Evidence map›Paper›PMID 34385425›Full record

ArticleCell death & disease2021

Looking for pathways related to COVID-19: confirmation of pathogenic mechanisms by SARS-CoV-2-host interactome.

Francesco Messina, Emanuela Giombini, Chiara Montaldo, Ashish Arunkumar Sharma, Antonio Zoccoli, Rafick-Pierre Sekaly, Franco Locatelli, Alimuddin Zumla, Markus Maeurer, Maria R Capobianchi and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 17% 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

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

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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

12 authors at 6 institutions in 5 countries.

Francesco MessinaNational Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy.ORCID 0000-0001-8076-7217
Emanuela GiombiniNational Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy.
Chiara MontaldoNational Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy.
Ashish Arunkumar SharmaDepartment of Pathology, Emory University School of Medicine, Atlanta, GA, USA.
Antonio ZoccoliNational Institute of Nuclear Physics (INFN), Bologna, Italy.
Rafick-Pierre SekalyDepartment of Pathology, Emory University School of Medicine, Atlanta, GA, USA.
Franco LocatelliDepartment of Pediatric Hematology and Oncology IRCCS Ospedale Pediatrico Bambino Gesù, Rome, Italy.
Alimuddin ZumlaDepartment of Infection, Division of Infection and Immunity, University College London, and National Institutes of Health and Research Biomedical Research Centre, University College London Hospitals NHS Foundation Trust, London, UK.
Markus MaeurerChampalimaud Centre for the Unknown, Lisbon, Portugal.
Maria R CapobianchiNational Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy.
Francesco Nicola Lauria *National Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy.
Giuseppe Ippolito *National Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy. giuseppe.ippolito@inmi.it.ORCID 0000-0002-1076-2979
Istituto Nazionale per le Malattie Infettive Lazzaro Spallanzani · ITEmory University · USBambino Gesù Children's Hospital · ITChampalimaud Foundation · PTIstituto Nazionale di Fisica Nucleare · ITUniversity College London Hospitals NHS Foundation Trust · GB

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) PANDORA-ID-NETMinistero della Salute (Ministry of Health, Italy) Ricerca Corrente linea 1
6 · The paper itself

Abstract

In the last months, many studies have clearly described several mechanisms of SARS-CoV-2 infection at cell and tissue level, but the mechanisms of interaction between host and SARS-CoV-2, determining the grade of COVID-19 severity, are still unknown. We provide a network analysis on protein-protein interactions (PPI) between viral and host proteins to better identify host biological responses, induced by both whole proteome of SARS-CoV-2 and specific viral proteins. A host-virus interactome was inferred, applying an explorative algorithm (Random Walk with Restart, RWR) triggered by 28 proteins of SARS-CoV-2. The analysis of PPI allowed to estimate the distribution of SARS-CoV-2 proteins in the host cell. Interactome built around one single viral protein allowed to define a different response, underlining as ORF8 and ORF3a modulated cardiovascular diseases and pro-inflammatory pathways, respectively. Finally, the network-based approach highlighted a possible direct action of ORF3a and NS7b to enhancing Bradykinin Storm. This network-based representation of SARS-CoV-2 infection could be a framework for pathogenic evaluation of specific clinical outcomes. We identified possible host responses induced by specific proteins of SARS-CoV-2, underlining the important role of specific viral accessory proteins in pathogenic phenotypes of severe COVID-19 patients.

Indexed as

COVID-19Host Microbial InteractionsImmunityProtein Interaction MapsProteomeProteomicsSARS-CoV-2Severity of Illness IndexViral ProteinsViral Regulatory and Accessory ProteinsProteomeViral ProteinsViral Regulatory and Accessory Proteins

Identifiers

PMID34385425
PMCPMC8357963
OpenAlexW3192794822

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.