IridiumCatalyzed Hydroarylation by way of CH Connect Account activation

N-Acetylcysteine (NAC) has been proposed and used to treat coronavirus disease 2019 (COVID-19). By reviewing the existing pathological studies of COVID-19, it was found that abundant mucus secretion, formation of a hyaline membrane (supportive of acute respiratory distress syndrome), and interstitial fibrous exudation may be important characteristics of COVID-19 and may be pathological targets of drug therapy. In addition, multiple extrapulmonary organ injuries in COVID-19 may be associated with cytokine storm. NAC is an important antioxidant and anti-inflammatory drug. NAC has been demonstrated to have mucolytic effects in bronchitis, relieve respiratory failure in acute respiratory distress syndrome, and inhibit fibrous exudation in interstitial lung disease in clinical studies. These findings suggest that NAC may have a therapeutic effect on the pathological targets of COVID-19. Furthermore, NAC decreases TNF-α, IL-1β, IL-6, IL-8, IL-10, and IL-17 serum levels in patients with sepsis, severe burns, acute liver failure, or peritoneal dialysis and may also reduce cytokine storm in COVID-19. The antiviral effect of NAC on other respiratory viruses may also benefit COVID-19 patients. Summarizing the potential mechanisms of NAC in treating COVID-19 suggests that the role of NAC in COVID-19 treatment is worthy of further research.Prostate cancer is the fifth cause of tumor-related deaths in man worldwide. Due to its long latency period, this pathology represents an ideal type of disease for chemopreventive studies. Among the drugs considered thus far for the treatment of prostate cancer, the natural compound resveratrol emerged as very promising. Selleckchem CDK inhibitor Resveratrol is a widely recognized as chemopreventive agent and was shown to potentiate the antitumor activity of conventional chemotherapeutics in several tumors, including prostate cancer. Here we overview the literature of the last five years and summarize the recent achievements of resveratrol and its derivatives as antimetastatic agents in prostate cancer. Moreover, drug combination studies as well as nanomedicine approaches proposed to improve resveratrol activity and to overcome delivery drawbacks are addressed. The last part of the review discusses the clinical trials containing resveratrol ongoing on cancer patients.
COVID-19 has brought the world to its knees and there is an urgent need for new strategies to identify molecules capable of fighting the pandemic. During the last few decades NMR (Nuclear Magnetic Resonance) spectroscopy has emerged as an intriguing structural biology instrument in the antiviral drug discovery field.
The review highlights how a variety of NMR-based tools can be employed to better understand viral machineries, develop anti-viral agents and set-up diagnostic and therapeutic routes.
Works summarized herein were searched through PubMed database and the Web.
The review focuses on a subset of human viruses that have been largely studied through NMR techniques. Indeed, NMR solid- or solution-state methodologies allow to gain structural information on viral proteins and viral genomes either in isolation or bound to diverse binding partners. NMR data can be employed to set up structure-based approaches to design efficient antiviral agents inhibiting crucial steps of viral life cycle. In addition, NMR-based metabolomics analyses of biofluids from virus-infected patients let identify metabolites biomarkers of the disease and follow changes in metabolic profiles associated with antiviral therapy thus paving the way for novel diagnostic and therapeutic approaches.
Considering the NMR-based work conducted on different viruses, we believe that in the close future much more NMR efforts will be devoted to discover novel anti SARS-CoV-2 agents.
Considering the NMR-based work conducted on different viruses, we believe that in the close future much more NMR efforts will be devoted to discover novel anti SARS-CoV-2 agents.Monte Carlo algorithms have a growing impact on nuclear medicine reconstruction processes. One of the main limitations of myocardial perfusion imaging (MPI) is the effective mitigation of the scattering component, which is particularly challenging in Single Photon Emission Computed Tomography (SPECT). In SPECT, no timing information can be retrieved to locate the primary source photons. Monte Carlo methods allow an event-by-event simulation of the scattering kinematics, which can be incorporated into a model of the imaging system response. This approach was adopted since the late Nineties by several authors, and recently took advantage of the increased computational power made available by high-performance CPUs and GPUs. These recent developments enable a fast image reconstruction with an improved image quality, compared to deterministic approaches. Deterministic approaches are based on energy-windowing of the detector response, and on the cumulative estimate and subtraction of the scattering component. In this paper, we review the main strategies and algorithms to correct for the scattering effect in SPECT and focus on Monte Carlo developments, which nowadays allow the three-dimensional reconstruction of SPECT cardiac images in a few seconds.Loneliness has a significant impact on the health and well-being of older people, including an increased risk of mortality. This cross-sectional study explored possible risk and protective factors that can help explain loneliness and emotional and social loneliness in a sample of community-dwelling older adults (N = 477). The survey incorporated a standardized scale of loneliness and items to assess type and quality of contact with others, community support, social isolation, physical health, cognitive health, and functional ability. Bivariate and multivariate analyses explored the factors that contributed to loneliness, emotional loneliness, and social loneliness. Results indicated overall quality of contact with others, use of phone contact, and social isolation was significant in all three regressions; other significant variables were different for each analysis. The findings support social work and public health recommendations for addressing loneliness, particularly within the current climate of "social distancing" under the COVID-19 pandemic.