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Xuewen Xiao1, Xinxin Liao1, Yiliang Liu1

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|December 23, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Las puntuaciones de riesgo poligénico y las variantes raras en ABCA7, ECSIT y ADPRHL1 están relacionadas con el riesgo y los biomarcadores de la enfermedad de Alzheimer (EA). Esta investigación ofrece nuevas perspectivas sobre la fisiopatología de la EA y posibles dianas diagnósticas.

Palabras clave:
puntuación de riesgo poligénicovariantes rarasenfermedad de AlzheimerABCA7ECSITADPRHL1biomarcadoresfisiopatología

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Área de la Ciencia:

  • Genética; Neurociencia; Descubrimiento de biomarcadores

Sus antecedentes:

  • La genética influye significativamente en los rasgos de biomarcadores de la enfermedad de Alzheimer (EA), pero los factores genéticos específicos no se comprenden bien.; La investigación de las contribuciones genéticas es crucial para comprender la fisiopatología de la EA y desarrollar intervenciones efectivas.

Objetivo del estudio:

  • Explorar los fundamentos genéticos de los rasgos de biomarcadores de la enfermedad de Alzheimer (EA).; Identificar variantes genéticas novedosas y puntuaciones de riesgo poligénico asociadas con el riesgo de EA y biomarcadores clave.

Principales métodos:

  • Se realizó una secuenciación del genoma completo en 3.707 individuos (1.697 pacientes con EA, 2.010 controles).; Se realizaron análisis de asociación para variantes genéticas comunes y raras con rasgos de biomarcadores de EA, incluidos biomarcadores del líquido cefalorraquídeo (LCR) y del plasma.; Se desarrolló una puntuación de riesgo poligénico (PRS) y se evaluó su asociación con el riesgo de EA y los niveles de biomarcadores.

Principales resultados:

  • La PRS demostró asociaciones significativas con un mayor riesgo de EA, puntuaciones más bajas del Mini-Mental State Examination (MMSE) y niveles elevados de p-tau217 y GFAP en plasma.; Los análisis de variantes raras basados en genes identificaron tres genes novedosos (ABCA7, ECSIT, ADPRHL1) asociados con significancia en todo el genoma para rasgos específicos de biomarcadores de EA.; Las variantes dañinas raras en ABCA7 se relacionaron con las puntuaciones del MMSE, ECSIT con el Aβ42 del LCR y ADPRHL1 con el GFAP en plasma.

Conclusiones:

  • Tanto las puntuaciones de riesgo poligénico como las variantes raras en ABCA7, ECSIT y ADPRHL1 contribuyen significativamente a los rasgos de biomarcadores de la enfermedad de Alzheimer.; Estos hallazgos mejoran nuestra comprensión de la fisiopatología de la EA.; Los factores genéticos identificados pueden representar dianas novedosas para las estrategias de diagnóstico y terapéuticas de la EA.