Department of Animal Science, College of Agriculture, Science and Research Branch, Islamic Azad University, Tehran, 14778-93855, Iran.
Laser and Plasma Research Institute, Shahid Beheshti University, Tehran, 19839-69411, Iran.
Sci Rep. 2024 Jul 10;14(1):15895. doi: 10.1038/s41598-024-65443-0.
Inflammatory Bowel Disease includes Crohn's Disease and Ulcerative Colitis. Currently, diagnosing involves a series of current diagnostic methods that are invasive, time-consuming, and expensive. Near-infrared spectroscopy and aquaphotomics can detect changes in biofluids and thus have the potential to diagnose disease. This study aimed to investigate the diagnostic ability of near infrared spectroscopy and aquaphotomics for Inflammatory Bowel Disease and its types. This method used blood plasma and saliva samples absorbance spectrum and multivariate analysis with the Principal Component Analysis and, Linear Discriminant Analysis, Quadratic Discriminant Analysis, and Support Vector Machine in the range 1300-1600 nm and 12 water absorbance bands in this range, separately. In the near-infrared range, total accuracy of 100% led to the separation of the healthy group and Inflammatory Bowel Disease and then the separation of the healthy group and patients with Ulcerative Colitis and Crohn's Disease. The aquaphotomics approach was used to investigate the changes in the 12 water absorbance bands and their impact on the accuracy of the diagnostic method. Aquaphotomics also detected 100% of the mentioned samples. We achieved a fast, accurate, non-invasive method based on near-infrared spectroscopy and aquaphotomics to diagnose Inflammatory Bowel Disease and its types using blood plasma or saliva samples. The current study found that monitoring blood plasma or saliva using near-infrared spectra offers an opportunity to thoroughly investigate biofluids and changes in their water spectral patterns caused by complex physiological changes due to Inflammatory Bowel Disease and its types, and to visualize these changes using aquagram.
炎症性肠病包括克罗恩病和溃疡性结肠炎。目前,诊断涉及一系列当前的诊断方法,这些方法具有侵入性、耗时且昂贵。近红外光谱和水吸收光谱学可以检测生物流体的变化,因此有潜力用于诊断疾病。本研究旨在探讨近红外光谱和水吸收光谱学对炎症性肠病及其类型的诊断能力。该方法使用血液血浆和唾液样本的吸光度谱,并结合主成分分析和线性判别分析、二次判别分析和支持向量机,对 1300-1600nm 范围内和该范围内的 12 个水吸收带进行多变量分析。在近红外范围内,总准确率达到 100%,实现了健康组与炎症性肠病的分离,然后实现了健康组与溃疡性结肠炎和克罗恩病患者的分离。水吸收光谱学方法用于研究 12 个水吸收带的变化及其对诊断方法准确性的影响。水吸收光谱学也检测到了 100%的上述样本。我们使用近红外光谱和水吸收光谱学基于血液血浆或唾液样本实现了一种快速、准确、非侵入性的方法来诊断炎症性肠病及其类型。目前的研究发现,使用近红外光谱监测血液血浆或唾液提供了一个机会,可以彻底研究生物流体及其水光谱模式的变化,这些变化是由炎症性肠病及其类型引起的复杂生理变化引起的,并使用水图谱可视化这些变化。