Evidence map›Paper›PMID 40078308›Full record

ArticleBiosafety and health2024

Screening and identifying natural products with SARS-CoV-2 infection inhibitory activity from medicinal fungi.

Shuang Zhao, Amelia Siqi Huang, Weibo Zhang, Lili Ren, Hexiang Wang, Jianbin Wang, Xinyang Shao, Guanbo Wang

Abstract read
In one paragraph

Article in Biosafety and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Shuang ZhaoInstitute of Agri-Food Processing and Nutrition, Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Amelia Siqi HuangDalton Academy, The Affiliated High School of Peking University, Beijing 100190, China.
Weibo ZhangDalton Academy, The Affiliated High School of Peking University, Beijing 100190, China.
Lili RenNHC Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux Laboratory, National Institute of Pathogen Biology, Beijing 100730, China.
Hexiang WangCollege of Biological Sciences, China Agricultural University, Beijing 100193, China.
Jianbin WangSchool of Life Sciences, Tsinghua University, Beijing 100084, China.
Xinyang ShaoChangping Laboratory, Beijing 102206, China.
Guanbo WangInstitute for Cell Analysis, Shenzhen Bay Laboratory, Shenzhen 518132, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease of 2019 (COVID-19), a global pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), can result in severe health complications. In addition to physical preventative measures, pharmaceutical intervention is also crucial. Numerous natural products from medicinal fungi have shown promise as potential antiviral drugs and may serve as a source of effective components with antiviral activity against SARS-CoV-2 and other coronaviruses. In this study, we developed a workflow that integrates viral infection inhibition assays at both cellular and molecular levels, as well as molecular separation and characterization, to screen and identify natural products with antiviral activity. Using this workflow, we screened 167 extracts extracted from 36 medicinal fungi using optimized extraction methods. We assessed the antiviral effects of these extracts by measuring their ability to inhibit SARS-CoV-2 infection and receptor binding domain - human angiotensin-converting enzyme 2 (RBD-hACE2) binding

Indexed as

Antiviral activityCOVID-19Medicinal fungiNatural productsPolysaccharides

Identifiers

PMID40078308
PMCPMC11894996

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.