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血浆代谢组学揭示类鼻疽病的独特生物学和诊断特征。

Plasma Metabolomics Reveals Distinct Biological and Diagnostic Signatures for Melioidosis.

机构信息

Department of Biostatistics.

Mahidol Oxford Tropical Medicine Research Unit.

出版信息

Am J Respir Crit Care Med. 2024 Feb 1;209(3):288-298. doi: 10.1164/rccm.202207-1349OC.

Abstract

The global burden of sepsis is greatest in low-resource settings. Melioidosis, infection with the gram-negative bacterium , is a frequent cause of fatal sepsis in endemic tropical regions such as Southeast Asia. To investigate whether plasma metabolomics would identify biological pathways specific to melioidosis and yield clinically meaningful biomarkers. Using a comprehensive approach, differential enrichment of plasma metabolites and pathways was systematically evaluated in individuals selected from a prospective cohort of patients hospitalized in rural Thailand with infection. Statistical and bioinformatics methods were used to distinguish metabolomic features and processes specific to patients with melioidosis and between fatal and nonfatal cases. Metabolomic profiling and pathway enrichment analysis of plasma samples from patients with melioidosis ( = 175) and nonmelioidosis infections ( = 75) revealed a distinct immuno-metabolic state among patients with melioidosis, as suggested by excessive tryptophan catabolism in the kynurenine pathway and significantly increased levels of sphingomyelins and ceramide species. We derived a 12-metabolite classifier to distinguish melioidosis from other infections, yielding an area under the receiver operating characteristic curve of 0.87 in a second validation set of patients. Melioidosis nonsurvivors ( = 94) had a significantly disturbed metabolome compared with survivors ( = 81), with increased leucine, isoleucine, and valine metabolism, and elevated circulating free fatty acids and acylcarnitines. A limited eight-metabolite panel showed promise as an early prognosticator of mortality in melioidosis. Melioidosis induces a distinct metabolomic state that can be examined to distinguish underlying pathophysiological mechanisms associated with death. A 12-metabolite signature accurately differentiates melioidosis from other infections and may have diagnostic applications.

摘要

脓毒症的全球负担在资源匮乏的环境中最大。类鼻疽,由革兰氏阴性细菌感染引起,是东南亚等流行热带地区导致致命性脓毒症的常见原因。本研究旨在探究血浆代谢组学是否能识别出与类鼻疽相关的特定生物学途径,并产生具有临床意义的生物标志物。研究人员采用全面的方法,系统性地评估了从泰国农村前瞻性住院感染患者队列中选择的个体的血浆代谢物和途径的差异富集。使用统计和生物信息学方法来区分类鼻疽患者和致命与非致命病例之间的代谢组学特征和过程。对类鼻疽(=175)和非类鼻疽感染(=75)患者的血浆样本进行代谢组学分析和途径富集分析,结果表明类鼻疽患者存在明显的免疫代谢状态,色氨酸分解代谢的犬尿氨酸途径增加,鞘氨醇和神经酰胺种类的水平显著升高。研究人员从血浆代谢组学分析中提取了一个 12 种代谢物的分类器,用于区分类鼻疽与其他感染,在第二个患者验证队列中,ROC 曲线下面积为 0.87。与幸存者(=81)相比,类鼻疽非幸存者(=94)的代谢组明显紊乱,亮氨酸、异亮氨酸和缬氨酸代谢增加,循环游离脂肪酸和酰基肉碱水平升高。一个包含 8 种代谢物的有限面板显示出作为类鼻疽早期死亡率预测因子的潜力。类鼻疽可诱导出独特的代谢状态,可用于检查与死亡相关的潜在病理生理机制。一个 12 种代谢物的特征可以准确地区分类鼻疽与其他感染,并可能具有诊断应用价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c971/10840774/8941924e4627/rccm.202207-1349OCf1.jpg

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