[Adolescent female reproductive system dysplasia: a clinical study of 356 cases].

Objective: To explore the age of onset and consultation, the main clinical manifestations, common types of combined malformations, the relationship of endometriosis, surgical prognosis and different types of proportion of adolescent female reproductive system dysplasia. Methods: The medical records of 356 patients (aged 10-19) with female reproductive system dysplasia in Women's Hospital, School of Medicine, Zhejiang University from January 2003 to August 2018 were collected and retrospectively analyzed. Results: (1) Among the 356 adolescent dysplasia patients, uterine dysplasia (23.6%, 84/356), oblique vaginal septum syndrome (OVSS; 22.5%, 80/356) and vaginal dysplasia (21.6%, 77/356) were the most frequent ones, followed by multi-sectional dysplasia (16.0%, 57/356), other types of developmental abnormalities like external genitaliaand urogenital fistula (13.5%, 48/356) and Mayer-Rokitansky-Küster-Hauser syndrome (MRKH syndrome; 2.8%, 10/356). (2) There were significant differences between the median age of onset and the age of consultation of patients with OVSS and other types of abnormalities except hymen atresia (both P<0.05). In contrast, there were no significant differences between the age of onset and the age of consultation of the patients of uterine dysplasia, vaginal dysplasia, hymen atresia, MRKH syndrome and multi-sectional dysplasia (all P>0.05). (3) The clinical manifestations were lack of specificity, and mainly abnormal finding was lower abdominal pain. (4) After admission, the majority of patients underwent comprehensive cardiopulmonary examination (71.3%, 254/356) and urinary system examination (63.5%, 226/356). Only 18.3% (65/356) of patients had completed abdominal organ examination, and 5.9% (21/356) skeletal system examination. About other systemic malformations, urological malformations were the most common (27.5%, 98/356), followed by anorectal malformation (0.6%, 2/356), heart malformations (0.3%, 1/356), and spinal malformations (0.3%, 1/356). 46.4% (84/181) of the surgical patients were diagnosed with combined endometriosis. Patients with obstructive genital tract malformations were more likely to combine with endometriosis than non-obstructive ones [50.3% (74/147) vs 29.4% (10/34); P<0.05]. However, there was no significant difference between the severity of endometriosis of those two kinds (P>0.05). (5) Totally 308 patients were followed up successfully with a median of 25.0 years old, and 20 cases were treated again; 12.0% (37/308) of them were suffering from menstrual disorder and 33.1% (102/308) of them with dysmenorrhea. Totally 130 patients had sexually active reported no sexual problems. Conclusions: Uterine dysplasia, OVSS and vaginal dysplasia are the most common syndromes in adolescent female reproductive system dysplasia along with frequent cases of coexisting urinary malformations and increasing risks of endometriosis. Meanwhile, the lack of specificity of clinical manifestations might delay the timely diagnosis and treatment after the onset of symptoms. Nonetheless, most patients could achieve good surgical outcomes.

FEMaLe: The use of machine learning for early diagnosis of endometriosis based on patient self-reported data-Study protocol of a multicenter trial.

INTRODUCTION: Endometriosis is a chronic disease that affects up to 190 million women and those assigned female at birth and remains unresolved mainly in terms of etiology and optimal therapy. It is defined by the presence of endometrium-like tissue outside the uterine cavity and is commonly associated with chronic pelvic pain, infertility, and decreased quality of life. Despite the availability of various screening methods (e.g., biomarkers, genomic analysis, imaging techniques) intended to replace the need for invasive surgery, the time to diagnosis remains in the range of 4 to 11 years. AIMS: This study aims to create a large prospective data bank using the Lucy mobile health application (Lucy app) and analyze patient profiles and structured clinical data. In addition, we will investigate the association of removed or restricted dietary components with quality of life, pain, and central pain sensitization. METHODS: A baseline and a longitudinal questionnaire in the Lucy app collects real-world, self-reported information on symptoms of endometriosis, socio-demographics, mental and physical health, economic factors, nutritional, and other lifestyle factors. 5,000 women with confirmed endometriosis and 5,000 women without diagnosed endometriosis in a control group will be enrolled and followed up for one year. With this information, any connections between recorded symptoms and endometriosis will be analyzed using machine learning. CONCLUSIONS: We aim to develop a phenotypic description of women with endometriosis by linking the collected data with existing registry-based information on endometriosis diagnosis, healthcare utilization, and big data approach. This may help to achieve earlier detection of endometriosis with pelvic pain and significantly reduce the current diagnostic delay. Additionally, we may identify dietary components that worsen the quality of life and pain in women with endometriosis, upon which we can create real-world data-based nutritional recommendations.

Extracellular vesicles in endometriosis: role and potential.

Endometriosis is a chronic inflammatory gynecological disease, which profoundly jeopardizes women's quality of life and places a significant medical burden on society. The pathogenesis of endometriosis remains unclear, posing major clinical challenges in diagnosis and treatment. There is an urgent demand for the development of innovative non-invasive diagnostic techniques and the identification of therapeutic targets. Extracellular vesicles, recognized for transporting a diverse array of signaling molecules, have garnered extensive attention as a novel mode of intercellular communication. A burgeoning body of research indicates that extracellular vesicles play a pivotal role in the pathogenesis of endometriosis, which may provide possibility and prospect for both diagnosis and treatment. In light of this context, this article focuses on the involvement of extracellular vesicles in the pathogenesis of endometriosis, which deliver information among endometrial stromal cells, macrophages, mesenchymal stem cells, and other cells, and explores their potential applications in the diagnosis and treatment, conducing to the emergence of new strategies for clinical diagnosis and treatment.

Uterine mesothelial cysts mimicking ovarian cysts in a primipara patient with a history of Cesarean section: A case report and review of the literature.

OBJECTIVE: We describe a rare case of uterine mesothelial cysts mimicking ovarian cysts in a primipara patient with a history of Cesarean section. CASE REPORT: A 39-year-old female patient with history of Cesarean section presented with dysmenorrhea. Sonography revealed that a hypoechoic and anechoic multicystic complex, which was located on the right side of the pelvic cavity, had infiltrated the adjacent posterior wall of the uterus, and it was preoperatively misdiagnosed as ovarian cysts with suspected endometrioma. Laparoscopic surgery revealed multiple cystic lesions filled with clear yellow fluid on the posterior uterine wall instead of the adnexa. Laparoscopic uterine cystectomy was performed, and the patient's recovery was uneventful. Pathohistological and immunohistochemical examinations confirmed the diagnosis of uterine mesothelial cysts. CONCLUSION: Uterine mesothelial cysts should be considered in the differential diagnosis of pelvic lesions. Increasing the awareness of this rare disease can contribute to improved evaluation, decision-making, and disease management.

[Endometriosis-related recurrent unilateral hemorrhagic pleural effusion: a case report].

Hemorrhagic pleural effusion (PE) is common in clinical practice. According to the guidelines, the etiological diagnosis of PE should focus on the identification of common diseases. In most cases, the etiology of PE can be determined by clinical history, physical examination, laboratory and imaging examinations, and pleural biopsy or video-assisted thoracic surgery (VAST). We reported a rare case of a 32-year-old woman with recurrent unilateral hemorrhagic pleural effusion (highly correlated with menstrual cycle) and chest pain that was diagnosed as thoracic endometriosis syndrome (TES) by pathological biopsy and immunohistochemistry. Later she underwent surgery combined with hormone therapy. During the follow-up, the right PE decreased, and she had no chest pain. Therefore, women of reproductive age with regular unilateral bloody pleural effusions should be alert to TES.

Identification of urine biomarkers of endometriosis-Protein mass spectrometry.

INTRODUCTION: Endometriosis is a chronic inflammatory disease that leads to a series of pathological reactions. The basis is a changed proinflammatory activated immune system, which results in more pronounced oxidative stress, disturbed function of proteolysis and cell apoptosis. These processes are crucial in the development of the disease because their dysfunctional activities cause the progression of the disease. It is believed that the proteins excreted in the urine interact with each other and promote pathological processes in endometriosis. METHODS: We analyzed the urine proteome of patients and aimed to detect a potential protein biomarker for endometriosis in the urine proteome. We collected urine samples from 16 patients with endometriosis and 16 patients in the control group with functional ovarian cysts. The diagnosis for all patients was confirmed through pathohistological analysis. After the preanalytical preparation of the urine, chromatography and mass spectrometry (LC-MS/MS) used the technology of urine proteome analysis. RESULTS: The main finding was a significantly different concentration of 14 proteins in the urine samples. We recorded a considerably higher concentration of proteins that have a significant role in activating the immune system (SELL), iron metabolism (HAMP) and cell apoptosis (CHGA) in endometriosis compared to controls. Proteins having an antioxidant function (SOD1) and a role in proteolysis of the extracellular matrix (MMP-9) were significantly reduced in endometriosis compared to controls. CONCLUSION: Consistent with the known pathogenesis of endometriosis, the study results complement the pathological responses that occur with disease progression.

[Implementation of fluorescent imaging technology in endovideosurgical treatment of colorectal endometriosis]. / Vnedrenie tekhnologii fluorestsentnoi vizualizatsii v endovideokhirurgicheskoe lechenie kolorektal'nogo endometrioza.

The article includes a clinical case of a patient with deep infiltrating endometriosis with rectum involving and using intraoperative controlled fluorescence in order to increase the radicality of surgery and improve the prognosis of the disease. Surgical excision of the endometrioitic nodules is the only effective way of treating patients with colorectal endometriosis in terms of relieving pain, improving quality of life and restoring reproductive function. The possible types of surgical interventions can be performed: endometrioid lesion shaving, discoid or circular intestinal resection with anastomosis. The extent of the operation is determined by the following morphological parameters: the number of endometrioid infiltrates of the intestinal wall, the size of each of them, the degree of involvement of the intestine circumference, the depth of the intestinal wall lesion, the distance from the level of anus to the endometriotic nodule and lymphatic dissemination.

Assessing the Utility of artificial intelligence in endometriosis: Promises and pitfalls.

Endometriosis, a chronic condition characterized by the growth of endometrial-like tissue outside of the uterus, poses substantial challenges in terms of diagnosis and treatment. Artificial intelligence (AI) has emerged as a promising tool in the field of medicine, offering opportunities to address the complexities of endometriosis. This review explores the current landscape of endometriosis diagnosis and treatment, highlighting the potential of AI to alleviate some of the associated burdens and underscoring common pitfalls and challenges when employing AI algorithms in this context. Women's health research in endometriosis has suffered from underfunding, leading to limitations in diagnosis, classification, and treatment approaches. The heterogeneity of symptoms in patients with endometriosis has further complicated efforts to address this condition. New, powerful methods of analysis have the potential to uncover previously unidentified patterns in data relating to endometriosis. AI, a collection of algorithms replicating human decision-making in data analysis, has been increasingly adopted in medical research, including endometriosis studies. While AI offers the ability to identify novel patterns in data and analyze large datasets, its effectiveness hinges on data quality and quantity and the expertise of those implementing the algorithms. Current applications of AI in endometriosis range from diagnostic tools for ultrasound imaging to predicting treatment success. These applications show promise in reducing diagnostic delays, healthcare costs, and providing patients with more treatment options, improving their quality of life. AI holds significant potential in advancing the diagnosis and treatment of endometriosis, but it must be applied carefully and transparently to avoid pitfalls and ensure reproducibility. This review calls for increased scrutiny and accountability in AI research. Addressing these challenges can lead to more effective AI-driven solutions for endometriosis and other complex medical conditions.

Saliva-based microRNA diagnostic signature for the superficial peritoneal endometriosis phenotype.

OBJECTIVE: Patients with superficial peritoneal endometriosis (SPE) present with symptoms suggestive of endometriosis but clinical and imaging exams are inconclusive. Consequently, laparoscopy is usually necessary to confirm diagnosis. The present study aimed to evaluate the accuracy of microRNAs (miRNAs) to diagnose patients with SPE from the ENDOmiARN cohort STUDY DESIGN: This prospective study (NCT04728152) included 200 saliva samples obtained between January and June 2021 from women with pelvic pain suggestive of endometriosis. All patients underwent either laparoscopy and/or MRI to confirm the presence of endometriosis. Among the patients with endometriosis, two groups were defined: an SPE phenotype group of patients with peritoneal lesions only, and a non-SPE control group of patients with other endometriosis phenotypes (endometrioma and/or deep endometriosis). Data analysis consisted of two parts: (i) identification of a set of miRNA biomarkers using next-generation sequencing (NGS), and (ii) development of a saliva-based miRNA signature for the SPE phenotype in patients with endometriosis based on a Random Forest (RF) model. RESULTS: Among the 153 patients with confirmed endometriosis, 10.5 % (n = 16) had an SPE phenotype. Of the 2633 known miRNAs, the feature selection method generated a signature of 89 miRNAs of the SPE phenotype. After validation, the best model, representing the most accurate signature had a 100 % sensitivity, specificity, and AUC. CONCLUSION: This signature could constitute a new diagnostic strategy to detect the SPE phenotype based on a simple biological test and render diagnostic laparoscopy obsolete. PRéCIS: We generated a saliva-based signature to identify patients with superficial peritoneal endometriosis which is the most challenging form of endometriosis to diagnose and which is often either misdiagnosed or requires invasive laparoscopy.

Determinants of Conception and Adverse Pregnancy Outcomes in Women with Endometriosis: A Longitudinal Study.

Endometriosis, affecting approximately 10% of reproductive-aged women globally, poses significant challenges, including chronic pelvic pain, dysmenorrhea, and infertility. In low- and middle-income countries like India, accessibility to affordable infertility care remains a concern. This multicenter prospective cohort study, conducted across six tertiary care hospitals in India from 2017 to 2022, aims to explore the natural progression of conception and pregnancy outcomes in women with endometriosis. Of the 257 participants, 19.1% conceived during the study, revealing significant geographic and income-based variations (p < 0.001, p = 0.01). Dysmenorrhea (p < 0.001) and dyspareunia (p=0.027) were correlated with conception, while no such associations were found with chronic pelvic pain or menstrual factors. Lesion type, number, and severity showed no conclusive link with conception. Natural conception occurred in 70% of cases, with an average post-surgery conception time of 282.1 days. Live birth rate was 85.7%, while complications included placenta previa (16.4%), preeclampsia (4.1%), and preterm births (4.1%). This study, one of the first in India on endometriosis-related fertility progression, emphasizes the need for comprehensive understanding and management of conception and pregnancy outcomes. Considering India's substantial endometriosis burden, the study recommends prioritizing larger multicenter investigations for a better understanding and effective strategies for infertility management.

Neutrophil to lymphocytes ratio in deep infiltrating endometriosis as a new toll for clinical management.

Several mechanisms, including altered local and systemic immune system, apoptosis, and new angiogenesis, are responsible for the development and progression of endometriosis. Over the years many markers have been studied, like CA 125 and, recently, neutrophil-to-lymphocyte ratio (NLR). This tool is cost-effectiveness and non-invasiveness as a marker of systemic inflammatory diseases. The aim of this study is to assess the role of NLR in the real-life management of patients with endometriosis in order to evaluate the possible association between this value and symptoms. We performed a retrospective analysis of 199 premenopausal women affected by endometriosis, from January 2013 to December 2020, evaluating the characteristics of disease, the symptoms and the NLR. Analyzing the neutrophiles, the mean ± SD value was 6.1 ± 4.5 × 103/ul, while for lymphocytes mean ± SD value was 1.8 ± 0.7.NLR was categorized according to its median value (> 2.62 vs ≤ 2.62). The comparison between NLR values and CA 125, endometriosis stage, dysmenorrhea and presence of chronic pelvic pain, adjusting for previous therapy did not find a significant association. An interesting result, although not significant, was the association between NLR and chronic pelvic pain (OR = 1.9). In the sub-group of patients without previous therapy this association is even stronger (OR = 4.8, 95% CI 0.5-50.2, p = 0.190). The link between NLR and chronic pelvic pain can provide a further hint to the clinician even when taking symptoms into account to develop a particular therapeutic treatment related to the various expressions of NLR. Finally, NLR may enable the creation of customized follow-up protocols that divide patients into high- and low-risk categories for endometriosis recurrence.

Identification and validation of an endoplasmic-reticulum-stress-related gene signature as an effective diagnostic marker of endometriosis.

Background: Endometriosis is one of the most common benign gynecological diseases and is characterized by chronic pain and infertility. Endoplasmic reticulum (ER) stress is a cellular adaptive response that plays a pivotal role in many cellular processes, including malignant transformation. However, whether ER stress is involved in endometriosis remains largely unknown. Here, we aimed to explore the potential role of ER stress in endometriosis, as well as its diagnostic value. Methods: We retrieved data from the Gene Expression Omnibus (GEO) database. Data from the GSE7305 and GSE23339 datasets were integrated into a merged dataset as the training cohort. Differentially expressed ER stress-related genes (DEG-ERs) were identified by integrating ER stress-related gene profiles downloaded from the GeneCards database with differentially expressed genes (DEGs) in the training cohort. Next, an ER stress-related gene signature was identified using LASSO regression analysis. The receiver operating characteristic curve was used to evaluate the discriminatory ability of the constructed model, which was further validated in the GSE51981 and GSE105764 datasets. Online databases were used to explore the possible regulatory mechanisms of the genes in the signature. Meanwhile, the CIBERSORT algorithm and Pearson correlation test were applied to analyze the association between the gene signature and immune infiltration. Finally, expression levels of the signature genes were further detected in clinical specimens using qRT-PCR and validated in the Turku endometriosis database. Results: In total, 48 DEG-ERs were identified in the training cohort. Based on LASSO regression analysis, an eight-gene-based ER stress-related gene signature was constructed. This signature exhibited excellent diagnostic value in predicting endometriosis. Further analysis indicated that this signature was associated with a compromised ER stress state. In total, 12 miRNAs and 23 lncRNAs were identified that potentially regulate the expression of ESR1, PTGIS, HMOX1, and RSAD2. In addition, the ER stress-related gene signature indicated an immunosuppressive state in endometriosis. Finally, all eight genes showed consistent expression trends in both clinical samples and the Turku database compared with the training dataset. Conclusions: Our work not only provides new insights into the impact of ER stress in endometriosis but also provides a novel biomarker with high clinical value.

Rare but Still There: A Scoping Review on Endometriosis-Associated Ovarian Cancer.

Endometriosis is a medical condition affecting at least up to 10% of women of reproductive age. This condition occurs when ectopic endometrial glands and stroma implant outside the uterus and there are several theories regarding the underlying origins of the disease. Endometriosis is one of the major causes of severe dysmenorrhoea, chronic pelvic pain and infertility. While endometriosis is generally a non-malignant condition, it rarely may transform into an invasive cancer, and increase the risk for epithelial ovarian cancer, notably endometrioid or clear cell ovarian cancer. Despite the increased risk, the mechanisms behind the development of endometriosis-associated ovarian cancer (EAOC) are not yet well understood. Recent investigations have delved into the intricate interplay between endometriosis and EAOC, exploring pathways involving oxidative stress, inflammation, hyperestrogenism, and the discovery of genetic mutations within endometriotic lesions that hint at a transition towards invasive carcinoma. Efforts have been made to identify intermediary lesions between endometriosis and EAOC, which may enable earlier detection of endometriosis at risk of malignant transformation or even prevention of the transformation altogether. However, given the rarity of this malignancy, there is still the risk of late or missed diagnosis, with the risk of inappropriate management being offered to the patient, and the higher risk of poor prognosis and increased morbidity and mortality. This scoping review aims to summarize existing data on EAOC, with a focus on endometrioid and clear cell histologic subtypes. It also provides insights into its identification, prognosis, and delineating management strategies, seeking to provide a holistic understanding of the complexities surrounding EAOC, facilitating further research and the development of more effective prevention and treatment approaches.

Postmenopausal endometriosis: a challenging condition beyond menopause.

IMPORTANCE AND OBJECTIVE: Postmenopausal endometriosis is a complex condition that challenges the conventional belief that endometriosis resolves with menopause. Despite the cessation of menstruation, a subset of women continues to experience or develop endometriosis-related symptoms during the postmenopausal period. Thus, this review aimed to shed light on postmenopausal endometriosis, exploring its clinical features, diagnostic considerations, management approaches, and the potential impact on women's health. METHODS: PubMed/Medline, Scopus, and Web of Science databases were used for the research, with only articles in English language, using the following terms: "postmenopausal endometriosis," "menopause," "management," "treatment," and "quality of life," from inception to 2023. DISCUSSION AND CONCLUSION: The clinical features of postmenopausal endometriosis include persistent or recurrent pelvic pain, dyspareunia, bowel, or urinary symptoms and, occasionally, abnormal vaginal bleeding. The absence of menstrual cycles presents a diagnostic challenge, as the traditional diagnostic criteria for endometriosis rely on menstrual patterns. Visual cues may be less evident, and the symptoms often overlap with other gynecological conditions, necessitating a thorough evaluation to differentiate postmenopausal endometriosis from other potential causes. Management approaches for postmenopausal endometriosis encompass surgical intervention, hormonal therapies, pain management, and individualized care. Postmenopausal endometriosis significantly impacts the quality of life, sexual health, and long-term well-being of women. Understanding the clinical features, diagnostic challenges, and management approaches of postmenopausal endometriosis is crucial for healthcare professionals to provide effective care and to improve the quality of life of women affected by this condition.

Mining phase separation-related diagnostic biomarkers for endometriosis through WGCNA and multiple machine learning techniques: a retrospective and nomogram study.

OBJECTIVE: The objective of this study was to investigate the role of phase separation-related genes in the development of endometriosis (EMs) and to identify potential characteristic genes associated with the condition. METHODS: We used GEO database data, including 74 non-endometriosis and 74 varying-degree EMs patients. Our approach involved identifying significant gene modules, exploring gene intersections, identifying core genes, and screening for potential EMs biomarkers using weighted gene co-expression network analysis (WGCNA) and various machine learning approaches. We also performed gene set enrichment analysis (GSEA) to understand relevant pathways. This comprehensive approach helps investigate EMs genetics and potential biomarkers. RESULTS: Nine genes were identified at the intersection, suggesting their involvement in EMs. GSEA linked DEGs to pathways like complement and coagulation cascades, DNA replication, chemokines, apical plasma membrane processes, and diseases such as Hepatitis B, Human T-cell leukemia virus 1 infection, and COVID-19. Five feature genes (FOS, CFD, CCNA1, CA4, CST1) were selected by machine learning for an effective EMs diagnostic nomogram. GSEA indicated their roles in mismatch repair, cell cycle regulation, complement and coagulation cascades, and IL-17 inflammation. Notable differences in immune cell proportions (CD4 T cells, CD8 T cells, DCs, macrophages) were observed between normal and disease groups, suggesting immune involvement. CONCLUSIONS: This study suggests the potential involvement of phase separation-related genes in the pathogenesis of endometriosis (EMs) and identifies promising biomarkers for diagnosis. These findings have implications for further research and the development of new therapeutic strategies for EMs.

The Antigen-Processing Pathway via Major Histocompatibility Complex I as a New Perspective in the Diagnosis and Treatment of Endometriosis.

Endometriosis is a debilitating gynecological disease defined as the presence of endometrium-like epithelium and/or stroma outside the uterine cavity. The most commonly affected sites are the pelvic peritoneum, ovaries, uterosacral ligaments, and the rectovaginal septum. The aberrant tissue responds to hormonal stimulation, undergoing cyclical growth and shedding similar to appropriately located endometrial tissue in the uterus. Common symptoms of endometriosis are painful periods and ovulation, severe pelvic cramping, heavy bleeding, pain during sex, urination and bowel pain, bleeding, and pain between periods. Numerous theories have been proposed to explain the pathogenesis of endometriosis. Sampson's theory of retrograde menstruation is considered to be the most accepted. This theory assumes that endometriosis occurs due to the retrograde flow of endometrial cells through the fallopian tubes during menstruation. However, it has been shown that this process takes place in 90% of women, while endometriosis is diagnosed in only 10% of them. This means that there must be a mechanism that blocks the immune system from removing endometrial cells and interferes with its function, leading to implantation of the ectopic endometrium and the formation of lesions. In this review, we consider the contribution of components of the Major Histocompatibility Complex (MHC)-I-mediated antigen-processing pathway, such as the ERAP, TAP, LMP, LNPEP, and tapasin, to the susceptibility, onset, and severity of endometriosis. These elements can induce significant changes in MHC-I-bound peptidomes that may influence the response of immune cells to ectopic endometrial cells.

Endometriosis-associated spontaneous major haemoperitoneum in pregnancy.

Spontaneous haemoperitoneum in pregnancy (SHiP) related to endometriosis is a rare and life-threatening complication. We report a case of a patient presenting to our department with major haemoperitoneum at 23+3 weeks of gestation due to a large rectovaginal endometriotic nodule. The patient required a midline laparotomy to evacuate 1 L of haemoperitoneum and achieve haemostasis. A large rectovaginal nodule was seen bleeding and was packed with haemostatic material and a large swab. After 24 hours, the swab was removed and haemostasis was confirmed. The patient was monitored very closely by a multidisciplinary team and the pregnancy was allowed to continue to try and achieve a better outcome for the baby and at 28 weeks of gestation, a girl was delivered in good condition via caesarean section.

Translocator protein expression and localization in human endometrium and endometriosis: A potential target for a noninvasive diagnosis?

The limitations of current imaging methods to detect small or superficial endometriotic lesions prompt the search for new molecular targets. TSPO is an 18 KDa protein located in the outer mitochondrial membrane, which can be traced by positron emission tomography (PET) using specific ligands. TSPO is located mostly in neurons and inflammatory sites outside the brain. We hypothesized that it might also be expressed in the human endometrium and endometrial-like tissue, being a target for molecular imaging of endometriosis. This prospective cross-sectional study included 28 women with endometriosis and 11 endometriosis-free controls. Endometriotic lesions (n = 49) and normal peritoneum (n = 13) from endometriosis patients were obtained during laparoscopy, while samples of eutopic endometrium from patients with endometriosis (n = 28) and from control women (n = 11) were collected in the operating room using a flexible device. TSPO mRNA expression was evaluated by quantitative reverse-transcription real-time PCR while protein expression was evaluated by immunohistochemistry with a monoclonal antibody antihuman TSPO. TSPO mRNA expression was detected in an invariable fashion in all tissue types evaluated; however, TSPO protein was found to be more abundant in the glandular epithelium than in the stroma, both in the endometrium and in the endometriotic lesions. Interestingly, hormone therapies did not alter the expression of TSPO, and its presence was mostly negative in tissues adjacent to endometriotic implants. As a proof of concept, the protein expression pattern of TSPO in endometriotic tissue and along the adjacent areas suggests that TSPO-based molecular imaging might be used for noninvasive endometriosis detection.