Materials science has seen a great deal of advancement and development. The discovery of new types of materials sparked the study of their properties followed by applications ranging from separation, catalysis, optoelectronics, sensing, drug delivery and biomedicine, and many other uses in different fields of science. Metal organic frameworks (MOFs) and covalent organic frameworks (COFs) are a relatively new type of materials with high surface areas and permanent porosity that show great promise for such applications. The current study aims at presenting the recent work achieved in COFs and MOFs for biomedical applications, and to examine some challenges and future directions which the field may take. The paper herein surveys their synthesis, and their use as Drug Delivery Systems (DDS), in non-drug delivery therapeutics and for biosensing and diagnostics.
AbstractMiddle East Respiratory Syndrome (MERS), Severe Acute Respiratory Syndrome (SARS) and Coronavirus Disease 2019 (COVID-19) are caused by three distinct coronaviruses belonging to the same genus. COVID-19 and its two predecessors share many important features in their clinical presentations, and in their propensity for progression to severe disease which is marked by high rates of morbidity and mortality. However, comparison of the three viral illnesses also reveals a number of specific differences in clinical manifestations and complications, which suggest variability in the disease process. This narrative review delineates the pulmonary, cardiac, renal, gastrointestinal, hepatic, neurological, and hematologic complications associated with these three respiratory coronaviruses. It further describes the mechanisms of immune hyperactivation—particularly cytokine release syndrome—implicated in the multi-organ system injury seen in severe cases of MERS, SARS, and COVID-19.
The Food and Drug Administration (FDA) approved the first SARS-CoV-2 mRNA vaccine (Pfizer-BioNTech) in December 2020. New adverse events have emerged since these vaccines have reached market. Although no clear association between messenger ribonucleic acid (mRNA) vaccines and autoimmunity has emerged, the significance of such an association warrants further exploration. After obtaining consent, a standardized survey on baseline characteristics and other relevant variables was conducted on unvaccinated individuals who were scheduled for vaccination and had not previously contracted COVID-19. Blood samples were collected from participants prior to the first dose, prior to the second dose, and 1 month after the second dose. All collected samples were tested for antinuclear antibody (ANA) titers using indirect immunofluorescence microscopy kits, and antiphospholipid (APS) immunoglobulin M (IgM) and immunoglobulin G (IgG) levels using an enzyme-linked immunoassay (ELISA) technique. ANA titers were positive for 9 participants out of 101 (8.9%) in the first pre-vaccination draw. For the second draw, the number of participants testing positive for ANA decreased to 5 (5%). For the last draw, 6 (5.9%) participants tested positive for ANA titers. One participant tested positive for APS IgM at the first pre-vaccination draw, 2 tested positive at the second draw, and 2 at the third draw. As for APS IgG titers, all participants tested negative in the three draws. McNemar’s test for two dependent categorical outcomes was conducted on all variables and did not show a statistical significance. The McNemar test of these two composite variables (i.e., ANA/APS, first draw vs. ANA/APS, second and third draws) did not show statistical significance. The 2-sided exact significance of the McNemar test was 1.0. The Friedman test also showed no significance (
p
= 0.459). No association was found between BNT162b2 vaccine administration and changes in APS and ANA titers. The benefits of the BNT162b2 vaccine significantly outweigh any possible risk of autoimmune dysregulation considering the current evidence.
The different presentations, comorbidities, and outcomes of COVID-19 highlight the importance of early identification and proper triage of patients. High-risk patients can be divided into patients with common comorbidities and patients with special categories. Common comorbidities include, but are not limited to, Cardiovascular Disease (CVD), Diabetes Mellitus (DM), immunosuppression, underlying respiratory disease, and obesity. Certain categories of COVID-19 patients are also at increased risk, including neonates and pregnant women. In the present article, we delineate the reported risk factors for acquisition of infection, and for increased severity of the clinical disease. We also comparatively analyze those risk factors associated with COVID-19 and with the antecedent human acute respiratory syndrome-causing viruses, SARS-CoV-1 and MERS-CoV. We hypothesize that the structural similarities of the three viruses predict a similarity in the profile of high-risk patients. Several pathophysiological patterns have been detected to support this theory.
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