Evidence map›Paper›PMID 39033091›Full record

ArticleCell biochemistry and biophysics2024

Mechanisms of Rehmannioside A Against Systemic Lupus Erythematosus Based on Network Pharmacology, Molecular Docking and Molecular Dynamics Simulation.

Guofei Yang, Mingfang Li, Ying Zhang, Xiaohui Li, Tiantian Xin, Jin Hao

Abstract read
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In one paragraph

Article in Cell biochemistry and biophysics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Guofei YangDepartment of Dermatology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medica1 University, Guangzhou, China.
Mingfang LiDepartment of Dermatology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medica1 University, Guangzhou, China.
Ying ZhangDepartment of Dermatology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medica1 University, Guangzhou, China.
Xiaohui LiDepartment of Dermatology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medica1 University, Guangzhou, China.
Tiantian XinDepartment of Dermatology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medica1 University, Guangzhou, China.
Jin HaoDepartment of Dermatology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medica1 University, Guangzhou, China. haojin_cq@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effect of rehmannioside A (ReA) on systemic lupus erythematosus (SLE) is not clear and needs further study. In this study, SLE-related targets were obtained from the DisGeNet and GeneCards databases, while ReA-related targets were obtained from the SwissTarget and SuperPred databases. A protein-protein interaction network of intersected targets was constructed using the STRING platform. After selecting the intersected targets, GO and KEGG enrichment analyses were performed via the R package "clusterProfiler". The relationships between ReA and various core targets were assessed via molecular docking, and molecular dynamics simulation was conducted for optimal core protein-compound complexes obtained by molecular docking. The top five targets in the ranking of degree value were HSP90AA1, HIF1A, PIK3CA, MTOR, and TLR4. Significant biological processes mainly included response to oxidative stress and response to reactive oxygen species. The potential pathways of ReA in the treatment of SLE mainly focused on the PI3K-Akt signaling pathway, neutrophil extracellular trap formation, and Apoptosis. Molecular docking showed that ReA had the highest binding affinity for mTOR, suggesting that mTOR is a key target of ReA against SLE. Molecular dynamics simulations revealed good binding abilities between ReA and mTOR. In conclusion, ReA exerts its effects on SLE through multiple targets and pathways, with mTOR being a key target of ReA against SLE.

Indexed as

Lupus Erythematosus, SystemicMolecular Docking SimulationMolecular Dynamics SimulationNetwork PharmacologyToll-Like Receptor 4HumansHypoxia-Inducible Factor 1, alpha SubunitProtein BindingProtein Interaction MapsSignal TransductionTOR Serine-Threonine KinasesHypoxia-Inducible Factor 1, alpha SubunitMTOR protein, humanTLR4 protein, humanToll-Like Receptor 4TOR Serine-Threonine KinasesMolecular dockingMolecular dynamics simulationNetwork pharmacologyRehmannioside ASystemic lupus erythematosus

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Registered trials

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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.