Evidence map›Paper›PMID 39760085›Full record

ArticleFrontiers in microbiology2024

Characterization of the hepatic flora and metabolome in nonalcoholic fatty liver disease.

Hua Jiang, Hui Wang, Yangfan Guo, Yankun Zhu, Hui Dai, Chenchen Liang, Jianpeng Gao

Erratum issuedAbstract 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. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Hua JiangDepartment of Gastroenterology, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, China.
Hui WangDepartment of Gastroenterology, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, China.
Yangfan GuoCentral Laboratory of Yan'an Hospital Affiliated to Kunming Medical University, Kunming, China.
Yankun ZhuDepartment of Surgery, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, China.
Hui DaiDepartment of Oncology, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, China.
Chenchen LiangDepartment of Gastroenterology, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, China.
Jianpeng GaoDepartment of Gastroenterology, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/aim: The purpose of this study was to examine the hepatic bacterial composition and metabolome characteristics of patients with NAFLD using 16S rDNA sequencing and metabolomics. The results of the study revealed substantial differences in hepatic bacterial composition and metabolites between the NAFLD group and the control group. These differences were used to identify potential biomarkers that could be employed to diagnose NAFLD. Subjects/methods: Liver tissues from 13 patients in the NAFLD group and 12 patients in the control group were collected for microbiota examination. Results: The bacterial DNA profiles of the liver were significantly different between NAFLD patients and controls. NAFLD patients exhibited an enrichment of Enterobacterales, Mycobacteriales, Pseudomonadales, Flavobacteriales and Xanthomonadales, Sphingomonadales, Lysobact, which was characterised by a lack of erales. At the genus level, the abundance values of Conclusion: Differences in pathogenesis and host physiological function of NAFLD may be attributed to the hepatic flora and metabolomic characteristics. In the future, this presents new opportunities for the investigation of prospective diagnostic and therapeutic targets for NAFLD.

Indexed as

16S rDNA sequencingbacterial DNA profileshepatic microbiotametabolomicsnonalcoholic fatty liver (NAFL)

Identifiers

PMID39760085
PMCPMC11697427

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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.