Ayala O D, Wakeman C A, Pence I J, O'Brien C M, Werkhaven J A, Skaar E P, Mahadevan-Jansen A
Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Department of Pathology, Microbiology, & Immunology, Vanderbilt University Medical Center, Nashville, TN, USA.
Anal Methods. 2017 Mar 28;9(12):1864-1871. doi: 10.1039/c7ay00128b. Epub 2017 Feb 20.
Otitis media (OM) is a prevalent disease that is the most frequent cause of physician visits and prescription of antibiotics for children. Current methods to diagnose OM and differentiate between the two main types of OM, acute otitis media (AOM) and otitis media with effusion (OME), rely on interpreting symptoms that may overlap between them. Since AOM requires antibiotic treatment and OME does not, there is a clinical need to distinguish between AOM and OME to determine whether antibiotic treatment is necessary and guide future prescriptions. We used an optical spectroscopy technique, Raman spectroscopy (RS), to identify and characterize the biochemical features of the three main pathogens that cause AOM . A Renishaw inVia confocal Raman microscope at 785 nm was used to spectrally investigate the Raman signatures of , , and . Biochemical features or biomarkers important for classification of each bacterial species were identified and yielded a 97% accuracy of discrimination. To test the effectiveness of Raman-based bacterial classification in a clinical sample, human middle ear effusion (MEE) from patients affected by recurrent AOM was collected, cultured, and measured using RS. The probability of bacterial involvement from each of the three main bacteria that cause AOM was determined from the clinical MEE samples. These results suggest the potential of utilizing RS to aid in accurately diagnosing AOM and providing physicians with bacterial identification to guide treatment.
中耳炎(OM)是一种常见疾病,是儿童就医和使用抗生素处方的最常见原因。目前诊断中耳炎以及区分两种主要类型中耳炎,即急性中耳炎(AOM)和中耳积液(OME)的方法,依赖于对可能在两者之间重叠的症状进行解读。由于AOM需要抗生素治疗而OME不需要,临床上需要区分AOM和OME,以确定是否需要抗生素治疗并指导未来的处方。我们使用了一种光谱技术,拉曼光谱(RS),来识别和表征导致AOM的三种主要病原体的生化特征。使用一台785nm的雷尼绍inVia共聚焦拉曼显微镜对肺炎链球菌、流感嗜血杆菌和卡他莫拉菌的拉曼特征进行光谱研究。确定了对每种细菌分类重要的生化特征或生物标志物,其鉴别准确率达97%。为了测试基于拉曼的细菌分类在临床样本中的有效性,收集了复发性AOM患者的人中耳积液(MEE),进行培养并用RS测量。从临床MEE样本中确定了导致AOM的三种主要细菌中每种细菌感染的可能性。这些结果表明利用RS辅助准确诊断AOM并为医生提供细菌鉴定以指导治疗的潜力。