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by Keyword: implantation

Parra, Albert, Denkova, Denitza, Burgos-Artizzu, Xavier P, Aroca, Ester, Casals, Marc, Godeau, Amelie, Ares, Miguel, Ferrer-Vaquer, Anna, Massafret, Ot, Oliver-Vila, Irene, Mestres, Enric, Acacio, Monica, Costa-Borges, Nuno, Rebollo, Elena, Chiang, Hsiao Ju, Fraser, Scott E, Cutrale, Francesco, Seriola, Anna, Ojosnegros, Samuel, (2024). METAPHOR: Metabolic evaluation through phasor-based hyperspectral imaging and organelle recognition for mouse blastocysts and oocytes Proceedings Of The National Academy Of Sciences Of The United States Of America 121, e2315043121

Only 30% of embryos from in vitro fertilized oocytes successfully implant and develop to term, leading to repeated transfer cycles. To reduce time-to-pregnancy and stress for patients, there is a need for a diagnostic tool to better select embryos and oocytes based on their physiology. The current standard employs brightfield imaging, which provides limited physiological information. Here, we introduce METAPHOR: Metabolic Evaluation through Phasor-based Hyperspectral Imaging and Organelle Recognition. This non-invasive, label-free imaging method combines two-photon illumination and AI to deliver the metabolic profile of embryos and oocytes based on intrinsic autofluorescence signals. We used it to classify i) mouse blastocysts cultured under standard conditions or with depletion of selected metabolites (glucose, pyruvate, lactate); and ii) oocytes from young and old mouse females, or in vitro-aged oocytes. The imaging process was safe for blastocysts and oocytes. The METAPHOR classification of control vs. metabolites-depleted embryos reached an area under the ROC curve (AUC) of 93.7%, compared to 51% achieved for human grading using brightfield imaging. The binary classification of young vs. old/in vitro-aged oocytes and their blastulation prediction using METAPHOR reached an AUC of 96.2% and 82.2%, respectively. Finally, organelle recognition and segmentation based on the flavin adenine dinucleotide signal revealed that quantification of mitochondria size and distribution can be used as a biomarker to classify oocytes and embryos. The performance and safety of the method highlight the accuracy of noninvasive metabolic imaging as a complementary approach to evaluate oocytes and embryos based on their physiology.

JTD Keywords: Ai, Consumption, Culture, Embryo development, Fluorescence, Hyperspectral imagin, Implantation, In vitro fertilization, Infertility, Label-free imaging, Microscopy, Morphokinetics, Oxygen concentrations, Selectio, Time-lapse


Ojosnegros, S, Seriola, A, Godeau, AL, Veiga, A, (2021). Embryo implantation in the laboratory: an update on current techniques Human Reproduction Update 27, 501-530

BACKGROUND: The embryo implantation process is crucial for the correct establishment and progress of pregnancy. During implantation, the blastocyst trophectoderm cells attach to the epithelium of the endometrium, triggering intense cell-to-cell crosstalk that leads to trophoblast outgrowth, invasion of the endometrial tissue, and formation of the placenta. However, this process, which is vital for embryo and foetal development in utero, is still elusive to experimentation because of its inaccessibility. Experimental implantation is cumbersome and impractical in adult animal models and is inconceivable in humans. OBJECTIVE AND RATIONALE: A number of custom experimental solutions have been proposed to recreate different stages of the implantation process in vitro, by combining a human embryo (or a human embryo surrogate) and endometrial cells (or a surrogate for the endometrial tissue). In vitro models allow rapid high-throughput interrogation of embryos and cells, and efficient screening of molecules, such as cytokines, drugs, or transcription factors, that control embryo implantation and the receptivity of the endometrium. However, the broad selection of available in vitro systems makes it complicated to decide which system best fits the needs of a specific experiment or scientific question. To orient the reader, this review will explore the experimental options proposed in the literature, and classify them into amenable categories based on the embryo/cell pairs employed. The goal is to give an overview of the tools available to study the complex process of human embryo implantation, and explain the differences between them, including the advantages and disadvantages of each system. SEARCH METHODS: We performed a comprehensive review of the literature to come up with different categories that mimic the different stages of embryo implantation in vitro, ranging from initial blastocyst apposition to later stages of trophoblast invasion or gastrulation. We will also review recent breakthrough advances on stem cells and organoids, assembling embryo-like structures and endometrial tissues. OUTCOMES: We highlight the most relevant systems and describe the most significant experiments. We focus on in vitro systems that have contributed to the study of human reproduction by discovering molecules that control implantation, including hormones, signalling molecules, transcription factors and cytokines. WIDER IMPLICATIONS: The momentum of this field is growing thanks to the use of stem cells to build embryo-like structures and endometrial tissues, and the use of bioengineering to extend the life of embryos in culture. We propose to merge bioengineering methods derived from the fields of stem cells and reproduction to develop new systems covering a wider window of the implantation process.

JTD Keywords: in vitro models, blastocyst, blastocyst-like structures, early-pregnancy, endometrial cells, epidermal-growth-factor, gene-expression, implantation, in vitro models, in-vitro model, indian hedgehog, organoids, receptivity, self-organization, spheroids, trophoblast, trophoblast invasion, uterine receptivity, Blastocyst, Blastocyst-like structures, Early-pregnancy, Endometrial cells, Endometrial stromal cells, Epidermal-growth-factor, Gene-expression, Implantation, In vitro models, In-vitro model, Indian hedgehog, Organoids, Receptivity, Self-organization, Spheroids, Trophoblast, Trophoblast invasion, Uterine receptivity


Barhoumi, H., Haddad, R., Maaref, A., Bausells, J., Bessueille, F., Leonard, D., Jaffrezic-Renault, N., Martelet, C., Zine, N., Errachid, A., (2008). Na+-implanted membrane for a capacitive sodium electrolyte-Insulator-Semiconductor microsensors Sensor Letters International Conference of Thermal, Mechanical and Multiphysics Simulation and Experiments in Microelectronics and Microsystems (ed. -----), Amer Scientific Publishers (Lombardy, Italy) 6, (1), 204-208

Ion implanted Insulator-Semiconductor (IS) sensor that specifically detects Na+ ions have been developed using ion implantation technique. Na+ ions were directly implanted with ion energies 30, 45, and 60 keV into the IS (oxidized Si3N4/Si3N4/SiO2/P-Si) structures previously covered with a thin aluminum layer. X-ray photoelectron spectroscopy (XPS) characterization shows that sodium and aluminum ions were implanted into the oxidized Si3N4 insulating layer surface. Their atomic percentage depending on energy, fluence of the implanted ion and of the annealing temperature. The sen sitivity of the ion-implanted IS structure for Na+ and of some interfering (K+, Li+, H+, and NH4+) ions was investigated using high frequency capacitance-voltage measurements. Under optimal i mplantation conditions such as energy, fluence and annealing temperature, the developed sodium microsensor demonstrates quasi-nernstian sensitivity (50 +/- 2 mV/pNa) in the concentration range from 10(-3.7) to 10(-1) M and high lifetime greater than 16 months without any loss of sensitivity.

JTD Keywords: Na+ microsensor, Ion implantation, XPS, C-V measurements