Department of Chemistry, Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China.
Department of Neurosurgery, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai 200062, China.
Molecules. 2021 Nov 15;26(22):6871. doi: 10.3390/molecules26226871.
Intracranial bacterial infection remains a major cause of morbidity and mortality in neurosurgical cases. Metabolomic profiling of cerebrospinal fluid (CSF) holds great promise to gain insights into the pathogenesis of central neural system (CNS) bacterial infections. In this pilot study, we analyzed the metabolites in CSF of CNS infection patients and controls in a pseudo-targeted manner, aiming at elucidating the metabolic dysregulation in response to postoperative intracranial bacterial infection of pediatric cases. Untargeted analysis uncovered 597 metabolites, and screened out 206 differential metabolites in case of infection. Targeted verification and pathway analysis filtered out the glycolysis, amino acids metabolism and purine metabolism pathways as potential pathological pathways. These perturbed pathways are involved in the infection-induced oxidative stress and immune response. Characterization of the infection-induced metabolic changes can provide robust biomarkers of CNS bacterial infection for clinical diagnosis, novel pathways for pathological investigation, and new targets for treatment.
颅内细菌感染仍然是神经外科病例发病率和死亡率的主要原因。脑脊液（CSF）的代谢组学分析有望深入了解中枢神经系统（CNS）细菌感染的发病机制。在这项初步研究中，我们以伪靶向方式分析了 CNS 感染患者和对照者的 CSF 中的代谢物，旨在阐明针对小儿颅内细菌感染术后的代谢失调。非靶向分析揭示了 597 种代谢物，并筛选出 206 种感染时的差异代谢物。靶向验证和途径分析筛选出糖酵解、氨基酸代谢和嘌呤代谢途径作为潜在的病理途径。这些失调的途径涉及感染引起的氧化应激和免疫反应。感染引起的代谢变化的特征可以为 CNS 细菌感染提供强大的临床诊断生物标志物、新的病理研究途径以及新的治疗靶点。
