Evidence map›Paper›PMID 39624402›Full record

ArticleJournal of inflammation research2024

Regulation of Inflammation, Lipid Metabolism, and Liver Fibrosis by Core Genes of M1 Macrophages in NASH.

Xingyu Xu, Yaqin Dong, Jianjun Liu, Peng Zhang, Wenqi Yang, Longfei Dai

Abstract read
In one paragraph

Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Integrative metabolomics and network pharmacology reveal the antifibrotic mechanisms of Gurigumu-13 in a rat model of hepatic fibrosis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

6 authors.

Xingyu Xu *Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China.ORCID 0009-0008-1153-3204
Yaqin Dong *Department of Radiation Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China.
Jianjun LiuDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China.
Peng ZhangDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China.
Wenqi YangDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China.
Longfei DaiDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although immune cells play a critical role in lipid metabolism and inflammation regulation in patients with non-alcoholic steatohepatitis (NASH), the specific immune cells involved and associated genes remain unclear. Methods: We identified differential immune cell profiles between normal liver and NASH specimens using the CIBERSORT algorithm. Next, we conducted a weighted gene co-expression network analysis (WGCNA) to identify genes highly correlated with these immune cells in NASH. Subsequently, core genes of immune cells were identified using machine learning algorithms. Results: The abundance of M1 macrophages significantly increased in patients with NASH. The Random Forest (RF) algorithm identified six M1 macrophage-related genes ( Conclusion: These six core genes of M1 macrophages contribute to NASH progression by regulating inflammation, lipid metabolism, and liver fibrosis.

Indexed as

clusterdiagnosisM1 macrophagesmachine learningNASH

Identifiers

PMID39624402
PMCPMC11610385

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.