Evidence map›Paper›PMID 36105054›Full record

ArticleAmerican journal of translational research2022

The antifibrotic effects of the novel compound gorse isoflavone alkaloid on chemical liver injury in rats.

Yang-Wen Ai, Fang-Cheng Fan, Hua Liu, Xiao-Jie Shi, Ke-Qin Li, Qing-Shan Liu, Hui Jiang

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 83% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 1 country.

Yang-Wen AiSchool of Pharmacy, Minzu University of China Beijing 100000, China.
Fang-Cheng FanSchool of Pharmacy, Minzu University of China Beijing 100000, China.
Hua LiuSchool of Pharmacy, Minzu University of China Beijing 100000, China.
Xiao-Jie ShiSchool of Pharmacy, Minzu University of China Beijing 100000, China.
Ke-Qin LiSchool of Pharmacy, Minzu University of China Beijing 100000, China.
Qing-Shan LiuSchool of Pharmacy, Minzu University of China Beijing 100000, China.
Hui JiangDepartment of Otolaryngology and Stomatology, The Second Affiliated Hospital of Shandong First Medical University Tai'an 271000, Shandong, China.
Minzu University of China · CNAffiliated Hospital of Taishan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLiver fibrosis is a frequently occurring liver injury which lacks of effective treatment clinically. Here, we investigated the protective effects of a novel compound Gorse isoflavone alkaloid (GIA) against liver fibrosis.

methodsTotally forty rats were randomly divided into four groups. Then we established a model of liver fibrosis induced by the intragastric administration of carbon tetrachloride (CCl

resultsOur results suggested that GIA reduced the deposition of collagen fibres and the fibrosis index hydroxyproline (Hyp) of liver tissue. Furthermore, we found that GIA significantly decreased the expression of Transforming Growth Factor-β1 (TGF-β1) and the ratio of p-smad2/3 to smad2/3, enhanced the level of superoxide dismutase (SOD), and decreased the concentration of malonic dialdehyde (MDA) in the liver.

conclusionsOur findings revealed that GIA has a beneficial effect to resist the liver fibrosis, and could be ideal for potential use in antifibrotic drugs for the liver.

Indexed as

extracellular matrixHSCLiver fibrosisTGF-β1TGF-β1/Smad2/3

Identifiers

PMID36105054
PMCPMC9452342
OpenAlexW4295903872

What OpenQuestion holds

Textmetadata
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.