Single-cell transcriptome analysis reveals endometrial immune microenvironment in minimal/mild endometriosis

Multigenerational exposure to DEHP drives dysregulation of imprinted gene Snurf to impair decidualization

Phthalate-induced female reproductive health issues, particularly those related to di (2-ethylhexyl) phthalate (DEHP), are growing global concerns. Although most studies have focused on single-generation exposure, studies on prolonged DEHP exposure across multiple generations are limited. This study assessed the effects of multigenerational DEHP exposure on endometrial decidualization, which is crucial for embryo implantation. The results showed that sustained DEHP exposure over three generations exacerbated decidualization injury and led to adverse pregnancy outcomes. RNA sequencing revealed upregulation of the imprinted gene Snurf in the decidua, with changes that may not depend on alterations in DNA methylation. Knockdown of Snurf significantly alleviated in vitro decidualization deficiency induced by mono(2-ethylhexyl) phthalate (MEHP), the biologically active metabolite of DEHP. Proteomic analysis and the AlphaFold 3 algorithm indicated that Stn1 is a downstream target of Snurf, with silencing Stn1 resensitizing Snurf-knockdown stromal cells to MEHP. Human decidual stromal cells (hDSCs) from healthy participants showed sensitivity to MEHP, with the inhibition of decidualization. Epidemiological data from the 2017-2018 National Health and Nutrition Examination Survey (NHANES) indicated a positive association between DEHP exposure and female infertility. This study highlighted the cumulative toxic effects of multigenerational DEHP exposure on female reproduction and revealed the contribution of imprinted genes.

The human endometrium: atlases, models, and prospects

Approximately every month, the human endometrium undergoes a cycle of proliferation, differentiation, and, in the absence of pregnancy, shedding and repair. Each cycle relies on intricate interorgan coordination of hormonal secretions. Endometrial dysfunction causes significant health complications, including abnormal menstrual bleeding and endometriosis. However, effective diagnosis and treatments are hampered by understudied aetiology. Recent single-cell profiling has disentangled the diverse and dynamic nature of the endometrium, revealing regulatory roles of WNT, NOTCH, and TGFβ signalling. These insights have informed mechanistic studies enabled by advanced in vitro models that capture endometrial cellular heterogeneity and structure. In this review, we outline key single-cell transcriptomics atlases and models that provided new avenues for studying endometrial biology, discuss their limitations, and propose future directions.

Endometriosis and adenomyosis unveiled through single-cell glasses

Single-cell technologies are expanding our understanding of endometriosis and adenomyosis, which are sister disorders of the uterine endometrium that contain similar complements of lesion cell types but in different locations-outside and inside the uterus, respectively. Both diseases cause significant morbidity and impaired quality of life among those affected, and current therapies mitigate most of the symptoms although with highly variable efficacy, duration of effect, and frequent intolerable side effects. Thus, there is a pressing need for transformative approaches and to develop individualized therapies for the variety of presentations of endometriosis and adenomyosis symptoms and the heterogeneity of lesion types, both histologically and architecturally. Single-cell technologies are transforming the understanding of human physiology and pathophysiology in the reproductive system and beyond. This manuscript reviews the clinical characteristics of endometriosis and adenomyosis and the recent studies focused on eutopic endometrium and ectopic lesions at single-cell resolution, the myriad of cell types and subtypes, cell-cell communications, signaling pathways, applications for novel drug discovery and therapeutic approaches, and challenges and opportunities that accompany this type of research. Key take-home messages from the studies reviewed herein include the following: We conclude the review with an eye to the future-what Alice might see beyond the single-cell looking glass that connects endometrium and endometrial disorders with the trillions of cells of other tissues and organs in health and disease throughout the human body and the opportunities for novel diagnostic modalities and drug discovery for endometriosis, adenomyosis, and related uterine and inflammatory conditions.

Endometriosis and autoimmunity

Endometriosis is a female-specific chronic condition that affects 1 in 10 women and other individuals with a uterus worldwide with common symptoms that include pelvic pain and infertility. Reliable and effective non-invasive biomarkers for endometriosis do not exist, and therefore currently a diagnosis of endometriosis requires direct visualization of lesions at surgery. Similarly, few safe and effective management strategies exist for endometriosis, with hormonal interventions and surgery only providing temporary symptom control. The development of endometriosis involves the implantation and proliferation of ectopic endometrial cells which triggers local and systemic inflammation and fibrosis. While multiple genetic, environmental, and lifestyle factors appear to influence the natural history of endometriosis, chronic inflammation is a hallmark feature associated with development and progression of the disease. Data further shows that endometriosis commonly co-occurs with autoimmune diseases, adding evidence that immune dysfunction likely contributes to the pathogenesis of this disorder. Specific innate and adaptive immune system drivers of endometriosis remain to be identified and additional research is needed to elucidate the mechanistic underpinnings of this debilitating disease. In this narrative review, we discuss the shared biological mechanisms and plausible immune-related connections between endometriosis and autoimmunity.

Update on the pathogenesis of endometriosis-related infertility based on contemporary evidence

Endometriosis, the most prevalent cause of infertility, is associated with anatomical distortion leading to adhesions and fibrosis, as well as endocrine abnormalities and immune disorders. This review discusses the mechanisms underlying endometriosis-related infertility. Firstly, alterations in the hypothalamic-pituitary-ovarian axis lead to the secretion of gonadotropins and steroid hormones, with adverse effects on ovulation and implantation, leading to fertility decline. Secondly, dysregulation of the hypothalamic-pituitary-adrenal axis induces elevated serum cortisol and prolactin levels in patients with endometriosis, accounting for its regulation of stress, depression, and anxiety. Abnormal interactions between endometrial cells and the immune system change the local microenvironment, resulting in epithelial-mesenchymal transition and inflammation. Activated epithelial cells, stromal cells, and immunocytes produce various chemokines, cytokines, or autoantibodies, creating an unfavorable environment for embryo implantation. These findings suggest that alterations in the immune spectrum play a crucial role in endometriosis-related infertility. Thirdly, oxidative stress has adverse effects on the ovarian reserve and subsequent embryonic development, predicting another promising strategy for endometriosis-related infertility. An unbalanced redox state, including impaired mitochondrial function, dysregulated lipid metabolism, and iron-induced oxidative stress, generates a pro-oxidative microenvironment, which negatively impacts oocyte quality and sperm and embryo viability. Thus, an updated understanding of the mechanisms involved in this disease will help to develop effective strategies to manage endometriosis-related infertility.

Integration of Single Cell and Bulk RNA-Sequencing Reveals Key Genes and Immune Cell Infiltration to Construct a Predictive Model and Identify Drug Targets in Endometriosis

Purpose

Endometriosis is a common chronic neuroinflammatory disease with a poorly understood pathogenesis. Molecular changes and specific immune cell infiltration in the eutopic endometrium are critical to disease progression. This study aims to explore immune mechanisms and molecular differences in the proliferative eutopic endometrium of endometriosis by integrating bulk RNA-seq and single-cell RNA sequencing (scRNA-seq) data, and to develop diagnostic and predictive models for the disease.

Methods

Gene expression profiles from the proliferative endometrium of endometriosis patients and healthy controls were obtained from the Gene Expression Omnibus. Single-cell RNA-seq data were processed using R packages, and cell clusters' contributions to endometriosis were calculated. Differentially expressed genes (DEGs) from bulk RNA-seq were intersected with significant mesenchymal cell genes from scRNA-seq, and a predictive model was constructed using LASSO analysis. Key gene mechanisms were explored through Gene Set Enrichment and Variation Analyses. miRNA networks and transcriptional regulation analyses were conducted, and potential drugs were predicted using the Connectivity Map database. RT-qPCR validated key gene expression.

Results

Mesenchymal cells in the proliferative eutopic endometrium were identified as major contributors to endometriosis pathogenesis. LASSO regression identified eight key genes: SYNE2, TXN, NUPR1, CTSK, GSN, MGP, IER2, and CXCL12. The predictive model based on these genes achieved AUC values of 1.00 and 0.8125 in training and validation cohorts. Immune infiltration analysis showed increased CD8+ T cells and monocytes in the eutopic endometrium of endometriosis patients. Drug target prediction indicated that drugs like Retinol, Orantinib, Piperacillin, and NECA were negatively correlated with the expression profiles of endometriosis. RT-qPCR validated gene expression in patients aligned with bioinformatics analysis.

Conclusion

Significant transcriptomic changes and altered immune cell infiltration in the proliferative eutopic endometrium potentially contribute to endometriosis pathogenesis. Our predictive model based on the key genes demonstrates high diagnostic accuracy, offering insights for diagnosis and potential treatment strategies.

Perturbations of the endometrial immune microenvironment in endometriosis and adenomyosis: their impact on reproduction and pregnancy

The impact of endometriosis and adenomyosis on reproduction and pregnancy is significant, with both conditions linked to increased rates of infertility, poor ovarian function in women with endometriosis, and elevated pregnancy complications in those with adenomyosis. However, the underlying mechanisms remain largely unclear. Both conditions share a similar pathophysiological process characterized by the growth of ectopic endometrium, which may originate from the eutopic endometrium. Notably, surgical removal of ectopic lesions does not appear to significantly improve reproductive and pregnancy outcomes, further underscoring the importance of eutopic endometrium in these adverse effects. Emerging evidence indicates substantial differences in endometrial NK cells, macrophages, and T cells, leading to inflammatory responses in women with endometriosis and adenomyosis. These alterations may contribute not only to disease progression but also to defective endometrial receptivity, insufficient angiogenesis remodeling, impaired maternal-fetal immune tolerance, and poor placentation, thereby influencing embryo implantation and pregnancy maintenance. This provides an immunological perspective to explain the higher rates of infertility and pregnancy complications observed in affected women. Therefore, we systematically review the alterations in endometrial immune cells in women with endometriosis and adenomyosis compared to healthy controls, exploring the potential impacts of these changes on reproduction and pregnancy. This review aims to lay the groundwork for future studies on the immunopathogenesis associated with endometriosis and adenomyosis-related reproductive failure and pregnancy complications, shedding lights on the development of immunotherapeutic strategies to mitigate these adverse impacts in affected women.

Real world perspectives on endometriosis disease phenotyping through surgery, omics, health data, and artificial intelligence

Endometriosis is an enigmatic disease whose diagnosis and management are being transformed through innovative surgical, molecular, and computational technologies. Integrating single-cell and other omic disease data with clinical and surgical metadata can identify multiple disease subtypes with translation to novel diagnostics and therapeutics. Herein, we present real-world perspectives on endometriosis and the importance of multidisciplinary collaboration in informing molecular, epidemiologic, and cell-specific data in the clinical and surgical contexts.

Single-cell and spatial transcriptomic profiling revealed niche interactions sustaining growth of endometriotic lesions

Endometriosis is a chronic condition with limited therapeutic options. The molecular aberrations promoting ectopic attachment and interactions with the local microenvironment sustaining lesion growth have been unclear, prohibiting development of targeted therapies. Here, we performed single-cell and spatial transcriptomic profiling of ectopic lesions and eutopic endometrium in endometriosis. We found that ectopic endometrial stromal (EnS) cells retained cyclical gene expression patterns of their eutopic counterparts while exhibiting unique gene expression that contributes to the pathogenesis of endometriosis. We identified two distinct ovarian stromal cells (OSCs) localized at different zones of the lesion, showing differential gene expression profiles associated with fibrosis and inflammation, respectively. We also identified WNT5A upregulation and aberrant activation of non-canonical WNT signaling in endometrial stromal cells that may contribute to the lesion establishment, offering novel targets for therapeutic intervention. These data will enhance our understanding of the molecular mechanisms underlying endometriosis and paves the way for developing non-hormonal treatments.

The Estrogen-Immune Interface in Endometriosis

Endometriosis is a gynecologic condition characterized by the growth of endometrium-like stroma and glandular elements outside of the uterine cavity. The involvement of hormonal dysregulation, specifically estrogen, is well established in the initiation, progression, and maintenance of the condition. Evidence also highlights the association between endometriosis and altered immune states. The human endometrium is a highly dynamic tissue that undergoes frequent remodeling in response to hormonal regulation during the menstrual cycle. Similarly, endometriosis shares this propensity, compounded by unclear pathogenic mechanisms, presenting unique challenges in defining its etiology and pathology. Here, we provide a lens to understand the interplay between estrogen and innate and adaptive immune systems throughout the menstrual cycle in the pathogenesis of endometriosis. Estrogen is closely linked to many altered inflammatory and immunomodulatory states, affecting both tissue-resident and circulatory immune cells. This review summarizes estrogenic interactions with specific myeloid and lymphoid cells, highlighting their implications in the progression of endometriosis.

NK-92 cells activated by IL-2 inhibit the progression of endometriosis in vitro

BACKGROUND

Interleukin (IL)-2 is a key cytokine capable of modulating the immune response by activating natural killer (NK) cells. This study was recruited to explore the therapeutic potential of IL-2-activated NK-92 cells in endometriosis in vitro.

METHODS

Ectopic endometrial stromal cells (EESCs) were isolated and co-cultured with IL-2-activated NK-92 cells at varying effector-to-target (E:T) ratios (1:0 [Control], 1:1, 1:3, and 1:9). The viability, cytotoxicity, and cell surface antigen expression of IL-2-activated NK-92 cells were assessed. The viability, apoptosis, invasion, and migration ability of EESCs co-cultured with NK-92 cells at different ratios were evaluated. The apoptosis-related proteins, invasion and migration-related proteins as well as MEK/ERK pathway were examined via western blot. Each experiment was repeated three times.

RESULTS

IL-2 activation enhanced NK-92 cytotoxicity in a concentration-dependent manner. Co-culturing EESCs with IL-2-activated NK-92 cells at E:T ratios of 1:1, 1:3, and 1:9 reduced EESC viability by 20%, 45%, and 70%, respectively, compared to the control group. Apoptosis rates in EESCs increased in correlation with the NK-92 cell proportion, with the highest rate observed at a 1:9 ratio. Moreover, EESC invasion and migration were significantly inhibited by IL-2-activated NK-92 cells, with a 60% reduction in invasion and a 50% decrease in migration at the 1:9 ratio. Besides, the MEK/ERK signalling pathway was down-regulated in EESCs by IL-2-activated NK-92 cells.

CONCLUSION

IL-2-activated NK-92 cells exhibit potent cytotoxic effects against EESCs. They promote EESC apoptosis and inhibit viability, invasion, and migration through modulating the MEK/ERK signalling pathway.

An integrated single-cell reference atlas of the human endometrium

The complex and dynamic cellular composition of the human endometrium remains poorly understood. Previous endometrial single-cell atlases profiled few donors and lacked consensus in defining cell types. We introduce the Human Endometrial Cell Atlas (HECA), a high-resolution single-cell reference atlas (313,527 cells) combining published and new endometrial single-cell transcriptomics datasets of 63 women with and without endometriosis. HECA assigns consensus and identifies previously unreported cell types, mapped in situ using spatial transcriptomics and validated using a new independent single-nuclei dataset (312,246 nuclei, 63 donors). In the functionalis, we identify intricate stromal-epithelial cell coordination via transforming growth factor beta (TGFβ) signaling. In the basalis, we define signaling between fibroblasts and an epithelial population expressing progenitor markers. Integration of HECA with large-scale endometriosis genome-wide association study data pinpoints decidualized stromal cells and macrophages as most likely dysregulated in endometriosis. The HECA is a valuable resource for studying endometrial physiology and disorders, and for guiding microphysiological in vitro systems development.

Endometriotic lesions exhibit distinct metabolic signature compared to paired eutopic endometrium at the single-cell level

Current therapeutics of endometriosis focus on hormonal disruption of endometriotic lesions (ectopic endometrium, EcE). Recent findings show higher glycolysis utilization in EcE, suggesting non-hormonal strategy for disease treatment that addresses cellular metabolism. Identifying metabolically altered cell types in EcE is important for targeted metabolic drug therapy without affecting eutopic endometrium (EuE). Here, using single-cell RNA-sequencing, we examine twelve metabolic pathways in paired samples of EuE and EcE from women with confirmed endometriosis. We detect nine major cell types in both EuE and EcE. Metabolic pathways are most differentially regulated in perivascular, stromal, and endothelial cells, with the highest changes in AMPK signaling, HIF-1 signaling, glutathione metabolism, oxidative phosphorylation, and glycolysis. We identify transcriptomic co-activation of glycolytic and oxidative metabolism in perivascular and stromal cells of EcE, indicating a critical role of metabolic reprogramming in maintaining endometriotic lesion growth. Perivascular cells, involved in endometrial stroma repair and angiogenesis, may be potential targets for non-hormonal treatment of endometriosis.

Exploring the Influence of IL-8, IL-10, Patient-Reported Pain, and Physical Activity on Endometriosis Severity

Endometriosis is known to be a chronic, debilitating disease. The pathophysiological mechanisms of endometriosis development include local chronic inflammation and a certain degree of local immune deficit. We investigated the relationship between the endometriosis severity, IL-8, IL-10, BDNF, VEGF-A serum and tissue levels, patient-related pain, and physical activity in a cohort of 46 patients diagnosed with endometriosis who underwent surgery. The same panel of biomarkers was investigated in a control group of 44 reproductive-aged patients with non-endometriotic gynecological pathology who underwent surgical intervention. Our data show a high statistical significance between tissue expression of IL-8, IL-10, patient-related pain, and the severity of endometriosis. No relationship was identified between serum or tissue levels of VEGF-A and BDNF and the severity of endometriosis. These results validate the presence of local chronic inflammation and immune deficit, thereby creating, alongside other studies in the field, an opportunity for the development of innovative and personalized treatment approaches in endometriosis.

The role of regulatory T-cells in the development of endometriosis

Endometriosis is a benign disease of the female reproductive tract, characterized by the process of chronic inflammation and alterations in immune response. It is estimated to affect 2-19% of women in the general population and is commonly associated with symptoms of chronic pelvic pain and infertility. Regulatory T cells (Treg) are a subpopulation of T lymphocytes that are potent suppressors of inflammatory immune response, essential in preventing destructive immunity in all tissues. In endometriosis, several studies have investigated the possible role of Treg cells in the development of the disease. Most studies to date are heterogeneous in methodology and are based on a small number of cases, which means that it is impossible to define their exact role at present. Based on current knowledge, it seems that disturbed Treg homeostasis, leading to increased systemic and local inflammation within ectopic and eutopic endometrium, is present in women who eventually develop endometriosis. It is also evident that different subsets of human Treg cells have different roles in suppressing the immune response. Recent studies in patients with endometriosis have investigated naive/resting FOXP3lowCD45RA+ Treg cells, which upon T cell receptor stimulation, differentiate into activated/effector FOXP3highCD45RA- Treg cells, characterized by a strong immunosuppressive activity. In addition, critical factors controlling expression of Treg/effector genes, including reactive oxygen species and heme-responsive master transcription factor BACH2, were found to be upregulated in endometriotic lesions. As shown recently for cancer microenvironments, microbial inflammation may also contribute to the local composition of FOXP3+ subpopulations in endometriotic lesions. Furthermore, cytokines, such as IL-7, which control the homeostasis of Treg subsets through the tyrosine phosphorylation STAT5 signalling pathway, have also been shown to be dysregulated. To better understand the role of Treg in the development of endometriosis, future studies should use clear definitions of Tregs along with specific characterization of the non-Treg (FOXP3lowCD45RA-) fraction, which itself is a mixture of follicular Tregs and cells producing inflammatory cytokines.

Transcriptomic changes in eutopic endometrium and ectopic lesions during endometriosis progression in a mouse model

OBJECTIVE

To identify the transcriptomic changes of ectopic lesions and eutopic endometrial tissues during the progression of endometriosis, we performed transcriptomic analysis in the eutopic endometrium and ectopic lesions.

DESIGN

Laboratory study.

SETTING

Academic medical center.

ANIMALS

Four fertile and 4 subfertile Pgrcre/+Rosa26mTmG/+ mice with endometriosis, and 4 sham mice for each group of endometriosis mice as control. These mice underwent either surgery to induce endometriosis or sham surgery. Fertile sham and mice with endometriosis were used 1 month after surgery, whereas subfertile ones were used 3 months after surgery.

INTERVENTIONS

Early and chronic effects of endometriosis on transcriptomics of ectopic lesions and eutopic endometrium.

MAIN OUTCOME MEASURES

RNA-sequencing analysis and identification of differentially expressed genes and pathways in the ectopic lesions and eutopic uteri from mice with endometriosis and sham mice at day 3.5 of pregnancy.

RESULTS

Our mouse model recapitulates the transcriptomic changes of ectopic lesions in humans. RNA-sequencing analysis was performed in ectopic lesions and eutopic uteri from mice with or without endometriosis during the progression of the disease. Estrogen activity, inflammation, angiogenesis, and fibrosis pathways were consistently elevated in all the ectopic lesions compared with eutopic endometrium. Cholesterol/glucose synthesis and stem cell pluripotency pathways were more enhanced in ectopic lesions from subfertile mice compared with their eutopic endometrium. Dysregulation of infiltration of macrophage, dendritic, T and B cells was validated with the use of immunohistochemistry in ectopic lesions. Multiple ligand-receptor pairs between the ectopic and eutopic endometrium were altered compared with the sham endometrium. Suppressed WNT and EGF pathways were only found in the eutopic endometrium from subfertile not fertile mice compared with sham.

CONCLUSIONS

Our mouse endometriosis model recapitulates the transcriptomics of ectopic lesions in humans. Our transcriptomic analysis during endometriosis progression in our mouse model will help us understand the pathophysiology of endometriosis.

Increased Expression of TGF-β1 Contributes to the Downregulation of Progesterone Receptor Expression in the Eutopic Endometrium of Infertile Women with Minimal/Mild Endometriosis

Endometriosis is a hormone-dependent disease associated with impaired immunoregulation. In our recent study, we have characterized the trascriptomic transformation of eutopic endometrium from patients with minimal/mild endometriosis and controls across the menstrual cycle. However, the regulatory mechanism of altered immune microenvironment in eutopic endometrial stromal cells (ESCs) remains unclear. Here, we want to explore the regulation of immune cell to progesterone resistance and endometrial receptivity in the eutopic ESCs by cytokine (TGF-β1), and to understand the effect of TGF-β1 on the decidualization of the eutopic ESCs. Primary culture of eutopic ESCs was performed to explore the effects of TGF-β1 on the expression of Smad and progesterone receptor (PR) and the in vitro decidualization. Additionally, co-immunoprecipitation (Co-IP) was used to explore the direct interaction between Smad and PR. We found an attenuate expression of PRB protein (p=0.026) after using TGF-β1 in eutopic ESCs, although the difference of PRA before and after treatment was not significant (p=0.678). Similarly, the results of qRT-PCR showed that the mRNA level of PR (p<0.001), PRB (p=0.003) and HOXA10 (p<0.001) decreased significantly after TGF-β1 treatment, but that increased (p<0.023, for all) after SB431542 treatment in the eutopic ESCs. Moreover, TGF-β1 has a negative effect on the in vitro decidualization of eutopic ESCs (p=0.003). And the group with treatment of both TGF-β1 and SB435142 in eutopic ESCs showed significant decidual-like changes with increased prolactin level (p=0.01). We did not observe any physical interaction between the PR and p-Smad3/Smad3 proteins by using Co-IP. By activating TGF-β/Smad signaling in eutopic ESCs, elevated TGF-β1 from CD45+ immune cells could attenuate expression of PR, and further decrease endometrial receptivity.

Transfer learning for clustering single-cell RNA-seq data crossing-species and batch, case on uterine fibroids

Due to the high dimensionality and sparsity of the gene expression matrix in single-cell RNA-sequencing (scRNA-seq) data, coupled with significant noise generated by shallow sequencing, it poses a great challenge for cell clustering methods. While numerous computational methods have been proposed, the majority of existing approaches center on processing the target dataset itself. This approach disregards the wealth of knowledge present within other species and batches of scRNA-seq data. In light of this, our paper proposes a novel method named graph-based deep embedding clustering (GDEC) that leverages transfer learning across species and batches. GDEC integrates graph convolutional networks, effectively overcoming the challenges posed by sparse gene expression matrices. Additionally, the incorporation of DEC in GDEC enables the partitioning of cell clusters within a lower-dimensional space, thereby mitigating the adverse effects of noise on clustering outcomes. GDEC constructs a model based on existing scRNA-seq datasets and then applying transfer learning techniques to fine-tune the model using a limited amount of prior knowledge gleaned from the target dataset. This empowers GDEC to adeptly cluster scRNA-seq data cross different species and batches. Through cross-species and cross-batch clustering experiments, we conducted a comparative analysis between GDEC and conventional packages. Furthermore, we implemented GDEC on the scRNA-seq data of uterine fibroids. Compared results obtained from the Seurat package, GDEC unveiled a novel cell type (epithelial cells) and identified a notable number of new pathways among various cell types, thus underscoring the enhanced analytical capabilities of GDEC. Availability and implementation: https://github.com/YuzhiSun/GDEC/tree/main.

The Pathological Role of miRNAs in Endometriosis

Association studies investigating miRNA in relation to diseases have consistently shown significant alterations in miRNA expression, particularly within inflammatory pathways, where they regulate inflammatory cytokines, transcription factors (such as NF-κB, STAT3, HIF1α), and inflammatory proteins (including COX-2 and iNOS). Given that endometriosis (EMS) is characterized as an inflammatory disease, albeit one influenced by estrogen levels, it is natural to speculate about the connection between EMS and miRNA. Recent research has indeed confirmed alterations in the expression levels of numerous microRNAs (miRNAs) in both endometriotic lesions and the eutopic endometrium of women with EMS, when compared to healthy controls. The undeniable association of miRNAs with EMS hints at the emergence of a new era in the study of miRNA in the context of EMS. This article reviews the advancements made in understanding the pathological role of miRNA in EMS and its association with EMS-associated infertility. These findings contribute to the ongoing pursuit of developing miRNA-based therapeutics and diagnostic markers for EMS.

Tumor-derived Endothelial Cell: Important Etiological Factors in Endometriosis

BACKGROUND AND AIM

Endometriosis (EMS) is a very complex disease with high heterogeneity. Recently, single-cell RNA sequencing (scRNA-seq) has been applied to comprehensively characterize cellular heterogeneity. Here, we built a new transcriptomic profile of EMS cellular signatures.

METHODS

Three women diagnosed with endometriosis were recruited. Their fresh eutopic endometrium (EM) and ectopic endometrium (EC) tissues were sampled during surgery. ScRNA-seq was performed on 10x Genomics Chromium.

RESULTS

Thirty cell clusters were identified as more than ten different cell types using cell type-specific marker genes. Re-clustering analysis revealed five subtypes of endothelial cells (ECs). Compared to EM, the proportion of tumor-derived ECs (IGFBP3+) was significantly increased in EC (43.8 vs. 16.0%). 63 differentially expressed genes (DEGs) between tumor-derived ECs and normal ECs were enriched in "angiogenesis", such as EFNB2, DLL4, and THSD7A. Subsequently, 114 retrospective EMS cases were included in clinical validation studies of EFNB2. It was co-expressed with PECAM1 and IGFBP3 and significantly increased in EC. Meanwhile, the recurrence rate of women with EFNB2++ expression was significantly higher than that of EFNB2+ cases (p <0.05).

CONCLUSIONS

The significant increase in tumor-derived ECs characterized by neovascularization may be an important pathological feature of EMS. In addition, EFNB2 plays an important role and is closely related to the recurrence of EMS.

Endometriosis in the era of precision medicine and impact on sexual and reproductive health across the lifespan and in diverse populations

Endometriosis is a common estrogen-dependent disorder wherein uterine lining tissue (endometrium) is found mainly in the pelvis where it causes inflammation, chronic pelvic pain, pain with intercourse and menses, and infertility. Recent evidence also supports a systemic inflammatory component that underlies associated co-morbidities, e.g., migraines and cardiovascular and autoimmune diseases. Genetics and environment contribute significantly to disease risk, and with the explosion of omics technologies, underlying mechanisms of symptoms are increasingly being elucidated, although novel and effective therapeutics for pain and infertility have lagged behind these advances. Moreover, there are stark disparities in diagnosis, access to care, and treatment among persons of color and transgender/nonbinary identity, socioeconomically disadvantaged populations, and adolescents, and a disturbing low awareness among health care providers, policymakers, and the lay public about endometriosis, which, if left undiagnosed and under-treated can lead to significant fibrosis, infertility, depression, and markedly diminished quality of life. This review summarizes endometriosis epidemiology, compelling evidence for its pathogenesis, mechanisms underlying its pathophysiology in the age of precision medicine, recent biomarker discovery, novel therapeutic approaches, and issues around reproductive justice for marginalized populations with this disorder spanning the past 100 years. As we enter the next revolution in health care and biomedical research, with rich molecular and clinical datasets, single-cell omics, and population-level data, endometriosis is well positioned to benefit from data-driven research leveraging computational and artificial intelligence approaches integrating data and predicting disease risk, diagnosis, response to medical and surgical therapies, and prognosis for recurrence.