优化红外光谱鉴别以增强疾病诊断：通过抗TNFα治疗监测炎症性肠病的特征
Optimizing infrared spectral discrimination to enhance disease diagnostics: monitoring the signatures of inflammatory bowel diseases with anti-TNFα therapy.
作者信息
Ghimire Hemendra, Hu Xinjie, Qin Gengsheng, Unil Perera A G
机构信息
Department of Physics and Astronomy, Georgia State University, Atlanta, GA 30303, USA.
Interactions of radiation with matter laboratories, Georgia State University, Atlanta, GA 30303, USA.
出版信息
Biomed Opt Express. 2020 Jul 27;11(8):4679-4694. doi: 10.1364/BOE.394895. eCollection 2020 Aug 1.
Abstract
This study presents an application of infrared spectroscopy of sera for monitoring the efficacy of anti-TNFα therapy for inflammatory bowel diseases. Understanding the therapeutic response includes the analysis of absorption bands representing constituent molecules. Interleukin-10 knockout mouse model of the diseases with anti-TNFα treatment was used. The discrimination potential is optimized by analyzing data with curve fitting. It shows; antibody therapy markedly ameliorated the disease, concurring with earlier mucosal immunology and pathophysiologic studies. This technique may thus also be useful for the evaluation of mucosal healing or other therapeutic modalities of gastrointestinal tract diseases keeping the endoscopic tests as confirmatory.
摘要
本研究展示了血清红外光谱在监测抗TNFα治疗炎症性肠病疗效中的应用。了解治疗反应包括对代表组成分子的吸收带进行分析。使用了抗TNFα治疗的白细胞介素-10基因敲除小鼠疾病模型。通过曲线拟合分析数据来优化鉴别潜力。结果显示，抗体治疗显著改善了疾病，这与早期的黏膜免疫学和病理生理学研究结果一致。因此，这项技术可能也有助于评估胃肠道疾病的黏膜愈合或其他治疗方式，以内镜检查作为确认手段。
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