Jin-Xiong She

Georgia Regents University, Augusta, Georgia, United States

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Publications (101)508.49 Total impact

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    ABSTRACT: Islet autoantibodies, in addition to elevated blood glucose, define type 1 diabetes. These autoantibodies are detectable for a variable period of time before diabetes onset. Thus, the occurrence of islet autoantibodies is associated with the beginning of the disease process. The age at, and order in, which autoantibodies appear may be associated with different genetic backgrounds or environmental exposures, or both. Infants with HLA-DR high-risk genotypes (DR3/4, DR4/4, DR4/8 and DR3/3) were enrolled and prospectively followed with standardised autoantibody assessments quarterly throughout the first 4 years of life and then semi-annually thereafter. Autoantibodies appeared in 549/8,503 (6.5%) children during 34,091 person-years of follow-up. Autoantibodies at 3 (0.1%) and 6 (0.2%) months of age were rare. Of the 549, 43.7% had islet autoantibodies to insulin (IAA) only, 37.7% had glutamic acid decarboxylase autoantibodies (GADA) only, 13.8% had both GADA and IAA only, 1.6% had insulinoma antigen-2 only and 3.1% had other combinations. The incidence of IAA only peaked within the first year of life and declined over the following 5 years, but GADA only increased until the second year and remained relatively constant. GADA only were more common than IAA only in HLA-DR3/3 children but less common in HLA-DR4/8 children. Islet autoantibodies can occur very early in life and the order of appearance was related to HLA-DR-DQ genotype.
    Diabetologia 02/2015; · 6.88 Impact Factor
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    ABSTRACT: The goal of this study was to determine whether age at introduction to gluten was associated with risk for celiac disease (CD) in genetically predisposed children. TEDDY (The Environmental Determinants of Diabetes in the Young) is a prospective birth cohort study. Newborn infants (N = 6436) screened for high-risk HLA-genotypes for CD were followed up in Finland, Germany, Sweden, and the United States. Information about infant feeding was collected at clinical visits every third month. The first outcome was persistent positive for tissue transglutaminase autoantibodies (tTGA), the marker for CD. The second outcome was CD, defined as either a diagnosis based on intestinal biopsy results or on persistently high levels of tTGA. Swedish children were introduced to gluten earlier (median: 21.7 weeks) compared with children from Finland (median: 26.1 weeks), Germany, and the United States (both median: 30.4 weeks) (P < .0001). During a median follow-up of 5.0 years (range: 1.7-8.8 years), 773 (12%) children developed tTGA and 307 (5%) developed CD. Swedish children were at increased risk for tTGA (hazard ratio: 1.74 [95% CI: 1.47-2.06]) and CD (hazard ratio: 1.76 [95% CI: 1.34-2.24]) compared with US children, respectively (P < .0001).Gluten introduction before 17 weeks or later than 26 weeks was not associated with increased risk for tTGA or CD, adjusted for country, HLA, gender, and family history of CD, neither in the overall analysis nor on a country-level comparison. In TEDDY, the time to first introduction to gluten introduction was not an independent risk factor for developing CD. Copyright © 2015 by the American Academy of Pediatrics.
    Pediatrics. 01/2015;
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    ABSTRACT: Cortical lamination is crucial for the assembly of cerebellar circuitry. In this process, granule neurons (GNs) migrate along Bergmann glia (BG), which are specialized astroglial cells, from the external granule layer to the internal granule layer. However, the molecular mechanisms underlying BG development are not well understood. Here, we show that GFAP::Cre;Erbb3(F/F) mice, which lack Erbb3 in both radial glia and neurons, exhibit impairments in balance and motor coordination. Cerebellar lamination is aberrant, with misplaced Purkinje neurons and GN clusters. These phenotypes were not observed in Math1::CreER(T2);Erbb3(F/F) mice, where the Erbb3 gene was deleted in GNs, suggesting involvement of non-neuronal Erbb3 in cerebellar lamination. Mechanistic studies indicate that ERBB3 is crucial for the proliferation of BG, which are required for GN migration. These observations identify a crucial role for ERBB3 in cerebellar lamination and reveal a novel mechanism that regulates BG development. © 2015. Published by The Company of Biologists Ltd.
    Development (Cambridge, England). 01/2015;
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    ABSTRACT: Gut microbiome dysbiosis is associated with numerous diseases, including type 1 diabetes. This pilot study determines how geographical location affects the microbiome of infants at high risk for type 1 diabetes in a population of homogenous HLA class II genotypes. High-throughput 16S rRNA sequencing was performed on stool samples collected from 90 high-risk, nonautoimmune infants participating in The Environmental Determinants of Diabetes in the Young (TEDDY) study in the U.S., Germany, Sweden, and Finland. Study site-specific patterns of gut colonization share characteristics across continents. Finland and Colorado have a significantly lower bacterial diversity, while Sweden and Washington state are dominated by Bifidobacterium in early life. Bacterial community diversity over time is significantly different by geographical location. The microbiome of high-risk infants is associated with geographical location. Future studies aiming to identify the microbiome disease phenotype need to carefully consider the geographical origin of subjects. © 2014 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.
    Diabetes Care 12/2014; · 8.57 Impact Factor
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    ABSTRACT: The Environmental Determinants of Diabetes in the Young (TEDDY) study prospectively follows 8,677 children enrolled from birth, who carry HLA-susceptibility genotypes for development of islet autoantibodies (IA) and type 1 diabetes (T1D). During the median follow-up time of 57 months, 350 children developed at least one persistent IA (GADA, IA-2A or mIAA) and 84 of them progressed to T1D. We genotyped 5,164 Caucasian children for 41 non-HLA SNPs that achieved genome-wide significance for association with T1D in the GWAS meta-analysis conducted by the Type 1 Diabetes Genetics Consortium. In TEDDY-participants carrying high-risk HLA-genotypes, eight SNPs achieved significant association to development of IA using time-to-event analysis (p<0.05), whereof four were significant after adjustment for multiple testing (p<0.0012): rs2476601 in PTPN22 (hazard ratio [HR] 1.54 [95% CI 1.27-1.88]), rs2292239 in ERBB3 (HR 1.33 [95% CI 1.14-1.55]), rs3184504 in SH2B3 (HR 1.38 [95% CI 1.19-1.61]) and rs1004446 in INS (HR 0.77 [0.66-0.90]). These SNPs were also significantly associated with T1D in particular: rs2476601 (HR 2.42 [95% CI 1.70-3.44]). Although genes in the HLA-region remain the most important genetic risk factors for T1D, other non-HLA genetic factors contribute to IA, a first step in the pathogenesis of T1D, and the progression of the disease. © 2014 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.
    Diabetes 11/2014; · 7.90 Impact Factor
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    ABSTRACT: A novel monoclonal antibody (mAb), known as AC10364, was identified from an antibody library generated by immunization of mice with human carcinoma cells. The mAb recognized proteins in lysates from multiple carcinoma cell lines. Cell cytotoxicity assays showed that AC10364 significantly inhibited cell growth and induced apoptosis in multiple carcinoma cell lines, including Bel/fu, KATO-III and A2780. Compared with mAb AC10364 or chemotherapeutic drugs alone, the combination of mAb AC10364 with chemotherapeutic drugs demonstrated enhanced growth inhibitory effects on carcinoma cells. These results suggest that mAb AC10364 is a promising candidate for cancer therapy.
    Asian Pacific journal of cancer prevention: APJCP 06/2014; 15(11):4423-8. · 1.50 Impact Factor
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    ABSTRACT: This study aimed to reliably identify serum protein profile alterations that may be useful for elucidation of the disease mechanism and/or finding new targets for treatment and intervention.
    International Journal of Gynecological Cancer 06/2014; · 1.95 Impact Factor
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    ABSTRACT: There is tremendous scientific and clinical value to further improve the predictive power of autoantibodies as autoantibody-positive (AbP) children have heterogeneous rates of progression to clinical diabetes. This study explored the potential of using gene expression profiles as biomarkers for risk stratification among 104 AbP subjects from the Diabetes Autoimmunity Study in the Young (DAISY) using a discovery dataset based on microarray and a validation dataset based on Real-Time RT-PCR. Our microarray data identified 454 candidate genes with expression levels that are associated with different T1D progression rates. RT-PCR analyses of the top 27 candidate genes confirmed five genes (BACH2, IGLL3, EIF3A, CDC20 and TXNDC5) that are associated with differential progression and implicated in lymphocyte activation and function. Multivariate analyses of these five genes in the discovery and validation datasets identified and confirmed four multi-gene models (BI, ICE, BICE and BITE, each letter representing a gene) that consistently stratify high and low risk subsets of AbP subjects with hazard ratios (HR) greater than 6 (p < 0.01). These results suggest that these genes may be involved in T1D pathogenesis and potentially serve as excellent gene expression biomarkers to predict the risk of progression to clinical diabetes for AbP subjects.
    Diabetes 03/2014; · 7.90 Impact Factor
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    ABSTRACT: DKK1 is a secreted glycoprotein that inhibits Wnt/β-catenin signaling but may up-regulate the nonconanical Wnt signaling. Consistent with its inhibitory function in Wnt/β-catenin signaling, aberrant DKK1 expression has been observed in many types of human cancers, while contradicting findings have been reported in other studies. There are also several studies on serum DKK1 levels in various cancers with conflicting findings. In the present study, serum DKK1 was determined in 217 non- small cell lung cancer (NSCLC) patients, 35 small cell lung cancer (SCLC) patients and 286 matched healthy controls using a commercially available ELISA assay kit. Compared to healthy controls, serum DKK1 level was significantly lower in NSCLC (p < 10(-28)) and SCLC (p <10(-4)) patients. Interestingly, serum DKK1 level was higher in NSCLC patients in stage IV (p < 0.0005), with lymph node involvement (p < 0.0002) or with metastasis (p < 0.0001), suggesting that DKK1 may promote metastasis. After surgery and/or chemotherapy, serum DKK1 level is rapidly increased and reached levels observed in healthy controls in most patients. The degree of post therapeutic DKK1 increase varied in different treatment regimens. Our results thus provide strong evidence for the reduced levels of serum DKK1 in both types of lung cancer. However, in the context of all published studies, DKK1 appears to have a dichotomous role in cancer and its effect in a given cancer type or even a given cancer patient is likely to depend on the molecular context of the patient.
    American Journal of Translational Research 01/2014; 6(6):850-6. · 3.23 Impact Factor
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    ABSTRACT: The Environmental Determinants of Diabetes in the Young (TEDDY) planned biomarker discovery studies on longitudinal samples for persistent confirmed islet cell autoantibodies and type 1 diabetes (T1D) using dietary biomarkers, metabolomics, microbiome/viral metagenomics and gene expression. This paper describes the details of planning the TEDDY biomarker discovery studies using a nested case-control design that was chosen as an alternative to the full cohort analysis. In the frame of a nested case-control design, it guides the choice of matching factors, selection of controls, preparation of external quality control samples, and reduction of batch effects along with proper sample allocation. Our design is to reduce potential bias and retain study power while reduce the costs by limiting the numbers of samples requiring laboratory analyses. It also covers two primary end points (the occurrence of diabetes-related autoantibodies and the diagnosis of T1D). The resulting list of case-control matched samples for each laboratory was augmented with external quality control (QC) samples. This article is protected by copyright. All rights reserved.
    Diabetes/Metabolism Research and Reviews 12/2013; · 3.59 Impact Factor
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    ABSTRACT: Mycophenolic acid (MPA) is the metabolized product and active element of mycophenolate mofetil (MMF) that has been widely used for the prevention of acute graft rejection. MPA potently inhibits inosine monophosphate dehydrogenase (IMPDH) that is up-regulated in many tumors and MPA is known to inhibit cancer cell proliferation as well as fibroblast and endothelial cell migration. In this study, we demonstrated for the first time MPA's antimigratory and anti-invasion abilities of MPA-sensitive AGS (gastric cancer) cells. Genome-wide expression analyses using Illumina whole genome microarrays identified 50 genes with ≥2 fold changes and 15 genes with > 4 fold alterations and multiple molecular pathways implicated in cell migration. Real-time RT-PCR analyses of selected genes also confirmed the expression differences. Furthermore, targeted proteomic analyses identified several proteins altered by MPA treatment. Our results indicate that MPA modulates gastric cancer cell migration through down-regulation of a large number of genes (PRKCA, DOCK1, INF2, HSPA5, LRP8 and PDGFRA) and proteins (PRKCA, AKT, SRC, CD147 and MMP1) with promigratory functions as well as up-regulation of a number of genes with antimigratory functions (ATF3, SMAD3, CITED2 and CEAMCAM1). However, a few genes that may promote migration (CYR61 and NOS3) were up-regulated. Therefore, MPA's overall antimigratory role on cancer cells reflects a balance between promigratory and antimigratory signals influenced by MPA treatment.
    PLoS ONE 11/2013; 8(11):e81702. · 3.53 Impact Factor
    This article is viewable in ResearchGate's enriched format
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    ABSTRACT: Biomarkers play critical roles in early detection, diagnosis and monitoring of therapeutic outcome and recurrence of cancer. Previous biomarker research on ovarian cancer (OC) has mostly focused on the discovery and validation of diagnostic biomarkers. The primary purpose of this study is to identify serum biomarkers for prognosis and therapeutic outcomes of ovarian cancer. Forty serum proteins were analyzed in 70 serum samples from healthy controls (HC) and 101 serum samples from serous OC patients at three different disease phases: post diagnosis (PD), remission (RM) and recurrence (RC). The utility of serum proteins as OC biomarkers was evaluated using a variety of statistical methods including survival analysis. Ten serum proteins (PDGF-AB/BB, PDGF-AA, CRP, sFas, CA125, SAA, sTNFRII, sIL-6R, IGFBP6 and MDC) have individually good area-under-the-curve (AUC) values (AUC = 0.69-0.86) and more than 10 three-marker combinations have excellent AUC values (0.91-0.93) in distinguishing active cancer samples (PD & RC) from HC. The mean serum protein levels for RM samples are usually intermediate between HC and OC patients with active cancer (PD & RC). Most importantly, five proteins (sICAM1, RANTES, sgp130, sTNFR-II and sVCAM1) measured at remission can classify, individually and in combination, serous OC patients into two subsets with significantly different overall survival (best HR = 17, p<10(-3)). We identified five serum proteins which, when measured at remission, can accurately predict the overall survival of serous OC patients, suggesting that they may be useful for monitoring the therapeutic outcomes for ovarian cancer.
    PLoS ONE 11/2013; 8(11):e78393. · 3.53 Impact Factor
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    ABSTRACT: OBJECTIVE Our previous gene expression microarray studies identified a number of genes differentially expressed in patients with type 1 diabetes (T1D) and islet autoantibody-positive subjects. This study was designed to validate these gene expression changes in T1D patients and to identify gene expression changes in diabetes complications.RESEARCH DESIGH AND METHODS We performed high-throughput real-time RT-PCR to validate gene expression changes in peripheral blood mononuclear cells (PBMCs) from a large sample set of 928 T1D patients and 922 control subjects.RESULTSOf the 18 genes analyzed here, eight genes (S100A8, S100A9, MNDA, SELL, TGFB1, PSMB3, CD74, and IL12A) had higher expression and three genes (GNLY, PSMA4, and SMAD7) had lower expression in T1D patients compared with control subjects, indicating that genes involved in inflammation, immune regulation, and antigen processing and presentation are significantly altered in PBMCs from T1D patients. Furthermore, one adhesion molecule (SELL) and three inflammatory genes mainly expressed by myeloid cells (S100A8, S100A9, and MNDA) were significantly higher in T1D patients with complications (odds ratio [OR] 1.3-2.6, adjusted P value = 0.005-10(-8)), especially those patients with neuropathy (OR 4.8-7.9, adjusted P value <0.005).CONCLUSIONS These findings suggest that inflammatory mediators secreted mainly by myeloid cells are implicated in T1D and its complications.
    Diabetes care 05/2013; · 7.74 Impact Factor
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    ABSTRACT: Regulatory T cells (Treg), which play a pivotal role in maintaining immune homeostasis by suppressing the proliferation of effector T cells, have great therapeutic potential for autoimmune diseases and transplantation. However, progress on their clinical application has been hampered by the lack of high throughput screening (HTS) strategies for the systematic and rapid evaluation of existing drugs and the identification of novel drug candidates. In this report, we present an innovative in vitro HTS assay using CD4(+) T cells from Foxp3-GFP transgenic mice that specifically express the GFP signal in Foxp3(+) Treg cells detectable by FACS analysis in a high throughput manner. Systematic evaluation of 640 FDA-approved drugs revealed that 70 drugs increased the number of Treg cells with suppression function only in the presence of TGFβ, 75 drugs increased Treg numbers even in the absence of TGFβ, and 32 drugs increased Treg numbers synergistically with TGFβ. The identified Treg-promoting drugs include those previously known to induce Treg (rapamycin and retinoic acid), statins, glucocorticoids and drugs in many other categories. Furthermore, Treg cells cultured with the identified drugs possess surface and intracellular markers characteristic of natural Treg cells and possess suppressive function. These results suggest that this Treg HTS assay can be used to screen compound libraries to identify novel chemical entities for Treg-based immune therapies.
    Biochemical pharmacology 03/2013; · 4.25 Impact Factor
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    ABSTRACT: Activation of signal transducers and activators of transcription (STAT) proteins may be critical to their oncogenic functions as demonstrated by the development of B-cell lymphoma/leukemia in transgenic (TG) mice overexpressing a constitutively activated form of Stat5b. However, low incidence of CD8 T cell lymphoma was observed in B6 transgenic mice overexpressing a wild-type Stat5b (B6.Stat5b) despite of undetectable Stat5b phosphorylation and the rate of lymphomagenesis was markedly enhanced by immunization or the introduction of TCR transgenes [1]. Here, we report that the wild-type Stat5b transgene leads to the acceleration and high incidence (74%) of CD8 T cell lymphoblastic lymphomas in the non-obese-diabetic (NOD) background. In contrast to the B6.Stat5b mice, Stat5b in transgenic NOD (NOD.Stat5b) mice is selectively and progressively phosphorylated in CD8 thymocytes. Stat5 phosphorylation also leads to up-regulation of many genes putatively relevant to tumorigenesis. Treatment of NOD.Stat5b mice with cancer chemopreventive agents Apigenin and Xanthohumol efficiently blocked lymphomagenesis through reduction of Stat5 phosphorylation and genes up-regulated in the NOD.Stat5b mice. These results suggest that NOD genetic background is critical to the Stat5b-mediated lymphomagenesis through regulation of Stat5 hyperactivation. NOD.Stat5b mouse is an excellent model for studying the molecular mechanisms underlying lymphomagenesis and testing novel chemoprevention strategies.
    PLoS ONE 02/2013; 8(2):e56600. · 3.53 Impact Factor
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    ABSTRACT: Inhibition of inosine monophosphate dehydrogenase (IMPDH) by mycophenolic acid (MPA) can inhibit proliferation and induce apoptosis in cancer cells. This study investigated the underlying molecular mechanisms of MPA's anticancer activity. A gastric cancer cell line (AGS) was treated with MPA and gene expression at different time points was analyzed using Illumina whole genome microarrays and selected genes were confirmed by real-time RT-PCR. Transcriptomic profiling identified 1070 genes with ≥2 fold changes and 85 genes with >4 fold alterations. The most significantly altered biological processes by MPA treatment include cell cycle, apoptosis, cell proliferation and migration. MPA treatment altered at least ten KEGG pathways, of which eight (p53 signaling, cell cycle, pathways in cancer, PPAR signaling, bladder cancer, protein processing in ER, small cell lung cancer and MAPK signaling) are cancer-related. Among the earliest cellular events induced by MPA is cell cycle arrest which may be caused by six molecular pathways: 1) up-regulation of cyclins (CCND1 and CCNE2) and down-regulation of CCNA2 and CCNB1, 2) down-regulation of cyclin-dependent kinases (CDK4 and CDK5); 3) inhibition of cell division related genes (CDC20, CDC25B and CDC25C) and other cell cycle related genes (MCM2, CENPE and PSRC1), 4) activation of p53, which activates the cyclin-dependent kinase inhibitors (CDKN1A), 5) impaired spindle checkpoint function and chromosome segregation (BUB1, BUB1B, BOP1, AURKA, AURKB, and FOXM1); and 6) reduction of availability of deoxyribonucleotides and therefore DNA synthesis through down-regulation of the RRM1 enzyme. Cell cycle arrest is followed by inhibition of cell proliferation, which is mainly attributable to the inhibition of the PI3K/AKT/mTOR pathway, and caspase-dependent apoptosis due to up-regulation of the p53 and FAS pathways. These results suggest that MPA has beneficial anticancer activity through diverse molecular pathways and biological processes.
    American Journal of Translational Research 01/2013; 6(1):28-42. · 3.23 Impact Factor
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    ABSTRACT: Mycophenolate mofetil (MMF), the prodrug of mycophenolic acid (MPA) which has been widely used for the prevention of acute graft rejection, is a potent inhibitor of inosine monophosphate dehydrogenase (IMPDH) that is up-regulated in many tumors and potentially a target for cancer therapy. MPA is known to inhibit cancer cell proliferation and induces apoptosis; however, the underlying molecular mechanisms remain elusive. We first demonstrated MPA's antiproliferative and proapoptotic activities using in vitro studies of 13 cancer cell lines and a xenograft model. Key proteins involved in cell cycle, proliferation and apoptosis were analyzed by Western blotting. In vitro treatment of thirteen cancer cell lines indicated that five cell lines (AGS, NCI-N87, HCT-8, A2780 and BxPC-3) are highly sensitive to MPA (IC50 < 0.5 μg/ml), four cell lines (Hs746T, PANC-1, HepG2 and MCF-7) are very resistant to MPA (IC50 > 20 μg/ml) and the four other cell lines (KATO III, SNU-1, K562 and HeLa) have intermediate sensitivity. The anticancer activity of MPA was confirmed in vivo using xenograft model with gastric AGS cell line. Further in vitro analyses using AGS cells indicated that MPA can potently induce cell cycle arrest and apoptosis as well as inhibition of cell proliferation. Targeted proteomic analyses indicate that many critical changes responsible for MPA's activities occur at the protein expression and phosphorylation levels. MPA-induced cell cycle arrest is achieved through reduction of many cell cycle regulators such as CDK4, BUB1, BOP1, Aurora A and FOXM1. We also demonstrate that MPA can inhibit the PI3K/AKT/mTOR pathway and can induce caspase-dependent apoptosis. These results suggest that MPA has beneficial activities for anticancer therapy through diverse molecular pathways and biological processes.
    International journal of clinical and experimental pathology 01/2013; 6(12):2880-6. · 1.78 Impact Factor
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    ABSTRACT: The common genetic loci that independently influence the risk of type 1 diabetes have largely been determined. Their interactions with age-at-diagnosis of type 1 diabetes, sex, or the major susceptibility locus, HLA class II, remain mostly unexplored. A large collection of more than 14,866 type 1 diabetes samples (6,750 British diabetic individuals and 8,116 affected family samples of European descent) were genotyped at 38 confirmed type 1 diabetes-associated non-HLA regions and used to test for interaction of association with age-at-diagnosis, sex, and HLA class II genotypes using regression models. The alleles that confer susceptibility to type 1 diabetes at interleukin-2 (IL-2), IL2/4q27 (rs2069763) and renalase, FAD-dependent amine oxidase (RNLS)/10q23.31 (rs10509540), were associated with a lower age-at-diagnosis (P = 4.6 × 10(-6) and 2.5 × 10(-5), respectively). For both loci, individuals carrying the susceptible homozygous genotype were, on average, 7.2 months younger at diagnosis than those carrying the protective homozygous genotypes. In addition to protein tyrosine phosphatase nonreceptor type 22 (PTPN22), evidence of statistical interaction between HLA class II genotypes and rs3087243 at cytotoxic T-lymphocyte antigen 4 (CTLA4)/2q33.2 was obtained (P = 7.90 × 10(-5)). No evidence of differential risk by sex was obtained at any loci (P ≥ 0.01). Statistical interaction effects can be detected in type 1 diabetes although they provide a relatively small contribution to our understanding of the familial clustering of the disease.
    Diabetes 08/2012; 61(11):3012-7. · 7.90 Impact Factor
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    ABSTRACT: The signal transducers and activators of transcription (STAT) family of proteins play a critical role in cytokine signaling required for fine tuning of immune regulation. Previous reports showed that a mutation (L327M) in the Stat5b protein leads to aberrant cytokine signaling in the NOD mice. To further elaborate the role of Stat5b in diabetes, we established a NOD transgenic mouse that over-expresses the wild type Stat5b gene. The incidences of spontaneous diabetes as well as cyclophosphamide-induced diabetes were significantly reduced and delayed in the Stat5b transgenic NOD mice compared to their littermate controls. The total cell numbers of CD4(+) T cells and especially CD8(+) T cells in the spleen and pancreatic lymph node were increased in the Stat5b transgenic NOD mice. Consistent with these findings, CD4(+) and CD8(+) T cells from the Stat5b transgenic NOD mice showed a higher proliferation capacity and up-regulation of multiple cytokines including IL-2, IFN-γ, TNF-α and IL-10 as well as anti-apoptotic gene Bcl-xl. Furthermore, the number and proportion of CD4(+)CD25(+) regulatory T cells were significantly increased in transgenic mice although in vitro suppression ability of the regulatory T-cells was not affected by the transgene. Our results suggest that Stat5b confers protection against diabetes in the NOD mice by regulating the numbers and function of multiple immune cell types, especially by up-regulating CD4(+)CD25(+) regulatory T cells.
    Biochemical and Biophysical Research Communications 07/2012; 424(4):669-74. · 2.28 Impact Factor

Publication Stats

2k Citations
508.49 Total Impact Points

Institutions

  • 2012–2015
    • Georgia Regents University
      • Center for Biotechnology and Genomic Medicine
      Augusta, Georgia, United States
  • 2003–2012
    • Georgia Health Sciences University
      • Center for Biotechnology and Genomic Medicine
      Augusta, Georgia, United States
  • 2011
    • Nanjing University of Technology
      Nan-ching, Jiangsu Sheng, China
  • 2007–2010
    • Medical College of Georgia
      Augusta, Georgia, United States
  • 2009
    • George Washington University
      • Biostatistics Center
      Washington, Washington, D.C., United States
  • 2005–2006
    • Joslin Diabetes Center
      • Section on Genetics and Epidemiology
      Boston, MA, United States
    • The Ohio State University
      Columbus, Ohio, United States
  • 2004
    • Florida State University
      • Department of Medical Humanities & Social Sciences
      Tallahassee, FL, United States
  • 1999–2004
    • University of Florida
      • Department of Pathology, Immunology, and Laboratory Medicine
      Gainesville, FL, United States
  • 2002
    • McKnight Brain Institute
      Gainesville, Florida, United States