The potential roles of gut microbiome in anal fistula

被引:0
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作者
Ping Cai
Hao Rong
Qiaoqiao Zhu
Xiaoyu Dai
Jianpei Zhao
机构
[1] Ningbo No.2 Hospital,
[2] Ningbo Institute of Life and Health Industry,undefined
[3] University of Chinese Academy of Sciences,undefined
[4] Key Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province,undefined
[5] The Affiliated Hospital of Medical School of Ningbo University,undefined
[6] Department of Preventive Medicine,undefined
[7] Zhejiang Provincial Key Laboratory of Pathological and Physiological Technology,undefined
[8] School of Medicine,undefined
来源
AMB Express | / 13卷
关键词
Anal fistula; Gut microbiome; 16S rRNA gene sequencing; Clinical research;
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摘要
Anal fistula is a common proctological disease, but the thorough mechanisms of the anal fistula formation are still unclear. An increasing number of studies have revealed the crucial role of gut microbiota in intestinal diseases. We used 16S rRNA gene sequencing to analyze the intestinal microbiome in order to determine whether there are differences in the microbiome between anal fistula patients and healthy individuals. The microbiome samples were extracted by repeatedly wiping the rectal wall with intestinal swab. Before this operation, the whole intestine of all participants was irrigated and the score of the Boston bowel preparation scale reached 9. The biodiversity of gut microbiome of rectum revealed significant difference between anal fistula patients and healthy individuals. 36 discriminative taxa were identified by LEfSe analysis between two groups. At the phylum level, Synergistetes was enriched in anal fistula patients, while Proteobacteria was higher in healthy individuals. We also found that at the genus level, Blautia, Faecalibacterium, Ruminococcus, Coprococcus, Bacteroides, Clostridium, Megamonas and Anaerotruncus were highly enriched in anal fistula patients, while the microbiome of healthy individuals was enriched with Peptoniphilus and Corynebacterium. Spearman correlations showed the extensive and close association among genera and species. Finally, a diagnostic prediction model was constructed by random forest classifier, and the area under curve (AUC) reached 0.990. This study gave an important hint for analyzing gut microbiome of rectum in anal fistula patient.
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