Langhussein1191

We conclude that PTX3 is secreted mainly through conventional protein secretion, and a small percentage of PTX3 is released in exosomes from LPS-stimulated adipocytes.

Background Although exposure to stings has been identified as the leading risk factor for anaphylaxis due to Hymenoptera venom allergy, professional beekeepers receive hundreds yearly without developing systemic reactions. Objective This study aims to analyse the mechanisms underlying bee venom tolerance in beekeepers.

A cross-sectional study was conducted. Participants were recruited and classified into three groups allergic patients (AP) experiencing systemic reactions after bee stings, with a positive intradermal test and specific IgE (sIgE) to Apis mellifera venom (AmV); tolerant beekeepers (TBK) receiving ≥50 stings/year; and healthy non-exposed controls (HC). Serum levels of sIgE and specific IgG4 (sIgG4) to AmV, rApi m 1, rApi m 2, rApi m 3, Api m 4, rApi m 5 and rApi m10, as well as AmV-induced basophil degranulation, percentage of T-cell subsets, regulatory T-cells (Treg cells) and IL-10 production, were measured.

APs had high levels of sIgE to AmV and all its allergic components (p<0.001) together with a high basophil activation rate (p<0.001) compared to TBKs. Conversely, compared to APs, TBKs showed higher levels of sIgG4 (p<0.001) and IL-10 (p<0.001) as well as an enhanced CTLA-4+ Treg population (p=0.001), expanded Helios- Treg (p<0.003), and reduced T-helper 1 (p=0.008), T-helper 2 (p=0.004) and T-helper 17 (p=0.007) subsets.

A different profile, strongly marked by Treg activity, was found in TBKs. This natural tolerance would be led by the expansion of inducible Helios-Treg cells at a peripheral level. Helios-Treg population could be a novel candidate biomarker useful for monitoring tolerance.

A different profile, strongly marked by Treg activity, was found in TBKs. This natural tolerance would be led by the expansion of inducible Helios-Treg cells at a peripheral level. Helios-Treg population could be a novel candidate biomarker useful for monitoring tolerance.Longer poly(A) tails improve translation in early development, but not in mature cells that have higher levels of the protein PABPC.In animal oocytes and early embryos, mRNA poly(A)-tail length strongly influences translational efficiency (TE), but later in development this coupling between tail length and TE disappears. Here, we elucidate how this coupling is first established and why it disappears. Overexpressing cytoplasmic poly(A)-binding protein (PABPC) in Xenopus oocytes specifically improved translation of short-tailed mRNAs, thereby diminishing coupling between tail length and TE. Thus, strong coupling requires limiting PABPC, implying that in coupled systems longer-tail mRNAs better compete for limiting PABPC. SGI-110 order In addition to expressing excess PABPC, post-embryonic mammalian cell lines had two other properties that prevented strong coupling terminal-uridylation-dependent destabilization of mRNAs lacking bound PABPC, and a regulatory regime wherein PABPC contributes minimally to TE. Thus, these results revealed three fundamental mechanistic requirements for coupling and defined the context-dependent functions for PABPC, which promotes TE but not mRNA stability in coupled systems and mRNA stability but not TE in uncoupled systems.Toxoplasma gondii is widespread worldwide and can infect swine. This study evaluated the seroprevalence of T. gondii in swine from central China after an outbreak of African swine fever (ASF). A total of 2683 swine serum samples were collected from farms in four provinces. Of the serum samples, 1.42% (38/2683) (95% CI, 1.03-1.94) tested positive for T. gondii IgG antibody by a modified agglutination test (MAT) (cut-off 125). Comparing with the results of previous studies, specifically our survey from before the outbreak, the seroprevalence of T. gondii in swine from central China was significantly decreased after the occurrence of ASF (OR = 7.679, 2015-2017 vs. 2019-2020). In general, the proportion of seropositive animals increased with the age of the swine, indicating post-natal transmission of T. gondii. Furthermore, there was a significant difference in seroprevalence between suckling pigs and weaned pigs (p less then 0.05). This is the first large-scale investigation of T. gondii infection in swine after an ASF outbreak in China. The lower seroprevalence of T. gondii in swine after ASF may be due to stricter biosecurity measures on the farms, but results indicated swine exposure to zoonotic parasites despite these measures. This highlights that pigs must be considered a potential source of human T. gondii infections.There are research questions whose answers require record linkage of multiple databases that may be characterized by limited options for full data sharing. For this purpose, the Open Data Infrastructure for Social Science and Economic Innovations (ODISSEI) consortium has supported the development of the ODISSEI Secure Supercomputer (OSSC) platform that allows researchers to link cohort data to data from Statistics Netherlands and run large-scale analyses in a high-performance computing (HPC) environment. Here, we report a successful record linkage genomewide association (GWA) study on expenditure for total health, mental health, primary and hospital care, and medication. Record linkage for genotype data from 16,726 participants from the Netherlands Twin Register (NTR) with data from Statistics Netherlands was accomplished in the secure OSSC platform, followed by gene-based tests and estimation of total and single nucleotide polymorphism (SNP)-based heritability. The total heritability of expenditure ranged between 29.4% (SE 0.8) and 37.5% (SE 0.8), but GWA analyses did not identify SNPs or genes that were genomewide significantly associated with health care expenditure. SNP-based heritability was between 0.0% (SE 3.5) and 5.4% (SE 4.0) and was different from zero for mental health care and primary care expenditure. We conclude that successfully linking genotype data to administrative health care expenditure data from Statistics Netherlands is feasible and demonstrates a series of analyses on health care expenditure. The OSSC platform offers secure possibilities for analyzing linked data in large scale and realizing sample sizes required for GWA studies, providing invaluable opportunities to answer many new research questions.