Sex differences in the 1H NMR metabolic profile of serum in cardiovascular risk patients

Sex differences in the 1H NMR metabolic profile of serum in cardiovascular risk patients
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DOI:
10.1038/s41598-019-38881-4
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发表时间:
2019-02-20
期刊:
影响因子:
4.6
通讯作者:
Garcia-Dorado, David
Garcia-Dorado, David
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Barba, Ignasi;Andres, Mireia;Garcia-Dorado, David

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心血管疾病的个性化诊断和风险分层将使优化治疗策略和生活方式改变成为可能。代谢组学是一种很有前景的个性化诊断和预后技术,但包括性别在内的各种生理参数会影响代谢谱,从而阻碍其应用于临床。了解与性别相关的代谢谱的变化将有助于将代谢组学转化为临床。本研究的目的是调查除了脂蛋白外,与性别相关的代谢H-1核磁共振图谱的可能差异。来自39名(男性22名,女性17名)年龄在55-70岁之间的疑似冠心病患者的全血和甲醇去蛋白样本的H-1核磁共振波谱,这些患者接受的负荷测试被认为是阴性的。基于女性体内较高的乳酸和葡萄糖水平,去蛋白血清可用于性别区分。脂蛋白区段是个体间光谱变化最大的区域,但全血清谱可以根据脂蛋白区分性别。除脂蛋白外,疑似心血管疾病患者的H-1核磁共振代谢谱存在性别差异。这些发现可能有助于代谢组学向临床的转化。
Personalized diagnosis and risk stratification of cardiovascular diseases would allow optimizing therapeutic strategies and lifestyle changes. Metabolomics is a promising technique for personalized diagnosis and prognosis; however, various physiological parameters, including sex, influence the metabolic profile thus hampering its translation to the clinic. Knowledge of the variation in the metabolic profile associated with sex would facilitate metabolomic translation to the clinic. The objective of the present work was to investigate the possible differences in the metabolic H-1 NMR profile associated to sex beyond lipoproteins. H-1 NMR spectra from whole serum and methanol deproteinized samples from 39 patients (22 males, 17 females) between 55-70 years old with suspected coronary artery disease that underwent a stress test that was considered negative where included. Deproteinized serum could be used to differentiate sex based on higher levels of lactate and glucose in women. Lipoprotein region was the most variable area of the spectra between individuals, but spectra of whole serum were able to differentiate sex based on lipoproteins. There are sex-related differences in the H-1 NMR metabolic profile of individuals with suspected cardiovascular disease beyond lipoproteins. These findings may help the translation of metabolomics to the clinic.