Evidence map›Paper›PMID 37762300›Full record

ArticleInternational journal of molecular sciences2023

Liming Liu, Liquan Deng, Wei Wei, Chunhua Li, Yuting Lu, Jieying Bai, Letian Li, Heping Zhang, Ningyi Jin, Chang Li and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. International journal of molecular sciences · 2025
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Effect ofFrontiers in microbiology · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
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

11 authors at 6 institutions in 1 country.

Liming LiuCollege of Animal Science and Technology, Jilin Agricultural Science and Technology University, Jilin 132101, China.
Liquan DengSchool of Public Health, Jilin University, Changchun 130021, China.
Wei WeiState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China.
Chunhua LiCollege of Animal Science and Technology, Jilin Agricultural Science and Technology University, Jilin 132101, China.
Yuting LuCollege of Animal Science and Technology, Jilin Agricultural Science and Technology University, Jilin 132101, China.
Jieying BaiCollege of Future Technology, Peking University, Beijing 100871, China.
Letian LiResearch Unit of Key Technologies for Prevention and Control of Virus Zoonoses, Chinese Academy of Medical Sciences, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun 130122, China.
Heping ZhangKey Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot 010018, China.
Ningyi JinResearch Unit of Key Technologies for Prevention and Control of Virus Zoonoses, Chinese Academy of Medical Sciences, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun 130122, China.
Chang LiResearch Unit of Key Technologies for Prevention and Control of Virus Zoonoses, Chinese Academy of Medical Sciences, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun 130122, China.ORCID 0000-0002-3267-1859
Cuiqing ZhaoCollege of Animal Science and Technology, Jilin Agricultural Science and Technology University, Jilin 132101, China.ORCID 0000-0003-0095-2573
Chinese Academy of Medical Sciences & Peking Union Medical College · CNInner Mongolia Agricultural University · CNJilin Agricultural Science and Technology University · CNInstitute of Microbiology · CNJilin University · CNPeking University · CN

Funding

CAMS Innovation Fund for Medical Sciences 2020-12M-5-001Jilin Province Innovative and Entrepreneurial Talent Funding Project 2023RY16
6 · The paper itself

Abstract

Non-alcoholic steatohepatitis (NASH) is one of the most prevalent diseases worldwide; it is characterized by hepatic lipid accumulation, inflammation, and progressive fibrosis. Here, a Western diet combined with low-dose weekly carbon tetrachloride was fed to C57BL/6J mice for 12 weeks to build a NASH model to investigate the attenuating effects and possible mechanisms of

Indexed as

Gastrointestinal MicrobiomeNon-alcoholic Fatty Liver DiseaseAnimalsBile Acids and SaltsFibrosisInflammationLipidsLiverMiceMice, Inbred C57BLRNA, Ribosomal, 16SBile Acids and SaltsLipidsRNA, Ribosomal, 16Sbile acidsgut microbiotaLactiplantibacillus plantarum LPJZ-658non-alcoholic steatohepatitis

Identifiers

PMID37762300
PMCPMC10531215
OpenAlexW4386629367

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.