Evolution of the Concepts of Architecture and Supramolecular Dynamics of the Plasma Membrane.

The plasma membrane (PM) has undergone important conceptual changes during the history of scientific research, although it is undoubtedly a cellular organelle that constitutes the first defining characteristic of cellular life. Throughout history, the contributions of countless scientists have been published, each one of them with an enriching contribution to the knowledge of the structure-location and function of each structural component of this organelle, as well as the interaction between these and other structures. The first published contributions on the plasmatic membrane were the transport through it followed by the description of the structure: lipid bilayer, associated proteins, carbohydrates bound to both macromolecules, association with the cytoskeleton and dynamics of these components.. The data obtained experimentally from each researcher were represented in graphic configurations, as a language that facilitates the understanding of cellular structures and processes. This paper presents a review of some of the concepts and models proposed about the plasma membrane, emphasizing the components, the structure, the interaction between them and the dynamics. The work is illustrated with resignified 3D diagrams to visualize the changes that occurred during the history of the study of this organelle. Schemes were redrawn in 3D from the original articles...

Predicción de diabetes mellitus basada en el índice triglicéridos y glucosa / Diabetes mellitus prediction based on the triglyceride and glucose index

Introducción: En México la diabetes mellitus tipo 2 (DM2) presenta niveles epidemiológicos, con una tasa de prevalencia del 9,12% y con los índices de sobrepeso y obesidad más altos del mundo. Para superar esta situación se deben crear estrategias enfocadas en la identificación de sujetos en riesgo. El índice triglicéridos y glucosa (TyG) fue creado para la detección de la resistencia a la insulina, y recientemente se ha empleado en la predicción de diabetes mellitus. El objetivo del presente estudio fue determinar el poder predictivo del índice TyG en una cohorte de la Ciudad de México.MétodosSe seleccionaron 3.195 pacientes de una cohorte de pacientes del área de crónico degenerativos de los Centros de Salud de los Servicios de Salud Pública de la Ciudad de México. Se evaluó la capacidad del índice TyG en la predicción de diabetes calculado como: ln (triglicéridos en ayunas [mg/dl]×glucosa en ayunas [mg/dl]/2) después de un seguimiento de al menos 4,5 años. Se determinó una prueba Chi-squared automated interaction detector analysis, que fue corroborada por una prueba ROC.ResultadosEl valor del índice de TyG fue significativamente mayor para los pacientes que desarrollar DM2. Los valores de área bajo la curva=0,934, intervalo de confianza (IC) 95%=0,924-0,924. Obteniendo un punto de corte de 9,45 en mujeres; en hombres: DM AUC=0.824, IC 95%=0,824-0,873 punto de corte 9.12.ConclusionesEl índice TyG es un buen marcador en la predicción de DM2 respaldado por la aplicación del algoritmo CHAID como herramienta útil para la predicción de DM2. (AU)

Introduction: In Mexico, type 2 Diabetes mellitus (DM2) presents epidemiological levels with a prevalence rate of 9.12% and with the highest overweight and obesity rates worldwide. To overcome this situation, strategies must be created focused on the identification of subjects at risk. The Triglyceride and Glucose (TyG) index, was created for the detection of insulin resistance, has recently been used in the prediction of DM. The objective of the present study was to determine the predictive power of the TyG index in a cohort from Mexico City.Methods3195 patients were selected from a cohort of patients from the chronic degenerative area of the Health Centers of the Public Health Services of Mexico City. The ability of the TyG index in predicting diabetes was evaluated as: ln [Fasting triglycerides (mg/dl) x fasting glucose (mg/dl)/2]. after a follow-up of at least 4.5 years. A CHAID test was determined that was corroborated by a ROC test.Resultsthe value of the TyG index was significantly higher for patients who develop DM2. Values of AUC=0.934, 95% CI: 0.924-0.924. Obtaining a cut-off point of 9.45 in women; in men: DM2 AUC=0.824, 95% CI: 0.824-0.873, and cut-off point 9.12.ConclusionsThe TyG index is a good marker in the prediction of DM2. The CHAID determination is a useful tool in the prediction of DM2. (AU)

[Diabetes mellitus prediction based on the triglyceride and glucose index]. / Predicción de diabetes mellitus basada en el índice triglicéridos y glucosa.

INTRODUCTION: In Mexico, type 2 Diabetes mellitus (DM2) presents epidemiological levels with a prevalence rate of 9.12% and with the highest overweight and obesity rates worldwide. To overcome this situation, strategies must be created focused on the identification of subjects at risk. The Triglyceride and Glucose (TyG) index, was created for the detection of insulin resistance, has recently been used in the prediction of DM. The objective of the present study was to determine the predictive power of the TyG index in a cohort from Mexico City. METHODS: 3195 patients were selected from a cohort of patients from the chronic degenerative area of the Health Centers of the Public Health Services of Mexico City. The ability of the TyG index in predicting diabetes was evaluated as: ln [Fasting triglycerides (mg/dl) x fasting glucose (mg/dl)/2]. after a follow-up of at least 4.5 years. A CHAID test was determined that was corroborated by a ROC test. RESULTS: the value of the TyG index was significantly higher for patients who develop DM2. Values of AUC=0.934, 95% CI: 0.924-0.924. Obtaining a cut-off point of 9.45 in women; in men: DM2 AUC=0.824, 95% CI: 0.824-0.873, and cut-off point 9.12. CONCLUSIONS: The TyG index is a good marker in the prediction of DM2. The CHAID determination is a useful tool in the prediction of DM2.