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Your search keyword '"Asmaa M. Altamimi"' showing total 2 results
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2 results on '"Asmaa M. Altamimi"'

1. Development and Validation of Reverse Transcriptase Loop-Mediated Isothermal Amplification (RT-LAMP) as a Simple and Rapid Diagnostic Tool for SARS-CoV-2 Detection

Author

Ahmad M. Aldossary, Essam A. Tawfik, Musaad A. Altammami, Azzam A. Alquait, Rayan Y. Booq, Bandar K. Sendy, Mohammed S. Alarawi, Takashi Gojobori, Asmaa M. Altamimi, Taghreed A. Alaifan, Ahmed M. Albarrag, and Essam J. Alyamani

Subjects
Reverse Transcriptase Loop-Mediated Isothermal Amplification (RT-LAMP), colorimetric assay, COVID-19, SARS-CoV-2, ORF1a gene, N gene, Medicine (General), R5-920
Abstract

Since the COVID-19 pandemic outbreak in the world, many countries have searched for quick diagnostic tools to detect the virus. There are many ways to design diagnostic assays; however, each may have its limitations. A quick, sensitive, specific, and simple approach is essential for highly rapidly transmitted infections, such as SARS-CoV-2. This study aimed to develop a rapid and cost-effective diagnostic tool using a one-step Reverse Transcriptase Loop-Mediated Isothermal Amplification (RT-LAMP) approach. The results were observed using the naked eye within 30–60 min using turbidity or colorimetric analysis. The sensitivity, specificity, and lowest limit of detection (LoD) for SARS-CoV-2 RNA against the RT-LAMP assay were assessed. This assay was also verified and validated against commercial quantitative RT-PCR used by health authorities in Saudi Arabia. Furthermore, a quick and direct sampling from the saliva, or buccal cavity, was applied after simple modification, using proteinase K and heating at 98 °C for 5 min to avoid routine RNA extraction. This rapid single-tube diagnostic tool detected COVID-19 with an accuracy rate of 95% for both genes (ORF1a and N) and an LoD for the ORF1a and N genes as 39 and 25 copies/reaction, respectively. It can be potentially used as a high-throughput national screening for different respiratory-based infections within the Middle East region, such as the MERS virus or major zoonotic pathogens such as Mycobacterium paratuberculosis and Brucella spp., particularly in remote and rural areas where lab equipment is limited.

Published
2022
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2. Demographic Variations of MERS-CoV Infection among Suspected and Confirmed Cases: An Epidemiological Analysis of Laboratory-Based Data from Riyadh Regional Laboratory

Author

Ashraf El-Metwally, Asmaa M. Altamimi, Raghib Abu-Saris, Aref Alamri, and Taghreed A. Alaifan

Subjects
Adult, Male, 0301 basic medicine, medicine.medical_specialty, Pediatrics, Future studies, Adolescent, Article Subject, Middle East respiratory syndrome coronavirus, Saudi Arabia, Disease, medicine.disease_cause, General Biochemistry, Genetics and Molecular Biology, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Epidemiology, Prevalence, medicine, Humans, 030212 general & internal medicine, Child, Male gender, Aged, Demography, Retrospective Studies, General Immunology and Microbiology, business.industry, Infant, Mean age, General Medicine, Middle Aged, Laboratory results, Summer season, Cross-Sectional Studies, 030104 developmental biology, Child, Preschool, Epidemiological Monitoring, Middle East Respiratory Syndrome Coronavirus, Medicine, Female, Coronavirus Infections, business, Research Article
Abstract

Introduction. Middle East respiratory syndrome coronavirus was first recognized in September 2012 in Saudi Arabia. The clinical presentations of MERS and non-MERS SARI are often similar. Therefore, the identification of suspected cases that may have higher chances of being diagnosed as cases of MERS-CoV is essential. However, the real challenge is to flag these patients through some demographic markers. The nature of these markers has not previously been investigated in Saudi Arabia, and hence, this study aims to identify them. Methods. It was a surveillance system-based study, for which data from a total of 23,646 suspected patients in Riyadh and Al Qassim regions were analyzed from January 2017 until December 2017 to estimate the prevalence of MERS-CoV among suspected cases and to determine potential demographic risk factors related to the confirmation of the diagnosis. Results. Of 23,646 suspected cases, 119 (0.5%) were confirmed by laboratory results. These confirmed cases (67.2% of which were males) had a mean age of 43.23 years (SD ± 22.8). Around 42.2% of the confirmed cases were aged between 41 and 60 years and about 47% of confirmed cases had their suspected specimen tested in the summer. The study identified three significant and independent predictors for confirmation of the disease: an age between 41 and 60 years, male gender, and summer season admission. Conclusion. The study provides evidence that the MERS-CoV epidemic in the subject regions has specific characteristics that might help future plans for the prevention and management of such a contagious disease. Future studies should aim to confirm such findings in other regions of Saudi Arabia as well and explore potential preventable risk factors.

Published
2020
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