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Combination of Intranasal Insulin With Oral Semaglutide to Improve Cognition and Cerebral Blood Flow: a Feasibility Study
The investigators propose a proof of concept RCT (randomized clinical trial), testing the efficacy of intranasal insulin (INI) with semaglutide, a combination therapy with strong biological plausibility to benefit impaired cognition through vascular mechanisms, in older adults with MetS (metabolic syndrome) and MCI (Mild Cognitive Impairment), who are enriched for cerebrovascular disease and at high dementia risk. The study will focus on cognitive and biological outcomes, allowing identification of relevant mechanisms.
The Specific Aims of the study are: Aim 1. To examine the ease and precision of use of the intranasal device and once daily semaglutide pill. Aim 2. To examine the adherence to the two types of treatment. Aim 3. To examine the safety profile of the combination of intranasal insulin with semaglutide. The safety profile of each has been published broadly, but the safety of their combination has not been examined. Aim 4. Although the primary goal of the pilot study is proof of concept essential to design a large combination therapy RCT, The investigators will compare the combination of intranasal insulin and semaglutide with the other three groups on a) cognition, b) cerebral blood flow (via ASL MRI), c) glucose uptake (via FDG PET), ADRD(Alzheimer's disease and related disorders)-related blood biomarkers (Aβ42/Aβ40 ratio, pTau181 and 231, NfL and GFAP), and expression of insulin signaling genes from brain derived exosomes.
Age
60 - 90 years
Sex
ALL
Healthy Volunteers
No
Joseph Sagol Neuroscience center, Sheba Medical Center
Ramat Gan, Israel
Start Date
January 30, 2024
Primary Completion Date
December 1, 2027
Completion Date
December 1, 2028
Last Updated
March 22, 2024
80
ESTIMATED participants
Semaglutide
DRUG
Intranasal insulin
DRUG
Semaglutide placebo
OTHER
Intranasal insulin placebo
OTHER
Lead Sponsor
Rutgers, The State University of New Jersey
Collaborators
NCT07220668
NCT07178210
Data Source & Attribution
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