Evidence map›Paper›PMID 36989283›Full record

ArticlePloS one2023

Interleukin-10 as Covid-19 biomarker targeting KSK and its analogues: Integrated network pharmacology.

Vidhya Rajalakshmi V, Akilandeswari Ramu, Jayaprakash Chinnappan, Palanivel Velmurugan, Rajiv Pathak, Rami Adel Pashameah, Atif Abdulwahab A Oyouni, Osama M Al-Amer, Mohammed I Alasseiri, Abdullah Hamadi and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. 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
0.8field-weighted citation impact, top 25% 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, 4 citations in OpenAlex.

  1. 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

12 authors at 5 institutions in 2 countries.

Vidhya Rajalakshmi VAnthropology and Health Informatics Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu, India.
Akilandeswari RamuAnthropology and Health Informatics Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu, India.
Jayaprakash ChinnappanAnthropology and Health Informatics Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu, India.ORCID 0000-0001-6734-5829
Palanivel VelmuruganCentre for Materials Engineering and Regenerative Medicine, Bharath Institute of Higher Education and Research, Selaiyur, Chennai, Tamilnadu, India.
Rajiv PathakDepartment of Biotechnology, Himalayan Whitehouse International College, Kathmandu, Nepal.ORCID 0000-0002-4918-4408
Rami Adel PashameahDepartment of Chemistry, Faculty of Applied Science, Umm Al-Qura University, Makkah, Saudi Arabia.
Atif Abdulwahab A OyouniDepartment of Biology, Faculty of Sciences, University of Tabuk, Tabuk, Saudi Arabia.
Osama M Al-AmerGenome and Biotechnology Unit, Faculty of Sciences, University of Tabuk, Tabuk, Saudi Arabia.
Mohammed I AlasseiriDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk, Saudi Arabia.
Abdullah HamadiDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk, Saudi Arabia.ORCID 0000-0002-1095-5455
Mansuor A AlanaziDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk, Saudi Arabia.ORCID 0000-0002-7256-6033
Thangavelu SathiamoorthiDepartment of Microbiology, Faculty of Science, Alagappa University, Karikudi, Tamilnadu, India.
University of Tabuk · SABharathiar University · INAlagappa University · INBharath University · INUmm al-Qura University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 caused by the SARS-CoV-2 virus is widespread in all regions, and it disturbs host immune system functioning leading to extreme inflammatory reaction and hyperactivation of the immune response. Kabasura Kudineer (KSK) is preventive medicine against viral infections and a potent immune booster for inflammation-related diseases. We hypothesize that KSK and KSK similar plant compounds, might prevent or control the COVID-19 infection in the human body. 1,207 KSK and KSK similar compounds were listed and screened via the Swiss ADME tool and PAINS Remover; 303 compounds were filtered including active and similar drug compounds. The targets were retrieved from similar drugs of the active compounds of KSK. Finally, 573 genes were listed after several screening steps. Next, network analysis was performed to finalize the potential target gene: construction of protein-protein interaction of 573 genes using STRING, identifying top hub genes in Cytoscape plug-ins (MCODE and cytoHubba). These ten hub genes play a crucial role in the inflammatory response. Target-miRNA interaction was also constructed using the miRNet tool to interpret miRNAs of the target genes and their functions. Functional annotation was done via DAVID to gain a complete insight into the mechanism of the enriched pathways and other diseases related to the given target genes. In Molecular Docking analysis, IL10 attained top rank in Target-miRNA interaction and also the gene formed prominent exchanges with an excellent binding score (> = -8.0) against 19 compounds. Among them, Guggulsterone has an acute affinity score of -8.8 for IL10 and exhibits anti-inflammatory and immunomodulatory properties. Molecular Dynamics simulation study also performed for IL10 and the interacting ligand compounds using GROMACS. Finally, Guggulsterone will be recommended to enhance immunity against several inflammatory diseases, including COVID19.

Indexed as

COVID-19MicroRNAsHumansInterleukin-10Molecular Docking SimulationNetwork PharmacologySARS-CoV-2Interleukin-10MicroRNAs

Identifiers

PMID36989283
PMCPMC10057793
OpenAlexW4361283276

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.