Abstract
<title>Abstract</title> <p>As the world's population ages, Alzheimer's disease (AD), a progressive neurodegenerative disorder, is becoming more common. The current diagnoses for AD are not precise enough to identify the disorder when it is possible to cure. An early indicator of Alzheimer's is the assessment of beta-amyloid by positron emission tomography (PET) score, a substantial decrease in the brain's metabolomics. Furthermore, Metabolomics can be detected by UPLC (ultra-high pressure liquid chromatography). This study investigates the link between metabolic profiles and beta-amyloid load in AD in order to shed light on possible biomarkers for disease progression. The data from 59 people who have been diagnosed with moderate cognitive impairment (MCI) is extracted from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). This study uses ultra-high-performance liquid chromatography (UPLC) to investigate the correlation between baseline metabolic data and changes in amyloid PET scores. Seven metabolites, including DOPA, Methionine Sulfoxide (Met.SO), Tryptophan Betaine, choline, leucine, valine, and FA (18:2), seem to have a substantial connection with amyloid PET scores. These can be used as early indications of AD progression, especially Met.SO is particularly relevant when considering time interaction. Understanding the metabolic alterations associated with amyloid load can pave the way for future research incorporating metabolites into a therapeutic treatment that can be identified as crucial to the illness’s progression.</p>