NLRC5 and autophagy combined as possible predictors in patients with endometriosis
Lei Zhan, Shun Yao, Shiying Sun, Qian Su, Jun Li, Bing Wei, Lei Zhan, Shun Yao, Shiying Sun, Qian Su, Jun Li, Bing Wei
Abstract
Objective: To investigate the levels of NLRC5 and autophagy in women with leiomyoma and endometriosis and the correlation between NLRC5 level and autophagy level.
Design: Case-control study.
Setting: Clinics.
Patient(s): Sixty-five patients were recruited: 30 women with endometriosis were compared with 35 women with leiomyoma.
Intervention(s): Endometriosis was definitively diagnosed during surgery by laparoscopy or laparotomy and was confirmed by histopathological evaluation (n=30). Secretory phase ectopic endometrium tissues and eutopic endometrium tissues were obtained from 30 women with endometriosis. Control endometrium tissues were collected at hysterectomy from 35 women with leiomyoma. Immunohistochemical staining of NLRC5, LC3, Beclin1 and P62 were performed.
Main outcome measure(s): A semiquantitative analysis was performed. Correlations between NLRC5 level and LC3, Beclin1, P62 levels were compared.
Result(s): The expressions of NLRC5 and P62 in the ectopic and eutopic endometrium of endometriosis groups were significantly higher than that in the endometrium of leiomyoma group. And their expressions in ectopic endometrium were significantly up-regulated compared to the eutopic endometrium. The expressions of LC3 and Beclin1 were down-regulated in the ectopic and eutopic endometrium of endometriosis groups compared to the leiomyoma group. LC3 and Beclin1 levels were lower in ectopic endometrium than in the eutopic endometrium. There is a negative correlation between NLRC5 level and LC3, Beclin1 levels. There is a positive correlation between NLRC5 level and P62 level.
Conclusion(s): There is a negative correlation between NLRC5 level and autophagy level. NLRC5 and autophagy combined may as promising predictors in patients with endometriosis.
Keywords: Endometriosis; NLRC5; autophagy; correlation; predictors.
Copyright © 2018 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.
Source: PubMed