Uterine infections are a major source of economic losses to dairy farmers. The uterine microbiota as well as opportunistic uterine contaminants can contribute to the development of endometritis in dairy cows during the postpartum period. Therefore, it is important to characterize potential pathogens and to further elucidate their role in the disease. In this study, we aimed to characterize field isolates to obtain more details regarding their effect on uterine cells by using an in vitro endometrial epithelial primary cells model. We found that isolates possessed the keratinase genes and and therefore may produce keratinases. When primary endometrial epithelial cells were infected with 4 different strains, an effect on cellular viability was observed over the course of 72 h. The effect was dose-dependent and time-dependent. Nevertheless, significant differences between the strains were not observed. All tested strains reduced the viability of the primary cells after 72 h of incubation, indicating that potentially has a pathogenic effect on endometrial epithelial cells.
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http://dx.doi.org/10.3390/ani13081297 | DOI Listing |
Vet Res Commun
January 2025
Laboratory of Veterinary Physiology, Department of Veterinary Medicine, Faculty of Agriculture, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai-Cho, 183-8509, Fuchu, Tokyo, Japan.
This study investigated, for the first time, the alterations in the uterine echotexture and blood flow in cyclic and acyclic (inactive ovary) goats using ultrasonography. The study aimed also to evaluate the metabolomic changes in the plasma of cyclic and acyclic goats. Furthermore, the histopathological approach was applied to the specimens of the uterus to validate the findings of this study.
View Article and Find Full Text PDFCurr Mol Med
January 2025
Department of Laboratory, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
Long non-coding RNAs (lncRNAs) play vital roles in the development and progression of various tumors through multiple mechanisms. Among these, HOTTIP (HOXA transcript at the distal tip) stands out as an intriguing candidate with diverse functions in several malignancies, including breast cancer and gynecologic cancers such as ovarian, cervical, and endometrial cancers, which are significant global health concerns. HOTTIP interacts with key signaling pathways associated with these cancers, including Wnt/β-catenin, PI3K/AKT, and MEK/ERK pathways, enhancing their activation and downstream effects.
View Article and Find Full Text PDFAm J Reprod Immunol
January 2025
Department of Obstetrics and Gynecology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Problem: Endometriosis (EM) is known as a common estrogen-dependent chronic inflammatory disease. Elevated levels of Forkhead box L2 (FOXL2) have been observed in uterine diseases, including EM. However, the molecular mechanism of FOXL2 in EM needs to be further illustrated.
View Article and Find Full Text PDFNat Med
January 2025
Carlos Simon Foundation, Valencia, Spain.
Endometrial decidualization resistance (DR) is implicated in various gynecological and obstetric conditions. Here, using a multi-omic strategy, we unraveled the cellular and molecular characteristics of DR in patients who have suffered severe preeclampsia (sPE). Morphological analysis unveiled significant glandular anatomical abnormalities, confirmed histologically and quantified by the digitization of hematoxylin and eosin-stained tissue sections.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of Obstetrics and Gynecology, Jingjiang People's Hospital Affiliated to Yangzhou University, Taizhou, China.
Background: Metabolic syndrome associated with glucose metabolism plays a pivotal role in tumorigenesis, potentially elevating the risk of endometrial cancer (EC). This study sought to establish a glucose metabolism-related gene (GMRG) signature linked to EC.
Methods: Differential analysis was conducted to identify differentially expressed genes (DEGs) between EC and normal samples from the TCGA-EC dataset.
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