Evidence map›Paper›PMID 33282147›Full record

ReviewComputational and structural biotechnology journal2020

ACE2 partially dictates the host range and tropism of SARS-CoV-2.

Shan Gao, Leiliang Zhang

Abstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
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

28 citing papers in PubMed.

  1. A survey of SARS-CoV-2 tropism.Infectious diseases & immunity · 2025
    Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. SARS-CoV-2 and natural infection in animals.Journal of medical virology · 2023
    Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Host and Viral Zinc-Finger Proteins in COVID-19.International journal of molecular sciences · 2022
    Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Review
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

2 authors.

Shan GaoDepartment of Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University, Ji'nan 250014, Shandong, China.
Leiliang ZhangDepartment of Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University, Ji'nan 250014, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19, which is caused by SARS-CoV-2, has been declared a global pandemic. Although effective strategies have been applied to treat the disease, much is still unknown about this novel virus. SARS-CoV-2 enters host cells through ACE2, which is a component of the angiotensin-regulating system. Binding of the SARS-CoV-2 S protein to ACE2 is a prerequisite for SARS-CoV-2 infection. Many studies have indicated a close relationship between ACE2 expression and SARS-CoV-2 infection. The structural basis of receptor recognition by SARS-CoV-2 has been analyzed in detail. The diversification of the ACE2 sequence due to ACE2 polymorphisms and alternative splicing has to a large extent affected the susceptibility of different species. Differential ACE2 expression makes specific populations more prone to be infected, and ACE2 also plays a role in the broad tropism of SARS-CoV-2 in human organs and tissues. In this review, we comprehensively summarize how the ACE2 expression profile affects the host range and tropism of SARS-CoV-2, which will provide mechanistic insights into the susceptibilities and outcomes of SARS-CoV-2 infection.

Indexed as

ACE2COVID-19Host rangeHost tropismSARS-CoV-2

Identifiers

PMID33282147
PMCPMC7700767

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.