Evidence map›Paper›PMID 36172136›Full record

ArticlebioRxiv : the preprint server for biology2022

Parallel use of pluripotent human stem cell lung and heart models provide new insights for treatment of SARS-CoV-2.

Rajeev Rudraraju, Matthew J Gartner, Jessica A Neil, Elizabeth S Stout, Joseph Chen, Elise J Needham, Michael See, Charley Mackenzie-Kludas, Leo Yi Yang Lee, Mingyang Wang and 18 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2022. 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, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors at 8 institutions in 2 countries.

Rajeev Rudraraju
Matthew J Gartner
Jessica A Neil
Elizabeth S Stout
Joseph Chen
Elise J Needham
Michael See
Charley Mackenzie-Kludas
Leo Yi Yang Lee
Mingyang Wang
Hayley Pointer
Kathy Karavendzas
Dad Abu-Bonsrah
Damien Drew
Yu Bo Yang Sun
Jia Ping Tan
Guizhi Sun
Abbas Salavaty
Natalie Charitakis
Hieu T Nim
Peter D Currie
Wai-Hong Tham
Enzo Porrello
Jose Polo
Sean J Humphrey
Mirana Ramialison
David A Elliott
Kanta Subbarao
The University of Melbourne · AUMurdoch Children's Research Institute · AURoyal Children's Hospital · AUDiscovery Institute · USAustralian Regenerative Medicine Institute · AUThe University of Sydney · AUMonash University · AUWalter and Eliza Hall Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 primarily infects the respiratory tract, but pulmonary and cardiac complications occur in severe COVID-19. To elucidate molecular mechanisms in the lung and heart, we conducted paired experiments in human stem cell-derived lung alveolar type II (AT2) epithelial cell and cardiac cultures infected with SARS-CoV-2. With CRISPR- Cas9 mediated knock-out of ACE2, we demonstrated that angiotensin converting enzyme 2 (ACE2) was essential for SARS-CoV-2 infection of both cell types but further processing in lung cells required TMPRSS2 while cardiac cells required the endosomal pathway. Host responses were significantly different; transcriptome profiling and phosphoproteomics responses depended strongly on the cell type. We identified several antiviral compounds with distinct antiviral and toxicity profiles in lung AT2 and cardiac cells, highlighting the importance of using several relevant cell types for evaluation of antiviral drugs. Our data provide new insights into rational drug combinations for effective treatment of a virus that affects multiple organ systems. One-sentence summary: Rational treatment strategies for SARS-CoV-2 derived from human PSC models.

Identifiers

PMID36172136
PMCPMC9516846
OpenAlexW4296985171

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.