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July 05-06, 2019 | Paris, France
Pharmaceutics and Advanced Drug Delivery Systems
2
nd
International Conference and Exhibition on
Asian Journal of Biomedical and Pharmaceutical Sciences | ISSN:2249-622X | Volume 9
Identifying a microRNA fingerprint to predict QT prolongation
Sri Harsha Kanuri, Peng Chen, Abdullah Assiri, Wanqing Liu, James Tisdale, Rolf Kreutz
and
Brian Overholser
IIndiana University–Purdue University Indianapolis, USA
T
orsade de pointes (TdP) is a ventricular arrhythmia
associated with QT interval prolongation that can be
induced by several drugs. The objective was to identify
circulating microRNA (miR) as potential biomarkers for risk
stratification of susceptibility to QT interval prolongation.
In a single center cohort study, whole blood was collected
from 58 patients with coronary artery disease. Corrected
QT intervals were measured by Fridericia’s method (QTc).
Patients were categorized according to QTc risk. Genome-
wide next generation miR sequencing was performed.
Multivariate regression analysis (additive model) was used to
predict miRs associated with QTc risk. MiRs associated with
QT interval risk were further assessed for potential functional
significance using TargetScan with a context score < -0.4. 320
miRs were identified and 16 miRs were associated with QTc
interval risk from the multivariate analysis (p<0.05; Figure).
11 of those miRs were previously related to cardiovascular
function. Target scan analysis revealed 3 of the miRs may
regulate cardiac ion channel gene targets associated with QTc
prolongation. A profile of circulating miR has been identified
that correlated with QT prolongation. The potential for a miR
fingerprint to predict the susceptibility to drug induced QT
prolongation warrants further investigation.
e
:
Srikanur@iu.edu