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Seminal biomarkers for the evaluation of male infertility

Asian Journal of Andrology 2016年第3期18卷 426-433,I0009页

作者： jared m bieniek Andrei P Drabovich Kirk C Lo Department of Urology Hartford Hospital Hartford CT USA Department of Clinical Biochemistry University Health Network Toronto ON Canada Department ofLaboratory medicine and Pathobiology University of Toronto Toronto ON Canada Department of Surgery Division of Urology Mount Sinai Hospital Toronto ONCanada.

For men struggling to conceive with their partners, diagnostic tools are limited and often consist of only a standard semen analysis. This baseline test serves as a crude estimation of male fertility, leaving patients and clinicians in need of additional diagnostic biomarkers. Seminal fluid contains the highest concentration of molecules from the male reproductive glands, therefore, this review focuses on current and novel seminal biomarkers in certain male infertility scenarios, including natural fertility, differentiating azoospermia etiologies, and predicting assisted reproductive technique success. Currently available tests include antisperm antibody assays, DNA fragmentation index, sperm fluorescence in situ hybridization, and other historical sperm functional tests. The poor diagnostic ability of current assays has led to continued efforts to find more predictive biomarkers. Emerging research in the fields of genomics, epigenetics, proteomics, transcriptomics, and metabolomics holds promise for the development of novel male infertility biomarkers. Seminal protein-based assays of TEXI01, ECm 1, and ACRV1 are already available or under final development for clinical use. Additional panels of DNA, RNA, proteins, or metabolites are being explored as we attempt to understand the pathophysiologic processes of male infertility. Future ventures will need to continue data integration and validation for the development of clinically useful infertility biomarkers to aid in male infertility diagnosis, treatment, and counseling.

关键词： assisted reproductive techniques diagnosis male infertility, semen

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Numerical quality control for DFT-based materials databases

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npj Computational materials 2022年第1期8卷 661-668页

作者： Christian Carbogno Kristian Sommer Thygesen Björn bieniek Claudia Draxl Luca m.Ghiringhelli Andris Gulans Oliver T.Hofmann Karsten W.Jacobsen Sven Lubeck Jens Jørgen mortensen mikkel Strange Elisabeth Wruss matthias Scheffler Fritz-Haber-Institut der max-Planck-Gesellschaft Faradayweg 4-614195BerlinGermany Center for Atomic-scale materials Design(CAmD) Department of PhysicsTechnical University of DenmarkFysikvej 12800Kongens LyngbyDenmark Physics Department and IRIS Adlershof Humboldt-Universität zu BerlinZum Großen Windkanal 612489BerlinGermany Institute of Solid State Physics Graz University of TechnologyNAWI GrazPetergasse 168010GrazAustria

Electronic-structure theory is a strong pillar of materials *** different computer codes that employ different approaches are used by the community to solve various scientific ***,the precision of different packages has only been scrutinized thoroughly not long ago,focusing on a specific task,namely selecting a popular density functional,and using unusually high,extremely precise numerical settings for investigating 71 monoatomic crystals^(1).Little is known,however,about method- and code-specific uncertainties that arise under numerical settings that are commonly used in *** shed light on this issue by investigating the deviations in total and relative energies as a function of computational *** typical settings for basis sets and k-grids,we compare results for 71 elemental^(1) and 63 binary solids obtained by three different electronic-structure codes that employ fundamentally different *** the basis of the observed trends,we propose a simple,analytical model for the estimation of the errors associated with the basis-set *** cross-validate this model using ternary systems obtained from the Novel materials Discovery (NOmAD) Repository and discuss how our approach enables the comparison of the heterogeneous data present in computational materials databases.

关键词： structure precise selecting

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