Evidence map›Paper›PMID 35797854›Full record

ArticlePathology, research and practice2022

Cell tropism and viral clearance during SARS-CoV-2 lung infection.

Constantin Schwab, Lisa Maria Domke, Fabian Rose, Ingrid Hausser, Peter Schirmacher, Thomas Longerich

Open access · greenAbstract read
In one paragraph

Article in Pathology, research and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 1 institution in 1 country.

Constantin SchwabInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany. Electronic address: constantin.schwab@med.uni-heidelberg.de.
Lisa Maria DomkeInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Fabian RoseInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Ingrid HausserInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Peter SchirmacherInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Thomas LongerichInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
University Hospital Heidelberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary capillary microthrombosis has been proposed as a major pathogenetic factor driving severe COVID-19. Autopsy studies reported endothelialitis but it is under debate if it is caused by SARS-CoV-2 infection of endothelial cells. In this study, RNA in situ hybridization was used to detect viral RNA and to identify the infected cell types in lung tissue of 40 patients with fatal COVID-19. SARS-CoV-2 Spike protein-coding RNA showed a steadily decreasing signal abundance over a period of three weeks. Besides the original virus strain the variants of concern Alpha (B.1.1.7), Delta (B.1.617.2), and Omicron (B.1.1.529) could also be detected by the assay. Viral RNA was mainly detected in alveolar macrophages and pulmonary epithelial cells, while only single virus-positive endothelial cells were observed even in cases with high viral load suggesting that viral infection of endothelial cells is not a key factor for the development of pulmonary capillary microthrombosis.

Indexed as

COVID-19ThrombosisEndothelial CellsHumansLungRNA, ViralSARS-CoV-2Spike Glycoprotein, CoronavirusTropismRNA, ViralSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Cellular targetCOVID-19EndothelialitisSARS-CoV-2 infectionTime-course

Identifiers

PMID35797854
PMCPMC9245394
OpenAlexW4283728426

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.