Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Med.

Sec. Hepatobiliary Diseases

Circulating Microbiome Profiling in Transjugular Intrahepatic Portosystemic Shunt (TIPS) Patients: 16S rRNA vs. Shotgun Sequencing

Provisionally accepted
Jingxiang  ZhangJingxiang Zhang1Xiaoshuang  XuXiaoshuang Xu1Lei  ChenLei Chen1Xincheng  YangXincheng Yang1Júlio  Ken MatsubaraJúlio Ken Matsubara2Yuyao  TianYuyao Tian3Jiahua  LiuJiahua Liu1Xiaoxu  JinXiaoxu Jin1He  ChangHe Chang1Menghui  XuMenghui Xu1Chunyang  ZhuChunyang Zhu1Xin  WangXin Wang1Lingxuan  RenLingxuan Ren1Jiale  XieJiale Xie1Jiale  LiuJiale Liu4Guifen  LiuGuifen Liu1Mengyao  LuMengyao Lu4Xiaowen  WangXiaowen Wang5Longqi  DuLongqi Du5Zilin  MaZilin Ma6Xuechen  LiuXuechen Liu1Huimin  ZhaoHuimin Zhao7Wei  ChenWei Chen7Xiaohui  HuoXiaohui Huo8Guoqi  ZhengGuoqi Zheng9Changshun  XieChangshun Xie10Chao  XuChao Xu11Xueqiang  ZhangXueqiang Zhang1*Wei  QiWei Qi1*Zhijie  FengZhijie Feng1*
  • 1Department of Gastroenterology, Hebei Key Laboratory of Gastroenterology, Hebei Institute of Gastroenterology, Hebei Clinical Research Center for Digestive Diseases, Second Hospital of Hebei Medical University, Shijiazhuang, China
  • 2Marília Medical School, SaoPaulo, Brazil
  • 3Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong, SAR China
  • 4Department of Neurology China The Key Laboratory of Neurology (Hebei Medical University), Ministry of Education, Second Hospital of Hebei Medical University, Shijiazhuang, China
  • 5Department of Gastroenterology, Hebei General Hospital, Shijiazhuang, China
  • 6Key Laboratory of Tumor Prevention and Precision Diagnosis and Treatment of Hebei, Clinical Oncology Research Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
  • 7Xingtai People's Hospital, Xingtai, China
  • 8The First Hospital of Hebei Medical University, Shijiazhuang, China
  • 9Cangzhou Central Hospital, Cangzhou, China
  • 10The First Hospital of Qinhuangdao, Qinhuangdao, China
  • 11Handan Central Hospital, Handan, China

The final, formatted version of the article will be published soon.

Background and aim: Current efforts to characterize the circulating microbiome are constrained by the lack of standardized protocols for isolating and sequencing microbial communities in blood. To address this challenge, our study compared 16S rRNA (V3-V4 region) and shotgun metagenomic sequencing for circulating microbiome detection. Materials and methods: After obtaining ethics committee approval and informed consent, samples were aseptically collected from 10 patients undergoing transjugular intrahepatic portosystemic shunt (TIPS) procedures. Shotgun metagenomic reads were taxonomically classified using the Kraken2-Bracken pipeline. 16S rRNA (V3-V4) data were analyzed through an ASV-based approach, with USEARCH for denoising and VSEARCH for taxonomic annotation. The results from both sequencing methods were then systematically compared. Results: Shotgun metagenomic sequencing generated 7,024,580,376 raw reads (mean depth: 234,152,679.2 reads/sample), while 16S rRNA sequencing produced 6,612,678 raw reads (mean depth: 220,422.6 reads/sample). 16S rRNA amplicon sequencing captured a broader range of microbial signals. Although the taxonomic profiles from both sequencing methods showed limited overlap, the core microbiota common to both were still identified. These conserved core microbial communities exhibited stable α- and β-diversity indices across separate vascular compartments. Conclusions: In our study, 16S rRNA amplicon sequencing captured more diverse microbial signals than shotgun metagenomics. A stable microbial community structure was observed across vascular compartments, suggesting a homogeneous microbial composition throughout the circulatory system.

Keywords: circulating Microbiome, tips, Shotgun sequencing, 16S rRNA, Portal-hepatic circulation

Received: 11 Jul 2025; Accepted: 07 Nov 2025.

Copyright: © 2025 Zhang, Xu, Chen, Yang, Matsubara, Tian, Liu, Jin, Chang, Xu, Zhu, Wang, Ren, Xie, Liu, Liu, Lu, Wang, Du, Ma, Liu, Zhao, Chen, Huo, Zheng, Xie, Xu, Zhang, Qi and Feng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Xueqiang Zhang, 27104923@hebmu.edu.cn
Wei Qi, 28502620@hebmu.edu.cn
Zhijie Feng, 26300056@hebmu.edu.cn

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.