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代谢组学在细菌感染诊断中的应用。

Metabolomics in the Diagnosis of Bacterial Infections.

机构信息

Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran; Department of Bacteriology and Virology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.

Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.

出版信息

Clin Chim Acta. 2025 Jan 15;565:120020. doi: 10.1016/j.cca.2024.120020. Epub 2024 Nov 1.

DOI:10.1016/j.cca.2024.120020
PMID:39489271
Abstract

One of the essential factors in the appropriate treatment of infections is accurate and timely laboratory diagnosis. The correct diagnosis of infections plays a vital role in determining desirable therapy and controlling the spread of pathogens. Traditional methods of infection diagnosis are limited by several factors such as insufficient sensitivity and specificity, being time-consuming and laborious, having a low ability to distinguish infection from non-infectious inflammatory conditions and a low potential to predict treatment outcomes. Therefore, it is necessary to find innovative strategies for detecting specific biomarkers in order to diagnose infections. The rapid advancement of metabolomics makes it possible to determine the pattern of metabolite changes in the both of pathogen and the host during an infection. Metabolomics is a method used to assess the levels and type of metabolites in an organism. Metabolites are of low-molecular-weight compounds produced as a result of metabolic processes and pathways within cells. Metabolomics provides valuable data to detect accurate biomarkers of specific biochemical features directly related to certain phenotypes or conditions. This study aimed to review the applications and progress of metabolomics as a biomarker for the diagnosis of bacterial infections.

摘要

在感染的恰当治疗中,一个重要因素是准确且及时的实验室诊断。感染的正确诊断对于确定理想的治疗方法和控制病原体的传播起着至关重要的作用。传统的感染诊断方法受到多种因素的限制,例如灵敏度和特异性不足、耗时费力、区分感染与非感染性炎症状态的能力低以及预测治疗结果的潜力低。因此,有必要寻找检测特定生物标志物的创新策略,以诊断感染。代谢组学的快速发展使得能够确定病原体和宿主在感染期间代谢物变化的模式。代谢组学是一种用于评估生物体中代谢物水平和类型的方法。代谢物是细胞内代谢过程和途径产生的低分子量化合物。代谢组学提供了有价值的数据,可用于检测与某些表型或状况直接相关的特定生化特征的准确生物标志物。本研究旨在综述代谢组学作为细菌感染诊断的生物标志物的应用和进展。

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