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病毒性和非病毒性相关肝细胞癌患者的肠道微生物组存在明显差异。

Distinct alterations of gut microbiota between viral- and non-viral-related hepatocellular carcinoma.

机构信息

Center of Excellence in Hepatitis and Liver Cancer, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.

Doctor of Philosophy Program in Medical Sciences, Graduate Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.

出版信息

Appl Microbiol Biotechnol. 2024 Dec;108(1):34. doi: 10.1007/s00253-023-12845-1. Epub 2024 Jan 6.

Abstract

Altered gut microbiota has been connected to hepatocellular carcinoma (HCC) occurrence and advancement. This study was conducted to identify a gut microbiota signature in differentiating between viral-related HCC (Viral-HCC) and non-hepatitis B-, non-hepatitis C-related HCC (NBNC-HCC). Fecal specimens were obtained from 16 healthy controls, 33 patients with viral-HCC (17 and 16 cases with hepatitis B virus (HBV) and hepatitis C virus (HCV) infection, respectively), and 18 patients with NBNC-HCC. Compositions of fecal microbiota were assessed by 16S rRNA sequencing. Bioinformatic analysis was performed by the DADA2 pipeline in the R program. Significantly different genera from the top 50 relative abundance were used to classify between subgroups of HCC by the Random Forest algorithm. Our data demonstrated that the HCC group had a significantly decreased alpha-diversity and changed microbial composition in comparison with healthy controls. Within the top 50 relative abundance, there were 11 genera including Faecalibacterium, Agathobacter, and Coprococcus that were significantly enhanced in Viral-HCC, while 5 genera such as Bacteroides, Streptococcus, Ruminococcus gnavus group, Parabacteroides, and Erysipelatoclostridium were enhanced in NBNC-HCC. Compared to Viral-HCC, the NBNC-HCC subgroup significantly reduced various short-chain fatty acid-producing bacteria, as well as declined fecal butyrate but elevated plasma surrogate markers of microbial translocation. Based on the machine learning algorithm, a high diagnostic accuracy to classify HCC subgroups was achieved with an area under the receiver-operating characteristic (ROC) curve (AUC) of 0.94. Collectively, these data revealed that gut dysbiosis was distinct according to etiological factors of HCC, which might play an essential role in hepatocarcinogenesis. These findings underscore the possible use of a gut microbiota signature for the diagnosis and therapeutic approaches regarding different subgroups of HCC. KEY POINTS: • Gut dysbiosis is connected to hepatocarcinogenesis and can be used as a novel biomarker. • Gut microbiota composition is significantly altered in different etiological factors of HCC. • Microbiota-based signature can accurately distinguish between Viral-HCC and NBNC-HCC.

摘要

肠道微生物群的改变与肝细胞癌(HCC)的发生和发展有关。本研究旨在鉴定一种肠道微生物群特征,以区分病毒相关 HCC(Viral-HCC)和非乙型肝炎、非丙型肝炎相关 HCC(NBNC-HCC)。从 16 名健康对照者、33 名病毒性 HCC 患者(分别为 17 名和 16 名乙型肝炎病毒(HBV)和丙型肝炎病毒(HCV)感染者)和 18 名 NBNC-HCC 患者中获得粪便标本。通过 16S rRNA 测序评估粪便微生物群的组成。通过 R 程序中的 DADA2 管道进行生物信息学分析。使用随机森林算法通过前 50 个相对丰度的显著不同属来对 HCC 亚组进行分类。我们的数据表明,与健康对照组相比,HCC 组的 alpha 多样性显著降低,微生物组成发生改变。在前 50 个相对丰度中,有 11 个属,包括粪杆菌、阿克曼菌和真杆菌,在病毒性 HCC 中显著增加,而 5 个属,如拟杆菌、链球菌、瘤胃球菌组、副拟杆菌和产肠毒素梭菌,在 NBNC-HCC 中增加。与病毒性 HCC 相比,NBNC-HCC 亚组显著减少了各种产生短链脂肪酸的细菌,粪便丁酸减少,但血浆微生物易位的替代标志物升高。基于机器学习算法,对 HCC 亚组进行分类的诊断准确性很高,接收器工作特征(ROC)曲线下的面积(AUC)为 0.94。总之,这些数据表明,根据 HCC 的病因因素,肠道菌群失调是明显的,这可能在肝癌发生中起重要作用。这些发现强调了使用肠道微生物群特征对不同亚组 HCC 的诊断和治疗方法的可能用途。

关键点

  • 肠道菌群失调与肝癌发生有关,可作为新型生物标志物。

  • 不同病因 HCC 患者的肠道微生物群组成发生显著改变。

  • 基于微生物组的特征可准确区分病毒性 HCC 和 NBNC-HCC。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4a7/10771587/bcec7ffb91f4/253_2023_12845_Fig1_HTML.jpg

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