Protective and modulatory effects of royal jelly used against the induced changes in silver nanoparticles on the hippocampus of male rats

Objective (s): Silver nanoparticles (NPs) have attracted considerable attention owing to their important properties, including antimicrobial and anti-oxidative stress effects. However, high concentrations of silver NPs have been reported to have toxic effects. The present study aimed to evaluate the modulatory and protective effects of royal jelly (RJ) against the harmful effects of silver NPs on hippocampal functions, such as learning and memory. Materials and Methods: This experimental study was conducted on 40 male Wistar rats. The animals were divided into four groups of 10, including the control group (no silver NPs and RJ), RJ group, silver NPs plus RJ, and silver NPs. Some functions of the hippocampus (e.g., learning and memory) were evaluated using Morris memory function tests for four consecutive days. In addition, the relative expression of TRPV1 was assessed using real-time polymerase chain reaction (RT-PCR). At the final stage, hippocampal tissues were collected for histological studies.Results: Levels of learning and memory, relative gene expression ratio of TRPV1, and the histological changes in the hippocampus were significantly different in the groups receiving silver NPs compared to the groups administered with RJ. Conclusion: According to the results, RJ may be the effective in the protection against the adverse effects of silver NPs and improve the function of the hippocampus

Advancing sustainability in the food and nutrition system: a review of artificial intelligence applications

Promoting sustainability in food and nutrition systems is essential to address the various challenges and trade-offs within the current food system. This imperative is guided by key principles and actionable steps, including enhancing productivity and efficiency, reducing waste, adopting sustainable agricultural practices, improving economic growth and livelihoods, and enhancing resilience at various levels. However, in order to change the current food consumption patterns of the world and move toward sustainable diets, as well as increase productivity in the food production chain, it is necessary to employ the findings and achievements of other sciences. These include the use of artificial intelligence-based technologies. Presented here is a narrative review of possible applications of artificial intelligence in the food production chain that could increase productivity and sustainability. In this study, the most significant roles that artificial intelligence can play in enhancing the productivity and sustainability of the food and nutrition system have been examined in terms of production, processing, distribution, and food consumption. The research revealed that artificial intelligence, a branch of computer science that uses intelligent machines to perform tasks that require human intelligence, can significantly contribute to sustainable food security. Patterns of production, transportation, supply chain, marketing, and food-related applications can all benefit from artificial intelligence. As this review of successful experiences indicates, artificial intelligence, machine learning, and big data are a boon to the goal of sustainable food security as they enable us to achieve our goals more efficiently

First report of tinea corporis caused by Trichophyton quinckeanum in Iran and its antifungal susceptibility profile

Background and Purpose: Trichophyton quinckeanum, a known zoophilicdermatophyte responsible for favus form in rodents and camels, is occasionally reported to cause human infections.Case Report: This study aimed to report a case of tinea corporis caused by T. quinckeanum that experienced annular erythematous pruritic plaque with abundantpurulent secretions. In June 2021, a 15-year-old girl with an erythematous cup shape lesion on the right wrist bigger than 3 cm in diameter was examined for tinea corporis. Since March, 2016 her family has kept several camels at home. Direct examination of skin scraping and purulent exudates revealed branching septal hyaline hyphae and arthrospore. Morphological evaluation of the recovered isolate from the culture and sequencing of ITS1-5.8S rDNA-ITS2 region resulted in the identification of T. quinckeanum. Antifungal susceptibility testing showed that this isolate had low minimum inhibitory concentration (MIC) values for luliconazole,terbinafine, and tolnaftate, but high MICs to itraconazole, fluconazole, posaconazole, miconazole, isavuconazole, ketoconazole, clotrimazole, andgriseofulvin. However, the patient was successfully treated with oral terbinafine andtopical ketoconazole.Conclusion: It can be said that T. quinckeanum is often missed or misidentified due to its morphological similarity to T. mentagrophytes/T. interdigitale or other similar species. This dermatophyte species is first reported as the cause of tinea corporis in Iran. As expected, a few months after our study, T. quinckeanum was detected in other areas of Iran, in a few case

Indoor environment assessment of special wards of educational hospitals for the detection of fungal contamination sources: A multi-center study (2019-2021)

Background and Purpose: The hospital environment was reported as a real habitat for different microorganisms, especially mold fungi. On the other hand, these opportunistic fungi were considered hospital-acquired mold infections in patients with weak immune status. Therefore, this multi-center study aimed to evaluate 23 hospitals in 18 provinces of Iran for fungal contamination sources.Materials and Methods: In total, 43 opened Petri plates and 213 surface samples were collected throughout different wards of 23 hospitals. All collected samples were inoculated into Sabouraud Dextrose Agar containing Chloramphenicol (SC), and the plates were then incubated at 27-30ºC for 7-14 days.Results: A total of 210 fungal colonies from equipment (162, 77.1%) and air (48,22.9%) were identified. The most predominant isolated genus was Aspergillus (47.5%),followed by Rhizopus (14.2%), Mucor (11.7%), and Cladosporium (9.2%). Aspergillus(39.5%), Cladosporium (16.6%), as well as Penicillium and Sterile hyphae (10.4% each), were the most isolates from the air samples. Moreover, intensive care units (38.5%) and operating rooms (21.9%) had the highest number of isolated fungal colonies. Out of 256 collected samples from equipment and air, 163 (63.7%) were positive for fungal growth.The rate of fungal contamination in instrument and air samples was 128/213 (60.1%) and 35/43 (81.2%), respectively. Among the isolated species of Aspergillus, A. flavus complex (38/96, 39.6%), A. niger complex (31/96, 32.3%), and A. fumigatus complex (15/96, 15.6%) were the commonest species.Conclusion: According to our findings, in addition to air, equipment and instrument should be considered among the significant sources of fungal contamination in the indoor environment of hospitals. Airborne fungi, Hospital, Indoor air, Equipment, Sources of fungal contamination in the indoor environment of hospitals

Transcranial electrical and magnetic stimulation (tES and TMS) for addiction medicine: A consensus paper on the present state of the science and the road ahead

There is growing interest in non-invasive brain stimulation (NIBS) as a novel treatment option for substance-use disorders (SUDs). Recent momentum stems from a foundation of preclinical neuroscience demonstrating links between neural circuits and drug consuming behavior, as well as recent FDA-approval of NIBS treatments for mental health disorders that share overlapping pathology with SUDs. As with any emerging field, enthusiasm must be tempered by reason; lessons learned from the past should be prudently applied to future therapies. Here, an international ensemble of experts provides an overview of the state of transcranial-electrical (tES) and transcranial-magnetic (TMS) stimulation applied in SUDs. This consensus paper provides a systematic literature review on published data – emphasizing the heterogeneity of methods and outcome measures while suggesting strategies to help bridge knowledge gaps. The goal of this effort is to provide the community with guidelines for best practices in tES/TMS SUD research. We hope this will accelerate the speed at which the community translates basic neuroscience into advanced neuromodulation tools for clinical practice in addiction medicine

Novel Methods for Sampling, Characterization and Analysis of Airborne Street Particles in a Health Perspective

Over the last decades, there has been much attention on air quality, especially in urban environments. A significant factor effecting the air quality in the urban environment is airborne particulate matter (PM). Long-term exposure to PM causes increased risk for heart disease, decreased lung function, exacerbation of asthma, and lung cancer. Therefore, many countries have implemented exposure limits to the concentration of ambient PM in the urban environments. The toxicity of PM is dependent on several factors such as chemical composition, shape, adsorbed materials, and particle sizes (usually divided in ultrafine, fine and coarse particles). However, the relationship between different PM properties and developing health hazards are not clear. Therefore, further studies to investigate different properties of PM may contribute to understanding the influence of PM on human health.  In the present work, different novel methods to investigate sampled airborne PM and to investigate potential health effects have been used to increase the knowledge regarding street and wear particles. In study I, a sampling plan involving collecting one filter from Tapered Element Oscillating Microbalance (TEOM) monitoring stations used for Environmental monitoring each month for 20 months were developed. Particles on the filters were extracted into a suspension. TEOM particles were then studied with respect to constituents and variables that reflect their toxicity. The constituent and toxicity was found to be spatial and seasonal dependent. As a follow-up, in study II, TEOM filters from three geographical different cities were collected once a month for a year. The variation in particle mass measured with TEOM monitor, cadmium and lead contents, as well as endotoxin levels between locations and time points over the year was studied. The correlation between studied variables and biological effect was investigated. The results show that the concentration of metals and endotoxin in TEOM particles have no relationship to particle mass, while endotoxin levels coincided with pro-inflammatory response. These studies show that results from analyzing different variables on obtained particles from TEOM filters in combination with information about the ambient particle concentration, could be helpful in the evaluation of differences in the risk of breathing air at various locations.  The dominant road traffic particle sources are wear particles from the road and tyre interface, and from vehicle brake pads. The particle concentrations are highest in cities with high traffic amounts and a high frequency of braking. There are a few cell studies that have investigated the toxicological and biological effect of these wear particles, but there is a lack of knowledge regarding their effect on tissue level. Furthermore, the knowledge about importance of rock materials in pavement is deficient. To mitigate these knowledge gaps, the effect of different wear particles from pavement and brake pad were tested using a model with isolated perfused rat lungs in study III. The wear particles from the pavement showed a significant decrease of tidal volume compared to unexposed controls. The largest effect were found with quartzite stone material. Wear particles from brakes instead showed a larger effect on released proinflammatory cytokines. The study shows that the toxic effect on lungs exposed to airborne particles can be investigated using repetitive measurements of tidal volume. Furthermore, the study shows that the choice of rock material in road pavements has the potential to affect the toxicity of road wear particles. This should be considered in environments where the concentrations and exposures are high. The brake particles showed a different effect than stone particles, indicating the need to differentiate wear particles from different sources in relation to health effects. In summary, the present work have investigated different aspects of airborne particles collected from streets as well as generated wear particles. These indicate different important aspects of the particles that may be of importance to better understand their health effects.

Resilience-oriented adaptable microgrid formation in integrated electricity-gas system with deployment of multiple energy hubs

This paper presents a flexible model for microgrid formation in the integrated electricity-gas system by optimal sizing, siting and operation of combined heat and power (CHPs) in order to improve the system operation/resilience and reduce the operational/energy cost. The resilience is defined in terms of critical load restoration following events. The upstream grid blackout, CHP outage and power line outage are modeled as the events. All the power lines (32 lines of the grid) may be subject to outage. The events are applied on the system as single event as well as consecutive events. The system is designed to be able to handle all these events. Under the events, the grid is sectionalized into several microgrids. The created microgrids are allowed to change their structure under different single and multiple disruptions. The partial and full overlap between the microgrids is modeled and studied. The results demonstrate that the end-buses of the grid are the best locations for CHPs in order to achieve the defined objectives all together. The CHPs reduce the overall cost by 11.6 % and supply all critical loads under single and multiple events. 2021 Elsevier LtdScopus2-s2.0-8510438573

The Effect of Zataria multiflora on Th1/Th2 and Th17/T Regulatory in a Mouse Model of Allergic Asthma

Asthma is a chronic inflammatory disease with no definite treatment and more research is needed to overcome this condition. The aim of this study was to investigate the effect of the extract of Zataria multiflora (Z. multiflora) as a medicinal plant on cytokine genes expression in an experimental mouse model of asthma. Adult mice were randomly divided into the following groups: control (C), untreated asthma (A), asthmatic groups treated with dexamethasone (D) and Z. multiflora extract (200, 400, and 800 μg/mL; Z1, Z2, and Z3, respectively), (for groups C, A, and D n = 5 and for groups Z1, Z2, and Z3 n = 6). For induction of the mouse model of asthma, animals were sensitized with intraperitoneal injection and inhalation of ovalbumin (OVA). The number of T helper (Th) subtype cells (using flow cytometry) and the levels of IFN-γ, FOXP3, IL-4, TGF-β, IL-17 gene expression (by real time PCR) were assessed in mice splenocytes. The observed changes in spleen cells of group A compared to group C were increased number of Th2 and Th17 cells, enhancement of gene expression of IL-4, IL-17, and TGF-β (p < 0.001 for all cases), reduction of Th1 cells and Th1/Th2 ratio (p < 0.001 for both cases) and decrease in gene expression of IFN-γ, FOXP3 and IFN-γ/IL-4 ratio (p < 0.01 for IFN-γ and p < 0.001 for other cases). The observed changes in spleen cells of treated compared to untreated A group were enhancement of Treg cells and Th1/Th2 ratio (p < 0.001 for both cases), increase in IFN-γ (p < 0.05) and FOXP3 (p < 0.001) gene expression and IFN-γ/IL-4 ratio (p < 0.01) as well as reduction of Th2 and Th17 cells (p < 0.01 to p < 0.001), decrease gene expression of IL-4, IL-17, and TGF-β (p < 0.05 to p < 0.001). The findings showed that the extract of Z. multiflora decreased pro-inflammatory cytokines in asthma (IL-4 and IL-17 and TGF-β) but increased anti-inflammatory cytokines (IFN-γ) gene expression and the number of Treg (FOXP3) in splenocytes of asthmatic mice which may indicate the specific therapeutic effect of the plant extract in allergy, autoimmunity, and infectious diseases via potentiating Th1 and suppressing Th2 and Th17 cells

Effect of Group Play Therapy based on Choice Theory on Anxiety, Depression, and Pain Symptoms in Children and Adolescents with Cancer

Background and purpose: Some problems that people face in childhood and adolescence remain throughout their lives. One of these problems is cancer. This study examined the effectiveness of group play therapy based on choice theory on anxiety, depression, and pain symptoms in children and adolescents with cancer. Materials and methods: An experimental study with intervention and control group and pre and post-tests was performed in 30 patients with cancer in Mashhad Dr.Sheikh Hospital, 2019. Demographic form, Hospital Anxiety and Depression Scale (HADS), and the Chronic Pain Grade Questionnaire (CPGQ) were completed before and after the intervention. Participants were randomly assigned into an intervention group and a control group. The intervention group, received eight hours of group play therapy based on choice theory in eight sessions. Data analysis was done in SPSS V24 applying Mixed model ANOVA. Results: The intervention was found to have a significant effect on anxiety level and pain intensity (P <0.05). Conclusion: According to this study, group play therapy based on choice theory could be of great help in reducing anxiety and pain intensity in children and adolescents with cancer

Coordination of thermal/wind energies in power-to-gas process for cost/pollution abatement considering wind energy recovery

This paper utilizes the thermal and wind energies in power to gas (P2G) process. The purpose of the proposed P2G system is to reduce the operating costs and environmental pollutions. The wind energy is used to produce Hydrogen (H2) via water electrolyzer. The Carbon dioxide (CO2) of thermal energies is also captured by Carbon Capture and Storage (CCS). The achieved H2 and CO2 are combined to make Methane (CH4) through Methanation reaction. The unit commitment denotes the optimal operation schedule of thermal generating units at each hour. The proposed model also determines the optimal size of wind energy. In the case of any event or outage, the wind energy recovery is studied by application of hybrid battery-capacitor storage system. The achieved CH4 from wind energy is sold to make profit. The wind speed volatility is included in the model and handled by stochastic programming. The proposed P2G achieves several purposes including optimal wind turbine sizing, uncertainty management, CO2 decrease and operating cost reduction. It is demonstrated that the Carbon tax can reduce the CO2 pollutions up to 8%. The high-cost and high-polluting generating systems like oil fired steam turbines are only used at on-peak hours like 17-21. These units produce about 6% of total energy but releases 11% of total CO2. The optimal capacity of wind generating system is obtained equal to 107 MW and the profit of process is estimated about 2.383 million $ in year. 2022 Taylor & Francis Group, LLC.Scopus2-s2.0-8512708564