Potential novel biomarker for alcohol dependence
Specific molecules (small noncoding microRNAs or miRNAs) found in saliva may be able to predict alcohol dependence as biomarkers.
Alcohol dependence is a common, complex and genetically inuenced disorder. A current diagnosis depends primarily on self-reported symptoms, which is limited by inaccurate recall or reluctance of patients to give accurate information on their drinking behaviors or alcohol-related problems.
Researchers from Boston University School of Medicine (BUSM) first used miRNA sequencing (miRNA-seq) technology to prole miRNA transcriptomes in the saliva of patients with alcohol dependence and healthy control subjects from both African-American (AA) and European-American (EA) populations. They then identied salivary miRNAs that expressed differently in people with alcohol dependence as compared to the control group. Using a machine learning approach, the researchers were then able to predict alcohol dependency in approximately 80 percent of AAs and 72 percent of EAs.
According to the researchers, there is considerable interest in the identication of biological measurements (or biomarkers) to assess a patient's current or past alcohol use.
"The identication of disease-specic biomarkers in easily accessible body uids such as saliva can result in the early diagnosis and treatment of diseases. This study provides initial evidence that salivary miRNAs are potential biomarkers for this illness," explained corresponding author Huiping Zhang, Ph.D., associate professor of psychiatry at BUSM.
These findings appear online in the journal Epigenomics.