Effects of the selective chymase inhibitor TEI-F00806 on the intrarenal renin-angiotensin system in salt-treated angiotensin I-infused hypertensive mice.
Tuba M AnsaryMaki UrushiharaYoshihide FujisawaSayaka NagataHidenori UrataDaisuke NakanoHitomi HirofumiKazuo KitamuraShoji KagamiAkira NishiyamaPublished in: Experimental physiology (2018)
The effects of the selective chymase inhibitor TEI-F00806 were examined on angiotensin I (Ang I)-induced hypertension and intrarenal angiotensin II (Ang II) production in salt-treated mice. Twelve-week-old C57BL male mice were given a high-salt diet (4% NaCl + saline (0.9% NaCl)), and divided into three groups: (1) sham + vehicle (5% acetic acid in saline), (2) Ang I (1 μg kg-1 min-1 , s.c.) + vehicle, and (3) Ang I + TEI-F00806 (100 mg kg-1 day-1 , p.o.) (n = 8-10 per group). Systolic blood pressure was measured weekly using a tail-cuff method. Kidney Ang II content was measured by radioimmunoassay. Chronic infusion of Ang I resulted in the development of hypertension (P < 0.001), and augmented intrarenal chymase gene expression (P < 0.05), angiotensinogen protein level (P < 0.001) and Ang II content (P < 0.01) in salt-treated mice. Treatment with TEI-F00806 attenuated the development of hypertension (P < 0.001) and decreased Ang II content of the kidney (P < 0.05), which was associated with reductions in renal cortical angiotensinogen protein levels (P < 0.001) and chymase mRNA expression (P < 0.05). These data suggest that a chymase inhibitor decreases intrarenal renin-angiotensin activity, thereby reducing salt-dependent hypertension.
Keyphrases
- angiotensin ii
- blood pressure
- angiotensin converting enzyme
- vascular smooth muscle cells
- hypertensive patients
- gene expression
- heart rate
- high fat diet induced
- heart failure
- dna methylation
- metabolic syndrome
- low dose
- insulin resistance
- oxidative stress
- weight loss
- left ventricular
- binding protein
- wild type
- physical activity
- type diabetes
- newly diagnosed
- skeletal muscle
- diabetic rats
- adipose tissue
- deep learning
- data analysis
- atrial fibrillation
- stress induced