Identification of new biomarkers of human endometrial receptivity in the natural cycle.

BACKGROUND: Identification of new markers assessing endometrial receptivity may help in improving the clinical outcome of IVF. This study aimed at identifying genes expressed in human endometrium during the implantation window that could be used as such markers. METHODS: A series of normoresponder patients (n = 31) underwent endometrial biopsies (n = 62, 2 per patient) during the early secretory phase, 2 days after the LH surge (LH + 2) and the mid-secretory phase (LH + 7) of the same natural cycle that preceded a new ICSI attempt for male infertility factor. Samples were analyzed using DNA microarrays and gene expression profiles at the time of the implantation window were computed. Systems biology analysis allowed the identification of biological pathways that were over-represented in this signature. A new approach for class prediction applied to microarray experiments was then used to identify biomarkers putatively involved in endometrial receptiveness. RESULTS: Five genes expressed during the implantation window were all up-regulated in the LH + 7 samples compared with LH + 2 [laminin beta3 (P = 0.002), microfibril-associated protein 5 (P = 0.009), angiopoietin-like 1 (P = 0.005), endocrine gland-derived vascular endothelial growth factor (P = 0.049) and nuclear localized factor 2 (P = 0.007)]. Increased expression was validated by quantitative RT-PCR. CONCLUSIONS: Five genes have been identified for the first time as being up-regulated during the implantation window and are proposed as new biomarkers for exploration of endometrial receptiveness. As the endometrial biopsy procedure can be performed during a natural cycle, it would be worth testing this approach as a novel strategy in patients with poor implantation after IVF or ICSI.

Non-Fickian dispersion in a single fracture.

Solute transport in fractured rocks is of major interest in many applications, from the petroleum industry to ground water management. This work focuses on the dispersion process in a transparent replica of a real single fracture. The fracture exhibits strong changes in heterogeneity, with the first half very heterogeneous and the second half fairly homogeneous. Three models have been used to interpret the tracer experiments: the classical advection-dispersion equation (ADE), the continuous time random walk (CTRW), and the stratified model. The main goals were to test these models and to study possible correlations between fitting parameters and heterogeneities. As expected, the solution derived from the ADE equation appears to be unable to model long-time tailing behavior. On the other hand, the results confirm the CTRW robustness and the coefficient beta seems well correlated to heterogeneities. Finally, the stratified model is also able to describe non-Fickian dispersion. The parameters defined by this model are correlated to the heterogeneities of the fracture.

[Could apoptotic markers help the exploration of male infertility?]. / Les marqueurs apoptotiques ont-ils leur place comme marqueurs potentiels de l'exploration de l'infertilité masculine ?

Apoptosis is a cell death program involved in different steps of spermatogenesis, first at puberty, at the beginning of spermatogenesis, then in adult testicles by controlling normal spermatogenesis. As a result, apoptosis deregulation can affect spermatogenesis. Many studies have provided evidence that apoptosis deregulation in germinal cells resulted in male infertility. In addition, apoptosis detection in ejaculated spermatozoa arouses a growing interest in research as a reliable marker of spermatozoon quality. The aim of this review is to summarize our knowledge on physiological apoptosis during spermatogenesis, and then analyse the possibility of using apoptotic markers as selective markers of spermatozoon quality to optimize the rate of success of in vitro fertilization.