Lai Fuzhi, Zhou Zhibin, Xia Xiaojiao, Du Yuxia, Huang Jiaming
Department of Service Center, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.
Department of Respiratory and Critical Care Medicine, The Shishi Municipal Hospital, Shishi, Fujian, China.
BMC Microbiol. 2025 May 28;25(1):338. doi: 10.1186/s12866-025-04060-x.
The current problem associated with Pseudomonas aeruginosa (PA) pneumonia, which is frequently encountered in clinical settings, is drug resistance. If Pseudomonas aeruginosa pneumonia can be rapidly diagnosed in early stage, the occurrence of drug resistance can be reduced. Therefore, our study aimed to investigate pulmonary metabolic changes associated with PA pneumonia and to identify relevant metabolic biomarkers and key metabolic pathways, providing a reference for rapid diagnosis.
Eighteen rabbits were randomly assigned to either the PA or normal saline (NS) group. Bronchoalveolar lavage fluid (BALF) was analyzed via untargeted liquid chromatography-mass spectrometry (ULCMS) to identify and analyze differentially abundant metabolites between the groups. Univariate comparisons were performed using Student's t-test, while multivariate patterns were analyzed via principal component analysis (PCA) and orthogonal projections to latent structure-discriminant analysis(OPLS-DA).
Successful modeling was achieved in 17 rabbits (8 PAs, 9 NSs). The most abundant metabolite classes detected in BALF were lipids and lipid-like molecules, organoheterocyclic compounds, and benzenoids. A total of 2,451 differentially abundant metabolites were identified, including 1,205 upregulated and 1,210 downregulated metabolites. Key metabolic pathways such as histidine metabolism, arginine and proline metabolism, nucleotide metabolism, and ABC transporters were upregulated in the PA group, whereas choline metabolism in the cancer pathway was downregulated.
PA pneumonia induces distinctive metabolic alterations in the lungs, highlighting potential biomarkers and pathways that could provide valuable insights for clinical diagnosis and treatment.
Not applicable.
铜绿假单胞菌（PA）肺炎是临床常见疾病，当前与之相关的问题是耐药性。若能在早期快速诊断铜绿假单胞菌肺炎，可减少耐药性的发生。因此，本研究旨在探讨与PA肺炎相关的肺部代谢变化，识别相关代谢生物标志物和关键代谢途径，为快速诊断提供参考。
将18只兔子随机分为PA组或生理盐水（NS）组。通过非靶向液相色谱-质谱联用（ULCMS）分析支气管肺泡灌洗液（BALF），以识别和分析两组之间差异丰富的代谢物。使用学生t检验进行单变量比较，同时通过主成分分析（PCA）和正交投影到潜在结构判别分析（OPLS-DA）分析多变量模式。
17只兔子建模成功（8只PA组，9只NS组）。在BALF中检测到的最丰富的代谢物类别是脂质和类脂分子、有机杂环化合物和苯类化合物。共鉴定出2451种差异丰富的代谢物，包括1205种上调代谢物和1210种下调代谢物。PA组中组氨酸代谢、精氨酸和脯氨酸代谢、核苷酸代谢和ABC转运蛋白等关键代谢途径上调，而癌症途径中的胆碱代谢下调。
PA肺炎可引起肺部独特的代谢改变，突出了潜在的生物标志物和途径，可为临床诊断和治疗提供有价值的见解。
不适用。
