Whole Transcriptome Sequencing Analyses Reveal Molecular Markers of Blood Pressure Response to Thiazide Diuretics.
Ana Caroline C SáAmy WebbYan GongCaitrin W McDonoughSomnath DattaTaimour Y LangaeeStephen T TurnerAmber L BeitelsheesArlene B ChapmanEric BoerwinkleJohn G GumsSteven E SchererRhonda M Cooper-DeHoffWolfgang SadeeJulie A JohnsonPublished in: Scientific reports (2017)
Thiazide diuretics (TD) are commonly prescribed anti-hypertensives worldwide. However, <40% of patients treated with thiazide monotherapy achieve BP control. This study uses whole transcriptome sequencing to identify novel molecular markers associated with BP response to TD. We assessed global RNA expression levels in whole blood samples from 150 participants, representing patients in the upper and lower quartile of BP response to TD from the Pharmacogenomic Evaluation of Antihypertensive Responses (PEAR) (50 whites) and from PEAR-2 (50 whites and 50 blacks). In each study cohort, we performed poly-A RNA-sequencing in baseline samples from 25 responders and 25 non-responders to hydrochlorothiazide (HCTZ) or chlorthalidone. At FDR adjusted p-value < 0.05, 29 genes were differentially expressed in relation to HCTZ or chlorthalidone BP response in whites. For each differentially expressed gene, replication was attempted in the alternate white group and PEAR-2 blacks. CEBPD (meta-analysis p = 1.8 × 10-11) and TSC22D3 (p = 1.9 × 10-9) were differentially expressed in all 3 cohorts, and explain, in aggregate, 21.9% of response variability to TD. This is the first report of the use of transcriptome-wide sequencing data to identify molecular markers of antihypertensive drug response. These findings support CEBPD and TSC22D3 as potential biomarkers of BP response to TD.
Keyphrases
- single cell
- blood pressure
- genome wide
- rna seq
- systematic review
- end stage renal disease
- hypertensive patients
- dna methylation
- newly diagnosed
- ejection fraction
- randomized controlled trial
- poor prognosis
- metabolic syndrome
- type diabetes
- clinical trial
- heart rate
- electronic health record
- meta analyses
- drug induced
- big data
- binding protein
- clinical decision support
- open label
- blood glucose
- adverse drug
- genome wide analysis