Analgesics Induce Alterations in the Expression of SARS-CoV-2 Entry and Arachidonic-Acid-Metabolizing Genes in the Mouse Lungs.

Paracetamol and nonsteroidal anti-inflammatory drugs are widely used in the management of respiratory viral infections. This study aimed to determine the effects of the most commonly used analgesics (paracetamol, ibuprofen, and diclofenac) on the mRNA expression of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) entry and arachidonic-acid-metabolizing genes in mouse lungs. A total of twenty eight Balb/c mice were divided into four groups and treated separately with vehicle, paracetamol, ibuprofen, and diclofenac in clinically equivalent doses for 14 days. Then, the expressions of SARS-CoV-2 entry, ACE2, TMPRSS2, and Ctsl genes, in addition to the arachidonic-acid-metabolizing cyp450, cox, and alox genes, were analyzed using real-time PCR. Paracetamol increased the expressions of TMPRSS2 and Ctsl genes by 8.5 and 5.6 folds, respectively, while ibuprofen and diclofenac significantly decreased the expression of the ACE2 gene by more than 2.5 folds. In addition, all tested drugs downregulated (p < 0.05) cox2 gene expression, and paracetamol reduced the mRNA levels of cyp4a12 and 2j5. These molecular alterations in diclofenac and ibuprofen were associated with pathohistological alterations, where both analgesics induced the infiltration of inflammatory cells and airway wall thickening. It is concluded that analgesics such as paracetamol, ibuprofen, and diclofenac alter the expression of SARS-CoV-2 entry and arachidonic-acid-metabolizing genes in mouse lungs.

Factors associated with the unwillingness of Jordanians, Palestinians and Syrians to be vaccinated against COVID-19.

BACKGROUND: The COVID-19 pandemic is expected to continue to inflect immense burdens of morbidity and mortality, not to mention the sever disruption of societies and economies worldwide. One of the major challenges to managing COVID-19 pandemic is the negative attitudes towards vaccines and the uncertainty or unwillingness to receive vaccinations. We evaluated the predictors and factors behind the negative attitudes towards COVID-19 vaccines in 3 countries in the Middle East. METHODS: A cross-sectional, self-administered survey was conducted between the 1st and the 25th of December, 2020. Representative sample of 8619 adults residing in Jordan, West Bank, and Syria, completed the survey via the Web or via telephone interview. The survey intended to assess intent to be vaccinated against COVID-19 and to identify predictors of and reasons among participants unwilling/hesitant to get vaccinated. RESULTS: The total of the 8619 participants included in this study were the ones who answered the question on the intent to be vaccinated. Overall, 32.2% of participants (n = 2772) intended to be vaccinated, 41.6% (n = 3589) didn't intend to get vaccinated, and 26.2% (n = 2258) were not sure. The main factors associated with the willingness to take the vaccine (yes responses) included females, 18-35 years old, Syrians and Jordanians, a large family size, and having received a flu vaccine last year. Reasons for vaccine hesitancy included the lack of rigorous evaluation of the vaccine by the FDA and the possible long-term health risks associated with the vaccines (the wait-and-see approach). CONCLUSION: This survey, conducted in December when the number of cases and deaths per day due to COVID-19 were at or near peak levels of the initial surge in the three regions under investigation. The survey revealed that most of survey's participants (67.8%) were unwilling/hesitant to get vaccinated against COVID-19 with the lack of trust in the approval process of the vaccine being the main concern; the two main characteristics of those participants were more than 35 years old and participants holding a Bachelor's degree or higher. Targeted and multi-pronged efforts will be needed to increase acceptance of COVID-19 vaccine in Jordan, West Bank and Syria.

Correlates of SARS-CoV-2 Variants on Deaths, Case Incidence and Case Fatality Ratio among the Continents for the Period of 1 December 2020 to 15 March 2021.

The outbreak of coronavirus disease 2019 (COVID-19), by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has quickly developed into a worldwide pandemic. Mutations in the SARS-CoV-2 genome may affect various aspects of the disease including fatality ratio. In this study, 553,518 SARS-CoV-2 genome sequences isolated from patients from continents for the period 1 December 2020 to 15 March 2021 were comprehensively analyzed and a total of 82 mutations were identified concerning the reference sequence. In addition, associations between the mutations and the case fatality ratio (CFR), cases per million and deaths per million, were examined. The mutations having the highest frequencies among different continents were Spike_D614G and NSP12_P323L. Among the identified mutations, NSP2_T153M, NSP14_I42V and Spike_L18F mutations showed a positive correlation to CFR. While the NSP13_Y541C, NSP3_T73I and NSP3_Q180H mutations demonstrated a negative correlation to CFR. The Spike_D614G and NSP12_P323L mutations showed a positive correlation to deaths per million. The NSP3_T1198K, NS8_L84S and NSP12_A97V mutations showed a significant negative correlation to deaths per million. The NSP12_P323L and Spike_D614G mutations showed a positive correlation to the number of cases per million. In contrast, NS8_L84S and NSP12_A97V mutations showed a negative correlation to the number of cases per million. In addition, among the identified clades, none showed a significant correlation to CFR. The G, GR, GV, S clades showed a significant positive correlation to deaths per million. The GR and S clades showed a positive correlation to number of cases per million. The clades having the highest frequencies among continents were G, followed by GH and GR. These findings should be taken into consideration during epidemiological surveys of the virus and vaccine development.

Psychological effects of quarantine on Syrian refugees, compared to the Jordanian populations

To ward off the outbreak of the coronavirus disease (COVID‐19) in 2019, the Jordanian government applied quarantine to the Jordanian population in addition to Syrian refugees. We evaluated the quarantine's psychological effect on people in Jordan after three weeks of quarantine. The prevalence of post‐traumatic stress disorder (PTSD) in our sample population was determined using a higher than twenty score on the Impact of Event Scale‐Revised (IES‐R). The 2380 people who received the survey online demonstrated a high prevalence of PTSD, in which PTSD showed incidence of 82.5% and 66.5 in Syrian refugees and Jordanian populations, respectively. This study also reports the trend towards more increased PTSD prevalence in Syrian refugees compared to the Jordanian population depending on age, education and the household's combined monthly income. Knowledge and awareness of quarantined people's interactions are crucial to optimizing control of infectious diseases and reducing adverse impacts on those quarantined. [ABSTRACT FROM AUTHOR] Copyright of International Migration is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)