Evidence map›Paper›PMID 35863002›Full record

ArticleMicrobiology spectrum2022

Human Air-Liquid-Interface Organotypic Airway Cultures Express Significantly More ACE2 Receptor Protein and Are More Susceptible to HCoV-NL63 Infection than Monolayer Cultures of Primary Respiratory Epithelial Cells.

Gino Castillo, Juan Carlos Mora-Díaz, Rahul K Nelli, Luis G Giménez-Lirola

Abstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Infection of primary nasal epithelial cells differentiates among lethal and seasonal human coronaviruses.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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.

Gino CastilloDepartment of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State Universitygrid.34421.30, Ames, Iowa, USA.
Juan Carlos Mora-DíazDepartment of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State Universitygrid.34421.30, Ames, Iowa, USA.ORCID 0000-0002-0725-122X
Rahul K NelliDepartment of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State Universitygrid.34421.30, Ames, Iowa, USA.ORCID 0000-0001-8765-0943
Luis G Giménez-LirolaDepartment of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State Universitygrid.34421.30, Ames, Iowa, USA.ORCID 0000-0002-4407-7996

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human coronavirus NL63 (HCoV-NL63) is commonly associated with mild respiratory tract infections in infants, being that the respiratory epithelial cells are the main target for infection and initial replication of this virus. Standard immortalized cells are highly permissive to HCoV-NL63, and they are routinely used for isolation and propagation of the virus from clinical specimens. However, these cell lines are not the natural cell target of the virus and lack sufficient complexity to mimic the natural infection process

Indexed as

Angiotensin-Converting Enzyme 2Coronavirus NL63, HumanEpithelial CellsAnimalsCells, CulturedHumansACE2 protein, humanAngiotensin-Converting Enzyme 2ACE2AlphacoronaviruscoronavirusHCoV-NL63infectionLLC-MK2organotypic airway culturesprimary human respiratory epithelial cellsupper respiratory tract

Identifiers

PMID35863002
PMCPMC9431431

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.