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Dive into the research topics where Chungwen Wei is active.

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Featured researches published by Chungwen Wei.


Journal of Immunology | 2007

A New Population of Cells Lacking Expression of CD27 Represents a Notable Component of the B Cell Memory Compartment in Systemic Lupus Erythematosus

Chungwen Wei; Jennifer H. Anolik; Amedeo J. Cappione; Bo Zheng; Aimee E. Pugh-Bernard; James C. Brooks; Eun-Hyung Lee; Eric C. B. Milner; Iñaki Sanz

Human memory B cells comprise isotype-switched and nonswitched cells with both subsets displaying somatic hypermutation. In addition to somatic hypermutation, CD27 expression has also been considered a universal memory B cell marker. We describe a new population of memory B cells containing isotype-switched (IgG and IgA) and IgM-only cells and lacking expression of CD27 and IgD. These cells are present in peripheral blood and tonsils of healthy subjects and display a degree of hypermutation comparable to CD27+ nonswitched memory cells. As conventional memory cells, they proliferate in response to CpG DNA and fail to extrude rhodamine. In contrast to other recently described CD27-negative (CD27neg) memory B cells, they lack expression of FcRH4 and recirculate in the peripheral blood. Although CD27neg memory cells are relatively scarce in healthy subjects, they are substantially increased in systemic lupus erythematosus (SLE) patients in whom they frequently represent a large fraction of all memory B cells. Yet, their frequency is normal in patients with rheumatoid arthritis or chronic hepatitis C. In SLE, an increased frequency of CD27neg memory cells is significantly associated with higher disease activity index, a history of nephritis, and disease-specific autoantibodies (anti-dsDNA, anti-Smith (Sm), anti-ribonucleoprotein (RNP), and 9G4). These findings enhance our understanding of the B cell diversification pathways and provide mechanistic insight into the immunopathogenesis of SLE.


Journal of Immunology | 2009

Novel Human Transitional B Cell Populations Revealed by B Cell Depletion Therapy

Arumugam Palanichamy; Jennifer Barnard; Bo Zheng; Teresa Owen; Tam Thanh Quach; Chungwen Wei; R. John Looney; Iiiaki Sanz; Jennifer H. Anolik

Transitional cells represent a crucial step in the differentiation and selection of the mature B cell compartment. Human transitional B cells have previously been variably identified based on the high level of expression of CD10, CD24, and CD38 relative to mature B cell populations and are expanded in the peripheral blood following rituximab-induced B cell-depletion at reconstitution. In this study, we take advantage of the gradual acquisition of the ABCB1 transporter during B cell maturation to delineate refined subsets of transitional B cells, including a late transitional B cell subset with a phenotype intermediate between T2 and mature naive. This late transitional subset appears temporally following the T1 and T2 populations in the peripheral compartment after rituximab-induced B cell reconstitution (and is thus termed T3) and is more abundant in normal peripheral blood than T1 and T2 cells. The identity of this subset as a developmental intermediate between early transitional and mature naive B cells was further supported by its ability to differentiate to naive during in vitro culture. Later transitional B cells, including T2 and T3, are found at comparatively increased frequencies in cord blood and spleen but were relatively rare in bone marrow. Additional studies demonstrate that transitional B cells mature across a developmental continuum with gradual up-regulation of mature markers, concomitant loss of immature markers, and increased responsiveness to BCR cross-linking in terms of proliferation, calcium flux, and survival. The characterization of multiple transitional B cell subpopulations provides important insights into human B cell development.


Nature Immunology | 2015

Diversity, cellular origin and autoreactivity of antibody-secreting cell population expansions in acute systemic lupus erythematosus

Christopher Tipton; Christopher Fucile; Jaime Darce; Asiya Seema Chida; Travis Ichikawa; Ivan V. Gregoretti; Sandra Schieferl; Jennifer R. Hom; Scott A. Jenks; Ron J Feldman; Ramit Mehr; Chungwen Wei; F. Eun-Hyung Lee; Wan Cheung Cheung; Alexander F. Rosenberg; Iñaki Sanz

Acute systemic lupus erythematosus (SLE) courses with surges of antibody-secreting cells (ASCs) whose origin, diversity and contribution to serum autoantibodies remain unknown. Here, deep sequencing, proteomic profiling of autoantibodies and single-cell analysis demonstrated highly diversified ASCs punctuated by clones expressing the variable heavy-chain region VH4-34 that produced dominant serum autoantibodies. A fraction of ASC clones contained autoantibodies without mutation, a finding consistent with differentiation outside the germinal centers. A substantial ASC segment was derived from a distinct subset of newly activated naive cells of considerable clonality that persisted in the circulation for several months. Thus, selection of SLE autoreactivities occurred during polyclonal activation, with prolonged recruitment of recently activated naive B cells. Our findings shed light on the pathogenesis of SLE, help explain the benefit of agents that target B cells and should facilitate the design of future therapies.


PLOS ONE | 2012

Two major autoantibody clusters in systemic lupus erythematosus

Kathryn H. Ching; Peter D. Burbelo; Christopher Tipton; Chungwen Wei; Michelle Petri; Ignacio Sanz; Michael J. Iadarola

Systemic lupus erythematosus is a chronic autoimmune disease of complex clinical presentation and etiology and is likely influenced by numerous genetic and environmental factors. While a large number of susceptibility genes have been identified, the production of antibodies against a distinct subset of nuclear proteins remains a primary distinguishing characteristic in disease diagnosis. However, the utility of autoantibody biomarkers for disease sub-classification and grouping remains elusive, in part, because of the difficulty in large scale profiling using a uniform, quantitative platform. In the present study serological profiles of several known SLE antigens, including Sm-D3, RNP-A, RNP-70k, Ro52, Ro60, and La, as well as other cytokine and neuronal antigens were obtained using the luciferase immunoprecipitation systems (LIPS) approach. The resulting autoantibody profiles revealed that 88% of a pilot cohort and 98% of a second independent cohort segregated into one of two distinct clusters defined by autoantibodies against Sm/anti-RNP or Ro/La autoantigens, proteins often involved in RNA binding activities. The Sm/RNP cluster was associated with a higher prevalence of serositis in comparison to the Ro/La cluster (P = 0.0022). However, from the available clinical information, no other clinical characteristics were associated with either cluster. In contrast, evaluation of autoantibodies on an individual basis revealed an association between anti-Sm (P = 0.006), RNP-A (P = 0.018) and RNP-70k (P = 0.010) autoantibodies and mucocutaneous symptoms and between anti-RNP-70k and musculoskeletal manifestations (P = 0.059). Serologically active, but clinically quiescent disease also had a higher prevalence of anti-IFN-α autoantibodies. Based on our findings that most SLE patients belong to either a Sm/RNP or Ro/La autoantigen cluster, these results suggest the possibility that alterations in RNA-RNA-binding protein interactions may play a critical role in triggering and/or the pathogenesis of SLE.


Arthritis Research & Therapy | 2011

Decreased influenza-specific B cell responses in rheumatoid arthritis patients treated with anti-tumor necrosis factor

James J. Kobie; Bo Zheng; Peter Bryk; Michael Barnes; Christopher T. Ritchlin; Darren Tabechian; Allen Anandarajah; R. John Looney; Ralf G. Thiele; Jennifer H. Anolik; Andreea Coca; Chungwen Wei; Alexander F. Rosenberg; Changyong Feng; John J. Treanor; F. Eun-Hyung Lee; Ignacio Sanz

IntroductionAs a group, rheumatoid arthritis (RA) patients exhibit increased risk of infection, and those treated with anti-tumor necrosis factor (TNF) therapy are at further risk. This increased susceptibility may result from a compromised humoral immune response. Therefore, we asked if short-term effector (d5-d10) and memory (1 month or later) B cell responses to antigen were compromised in RA patients treated with anti-TNF therapy.MethodsPeripheral blood samples were obtained from RA patients, including a subset treated with anti-TNF, and from healthy controls to examine influenza-specific responses following seasonal influenza vaccination. Serum antibody was measured by hemagglutination inhibition assay. The frequency of influenza vaccine-specific antibody secreting cells and memory B cells was measured by EliSpot. Plasmablast (CD19+IgD-CD27hiCD38hi) induction was measured by flow cytometry.ResultsCompared with healthy controls, RA patients treated with anti-TNF exhibited significantly decreased influenza-specific serum antibody and memory B cell responses throughout multiple years of the study. The short-term influenza-specific effector B cell response was also significantly decreased in RA patients treated with anti-TNF as compared with healthy controls, and correlated with decreased influenza-specific memory B cells and serum antibody present at one month following vaccination.ConclusionsRA patients treated with anti-TNF exhibit a compromised immune response to influenza vaccine, consisting of impaired effector and consequently memory B cell and antibody responses. The results suggest that the increased incidence and severity of infection observed in this patient population could be a consequence of diminished antigen-responsiveness. Therefore, this patient population would likely benefit from repeat vaccination and from vaccines with enhanced immunogenicity.


Journal of Immunology | 2014

Neutrophil-Mediated IFN Activation in the Bone Marrow Alters B Cell Development in Human and Murine Systemic Lupus Erythematosus

Arumugam Palanichamy; Jason W. Bauer; Srilakshmi Yalavarthi; Nida Meednu; Jennifer Barnard; Teresa Owen; Christopher Cistrone; Anna Bird; Alfred Rabinovich; Sarah Nevarez; Jason S. Knight; Russell Dedrick; Alexander F. Rosenberg; Chungwen Wei; Javier Rangel-Moreno; Jane L. Liesveld; Iñaki Sanz; Emily C. Baechler; Mariana J. Kaplan; Jennifer H. Anolik

Inappropriate activation of type I IFN plays a key role in the pathogenesis of autoimmune disease, including systemic lupus erythematosus (SLE). In this study, we report the presence of IFN activation in SLE bone marrow (BM), as measured by an IFN gene signature, increased IFN regulated chemokines, and direct production of IFN by BM-resident cells, associated with profound changes in B cell development. The majority of SLE patients had an IFN signature in the BM that was more pronounced than the paired peripheral blood and correlated with both higher autoantibodies and disease activity. Pronounced alterations in B cell development were noted in SLE in the presence of an IFN signature with a reduction in the fraction of pro/pre-B cells, suggesting an inhibition in early B cell development and an expansion of B cells at the transitional stage. These B cell changes strongly correlated with an increase in BAFF and APRIL expression in the IFN-high BM. Furthermore, we found that BM neutrophils in SLE were prime producers of IFN-α and B cell factors. In NZM lupus-prone mice, similar changes in B cell development were observed and mediated by IFN, given abrogation in NZM mice lacking type-I IFNR. BM neutrophils were abundant, responsive to, and producers of IFN, in close proximity to B cells. These results indicate that the BM is an important but previously unrecognized target organ in SLE with neutrophil-mediated IFN activation and alterations in B cell ontogeny and selection.


PLOS ONE | 2015

Expansion of Activated Peripheral Blood Memory B Cells in Rheumatoid Arthritis, Impact of B Cell Depletion Therapy, and Biomarkers of Response

Diana G. Adlowitz; Jennifer Barnard; Jamie N. Biear; Christopher Cistrone; Teresa Owen; Wensheng Wang; Arumugam Palanichamy; Ezinma Ezealah; Debbie Campbell; Chungwen Wei; R. John Looney; Ignacio Sanz; Jennifer H. Anolik

Although B cell depletion therapy (BCDT) is effective in a subset of rheumatoid arthritis (RA) patients, both mechanisms and biomarkers of response are poorly defined. Here we characterized abnormalities in B cell populations in RA and the impact of BCDT in order to elucidate B cell roles in the disease and response biomarkers. In active RA patients both CD27+IgD- switched memory (SM) and CD27-IgD- double negative memory (DN) peripheral blood B cells contained significantly higher fractions of CD95+ and CD21- activated cells compared to healthy controls. After BCD the predominant B cell populations were memory, and residual memory B cells displayed a high fraction of CD21- and CD95+ compared to pre-depletion indicating some resistance of these activated populations to anti-CD20. The residual memory populations also expressed more Ki-67 compared to pre-treatment, suggesting homeostatic proliferation in the B cell depleted state. Biomarkers of clinical response included lower CD95+ activated memory B cells at depletion time points and a higher ratio of transitional B cells to memory at reconstitution. B cell function in terms of cytokine secretion was dependent on B cell subset and changed with BCD. Thus, SM B cells produced pro-inflammatory (TNF) over regulatory (IL10) cytokines as compared to naïve/transitional. Notably, B cell TNF production decreased after BCDT and reconstitution compared to untreated RA. Our results support the hypothesis that the clinical and immunological outcome of BCDT depends on the relative balance of protective and pathogenic B cell subsets established after B cell depletion and repopulation.


American Journal of Transplantation | 2015

Longitudinal Studies of a B Cell Derived Signature of Tolerance in Renal Transplant Recipients

Kenneth A. Newell; Adam Asare; Ignacio Sanz; Chungwen Wei; Alexander F. Rosenberg; Z. Gao; Sai Kanaparthi; S. Asare; Noha Lim; M. Stahly; M. Howell; Stuart J. Knechtle; Allan D. Kirk; W. H. Marks; Tatsuo Kawai; Thomas R. Spitzer; Nina Tolkoff-Rubin; Megan Sykes; David H. Sachs; Cosimi Ab; William J. Burlingham; D. Phippard; Laurence A. Turka

Biomarkers of transplant tolerance would enhance the safety and feasibility of clinical tolerance trials and potentially facilitate management of patients receiving immunosuppression. To this end, we examined blood from spontaneously tolerant renal transplant recipients and patients enrolled in two interventional tolerance trials using flow cytometry and gene expression profiling. Using a previously reported tolerant cohort as well as newly identified tolerant patients, we confirmed our previous finding that tolerance was associated with increased expression of B cell–associated genes relative to immunosuppressed patients. This was not accounted for merely by an increase in total B cell numbers, but was associated with the increased frequencies of transitional and naïve B cells. Moreover, serial measurements of gene expression demonstrated that this pattern persisted over several years, although patients receiving immunosuppression also displayed an increase in the two most dominant tolerance‐related B cell genes, IGKV1D‐13 and IGLL‐1, over time. Importantly, patients rendered tolerant via induction of transient mixed chimerism, and those weaned to minimal immunosuppression, showed similar increases in IGKV1D‐13 as did spontaneously tolerant individuals. Collectively, these findings support the notion that alterations in B cells may be a common theme for tolerant kidney transplant recipients, and that it is a useful monitoring tool in prospective trials.


Cytometry Part A | 2011

OMIP‐003: Phenotypic analysis of human memory B cells

Chungwen Wei; John Jung; Iñaki Sanz

This panel was developed to characterize the phenotypic diversity of human memory B cells, with an emphasis on discriminating cell subsets within both the conventional memory population (CD27+) and the more recently described isotype switched (IgD−) population lacking expression of CD27 (1). It has been tested on fresh and cryopreserved peripheral blood mononuclear cells (PBMC), as well as bone marrow aspirates and tonsillar cells. The multicolor panel described herein has been used extensively to analyze large numbers of PBMC samples obtained from healthy controls in steady state and in response to infection (HIV, influenza, RSV) and vaccination (influenza, tetanus) as well as in hundreds of patients with autoimmune diseases (Systemic Lupus Erythematosus, Rheumatoid Arthritis, Sjogren’s syndrome, Psoriatic Arthritis and Type 1 Diabetes) and conditions characterized by allogeneic immune responses (renal transplantion and chronic graft versus host disease). This panel is also being applied in a longitudinal study in which 150 SLE patients are to be followed quarterly for a period of two years.


Cytometry Part A | 2014

High‐throughput flow cytometry data normalization for clinical trials

Greg Finak; Wenxin Jiang; Kevin Krouse; Chungwen Wei; Ignacio Sanz; Deborah Phippard; Adam Asare; Stephen C. De Rosa; Steve Self; Raphael Gottardo

Flow cytometry datasets from clinical trials generate very large datasets and are usually highly standardized, focusing on endpoints that are well defined apriori. Staining variability of individual makers is not uncommon and complicates manual gating, requiring the analyst to adapt gates for each sample, which is unwieldy for large datasets. It can lead to unreliable measurements, especially if a template‐gating approach is used without further correction to the gates. In this article, a computational framework is presented for normalizing the fluorescence intensity of multiple markers in specific cell populations across samples that is suitable for high‐throughput processing of large clinical trial datasets. Previous approaches to normalization have been global and applied to all cells or data with debris removed. They provided no mechanism to handle specific cell subsets. This approach integrates tightly with the gating process so that normalization is performed during gating and is local to the specific cell subsets exhibiting variability. This improves peak alignment and the performance of the algorithm. The performance of this algorithm is demonstrated on two clinical trial datasets from the HIV Vaccine Trials Network (HVTN) and the Immune Tolerance Network (ITN). In the ITN data set we show that local normalization combined with template gating can account for sample‐to‐sample variability as effectively as manual gating. In the HVTN dataset, it is shown that local normalization mitigates false‐positive vaccine response calls in an intracellular cytokine staining assay. In both datasets, local normalization performs better than global normalization. The normalization framework allows the use of template gates even in the presence of sample‐to‐sample staining variability, mitigates the subjectivity and bias of manual gating, and decreases the time necessary to analyze large datasets.

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Jennifer H. Anolik

University of Rochester Medical Center

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Iñaki Sanz

University of Rochester Medical Center

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Bo Zheng

University of Rochester

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Arumugam Palanichamy

University of Rochester Medical Center

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