文献类型： 外文期刊

作者： Zhou, Wenli ¹ ; Zhang, De ² ; Li, Zhengpeng ² ; Jiang, Huiqing ⁵ ; Li, Jingnan ⁶ ; Ren, Rongrong ² ; Gao, Xuefeng ⁷ ; Li, ¹ ;

作者机构： 1.Nankai Univ, Sch Med, Tianjin 300190, Peoples R China

2.Chinese Peoples Liberat Army Gen Hosp, Med Ctr 1, Dept Gastroenterol & Hepatol, Micriobiota Div, Beijing 100853, Peoples R China

3.Chinese Peoples Liberat Army Gen Hosp, Sch Med, Beijing 100853, Peoples R China

4.Zhejiang Acad Agr Sci, Inst Plant Protect & Microbiol, Hangzhou 310021, Peoples R China

5.Hebei Med Univ, Dept Gastroenterol, Affiliated Hosp 2, Shijiazhuang 050000, Hebei, Peoples R China

6.Peking Union Hosp, Dept Gastroenterol, Beijing 100005, Peoples R China

7.Shenzhen Univ, Dept Gastroenterol & Hepatol, Gen Hosp, Shenzhen 518055, Peoples R China

8.Shenzhen Univ, Clin Med Acad, Shenzhen 518060, Peoples R China

9.Chinese Peoples Liberat Army Gen Hosp, Natl Clin Res Ctr Geriatr Dis, Beijing 100853, Peoples R China

关键词： Pancreatic ductal adenocarcinoma; Autoimmune pancreatitis; Fecal microbiota; Metagenomic sequencing; Butyrate

期刊名称：JOURNAL OF TRANSLATIONAL MEDICINE （ 影响因子：4.124； 五年影响因子：4.541 ）

ISSN：

年卷期： 2021 年 19 卷 1 期

页码：

收录情况： SCI

摘要： Background The fecal microbiota in pancreatic ductal adenocarcinoma (PDAC) and in autoimmune pancreatitis (AIP) patients remains largely unknown. We aimed to characterize the fecal microbiota in patients with PDAC and AIP, and explore the possibility of fecal microbial biomarkers for distinguishing PDAC and AIP. Methods 32 patients with PDAC, 32 patients with AIP and 32 age- and sex-matched healthy controls (HC) were recruited and the fecal microbiotas were analyzed through high-throughput metagenomic sequencing. Alterations of fecal short-chain fatty acids were measured using gas chromatographic method. Results Principal coordinate analysis (PCoA) revealed that microbial compositions differed significantly between PDAC and HC samples; whereas, AIP and HC individuals tended to cluster together. Significant reduction of phylum Firmicutes (especially butyrate-producing bacteria, including Eubacterium rectale, Faecalibacterium prausnitzii and Roseburia intestinalis) and significant increase of phylum Proteobacteria (especially Gammaproteobacteria) were observed only among PDAC samples. At species level, when compared with HC samples, we revealed 24 and 12 differently enriched bacteria in PDAC and AIP, respectively. Functional analysis showed a depletion of short-chain fatty acids synthesis associated KO modules (e.g. Wood-Ljungdahl pathway) and an increase of KO modules associated with bacterial virulence (e.g. type II general secretion pathway). Consistent with the downregulation of butyrate-producing bacteria, gas chromatographic analysis showed fecal butyrate content was significantly decreased in PDAC group. Eubacterium rectale, Eubacterium ventrisum and Odoribacter splanchnicus were among the most important biomarkers in distinguishing PDAC from HC and from AIP individuals. Receiver Operating Characteristic analysis showed areas under the curve of 90.74% (95% confidence interval [CI] 86.47-100%), 88.89% (95% CI 73.49-100%), and 76.54% (95% CI 52.5-100%) for PDAC/HC, PDAC/AIP and AIP/HC, respectively. Conclusions In conclusion, alterations in fecal microbiota and butyrate of patients with PDAC suggest an underlying role of gut microbiota for the pathogenesis of PDAC. Fecal microbial and butyrate as potential biomarkers may facilitate to distinguish patients with PDAC from patients with AIP and HCs which worth further validation.