Journal of Ovarian Research最新文献

{"title":"Potential use of DNA methylation in cervical swabs for early ovarian cancer diagnosis.","authors":"Edyta Biskup, Joanna Lopacinska-Jørgensen, Claus Høgdall, Estrid V Høgdall","doi":"10.1186/s13048-025-01609-2","DOIUrl":"10.1186/s13048-025-01609-2","url":null,"abstract":"<p><strong>Introduction: </strong>Early diagnosis of ovarian cancer, using cost-effective and non-invasive methods remains an unmet medical need, largely due to unspecific symptoms of the disease.</p><p><strong>Objective: </strong>Our goal was to identify differentially methylated CpG loci between cervical swabs obtained from patients diagnosed with benign ovarian disease and with malignant pelvic mass.</p><p><strong>Methodology: </strong>Using Infinium EPICv2 array, we interrogated methylation profiles of 77 cervical swabs. The study cohort was then divided into a training and testing set to develop a diagnostic signature. We applied several strategies to pinpoint CpG sites able to differentiate cervical swabs obtained from ovarian cancer patients and patients with benign ovarian disease.</p><p><strong>Results and conclusions: </strong>None of the statistical methods applied identified CpG loci capable of diagnosing ovarian cancer with sufficient specificity and sensitivity. We conclude that methylation differences observed do not adequately distinguish between benign and malignant ovarian disease. The variations attributable to clinical conditions are likely obscured by the differences in cell composition, which is the primary source of sample heterogeneity. Therefore, we suggest that diagnostic tools should not rely on local methylation profile of the cervix but rather focus on detecting cancer-specific sequences transferred from the tumor site and present in cervical swabs. Ovarian cancer is difficult to detect early, and we aimed to explore whether DNA methylation in cervical swabs could serve as a diagnostic tool. However, our study found that methylation patterns in these samples do not reliably distinguish between benign and malignant conditions, likely due to variations in cell composition. We recommend future research focus on detecting tumor-specific DNA sequences in cervical swabs instead.</p>","PeriodicalId":16610,"journal":{"name":"Journal of Ovarian Research","volume":"18 1","pages":"29"},"PeriodicalIF":3.8,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11830180/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143425628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tumour-derived exosomal miR-205 promotes ovarian cancer cell progression through M2 macrophage polarization via the PI3K/Akt/mTOR pathway.","authors":"Liuqing He, Quan Chen, Xiaoying Wu","doi":"10.1186/s13048-025-01616-3","DOIUrl":"10.1186/s13048-025-01616-3","url":null,"abstract":"<p><strong>Background: </strong>Tumour-associated macrophages (TAMs) are the most abundant immune cells in the tumour environment and are considered similar to M2 macrophages, which facilitate cancer progression. Exosomes, as important mediators of the cross-talk between tumour cells and tumour-associated macrophages, can facilitate the development and metastasis of ovarian cancer by mediating M2 macrophage polarization. However, the exact mechanisms underlying the communication between ovarian cancer (OC) cells and tumour-associated macrophages during OC progression remain unclear.</p><p><strong>Results: </strong>Here, we demonstrated that high expression of miR-205 was associated with M2 macrophage infiltration, which affected the prognosis of OC patients. Importantly, tumour-derived miR-205 could be transported from OC cells to macrophages via exosomes and promote cancer cell invasion and metastasis by inducing M2-like macrophage polarization. Animal experiments further confirmed that exosomal miR-205-induced M2 macrophages accelerated OC progression in vivo. Mechanistically, miR-205 downregulated PTEN, activating the PI3K/AKT/mTOR signalling pathway, which is critical for M2 polarization.</p><p><strong>Conclusions: </strong>These results reveal that exosomal miR-205 plays a pivotal role in macrophage polarization within the OC microenvironment, highlighting its potential as a therapeutic target for OC treatment. This study not only enhances our understanding of the interactions between tumour and immune cells but also opens new avenues for targeted therapies against exosomal miR-205 in ovarian cancer.</p>","PeriodicalId":16610,"journal":{"name":"Journal of Ovarian Research","volume":"18 1","pages":"28"},"PeriodicalIF":3.8,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11829414/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143425630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the causal associations of the gut microbiota and plasma metabolites with ovarian cancer: an approach of mendelian randomization analysis combined with network pharmacology and molecular docking.","authors":"Junfeng Guo, Chen Wang, He Li, Chenhuan Ding","doi":"10.1186/s13048-025-01610-9","DOIUrl":"10.1186/s13048-025-01610-9","url":null,"abstract":"<p><strong>Background: </strong>While increasing evidence suggests that alterations in the gut microbiota and metabolites are associated with ovarian cancer (OC) risk, whether these associations imply causation remains to be identified.</p><p><strong>Methods: </strong>We conducted a two-sample Mendelian randomization (MR) study utilizing a large-scale genome-wide association study (GWAS) to explore the causal effects of the gut microbiota of 196/220 individuals and 1,400 plasma metabolites on OC and epithelial ovarian cancer (EOC) subtypes. Data on the gut microbiota were obtained from the MiBioGen consortium of 18,340 subjects and the Dutch Microbiome Project of 7,738 volunteers. Data on plasma metabolites were derived from a GWAS of plasma metabolites in 8,299 participants. Ovarian cancer (n = 25,509) and EOC subtypes were obtained from the Ovarian Cancer Association Consortium (OCAC). Metabolites and associated targets were analyzed via network pharmacology and molecular docking.</p><p><strong>Results: </strong>At the genus and species levels, we identified seven risk factors for the gut microbiota: the genus Dialister (P = 0.024), genus Ruminiclostridium5 (P = 0.0004), genus Phascolarctobacterium (P = 0.0217), species Bacteroides massiliensis (P = 0.011), species Phascolarctobacterium succinatutens (P = 0.0212), species Paraprevotella clara (P = 0.0247) and species Bacteroides dorei (P = 0.0054). In addition, five gut microbes at the genus and species levels were found to be protective: genus Family XIII AD3011 group (P = 0.006), genus Butyrivibrio (P = 0.0095), genus Oscillibacter (P = 0.0206), species Roseburia hominis (P = 0.0241), and species Bifidobacterium bifidum (P = 0.0224). For plasma metabolites, we revealed five positive and four negative correlations with OC. Among these, caffeic acid and caffeine metabolites and sphingomyelin and ceramide metabolites were identified as risk factors, whereas phenylalanine metabolites, butyric acid metabolites, and some lipid metabolites were recognized as protective factors. A series of sensitivity analyses revealed no abnormalities, including pleiotropy and heterogeneity analyses.</p><p><strong>Conclusion: </strong>Our MR analysis demonstrated that the gut microbiota and metabolites are causally associated with OC, which has significant potential for the early detection and diagnosis of OC and EOC subtypes, providing valuable insights into this area of research.</p>","PeriodicalId":16610,"journal":{"name":"Journal of Ovarian Research","volume":"18 1","pages":"27"},"PeriodicalIF":3.8,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11823090/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143414553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A metabolic fingerprint of ovarian cancer: a novel diagnostic strategy employing plasma EV-based metabolomics and machine learning algorithms.","authors":"Fei Long, XingYu Pu, Xin Wang, DongXue Ma, ShanHu Gao, Jun Shi, XiaoCui Zhong, Rui Ran, LianLian Wang, Zhu Chen, Yang Yang, Richard D Cannon, Ting-Li Han","doi":"10.1186/s13048-025-01590-w","DOIUrl":"10.1186/s13048-025-01590-w","url":null,"abstract":"<p><p>Ovarian cancer (OC) is the third most common malignant tumor of women and is accompanied by an alteration of systemic metabolism. A liquid biopsy that captures and detects tumor-related biomarkers in body fluids has great potential for OC diagnosis. EVs, nanosized extracellular vesicles found in the blood, have been proposed as promising biomarkers for liquid biopsies. In this study we recruited 37 OC patients, 22 benign ovarian tumor (BE) patients, and 46 clinically healthy control patients (CON). Plasma EVs were purified from blood samples and sensitive thermal separation probe-based mass spectrometry analysis using a global untargeted metabolic profiling strategy was employed to characterize the metabolite fingerprints. Uniform manifold approximation and projection (UMAP) analysis demonstrated a distinct separation of EVs among the three groups. We screened for diagnostic biomarkers from plasma EV metabolites using seven machine learning algorithms, including artificial neural network (ANN), decision tree (DT), K nearest neighbor (KNN), logistics regression (LR), Naïve Bayes (NB), random forest (RF), and support vector machine (SVM). For the OC-CON comparison, the highest AUC values were found for RF (0.91), ANN (0.90) and NB (0.90), with the F1-scores of 0.88, 0.83, and 0.76 respectively. For the OC-BE comparison, SVM (0.94), RF (0.86), and KNN (0.86) gave the highest AUCs, with F1-scores of 0.80, 0.80, and 0.91 respectively. A total of 19 and 158 metabolic features exhibited significant differences (FC = 1.5, q < 0.01) in the OC vs BE and OC vs CON comparisons, respectively. Notably, the quantities of 9-octadecenamide and 1,4-methanobenzocyclodecene were significantly elevated, while maltol showed a significant reduction in the OC group compared to the BE group. When comparing the OC group to the CON group, the concentrations of 4-amino-furazan-3-carboxylic acid 2-hydroxy-4-methoxybenzaldehyde, N-phenylethyl, and 4-morpholineethanamine were significantly elevated, while the remaining metabolites, including hydrazine and pyridine sulfonamide, were reduced, in the OC group. The metabolites showing different abundancies are associated with cancer-related mutations, immune responses, and metabolic reprogramming. We demonstrate that the RF algorithm, combined with sensitive thermal separation probe-based mass spectrometry analysis of plasma EVs, can effectively identify OC patients with good accuracy. Thus, our study has shortlisted a set of potential biomarkers in plasma EVs, and the proposed approach could serve as a routine prescreening tool for ovarian cancer.</p>","PeriodicalId":16610,"journal":{"name":"Journal of Ovarian Research","volume":"18 1","pages":"26"},"PeriodicalIF":3.8,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11823222/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143408848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic and functional analyses of exosomal miRNAs regulating cellular microenvironment of ovarian cancer cells.","authors":"Zhaoxia Wang, Yanan Huang, Simin He, Ying Zhou, Le Zhao, Fuyuan Wang","doi":"10.1186/s13048-025-01608-3","DOIUrl":"10.1186/s13048-025-01608-3","url":null,"abstract":"<p><strong>Background: </strong>Exosomes, extracellular vesicles with an average diameter of 30 ~ 150 nm, are pivotal in mediating the cellular microenvironment (CM) through their cargo-carrying capability. Despite extensive studies, the dynamic and regulatory mechanisms of exosomal cargoes, including lipids, proteins, nucleic acids, and metabolites, remain poorly understood.</p><p><strong>Methods: </strong>In this study, we collected culture medium of ovarian cancer cells at four different time points (12, 24, 36, 48 h). Exosomes were isolated using ultracentrifugation, and miRNA sequencing was performed for exosomes from each group (T12, T24, T36, and T48).</p><p><strong>Results: </strong>A total of 131 miRNAs were identified in all groups. Specifically, 41, 115, 63, and 24 miRNAs were detected in the T12, T24, T36, and T48 groups, respectively. Among these, 15 miRNAs were common to the all groups, while 3, 57, 10, and 3 miRNAs were unique to the T12, T24, T36, and T48 groups, respectively. Functional analyses of the target genes for both common and specific miRNAs indicated that numerous target genes were involved in signaling pathways and cancer-related processes.</p><p><strong>Conclusion: </strong>It suggested that exosomal miRNAs might be critical in intercellular communication and in dynamically remodeling the tumor microenvironment. These insights could enhance our understanding of the role of exosomal miRNAs in cancer biology and inform the development of novel therapeutic strategies.</p>","PeriodicalId":16610,"journal":{"name":"Journal of Ovarian Research","volume":"18 1","pages":"25"},"PeriodicalIF":3.8,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11808964/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143391122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Maternal age-related declines in live birth rate following single euploid embryo transfer: a retrospective cohort study.","authors":"Wei Jiang, Zichen Zheng, Nan Yan, Shuang Yao, Qijun Xie, Danyu Ni, Shanren Cao, Chun Zhao, Xiufeng Ling","doi":"10.1186/s13048-025-01602-9","DOIUrl":"10.1186/s13048-025-01602-9","url":null,"abstract":"<p><strong>Purpose: </strong>To assess whether maternal age influences the pregnancy outcomes after single frozen euploid embryo transfer.</p><p><strong>Methods: </strong>This retrospective analysis was conducted on 1037 cycles of single euploid embryo transfer performed at Nanjing Women and Children's Healthcare Hospital between January 2016 and April 2023. Patients with severe uterine pathologies, immune disorders, or endocrine diseases were excluded. The cycles were categorized into three age groups: <35 years, 35-37 years, and ≥ 38 years. Primary outcomes included live birth rate, clinical pregnancy rate, early pregnancy loss, and miscarriage rate. Data were analyzed using multivariable logistic regression with generalized estimating equations (GEE) to account for confounding factors and restricted cubic splines to visualize the relationship between maternal age and pregnancy outcomes.</p><p><strong>Results: </strong>Women aged ≥ 38 years demonstrated a significantly diminished live birth rate (41.7%) ,which was lower than that observed in women aged < 35 years (54.5%) and 35-37 years (54.0%), with statistical significance (P < 0.05). Multivariable regression analysis revealed that compared with women aged ≥ 38 years, younger women had reduced risk of miscarriage (aOR = 0.371, 95% CI: 0.139-0.988 for the < 35 years group; aOR = 0.317, 95% CI: 0.106-0.954 for the 35-37 years group) and increased likelihood of live birth (aOR = 2.188, 95% CI: 1.154-4.147 for the < 35 years group; aOR = 2.239, 95% CI: 1.0103-4.548 for the 35-37 years group) after adjusting for relevant confounders. Additionally, the analysis showed that embryos biopsied on day 5 were linked to higher clinical pregnancy rates than those biopsied on day 6, and high-grade blastocysts were associated with superior pregnancy outcomes.</p><p><strong>Conclusion: </strong>Advanced maternal age is associated with a higher miscarriage rate and lower live birth rate following euploid embryo transfer. Despite the exclusion of aneuploidy, age-related factors beyond chromosomal abnormalities appear to impact reproductive outcomes.</p>","PeriodicalId":16610,"journal":{"name":"Journal of Ovarian Research","volume":"18 1","pages":"24"},"PeriodicalIF":3.8,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11800472/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143365120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Immune imbalance in the pre-ovulatory follicular microenvironment of overweight and obese women during IVF.","authors":"Yang Liu, Yiran Zhao, Chengliang Zhou, Hong Zhu, Jiexue Pan, Jing Fu, Hefeng Huang, Hui Lin, Li Jin","doi":"10.1186/s13048-025-01606-5","DOIUrl":"10.1186/s13048-025-01606-5","url":null,"abstract":"<p><strong>Background: </strong>Overweight and obesity can induce an inflammatory milieu in the oocyte microenvironment and are closely associated with reduced assisted reproductive outcomes.</p><p><strong>Objective: </strong>How are immune cells, cytokines and lipid profiles altered in the pre-ovulatory microenvironment of overweight and obese women?</p><p><strong>Methods: </strong>32 women undergoing in vitro fertilization (IVF) were included, with 14 overweight or obese (OW) and 18 normal weight (NW) participants. Serum was collected before ovulation induction, follicular fluid (FF) and aspirates were obtained during oocyte retrieval for flow cytometry, cytokines, hormone, and lipid profiles measurement. Clinical outcomes were recorded through a one-year follow-up.</p><p><strong>Results: </strong>The percentage of T cells in the pre-ovulatory follicular microenvironment, especially CD4⁺ T cells, increased significantly in the OW group, which positively related with BMI. Notably, type 2 cytokine IL4 and IL13 transcription level in OW group had significantly increased, while the type 1 cytokine IFNG only showed a non-statistically significant upward trend. Lipid profiles were screened, revealing no difference between the two groups, however, levels were higher in serum compared to FF. Additionally, the concentration gradient of TG between serum and FF was 22-fold in OW group (2.92 ± 3.66 vs. 0.13 ± 0.03), which was significantly higher than the 12-fold gradient observed in NW group (1.72 ± 0.95 vs. 0.14 ± 0.08). Furthermore, day 3 high quality embryos rate is negatively associated with BMI and exhibits a decreasing trend in OW group.</p><p><strong>Conclusion: </strong>Overweight and obesity can disrupt immune hemostasis in the pre-ovulatory follicular microenvironment, potentially leading to adverse effects on assisted reproductive outcomes.</p>","PeriodicalId":16610,"journal":{"name":"Journal of Ovarian Research","volume":"18 1","pages":"23"},"PeriodicalIF":3.8,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11796254/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143255924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Asymptomatic or mild COVID-19 infection in women prior to oocyte retrieval has no impact on embryo laboratory outcomes: a retrospective study.","authors":"Yanhong Wu, Shenghao Wu, Weijue Su, Junzhao Zhao, Liangliang Ma","doi":"10.1186/s13048-025-01601-w","DOIUrl":"10.1186/s13048-025-01601-w","url":null,"abstract":"<p><strong>Background: </strong>Few previous studies have addressed the impact of COVID-19 infection status on assisted reproductive technology outcomes. The purpose of this study was to assess whether COVID-19 infection affects ovulation induction outcomes and the laboratory outcomes of women undergoing assisted reproductive technology treatment.</p><p><strong>Methods: </strong>In total, 363 patients were divided into three groups: the COVID-19 infection group (group A, n = 49), the COVID-19 recovery group (group B, n = 119) and the COVID-19 non-infection group (group C, n = 195). Intergroup comparisons of baseline characteristics, stimulation characteristics and laboratory outcomes were performed.</p><p><strong>Results: </strong>The Gn dosage in group A was significantly higher than those in groups B and C. The duration of Gn treatment was longer in group A than in group B. In group B, the number of high-quality blastocysts was lower than that in group C. The rates of blastocyst formation (42.56%) and high-quality blastocyst formation (12.05%) in group B were significantly lower than those in group A (51.51%; P = 0.003, 16.58%; P = 0.026) and C (48.20%; P = 0.005, 16.49%; P = 0.002). The high-quality blastocyst rate in group C (34.20%) was the highest and was different from that in group B (28.33%). The main risk factor for high-quality blastocyst formation according to multivariate logistic regression analysis was recovery from COVID-19 (0.599, 95% CI: 0.360-0.996; P = 0.048).</p><p><strong>Conclusion: </strong>Asymptomatic or mild COVID-19 infection prior to oocyte retrieval may not has a significant negative effect on ovulation induction outcomes or laboratory outcomes, although the number of Gn days and dose of Gn may increase. In addition, we should pay attention to infertile women recovering from COVID-19 infection and be aware of the significant reduction in the number of high-quality blastocysts in this population.</p>","PeriodicalId":16610,"journal":{"name":"Journal of Ovarian Research","volume":"18 1","pages":"21"},"PeriodicalIF":3.8,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11789330/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143123080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of coenzyme q10 supplementation on metabolic and reproductive outcomes in obese rats.","authors":"Gisela Belén Sarrible, María Victoria Bazzano, Caterina Koutsovitis, María Guillermina Bilbao, Rodrigo Hernán Da Cuña, Melanie Neira, Julián Alberto Bartolomé, Evelin Mariel Elia","doi":"10.1186/s13048-025-01604-7","DOIUrl":"10.1186/s13048-025-01604-7","url":null,"abstract":"<p><p>Obesity, a global epidemic, is linked to adverse reproductive outcomes, including infertility and ovulation dysfunction. The cafeteria diet (CAF) serves as an animal model mirroring Western diet habit. Coenzyme Q10 (CoQ10), known for enhancing reproductive outcomes in various pathologies, is not fully understood for its effects on obesity treatment. Here, obesity was modeled using CAF-fed rats to assess CoQ10's impact on metabolic and ovarian disruptions caused by obesity. Wistar rats were divided into control (standard diet) and obese (CAF diet) groups. After 75 days, half of each group received oral CoQ10 (5 mg/kg) for 13 days, while the rest received a vehicle. Animals were euthanized during the estrus phase, and blood and ovaries were collected for analysis. CAF caused increased body weight gain (p < 0.01) associated with hyperglycemia, hypertriglyceridemia, and hypercholesterolemia (p < 0.05). Moreover, it caused a reduction in the number of AMH + follicles (p < 0.001), increasing follicular atresia (p < 0.05) and serum estradiol levels (p < 0.05). Obesity also altered the estrous cycle and reduced the ovulation rate (p < 0.05). CoQ10 administration showed beneficial effects on all ovarian disruptions but had no effect on the metabolic alterations induced by obesity. In summary, CoQ10 could be an additional treatment for obesity-related infertility in patients with normal metabolic profiles. While CoQ10 does not affect metabolic parameters influenced by obesity, crucial for reproductive issues and offspring health, it is recommended as part of a treatment plan that includes a balanced diet and increased physical activity for obese individuals with metabolic alterations seeking pregnancy.</p>","PeriodicalId":16610,"journal":{"name":"Journal of Ovarian Research","volume":"18 1","pages":"22"},"PeriodicalIF":3.8,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11789320/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143123083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exosomal insights into ovarian cancer stem cells: revealing the molecular hubs.","authors":"Kiana Sojoudi, Maryam Solaimani, Hossein Azizi","doi":"10.1186/s13048-025-01597-3","DOIUrl":"10.1186/s13048-025-01597-3","url":null,"abstract":"<p><p>Ovarian cancer is a deadly disease, often diagnosed at advanced stages due to a lack of reliable biomarkers. Exosomes, which carry a variety of molecules such as proteins, lipids, DNA, and non-coding RNAs, have recently emerged as promising tools for early cancer detection. While exosomes have been studied in various cancer types, comprehensive network analyses of exosome proteins in ovarian cancer remain limited. In this study, we used a protein-protein interaction (PPI) network. Using the Clustermaker2 app and the MCODE algorithm, we identified six significant clusters within the network, highlighting regions involved in functional pathways. A four-fold algorithmic approach, including MCC, DMNC, Degree, and EPC, identified 12 common hub genes. STRING analysis and visualization techniques provided a detailed understanding of the biological processes associated with these hub genes. Notably, 91.7% of the identified hub genes were involved in translational processes, showing an important role in protein synthesis regulation in ovarian cancer. In addition, we identified the miRNAs and LncRNAs carried by ovarian cancer exosomes. These findings highlight potential biomarkers for early detection and therapeutic targets.</p>","PeriodicalId":16610,"journal":{"name":"Journal of Ovarian Research","volume":"18 1","pages":"20"},"PeriodicalIF":3.8,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11784003/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143074568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}