Evidence map›Paper›PMID 36441671›Full record

ArticlePloS one2022

Mechanism of gene network in the treatment of intracerebral hemorrhage by natural plant drugs in Lutong granules.

Jie Sun, Na Li, Min Xu, Li Li, Ji Lin Chen, Yong Chen, Jian Guo Xu, Ting Hua Wang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. 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
0.2field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Long Non-coding RNAs Influence Aging Process of Sciatic Nerves in SD Rats.Combinatorial chemistry & high throughput screening · 2024
    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

8 authors at 4 institutions in 1 country.

Jie SunDepartment of Neurosurgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
Na LiThe Institute of Neuroscience, Kunming Medical University, Kunming, Yunnan Province, China.
Min XuSchool of Basic Medicine, Jinzhou Medical University, Jinzhou, Liaoning Province, China.
Li LiDepartment of acupuncture, Kunming Municipal Hospital of Traditional Chinese Medicine, Kunming, Yunnan Province, China.
Ji Lin ChenThe Institute of Neuroscience, Kunming Medical University, Kunming, Yunnan Province, China.
Yong ChenThe Institute of Neuroscience, Kunming Medical University, Kunming, Yunnan Province, China.
Jian Guo XuDepartment of Neurosurgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
Ting Hua WangDepartment of Neurosurgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.ORCID 0000-0003-2012-8936
Kunming Medical University · CNSichuan University · CNJinzhou Medical University · CNKunming Municipal Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo study the effects of Lu-tong Granules (LTG) in ICH etermine the underlying mechanism of molecular network.

methodsModern bioinformatics and network pharmacology methods were used to predict molecular network mechanisms between ICH and LTG. Animal experiments were carried out to verify the effect of LTG for the treatment of ICH, combined with behavior test and morphologic detection.

resultsForty-three active components in LTG and involved 192 gene targets were identified successfully. Moreoner, they were intersected with 1132 genes of ICH,88 intersection targets were obtained. subsequently, Cytoscape was used to screen Hub genes, in which,6 core molecules, including AKT1, IL6, VEGFA, CASP3, JUN and MMP9 were recognized. Furthermore, we constructed Six core compounds by " disease-drug-active ingredient-target-KEGG " (D-D-A-T-K) network, showed including quercetin, luteolin, β sitosterol, stigmasterol, kaempferol and formononetin, and PPI protein network interaction showed that AKT1:OS3 and CNA2:DKN1A had the highest correlation. Whereas the enrichment of GO and KEGG indicated that LTG was most likely to play a therapeutic role in ICH through AGE-RAGE signaling pathway in diabetic complications. Integrated analysis also showed that the first 10 pathways of KEGG are integrated into 59 genes, among which 6 core genes are closely involved. Lastly, molecular docking showed that there was a good binding activity between the core components and the core genes, and animal experiments confirmed effect of LTG in the treatment of ICH, by using TTC staining and behavior test.

conclusionLTG are effective for the treatment of ICH, the underlying mechanism could be involved in gene network including anti-inflammatory response, nerve repair, analgesia, anti-epilepsy and other aspects.

Indexed as

Cerebral HemorrhageGene Regulatory NetworksAnimalsComputational BiologyMolecular Docking SimulationPain Management

Identifiers

PMID36441671
PMCPMC9704616
OpenAlexW4310095266

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.