Risk Of Endometriosis Research Articles

Endometriosis risk is associated with shorter anogenital distance by meta-analysis

ObjectiveAnogenital distance is a well-validated marker of prenatal testosterone, with shorter distances indicating lower levels during early gestation. A suite of studies has tested for links of anogenital distance with risk of endometriosis, but the findings are variable, leading to uncertainty in interpretation. This study was conducted to provide an overall statistical assessment of whether anogenital distance is altered in women with endometriosis, compared to controls. Materials and methodsA systematic review and meta-analysis were conducted on the association of endometriosis with anogenital distance. Three databases were queried in the identification phase, and a random-effects meta-analysis was applied to the data in studies that met the inclusion criteria. ResultsMeta-analysis showed that shorter anogenital distance AF, measured from the anus to the posterior fourchette, was significantly associated with higher risk of endometriosis in the meta-analysis. By contrast, the association for anogenital distance AC, measured from the anus to the clitoral surface, was non-significant. Both analyses demonstrated significant heterogeneity across studies. Too few studies were available for robust investigation of publication bias. ConclusionsThe association of short anogenital distance with endometriosis risk provides support for the hypothesis that endometriosis represents, in part, a disorder mediated by relatively low testosterone levels in early prenatal development. This conclusion has implications for understanding the causes and treatment of endometriosis.

Müllerian anomalies and endometriosis as potential explanatory models for the retrograde menstruation/implantation and the embryonic remnants/celomic metaplasia pathogenic theories: a systematic review and meta-analysis.

Does endometriosis prevalence differ in patients with obstructive Müllerian anomalies (OMA) versus those with nonobstructive Müllerian anomalies (NOMA), and in patients with NOMA versus those without Müllerian anomalies? The quantitative synthesis of published data demonstrates a substantially increased prevalence of endometriosis in patients with OMA compared with those with NOMA, and a similar prevalence in patients with NOMA and those without Müllerian anomalies. The pathogenesis of endometriosis has not been definitively clarified yet. A higher prevalence of endometriosis in patients with OMA than in those with NOMA would support the retrograde menstruation (RM)/implantation theory, whereas a higher prevalence of endometriosis in the NOMA group than in the group without Müllerian anomalies would support the embryonic remnants/celomic metaplasia hypothesis. This systematic review with meta-analysis was restricted to full-length, English-language articles published in peer-reviewed journals between 1980 and 2023. The PubMed and EMBASE databases were searched using the keyword 'endometriosis' in combination with 'Müllerian anomalies', 'obstructive Müllerian anomalies', 'female genital malformations', 'retrograde menstruation', 'infertility', 'pelvic pain', and 'classification'. References from relevant publications were screened, and PubMed's 'similar articles' and 'cited by' functions were used. Studies were selected if they reported the prevalence of surgically confirmed endometriosis in either individuals with OMA compared to those with NOMA, or patients with NOMA compared to those without Müllerian anomalies. Cohort and case-control studies and case series were deemed eligible for inclusion. Noncomparative studies, studies not reporting both the number of individuals with endometriosis and the total number of those with Müllerian anomalies or with other gynecological conditions, those including exclusively data on patients with absent or uncertain menstrual function (e.g. complete Müllerian agenesis category), or with imperforate hymen were excluded. Two reviewers independently abstracted data. The risk of bias was assessed with the Risk of Bias In Non-randomized Studies of Exposures tool. The overall certainty of the evidence was graded according to the Grading of Recommendations Assessment, Development and Evaluation (GRADE) guidelines. Seven retrospective studies were included. The overall mean estimate of endometriosis prevalence was 47% (95% CI, 36-58%) in patients with OMA, and 19% (95% CI, 15-24%) in patients with NOMA, with a common odds ratio (OR) of 4.72 (95% CI, 2.54-8.77). The overall mean estimate of endometriosis prevalence in patients with NOMA was 23% (95% CI, 20-27%), and that in patients without Müllerian anomalies was 21% (95% CI, 20-22%), with a common OR of 0.95 (95% CI, 0.57-1.58). The overall certainty of the evidence according to GRADE guidelines was judged as low for both comparisons. Some NOMA subtypes may create a partial obstacle to menstrual efflux and/or generate dysfunctional myometrial contractions that favor transtubal reflux, thus increasing the risk of endometriosis and limiting the difference between OMA and NOMA. As infertility and pelvic pain are strongly associated with endometriosis, women with these symptoms are inappropriate controls. Confounding by indication could explain the lack of difference in endometriosis prevalence between patients with NOMA and those without Müllerian anomalies. The results of this meta-analysis support the validity of the RM theory but do not definitively rule out alternative hypotheses. Thus, RM may be considered the initiator for the development of endometriotic lesions, while not excluding the contribution of both inheritable and tissue-specific genetic and epigenetic modifications as disease-promoting factors. No funding was received for this review. P.Ve. is a member of the Editorial Board of Human Reproduction Open, the Journal of Obstetrics and Gynaecology Canada, and the International Editorial Board of Acta Obstetricia et Gynecologica Scandinavica; has received royalties from Wolters Kluwer for chapters on endometriosis management in the clinical decision support resource UpToDate; and maintains both a public and private gynecological practice. E.S. discloses payments from Ferring for research grants and honoraria from Merck-Serono for lectures. All other authors declare they have no conflict of interest. N/A.

A prospective study of dietary patterns and the incidence of endometriosis diagnosis

BackgroundAlthough endometriosis is a common condition—affecting ∼10% of premenopausal individuals—its etiology is unknown. Diet receives large patient attention, but studies of the role of diet are limited. Examining dietary patterns is essential to provide new insight. ObjectiveWe sought to determine whether dietary patterns are associated with laparoscopically-confirmed endometriosis diagnosis. Study DesignWe conducted a prospective cohort study among 81,997 premenopausal participants of the Nurses’ Health Study II, who were followed from 1991-2015. Diet was assessed with validated food frequency questionnaires every four years. We examined six dietary patterns: Western, Prudent, Alternative Healthy Eating Index (AHEI-2010), Dietary Approaches to Stop Hypertension (DASH), an estrogen-associated pattern, and a pro-inflammatory pattern. Cox proportional hazard ratios (HR) and 95% confidence intervals (CI) were used to quantify the association between each of these patterns and laparoscopically-confirmed endometriosis diagnosis. Results3,810 incident cases of endometriosis were diagnosed during 24 years of follow-up. Adherence to the AHEI-2010, reflecting a healthier dietary pattern, was associated with a 13% lower risk of endometriosis diagnosis (5th vs 1st quintile 95% CI=0.78-0.96; ptrend=0.02). Participants in the highest quintile of the Western dietary pattern, characterized by high intake of red meat, processed meat, refined grains, and desserts, had a 27% higher risk of endometriosis diagnosis compared to those in the lowest quintile (95% CI=1.09–1.47; ptrend=0.004). The Prudent, DASH, and estrogen-associated dietary patterns did not demonstrate clear associations with endometriosis risk, and there was the suggestion of higher risk of endometriosis diagnosis among those with a higher pro-inflammatory diet score (HR for 5th vs 1st quintile=1.10; 95% CI=0.99-1.23; ptrend=0.01). ConclusionOur results suggest that consuming a dietary pattern that adheres to the AHEI-2010 recommendations lowers the risk of endometriosis diagnosis, potentially through a beneficial impact on pelvic pain. In addition, consuming a less healthy diet high in red/processed meats and refined grains may have a detrimental impact on endometriosis symptoms.

Plastic-related endocrine disrupting chemicals significantly related to the increased risk of estrogen-dependent diseases in women

ObjectiveTo evaluate the association between exposure to plastic-related endocrine-disrupting chemicals (EDCs), specifically Bisphenol A (BPA), Phthalates, Cadmium, and Lead, and the risk of estrogen-dependent diseases (EDDs) such as polycystic ovary syndrome (PCOS), endometriosis, or endometrial cancer by conducting a meta-analysis of relevant studies. MethodsPubMed, Web of Science, and Cochrane Library databases were used for literature retrieval of articles published until the 21st of April 2023. Literature that evaluated the association between BPA, phthalates, cadmium, and/or lead exposure and the risk of PCOS, endometriosis, or endometrial cancer development or exacerbation were included in our analysis. STATA/MP 17.0 was used for all statistical analyses. ResultsOverall, 22 articles were included in our meta-analysis with a total of 83,641 subjects all of whom were females aged between 18 and 83 years old. The overall effect size of each study was as follows: endometriosis risk in relation to BPA exposure ES 1.82 (95% CI; 1.50, 2.20). BPA and PCOS risk ES 1.61 (95% CI; 1.39, 1.85). Phthalate metabolites and endometriosis risk; MBP ES 1.07 (95% CI; 0.86, 1.33), MEP ES 1.05 (95% CI; 0.87, 1.28), MEHP ES 1.15 (95% CI; 0.67, 1.98), MBzP ES 0.97 (95% CI; 0.63, 1.49), MEOHP ES 1.87 (95% CI; 1.21, 2.87), and MEHHP ES 1.98 (95% CI; 1.32, 2.98). Cadmium exposure and endometrial cancer risk ES 1.14 (95% CI; 0.92, 1.41). Cadmium exposure and the risk of endometriosis ES 2.54 (95% CI; 1.71, 3.77). Lead exposure and the risk of endometriosis ES 1.74 (95% CI; 1.13, 2.69). ConclusionIncreased serum, urinary, or dietary concentration of MBzP and MEHP in women is significantly associated with endometriosis risk. Increased cadmium concentration is associated with endometrial cancer risk.

Environmental Exposure to Persistent Organic Pollutants and Its Association with Endometriosis Risk: Implications in the Epithelial-Mesenchymal Transition Process.

We aimed to explore the relationship of adipose tissue concentrations of some persistent organic pollutants (POPs) with the risk of endometriosis and the endometriotic tissue expression profile of genes related to the endometriosis-related epithelial-mesenchymal transition (EMT) process. This case-control study enrolled 109 women (34 cases and 75 controls) between January 2018 and March 2020. Adipose tissue samples and endometriotic tissues were intraoperatively collected to determine concentrations of nine POPs and the gene expression profiles of 36 EMT-related genes, respectively. Associations of POPs with endometriosis risk were explored with multivariate logistic regression, while the relationship between exposure and gene expression profiles was assessed through Spearman correlation or Mann-Whitney U tests. After adjustment, increased endometriosis risk was associated with p,p'-DDT, PCB-180, and ΣPCBs. POP exposure was also associated with reduced gene expression levels of the CLDN7 epithelial marker and increased levels of the ITGB2 mesenchymal marker and a variety of EMT promoters (HMGA1, HOXA10, FOXM1, DKK1, CCR1, TNFRSF1B, RRM2, ANG, ANGPT1, and ESR1). Our findings indicate that exposure to POPs may increase the risk of endometriosis and might have a role in the endometriosis-related EMT development, contributing to the disease onset and progression. Further studies are warranted to corroborate these findings.

Mood disorders influencing endometriosis and adenomyosis: Mendelian randomisation study.

Many studies have found an association between mood-disorder-related traits and endometriosis and adenomyosis. However, the cause-effect relationship remains unclear. We conducted Mendelian randomisation analyses to evaluate any causal relationship between mood disorders and endometriosis as well as different sites of endometriosis. Summary-level statistics for mood-disorder-related traits and endometriosis (8288 cases, 68 969 controls) in European populations were derived from large-scale data-sets of genome-wide association studies. A two-sample Mendelian randomisation was performed using the inverse-variance weighted and weight median methods. Further sensitivity analyses, including heterogeneity, pleiotropy and leave-one-out analyses, were conducted to test the consistency of the results. Genetically determined mood swings (odds ratio = 2.557, 95% CI: 1.192-5.483, P = 0.016) and major depression (odds ratio = 1.233, 95% CI: 1.019-1.493, P = 0.031) were causally associated with an increased risk of endometriosis. Mood swings (odds ratio = 4.238, 95% CI: 1.194-15.048, P = 0.025) and major depression (odds ratio = 1.512, 95% CI: 1.052-2.173, P = 0.025) were also causally associated with the risk of adenomyosis. Sensitivity analyses confirmed the reliability of the results. Our results suggest that mood-disorder-related traits increase the risk of endometriosis and adenomyosis. This study provides new insights into the potential pathogenesis of endometriosis and adenomyosis, and highlights the importance of preventing endometriosis and adenomyosis in patients with mood-disorder-related traits.

Blood lipids mediate the effects of gut microbiome on endometriosis: a mendelian randomization study

BackgroundThere is evidence for an association between the gut microbiome and endometriosis. However, their causal relationship and the mediating role of lipid metabolism remain unclear.MethodsUsing genome-wide association study (GWAS) data, we conducted a bidirectional Mendelian randomization (MR) analysis to investigate the causal relationships between gut microbiome and endometriosis. The inverse variance weighted (IVW) method was used as the primary model, with other MR models used for comparison. Sensitivity analysis based on different statistical assumptions was used to evaluate whether the results were robust. A two-step MR analysis was further conducted to explore the mediating effects of lipids, by integrating univariable MR and the multivariate MR method based on the Bayesian model averaging method (MR-BMA).ResultsWe identified four possible intestinal bacteria genera associated with the risk of endometriosis through the IVW method, including Eubacterium ruminantium group (odds ratio [OR] = 0.881, 95% CI: 0.795–0.976, P = 0.015), Anaerotruncus (OR = 1.252, 95% CI: 1.028–1.525, P = 0.025), Olsenella (OR = 1.110, 95% CI: 1.007–1.223, P = 0.036), and Oscillospira (OR = 1.215, 95% CI: 1.014–1.456, P = 0.035). The further two-step MR analysis identified that the effect of Olsenella on endometriosis was mediated by triglycerides (proportion mediated: 3.3%; 95% CI = 1.5−5.1%).ConclusionThis MR study found evidence for specific gut microbiomes associated with the risk of endometriosis, which might partially be mediated by triglycerides.

Association Between Composite Dietary Antioxidant Index and the Risk of Endometriosis-Related Rheumatoid Arthritis in Women of Childbearing Age: A Cross-Sectional Study Based on the National Health and Nutrition Examination Survey Database.

To evaluate the association between Composite Dietary Antioxidant Index (CDAI) and the risk of endometriosis (EM)-related rheumatoid arthritis (RA) in women of childbearing age. Using the data from the National Health and Nutrition Examination Survey database, this cross-sectional study included women of childbearing age. The CDAI was obtained by summing the standardized Z-values of the dietary intakes. EM was diagnosed based on a questionnaire-based survey. The outcome of this study was the presence of RA, which was defined by a questionnaire. The associations of CDAI and EM with the risk of RA were determined using weighted logistic analysis. Additive interaction was evaluated using the relative excess risk due to interaction (RERI), the attributable proportion due to interaction (AP), and the synergy index (S). In total, 3803 patients were included, of which 74 patients (1.99%) were with RA. A lower CDAI [odds ratio (OR): 1.85, 95% confidence interval (CI): 1.12 to 3.04, P= 0.015] and the presence of EM (OR: 3.05, 95% CI: 1.19 to 7.81, P= 0.023) was associated with the risk of RA. The result demonstrated an additive interaction of a lower CDAI and the presence of EM on the risk of RA (OR: 6.19, 95% CI: 2.33 to 16.43, P <0.001, P of trend =0.007). Nevertheless, there was no significant additive interaction after being assessed by the RERI, AP, and S. However, a joint effect of a lower CDAI and EM on the risk of RA (OR: 3.94, 95% CI: 1.35 to 11.51, P= 0.013) was observed. Our study identified EM, and lower CDAI, was related to the risk of RA. Lower CDAI score was also associated with the risk of EM-related RA. This study indicates the importance of antioxidant intake in daily diet for the management of EM-related RA.

Causal effects of glycemic traits and endometriosis: a bidirectional and multivariate mendelian randomization study

BackgroundObservational studies have suggested an association between endometriosis and glycemic traits, but causality remains unclear. We used bidirectional and multivariate Mendelian randomization (MR) to examine the causal effect of glycemic traits on endometriosis and vice versa.MethodsWe obtained genome-wide association studies summary data of endometriosis and glycemic traits in our study. Inverse variance weighted (IVW), Weighted median, MR-Egger and Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) were applied in bidirectional two-sample MR analyses. MVMR was implemented to estimate the causal effect for fasting insulin (FI), fasting glucose (FG), and glycosylated hemoglobin A1c (HbA1c) on endometriosis. To test the validity of our findings, a number of sensitivity analyses were conducted.ResultsThe risk of endometriosis was significantly increased by genetically predicted T1DM (OR = 1.02, 95% CI 1.00-1.04, p = 0.0171, q = 0.0556) and GDM (OR = 1.01, 95% CI 1.01–1.02, p = 1.34 × 10− 8, q = 1.74 × 10− 7). Endometriosis had a suggestive association with HbA1c (Beta = 0.04, 95% CI 0.00-0.08, p = 0.0481, q = 0.1251). Using multivariate Mendelian randomization (MVMR), a significant causal effect of FI on genetically predicted endometriosis was found (OR = 2.18, 95% CI 1.16–4.09, p = 0.0154, q = 0.0547). Moreover, no causal associations between endometriosis and other glycemic traits were detected.ConclusionOur findings supported the significant causal associations of T1DM, GDM and FI with endometriosis, respectively. Additionally, a suggestive association was found of endometriosis on HbA1c. Importantly, our study may shed light on etiology studies and clinical management of endometriosis.

Endometriosis risk and hormonal contraceptive usage: A nationwide cohort study.

To investigate whether an early need of hormonal contraceptive (HC), or a failure to find a suitable method, are warning signs for endometriosis. A retrospective cohort study. Sweden. The cohort consisted of 720 805 women aged 12-27 years during the period 2005-2017. All women, regardless of whether they received a diagnosis of endometriosis or not (reference group), were included. We used data from Swedish national registers. Risks are expressed as crude and adjusted hazard ratios (HRs and aHRs, respectively) with 95% confidence intervals (95% CIs), adjusted for age, education level, civil status, parity, country of birth, and diagnoses of infertility, dysmenorrhea or depression. A diagnosis of endometriosis between 12 and 27 years of age. During this period, 3268 women were diagnosed with endometriosis (0.45%). Women who started HC at the ages of 12-14 years had a higher risk of receiving the diagnosis (aHR 2.53, 95% CI 2.21-2.90) than those who began at age 17 years or older. Having tried more types of HCs was associated with a twofold increased risk of endometriosis (more that three types of HC, aHR 2.31, 95% CI 1.71-3.12). Using HC for more than 1 year was associated with a decreased risk of endometriosis (>1 year, aHR 0.53, 95% CI 0.48-0.59). Women with endometriosis more commonly had dysmenorrhea, depression or infertility. The use of HCs at an early age and a failure to find a suitable HC were identified as warning signs of later receiving an endometriosis diagnosis. A longer duration of HC usage reduced the risk of receiving the diagnosis.

The association of circulating lipoprotein lipids and apolipoproteins with risk of endometriosis: a Mendelian randomization study.

Endometriosis is a poorly understood disease that affects up to 196 million women worldwide and imposes high costs in terms of economic burden and quality of life of women. Traits of circulating lipids have been related to the onset and progression of endometriosis in previous observational studies but the results have remained contradictory. We performed univariable and multivariable Mendelian randomization (MR) analyses using instrument variables to genetically predict the associations of low-density lipoprotein (LDL) and high-density lipoprotein (HDL) cholesterol, triglycerides, and apolipoprotein (apo) A-I and B from the UK Biobank with endometriosis (consisting of 8288 cases and 68 969 controls from the FinnGen consortium). The inverse-variance weighted (IVW) method was used as the primary estimate, whereas MR-Egger and weighted median were conducted as complements to the IVW model. Increased levels of triglycerides were associated with higher risk of endometriosis and endometriosis of the pelvic peritoneum in the univariable MR analyses. In multivariable MR analysis including apoB, LDL cholesterol, and triglycerides in the same model, triglycerides still retained a robust effect. Decreased levels of apoA-I and HDL cholesterol were associated with increased risk of endometriosis and endometriosis of the pelvic peritoneum in univariable MR analyses. After mutual adjustment, HDL cholesterol retained a robust effect whereas the association for apoA-I was attenuated. This is the first MR-based evidence to suggest that triglycerides and HDL cholesterol are the predominant traits that account for the aetiological relationship of lipoprotein lipids with risk of endometriosis, in particular endometriosis of the pelvic peritoneum. Further well-designed randomized controlled trials are needed to address these results.

Use of statins and risks of ovarian, uterine, and cervical diseases: a cohort study in the UK Biobank

PurposeTo examine the associations between use of statins and risks of various ovarian, uterine, and cervical diseases, including ovarian cancer, endometrial cancer, cervical cancer, ovarian cyst, polycystic ovarian syndrome, endometriosis, endometrial hyperplasia, endometrial polyp, and cervical polyp.MethodsWe conducted a cohort study among female participants in the UK Biobank. Information on the use of statins was collected through verbal interview. Outcome information was obtained by linking to national cancer registry data and hospital inpatient data. We used Cox proportional hazards regression to examine the associations.ResultsA total of 180,855 female participants (18,403 statin users and 162,452 non-users) were included. Use of statins was significantly associated with increased risks of cervical cancer (adjusted hazard ratio (HR), 1.55; 95% confidence interval (95% CI), 1.05–2.30) and polycystic ovarian syndrome (adjusted HR, 4.39; 95% CI, 1.68–11.49). However, we observed no significant association between use of statins and risk of ovarian cancer, endometrial cancer, ovarian cyst, endometriosis, endometrial hyperplasia, endometrial polyp, or cervical polyp.ConclusionOur findings suggest that use of statins is associated with increased risks of cervical cancer and polycystic ovarian syndrome, but is not associated with increased or decreased risk of ovarian cancer, endometrial cancer, ovarian cyst, endometriosis, endometrial polyp, or cervical polyp.

An artificial intelligence approach for investigating multifactorial pain-related features of endometriosis.

Endometriosis is a debilitating, chronic disease that is estimated to affect 11% of reproductive-age women. Diagnosis of endometriosis is difficult with diagnostic delays of up to 12 years reported. These delays can negatively impact health and quality of life. Vague, nonspecific symptoms, like pain, with multiple differential diagnoses contribute to the difficulty of diagnosis. By investigating previously imprecise symptoms of pain, we sought to clarify distinct pain symptoms indicative of endometriosis, using an artificial intelligence-based approach. We used data from 473 women undergoing laparoscopy or laparotomy for a variety of surgical indications. Multiple anatomical pain locations were clustered based on the associations across samples to increase the power in the probability calculations. A Bayesian network was developed using pain-related features, subfertility, and diagnoses. Univariable and multivariable analyses were performed by querying the network for the relative risk of a postoperative diagnosis, given the presence of different symptoms. Performance and sensitivity analyses demonstrated the advantages of Bayesian network analysis over traditional statistical techniques. Clustering grouped the 155 anatomical sites of pain into 15 pain locations. After pruning, the final Bayesian network included 18 nodes. The presence of any pain-related feature increased the relative risk of endometriosis (p-value < 0.001). The constellation of chronic pelvic pain, subfertility, and dyspareunia resulted in the greatest increase in the relative risk of endometriosis. The performance and sensitivity analyses demonstrated that the Bayesian network could identify and analyze more significant associations with endometriosis than traditional statistical techniques. Pelvic pain, frequently associated with endometriosis, is a common and vague symptom. Our Bayesian network for the study of pain-related features of endometriosis revealed specific pain locations and pain types that potentially forecast the diagnosis of endometriosis.

The Association Between Daily Intake of Dietary Supplements and Self-Reported Endometriosis: A NHANES-Based Study.

Dietary supplements are gaining recognition as potential influencers of female reproductive health, but their connection to endometriosis risk remains underexplored. This study addressed this gap, examining the impact of daily dietary supplement intake on the initiation and progression of endometriosis. To explore this, a cross-sectional study was conducted involving 3950 participants representative of the US population from the 1999-2006 National Health and Nutrition Examination Survey (NHANES). Infertility was determined by a question on year-long attempts to become pregnant. Unweighted and weighted multivariate logistic regression analyses assessed the association between dietary supplements and endometriosis risk. Subgroup analysis was conducted based on the participants' body mass index (BMI). The results revealed intriguing patterns. Specifically, higher dietary fiber content (Q4 vs Q1: OR = 0.56, 95% CI = (0.37,0.84), P = 0.0062) and density (Q4 vs Q1: OR = 0.55, 95% CI = (0.38,0.81), P = 0.0035) were linked to reduced risk of endometriosis. Protein content (Q4 vs Q1: OR = 0.47, 95% CI = (0.31,0.74), P = 0.0011) and density (Q4 vs Q1: OR = 0.63, 95% CI = (0.45,0.88), P = 0.0096) similarly exhibited a negative association with endometriosis risk. Interestingly, when stratified by BMI, these effects were pronounced in normal-weight women, whereas they were not evident in the overweight and obese subgroup. Protein content and density showed no significant associations across subpopulations. In conclusion, this study established a negative relationship between dietary fiber and endometriosis, particularly notable in normal-weight women. Future research is essential to validate these findings and establish a causal link between dietary fiber and endometriosis.

The effect of androgens on the risk of endometriosis sub-phenotypes and ovarian neoplasms: A Mendelian randomization study

Endometriosis is a complex gynecological pathology with a broad spectrum of symptoms, affecting around 10% of reproductive-aged women. Ovarian cancer (OC) is a heterogeneous disease for which we lack effective diagnostic and therapeutic strategies. The etiology and pathogenesis of both diseases remain ambiguous. Androgens in endometriosis could have a distinct role beyond serving as estrogen sources, whereas in the case of serous OC could be important in the formation of precursor lesions which ultimately lead to tumor formation. Here we performed two-sample Mendelian randomization (MR) analysis to examine the causal relationship between the androgen precursor - dehydroepiandrosterone sulphate (DHEAS), bioactive androgen - testosterone (T), androgen metabolite - androsterone sulphate, steroid hormone binding globulin (SHBG) and albumin and the risk of endometrioses of various sub-phenotypes and ovarian neoplasms across the benign-borderline-malignant spectrum. Stringent quality control procedures were followed to select eligible instrumental variables that were strongly associated with the selected exposures, sensitivity analyses were performed to assess the heterogeneities, horizontal pleiotropy, and stabilities of SNPs in endometriosis and ovarian neoplasms. We discovered an inverse association between genetically predicted levels of all androgens and risk of endometriosis, the same trend was most evident in the ovarian sub-phenotype. Total T levels were also inversely associated with peritoneal sub-phenotype of endometriosis. Likewise, T was causally associated with decreased risk of clear-cell OC, an endometriosis-associated OC subtype, and with malignant serous OC of both low- and high-grade, but with higher risk of their counterpart of low malignant potential. These findings support further investigation of androgen’s action at a molecular level in ovary-associated endometriotic lesions, clear cell ovarian tumors and serous precursor lesions.

Dysmenorrhea pattern in adolescences informing adult endometriosis

BackgroundEndometriosis (EMs) is a chronic and progressive disease that, if diagnosed late, can lead to infertility and deep infiltrating endometriosis (DIE). Dysmenorrhea is the most prominent symptom of EMs. However, limited research exists on the specific correlation between dysmenorrhea patterns and EMs. Early prevention of EMs is essential to effectively manage the progression of the disease, and is best detected during adolescence. Our objective was to associate the development of EMs with dysmenorrhea patterns during adolescence and quantify the risk of adult EMs for adolescent girls, with the aim of supporting primary intervention strategy planning.MethodsThis case–control study examined predictors for adult EMs based on dysmenorrhea patterns in adolescents. We collected 1,287 cases of 641 EMs and 646 healthy females regarding their basic demographic information, adolescent menstrual characteristics, adolescent dysmenorrheal patterns, and adolescent lifestyles. Age-matching (1-to-1) was employed to control for the confounding effect of age between the groups. Least Absolute Shrinkage and Selection Operator (LASSO) and logistic regression models were utilized to identify predictors for adult EMs. The predictive value of the model was evaluated using the area under the receiver operating characteristic curve (AUC) and the C-index, while Hosmer–Lemeshow Test assessed the goodness of fit of the model. Data from one additional cohort in Shenzhen hospitalized with EMs were used to external validation were analyzed.ResultsIndividuals who always experienced dysmenorrhea had a risk of adult endometriosis 18.874 (OR = 18.874; 95%CI = 10.309–34.555) times higher than those occasional dysmenorrhea, The risk of developing EMs was 5.257 times higher in those who experienced dysmenorrhea more than 12 months after menarche than in those who experienced dysmenorrhea less than 6 months after menarche (OR = 5.257, 95% CI = 3.343–8.266), AUC in the external validation cohort was 0.794(95%CI: 0.741–0.847). We further found that high-intensity physical activity and sun-sensitive skin of burning were influential factors in high-frequency dysmenorrhea. The AUC value for the internal evaluation of the model was 0.812 and the AUC value for the external validation was 0.794.ConclusionOur findings revealed that the frequency of dysmenorrhea during adolescence contributed to the development of adult endometriosis. The frequency and onset of dysmenorrhea in adolescence were promising predictors for adult EMs. Both internal and external validation proved the model's good predictive ability.Trial registrationhttp://www.chictr.org.cn/, TRN: ChicTR2200060429, date of registration: 2022/06/01, retrospectively registered.

A comprehensive multiplatform metabolomic analysis reveals alterations of 2-hydroxybutyric acid among women with deep endometriosis related to the pesticide trans-nonachlor

BackgroundExposure to persistent organic pollutants (POPs) has been related to the risk of endometriosis however the mechanisms remain unclear. The objective of the present study was to characterize the metabolic profiles underpinning the associations between POPs and endometriosis risk. MethodologyA hospital-based case-control study was conducted in France to recruit women with and without surgically confirmed deep endometriosis. Women's serum was analyzed using gas and liquid chromatography coupled to high-resolution mass spectrometry (HRMS) to measure the levels of polychlorinated biphenyls (PCBs), organochlorinated pesticides (OCPs) and per-/polyfluoroalkyl substances (PFAS). A comprehensive metabolomic profiling was conducted using targeted HRMS and 1H nuclear magnetic resonance (1H NMR) to cover polar and non-polar fractions. A “meet-in-the-middle” statistical framework was applied to identify the metabolites related to endometriosis and POP levels, using multivariate linear and logistic regressions adjusting for confounding variables. ResultsFourteen PCBs, six OCPs and six PFAS were widely found in almost all serum samples. The pesticide trans-nonachlor was the POP most strongly and positively associated with deep endometriosis risk, with odds ratio (95 % confidence interval) of 2.42 (1.49; 4.12), followed by PCB180 and 167. Women with endometriosis exhibited a distinctive metabolic profile, with elevated serum levels of lactate, ketone bodies and multiple amino acids and lower levels of bile acids, phosphatidylcholines (PCs), cortisol and hippuric acid. The metabolite 2-hydroxybutyrate was simultaneously associated to endometriosis risk and exposure to trans-nonachlor. ConclusionsTo the best of our knowledge, this is the first comprehensive metabolome-wide association study of endometriosis, integrating ultra-trace profiling of POPs. The results confirmed a metabolic alteration among women with deep endometriosis that could be also associated to the exposure to POPs. Further observational and experimental studies will be required to delineate the causal ordering of those associations and gain insight on the underlying mechanisms.

Gene associations of lipid traits, lipid-lowering drug-target genes and endometriosis

Research QuestionDoes the observed correlation between dyslipidemia and endometriosis indicate bidirectional causal associations? Furthermore, is the prospect of utilizing lipid-lowering drugs to manage endometriosis a viable strategy? DesignBidirectional Mendelian Randomization (MR) is employed to investigate the causal association between lipid traits and endometriosis. Drug-target MR is utilized to explore potential drug-target genes for managing endometriosis. In cases where lipid-mediated effects via specific drug targets are significant, aggregate analyses, such as Summary-data-based Mendelian Randomization (SMR) and Colocalization methods, are introduced to validate the outcomes. Mediation analyses supplement these evaluations. ResultsBidirectional MR results suggested that genetically predicted triglycerides (TG) (odds ratio [OR] 1.16, 95% confidence interval [CI] 1.08-1.23), high-density lipoprotein cholesterol (HDL-C) (OR 0.87, 95% CI 0.81-0.94), low-density lipoprotein cholesterol (LDL-C) (OR 1.20, 95% CI 1.06-1.34) and apolipoprotein A (APOA) (OR 0.90, 95% CI 0.83-0.96) were causally associated with endometriosis. Reverse MR results revealed that genetically proxied endometriosis was causally associated with TG level (OR 1.02, 95% CI 1.01-1.02). In drug-target MR, genetic mimicry in proprotein convertase subtilisin/kexin type 9 (PCSK9) (OR1.40, 95% CI 1.13-1.72), apolipoprotein B (APOB) (OR 1.49, 95% CI 1.21-1.86) and Angiopoietin-related protein 3 (ANGPTL3) (OR 1.57, 95% CI 1.14-2.16) were significantly associated with the risk of endometriosis stages 1-2. ConclusionOur findings suggest a potential bidirectional causal association between endometriosis and dyslipidemia. Genetic mimicry of PCSK9, APOB, and ANGPTL3 is associated with the risk of early-stage endometriosis. The development of lipid-lowering drugs for treating endometriosis holds potential clinical interest.

Clinical Features and Decision making of Congenital Vaginal Agenesis Combined with Cervical Aplasia: Case Report and Literature Review

Objective: To present the case of a teenage girl with vaginal agenesis and review current literature on recommended courses of action. A 12-year-old girl with KBG genetic syndrome was admitted to the Pediatric Unit with recurrent acute abdominal pain, vomiting, dehydration, and primary amenorrhea. Physical examination revealed advanced pubertal development, and a negative swab test. Magnetic Resonance Imaging (MRI) showed complete vaginal agenesis, septated uterus with cervical aplasia, hematometra, and hematosalpinx. Open hysterectomy was decided upon due to acute abdominal pain and the risk of endometriosis and infection. She progressed favorably and was discharged two days after surgery. Conclusion: Congenital complete vaginal agenesis with cervical aplasia is a rare obstructive malformation of the genital tract. Generally, hysterectomy is recommended due to the high risk of stenosis, infection, and adhesions. Vaginoplasty is an option when the patient is mature enough to undergo the procedure. Attempts to preserve the uterus and fertility in patients with complete cervical atresia have a small sample size. In this case, the decision to perform a hysterectomy was considered the most appropriate to suit her social circumstances.

Elevated levels of Zn, Cu and Co are associated with an increased risk of endometriosis: Results from a case[sbnd]control study

BackgroundEndometriosis is a common gynecological disease that affects approximately 5 %∼10 % of reproductive-aged women. Zinc (Zn), selenium (Se), copper (Cu), cobalt (Co) and molybdenum (Mo) are essential trace elements and are very important for human health. However, studies on the relationship between mixtures of essential trace elements and the risk of endometriosis are limited and inconsistent. In particular, studies confirming the association via different sample types are limited. ObjectiveThis study aimed to investigate the associations between Zn, Se, Cu, Co and Mo concentrations in blood and follicular fluid (FF) and endometriosis risk in a Chinese population. MethodsA total of 609 subjects undergoing in vitro fertilization (IVF) were recruited; 836 samples were analyzed, including 451 blood samples (234 controls and 217 cases) and 385 FF samples (203 controls and 182 cases). In addition, 227 subjects provided both blood and FF samples. Zn, Se, Cu, Co and Mo concentrations in blood and FF were quantified via inductively coupled plasma−mass spectrometry (ICP−MS). The associations between the levels of Zn, Se, Cu, Co and Mo and the risk of endometriosis were assessed using single-element models (logistic regression models), and the combined effect of the trace elements on endometriosis risk was assessed using multielement models (Bayesian kernel machine regression (BKMR) and weighted quantile sum (WQS) regression). ResultsBased on the single-element models, significant associations of Zn concentrations in blood (high-level vs. low-level group: aOR = 14.17, 95 % CI: 7.31, 27.50) and FF (first tertile vs. second tertile group: aOR = 0.34, 95 % CI: 0.16, 0.71; third tertile vs. second tertile group: aOR = 2.32, 95 % CI: 1.38, 3.91, respectively) and Co concentrations in blood (first tertile vs. second tertile group, aOR = 0.24, 95 % CI: 0.12, 0.48) and FF (third tertile vs. second tertile group: aOR = 3.87, 95 % CI: 2.19, 6.84) with endometriosis risk were found after adjustment for all confounders. In FF, Cu and Mo levels were significantly greater among the cases than among the controls, with a positive association with endometriosis risk (Cu (first tertile vs. second tertile group: aOR = 0.39, 95 % CI: 0.19, 0.81; third tertile vs. second tertile group: aOR = 2.73, 95 % CI: 1.61, 4.66, respectively) and Mo (high-level vs. low-level group: aOR = 14.93, 95 % CI: 7.16, 31.12)). However, similar associations between blood Cu and Mo levels and endometriosis risk were not found. In addition, the levels of these five essential trace element mixtures in blood and in FF were significantly and positively associated with endometriosis risk according to the BKMR analyses; the levels of Zn and Cu in blood and the levels of Mo in FF were significantly related to the risk of endometriosis, and the posterior inclusion probabilities (PIPs) were 1.00, 0.99 and 1.00 for Zn and Cu levels in blood and Mo levels in FF, respectively. Furthermore, Zn and Mo were the highest weighted elements in blood and FF, respectively, according to WQS analyses. ConclusionThe risk of endometriosis was associated with elevated levels of several essential trace elements (Zn, Cu and Co). Elevated levels of these elements may be involved in the pathomechanism of endometriosis. However, further studies with larger sample sizes will be necessary to confirm these associations.