Biochemical characterization of the Drosophila insulin receptor kinase and longevity-associated mutants.

Drosophila melanogaster (fruit fly) insulin receptor (D-IR) is highly homologous to the human counterpart. Like the human pathway, D-IR responds to numerous insulin-like peptides to activate cellular signals that regulate growth, development, and lipid metabolism in fruit flies. Allelic mutations in the D-IR kinase domain elevate life expectancy in fruit flies. We developed a robust heterologous expression system to express and purify wild-type and longevity-associated mutant D-IR kinase domains to investigate enzyme kinetics and substrate specificities. D-IR exhibits remarkable similarities to the human insulin receptor kinase domain but diverges in substrate preferences. We show that longevity-associated mutations reduce D-IR catalytic activity. Deletion of the unique kinase insert domain portion or mutations proximal to activating tyrosines do not influence kinase activity, suggesting their potential role in substrate recruitment and downstream signaling. Through biochemical investigations, this study enhances our comprehension of D-IR's role in Drosophila physiology, complementing genetic studies and expanding our knowledge on the catalytic functions of this conserved signaling pathway.

A protocol for harvesting biodiversity data from Facebook.

The expanding use of community science platforms has led to an exponential increase in biodiversity data in global repositories. Yet, understanding of species distributions remains patchy. Biodiversity data from social media can potentially reduce the global biodiversity knowledge gap. However, practical guidelines and standardized methods for harvesting such data are nonexistent. Following data privacy and protection safeguards, we devised a standardized method for extracting species distribution records from Facebook groups that allow access to their data. It involves 3 steps: group selection, data extraction, and georeferencing the record location. We present how to structure keywords, search for species photographs, and georeference localities for such records. We further highlight some challenges users might face when extracting species distribution data from Facebook and suggest solutions. Following our proposed framework, we present a case study on Bangladesh's biodiversity-a tropical megadiverse South Asian country. We scraped nearly 45,000 unique georeferenced records across 967 species and found a median of 27 records per species. About 12% of the distribution data were for threatened species, representing 27% of all species. We also obtained data for 56 DataDeficient species for Bangladesh. If carefully harvested, social media data can significantly reduce global biodiversity knowledge gaps. Consequently, developing an automated tool to extract and interpret social media biodiversity data is a research priority.

Un protocolo para recolectar datos sobre biodiversidad en Facebook Resumen El uso creciente de plataformas de ciencia comunitaria ha causado un incremento exponencial de los datos sobre biodiversidad en los repositorios mundiales. Sin embargo, el conocimiento sobre la distribución de las especies todavía está incompleto. Los datos sobre biodiversidad obtenidos de las redes sociales tienen el potencial para disminuir el vacío de conocimiento sobre la biodiversidad mundial. No obstante, no existe una guía práctica o un método estandarizado para recolectar dichos datos. Seguimos los protocolos de privacidad y protección de datos para diseñar un método estandarizado para extraer registros de la distribución de especies de grupos en Facebook que permiten el acceso a sus datos. El método consta de tres pasos: selección del grupo, extracción de datos y georreferenciación de la localidad registrada. También planteamos cómo estructurar las palabras clave, buscar fotografías de especies y georreferenciar las localidades de dichos registros. Además, resaltamos algunos retos que los usuarios pueden enfrentar al extraer los datos de distribución de Facebook y sugerimos algunas soluciones. Aplicamos nuestro marco de trabajo propuesto a un estudio de caso de la biodiversidad en Bangladesh, un país tropical megadiverso en el sureste de Asia. Reunimos casi 45,000 registros georreferenciados únicos para 967 especies y encontramos una media de 27 registros por especie. Casi el 12% de los datos de distribución correspondió a especies amenazadas, que representaban el 27% de todas las especies. También obtuvimos datos para 56 especies deficientes de datos en Bangladesh. Si los datos de las redes sociales se recolectan con cuidado, éstos pueden reducir de forma significativa el vacío de conocimiento para la biodiversidad mundial. Como consecuencia, es una prioridad para la investigación el desarrollo de una herramienta automatizada para extraer e interpretar los datos sobre biodiversidad de las redes sociales.

Unraveling the Challenges: A Compelling Case of Staph Meningitis and Graft Infection in a Bovine Brain Graft Recipient.

Meningitis due to Staphylococcus aureus is extremely rare, with an annual incidence of 1-3%. In this report, we present a rare case involving meningitis, an infected graft, and an infected fluid collection with two forms of S. aureus in a patient who received a bovine brain graft status post-decompression and suboccipital craniectomy with C1 laminectomy and duraplasty for Chiari malformation. The treatment approach included surgical debridement and graft retention, followed by an extended course of antibiotic treatment with oxacillin and rifampin. The patient successfully completed 12 weeks of total antibiotic therapy and was transitioned to suppressive therapy indefinitely with cefadroxil. This case highlights the importance of prompt identification and treatment of S. aureus meningitis due to the high mortality associated with this disease.

Activity budget of Bengal Monitor Varanus bengalensis: Effect of daytime, season, age and temperature.

The Bengal Monitor (Varanus bengalensis) is a large, ecologically flexible species and commonly found in many ecological settings including human-modified habitats. We conducted a study on the activity budget of this species employing the focal sampling method in the Chandpur district of Bangladesh. The Bengal Monitor spent the highest proportion of time in resting (33.09%) and the least proportion (3.75%) of time in anti-predatory behavior. The proportion of time spent on each activity by Bengal Monitor varied significantly between age classes and seasons except anti-predatory behavior. The highest proportion of basking activity was recorded for adult and sub-adult individuals in the dry season. Meanwhile, resting and foraging behavior was higher during the wet season. Locomotion activities were higher in sub-adults than in adult individuals. The duration of the activities did not differ significantly for daytime and season. However, an increase of air temperature significantly impacted lowering basking and rising locomotion activities among all behaviors of adult Bengal Monitor. The present findings suggest that the activities of the Bengal Monitor varied according to temporal and seasonal changes in the habitat's temperature, and age may crucially affect the allocation time for different activities.

Evaluation of agreement between a noninvasive method for real-time measurement of critical blood values with a standard point-of-care device.

The purpose of this work was to investigate the degree of agreement between two distinct approaches for measuring a set of blood values and to compare comfort levels reported by participants when utilizing these two disparate measurement methods. Radial arterial blood was collected for the comparator analysis using the Abbott i-STAT® POCT device. In contrast, the non-invasive proprietary DBC methodology is used to calculate sodium, potassium, chloride, ionized calcium, total carbon dioxide, pH, bicarbonate, and oxygen saturation using four input parameters (temperature, hemoglobin, pO2, and pCO2). Agreement between the measurement for a set of blood values obtained using i-STAT and DBC methodology was compared using intraclass correlation coefficients, Passing and Bablok regression analyses, and Bland Altman plots. A p-value of <0.05 was considered statistically significant. A total of 37 participants were included in this study. The mean age of the participants was 42.4 ± 13 years, most were male (65%), predominantly Caucasian/White (75%), and of Hispanic ethnicity (40%). The Intraclass Correlation Coefficients (ICC) analyses indicated agreement levels ranging from poor to moderate between i-STAT and the DBC's algorithm for Hb, pCO2, HCO3, TCO2, and Na, and weak agreement for pO2, HSO2, pH, K, Ca, and Cl. The Passing and Bablok regression analyses demonstrated that values for Hb, pO2, pCO2, TCO2, Cl, and Na obtained from the i-STAT did not differ significantly from that of the DBC's algorithm suggesting good agreement. The values for Hb, K, and Na measured by the DBC algorithm were slightly higher than those obtained by the i-STAT, indicating some systematic differences between these two methods on Bland Altman Plots. The non-invasive DBC methodology was found to be reliable and robust for most of the measured blood values compared to invasive POCT i-STAT device in healthy participants. These findings need further validation in larger samples and among individuals afflicted with various medical conditions.

Covid-19 Pandemic and its Effect on Residents' Mental Well-Being

Concerns about COVID-19s long-term consequences on the mental health of frontline health professionals are mounting as the entire world strives anew to contain it. The primary objective of this research is to describe the impact of working during the COVID-19 pandemic on junior doctors mental health and to investigate the effect of the COVID-19 pandemic on junior doctors training and professional performance. A cross-sectional online survey using the Google Forms platform was conducted from May 1st to May 30th, 2021, in 311 healthcare workers who were currently enrolled in a residency program at the Kuwait Institutional of Medical Specialization (KIMS). Socio-demographic details of each health worker were collected and the scores related to depression, anxiety, and stress were measured using the previously validated depression anxiety stress scale-21 (DASS-21). Higher stress scores were seen in those who were devoid of the option to work with COVID-19 patients (adjusted {beta} 5.1 (95%CI:1.2-9);p=0.01), who reported that working during the pandemic affected their study schedule (adjusted {beta} 4.8 (95%CI:1.6-8.1);p= 0.004), and who lost off service training time (adjusted {beta} 2.7 (95%CI:0.13-5.2); p=0.034). Further, the anxiety scores were significantly higher in females. The impact of the ongoing pandemic on residents mental health is grave, necessitating psychological treatment and support. The study discovered various factors linked to depression, anxiety, and stress. As a result, these aspects must be regarded to protect the residents mental health.