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Gleb Bezgin1,2, Nesrine Rahmouni1, Ryuichi Harada3

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|December 25, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio comparó dos métodos de cuantificación de imágenes PET, la relación de volumen de distribución (DVR) y la relación de valor de captación estandarizado (SUVR), para la enfermedad de Alzheimer (EA) utilizando el trazador MAO-B SMBT-1. Ambos métodos mostraron asociaciones con biomarcadores de fluidos de EA, y la DVR ofreció una mayor diferenciación de grupos de diagnóstico.

Palabras clave:
Enfermedad de AlzheimerNeuroimagenBiomarcadoresPETSMBT-1DVRSUVRGFAPp-tau

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Área de la Ciencia:

  • Neuroimagen
  • Descubrimiento de biomarcadores
  • Investigación de la enfermedad de Alzheimer

Sus antecedentes:

  • La astrogliosis, un sello distintivo de la enfermedad de Alzheimer (EA), implica la desregulación de la monoamino oxidasa B (MAO-B).
  • SMBT-1 es un nuevo trazador de PET para la obtención de imágenes de MAO-B, relevante para el diagnóstico de la EA.
  • Este estudio investiga las imágenes de PET con SMBT-1 en una cohorte de EA, comparando los métodos de cuantificación y los biomarcadores plasmáticos.

Objetivo del estudio:

  • Comparar los métodos de cuantificación de la relación de volumen de distribución (DVR) y la relación de valor de captación estandarizado (SUVR) para la obtención de imágenes PET con SMBT-1 en sujetos del espectro de la enfermedad de Alzheimer.
  • Explorar las asociaciones entre las métricas de PET con SMBT-1 (DVR y SUVR) y los biomarcadores plasmáticos, incluidos GFAP, p-tau217, p-tau231, Abeta42/40 e YKL-40.
  • Evaluar la utilidad de las imágenes PET con SMBT-1 en la diferenciación de grupos de diagnóstico dentro del espectro de la EA.

Principales métodos:

  • Se realizaron imágenes de PET con SMBT-1 en 22 sujetos (9 cognitivamente normales, 5 con DCL, 8 con patología no de EA) utilizando HRRT.
  • Las imágenes de PET se cuantificaron utilizando la relación de volumen de distribución (DVR) y la relación de valor de captación estandarizado (SUVR) con la sustancia gris cerebelosa como región de referencia.
  • Los biomarcadores plasmáticos (GFAP, p-tau-217, p-tau-231, Abeta40, Abeta42, YKL-40) se midieron utilizando NULISA, y las asociaciones con las métricas de PET se analizaron utilizando VoxelStats.

Principales resultados:

  • Los sujetos con deterioro cognitivo leve (DCL) exhibieron una retención más sostenida del trazador SMBT-1 y valores de DVR más altos en comparación con los sujetos cognitivamente normales (CN).
  • Tanto la DVR como la SUVR capturaron consistentemente asociaciones entre los datos de PET y los biomarcadores plasmáticos como GFAP, p-tau217 y p-tau231.
  • GFAP mostró una correlación significativa con la SUVR promedio de la corteza cerebral, mientras que YKL-40 se asoció con la sustancia blanca periventricular.
  • Abeta42/40 mostró una asociación marginal con la DVR.
  • La DVR demostró una mayor diferenciación entre los grupos de diagnóstico que la SUVR.

Conclusiones:

  • Las imágenes de PET con SMBT-1 revelan asociaciones con biomarcadores de fluidos clave de la enfermedad de Alzheimer, consistentes entre los métodos de cuantificación DVR y SUVR.
  • Si bien tanto la DVR como la SUVR proporcionan información valiosa, ofrecen perspectivas complementarias sobre las asociaciones diagnósticas.
  • Se recomiendan estudios adicionales con tamaños de muestra ampliados para mejorar la potencia estadística y confirmar estos hallazgos preliminares.