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  1. Article: Effect of cyclophosphamide combined with glucocorticoid therapy on idiopathic membranous nephropathy: A multicenter open-label randomized controlled trial.

    Wang, Jianlin / Bian, Dong / Sun, Jian

    Clinical nephrology

    2024  

    Abstract: Objective: We aimed to evaluate the effect of cyclophosphamide combined with glucocorticoid therapy on idiopathic membranous nephropathy through a multicenter open-label randomized controlled trial.: Materials and methods: 92 patients with idiopathic ...

    Abstract Objective: We aimed to evaluate the effect of cyclophosphamide combined with glucocorticoid therapy on idiopathic membranous nephropathy through a multicenter open-label randomized controlled trial.
    Materials and methods: 92 patients with idiopathic membranous nephropathy admitted from March 2020 to September 2022 were included and assigned to a control group (n = 46) and a research group (n = 46) using a random number table. The control group was given glucocorticoid, and the research group was given cyclophosphamide combined with glucocorticoid. Clinical efficacy, renal function-related indicators (serum creatinine, blood urea nitrogen and albumin, and 24-hour urine protein quantification), inflammatory factors (interleukin (IL)-6, IL-18, transforming growth factor-β, and tumor necrosis factor-α), immune function-related indicators (anti-phospholipase A2 receptor antibody, and T-lymphocyte subsets), oxidative stress-related indicators (heme oxygenase-1, superoxide dismutase, malondialdehyde, and nitric oxide), blood lipid-related indicators (total cholesterol, triacylglycerol, and low-density lipoprotein), and adverse reactions were compared.
    Results: The overall remission rate of the research group was higher than that of the control group (93.48 vs. 78.26%, p < 0.05). After treatment, the research group had lower levels of 24-hour urine protein quantification, serum creatinine, blood urea nitrogen, IL-6, IL-18, transforming growth factor-β, tumor necrosis factor-α, heme oxygenase-1, malondialdehyde, anti-phospholipase A2 receptor antibody, CD8+, total cholesterol, triacylglycerol and low-density lipoprotein, higher levels of albumin, superoxide dismutase, nitric oxide, and CD4+ and a higher CD4+/CD8+ ratio than the control group (p < 0.05).
    Conclusion: Cyclophosphamide combined with glucocorticoid therapy is effective for improving the overall remission rate and can suppress inflammatory responses and oxidative stress in patients with idiopathic membranous nephropathy.
    Language English
    Publishing date 2024-04-12
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 185101-9
    ISSN 0301-0430
    ISSN 0301-0430
    DOI 10.5414/CN111287
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Rainfall's impact on agricultural production and government poverty reduction efficiency in China.

    Wang, Jianlin / You, Zhanglan / Song, Pengfei / Fang, Zhong

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 9320

    Abstract: The quest to eradicate poverty, central to the United Nations Sustainable Development Goals (SDGs), poses a significant global challenge. Advancement in sustainable rural development is critical to this effort, requiring the seamless integration of ... ...

    Abstract The quest to eradicate poverty, central to the United Nations Sustainable Development Goals (SDGs), poses a significant global challenge. Advancement in sustainable rural development is critical to this effort, requiring the seamless integration of environmental, economic, and governmental elements. Previous research often omits the complex interactions among these factors. Addressing this gap, this study evaluates sustainable rural development in China by examining the interconnection between agricultural production and government-led poverty reduction, with annual rainfall considered an influential factor of climate change impacts on these sectors and overall sustainability. Utilizing a Meta-frontier entropy network dynamic Directional Distance Function (DDF) within an exogenous Data Envelopment Analysis (DEA) model, we categorize China's 27 provinces into southern and northern regions according to the Qinling-Huaihe line for a comparative study of environmental, economic, and governmental efficiency. This innovative approach overcomes the limitations of previous static analyses. The findings reveal: (1) Rainfall, as an exogenous variable, significantly affects agricultural production efficiency. (2) The overall efficiency in both southern and northern regions increases when accounting for rainfall. (3) Government effectiveness in poverty reduction is comparatively lower in the northern region than in the southern region when rainfall is considered. These insights underscore the importance of including climatic variables in sustainable development policies and emphasize the need for region-specific strategies to bolster resilience against climatic challenges.
    Language English
    Publishing date 2024-04-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-59282-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Comprehensive Analysis of Microbiome, Metabolome, and Transcriptome Revealed the Mechanisms of Intestinal Injury in Rainbow Trout under Heat Stress.

    Zhou, Changqing / Gao, Pan / Wang, Jianlin

    International journal of molecular sciences

    2023  Volume 24, Issue 10

    Abstract: Global warming is one of the most common environmental challenges faced by cold-water fish farming. Intestinal barrier function, gut microbiota, and gut microbial metabolites are significantly altered under heat stress, posing serious obstacles to the ... ...

    Abstract Global warming is one of the most common environmental challenges faced by cold-water fish farming. Intestinal barrier function, gut microbiota, and gut microbial metabolites are significantly altered under heat stress, posing serious obstacles to the healthy artificial culture of rainbow trout. However, the molecular mechanisms underlying intestinal injury in rainbow trout under heat stress remain unclear. In the present study, the optimal growth temperature for rainbow trout (16 °C) was used for the control group, and the maximum temperature tolerated by rainbow trout (24 °C) was used for the heat stress group, which was subjected to heat stress for 21 days. The mechanism of intestinal injury in rainbow trout under heat stress was explored by combining animal histology, 16S rRNA gene amplicon sequencing, ultra-high performance liquid chromatography-mass spectrometry, and transcriptome sequencing. The results showed that the antioxidant capacity of rainbow trout was enhanced under heat stress, the levels of stress-related hormones were significantly increased, and the relative expression of genes related to heat stress proteins was significantly increased, indicating that the heat stress model of rainbow trout was successfully established. Secondly, the intestinal tract of rainbow trout showed inflammatory pathological characteristics under heat stress, with increased permeability, activation of the inflammatory factor signaling pathway, and increased relative expression of inflammatory factor genes, suggesting that the intestinal barrier function was impaired. Thirdly, heat stress caused an imbalance of intestinal commensal microbiota and changes in intestinal metabolites in rainbow trout, which participated in the stress response mainly by affecting lipid metabolism and amino acid metabolism. Finally, heat stress promoted intestinal injury in rainbow trout by activating the peroxisome proliferator-activated receptor-α signaling pathway. These results not only expand the understanding of fish stress physiology and regulation mechanisms, but also provide a scientific basis for healthy artificial culture and the reduction of rainbow trout production costs.
    MeSH term(s) Animals ; Oncorhynchus mykiss/genetics ; Transcriptome ; RNA, Ribosomal, 16S/genetics ; Heat-Shock Response/genetics ; Gastrointestinal Microbiome ; Metabolome
    Chemical Substances RNA, Ribosomal, 16S
    Language English
    Publishing date 2023-05-10
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms24108569
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Prediction of drug-disease associations based on reinforcement symmetric metric learning and graph convolution network.

    Luo, Huimin / Zhu, Chunli / Wang, Jianlin / Zhang, Ge / Luo, Junwei / Yan, Chaokun

    Frontiers in pharmacology

    2024  Volume 15, Page(s) 1337764

    Abstract: Accurately identifying novel indications for drugs is crucial in drug research and discovery. Traditional drug discovery is costly and time-consuming. Computational drug repositioning can provide an effective strategy for discovering potential drug- ... ...

    Abstract Accurately identifying novel indications for drugs is crucial in drug research and discovery. Traditional drug discovery is costly and time-consuming. Computational drug repositioning can provide an effective strategy for discovering potential drug-disease associations. However, the known experimentally verified drug-disease associations is relatively sparse, which may affect the prediction performance of the computational drug repositioning methods. Moreover, while the existing drug-disease prediction method based on metric learning algorithm has achieved better performance, it simply learns features of drugs and diseases only from the drug-centered perspective, and cannot comprehensively model the latent features of drugs and diseases. In this study, we propose a novel drug repositioning method named RSML-GCN, which applies graph convolutional network and reinforcement symmetric metric learning to predict potential drug-disease associations. RSML-GCN first constructs a drug-disease heterogeneous network by integrating the association and feature information of drugs and diseases. Then, the graph convolutional network (GCN) is applied to complement the drug-disease association information. Finally, reinforcement symmetric metric learning with adaptive margin is designed to learn the latent vector representation of drugs and diseases. Based on the learned latent vector representation, the novel drug-disease associations can be identified by the metric function. Comprehensive experiments on benchmark datasets demonstrated the superior prediction performance of RSML-GCN for drug repositioning.
    Language English
    Publishing date 2024-02-07
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2024.1337764
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Identification of m6A/m5C-related lncRNA signature for prediction of prognosis and immunotherapy efficacy in esophageal squamous cell carcinoma.

    Wang, Jianlin / Ren, Huiwen / Xu, Chao / Yu, Bo / Cai, Yiling / Wang, Jian / Ni, Xinye

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 8238

    Abstract: N6-methyladenosine (m6A) and 5-methylcytosine (m5C) RNA modifications have garnered significant attention in the field of epigenetic research due to their close association with human cancers. This study we focus on elucidating the expression patterns of ...

    Abstract N6-methyladenosine (m6A) and 5-methylcytosine (m5C) RNA modifications have garnered significant attention in the field of epigenetic research due to their close association with human cancers. This study we focus on elucidating the expression patterns of m6A/m5C-related long non-coding RNAs (lncRNAs) in esophageal squamous cell carcinoma (ESCC) and assessing their prognostic significance and therapeutic potential. Transcriptomic profiles of ESCC were derived from public resources. m6A/m5C-related lncRNAs were obtained from TCGA using Spearman's correlations analysis. The m6A/m5C-lncRNAs prognostic signature was selected to construct a RiskScore model for survival prediction, and their correlation with the immune microenvironment and immunotherapy response was analyzed. A total of 606 m6A/m5C-lncRNAs were screened, and ESCC cases in the TCGA cohort were stratified into three clusters, which showed significantly distinct in various clinical features and immune landscapes. A RiskScore model comprising ten m6A/m5C-lncRNAs prognostic signature were constructed and displayed good independent prediction ability in validation datasets. Patients in the low-RiskScore group had a better prognosis, a higher abundance of immune cells (CD4 + T cell, CD4 + naive T cell, class-switched memory B cell, and Treg), and enhanced expression of most immune checkpoint genes. Importantly, patients with low-RiskScore were more cline benefit from immune checkpoint inhibitor treatment (P < 0.05). Our findings underscore the potential of RiskScore system comprising ten m6A/m5C-related lncRNAs as effective biomarkers for predicting survival outcomes, characterizing the immune landscape, and assessing response to immunotherapy in ESCC.
    MeSH term(s) Humans ; Esophageal Squamous Cell Carcinoma/genetics ; Esophageal Squamous Cell Carcinoma/therapy ; RNA, Long Noncoding/genetics ; Esophageal Neoplasms/genetics ; Esophageal Neoplasms/therapy ; Prognosis ; Immunotherapy ; Tumor Microenvironment/genetics ; Adenine
    Chemical Substances RNA, Long Noncoding ; 6-methyladenine ; Adenine (JAC85A2161)
    Language English
    Publishing date 2024-04-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-58743-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Drug-drug interactions prediction based on deep learning and knowledge graph: A review.

    Luo, Huimin / Yin, Weijie / Wang, Jianlin / Zhang, Ge / Liang, Wenjuan / Luo, Junwei / Yan, Chaokun

    iScience

    2024  Volume 27, Issue 3, Page(s) 109148

    Abstract: Drug-drug interactions (DDIs) can produce unpredictable pharmacological effects and lead to adverse events that have the potential to cause irreversible damage to the organism. Traditional methods to detect DDIs through biological or pharmacological ... ...

    Abstract Drug-drug interactions (DDIs) can produce unpredictable pharmacological effects and lead to adverse events that have the potential to cause irreversible damage to the organism. Traditional methods to detect DDIs through biological or pharmacological analysis are time-consuming and expensive, therefore, there is an urgent need to develop computational methods to effectively predict drug-drug interactions. Currently, deep learning and knowledge graph techniques which can effectively extract features of entities have been widely utilized to develop DDI prediction methods. In this research, we aim to systematically review DDI prediction researches applying deep learning and graph knowledge. The available biomedical data and public databases related to drugs are firstly summarized in this review. Then, we discuss the existing drug-drug interactions prediction methods which have utilized deep learning and knowledge graph techniques and group them into three main classes: deep learning-based methods, knowledge graph-based methods, and methods that combine deep learning with knowledge graph. We comprehensively analyze the commonly used drug related data and various DDI prediction methods, and compare these prediction methods on benchmark datasets. Finally, we briefly discuss the challenges related to drug-drug interactions prediction, including asymmetric DDIs prediction and high-order DDI prediction.
    Language English
    Publishing date 2024-02-07
    Publishing country United States
    Document type Journal Article ; Review
    ISSN 2589-0042
    ISSN (online) 2589-0042
    DOI 10.1016/j.isci.2024.109148
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Developmental regulation of zinc homeostasis in differentiating oligodendrocytes.

    Elitt, Christopher M / Ross, Madeline M / Wang, Jianlin / Fahrni, Christoph J / Rosenberg, Paul A

    Neuroscience letters

    2024  Volume 831, Page(s) 137727

    Abstract: Oligodendrocytes develop through sequential stages and understanding pathways regulating their differentiation remains an important area of investigation. Zinc is required for the function of enzymes, proteins and transcription factors, including those ... ...

    Abstract Oligodendrocytes develop through sequential stages and understanding pathways regulating their differentiation remains an important area of investigation. Zinc is required for the function of enzymes, proteins and transcription factors, including those important in myelination and mitosis. Our previous studies using the ratiometric zinc sensor chromis-1 demonstrated a reduction in intracellular free zinc concentrations in mature MBP+ oligodendrocytes compared with earlier stages (Bourassa et al., 2018). We performed a more detailed developmental study to better understand the temporal course of zinc homeostasis across the oligodendrocyte lineage. Using chromis-1, we found a transient increase in free zinc after O4+,O1- pre-oligodendrocytes were switched from proliferation medium into terminal differentiation medium. To gather other evidence for dynamic regulation of free zinc during oligodendrocyte development, qPCR was used to evaluate mRNA expression of major zinc storage proteins metallothioneins (MTs) and metal regulatory transcription factor 1 (MTF1), which controls expression of MTs. MT1, MT2 and MTF1 mRNAs were increased several fold in mature oligodendrocytes compared to oligodendrocytes in proliferation medium. To assess the depth of the zinc buffer, we assayed zinc release from intracellular stores using the oxidizing thiol reagent 2,2'-dithiodipyridine (DTDP). Exposure to DTDP resulted in ∼ 100% increase in free zinc in pre-oligodendrocytes but, paradoxically more modest ∼ 60% increase in mature oligodendrocytes despite increased expression of MTs. These results suggest that zinc homeostasis is regulated during oligodendrocyte development, that oligodendrocytes are a useful model for studying zinc homeostasis in the central nervous system, and that regulation of zinc homeostasis may be important in oligodendrocyte differentiation.
    Language English
    Publishing date 2024-03-11
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 194929-9
    ISSN 1872-7972 ; 0304-3940
    ISSN (online) 1872-7972
    ISSN 0304-3940
    DOI 10.1016/j.neulet.2024.137727
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: A recombinant capripoxvirus expressing the F protein of peste des petits ruminants virus and the P12A3C of foot-and-mouth disease virus.

    Li, Jidong / Wang, Jianlin / Guo, Yanan / Gong, Zhenxing / Cai, Xuepeng

    BMC veterinary research

    2023  Volume 19, Issue 1, Page(s) 18

    Abstract: Background: Peste des petits ruminants (PPR), foot-and-mouth disease (FMD) and sheep pox and goat pox are three important infectious diseases that infect goats, sheep and other small ruminants. It is well-known that the prevention of three diseases rely ...

    Abstract Background: Peste des petits ruminants (PPR), foot-and-mouth disease (FMD) and sheep pox and goat pox are three important infectious diseases that infect goats, sheep and other small ruminants. It is well-known that the prevention of three diseases rely mainly on their individual vaccines. However, the vaccines have a variety of different disadvantages, such as short duration of immunity, increasing the number of vaccinations, and poor thermal stability. The purpose of this study is to construct a recombinant goat pox virus (rGPV) capable of expressing the F gene of PPRV and the P12A3C gene of FMDV as a live vector vaccine.
    Results: The IRES, FMDV P12A3C and PPRV F genes into the multi-cloning site of the universal transfer plasmid pTKfpgigp to construct a recombinant transfer plasmid pTKfpgigpFiP12A3C, and transfected GPV-infected lamb testis (LT) cells with liposomes and produced by homologous recombination Recombinant GPV (rGPV/PPRVF-FMDVP12A3C, rGPV). The rGPV was screened and purified by green florescence protein (GFP) and xanthine-guanine-phosphoribosyltransferase gene (gpt) of Escherichia coli as selective markers, and the expression of rGPV in LT cells was detected by RT-PCR and immunofluorescence techniques. The results showed that the virus strain rGPV/PPRVF-FMDVP12A3C containing FMDV P12A3C and PPRV F genes was obtained. The exogenous genes FMDV P12A3C and PPRV F contained in rGPV were normally transcribed and translated in LT cells, and the expression products could specifically react with PPRV and FMDV antiserum. Then, the rGPV was intradermally inoculated with goats, the animal experiments showed that rGPV/PPRVF-FMDVP12A3C could induce high levels of specific antibodies against GPV, PPRV and FMDV.
    Conclusions: The constructed rGPV induced high levels of specific antibodies against GPV, PPRV and FMDV. The study provides a reference for " one vaccine with multiple uses " of GPV live vector vaccine.
    MeSH term(s) Male ; Sheep ; Animals ; Peste-des-petits-ruminants virus/genetics ; Foot-and-Mouth Disease Virus/genetics ; Capripoxvirus/genetics ; Antibodies, Viral ; Vaccines, Synthetic ; Viral Vaccines ; Peste-des-Petits-Ruminants/prevention & control ; Goats ; Goat Diseases ; Sheep Diseases
    Chemical Substances Antibodies, Viral ; Vaccines, Synthetic ; Viral Vaccines
    Language English
    Publishing date 2023-01-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 2191675-5
    ISSN 1746-6148 ; 1746-6148
    ISSN (online) 1746-6148
    ISSN 1746-6148
    DOI 10.1186/s12917-022-03529-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Genetic diversity and pathogenicity of novel chicken astrovirus in China.

    Luan, Qingdong / Han, Yijun / Yin, Yanbo / Wang, Jianlin

    Avian pathology : journal of the W.V.P.A

    2022  Volume 51, Issue 5, Page(s) 488–498

    Abstract: Five novel chicken astrovirus (CAstV) strains, designated ZDF, MHC, WSC, WSW and MHW, were successfully isolated from chickens with gout, and were subjected to full genome sequencing characterization and tested for their pathogenic effects in specific ... ...

    Abstract Five novel chicken astrovirus (CAstV) strains, designated ZDF, MHC, WSC, WSW and MHW, were successfully isolated from chickens with gout, and were subjected to full genome sequencing characterization and tested for their pathogenic effects in specific pathogen-free (SPF) chicken embryos and chickens. The complete genomes of the five isolated strains were approximately 7436 nt to 7511 nt in length. Phylogenetic analysis revealed that strains ZDF and MHC were clustered in a clade with strains isolated in China and that the others were clustered with strains from other countries. Based on the amino acids of ORF2, strains MHW and WSW belonged to subgroup Ai, strain WSC belonged to Bii, and strains ZDF and MHC belonged to Bi. The pathogenicity of strains MHW, MHC and WSC, all belonging to different subgroups was studied. The results showed that the mortality of the chicken embryos was 100% when infected with any strain at a dose of more than 10
    MeSH term(s) Animals ; Astroviridae Infections/veterinary ; Avastrovirus ; Chick Embryo ; Chickens ; China/epidemiology ; Genetic Variation ; Gout/veterinary ; Phylogeny ; Poultry Diseases ; Virulence
    Language English
    Publishing date 2022-07-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 1476380-1
    ISSN 1465-3338 ; 0307-9457
    ISSN (online) 1465-3338
    ISSN 0307-9457
    DOI 10.1080/03079457.2022.2102966
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Genetic diversity and pathogenicity of novel chicken astrovirus in China

    Luan, Qingdong / Han, Yijun / Yin, Yanbo / Wang, Jianlin

    Avian Pathology. 2022 Sept. 03, v. 51, no. 5 p.488-498

    2022  

    Abstract: Five novel chicken astrovirus (CAstV) strains, designated ZDF, MHC, WSC, WSW and MHW, were successfully isolated from chickens with gout, and were subjected to full genome sequencing characterization and tested for their pathogenic effects in specific ... ...

    Abstract Five novel chicken astrovirus (CAstV) strains, designated ZDF, MHC, WSC, WSW and MHW, were successfully isolated from chickens with gout, and were subjected to full genome sequencing characterization and tested for their pathogenic effects in specific pathogen-free (SPF) chicken embryos and chickens. The complete genomes of the five isolated strains were approximately 7436 nt to 7511 nt in length. Phylogenetic analysis revealed that strains ZDF and MHC were clustered in a clade with strains isolated in China and that the others were clustered with strains from other countries. Based on the amino acids of ORF2, strains MHW and WSW belonged to subgroup Ai, strain WSC belonged to Bii, and strains ZDF and MHC belonged to Bi. The pathogenicity of strains MHW, MHC and WSC, all belonging to different subgroups was studied. The results showed that the mortality of the chicken embryos was 100% when infected with any strain at a dose of more than 10³ TCID₅₀, 35% in SPF chickens infected with strain WSC, 25% with MHC and 15% with MHW. The body weights of chickens and embryos infected with 0.2 ml 10 TCID₅₀ were significantly reduced after hatching. SPF chickens infected with any of the strains had similar lesions characterized by urate deposits on the epicardium and kidney, and necrotic spots on the liver. This study identified the three types of genotypic CAstV prevalent in China, with high mortality in embryonated chicken eggs and leading to white chick syndrome, retarded growth and visceral gout in infected chicks.
    Keywords Chicken astrovirus ; chickens ; chicks ; genetic variation ; genome ; gout ; kidneys ; liver ; mortality ; pathogenicity ; pericardium ; phylogeny ; specific pathogen-free animals ; China ; embryo ; SPF chicken ; phylogenetic analysis ; urate deposition
    Language English
    Dates of publication 2022-0903
    Size p. 488-498.
    Publishing place Taylor & Francis
    Document type Article ; Online
    ZDB-ID 1476380-1
    ISSN 1465-3338 ; 0307-9457
    ISSN (online) 1465-3338
    ISSN 0307-9457
    DOI 10.1080/03079457.2022.2102966
    Database NAL-Catalogue (AGRICOLA)

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