123 research outputs found

    Identification of novel genetic susceptibility loci for Behçet's disease using a genome-wide association study

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    Introduction Behcet's disease is a chronic systemic inflammatory disease that remains incompletely understood. Herein, we perform the first genome-wide association study in Behcet's disease

    Shift in the submucosal microbiome of diseased peri-implant sites after non-surgical mechanical debridement treatment

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    ObjectivesThe object of this prospective study was to assess the submucosal microbiome shifts in diseased peri-implant sites after non-surgical mechanical debridement therapy.Materials and methodsSubmucosal plaques were collected from 14 healthy implants and 42 diseased implants before and eight weeks after treatment in this prospective study. Mechanical debridement was performed using titanium curettes, followed by irrigation with 0.2% (w/v) chlorhexidine. Subsequently, 16S rRNA gene sequencing was used to analyze the changes in the submucosal microbiome before and after the non-surgical treatment.ResultsClinical parameters and the submucosal microbiome were statistically comparable before and after mechanical debridement. The Alpha diversity decreased significantly after mechanical debridement. However, the microbial richness varied between the post-treatment and healthy groups. In network analysis, the post-treatment increased the complexity of the network compared to pre-treatment. The relative abundances of some pathogenic species, such as Porphyromonas gingivalis, Tannerella forsythia, Peptostreptococcaceae XIG-6 nodatum, Filifactor alocis, Porphyromonas endodontalis, TM7 sp., and Desulfobulbus sp. HMT 041, decreased significantly following the non-surgical treatment.ConclusionsNon-surgical treatment for peri-implant diseases using mechanical debridement could provide clinical and microbiological benefits. The microbial community profile tended to shift towards a healthy profile, and submucosal dysbiosis was relieved following mechanical debridement

    Self-monitoring and self-delivery of self-assembled fluorescent nanoparticles in cancer therapy

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    Purpose: Due to the shortcomings of nanocarriers, the development of carrier-free nanodelivery systems has attracted more and more attention in cancer treatment. However, there are few studies on carrier-free nanosystems that can simultaneously achieve monitoring functions. Here a multifunctional carrier-free nanosystem loaded with curcumin and irinotecan hydrochloride was established for the treatment and monitoring of gastric cancer. Methods: In this study, an irinotecan hydrochloride-curcumin nanosystem in the early stage (the system is named SICN) was prepared. Based on the fluorescence of curcumin, flow cytometry, laser confocal microscopy, and zebrafish fluorescence imaging were used to study the monitoring function of SICN in vivo and in vitro. In addition, HGC-27 human gastric cancer cells were used to study SICN cytotoxicity. Results: Flow cytometry and zebrafish fluorescence imaging monitoring results showed that the uptake of SICN was significantly higher than free curcumin, and the excretion rate was lower. SICN had higher accumulation and retention in cells and zebrafish. Laser confocal microscopy monitoring results showed that SICN was internalized into HGC-27 cells through multiple pathways, including macropinocytosis, caveolin, and clathrin-mediated and clathrin-independent endocytosis, and distributed intracellularly throughout the whole cytoplasm, including lysosomes and Golgi apparatus. In vitro cell experiments showed that SICN nanoparticles were more toxic than single components, and HGC-27 cells had more absorption and higher toxicity to nanoparticles under slightly acidic conditions. Conclusion: SICN is a promising carrier-free nanoparticle, and the combination of two single-component therapies can exert a synergistic antitumor effect. When exposed to a tumor acidic environment, SICN showed stronger cytotoxicity due to charge conversion. More importantly, the nanoparticles' self-monitoring function has been developed, opening up new ideas for combined tumor therapy.National Natural Science Foundation of China Youth Science Fund Project [81903777]; Ministry of Education, Youth and Sports of the Czech RepublicMinistry of Education, Youth & Sports - Czech Republic [RP/CPS/2020/002]; Sichuan Province Science and Technology Basic Condition Platform Project [2019JDPT0032]; Xinglin Scholars Discipline Talent Research Promotion Plan [CXTD2018012]; Open Research Fund of Chengdu University of Traditional Chinese Medicine Key Laboratory of Systematic Research of Distinctive Chinese Medicine Resources in Southwest China [2020XSGG014]RP/ CPS/2020/002; 2020XSGG014; 2019JDPT0032; CXTD2018012; National Outstanding Youth Science Fund Project of National Natural Science Foundation of China, IUSS: 81903777; Ministerstvo Školství, Mládeže a Tělovýchovy, MŠM

    Molecular Cloning, Expression Profiling, and Marker Validation of the Chicken Myoz3 Gene

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    Myozenin3 (Myoz3) has been reported to bind multiple Z-disc proteins and hence play a key role in signal transduction and muscle fiber type differentiation. The purpose of current study is to better understand the basic characteristics of Myoz3. Firstly, we cloned the ORF (open reading frame) of the Myoz3 gene. AA (amino acid) sequence analysis revealed that the Myoz3 gene encodes a 26 kDa protein which have 97% identities with that of turkey. Expression profiling showed that Myoz3 mRNA is mainly expressed in leg muscle and breast muscle. Furthermore, we investigated Myoz3 gene polymorphisms in two broiler breeds, the Yellow Bantam (YB) and the Avian. Five SNPs (single nucleotide polymorphisms) were identified in the YB breed and 3 were identified in the Avian breed. Genotypes and haplotype were constructed and their associations with carcass traits were analyzed. In the YB breed, c.516 C>T had a strong effect on both shank bone length and the * value of breast muscle, and the H1H3 diplotype had the highest FC compared to other diplotypes. The markers identified in this study may serve as useful targets for the marker-assisted selection (MAS) of growth and meat quality traits in chickens

    Transposable element-initiated enhancer-like elements generate the subgenome-biased spike specificity of polyploid wheat

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    Transposable elements (TEs) comprise ~85% of the common wheat genome, which are highly diverse among subgenomes, possibly contribute to polyploid plasticity, but the causality is only assumed. Here, by integrating data from gene expression cap analysis and epigenome profiling via hidden Markov model in common wheat, we detect a large proportion of enhancer-like elements (ELEs) derived from TEs producing nascent noncoding transcripts, namely ELE-RNAs, which are well indicative of the regulatory activity of ELEs. Quantifying ELE-RNA transcriptome across typical developmental stages reveals that TE-initiated ELE-RNAs are mainly from RLG_famc7.3 specifically expanded in subgenome A. Acquisition of spike-specific transcription factor binding likely confers spike-specific expression of RLG_famc7.3-initiated ELE-RNAs. Knockdown of RLG_famc7.3-initiated ELE-RNAs resulted in global downregulation of spike-specific genes and abnormal spike development. These findings link TE expansion to regulatory specificity and polyploid developmental plasticity, highlighting the functional impact of TE-driven regulatory innovation on polyploid evolution

    Comparison of soil erosion models used to study the Chinese Loess Plateau

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    The Loess Plateau suffers from severe soil erosion that leads to a series of ecological and economic problems such as reduced land productivity, exacerbated rural poverty, decreased biodiversity and sedimentation of the riverbed in the lower reaches of the Yellow River. Soil erosion models are commonly used on the Loess Plateau to help target sustainable land management strategies to control soil erosion. In this study, we compared eleven soil erosion models that were previously used on the Loess Plateau. We studied their prediction accuracy, process representation, data and calibration requirements, and potential application in scenario studies. The selected models consisted of a broad range of model types, structures and scales. The comparison showed that process-based and empirical models did not necessarily yield more accurate results over one another for the Loess Plateau. Among the process-based models, Si’ model, WEPP and MMF had the highest prediction accuracy. However, some of the selected models were tested with total sediment load while others were tested with suspended sediment load (i.e. bedload is not included), which is subject to several drawbacks. Research questions that each of the models can address on the Loess Plateau were suggested. Further improvement of soil erosion models for the Loess Plateau should concentrate on enhancing the quality of data for model implementation and testing, incorporating key processes into process-based models according to their aims and scales, comparing models that address the same research questions, and implementing internal and spatial model testing
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