ArticleHeliyon2023
Decoy peptides effectively inhibit the binding of SARS-CoV-2 to ACE2 on oral epithelial cells.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed, 6 citations in OpenAlex.
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The entry of SARS-CoV-2 into host cells involves the interaction between the viral spike protein and the human angiotensin-converting enzyme 2 (ACE2) receptor. Given that the spike protein evolves rapidly to evade host immunity, therapeutics that block ACE2 accessibility, such as spike decoys, could serve as an alternative strategy for attenuating viral infection. Here, we constructed a drug screening platform based on oral epithelial cells to rapidly identify peptides or compounds capable of blocking the spike-ACE2 interaction. We engineered short decoy peptides, 8 to 14 amino acids in length, using the spike protein's receptor-binding motif (RBM) and demonstrated that these peptides can effectively inhibit virus attachment to host cells. Additionally, we discovered that diminazene aceturate (DIZE), an ACE2 activator, similarly inhibited virus binding. Our research thus validates the potential of decoy peptides as a new therapeutic strategy against SARS-CoV-2 infections, opening avenues for further development and study.
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Registered trials
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.