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结直肠癌患者粪便以及配对的肿瘤组织和非肿瘤组织中的肠道微生物群谱。与体重指数的关系。

Gut microbiota profiles in feces and paired tumor and non-tumor tissues from Colorectal Cancer patients. Relationship to the Body Mass Index.

作者信息

Tesolato Sofía, Ortega-Hernández Adriana, Gómez-Garre Dulcenombre, Claver Paula, De Juan Carmen, De la Serna Sofía, Paz Mateo, Domínguez-Serrano Inmaculada, Dziakova Jana, Rivera Daniel, Torres Antonio, Iniesta Pilar

机构信息

Department of Biochemistry and Molecular Biology, Faculty of Pharmacy, Complutense University, Madrid, Spain.

San Carlos Health Research Institute (IdISSC), Madrid, Spain.

出版信息

PLoS One. 2023 Oct 5;18(10):e0292551. doi: 10.1371/journal.pone.0292551. eCollection 2023.

DOI:10.1371/journal.pone.0292551
PMID:37796924
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10553240/
Abstract

Colorectal Cancer (CRC) and Obesity constitute two of the most common malignancies in the western world, and previously have been associated with intestinal microbial composition alterations. Our main aim in this study is to provide molecular data on intestinal microbiota patterns in subjects with CRC, as well as to establish possible associations with their Body Mass Index (BMI). A total of 113 samples from 45 subjects were collected and submitted to metagenomics analysis for gut microbiota. This study was performed by 16S ribosomal RNA bacterial gene amplification and sequencing using the Ion Torrent™ technology. The same dominant phyla were observed in feces and colorectal tissues, although a greater proportion of Fusobacteriota was found in tumor samples. Moreover, at the genus level, LEfSe analysis allowed us to detect a significant increase in Fusobacterium and Streptococcus in colorectal tissues with respect to fecal samples, with a significant preponderance of Fusobacterium in tumor tissues. Also, our data revealed relevant associations between gut microbiota composition and tumor location. When comparing bacterial profiles between right and left colon cancers, those from the left-sided colon showed a significant preponderance, among others, of the order Staphylococcales. Moreover, phyla Firmicutes and Spirochaetota were more abundant in the group of right-sided CRCs and phylum Proteobacteria was increased in rectal cancers. In relation to BMI of patients, we detected significant differences in beta diversity between the normal weight and the obese groups of cases. Microbiota from obese patients was significantly enriched, among others, in Bacteroidales. Therefore, our results are useful in the molecular characterization of CRC in obese and non-obese patients, with a clear impact on the establishment of diagnostic and prognosis of CRC.

摘要

结直肠癌(CRC)和肥胖是西方世界最常见的两种恶性肿瘤,此前一直与肠道微生物组成改变有关。本研究的主要目的是提供CRC患者肠道微生物群模式的分子数据,并确定其与体重指数(BMI)之间可能存在的关联。共收集了45名受试者的113份样本,并将其提交用于肠道微生物群的宏基因组学分析。本研究采用Ion Torrent™技术通过16S核糖体RNA细菌基因扩增和测序进行。在粪便和结直肠组织中观察到相同的优势菌门,尽管在肿瘤样本中发现梭杆菌门的比例更高。此外,在属水平上,线性判别分析效应大小(LEfSe)分析使我们能够检测到结直肠组织中相对于粪便样本,梭杆菌属和链球菌属显著增加,其中梭杆菌属在肿瘤组织中占优势。此外,我们的数据揭示了肠道微生物群组成与肿瘤位置之间的相关关联。比较右半结肠癌和左半结肠癌的细菌谱时,左侧结肠癌的细菌谱显示葡萄球菌目等菌门显著占优势。此外,厚壁菌门和螺旋体门在右侧CRC组中更为丰富,而变形菌门在直肠癌中增加。关于患者的BMI,我们检测到正常体重组和肥胖病例组之间的β多样性存在显著差异。肥胖患者的微生物群在拟杆菌目中显著富集。因此,我们的结果有助于对肥胖和非肥胖患者的CRC进行分子特征分析,对CRC的诊断和预后判断有明显影响。

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Combing fecal microbial community data to identify consistent obesity-specific microbial signatures and shared metabolic pathways.整合粪便微生物群落数据以识别一致的肥胖特异性微生物特征和共享代谢途径。
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