Scientific Reports (Aug 2024)
Induction and characterization of a rat model of endometriosis
Abstract
Abstract Endometriosis is a common condition that affects 5% to 10% of women during their reproductive years, although the aetiology and pathophysiology are still unknown. This study aimed to create an endometriosis model in rats to investigate the efficacy of natural and synthetic medications in treating endometriosis. An in vivo endometriotic model was established using a surgical induction method and the endocrine-disrupting drug diethylstilbestrol (DES). In brief, the experiment is categorised into three different groups. Each group contains five rats. The first group had no surgery, while in the in the second group of rats (n = 5), two small tissue grafts were fixed at the right and left walls of the abdomen. But in the in the third group of rats (n = 5), two small pieces of tissue have been grafted on the right and left abdomen walls by surgically along with DES treatments. Noninvasive photoacoustic imaging (PAI) was employed in the study to measure factors such as haemoglobin levels, oxygen saturation, and the size of endometriotic lesions. Histopathological analysis was carried out utilising staining techniques such as Hematoxylin and Eosin, Masson's Trichrome, and Periodic Acid Schiff, as well as immunohistochemistry with marker antibodies. Molecular markers in uterine tissue were examined using Western blots and real-time PCR. The developed endometriosis rat model showed a significant increase in the expression of anti-apoptotic Bcl-2, angiogenic marker VEGF and pro-inflammatory (COX-2 and IL-6) protein markers. In contrast to the control group, the treatment group had considerably lower Caspase-3 expression levels. Photoacoustic imaging (PAI) data demonstrated a constant increase in lesion size, as well as a decrease in oxygen saturation levels. The findings suggest that the in vivo endometriosis rat model may accurately assess the efficacy of natural or synthetic endometriosis treatments. This model may help in the improvement of disease understanding and the development of targeted therapeutic drugs.
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