TL;DR
Multilevel evidence from animal models and clinical CSF samples indicates that microglial activation and glia-related molecular alterations are associated with TLE progression, and related secreted proteins may provide candidate biomarkers for future translational investigation.
An integrated multi-omics approach provides a robust framework for stage-specific PD monitoring and potential clinical deployment using multi-omics machine learning to identify biofluid-specific signatures and evaluated predictive performance.
Alzheimer’s disease (AD) is a heterogeneous neurodegenerative disorder with region- and severity-specific molecular signatures that complicate biomarker discovery. We combined peptide-centric quantitative proteomics data with machine learning, dimensionality reduction, nonlinear modeling, and network enrichment to id...
These findings uncover protein signatures that reflect underlying AD biology and provide a foundation for stage-specific biomarkers and therapeutic targeting, with important implications for patient stratification and personalized intervention strategies.
Abstract Spinal muscular atrophy (SMA) is an autosomal recessive disorder caused by bi-allelic pathogenic variants in SMN1, leading to motor neuron degeneration, muscle atrophy and progressive weakness. Although disease-modifying therapies have recently become available, reliable biomarkers for disease monitoring remai...
Plasma multiplex proteomics identified complementary dimensions of neuroaxonal injury and immune dysregulation across frontotemporal lobar degeneration-related syndromes and candidates for independent biomarker validation and mechanistic investigation are identified.
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