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Prestes, P. R.

Publications and source records attributed to Prestes, P. R..

2 recordsLinked to original sources

Genetic reprogramming by brief inhibition of the renin-angiotensin system in spontaneously hypertensive rats leads to persistently reduced kidney renin and low blood pressure.

BACKGROUNDPrevention of human hypertension is an important challenge and has been achieved in experimental models. Brief treatment with renin-angiotensin system (RAS) inhibitors permanently reduces the genetic hypertension of the spontaneously hypertensive rat (SHR). The kidney is involved in this reprogramming, but relevant genetic changes are unknown. METHODSIn SHR, we studied the effect of treatment between 10 and 14 weeks of age with the angiotensin receptor blocker, losartan, or the angiotensin-converting enzyme (ACE) inhibitor, perindopril (with controls for non-specific effects of lowering BP) on differential RNA expression, DNA methylation and renin immunolabelling in the kidney at 20 weeks of age. RESULTSRNA sequencing revealed a 6-fold increase in renin gene (Ren) expression during losartan treatment (P < 0.0001). At 20 weeks, six weeks after treatment cessation, mean arterial pressure remained lower in the treated SHR (P = 0.006), kidney Ren expression was reduced by 23% (P = 0.03) and DNA methylation within the Ren promoter region was increased (P = 0.04). Experiments with the ACE inhibitor perindopril confirmed a long-term reduction in kidney Ren expression of 43% (P = 1.4 x 10-6). Renin immunolabelling was also lower after losartan or perindopril treatment (P = 0.002). RNA sequencing identified differential expression of 13 candidate genes (Grhl1, Ammecr1l, Hs6st1, Nfil3, Fam221a, Lmo4, Adamts1, Cish, Hif3a, Bcl6, Rad54l2, Adap1, Dok4) and the miRNA miR-145-3p. We found correlations between expression of mRNAs, miRNAs and lncRNAs that we believe represent genetic networks underpinning the decreased Ren expression and lower BP. Gene ontogeny analyses revealed that these networks were enriched with genes relevant to BP, RAS and the kidneys. CONCLUSIONSEarly RAS inhibition in SHR reprograms genetic pathways and networks resulting in a legacy of reduced Ren expression and the persistent reduction in BP.

genetics↗

Best Practice Data Life Cycle Approaches for the Life Sciences

Throughout history, the life sciences have been revolutionised by technological advances; in our era this is manifested by advances in instrumentation for data generation, and consequently researchers now routinely handle large amounts of heterogeneous data in digital formats. The simultaneous transitions towards biology as a data science and towards a life cycle view of research data pose new challenges. Researchers face a bewildering landscape of data management requirements, recommendations and regulations, without necessarily being able to access data management training or possessing a clear understanding of practical approaches that can assist in data management in their particular research domain.\n\nHere we provide an overview of best practice data life cycle approaches for researchers in the life sciences/bioinformatics space with a particular focus on omics datasets and computer-based data processing and analysis. We discuss the different stages of the data life cycle and provide practical suggestions for useful tools and resources to improve data management practices.

bioinformatics↗