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Innovative pathological network-based multitarget approaches for Alzheimer's disease treatment.
Mayo, Paloma; Pascual, Jorge; Crisman, Enrique; Domínguez, Cristina; López, Manuela G; León, Rafael.
Afiliación
  • Mayo P; Departamento de desarrollo preclínico, Fundación Teófilo Hernando, Las Rozas, Madrid, Spain.
  • Pascual J; Departamento de Farmacología y Terapéutica, Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.
  • Crisman E; Instituto de Química Médica, Consejo Superior de Investigaciones Científicas (IQM-CSIC), Madrid, Spain.
  • Domínguez C; Departamento de desarrollo preclínico, Fundación Teófilo Hernando, Las Rozas, Madrid, Spain.
  • López MG; Instituto de Química Médica, Consejo Superior de Investigaciones Científicas (IQM-CSIC), Madrid, Spain.
  • León R; Instituto de Química Médica, Consejo Superior de Investigaciones Científicas (IQM-CSIC), Madrid, Spain.
Med Res Rev ; 2024 Apr 28.
Article en En | MEDLINE | ID: mdl-38678582
ABSTRACT
Alzheimer's disease (AD) is the most prevalent neurodegenerative disease and is a major health threat globally. Its prevalence is forecasted to exponentially increase during the next 30 years due to the global aging population. Currently, approved drugs are merely symptomatic, being ineffective in delaying or blocking the relentless disease advance. Intensive AD research describes this disease as a highly complex multifactorial disease. Disclosure of novel pathological pathways and their interconnections has had a major impact on medicinal chemistry drug development for AD over the last two decades. The complex network of pathological events involved in the onset of the disease has prompted the development of multitarget drugs. These chemical entities combine pharmacological activities toward two or more drug targets of interest. These multitarget-directed ligands are proposed to modify different nodes in the pathological network aiming to delay or even stop disease progression. Here, we review the multitarget drug development strategy for AD during the last decade.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Med Res Rev Año: 2024 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Med Res Rev Año: 2024 Tipo del documento: Article País de afiliación: España