1. Circulating long noncoding RNA GAS5 levels are correlated to prevalence of type 2 diabetes mellitus
- Author
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Gay Carter, Branko Miladinovic, Achintya A. Patel, Lauren Deland, Stephen Mastorides, and Niketa A. Patel
- Subjects
Serum ,medicine.medical_specialty ,NMD, nonsense mediated decay ,BMI, body mass index ,AUC, area under curve ,Bioinformatics ,Pathology and Forensic Medicine ,lncRNA ,DM, diabetes mellitus ,GAS5, growth-arrest specific transcript 5 ,Physiology (medical) ,Internal medicine ,Diabetes mellitus ,GAS5 ,Gene expression ,medicine ,Adult Onset Diabetes ,Metabolic disease ,Veterans ,business.industry ,Diabetes ,Type 2 Diabetes Mellitus ,Regular Article ,ROC, receiver operating characteristics ,medicine.disease ,Impaired fasting glucose ,Long non-coding RNA ,CI, confidence interval ,Endocrinology ,Molecular Medicine ,lncRNA, long noncoding RNA ,business - Abstract
Background Diabetes mellitus (DM), a metabolic disease, is characterized by impaired fasting glucose levels. Type 2 DM is adult onset diabetes. Long non-coding RNAs (lncRNAs) regulate gene expression and multiple studies have linked lncRNAs to human diseases. Methods Serum samples obtained from 96 participating veterans at JAH VA were deposited in the Research Biospecimen Repository. We used a two-stage strategy to identify an lncRNA whose levels correlated with T2DM. Initially we screened five serum samples from diabetic and non-diabetic individuals using lncRNA arrays. Next, GAS5 lncRNA levels were analyzed in 96 serum samples using quantitative PCR. Receiver operating characteristic (ROC) analysis was performed to determine the optimal cutoff GAS5 for diagnosis of DM. Results Our results demonstrate that decreased GAS5 levels in serum were associated with diabetes in a cohort of US military veterans. The ROC analysis revealed an optimal cutoff GAS5 value of less than or equal to 10. qPCR results indicated that individuals with absolute GAS5, Highlights • Serum samples from participating veterans were analyzed. • Levels of serum lncRNAs were analyzed for correlation to diabetes. • ROC analysis was performed to determine GAS5 optimal cutoff. • Individuals with absolute GAS5
- Published
- 2015
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