Effects of Cell Proteostasis Network on the Survival of SARS-CoV-2

The proteostasis network includes all the factors that control the function of proteins in their native state and minimize their non-functional or harmful reactions. The molecular chaperones, the important mediator in the proteostasis network can be considered as any protein that contributes to proper folding and assembly of other macromolecules, through maturating of unfolded or partially folded macromolecules, refolding of stress-denatured proteins, and modifying oligomeric assembly, otherwise it leads to their proteolytic degradation. Viruses that use the hosts� gene expression tools and protein synthesis apparatus to survive and replicate, are obviously protected by such a host chaperone system. This means that many viruses use members of the hosts� chaperoning system to infect the target cells, replicate, and spread. During viral infection, increase in endoplasmic reticulum (ER) stress due to high expression of viral proteins enhances the level of heat shock proteins (HSPs) and induces cell apoptosis or necrosis. Indeed, evidence suggests that ER stress and the induction of unfolded protein response (UPR) may be a major aspect of the corona-host virus interaction. In addition, several clinical reports have confirmed the autoimmune phenomena in COVID-19-patients, and a strong association between this autoimmunity and severe SARS-CoV-2 infection. Part of such autoimmunity is due to shared epitopes among the virus and host. This article reviews the proteostasis network and its relationship to the immune system in SARS-CoV-2 infection. © 2021, The Author(s)

Modern microwave methods in solid state inorganic materials chemistry: from fundamentals to manufacturing

No abstract available

Supply and protected different population of Litopenaeus vannamei subadult zero foster (F0) from difference provinces Iran

Nowadays, Litopenaeus vannamei are the most important species of farmed penaeidae shrimp in the world that is rapidly replacing native species in areas aquaculture. Due to demand increase for this species culture, shrimp displacement to different areas may be associated with some potential pathogens transferred to new areas farmed. Therefore, in this study were prepared bi-osecurity conditions for specific disease-free production of L. vannamei. Thereafter, three populations (Molokaei, High health and mix of Molokaei and High health) of the shrimp various reserves were detected base on origin and genetic indexes such as: observed heterozygosity, expected heterozygosity, allele frequency, coefficient inbreeding, genetic differentiation, genetic distance and genetic identity. On the other hand, epidemiological studies indicate non pathogens (viral, bacterial, fungal and parasitic) recognition of different populations selected in the quarantine salon. The bioassay results showed that the average weight and length of the populations of High health and Mix significantly greater than was a population of Molokaei. The shrimp populations were stocked in fiberglass tank (five ton) and were kept separated in the quarantine salon. During maintenance shrimp of populations in the quarantine salon were evaluated living and non-living pathogens with PCR, microbiology and biochemical methods. There is not any pathogens detection from shrimp populations stocking in the quarantine salon, so the shrimps were carried over to pond for broodstock culture of specific pathogenic free

Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021

Background: Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050. Methods: Using forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects models with SDI as the main covariate, and YLDs were computed from the resulting prevalence forecasts and average disability weights from GBD. Alternative future scenarios were constructed by replacing appropriate reference trajectories for risk factors with hypothetical trajectories of gradual elimination of risk factor exposure from current levels to 2050. The scenarios were constructed from various sets of risk factors: environmental risks (Safer Environment scenario), risks associated with communicable, maternal, neonatal, and nutritional diseases (CMNNs; Improved Childhood Nutrition and Vaccination scenario), risks associated with major non-communicable diseases (NCDs; Improved Behavioural and Metabolic Risks scenario), and the combined effects of these three scenarios. Using the Shared Socioeconomic Pathways climate scenarios SSP2-4.5 as reference and SSP1-1.9 as an optimistic alternative in the Safer Environment scenario, we accounted for climate change impact on health by using the most recent Intergovernmental Panel on Climate Change temperature forecasts and published trajectories of ambient air pollution for the same two scenarios. Life expectancy and healthy life expectancy were computed using standard methods. The forecasting framework includes computing the age-sex-specific future population for each location and separately for each scenario. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline. Findings: In the reference scenario forecast, global and super-regional life expectancy increased from 2022 to 2050, but improvement was at a slower pace than in the three decades preceding the COVID-19 pandemic (beginning in 2020). Gains in future life expectancy were forecasted to be greatest in super-regions with comparatively low life expectancies (such as sub-Saharan Africa) compared with super-regions with higher life expectancies (such as the high-income super-region), leading to a trend towards convergence in life expectancy across locations between now and 2050. At the super-region level, forecasted healthy life expectancy patterns were similar to those of life expectancies. Forecasts for the reference scenario found that health will improve in the coming decades, with all-cause age-standardised DALY rates decreasing in every GBD super-region. The total DALY burden measured in counts, however, will increase in every super-region, largely a function of population ageing and growth. We also forecasted that both DALY counts and age-standardised DALY rates will continue to shift from CMNNs to NCDs, with the most pronounced shifts occurring in sub-Saharan Africa (60·1% [95% UI 56·8–63·1] of DALYs were from CMNNs in 2022 compared with 35·8% [31·0–45·0] in 2050) and south Asia (31·7% [29·2–34·1] to 15·5% [13·7–17·5]). This shift is reflected in the leading global causes of DALYs, with the top four causes in 2050 being ischaemic heart disease, stroke, diabetes, and chronic obstructive pulmonary disease, compared with 2022, with ischaemic heart disease, neonatal disorders, stroke, and lower respiratory infections at the top. The global proportion of DALYs due to YLDs likewise increased from 33·8% (27·4–40·3) to 41·1% (33·9–48·1) from 2022 to 2050, demonstrating an important shift in overall disease burden towards morbidity and away from premature death. The largest shift of this kind was forecasted for sub-Saharan Africa, from 20·1% (15·6–25·3) of DALYs due to YLDs in 2022 to 35·6% (26·5–43·0) in 2050. In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5–17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7–11·3) in the high-income super-region to 23·9% (20·7–27·3) in north Africa and the Middle East. The Safer Environment scenario had its largest decrease in sub-Saharan Africa (5·2% [3·5–6·8]), the Improved Behavioural and Metabolic Risks scenario in north Africa and the Middle East (23·2% [20·2–26·5]), and the Improved Nutrition and Vaccination scenario in sub-Saharan Africa (2·0% [–0·6 to 3·6]). Interpretation: Globally, life expectancy and age-standardised disease burden were forecasted to improve between 2022 and 2050, with the majority of the burden continuing to shift from CMNNs to NCDs. That said, continued progress on reducing the CMNN disease burden will be dependent on maintaining investment in and policy emphasis on CMNN disease prevention and treatment. Mostly due to growth and ageing of populations, the number of deaths and DALYs due to all causes combined will generally increase. By constructing alternative future scenarios wherein certain risk exposures are eliminated by 2050, we have shown that opportunities exist to substantially improve health outcomes in the future through concerted efforts to prevent exposure to well established risk factors and to expand access to key health interventions

Numbers of Follicles, Pregnancy, Expression of Reactive Oxygen Species (ROS), and Ovarian Genes in Sheep Treated with Vitamin E, L-Carnitine, and Fish Oil

This study was performed to evaluate the effects of vitamin E, L-carnitine, and fish oil on the numbers of follicles, pregnancy, Reactive Oxygen Species (ROS) expression, and expression of several ovarian genes in sheep. For this purpose, 256 sheep were randomly divided into eight experimental groups. They were given a diet supplemented with vitamin E, L-carnitine, and fish oil alone and in combination. FBS, estradiol levels, size of the follicles, and pregnancy rate were observed. Expressions of Superoxide Dismutase 1 (SOD1), Superoxide Dismutase 2 (SOD2), Transforming Growth Factor –β (TGF-β), and Peroxisome Proliferator-Activated Gamma Receptor (PPAR-γ) genes were measured using Reverse Transcription-Polymerase Chain Reaction (RT-PCR), and ROS was measured using fluorescence microscope. At the time of mating and pregnancy, the highest number of follicles and pregnant ewes were observed in the groups supplemented with fish oil and antioxidants (p<0.01). The lowest numbers of follicles and pregnancy was observed in the group supplemented with fish oil alone (p<0.01). The highest expressions of SOD1 and TGF-β genes (p<0.01) as well as SOD2 and PPAR-γ (p<0.05) were observed in the group of concomitant use of fish oil with antioxidants. The highest amount of ROS was found in fish oil group (p<0.01), and the lowest was found in the groups supplemented with fish oil and antioxidant (p<0.01). The use of fish oil along with vitamin E and L-carnitine improved follicle function and increased pregnancy rate by reducing ROS in ewes’ ovaries as well as increasing the expression of SOD1, SOD2, TGF-βRI, and PPAR-γ genes. The use of fish oil along with antioxidants increases follicles and improves fertility in sheep

Performance, Immune Responses, and Blood Biochemistry of Broiler Chickens Fed with Plant Growth Compound

Today, medicinal plants and prebiotics are known as growth stimulants and can have beneficial effects on health and performance. This study was conducted to evaluate the effects of plant growth promoters and a prebiotic (lactose) on growth performance, immune responses, and blood biochemical parameters in broiler chicks. Seven hundred and fifty Arian broiler chicks (mixed-sex) were allocated to six treatments and five replicates at one day of age. Three plant-based growth promoters (ASRI1, ASRI2, and commercial supplement (Optifeed)) and two dietary prebiotic levels (0 and 1 kg/ton) were evaluated in a completely randomized design with 3×2 factorial arrangements. The results showed that growth performance and humoral and cellular immunities did not differ among experimental treatments; therefore, the herbal compounds ASRI1 and ASRI2 can be used as growth promoters equivalent to the commercial products currently used in the broiler chicken industry. An interaction effect of growth promoter × prebiotic was detected for concentrations of calcium in the serum. Serum calcium concentrations of birds fed ASRI2 and 1 kg/ton prebiotic were greater than those of chickens receiving the commercial growth promoter. Serum triglycerides and VLDL-C concentrations were significantly lower in birds treated with ASRI1 growth promoter compared to those fed with a commercial growth promoter. In conclusion, there was no difference between ASRI1, ASRI2, and Optifeed growth promoters in their effectiveness as promoters of growth and immunity of broiler chicks

The Role of Nisin, Monolaurin, and EDTA in Antibacterial Effect of Rosmarinus Officinalis L. and Cinnamomum Zeylanicum Blume Essential Oils on Foodborne Pathogens

In this study, the role of nisin, monolaurin and EDTA in strengthening antibacterial effect of the Rosmarinus officinalis L. and Cinnamomum zeylanicum Blume essential oils were tested against foodborne pathogens including Escherichia coli, Salmonella typhimurium, Listeria monocytogenes and Staphylococcus aureus. The essential oils extracted by hydrodistillation and analyzed by gas chromatography-mass spectrometry (CG-MS). For determining antimicrobial effects of the essential oils in corporation with nisin, monolaurin and EDTA, agar disk diffusion and broth micro dilution susceptibility tests were used. According to GC-MS analyses, 15 and 14 components were identified for rosemary and cinnamon essential oils that representing 95.1 % and 94.25 % of total components, respectively. In the case of rosemary essential oil, 1,8-cineole (24.3 %), α-pinene (22.8 %), and camphor (12.1 %) were determined as the main volatiles. On the other hand, cinnamaldehyde (79.74 %) was determined as the major compound for cinnamon essential oil. According to antimicrobial activity tests, L. monocytogenes was found as the most sensitive microorganism. It is followed by S. aureus, E. coli, and S. typhimurium, respectively. In general, EDTA made the weakest effect on the MIC and MBC values of the essential oils. On the other hand, nisin made the most promising effect on the MIC and MBC values of the essential oils. In conclusion, using monolaurin, nisin and EDTA together with essential oils led to increases the antibacterial effect of essential oils against both Gram positive and Gram negative tested bacteria. © 2016 Har Krishan Bhalla & Sons

Removal of Toluene from Air Using a Cycled Storage-Discharge (CSD) Plasma Catalytic Process

Abstract: Cycled storage-discharge (CSD) air-plasma catalytic process was used for removing toluene from simulated 40 humid air. The different catalytic activities of HZSM-5 and Ag/HZSM-5 catalysts were entered in a dielectric barrier discharge reactor in two-layer form. The experiments were conducted with different filling layout of HZSM-5 and Ag/HZSM5. It is found that the catalysts filling layout, wt of Ag load on the Ag/HZSM5 layer, the amount of stored toluene at the storage phase, and the discharge gas flow rate were the main factors that could affect the performance of plasma catalytic oxidation of the stored toluene. The performance was maximized when the catalyst-filling layout was 0.5 g HZSM5, followed 0.5 g 5.2 wt g/HZSM5, and the discharge air flow rate was 1 l/min. When the stored toluene in the storage phase was 77 of toluene adsorbing breakthrough capacity of the first layer catalyst, close to 100 of the stored toluene was oxidized, and so the carbon balance and the CO 2 selectivity reached to ~ 100 with no significant O 3 and NO x observed in the outlet. By optimizing the storage and discharge period and discharge gas flow, the electrical energy yield and the performance of toluene oxidation were maximized and the energy consumption was minimized. © 2018, Springer Science+Business Media, LLC, part of Springer Nature