Evidence map›Paper›PMID 34656419›Full record

ReviewCytotherapy2022

Induced pluripotent stem cell-based disease modeling and prospective immune therapy for coronavirus disease 2019.

Koushik Chakrabarty, Rohit Shetty, Shubham Argulwar, Debashish Das, Arkasubhra Ghosh

Open access · bronzeAbstract readReview
In one paragraph

Review in Cytotherapy, 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
0.4field-weighted citation impact, top 36% 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, 8 citations in OpenAlex.

  1. Review
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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

5 authors at 1 institution in 1 country.

Koushik ChakrabartyGROW Research Laboratory, Narayana Nethralaya Foundation, Bangalore, India. Electronic address: koushik@narayananethralaya.com.
Rohit ShettyCornea and Refractive Surgery, Narayana Nethralaya, Bangalore, India.
Shubham ArgulwarGROW Research Laboratory, Narayana Nethralaya Foundation, Bangalore, India.
Debashish DasStem Cell Research Laboratory, GROW Research Laboratory, Narayana Nethralaya Foundation, Bangalore, India.
Arkasubhra GhoshGROW Research Laboratory, Narayana Nethralaya Foundation, Bangalore, India.
Narayana Nethralaya · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic poses a never before seen challenge to human health and the economy. Considering its clinical impact, with no streamlined therapeutic strategies in sight, it is crucial to understand the infection process of SARS-CoV-2. Our limited knowledge of the mechanisms underlying SARS-CoV-2 infection impedes the development of alternative therapeutics to address the pandemic. This aspect can be addressed by modeling SARS-CoV-2 infection in the human context to facilitate drug screening and discovery. Human induced pluripotent stem cell (iPSC)-derived lung epithelial cells and organoids recapitulating the features and functionality of the alveolar cell types can serve as an in vitro human model and screening platform for SARS-CoV-2. Recent studies suggest an immune system asynchrony leading to compromised function and a decreased proportion of specific immune cell types in coronavirus disease 2019 (COVID-19) patients. Replenishing these specific immune cells may serve as useful treatment modality against SARS-CoV-2 infection. Here the authors review protocols for deriving lung epithelial cells, alveolar organoids and specific immune cell types, such as T lymphocytes and natural killer cells, from iPSCs with the aim to aid investigators in making relevant in vitro models of SARS-CoV-2 along with the possibility derive immune cell types to treat COVID-19.

Indexed as

COVID-19Induced Pluripotent Stem CellsHumansOrganoidsProspective StudiesSARS-CoV-2immune therapyinduced pluripotent stem cellslung epithelial cellsNK cellsorganoidsSARS-CoV-2T cells

Identifiers

PMID34656419
PMCPMC8437760
OpenAlexW3200878691

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.