Our study compared 84 patients with polycystic ovary syndrome (PCOS) with 84 control patients who had normal ovaries and who were matched for the main determinants of success in in-vitro fertilization (IVF) and embryo transfer. Serum concentrations of oestradiol and progesterone on the day of human chorionic gonadotrophin (HCG) injection were significantly higher in PCOS than in normal patients (oestradiol 2016 +/- 1.8 pg/ml versus 1456 +/- 40.9 pg/ml, P < 0.01; progesterone 1.6 +/- 0.1 ng/ml versus 1.2 +/- 0.1 ng/ml, P = 0.03). Furthermore despite oocytes from PCOS patients having a reduced fertilization rate compared with normal patients (61.8 +/- 4.1% versus 73.5 +/- 4.3%, P = 0.03), the differences in pregnancy rate (22.6 versus 19%) and miscarriage (31.5 versus 18.7%) were not statistically significant. In PCOS patients, a critical breakpoint was identified at serum progesterone concentrations of 1.2 ng/ml on the day of HCG injection. The PCOS patients with progesterone > or = 1.2 ng/ml showed a higher pregnancy and miscarriage rate than PCOS patients with progesterone < 1.2 ng/ml (26.6 versus 17.9%, P < 0.01; and 41.7% versus 14.3%, P < 0.01 respectively). These findings suggest that premature progesterone production does not have an adverse effect on pregnancy rate in PCOS, but on the contrary, may be a predictor for success in IVF/embryo transfer.
Mutations in the retina-specific ABC transporter (ABCR) gene are responsible for autosomal recessive Stargardt disease (arSTGD). Mutation detection efficiency in ABCR in arSTGD patients ranges between 30% and 66% in previously published studies, because of high allelic heterogeneity and technical limitations of the employed methods. Conditions were developed to screen the ABCR gene by double-gradient denaturing-gradient gel electrophoresis. The efficacy of this method was evaluated by analysis of DNA samples with previously characterized ABCR mutations. This approach was applied to mutation detection in 44 Italian arSTGD patients corresponding to 36 independent genomes, in order to assess the nature and frequency of the ABCR mutations in this ethnic group. In 34 of 36 (94.4%) STGD patients, 37 sequence changes were identified, including 26 missense, six frameshift, three splicing, and two nonsense variations. Among these, 20 had not been previously described. Several polymorphisms were detected in affected individuals and in matched controls. Our findings extend the spectrum of mutations identified in STGD patients and suggest the existence of a subset of molecular defects specific to the Italian population. The identification of at least two disease-associated mutations in four healthy control individuals indicates a higher than expected carrier frequency of variant ABCR alleles in the general population. Genotype-phenotype analysis in our series showed a possible correlation between the nature and location of some mutations and specific ophthalmoscopic features of STGD disease.
Objective: Congenital hyperinsulinism is the most common cause of persistent hypoglycemia in infancy (HI), leading to severe neurologic disabilities if not promptly treated. The recent application of positron emission tomography (PET)/computed tomography (CT) scanning with 18-fluoro-L-3,4 dihydroxyphenylalanine improved the ability to distinguish the two histopathologic forms of HI (focal and diffuse), whose differentiation heavily influences the therapeutic management of the patient. Case report: We describe the case of a patient presenting with severe hypoglycemia from infancy. High concentration of insulin suggested the diagnosis of congenital hyperinsulinism. No metabolic disorders related to amino acid, organic acids or fatty acid oxidation were detected. Medical treatment was able to obtain a satisfactory metabolic response. Results: The patient underwent PET/CT scanning, revealing a diffuse form of the disease. The absence of mutations in KCNJ11 and ABCC8 genes (responsible for 50% of HI cases), and whole genome single nucleotide polymorphisms analysis by microarray suggested the HADH gene as a likely candidate. Sequence analysis revealed a novel homozygous nonsense mutation (R236X) in HADH gene. Conclusions: This case indicates that mutations of the HADH gene should be sought in hyperinsulinemic patients in whom diffuse form of HI and autosomal recessive inheritance can be presumed when KCNJ11 and ABCC8 genes mutational screening is negative, even in the absence of altered organic acids and acylcarnitines concentration.
The underlying cause of anovulation and miscarriage in polycystic ovary syndrome (PCOS) is unknown. Progesterone may play an important role in oocyte fertilization and embryo implantation. Therefore, in this study we analyse the endocrine function of luteinizing granulosa cells to synthesize progesterone in vivo and in vitro in PCOS and normal patients participating in an in-vitro fertilization programme. Human luteinizing granulosa cells were obtained from 10 patients with normal ovaries (controls) and 10 patients with PCOS by follicular aspiration of individual follicles of each patient and pooled in an attempt to obtain three groups: cells from follicle sizes < or =10,>10< or =15 and > or =16. Serum concentrations of oestradiol and progesterone on the day of human chorionic gonadotrophin (HCG) injection were significantly higher (P < 0.01 and P < 0.05) in PCOS patients than in controls. After HCG stimulation, in-vitro progesterone production was enhanced in granulosa cells of the control group and concentrations increased with follicular size as expected. However, the concentration of progesterone of PCOS patients did not increase with follicular size and there was a significant difference between normal and PCOS groups in follicles >10< or =15 mm (P < 0.05) and > or =16 mm (P < 0.01). Oestradiol production was increased in follicles > or =16 mm in both groups, although this did not reach significance. In summary, it seems that PCOS granulosa cells demonstrate an abnormal capacity to synthesize progesterone in vivo and in vitro. The understanding of granulosa cell function in PCOS may explain the anovulation and miscarriage that occurs in these patients.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.