Tracking Plasma Protein Changes to Predict Alzheimers Progression | Novel Biomarkers Revealed Through Advanced Bioimaging Techniques

In this episode of SciBud, host Rowan takes listeners on an engaging journey into the latest research at the intersection of bioimaging and Alzheimer's Disease Dementia (ADD). Unpacking a groundbreaking study from the Indiana Alzheimer's Disease Research Center, we delve into how changes in plasma proteins can serve as vital biomarkers for predicting the progression of ADD. By analyzing the plasma proteome of 347 participants over time, the researchers discovered two key proteins, ACES and IGFALS, that fluctuate significantly during cognitive decline, accompanied by six other dynamic proteins linked to Alzheimer’s pathology. With an impressive predictive accuracy of 84.8%, this research highlights the importance of monitoring these evolving protein profiles rather than relying solely on static measurements. While the findings are promising, the episode also addresses some critiques regarding sample size and validation, emphasizing the need for further research. Join us as we explore how these advancements in proteomics and machine learning could revolutionize early detection efforts for Alzheimer’s, sparking curiosity and paving the way for future breakthroughs in the field! Link to episode page with article citation: www.scibud.media/podcast/season/2025/episode/265