Overexpression of Angiotensinogen Increases Tubular Apoptosis in Diabetes

Fang Liu(Centre Hospitalier de l’Université de Montréal), Marie-Luise Brezniceanu(Association of Canadian College and University Teachers of English), Chih‐Chang Wei(Association of Canadian College and University Teachers of English), Isabelle Che[Combining Acute Accent]nier, Se[Combining Acute Accent]bastien Sachetelli(Association of Canadian College and University Teachers of English), Shao‐Ling Zhang(Association of Canadian College and University Teachers of English), János G. Filep(Hôpital Maisonneuve-Rosemont), Julie R. Ingelfinger(Harvard University), John S.D. Chan(Association of Canadian College and University Teachers of English)
Journal of the American Society of Nephrology
December 6, 2007
Cited by 85Open Access
Full Text

Abstract

The intrarenal renin-angiotensin system (RAS) plays an important role in the progression of diabetic nephropathy. We have previously reported that mice overexpressing angiotensinogen in renal proximal tubular cells (RPTC) develop hypertension, albuminuria, and renal injury. Here, we investigated whether activation of the intrarenal RAS contributes to apoptosis of RPTC in diabetes. Induction of diabetes with streptozotocin in these transgenic mice led to significant increases in BP, albuminuria, RPTC apoptosis, and proapoptotic gene expression compared with diabetic nontransgenic littermates. Insulin and/or RAS blockers markedly attenuated these changes. Hydralazine prevented hypertension but not albuminuria, RPTC apoptosis, or proapoptotic gene expression. In vitro, high-glucose medium significantly increased apoptosis and caspase-3 activity in rat immortalized RPTC overexpressing angiotensinogen compared with control cells, and these changes were prevented by insulin and/or RAS blockers. In conclusion, intrarenal RAS activation and high glucose may act in concert to increase tubular apoptosis in diabetes, independent of systemic hypertension.


Related Papers

No related papers found

Powered by citation graph analysis