Analysis of chicken macrophage functions and gene expressions following infectious bronchitis virus M41 infection

Infectious bronchitis virus (IBV) is a pathogenic coronavirus with high morbidity and mortality in chicken breeding. Macrophages with normal biofunctions are essential for host immune responses. In this study, the HD11 chicken macrophage cell line and chicken peripheral blood mononuclear cell-derived macrophages (PBMCs-Mφ) were infected with IBV at multiplicity of infection (MOI) of 10. The dynamic changes of their biofunctions, including cell viability, pathogen elimination function, phagocytic ability, and gene expressions of related proteins/mediators in innate and acquired immunity, inflammation, autophagy and apoptosis were analyzed. Results showed that IBV infection decreased chicken macrophage viability and phagocytic ability, and increased pathogen elimination function. Moreover, IBV augmented the gene expressions of most related proteins in macrophages involved in multiple host bioprocesses, and the dynamic changes of gene expressions had a close relationship with virus replication. Among them, MHCII, Fc receptor, TLR3, IFN-α, CCL4, MIF, IL-1β, IL-6, and iNOS showed significantly higher expressions in IBV-infected cells. However, TLR7, MyD88, MDA5, IFN-γ, MHCII, Fc receptor, MARCO, CD36, MIF, XCL1, CXCL12, TNF-α, iNOS, and IL-10 showed early decreased expressions. Overall, chicken macrophages play an important role in host innate and acquired immune responses to resist IBV infection, despite early damage or suppression. Moreover, the IBV-induced autophagy and apoptosis might participate in the virus-host cell interaction which is attributed to the biological process.

Temperature elevation and Vibrio cyclitrophicus infection reduce the diversity of haemolymph microbiome of the mussel Mytilus coruscus

Haemolymph microbiome was considered to be unique to healthy invertebrates and beneficial to the host against external pathogens, including disease resistance and maintenance of homeostasis. Here, we investigated the effects of elevated water temperature on infection of haemolymph microbiome of the hard-shelled mussel (Mytilus coruscus). Exposure to Vibrio. cyclitrophicus resulted in high mortality of mussels on day nine at 27 °C. The haemolymph was collected to determine the microbiota by 16 S rRNA gene sequencing. Exposure to waterborne V. cyclitrophicus increased the mortality of mussels that was associated with a reduction in the diversity of their microbial community. Principal coordinate analysis (PCoA) revealed that temperature was an essential factor in shaping microbial communities in mussel haemolymph. Vibrio exposure promoted the proliferation of opportunistic pathogens (e.g., Arcobacter and Francisella) at a lower temperature. A high abundance of Vibrio present in live and dead mussels, at 27 °C might contribute greatly to mortality, as indicated by linear discriminant analysis effect size (LEfSe). These data suggested that the dynamics of microbial community have unique biomarker species in mussel haemolymph that could be used as health indicators. An elevated temperature may reduce the ability of bacterial elimination function against infection in mussel haemolymph.

Evolutionary background of allergic reactivity: mast cells, FcεRI, IgE - three components of the effector phase of the allergic response

The literature data on the evolution of the main obligatory participants in the effector phase of the IgE-mediated allergic response are presented: mast cells/basophils, immunoglobulin E, and high affinity receptor for the Fcε fragment (FcεRI). Allergic reactivity is considered as the most recent evolutionary immunologically-mediated acquisition of mammals. It is aimed at recognizing small amounts of allergen entering the body in a certain time regime, and organizing an allergen-specific inflammation that carries features of elimination function. The most biologically justified way to prevent allergies is to restore the function of barrier systems and, accordingly, to prevent the need to develop an allergic response.

KESIAPAN FISIK DALAM KEBERHASILAN TOILET TRAINING PADA BALITA

Development theory states that toddler children enter the anal stagecharacterized by the development of satisfaction (kateksis) and dissatisfaction(antikateksis) around the elimination function. Failure of toilet training can be caused dueto the use of diapers up to the age of 4 years so as to increase the risk of bladderproblems. This study uses a quantitative research with descriptive design with crosssectional analytic. The sample in this study is the mother and child in early childhoodeducation and early childhood Baitul Izzah Ababil Bengkulu city bumbering 81 people.The collection of data by using a questionnaire sheet. The data analysis was conductedquantitative univariate and bivariat using Chi Square.The result of this study, the norelation between eduction and the mother with the success of implementing toilet trainingin childern in early childhood Ababil Izzah Bengkulu City 2016 p:0,663), there is arealitionship attitude to the success of implementing Toilet training on their childern inearly childhood Ababil and Baitul Izzah Bengkulu city 2016 (p:0,016) no relitionshipPhysical Readiness to implement successful Toilet Traning in Childern in early childhoodeducarion and Baitul Izzah Bengkulu city in 2016 (p:0,001).Expected early childhoodteaching team can implement Toilet Taning activities on childern in eraly childhoodeducation dropped off to improve gross motor development of childern so tahat childernstill do development.

MEEF: A Minimum-Elimination-Escape Function Method for Multimodal Optimization Problems

Auxiliary function methods provide us effective and practical ideas to solve multimodal optimization problems. However, improper parameter settings often cause troublesome effects which might lead to the failure of finding global optimal solutions. In this paper, a minimum-elimination-escape function method is proposed for multimodal optimization problems, aiming at avoiding the troublesome “Mexican hat” effect and reducing the influence of local optimal solutions. In the proposed method, the minimum-elimination function is constructed to decrease the number of local optimum first. Then, a minimum-escape function is proposed based on the minimum-elimination function, in which the current minimal solution will be converted to the unique global maximal solution of the minimum-escape function. The minimum-escape function is insensitive to its unique but easy to adopt parameter. At last, an minimum-elimination-escape function method is designed based on these two functions. Experiments on 19 widely used benchmarks are made, in which influences of the parameter and different initial points are analyzed. Comparisons with 11 existing methods indicate that the performance of the proposed algorithm is positive and effective.