Evidence map›Paper›PMID 36968839›Full record

ArticleFrontiers in medicine2023

Spatial transcriptomic profiling of coronary endothelial cells in SARS-CoV-2 myocarditis.

Camilla Margaroli, Paul Benson, Maria G Gastanadui, Chunyan Song, Liliana Viera, Dongqi Xing, J Michael Wells, Rakesh Patel, Amit Gaggar, Gregory A Payne

Open access · goldFull text read
In one paragraph

Article in Frontiers in medicine, 2023. 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
1.0field-weighted citation impact, top 27% 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, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Camilla MargaroliDepartment of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.
Paul BensonDepartment of Pathology, Division of Anatomic Pathology, University of Alabama at Birmingham, Birmingham, AL, United States.
Maria G GastanaduiCardiopulmonary Research Program, University of Alabama at Birmingham, Birmingham, AL, United States.
Chunyan SongProgram in Protease/Matrix Biology, University of Alabama at Birmingham, Birmingham, AL, United States.
Liliana VieraDepartment of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.
Dongqi XingDepartment of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.
J Michael WellsDepartment of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.
Rakesh PatelProgram in Protease/Matrix Biology, University of Alabama at Birmingham, Birmingham, AL, United States.
Amit GaggarDepartment of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.
Gregory A PayneProgram in Protease/Matrix Biology, University of Alabama at Birmingham, Birmingham, AL, United States.
University of Alabama at Birmingham · USBirmingham VA Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Our objective was to examine coronary endothelial and myocardial programming in patients with severe COVID-19 utilizing digital spatial transcriptomics. Background: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has well-established links to thrombotic and cardiovascular events. Endothelial cell infection was initially proposed to initiate vascular events; however, this paradigm has sparked growing controversy. The significance of myocardial infection also remains unclear. Methods: Autopsy-derived cardiac tissue from control ( Results: We observed heterogeneous myocardial infection that tended to colocalize with CD31 positive cells within coronary capillaries. Despite these differences, COVID-19 patients displayed a uniform and unique myocardial transcriptional profile independent of local viral burden. Segmentation of tissues directly infected with SARS-CoV-2 showed unique, pro-inflammatory expression profiles including upregulated mediators of viral antigen presentation and immune regulation. Infected cell types appeared to primarily be capillary endothelial cells as differentially expressed genes included endothelial cell markers. However, there was limited differential expression within the endothelium of larger coronary vessels. Conclusion: Our results highlight altered myocardial programming during severe COVID-19 that may in part be associated with capillary endothelial cells. However, similar patterns were not observed in larger vessels, diminishing endotheliitis, and endothelial activation as key drivers of cardiovascular events during COVID-19.

Indexed as

cell programmingendotheliummyocarditissevere acute respiratory syndrome coronavirus-2spatial transcriptomic

Identifiers

PMID36968839
PMCPMC10034160
OpenAlexW4323666905

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read14
reference markers read2
identifiers read2
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 Socratic graph.