Evidence map›Paper›PMID 39526142›Full record

ArticleFrontiers in microbiology2024

Metagenome-based characterization of the gut bacteriome, mycobiome, and virome in patients with chronic hepatitis B-related liver fibrosis.

Wenlin Chen, Fang Liang, Yue Zhang, Yuncheng Zhang, Jinzhen Lv, Xiande Jin, Yun Ran, Shenghui Li, Wen Sun

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Wenlin Chen *Department of Liver Diseases, Beijing University of Chinese Medicine Shenzhen Hospital (Longgang), Shenzhen, China.
Fang Liang *Department of Liver Diseases, Beijing University of Chinese Medicine Shenzhen Hospital (Longgang), Shenzhen, China.
Yue Zhang *Puensum Genetech Institute, Wuhan, China.
Yuncheng ZhangDepartment of Liver Diseases, Beijing University of Chinese Medicine Shenzhen Hospital (Longgang), Shenzhen, China.
Jinzhen LvDepartment of Liver Diseases, Beijing University of Chinese Medicine Shenzhen Hospital (Longgang), Shenzhen, China.
Xiande JinDepartment of Liver Diseases, Beijing University of Chinese Medicine Shenzhen Hospital (Longgang), Shenzhen, China.
Yun RanDepartment of Liver Diseases, Beijing University of Chinese Medicine Shenzhen Hospital (Longgang), Shenzhen, China.
Shenghui LiPuensum Genetech Institute, Wuhan, China.
Wen SunCentre for Translational Medicine, Shenzhen Bao'an Chinese Medicine Hospital, Guangzhou University of Chinese Medicine, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The gut microbiota is believed to be directly involved in the etiology and development of chronic liver diseases. However, the holistic characterization of the gut bacteriome, mycobiome, and virome in patients with chronic hepatitis B-related liver fibrosis (CHB-LF) remains unclear. Methods: In this study, we analyzed the multi-kingdom gut microbiome (i.e., bacteriome, mycobiome, and virome) of 25 CHB-LF patients and 28 healthy individuals through whole-metagenome shotgun sequencing of their stool samples. Results: We found that the gut bacteriome, mycobiome, and virome of CHB-LF patients were fundamentally altered, characterized by a panel of 110 differentially abundant bacterial species, 16 differential fungal species, and 90 differential viruses. The representative CHB-LF-enriched bacteria included members of Discussion: In conclusion, our findings delineated the fecal bacteriome, mycobiome, and virome landscapes of the CHB-LF microbiota and provided biomarkers that will aid in future mechanistic and clinical intervention studies.

Indexed as

chronic hepatitis B-related liver fibrosisgut microbiomegut mycobiomegut viromemicrobial dysbiosiswhole-metagenome sequencing

Identifiers

PMID39526142
PMCPMC11543496

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.