Koya Satya Kiran, Brusatori Michelle, Martin Jonathan V, Yurgelevic Sally, Huang Changhe, Liberati David M, Auner Gregory W, Diebel Lawrence N
Smart Sensors and Integrated Microsystems, Michael and Marian Ilitch Department of Surgery, School of Medicine, Wayne State University, Detroit, Michigan.
Michael and Marian Ilitch Department of Surgery, School of Medicine, Wayne State University, 6C University Health Center, Detroit, Michigan.
J Surg Res. 2018 Dec;232:195-201. doi: 10.1016/j.jss.2018.06.031. Epub 2018 Jul 9.
Clostridium difficile infection (CDI) is due to the effects of toxins, toxin A and toxin B on the host. Severe CDI is associated with systemic signs of infection. Animal models of CDI demonstrate a strong correlation between systemic toxemia and the occurrence of severe disease. However, current technologies have low sensitivity to detect C difficile toxemia in human subjects. Raman spectroscopy (RS) is an upcoming technology that is used to detect bacteria and their toxins. We speculate that RS may be a sensitive method to detect clinically relevant concentrations of C difficile toxins in serum.
Serum samples were spiked with varying concentrations of toxin A, toxin B, and both. RS was performed on an air-dried serum drop that was placed on a mirror-polished stainless steel slide. Raman spectra were obtained, background corrected, vector normalized, and analyzed by Partial Least Square Linear Discriminant Analysis and Support Vector Machine for Classification. Model accuracy was measured by cross-validation and bootstrap methods.
Toxin-spiked sera of various concentrations (1 ng/mL, 1 pg/mL, and 0.1 pg/mL) were distinguished from control serum 100% with cross-validation error rate ranging from 0% to 18% and bootstrap error rate ranging from 0% to 12% for various concentrations. The sensitivity ranged from 87% to 100% and specificity ranged from 77% to 100% for various concentrations of toxin-spiked serum.
We conclude that RS may be a sensitive method to detect clinically relevant concentrations of C difficile toxins in serum and thus to help diagnose severe CDI in patients in real-time at the point of care.
艰难梭菌感染(CDI)是由毒素A和毒素B对宿主的作用引起的。严重的CDI与感染的全身症状相关。CDI动物模型表明全身毒血症与严重疾病的发生之间存在很强的相关性。然而,目前的技术对检测人类受试者中的艰难梭菌毒血症敏感性较低。拉曼光谱(RS)是一种用于检测细菌及其毒素的新兴技术。我们推测RS可能是一种检测血清中临床相关浓度艰难梭菌毒素的灵敏方法。
向血清样本中加入不同浓度的毒素A、毒素B或两者。在放置于镜面抛光不锈钢载玻片上的风干血清滴上进行拉曼光谱分析。获取拉曼光谱,进行背景校正、向量归一化,并通过偏最小二乘线性判别分析和支持向量机进行分类分析。通过交叉验证和自助法测量模型准确性。
不同浓度(1 ng/mL、1 pg/mL和0.1 pg/mL)的毒素加标血清与对照血清的区分率为100%,不同浓度下交叉验证错误率范围为0%至18%,自助法错误率范围为0%至12%。不同浓度毒素加标血清的灵敏度范围为87%至100%,特异性范围为77%至100%。
我们得出结论,RS可能是一种检测血清中临床相关浓度艰难梭菌毒素的灵敏方法,从而有助于在护理点实时诊断患者的严重CDI。