Evaluation of diversity levels of the integrase gene sequences coming from HIV-1 virus, supporting the lack of target specificity of ivermectin versus the integrase-importin complex in SARS-CoV-2 infection

  1. Pierre Teodósio Félix

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Abstract

Therapies with new drugs have been appearing in tests worldwide as potential inhibitors of sars-cov-2 virus replication. Recently, one of these drugs, Ivermectin, was reported as an inhibitor of the nuclear import of HIV-1 proteins in vitro , soon becoming the target of an international prospecting work (not yet published), with patients tested for COVID-19. However, understanding the evolutionary aspects of the biological components involved in the complex drug-nuclear import helps in understanding how these relationships exist in the deactivation of viral infections. Thus, 153 sequences of the HIV-1 integrase gene were analyzed for their genetic structure and molecular diversity and the presence of two distinct groups for the Gene and not only one, was detected; As well as different degrees of structuring for each of these groups. These results support the interpretation of the lack of conservation of the HIV-1 gene and that the number of existing polymorphisms, only for this structure of the complex, implies the non-efficiency of a drug at population levels. Thus, the molecular diversity found in HIV-1 can be extrapolated to other viruses, such as Including, SARS-CoV-2 and the functionality of the drug, interacting with the integrase-importin complex, can be further decreased.

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  1. Version published to 10.1101/2020.07.18.210096v2 on bioRxiv
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    SciScore for 10.1101/2020.07.18.210096: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Genetic Structuring Analyses: Paired FST estimators were obtained with the software Arlequin v.
    Arlequin
    suggested: (ARLEQUIN, RRID:SCR_009051)
    The FST matrix generated by the software was used in the construction of a dendrogram based on the UPGMA distance method with the MEGA X software (TAMURA et al., 2018) and the FST and geographic distance matrices were not compared.
    MEGA X
    suggested: None

    Results from OddPub: Thank you for sharing your data.

    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • No funding statement was detected.
    • No protocol registration statement was detected.

    About SciScore

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  3. Version published to 10.1101/2020.07.18.210096v1 on bioRxiv