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Mohammad Al-Natour
Department of Veterinary Pathology & Public Health, Faculty of Veterinary Medicine, Jordan University of Science and Technology (JUST), P.O. Box 3030, Irbid 22110, Jordan

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Journal article
Published: 06 August 2021 in International Journal of Molecular Sciences
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Mammalian cells utilize a wide spectrum of pathways to antagonize the viral replication. These pathways are typically regulated by antiviral proteins and can be constitutively expressed but also exacerbated by interferon induction. A myriad of interferon-stimulated genes (ISGs) have been identified in mounting broad-spectrum antiviral responses. Members of the interferon-induced transmembrane (IFITM) family of proteins are unique among these ISGs due to their ability to prevent virus entry through the lipid bilayer into the cell. In the current study, we generated transgenic chickens that constitutively and stably expressed chicken IFITM1 (chIFITM1) using the avian sarcoma-leukosis virus (RCAS)-based gene transfer system. The challenged transgenic chicks with clinical dose 104 egg infective dose 50 (EID50) of highly pathogenic avian influenza virus (HPAIV) subtype H5N1 (clade 2.2.1.2) showed 100% protection and significant infection tolerance. Although challenged transgenic chicks displayed 60% protection against challenge with the sub-lethal dose (EID50 105), the transgenic chicks showed delayed clinical symptoms, reduced virus shedding, and reduced histopathologic alterations compared to non-transgenic challenged control chickens. These finding indicate that the sterile defense against H5N1 HPAIV offered by the stable expression of chIFITM1 is inadequate; however, the clinical outcome can be substantially ameliorated. In conclusion, chIFITM proteins can inhibit influenza virus replication that can infect various host species and could be a crucial barrier against zoonotic infections.

ACS Style

Mohammed Rohaim; Mohammad Al-Natour; Mohammed Abdelsabour; Rania El Naggar; Yahia Madbouly; Kawkab Ahmed; Muhammad Munir. Transgenic Chicks Expressing Interferon-Inducible Transmembrane Protein 1 (IFITM1) Restrict Highly Pathogenic H5N1 Influenza Viruses. International Journal of Molecular Sciences 2021, 22, 8456 .

AMA Style

Mohammed Rohaim, Mohammad Al-Natour, Mohammed Abdelsabour, Rania El Naggar, Yahia Madbouly, Kawkab Ahmed, Muhammad Munir. Transgenic Chicks Expressing Interferon-Inducible Transmembrane Protein 1 (IFITM1) Restrict Highly Pathogenic H5N1 Influenza Viruses. International Journal of Molecular Sciences. 2021; 22 (16):8456.

Chicago/Turabian Style

Mohammed Rohaim; Mohammad Al-Natour; Mohammed Abdelsabour; Rania El Naggar; Yahia Madbouly; Kawkab Ahmed; Muhammad Munir. 2021. "Transgenic Chicks Expressing Interferon-Inducible Transmembrane Protein 1 (IFITM1) Restrict Highly Pathogenic H5N1 Influenza Viruses." International Journal of Molecular Sciences 22, no. 16: 8456.

Journal article
Published: 01 September 2020 in Viruses
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Until vaccines and effective therapeutics become available, the practical solution to transit safely out of the current coronavirus disease 19 (CoVID-19) lockdown may include the implementation of an effective testing, tracing and tracking system. However, this requires a reliable and clinically validated diagnostic platform for the sensitive and specific identification of SARS-CoV-2. Here, we report on the development of a de novo, high-resolution and comparative genomics guided reverse-transcribed loop-mediated isothermal amplification (LAMP) assay. To further enhance the assay performance and to remove any subjectivity associated with operator interpretation of results, we engineered a novel hand-held smart diagnostic device. The robust diagnostic device was further furnished with automated image acquisition and processing algorithms and the collated data was processed through artificial intelligence (AI) pipelines to further reduce the assay run time and the subjectivity of the colorimetric LAMP detection. This advanced AI algorithm-implemented LAMP (ai-LAMP) assay, targeting the RNA-dependent RNA polymerase gene, showed high analytical sensitivity and specificity for SARS-CoV-2. A total of ~200 coronavirus disease (CoVID-19)-suspected NHS patient samples were tested using the platform and it was shown to be reliable, highly specific and significantly more sensitive than the current gold standard qRT-PCR. Therefore, this system could provide an efficient and cost-effective platform to detect SARS-CoV-2 in resource-limited laboratories.

ACS Style

Mohammed Rohaim; Emily Clayton; Irem Sahin; Julianne Vilela; Manar Khalifa; Mohammad Al-Natour; Mahmoud Bayoumi; Aurore Poirier; Manoharanehru Branavan; Mukunthan Tharmakulasingam; Nouman Chaudhry; Ravinder Sodi; Amy Brown; Peter Burkhart; Wendy Hacking; Judy Botham; Joe Boyce; Hayley Wilkinson; Craig Williams; Jayde Whittingham-Dowd; Elisabeth Shaw; Matt Hodges; Lisa Butler; Michelle Bates; Roberto La Ragione; Wamadeva Balachandran; Anil Fernando; Muhammad Munir. Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (ai-LAMP) for Rapid Detection of SARS-CoV-2. Viruses 2020, 12, 972 .

AMA Style

Mohammed Rohaim, Emily Clayton, Irem Sahin, Julianne Vilela, Manar Khalifa, Mohammad Al-Natour, Mahmoud Bayoumi, Aurore Poirier, Manoharanehru Branavan, Mukunthan Tharmakulasingam, Nouman Chaudhry, Ravinder Sodi, Amy Brown, Peter Burkhart, Wendy Hacking, Judy Botham, Joe Boyce, Hayley Wilkinson, Craig Williams, Jayde Whittingham-Dowd, Elisabeth Shaw, Matt Hodges, Lisa Butler, Michelle Bates, Roberto La Ragione, Wamadeva Balachandran, Anil Fernando, Muhammad Munir. Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (ai-LAMP) for Rapid Detection of SARS-CoV-2. Viruses. 2020; 12 (9):972.

Chicago/Turabian Style

Mohammed Rohaim; Emily Clayton; Irem Sahin; Julianne Vilela; Manar Khalifa; Mohammad Al-Natour; Mahmoud Bayoumi; Aurore Poirier; Manoharanehru Branavan; Mukunthan Tharmakulasingam; Nouman Chaudhry; Ravinder Sodi; Amy Brown; Peter Burkhart; Wendy Hacking; Judy Botham; Joe Boyce; Hayley Wilkinson; Craig Williams; Jayde Whittingham-Dowd; Elisabeth Shaw; Matt Hodges; Lisa Butler; Michelle Bates; Roberto La Ragione; Wamadeva Balachandran; Anil Fernando; Muhammad Munir. 2020. "Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (ai-LAMP) for Rapid Detection of SARS-CoV-2." Viruses 12, no. 9: 972.

Other
Published: 10 July 2020
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Until vaccines and effective therapeutics become available, the practical way to transit safely out of the current lockdown may include the implementation of an effective testing, tracing and tracking system. However, this requires a reliable and clinically validated diagnostic platform for the sensitive and specific identification of SARS-CoV-2. Here, we report on the development of a de novo, high-resolution and comparative genomics guided reverse-transcribed loop-mediated isothermal amplification (LAMP) assay. To further enhance the assay performance and to remove any subjectivity associated with operator interpretation of result, we engineered a novel hand-held smart diagnostic device. The robust diagnostic device was further furnished with automated image acquisition and processing algorithms, and the collated data was processed through artificial intelligence (AI) pipelines to further reduce the assay run time and the subjectivity of the colorimetric LAMP detection. This advanced AI algorithm-implemented LAMP (ai-LAMP) assay, targeting the RNA-dependent RNA polymerase gene, showed high analytical sensitivity and specificity for SARS-CoV-2. A total of ∼200 coronavirus disease (CoVID-19)-suspected patient samples were tested using the platform and it was shown to be reliable, highly specific and significantly more sensitive than the current gold standard qRT-PCR. The system could provide an efficient and cost-effective platform to detect SARS-CoV-2 in resource-limited laboratories.

ACS Style

Mohammed A Rohaim; Emily Clayton; Irem Sahin; Julianne Vilela; Manar E Khalifa; Mohammed Q Al-Natour; Mahmoud Bayoumi; Aurore Poirier; Manoharanehru Branavan; Mukunthan Tharmakulasingam; Nouman S Chaudhry; Ravinder Sodi; Amy Brown; Peter Burkhart; Wendy Hacking; Judy Botham; Joe Boyce; Hayley Wilkinson; Craig Williams; Michelle Bates; Roberto La Ragione; Wamadeva Balachandran; Anil Fernando; Muhammad Munir. Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (ai-LAMP) for Rapid and Reliable Detection of SARS-CoV-2. 2020, 1 .

AMA Style

Mohammed A Rohaim, Emily Clayton, Irem Sahin, Julianne Vilela, Manar E Khalifa, Mohammed Q Al-Natour, Mahmoud Bayoumi, Aurore Poirier, Manoharanehru Branavan, Mukunthan Tharmakulasingam, Nouman S Chaudhry, Ravinder Sodi, Amy Brown, Peter Burkhart, Wendy Hacking, Judy Botham, Joe Boyce, Hayley Wilkinson, Craig Williams, Michelle Bates, Roberto La Ragione, Wamadeva Balachandran, Anil Fernando, Muhammad Munir. Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (ai-LAMP) for Rapid and Reliable Detection of SARS-CoV-2. . 2020; ():1.

Chicago/Turabian Style

Mohammed A Rohaim; Emily Clayton; Irem Sahin; Julianne Vilela; Manar E Khalifa; Mohammed Q Al-Natour; Mahmoud Bayoumi; Aurore Poirier; Manoharanehru Branavan; Mukunthan Tharmakulasingam; Nouman S Chaudhry; Ravinder Sodi; Amy Brown; Peter Burkhart; Wendy Hacking; Judy Botham; Joe Boyce; Hayley Wilkinson; Craig Williams; Michelle Bates; Roberto La Ragione; Wamadeva Balachandran; Anil Fernando; Muhammad Munir. 2020. "Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (ai-LAMP) for Rapid and Reliable Detection of SARS-CoV-2." , no. : 1.