Estimating genetic nurture with summary statistics of multigenerational genome-wide association studies.

Marginal effect estimates in genome-wide association studies (GWAS) are mixtures of direct and indirect genetic effects. Existing methods to dissect these effects require family-based, individual-level genetic, and phenotypic data with large samples, which is difficult to obtain in practice. Here, we propose a statistical framework to estimate direct and indirect genetic effects using summary statistics from GWAS conducted on own and offspring phenotypes. Applied to birth weight, our method showed nearly identical results with those obtained using individual-level data. We also decomposed direct and indirect genetic effects of educational attainment (EA), which showed distinct patterns of genetic correlations with 45 complex traits. The known genetic correlations between EA and higher height, lower body mass index, less-active smoking behavior, and better health outcomes were mostly explained by the indirect genetic component of EA. In contrast, the consistently identified genetic correlation of autism spectrum disorder (ASD) with higher EA resides in the direct genetic component. A polygenic transmission disequilibrium test showed a significant overtransmission of the direct component of EA from healthy parents to ASD probands. Taken together, we demonstrate that traditional GWAS approaches, in conjunction with offspring phenotypic data collection in existing cohorts, could greatly benefit studies on genetic nurture and shed important light on the interpretation of genetic associations for human complex traits.

Human Umbilical Cord Mesenchymal Stem Cells-Derived Exosomal MicroRNA-18b-3p Inhibits the Occurrence of Preeclampsia by Targeting LEP.

Exosomes derived from human umbilical cord mesenchymal stem cells (hucMSCs) expressing microRNAs have been highlighted in human diseases. However, the detailed molecular mechanism of hucMSCs-derived exosomal miR-18b-3p on preeclampsia (PE) remains further investigation. We aimed to investigate the effect of exosomes and miR-18b-3p/leptin (LEP) on occurrence of PE. The morphology of the hucMSC and hucMSC-exosomes (Exos) was identified. The exosomes were infected with different lentivirus expressing miR-18b-3p to explore the role of miR-18b-3p in PE. The PE rat model was established by intraperitoneal injection of N-nitro-L-arginine methyl ester. The expression of LEP and miR-18b-3p was tested in PE rat placenta tissues. Also, the effect of exosomes on LEP and miR-18b-3p expression was detected. The systolic blood pressure (SBP), proteinuria, inflammatory factors, the weight of fetal rat and placenta and cell apoptosis in PE rats were detected. Finally, the relationship between miR-18b-3p and LEP was verified using dual-luciferase reporter gene assay and RNA pull-down assay. Exosomes, restoring miR-18b-3p or inhibiting LEP reduced SBP and proteinuria of PE rats as well as increased the weight of fetal rat and placenta, decreased serum levels of inflammatory factors as well as suppressed apoptotic cells of PE rats, exerting a suppressive effect on PE progression. miR-18b-3p was decreased and LEP was increased in placenta tissues of PE rats. LEP was the direct target gene of miR-18b-3p. Upregulation of miR-18b-3p or treatment of the exosomes suppressed LEP expression and reduced PE occurrence, while downregulation of miR-18b-3p had contrary effects. Downregulated LEP reversed the effect of miR-18b-3p reduction on PE rats. HucMSCs-derived exosomal miR-18b-3p targets LEP to participate in the occurrence and development of PE. This study may provide a novel theoretical basis for the mechanism and investigation of PE.

Laser Remelting Process Simulation and Optimization for Additive Manufacturing of Nickel-Based Super Alloys.

Nickel-based super alloys are popular for applications in the energy and aerospace industries due to their excellent corrosion and high-temperature resistance. Direct metal deposition (DMD) of nickel alloys has reached technology readiness for several applications, especially for the repair of turbomachinery components. However, issues related to part quality and defect formation during the DMD process still persist. Laser remelting can effectively prevent and repair defects during metal additive manufacturing (AM); however, very few studies have focused on numerical modeling and experimental process parameter optimization in this context. Therefore, the aim of this study is to investigate the effect of determining the remelting process parameters via numerical simulation and experimental analyses in order to optimize an industrial process chain for part repair by DMD. A heat conduction model analyzed 360 different process conditions, and the predicted melt geometry was compared with observations from a fluid flow model and experimental single tracks for selected reference conditions. Subsequently, the remelting process was applied to a demonstrator repair case. The results show that the models can well predict the melt pool shape and that the optimized remelting process increases the bonding quality between base and DMD materials. Therefore, DMD part fabrication and repair processes can benefit from the remelting step developed here.

Development of fucosyltransferase and fucosidase inhibitors.

L-Fucose-containing glycoconjugates are essential for a myriad of physiological and pathological activities, such as inflammation, bacterial and viral infections, tumor metastasis, and genetic disorders. Fucosyltransferases and fucosidases, the main enzymes involved in the incorporation and cleavage of L-fucose residues, respectively, represent captivating targets for therapeutic treatment and diagnosis. We herein review the important breakthroughs in the development of fucosyltransferase and fucosidase inhibitors. To demonstrate how the synthesized small molecules interact with the target enzymes, i.e. delineation of the structure-activity relationship, we cover the reaction mechanisms and resolved X-ray crystal structures, discuss how this information guides the design of enzyme inhibitors, and explain how the molecules were optimized to achieve satisfying potency and selectivity.

Discovery of different types of inhibition between the human and thermotoga maritima alpha-fucosidases by fuconojirimycin-based derivatives.

An efficient method for examining the selectivity of inhibitors on two alpha-fucosidases, one from Thermotoga maritima and the other from human, was established. The X-ray crystal structure of the former enzyme makes possible the homology modeling of the human alpha-fucosidase, indicating the major difference between both enzymes in the periphery of the catalytic site. To investigate the difference at the molecular level, a variety of fuconojirimycin (FNJ) derivatives with substitution at C1, C2, C6, or N were rapidly prepared in microplates and screened without purification for the inhibition activities of the two alpha-fucosidases. Among the molecules that were tested, only the substitution at C1 can significantly enhance the inhibitory potency, in contrast to the control (no substitution) and compounds with substitution at other positions. The majority of C1-substituted FNJs were found to be slow tight-binding inhibitors of the Thermotoga enzyme, while acting as the reversible inhibitors of the human fucosidase. The best inhibitor exhibited 13,700-fold difference in affinity between the two enzymes, which was attributed to the dissimilar aglycon binding site. Further investigations were carried out, including site-directed mutagenesis, the comparison of K(i) values among the wild type and mutants, and the intrinsic fluorescence change upon inhibitor titration, all supporting the idea that Tyr64 and Tyr267 of the Thermotoga alpha-fucosidase are critically involved in closely interacting with the aglycon of inhibitors. The increased level of contact thus induced conformational change, leading to the observed slow tight-binding inhibition.