Suppr超能文献

埃塞俄比亚阿姆哈拉州转诊医院的结直肠癌患者中与黏膜相关的可培养需氧肠道细菌微生物群

Mucosa-associated cultivable aerobic gut bacterial microbiota among colorectal cancer patients attending at the referral hospitals of Amhara Regional State, Ethiopia.

作者信息

Siraj Yesuf Adem, Biadgelign Melesse Gebeyehu, Yassin Mensur Osman, Chekol Yohannes Zenebe

机构信息

Department of Medical Laboratory Sciences, School of Health Sciences, College of Medicine and Health Sciences, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia.

CDT-Africa, College of Health Sciences, Addis Ababa University, P.O. Box 9086, Addis Ababa, Ethiopia.

出版信息

Gut Pathog. 2021 Mar 22;13(1):19. doi: 10.1186/s13099-021-00415-7.

Abstract

BACKGROUND

Colorectal cancer (CRC) is one of the top ten causes of cancer deaths in the world. Despite an increased prevalence of colorectal cancer has been documented from developing countries, there is no any report regarding gut microbiota among colorectal cancer patients in Ethiopia. Therefore, the current study evaluated cultivable aerobic gut bacterial distributions among malignant and its adjacent normal biopsies of CRC patients.

METHODS

CRC patients who were under colorectal cancer resection surgery during April 2017 to February 2018 at Felege Hiwot Referral and University of Gondar Teaching Hospitals enrolled in the study. Biopsy specimens were taken from malignant and its adjacent normal-appearing tissues. Bacterial cultivation, quantification and characterization of saline washed biopsies were performed under aerobic and candle jar conditions. Differences in bacterial microbiota compositions between malignant and normal tissue biopsies were evaluated and analyzed using Microsoft excel 2010 and GraphPad Prism5 statistical software.

RESULTS

Fifteen CRC patients were participated with a mean age of 53.8 ± 10.8 years old and majorities (73.3 %) of patients were in between the age groups of 40 and 60 years old. The mean ± SD bacterial microbiota of malignant biopsies (3.2 × 10 ± 1.6 × 10 CFU/ml) was significantly fewer than that of adjacent normal tissue biopsies (4.0 × 10 ± 2.2 × 10 CFU/ml). This dysbacteriosis is positively correlated with the occurrence of CRC (p = 0.019). Proteobacteria (55.6 %), Firmicutes (33.3 %) and Fusobacteria (11.1 %) were the most frequently isolated phyla from non-malignant biopsies while only Proteobacteria (58.8 %) and Firmicutes (41.2 %) were from malignant ones. Family level differences were observed among phyla (Firmicutes and Proteobacteria) isolated from the study participants. For instance, the relative abundance of family Bacillaceae from malignant (26 %) was lower than the normal biopsies (39 %). On other hand, family Enterobacteriaceae was twice more abundant in malignant tissues (45 %) than in its matched normal tissues (23 %). Furthermore, the family Enterococcaceae (14 %) of phylum Firmicutes was solely isolated from malignant tissue biopsies.

CONCLUSIONS

The overall microbial composition of normal and malignant tissues was considerably different among the study participants. Further culture independent analysis of mucosal microbiota will provide detail pictures of microbial composition differences and pathogenesis of CRC in Ethiopian settings.

摘要

背景

结直肠癌(CRC)是全球癌症死亡的十大原因之一。尽管发展中国家的结直肠癌患病率有所上升,但埃塞俄比亚尚无关于结直肠癌患者肠道微生物群的任何报告。因此,本研究评估了CRC患者恶性及相邻正常活检组织中可培养需氧肠道细菌的分布。

方法

纳入2017年4月至2018年2月在费莱格·希沃特转诊医院和贡德尔大学教学医院接受结直肠癌切除手术的CRC患者。从恶性及其相邻的外观正常组织中采集活检标本。在需氧和烛缸条件下对生理盐水冲洗后的活检标本进行细菌培养、定量和鉴定。使用Microsoft excel 2010和GraphPad Prism5统计软件评估和分析恶性和正常组织活检之间细菌微生物群组成的差异。

结果

15名CRC患者参与研究,平均年龄为53.8±10.8岁,大多数(73.3%)患者年龄在40至60岁之间。恶性活检组织的平均±标准差细菌微生物群(3.2×10±1.6×10 CFU/ml)明显少于相邻正常组织活检(4.0×10±2.2×10 CFU/ml)。这种菌群失调与CRC的发生呈正相关(p = 0.019)。变形菌门(55.6%)、厚壁菌门(33.3%)和梭杆菌门(11.1%)是从非恶性活检中最常分离出的菌门,而从恶性活检中仅分离出变形菌门(58.8%)和厚壁菌门(41.2%)。在从研究参与者中分离出的菌门(厚壁菌门和变形菌门)之间观察到科级差异。例如,恶性组织中芽孢杆菌科的相对丰度(26%)低于正常活检组织(39%)。另一方面,肠杆菌科在恶性组织中的丰度(45%)是其匹配正常组织(23%)的两倍。此外,厚壁菌门的肠球菌科(14%)仅从恶性组织活检中分离出来。

结论

研究参与者中正常和恶性组织的总体微生物组成存在显著差异。进一步对黏膜微生物群进行非培养分析将提供埃塞俄比亚环境中微生物组成差异和CRC发病机制的详细情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf6/7983201/025a8c548f8a/13099_2021_415_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验