Correlating serum micrornas and clinical parameters in amyotrophic lateral sclerosis
ABSTRACT Introduction: Amyotrophic lateral sclerosis (ALS) is a debilitating neurologic disorder with poor survival rates and no clear biomarkers for disease diagnosis and prognosis. Methods: We compared serum microRNA (miRNA) expression from patients with ALS with healthy controls and patients with...
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| Published in: | Muscle & nerve Vol. 58; no. 2; pp. 261 - 269 |
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| Main Authors: | , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
Wiley Subscription Services, Inc
01.08.2018
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| Subjects: | |
| ISSN: | 0148-639X, 1097-4598, 1097-4598 |
| Online Access: | Get full text |
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| Summary: | ABSTRACT
Introduction: Amyotrophic lateral sclerosis (ALS) is a debilitating neurologic disorder with poor survival rates and no clear biomarkers for disease diagnosis and prognosis. Methods: We compared serum microRNA (miRNA) expression from patients with ALS with healthy controls and patients with multiple sclerosis and Alzheimer disease. We also correlated miRNA expression in cross‐sectional and longitudinal cohorts of ALS patients with clinical parameters. Results: We identified 7 miRNAs (miR‐192‐5p, miR‐192‐3p, miR‐1, miR‐133a‐3p, miR‐133b, miR‐144‐5p, miR‐19a‐3p) that were upregulated and 6 miRNAs (miR‐320c, miR‐320a, let‐7d‐3p, miR‐425‐5p, miR‐320b, miR‐139‐5p) that were downregulated in patients with ALS compared with healthy controls, patients with Alzheimer disease, and patients with multiple sclerosis. Changes in 4 miRNAs (miR‐136‐3p, miR‐30b‐5p, miR‐331‐3p, miR‐496) correlated positively and change in 1 miRNA (miR‐2110) correlated negatively with changes in clinical parameters in longitudinal analysis. Discussion: Our findings identified serum miRNAs that can serve as biomarkers for ALS diagnosis and progression. Muscle Nerve 58: 261–269, 2018 |
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| Bibliography: | National Center for Advancing Translational Sciences B. C. Healy has served on the scientific advisory board for Biogen and Worldwide Medical Biostatistics and has received research support from Merck Serono, Genzyme, Novartis, and Google Life Sciences. C. Diaz‐Cruz has received research support from Merck Serono and Google Life Sciences. T. Gholipour has received research support from Merck Serono, compensation as a reviewer from Boehringer Ingelheim, and spouse received compensation from Boehringer Ingelheim as a reviewer. B. I. Glanz has received research support from Merck Serono SA. P. Kivisakk has received research support from EMD Serono, Sanofi Genzyme, Verily Life Sciences. T. Chitnis served on clinical trial advisory boards for Novartis Pharmaceuticals and Genzyme‐Sanofi; consulted for Biogen Idec, Novartis, Genzyme‐Sanofi, Genentech Roche; and has received research support from EMD Serono, Novartis, Biogen, and Verily. H. L. Weiner has served on the scientific advisory board for Teva Pharmaceutical Industries, Biogen Idec, Novartis, Sanofi‐Aventis and has consulted for Therapix, Biogen, Novartis, Serono, Teva, and Sanofi. J. D Berry has consulted with Biogen, Denali Therapeutics and Neuraltus Pharmaceuticals and has received research support from Voyager Therapeutics and GSK, Cytokinetics, Brainstorm Cell Therapeutics, and Novartis. R. Gandhi has received research support from Novartis, Biogen, EMD Serono, and Sanofi. R. Raheja, K. Regev, M. A Mazzola, V. Beynon, F. Glehn, and A. Paul have no conflicts to report. Conflicts of Interest R. R. and K. R. contributed equally to this work. Funding This study was funded by National Institutes of Health funds via the (UH2/UH3 Grant TR000890). ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 These authors contributed equally to this work. |
| ISSN: | 0148-639X 1097-4598 1097-4598 |
| DOI: | 10.1002/mus.26106 |