Repeated horizontal acquisition of lagriamide-producing symbionts in Lagriinae beetles.

Microbial symbionts associate with multicellular organisms on a continuum from facultative associations to mutual codependency. In some of the oldest intracellular symbioses there is exclusive vertical symbiont transmission, and co-diversification of symbiotic partners over millions of years. Such symbionts often undergo genome reduction due to low effective population sizes, frequent population bottlenecks, and reduced purifying selection. Here, we describe multiple independent acquisition events of closely related defensive symbionts followed by genome erosion in a group of Lagriinae beetles. Previous work in Lagria villosa revealed the dominant genome-eroded symbiont of the genus Burkholderia produces the antifungal compound lagriamide and protects the beetle's eggs and larvae from antagonistic fungi. Here, we use metagenomics to assemble 11 additional genomes of lagriamide-producing symbionts from seven different host species within Lagriinae from five countries, to unravel the evolutionary history of this symbiotic relationship. In each host species, we detected one dominant genome-eroded Burkholderia symbiont encoding the lagriamide biosynthetic gene cluster (BGC). Surprisingly, however, we did not find evidence for host-symbiont co-diversification, or for a monophyly of the lagriamide-producing symbionts. Instead, our analyses support at least four independent acquisition events of lagriamide-encoding symbionts and subsequent genome erosion in each of these lineages. By contrast, a clade of plant-associated relatives retained large genomes but secondarily lost the lagriamide BGC. In conclusion, our results reveal a dynamic evolutionary history with multiple independent symbiont acquisitions characterized by high degree of specificity. They highlight the importance of the specialized metabolite lagriamide for the establishment and maintenance of this defensive symbiosis.

The Interplay of Sports and Nutrition in Neurological Health and Recovery.

This comprehensive review explores the dynamic relationship between sports, nutrition, and neurological health. Focusing on recent clinical advancements, it examines how physical activity and dietary practices influence the prevention, treatment, and rehabilitation of various neurological conditions. The review highlights the role of neuroimaging in understanding these interactions, discusses emerging technologies in neurotherapeutic interventions, and evaluates the efficacy of sports and nutritional strategies in enhancing neurological recovery. This synthesis of current knowledge aims to provide a deeper understanding of how lifestyle factors can be integrated into clinical practices to improve neurological outcomes.

Personalizing Nutrition Strategies: Bridging Research and Public Health.

In recent years, although life expectancy has increased significantly, non-communicable diseases (NCDs) continue to pose a significant threat to the health of the global population. Therefore, eating habits have been recognized as key modifiable factors that influence people's health and well-being. For this reason, it is interesting to study dietary patterns, since the human diet is a complex mixture of macronutrients, micronutrients, and bioactive compounds, and can modulate multiple physiological processes, including immune function, the metabolism, and inflammation. To ensure that the data we acquired were current and relevant, we searched primary and secondary sources, including scientific journals, bibliographic indexes, and databases in the last 15 years with the most relevant articles. After this search, we observed that all the recent research on NCDs suggests that diet is a critical factor in shaping an individual's health outcomes. Thus, cardiovascular, metabolic, mental, dental, and visual health depends largely on the intake, habits and patterns, and nutritional behaviors. A diet high in processed and refined foods, added sugars, and saturated fats can increase the risk of developing chronic diseases. On the other hand, a diet rich in whole, nutrient-dense foods, such as vegetables, fruits, nuts, legumes, and a high adherence to Mediterranean diet can improve health's people.

Microbiota Implications in Endocrine-Related Diseases: From Development to Novel Therapeutic Approaches.

This comprehensive review article delves into the critical role of the human microbiota in the development and management of endocrine-related diseases. We explore the complex interactions between the microbiota and the endocrine system, emphasizing the implications of microbiota dysbiosis for the onset and progression of various endocrine disorders. The review aims to synthesize current knowledge, highlighting recent advancements and the potential of novel therapeutic approaches targeting microbiota-endocrine interactions. Key topics include the impact of microbiota on hormone regulation, its role in endocrine pathologies, and the promising avenues of microbiota modulation through diet, probiotics, prebiotics, and fecal microbiota transplantation. We underscore the importance of this research in advancing personalized medicine, offering insights for more tailored and effective treatments for endocrine-related diseases.

Dynamic prediction of malignant ventricular arrhythmias using neural networks in patients with an implantable cardioverter-defibrillator.

BACKGROUND: Risk stratification for ventricular arrhythmias currently relies on static measurements that fail to adequately capture dynamic interactions between arrhythmic substrate and triggers over time. We trained and internally validated a dynamic machine learning (ML) model and neural network that extracted features from longitudinally collected electrocardiograms (ECG), and used these to predict the risk of malignant ventricular arrhythmias. METHODS: A multicentre study in patients implanted with an implantable cardioverter-defibrillator (ICD) between 2007 and 2021 in two academic hospitals was performed. Variational autoencoders (VAEs), which combine neural networks with variational inference principles, and can learn patterns and structure in data without explicit labelling, were trained to encode the mean ECG waveforms from the limb leads into 16 variables. Supervised dynamic ML models using these latent ECG representations and clinical baseline information were trained to predict malignant ventricular arrhythmias treated by the ICD. Model performance was evaluated on a hold-out set, using time-dependent receiver operating characteristic (ROC) and calibration curves. FINDINGS: 2942 patients (61.7 ± 13.9 years, 25.5% female) were included, with a total of 32,129 ECG recordings during a mean follow-up of 43.9 ± 35.9 months. The mean time-varying area under the ROC curve for the dynamic model was 0.738 ± 0.07, compared to 0.639 ± 0.03 for a static (i.e. baseline-only model). Feature analyses indicated dynamic changes in latent ECG representations, particularly those affecting the T-wave morphology, were of highest importance for model predictions. INTERPRETATION: Dynamic ML models and neural networks effectively leverage routinely collected longitudinal ECG recordings for personalised and updated predictions of malignant ventricular arrhythmias, outperforming static models. FUNDING: This publication is part of the project DEEP RISK ICD (with project number 452019308) of the research programme Rubicon which is (partly) financed by the Dutch Research Council (NWO). This research is partly funded by the Amsterdam Cardiovascular Sciences (personal grant F.V.Y.T).

Validación clínica de la prueba RT-LAMP para el diagnóstico rápido del SARS-CoV-2 / Clinical validation of the isothermal RT-LAMP test for rapid diagnosis of SARS-CoV-2

Introducción. Desde el primer reporte en la provincia de Wuhan (China) en el año 2019, el SARS-CoV-2 se ha diseminado por todo el mundo, provocando un enorme impacto en la salud pública. Para su diagnóstico, la Organización Mundial de la Salud ha incentivado el desarrollo de pruebas rápidas, de simple ejecución, sensibles y específicas, que complementan la RT-qPCR como prueba de referencia. La prueba RT-LAMP ha mostrado ser una excelente alternativa para la detección del SARS-CoV-2 en diferentes biofluidos. Objetivo. Validar la técnica RT-LAMP colorimétrica en muestras de hisopado nasofaríngeo previamente confirmadas por RT-qPCR, usando el protocolo Charité, Berlín, Alemania. Materiales y métodos. Un total de 153 muestras de hisopado nasofaríngeo de individuos con sospecha de COVID-19 se sometieron a RT-qPCR y RT-LAMP, usando un estuche comercial colorimétrico (NEB, Germany). La RT-LAMP se practicó con las muestras de ARN extraídas del hisopado nasofaríngeo y con muestras crudas sin previa extracción de ARN. El resultado fue evaluado por un simple cambio de color en la reacción. Resultados. La sensibilidad y especificidad de la técnica RT-LAMP para detectar el gen N del SARS-CoV-2 mediante un set de cebadores previamente reportados (set de Broughton), arrojó valores de 0,97 (0,85-1,00) y 0,81 (0,65-0,92), respectivamente, con un intervalo de confianza del 95%. Otro set de cebadores dirigidos contra otra región del mismo gen (set de Lalli) arrojó valores de sensibilidad y especificidad de 0,96 (0,78-1,00) y 0,77 (0,55-0,92), respectivamente. Sin previa extracción de ARN, se encontró que la sensibilidad fue del 0,95 (0,74-1,00) y la especificidad del 0,88 (0,64-0,99). Conclusiones. Estos resultados evidencian que la técnica RT-LAMP podría considerarse una prueba diagnóstica rápida, de fácil ejecución, libre de equipos sofisticados, sensible y específica, para el diagnóstico del SARS-CoV-2 en muestras de hisopados nasofaríngeos.

Introduction: Since the first report in Wuhan (China) in 2019, the SARS-CoV-2 virus has spread throughout the world, with a significant impact in public health. To contain its transmission, the WHO has encouraged the development of rapid, simple, sensitive and specific tests that complement qRT-PCR, as the gold standard. RT-LAMP has shown to be a good alternative to detect SARS-CoV-2 in different fluid samples. Objective: To validate the colorimetric RT-LAMP technique using two sets of primers targeting N gene of SARS-CoV-2 in 117 nasopharyngeal swab samples previously confirmed by RT-qPCR, using the Charité/Berlin protocol. Material and methods: A total of 153 nasopharyngeal swab samples from individuals with suspected COVID-19 were subjected to qRT-PCR and RT-LAMP using a commercial colorimetric kit (NEB, Germany). RT-LAMP was performed using both extracted RNA samples and raw samples without prior RNA extraction, and the result was assessed by a simple color change in the reaction. Results: Sensitivity and specificity for the previously reported RT-LAMP primers (Broughton set) targeting N gene of SARS-CoV-2 were 0.97 (0.85-1.00) and 0.81 (0.65-0.92) respectively, with CI95%. The Lalli primers targeting another region of the N gene used showed a sensitivity value of 0.96 (0.78-1.00) and a specificity of 0.77 (0.55-0.92). Without RNA extraction we found a sensitivity value of 0.95 (0.74, 1.00) and a specificity of 0.88 (0.64, 0.99). A sensitivity value of 0.95 (0.74-1.00) and a specificity 0.88 (0.64-0.99) were found without prior RNA extraction. Conclusion: Taking together, the results showed that RT-LAMP technique could be considered as a rapid diagnostic test, easy to perform, free of sophisticated equipment, sensitive and specific to diagnose SARS-CoV-2 in nasopharyngeal swabs with and without prior RNA extraction, allowing its implementation in places with scarce resources.

Reflexión sobre la incidencia de la desigualdad social en la salud mental de los jóvenes del barrio El Recreo del municipio de San Andrés de Cuerquia ­ Antioquia (2019-2020): una adicción o un patrón de relación inadecuado / Reflection on the incidence of social inequality in the mental health of young people in the El Recreo neighborhood of the municipality of San Andrés de Cuerquia-Antioquia (2019-2020)

Este artículo presenta una reflexión alrededor de un ejercicio de corte investigativo, desarrollado por el semillero de investigación: Trabajo Social, Calidad de Vida y Bienestar, perteneciente al programa de Trabajo Social de la Universidad Católica Luis Amigó. El tema central es explorar la incidencia de la desigualdad social en la salud mental de los jóvenes del municipio de San Andrés de Cuerquia, Antioquia, durante el primer semestre de 2020.

This article presents a reflection on an academic exercise, developed by the research lab: Social Work, Quality of Life and Well-being, belonging to the Social Work program of the Universidad Católica Luis Amigó. The central theme of this academic exercise consisted of exploring the incidence of social inequality in the mental health of young people in the municipality of San Andrés de Cuerquia, Antioquia, during the first semester of 2020