Irbesartan Attenuates Sepsis-Induced Renal Injury In Mice Models.

Authors

  • Abdulla K. Raheem
  • Ahmed R. Abu-Raghif
  • Shaymaa Z. Abd-alakhwa

DOI:

https://doi.org/10.47750/pnr.2022.13.%20S05.104

Keywords:

CLP, Polymicrobial sepsis, renal injury, NGAL, oxidative stress

Abstract

Sepsis is the main cause of death following infection and is regarded as a worldwide health problem. Sepsis is a systemic inflammatory
side consequence of microbial infection. To investigate any possible reno-protective effects of irbesartan during sepsis-induced renal
damage. Forty male albino Swiss mice, weighing 25–30 grams and aged 8–12 weeks, were used in the current investigation. Both food
and water were freely available to these animals. Mice were separated into the following four groups after two weeks of adaption. (n =
10): (1) Normal group: apparently healthy mice. (2) CLP group: mice underwent CLP operation. (3) Vehicle group: mice received
DMSO (4) irbesartan group: mice received irbesartan 3 mg/kg/day intraperitoneally for 5 consecutive days. ) irbesartan group
demonstrated a significant (p<0.05) decrease in the renal levels of NGAL as compared to the CLP group. Furthermore, the irbesartan
group demonstrated a significant (p<0.05) decrease in the serum level of inflammatory cytokines (TNF-α, IL-6, & IL-1β) as compared
to the CLP group. Additionally, the irbesartan group showed a significant (p<0.05) elevation in the renal SOD activity and reduction
of MDA level as compared to the CLP group. Histologically, All mice in the CLP group showed a significant (p<0.05) renal tissue
injury, while the irbesartan group showed a significant (p<0.05) reduced level of renal tissue injury. The anti-inflammatory effect
through their ability to decrease serum levels of inflammatory cytokines (TNF-α, IL-1β, and IL-6). Also the anti-oxidant effect through
their ability to decrease renal levels of MDA and increase the renal activity of SOD.

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Published

2022-10-20

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How to Cite

Irbesartan Attenuates Sepsis-Induced Renal Injury In Mice Models. (2022). Journal of Pharmaceutical Negative Results, 13, 662-669. https://doi.org/10.47750/pnr.2022.13. S05.104