Evidence map›Paper›PMID 35672403›Full record

ArticleScientific reports2022

An approach to cellular tropism of SARS-CoV-2 through protein-protein interaction and enrichment analysis.

Daniel Ortega-Bernal, Selene Zarate, Maria de Los Ángeles Martinez-Cárdenas, Rafael Bojalil

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 40% 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, 4 citations in OpenAlex.

  1. Review
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  4. 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 2 institutions in 1 country.

Daniel Ortega-BernalDepartment of Health Care, Universidad Autónoma Metropolitana, Unidad Xochimilco, 04960, Mexico City, Mexico.
Selene ZaratePosgrado en Ciencias Genómicas, Universidad Autónoma de La Ciudad de México, Ciudad de México, Mexico City, 03100, México.
Maria de Los Ángeles Martinez-CárdenasDepartment of Health Care, Universidad Autónoma Metropolitana, Unidad Xochimilco, 04960, Mexico City, Mexico.
Rafael BojalilDepartment of Health Care, Universidad Autónoma Metropolitana, Unidad Xochimilco, 04960, Mexico City, Mexico. rbojalil@correo.xoc.uam.mx.
Universidad Autónoma Metropolitana · MXUniversidad Autónoma de la Ciudad de México · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19, caused by SARS-CoV-2, is a primarily pulmonary disease that can affect several organs, directly or indirectly. To date, there are many questions about the different pathological mechanisms. Here, we generate an approach to identify the cellular-level tropism of SARS-CoV-2 using human proteomics, virus-host interactions, and enrichment analysis. Through a network-based approach, the molecular context was visualized and analyzed. This procedure was also performed for SARS-CoV-1. We obtained proteomes and interactomes from 145 different cells corresponding to 57 different tissues. We discarded the cells without the proteins known for interacting with the virus, such as ACE2 or TMPRSS2. Of the remaining cells, a gradient of susceptibility to infection was observed. In addition, we identified proteins associated with the coagulation cascade that can be directly or indirectly affected by viral proteins. As a whole we identified 55 cells that could be potentially controlled by the virus, with different susceptibilities, mainly being pneumocytes, heart, kidney, liver, or small intestine cells. These results help to explain the molecular context and provide elements for possible treatments in the current situation. This strategy may be useful for other viruses, especially those with limited reported PPI, such as a new virus.

Indexed as

COVID-19SARS-CoV-2Angiotensin-Converting Enzyme 2Host Microbial InteractionsHumansTropismAngiotensin-Converting Enzyme 2

Identifiers

PMID35672403
PMCPMC9172986
OpenAlexW4281766799

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.