Evidence map›Paper›PMID 41375167›Full record

ArticleMolecules (Basel, Switzerland)2025

Acetylbinankadsurin A Decreases Macrophage Glycolysis and Pro-Inflammatory Phenotype Polarization via Inhibiting HIF-1α to Alleviate Hepatic Fibrosis in Mice.

Qiang Yao, Wangxia Peng, Huaguan Lu, Yupei Yang, Ziti Rao, Xin Xie, Dan Huang, Wei Wang, Jianye Yan, Jianjun Liu

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Qiang YaoAcademy of Chinese Medical Sciences, Hunan University of Chinese Medicine, Changsha 410208, China.
Wangxia PengAcademy of Chinese Medical Sciences, Hunan University of Chinese Medicine, Changsha 410208, China.
Huaguan LuAcademy of Chinese Medical Sciences, Hunan University of Chinese Medicine, Changsha 410208, China.
Yupei YangSchool of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China.
Ziti RaoAcademy of Chinese Medical Sciences, Hunan University of Chinese Medicine, Changsha 410208, China.
Xin XieAcademy of Chinese Medical Sciences, Hunan University of Chinese Medicine, Changsha 410208, China.
Dan HuangAcademy of Chinese Medical Sciences, Hunan University of Chinese Medicine, Changsha 410208, China.ORCID 0000-0003-4221-574X
Wei WangSchool of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China.ORCID 0000-0003-0876-2205
Jianye YanAcademy of Chinese Medical Sciences, Hunan University of Chinese Medicine, Changsha 410208, China.
Jianjun LiuAcademy of Chinese Medical Sciences, Hunan University of Chinese Medicine, Changsha 410208, China.ORCID 0009-0006-2253-6406

Funding

Hunan University of Chinese Medicine Graduate Student Innovation Project 2024CX201Hunan University of Chinese Medicine Key Discipline Research Project Z2023XJZD06Natural Science Foundation of Hunan Province 2024jj8158
6 · The paper itself

Abstract

Hepatic fibrosis is a prevalent pathological process of chronic liver injury, which can progress to cirrhosis and hepatocellular carcinoma, representing a major cause of mortality in patients with chronic liver disease.

Indexed as

DiterpenesGlycolysisHypoxia-Inducible Factor 1, alpha SubunitLiver CirrhosisMacrophagesAnimalsDisease Models, AnimalHumansLipopolysaccharidesMaleMiceMolecular Docking SimulationPhenotypeTHP-1 CellsDiterpenesHif1a protein, mouseHypoxia-Inducible Factor 1, alpha SubunitLipopolysaccharidesAcetylbinankadsurin Aglycolysishepatic fibrosisHIF-1αmacrophage

Identifiers

PMID41375167
PMCPMC12692955

What Socratic 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 Socratic graph.