结肠癌、食管癌、胃癌和肺癌患者血浆中微生物-肠-脑轴相关代谢物的改变

IF 1.7 4区 生物学 Q3 BIOLOGY
Open Life Sciences Pub Date : 2025-05-26 eCollection Date: 2025-01-01 DOI:10.1515/biol-2025-1115
Yuqin Zhao, Kangwei Shen, Qing Lu, Wei Huang, Xuejun Kang, Li Xie
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引用次数: 0

摘要

同时出现的症状,如抑郁、焦虑、疲劳和睡眠障碍,经常与癌症共病。这些癌症相关症状群的原因被假设具有共同的生物学机制。本研究探讨了四种癌症患者血浆样本中某些肠道代谢物(糖皮质激素、短链脂肪酸、肠道微生物色氨酸代谢物)的模式差异。代谢组学分析显示代谢物的差异。采用正交偏最小二乘判别分析方法建立鉴别模型和诊断模型,筛选差异代谢物,并进行受体-工作特征曲线分析,评价模型的性能。筛选到褪黑素(Melatonin, MLT)、吲哚丙酸(吲哚丙酸)和角唑酸(skatole)是四种癌症共有的差异代谢物,提示色氨酸的肠道微生物代谢途径在恶性肿瘤的发生发展中起着关键作用。在单因素分析中,潜在候选生物标志物预测因子的曲线下面积范围为0.771 ~ 0.989,在多因素分析中,曲线下面积范围为0.985 ~ 1.00。多变量模型的敏感性为94.7-100,特异性为96.4-100%。这些生物标志物在区分不同的癌症对方面也有很好的表现。肠道菌群代谢物的分析使我们能够描述各种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发展中起着关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Alterations of metabolites related to microbiota-gut-brain axis in plasma of colon cancer, esophageal cancer, stomach cancer, and lung cancer patients.

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.

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来源期刊
CiteScore
2.50
自引率
4.50%
发文量
131
审稿时长
43 weeks
期刊介绍: Open Life Sciences (previously Central European Journal of Biology) is a fast growing peer-reviewed journal, devoted to scholarly research in all areas of life sciences, such as molecular biology, plant science, biotechnology, cell biology, biochemistry, biophysics, microbiology and virology, ecology, differentiation and development, genetics and many others. Open Life Sciences assures top quality of published data through critical peer review and editorial involvement throughout the whole publication process. Thanks to the Open Access model of publishing, it also offers unrestricted access to published articles for all users.
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