Endometriosis negatively impacts the health-related quality of life of 190 million women worldwide. Novel advances in nonhormonal treatments for this debilitating condition are desperately needed. Macrophages play a vital role in the pathophysiology of endometriosis and represent a promising therapeutic target. In the current study, we revealed the full transcriptomic complexity of endometriosis-associated macrophage subpopulations using single-cell analyses in a preclinical mouse model of experimental endometriosis. We have identified two key lesion-resident populations that resemble i) tumor-associated macrophages (characterized by expression of Folr2, Mrc1, Gas6, and Ccl8+) that promoted expression of Col1a1 and Tgfb1 in human endometrial stromal cells and increased angiogenic meshes in human umbilical vein endothelial cells, and ii) scar-associated macrophages (Mmp12, Cd9, Spp1, Trem2+) that exhibited a phenotype associated with fibrosis and matrix remodeling. We also described a population of proresolving large peritoneal macrophages that align with a lipid-associated macrophage phenotype (Apoe, Saa3, Pid1) concomitant with altered lipid metabolism and cholesterol efflux. Gain of function experiments using an Apoe mimetic resulted in decreased lesion size and fibrosis, and modification of peritoneal macrophage populations in the preclinical model. Using cross-species analysis of mouse and human single-cell datasets, we determined the concordance of peritoneal and lesion-resident macrophage subpopulations, identifying key similarities and differences in transcriptomic phenotypes. Ultimately, we envisage that these findings will inform the design and use of specific macrophage-targeted therapies and open broad avenues for the treatment of endometriosis.

This study aimed to evaluate the localised effects of intrauterine ozone therapy on endometrial recovery in mares with endometritis. Our investigation assessed changes in gene expression profiles of anti-inflammatory (IL-1RA and IL-10), proinflammatory (IL-R1B3i and TNFα) and pleiotropic (IL-6) cytokines, along with detailed histological measurements of epithelial and endometrial thickness and the glandular area ratio. Twenty mares were assigned to a 2 × 2 factorial design based on endometritis diagnosis and treatment (control or 42 μg/mL ozone insufflation), resulting in four groups: NC (negative for endometritis/control), NO (negative/ozone), PC (positive/control) and PO (positive/ozone). Oestrus was induced with 2 mg of oestradiol benzoate on Days -1, 1 and 3, plus 1 mg on Day 5. Day 0 marked the initial uterine treatment, followed by insufflations on Days 1 and 2 with O3 (ozone) or O2 (control). Uterine biopsies were taken before treatment on Day 0 and Day 6 for histological analysis and gene expression assessment. Data were analysed using a statistical model that included endometritis status, treatment type, biopsy times (D0 and D6) and their interactions, analysed with Proc Glimmix. Regardless of treatment or endometritis status, significant biopsy effects (p < 0.01) indicated increased epithelial height and endometrial thickness in Day 6 samples. Analysis of IL-1 and TNFα revealed a significant interaction (p < 0.05) among endometritis, treatment and biopsy, with higher IL-1B3i expression on Day 6 in the PC group. The treatment effect (p < 0.04) showed a higher frequency (p < 0.01) of animals with positive modulation in the PC group (66.7%) versus the PO group (0.0%). An interaction effect (p = 0.08) between endometritis and treatment resulted from higher IL-1RA expression on Day 6 in the PC group compared to the PO group. Biopsy effect was significant for IL-10 (p < 0.01), indicating higher values in the second sample associated with tissue repair. In the short-term evaluation, ozone therapy did not influence endometrial morphology and may modulate cytokine expression, specifically the reduction in IL-1 and TNFα levels. Therefore, this therapy appears to be a safe and potentially effective treatment for modulating the inflammatory response in mares with endometritis.

The establishment of pregnancy involves a fine-tuned balance between protection and tolerance within the maternal immune system, as the female needs to accept a foreign antigen (the semi-allogenic fetus) while still being able to combat pathogens from the uterus. In the horse, the first uterine exposure to paternal antigens is during mating when sperm is introduced to the tissue and draining lymphatics of the uterus. Additionally, it has been suggested that seminal plasma and its proteins within it play an essential role in preparing the female tract for a suitable immunologic environment but this has not been confirmed in the horse. Therefore, the objective of this study was to evaluate the endometrial transcriptome following insemination either with seminal plasma or with reduced seminal plasma. We hypothesised that reduced seminal plasma would alter the endometrial transcriptome and affect transcripts relating to immunotolerance, antigen presentation and embryo growth and development. To do so, six (n = 6) mares were inseminated in a randomised switch-back design over the course of four oestrous cycles. Mares were rectally palpated and scanned via ultrasonography for the detection of a pre-ovulatory follicle (>35 mm) alongside increasing uterine oedema and relaxed cervix, and then treated with one of four treatment groups including (1) 30 mL lactated Ringers solution (LRS; NegCon), (2) 500 × 106 spermatozoa in conjunction with 30 mL seminal plasma (SP+), (3) 30 mL lactated Ringers solution (LRS; wash out) and (4) 500 × 106 spermatozoa with seminal plasma reduced via gradient centrifugation and resuspended in 30 mL LRS (SP-). Human chorionic gonadotropin (hCG) was administered to standardise the time to ovulation and endometrial biopsies were collected 7 days after insemination. RNA was isolated utilising Trizol, and RNA-Seq was performed by Novogene, with 97.79% total mapping and 40 million read depth. p value was set to <0.05. When comparing SP+ to SP-, 158 differentially expressed genes (DEGs) were identified. Biological processes impacted included antigen processing and regulation, cholesterol synthesis, and immune/inflammatory response. Gene ontology (GO) enrichment analysis using DAVID v6.8 revealed that many of these DEGs were involved in biological process such as antigen presentation (HLA-DM beta chain, HLA-DRB, HLA-DQA and RASGRP1), immune cell signalling (CXCL9, CXCL1, DEFB1 and MIP-2B), embryo growth and development (INHA, KLF2, RDH10, LAMA3 and SLC34A2) and embryo metabolism (ABCA1, ABCA2, APOA1, LDL, INSR, IGFBP2 and IGFBP3). Overall, reduction of seminal plasma from the insemination dose impacted the endometrial transcriptome at the time of early embryonic exposure to the uterine environment. Further work is justified to evaluate these alterations impact on embryo maturation, placental development, pregnancy outcome and development of offspring.

暂无摘要。

Equine endometrosis is a degenerative and predominantly fibrotic condition resulting from progressive and irreversible multifactorial causes that influence the endometrium of mare. Tissue remodeling in the equine endometrium occurs as part of the pathogenesis of endometrosis, a process characterized by a shift in extracellular matrix (ECM) components. The relationship between matrix metalloproteinases and their specific inhibitors is crucial for the remodeling process. Collagen play a significant role in maintaining a healthy uterus and may promote fibrotic processes. The aim of this study was to quantify endometrial collagen deposition using picrosirius 25 red (PSR) staining, and to evaluate gene expression of collagen type 2 (COL-2) and 3 (COL-3), matrix metalloproteinases 1 (MMP-1) and 2 (MMP-2), their tissue inhibitor (TIMP-2), and tumor necrosis factor (TNF-α) in the endometrium of mares with different grades of fibrosis. The samples (n = 34) were classified into three categories based on the frequency and distribution of fibrosis-related changes in the endometrium: Category I (healthy endometrium, n = 12), Category II (moderate fibrosis, n = 12), and Category III (severe fibrosis, n = 10). Collagen quantification demonstrate a substantial proportional increase (P < 0.0001) in collagen deposition across Category I (11.72 ± 1.39 %), Category II (17.76 ± 1.29 %), and Category III (24.15 ± 1.87 %). In transcript evaluations, higher COL-2 expression was found in Category II than in mares classified as Category I or III. MMP-1 showed increased transcript expression in Category II compared to Category III endometrial samples. Higher expression of MMP-2 was detected in Category III than in Category I and II. TIMP-2 showed lower mRNA expression in Category III vs Category I and II. However, TNF-α gene expression was higher in Category II than in Categories I and III. This study demonstrates that endometrial evaluation using PSR can play an important role in routine analyses for the detection and objective quantification of collagen in endometrial tissues. Additionally, this study demonstrated through gene expression analysis that MMP-1 may be linked to physiological endometrial remodeling. In contrast, MMP-2 could be associated with fibrogenesis in the endometrium, which is regulated by the inhibitor TIMP-2. Furthermore, COL-2 and TNF-α could be considered as biological markers involved in the progression endometrosis in mares. As such, the results of this study may contribute to the development of future antifibrotic therapies that aim to delay or even reverse the pathological remodeling of the extracellular matrix in the uterus, in addition to optimizing the diagnosis and prognosis of endometrial fibrosis in mares.

OBJECTIVE: Endometrial polyp (EP) is a type of pathology that is quite common in clinical practice. Although its exact etiology is not fully known, there is evidence to support that it is sensitive to hormonal stimuli. We aimed to investigate the relationship between kisspeptin (KP) and EP by comparing the genetic (tissue-blood) and immunohistochemical (IHC) expression of KP in EP lesions in patients with normal endometrial findings.
METHODS: A prospective case-control study of 50 patients with EP (N = 25) and normal endometrial findings (N = 25) on biopsy and/or excision material was performed. Blood and biopsy samples obtained from all patients were stored at -80 °C. KP gene expression levels were determined from paraffin blocks, and peripheral venous blood samples obtained from biopsy specimens and IHC-H-score analysis were performed from paraffin blocks. EP and matched controls were compared for KP.
RESULTS: After IHC, the KP H-score of the control group was higher than the EP group, and this difference was statistically significant; H-score: control: 5 (++; 1-15); polyp: 1 (+; 0-12) (P < 0.05). Although KP expression in both tissue and blood was higher in the control group than in the EP group, this difference was not statistically significant (P > 0.05). No significant correlation was found between IHC H-score and KP expression levels in tissue and blood. According to the ROC analysis, the tissue and blood KP expression cut-off value and area under the curve (AUC) predicting the likelihood of developing EP were not significant (tissue KP: 1.04, AUC: 0.570, P = 0.388, sensitivity 56%, specificity 60%, Blood KP: 1.06, AUC: 0.569, P = 0.401, sensitivity 80%, specificity 40%).
CONCLUSIONS: Decreased KP expression level in EP lesions may predict the diagnosis of EP, and in the future, KP may have therapeutic potential for benign gynecological pathologies such as polyps.

Epithelial-mesenchymal transition (EMT) is known to play a crucial role in the development of endometriosis (EMs). However, the exact mechanisms involved in EMT regulation in EMs are not well understood. In this study, we performed comprehensive research using clinical samples, single-cell sequencing, and in vivo/in vitro models to investigate the effects of advanced oxidation protein products (AOPPs) on EMT and the underlying mechanisms in EMs. Combining bioinformatics analysis with experimental validation, our results show that AOPPs accumulate in EMs tissues, and their levels positively correlate with the expression of EMT markers in fibrotic lesions of EMs patients. Stimulation with AOPPs leads to a concentration- and time-dependent alteration of EMT markers expression in both in vitro and in vivo models. These effects are mainly mediated by the generation of reactive oxygen species and nitrite, along with the activation of the ERK and P38 signaling pathways. In chronic administration studies using normal rats, AOPPs induce EMT and enhance collagen deposition. These findings significantly contribute to our understanding of the molecular mechanisms of EMs and provide a foundation for future research and therapeutic development in this field.

UNASSIGNED: Hysteroscopic surgery is a common gynecologic process in many conditions. Endometrial thinning is the main successful key for this process associated with many preoperative preparations. This study aimed to evaluate DE (Desogestrel-estradiol) to reduce endometrial thickness in comparison with the control group.
UNASSIGNED: This Randomized clinical trial was done on the patients candidate for polypectomy that were randomly divided into two groups of intervention and control; the first group received DE OCP (oral contraceptive pill with 30 microgram Ethinyl estradiol + 150 micro gram Desogestrel) once daily from the 1st to 5th day of the menstrual cycle for 21 days and then in the first day of next menstruation cycle, the drug was used up to one day before hysteroscopy done in the 5th to 8th day of the cycle. The second group received no drugs. Hysteroscopy was done in the early follicular phase in both groups and all the subjects received one dosage of Misoprostol a night before surgery.
UNASSIGNED: There were no significant differences between the parity, polyp size, and BMI (Body Mass Index) in the two groups. The mean duration of surgery, mean endometrial thickness before hysteroscopy, the quality of endometrial tissue, and surgeon satisfaction were significantly difference between the two groups. However, the quality of the surgeon\'s vision in the intervention group was better than the control group but there was no significant difference between the two groups.
UNASSIGNED: Pre-operation endometrial thinning by oral contraceptives such as DE could be an effective method and reduce the duration of surgery.

暂无摘要。

UNASSIGNED: Recurrent pregnancy loss (RPL) frequently links to a prolonged endometrial receptivity (ER) window, leading to the implantation of non-viable embryos. Existing ER assessment methods face challenges in reliability and invasiveness. Radiomics in medical imaging offers a non-invasive solution for ER analysis, but complex, non-linear radiomic-ER relationships in RPL require advanced analysis. Machine learning (ML) provides precision for interpreting these datasets, although research in integrating radiomics with ML for ER evaluation in RPL is limited.
UNASSIGNED: To develop and validate an ML model that employs radiomic features derived from multimodal transvaginal ultrasound images, focusing on improving ER evaluation in RPL.
UNASSIGNED: This retrospective, controlled study analyzed data from 346 unexplained RPL patients and 369 controls. The participants were divided into training and testing cohorts for model development and accuracy validation, respectively. Radiomic features derived from grayscale (GS) and shear wave elastography (SWE) images, obtained during the window of implantation, underwent a comprehensive five-step selection process. Five ML classifiers, each trained on either radiomic, clinical, or combined datasets, were trained for RPL risk stratification. The model demonstrating the highest performance in identifying RPL patients was selected for further validation using the testing cohort. The interpretability of this optimal model was augmented by applying Shapley additive explanations (SHAP) analysis.
UNASSIGNED: Analysis of the training cohort (242 RPL, 258 controls) identified nine key radiomic features associated with RPL risk. The extreme gradient boosting (XGBoost) model, combining radiomic and clinical data, demonstrated superior discriminatory ability. This was evidenced by its area under the curve (AUC) score of 0.871, outperforming other ML classifiers. Validation in the testing cohort of 215 subjects (104 RPL, 111 controls) confirmed its accuracy (AUC: 0.844) and consistency. SHAP analysis identified four endometrial SWE features and two GS features, along with clinical variables like age, SAPI, and VI, as key determinants in RPL risk stratification.
UNASSIGNED: Integrating ML with radiomics from multimodal endometrial ultrasound during the WOI effectively identifies RPL patients. The XGBoost model, merging radiomic and clinical data, offers a non-invasive, accurate method for RPL management, significantly enhancing diagnosis and treatment.