Screening out molecular pathways and prognostic biomarkers of ultraviolet-mediated melanoma through computational techniques.

PURPOSE: Ultraviolet radiation causes skin cancer, but the exact mechanism by which it occurs and the most effective methods of intervention to prevent it are yet unknown. For this purpose, our study will use bioinformatics and systems biology approaches to discover potential biomarkers of skin cancer for early diagnosis and prevention of disease with applicable clinical treatments. METHODS: This study compared gene expression and protein levels in ultraviolet-mediated cultured keratinocytes and adjacent normal skin tissue using RNA sequencing data from the National Center for Biotechnology Information-Gene Expression Omnibus (NCBI-GEO) database. Then, pathway analysis was employed with a selection of hub genes from the protein-protein interaction (PPI) network and the survival and expression profiles. Finally, potential clinical biomarkers were validated by receiver operating characteristic (ROC) curve analysis. RESULTS: We identified 32 shared differentially expressed genes (DEGs) by analyzing three different subsets of the GSE85443 dataset. Skin cancer development is related to the control of several DEGs through cyclin-dependent protein serine/threonine kinase activity, cell cycle regulation, and activation of the NIMA kinase pathways. The cytoHubba plugin in Cytoscape identified 12 hub genes from PPI; among these 3 DEGs, namely, AURKA, CDK4, and PLK1 were significantly associated with survival (P < 0.05) and highly expressed in skin cancer tissues. For validation purposes, ROC curve analysis indicated two biomarkers: AURKA (area under the curve (AUC) value = 0.8) and PLK1 (AUC value = 0.7), which were in an acceptable range. CONCLUSIONS: Further translational research, including clinical experiments, teratogenicity tests, and in-vitro or in-vivo studies, will be performed to evaluate the expression of these identified biomarkers regarding the prognosis of skin cancer patients.

Proteome- and metabolome-level changes during early stages of clubroot infection in Brassica napus canola.

Clubroot is a destructive root disease of canola (Brassica napus L.) caused by Plasmodiophora brassicae Woronin. Despite extensive research into the molecular responses of B. napus to P. brassicae, there is limited information on proteome- and metabolome-level changes in response to the pathogen, especially during the initial stages of infection. In this study, we have investigated the proteome- and metabolome- level changes in the roots of clubroot-resistant (CR) and -susceptible (CS) doubled-haploid (DH) B. napus lines, in response to P. brassicae pathotype 3H at 1-, 4-, and 7-days post-inoculation (DPI). Root proteomes were analyzed using nanoflow liquid chromatography coupled with tandem mass spectrometry (nano LC-MS/MS). Comparisons of pathogen-inoculated and uninoculated root proteomes revealed 2515 and 1556 differentially abundant proteins at one or more time points (1-, 4-, and 7-DPI) in the CR and CS genotypes, respectively. Several proteins related to primary metabolites (e.g., amino acids, fatty acids, and lipids), secondary metabolites (e.g., glucosinolates), and cell wall reinforcement-related proteins [e.g., laccase, peroxidases, and plant invertase/pectin methylesterase inhibitors (PInv/PMEI)] were identified. Eleven nucleotides and nucleoside-related metabolites, and eight fatty acids and sphingolipid-related metabolites were identified in the metabolomics study. To our knowledge, this is the first report of root proteome-level changes and associated alterations in metabolites during the early stages of P. brassicae infection in B. napus.

Management of bovine brucellosis in organized dairy herds through the identification of risk factors: A cross-sectional study from Karnataka, India.

Background and Aim: Brucellosis is an infectious disease caused by Brucella species. This study aimed to identify the risk factors associated with bovine brucellosis seropositivity in organized dairy farms to control the disease in unvaccinated adult bovine herds in Karnataka, India. Materials and Methods: In total, 3610 samples (3221 cattle and 389 buffaloes) were subjected to parallel testing using the Rose Bengal plate test and protein G-based enzyme-linked immunosorbent assay, followed by analyses of animal- and farm-level epidemiological datasets to identify the risk factors. Results: The apparent brucellosis prevalence at the animal level was higher in buffaloes (8.2%, 95% confidence interval [CI] = 5.9-11.4) than in cattle (6.1%, 95% CI = 5.3-7.0). In a multivariable logistic model, animals calved 3-5 times (odds ratio [OR] = 2.22, 95% CI = 1.50-3.1, reference [ref]: animals calved <2 times); animals with a history of abortion (OR = 54.73, 95% CI = 33.66-89.02), repeat breeding (OR = 19.46, 95% CI = 11.72-32.25), and placental retention (OR = 13.94, 95% CI = 4.92-39.42, ref: no clinical signs); and dogs on farms (OR = 2.55, 95% CI = 1.48-4.40, ref: absence of dogs); disposal of aborted fetus in open fields (OR = 4.97, 95% CI = 1.93-12.84) and water bodies (OR = 2.22, 95% CI = 1.50-3.1, ref: buried); purchase of animals from other farms (OR = 6.46, 95% CI = 1.01-41.67, ref: government farms); hand milking (OR = 1.98, 95% CI = 1.02-10.0, ref: machine milking); and use of monthly veterinary services (OR = 3.45, 95% CI = 1.28-9.29, ref: weekly services) were considered significant risk factors for brucellosis in organized bovine herds (p < 0.01). Conclusion: The study identified that the animals calved 3-5 times or with a history of abortion/repeat breeding/placental retention, and disposal of aborted fetus in open fields/water bodies as the potential risk factors for bovine brucellosis. These risk factors should be controlled through the implementation of best practices to reduce the brucellosis burden in bovine farms.

Parental role and peer support in adolescent suicidal behavior in eight South-East Asian countries.

BACKGROUND: This study aimed to estimate the prevalence of suicidal behaviors, i.e. suicidal ideation (SI), suicidal plan (SP), and suicidal attempt (SA) among adolescents with a focus on parental and peer support in eight South-East Asian countries including Bangladesh, Bhutan, Indonesia, Maldives, Myanmar, Nepal, Sri Lanka and Thailand. METHOD: Data were drawn from Global School-based Student Health Survey (GSHS) covering 42,888 adolescents aged 11-17 years. Weighted prevalence of SI, SP, and SA along with country specific prevalence was computed and binary logistic regression was used to identify associated risk factors. RESULTS: Among 42,888 adolescents 19,113 (44.9%) were males and 23,441 (55.1%) females. Overall prevalence of SI, SP and SA is 9.10%, 10.42% and 8.54%, respectively. Myanmar demonstrated the lowest SI (1.07%) and SP (0.18%) whereas lowest SA was found in Indonesia (3.79%). Maldives had the highest prevalence of SI, SP and SA which were 14.13%, 19.02% and 13.38% respectively. Overall suicidal behaviors were associated with being female [AOR: SI-1.26 (1.06,1.50), SP-1.34 (1.14,1.57)], high levels of sedentary behavior [AOR: SI-2.08 (1.62,2.66), SP-1.86 (1.49,2.32), SA-1.96 (1.45,2.64)], involvement in physical fighting [AOR: SI-1.30 (1.07,1.58), SP-1.37 (1.14,1.65), SA-1.50 (1.17,1.90)], being seriously injured [AOR: SI-1.40 (1.17,1.67), SP-1.44 (1.22,1.69), SA-1.74 (1.39,2.17)], being bullied [AOR: SI- 1.68 (1.39,2.02), SP-1.34 (1.12,1.60), SA-1.88 (1.50,2.36)], feeling lonely (most of time or always) [AOR: SI-3.41(2.60,4.46), SP-1.92 (1.48,2.47), SA-2.25 (1.62,3.13)], lack of parental support (never checking homework) [AOR: SI-1.59 (1.25,2.02), SP-1.52 (1.22,1.90)] and not having close friends [AOR: SI-2.19 (1.66,2.89), SP-2.26 (1.74,2.94), SA-4.23 (3.10,5.78)]. CONCLUSION: Though prevalence of suicidal behaviors varies, a range of cross-cutting risk factors exists that warrant further examination. We recommend focusing on strengthening parental and peer support, targeted programs addressing physical activity, bullying, loneliness and mental-health of adolescents.

Solid Lipid Nanoparticles: Applications and Prospects in Cancer Treatment.

Recent advancements in drug delivery technologies paved a way for improving cancer therapeutics. Nanotechnology emerged as a potential tool in the field of drug delivery, overcoming the challenges of conventional drug delivery systems. In the field of nanotechnology, solid lipid nanoparticles (SLNs) play a vital role with a wide range of diverse applications, namely drug delivery, clinical medicine, and cancer therapeutics. SLNs establish a significant role owing to their ability to encapsulate hydrophilic and hydrophobic compounds, biocompatibility, ease of surface modification, scale-up feasibility, and possibilities of both active and passive targeting to various organs. In cancer therapy, SLNs have emerged as imminent nanocarriers for overcoming physiological barriers and multidrug resistance pathways. However, there is a need for special attention to be paid to further improving the conceptual understanding of the biological responses of SLNs in cancer therapeutics. Hence, further research exploration needs to be focused on the determination of the structure and strength of SLNs at the cellular level, both in vitro and in vivo, to develop potential therapeutics with reduced side effects. The present review addresses the various modalities of SLN development, SLN mechanisms in cancer therapeutics, and the scale-up potential and regulatory considerations of SLN technology. The review extensively focuses on the applications of SLNs in cancer treatment.

Identification and expression analysis of C2H2-zinc finger protein genes reveals their role in stress tolerance in Brassica napus.

C2H2-zinc finger (C2H2-ZF) genes are involved in various biological processes in plants including stress response; however, they lack characterization in Brassica napus. We identified 267 C2H2-ZF genes in B. napus and deciphered their physiological properties, subcellular localization, structure, synteny, and phylogeny and investigated the expression of 20 genes in response to different stresses and phytohormone treatments. The 267 genes were distributed on 19 chromosomes; phylogenetic analysis categorized them into five clades. They varied from 0.41 to 9.2 kb in length, had stress-responsive cis-acting elements in promoter regions, and their protein length varied from 9 to 1366 amino acids. About 42% of the genes had one exon, and 88% genes had orthologs in Arabidopsis thaliana. About 97% of the genes were located in nucleus and 3% in cytoplasmic organelles. qRT-PCR analysis showed a different expression pattern of these genes in response to biotic stresses (Plasmodiophora brassicae and Sclerotinia sclerotiorum) and abiotic stresses (cold, drought, and salinity) and hormonal treatments. Differential expression of the same gene was observed under multiple stress conditions, and a few genes showed similar expression in response to more than one phytohormones. Our results suggest that the C2H2-ZF genes can be targeted for the improvement of stress tolerance in canola.

Silicon ameliorates clubroot responses in canola (Brassica napus): A "multi-omics"-based investigation into possible mechanisms.

Clubroot disease, caused by Plasmodiophora brassicae Woronin, results in severe yield losses in Brassica crops, including canola. Silicon (Si) mitigates several stresses and enhances plant resistance to phytopathogens. We investigated the effects of Si on clubroot disease symptoms in canola at two concentrations of Si, Si: soil in 1: 100 w/w (Si1.0) and Si: soil in 1:200 w/w (Si0.5) under greenhouse conditions. In addition, the effects of Si on P. brassicae-induced gene expression, endogenous levels of phytohormones and metabolites were studied using "omics" approaches. Si application reduced clubroot symptoms and improved plant growth parameters. Gene expression analysis revealed increased transcript-level responses in Si1.0 compared to Si0.5 plants at 7-, 14-, and 21-days post-inoculation (dpi). Pathogen-induced transcript-level changes were affected by Si treatment, with genes related to antioxidant activity (e.g., POD, CAT), phytohormone biosynthesis and signalling (e.g., PDF1.2, NPR1, JAZ, IPT, TAA), nitrogen metabolism (e.g., NRT, AAT), and secondary metabolism (e.g., PAL, BCAT4) exhibiting differential expression. Endogenous levels of phytohormones (e.g., auxin, cytokinin), a majority of the amino acids and secondary metabolites (e.g., glucosinolates) were increased at 7 dpi, followed by a decrease at 14- and 21-dpi due to Si-treatment. Stress hormones such as abscisic acid (ABA), salicylic acid (SA), and jasmonic acid (JA) also decreased at the later time points in Si0.5, and Si1.0 treated plants. Si appears to improve clubroot symptoms while enhancing plant growth and associated metabolic processes, including nitrogen metabolism and secondary metabolite biosynthesis.

Assessing Mechanical Properties of Jute, Kenaf, and Pineapple Leaf Fiber-Reinforced Polypropylene Composites: Experiment and Modelling.

The application of natural fibers is increasing rapidly in the polymer-based composites. This study investigates manufacturing and characterization of polypropylene (PP) based composites reinforced with three different natural fibers: jute, kenaf, and pineapple leaf fiber (PALF). In each case, the fiber weight percentages were varied by 30 wt.%, 35 wt.%, and 40 wt.%. Mechanical properties such as tensile, flexural, and impact strengths were determined by following the relevant standards. Fourier transform infrared (FTIR) spectroscopy was employed to identify the chemical interactions between the fiber and the PP matrix material. Tensile strength and Izod impact strength of the composites significantly increased for all the composites with different fiber contents when compared to the pure PP matrix. The tensile moduli of the composites were compared to the values obtained from two theoretical models based on the modified "rule of mixtures" method. Results from the modelling agreed well with the experimental results. Tensile strength (ranging from 43 to 58 MPa), flexural strength (ranging from 53 to 67 MPa), and impact strength (ranging from 25 to 46 kJ/m2) of the composites significantly increased for all the composites with different fiber contents when compared to the pure PP matrix having tensile strength of 36 MPa, flexural strength of 53 Mpa, and impact strength of 22 kJ/m2. Furthermore, an improvement in flexural strength but not highly significant was found for majority of the composites. Overall, PALF-PP displayed better mechanical properties among the composites due to the high tensile strength of PALF. In most of the cases, T98 (degradation temperature at 98% weight loss) of the composite samples was higher (532-544 °C) than that of 100% PP (500 °C) matrix. Fractured surfaces of the composites were observed in a scanning electron microscope (SEM) and analyses were made in terms of fiber matrix interaction. This comparison will help the researcher to select any of the natural fiber for fiber-based reinforced composites according to the requirement of the final product.

A Perspective on Therapeutic Applications and Strategies to Mitigate Toxicity of Metallic Nanoparticles.

Metallic nanoparticles (MNPs) have been widely used for diagnostic and therapeutic purposes in clinical practice. A number of MNP formulations are being investigated in clinical trials for various applications. This increase in the use of NPs results in higher exposure to humans, leading to toxicity issues. Hence, it is necessary to determine the possible undesirable effects of the MNPs after in-vivo application and exposure. One of the main reasons for the toxicity of MNPs is the release of their respective metallic ions throughout the body. Many research studies are in progress investigating the various strategies to reduce the toxicity of MNPs. These research studies aim to change the size, dose, agglomeration, release, and excretion rates of MNPs. In this perspective review, we discussed the possible strategies to improve the therapeutic effects of MNPs through various processes, with lessons learned from the studies involving silver nanoparticles (AgNPs). We also discussed the ways to manage the toxicity of MNPs by purification, surface functionalization, synergistic effect, and targeted therapy approach. All these strategies could reduce the dose of the MNPs without compromising their therapeutic benefits, which could decrease the toxicity of MNPs. Additionally, we briefly discussed the market and toxicology testing for FDA-regulated MNPs.

The Promise of Teleconsultation in the Era of Pandemic: A Case from Bangladesh.

Background: In 2016, the Government of Bangladesh (GoB) established a teleconsultation service called Shastho Batayon to increase access to physicians. During COVID-19 pandemic, health care access became limited due to movement restrictions. In response, GoB made Shastho Batayon toll free, publicized the number through media, increased the number of call center doctors, introduced automated messages on COVID-19 preventive measures, and developed a scoring system to classify risk groups for COVID-19. Objectives and Methods: In this case report, we describe how an existing national teleconsultation service can be utilized in a low- and middle-income country to address primary health care needs during a public health emergency. We conducted secondary analysis of Shastho Batayon service data from January to April 2020. Results: The total calls for doctor's consultation increased during the pandemic. Prepandemic, Shastho Batayon received less than 20,000 calls per month. In March 2020, when the first cases of COVID-19 were confirmed, Shastho Batayon services received 60,811 calls for doctor's consultation, which increased to 125,660 calls in April, 2020. The doctor's consultation for primary care has increased for all conditions. Shastho Batayon services screened 28,944 patients with the influenza-like illness or COVID-19-like symptoms in March and April, 2020, provided preventive measures, advice, and referral to designated hospitals based on a national guideline. Conclusions: In public health emergencies such as COVID-19 pandemic, teleconsultation services can help provide prevention guidelines, debunk misinformation, identify risk categories, and refer people to appropriate service and facilities in a timely manner.

Use of Intravenous Vitamin C in Critically Ill Patients With COVID-19 Infection.

INTRODUCTION: The pathophysiology for Coronavirus Disease 2019 (COVID-19) infection is characterized by cytokine oxidative stress and endothelial dysfunction. Intravenous (IV) vitamin C has been utilized as adjuvant therapy in critically ill patients with sepsis for its protective effects against reactive oxygen species and immunomodulatory effects. The primary objective of this study was to evaluate the effects of IV vitamin C in critically ill patients with COVID-19 infection. METHODS: Retrospective observational cohort study with propensity score matching of intensive care unit (ICU) patients who received 1.5 grams IV vitamin C every 6 hours for up to 4 days for COVID-19 infection. The primary study outcome was in-hospital mortality. Secondary outcomes included vasopressor requirements in norepinephrine equivalents, ICU length of stay, and change in Sequential Organ Failure Assessment (SOFA) score. RESULTS: Eight patients received IV vitamin C and were matched to 24 patients. Patients in the IV vitamin C group had higher rates of hospital mortality [7 (88%) vs. 19 (79%), P = 0.049]. There was no difference in the daily vasopressor requirement in the treatment group or between the 2 groups. The mean SOFA scores post-treatment was higher in the IV vitamin C group (12.4 ± 2.8 vs. 8.1 ± 3.5, P < 0.005). There was no difference in ICU length of stay between the treatment and control groups. CONCLUSION: Adjunctive IV vitamin C for the management of COVID-19 infection in critically ill patients may not decrease the incidence of mortality, vasopressor requirements, SOFA scores, or ventilator settings.

Molecule(s) of Interest: I. Ionic Liquids-Gateway to Newer Nanotechnology Applications: Advanced Nanobiotechnical Uses', Current Status, Emerging Trends, Challenges, and Prospects.

Ionic liquids are a potent class of organic compounds exhibiting unique physico-chemical properties and structural compositions that are different from the classical dipolar organic liquids. These molecules have found diverse applications in different chemical, biochemical, biophysical fields, and a number of industrial usages. The ionic liquids-based products and procedural applications are being developed for a number of newer industrial purposes, and academic uses in nanotechnology related procedures, processes, and products, especially in nanobiotechnology and nanomedicine. The current article overviews their uses in different fields, including applications, functions, and as parts of products and processes at primary and advanced levels. The application and product examples, and prospects in various fields of nanotechnology, domains of nanosystem syntheses, nano-scale product development, the process of membrane filtering, biofilm formation, and bio-separations are prominently discussed. The applications in carbon nanotubes; quantum dots; and drug, gene, and other payload delivery vehicle developments in the nanobiotechnology field are also covered. The broader scopes of applications of ionic liquids, future developmental possibilities in chemistry and different bio-aspects, promises in the newer genres of nanobiotechnology products, certain bioprocesses controls, and toxicity, together with emerging trends, challenges, and prospects are also elaborated.

Early-stage responses to Plasmodiophora brassicae at the transcriptome and metabolome levels in clubroot resistant and susceptible oilseed Brassica napus.

Clubroot, a devastating soil-borne root disease, in Brassicaceae is caused by Plasmodiophora brassicae Woronin (P. brassicae W.), an obligate biotrophic protist. Plant growth and development, as well as seed yield of Brassica crops, are severely affected due to this disease. Several reports described the molecular responses of B. napus to P. brassicae; however, information on the early stages of pathogenesis is limited. In this study, we have used transcriptomics and metabolomics to characterize P. brassicae pathogenesis at 1-, 4-, and 7-days post-inoculation (DPI) in clubroot resistant (CR) and susceptible (CS) doubled-haploid (DH) canola lines. When we compared between inoculated and uninoculated groups, a total of 214 and 324 putative genes exhibited differential expression (q-value < 0.05) at one or more time-points in the CR and CS genotypes, respectively. When the inoculated CR and inoculated CS genotypes were compared, 4765 DEGs were differentially expressed (q-value < 0.05) at one or more time-points. Several metabolites related to organic acids (e.g., citrate, pyruvate), amino acids (e.g., proline, aspartate), sugars, and mannitol, were differentially accumulated in roots in response to pathogen infection when the CR and CS genotypes were compared. Several DEGs also corresponded to differentially accumulated metabolites, including pyrroline-5-carboxylate reductase (BnaC04g11450D), citrate synthase (BnaC02g39080D), and pyruvate kinase (BnaC04g23180D) as detected by transcriptome analysis. Our results suggest important roles for these genes in mediating resistance to clubroot disease. To our knowledge, this is the first report of an integrated transcriptome and metabolome analysis aimed at characterizing the molecular basis of resistance to clubroot in canola.

Genome-wide identification of biotin carboxyl carrier subunits of acetyl-CoA carboxylase in Brassica and their role in stress tolerance in oilseed Brassica napus.

BACKGROUND: Biotin carboxyl carrier protein (BCCP) is a subunit of Acetyl CoA-carboxylase (ACCase) which catalyzes the conversion of acetyl-CoA to malonyl-CoA in a committed step during the de novo biosynthesis of fatty acids. Lipids, lipid metabolites, lipid-metabolizing and -modifying enzymes are known to play a role in biotic and abiotic stress tolerance in plants. In this regard, an understanding of the Brassica napus BCCP genes will aid in the improvement of biotic and abiotic stress tolerance in canola. RESULTS: In this study, we identified 43 BCCP genes in five Brassica species based on published genome data. Among them, Brassica rapa, Brassica oleracea, Brassica nigra, Brassica napus and Brassica juncea had six, seven, seven, 10 and 13 BCCP homologs, respectively. Phylogenetic analysis categorized them into five classes, each with unique conserved domains. The promoter regions of all BCCP genes contained stress-related cis-acting elements as determined by cis-element analysis. We identified four and three duplicated gene pairs (segmental) in B. napus and B. juncea respectively, indicating the role of segmental duplication in the expansion of this gene family. The Ka/Ks ratios of orthologous gene pairs between Arabidopsis thaliana and five Brassica species were mostly less than 1.0, implying that purifying selection, i.e., selective removal of deleterious alleles, played a role during the evolution of Brassica genomes. Analysis of 10 BnaBCCP genes using qRT-PCR showed a different pattern of expression because of exposure of the plants to biotic stresses, such as clubroot and sclerotinia diseases, and abiotic stresses such as drought, low temperature and salinity stresses. CONCLUSIONS: The identification and functional analysis of the Brassica BCCPs demonstrated that some of these genes might play important roles in biotic and abiotic stress responses. Results from this study could lay the foundation for a better understanding of these genes for the improvement of Brassica crops for stress tolerance.

Deep Learning-Aided Automated Pneumonia Detection and Classification Using CXR Scans.

The COVID-19 pandemic has caused a worldwide catastrophe and widespread devastation that reeled almost all countries. The pandemic has mounted pressure on the existing healthcare system and caused panic and desperation. The gold testing standard for COVID-19 detection, reverse transcription-polymerase chain reaction (RT-PCR), has shown its limitations with 70% accuracy, contributing to the incorrect diagnosis that exaggerated the complexities and increased the fatalities. The new variations further pose unseen challenges in terms of their diagnosis and subsequent treatment. The COVID-19 virus heavily impacts the lungs and fills the air sacs with fluid causing pneumonia. Thus, chest X-ray inspection is a viable option if the inspection detects COVID-19-induced pneumonia, hence confirming the exposure of COVID-19. Artificial intelligence and machine learning techniques are capable of examining chest X-rays in order to detect patterns that can confirm the presence of COVID-19-induced pneumonia. This research used CNN and deep learning techniques to detect COVID-19-induced pneumonia from chest X-rays. Transfer learning with fine-tuning ensures that the proposed work successfully classifies COVID-19-induced pneumonia, regular pneumonia, and normal conditions. Xception, Visual Geometry Group 16, and Visual Geometry Group 19 are used to realize transfer learning. The experimental results were promising in terms of precision, recall, F1 score, specificity, false omission rate, false negative rate, false positive rate, and false discovery rate with a COVID-19-induced pneumonia detection accuracy of 98%. Experimental results also revealed that the proposed work has not only correctly identified COVID-19 exposure but also made a distinction between COVID-19-induced pneumonia and regular pneumonia, as the latter is a very common disease, while COVID-19 is more lethal. These results mitigated the concern and overlap in the diagnosis of COVID-19-induced pneumonia and regular pneumonia. With further integrations, it can be employed as a potential standard model in differentiating the various lung-related infections, including COVID-19.

Students' knowledge and perceptions of social determinants of health utilizing interactive computer simulation-based learning.

INTRODUCTION: The purpose of this study was to assess if using computer simulations as a supplemental tool for teaching social determinants of health (SDoH) would impact first-year pharmacy students' knowledge and perceptions of SDoH. METHODS: A brief lecture and online poverty game were followed by completion of two, in-class, computer-simulated SDoH clinical scenarios and corresponding case discussion. Students completed a pre- and post-quiz and perception survey with two open-ended questions. Qualitative analysis of the open-ended questions and quantitative analyses of the poverty game choices, quiz, and perception survey were conducted. RESULTS: In total, 132 students were enrolled in this study. Thematic analysis of the open-ended question asking students what they learned included empathy (42%), general SDoH knowledge (30%), culture/religion (18%), and economic impact (15%). Student perceptions for all teaching modalities had a mean score of 4. Mean quiz scores on the pre- and post-class quizzes were 2.31 (SD 0.93) and 2.51 (SD 0.89), respectively. CONCLUSIONS: Computer simulations can be utilized as a supplemental tool to teach and apply clinical patient cases focused on SDoH. Strategically threading SDoH throughout the pharmacy curriculum is recommended to further develop SDoH knowledge and clinical skills.

Knowledge, Attitudes, and Practices in Relation to Mosquito-Borne Diseases in Bangladesh.

Mosquito-borne diseases (MBDs) such as dengue, malaria, and chikungunya are common in Bangladesh, with frequent outbreaks in the rainy season. Analysis of the knowledge, attitudes, and practices of people toward any crisis is fundamental to addressing any gap. Here, we conducted a cross-sectional study mainly focusing on the northern, southern and central parts of Bangladesh to understand the level of knowledge, attitudes, and practices of people regarding MBDs, mosquito habitats, or control measures. A total of 1720 participants were involved in the study from 33 out of 64 districts of Bangladesh, of which 56.9% were male. While most of them knew about dengue (97.1%), chikungunya (81.4%), and malaria (85.2%), only half of them were aware of filaria (53.3%), which is endemic to the northern region. A knowledge score (0−8, low), (9−16, moderate), (17−24, high), and attitude score (0−4, poor), (5−8, moderate), and (9−13, high) were assigned. While poor and moderate attitudes were considered negative, good attitudes were considered positive. About 45% of the respondents had a moderate knowledge score (50−70); however, about 67.9% of participants showed a good attitude score (>70) towards the control of MBDs. It was found that the knowledge and attitude of the responders were related to their profession (knowledge p < 0.001; attitude, p = 0.002), residential area (knowledge p < 0.001; attitude, p < 0.001), and education level (knowledge p < 0.001; attitude p = 0.004). A mosquito is a kind of nuisance bug, and about 79.8% of responders admitted that they kill mosquitoes as soon as they notice them. They also use bed nets (93.7%) followed by mosquito coils (85.7%) as a preventive method. Interestingly, 73.2% of the responders were reluctant to contact the local government during an increase in mosquito numbers. Overall, the people of Bangladesh have a positive attitude towards the prevention of mosquito-borne diseases. It is highly recommended that the government creates more knowledge regarding this issue and develops collaborative approaches with local people to implement robust preventive measures against mosquito-borne diseases.

Development and Validation of Chromatographic and Spectrophotometric Methods for the Quantitation of Rufinamide in Pharmaceutical Preparations.

Objectives: Two optimized and validated high performance liquid chromatography (HPLC) and spectrophotometric methods are proposed. The developed methods were quantified with high sensitivity, accuracy, and precision at low concentrations to determine rufinamide (RUF) in active pharmaceutical ingredients (API) and pharmaceutical preparations. Materials and Methods: HPLC method was developed using a base deactivated silica Hypersil C18 column and a combination of methanol: acetonitrile: water (15: 10: 75, v/v/v) as the mobile phase and detected at 210 nm. A reaction of RUF with sodium nitrite and hydrochloric acid occurred, absorbed maximally at 385 nm was extended to develop a ultraviolet (UV)-visible spectrophotometric method to determine RUF in API and pharmaceutical preparations. Results: Different analytical validation parameters, including specificity, linearity, accuracy, precision, the limit of detection, quantification, ruggedness, and robustness, were determined as per International Conference on Harmonization guidelines. The linearity range of RUF was 0.15-3.5 and 10-100 µg/mL for HPLC and spectrophotometric methods, respectively. Conclusion: The proposed investigations were valuable for drug monitoring and regular analysis of RUF in quality control and research laboratories. Moreover, the accuracy and precision obtained with the UV-visible spectrophotometer implied that it could be a cheap, easy, and alternative method, while HPLC could be sensitive to determine RUF at low concentration levels.