Evidence map›Paper›PMID 38276616›Full record

ArticleMolecules (Basel, Switzerland)2024

Celastrol Pyrazine Derivative Alleviates Silicosis Progression via Inducing ROS-Mediated Apoptosis in Activated Fibroblasts.

Ying Bai, Chao Liang, Lu Gao, Tao Han, Fengxuan Wang, Yafeng Liu, Jiawei Zhou, Jianqiang Guo, Jing Wu, Dong Hu

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
5.7field-weighted citation impact, top 5% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

10 authors at 1 institution in 1 country.

Ying BaiSchool of Medicine, Anhui University of Science and Technology, Huainan 232001, China.
Chao LiangSchool of Medicine, Anhui University of Science and Technology, Huainan 232001, China.
Lu GaoSchool of Medicine, Anhui University of Science and Technology, Huainan 232001, China.
Tao HanSchool of Medicine, Anhui University of Science and Technology, Huainan 232001, China.
Fengxuan WangSchool of Medicine, Anhui University of Science and Technology, Huainan 232001, China.
Yafeng LiuSchool of Medicine, Anhui University of Science and Technology, Huainan 232001, China.
Jiawei ZhouSchool of Medicine, Anhui University of Science and Technology, Huainan 232001, China.
Jianqiang GuoSchool of Medicine, Anhui University of Science and Technology, Huainan 232001, China.
Jing WuSchool of Medicine, Anhui University of Science and Technology, Huainan 232001, China.
Dong HuSchool of Medicine, Anhui University of Science and Technology, Huainan 232001, China.
Anhui University of Science and Technology · CN

Funding

National Natural Science Foundation of China 81971483
6 · The paper itself

Abstract

Silicosis is a complex occupational disease without recognized effective treatment. Celastrol, a natural product, has shown antioxidant, anti-inflammatory, and anti-fibrotic activities, but the narrow therapeutic window and high toxicity severely limit its clinical application. Through structural optimization, we have identified a highly efficient and low-toxicity celastrol derivative,

Indexed as

Pentacyclic TriterpenesSilicon DioxideSilicosisAnimalsApoptosisCollagenFibroblastsFibrosisInflammationMicePhosphatidylinositol 3-KinasesReactive Oxygen SpeciescelastrolCollagenPentacyclic TriterpenesPhosphatidylinositol 3-KinasesReactive Oxygen SpeciesSilicon Dioxideapoptosiscelastrol derivativefibroblastpulmonary fibrosissilicosis

Identifiers

PMID38276616
PMCPMC10820882
OpenAlexW4391100305

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.