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ArticleAdvances in experimental medicine and biology2021

Induced Pluripotent Stem Cell Derived Human Lung Organoids to Map and Treat the SARS-CoV2 Infections In Vitro.

Bipasha Bose, Saketh Kapoor, Muhammad Nihad

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Article in Advances in experimental medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

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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

3 authors.

Bipasha BoseStem Cells and Regenerative Medicine Centre, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, Karnataka, India. Bipasha.bose@yenepoya.edu.in.
Saketh Kapoor *Stem Cells and Regenerative Medicine Centre, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, Karnataka, India.
Muhammad Nihad *Stem Cells and Regenerative Medicine Centre, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is the current day pandemic that has claimed around 1,054,604 lives globally till date. Moreover, the number of deaths is going to increase over the next few months until the pandemic comes to an end, and a second wave has also been reported in few countries. Most interestingly, the death rate among certain populations from the same COVID-19 infection is highly variable. For instance, the European populations show a very high death rate, in contrast to the populations from Chinese ethnicities. Amongst all the closed cases with an outcome (total recovered + total died), the death rate in Italy is 13%, Iran is 6%, China is 5%, Brazil is 3%, The United States of America is 2%, India 2%, Israel is 1% as of October 08, 2020. However, the percentage was higher during the early phase of the pandemic. Moreover, the global death rate amongst all the patients with an outcome is 4%. Here we have reviewed virus-transmitted various respiratory tract infections and postulated a better understanding of SARS-CoV2 using lung stem cell organoids in vitro. Hence, here we propose the strategies of understanding first the infectivity/severity ratio of COVID-19 infections using various ethnicity originated induced pluripotent stem cell-derived lung stem cell organoids in vitro. The greater the infectivity to severity ratio, the better the disease outcome with the value of 1 being the worst disease outcome. This strategy will be useful for understanding the infectivity/severity ratio of virus induced respiratory tract infections for a possible betterment of community-based disease management. Also, such a strategy will be useful for screening the effect of various antiviral drugs/repurposed drugs for their efficacy in vitro.

Indexed as

COVID-19Induced Pluripotent Stem CellsBrazilChinaHumansItalyLungOrganoidsRNA, ViralSARS-CoV-2RNA, ViralCoronavirusCOVID-19iPSCLung stem cell organoidsRespiratory tract infectionsSARS-CoV2

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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.