State Key Laboratory of Pathogenesis, Prevention, and Treatment of Central Asian High Incidence Diseases, Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical University, No. 137 Liyushan South Road, Urumqi, Xinjiang 830054, China; School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China.
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Photodiagnosis Photodyn Ther. 2022 Jun;38:102811. doi: 10.1016/j.pdpdt.2022.102811. Epub 2022 Mar 15.
In this paper, we investigated the feasibility of using urine for surface-enhanced Raman spectroscopy (SERS) for the rapid screening of patients with liver cirrhosis and hepatocellular carcinoma (HCC). The SERS spectra were recorded from the urine of 49 liver cirrhosis, 55 HCC, and 50 healthy volunteers using a Raman spectrometer. The normalized mean Raman spectra showed the difference of specific biomolecules associated with the illnesses, and the metabolism of specific nucleic acids and amino acids is abnormal in patients with liver cirrhosis and HCC. Based on the SVM algorithm, the urine SERS method could identify liver cirrhosis (sensitivity 88.9%, specificity 83.3%, and accuracy 85.9%) and HCC (sensitivity 85.5%, specificity 84.0%, and accuracy 84.8%). It has a higher diagnostic sensitivity for HCC than serum Alpha fetoprotein (AFP). This exploratory study showed that the urine SERS spectra combined with the SVM algorithm has indicated great potential in the noninvasive identification of liver cirrhosis and HCC.
在本文中，我们研究了利用尿液进行表面增强拉曼光谱（SERS）快速筛选肝硬化和肝细胞癌（HCC）患者的可行性。使用拉曼光谱仪从 49 名肝硬化患者、55 名 HCC 患者和 50 名健康志愿者的尿液中记录了 SERS 光谱。归一化平均拉曼光谱显示出与疾病相关的特定生物分子的差异，肝硬化和 HCC 患者的特定核酸和氨基酸代谢异常。基于 SVM 算法，尿 SERS 方法可识别肝硬化（灵敏度 88.9%，特异性 83.3%，准确性 85.9%）和 HCC（灵敏度 85.5%，特异性 84.0%，准确性 84.8%）。它对 HCC 的诊断灵敏度高于血清甲胎蛋白（AFP）。这项探索性研究表明，尿 SERS 光谱结合 SVM 算法在肝硬化和 HCC 的非侵入性识别方面具有巨大潜力。
