Department of Laboratory Diagnostics, Division of Laboratory Diagnostics, Faculty of Pharmacy, Wroclaw Medical University, Borowska Street 211A, 50-556 Wroclaw, Poland.
Faculty of Chemistry, University of Wrocław, F. Joliot-Curie 14, 50-383 Wrocław, Poland.
Oxid Med Cell Longev. 2022 Jun 6;2022:4777434. doi: 10.1155/2022/4777434. eCollection 2022.
Endometriosis is one of the most common gynecological diseases among young women of reproductive age. Thus far, it has not been possible to define a parameter that is sensitive and specific enough to be a recognized biomarker for diagnosing this disease. Nonspecific symptoms of endometriosis and delayed diagnosis are impulses for researching noninvasive methods of differentiating endometriosis from other gynecological disorders. We compared three groups of individuals in our research: women with endometriosis (E), patients suffering from other gynecological disorders (nonendometriosis, NE), and healthy women from the control group (C). Partial least squares discriminant analysis (PLS-DA) models were developed based on selected serum biochemical parameters, specific regions of the serum's infrared attenuated total reflectance (FTIR ATR) spectra, and combined data. Incorporating the spectral data into the models significantly improved differentiation among the three groups, with an overall accuracy of 87.5%, 97.3%, and 98.5%, respectively. This study shows that infrared spectroscopy and discriminant analysis can be used to differentiate serum samples among women with advanced endometriosis, women without this disease, i.e., healthy women, and, most importantly, also women with other benign gynecological disorders.
子宫内膜异位症是生育期年轻女性最常见的妇科疾病之一。到目前为止，还没有一个足够敏感和特异的参数可以作为诊断这种疾病的公认生物标志物。子宫内膜异位症的非特异性症状和诊断延迟是促使人们研究区分子宫内膜异位症与其他妇科疾病的非侵入性方法的动力。我们在研究中比较了三组个体：子宫内膜异位症患者（E）、患有其他妇科疾病的患者（非子宫内膜异位症，NE）和对照组健康女性（C）。基于选定的血清生化参数、血清的红外衰减全反射（FTIR ATR）光谱的特定区域以及组合数据，开发了偏最小二乘判别分析（PLS-DA）模型。将光谱数据纳入模型显著提高了三组之间的区分度，总体准确率分别为 87.5%、97.3%和 98.5%。这项研究表明，红外光谱和判别分析可用于区分患有晚期子宫内膜异位症的女性、无此病的女性（即健康女性）以及最重要的是患有其他良性妇科疾病的女性的血清样本。
