Caracterización bioquímica de lectinas de semillas de Lupinus mutabilis sweet (tarwi) y evaluación de su potencial inmunomodulador sobre leucocitos polimorfonucleares humanos de sangre periférica

Publicación a texto completo no autorizada por el autorAnaliza la extracción y purificación de lectinas de semillas de Lupinus mutabilis del ecotipo Patón Grande, se evalúa su actividad hemaglutinante, se caracteriza bioquímicamente y se determina su efecto sobre leucocitos polimorfonucleares.Tesi

Connected Insulin Pens and Caps : An Expert's Recommendation from the Area of Diabetes of the Spanish Endocrinology and Nutrition Society (SEEN)

Undoubtedly, technological advances have revolutionised diabetes management in recent years. The development of advanced closed hybrid loop insulin pumps or continuous glucose monitoring (CGM) systems, among others, have increased the quality of life and improved glycaemic control of people with diabetes. However, only some patients have access to such technology, and only some want to use it. CGM has become much more widespread, but in terms of insulin delivery, most people with type 1 diabetes (T1D) and almost all people with type 2 diabetes (T2D) on insulin therapy are treated with multiple-dose insulin injections (MDI) rather than an insulin pump. For these patients, using connected insulin pens or caps has shown benefits in reducing missed insulin injections and promoting correct administration over time. In addition, using these devices improves the quality of life and user satisfaction. The integration of insulin injection and CGM data facilitates both users and the healthcare team to analyse glucose control and implement appropriate therapeutic changes, reducing therapeutic inertia. This expert's recommendation reviews the characteristics of the devices marketed or in the process of being marketed and their available scientific evidence. Finally, it suggests the profile of users and professionals who would benefit most, the barriers to its generalisation and the changes in the care model that implementing these devices can bring with it

ANÁLISIS FILOGENÉTICO Y DE DOCKING MOLECULAR DE LA PROTEÍNA CONGLUTINA γ DE Lupinus albus Y SU INTERACCIÓN CON EL RECEPTOR DE INSULINA HUMANA

Realizar un análisis de las relaciones filogenéticas de la conglutina gamma de L. albus con otras proteínas vegetales y evaluar mediante docking molecular su interacción con moléculas relacionadas al control de la glicemia. Materiales y métodos: Se evaluaron las secuencias de aminoácidos del GenBank mediante BLAST, del cual se obtuvieron similitudes del 20% a 80%. Se usó la aplicación ModelGenerator_v_85 para encontrar el mejor modelo de sustitución y el servidor PHYML para generar un árbol de máxima verosimilitud. Se modeló la proteína en su forma monomérica con Phyre2. Se descargaron del PDB estructuras de insulina humana y relacionadas, se refinaron con 3DRefine y se prepararon con Chimera 1.10.2 para docking. Los análisis de docking se realizaron en ClusPro y se compararon las energías mínimas de los 3 mejores modelos elegidos por CONSRANK. Resultados: Las secuencias de la proteína con el 20-80% de aminoácidos conservados con la conglutina γ fueron obtenidas de GenBank. Los modelos de la substitución y la predicción de la estructura tridimensional fueron obtenidos usando ModelGenerator y Phyre2, respectivamente; usando la forma monómero de conglutina γ. El árbol filogenético de máxima verosimilitud fue construida usando PHYML, lo que demuestra que la secuencia de aminoácidos de la conglutina γ se encuentra agrupado más cercanamente a las globulinas básicas 7S de Glicine max y Morus notabilis. Para el análisis de docking molecular de la conglutina γ, se descargaron los archivos PDB de la insulina humana y las diferentes moléculas relacionadas (insulina unida al factor de crecimiento I y II, receptor humano de la insulina), refinado con 3DRefine y preparado usando Chimera. El acoplamiento molecular fue realizado en ClusPro y la energía mínima de los mejores modelos seleccionados por CONSRANK fue comparada. Esta simulación demuestra los valores de una predicción de unión altamente notable solamente con el receptor humano de la insulina.Conclusiones: La conglutina γ de Lupinus albus es una proteína con una baja conservación de aminoácidos fuera del grupo de los Lupinos, su forma monomérica presenta una alta probabilidad de la interacción con el receptor de insulina humana. Esto es una evidencia adicional para su acción de la insulino-mimético que refuerza su uso en el cotratamiento con metformina. Palabras clave: modelamiento, conglutina, hiperglucemia, docking molecular, máxima verosimilitud

Summary of bioinformatic analyses for patients at T3.

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Insights into next generation sequencing guided antibody selection strategies

Abstract Therapeutic antibody discovery often relies on in-vitro display methods to identify lead candidates. Assessing selected output diversity traditionally involves random colony picking and Sanger sequencing, which has limitations. Next-generation sequencing (NGS) offers a cost-effective solution with increased read depth, allowing a comprehensive understanding of diversity. Our study establishes NGS guidelines for antibody drug discovery, demonstrating its advantages in expanding the number of unique HCDR3 clusters, broadening the number of high affinity antibodies, expanding the total number of antibodies recognizing different epitopes, and improving lead prioritization. Surprisingly, our investigation into the correlation between NGS-derived frequencies of CDRs and affinity revealed a lack of association, although this limitation could be moderately mitigated by leveraging NGS clustering, enrichment and/or relative abundance across different regions to enhance lead prioritization. This study highlights NGS benefits, offering insights, recommendations, and the most effective approach to leverage NGS in therapeutic antibody discovery

The cognitive and psychiatric subacute impairment in severe Covid-19.

Neurologic impairment persisting months after acute severe SARS-CoV-2 infection has been described because of several pathogenic mechanisms, including persistent systemic inflammation. The objective of this study is to analyze the selective involvement of the different cognitive domains and the existence of related biomarkers. Cross-sectional multicentric study of patients who survived severe infection with SARS-CoV-2 consecutively recruited between 90 and 120 days after hospital discharge. All patients underwent an exhaustive study of cognitive functions as well as plasma determination of pro-inflammatory, neurotrophic factors and light-chain neurofilaments. A principal component analysis extracted the main independent characteristics of the syndrome. 152 patients were recruited. The results of our study preferential involvement of episodic and working memory, executive functions, and attention and relatively less affectation of other cortical functions. In addition, anxiety and depression pictures are constant in our cohort. Several plasma chemokines concentrations were elevated compared with both, a non-SARS-Cov2 infected cohort of neurological outpatients or a control healthy general population. Severe Covid-19 patients can develop an amnesic and dysexecutive syndrome with neuropsychiatric manifestations. We do not know if the deficits detected can persist in the long term and if this can trigger or accelerate the onset of neurodegenerative diseases

Alirocumab and cardiovascular outcomes after acute coronary syndrome

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