Abstract
Hypertension (HTN) is the,most prevalent condition observed in primary health care. Hypertension shows,complex etiology, and neuroinflammation, overactive sympathetic drive, and the,microbiome are each associated with the disease. To obtain mechanistic perspective,into neurogenic HTN, we first constructed a framework for transcriptional regulators,of the disease using the Comparative Toxicogenomics Database. This approach,yielded a core group of 178 transcripts that are prevalent in studies of HTN,including leptin and neuropeptide Y. We then conducted a meta-analysis for transcriptome data generated in brain tissue from HTN studies. Eight expression studies were reanalyzed, in which transcriptomics was conducted in hypertensive animal models [spontaneously hypertensive rats (SHR) and high blood pressure (BPH/2J) Schlager mice] (140 microarrays). Most strikingly, a gut-brain connection was a dominant theme in both rodent models of HTN. The transcriptomic data in the rat CNS converged on processes that included gastrointestinal motility and appetite, among others. In the mouse model, pathways converged on gastrointestinal transit. Thus, our data provide a powerful review of current molecular evidence of the interplay between gut and brain in HTN. Analyses of meta-genome data also suggested that transcriptome networks related to natriuresis, thermoregulation, reproduction (lactation and pregnancy), and vasoconstriction were associated to HTN, supporting physiological observations in independent studies by others. Lastly, we present novel transcriptome networks that may contribute to a neurogenic origin of HTN. Using this framework, new therapeutic targets can be proposed and investigated in treatment strategies.
Author supplied keywords
Cite
CITATION STYLE
Zubcevic, J., Baker, A., & Martyniuk, C. J. (2017). Transcriptional networks in rodent models support a role for gut-brain communication in neurogenic hypertension: A review of the evidence. Physiological Genomics. American Physiological Society. https://doi.org/10.1152/physiolgenomics.00010.2017
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.