Zhao Yuqin, Shen Kangwei, Lu Qing, Huang Wei, Kang Xuejun, Xie Li
Gynecology Department, Jiangsu Province Hospital of Chinese Medicine, Nanjing, Jiangsu, 210029, China.
Key Laboratory of Child Development and Learning Science (Ministry of Education), School of Biological Science & Medical Engineering, Southeast University, Nanjing, 210096, PR China.
Open Life Sci. 2025 May 26;20(1):20251115. doi: 10.1515/biol-2025-1115. eCollection 2025.
Co-occurring symptoms such as depression, anxiety, fatigue, and sleep disorders are frequently comorbid with cancer. The causes of these cancer-related symptom clusters are hypothesized sharing a common biological mechanism. This study explored pattern differences of some gut metabolites (glucocorticoids, short-chain fatty acids, gut microbial metabolites from tryptophan) in plasma samples from patients with four types of cancer. Metabolomics analysis was performed to indicate the differences of metabolites. Discrimination model and diagnostic model were constructed using orthogonal partial least squares discriminant analysis, and differential metabolites were screened, then receiver-operating characteristic curve analysis was performed to evaluate the performance of these models. Melatonin (MLT), indole propionic, and skatole were screened as the common differential metabolites shared by four types of cancer, indicating that the intestinal microbial metabolic pathway of tryptophan plays a key role in the occurrence and development of malignant tumors. The area under the curve values for the potential candidate biomarker predictors in univariate analysis ranged from 0.771 to 0.989, and in multivariate analysis ranged from 0.985 to 1.00. The sensitivity and specificity of the multivariable model were 94.7-100 and 96.4-100%, respectively. These biomarkers also had good performance in discriminating different pairs of cancer. The analysis of gut microbiota metabolites allows us to characterize the common metabolic characteristics of patients with various cancers. The intestinal microbial metabolic pathway of tryptophan plays a key role in the occurrence and development of malignant tumors.
诸如抑郁、焦虑、疲劳和睡眠障碍等并发症状常与癌症同时出现。这些与癌症相关的症状群的病因被推测存在共同的生物学机制。本研究探讨了四种癌症患者血浆样本中一些肠道代谢物(糖皮质激素、短链脂肪酸、色氨酸的肠道微生物代谢物)的模式差异。进行代谢组学分析以表明代谢物的差异。使用正交偏最小二乘判别分析构建判别模型和诊断模型,筛选差异代谢物,然后进行受试者工作特征曲线分析以评估这些模型的性能。褪黑素(MLT)、吲哚丙酸和粪臭素被筛选为四种癌症共有的常见差异代谢物,表明色氨酸的肠道微生物代谢途径在恶性肿瘤的发生和发展中起关键作用。单变量分析中潜在候选生物标志物预测指标的曲线下面积值范围为0.771至0.989,多变量分析中范围为0.985至1.00。多变量模型的敏感性和特异性分别为94.7 - 100%和96.4 - 100%。这些生物标志物在区分不同类型癌症方面也具有良好的性能。肠道微生物代谢物分析使我们能够表征各类癌症患者的共同代谢特征。色氨酸的肠道微生物代谢途径在恶性肿瘤的发生和发展中起关键作用。