Evidence map›Paper›PMID 33173875›Full record

ArticlebioRxiv : the preprint server for biology2020

SARS-CoV-2 Infects Human Engineered Heart Tissues and Models COVID-19 Myocarditis.

Adam L Bailey, Oleksandr Dmytrenko, Lina Greenberg, Andrea L Bredemeyer, Pan Ma, Jing Liu, Vinay Penna, Lulu Lai, Emma S Winkler, Sanja Sviben and 19 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2020. 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
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, 34 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

29 authors at 8 institutions in 2 countries.

Oleksandr DmytrenkoORCID 0000-0003-2659-2086
Lina Greenberg
Andrea L BredemeyerORCID 0000-0003-2970-5998
Pan Ma
Jing Liu
Vinay Penna
Lulu Lai
Emma S Winkler
Sanja Sviben
Erin Brooks
Ajith P Nair
Kent A Heck
Aniket S Rali
Leo Simpson
Mehrdad Saririan
Dan Hobohm
W Tom Stump
James A Fitzpatrick
Xuping Xie
Pei-Yong Shi
J Travis Hinson
Weng-Tein Gi
Constanze Schmidt
Florian Leuschner
Chieh-Yu Lin
Michael S Diamond
Michael J Greenberg
Washington University in St. Louis · USBaylor College of Medicine · USHeidelberg University · DECreighton University · USThe University of Texas Medical Branch at Galveston · USJackson Laboratory · USUW Health University Hospital · USVanderbilt University · US

Funding

Regulation of cardiac power output in health and diseaseR01HL141086 · NHLBI · WASHINGTON UNIVERSITY · PI GREENBERG, MICHAEL J · 2018 to 2022
$2.7M
NHLBI NIH HHS R01 HL141086
6 · The paper itself

Abstract

Epidemiological studies of the COVID-19 pandemic have revealed evidence of cardiac involvement and documented that myocardial injury and myocarditis are predictors of poor outcomes. Nonetheless, little is understood regarding SARS-CoV-2 tropism within the heart and whether cardiac complications result directly from myocardial infection. Here, we develop a human engineered heart tissue model and demonstrate that SARS-CoV-2 selectively infects cardiomyocytes. Viral infection is dependent on expression of angiotensin-I converting enzyme 2 (ACE2) and endosomal cysteine proteases, suggesting an endosomal mechanism of cell entry. After infection with SARS-CoV-2, engineered tissues display typical features of myocarditis, including cardiomyocyte cell death, impaired cardiac contractility, and innate immune cell activation. Consistent with these findings, autopsy tissue obtained from individuals with COVID-19 myocarditis demonstrated cardiomyocyte infection, cell death, and macrophage-predominate immune cell infiltrate. These findings establish human cardiomyocyte tropism for SARS-CoV-2 and provide an experimental platform for interrogating and mitigating cardiac complications of COVID-19.

Identifiers

PMID33173875
PMCPMC7654892
OpenAlexW3096206781

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.