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La multiplexación orientada a la patología permite el mapeo integrador de enfermedades
Malte Kuehl1,2,3,4,5, Yusuke Okabayashi6,7,8, Milagros N Wong9,10,11,12
1Department of Clinical Medicine, Aarhus University, Aarhus, Denmark. malte.kuehl@clin.au.dk.
Nature
|July 18, 2025
Resumen
La multiplexación orientada a la patología (PathoPlex) permite un análisis detallado de las proteínas en los tejidos, revelando los mecanismos de la enfermedad y las dianas terapéuticas en la enfermedad renal y la diabetes. Este marco avanzado de imágenes integra múltiples capas biológicas para una visión patológica completa.
Área de la Ciencia:
- Imágenes biomédicas
- Patología molecular
- Biología computacional
Sus antecedentes:
- La expresión y localización de proteínas son cruciales para comprender la salud y la enfermedad.
- Las técnicas actuales de imágenes multiplexadas enfrentan limitaciones en la integración de capas biológicas celulares y subcelulares debido a la composición del panel de anticuerpos y la resolución de la imagen.
- El análisis de las interacciones complejas de proteínas a través de diferentes escalas biológicas sigue siendo un desafío significativo en la patología.
Objetivo del estudio:
- Introducir PathoPlex, un marco escalable, controlado por calidad e interpretable para imágenes altamente multiplexadas con resolución subcelular.
- Desarrollar un paquete de software para extraer e interpretar patrones de coexpresión de proteínas a través de capas biológicas.
- Demostrar la utilidad de PathoPlex en la identificación de características patológicas y objetivos terapéuticos en la enfermedad renal y la diabetes.
Principales métodos:
- PathoPlex combina imágenes altamente multiplexadas (más de 140 anticuerpos a 80 nm / píxel, 95 ciclos) con un software especializado.
- El marco fue optimizado para el procesamiento de muestras de biopsia de archivo, permitiendo el análisis simultáneo de al menos 40 muestras.
- Se extrajeron y analizaron patrones de coexpresión de proteínas (agrupaciones) a través de dominios celulares y subcelulares.
Principales resultados:
- PathoPlex identificó la actividad epitelial de JUN como un factor clave en la enfermedad renal mediada por el sistema inmunológico.
- El análisis de la enfermedad renal diabética humana relacionó los grupos de proteínas a nivel del paciente con la disfunción de los órganos e identificó el estrés tubular mediado por el calcio como objetivo terapéutico.
- Se identificaron agrupaciones relacionadas con el estrés renal en individuos con diabetes tipo 2 sin enfermedad renal histológica, y se evaluaron las respuestas a los inhibidores de SGLT2.
Conclusiones:
- PathoPlex proporciona una solución potente y escalable para el análisis integrador de imágenes en tejidos complejos.
- El marco facilita la democratización de las imágenes multiplexadas, lo que permite una visión más profunda de los mecanismos de la enfermedad.
- PathoPlex apoya el desarrollo de atlas de patología de nueva generación y ayuda a identificar nuevas estrategias terapéuticas.
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