1. Whole blood transcriptome analysis in amyotrophic lateral sclerosis: A biomarker study
- Author
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Wouter van Rheenen, Oliver Harschnitz, Michael A. van Es, Ewout J N Groen, Jan H. Veldink, Frank P. Diekstra, Henk Jan Westeneng, Christiaan G J Saris, Leonard H. van den Berg, Paul W.J. van Vught, Hylke M. Blauw, and Kristel R. van Eijk
- Subjects
0301 basic medicine ,Male ,Support Vector Machine ,Physiology ,lcsh:Medicine ,Gene Expression ,Protein domains ,Biochemistry ,Transcriptome ,Cohort Studies ,Motor Neuron Diseases ,0302 clinical medicine ,Gene expression ,Medicine and Health Sciences ,Amyotrophic lateral sclerosis ,lcsh:Science ,Whole blood ,Multidisciplinary ,Agricultural and Biological Sciences(all) ,DEAD-box ,Neurodegenerative Diseases ,Genomics ,Middle Aged ,Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3] ,Prognosis ,Healthy Volunteers ,Body Fluids ,Nucleic acids ,Blood ,Neurology ,Biomarker (medicine) ,Female ,Anatomy ,Transcriptome Analysis ,Signal Transduction ,Research Article ,Computational biology ,Biology ,Biological pathway ,Diagnosis, Differential ,03 medical and health sciences ,All institutes and research themes of the Radboud University Medical Center ,medicine ,Journal Article ,Genetics ,Humans ,Survival analysis ,Aged ,Biochemistry, Genetics and Molecular Biology(all) ,Gene Expression Profiling ,lcsh:R ,Amyotrophic Lateral Sclerosis ,Case-control study ,Biology and Life Sciences ,Proteins ,Computational Biology ,medicine.disease ,Genome Analysis ,Survival Analysis ,030104 developmental biology ,RNA processing ,Case-Control Studies ,Feasibility Studies ,RNA ,lcsh:Q ,RNA transport ,030217 neurology & neurosurgery ,Biomarkers ,Genetics and Molecular Biology(all) - Abstract
The biological pathways involved in amyotrophic lateral sclerosis (ALS) remain elusive and diagnostic decision-making can be challenging. Gene expression studies are valuable in overcoming such challenges since they can shed light on differentially regulated pathways and may ultimately identify valuable biomarkers. This two-stage transcriptome-wide study, including 397 ALS patients and 645 control subjects, identified 2,943 differentially expressed transcripts predominantly involved in RNA binding and intracellular transport. When batch effects between the two stages were overcome, three different models (support vector machines, nearest shrunken centroids, and LASSO) discriminated ALS patients from control subjects in the validation stage with high accuracy. The models’ accuracy reduced considerably when discriminating ALS from diseases that mimic ALS clinically (N = 75), nor could it predict survival. We here show that whole blood transcriptome profiles are able to reveal biological processes involved in ALS. Also, this study shows that using these profiles to differentiate between ALS and mimic syndromes will be challenging, even when taking batch effects in transcriptome data into account.
- Published
- 2018