Evidence map›Paper›PMID 34260684›Full record

ArticleBriefings in bioinformatics2021

Discovering common pathogenetic processes between COVID-19 and diabetes mellitus by differential gene expression pattern analysis.

Md Rezanur Rahman, Tania Islam, Md Shahjaman, Md Rafiqul Islam, Salvo Danilo Lombardo, Placido Bramanti, Rosella Ciurleo, Alessia Bramanti, Andrey Tchorbanov, Francesco Fisicaro and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Use of steroids in COVID-19 patients: A meta-analysis.European journal of pharmacology · 2022
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  12. Peripheral Blood Genes Crosstalk between COVID-19 and Sepsis.International journal of molecular sciences · 2023
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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

13 authors at 7 institutions in 5 countries.

Md Rezanur RahmanDepartment of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Islamic University, Kushtia, Bangladesh.ORCID 0000-0002-8739-8714
Tania IslamDepartment of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Islamic University, Kushtia, Bangladesh.
Md ShahjamanDepartment of Statistics, Begum Rokeya University, Rangpur, Bangladesh.
Md Rafiqul IslamFaculty of Health, Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Brisbane, Australia.
Salvo Danilo LombardoCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT 25.3, A-1090 Vienna, Austria.
Placido BramantiIRCCS Centro Neurolesi "Bonino-Pulejo", Via Provinciale Palermo, Contrada Casazza, 98124 Messina, Italy.
Rosella CiurleoIRCCS Centro Neurolesi "Bonino-Pulejo", Via Provinciale Palermo, Contrada Casazza, 98124 Messina, Italy.
Alessia BramantiIRCCS Centro Neurolesi "Bonino-Pulejo", Via Provinciale Palermo, Contrada Casazza, 98124 Messina, Italy.
Andrey TchorbanovLaboratory of Experimental Immunology, Institute of Microbiology , Bulgarian Academy of Sciences, Sofia, Bulgaria.
Francesco FisicaroDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95124 Catania CT, Italy.
Paolo FagoneDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95124 Catania CT, Italy.ORCID 0000-0002-6694-1992
Ferdinando NicolettiDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95124 Catania CT, Italy.
Manuela PennisiDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95124 Catania CT, Italy.
University of Catania · ITCentro Neurolesi Bonino Pulejo · ITIslamic University · BDAustrian Academy of Sciences · ATBegum Rokeya University · BDBulgarian Academy of Sciences · BGQueensland University of Technology · AU

Funding

Centro Neurolesi Bonino-Pulejo
6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by the newly discovered coronavirus, SARS-CoV-2. Increased severity of COVID-19 has been observed in patients with diabetes mellitus (DM). This study aimed to identify common transcriptional signatures, regulators and pathways between COVID-19 and DM. We have integrated human whole-genome transcriptomic datasets from COVID-19 and DM, followed by functional assessment with gene ontology (GO) and pathway analyses. In peripheral blood mononuclear cells (PBMCs), among the upregulated differentially expressed genes (DEGs), 32 were found to be commonly modulated in COVID-19 and type 2 diabetes (T2D), while 10 DEGs were commonly downregulated. As regards type 1 diabetes (T1D), 21 DEGs were commonly upregulated, and 29 DEGs were commonly downregulated in COVID-19 and T1D. Moreover, 35 DEGs were commonly upregulated in SARS-CoV-2 infected pancreas organoids and T2D islets, while 14 were commonly downregulated. Several GO terms were found in common between COVID-19 and DM. Prediction of the putative transcription factors involved in the upregulation of genes in COVID-19 and DM identified RELA to be implicated in both PBMCs and pancreas. Here, for the first time, we have characterized the biological processes and pathways commonly dysregulated in COVID-19 and DM, which could be in the next future used for the design of personalized treatment of COVID-19 patients suffering from DM as comorbidity.

Indexed as

Computational BiologyCOVID-19Diabetes MellitusGene Expression ProfilingGene Expression RegulationHumansLeukocytes, MononuclearProtein Interaction MapsSARS-CoV-2Transcriptomeblood gene expressionCOVID-19diabetes mellitusmolecular pathwaystranscriptional signatures

Identifiers

PMID34260684
PMCPMC8344483
OpenAlexW3177815850

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.