30 research outputs found

    Quantifying growing versus non-growing ovarian follicles in the mouse

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    BACKGROUND: A standard histomorphometric approach has been used for nearly 40 years that identifies atretic (e.g., dying) follicles by counting the number of pyknotic granulosa cells (GC) in the largest follicle cross-section. This method holds that if one pyknotic granulosa nucleus is seen in the largest cross section of a primary follicle, or three pyknotic cells are found in a larger follicle, it should be categorized as atretic. Many studies have used these criteria to estimate the fraction of atretic follicles that result from genetic manipulation or environmental insult. During an analysis of follicle development in a mouse model of Fragile X premutation, we asked whether these ‘historical’ criteria could correctly identify follicles that were not growing (and could thus confirmed to be dying). METHODS: Reasoning that the fraction of mitotic GC reveals whether the GC population was increasing at the time of sample fixation, we compared the number of pyknotic nuclei to the number of mitotic figures in follicles within a set of age-matched ovaries. RESULTS: We found that, by itself, pyknotic nuclei quantification resulted in high numbers of false positives (improperly categorized as atretic) and false negatives (improperly categorized intact). For preantral follicles, scoring mitotic and pyknotic GC nuclei allowed rapid, accurate identification of non-growing follicles with 98% accuracy. This method most often required the evaluation of one follicle section, and at most two serial follicle sections to correctly categorize follicle status. For antral follicles, we show that a rapid evaluation of follicle shape reveals which are intact and likely to survive to ovulation. CONCLUSIONS: Combined, these improved, non-arbitrary methods will greatly improve our ability to estimate the fractions of growing/intact and non-growing/atretic follicles in mouse ovaries

    Phthalates and Bisphenol A: presence in blood serum and follicular fluid of italian women undergoing assisted reproduction techniques

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    Background: folliculogenesis is a strictly regulated process that may be affected by endocrine disrupting chemicals (EDCs) through sometimes not so clear molecular mechanisms. Methods: we conducted a multicentric observational study involving six fertility centers across Italy, prospectively recruiting 122 women attending a fertility treatment. Recruited women had age ≤42 years, and normal ovarian reserve. Blood and follicular fluid samples were taken for EDCs measurement using liquid chromatography tandem mass spectrometry and each woman completed an epidemiological questionnaire. Results: The main EDCs found were monobutyl phthalate (MBP) (median blood: 8.96 ng/mL, follicular fluid 6.43 ng/mL), monoethylhexyl phthalate (MEHP) (median blood: 9.16 ng/mL, follicular fluid 7.68 ng/mL) and bisphenol A (BPA) (median blood: 1.89 ng/mL, follicular fluid 1.86 ng/mL). We found that serum MBP concentration was significantly associated with the considered area (p < 0.001, adj. mean: 7.61 ng/mL, 14.40 ng/mL, 13.56 ng/mL; Area 1: Milan–Turin, Area 2: Rome–Naples; Area 3: Catania–Bari, respectively) but negatively with home plastic food packaging (p = 0.004). Follicular MBP was associated with irregular cycles (p = 0.019). No association was detected between EDCs and eating habits and other clinical and epidemiological features. Conclusions: This study represents the first Italian biomonitoring of plastic EDCs in follicular fluid, laying the basis for future prospective evaluation on oocyte quality before assisted reproduction techniques (ART

    Mitochondria and Reproductive Diseases of the Female Tract

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    A RARE CASE OF PSEUDOANEURYSM OF THE AORTIC ROOT SIMULATING AN ACUTE CORONARY SYNDROME

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    Cardiovascular risk factors: arterial hypertension, dyslipidemia, IFG tolerance. In the last two months, onset of swelling edema and exertional dyspnea. Recent hospitalization for congestive heart failure with echocardiographic findings of moderate aortic valve stenosis and left ventricle wall motion abnormalities and EKG signs of myocardial ischemia. At the 24 hours Holter-EKG there was no sustained ventricular tachycardia. Patient was then admitted to our cat lab for a coronarographic examination, which showed functional occlusion of proximal IVA. During catheter placement in the right ventricle, we found evidence of a cavity communicating with aorta with aortic sphygmic wave suggesting a false aortic dissection lumen. After the coronarographic examination, a transthoracic echocardiogram was performed showing a large oval structure (6.6 x 5.47) in contiguity with left Valsalva sinus and with the origin of the left main coronary artery, suggesting the presence of a pseudoaneurysm of the aortic root. This clinical and echocardiographic suspicion was later confirmed by chest CT scan. The patient was subsequently referred to the Cardiac Surgery Department. During surgery, there was evidence of fissuring of the left coronary sinus probably caused by atherosclerotic plaque rupture. This was associated with a large pseudoaneurysm (between aorta and pulmonary trunk) and aortic valve stenosis

    Definition of a Multi-Omics Signature for Esophageal Adenocarcinoma Prognosis Prediction

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    Esophageal cancer is a highly lethal malignancy, representing 5% of all cancer-related deaths. The two main subtypes are esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC). While most research has focused on ESCC, few studies have analyzed EAC for transcriptional signatures linked to diagnosis or prognosis. In this study, we utilized single-cell RNA sequencing and bulk RNA sequencing to identify specific immune cell types that contribute to anti-tumor responses, as well as differentially expressed genes (DEGs). We have characterized transcriptional signatures, validated against a wide cohort of TCGA patients, that are capable of predicting clinical outcomes and the prognosis of EAC post-surgery with efficacy comparable to the currently accepted prognostic factors. In conclusion, our findings provide insights into the immune landscape and therapeutic targets of EAC, proposing novel immunological biomarkers for predicting prognosis, aiding in patient stratification for post-surgical outcomes, follow-up, and personalized adjuvant therapy decisions
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