Proteomics and mathematical modeling of longitudinal CSF differentiates fast versus slow ALS progression.

ABSTRACT:

Objective

Amyotrophic lateral sclerosis (ALS) is a heterogeneous disease with a complex etiology that lacks biomarkers predicting disease progression. The objective of this study was to use longitudinal cerebrospinal fluid (CSF) samples to identify biomarkers that distinguish fast progression (FP) from slow progression (SP) and assess their temporal response.

Methods

We utilized mass spectrometry (MS)-based proteomics to identify candidate biomarkers using longitudinal CSF from a discovery cohort of SP and FP ALS patients. Immunoassays were used to quantify and validate levels of the top biomarkers. A state-transition mathematical model was created using the longitudinal MS data that also predicted FP versus SP.

Results

We identified a total of 1148 proteins in the CS

SUBMITTER: Vu L 

PROVIDER: S-EPMC10647001 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature