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Cuticular hydrocarbon (CHCs) variation has been detected in various insect taxa, but the potential contribution of cuticular compounds for analyzing intraspecific diversity at the population level has been little explored. Here we assess for the first time intraspecific variation in the CHC profile of stingless bees, using the species Melipona beecheii and Nannotrigona perilampoides. The objective is determining whether intraspecific variation can be useful for population identification. We found species-specific chemical patterns and extensive variation within each species. Notably, chemotypes were significantly associated to geographic origin in N. perilampoides but less so in M. beecheii and we discuss possible explanations for these patterns. Our results support the use of CHCs in conjunction with other methods in emerging problems such as undetected colony mobilization across regions. As CHCs are involved in several aspects of stingless bee recognition and interactions, it would be essential to unravel how these chemical signatures evolve across populations.

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The thymus is the site of T lymphocyte development and T cell education to recognize foreign, but not self, Ags. B cells also reside and develop in the thymus, although their functions are less clear. During "thymic involution," a process of lymphoid atrophy and adipose replacement linked to sexual maturation, thymocytes decline. However, thymic B cells decrease far less than T cells, such that B cells comprise ∼1% of human neonatal thymocytes but up to ∼10% in adults. All jawed vertebrates possess a thymus, and we and others have shown zebrafish (Danio rerio) also have thymic B cells. In this article, we investigated the precise identities of zebrafish thymic T and B cells and how they change with involution. We assessed the timing and specific details of zebrafish thymic involution using multiple lymphocyte-specific, fluorophore-labeled transgenic lines, quantifying the changes in thymic T- and B-lymphocytes pre- versus postinvolution. Our results prove that, as in humans, zebrafish thymic B cells increase relative to T cells postinvolution. We also performed RNA sequencing on D. rerio thymic and marrow lymphocytes of four novel double-transgenic lines, identifying distinct populations of immature T and B cells. Collectively, this is, to our knowledge, the first comprehensive analysis of zebrafish thymic involution, demonstrating its similarity to human involution and establishing the highly genetically manipulatable zebrafish model as a template for involution studies.

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The thymus is the site of T lymphocyte development and T cell education to recognize foreign, but not self, antigens. B cells also reside and develop in the thymus, although their functions are less clear. During 'thymic involution,' a process of lymphoid atrophy and adipose replacement linked to sexual maturation, thymocytes decline. However, thymic B cells decrease far less than T cells, such that B cells comprise ~1% of human neonatal thymocytes, but up to ~10% in adults. All jawed vertebrates possess a thymus, and we and others have shown zebrafish (Danio rerio) also have thymic B cells. Here, we investigated the precise identities of zebrafish thymic T and B cells and how they change with involution. We assessed the timing and specific details of zebrafish thymic involution using multiple lymphocyte-specific, fluorophore-labeled transgenic lines, quantifying the changes in thymic T- and B-lymphocytes pre- vs. post-involution. Our results prove that, as in humans, zebrafish thymic B cells increase relative to T cells post-involution. We also performed RNA sequencing (RNA-seq) on D. rerio thymic and marrow lymphocytes of four novel double-transgenic lines, identifying distinct populations of immature T and B cells. Collectively, this is the first comprehensive analysis of zebrafish thymic involution, demonstrating its similarity to human involution, and establishing the highly genetically-manipulatable zebrafish model as a template for involution studies.

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Honey bees (Apis mellifera L.) are affected by different biotic and abiotic stressors, such as the fungus Nosema ceranae and neonicotinoid insecticides, that negatively impact their health. However, most studies so far conducted have focused on the effect of these stressors separately and in European honey bees. Therefore, this study was conducted to analyze the impact of both stressors, singly and in combination, on honey bees of African descent that have demonstrated resistance to parasites and pesticides. Africanized honey bees (AHBs, Apis mellifera scutellata Lepeletier) were inoculated with N. ceranae (1 × 105 spores/bee) and/or chronically exposed for 18 days to a sublethal dose of thiamethoxam (0.025 ng/bee) to evaluate their single and combined effects on food consumption, survivorship, N. ceranae infection, and immunity at the cellular and humoral levels. No significant effects by any of the stressors were found for food consumption. However, thiamethoxam was the main stressor associated to a significant decrease in AHB survivorship, whereas N. ceranae was the main stressor affecting their humoral immune response by upregulating the expression of the gene AmHym-1. Additionally, both stressors, separately and combined, significantly decreased the concentration of haemocytes in the haemolymph of the bees. These findings indicate that N. ceranae and thiamethoxam differentially affect the lifespan and immunity of AHBs and do not seem to have synergistic effects when AHBs are simultaneously exposed to both stressors.

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Speech imagery has been successfully employed in developing Brain-Computer Interfaces because it is a novel mental strategy that generates brain activity more intuitively than evoked potentials or motor imagery. There are many methods to analyze speech imagery signals, but those based on deep neural networks achieve the best results. However, more research is necessary to understand the properties and features that describe imagined phonemes and words. In this paper, we analyze the statistical properties of speech imagery EEG signals from the KaraOne dataset to design a method that classifies imagined phonemes and words. With this analysis, we propose a Capsule Neural Network that categorizes speech imagery patterns into bilabial, nasal, consonant-vocal, and vowels/iy/ and/uw/. The method is called Capsules for Speech Imagery Analysis (CapsK-SI). The input of CapsK-SI is a set of statistical features of EEG speech imagery signals. The architecture of the Capsule Neural Network is composed of a convolution layer, a primary capsule layer, and a class capsule layer. The average accuracy reached is 90.88%±7 for bilabial, 90.15%±8 for nasal, 94.02%±6 for consonant-vowel, 89.70%±8 for word-phoneme, 94.33%± for/iy/ vowel and, 94.21%±3 for/uw/ vowel detection. Finally, with the activity vectors of the CapsK-SI capsules, we generated brain maps to represent brain activity in the production of bilabial, nasal, and consonant-vocal signals.

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We present contactless technology measuring abnormal ventilation and compare it with polysomnography (PSG). A 13-years old girl with Pitt-Hopkins syndrome presented hyperpnoea periods with apneic spells. The PSG was conducted simultaneously with Emfit movement sensor (Emfit, Finland) and video camera with depth sensor (NEL, Finland). The respiratory efforts from PSG, Emfit sensor, and NEL were compared. In addition, we measured daytime breathing with tracheal microphone (PneaVox,France). The aim was to deepen the knowledge of daytime hyperpnoea periods and ensure that no upper airway obstruction was present during sleep. The signs of upper airway obstruction were not detected despite of minor sleep time. Monitoring respiratory effort with PSG is demanding in all patient groups. The used unobtrusive methods were capable to reveal breathing frequency and hyperpnoea periods. Every day diagnostics need technology like this for monitoring vital signs at hospital wards and at home from subjects with disabilities and co-operation difficulties.

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BACKGROUND/AIM: Renin-angiotensin system (RAS) is present in a diverse type of cells and plays an important role in lung physiology and pathophysiology. Angiotensin converting enzymes (ACE) are part of the RAS system. There are still controversies about the association of I/D polymorphisms of ACE1 with COVID-19 severity. The goal of the study was to determine whether there is an association of the I/D polymorphism with severity of COVID-19 in Mexican patients. PATIENTS AND METHODS: The study included voluntary participants: 53 healthy individuals negative to RT-PCR COVID-19 (control), and 165 patients positive to COVID-19. Severity was defined by the need of hospitalization, invasive ventilation, shock, or multiple organ failure. The patient group consisted of 28 asymptomatic, 82 with mild, and 55 with severe COVID-19. I/D polymorphism was determined by PCR. Rutinary laboratory tests were performed in all the participants. RESULTS: DD polymorphism was significantly associated with severe COVID-19, independently of comorbidities, or any other variable. Receiver operator characteristic curves demonstrated association of low total cholesterol, low high-density lipoproteins, and high c-reactive protein with severity of COVID-19. CONCLUSION: The DD polymorphism was associated with the course of the infection and severity of COVID-19 in a sample of Mexican patients.

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Pathogen spillover between honey bees and wild pollinators is a relatively new and exciting field of study. It is known that some viral diseases are a major threat to honey bee health and, thus, the diagnosis and quantification of honey bee viruses in wild pollinators have gained attention. Pathogen spillover from honey bees to wild bees and the consequences of viral replication to their health still need to be investigated. However, finding positive samples to produce standard curves and include positive controls in real-time PCR (qPCR) assays is challenging. Here we describe the use of synthetic DNA sequences of two variants of deformed wing virus (DWV-A and DWV-B), black queen cell virus (BQCV), sacbrood virus (SBV), chronic bee paralysis virus (CBPV), Kashmir bee virus (KBV), acute bee paralysis virus (ABPV), and Israeli acute paralysis virus (IAPV), to construct standard curves for viral quantification, and for their use as positive controls in qPCR assays.

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Resumen Objetivo: Reportar la implementación y los beneficios del Modelo de atención integral en el segundo nivel: Experiencia de la Unidad de Especialidades Médicas, su utilidad en el manejo y seguimiento de los pacientes con enfermedades crónicas. Material y métodos: Se lograron implementar 9 consultorios de atención médica de la siguiente forma, 2 de Endocrinología, 3 consultorios de Clínica de Enfermedades Crónicas, uno de educación en diabetes e hipertensión, así como 3 de apoyo nutricional. Se midió valores absolutos del número de consultas durante los años 2017, 2018, 2019 y parte del 2020. Así mismo se buscó identificar las patologías más prevalentes con la idea en tener un mejor control y seguimiento de los pacientes, con una mejor organización de personal de atención médico y de enfermería. Resultados y discusión: Se lograron incrementar los números de consulta, con un control y seguimiento más estricto de los pacientes, además de los beneficios en cuanto a la formación y capacitación de médicos residentes, generales tanto militares como profesionales de la salud civiles para enfrentar estos padecimientos prevalentes en nuestro país.

Abstract Objective: To report the implementation as well as the benefits of the Comprehensive Care Model at the second level: Experience of the Medical Specialties Unit, and assess its usefulness in the management and monitoring of patients with chronic diseases. Material and methods: 9 medical care clinics were implemented as follows, 2 for Endocrinology, 3 Clinics for Chronic Diseases, one for education in diabetes and hypertension, as well as 3 for nutritional support. Absolute values of the number of consultations were measured during the years 2017, 2018, 2019 and part of 2020. Likewise, it was sought to identify the most prevalent pathologies with the idea of having a better control and monitoring of patients, with a better organization of medical and nursing care personnel. Results and discussion: It was possible to increase the consultation numbers, with a stricter control and monitoring of patients, in addition to the benefits in terms of training and training of resident doctors, both military generals and civilian health professionals to face these prevalent conditions in our country.

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This study was conducted to analyze the effect of genotype and climate on the resistance of honey bee (Apis mellifera) colonies to parasitic and viral diseases. The prevalence and intensity of parasitism by Varroa destructor, or infection by Nosema spp., and four honey bee viruses were determined in 365 colonies of predominantly European or African ancestry (descendants of A. m. scutellata) in subtropical and temperate regions of Mexico. Varroa destructor was the most prevalent parasite (95%), whilst N. ceranae was the least prevalent parasite (15%). Deformed wing virus (DWV) and black queen cell virus (BQCV) were the only viruses detected, at frequencies of 38% and 66%, respectively. Varroa destructor was significantly more prevalent in colonies of European ancestry (p < 0.05), and the intensity of parasitism by V. destructor or infection by DWV and BQCV was also significantly higher in colonies of European descent than in African descent colonies (p < 0.01), although no genotype−parasite associations were found for N. ceranae. Additionally, significant and positive correlations were found between V. destructor and DWV levels, and the abundance of these pathogens was negatively correlated with the African ancestry of colonies (p < 0.01). However, there were no significant effects of environment on parasitism or infection intensity for the colonies of both genotypes. Therefore, it is concluded that the genotype of honey bee colonies, but not climate, influences their resistance to DWV, BQCV, and V. destructor.

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This is a preliminary study conducted to analyze the presence and concentration of pesticides in honey obtained from honey bee colonies located in two regions with managed ecosystems that differ in the intensity and technification of agricultural practices. Fourteen pesticides at variable concentrations were detected in 63% of the samples analyzed. The pesticides most frequently found at higher concentrations were insecticides (neonicotinoids, followed by organophosphates), herbicides, and fungicides. The number, frequency, and concentration of pesticides were higher in samples collected from hives located where intensive and highly-technified agriculture is practiced. Forty-three percent of the samples from that zone had residues of imidacloprid, compared with only 13% of the samples from the less-technified zone. Furthermore, 87.5% of those samples had imidacloprid concentrations that were above sublethal doses for honey bees (>0.25 ng/g) but that are not considered hazardous to human health by the European Commission. The results of this study suggest that honey can be used as a bioindicator of environmental contamination by pesticides, which highlights the need to continue monitoring contaminants in this product to determine the risks of pesticide impacts on pollinator health, on ecosystems, and on their potential implications to human health and other non-target organisms.

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El embarazo añoso representa una problemática de salud pública debido a sus repercusiones en el binomio madre-hijo. Objetivo. Determinar las complicaciones materno-fetales en embarazadas añosas atendidas en el Centro de Salud Tipo C San Jacinto de Buena Fe durante el periodo enero y diciembre del 2020. Materiales y métodos. El diseño de investigación observacional, cuantitativo, retrospectivo, descriptivo de corte transversal con una muestra de 80 gestantes mayores de 35 años, como instrumento se empleó un formulario de recolección de datos que constó de 12 ítems validados por un juicio de expertos. Resultados. Las caracteristicas sociodemográficas de interés en las pacientes del estudio fueron: grupo etario de 35-37 años con el 67,2 %, unión libre con 52,5 %, grado de instrucción primario con el 46,3 % y procedencia rural en el 95 %; entre las complicaciones maternas: ruptura prematura de membranas con el 25 %, trastornos hipertensivos en el 16,2 % y aborto espontáneo con el 13,7 %; las complicaciones fetales: prematuridad con el 17,5 %, bajo peso al nacer con el 17,5 % y síndrome de dificultad respiratoria con el 11,2%. Conclusión. Fue posible establecer las características sociodemográficas de interés en la muestra de estudio, identificar algunos factores de riesgo de complicaciones y determinar las complicaciones que comprometen a la madre y al hijo/a en embarazos de edad avanzada.

Elderly pregnancy represents a public health problem due to its repercussions on the mother-child binomial. Objective. To determine the maternal-fetal complications in elderly pregnant women treated at the San Jacinto de Buena Fe Type C Health Center during the period January and December 2020. Materials and methods. The observational, quantitative, retrospective, descriptive cross-sectional research design with a sample of 80 pregnant women over 35 years of age, as an instrument a data collection form that consisted of 12 items validated by an expert judgment was used. Results. The sociodemographic characteristics of interest in the study patients were age group 35-37 years with 67.2%, free union with 52.5%, grade of primary education with 46.3% and rural origin in 95 %; among maternal complications: premature rupture of membranes with 25%, hypertensive disorders in 16.2% and spontaneous abortion with 13.7%; fetal complications: prematurity with 17.5%, low birth weight with 17.5% and respiratory distress syndrome with 11.2%. Conclusion. It was possible to establish the sociodemographic characteristics of interest in the study sample, identify some risk factors for complications, and determine the complications that affect the mother and the child in older pregnancies(AU)

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La diabetes Mellitus es un padecimiento que empieza cuando el páncreas no realiza un uso adecuado de la insulina que produce o no puede lograr producir insulina. Se descomponen en glucosa en la sangre todos los alimentos ricos en hidratos de carbono; la insulina da ayuda a la glucosa para que esta pueda ingresar en las células. Los niveles de azúcar en la sangre al no funcionar bien el páncreas suben, lo cual debe ser controlado por medio de un tratamiento médico de por vida, y lo más importante la persona debe cambiar de hábitos en su salud. Objetivo: El objetivo principal de esta investigación es definir el efecto que produce la adherencia a la insulinoterapia en los pacientes con diabetes tipo II del Hospital del Día Mariana de Jesús. Materiales y Métodos: Se utilizó una investigación cuantitativa, transversal ya que se realizó una encuesta a los pacientes, la cual se procedió a la recolección y análisis e interpretación de datos. La muestra trabajada fue de 100 pacientes, los cuales fueron atendidos en el Hospital por concepto de diabetes tipo II en el área de emergencia. Resultados: Como resultado de la investigación tenemos que el 76% de los encuestados conocen sobre el tratamiento de la insulinoterapia, el 85% se rehusó a utilizar insulina cuando inició su tratamiento, el 75% ha tenido dificultad para la conservación de la insulina, el 63% considera que el uso de la insulina es riesgos, el 53% indicó haber recibido asesoría sobre los posibles efectos de la insulina, al 65% de encuestados su jornada laboral no le permite asistir a su control médico, el 72% ha sentido un desmejoro en su salud al dejar el tratamiento y el 63% de los encuestados indicó que ha abandonado en algún momento su tratamiento por temor a los efectos secundarios que dicen tener. Conclusiones: Se estableció el tipo de complicaciones que se dan en los pacientes ante la no adherencia a la insulinoterapia, uno de ellos fue, que al dejar el tratamiento los pacientes sintieron un desmejoro en su estado de salud, así también, los pacientes han abandonado el tratamiento en algún momento por miedo a los efectos secundarios que dicen tener la insulina(AU)

Diabetes Mellitus is a condition that begins when the pancreas does not make proper use of the insulin it produces or cannot achieve produce insulin. All foods rich in glucose are broken down into glucose in the blood. carbohydrates; insulin helps glucose to enter the cells cells. When the pancreas does not work well, blood sugar levels rise, which must be controlled by lifelong medical treatment, and most importantly the person must change their health habits. Objective: The main objective of this research is to define the effect produced by adherence to insulin therapy in patients with type II diabetes at Hospital del Día Mariana de Jesús. Materials and Methods: A quantitative, cross-sectional investigation was used since a patient survey which proceeded to the collection and analysis and interpretation of data. The sample worked was 100 patients who were treated at the Hospital for type II diabetes concept in the emergency area. Results: Like result of the investigation we have that 76% of the respondents know about the insulin therapy treatment, 85% refused to use insulin when they started their treatment, 75% have had difficulty conserving insulin, 63% considers that the use of insulin is risky, 53% indicated having received counseling about the possible effects of insulin, 65% of those surveyed did not care about their working hours. allows them to attend their medical control, 72% have felt a deterioration in their health when leaving the treatment and 63% of those surveyed indicated that they had abandoned their treatment at some point. treatment for fear of the side effects they claim to have. Conclusions: If established the type of complications that occur in patients due to non-adherence to insulin therapy, one of them was that when leaving the treatment the patients felt a deterioration in their state of health, as well as the patients have abandoned the treatment at some point for fear of the side effects that they claim to have insulin(AU)

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This work presents a novel methodology for systematically processing the time series that report the number of positive, recovered and deceased cases from a viral epidemic, such as Covid-19. The main objective is to unveil the evolution of the number of real infected people, and consequently to predict the peak of the epidemic and subsequent evolution. For this purpose, an original nonlinear model relating the raw data with the time-varying geometric ratio of infected people is elaborated, and a Kalman Filter is used to estimate the involved state variables. A hypothetical simulated case is used to show the adequacy and limitations of the proposed method. Then, several countries, including China, South Korea, Italy, Spain, U.K. and the USA, are tested to illustrate its behavior when real-life data are processed. The results obtained clearly show the beneficial effect of the severe lockdowns imposed by many countries worldwide, but also that the softer social distancing measures adopted afterwards have been almost always insufficient to prevent the subsequent virus waves.

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AIM: Dyslipidemia is recognized as one of the major risk factors for cardiovascular diseases. This retrospective observational study was aimed to assess the effect of proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors in dyslipidemic patients with a lipid profile not well controlled by maximally tolerated statin therapy or intolerant to these lipid-lowering drugs. We enrolled 151 patients, of whom, 119 were taking evolocumab and 32 alirocumab. RESULTS: Total cholesterol significantly decreased progressively until the fourth year; after 4 years there was a significant reduction (-125.5 mg/dl, -51.5%, P < 0.0001 vs baseline, and P < 0.05 vs 1 year and P < 0.05 vs 2 years) and -2.8 mg/dl (-2.3%) compared with the third year. Low-density lipoprotein-cholesterol (LDL-C) also decreased significantly until the fourth year. After 3 years, there was a significant reduction (-117.8 mg/dl, -71.5%, P < 0.0001 vs baseline, and P < 0.05 vs 1 year) and -13.9 mg/dl (-22.8%) compared with the second year; after 4 years there was a significant reduction (-121.4 mg/dl, -73.7%, P < 0.0001 vs baseline, and P < 0.05 vs 1 year and P < 0.05 vs 2 years) and -3.6 mg/dl (-7.7%) compared with the third year. High-density lipoprotein-cholesterol increased significantly only during the fourth year of detection. After 3 years, there was a nonsignificant increase (4.9 mg/dl, 10.0%, P = 0.061 vs baseline) and 1.6 mg/dl (3.1%) compared with the second year; after 4 years, there was a significant increase (5.2 mg/dl, 10.6%, P < 0.05 vs baseline) and 0.3 mg/dl (0.6%) compared with the third year. The value of Tg was significantly reduced progressively until the second year and then stabilized in the third and fourth years. After 3 years, the value of Tg stabilized (-48.6 mg/dl, -32.4%, P < 0.01 vs baseline, and P < 0.05 vs 1 year) and -4.8 mg/dl (-4.5%) compared with the second year; after 4 years (-46.4 mg/dl, -31.0%, P < 0.01 vs baseline, and P < 0.05 vs 1 year) there was a slight and nonsignificant increase of 2.2 mg/dl (2.2%) compared with the third year. Regarding adverse events, both drugs were well tolerated. CONCLUSIONS: We showed that PCSK9 inhibitors are well tolerated and provide long-term significant LDL-C lowering in individuals with hyperlipidemia.

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More than 7 thousand wildfires were recorded over Mexico in 2019, affecting almost 640 thousand hectares. Most of these fires occurred during the spring season generating dense smoke plumes, impacting urban areas in the central part of the Mexican plateau. From May 10 to 17, 2019, biomass burning (BB) plumes affected Mexico City (MC) and diffused across the basin, producing PM2.5 levels ~ 2 times higher than the nation's air quality standards. Average PM2.5 concentrations increased sharply from 29.4 ± 7.2 µg m-3 to 65.1 ± 13.6 µg m-3 when the dense smoke plumes were detected. The higher particle concentration impacted the aerosol optical depth (AOD) as values ~ 3 times greater than the annual mean (0.32 ± 0.12) were measured, which resulted in a 17% loss of global horizontal irradiation (GHI). Under these severe pollution conditions, the visibility (Va) was reduced by ~ 80%. The high incidence of strong absorbent particles, such as soot and tarballs was revealed through electron microscopy and X-ray fluorescence (XRF) analysis. These techniques show chemical similarities between MC aerosols and those from the high-altitude (~ 4010 m. a. g. l.) Altzomoni Atmospheric Observatory, evidencing a strong influence of the BB emissions, suggesting a regional transport of these pollutants.

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AIMS: Type 1 diabetes (T1D) is a growing chronic disease. Evidence of whether the healthcare setting affects management and glycemic control is scarce. We evaluate outcomes in patients with T1D in private and public healthcare settings in Mexico, registered in the National T1D Registry in Mexico (RENACED-DT1). METHODS: Biochemical parameters, diabetes education, and treatment were analyzed considering the data registered in the last visit. Development of chronic complications was determined during follow-up. RESULTS: We included 1,603 patients; 71.5% (n = 1,146) registered in the public system, and 28.5% (n = 457) in a private institution. Patients in the public setting had higher HbA1c (8.6%, IQR: 7.3%-10.5% vs 7.7%, IQR: 7.0%-8.8%; p < 0.001). Indicators of diabetes education, glucose monitoring, and use of insulin-pumps were lower in the public setting. Patients in the public setting were at higher risk of diabetic chronic kidney disease, retinopathy, and neuropathy. Diabetes knowledge was a mediator between type of healthcare setting and the likelihood of achieving glycemic control. CONCLUSIONS: Patients registered in public healthcare settings have an adverse metabolic profile and higher risk of complications. Social factors need to be addressed in order to implement multidisciplinary measures focused on diabetes education for patients with T1D in Mexico.

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In several countries, hail is considered as the most harmful climatic phenomenon from an agricultural perspective. The surroundings of the Gallocanta Lake (North-East Spain), is one of the areas where the storms affecting the Ebro Valley are formed. For this reason, silver iodide from hail suppression systems has been emitted to the atmosphere for half a century. Nowadays, there is an increasing social concern about the potential environmental consequences of this activity, which has promoted the analysis of the influence of hail suppression systems regarding the amount of silver concentration in the ecosystem. This study focuses on silver atmospheric deposition and its accumulation in soils. To this end, silver concentrations in rainfall (5 gauges, 16 samples per site, from April 2017 to March 2019) and soils (72 samples) distributed across the hail suppression network managed by the Anti-hail Consortium of Aragón, were analysed. The results show that the amount of silver is much higher in rainfall gauges and soils close to ground-based silver iodide generators (85 µg/m2·day and 10 mg/kg soil, respectively), but concentrations considerably decrease when samples are collected far from them (downing to 0.3 µg/m2·day and 0.1 mg/kg soil). Apart from the samples obtained nearby silver iodide generators, most of the other soil samples display silver concentrations below the legal threshold established for the most vulnerable activities (1 mg/kg soil in agricultural and forestry land uses). Nevertheless, silver content, both in precipitation and in soils, is higher in regions where hail suppression has been developed for decades when compared to nearby areas in which silver iodide emissions did not occur. Silver content observed in soils is not high, but their cumulative effect in sediments and biota should be analysed, which is the aim of the second part of the present study.

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SUMMARY: The web platform 3DBionotes-WS integrates multiple web services and an interactive web viewer to provide a unified environment in which biological annotations can be analyzed in their structural context. Since the COVID-19 outbreak, new structural data from many viral proteins have been provided at a very fast pace. This effort includes many cryogenic electron microscopy (cryo-EM) studies, together with more traditional ones (X-rays, NMR), using several modeling approaches and complemented with structural predictions. At the same time, a plethora of new genomics and interactomics information (including fragment screening and structure-based virtual screening efforts) have been made available from different servers. In this context, we have developed 3DBionotes-COVID-19 as an answer to: (i) the need to explore multiomics data in a unified context with a special focus on structural information and (ii) the drive to incorporate quality measurements, especially in the form of advanced validation metrics for cryo-EM. AVAILABILITY AND IMPLEMENTATION: https://3dbionotes.cnb.csic.es/ws/covid19. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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Lack of a dedicated integrated pipeline for neoantigen discovery in mice hinders cancer immunotherapy research. Novel sequential approaches through recurrent neural networks can improve the accuracy of T-cell epitope binding affinity predictions in mice, and a simplified variant selection process can reduce operational requirements. We have developed a web server tool (NAP-CNB) for a full and automatic pipeline based on recurrent neural networks, to predict putative neoantigens from tumoral RNA sequencing reads. The developed software can estimate H-2 peptide ligands, with an AUC comparable or superior to state-of-the-art methods, directly from tumor samples. As a proof-of-concept, we used the B16 melanoma model to test the system's predictive capabilities, and we report its putative neoantigens. NAP-CNB web server is freely available at http://biocomp.cnb.csic.es/NeoantigensApp/ with scripts and datasets accessible through the download section.

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