Evidence map›Paper›PMID 35813340›Full record

ArticleAnnals of translational medicine2022

Network pharmacology and bioinformatics analysis identified essential genes of Jingulian in the treatment of rheumatoid arthritis and COVID-19.

Haiyan Zhou, Changchao Zou, Bing Wang, Chao Li, Muzhi Lin, Lili Mo, Bei Zhang, Niwen Huang, Bo Wei, Xiufang Yang and 7 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. 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
0.7field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

17 authors at 3 institutions in 1 country.

Haiyan Zhou *Department of Cardiovascular Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Changchao Zou *Department of Cardiovascular Medicine, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China.
Bing WangDepartment of Cardiovascular Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Chao LiDepartment of Cardiovascular Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Muzhi LinDepartment of Cardiovascular Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Lili MoDepartment of Cardiovascular Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Bei ZhangDepartment of Ultrasound, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Niwen HuangDepartment of Respiratory Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Bo WeiDepartment of Cardiovascular Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Xiufang YangDepartment of Laboratory Medicine, Sansui People Hospital, Kaili, China.
Wupeng LiuDepartment of Cardiovascular Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Guobao XiongDepartment of Cardiovascular Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Zheng ShenDepartment of Cardiovascular Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Wei ZhouDepartment of Cardiovascular Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Xingde LiuDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China.
Wei LiDepartment of Cardiovascular Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Mingzhu GaoDepartment of Laboratory Medicine, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, Wuxi, China.
Affiliated Hospital of Guizhou Medical University · CNGuiyang Medical University · CNWuxi No.2 People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with rheumatoid arthritis (RA) may be more susceptible to infection by coronavirus disease-19 (COVID-19) due to immune system dysfunction. However, there are still insufficient treatment strategies for patients with RA and COVID-19. Since Jingulian is a traditional Chinese medicine (TCM) with anti-viral and immune regulatory functions, our study aims to explore the detailed mechanisms of Jingulian in treating patients with RA and COVID-19. Methods: All the components of Jingulian were retrieved from pharmacology databases. Then, a series of network pharmacology-based analyses and molecular docking were used to understand the molecular functions, core targets, related pathways, and potential therapeutic targets of Jingulian in patients with RA/COVID-19. Results: A total of 93 genes were identified according to the disease-compound-target network. We investigated that the main targets, signaling pathways, and biological functions of Jingulian in RA and COVID-19. Our results indicated that Jingulian may treat patients with RA/COVID-19 through immune processes and viral processes. Moreover, the results of molecular docking revealed that tormentic acid was one of the top compounds of Jingulian, which had high affinity with Janus kinase 1 (JAK1), signal transducer and activator of transcription 3 (STAT3), and epidermal growth factor receptor (EGFR) in patients with RA/COVID-19. Furthermore, 5 core targets of Jingulian were also identified, including JAK1, Janus kinase 2 (JAK2), STAT3, lymphocyte specific protein tyrosine kinase (LCK), and EGFR. Conclusions: Tormentic acid in Jingulian may regulate JAK1, STAT3, and EGFR, and might play a critical role in RA/COVID-19.

Indexed as

computational biologycoronavirus disease-19 (COVID-19)Jinguliannetwork pharmacologyrheumatoid arthritis (RA)

Identifiers

PMID35813340
PMCPMC9263763
OpenAlexW4285019954

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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.