S;Clish CB;Wenger J;Elmariah S;Yeh RW;Deferio JJ;Pierce K;Deik A;Gerszten RE;Thadhani R;Rhee EP
通讯作者：
Rhee EP
影响因子：
22.4
作者：
Emery, Rebecca L.;Levine, Michele D.
通讯作者：
Levine, Michele D.
终生风险和心血管疾病首发表现的性别差异：基于人群的前瞻性队列研究。
DOI：
10.1136/bmj.g5992
发表时间：
2014-11-17
期刊：
BMJ (Clinical research ed.)
影响因子：
--
作者：
Leening MJ;Ferket BS;Steyerberg EW;Kavousi M;Deckers JW;Nieboer D;Heeringa J;Portegies ML;Hofman A;Ikram MA;Hunink MG;Franco OH;Stricker BH;Witteman JC;Roos-Hesselink JW
通讯作者：
Roos-Hesselink JW
影响因子：
2.8
作者：
Park, Ji Eun;Jung, Seung Chai;Shim, Woo Hyun
通讯作者：
Shim, Woo Hyun
影响因子：
3
作者：
SABIDUSSI, G
通讯作者：
SABIDUSSI, G