Publications by authors named "C L Librach"

Background: Blastocyst morphology has been demonstrated to be associated with ploidy status. Existing artificial intelligence models use manual grading or 2D images as the input for euploidy prediction, which suffer from subjectivity from observers and information loss due to incomplete features from 2D images. Here we aim to predict euploidy in human blastocysts using quantitative morphological parameters obtained by 3D morphology measurement.

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Understanding the molecular circuitries that govern early embryogenesis is important, yet our knowledge of these in human preimplantation development remains limited. Small non-coding RNAs (sncRNAs) can regulate gene expression and thus impact blastocyst formation, however, the expression of specific biotypes and their dynamics during preimplantation development remains unknown. Here we identify the abundance of and kinetics of piRNA, rRNA, snoRNA, tRNA, and miRNA from embryonic day (E)3-7 and isolate specific miRNAs and snoRNAs of particular importance in blastocyst formation and pluripotency.

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Purpose: To identify factors associated with three decision outcomes along the planned oocyte cryopreservation (POC) pathway: fertility assessment completion, POC uptake, and multiple POC cycles uptake.

Methods: A single-site retrospective cohort study of 425 patients who sought POC consultation from 2018-2022 before and during the COVID-19 pandemic.

Results: The mean age of patients at consultation was 35.

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Article Synopsis
  • Extracellular vesicles (EVs) are important particles that facilitate communication between cells and are involved in various body functions, particularly in ovarian health and disorders like PCOS and endometriosis.
  • Research indicates that EVs, especially those found in follicular fluid, play significant roles in ovarian follicle development and could serve as diagnostic tools for these conditions.
  • The studies reviewed highlight specific miRNAs related to PCOS, while in endometriosis, EVs affect immune responses and could serve as potential biomarkers for understanding disease severity.
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