Identification and assessment of pulmonary Cryptococcus neoformans infection by blood serum surface-enhanced Raman spectroscopy
Identification and assessment of pulmonary Cryptococcus neoformans infection by blood serum surface-enhanced Raman spectroscopy
复制标题
血清表面增强拉曼光谱对肺部新型隐球菌感染的鉴定和评估
DOI：
10.1016/j.saa.2021.119978
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发表时间：
2021
影响因子：
4.4
通讯作者：
Ding Chen
中科院分区：
文献类型：
--
作者：
Zhu Shanshan;Li Yanjian;Gao Han;Hou Gang;Cui Xiaoyu;Chen Shuo;Ding Chen
新生隐球菌是引起急性肺部感染的病原体，如不及时治疗可进一步发展为致死性脑膜脑炎。如果能在早期诊断和准确评估的基础上对肺部隐球菌感染进行及时治疗，脑膜脑炎感染是可以预防的。本研究探讨了血清表面增强拉曼光谱(SERS)方法对肺炎性C细胞的鉴定和评价。新生病毒感染。对感染C的小鼠进行血清SERS测定。新生小鼠和健康小鼠，其中被感染的小鼠根据感染时间被进一步分为四个亚组。在这些SRES测量的基础上，分析不同组之间的生化差异，以调查识别和评估肺C的潜在生物标志物。新生病毒感染。采用偏最小二乘(PLS)分析和线性判别分析(LDA)模型对肺部隐球菌感染进行识别和判断，准确率分别为96.7%和85.3%。因此，我们的研究显示了使用血清SERS技术准确识别和评估肺部隐球菌感染的巨大临床潜力。
Cryptococcus neoformans(C. neoformans) is a causative agent for acute pulmonary infection, which can further develop to lethal meningoencephalitis if untreated. The meningoencephalitis infection can be prevented, if timely treatment on pulmonary cryptococcal infection can be implemented based on its early diagnosis and accurate assessment. In this study, blood serum surface-enhanced Raman spectroscopy (SERS) method was investigated on identification and assessment of pulmonaryC. neoformansinfection. The serum SERS measurements were collected from the mice infected withC. neoformansand the healthy mice, in which the infected mice were further divided into four subgroups according to the duration of infection. Based on those SRES measurements, biochemical differences were analyzed among those different groups to investigate the potential biomarkers for identifying and assessing the pulmonaryC. neoformansinfection. Furthermore, partial least square (PLS) analysis followed by linear discriminant analysis (LDA) model was employed to identify pulmonary cryptococcal infection and to assess the degrees of infection with the accuracies of 96.7% and 85.3%, respectively. Therefore, our study has demonstrated the great clinical potential of using serum SERS technique for an accurate identification and assessment of pulmonary cryptococcal infection.