Ling Baodian, Wang Fangsheng, Wu Heli, Huang Yushan, Huang Junyun
Department of Laboratory Medicine, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.
Department of Gastroenterology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.
Front Cell Infect Microbiol. 2025 May 19;15:1556536. doi: 10.3389/fcimb.2025.1556536. eCollection 2025.
(CD) has emerged as one of the most prevalent nosocomial infections in hospitals and is the primary causative agent of antibiotic-associated diarrhea and pseudomembranous colitis. In recent years, -induced infections have resulted in significant morbidity and mortality worldwide, with a particularly rapid increase in incidence observed in China. strains are categorized into toxin-producing and non-toxin-producing based on their ability to synthesize toxins, with the pathogenicity of being strictly dependent on the protein toxins produced by the toxin-producing strains. Therefore, early and rapid identification of toxin-producing is crucial for the diagnosis and prevention of infection (CDI). Currently, the detection methods of infection carried out by clinical laboratories in China mainly include toxin-producing culture, cell culture toxin assay, toxin assay by immunological methods, glutamate dehydrogenase (GDH) assay and nucleic acid amplification assay.However, current detection methods for CDI in clinical laboratories in China exhibit significant limitations, such as being time-consuming, operationally complex, and lacking in specificity and sensitivity. Raman microspectroscopy has been shown to have the potential for rapid and reliable identification in microbial diagnostics, with the method reducing the time to results to less than 1 hour, including the processing of clinical samples, the measurement of single-cell Raman spectra, and the final diagnosis through the use of training models. In this study, we aimed to predict strain identification and virulent strain identification of 24 raw clinical stool samples by constructing a reference single-cell Raman spectroscopy (SCRS) database of common intestinal flora and , as well as a reference SCRS database of toxin-producing and non-toxin-producing strains. The results showed that the accuracy of strain identification in clinical stool samples was 83%, and the accuracy of virulent strain prediction was 80%. These findings suggest that Raman spectroscopy may be a viable method for the rapid identification of virulent and non-virulent strains and holds promise for clinical application in the rapid diagnosis of CDI.
艰难梭菌（CD）已成为医院中最常见的医院感染之一，是抗生素相关性腹泻和伪膜性结肠炎的主要病原体。近年来，艰难梭菌引起的感染在全球范围内导致了显著的发病率和死亡率，在中国观察到发病率尤其迅速上升。根据其合成毒素的能力，艰难梭菌菌株可分为产毒素菌株和非产毒素菌株，艰难梭菌的致病性严格依赖于产毒素菌株产生的蛋白质毒素。因此，早期快速鉴定产毒素艰难梭菌对于艰难梭菌感染（CDI）的诊断和预防至关重要。目前，中国临床实验室进行的艰难梭菌感染检测方法主要包括艰难梭菌产毒素培养、细胞培养毒素检测、免疫学法毒素检测、谷氨酸脱氢酶（GDH）检测和核酸扩增检测。然而，中国临床实验室目前的CDI检测方法存在显著局限性，如耗时、操作复杂、缺乏特异性和敏感性。拉曼光谱已被证明在微生物诊断中具有快速可靠鉴定的潜力，该方法将得出结果的时间缩短至不到1小时，包括临床样本处理、单细胞拉曼光谱测量以及通过使用训练模型进行最终诊断。在本研究中，我们旨在通过构建常见肠道菌群和艰难梭菌的参考单细胞拉曼光谱（SCRS）数据库，以及产毒素和非产毒素艰难梭菌菌株的参考SCRS数据库，来预测24份原始临床粪便样本的艰难梭菌菌株鉴定和毒力菌株鉴定。结果表明，临床粪便样本中艰难梭菌菌株鉴定的准确率为83%，毒力菌株预测的准确率为80%。这些发现表明，拉曼光谱可能是一种快速鉴定有毒和无毒艰难梭菌菌株的可行方法，在CDI的快速诊断临床应用中具有前景。
