Evidence map›Paper›PMID 34437890›Full record

ReviewJournal of molecular biology2022

An Adverse Outcomes Approach to Study the Effects of SARS-CoV-2 in 3D Organoid Models.

Amrita Basu, Annapurna Pamreddy, Pragya Singh, Kumar Sharma

Open access · greenAbstract readReview
In one paragraph

Review in Journal of molecular biology, 2022. 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
0.8field-weighted citation impact, top 32% 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, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

4 authors at 1 institution in 1 country.

Amrita BasuSVR BIOSCIENCE RESEARCH SERVICES, Salboni, West Bengal, India. Electronic address: https://www.svrbioscience.com.
Annapurna PamreddyDivision of Nephrology, Department of Medicine, University of Texas Health, Long School of Medicine, San Antonio, TX, USA.
Pragya SinghDivision of Nephrology, Department of Medicine, University of Texas Health, Long School of Medicine, San Antonio, TX, USA.
Kumar SharmaDivision of Nephrology, Department of Medicine, University of Texas Health, Long School of Medicine, San Antonio, TX, USA; Audie L. Murphy Memorial VA Hospital, South Texas Veterans Health Care System, San Antonio, TX, USA. Electronic address: SharmaK3@uthscsa.edu.
The University of Texas Health Science Center at San Antonio · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel SARS-CoV-2 virus outbreak is the major cause of a respiratory disease known as COVID-19. It has caused a global pandemic and has resulted in mortality in millions. The primary mode of infection is respiratory ailments, however, due to multi-organ complications, COVID-19 patients displays a greater mortality numbers. Due to the 3Rs Principle (Refine, Reduce, Replacement), the scientific community has shifted its focus to 3D organoid models rather than testing animal models. 3D organoid models provide a better physiological architecture as it mimics the real tissue microenvironment and is the best platform to recapitulate organs in a dish. Hence, the organoid approach provides a more realistic drug response in comparison to the traditional 2D cellular models, which lack key physiological relevance due to the absence of proper surface topography and cellular interactions. Furthermore, an adverse outcome pathway (AOPs) provides a best fit model to identify various molecular and cellular events during the exposure of SARS-CoV-2. Hence, 3D organoid research provides information related to gene expression, cell behavior, antiviral studies and ACE2 expression in various organs. In this review, we discuss state-of-the-art lung, liver and kidney 3D organoid system utilizing the AOPs to study SARS-CoV-2 molecular pathogenesis. Furthermore, current challenges are discussed for future application of 3D organoid systems for various disease states.

Indexed as

Models, BiologicalOrganoidsAngiotensin-Converting Enzyme 2COVID-19HumansMultiple Organ FailureSARS-CoV-2ACE2 protein, humanAngiotensin-Converting Enzyme 2adverse outcome pathway (AOP)angiotensin-converting enzyme 2 (ACE2)kidney 3D organoidsliver 3D organoidslung 3D organoids

Identifiers

PMID34437890
PMCPMC8381630
OpenAlexW3194951973

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.