ABSTRACT
INTRODUCTION: Implantation failure after transferring morphologically "good-quality" embryos in in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) may be explained by impaired endometrial receptivity. Analyzing the endometrial transcriptome analysis may reveal the underlying processes and could help in guiding prognosis and using targeted interventions for infertility. This exploratory study investigated whether the endometrial transcriptome profile was associated with short-term or long-term implantation outcomes (ie success or failure). MATERIAL AND METHODS: Mid-luteal phase endometrial biopsies of 107 infertile women with one full failed IVF/ICSI cycle, obtained within an endometrial scratching trial, were subjected to RNA-sequencing and differentially expressed genes analysis with covariate adjustment (age, body mass index, luteinizing hormone [LH]-day). Endometrial transcriptomes were compared between implantation failure and success groups in the short term (after the second fresh IVF/ICSI cycle) and long term (including all fresh and frozen cycles within 12 months). The short-term analysis included 85/107 women (33 ongoing pregnancy vs 52 no pregnancy), excluding 22/107 women. The long-term analysis included 46/107 women (23 'fertile' group, ie infertile women with a live birth after ≤3 embryos transferred vs 23 recurrent implantation failure group, ie no live birth after ≥3 good quality embryos transferred), excluding 61/107 women not fitting these categories. As both analyses drew from the same pool of 107 samples, there was some sample overlap. Additionally, cell type enrichment scores and endometrial receptivity were analyzed, and an endometrial development pseudo-timeline was constructed to estimate transcriptomic deviations from the optimum receptivity day (LH + 7), denoted as ΔWOI (window of implantation). RESULTS: There were no significantly differentially expressed genes between implantation failure and success groups in either the short-term or long-term analyses. Principal component analysis initially showed two clusters in the long-term analysis, unrelated to clinical phenotype and no longer distinct following covariate adjustment. Cell type enrichment scores did not differ significantly between groups in both analyses. However, endometrial receptivity analysis demonstrated a potentially significant displacement of the WOI in the non-pregnant group compared with the ongoing pregnant group in the short-term analysis. CONCLUSIONS: No distinct endometrial transcriptome profile was associated with either implantation failure or success in infertile women. However, there may be differences in the extent to which the WOI is displaced.
Subject(s)
Embryo Implantation , Endometrium , Infertility, Female , Transcriptome , Humans , Female , Infertility, Female/genetics , Infertility, Female/therapy , Infertility, Female/metabolism , Endometrium/metabolism , Adult , Pregnancy , Sperm Injections, Intracytoplasmic , Embryo Transfer , Fertilization in VitroABSTRACT
This study applies Value-Belief-Norm (VBN) theory to investigate fishers' pro-environmental behavioral intention and their support for policies to reduce marine litter. While pro-environmental behavioral intention is often associated with personal environmental intention at the household level, policy support represents their support for government action at the political level. Therefore, we examine whether fishers are willing to engage in both of these dimensions. Data from 369 Vietnamese fishers are analyzed using structural equation modeling with FIMIX-PLS and PLS-POS. The results show that the sequence of values, beliefs, and personal norms can explain the fishers' pro-environmental behavioral intention and their support for policies addressing marine litter. Two segments of the fishers are detected from the sample with different perspectives of engagement intention. Fishers in segment 1 placed great emphasis on the consequences of marine litter on fishing activities as a motivator for their responsible actions. Meanwhile, fishers in segment 2 express pro-environmental engagement intention driven by the concern about responsibility and moral obligation. A binary logistic regression indicates that the risks of marine litter on fishing activity can provide the explanations for the differences between them. Our findings highlight both fishers' pro-environmental behavior and policy support as important strategies for dealing with marine litter in fisheries. If implemented simultaneously, they hold promise to alleviate the environmental and economic impact of marine litter in Vietnam.
Subject(s)
Conservation of Natural Resources , Ecosystem , Conservation of Natural Resources/methods , Vietnam , Intention , FisheriesABSTRACT
Infertility is a complex condition affecting millions of couples worldwide. The current definition of infertility, based on clinical criteria, fails to account for the molecular and cellular changes that may occur during the development of infertility. Recent advancements in sequencing technology and single-cell analysis offer new opportunities to gain a deeper understanding of these changes. The endometrium has a potential role in infertility and has been extensively studied to identify gene expression profiles associated with (impaired) endometrial receptivity. However, limited overlap among studies hampers the identification of relevant downstream pathways that could play a role in the development of endometrial-related infertility. To address these challenges, we propose sequencing the endometrial transcriptome of healthy and infertile women at the single-cell level to consistently identify molecular signatures. Establishing consensus on physiological patterns in endometrial samples can aid in identifying deviations in infertile patients. A similar strategy has been used with great success in cancer research. However, large collaborative initiatives, international uniform protocols of sample collection and processing are crucial to ensure reliability and reproducibility. Overall, the proposed approach holds promise for an objective and accurate classification of endometrial-based infertility and has the potential to improve diagnosis and treatment outcomes.