青藏高原臀部发育不良的血浆脂质组学分析

Xiaogang Li, Jiamei Ji, Ping Li, De Yang, Nyima Yedron, Yanming Lei, Tao Chen, Jianchu Li, Ye Guo, Xiao Yang, Li Shi, Dan Qu
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引用次数: 0

摘要

背景 髋关节发育不良(DDH)是一种多因素致病的儿科常见病。其发病率因地域而异,西藏高原的发病率明显更高。本研究通过分析血浆样本来评估与 DDH 相关的脂质组学特征。 方法 招募了 50 名婴儿,包括 25 名确诊为 DDH 的婴儿和 25 名年龄匹配的健康对照组婴儿。除血浆样本外,还收集了每位受试者的综合实验室检测结果和病历。采用非靶向脂质组学分析方法确定不同的代谢特征。 结果 DDH 患者和健康对照组的脂质组学特征差异显著。发现了几种不同的代谢物,包括三酰甘油(TAG)(17:0/18:1/20:1)、TAG(17:0/17:0/17:0)、磷脂酰乙醇胺(PE)(10:0/26:4)、TAG(17:0/18:0/18:0)、TAG(16:0/17:0/22:1)、TAG(16:0/18:0/22:0)、TAG(17:0/19:0/19:0)、TAG(13:0/20:0/20:0)、TAG(18:0/18:0/22:0)和 TAG(16:0/20:0/20:0)。显示差异的主要脂质种类是 TAG 和 PE。 结论 在 DDH 婴儿中观察到脂质组学特征的明显变化。据我们所知,这项研究是首次探索 DDH 患者的脂质组学特征。TAG(17:0/18:1/20:1)和TAG(17:0/17:0/17:0)的联合评估可作为 DDH 的潜在诊断工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Plasma Lipidomics Profiling of Developmental Dysplasia of the Hip in Tibet Plateau

Plasma Lipidomics Profiling of Developmental Dysplasia of the Hip in Tibet Plateau

Background

Developmental dysplasia of the hip (DDH) is a prevalent pediatric condition with a multifactorial etiology. Its incidence varies geographically, with notably higher rates observed on the Tibet plateau. This study was performed to evaluate the lipidomics signatures associated with DDH by analyzing plasma samples.

Methods

Fifty infants were recruited, including 25 diagnosed with DDH and 25 age-matched healthy controls. In addition to plasma samples, comprehensive laboratory test results and medical records were collected for each participant. An untargeted lipidomics profiling approach was employed to identify distinguishing metabolic signatures.

Results

Lipidomics profiles differed significantly between patients with DDH and healthy controls. Several differential metabolites were identified, including triacylglycerol (TAG)(17:0/18:1/20:1), TAG(17:0/17:0/17:0), phosphatidylethanolamine (PE)(10:0/26:4), TAG(17:0/18:0/18:0), TAG(16:0/17:0/22:1), TAG(16:0/18:0/22:0), TAG(17:0/19:0/19:0), TAG(13:0/20:0/20:0), TAG(18:0/18:0/22:0), and TAG(16:0/20:0/20:0). The primary lipid species showing differences were TAGs and PE.

Conclusions

Distinct shifts in lipidomics profiles were observed in infants with DDH. To the best of our knowledge, this study is the first to explore lipidomics signatures in patients with DDH. The combined assessment of TAG(17:0/18:1/20:1) and TAG(17:0/17:0/17:0) may serve as a potential diagnostic tool for DDH.

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