Evidence map›Paper›PMID 37270557›Full record

ArticleNature communications2023

Bacteriophage targeting microbiota alleviates non-alcoholic fatty liver disease induced by high alcohol-producing Klebsiella pneumoniae.

Lin Gan, Yanling Feng, Bing Du, Hanyu Fu, Ziyan Tian, Guanhua Xue, Chao Yan, Xiaohu Cui, Rui Zhang, Jinghua Cui and 11 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 1 pooled it
24.9field-weighted citation impact, top 1% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

95 citing papers in PubMed, 1 synthesis or guideline pooled it, 123 citations in OpenAlex.

  1. The Role of Cannabidiol in Liver Disease: A Systemic Review.International journal of molecular sciences · 2024
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35 more citing papers are in PubMed but not listed here.

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

21 authors at 2 institutions in 1 country.

Lin GanDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China.
Yanling FengDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China.
Bing DuDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China.
Hanyu FuDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China.
Ziyan TianDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China.
Guanhua XueDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China.
Chao YanDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China.
Xiaohu CuiDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China.
Rui ZhangDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China.
Jinghua CuiDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China.
Hanqing ZhaoDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China.
Junxia FengDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China.
Ziying XuDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China.
Zheng FanDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China.
Tongtong FuDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China.
Shuheng DuDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China.
Shiyu LiuDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China.
Qun ZhangDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China.
Zihui YuDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China.
Ying SunDepartment of Immunology, School of Basic Medical Sciences, Capital Medical University, 100069, Beijing, China. ying.sun@ccmu.edu.cn.
Jing YuanDepartment of Bacteriology, Capital Institute of Pediatrics, 100020, Beijing, China. yuanjing6216@163.com.ORCID 0000-0002-6939-9676
Capital Institute of Pediatrics · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our previous studies have shown that high alcohol-producing Klebsiella pneumoniae (HiAlc Kpn) in the intestinal microbiome could be one of the causes of non-alcoholic fatty liver disease (NAFLD). Considering antimicrobial resistance of K. pneumoniae and dysbacteriosis caused by antibiotics, phage therapy might have potential in treatment of HiAlc Kpn-induced NAFLD, because of the specificity targeting the bacteria. Here, we clarified the effectiveness of phage therapy in male mice with HiAlc Kpn-induced steatohepatitis. Comprehensive investigations including transcriptomes and metabolomes revealed that treatment with HiAlc Kpn-specific phage was able to alleviate steatohepatitis caused by HiAlc Kpn, including hepatic dysfunction and expression of cytokines and lipogenic genes. In contrast, such treatment did not cause significantly pathological changes, either in functions of liver and kidney, or in components of gut microbiota. In addition to reducing alcohol attack, phage therapy also regulated inflammation, and lipid and carbohydrate metabolism. Our data suggest that phage therapy targeting gut microbiota is an alternative to antibiotics, with potential efficacy and safety, at least in HiAlc Kpn-caused NAFLD.

Indexed as

BacteriophagesMicrobiotaNon-alcoholic Fatty Liver DiseaseAnimalsAnti-Bacterial AgentsEthanolKlebsiella pneumoniaeLiverMaleMiceAnti-Bacterial AgentsEthanol

Identifiers

PMID37270557
PMCPMC10239455
OpenAlexW4379259901

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.