Physiological GenomicsGenomicsPeer-reviewed journal article
Blood pressure and the kidney cortex transcriptome response to high sodium diet challenge in female nonhuman primates
Angelica M. RiojasiD, Kimberly D. ReevesiD, Robert E. ShadeiD, Sobha PuppalaiD, Clinton L. ChristenseniD, Shifra BirnbaumiD, Jeremy P. GlenniD, Cun LiiD, Hossam A. ShaltoutiD, Shannan Hall-UrsoneiD, Laura A. CoxiD
Abstract
Blood pressure (BP) is influenced by genetic variation and sodium intake. Ninety percent of Americans consume more than the AHA recommended amount of sodium. Studies on the impact of genetic variation and sodium intake on BP in nonhuman primates (NHP) to date have focused on males. We hypothesized that variation in renal transcriptional networks correlate with BP response to high dietary sodium in female baboons. Sodium-naive female baboons (n=7) were fed a low-sodium (LS) diet for 6 weeks followed by a high sodium (HS) diet for 6 weeks. Sodium intake, serum 17 betaestradiol, and ultrasound-guided kidney biopsies for RNA-Seq BP were collected at the end of each diet. BP was continuously measured for 64-hour periods throughout the study by implantable telemetry devices. On the LS diet, Na+ intake and serum 17 beta-estradiol concentration correlated with BP. Kidney transcriptomes differed by diet; analysis by unbiased weighted gene co-expression network analysis revealed modules of genes correlated with BP on the HS diet. Cell type composition of renal biopsies was consistent among all animals for both diets. Network analysis of module genes showed causal networks linking hormone receptors, proliferation and differentiation, methylation, hypoxia, insulin and lipid regulation, and inflammation as regulators underlying variation in BP on the HS diet. Our results show variation in BP correlated with novel kidney gene networks with master regulators PPARG and MYC in female baboons on a HS diet. Identification of mechanisms underlying regulators that influence BP will inform better therapies towards greater precision medicine for women.
- organism: non-human primate
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
- 5
- FWCI
- 0.62
- Field percentile
- top 37%
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