Serological Proteome Analysis (SERPA) as a tool for the identification of new candidate autoantigens in type 1 diabetes

Massa, Ornella; Alessio, Massimo; Russo, Lucía; Nardo, Giovanni; Bonetto, Valentina; Bertuzzi, Federico; Paladini, Alessandra; Iafusco, Dario; Patera, Patrizia Ippolita; Federici, Giorgio; Not, Tarcisio; Tiberti, Claudio; Bonfanti, Riccardo; Barbetti, Fabrizio

doi:10.1016/j.jprot.2013.02.030

Cited by 32 publications

(16 citation statements)

References 35 publications

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“… searched for T1D‐associated proteins by comparing the serum proteome of healthy and diabetic patients, while the goal of Massa et al. and Miersch et al. was to identify autoantigens in T1D.…”

Section: Proteomics For Biomarker and Autoantigen Discoverymentioning

confidence: 99%

“…In addition to biomarker studies, immunoproteomics are also very useful to search for specific autoimmune diseaserelated antigens in autoimmune diseases. In this approach, the serum of patients is screened for the presence of autoantibodies, for instance by protein arrays or detection on 2DE Western blots [65,66].…”

Section: Proteomic Techniques Used For Biomarker and Autoantigen Discmentioning

confidence: 99%

“…Another technique to search for new T1D biomarkers, more specifically candidate autoantibodies, was used by Massa et al [66], who performed Serological Proteome Analysis (SERPA). Here, human islet proteins, separated on a 2D gel and blotted on a membrane, were detected with serum from T1D patients.…”

Section: Search For New T1d Biomarkers: Serological and Islet Proteomementioning

confidence: 99%

“…The high variability between the studies is probably due to the use of very different approaches with the goal to identify biomarkers for different applications. For instance, Zhi et al [68] searched for T1D-associated proteins by comparing the serum proteome of healthy and diabetic patients, while the goal of Massa et al [66] and Miersch et al [75] was to identify autoantigens in T1D. Moreover, Lindskog et al [76] searched for proteins selectively expressed in islets, making them useful for in vivo imaging of beta-cell mass.…”

Section: Search For New T1d Biomarkers: Serological and Islet Proteomementioning

confidence: 99%

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The beta‐cell in type 1 diabetes: What have we learned from proteomic studies?

Crèvecoeur

Rondas

Mathieu

et al. 2015

Proteomics Clinical Apps

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Pancreatic beta-cells have a crucial role in the regulation of blood glucose homeostasis by the production and secretion of insulin. In type 1 diabetes (T1D), an autoimmune reaction against the beta-cells together with the presence of inflammatory cytokines and ROS in the islets leads to beta-cell dysfunction and death. This review gives an overview of proteomic studies that lead to better understanding of beta-cell functioning in T1D. Protein profiling of isolated islets and beta-cell lines in health and T1D contributed to the unraveling of pathways involved in cytokine-induced cell death. In addition, by studying the serological proteome of T1D patients, new biomarkers and beta-cell autoantigens were discovered, which may improve screening tests and follow-up of T1D development. Interestingly, an important role for PTMs was demonstrated in the generation of beta-cell autoantigens. To conclude, proteomic techniques are of indispensable value to improve the knowledge on beta-cell function in T1D and the search toward therapeutic targets.

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Section: Proteomics For Biomarker and Autoantigen Discoverymentioning

confidence: 99%

Section: Proteomic Techniques Used For Biomarker and Autoantigen Discmentioning

confidence: 99%

Section: Search For New T1d Biomarkers: Serological and Islet Proteomementioning

confidence: 99%

Section: Search For New T1d Biomarkers: Serological and Islet Proteomementioning

confidence: 99%

See 2 more Smart Citations

The beta‐cell in type 1 diabetes: What have we learned from proteomic studies?

Crèvecoeur

Rondas

Mathieu

et al. 2015

Proteomics Clinical Apps

View full text Add to dashboard Cite

show abstract

“…Similarly, serological proteome analysis demonstrated that autoantibodies to Rab GDP dissociation inhibitor beta (GDIb) are present in 22%–32% of subjects with T1D, depending on the format of the antigen probe [34]. In this study, sera from patients previously demonstrated to be negative for the four established autoantigens were used to probe Western blots of an abbreviated human β cell proteome that had been resolved via 2D electrophoresis, and immuno-reactive proteins identified by mass spectrometry.…”

Section: Novel Autoantigens In T1dmentioning

confidence: 99%

Novel Diabetes Autoantibodies and Prediction of Type 1 Diabetes

Wenzlau

Hutton

2013

Curr Diab Rep

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Autoantibodies are currently the most robust biomarkers of type 1 diabetes and are frequently used to establish entry criteria for the participation of genetically at-risk individuals in secondary prevention/intervention clinical trials. Since their original description almost 40 years ago, considerable efforts have been devoted toward identifying the precise molecular targets that are recognized. Such information can have significant benefit for developing improved metrics for identifying/stratifying of at-risk subjects, developing potential therapeutic targets, and advancing understanding of the pathophysiology of the disease. Currently, four major molecular targets ([pro]insulin, GAD65, IA-2, and ZnT8) have been confirmed, with approximately 94% of all subjects with a clinical diagnosis of type 1 diabetes expressing autoantibodies to at least one of these molecules at clinical onset. In this review, we summarize some of the salient properties of these targets that might contribute to their autoantigenicity and methods that have been used in attempts to identify new components of the humoral autoresponse.

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Proteomics and Islet Research

Ahmed

2014

Islets of Langerhans

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Serological Proteome Analysis (SERPA) as a tool for the identification of new candidate autoantigens in type 1 diabetes

Cited by 32 publications

References 35 publications

The beta‐cell in type 1 diabetes: What have we learned from proteomic studies?

The beta‐cell in type 1 diabetes: What have we learned from proteomic studies?

Novel Diabetes Autoantibodies and Prediction of Type 1 Diabetes

Proteomics and Islet Research

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