Evidence map›Paper›PMID 32679150›Full record

SynthesisLife sciences2020

Matrix metallopeptidase 9 as a host protein target of chloroquine and melatonin for immunoregulation in COVID-19: A network-based meta-analysis.

Suvojit Hazra, Alok Ghosh Chaudhuri, Basant K Tiwary, Nilkanta Chakrabarti

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Life sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 11% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Pooled it
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  16. In silico drug repurposing against SARS-CoV-2 using an integrative transcriptomic profiling approach: Hydrocortisone and Benzhydrocodone as potential drug candidates against COVID-19.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2022
    Article
  17. Review
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  20. MMP-9/BDNF ratio predicts more severe COVID-19 outcomes.International journal of medical sciences · 2022
    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

4 authors at 3 institutions in 1 country.

Suvojit HazraCPEPA-UGC Centre for "Electro-physiological and Neuro-imaging studies including Mathematical Modelling", University of Calcutta, Kolkata, West Bengal, India; Department of Physiology, University of Calcutta, Kolkata, West Bengal, India.
Alok Ghosh ChaudhuriDepartment of Physiology, Vidyasagar College, Kolkata, West Bengal, India.
Basant K TiwaryCentre for Bioinformatics, School of Life Sciences, Pondicherry University, Pondicherry, India. Electronic address: basant68@email.com.
Nilkanta ChakrabartiCPEPA-UGC Centre for "Electro-physiological and Neuro-imaging studies including Mathematical Modelling", University of Calcutta, Kolkata, West Bengal, India; Department of Physiology, University of Calcutta, Kolkata, West Bengal, India. Electronic address: ncphysiolcu@gmail.com.
University of Calcutta · INPondicherry University · INVidyasagar University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe molecular pathogenesis of COVID-19 is similar to other coronavirus (CoV) infections viz. severe acute respiratory syndrome (SARS) in human. Due to scarcity of the suitable treatment strategy, the present study was undertaken to explore host protein(s) targeted by potent repurposed drug(s) in COVID-19. MATERIALS AND

methodsThe differentially expressed genes (DEGs) were identified from microarray data repository of SARS-CoV patient blood. The repurposed drugs for COVID-19 were selected from available literature. Using DEGs and drugs, the protein-protein interaction (PPI) and chemo-protein interaction (CPI) networks were constructed and combined to develop an interactome model of PPI-CPI network. The top-ranked sub-network with its hub-bottleneck nodes were evaluated with their functional annotations. KEY

findingsA total of 120 DEGs and 65 drugs were identified. The PPI-CPI network (118 nodes and 293 edges) exhibited a top-ranked sub-network (35 nodes and 174 connectivities) with 12 hub-bottleneck nodes having two drugs chloroquine and melatonin in association with 10 proteins corresponding to six upregulated and four downregulated genes. Two drugs interacted directly with the hub-bottleneck node i.e. matrix metallopeptidase 9 (MMP9), a host protein corresponding to its upregulated gene. MMP9 showed functional annotations associated with neutrophil mediated immunoinflammation. Moreover, literature survey revealed that angiotensin converting enzyme 2, a membrane receptor of SARS-CoV-2 virus, might have functional cooperativity with MMP9 and a possible interaction with both drugs. SIGNIFICANCE: The present study reveals that between chloroquine and melatonin, melatonin appears to be more promising repurposed drug against MMP9 for better immunocompromisation in COVID-19.

Indexed as

Angiotensin-Converting Enzyme 2Antiviral AgentsBetacoronavirusChloroquineComputational BiologyCoronavirus InfectionsCOVID-19COVID-19 Drug TreatmentHumansMatrix Metalloproteinase 9MelatoninMetalloproteasesPandemicsPeptidyl-Dipeptidase APneumonia, ViralProtein Interaction MapsACE2 protein, humanAngiotensin-Converting Enzyme 2Antiviral AgentsChloroquineMatrix Metalloproteinase 9MelatoninMetalloproteasesPeptidyl-Dipeptidase AChloroquineCoronavirusCOVID-19MelatoninMMP9PPI-CPI networkSARS-CoV-2

Identifiers

PMID32679150
PMCPMC7361122
OpenAlexW3042434878

What OpenQuestion holds

Textmetadata
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.