Alzheimer's Disease: Combination Therapies and Clinical Trials for Combination Therapy Development

Jeffrey L Cummings1,2,3, Amanda M Leisgang Osse4,5, Jefferson W Kinney4,5

  • 1Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas (UNLV, Las Vegas, NV, USA. jcummings@cnsinnovations.com.

CNS Drugs
|June 27, 2024
PubMed

Insights

Combination therapies are essential for Alzheimer's disease (AD) treatment, potentially combining new drugs with existing anti-amyloid monoclonal antibodies to slow cognitive decline. Further research is needed to optimize these combination strategies for greater patient benefit.

Area of Science:

  • Neuroscience
  • Pharmacology
  • Clinical Trials

Background:

  • Alzheimer's disease (AD) is a complex neurological disorder.
  • Current anti-amyloid monoclonal antibodies offer modest slowing of disease progression (approx. 30%).
  • Combination therapies are likely necessary for greater efficacy in preventing AD onset or slowing cognitive decline.

Purpose of the Study:

  • To explore the necessity and strategies for combination therapies in Alzheimer's disease.
  • To outline development pathways for co-developed and add-on combination therapies.
  • To address the urgent need for combination therapy research, especially for patients on existing anti-amyloid treatments.

Main Methods:

  • Review of potential combination therapy approaches (co-development vs. add-on).
  • Consideration of clinical trial designs for add-on therapies (Phase 1, 2, 3).
  • Emphasis on biomarker analysis in combination trials and network-based medicine for identifying rational combinations.

Main Results:

  • Combination therapies may target core AD pathology, co-pathologies (e.g., inflammation), or co-occurring non-AD pathologies (e.g., alpha-synuclein).
  • Add-on combination strategies are critical for patients currently receiving anti-amyloid monoclonal antibodies.
  • Biomarker changes must be carefully evaluated in combination trials to understand drug effects.

Conclusions:

  • Combination therapies represent a crucial next step in advancing Alzheimer's disease treatment.
  • Strategic development, including robust clinical trial designs and biomarker analysis, is essential for successful combination therapy implementation.
  • Computational approaches can aid in identifying optimal drug combinations for AD.

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