The multi-targets mechanism of hydroxychloroquine in the treatment of systemic lupus erythematosus based on network pharmacology.


Journal

Lupus
ISSN: 1477-0962
Titre abrégé: Lupus
Pays: England
ID NLM: 9204265

Informations de publication

Date de publication:
Nov 2020
Historique:
pubmed: 29 8 2020
medline: 23 7 2021
entrez: 29 8 2020
Statut: ppublish

Résumé

Network pharmacology is used with bioinformatic tools to broaden the understanding of drugs' potential targets and the intersections with key genes of particular disease. Here we applied network pharmacology to collect testable hypotheses about the multi-targets mechanism of hydroxychloroquine (HCQ) against systemic lupus erythematosus (SLE). Firstly, we predicted the potential targets of HCQ. Secondly, we got the related genes of SLE returned from databases. Thirdly, the intersections of the potential targets (HCQ) and related genes (SLE) were analyzed with gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment. Finally, we validated our predictions of the potential targets by performing docking studies with HCQ. The results suggest that the efficacy of HCQ against SLE is mainly associated with the targets of cyclin-dependent kinase 2 (CDK2), estrogen receptor alpha (ESR1) and CDK1, which regulate PI3K/Akt/GSK3β as well as interferon (IFN) signaling pathway. Biological process of the network associated with the three targets is concentrated in the inhibition of immune response, negative regulation of gene expression and regulation of immune system process. Molecular docking analysis proves that hydrogen bonding and π-π stacking are the main forms of interaction. Our research provides protein targets affected by HCQ in the treatment of SLE. Three key targets (CDK2, ESR1 and CDK1) involving 1766 proteins become the multi-targets mechanism of HCQ in the treatment of SLE. As well, the research also provides a new idea for introducing network pharmacology into the evaluation of the drugs with multi-targets in dermatology.

Sections du résumé

BACKGROUND BACKGROUND
Network pharmacology is used with bioinformatic tools to broaden the understanding of drugs' potential targets and the intersections with key genes of particular disease. Here we applied network pharmacology to collect testable hypotheses about the multi-targets mechanism of hydroxychloroquine (HCQ) against systemic lupus erythematosus (SLE).
METHODS METHODS
Firstly, we predicted the potential targets of HCQ. Secondly, we got the related genes of SLE returned from databases. Thirdly, the intersections of the potential targets (HCQ) and related genes (SLE) were analyzed with gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment. Finally, we validated our predictions of the potential targets by performing docking studies with HCQ.
RESULTS RESULTS
The results suggest that the efficacy of HCQ against SLE is mainly associated with the targets of cyclin-dependent kinase 2 (CDK2), estrogen receptor alpha (ESR1) and CDK1, which regulate PI3K/Akt/GSK3β as well as interferon (IFN) signaling pathway. Biological process of the network associated with the three targets is concentrated in the inhibition of immune response, negative regulation of gene expression and regulation of immune system process. Molecular docking analysis proves that hydrogen bonding and π-π stacking are the main forms of interaction.
CONCLUSIONS CONCLUSIONS
Our research provides protein targets affected by HCQ in the treatment of SLE. Three key targets (CDK2, ESR1 and CDK1) involving 1766 proteins become the multi-targets mechanism of HCQ in the treatment of SLE. As well, the research also provides a new idea for introducing network pharmacology into the evaluation of the drugs with multi-targets in dermatology.

Identifiants

pubmed: 32854577
doi: 10.1177/0961203320952541
doi:

Substances chimiques

Hydroxychloroquine 4QWG6N8QKH

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1704-1711

Auteurs

Bo Xie (B)

Department of Dermatology, Hangzhou Third People's Hospital, Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.

Qingwei Geng (Q)

Department of Dermatology, Hangzhou Third People's Hospital, Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.

Jinhui Xu (J)

Department of Dermatology, Hangzhou Third People's Hospital, Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.

Haojie Lu (H)

Department of Dermatology, Hangzhou Third People's Hospital, Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.

Haixin Luo (H)

Department of Dermatology, Hangzhou Third People's Hospital, Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.

Yebei Hu (Y)

Department of Dermatology, Hangzhou Third People's Hospital, Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.

Xiuzu Song (X)

Department of Dermatology, Hangzhou Third People's Hospital, Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.

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Classifications MeSH