Evidence map›Paper›PMID 38214559›Full record

ArticleThe Journal of infectious diseases2024

Single-Cell Profiling of the Differential In Vivo Impact of Severe Acute Respiratory Syndrome Coronavirus 2 Infection Among Lung Tissue Cell Subtypes at the Protein Level.

Leila Fotooh Abadi, Madhav B Sharma, Theodoros Kelesidis

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 99% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Leila Fotooh AbadiDepartment of Medicine, Division of Infectious Diseases, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.
Madhav B SharmaDepartment of Medicine, Division of Infectious Diseases, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.
Theodoros KelesidisDepartment of Medicine, Division of Infectious Diseases, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.ORCID 0000-0002-8463-3811
University of California, Los Angeles · US

Funding

Targeting early instigators of vascular inflammation to prevent and/or delay vascular aging in chronic treated HIVR01AG059502 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI KELESIDIS, THEODOROS · 2018 to 2022
$2.0M
Selective Tuning of Stem Cell Extracellular Vesicles as a Novel Therapy for Age-related TendinopathyR43AG059501 · NIA · ZEN-BIO, INC. · PI BUEHRER, BENJAMIN M, LUDLOW, JOHN WILLIAM · 2018 to 2018
$222k
NIA NIH HHS R01 AG059502NIA NIH HHS R43 AG059501NIH HHS R01AG059501 to T. K.
6 · The paper itself

Abstract

The complexity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and its variants in lung cells can truly be characterized only at the tissue and protein levels among unique cell subtypes. However, in vivo data are limited due to lack of accessible human tissues. Using a transgenic mouse model of SARS-CoV-2 infection and flow cytometry, we provide in vivo novel insight at the protein level that the differential impact of SARS-CoV-2 (Wuhan strain) and its B.1.617.2 (Delta) and BA.1 (Omicron) variants on lung may be attributed to differential patterns of viral protein levels among ciliated airway cells, alveolar types 1 and 2 cells, immune cells, and endothelial lung cells.

Indexed as

COVID-19LungMice, TransgenicSARS-CoV-2Single-Cell AnalysisAnimalsDisease Models, AnimalHumansMiceViral ProteinsViral ProteinsLung cellsLung tissue infectionSARS-CoV-2 infectionSARS-CoV-2 nucleocapsid proteinSARS-CoV-2 variants

Identifiers

PMID38214559
PMCPMC11491820
OpenAlexW4390795991

What OpenQuestion holds

Textmetadata
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.