Evidence map›Paper›PMID 34441862›Full record

ArticleJournal of clinical medicine2021

Weighted Gene Co-Expression Network Analysis Combined with Machine Learning Validation to Identify Key Modules and Hub Genes Associated with SARS-CoV-2 Infection.

Hassan Karami, Afshin Derakhshani, Mohammad Ghasemigol, Mohammad Fereidouni, Ebrahim Miri-Moghaddam, Behzad Baradaran, Neda Jalili Tabrizi, Souzan Najafi, Antonio Giovanni Solimando, Leigh M Marsh and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 4 pooled it
2.4field-weighted citation impact, top 9% 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, 4 syntheses or guidelines pooled it, 48 citations in OpenAlex.

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  18. Integrating the analysis of human biopsies using post-translational modifications proteomics.Protein science : a publication of the Protein Society · 2024
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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

15 authors at 6 institutions in 3 countries.

Hassan KaramiStudent Research Committee, Birjand University of Medical Sciences, Birjand 9717853577, Iran.ORCID 0000-0003-2915-8031
Afshin DerakhshaniLaboratory of Experimental Pharmacology, IRCCS-Istituto Tumori Giovanni Paolo II, 70124 Bari, Italy.ORCID 0000-0002-3243-233X
Mohammad GhasemigolDepartment of Computer Engineering, University of Birjand, Birjand 9717434765, Iran.ORCID 0000-0001-6661-0942
Mohammad FereidouniCellular and Molecular Research Center, Birjand University of Medical Sciences, Birjand 9717853577, Iran.
Ebrahim Miri-MoghaddamCardiovascular Diseases Research Center & Department of Molecular Medicine, School of Medicine, Birjand University of Medical Sciences, Birjand 9717853577, Iran.ORCID 0000-0001-9435-2450
Behzad BaradaranImmunology Research Center, Tabriz University of Medical Sciences, Tabriz 516615731, Iran.ORCID 0000-0002-8642-6795
Neda Jalili TabriziImmunology Research Center, Tabriz University of Medical Sciences, Tabriz 516615731, Iran.
Souzan NajafiImmunology Research Center, Tabriz University of Medical Sciences, Tabriz 516615731, Iran.
Antonio Giovanni SolimandoDepartment of Biomedical Sciences and Human Oncology, University of Bari "Aldo Moro", 70121 Bari, Italy.ORCID 0000-0002-2293-9698
Leigh M MarshLudwig Boltzmann Institute for Lung Vascular Research, Neue Stiftingtalstraße 6/VI, 8010 Graz, Austria.ORCID 0000-0002-1754-9249
Nicola SilvestrisDepartment of Biomedical Sciences and Human Oncology, University of Bari "Aldo Moro", 70121 Bari, Italy.ORCID 0000-0001-7814-7318
Simona De SummaMolecular Diagnostics and Pharmacogenetics Unit, IRCCS-Istituto Tumori 'Giovanni Paolo II', 70124 Bari, Italy.ORCID 0000-0001-9607-3754
Angelo Virgilio ParadisoNational Cancer Research Centre, Istituto Tumori G Paolo II, 70124 Bari, Italy.ORCID 0000-0001-6495-2295
Vito RacanelliDepartment of Biomedical Sciences and Human Oncology, University of Bari "Aldo Moro", 70121 Bari, Italy.ORCID 0000-0002-8639-1940
Hossein SafarpourCellular and Molecular Research Center, Birjand University of Medical Sciences, Birjand 9717853577, Iran.ORCID 0000-0001-9883-9186
Birjand University of Medical Sciences · IRTabriz University of Medical Sciences · IRIstituto Tumori Bari · ITUniversity of Bari Aldo Moro · ITLudwig Boltzmann Institute for Lung Vascular Research · ATUniversity of Birjand · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease-2019 (COVID-19) pandemic has caused an enormous loss of lives. Various clinical trials of vaccines and drugs are being conducted worldwide; nevertheless, as of today, no effective drug exists for COVID-19. The identification of key genes and pathways in this disease may lead to finding potential drug targets and biomarkers. Here, we applied weighted gene co-expression network analysis and LIME as an explainable artificial intelligence algorithm to comprehensively characterize transcriptional changes in bronchial epithelium cells (primary human lung epithelium (NHBE) and transformed lung alveolar (A549) cells) during severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Our study detected a network that significantly correlated to the pathogenicity of COVID-19 infection based on identified hub genes in each cell line separately. The novel hub gene signature that was detected in our study, including

Indexed as

bronchial epithelium cellsCOVID-19explainable artificial intelligenceSARS-CoV-2transcriptional profilingtreatmentWGCNA

Identifiers

PMID34441862
PMCPMC8397209
OpenAlexW3194731995

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.