Evidence map›Paper›PMID 41322110›Full record

ReviewCanadian journal of gastroenterology & hepatology2025

The Role of Macrophage Polarization and Ferroptosis in the Progression of Liver Fibrosis.

Jeri Nobia Purnama, Mohammad Ghozali, Desak Made Malini, Ratu Safitri

Abstract readReview
In one paragraph

Review in Canadian journal of gastroenterology & hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. 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

4 authors.

Jeri Nobia PurnamaGraduate School, Padjadjaran University, Bandung, Indonesia, unpad.ac.id.ORCID 0009-0009-2626-1579
Mohammad GhozaliDepartment of Biomedical Sciences, Faculty of Medicine, Padjadjaran University, Jatinangor, Bandung, 45363, West Java, Indonesia, unpad.ac.id.ORCID 0000-0001-9392-8374
Desak Made MaliniDepartment of Biology, Faculty of Mathematics and Natural Sciences, Padjadjaran University, Jatinangor, Bandung, 45363, West Java, Indonesia, unpad.ac.id.ORCID 0000-0003-0055-9907
Ratu SafitriGraduate School, Padjadjaran University, Bandung, Indonesia, unpad.ac.id.ORCID 0000-0002-0640-1273

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver fibrosis is a pathological condition marked by excessive extracellular matrix accumulation, potentially leading to cirrhosis. Macrophages play a vital role in regulating inflammatory responses, facilitating tissue repair, and orchestrating extracellular matrix remodeling through their differentiation into proinflammatory and anti-inflammatory phenotypes. Hepatic stellate cell activation and the progression of fibrosis have been linked to ferroptosis, a controlled cell death process triggered by iron and characterized by lipid peroxidation. This review explores the interaction between ferroptosis and macrophage polarization in iron-overload-induced liver fibrosis. It examines how ferroptosis intensifies inflammatory and fibrotic processes through macrophage activity and identifies key macrophage marker proteins involved. Understanding this interplay offers novel therapeutic insights targeting macrophage polarization to mitigate liver fibrosis, particularly in conditions such as hemochromatosis and chronic transfusion-dependent disorders.

Indexed as

FerroptosisHemochromatosisIron OverloadLiver CirrhosisMacrophagesAnimalsDisease Models, AnimalDisease ProgressionExtracellular MatrixHepatic Stellate CellsHumansIronMacrophage ActivationIron

Identifiers

PMID41322110
PMCPMC12658345

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.