Evidence map›Paper›PMID 33210826›Full record

ArticleJournal of diabetes2021

The potential effects of clinical antidiabetic agents on SARS-CoV-2.

Hua Qu, Yi Zheng, Yuren Wang, Hongwei Li, Xiufei Liu, Xin Xiong, Linlin Zhang, Jing Gu, Gangyi Yang, Zhiming Zhu and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.4field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. In Silico Models for Anti-COVID-19 Drug Discovery: A Systematic Review.Advances in pharmacological and pharmaceutical sciences · 2023
    Review
  7. Article
  8. Herbal medications and natural products for patients with covid-19 and diabetes mellitus: Potentials and challenges.Phytomedicine plus : international journal of phytotherapy and phytopharmacology · 2022
    Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. COVID-19 and Obesity: Epidemiology, Pathogenesis and Treatment.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    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

12 authors at 2 institutions in 1 country.

Hua Qu *Department of Endocrinology, Translational Research of Diabetes Key Laboratory of Chongqing Education Commission of China, The Second Affiliated Hospital of Army Medical University, Chongqing, China.
Yi Zheng *Department of Endocrinology, Translational Research of Diabetes Key Laboratory of Chongqing Education Commission of China, The Second Affiliated Hospital of Army Medical University, Chongqing, China.
Yuren Wang *Department of Endocrinology, Translational Research of Diabetes Key Laboratory of Chongqing Education Commission of China, The Second Affiliated Hospital of Army Medical University, Chongqing, China.
Hongwei LiDepartment of Medicinal Chemistry, College of Pharmacy, Army Medical University, Chongqing, China.
Xiufei LiuDepartment of Endocrinology, Translational Research of Diabetes Key Laboratory of Chongqing Education Commission of China, The Second Affiliated Hospital of Army Medical University, Chongqing, China.
Xin XiongDepartment of Endocrinology, Translational Research of Diabetes Key Laboratory of Chongqing Education Commission of China, The Second Affiliated Hospital of Army Medical University, Chongqing, China.
Linlin ZhangDepartment of Endocrinology, Translational Research of Diabetes Key Laboratory of Chongqing Education Commission of China, The Second Affiliated Hospital of Army Medical University, Chongqing, China.
Jing GuDepartment of Medicinal Chemistry, College of Pharmacy, Army Medical University, Chongqing, China.
Gangyi YangDepartment of Endocrinology, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Zhiming ZhuDepartment of Hypertension and Endocrinology, The Third Affiliated Hospital of Army Medical University, Chongqing, China.
Hongting ZhengDepartment of Endocrinology, Translational Research of Diabetes Key Laboratory of Chongqing Education Commission of China, The Second Affiliated Hospital of Army Medical University, Chongqing, China.ORCID https://orcid.org/0000-0002-6930-0103
Qin OuyangDepartment of Medicinal Chemistry, College of Pharmacy, Army Medical University, Chongqing, China.
Army Medical University · CNDalian Medical University · CN

Funding

Special Program for Basic Research Frontier of Military Medicine of the Second Affiliated Hospital of Third Military Medical University 2018YQYLY006Talent Project of Third Military Medical University 2017R013Talent Project of Third Military Medical University 2019XQYYYJ003-2The Distinguished Young Scholars Training Program of the Third Military Medical University [2016]609the National Key R&D Program of China 2016YFC1101100the National Key R&D Program of China 2017YFC1309602the National Key R&D Program of China 2018YFA0507900the National Natural Science Foundation of China 81471039the National Natural Science Foundation of China 81600673the National Natural Science Foundation of China 81700714the National Natural Science Foundation of China 81970752The National Science Fund for Distinguished Young Scholars 81925007
6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is currently posing significant threats to public health worldwide. It is notable that a substantial proportion of patients with sever COVID-19 have coexisting diabetic conditions, indicating the progression and outcome of COVID-19 may relate to diabetes. However, it is still unclear whether diabetic treatment principles can be used for the treatment of COVID-19.

methodsWe conducted a computational approach to screen all commonly used clinical oral hypoglycemic drugs to identify the potential inhibitors for the main protease (M

resultsSix antidiabetic drugs with docking scores higher than 8.0 (cutoff value), including repaglinide, canagliflozin, glipizide, gliquidone, glimepiride, and linagliptin, were predicted as the promising inhibitors of M

conclusionThese results indicated that these six antidiabetic drugs may have an extra effect on the treatment of COVID-19, although further studies are necessary to confirm these findings.

Indexed as

COVID-19 Drug TreatmentA549 CellsAntiviral AgentsBinding SitesCoronavirus M ProteinsDrug DiscoveryHumansHypoglycemic AgentsModels, MolecularMolecular Docking SimulationMolecular Dynamics SimulationNelfinavirProtease InhibitorsViral Matrix ProteinsAntiviral AgentsCoronavirus M ProteinsHypoglycemic Agentsmembrane protein, SARS-CoV-2NelfinavirProtease InhibitorsViral Matrix Proteinsantidiabetic agentsCOVID-19diabetesSARS-CoV-2新型冠状病毒。新型冠状病毒肺炎糖尿病降糖药物

Identifiers

PMID33210826
PMCPMC7753367
OpenAlexW3101244427

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.