Development of early prediction and discriminating techniques for Lewy body diseases

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  • Kawahata Ichiro
    Department of CNS Drug Innovation, Graduate School of Pharmaceutical Sciences, Tohoku University
  • Takeda Atsushi
    Department of CNS Drug Innovation, Graduate School of Pharmaceutical Sciences, Tohoku University
  • Fukunaga Kohji
    Department of CNS Drug Innovation, Graduate School of Pharmaceutical Sciences, Tohoku University

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Other Title
  • レビー小体病の早期予測と鑑別技術の開発戦略

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<p>The advent of a super-aged society poses urgent challenges in overcoming age-related neurological disorders and extending a healthy lifespan. Neurodegenerative diseases such as Alzheimer’s disease, dementia with Lewy bodies, and Parkinson’s disease are characterized by the accumulation of pathogenic proteins in the brain, leading to the formation of intracellular aggregates known as pathological hallmarks. In the early stages of protein accumulation, before the onset of clinical symptoms such as cognitive impairment or motor dysfunction, brain inflammation begins to occur. Subsequently, neuronal death progresses, and clinical symptoms manifest as dementia or Parkinson’s disease. Therefore, there is a need for early prediction of neurodegeneration and the development of disease-modifying drugs for pre-symptomatic prevention. To address this issue, we have focused on enhancing the degradation of amyloid-β protein by targeting Ca2+/calmodulin-dependent kinase II (CaMKII)/proteasome system and on suppressing the propagation and uptake mechanisms of α-synuclein by targeting fatty acid-binding proteins (FABPs) coupled with the long isoform of dopamine D2 (D2L) receptor. Additionally, our analysis of FABP knockout mice has revealed an increased expression of FABPs in the neurodegenerative process, suggesting their involvement in mitochondrial dysfunction and neuronal death. Based on these findings, this article highlights the physiological significance of FABP family proteins in neurodegeneration and discusses the analysis of plasma biomarkers for predicting neurodegenerative disorders and the discriminatory methods for distinguishing between Alzheimer’s disease, dementia with Lewy bodies, and Parkinson’s disease. Furthermore, we explore the potential of ultra-early prediction of neurodegenerative disorders.</p>

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