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• CAR-T therapy offers durable remissions in refractory hematological malignancies. • Meta-analyses show significant efficacy in various hematologic cancers. • CAR T-cell therapy improves quality of life for blood cancer patients. • Encouraging results in CD22-targeting CAR T-cell therapy for B-cell malignancies. • Long-term studies reveal durable remissions but also persistent adverse effects. Chimeric Antigen Receptor T-cell (CAR-T) therapy has emerged as a groundbreaking and highly promising approach for the management of cancer. This paper reviews the efficacy of CAR-T therapy in the treatment of various hematological malignancies, also, with a mention of its effect on solid tumors, for which they have not received FDA approval yet. Different common and uncommon side effects are also discussed in this paper, with attention to the effect of each drug separately. By reviewing the recommendations of the FDA for CAR-T therapy research, we have extensively discussed dose-limiting toxicities. This further highlights the need for precise dosing strategies, striking a balance between therapeutic benefits and potential risks. Additionally, we reviewed the long-term follow-up of patients receiving CAR-T therapy to gain valuable insights into response durability and late-onset effects. [ABSTRACT FROM AUTHOR]

• SCFAs participate in host immunomodulation through activation of GPCRs and inhibition of HDACs. • The involvement of SCFAs in the pathogenesis of psoriasis may be exerted through the regulation of intestinal barrier integrity and modulation of the immune system. • In innate immunity, SCFAs affect neutrophil recruitment, regulate macrophage polarization, and influence dendritic cell maturation; in adaptive immunity, they promote the differentiation of T cells to Tregs and B cells to Bregs, thus participating in immune and inflammatory responses. Psoriasis is a prevalent chronic inflammatory and immunological disorder. Its lesions are present as scaly erythema or plaques. Disruptions in the body's immune system play a significant role in developing psoriasis. Recent evidence suggests a potential role of the gut microbiome in autoimmune diseases. Short-chain fatty acids (SCFAs) are the primary metabolites created by gut microbes and play a crucial fuction in autoimmunity. SCFAs act on various cells by mediating signaling to participate in host physiological and pathological processes. These processes encompass body metabolism, maintenance of intestinal barrier function, and immune system modulation. SCFAs can regulate immune cells to enhance the body's immune function, potentially influencing the prevention and treatment of psoriasis. However, the mechanisms underlying the role of SCFAs in psoriasis remain incompletely understood. This paper examines the relationship between SCFAs and psoriasis, elucidating how SCFAs influence the immune system, inflammatory response, and gut barrier in psoriasis. According to the study, in psoriasis, SCFAs have been shown to regulate neutrophils, macrophages, and dendritic cells in the adaptive immune system, as well as T and B cells in the innate immune system. Additionally, we explore the role of SCFAs in psoriasis by maintaining intestinal barrier function, restoring intestinal ecological homeostasis, and investigating the potential therapeutic benefits of SCFAs for psoriasis. [ABSTRACT FROM AUTHOR]

The occurrence and development of tumors are closely associated with abnormalities in the immune system's structure and function, with tumor immunotherapy being intricately linked to the tumor microenvironment (TME). Early studies on lymphocytes within the TME primarily concentrated on T cells. However, as research has advanced, the multifaceted roles of tumor-infiltrating B cells (TIL-Bs) in tumor immunity, encompassing both anti-tumor and pro-tumor effects, have garnered increasing attention. This paper explored the composition of the TME and the biological characteristics of TIL-Bs, investigating the dual roles within the TME to offer new insights and strategies for tumor immunotherapy. [Display omitted] • Dual roles of tumor-infiltrating B cells in tumor microenvironment: anti-tumor and pro-tumor effects. • Tumor-infiltrating B cells boost anti-tumor immunity via antigen presentation, antibody production, cytokine secretion, etc. • Regulatory B cells aid tumor immune evasion by releasing suppressive cytokines, specific antibodies, and metabolites. • Insights into Tumor-infiltrating B cells may offer potential new targets for cancer immunotherapy. [ABSTRACT FROM AUTHOR]

• Continuous stimulation of autoreactive B cells by immune complexes is the first step towards the development of pSS. • Efficient regulation of hyperactivated B cells is crucial through the use of B cell receptor (BCR) targeting therapies to control clonal escape and the development of pSS. • pSS-specific B cells enhance the aggregation of BCRs at the B cell-APCs contact interface and trigger downstream signalling cascade events. Primary Sjögren's syndrome (pSS) is a systematic autoimmune manifestation of the exocrine glands caused by impaired lymphocytic infiltration, leading to dry eyes and xerostomia. The pathologic hallmark of this disease is the dysfunction of the exocrine glands, which results in dry eyes and mouth. Clinical observations suggest that B cells contribute to the pathogenesis of pSS through the enhanced secretion of autoantibodies, hypergammaglobulinemia, reduced free light chains, and a higher B cell lymphoma. Despite increased evidence of B cell hyperactivation and dysregulated B cell interactions in pSS, detailed speculations into the mechanism by which pSS-specific B cells exhibited abnormal BCR signaling repertoires and the magnitude of downstream signaling responses remain limited. Upon encountering antigens, B lymphocytes produce neutralizing antibodies by phosphorylating immune receptor tyrosine activation motifs (ITAMs). Despite these advancements, we still do not understand how pSS-specific B cells influence the surface clustering of BCRs and subsequent downstream immune responses. This paper hypothesizes that pSS-specific B cells encountering surrogate antigens will undergo a coordinated series of events that initiate B cell activation and spatiotemporal dynamics of BCRs. Additionally, we assume that pSS individuals have aberrant BCR repertoire and clonal expansion. In the future, these studies can provide detailed therapeutic entanglements for B cell-linked autoimmune and other hypersensitive disorders. [ABSTRACT FROM AUTHOR]

Leukaemia is diagnosed conventionally by observing the peripheral blood and bone marrow smear using a microscope and with the help of advanced laboratory tests. Image processing-based methods, which are simple, fast, and cheap, can be used to detect and classify leukemic cells by processing and analysing images of microscopic smear. The proposed study aims to classify Acute Lymphoblastic Leukaemia (ALL) by Deep Learning (DL) based techniques. The study used Deep Convolutional Neural Networks (DNN s) to classify ALL according to WHO classification scheme without using any image segmentation and feature extraction that involves intense computations. Images from an online image bank of American Society of Haematology (ASH) were used for the classification. A classification accuracy of 94.12% is achieved by the study in isolating the B-cell and T-cell ALL images using a pretrained CNN AlexNet as well as LeukNet , a custom-made deep learning network designed by the proposed work. The study also compared the classification performances using three different training algorithms. The paper detailed the use of DNNs to classify ALL, without using any image segmentation and feature extraction techniques. Classification of ALL into subtypes according to the WHO classification scheme using image processing techniques is not available in literature to the best of the knowledge of the authors. The present study considered the classification of ALL only, and detection of other types of leukemic images can be attempted in future research. • Deep Learning based classification of ALL. • Classification of ALL based on WHO scheme. • ALL is classified into B – cell lymphoblasts and T – cell lymphoblasts. • Use of Convolutional Neural Networks (CNN) for leukaemia classification. • Leukaemia classification without image segmentation and feature extraction. [ABSTRACT FROM AUTHOR]

B cells have an ever-increasing role in the etiopathology of a number of autoimmune neurological disorders, acting as antigen-presenting cells facilitating antibody production but also as sensors, coordinators, and regulators of the immune response. In particular, B cells can regulate the T cell activation process through their participation in antigen presentation, production of proinflammatory cytokines (bystander activation or suppression), and contribution to ectopic lymphoid aggregates. Such an important interplay between B and T cells makes therapeutic depletion of B cells an attractive treatment strategy. The last decade, anti-B cell therapies using monoclonal antibodies against B cell surface molecules have evolved into a rational approach for successfully treating autoimmune neurological disorders, even when T cells seem to be the main effector cells. The paper summarizes basic aspects of B cell biology, discusses the roles of B cells in neurological autoimmunities, and highlights how the currently available or under development anti-B cell therapeutics exert their action in the wide spectrum and immunologically diverse neurological disorders. The efficacy of the various anti-B cell therapies and practical issues on induction and maintenance therapy is specifically detailed for the treatment of patients with multiple sclerosis, neuromyelitis-spectrum disorders, autoimmune encephalitis and hyperexcitability CNS disorders, autoimmune neuropathies, myasthenia gravis, and inflammatory myopathies. The success of anti-B cell therapies in inducing long-term remission in IgG4 neuroautoimmunities is also highlighted pointing out potential biomarkers for follow-up infusions. [ABSTRACT FROM AUTHOR]

The Astragalus membranaceus polysaccharide (APS4) with direct cytotoxicity on various cancer cells has been prepared in our previous study, while the underlying therapeutic role of APS4 on solid tumors in vivo hasn't been investigated yet. Therefore, in this paper, the lymphocytes-mediated antitumor and immunoregulatory activities of APS4 were researched by establishing S180 tumor-bearing mice model. Flow cytometry analysis revealed that APS4 could effectively regulate the percentages of CD3+, CD4+, CD8+ T cells and CD19+ B cells in thymus, peripheral blood and spleen of S180 tumor-bearing mice, dose-dependently. H&E staining and cell cycle determination of solid tumors manifested that APS4 treatment could significantly inhibit the growth of solid tumors by inducing cells apoptosis. Furthermore, two-dimensional electrophoresis and western blot analysis further demonstrated that APS4 could activate antitumor-related immune cells and promote anaerobic metabolism of tumor microenvironment, thereby causing the apoptosis of S180 tumor cells. These data implicated that APS4 could be used as a potential dietary supplement for immune enhancement. [ABSTRACT FROM AUTHOR]

In a recent paper, Schriek et al. show that, in a complement-dependent reaction, marginal zone B cells (MZBs) steal MHC class II (MHCII) from dendritic cells (DCs). Activation of T cells by stolen MHCII complexes potentially allows MZBs to augment or regulate T cell activation in ways that are distinct from DCs. [ABSTRACT FROM AUTHOR]

The immune system employs complex tolerance mechanisms in order to avoid harmful autoimmunity, yet autoantibodies are frequently observed in cancer. In a paper in Cell , Mazor et al. report that autoantibodies produced by tumor-infiltrating B cells in human ovarian cancer frequently recognize the self-protein matrix metalloproteinase 14 (MMP14) through two distinct mechanisms of tolerance disruption. [ABSTRACT FROM AUTHOR]

• SHC014748M was proved to be more selective for PI3Kδ inhibition relative to other class i PI3K enzymes. • SHC014748M showed in vitro activity in most of 23 B lymphoma cell lines and primary CLL cells and also inhibited phosphorylation of AKT, targets downstream of PI3Kδ. • In vivo study revealed that SHC014748M significantly reduced lymphoma cell growth in the treatment group compared with control mice. • SHC014748M seemed to be a novel promising compound in the treatment of B cell lymphomas and CLL. PI3Kδ (phosphatidylinositol 3-kinase-δ), one of the class I PI3Ks, is found expressed primarily in leukocytes and plays an essential role in B-cell development and function. This provides a rationale for the development of small molecule inhibitors that selectively target p110δ for patients with indolent non-Hodgkin lymphomas. Here in this paper, we comprehensively evaluated the in vitro and in vivo antitumor activity of SHC014748M, an oral selective inhibitor of PI3Kδ under Phase I clinical evaluation. Biochemical and cell-based assays were used to measure compound potency and selectivity in lymphoma cell lines as well as primary chronic lymphocytic leukemia (CLL) cells. Scid mice were subcutaneously inoculated with the SU-DHL-6 cell line. SHC014748M was more selective for PI3Kδ inhibition relative to other class I PI3K enzymes and showed in vitro activity in most of 23 B lymphoma cell lines and primary CLL cells. SHC014748M also inhibited phosphorylation of AKT, targets downstream of PI3Kδ, in both lymphoma cells and primary CLL cells. In vivo study revealed that SHC014748M significantly reduced lymphoma cell growth in the treatment group compared with control mice. CCL4, CCL17, CCL22 and CXCL13 in patient serum decreased sharply after SHC014748M treatment. According to the results, SHC014748M appeared to be a novel promising compound in the treatment of B cell lymphomas and CLL. [ABSTRACT FROM AUTHOR]

• In this paper, a new erythrocyte agglutination methodology was established. • Objective, quantitative results can be obtained by automatic hematology analyzer. • It will greatly improve the sensitivity of antigen-antibody response detection. • New method can be used in the detection of some autoimmune diseases. The objective of this work was to explore the similarities and differences between the automatic hematology analyzer method and the traditional slide method in the detection of red blood cell (RBC) agglutination, and demonstrate that the automatic hematology analyzer is more intuitive and reliable for the detection of RBC agglutination. A further objective was to establish a new method to facilitate new ideas for clinical research. Type A serum was selected and diluted 1:2, 1:4, 1:8, 1:16, and 1:32, to react with the type B cells and the normal saline group was used as the control group. An RBC count was performed using an automatic hematology analyzer, after incubation in a warm bath for 30 min. The degree of agglutination on the glass slide was also recorded. A positive serum of antinuclear antibody (ANA) was collected and RBC agglutination between RBC-O and ANA positive serum was determined using the automatic hematology analyzer method. The relationship between the results from the automatic hematology analyzer and the agglutination strength using the glass slide method was determined. There was a significant difference between the serum of ANA positive patients and the normal control group (P < 0.05). A new method for detecting RBC agglutination using an automatic hematology analyzer has been established and is a valid tool for clinical research. [ABSTRACT FROM AUTHOR]

Thiopurine drugs are immunomodulatory antimetabolites relevant for pediatric patients characterized by dose-dependent adverse effects such as myelosuppression and hepatotoxicity, often related to inter-individual differences, involving the activity of important enzymes at the basis of their biotransformation, such as thiopurine S-methyltransferase (TPMT). Surface Enhanced Raman Scattering (SERS) spectroscopy is emerging as a bioanalytical tool and represents a valid alternative in terms of affordable costs, shorter analysis time and easier sample preparation in comparison to the most employed methods for pharmacokinetic analysis of drugs. The aim of this study is to investigate mercaptopurine and thioguanine pharmacokinetics by SERS in cell lysates of a B-lymphoblastoid cell line (NALM-6), that did (TPMT*1) or did not (MOCK) overexpress the wild-type form of TPMT as an in vitro cellular lymphocyte model to discriminate between cells with different levels of TPMT activity on the base of the amount of thioguanosine nucleotides (TGN) metabolites formed. SERS analysis of the cell lysates was carried out using SERS substrates constituted by Ag nanoparticles deposited on paper and parallel samples were used for quantification of thiopurine nucleotides with liquid chromatography-tandem mass spectrometry (LC-MS/MS). A direct SERS detection method has been set up that could be a tool to study thiopurine drug pharmacokinetics in in vitro cellular models to qualitatively discriminate between cells that do and do not overexpress the TPMT enzyme, as an alternative to other more laborious techniques. Results underlined decreased levels of TGN and increased levels of methylated metabolites when TPMT was overexpressed, both after mercaptopurine and thioguanine treatments. A strong positive correlation (Spearman's rank correlation coefficient rho = 0.96) exists between absolute quantification of TGMP (pmol/1 x 106 cells), obtained by LC-MS/MS, and SERS signal (intensity of TGN at 915 cm−1). In future studies, we aim to apply this method to investigate TPMT activity in pediatric patients' leukocytes. • A direct SERS method to qualitatively discriminate between cells that do and do not overexpress TPMT is discussed. • LC-MS/MS and SERS parallel analysis of cell lysate detect decreased levels of TGN when TPMT is overexpressed. • Quantification by LC-MS/MS of 12 thiopurine metabolites in human B-lymphoblastoid cell line is reported. [ABSTRACT FROM AUTHOR]

• LC-MS offers an alternative to invasive methods in the bone marrow to measure MRD in the blood of patients with MM. • This LC-HRMS responds to two objectives: overcoming the potential interference of biotherapeutics and assessing the MRD. • Highly sensitive and specific quantification of intact M-protein light chains in patient serum was achieved. To determine the disease status and the response to treatment for patients with multiple myeloma, measuring serum M-protein levels is a widely used alternative to invasive punctures to count malignant plasma cells in the bone marrow. However, the quantification of this monoclonal antibody, which varies from patient to patient, poses significant analytical challenges. This paper describes a sensitive and specific mass spectrometry assay that addresses two objectives: to overcome the potential interference of biotherapeutics in the measurement of M-proteins, and to determine the depth of response to treatment by assessing minimal residual disease. After immunocapture of immunoglobulins and free light chains in serum, heavy and light chains were dissociated by chemical reduction and separated by liquid chromatography. M-proteins were analyzed by high-resolution mass spectrometry using a method combining a full MS scan for isotyping and identification and a targeted single ion monitoring scan for quantification. This method was able to discriminate M-protein from the therapeutic antibody in all patient samples analyzed and allowed quantification of M-protein with a LLOQ of 2.0 to 3.5 µg/ml in 5 out of 6 patients. This methodology appears to be promising for assessing minimal residual disease with sufficient sensitivity, specificity, and throughput. [ABSTRACT FROM AUTHOR]

Due to the rapid development of DNA microarray technology, a large number of microarray data come into being and classifying these data has been verified useful for cancer diagnosis, treatment and prevention. However, microarray data classification is still a challenging task since there are often a huge number of genes but a small number of samples in gene expression data. As a result, a computational method for reducing the dimension of microarray data is necessary. In this paper, we introduce a computational gene selection model for microarray data classification via adaptive hypergraph embedded dictionary learning (AHEDL). Specifically, a dictionary is learned from the feature space of original high dimensional microarray data, and this learned dictionary is used to represent original genes with a reconstruction coefficient matrix. Then we use a l 2, 1 -norm regularization to impose the row sparsity on the coefficient matrix for selecting discriminate genes. Meanwhile, in order to capture the localmanifold geometrical structure of original microarray data in a high-order manner, a hypergraph is adaptively learned and embedded into the model. An iterative updating algorithm is designed for solving the optimization problem. In order to validate the efficacy of the proposed model, we have conducted experiments on six publicly available microarray data sets and the results demonstrate that AHEDL outperforms other state-of-the-art methods in terms of microarray data classification. Unlabelled Table AHEDL Adaptive Hypergraph Embedded Dictionary Learning ADMM Alternating Direction method of Multipliers SVM Support Vector Machine RF Random Forest k-NN k-Nearest Neighbor CV cross validation MSVM-RF Multiclass Support Vector Machine-Recursive Feature Elimination KernelPLS Kernel Partial Least Squares WLMGS Weight Local Modularity based Gene Selection GRSL-GS Gene Selection via Subspace Learning and Manifold Regularization LNNFW Local-Nearest-Neighbors-based Feature Weighting for Gene Selection RLR Regularized Logistic Regression ACC accuracy SD standard deviations ANOVA Analysis of Variance DF Degrees of Freedom SS Sum-of-Square MS Mean Sum-of-Square F F-value Sig statistical significance SRBCT Small Round Blue Cell Tumors GCM Global Cancer Map CLL_SUB_111 B-cell chronic lymphocytic leukemia • We introduce a new gene selection model for microarray data classification. • A dictionary is learned to reconstruct original genes. • A hypergraph is adaptively learned and embedded into the model. • The hypergraph is used to capture the high-order locality of microarray data. • Experiments on six data sets validate the efficacy of the proposed model. [ABSTRACT FROM AUTHOR]

To assess the efficacy and safety of Rituximab (RTX) in adult primary central nervous system vasculitis (PCNSV). We retrospectively assessed the effect of RTX in 6 patients with PCNSV. Five of the 6 were refractory to high dose glucocorticoids (GCs) and/or conventional immunosuppressants (IS). The sixth was newly diagnosed and received RTX in combination with GCs. Clinical evaluation, laboratory tests, and imaging modalities were performed at initial RTX administration and during the follow-up. Treatment response was assessed using the treating physician's global opinion regarding response and the degree of disability using the modified Rankin scale (mRS). We also performed a literature review for previous use of RTX in PCNSV using PubMed, Ovid Medline, and the Cochrane library. The six patients (3 females) had a median age at diagnosis of 50.5 years (range 17–68 years). All had active disease when RTX was started. In 4 patients, RTX administration was associated with a marked reduction in the number of flares (from 18 before starting RTX to 3 after). One patient, after an initial improvement, had 2 flares when B cells were depleted and he was not able to reduce prednisone below 20 mg/day. A 6th patient had a flare when B cells recovered and retreatment with RTX re-induced and maintained remission. The median mRS score at last visit (median: 2; range 0–4) was lower than that prior to treatment (median 3; range 1–5). The median prednisone daily dose before RTX administration was significantly higher than that at last follow-up (p =.006). In the literature review, we identified 5 papers describing 7 patients treated with RTX. Six patients responded to RTX with clinical and MRI improvement with no reported flares after RTX treatment. Our data support a potential role for RTX treatment in selected patients with PCNSV. • In PCNSV there is the need to identify effective therapeutic agents • B-cell depletion in PCNSV maintains disease remission and reduces the number of flares and GC dosage • Rituximab is effective and safe in PCNSV refractory to traditional immunosuppressive agents • Rituximab could have a role as a first line therapy for PCNSV patients with less favorable prognosis [ABSTRACT FROM AUTHOR]

Abstract As antigen-presenting cells (APC), B cells exert a variety of immune regulatory functions mainly by presenting antigens, triggering immune response, and producing antibodies for immune regulation. Regulatory B cells (Bregs) are special subpopulations of B cells with immune-regulating or immune-suppressing properties and play a role in peripheral tolerance. Bregs suppress immune response through inhibiting the differentiation of dendritic cells (DCs), suppressing the proliferation of helper T1(TH1) cells and helper T17 (TH17) cells, inducing the differentiation of fork head transcription factor p3 positive regulatory T cells (FoxP3+ Tregs). Different subsets of Bregs have distinct phenotypes and markers. Different subsets of Bregs participate in immune modulation by different ways. The absence or loss of Bregs exacerbates the severity of many disease such as rheumatoid arthritis (RA), systemic lupus erythematosus (SLE) and graft-versus-host-disease (GVHD). Bregs are also involved in tumor immunosuppressive effect and inhibit the antitumor immune process. In this article, we review the research advances of Bregs in autoimmune diseases, GVHD and tumor. Highlights • Previous studies have shown that regulatory B cells play important roles in inflammatory diseases and tumor. • There is no systematic review of the role of regulatory B cells in inflammatory diseases and tumor. • In this paper, the role of regulatory B cells in inflammatory diseases and tumors is systematically reviewed. • This article provides researchers with the latest systematic research of regulatory B cells. [ABSTRACT FROM AUTHOR]

Polymyalgia rheumatica (PMR) is an inflammatory rheumatic disease that is common in elderly people. Its classification in the spectrum of autoinflammatory and autoimmune diseases is difficult because of its only partially understood immune-mediated mechanisms. The literature concerning the innate and adaptive immune system activation in PMR was systematically reviewed highlighting the relative weight of autoinflammation and autoimmunity in its pathogenesis and disease progression. A literature search on PubMed Central and Embase scientific databases was performed by two independent reviewers. To be eligible, the studies needed to fully satisfy our initial PICO framework: a primary diagnosis of PMR as a population, the search for immune/inflammatory cells, cytokines and autoantibodies as an intervention, a control group consisting in healthy controls, patients with other inflammatory rheumatic diseases or PMR patients in remission after treatment and as outcomes the results of the investigations in the analyzed tissue samples. The most relevant data of the included papers were extracted by using a standardized template. Of the 933 screened abstracts, 52 papers were included in the systematic review and categorized depending on their primary research objectives. The hyper-activity of neutrophils and monocytes, expressing toll-like receptor 7 in active disease, an impaired phagocytosis and endothelial dysfunction, as well as an increased count of innate T cells in patients with remission emerged among the major derangements of the innate immune response in PMR. Among the cytokines profile, interleukin-6 plays a key role but other pro-inflammatory mediators and angiogenesis markers such as chemokines, B-cell activating factor, vascular endothelial growth factor and angiopoietins seem to be involved in refractory or glucocorticoid-resistant PMR. The aberrant adaptive immune response was documented by tissue and serum findings of polarized T cells towards T helper 1 and 17 phenotypes, an increased expression of immunosenescent surface markers and a downregulated immunoregulatory response. The altered distribution of peripheral B cells, detected during active disease, suggested their peripheral migration towards unidentified sites. The interaction between innate and adaptive immune response was documented by a synovial infiltrate of macrophages and T cells. Despite multiple autoantibodies have been detected in PMR patients, none proved to correlate with disease activity seeming to be reactive to the marked inflammation or antigenic determinants provided by environmental triggers or tissue/cell damage. The complex network between innate and adaptive immune system in PMR is supported by findings at molecular and cellular levels. By considering both the ends of the pathophysiological spectrum of immune-mediated rheumatic diseases, PMR may be regarded as an inflammatory immune-mediated disease with mixed mechanisms in a background of genetic and epigenetic factors together with immunological and endocrine senescence. • High concentrations of serum pro-inflammatory cytokines and cell growth factors identify active PMR patients • Innate immune cells might play a role both in PMR disease activity and sub-clinical ongoing inflammation. • T cells are dysregulated in PMR for a hyper-expression of immunosenescent markers and deficient immunoregulatory pathways. • B cells peripheral distribution is altered during active disease suggesting an inflammatory-driven compartmentalization. • Autoantibodies do not seem pathogenetic in PMR but may be reactive to external triggers or damaged tissues self-antigens. [ABSTRACT FROM AUTHOR]

Diagnosing acute leukemia is the necessary prerequisite to treating it. Multi-classification on the gene expression data of acute leukemia is help for diagnosing it which contains B-cell acute lymphoblastic leukemia (BALL), T-cell acute lymphoblastic leukemia (TALL) and acute myeloid leukemia (AML). However, selecting cancer-causing genes is a challenging problem in performing multi-classification. In this paper, weighted gene co-expression networks are employed to divide the genes into groups. Based on the dividing groups, a new regularized multinomial regression with overlapping group lasso penalty (MROGL) has been presented to simultaneously perform multi-classification and select gene groups. By implementing this method on three-class acute leukemia data, the grouped genes which work synergistically are identified, and the overlapped genes shared by different groups are also highlighted. Moreover, MROGL outperforms other five methods on multi-classification accuracy. [ABSTRACT FROM AUTHOR]

T and B lymphocytes are closely related to immunization and pathogen infection. Our previous study confirmed the CD3 + , CD4-1 + , CD4-2 + , CD8β + T lymphocytes and IgM + B lymphocytes presented in the peripheral blood leukocytes (PBLs) of flounder ( Paralichthys olivaceus ), in this paper, the variations of T and B lymphocytes of flounder after Hirame novirhabdovirus (HIRRV) infection or immunization were investigated. The flounders were injected with live or inactivated HIRRV, then the percentages of T and B lymphocytes in PBLs were analyzed by Flow cytometry (FCM), total antibodies and HIRRV-specific antibodies in serum were detected by Enzyme-linked immunosorbent assay (ELISA), and expression of twelve immune-related genes in the head kidneys were determined using q-PCR. The results showed that the percentages of CD3 + , CD4-1 + , CD4-2 + , CD8β + T lymphocytes and IgM + B lymphocytes significantly increased in both infection and immunization groups, in infection group they decreased rapidly after the peak and significantly lower than control levels at the end of infection, in immunization group they went down steadily to the control levels at the end of immunization. The total antibodies and HIRRV-specific antibodies increased first and peaked on the 7 th day post infection and on the 14 th day post immunization, respectively, then gradually decreased to the control levels. Additionally, twelve immune-related genes were up-regulated in both groups. These results demonstrated that the HIRRV induced both humoral and cellular immunity of flounder, the lymphocytes varied more sharply in infection group than those in immunization group and CD8 + T lymphocytes responded much more than CD4 + T lymphocytes to HIRRV antigen. [ABSTRACT FROM AUTHOR]

This paper explores the socioeconomic determinants of CO2 emissions in China from a historical and prospective perspective. Through the study, we developed a comprehensive analysis framework, using time series data on China’s economic structure, energy consumption structure, income, urbanization, FDI, and total trade for the period 1980–2014 in order to perform our analysis. Firstly, the results of ADF test indicated that the surveyed variables were stationary and integrated of I(1), a finding that was further confirmed by the results of a KPSS test. Subsequent Johansen cointegration results found that there existed no less than one cointegrating relationship between the surveyed variables, and the results of a VECM model suggested that all of the selected socioeconomic factors exerted important influences in determining the value of the dependent variable, CO 2 emissions. The Granger causality tests demonstrated the existence of a bidirectional causal link between CO 2 emissions and the economic structure, and between CO 2 emissions and the energy consumption structure. A unidirectional causal link was also located that runs from CO 2 emissions to GDP, urbanization to CO 2 emissions, and CO 2 emissions to trade. No causal link was found to exist between CO 2 emissions and FDI. In addition, impulse response functions and variance decomposition analysis revealed that the energy consumption and economic structures can be expected to continue to exert strong and significant forecasted impacts on CO 2 emissions in the future, while the impact of FDI and total trade is expected to be of increasingly limited magnitude. The impact of GDP is also likely to be evident in the future. These results hold important implications for governmental policy decisions pertaining to the reduction of China’s CO 2 emissions. [ABSTRACT FROM AUTHOR]

In this paper, we compute Gram determinants associated to all cell modules of quantized walled Brauer algebras B r , t (ρ , q) over an arbitrary field κ. Suppose e is the quantum characteristic of q 2. We classify the blocks of B r , t (ρ , q) when e > max ⁡ { r , t } and ρ 2 = q 2 n , n ∈ Z. As an application, we give a criterion for a cell module of B r , t (ρ , q) being equal to its simple head over κ. [ABSTRACT FROM AUTHOR]

This study reviewed the prognostic effect of tumor-infiltrating B lymphocytes (TIBLs) on solid malignancies, to determine the potential role of TIBLs in predicting cancer patient's prognosis and their response to immunotherapy. A total of 45 original papers involving 11,099 individual patients were included in this meta-analysis covering 7 kinds of cancer. The pooled results suggested that high levels of TIBLs were correlated with favorable OS in lung, esophageal, gastric, colorectal, liver, and breast cancer; improved RFS in lung cancer; and improved DFS in gastrointestinal neoplasms. Additionally, TIBLs were significantly correlated with negative lymphatic invasion in gastric cancer, small tumor size in hepatocellular carcinoma, and negative distant metastasis in colorectal cancer. Additionally, TIBLs were reported as a discriminative feature of patients treated with immunotherapy with improved survival. We concluded that TIBLs play a favorable prognostic role among the common solid malignancie, providing theoretical evidence for further prognosis prediction for solid tumors. • Analyze and review the prognostic value of B cells in solid tumors from different systems. • Assess the relationship between tumor-infiltrating B cells and other clinicopathological parameters. • Evaluate the potential role of B cells in cancer immunotherapy. [ABSTRACT FROM AUTHOR]

The immune repertoire (IR) refers to the sum of B cells and T cells with functional diversity in the circulatory system of one individual at any given time. Immune cells, which reside within microenvironments and are responsible for protecting the human body, include T cells, B cells, macrophages, and dendritic cells. These dedicated immune cells have a characteristic structure and function. T and B cells are the main lymphocytes and are responsible for cellular immunity and humoral immunity, respectively. The T cell receptor (TCR) and B cell receptor (BCR) are composed of multiple peptide chains with antigen specificity. The amino acid composition and sequence order are more diverse in the complementarity-determining regions (including CDR1, CDR2 and CDR3) of each peptide chain, allowing a vast library of TCRs and BCRs. IR research is becoming increasingly focused on the study of CDR3 diversity. Deep profiling of CDR3s using high-throughput sequencing is a powerful approach for elucidating the composition and distribution of the CDR3s in a given sample, with in-depth information at the sequence level. Hepatocellular carcinoma (HCC) is one of the most common malignancies in the world. To identify novel biomarkers for diagnosis and drug targets for therapeutic interventions, several groups attempted to describe immune repertoire characteristics of the liver in the physiological environment or/and pathological conditions. This paper reviews the recent progress in IR research on human diseases, including hepatocellular carcinoma, attempting to depict the relationships between hepatocellular carcinogenesis and the IR, and discusses the possibility of IR as a potential biomarker and therapeutic for hepatocellular carcinoma. [ABSTRACT FROM AUTHOR]

Emerging evidence reveals the controversial role of B cells in antitumor immunity, but the underlying mechanisms have to be explored. Three latest articles published in the issue 521 of Nature in 2015 reconfirmed the puzzling topic and put forward some explanations of how B cells regulate antitumor T-cell responses both positively and negatively. This paper attempts to demonstrate that different B-cell subpopulations have distinct immunological properties and that they are involved in either antitumor responses or immunosuppression. Recent studies supporting the positive and negative roles of B cells in tumor development were summarized comprehensively. Several specific B-cell subpopulations, such as IgG(+), IgA(+), IL-10(+), and regulatory B cells, were described in detail. The mechanisms underlying the controversial B-cell effects were mainly attributed to different B-cell subpopulations, different B-cell-derived cytokines, direct B cell-T cell interaction, different cancer categories, and different malignant stages, and the immunological interaction between B cells and T cells is mediated by dendritic cells. Promising B-cell-based antitumor strategies were proposed and novel B-cell regulators were summarized to present interesting therapeutic targets. Future investigations are needed to make sure that B-cell-based pharmacological strategies benefit cancer immunotherapy substantially. [ABSTRACT FROM AUTHOR]

Identifying of B-cell epitopes from antigen is a challenging task in bioinformatics and applied in vaccine design and drug development. Recently, several methods have been presented to predict epitopes. The physicochemical or structural properties are used by these methods. In this paper, we propose a more appropriate epitope prediction method, LRC, that is based on a combination of physicochemical and structural properties. First, we construct a graph from the surface of antigen, then by using the logistic regression, we model the physicochemical and structural properties and weight each vertex of the graph. Finally, we utilize a clustering method, MCL, to cluster the graph. The effectiveness of the proposed method is benchmarked using several antibody–antigen PDB complexes. The results of LRC algorithm are compared with other methods (DiscoTope, SEPPA and Ellipro) in terms of sensitivity, specificity and other well-known measures. Results indicate that applying the LRC algorithm improves the precision of prediction epitopes in comparison with the mentioned methods. Our LRC program and supplementary material are freely available from http://bs.ipm.ir/softwares/LRC/ . [ABSTRACT FROM AUTHOR]

In this paper, a novel continual learning classification method (SCLM) in small sample cases is proposed, which inspired by the immune system's continuous improvement of immunity through injecting vaccines. Data-driven classification method requires a large number of historical data to establish a pattern recognition model with good generalization performance. However, in practice, the data that can be used for training is usually small and unbalanced, which lead to poor classification accuracy. In addition, batch learning method cannot improve continually classification performance by learning test phase data. In view of the above problems, SCLM generates sample as vaccine by finding the group center of training samples, so that B cells mature and activate memory cells in the train phase. In the test phase, the recognition ability of SCLM is further improved by learning new samples and updating memory cells. In order to evaluate its performance under the condition of less training samples and its possible advantages, the experiments on well-known datasets in UCI repository and reciprocating compressor faults diagnose were performed. The results show that SCLM has better classification performance than other methods when the number of training samples is insufficient. At the same time, the method of generating data has significantly improved the classification performance of other methods. [ABSTRACT FROM AUTHOR]

B cells are one of the fundamental components of the adaptive immune system and are best known for their ability to produce antibodies. Among the various types of inborn errors of immunity, antibody deficiencies represent the largest group in terms of the number of affected individuals. Not all antibody deficiencies are due to B cell intrinsic defects but investigating B cell number and function are a critical part of the diagnostic process. B cells studies in clinical practice almost always rely on flow cytometry as the main tool of investigation. The advantage of flow cytometry is that it allows absolute and relative counting of B cells, and their phenotypic and functional evaluation at a single-cell level, while allowing the analysis of a large number of cells. Although versatile and broad in its utility, clinical flow cytometry has both theoretical and practical limitations. These include lack of consensus about definitions and classifications, and the use of non-standardized methods. Patients in all age groups, from newborns to the elderly, may require testing, yet B cells show significant changes in both numbers and subset distribution over the lifespan, requiring distinct reference ranges for narrowly defined age brackets for accurate interpretation. Sampling for testing is usually restricted to peripheral blood samples, and the number of markers routinely used are limited. This paper will provide a brief overview of flow cytometry and B cell biology, describe the human peripheral B cell subsets most commonly identified in clinical flow cytometry and discuss their clinical relevance in different settings. [ABSTRACT FROM AUTHOR]

We propose new structures called almost o-minimal structures and X -structures. The former is a first-order expansion of a dense linear order without endpoints such that the intersection of a definable set with a bounded open interval is a finite union of points and open intervals. The latter is a variant of van den Dries and Miller's analytic geometric categories and Shiota's X -sets and Y -sets. In them, the family of definable sets are closed only under proper projections unlike first-order structures. We demonstrate that an X -expansion of an ordered divisible abelian group always contains an o-minimal expansion of an ordered group such that all bounded X -definable sets are definable in the structure. Another contribution of this paper is a uniform local definable cell decomposition theorem for almost o-minimal expansions of ordered groups M = (M , < , 0 , + , ...). Let { A λ } λ ∈ Λ be a finite family of definable subsets of M m + n , where m and n are positive integers. Take an arbitrary positive element R ∈ M and set B = ] − R , R [ n. Then, there exists a finite partition into definable sets M m × B = X 1 ∪ ... ∪ X k such that B = (X 1) b ∪ ... ∪ (X k) b is a definable cell decomposition of B for any b ∈ M m and either X i ∩ A λ = ∅ or X i ⊆ A λ for any 1 ≤ i ≤ k and λ ∈ Λ. Here, the notation S b denotes the fiber of a definable subset S of M m + n at b ∈ M m. We introduce the notion of multi-cells and demonstrate that any definable set is a finite union of multi-cells in the course of the proof of the above theorem. [ABSTRACT FROM AUTHOR]

Restoration of the antigen (Ag)-specific immune tolerance in an allergic environment is refractory. B cells are involved in immune regulation. Whether B cells facilitate the generation of Ag-specific immune tolerance in an allergic environment requires further investigation. This paper aims to elucidate the mechanism by which B cells restore the Ag-specific immune tolerance in an allergic environment. In this study, a B cell-deficient mouse model was created by injecting an anti-CD20 antibody. The frequency of tolerogenic dendritic cell (TolDC) was assessed by flow cytometry. The levels of cytokines were determined by enzyme-linked immunosorbent assay. The expression of thrombospondin-1 (TSP1) was assessed by quantitative real-time RT-PCR, Western blotting, and methylationspecific PCR. The results showed that B cells were required in the generation of the TGF-β-producing TolDCs in mice. B cell-derived TSP1 converted the latent TGF-β to the active TGF-β in DCs, which generated TGF-β-producing TolDCs. Exposure to IL-13 inhibited the expression of TSP1 in B cells by enhancing the TSP1 gene DNA methylation. Treating food allergy mice with Ag-specific immunotherapy and IL-13 antagonists restored the generation of TolDCs and enhanced the effect of specific immunotherapy. In conclusion, B cells play a critical role in the restoration of specific immune tolerance in an allergic environment. Blocking IL-13 in an allergic environment facilitated the generation of TolDCs and enhanced the therapeutic effect of immunotherapy. [ABSTRACT FROM AUTHOR]

Cytomegalovirus (CMV)-seropositivity has been shown to have a negative effect on influenza vaccine-specific antibody responses. In this paper, we confirm and extend these results showing for the first time, a negative association between CMV-seropositivity and B cell predictive biomarkers of optimal vaccine responses. These biomarkers are switched memory B cells and AID in CpG-stimulated B cell cultures measured before vaccination which positively correlate with the serum response to the influenza vaccine. We also found that CMV-seropositivity is associated with increased levels of B cell-intrinsic inflammation and these both correlate with lower B cell function. Finally, CMV-seropositivity is associated with decreased percentages of individuals responding to the vaccine in both young and elderly individuals. [ABSTRACT FROM AUTHOR]

Ingestion of food is considered a major route of exposure to many contaminants including mycotoxins. The amount of mycotoxin resisting to the digestion process and potentially absorbable by the systemic circulation is only a smaller part of that ingested. In vitro digestion models turn useful for evaluating mycotoxins bioaccessibility during the intestinal transit and can be intended as a valuable tool for the assessment of mycotoxin bioavailability in food. In this paper we describe a study aimed at investigating toxicity of in vitro gastro-duodenal digests of mycotoxin contaminated bread collected along the digestion time-course. Toxicity tests were carried out on a sensitive RPMI lymphoid B cell line chosen as the most suitable lineage to assess toxicity retained by gastro-duodenal digests. In parallel, a chemical quantification of T-2 and HT-2 toxins contaminating the bread digests was accomplished during the gastric and duodenal transit. The digestive fluids undergoing chemical and toxicological analysis were collected at the beginning and end of gastric phase, and after completion of the duodenal phase. Results proved that a correlation between HT-2 content and toxicity did exist although a more persistent toxic activity was displayed in the later stage of the duodenal phase. This persistent toxicity might be explained by the co-occurrence of unknown HT-2-related conjugates or metabolites formed during digestion. [ABSTRACT FROM AUTHOR]

In the current artificial immune algorithms, the process of activation calculation considers the affinity only, but fails to take into account the relationship between sample features. In response to this deficiency, this paper proposes a new Relation B-cell and Relation B-cell Network Model (RBNM), which is basing on the immune mechanism of clone, mutation and network inhibition. In the method, this relation B-cells were calculated by the relationship between sample features. As a result, in the training and diagnosis process, combining with the relation B-cells, the algorithm can effectively improve the ability of cell association monitoring and finally generate efficient detectors. According to the following performance tests, RBNM classification result is not sensitive to its five parameters and results of the method are competitive among comparison methods. Finally, the algorithm was also applied to the reciprocating compressor faults dataset, and the result reached 99.7%. [Display omitted] • The proposed method can extract the correlation between features. • RBNM has stable performance and strong robustness within the given parameter range. • The method has good performance in the reciprocating compressor dataset. [ABSTRACT FROM AUTHOR]

This research paper describes generation and characterization of BI 655064, a novel, purely antagonistic anti-CD40 antibody that potently neutralizes CD40-CD40L-dependent B-cell stimulation without evidence of impacting platelet functions. This uniquely optimized antibody targeting a highly challenging pathway was obtained by applying stringent functional and biophysical criteria during the lead selection process. BI 655064 has favorable target-mediated drug disposition (TMDD)-saturation pharmacokinetics, consistent with that of a high-quality therapeutic monoclonal antibody. Phase 1 clinical studies of this antibody in healthy volunteers and patients with rheumatoid arthritis (RA) were successfully concluded, and it is currently being evaluated in Ph II clinical trials for another inflammatory diseases, lupus nephritis (LN). [Display omitted] Antibodies targeting the CD40-CD40L pathway have great potential for treating autoimmune diseases like rheumatoid arthritis, systemic lupus erythematosus (SLE), lupus nephritis (LN), and inflammatory bowel diseases (IBD). However, in addition to the known difficulty in generating a purely antagonistic CD40 antibody, the presence of CD40 and CD40L on platelets creates additional unique challenges for the safety, target coverage, and clearance of antibodies targeting this pathway. Previously described therapeutic antibodies targeting this pathway have various shortcomings, and the full therapeutic potential of this axis has yet to be realized. Herein, we describe the generation and characterization of BI 655064, a novel, purely antagonistic anti-CD40 antibody that potently neutralizes CD40-CD40L-dependent B-cell stimulation without evidence of impacting platelet functions. This uniquely optimized antibody targeting a highly challenging pathway was obtained by applying stringent functional and biophysical criteria during the lead selection process. BI 655064 has favorable target-mediated drug disposition (TMDD)-saturation pharmacokinetics, consistent with that of a high-quality therapeutic monoclonal antibody. [ABSTRACT FROM AUTHOR]

• Two factors of Bregs are related to AITD development. • Peripheral blood Bregs decreased with dysfunction. • Bregs compensatory increases due to the dysfunction. • It can be suggested that may have an automatic feedback regulation mechanism. • Bregs promoteTh2 cell differentiation and its function decreased by IL-4. • Bregs can inhibit the Th1. It is possible that the high Th1 response of HT and TAO patients may increase the frequency of Bregs. Regulatory B cells (Bregs) are a subset of B cells that can downregulate the immune and inflammatory responses. The development of B cells in humans and mice is differs. The Positioning and targeted regulation of Bregs has a positive effect on autoimmune diseases. Autoimmune thyroid disease (AITD) is a common autoimmune disease. This review introduces the history and origins of Bregs. It summarizes the different phenotypes and functionalities of Breg cells related to AITD and analyzes the reasons for the differences in Breg expression frequencies in Graves disease (GD) and Hashimoto's Thyroiditis (HT). A number of functional defects of regulatory B cells may be the newly discovered cause of AITD. This paper sheds new light on the role and prospects of Bregs in the progression and treatment of AITD. [ABSTRACT FROM AUTHOR]

Cystic echinococcosis (CE) is a neglected zoonosis especially in underdeveloped countries around the world. Hence, immunization strategies are beneficial to avert the infection. The present investigation was aimed to predict the primary biochemical characteristics of the EgMyophilin and its potential B-cell and human leukocyte antigen (HLA)-binding epitopes as a promising vaccine candidate. Different web servers were used to predict physico-chemical, antigenic and allergenic profiles, transmembrane domain, subcellular localization, post-translational modification (PTM) sites, secondary and 3D structure, tertiary model refinement and validations. B-cell and HLA-binding epitopes were predicted and screened in terms antigenicity, allergenicity, solubility (B-cell) or hydrophobicity (T-cell). The 89.82 KDa protein was non-allergenic, hydrophilic, stable, with improved thermotolerance and 94 post-translational modification sites. The secondary structure included 42.94% alpha helix, 42.82% random coil and 41.23% extended strand. Based on Ramachandran plot output for refined model, 96.2%, 99.5%, and 0.45% of amino acid residues were incorporated in the favored, allowed, and outlier regions of the refined model, respectively. After epitope screening, four B-cell and five HLA-binding epitopes possessed the highest antigenic index in the protein sequence. This paper is a premise for further researches, and provides insights for the development of a suitable vaccine against CE. More empirical studies are required using the EgMyophilin alone or in combination with other antigens/epitopes in the future. • Cystic echinococcosis is a zoonotic disease, among dogs, livestock and humans. • This is the first in silico analysis of Echinococcus granulosus Myophilin • The protein bioinformatics analysis was predicted using several web-based tools. • Our finding premises a basis for future vaccination against Echinococcus granulosus. [ABSTRACT FROM AUTHOR]