57
Views
3
CrossRef citations to date
0
Altmetric
Research Article

The effects of ischaemic preconditioning on ovarian apoptosis and p53 expression during laparoscopy

, , , &
Pages 467-471 | Published online: 04 Jun 2012
 

Abstract

We aimed to explore the effects of ischaemic preconditioning (IP) used to reduce ischaemic injury during laparoscopy on ovarian apoptosis and p53 expression. A total of 32 rats were randomly allocated into four groups consisting of eight in each as follows: Group I was subjected to a sham operation without pneumoperitoneum (Pp). Group II was subjected to 5 min of Pp with 15 mmHg pressure of CO2 followed immediately by 5 min of deflation, after that, 60 min of Pp and deflation. Group III was subjected to 10 min of Pp and deflation. Group IV was subjected to 60 min of Pp and deflation. The ovarian tissues were histologically and immunohistochemically processed. The number of apoptotic and p53(+) cells were measured. All the data revealed that ovarian apoptosis and p53 expression were highest in group IV. Apoptotic cells and p53(+) cells were lower in IP groups. Additionally, group II had significantly lower p53(+) cells compared with group III. Pp induces higher amount of apoptosis and p53 expression in ovary but preconditioning may have protective effects during laparoscopy. Furthermore, 5 min of preconditioning may be more effective. Therefore, the effects of Pp and preconditioning should be considered for the ovary during laparoscopy.

Declaration of interest: The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.