Serum Proteome in a Sporadic Amyotrophic Lateral Sclerosis Geographical Cluster.
Stefano De BenedettiElisabetta GianazzaCristina BanfiAlessandro MarocchiChristian LunettaSilvana PencoFrancesco BonomiStefania IamettiPublished in: Proteomics. Clinical applications (2017)
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.
Keyphrases
- amyotrophic lateral sclerosis
- neural network
- end stage renal disease
- mass spectrometry
- newly diagnosed
- ejection fraction
- late onset
- chronic kidney disease
- prognostic factors
- metabolic syndrome
- adipose tissue
- type diabetes
- cognitive decline
- climate change
- case report
- ms ms
- microbial community
- data analysis
- simultaneous determination