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Machine Learning Reveals Protein Signatures in CSF and Plasma Fluids of Clinical Value for ALS.


ABSTRACT: We use shotgun proteomics to identify biomarkers of diagnostic and prognostic value in individuals diagnosed with amyotrophic lateral sclerosis. Matched cerebrospinal and plasma fluids were subjected to abundant protein depletion and analyzed by nano-flow liquid chromatography high resolution tandem mass spectrometry. Label free quantitation was used to identify differential proteins between individuals with ALS (n?=?33) and healthy controls (n?=?30) in both fluids. In CSF, 118 (p-value?

SUBMITTER: Bereman MS 

PROVIDER: S-EPMC6218542 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Machine Learning Reveals Protein Signatures in CSF and Plasma Fluids of Clinical Value for ALS.

Bereman Michael S MS   Beri Joshua J   Enders Jeffrey R JR   Nash Tara T  

Scientific reports 20181105 1


We use shotgun proteomics to identify biomarkers of diagnostic and prognostic value in individuals diagnosed with amyotrophic lateral sclerosis. Matched cerebrospinal and plasma fluids were subjected to abundant protein depletion and analyzed by nano-flow liquid chromatography high resolution tandem mass spectrometry. Label free quantitation was used to identify differential proteins between individuals with ALS (n = 33) and healthy controls (n = 30) in both fluids. In CSF, 118 (p-value < 0.05)  ...[more]

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