Autoimmune diagnostics in diabetes mellitus

Seißler, Jochen; Scherbaum, Werner A.

doi:10.1515/cclm.2006.025

Cited by 16 publications

(6 citation statements)

References 29 publications

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“…Pancreatic ␤-cells express this enzyme, among other cell types. The prevalence of these AAs in subjects with new-onset type 1 diabetes is 60 -70% for GADAs, 40% for IA-2As, and 20% for IA-2␤As (44,45). All DRAs could be useful for screening of autoimmune diabetes.…”

Section: Dras and Diabetic Pregnancymentioning

confidence: 99%

Diabetes-Related Autoantibodies and Gestational Diabetes

2007

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Section: Dras and Diabetic Pregnancymentioning

confidence: 99%

Diabetes-Related Autoantibodies and Gestational Diabetes

2007

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“…Specific auto-antibodies, such as islet cell cytoplasmic, insulin, glutamic acid decarboxylase, and islet cell antigen 512 (IA2/ICA512) autoantigen, combined with other metabolic and genetic markers, are effective for predicting eventual development of type 1 diabetes in otherwise healthy individuals [8]. Autoimmune diagnostics are of particular importance to discriminate between type 1 and type 2 diabetes and for the differential diagnosis of type 1 diabetes when clinical and metabolic criteria alone do not allow definite classification [9]. Advanced glycation end products (AGEs; glycoxidation post-translational modifications of a variety of polypeptides) and advanced lipoxidation end products (ALEs; lipoxygenation post-synthesis modifications of a variety of lipids), which promote inflammation, have also been proposed as diagnostic and prognostic markers [3,10].…”

Section: Introductionmentioning

confidence: 99%

Diabetes-related molecular signatures in infrared spectra of human saliva

Scott

Renaud

Krishnasamy

et al. 2010

Diabetol Metab Syndr

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BackgroundThere is an ongoing need for improvements in non-invasive, point-of-care tools for the diagnosis and prognosis of diabetes mellitus. Ideally, such technologies would allow for community screening.MethodsIn this study, we employed infrared spectroscopy as a novel diagnostic tool in the prediction of diabetic status by analyzing the molecular and sub-molecular spectral signatures of saliva collected from subjects with diabetes (n = 39) and healthy controls (n = 22).ResultsSpectral analysis revealed differences in several major metabolic components - lipid, proteins, glucose, thiocyanate and carboxylate - that clearly demarcate healthy and diseased saliva. The overall accuracy for the diagnosis of diabetes based on infrared spectroscopy was 100% on the training set and 88.2% on the validation set. Therefore, we have established that infrared spectroscopy can be used to generate complex biochemical profiles in saliva and identify several potential diabetes-associated spectral features.ConclusionsInfrared spectroscopy may represent an appropriate tool with which to identify novel diseases mechanisms, risk factors for diabetic complications and markers of therapeutic efficacy. Further study into the potential utility of infrared spectroscopy as diagnostic and prognostic tool for diabetes is warranted.

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“…28 This may explain the presence of false positives that we have found in this study. This situation may also be explained by the existence of prediabetes.…”

Section: Discussionmentioning

confidence: 63%

GAD65 antibody prevalence and association with c-peptide, HLA class II alleles in Beninese patients with type 1 diabetes

et al. 2017

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Background: Antibodies to glutamic acid decarboxylase and particularly their isoforms in 65 kDa are one of markers for the diagnosis of the type 1 diabetes (T1D). The aim of this study is to assess the prevalence of GAD65 antibodies (GAD65Ab) and investigate the association of GAD65Ab with C-peptide values, HLA Class II alleles genotyping. The diagnosis of T1D was set up according to American Diabetes Association criteria.Methods: Radioimmunoassay was used to determine the GAD65Ab and C-peptide values. Class II HLA genotyping was performed in 51 patients with T1D and 51 healthy unrelated as control by using the PCR-SSP method. The sensitivity and specificity of the tests were calculated by standard formula.Results: Result revealed that GAD65Ab were present in 74.5% (38/51) of the patients with T1D. There was no significant difference between the positivity or the negativity of GAD65Ab and gender, onset and duration of diabetes, frequencies of HLA-DR4, HLA-DR3-DR4, HLA-DQB1*0201. However, GAD65Ab values are linked to C-peptide concentration (χ2 =15.73, P=0.0001), the presence of HLA-DR3 (χ2 =9.75, P= 0.002), HLA-DQA1*0501 (χ2 =4.09, P= 0.043) alleles. The GAD65Ab test sensitivity and specificity were 74.5% and 94.1%, respectively. The C-peptide test showed a sensitivity around 82.4 % and 86.3 % for the specificity.Conclusions: GAD65Ab showed to be a valuable early predictive marker and is associated with the risk to develop of T1D.

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Autoimmune diagnostics in diabetes mellitus

Cited by 16 publications

References 29 publications

Diabetes-Related Autoantibodies and Gestational Diabetes

Diabetes-Related Autoantibodies and Gestational Diabetes

Diabetes-related molecular signatures in infrared spectra of human saliva

GAD65 antibody prevalence and association with c-peptide, HLA class II alleles in Beninese patients with type 1 diabetes

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