Ab Class Research Articles

Characterization of Turbo, a TLR Ligand-based Adjuvant for Glycoconjugate Vaccines.

Many bacterial polysaccharide vaccines, including the typhoid Vi polysaccharide (ViPS) and tetravalent meningococcal polysaccharide conjugate (MCV4) vaccines, do not incorporate adjuvants and are not highly immunogenic, particularly in infants. I found that endotoxin, a TLR4 ligand in ViPS, contributes to the immunogenicity of typhoid vaccines. Because endotoxin is pyrogenic, and its levels are highly variable in vaccines, I developed monophosphoryl lipid A, a nontoxic TLR4 ligand-based adjuvant named Turbo. Admixing Turbo with ViPS and MCV4 vaccines improved their immunogenicity across all ages and eliminated booster requirement. To understand the characteristics of this adjuvanticity, I compared Turbo with alum. Unlike alum, which polarizes the response toward the IgG1 isotype, Turbo promoted Ab class switching to all IgG isotypes with affinity maturation; the magnitude of this IgG response is durable and accompanied by the presence of long-lived plasma cells in the mouse bone marrow. In striking contrast with the pathways employed by alum, Turbo adjuvanticity is independent of NLPR3, pyroptotic cell death effector Gasdermin D, and canonical and noncanonical inflammasome activation mediated by Caspase-1 and Caspase-11, respectively. Turbo adjuvanticity is primarily dependent on the MyD88 axis and is lost in mice deficient in costimulatory molecules CD86 and CD40, indicating that Turbo adjuvanticity includes activation of these pathways. Because Turbo formulations containing either monophosphoryl lipid A or TLR2 ligands, Pam2CysSerLys4, and Pam3CysSerLys4 help generate Ab response of all IgG isotypes, as an adjuvant Turbo can improve the immunogenicity of glycoconjugate vaccines against a wide range of bacterial pathogens whose elimination requires appropriate IgG isotypes.

Drugs with a negative impact on cognitive functions (part 3): antibacterial agents in patients with chronic kidney disease.

The relationship between chronic kidney disease (CKD) and cognitive function has received increased attention in recent years. Antibacterial agents (ABs) represent a critical component of therapy regimens in patients with CKD due to increased susceptibility to infections. Following our reviewing work on the neurocognitive impact of long-term medications in patients with CKD, we propose to focus on AB-induced direct and indirect consequences on cognitive function. Patients with CKD are predisposed to adverse drug reactions (ADRs) due to altered drug pharmacokinetics, glomerular filtration decline, and the potential disruption of the blood-brain barrier. ABs have been identified as a major cause of ADRs in vulnerable patient populations. This review examines the direct neurotoxic effects of AB classes (e.g. beta-lactams, fluoroquinolones, aminoglycosides, and metronidazole) on the central nervous system (CNS) in patients with CKD. We will mainly focus on the acute effects on the CNS associated with AB since they are the most extensively studied effects in CKD patients. Moreover, the review describes the modulation of the gut microbiota by ABs, potentially influencing CNS symptoms. The intricate brain-gut-kidney axis emerges as a pivotal focus, revealing the interplay between microbiota alterations induced by ABs and CNS manifestations in patients with CKD. The prevalence of antibiotic-associated encephalopathy in patients with CKD undergoing intravenous AB therapy supports the use of therapeutic drug monitoring for ABs to reduce the number and seriousness of ADRs in this patient population. In conclusion, elucidating AB-induced cognitive effects in patients with CKD demands a comprehensive understanding and tailored therapeutic strategies that account for altered pharmacokinetics and the brain-gut-kidney axis.

Engineering Agonistic Bispecifics to Investigate the Influence of Distance on Surface-Mediated Complement Activation.

The development of agonists capable of activating the human complement system by binding to the C1 complex presents a novel approach for targeted cell killing. Bispecific nanobodies and Abs can successfully use C1 for this purpose; however, efficacy varies significantly between epitopes, Ab type, and bispecific design. To address this variability, we investigated monomeric agonists of C1 in the form of bispecific nanobodies, which lack Fc domains that lead to oligomerization in Abs. These therefore offer an ideal opportunity to explore the geometric parameters crucial for C1 activation. In this study, we explored the impact of linker length as a metric for Ag and epitope location. DNA nanotechnology and protein engineering allowed us to design linkers with controlled lengths and flexibilities, revealing a critical range of end-to-end distances for optimal complement activation. We discovered that differences in complement activation were not caused by differential C1 activation or subsequent cleavage of C4, but instead impacted C4b deposition and downstream membrane lysis. Considering the importance of Ab class and subclass, this study provides insights into the structural requirements of C1 binding and activation, highlighting linker and hinge engineering as a potential strategy to enhance potency over specific cellular targets. Additionally, using DNA nanotechnology to modify geometric parameters demonstrated the potential for synthetic biology in complement activation. Overall, this research offers valuable insights into the design and optimization of agonists for targeted cell killing through complement activation.

The effect of Problem-based Learning (PBL) with mockup media in learning programmable logic controller

This research aims to (1) examine the differences in learning outcomes of programmable logic controllers between cadets who use problem-based learning strategies assisted by mockup media and problem-based learning strategies, (2) examine the differences in learning outcomes of programmable logic controllers between cadets who have high and low initial abilities, and (3) examine the interaction effect between learning strategies and initial abilities on learning outcomes of programmable logic controllers. This research uses a 2 x 2 factorial design with the object of research being the 3rd-semester airport electrical engineering study program students at Aviation Polytechnic Surabaya. The sample of this research includes 47 students of the TLB 11 AB class as the experimental group of problem-based learning strategy assisted by mockup media and 46 students of the TLB 12AB class as the control group of problem-based learning strategy. A learning outcomes test collected the data on learning outcomes in the form of multiple choice. Learning outcomes data were analyzed using two-tailed ANOVA (analysis of variance). The results showed that there is a significant difference in learning outcomes of the programmable logic controller between cadets who learn using problem-based learning assisted by mockup media and problem-based learning, there is a significant difference in learning outcomes of the programmable logic controller between cadets who have high and low initial abilities, there is no interaction effect between learning strategies and cadets' initial abilities on learning outcomes of the programmable logic controller. This research can contribute to improving students' understanding and skills in the field of PLC. Through practical experience and relevant projects, students can develop a deeper understanding of PLC concepts and improve their technical skills in designing, implementing, and solving problems related to PLC systems.

Securitization Of Ultra Micro Financing Asset In The Form Collective Investment Credit Of Asset-Backed Securities: Conceptual Design And Tax Implication In Indonesia

The Government's concern for a micro-based economy has materialized through the provision of Ultra Micro (UMi) Financing to Micro, Small, and Medium Enterprises (MSMEs) by the Government Investment Center Public Service Agency or Badan Layanan Umum Pusat Investasi Pemerintah (BLU PIP). UMi financing, as part of program credit, aims to promote self-reliance among micro-businesses that are not facilitated by the banking sector. However, limited capital from the APBN can hinder the desirability of this credit program. In order to leverage UMi financing hence it can be benefitted by more MSMEs beyond the capabilities of the APBN, the Government should diversify the funding sources for micro-businesses, not solely relying on the State Budget (APBN) but also incorporating funds from other sources. To realize this objective, the Government, through BLU PIP, can securit of receivables of Ultra Micro Financing in the form of Collective Investment Credit for Asset-Backed Securities (CIC-ABS). The objective of this research is to propose a conceptual design of CIC-ABS of UMi and examine tax implication of CIC-ABS of UMi in Indonesia. The question in this research is how to create a conceptual CIC-ABS UMi that is suitable for implementation and what are the tax implications in Indonesia. The contribution of this research is that it is pioneering concept of asset leveraging of MSME credits through Collective Investment Credit for Asset-Backed Securities (CIC-ABS) and tax implication in the unique context of Indonesia. The methodology used in this research includes the conceptual design of securitization and qualitative description to analyze tax implication of securitization of UMi's financing in the form of CIC-ABS in Indonesia. The conclusion that can be drawn from this research is that the UMi CIC-ABS conceptual design is suitable for implementation in Indonesia and tax implications are CIC-ABS of UMi subject to Corporate Income Tax at 25%, Originator incurs Corporate Income Tax on profits from the transfer, ABS Holders face varying tax treatments based on ABS class, and CIC-ABS of UMi is exempt from Value Added Tax (VAT).

Assessment of antimicrobial drugs employed at government-operated hospitals in central and northern provinces of Iraq.

Aim: To document the clinical patterns of antibiotic prescriptions in government hospitals, where the majority of physicians possess a degree-based training. Materials and Methods: A Retrospective cross section study carried out between 1/7/2022 and April 2023 that enrolling 300 patients from governmental hospitals from different provinces of Central and northern Iraq. The research form contained 15 fields divided into three sections. The first section contains social information such as age, gender, field of work, Residence and education. The second part consists of diagnosis and lab. Finding. The third part related to antibiotic uses: Number of AB prescribed, duration of using, type of use, route of administration, AB interaction, dose administration of AB, indication of Ab, and Class of AB. Results: A total of 300 eligible patients, 165 patients (55.0%) were male and 135 (45.0%) were female, patients were <20 years ages were 117 (39.0%), 25 (8.3%) from the 20-29 years age group, 40-49 years ages were 28 (9.3%) and >50 years ages were 105 (35.0%) were which belong to the pediatric population. The 198 patients (66.0%) were used cephalosporins and 106 (53.5%) of them used alone. A 13-19% percentage of patients had used penicillin, carbapenem, anti-fungal, and aminoglycoside in combination form. Conclusions: The implementation of clinical guidelines, the provision of direct instruction, and the regular dissemination of antibiogram data have the potential to encourage a more judicious consumption of antibiotics.

Assessment of human milk samples obtained pre and post-influenza vaccination reveals a poor boosting of seasonally-relevant, hemagglutinin-specific antibodies.

Influenza (flu) vaccination prevented over 100,000 hospitalizations and 7000 deaths from flu over the 2019-2020 season in the USA. Infants <6 months are the most likely to die from flu, though flu vaccines are only licensed for infants >6 months old. Therefore, it is recommended that flu vaccination occur during pregnancy, as this reduces severe complications; however, vaccination rates are suboptimal, and vaccination is also recommended postpartum. For breast/chest-fed infants, the vaccine is believed to elicit protective and robust seasonally-specific milk antibody (Ab). Few comprehensive studies exist examining Ab responses in milk after vaccination, with none measuring secretory Ab (sAb). Determining whether sAbs are elicited is critical, as this Ab class is highly stable in milk and mucosae. In the present study, our aim was to determine to what extent specific Ab titers in the milk of lactating people were boosted after seasonal influenza vaccination. Over the 2019-2020 and 2020-2021 seasons, milk was obtained pre- and post-vaccination and assessed for specific IgA, IgG, and sAb against relevant hemagglutinin (HA) antigens by a Luminex immunoassay. IgA and sAb were not found to be significantly boosted, while only IgG titers against B/Phuket/3073/2013, included in vaccines since 2015, exhibited an increase. Across the 7 immunogens examined, as many as 54% of samples exhibited no sAb boost. No significant differences for IgA, sAb, or IgG boosting were measured between seasonally-matched versus mismatched milk groups, indicating boosting was not seasonally-specific. No correlations between IgA and sAb increases were found for 6/8 HA antigens. No boost in IgG- or IgA-mediated neutralization post vaccination was observed. This study highlights the critical need to redesign influenza vaccines with the lactating population in mind, wherein the aim should be to elicit a potent seasonally-specific sAb response in milk. As such, this population must be included in clinical studies.

CD4 T Cell-Dependent and -Independent Roles for IFN-γ in Blood-Stage Malaria.

Production of IFN-γ by CD4 T cells is widely theorized to control Plasmodium parasite burden during blood-stage malaria. Surprisingly, the specific and crucial mechanisms through which this highly pleiotropic cytokine acts to confer protection against malarial disease remain largely untested invivo. Here we used a CD4 T cell-restricted Cre-Lox IFN-γ excision mouse model to test whether and how CD4 T cell-derived IFN-γ controls blood-stage malaria. Although complete absence of IFN-γ compromised control of the acute and the chronic, recrudescent blood-stage infections with P. c. chabaudi, we identified a specific, albeit modest, role for CD4 T cell-derived IFN-γ in limiting parasite burden only during the chronic stages of P. c. chabaudi malaria. CD4 T cell IFN-γ promoted IgG Ab class switching to the IgG2c isotype during P. c. chabaudi malaria in C57BL/6 mice. Unexpectedly, our data do not support gross defects in phagocytic activity in IFN-γ-deficient hosts infected with blood-stage malaria. Together, our data confirm CD4 T cell-dependent roles for IFN-γ but suggest CD4 T cell-independent roles for IFN-γ in immune responses to blood-stage malaria.

Solution of the real and complex eigenvalue problems in the ABS class

Abstract The class of ABS methods was originally developed for solving systems of linear equations in a finite number of iterations. Later it was shown that methods for solving nonlinear systems of equations, linear programming algorithms, quadratic programming, etc. are also members of the ABS class. In this paper, we show that QR factorization can also be derived from three ABS subclasses, which is an essential step in methods solving eigenvalue problems. Another possibility to use the ABS class in the eigenvalue problems is to transform a matrix to Hessenberg form which is an important initial step when solving eigenvalue problems by QR-type methods. Here we study versions of the plain QR-method which are based on the QR factorization computed by the ABS methods and compare them with the MATLAB eig () function. We also compare the ABS Hessenberg method to the MATLAB hess() function. The preliminary results show the competitiveness of 3 ABS eigenvalue solving methods with the MATLAB eig () function.

Early surgery and definitive cure in small sporadic vestibular schwannoma.

To report surgical outcomes of a cohort of small sporadic vestibular schwannoma and discuss the role of early surgery. Retrospective descriptive analysis of 234 consecutive patients with small vestibular schwannoma operated on with translabyrinthine or hearing preservation surgical approaches. Outcome measures were control of disease, postoperative facial nerve function, complications and hearing outcome. A translabyrinthine approach was performed in 59% of cases, hearing preservation surgery in 40% and transmeatal approach in 1%, respectively. Complete resection was achieved in 100% of cases. Overall, postoperative major and minor complications were 8.5% in the series, with complete recovery and no sequalae. Facial nerve function at one year postoperatively was House-Brackmann scale (HB) 1-2 in 95% of cases. The rate of hearing preservation was 70% A-B-C classes of Tokyo classification and 77% AB classes of AAOHNS classification. Early surgery in small vestibular schwannoma is a valid option, due to good functional outcomes, low morbidity and definitive cure. Early surgery is associated with better outcomes when considered in relation to non-surgical treatments reported in the literature.

A review of signaling and transcriptional control in T follicular helper cell differentiation

T follicular helper (Tfh) cells are a critical component of adaptive immunity and assist in optimal Ab-mediated defense. Multiple effector functions of Tfh support germinal center B cell survival, Ab class switching, and plasma cell maturation. In the past 2 decades, the phenotype and functional characteristics of GC Tfh have been clarified allowing for robust studies of the Th subset including activation signals and environmental cues controlling Tfh differentiation and migration during an immune response. A unique, 2-step differentiation process of Tfh has been proposed but the mechanisms underlying transition between unstable Tfh precursors and functional mature Tfh remain elusive. Likewise, newly identified transcriptional regulators of Tfh development have not yet been incorporated into our understanding of how these cells might function in disease. Here, we review the signals and downstream transcription factors that shape Tfh differentiation including what is known about the epigenetic processes that maintain Tfh identity. It is proposed that further evaluation of the stepwise differentiation pattern of Tfh will yield greater insights into how these cells become dysregulated in autoimmunity.

Using the antibody-antigen binding interface to train image-based deep neural networks for antibody-epitope classification.

High-throughput B-cell sequencing has opened up new avenues for investigating complex mechanisms underlying our adaptive immune response. These technological advances drive data generation and the need to mine and analyze the information contained in these large datasets, in particular the identification of therapeutic antibodies (Abs) or those associated with disease exposure and protection. Here, we describe our efforts to use artificial intelligence (AI)-based image-analyses for prospective classification of Abs based solely on sequence information. We hypothesized that Abs recognizing the same part of an antigen share a limited set of features at the binding interface, and that the binding site regions of these Abs share share common structure and physicochemical property patterns that can serve as a "fingerprint" to recognize uncharacterized Abs. We combined large-scale sequence-based protein-structure predictions to generate ensembles of 3-D Ab models, reduced the Ab binding interface to a 2-D image (fingerprint), used pre-trained convolutional neural networks to extract features, and trained deep neural networks (DNNs) to classify Abs. We evaluated this approach using Ab sequences derived from human HIV and Ebola viral infections to differentiate between two Abs, Abs belonging to specific B-cell family lineages, and Abs with different epitope preferences. In addition, we explored a different type of DNN method to detect one class of Abs from a larger pool of Abs. Testing on Ab sets that had been kept aside during model training, we achieved average prediction accuracies ranging from 71-96% depending on the complexity of the classification task. The high level of accuracies reached during these classification tests suggests that the DNN models were able to learn a series of structural patterns shared by Abs belonging to the same class. The developed methodology provides a means to apply AI-based image recognition techniques to analyze high-throughput B-cell sequencing datasets (repertoires) for Ab classification.

Cartilage Oligomeric Matrix Protein Induced Arthritis-A New Model for Rheumatoid Arthritis in the C57BL/6 Mouse.

The most commonly used strains in experimental research, including genetically modified strains, are C57BL/6 mice. However, so far, no reliable model for rheumatoid arthritis is available, mainly due to the restriction by the MHC class II haplotype H-2b. Collagen-induced arthritis (CIA) is the most widely used animal model of rheumatoid arthritis, but C57BL/6 strain is resistant to CIA because there is no collagen II peptide associated with H-2b. To establish a rheumatoid arthritis model in C57BL/6 mice, we immunized C57BL/6NJ (B6N) mice with human cartilage oligomeric matrix protein (COMP), which induced severe arthritis with high incidence, accompanied by a strong auto-antibody response. Native COMP was required, as denatured COMP lost its ability to induce arthritis in B6N mice. An immunodominant COMP peptide was identified as the key T cell epitope, with a perfect fit into the Ab class II peptide binding pocket. A critical amino acid in this peptide was found to be phenylalanine at position 95. Recombinant COMP mutated at position 95 (COMP_F95S) lost its ability to induce arthritis or a strong immune response in the B6N mice. In conclusion, A new model for RA has been established using C57BL/6 mice through immunization with COMP, which is dependent on a COMP specific peptide binding Ab, thus in similarity with CIA in Aq expressing strains.

Two Phase Sample and Low Power Hold Circuit Design and Simulation using Current Regulated AB Class Topology Conveyor

Two Phase Sample and Low Power Hold Circuit Design and Simulation using Current Regulated AB Class Topology Conveyor

The evidences of innovative teaching the critical and creative thinking, integrated and problem-solving abilities in RN-BSN students

Background: The principal investigator has integrated the teaching strategies and activities of critical and creative thinking with integration and problem-solving abilities in the process of guiding nursing students in the course of Nursing Practicum Project Production (NPPP) for seven years. Although the course has developed a set of indicators for evaluating the products; however, there is a lack of indicators of evaluating the critical and creative thinking, integration and problem-solving abilities of the nursing students. In the 2018 year, the professional growth program for the teachers through the expert meeting and faculties discussion has developed the indicators of evaluating the critical and creative thinking, integration and problem-solving abilities for the nursing students completing the course of NPPP. The purpose of this study was to explore the evidences of the innovative teaching among the critical and creative thinking, integration and problem-solving abilities of nursing students before and after the course of NPPP.Methods: The mixed methods including the quasi-experimental and four factor designs were used in this study and the samples were the two-year program nursing students of the AB classes with the majority of them who have had the clinical working experiences. A class was the experimental group, integrating the teaching strategies and activities of critical and creative thinking, integration and problem-solving abilities. B class was used the traditional teaching. The two classes of nursing students were conducted self-assessment of the critical and creative thinking, integration and problem-solving abilities before and after the 2019 course of NPPP to understand the effectiveness of innovative teaching in the critical and creative thinking, integration and problem-solving abilities of RN-BSN students.Results: The critical and creative thinking, integration and problem-solving abilities of RN-BSN students in A class not only has improved significantly after conducting the innovative teaching, but also has the higher scores than the comparison B class. Additionally, no matter the principal investigator or other two faculties instructed the A group of RN-BSN students, the critical and creative thinking as well as the integration and problem solving abilities of RN-BSN students have improved before and after the NPPP course although there is the tendency of decreasing four abilities from group 1 to 4, but did not approach in the significant level.Conclusions: It is the evidences of the innovative teaching of critical and creative thinking, the integration and problem solving abilities for RN-BSN students in the first five weeks of the NPPP course. Additionally, the principal investigator instructed the group 1 and 2 that performed better than group 3 and 4 by the other two instructors that might be interesting to further study the group 1 and 2 dynamics as beneficence of teaching those thinking and abilities by the principal investigator.

Immunoglobulins, Mucosal Immunity and Vaccination in Teleost Fish

Due to direct contact with aquatic environment, mucosal surfaces of teleost fish are continuously exposed to a vast number of pathogens and also inhabited by high densities of commensal microbiota. The B cells and immunoglobulins within the teleost mucosa-associated lymphoid tissues (MALTs) play key roles in local mucosal adaptive immune responses. So far, three Ig isotypes (i.e., IgM, IgD, and IgT/Z) have been identified from the genomic sequences of different teleost fish species. Moreover, teleost Igs have been reported to elicit mammalian-like mucosal immune response in six MALTs: gut-associated lymphoid tissue (GALT), skin-associated lymphoid tissue (SALT), gill-associated lymphoid tissue (GIALT), nasal-associated lymphoid tissue (NALT), and the recently discovered buccal and pharyngeal MALTs. Critically, analogous to mammalian IgA, teleost IgT represents the most ancient Ab class specialized in mucosal immunity and plays indispensable roles in the clearance of mucosal pathogens and the maintenance of microbiota homeostasis. Given these, this review summarizes the current findings on teleost Igs, MALTs, and their immune responses to pathogenic infection, vaccination and commensal microbiota, with the purpose of facilitating future evaluation and rational design of fish vaccines.

IL-21 Promotes Intestinal Memory IgA Responses.

The role of IL-21, produced mainly by Th17 cells and T follicular helper cells, has been intensively investigated in B cell differentiation and Ab class switch. However, how IL-21 regulates memory IgA+ B cell development and memory IgA responses in the intestines is still not completely understood. In this study, we found the total IgA+ B cells as well as CD38+CD138-IgA+ memory B cells were significantly increased in intestinal lamina propria (LP) of TCRβxδ-/- mice after transfer of microbiota Ag-specific Th17 cells but not Th1 cells. Although IL-21R-/- mice or IL-17R-/- mice showed decreased Ag-specific memory IgA production in the intestines upon infection with Citrobacter rodentium, the percentage of IgA+CD38+CD138- memory B cells in Peyer's patches and LP was decreased only in IL-21R-/- mice, but not in IL-17R-/- mice, after reinfection with C. rodentium compared with wild-type mice. Blockade IL-21 in vivo suppressed intestinal C. rodentium-specific IgA production as well as IgA+CD38+CD138- memory B cells in Peyer's patches and LP. Furthermore, IL-21 significantly induced B cell IgA production in vitro, with the increased expression of genes related with class-switching and memory B cell development, including Aicda, Ski, Bmi1, and Klf2. Consistently, Aicda and Ski expression was decreased in B cells of IL-21R-/- mice after C. rodentium reinfection. In conclusion, our study demonstrated that IL-21 promotes intestinal memory IgA B cell development, possibly through upregulating differentiation-related and class switching-related genes, indicating a potential role of IL-21 in memory IgA+ B cell responses in the intestines.

Identification of Structurally Related Antibodies in Antibody Sequence Databases Using Rosetta-Derived Position-Specific Scoring

The amount of antibody (Ab) variable gene sequence information is expanding rapidly, but our ability to predict the function of Abs from sequence alone is limited. Here, we describe a sequence-to-function prediction method that couples structural data for a single Ab/antigen (Ag) complex with repertoire data. We used a position-specific structure-scoring matrix (P3SM) incorporating structure-prediction scores from Rosetta to identify Ab variable loops that have predicted structural similarity to the influenza virus-specific human Ab CH65. The P3SM approach identified new members of this Ab class. Recombinant Ab expression, crystallography, and virus inhibition assays showed that the HCDR3 loops of the newly identified Abs possessed similar structure and antiviral activity as the comparator CH65. This approach enables discovery of new human Abs with desired structure and function using cDNA repertoires that are obtained readily with current amplicon sequencing techniques.

Epilepsi detection system based on EEG record using neural network backpropagation method

Epilepsy is a manifestation of brain disorders with a variety of etiologies, but with the typical single symptom, periodic and reversible attacks, Epilepsy is characterized by an excess amount of electricity coming out of the brain cells, which can cause seizures and abnormal movements. EEG signals on epilepsy attacks have a characteristic pattern that allows health professionals to distinguish them from normal conditions (nonseizure). There are many methods used by researchers to recognize patterns of EEG epilepsy and non epilepsy signals in this study using Discrete Cosinus Transform (DCT) to perform the extraction of EEG signal features and Backpropagation Neural Networks for identification of EEG signal patterns. This research data using five classes of data sets of digital EEG signal taken from clinic Epileptologie University of Bonn ie data set A normal open eye signal, set B normal eye closed signal, C set enter the epilepsy zone, set D enter epilepsy, set E epilepsy seizures. The five class data are processed using DCT to obtain feature extraction, so results from DCT are used to perform identification using the Backpropagation method. The results of this study indicate that with feature extracted using DCT and identification process using Artificial Neural Network Backpropagation got EEG signal identification obtained for data set A, B, C, D and E is 76%, for set AB and CDE class data 73 %.

Follicular B2 Cell Activation and Class Switch Recombination Depend on Autocrine C3ar1/C5ar1 Signaling in B2 Cells.

The involvement of complement in B2 cell responses has been regarded as occurring strictly via complement components in plasma. In this study, we show that Ab production and class switch recombination (CSR) depend on autocrine C3a and C5a receptor (C3ar1/C5ar1) signaling in B2 cells. CD40 upregulation, IL-6 production, growth in response to BAFF or APRIL, and AID/Bcl-6 expression, as well as follicular CD4+ cell CD21 production, all depended on this signal transduction. OVA immunization of C3ar1-/-C5ar1-/- mice elicited IgM Ab but no other isotypes, whereas decay accelerating factor (Daf1)-/- mice elicited more robust Ab production and CSR than wild-type (WT) mice. Comparable differences occurred in OVA-immunized μMT recipients of WT, C3ar1-/-C5ar1-/- , and Daf1-/- B2 cells and in hen egg lysozyme-immunized μMT recipients of MD4 B2 cells on each genetic background. B2 cells produced factor I and C3 and autophosphorylated CD19. Immunized C3-/-C5-/- recipients of WT MD4 bone marrow efficiently produced Ab. Thus, B2 cell-produced complement participates in B2 cell activation.