Department of Biomedical Engineering, Vanderbilt University, Nashville, TN.
Transl Oncol. 2012 Jun;5(3):172-9. doi: 10.1593/tlo.12106. Epub 2012 Jun 1.
Detecting human papillomaviruses (HPVs) infection in cervical cells is an exceedingly important part of the clinical management of cervical dysplasia. Current guidelines in women's health outline the need for both the Papanicolaou test as well as high-risk HPV testing. Testing for HPV is expensive, is time-consuming, and requires experienced technicians.
Two sets of near-infrared Raman microspectroscopy experiments were conducted using a Raman confocal microscope system. First, Raman spectra were acquired from four different cell culture lines, two positive for HPV (HeLa, SiHa), one negative for HPV, but malignant (C33A), and one normal, HPV-negative line (NHEK). The three malignant lines were all derived from cervical cells. Second, Raman spectra were acquired from deidentified patient samples that were previously tested for the presence of high-risk HPV.
The spectra from the cell culture lines and the patient samples contained many statistically significant differences. Using sparse multinomial logistic regression to classify the data led to classification accuracies of 89% to 97% for the cell culture samples and 98.5% for the patient samples.
Raman micro-spectroscopy can be used to detect HPV and differentiate among specific HPV strains. This technique may provide health providers with a new method for quickly testing cell samples for the presence of HPV.
检测宫颈细胞中的人乳头瘤病毒（HPV）感染是宫颈发育不良临床管理的重要组成部分。当前的妇女健康指南概述了需要进行巴氏涂片检查和高危型 HPV 检测。HPV 检测既昂贵又耗时，并且需要经验丰富的技术人员。
使用共焦拉曼显微镜系统进行了两组近红外拉曼微光谱实验。首先，从四个不同的细胞培养系中获得拉曼光谱，其中两个 HPV 阳性（HeLa、SiHa），一个 HPV 阴性但恶性（C33A），一个正常、HPV 阴性系（NHEK）。这三个恶性系均源自宫颈细胞。其次，从先前经过高危型 HPV 检测的患者样本中获得拉曼光谱。
细胞培养系和患者样本的光谱包含许多具有统计学意义的差异。使用稀疏多项逻辑回归对数据进行分类，对细胞培养样本的分类准确率为 89%至 97%，对患者样本的分类准确率为 98.5%。
拉曼微光谱可用于检测 HPV 并区分特定的 HPV 株。该技术可为医疗保健提供者提供一种快速检测细胞样本中 HPV 存在的新方法。
