Evidence map›Paper›PMID 36979836›Full record

ReviewBiomedicines2023

Bidirectional Relationship between Glycemic Control and COVID-19 and Perspectives of Islet Organoid Models of SARS-CoV-2 Infection.

Tongran Zhang, Nannan Wang, Lingqiang Zhu, Lihua Chen, Huisheng Liu

Open access · goldFull text readReview
In one paragraph

Review in Biomedicines, 2023. 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
1.3field-weighted citation impact, top 22% 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, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Organoids: physiologically relevantJournal of virology · 2025
    Review
  4. Review
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 2 institutions in 1 country.

Tongran ZhangGuangzhou Laboratory, Guangzhou 510006, China.
Nannan WangGuangzhou Laboratory, Guangzhou 510006, China.
Lingqiang ZhuDepartment of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China.
Lihua ChenGuangzhou Laboratory, Guangzhou 510006, China.ORCID 0000-0003-3369-1875
Huisheng LiuGuangzhou Laboratory, Guangzhou 510006, China.
Guangzhou Experimental Station · CNHuazhong University of Science and Technology · CN

Funding

Brain Science and Brain-inspired Research 2022ZD0211803National Key Research and Development Program of China 2020YFA0908200, 2021YFA1101300National Natural Science Foundation of China 82030032, 32070960, 82261138555Natural Science Foundation of Hubei Province 2022CFA004
6 · The paper itself

Abstract

Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) leads to morbidity and mortality, with several clinical manifestations, and has caused a widespread pandemic. It has been found that type 2 diabetes is a risk factor for severe coronavirus disease 2019 (COVID-19) illness. Moreover, accumulating evidence has shown that SARS-CoV-2 infection can increase the risk of hyperglycemia and diabetes, though the underlying mechanism remains unclear because of a lack of authentic disease models to recapitulate the abnormalities involved in the development, regeneration, and function of human pancreatic islets under SARS-CoV-2 infection. Stem-cell-derived islet organoids have been valued as a model to study islets' development and function, and thus provide a promising model for unraveling the mechanisms underlying the onset of diabetes under SARS-CoV-2 infection. This review summarized the latest results from clinical and basic research on SARS-CoV-2-induced pancreatic islet damage and impaired glycemic control. Furthermore, we discuss the potential and perspectives of using human ES/iPS cell-derived islet organoids to unravel the bidirectional relationship between glycemic control and SARS-CoV-2 infection.

Indexed as

COVID-19glycemic controlhyperglycemiaislet organoidsSARS-CoV-2type 2 diabetes

Identifiers

PMID36979836
PMCPMC10045433
OpenAlexW4324054452

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read1
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 Socratic graph.