Evidence map›Paper›PMID 35528173›Full record

ArticleBioMed research international2022

Discovering Common Pathophysiological Processes between COVID-19 and Cystic Fibrosis by Differential Gene Expression Pattern Analysis.

Md Tanvir Hasan, Lway Faisal Abdulrazak, Mohammad Khursheed Alam, Md Rezwan Islam, Yeasmin Hena Sathi, Fahad Ahmed Al-Zahrani, Kawsar Ahmed, Francis M Bui, Mohammad Ali Moni

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 6 countries.

Md Tanvir HasanDepartment of Software Engineering, Daffodil International University (DIU), Ashulia, Savar, Dhaka 1341, Bangladesh.ORCID https://orcid.org/0000-0001-5990-8783
Lway Faisal AbdulrazakDepartment of Computer Science, Cihan University Sulaimaniya, Sulaimaniya, 46001 Kurdistan Region, Iraq.ORCID https://orcid.org/0000-0003-0018-8288
Mohammad Khursheed AlamPreventive Dentistry Department, College of Dentistry, Jouf University, Sakaka 72345, Saudi Arabia.ORCID https://orcid.org/0000-0001-7131-1752
Md Rezwan IslamDepartment of Software Engineering, Daffodil International University (DIU), Ashulia, Savar, Dhaka 1341, Bangladesh.ORCID https://orcid.org/0000-0003-1943-2623
Yeasmin Hena SathiDepartment of Software Engineering, Daffodil International University (DIU), Ashulia, Savar, Dhaka 1341, Bangladesh.ORCID https://orcid.org/0000-0001-9424-4476
Fahad Ahmed Al-ZahraniComputer Engineering Department, Umm Al-Qura University, Mecca 24381, Saudi Arabia.ORCID https://orcid.org/0000-0002-0603-0580
Kawsar AhmedDepartment of Electrical and Computer Engineering, University of Saskatchewan, 57 Campus Drive, Saskatoon, SK, Canada S7N 5A9.ORCID https://orcid.org/0000-0002-4034-9819
Francis M BuiDepartment of Electrical and Computer Engineering, University of Saskatchewan, 57 Campus Drive, Saskatoon, SK, Canada S7N 5A9.ORCID https://orcid.org/0000-0002-8799-5965
Mohammad Ali MoniSchool of Health and Rehabilitation Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, St Lucia, QLD 4072, Australia.ORCID https://orcid.org/0000-0003-0756-1006
Daffodil International University · BDUniversity of Saskatchewan · CACihan University-Erbil · IQJouf University · SAThe University of Queensland · AUUmm al-Qura University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronaviruses are a family of viruses that infect mammals and birds. Coronaviruses cause infections of the respiratory system in humans, which can be minor or fatal. A comparative transcriptomic analysis has been performed to establish essential profiles of the gene expression of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) linked to cystic fibrosis (CF). Transcriptomic studies have been carried out in relation to SARS-CoV-2 since a number of people have been diagnosed with CF. The recognition of differentially expressed genes demonstrated 8 concordant genes shared between the SARS-CoV-2 and CF. Extensive gene ontology analysis and the discovery of pathway enrichment demonstrated SARS-CoV-2 response to CF. The gene ontological terms and pathway enrichment mechanisms derived from this research may affect the production of successful drugs, especially for the people with the following disorder. Identification of TF-miRNA association network reveals the interconnection between TF genes and miRNAs, which may be effective to reveal the other influenced disease that occurs for SARS-CoV-2 to CF. The enrichment of pathways reveals SARS-CoV-2-associated CF mostly engaged with the type of innate immune system, Toll-like receptor signaling pathway, pantothenate and CoA biosynthesis, allograft rejection, graft-versus-host disease, intestinal immune network for IgA production, mineral absorption, autoimmune thyroid disease, legionellosis, viral myocarditis, inflammatory bowel disease (IBD), etc. The drug compound identification demonstrates that the drug targets of IMIQUIMOD and raloxifene are the most significant with the significant hub DEGs.

Indexed as

COVID-19Cystic FibrosisGene Expression ProfilingGene OntologyHumansMicroRNAsSARS-CoV-2Transcription FactorsMicroRNAsTranscription Factors

Identifiers

PMID35528173
PMCPMC9076317
OpenAlexW4225149283

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.