Paradigm Shift: Multiple Potential Pathways to Neurodegenerative Dementia

Amalia Perna1, Kathleen S Montine2, Lon R White3

  • 1Department of Pathology, Stanford University, 300 Pasteur Dr., Stanford, CA, 94305, USA. amaliap@stanford.edu.

Insights

Effective dementia treatment requires a shift towards personalized, multimodal therapies. Addressing complex comorbidities and neurodegenerative processes is crucial for advancing treatments beyond symptom management for conditions like Alzheimer's disease.

Area of Science:

  • Neuroscience
  • Pharmacology
  • Geriatrics

Background:

  • Neurodegenerative dementias stem from complex abnormalities like neurotransmitter imbalances and protein aggregation.
  • Current Alzheimer's disease (AD) treatments offer modest benefits and focus on symptoms or disease structures.
  • Multiple neurodegenerative processes often co-occur, complicating treatment development.

Purpose of the Study:

  • To highlight the limitations of current dementia therapeutics.
  • To emphasize the need for a paradigm shift in dementia treatment strategies.
  • To discuss emerging therapeutic avenues and challenges in dementia research.

Main Methods:

  • Review of current understanding of neurodegenerative dementia.
  • Analysis of recent FDA-approved and investigational therapies for dementia.
  • Discussion of the impact of comorbidities on therapeutic effectiveness.

Main Results:

  • Existing dementia treatments, including aducanumab and lecanemab, show limited efficacy.
  • New therapeutic strategies are exploring cognition enhancement, drug combinations, and targeting neuroinflammation or the microbiome.
  • Underlying comorbidities significantly impact treatment response but are difficult to identify during life.

Conclusions:

  • A paradigm shift towards individualized and multimodal treatment approaches is necessary for effective dementia therapeutics.
  • Future therapies may involve modifying microglia or other novel biological targets.
  • Accurate identification of comorbidities is vital to improve clinical trial success and optimize patient care.

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