Evidence map›Paper›PMID 40964873›Full record

ArticleImmunity, inflammation and disease2025

Mertk

Yu-Xuan Gao, Zhong Weng, Long Tang, Ming-Yi Xu, Sheng-Zheng Luo

Abstract read
In one paragraph

Article in Immunity, inflammation and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. MertkImmunity, inflammation and disease · 2025
    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

5 authors.

Yu-Xuan GaoDepartment of Gastroenterology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Zhong WengNingde Clinical Medical College of Fujian Medical University, Ningde, Fujian, China.
Long TangNingde Clinical Medical College of Fujian Medical University, Ningde, Fujian, China.
Ming-Yi XuDepartment of Gastroenterology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID https://orcid.org/0000-0002-4834-3542
Sheng-Zheng LuoNingde Clinical Medical College of Fujian Medical University, Ningde, Fujian, China.ORCID https://orcid.org/0000-0002-6620-1687

Funding

This study was supported by National Natural Science Foundation of China (82270604).
6 · The paper itself

Abstract

backgroundMer tyrosine kinase (Mertk) regulating mitochondrial function of liver sinusoidal endothelial cells (LSECs) in metabolic dysfunction-associated steatohepatitis (MASH) remains unclear.

methodsMertk/p-Mertk, PINK1, and ERK/p-ERK expression in steatotic LSECs and livers of MASH mice were studied. Mitochondrial functions were assessed via immunofluorescence, Western blot, and qPCR. C-Kit

resultsOv-Mertk would markedly stimulate ERK, and ERK further suppress downstream PINK1. Higher levels of Mertk/p-Mertk and lower levels of PINK1 were confirmed in steatotic LSECs and MASH mice livers. Steatotic LSECs

conclusionMertk negatively regulates PINK1-mediated mitophagy in LSECs through the p-ERK signaling pathway, thereby accelerating MASH progression. Therefore, LSECs deficient of Mertk should be a novel therapy for reversing PINK1-related mitophagy and MASH.

Indexed as

c-Mer Tyrosine KinaseEndothelial CellsFatty LiverLiverMitophagyProtein KinasesAnimalsBone Marrow TransplantationMaleMiceMice, Inbred C57BLPTEN-Induced Putative Kinasec-Mer Tyrosine KinaseMertk protein, mouseProtein KinasesPTEN-Induced Putative Kinaseextracellular regulated protein kinase (ERK)liver sinusoidal endothelial cell (LSEC)Mer tyrosine kinase (Mertk)metabolic dysfunction‐associated steatohepatitis (MASH)mitophagyPTEN‐induced putative kinase 1 (PINK1)

Identifiers

PMID40964873
PMCPMC12444409

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.