144 research outputs found

    Hormonal parameters and embryological outcomes of in vitro fertilisation/intra cytoplasmic sperm injection cycles in women using dydrogesterone for the prevention of premature luteinizing hormone surge during ovarian stimulation

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    Aim. To evaluate the hormonal parameters and embryological outcomes of an ovarian stimulation protocol using dydrogesterone to prevent the premature LH surge in IVF/ICSI programmes. Materials and methods. A prospective study randomised, including 79 women with normal ovarian reserve undergoing ovarian stimulation for IVF/ICSI with recombinant FSH (rFSH) from Day 2 or 3 of the menstrual cycle. To prevent the premature LH surge, participants in Group 1 (n=38) received oral dydrogesterone 20 mg/day from the start of ovarian stimulation until the day of ovulation trigger administration. Participants in Group 2 (n=41) received a GnRH antagonist. We evaluated the starting and total dose of gonadotropins, duration of stimulation, serum levels of LH, oestradiol and progesterone on Day 1 and 6 of stimulation and the day of trigger administration, number of retrieved and mature oocytes, fertilization rate, and the number of blastocysts and cryopreserved embryos. Results. There were no significant differences in most hormonal parameters, characteristics of the ovarian stimulation and embryological outcomes between the two groups. Serum levels of progesterone in the dydrogesterone arm were higher than in the GnRH antagonist arm (2.3 nmol/l [2.03.4] vs 1.5 [1.02.4] nmol/l; p=0.026), but without any impact on the embryological outcomes. Conclusion. Prevention of premature LH surge in ovarian stimulation cycles using oral dydrogesterone may represent a convenient alternative to the conventional use of GnRH antagonists, reducing the number of required injections and potentially increasing the convenience in patients who are not planning a fresh embryo transfer

    A time-resolved proteomic and prognostic map of COVID-19.

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    COVID-19 is highly variable in its clinical presentation, ranging from asymptomatic infection to severe organ damage and death. We characterized the time-dependent progression of the disease in 139 COVID-19 inpatients by measuring 86 accredited diagnostic parameters, such as blood cell counts and enzyme activities, as well as untargeted plasma proteomes at 687 sampling points. We report an initial spike in a systemic inflammatory response, which is gradually alleviated and followed by a protein signature indicative of tissue repair, metabolic reconstitution, and immunomodulation. We identify prognostic marker signatures for devising risk-adapted treatment strategies and use machine learning to classify therapeutic needs. We show that the machine learning models based on the proteome are transferable to an independent cohort. Our study presents a map linking routinely used clinical diagnostic parameters to plasma proteomes and their dynamics in an infectious disease

    A time-resolved proteomic and prognostic map of COVID-19

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    COVID-19 is highly variable in its clinical presentation, ranging from asymptomatic infection to severe organ damage and death. We characterized the time-dependent progression of the disease in 139 COVID-19 inpatients by measuring 86 accredited diagnostic parameters, such as blood cell counts and enzyme activities, as well as untargeted plasma proteomes at 687 sampling points. We report an initial spike in a systemic inflammatory response, which is gradually alleviated and followed by a protein signature indicative of tissue repair, metabolic reconstitution, and immunomodulation. We identify prognostic marker signatures for devising risk-adapted treatment strategies and use machine learning to classify therapeutic needs. We show that the machine learning models based on the proteome are transferable to an independent cohort. Our study presents a map linking routinely used clinical diagnostic parameters to plasma proteomes and their dynamics in an infectious disease

    Long-range angular correlations on the near and away side in p–Pb collisions at

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    Centrality evolution of the charged-particle pseudorapidity density over a broad pseudorapidity range in Pb-Pb collisions at root s(NN)=2.76TeV

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    Underlying Event measurements in pp collisions at s=0.9 \sqrt {s} = 0.9 and 7 TeV with the ALICE experiment at the LHC

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    The socializing function of the university

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    The article considers the role of the university as a social institution in the urban space. The article establishes the connection and interdependence among the phenomena of the city, the university, the type of rationality, and the type of communication. The transformations of urban space and the functions of the city in history affect the organizational forms and functions of the university. The research environment at the university, using the communication practices that have developed in society, creates a certain type of rationality. The nonclassical type of rationality is formed in the industrial city environment, and university education is changing towards professionalization, and commercialization, changing communication practices and values that need to be mastered for socialization into the industrial world. The post-nonclassical type of rationality coincides with the emergence of a new type of university, created within the framework of the Bologna Process. This is associated with the emergence of so-called multiple identities, formed by a variety of socialization practices. Universities are operating in the global space of global cities and megalopolises. The convergence of these phenomena results in the transformation of the value perception of the world and the axiological paradigm of society. The activity-based method of analyzing the socialization process allowed determining the need to create the idea of a university, based on a value approach. Values and value-based communication practices in the educational system of the university allow moving to a sustainable development society

    Clinical Relevance of Secreted Small Noncoding RNAs in an Embryo Implantation Potential Prediction at Morula and Blastocyst Development Stages

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    Despite the improvements in biotechnological approaches and the selection of controlled ovarian hyperstimulation protocols, the resulting pregnancy rate from in vitro fertilization (IVF) protocols still does not exceed 30–40%. In this connection, there is an acute question of the development of a non-invasive, sensitive, and specific method for assessing the implantation potential of an embryo. A total of 110 subfertile couples were included in the study to undergo the IVF/ICSI program. Obtained embryos for transfer into the uterine cavity of patient cohort 1 (n = 60) and cohort 2 (n = 50) were excellent/good-quality blastocysts, and small noncoding RNA (sncRNA) content in the corresponding spent culture medium samples at the morula stage (n = 43) or at the blastocyst stage (n = 31) was analyzed by deep sequencing followed by qRT-PCR in real time. Two logistic regression models were developed to predict the implantation potential of the embryo with 100% sensitivity and 100% specificity: model 1 at the morula stage, using various combinations of hsa_piR_022258, hsa-let-7i-5p, hsa_piR_000765, hsa_piR_015249, hsa_piR_019122, and hsa_piR_008112, and model 2 at the blastocyst stage, using various combinations of hsa_piR_020497, hsa_piR_008113, hsa-miR-381-3p, hsa_piR_022258, and hsa-let-7a-5p. Protein products of sncRNA potential target genes participate in the selective turnover of proteins through the ubiquitination system and in the organization of the various cell cytoskeleton and nucleoskeleton structures, regulating the activity of the Hippo signaling pathway, which determines the fate specification of the blastomers

    Where Brain, Body and World Collide

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    The production cross section of electrons from semileptonic decays of beauty hadrons was measured at mid-rapidity (|y| < 0.8) in the transverse momentum range 1 < pt < 8 Gev/c with the ALICE experiment at the CERN LHC in pp collisions at a center of mass energy sqrt{s} = 7 TeV using an integrated luminosity of 2.2 nb^{-1}. Electrons from beauty hadron decays were selected based on the displacement of the decay vertex from the collision vertex. A perturbative QCD calculation agrees with the measurement within uncertainties. The data were extrapolated to the full phase space to determine the total cross section for the production of beauty quark-antiquark pairs
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