Dinámica de enfermedades autoinmunes
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2024
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Abstract
Se conoce como nefritis lúpica (NL) a la enfermedad que se produce cuando el lupus eritematoso sistémico (LES) afecta a los riñones, lo que provoca su inflamación y puede desembocar en una enfermedad renal crónica. En este estudio, basado en [1], se recoge el desarrollo de un modelo de inflamación renal usando biomarcadores de NL. El modelo consiste en un sistema de ecuaciones diferenciales, que muestra, de manera simplificada, las interacciones entre los biomarcadores y otras variables que afectan a la enfermedad. Usando este modelo, se consigue estimar parámetros específicos para reproducir la dinámica de la enfermedad, entender sus mecanismos y analizar los brotes renales. Se muestra que la combinación efectiva de datos clínicos y modelización matemática puede proporcionar una base para mejorar los cuidados y los tratamientos de los pacientes que padecen NL.
The disease that manifests when systemic lupus erythematosus (SLE) affects the kidneys is known as lupus nephritis (LN), which triggers kidney inflammation and can result in a chronic renal disease. This study, based on [1], reviews the development of a model of kidney inflammation, using human LN biomarkers. The model consists in a system of differential equations, that show, in a simplified way, interactions between biomarkers and other model variables that affect the disease. Using this model, it is possible to estimate specific parameters relevant to the disease dynamics, understand disease mechanisms and analyse renal flares. It is shown that the effective combination of clinical data and mathematical modelling can provide a basis for improving the treatment and care of patients suffering from LN.
The disease that manifests when systemic lupus erythematosus (SLE) affects the kidneys is known as lupus nephritis (LN), which triggers kidney inflammation and can result in a chronic renal disease. This study, based on [1], reviews the development of a model of kidney inflammation, using human LN biomarkers. The model consists in a system of differential equations, that show, in a simplified way, interactions between biomarkers and other model variables that affect the disease. Using this model, it is possible to estimate specific parameters relevant to the disease dynamics, understand disease mechanisms and analyse renal flares. It is shown that the effective combination of clinical data and mathematical modelling can provide a basis for improving the treatment and care of patients suffering from LN.