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Related Experiment Video

Updated: Jun 8, 2026

Saccharomyces cerevisiae Models of Alzheimer's Disease to Screen Genes, Mutations, and Chemicals Affecting Amyloid Beta Production by γ-Secretase
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[Surrogate marker for ABeta42].

Masayasu Okochi1, Shinji Tagami, Kanta Yanagida

  • 1Psychiatry Department of Integrated Medicine, Division of Internal Medicine, Osaka University Graduate School of Medicine, Suita, Japan. masaokochi@gmail.com

Nihon Shinkei Seishin Yakurigaku Zasshi = Japanese Journal of Psychopharmacology
|September 23, 2010
PubMed
Summary

Early prediction of Alzheimer disease (AD) is crucial for effective treatment. A newly discovered biomarker, APL1beta28, shows promise for detecting AD before symptom onset, enabling timely intervention.

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Area of Science:

  • Neuroscience
  • Biomarker Discovery
  • Neurodegenerative Diseases

Context:

  • Current Alzheimer disease (AD) treatments are ineffective post-onset due to irreversible neuronal damage.
  • Existing medications offer only symptomatic relief, failing to halt AD's pathological progression.
  • Next-generation AD therapies aim to inhibit disease pathology, necessitating early diagnosis.

Purpose:

  • To highlight the need for predictive methods for Alzheimer disease onset.
  • To introduce APL1beta28 as a potential biomarker for early AD detection.
  • To emphasize the limitations of current AD diagnostic and therapeutic approaches.

Summary:

  • Alzheimer disease (AD) diagnosis typically relies on clinical criteria and neuroimaging (SPECT, PET).

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  • Detecting pathological protein accumulation (Abeta, tau) before clinical manifestation is essential for effective intervention.
  • The discovery of APL1beta28 offers a potential avenue for predicting and diagnosing AD prior to symptom onset.

    • Impact:

    • Facilitates the development of novel early diagnostic tools for Alzheimer disease.
    • Enables timely therapeutic interventions, potentially slowing or preventing disease progression.
    • Advances the field of Alzheimer disease research by identifying a promising predictive biomarker.