Athena Schepmoes

This study detects melanoma using serum proteome profiling and machine learning, identifying eight protein biomarkers with high diagnostic accuracy.

This study evaluates plasma extracellular vesicle proteomics for identifying predictive biomarkers of type 1 diabetes development, finding 448 differentially abundant proteins and a 0.81 AUC in predicting islet autoimmunity.

This study shows that ApoE4 lipidation state affects human microglial metabolism and function, with lipid-bound ApoE4 causing metabolic reprogramming and lipid-free ApoE4 inducing inflammatory signaling.

This study shows that TOR inhibition in algae increases amino acid levels through transcriptional activation of biosynthesis pathways and identifies a conserved transcription factor involved in nitrogen metabolism.

The paper compares cerebrospinal fluid proteomes of ME/CFS patients with and without fibromyalgia, finding no significant differences, suggesting they may not be distinct conditions.