Alzheimer's disease (AD) is the most prevalent old age-associated neurodegenerative disease. However, despite extensive interest and financial outlay, drug discovery in this area has not yet yielded any disease modifying compounds. This may be in part due to the small number of molecular targets suitable for drug discovery. Thus, the identification of multiple, new drug targets is still one of the most important challenges. Natural products are the structural basis of the majority of the drugs in the clinic today. Over the last decade we have used a novel phenotypic drug-screening platform based upon toxicities associated with the old brain and natural product chemical libraries and plant extracts to identify compounds that have therapeutic efficacy in multiple models of neurodegeneration and dementia. Structure-activity relationship driven medicinal chemistry was then used to make pharmacologically suitable drug candidates. One of these compounds is in Phase I clinical trials for AD and another has NIH funding for investigational new drug (IND) studies. Perhaps the greatest relatively unexplored area of AD drug discovery is the endocannabinoid system and the compounds in the Cannabis plant that may interact with it and other pathways associated with neurodegeneration. While THC and CBD are the best-studied chemicals in Cannabis, there are over 100 non-psychoactive cannabinoids and 400 other unique chemicals within the plant that may have therapeutic potential. We have recently demonstrated that several of these compounds are exceptionally neuroprotective in our drug screening platform that has already yielded bona fide AD drug candidates. The hypothesis for this high risk, high reward R21 application is that there are non-psychoactive compounds within the Cannabis plant that are suitable lead drug candidates for AD, and that these can be identified, along with their molecular targets, by our drug screening platform and chemical proteomics, respectively. There are three Specific Aims in this application. 1) All commercially available pure cannabinoids, flavones and terpenes in Cannabis, will be screened, a project already underway. In collaboration with Dr. ElSohly at the University of Mississippi, additional pure compounds will be screened that he has isolated as well as complex high CBD Cannabis (hemp) extracts where the most active new compounds will be identified. The pharmacological and safety properties of the five best compounds will be studied. 2) The molecular targets of one will be determined. 3) Finally, the therapeutic efficacy of the best compound will be examined in the 3xFAD transgenic mouse model of familial AD and rapidly aging SAMP8 mice. At the end of two years, a non-psychoactive compound and its target will have been identified and tested in two rigorous models of dementia, gaining a greater understanding of the therapeutic potential of Cannabis as well as identifying a novel lead AD drug candidate and its molecular target.

Public Health Relevance

Currently there are no effective drugs that prevent the death of nerve cells associated with neurodegenerative diseases such as Alzheimer's. This disease is very complex, and there are many factors that contribute to the patient's demise, yet most drug discovery projects use an approach that only addresses one of the many aspects of the disease pathology. In this proposal, a different approach to identify a drug candidate for AD is proposed, one that is based upon natural products that are known to interact with molecular systems in the brain that are compromised in AD.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21AG064287-01A1
Application #
9977821
Study Section
Drug Discovery for the Nervous System Study Section (DDNS)
Program Officer
Martin, Zane
Project Start
2020-06-15
Project End
2022-03-31
Budget Start
2020-06-15
Budget End
2021-03-31
Support Year
1
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Salk Institute for Biological Studies
Department
Type
DUNS #
078731668
City
La Jolla
State
CA
Country
United States
Zip Code
92037