Biomarkers of Mycoplasma pneumoniae pneumonia in children by urine metabolomics based on Q Exactive liquid chromatography/tandem mass spectrometry

• Published in: Rapid communications in mass spectrometry Vol. 36; no. 5; pp. e9234 - n/a
• Main Authors: Li, Jing, Fu, Yunhua, Jing, Wei, Li, Jie, Wang, Xin, Chen, Jialing, Sun, Shuxin, Yue, Hao, Dai, Yulin
• Format: Journal Article
• Language: English
• Published: England 15.03.2022
• Subjects: Biomarkers - chemistry; Biomarkers - urine; Child; Chromatography, High Pressure Liquid - methods; Female; Humans; Male; Metabolomics - methods; Mycoplasma pneumoniae - physiology; Pneumonia, Mycoplasma - diagnosis; Pneumonia, Mycoplasma - microbiology; Pneumonia, Mycoplasma - urine; Tandem Mass Spectrometry - methods
• ISSN: 0951-4198; 1097-0231; 1097-0231
• DOI: 10.1002/rcm.9234

Rationale Mycoplasma pneumoniae has become one of the common pathogens causing pediatric respiratory infections. In clinical diagnosis, throat swabs are very difficult to obtain from children, and there is a possibility of false positive results; hence, there are few clinically available diagnostic methods. Methods In this study, Q Exactive liquid chromatography/tandem mass spectrometry was used to analyze the metabolites in the urine of healthy children (HC) and M. pneumoniae pneumonia in children (MPPC) patients. A multivariate statistical analysis was performed to screen the differential metabolites. Based on the HMDB and KEGG, the possible metabolic pathways subject to biological alteration were identified. Results Compared with HC, 73 different metabolites in MPPC patients disrupted nine metabolic pathways through different change trends; after integrating various parameters, 20 significantly different metabolites were identified as MPPC potential biomarkers. Through the above two analysis modes, acetylphosphate and 2,5‐dioxopentanoate were both screened out and used as potential biomarkers for the early diagnosis of MPPC for the first time. Conclusions The characterization of 20 potential biomarkers provides a scientific basis for predicting and diagnosing MPPC. This article further indicates that urine metabolic profiling has great potential in diagnosing MPPC and can effectively prevent the disease from causing further deterioration.