Mechanism and Kinetics of The Degradation of Nitazoxanide and Hydroxychloroquine Drugs by Hydroxyl Radicals: Theoretical Approach to Ecotoxicity

The efforts of contrasting the effects caused by the Covid-19 (coronavirus disease 2019) pandemic increased the disposal of active pharmaceutical ingredients. This paper reports the mechanisms and kinetics of the degradation in aqueous environments induced by 'OH of two drugs, among those most widely probed at the outbreak of coronavirus, nitazoxanide and hydroxychloroquine. The investigation exploits quantum chemistry techniques and a reaction rate theory combined with diffusion-controlled processes and quantum mechanical tunneling. The reaction rate constants are obtained in an environmentally relevant temperature range. The results show that (i) the deacetylation of nitazoxanide with formation of tizoxanide is kinetically the most favorable channel, in agreement with experimental work;(ii) for hydroxychloroquine, the present theoretical calculations show that the most favorable channel is the addition of 'OH at the aromatic ring. The half-life time degradation products are for both cases in the range between 12 to 138 days. Both drugs presented toxicities between harmful and toxic as obtained by computational toxicology calculations: The toxicity is also calculated for the degradation products: (i) in the nitazoxanide degradation process, tizoxanide was characterized as more toxic, while (ii) in the case of hydroxychloroquine, the major degradation product showed a decrease in the toxicity.

Understanding COVID-19 from an exotic honey bee-disease perspective

This article compares the development of the highly infectious COVID-19 disease in humans with infections or infestations in honey bees. The importance of knowledge on the exotic nature of COVID-19 and each of its variants in providing a useful insight as to how it would be expected to develop, and in particular the expected reduction in its virulence over time, is also discussed.

A Comprehensive Review on the Medicinal Benefits of Honey with an Emphasis on Unani Medicine

Background: Honey has been used medicinally in folk medicine since the dawn of civili-zation. It is a necessary component of medicine and food in a wide variety of cultures. It has been used in Unani Medicine for centuries to treat a variety of ailments. Objective(s): This review article aims to explore the medicinal characteristics of honey in view of Unani and modern concepts, highlight its potential in the treatment of the ailments stated in Unani medical literature, and also explore the relevant evidence-based phytochemistry, pharmacological, and clinical data. Method(s): The authors searched classical texts exhaustively for information on the temperament (Mizaj), pharmacological activities, mechanism of action, and therapeutic benefits of honey. Addition-ally, a comprehensive search of internet databases was conducted to compile all available information on the physicochemical, phytochemical, and pharmacological properties of this compound. Result(s): Evidence suggests that honey contains about 180 different types of various compounds, including carbohydrates, proteins, enzymes, flavonoids, and other chemical substances. In Unani classical literature, it exerts important pharmacological actions besides its immense nutritional signifi-cance. Unani physicians advocated many tested/experimented prescriptions and formulations, which still have their relevance in the amelioration of various diseases. Conclusion(s): This analysis concludes that honey has been successfully utilized in Unani medicine for centuries to treat a variety of maladies and is a potential natural source of remedy for a variety of medical disorders. Future research on honey should include a combination of Unani and modern principles.Copyright © 2023 Bentham Science Publishers.

GLOBAL CAMPAIGNS TOWARDS LOCAL MANUFACTURE OF ANTI-HIV/AIDS DRUGS IN CONTINUOUS FLOW SYSTEMS

Drug shortage and inaccessibility, stemming from exorbitant pharmaceutical drug prices, is only but a fraction of the many factors affecting global health. Most recently, the world was reminded of the role of pandemics in fast tracking the above-mentioned problem. A potentially sustainable solution would entail establishing cost effective and efficient local drug manufacture capacity in different regions. Using the HIV/AIDS epidemic as a case example, efforts by various research groups towards this goal are presented herein. © 2022 TeknoScienze. All rights reserved.

LOCAL DRUG MANUFACTURING IN AFRICA: LESSONS LEARNED FROM THE COVID-19 PANDEMIC

Economic, social and political stresses have been witnessed all over the world during the COVID-19 pandemic. In particular, drug shortages and inaccessibility is one of the many results of disruption of supply chains due to shutdown of manufacturing activity in China, as well as export restrictions and bans by other countries. Herein, a brief synopsis of the knock-on effect and pre- and post COVID-19 roadmaps and measures undertaken towards achieving local drug manufacture in Africa is provided. © 2022 TeknoScienze. All rights reserved.

Crude Extracts of Talaromyces Strains (Ascomycota) Affect Honey Bee (Apis mellifera) Resistance to Chronic Bee Paralysis Virus.

Viruses contribute significantly to the global decline of honey bee populations. One way to limit the impact of such viruses is the introduction of natural antiviral compounds from fungi as a component of honey bee diets. Therefore, we examined the effect of crude organic extracts from seven strains of the fungal genus Talaromyces in honey bee diets under laboratory conditions. The strains were isolated from bee bread prepared by honey bees infected with chronic bee paralysis virus (CBPV). The antiviral effect of the extracts was also quantified in vitro using mammalian cells as a model system. We found that three extracts (from strains B13, B18 and B30) mitigated CBPV infections and increased the survival rate of bees, whereas other extracts had no effect (B11 and B49) or were independently toxic (B69 and B195). Extract B18 inhibited the replication of feline calicivirus and feline coronavirus (FCoV) in mammalian cells, whereas extracts B18 and B195 reduced the infectivity of FCoV by ~90% and 99%, respectively. Our results show that nonpathogenic fungi (and their products in food stores) offer an underexplored source of compounds that promote disease resistance in honey bees.

Surveillance of Viruses in Varroa destructor Samples Collected from Honey Bee Colonies in Ontario, Canada, between 2015 and 2019

Varroa destructor parasitism is associated with extreme honey bee (Apis mellifera) colony losses in the northern hemisphere. Varroa destructor causes severe damage, including a decrease in bee longevity and immunosuppression, and acts as a vector for viruses, such as Deformed wing virus (DWV-A). The surveillance of viral pathogens in V. destructor samples is essential to assess risks of emerging virulent viral variants (such as VDV-1) and evaluate their impact on honey bee health. Thus, the objective of this study was to identify viral pathogens in V. destructor and honey bee samples collected in Ontario, Canada, from 2015 to 2019 with the use of metagenomics and real time PCR (qPCR). DWV-A and VDV-1 had the highest abundance of viral transcripts (7.5 log2 and 5.72 log2, respectively). Acute bee paralysis virus (ABPV) and Bee macula virus were also identified. Viral identification and quantification in V. destructor samples using metagenomics will facilitate the surveillance of viral pathogens. This surveillance technique will assist diagnostic laboratories in delivering timely and accurate diagnoses and risk assessments, which in turn will help honey bee producers to take adequate measures to mitigate the damage caused by V. destructor and associated viruses. [ FROM AUTHOR]

Does sending honey bee, Apis mellifera (Hymenoptera: Apidae), colonies to lowbush blueberry, Vaccinium angustifolium (Ericaceae), for pollination increase Nosema spp. (Nosematidae) spore loads?

In the Canadian Maritimes, many beekeepers rent honey bee, Apis mellifera Linnaeus (Hymenoptera: Apidae), hives to growers of lowbush blueberry, Vaccinium angustifolium (Ericaceae), for pollination services. Anecdotally, hives have less vigour following pollination, potentially due to higher Nosema spp. (Nosematidae) spore loads, the microsporidian causing nosemosis. We undertook a study to determine whether sending honey bee hives to lowbush blueberry fields for pollination (blueberry hives) results in higher Nosema spp. spore loads relative to hives remaining in apiaries (home hives). Nosema spp. spore loads were quantified using light microscopy. Nosema apis and Nosema ceranae were differentiated using polymerase chain reaction and sequencing. Nosema spp. spore loads were greatest in April and May and declined to low levels from June to September. Ninety-eight per cent of Nosema detections were positive for N. ceranae. In April, blueberry hives had a lower spore load than home hives did;however, in June, spore loads were significantly higher in blueberry hives. No other differences in Nosema spp. spore loads were observed between hive types. We conclude that Nosema ceranae is the dominant Nosema species in the Canadian Maritimes and that using hives for lowbush blueberry pollination does not appear to influence long-term Nosema spp. spore loads.

COVIBOT: A Smart Chatbot for Assistance and E-Awareness during COVID-19 Pandemic

The coronavirus pandemic has spread over the past two years in our highly connected and information-dense society. Nonetheless, disseminating accurate and up-to-date information on the spread of this pandemic remains a challenge. In this context, opting for a solution based on conversational artificial intelligence, also known under the name of the chatbot, is proving to be an unavoidable solution, especially since it has already shown its effectiveness in fighting the coronavirus crisis in several countries. This work proposes to design and implement a smart chatbot on the theme of COVID-19, called COVIBOT, which will be useful in the context of Saudi Arabia. COVIBOT is a generative-based contextual chatbot, which is built using machine learning APIs that are offered by the cloud-based Azure Cognitive Services. Two versions of COVIBOT are offered: English and Arabic versions. Use cases of COVIBOT are tested and validated using a scenario-based approach. © 2022 IEEE.

Can beekeeping improve mental wellbeing during times of crisis?

This paper examined how the COVID-19 pandemic has affected those interested in honey bees and the outdoors. It was investigated whether being outdoors and/or beekeeping has been a benefit to mental health using personal stories, examples from research, beekeeping groups, communities and the health service. The increase in online beekeeping teaching resources has helped bring knowledge about bees to perhaps a wider audience than previously, but training to become a beekeeper does need a certain hands-on element with beehives in an apiary setting. This is not just in order to gain confidence in handling bees, but also to learn from other beekeepers, and to bond in a social context. Although it is clear from the personal contributions to this article that beekeeping has helped immensely during the time of the COVID-19 crisis, more scientific research is needed to quantify the actual wellbeing effects. However, watching bees feeding on the flowers in gardens and parks is without doubt a pleasurable activity, and can be done by everyone.

Quarterly report of investigations of suspected exotic diseases: July to September 2021

Exotic pest and disease investigations are managed and reported by the Ministry for Primary Industries' (MPI's) Diagnostic and Surveillance Directorate. This article presents a summary of investigations of suspect exotic and emerging pests and diseases in New Zealand during the period from July to September 2021.

Effects of Covid-19 pandemic lockdown and environmental pollution assessment in Campania region (Italy) through the analysis of heavy metals in honeybees.

The Covid-19 outbreak had a critical impact on a massive amount of human activities as well as the global health system. On the other hand, the lockdown and related suspension of working activities reduced pollution emissions. The use of biomonitoring is an efficient and quite recent tool to assess environmental pollution through the analysis of a proper bioindicator, such as bees. This study set out to ascertain the impact of the Covid-19 pandemic lockdown on the environmental occurrence of eleven heavy metals in the Campania region (Italy) by analyzing bees and bee products. A further aim of this study was the assessment of the Honeybee Contamination Index (HCI) in three different areas of the Campania region and its comparison with other Italian areas to depict the current environmental pollutants levels of heavy metals. The results showed that the levels of heavy metals bioaccumulated by bees during the pandemic lockdown (T1) were statistically lower than the sampling times after Covid-19 restrictions and the resumption of some or all activities (T2 and T3). A comparable trend was observed in wax and pollen. However, bee, pollen, and wax showed higher levels of Cd and Hg in T1 than T2 and T3. The analysis of the HCI showed a low contamination level of the sampling sites for Cd and Pb, and an intermediate-high level as regards Ni and Cr. The biomonitoring study highlighted a decrease of heavy metals in the environmental compartments due to the intense pandemic restrictions. Therefore, Apis mellifera and other bee products remain a reliable and alternative tool for environmental pollution assessment.

56th Congress of Veterinary Epidemiology

This proceedings contains 10 papers on risk management policy of the ministry of health, labour and welfare for ensuring safe wild game meat, prospective of application of food safety risk assessment for game meat, coronavirus disease (COVID-19) for animal owners, shelter medicine and COVID-19, the characteristics of bats as natural reservoirs of the novel coronavirus, chalkbrood in honey bees and its control measures, the economic impact of classical swine fever in Japan, benzalkonium chloride resistance in Listeria monocytogenes isolated in Japan, COVID-19 outbreak and epidemiological research in Japan and the amendment of the act on domestic animal infectious diseases control.

Sentiment Analysis of Social Survey Data for Local City Councils

Big data analytics can be used by smart cities to improve their citizens’ liveability, health, and wellbeing. Social surveys and also social media can be employed to engage with their communities, and these can require sophisticated analysis techniques. This research was focused on carrying out a sentiment analysis from social surveys. Data analysis techniques using RStudio and Python were applied to several open-source datasets, which included the 2018 Social Indicators Survey dataset published by the City of Melbourne (CoM) and the Casey Next short survey 2016 dataset published by the City of Casey (CoC). The qualitative nature of the CoC dataset responses could produce rich insights using sentiment analysis, unlike the quantitative CoM dataset. RStudio analysis created word cloud visualizations and bar charts for sentiment values. These were then used to inform social media analysis via the Twitter application programming interface. The R codes were all integrated within a Shiny application to create a set of user-friendly interactive web apps that generate sentiment analysis both from the historic survey data and more immediately from the Twitter feeds. The web apps were embedded within a website that provides a customisable solution to estimate sentiment for key issues. Global sentiment was also compared between the social media approach and the 2016 survey dataset analysis and showed some correlation, although there are caveats on the use of social media for sentiment analysis. Further refinement of the methodology is required to improve the social media app and to calibrate it against analysis of recent survey data.

Chemical composition, biological activity and factors influencing the quality of Algerian bee-honey (Apis mellifera)

For centuries, honey, the main bee-hive product, has been widely used as an effective therapeutic agent against several health disorders, in addition to its extensive uses as a natural-healthy and energetic food. Further, bee-honey is a beneficial substance when we explore the many uses in medicine, including bacteria-and-virus killing such as Covid-19, body-protecting chemicals, anti-inflammatory, antioxidant, and anti-cancer activities. Honey is characterized by complex and variable chemical compositions depending on several fac-tors;botanical origin, climatic condition, bee health, and other stress factors, in particular, uncontrolled use of pesticides and adulteration in this product. Additionally, honey contains an important number of bioactive compounds (carbohydrates, lipids, amino acids, proteins, vitamins, and minerals) whose main roles are involved in medical therapies and wound healing. Thus, this review summarizes the literature about the chemical composition, biological activity, and factors affecting bee-honey production and quality.

5th Congress of beekeeping and bee products with international participation, Tuzla, Bosnia and Herzegovina, November 2020

These proceedings contain a number of papers discussing current topics, from hives and beekeeping conditions, through the latest knowledge on good practice in pest control in agriculture through the quality of honey, its presence on the world market and control of counterfeiting to the health effects of honey and other bee products. Topics on COVID-19 are included from the aspect of the impact on beekeeping and the potential application of bee products in relieving the symptoms of the disease.

Quality assessment of honey in three different geographical areas from Republic of Moldova

One of the empirical and image products of the Republic of Moldova is bee honey. Its assortment is due to the variety of landforms, as well as the diversity of flora specific to geographical regions. During the Covid-19 pandemic, domestic consumers had limited access to bee honey. This was caused by the restrictions imposed in order to organize fairs and agricultural markets which are one of the main sources for the purchase of bee products in the Republic of Moldova. At the same time, the analysis of trademarks in supermarkets highlighted the preferences of honey consumption as follows: polyfloral honey-28.57%, lime honey-20.40% and acacia honey-14.28%. In order to evaluate the quality of honey from small producers and highlight the specific characteristics of geographical areas, 60 samples were analyzed that included 3 types of honey: polyflora, sunflower and linden collected from 3 different geographic areas: Soroca area (North), area Ungheni (Center), Stefan Voda area (South). Honey samples were declared harvest of 2020. They were analyzed physico-chemically using methods provided by national and EU standards. The results obtained from the analysis of pollen in honey confirm the botanical origin declared by beekeepers and allowed to highlight the types of pollen specific to each area. Following the determination of qualitative indices: reaction with ethyl alcohol, with resorcinol;insoluble matter, cereal flour, gelatin and starch, it was found that the most inconsistencies were found in linden honey. Some indicators were close to the maximum permissible values specified in regulatory documents. The water content found in the honey samples was quite varied, and ranged from 16.05% +or- 0.11% to 19.89% +or- 0.13%, but these samples were within the limits of the standards. Total acidity ranged from 6.19 +or- 0.13 to 27.20 +or- 0.03 which falls within the established norms (up to 50.00 cm3 NaOH solution in (milliequivalents) per 100 g of honey). According to the SIE Lab space, all samples have a yellowish tint, this is indicated by positive values on the b* axis. However, honey samples from the southern region of Moldova showed the presence of greenish pollen, as evidenced by the reduced values on the a* axis. Our research reveals the quality level of honey from three different areas of the Republic of Moldova and the variation of quality parameters due to factors such as geographical region, climatic conditions, botanical origin and handling or storage conditions.

Honey bee (Apis mellifera L.) colonies as bioindicators of environmental SARS-CoV-2 occurrence.

SARS-CoV-2 is responsible for the COVID-19 pandemic. Airflows sustain the infection spread, and in densely urbanized areas airborne particulate matters (PMs) are deemed to aggravate the viral transmission. Apis mellifera colonies are used as bioindicators as they allow environmental sampling of different nature, PMs included. This experiment demonstrates for the first time the possible use of honey bee colonies in the SARS-CoV-2 monitoring. The trial was conducted in Bologna on 18 March 2021, when the third wave of the Italian pandemic was at its peak and environmental conditions allowed high PM concentrations in the air. Sterile swabs were lined up at the hive entrance to sample the dusty material on the body of returning foragers. All of them resulted positive for the target genes of viral SARS-CoV-2 RNA. Likewise, internal samples were taken, but they resulted in no amplification of the target sequences. This experiment does not support speculations about the role of honey bees or their products in SARS-CoV-2 transmission. However, it indicates a novel use of A. mellifera colonies in the environmental detection of airborne human pathogens, at least in a densely urbanized area, deserving better understanding and possible integration with data from automatic air samplers.