Nanomaterials have gained a rapid increase in use in a variety of applications that pertain to many aspects of human life. The majority of these innovations are centered on medical applications and a range of industrial and environmental uses ranging from electronics to environmental remediation. Despite the advantages of NPs, the knowledge of their toxicological behavior and their interactions with the cellular machinery that determines cell fate is extremely limited. This review is an attempt to summarize and increase our understanding of the mechanistic basis of nanomaterial interactions with the cellular machinery that governs cell fate and activity. We review the mechanisms of NP-induced necrosis, apoptosis and autophagy and potential implications of these pathways in nanomaterial-induced outcomes. Abbreviations: Ag, silver; CdTe, cadmium telluride; CNTs, carbon nanotubes; EC, endothelial cell; GFP, green fluorescent protein; GO, graphene oxide; GSH, glutathione; HUVECs, human umbilical vein endothelial cells; NP, nanoparticle; PEI, polyethylenimine; PVP, polyvinylpyrrolidone; QD, quantum dot; ROS, reactive oxygen species; SiO, silicon dioxide; SPIONs, superparamagnetic iron oxide nanoparticles; SWCNT, single-walled carbon nanotubes; TiO, titanium dioxide; USPION, ultra-small super paramagnetic iron oxide; ZnO, zinc oxide.

Background The coronavirus disease (COVID-19) pandemic has affected more than 200 countries and has infected more than 2,800,000 people as of April 24, 2020. It was first identified in Wuhan City in China in December 2019. Objective The aim of this study is to identify the top 15 countries with spatial mapping of the confirmed cases. A comparison was done between the identified top 15 countries for confirmed cases, deaths, and recoveries, and an advanced autoregressive integrated moving average (ARIMA) model was used for predicting the COVID-19 disease spread trajectories for the next 2 months. Methods The comparison of recent cumulative and predicted cases was done for the top 15 countries with confirmed cases, deaths, and recoveries from COVID-19. The spatial map is useful to identify the intensity of COVID-19 infections in the top 15 countries and the continents. The recent reported data for confirmed cases, deaths, and recoveries for the last 3 months was represented and compared between the top 15 infected countries. The advanced ARIMA model was used for predicting future data based on time series data. The ARIMA model provides a weight to past values and error values to correct the model prediction, so it is better than other basic regression and exponential methods. The comparison of recent cumulative and predicted cases was done for the top 15 countries with confirmed cases, deaths, and recoveries from COVID-19. Results The top 15 countries with a high number of confirmed cases were stratified to include the data in a mathematical model. The identified top 15 countries with cumulative cases, deaths, and recoveries from COVID-19 were compared. The United States, the United Kingdom, Turkey, China, and Russia saw a relatively fast spread of the disease. There was a fast recovery ratio in China, Switzerland, Germany, Iran, and Brazil, and a slow recovery ratio in the United States, the United Kingdom, the Netherlands, Russia, and Italy. There was a high death rate ratio in Italy and the United Kingdom and a lower death rate ratio in Russia, Turkey, China, and the United States. The ARIMA model was used to predict estimated confirmed cases, deaths, and recoveries for the top 15 countries from April 24 to July 7, 2020. Its value is represented with 95%, 80%, and 70% confidence interval values. The validation of the ARIMA model was done using the Akaike information criterion value; its values were about 20, 14, and 16 for cumulative confirmed cases, deaths, and recoveries of COVID-19, respectively, which represents acceptable results. Conclusions The observed predicted values showed that the confirmed cases, deaths, and recoveries will double in all the observed countries except China, Switzerland, and Germany. It was also observed that the death and recovery rates were rose faster when compared to confirmed cases over the next 2 months. The associated mortality rate will be much higher in the United States, Spain, and Italy followed by France, Germany, and the United Kingdom. The forecast analysis of the COVID-19 dynamics showed a different angle for the whole world, and it looks scarier than imagined, but recovery numbers start looking promising by July 7, 2020.

During December 2019, a novel coronavirus virus (2019-nCov) emerged in China, which posed an International Public Health Emergency in a couple of weeks, and very recently attained the position of a very high-risk category by World Health Organization (WHO). This virus was named the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) by the International Committee on Taxonomy of Viruses (ICTV), and the disease referred to as Coronavirus Disease-19 (COVID-19). Till March 8, 2020, the virus has claimed the lives of nearly 3,600 humans out a total of approximately 110,000 confirmed cases affected by this infection. The present editorial is a brief overview highlighting the most salient features and facts with regards to COVID-19, an emerging coronavirus infection, its causative virus (SARS-CoV-2), the current worldwide scenario, recent developments and currently ongoing progresses to contain and control this disease which have now spread to more than 100 countries across the globe. Of note, worldwide researchers and various health agencies are all together doing their best to halt the spread of this virus and avoid any possible pandemic situation to be faced, which otherwise would threaten the lives of millions of human beings.

Nanoparticles (NPs) are currently used in diagnosis and treatment of many human diseases, including autoimmune diseases and cancer. However, cytotoxic effects of NPs on normal cells and living organs is a severe limiting factor that hinders their use in clinic. In addition, diversity of NPs and their physico-chemical properties, including particle size, shape, surface area, dispersity and protein corona effects are considered as key factors that have a crucial impact on their safe or toxicological behaviors. Current studies on toxic effects of NPs are aimed to identify the targets and mechanisms of their side effects, with a focus on elucidating the patterns of NP transport, accumulation, degradation, and elimination, in both in vitro and in vitro models. NPs can enter the body through inhalation, skin and digestive routes. Consequently, there is a need for reliable information about effects of NPs on various organs in order to reveal their efficacy and impact on health. This review covers the existing knowledge base on the subject that hopefully prepares us better to address these challenges.

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Medicinal plants are recognized as sources of natural antioxidants that can protect from biological system oxidative stress. The present cross-sectional before/after clinical trial was carried out to investigate the antioxidant properties of the decoction of the flowers of Echium amoenum Fisch & C.A. Mey in humans. A group of 38 healthy subjects was invited to use the E. amoenum (7 mg kg−1) twice daily for 14 days. Blood samples before and after entering the study were measured for lipid peroxidation level (LPO), total antioxidant capacity (TAC) and total thiol (SH) molecules. A significant reduction of blood LPO (24.65 ± 11.3 versus 19.05 ± 9.7, P = 0.029) was observed after 14 days of E. amoenum consumption. Blood TAC (1.46 ± 0.51 versus 1.70 ± 0.36, P = 0.018) and total thiol molecules (0.49 ± 0.11 versus 0.56 ± 0.12, P = 0.001) increased after 14 days of E. amoenum consumption. In conclusion, this antioxidative stress potential of E. amoenum may be due to its bioactive antioxidant components, especially rosmarinic acid and flavonoids. In recent years the importance of oxidative stress in the pathophysiology of many human disorders has been confirmed, thus use of this plant as a dietary supplement is highly recommended.

The objective of this study was to describe the pattern of mushroom poisoning in adults admitted to the Loghman Hakim Hospital Poison Center from 1992 to 2002. All patients ≥ 12 years of age were included in the study. The frequency of mushroom poisoning with respect to age, sex, season, reason, place of residence, latent phase, clinical and laboratory findings, treatment, and outcome of patients was investigated. Of the 72 421 poisoning cases admitted to Loghman-Hakim Hospital Poison Center from 1992 to 2002, only 37 were poisoned by consumption of toxic mushrooms. As some of the patients' files were incomplete, only 25 files were included in the study. Of this number, 68% were male. The patients' age ranged between 12 and 65 years, with a mean of 31 years of age. All cases were accidental and mostly from Tehran (36%) and the northern provinces (rainy woodlands) of Iran (32%). Autumn was the most common season for poisoning with a frequency of 80%. The latent phase of poisonings was between 0.5 and 12 hours. The most frequently reported symptoms were vomiting (84%), nausea (60%), abdominal pain (60%) and diarrhea (40%). Jaundice was observed in 44% of cases, with a 50% rate of hepatic encephalopathy. A total of 66% of patients were discharged and the duration range of hospitalization was 1-12 days. In conclusion, people should be more informed of the dangers posed by wild mushrooms. Training of physicians and nurses in the accurate diagnosis and management of patients poisoned with poisonous mushrooms would improve the rate of survival.

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