Andrew J Rosato1, Xiaochun Chen1, Yoshiaki Tanaka2, Lindsay A Farrer3,4,5,6,7, Henry R Kranzler8, Yaira Z Nunez7, David C Henderson1, Joel Gelernter2,9,10,11, Huiping Zhang1,3. 1. Department of Psychiatry, Boston University School of Medicine, Boston, MA 02118, USA. 2. Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USA. 3. Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA 02118, USA. 4. Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA. 5. Department of Ophthalmology, Boston University School of Medicine, Boston, MA 02118, USA. 6. Department of Epidemiology & Boston University School of Public Health, Boston, MA 02118, USA. 7. Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA. 8. Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania & VISN4 MIRECC, Crescenz VAMC, Philadelphia, PA 19104, USA. 9. Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, USA. 10. Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06510, USA. 11. VA Connecticut Healthcare System, West Haven, CT 06516, USA.
Abstract
Aim: Salivary miRNA can be easily accessible biomarkers of alcohol dependence (AD). Materials & methods: The miRNA transcriptome in the saliva of 56 African-Americans (AAs; 28 AD patients/28 controls) and 64 European-Americans (EAs; 32 AD patients/32 controls) was profiled using small RNA sequencing. Differentially expressed miRNAs were identified. Salivary miRNAs were used to predict the AD presence using machine learning with Random Forests. Results: Seven miRNAs were differentially expressed in AA AD patients, and five miRNAs were differentially expressed in EA AD patients. The AD prediction accuracy based on top five miRNAs (ranked by Gini index) was 79.1 and 72.2% in AAs and EAs, respectively. Conclusion: This study provided the first evidence that salivary miRNAs are AD biomarkers.
Aim: Salivary miRNA can be easily accessible biomarkers of alcohol dependence (AD). Materials & methods: The miRNA transcriptome in the saliva of 56 African-Americans (AAs; 28 ADpatients/28 controls) and 64 European-Americans (EAs; 32 ADpatients/32 controls) was profiled using small RNA sequencing. Differentially expressed miRNAs were identified. Salivary miRNAs were used to predict the AD presence using machine learning with Random Forests. Results: Seven miRNAs were differentially expressed in AA ADpatients, and five miRNAs were differentially expressed in EA ADpatients. The AD prediction accuracy based on top five miRNAs (ranked by Gini index) was 79.1 and 72.2% in AAs and EAs, respectively. Conclusion: This study provided the first evidence that salivary miRNAs are AD biomarkers.
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