Measuring adrenal autoantibody response: Interlaboratory concordance in the first international serum exchange for the determination of 21-hydroxylase autoantibodies

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Measurement of islet cell antibodies in the Type 1 Diabetes Genetics Consortium: efforts to harmonize procedures among the laboratories

Background and Purpose Three network laboratories measured antibodies to islet autoantigens. Antibodies to glutamic acid decarboxylase (GAD65 [GADA]) and the intracellular portion of protein tyrosine phosphatase (IA-2ic [IA-2A]) were measured by similar, but not identical, methods in samples from participants in the Type 1 Diabetes Genetics Consortium (T1DGC)

Central Nervous System Destruction Mediated by Glutamic Acid Decarboxylase-Specific CD4+ T Cells

High titers of autoantibodies against glutamic acid decarboxylase 65 (GAD65) are commonly observed in patients suffering from type 1 diabetes (T1D) as well as Stiff Person syndrome (SPS), a disorder that affects the central nervous system, and a variant of SPS, progressive encephalomyelitis with rigidity and myoclonus (PERM). While there is a considerable amount of data focusing on the role of GAD65-specific CD4+ T cells in T1D, little is known about their role in SPS. Here we show that mice possessing a monoclonal GAD65-specific CD4+ T cell population (4B5, PA19.9G11 or PA17.9G7) develop a lethal encephalomyelitis-like disease in the absence of any other T cells or B cells. GAD65-reactive CD4+ T cells were found throughout the CNS in direct concordance with GAD65 expression and activated microglia: proximal to the circumventricular organs at the interface between the brain parenchyma and the blood brain barrier. In the presence of B cells, high titer anti-GAD65 autoantibodies were generated but these had no effect on the incidence or severity of disease. In addition, GAD65-specific CD4+ T cells isolated from the brain were activated and produced IFN-γ. These findings suggest that GAD65-reactive CD4+ T cells alone mediate a lethal encephalomyelitis-like disease that may serve as a useful model to study GAD65-mediated diseases of the CNS

Specific human leukocyte antigen DQ influence on expression of antiislet autoantibodies and progression to type 1 diabetes

Human leukocyte antigen (HLA) DQ haplotypes have the strongest genetic association with type 1 diabetes (T1DM) risk. OBJECTIVE: The objective of the study was to analyze whether HLA DQ alleles influence the development of antiislet autoantibodies, the progression to T1DM among autoantibody-positive relatives, or both. DESIGN: The Diabetes Prevention Trial-1 screened more than 90,000 nondiabetic relatives of patients for cytoplasmic islet-cell autoantibody (ICA) expression between 1994 and 2002. SETTING: The study was conducted in the general community. PARTICIPANTS: The Diabetes Prevention Trial-1 found 2817 ICA-positive relatives who were tested for biochemical autoantibodies (GAD65, ICA512, and insulin) and HLA-DQ haplotypes, and 2796 of them were followed up for progression to diabetes for up to 8 yr (median, 3.6 yr). MAIN OUTCOME MEASURE: Progression to T1DM was measured. RESULTS: High-risk DQ haplotypes and genotypes were associated with a higher percentage of relatives expressing multiple biochemical autoantibodies and higher T1DM risk (e.g., respectively, 59 and 36% at 5 yr for carriers of the DQA1*0301-DQB1*0302/DQA1*0501-DQB1*0201 genotype). The number of autoantibodies expressed significantly increased T1DM risk and across different DQ genotypes, autoantibody positivity directly correlated with diabetes risk. However, multivariate analyses indicated that the influence of most genotypes on T1DM risk was not independent from autoantibody expression, with the possible exception of DQA1*0102-DQB1*0602. Specific genotypic combinations conferred 5-yr diabetes risks significantly lower (e.g. 7%-DQA1*0201-DQB1*0201/DQA1*0501-DQB1*0201 and 14%-DQA1*0301-DQB1*0301/DQA1*0501-DQB1*0201) than when those haplotypes were found in other combinations. CONCLUSION: HLA DQ alleles determine autoantibody expression, which is correlated with diabetes progression. Among autoantibody-positive relatives, most HLA DQ genotypes did not further influence T1DM risk

HLA-DRB1*15:01-DQA1*01:02-DQB1*06:02 Haplotype Protects Autoantibody-Positive Relatives From Type 1 Diabetes Throughout the Stages of Disease Progression

The HLA-DRB1*15:01-DQA1*01:02-DQB1*06:02 haplotype is linked to protection from the development of type 1 diabetes (T1D). However, it is not known at which stages in the natural history of T1D development this haplotype affords protection. We examined a cohort of 3,358 autoantibody-positive relatives of T1D patients in the Pathway to Prevention (PTP) Study of the Type 1 Diabetes TrialNet. The PTP study examines risk factors for T1D and disease progression in relatives. HLA typing revealed that 155 relatives carried this protective haplotype. A comparison with 60 autoantibody-negative relatives suggested protection from autoantibody development. Moreover, the relatives with DRB1*15:01-DQA1*01:02-DQB1*06:02 less frequently expressed autoantibodies associated with higher T1D risk, were less likely to have multiple autoantibodies at baseline, and rarely converted from single to multiple autoantibody positivity on follow-up. These relatives also had lower frequencies of metabolic abnormalities at baseline and exhibited no overall metabolic worsening on follow-up. Ultimately, they had a very low 5-year cumulative incidence of T1D. In conclusion, the protective influence of DRB1*15:01-DQA1*01:02-DQB1*06:02 spans from autoantibody development through all stages of progression, and relatives with this allele only rarely develop T1D

A lightweight framework for secure life-logging in smart environments

As the world becomes an interconnected network where objects and humans interact with each other, new challenges and threats appear in the ecosystem. In this interconnected world, smart objects have an important role in giving users the chance for life-logging in smart environments. However, smart devices have several limitations with regards to memory, resources and computation power, hindering the opportunity to apply well-established security algorithms and techniques for secure life-logging on the Internet of Things (IoT) domain. The need for secure and trustworthy life-logging in smart environments is vital, thus, a lightweight approach has to be considered to overcome the constraints of smart objects. The purpose of this paper is to present in details the current topics of life-logging in smart environments, while describing interconnection issues, security threats and suggesting a lightweight framework for ensuring security, privacy and trustworthy life-logging. In order to investigate the efficiency of the lightweight framework and the impact of the security attacks on energy consumption, an experimental test-bed was developed including two interconnected users and one smart attacker, who attempts to intercept transmitted messages or interfere with the communication link. Several mitigation factors, such as power control, channel assignment and AES-128 encryption were pplied for secure life-logging. Finally, research into the degradation of the consumed energy regarding the described intrusions is presented

Multiple Binding Sites on the Pyrin Domain of ASC Protein Allow Self-association and Interaction with NLRP3 Protein

A key process underlying an innate immune response to pathogens or cellular stress is activation of members of the NOD-like receptor family, such as NLRP3, to assemble caspase- 1-activating inflammasome complexes. Activated caspase-1 processes proinflammatory cytokines into active forms that mediate inflammation. Activation of the NLRP3 inflammasome is also associated with common diseases including cardiovascular disease, diabetes, chronic kidney disease, and Alzheimer disease. However, the molecular details of NLRP3 inflammasome assembly are not established. The adaptor protein ASC plays a key role in inflammasome assembly. It is composed of an N-terminal pyrin domain (PYD) and a C-terminal caspase recruitment domain, which are protein interaction domains of the death fold superfamily. ASC interacts with NLRP3 via a homotypic PYD interaction and recruits procaspase-1 via a homotypic caspase recruitment domain interaction. Here we demonstrate that ASC PYD contains two distinct binding sites important for self-association and interaction with NLRP3 and the modulatory protein POP1. Modeling of the homodimeric ASC PYD complex formed via an asymmetric interaction using both sites resembles a type I interaction found in other death fold domain complexes. This interaction mode also permits assembly of ASC PYDs into filaments. Furthermore, a type I binding mode is likely conserved in interactions with NLRP3 and POP1, because residues critical for interaction of ASC PYD are conserved in these PYDs. We also demonstrate that ASC PYD can simultaneously self-associate and interact with NLRP3, rationalizing the model whereby ASC self-association upon recruitment to NLRP3 promotes clustering and activation of procaspase-1