NeuroFLiPP: Parametric PET of Neuroinflammation in Fatty Liver Disease

Recruiting now · Early Phase 1

Conditions studied: Positron Emission Tomography

In brief

Alzheimer's Disease and related dementias (ADRD) affect about 6 million people in the U.S. and are the fifth leading cause of death for adults over 65. Recent research is investigating how chronic liver diseases like Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD), which affects one-third of the U.S. population, might influence ADRD through the liver-brain axis. MASLD shares risk factors with Alzheimer's, such as diabetes and hypertension, and studies have linked MASLD to increased risks of cognitive decline and ADRD. Mouse-model studies suggest that chronic liver inflammation in MASLD can induce neuroinflammation and accelerate Alzheimer's pathology, highlighting the importance of studying the liver-brain connection to identify new therapeutic targets for ADRD. The goal of this research is to develop a practical PET imaging method using 18F-FDG to simultaneously assess liver and brain inflammation in patients with MASLD-related ADRD. This approach leverages dynamic FDG-PET scanning and advanced tracer kinetic modeling to quantify glucose transport, overcoming limitations of traditional imaging methods that cannot noninvasively assess chronic liver inflammation. The new method aims to enable comprehensive imaging of liver-brain inflammation crosstalk, validated against the 18F-DPA-714 radiotracer. Success in this project could provide a valuable imaging tool for linking liver inflammation with neuroinflammation and cognitive decline, advancing clinical research and potentially uncovering new pathways for ADRD treatment

Key facts

Study ID
NCT06453915
Run by
University of California, Davis
People needed
12
Starts
2025-04-30
Expected to finish
2027-07-01
Last updated by the study team
2026-06-18

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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