Evidence map›Paper›PMID 36005631›Full record

ArticleMetabolites2022

Mechanism Analysis of Metabolic Fatty Liver on Largemouth Bass (

Moyong Xue, Ting Yao, Min Xue, Frédéric Francis, Yuchang Qin, Ming Jia, Junguo Li, Xu Gu

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. DietaryAnimals : an open access journal from MDPI · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
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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

8 authors at 3 institutions in 2 countries.

Moyong XueFeed Research Institute, Chinese Academy of Agricultural Science, Beijing 100081, China.
Ting YaoBeijing Institute of Feed Control, Beijing 110108, China.
Min XueFeed Research Institute, Chinese Academy of Agricultural Science, Beijing 100081, China.ORCID 0000-0002-9484-062X
Frédéric FrancisFunctional & Evolutionary Entomology, Agro-Bio-Tech Gembloux, University of Liege, 5030 Gembloux, Belgium.ORCID 0000-0001-7731-0849
Yuchang QinInstitute of Animal Science, Chinese Academy of Agriculture Sciences, Beijing 100193, China.
Ming JiaFeed Research Institute, Chinese Academy of Agricultural Science, Beijing 100081, China.
Junguo LiFeed Research Institute, Chinese Academy of Agricultural Science, Beijing 100081, China.
Xu GuFeed Research Institute, Chinese Academy of Agricultural Science, Beijing 100081, China.
Feed Research Institute · CNUniversity of Liège · BEChinese Academy of Agricultural Sciences · CN

Funding

Xu Gu 2018YFD0900400Xu Gu 2019YFD0900200Xu Gu CAAS-ASTIP-2017-FRI-08
6 · The paper itself

Abstract

Metabolic fatty liver disease caused by high-starch diet restricted the intensive and sustainable development of carnivorous fish such as largemouth bass. In this study, the combination liver proteomic and lipidomic approach was employed to investigate the key signaling pathways and identify the critical biomarkers of fatty liver in largemouth bass. Joint analysis of the correlated differential proteins and lipids revealed nine common metabolic pathways; it was determined that FABP1 were significantly up-regulated in terms of transporting more triglycerides into the liver, while ABCA1 and VDAC1 proteins were significantly down-regulated in terms of preventing the transport of lipids and cholesterol out of the liver, leading to triglyceride accumulation in hepatocyte, eventually resulting in metabolic fatty liver disease. The results indicate that FABP1, ABCA1 and VDAC1 could be potential biomarkers for treating metabolic fatty liver disease of largemouth bass.

Indexed as

integrated analysislargemouth basslipidomicsmetabolic liver diseaseproteomics

Identifiers

PMID36005631
PMCPMC9415018
OpenAlexW4292253395

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.