Evidence map›Paper›PMID 37592846›Full record

ReviewJournal of gastroenterology and hepatology2023

Unraveling the pathogenesis of non-alcoholic fatty liver diseases through genome-wide association studies.

Ye Tian, Bo Wang

Abstract readReview
In one paragraph

Review in Journal of gastroenterology and hepatology, 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
–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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Novel HSD17B13 Inhibitors for Treating Liver Diseases.ACS medicinal chemistry letters · 2024
    Article
  9. Article
  10. Review
  11. Review
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

2 authors.

Ye TianDepartment of Comparative Biosciences, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Bo WangDepartment of Comparative Biosciences, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.ORCID https://orcid.org/0000-0001-9234-035X

Funding

Novel regulation of insulin action in the liverR01DK128167 · NIDDK · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Bo Wang · 2022 to 2026
$1.7M
The Role of Lpcat3 and Phospholipid Remodeling in Intestinal HomeostasisK01DK114373 · NIDDK · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI WANG, BO · 2018 to 2022
$769k
NIDDK NIH HHS DK114373NIDDK NIH HHS DK128167NIDDK NIH HHS K01 DK114373NIDDK NIH HHS R01 DK128167
6 · The paper itself

Abstract

Non-alcoholic fatty liver disease (NAFLD) is a significant health burden around the world, affecting approximately 25% of the population. Recent advances in human genetic databases have allowed for the identification of various single nucleotide polymorphisms associated with NAFLD-related traits. Investigating the functions of these genetic factors provides insight into the pathogenesis of NAFLD and potentially identifies novel therapeutic targets for NAFLD. In this review, we summarized current research on genes with NAFLD-associated mutations, highlighting phospholipid remodeling and spatially clustered loci as common pathological and genetic features of these mutations. These features suggest a complex yet intriguing mechanism of dissociated steatosis and insulin resistance, which is observed in a subset of patients and may lead to more precise therapy against NAFLD in the future.

Indexed as

Insulin ResistanceNon-alcoholic Fatty Liver DiseaseGenome-Wide Association StudyHumansGWASNAFLDNASHphospholipid remodeling

Identifiers

PMID37592846
PMCPMC10693931

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.