Evidence map›Paper›PMID 41970222›Full record

ArticleLiver research (Beijing, China)2026

Role of myeloid cell transcription factor EB in alcohol-induced liver injury in mice.

Sha Neisha Williams, Kafayat Yusuf, Xiaojuan Chao, Hong-Min Ni, Wen-Xing Ding

Abstract read
In one paragraph

Article in Liver research (Beijing, China), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Sha Neisha WilliamsDepartment of Pharmacology, Toxicology and Therapeutics, University of Kansas Medical Center, Kansas City, KS, USA.
Kafayat YusufDepartment of Surgery, University of Kansas Medical Center, Kansas City, KS, USA.
Xiaojuan ChaoDepartment of Pharmacology, Toxicology and Therapeutics, University of Kansas Medical Center, Kansas City, KS, USA.
Hong-Min NiDepartment of Pharmacology, Toxicology and Therapeutics, University of Kansas Medical Center, Kansas City, KS, USA.
Wen-Xing DingDepartment of Pharmacology, Toxicology and Therapeutics, University of Kansas Medical Center, Kansas City, KS, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Alcohol-associated liver disease (ALD) is a leading cause of liver-related morbidity and mortality worldwide, with no currently effective treatment. ALD is caused by excessive lipid buildup, which eventually triggers inflammation and fibrosis in the liver. Activation of hepatic Kupffer cells (KCs) and macrophages drives liver inflammation, which can worsen alcohol-induced liver injury. The autophagy-lysosome system is crucial for macrophages to support their innate immune functions. Transcription factor EB (TFEB) is a key regulator of autophagy and lysosomal biogenesis, but the role of macrophage TFEB in ALD development is unknown. The aim of this study was to evaluate the effects of Gao-binge alcohol consumption on myeloid cell TFEB and elucidate the role of myeloid TFEB in ALD. Methods: Two-to-three-month-old male and female LysM Cre Results: We found that TFEB levels were higher in macrophage/KC cells than in hepatocytes and cholangiocytes. While ethanol feeding increased serum alanine aminotransferase and aspartate aminotransferase levels, as well as hepatic triglyceride levels, no significant differences were observed between WT and myeloid- Conclusions: Our findings suggest that myeloid TFEB is dispensable for alcohol-induced liver injury in mice.

Indexed as

AutophagyHepatitisInflammationLysosomeSteatosisTranscription factor EB (TFEB)

Identifiers

PMID41970222
PMCPMC13063266

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Registered trials

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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.