Guangxi Wang, Wanhong Huang, Wei Liu, Yuanxiang Wang, Xiaoqiong Gu, Di Che, Yan Jin, Yuxin Yin, Hui Wang
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引用次数: 0
Abstract
Background: Pectus excavatum (PE) is the most common chest wall deformity, characterized by an insidious onset, gradual progression, and challenges in early diagnosis. It is often accompanied by emaciation and distinctive metabolic traits, which may provide valuable insights into its internal physiological and biochemical mechanisms. Our study attempted to screen out biomarkers by identifying the metabolic characteristics of PE, and the results provide a scientific basis for the early diagnosis of PE.
Methods: Untargeted metabolomic and lipidomic analyses using liquid chromatography-mass spectrometry was conducted on serum samples obtained from 20 patients diagnosed with PE and 30 healthy case-controls. Principal component analysis and partial least squares discriminant analysis were employed to assess the quality of the metabolic profiling and delineate the metabolic differences between the PE and healthy cohorts. Receiver operating characteristic analysis was conducted to evaluate the predictive accuracy of the selected biomarkers. Pathway analysis of the dysregulated metabolites was utilized to elucidate the underlying pathological pathways.
Results: Fourteen metabolites and seven lipids were found to be differentially expressed between patients with PE and healthy controls. Indole-3-acetaldehyde showed potential as a biomarker for PE, with an area under the curve value of 0.94, making it effective in distinguishing patients with PE. Pathway analysis revealed enrichment of several pathological pathways, such as valine, leucine, and isoleucine biosynthesis; sphingolipid metabolism; glycine, serine, and threonine metabolism; and glycerophospholipid metabolism.
Conclusions: In our study, we employed a multiomics approach to comprehensively examine dysregulated serological molecules in PE patients, and the analyses revealed potential biomarkers for early diagnosis and provided information for pathological studies.
背景:挖掘性胸肌(PE)是最常见的胸壁畸形,其特点是起病隐匿、病情逐渐发展、难以早期诊断。它通常伴有消瘦和独特的代谢特征,这可能为了解其内部生理和生化机制提供有价值的信息。我们的研究试图通过识别 PE 的代谢特征来筛选生物标志物,其结果为 PE 的早期诊断提供了科学依据:方法:采用液相色谱-质谱联用技术对 20 名确诊 PE 患者和 30 名健康病例对照者的血清样本进行非靶向代谢组学和脂质组学分析。采用主成分分析和偏最小二乘法判别分析评估了代谢分析的质量,并确定了 PE 和健康人群之间的代谢差异。对所选生物标记物的预测准确性进行了受体操作特征分析。对失调代谢物进行通路分析,以阐明潜在的病理通路:结果:发现14种代谢物和7种脂质在 PE 患者和健康对照组之间存在表达差异。吲哚-3-乙醛显示出作为 PE 生物标记物的潜力,其曲线下面积值为 0.94,可有效区分 PE 患者。通路分析显示,缬氨酸、亮氨酸和异亮氨酸生物合成;鞘脂代谢;甘氨酸、丝氨酸和苏氨酸代谢;甘油磷脂代谢等几条病理通路富集:在我们的研究中,我们采用了一种多组学方法来全面检测 PE 患者体内失调的血清学分子,分析结果揭示了用于早期诊断的潜在生物标记物,并为病理学研究提供了信息。