Human reproduction is a rather inefficient process, yet the molecular reasons for this inefficiency remain unknown. IVF and embryo transfer (IVF-embryo transfer) also results in a high frequency of implantation failures and early spontaneous abortions. Here we show that the anandamide (AEA)-degrading enzyme, fatty acid amide hydrolase (FAAH), had significantly lower activity (46 +/- 17 versus 161 +/- 74 pmol/min per mg protein) and protein content (0.10 +/- 0.03 versus 0.23 +/- 0.06 units) in lymphocytes of IVF-embryo transfer patients who failed to achieve an ongoing pregnancy than in those who become pregnant, and this was paralleled by a significant increase in blood AEA (4.0 +/- 2.2 pmol/ml and 0.9 +/- 1.0 pmol/ml respectively). The blood levels of the other endocannabinoid, 2-arachidonoylglycerol, or of the AEA congener, N-palmitoylethanolamine, which are metabolized by enzymes different from FAAH, was not different between the pregnant and nonpregnant women, nor was there any difference in the activity of the AEA membrane transporter or the amounts of cannabinoid receptors in lymphocytes. Taken together with the reported negative effects of AEA on embryo implantation, this study indicates that low FAAH activity and subsequent increased AEA levels in blood might be one of the causes of implantation failure or pregnancy loss, thereby leading to a better understanding of the pathophysiological and therapeutic implications of endocannabinoids in human fertility.
One of the most relevant aspects in assisted reproduction technology is the possibility of characterizing and identifying the most viable oocytes or embryos. In most cases, embryologists select them by visual examination and their evaluation is totally subjective. Recently, due to the rapid growth in the capacity to extract texture descriptors from a given image, a growing interest has been shown in the use of artificial intelligence methods for embryo or oocyte scoring/selection in IVF programmes. This work concentrates the efforts on the possible prediction of the quality of embryos and oocytes in order to improve the performance of assisted reproduction technology, starting from their images. The artificial intelligence system proposed in this work is based on a set of Levenberg-Marquardt neural networks trained using textural descriptors (the local binary patterns). The proposed system was tested on two data sets of 269 oocytes and 269 corresponding embryos from 104 women and compared with other machine learning methods already proposed in the past for similar classification problems. Although the results are only preliminary, they show an interesting classification performance. This technique may be of particular interest in those countries where legislation restricts embryo selection. One of the most relevant aspects in assisted reproduction technology is the possibility of characterizing and identifying the most viable oocytes or embryos. In most cases, embryologists select them by visual examination and their evaluation is totally subjective. Recently, due to the rapid growth in our capacity to extract texture descriptors from a given image, a growing interest has been shown in the use of artificial intelligence methods for embryo or oocyte scoring/selection in IVF programmes. In this work, we concentrate our efforts on the possible prediction of the quality of embryos and oocytes in order to improve the performance of assisted reproduction technology, starting from their images. The artificial intelligence system proposed in this work is based on a set of Levenberg-Marquardt neural networks trained using textural descriptors (the 'local binary patterns'). The proposed system is tested on two data sets, of 269 oocytes and 269 corresponding embryos from 104 women, and compared with other machine learning methods already proposed in the past for similar classification problems. Although the results are only preliminary, they showed an interesting classification performance. This technique may be of particular interest in those countries where legislation restricts embryo selection.
Several reports have established that the action of neurotrophins is not restricted to the nervous system but can affect a broad range of non-neuronal cells. Nerve growth factor (NGF) is present in adult testis and has been suggested as a potential regulator of meiosis in rat seminiferous epithelium. Here we present an extensive immunohistochemical study on neurotrophins and their receptors (p75 and trk) in the developing mouse testis and epididymis, and in fetal human testis. During the early steps of testicular and epididymal organization in the mouse, strong p75 immunoreactivity is detectable in the gonadal ridge in the mesenchyme that is excluded from the evolving testicular cords, and in the mesenchymal cells of the mesonephros. Later in organogenesis, most of the p75-positive interstitial cells of the testis coexpress neurotrophin-3 (NT-3) and the truncated trk B receptor in a developmentally regulated pattern. Our Western blot data confirm the expression of these molecules. These findings suggest that neurotrophin receptors play a role in early inductive events during critical periods of testicular and epididymal development. During fetal and postnatal histogenesis, an increasing number of NT-3- and p75-positive mesenchymal cells start to express alpha-smooth muscle isoactin, suggesting a role for the so-called neurotrophic system in the differentiation of testicular myoid cells and epididymal smooth muscle cells. In the testis of an 18-wk gestational-age human fetus, immunohistochemical analysis has shown intense immunoreactivity of mesenchymal cells to antibodies for neurotrophin receptors p75, trk A, and trk C, and their ligands NGF and NT-3. In addition, we found that in the human fetal testis, the interstitial cells that are differentiating into peritubular myoid cells are associated with a dense network of nerve fibers. Our data suggest that neurotrophins and their receptors are involved in a multifunctional system that regulates cell differentiation and innervation in the developing testis and epididymis.
The aim of this paper is to present a method which allows to select, more accurately than it is currently done, embryos, at the desired stage of development, which will lead to births, although perhaps with some slight differences in precision, that are deemed to be important. Thus we show that embryos, pronuclei and oocytes consist at least of two types: those suitable for procreation and those not suitable and both types can be recognised easily by an automatic procedure at whatever stage is desired. From their digitilised images before transfer, specific characteristics are formulated automatically and through a particular pattern recognition algorithm the specimen is recognised as belonging to one of two groups with a high precision. The algorithm works in two stages: in the first, the images and their outcomes are used to train the algorithm and in a second stage, on the basis of the rule learnt in training, embryos, pronuclei or oocytes are classified. As multiple transfers and pregnancies occur the training must be carried out with an imprecise ‘teacher’ through a suitable algorithm which can handle this.
BackgroundAim of this pilot study is to examine the effects of myo-inositol administration on ovarian response and oocytes and embryos quality in non PolyCystic Ovary Syndrome (PCOS) patients undergoing multiple follicular stimulation and in vitro insemination by conventional in vitro fertilization or by intracytoplasmic sperm injection.MethodsOne hundred non-PCOS women aged <40 years and with basal FSH <10 mUI/ml were down-regulated with triptorelin acetate from the mid-luteal phase for 2 weeks, before starting the stimulation protocol for oocytes recovery. All patients received rFSH, at a starting dose of 150 IU for 6 days. The dose was subsequently adjusted according to individual response. Group B (n = 50) received myo-inositol and folic acid for 3 months before the stimulation period and then during the stimulation itself. Group A (n-50) received only folic acid as additional treatment in the 3 months before and through treatment.ResultsTotal length of the stimulation was similar between the two groups. Nevertheless, total amount of gonadotropins used to reach follicular maturation was found significantly lower in group B. In addition, the number of oocytes retrieved was significantly reduced in the group pretreated with myo-inositol. Clinical pregnancy and implantation rate were not significantly different in the two groups.ConclusionsOur findings suggest that the addition of myo-inositol to folic acid in non PCOS-patients undergoing multiple follicular stimulation for in-vitro fertilization may reduce the numbers of mature oocytes and the dosage of rFSH whilst maintaining clinical pregnancy rate. Further, a trend in favor of increased incidence of implantation in the group pretreated with myo-inositol was apparent in this study. Further investigations are warranted to clarify this pharmacological approach, and the benefit it may hold for patients.
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