Premium
Serum Proteome in a Sporadic Amyotrophic Lateral Sclerosis Geographical Cluster
Author(s) -
Benedetti Stefano,
Gianazza Elisabetta,
Banfi Cristina,
Marocchi Alessandro,
Lunetta Christian,
Penco Silvana,
Bonomi Francesco,
Iametti Stefania
Publication year - 2017
Publication title -
proteomics – clinical applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 54
eISSN - 1862-8354
pISSN - 1862-8346
DOI - 10.1002/prca.201700043
Subject(s) - proteome , amyotrophic lateral sclerosis , context (archaeology) , disease , biology , apolipoprotein e , computational biology , multiple sclerosis , immunology , bioinformatics , medicine , paleontology
This study is meant to characterize the serum proteome in a small geographical cluster of sporadic ALS subjects originating from a restricted geographical area and sharing the same environmental exposure, in a broader context of evaluating the relevance of environmental factors to disease onset, status, and progression. An Artificial Neural Network based software is used to compare the relative abundance of proteins identified as different (by means of bi‐dimensional electrophoresis and mass spectrometry) in the serum proteome of patients and age‐matched healthy controls. The patient's group is characterized by altered levels of acute phase reactants and of proteins involved in lipid homeostasis, along with over‐representation of the APOE*4 allele. Characterization of the serum proteome in a small cluster of sporadic ALS patients, originating from a geographically restricted area with a high prevalence of the disease and evaluation of the results with software based on artificial neural networks, highlights the association of the relative abundance of some proteins (most notably, acute phase reactants and lipid homeostasis proteins) with the disease presence and status.