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利用双组学平台探索结直肠癌患者的肠道微环境:与腺瘤性息肉或潜血的比较。

Exploring Gut Microenvironment in Colorectal Patient with Dual-Omics Platform: A Comparison with Adenomatous Polyp or Occult Blood.

作者信息

Wei Po-Li, Wu Ming-Shun, Huang Chun-Kai, Ho Yi-Hsien, Hung Ching-Sheng, Lin Ying-Chin, Tsao Mei-Fen, Lin Jung-Chun

机构信息

Division of Colorectal Surgery, Department of Surgery, Taipei Medical University Hospital, Taipei Medical University, Taipei 110, Taiwan.

Cancer Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei 110, Taiwan.

出版信息

Biomedicines. 2022 Jul 19;10(7):1741. doi: 10.3390/biomedicines10071741.

DOI:10.3390/biomedicines10071741
PMID:
35885045
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9313112/
Abstract

The gut mucosa is actively absorptive and functions as the physical barrier to separate the gut ecosystem from host. Gut microbiota-utilized or food-derived metabolites are closely relevant to the homeostasis of the gut epithelial cells. Recent studies widely suggested the carcinogenic impact of gut dysbiosis or altered metabolites on the development of colorectal cancer (CRC). In this study, liquid chromatography coupled-mass spectrometry and long-read sequencing was applied to identify gut metabolites and microbiomes with statistically discriminative abundance in CRC patients ( = 20) as compared to those of a healthy group ( = 60) ofenrolled participants diagnosed with adenomatous polyp ( = 67) or occult blood ( = 40). In total, alteration in the relative abundance of 90 operational taxonomic units (OTUs) and 45 metabolites were identified between recruited CRC patients and healthy participants. Among the candidates, the gradual increases in nine OTUs or eight metabolites were identified in healthy participants, patients diagnosed with occult blood and adenomatous polyp, and CRC patients. The random forest regression model constructed with five OTUs or four metabolites achieved a distinct classification potential to differentially discriminate the presence of CRC (area under the ROC curve (AUC) = 0.998 or 0.975) from the diagnosis of adenomatous polyp (AUC = 0.831 or 0.777), respectively. These results provide the validity of CRC-associated markers, including microbial communities and metabolomic profiles across healthy and related populations toward the early screening or diagnosis of CRC.

摘要

肠道黏膜具有活跃的吸收功能,作为将肠道生态系统与宿主分隔开的物理屏障。肠道微生物利用的或食物来源的代谢产物与肠道上皮细胞的稳态密切相关。最近的研究广泛表明,肠道微生物群失调或代谢产物改变对结直肠癌(CRC)的发生具有致癌影响。在本研究中,应用液相色谱-质谱联用和长读长测序技术,以确定CRC患者(n = 20)与健康组(n = 60)相比具有统计学差异丰度的肠道代谢产物和微生物群,健康组包括诊断为腺瘤性息肉(n = 67)或潜血(n = 40)的入组参与者。总共在招募的CRC患者和健康参与者之间鉴定出90个可操作分类单元(OTU)和45种代谢产物的相对丰度变化。在这些候选物中,在健康参与者、诊断为潜血和腺瘤性息肉的患者以及CRC患者中鉴定出9个OTU或8种代谢产物的逐渐增加。用5个OTU或4种代谢产物构建的随机森林回归模型分别具有明显的分类潜力,可将CRC的存在(ROC曲线下面积(AUC)= 0.998或0.975)与腺瘤性息肉的诊断(AUC = 0.831或0.777)进行差异区分。这些结果提供了CRC相关标志物的有效性,包括跨健康和相关人群的微生物群落和代谢组学谱,用于CRC的早期筛查或诊断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a2/9313112/74c47e6e9b0e/biomedicines-10-01741-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a2/9313112/01728d6705b0/biomedicines-10-01741-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a2/9313112/95ac43c5a29d/biomedicines-10-01741-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a2/9313112/7a874544a5a3/biomedicines-10-01741-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a2/9313112/7c4f124fa6ac/biomedicines-10-01741-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a2/9313112/cf00b3365992/biomedicines-10-01741-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a2/9313112/acb2626fada4/biomedicines-10-01741-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a2/9313112/1b4958ac01f0/biomedicines-10-01741-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a2/9313112/b4ad3f382cac/biomedicines-10-01741-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a2/9313112/74c47e6e9b0e/biomedicines-10-01741-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a2/9313112/01728d6705b0/biomedicines-10-01741-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a2/9313112/95ac43c5a29d/biomedicines-10-01741-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a2/9313112/7a874544a5a3/biomedicines-10-01741-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a2/9313112/7c4f124fa6ac/biomedicines-10-01741-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a2/9313112/cf00b3365992/biomedicines-10-01741-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a2/9313112/acb2626fada4/biomedicines-10-01741-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a2/9313112/1b4958ac01f0/biomedicines-10-01741-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a2/9313112/b4ad3f382cac/biomedicines-10-01741-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a2/9313112/74c47e6e9b0e/biomedicines-10-01741-g009.jpg

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