Elevated serum urate concentrations can cause gout, a prevalent and painful inflammatory arthritis. By combining data from >140,000 individuals of European ancestry within the Global Urate Genetics Consortium (GUGC), we identified and replicated 28 genome-wide significant loci in association with serum urate concentrations (18 new regions in or near TRIM46, INHBB, SFMBT1, TMEM171, VEGFA, BAZ1B, PRKAG2, STC1, HNF4G, A1CF, ATXN2, UBE2Q2, IGF1R, NFAT5, MAF, HLF, ACVR1B-ACVRL1 and B3GNT4). Associations for many of the loci were of similar magnitude in individuals of non-European ancestry. We further characterized these loci for associations with gout, transcript expression and the fractional excretion of urate. Network analyses implicate the inhibins-activins signaling pathways and glucose metabolism in systemic urate control. New candidate genes for serum urate concentration highlight the importance of metabolic control of urate production and excretion, which may have implications for the treatment and prevention of gout.

Chronic kidney disease (CKD), impairment of kidney function, is a serious public health problem, and the assessment of genetic factors influencing kidney function has substantial clinical relevance. Here, we report a meta-analysis of genome-wide association studies for kidney function–related traits, including 71,149 east Asian individuals from 18 studies in 11 population-, hospital- or family-based cohorts, conducted as part of the Asian Genetic Epidemiology Network (AGEN). Our meta-analysis identified 17 loci newly associated with kidney function–related traits, including the concentrations of blood urea nitrogen, uric acid and serum creatinine and estimated glomerular filtration rate based on serum creatinine levels (eGFRcrea) (P < 5.0 × 10−8). We further examined these loci with in silico replication in individuals of European ancestry from the KidneyGen, CKDGen and GUGC consortia, including a combined total of ~110,347 individuals. We identify pleiotropic associations among these loci with kidney function–related traits and risk of CKD. These findings provide new insights into the genetics of kidney function.

The expression patterns of four maternal effect genes (MEG), namely zygote arrest 1 (ZAR1), maternal antigen that embryo requires (MATER), growth differentiation factor 9 (GDF9) and bone morphogenetic protein 15 (BMP15), were determined in ovine oocytes and in vitro-produced preimplantation embryos. The existence of ZAR1 and MATER in ovine species has not been reported previously. Reverse transcription-polymerase chain reaction was performed on germinal vesicle and IVM MII oocytes, as well as in in vitro fertilised and cultured two-, four-, eight- and 12/16-cell embryos, morulae and blastocysts. Quantification of gene expression by real-time polymerase chain reaction showed the highest abundance of all transcripts analysed in the immature oocyte. During the following stages of preimplantation development, the mRNAs examined exhibited different patterns of expression, but often significant decreases were observed during maturation and maternal-embryonic transition. The transcription of the four genes did not resume with activation of the genome.

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In veterinary medicine, assay performance is often affected by the lack of species-specific diagnostic tools. Reliable biomarkers might be identified by investigating biological fluids of the species of interest, but protein sequence databases are often incomplete and human-specific devices for reducing sample complexity might fail when applied to animal plasma. Here, seven commercial methods based on different capturing agents (anti-human antibodies, affinity ligands, mixture of antibodies and ligands, and combinatorial peptide ligand libraries) are applied to cat plasma and evaluated in terms of yield, identified proteins/ peptides, and relative abundance by high-resolution shotgun proteomics and label-free quantitation. As a result, anti-human antibody-based methods are unsatisfactory. Most fail in reducing albumin and immunoglobulins, and some lead to a substantial removal of other highly abundant proteins, probably because of nonspecific interactions. A protein A/dye ligand-based method is efficient in reducing immunoglobulins, fibrinogen, and apolipoprotein A1 and A2, but not albumin, and protein identifications do not increase. Only peptide ligand libraries flatten the dynamic range, and increased protein identification (59.0%). Albumin and immunoglobulins are successfully depleted (60.7% and 35.9%, respectively). Although further studies will be required for reinforcing our observations, this work can provide a useful guide for cat plasma pretreatment in biomarker discovery studies.