Evidence map›Paper›PMID 36133436›Full record

ArticleDisease markers2022

Activated Hepatic Stellate Cells Promote the M1 to M2 Macrophage Transformation and Liver Fibrosis by Elevating the Histone Acetylation Level.

Junru Chen, Xueqing Huang, Zhi Huang, Yu Cao

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Junru ChenDepartment of Dermatology and Venereology, College of Clinical Medicine, Guizhou Medical University, Guiyang 550025, China.ORCID https://orcid.org/0000-0003-1375-4103
Xueqing HuangDepartment of Intervention, The Affiliated Hospital of Guizhou Medical University, Guiyang 550002, China.ORCID https://orcid.org/0000-0002-7321-198X
Zhi HuangDepartment of Intervention, The Affiliated Hospital of Guizhou Medical University, Guiyang 550002, China.ORCID https://orcid.org/0000-0001-9020-897X
Yu CaoDepartment of Dermatology and Venereology, College of Clinical Medicine, Guizhou Medical University, Guiyang 550025, China.ORCID https://orcid.org/0000-0002-9918-2013
Guiyang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver fibrosis results from the formation of fibrous scars of hepatic stellate cells by various chronic liver diseases. Considering that the liver is the most important metabolic organ in the human body, exploring the metabolic characteristics of liver fibrosis is expected to discover new markers and therapeutic targets. In this study, we first used mouse model to verify that both lactate content and histone acetylation levels were significantly increased in hepatic fibrosis mice. At the same time, it was confirmed that activated hepatic stellate cells (HSCs) cocultured with M1 macrophages can promote their transformation into M2 macrophages in hepatic stellate cell line and primary hepatic stellate cells. In addition, the addition of lactic acid to the medium in which M1 cells are cultured can promote their transformation into M2 macrophages. Therefore, we concluded that activated HSCs can promote the transformation of M1 to M2 macrophages through lactate accumulation, thereby causing liver fibrosis.

Indexed as

Hepatic Stellate CellsHistonesAcetylationAnimalsHumansLactic AcidLiverLiver CirrhosisMacrophagesMiceHistonesLactic Acid

Identifiers

PMID36133436
PMCPMC9484931
OpenAlexW4295885790

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.