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Diagnosis of Alzheimer's Disease Based on Disease-Specific Autoantibody Profiles

ABSTRACT: Alzheimer's Disease (AD) and Non-Demented Control (NDC) human sera were probed onto human protein microarrays in order to identify differentially expressed autoantibody biomarkers that could be used as diagnostic indicators.

ORGANISM(S): Homo sapiens

PROVIDER: GSE29676 | GEO | 2011/07/13

SECONDARY ACCESSION(S): PRJNA141195

REPOSITORIES: GEO

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Diagnosis of Alzheimer's Disease Based on Disease-Specific Autoantibody Profiles

Project description:Alzheimer's Disease (AD) and Non-Demented Control (NDC) human sera were probed onto human protein microarrays in order to identify differentially expressed autoantibody biomarkers that could be used as diagnostic indicators. In the study presented here, 50 AD and 40 NDC human serum samples were probed onto human protein microarrays in order to identify differentially expressed autoantibodies. Microarray data was analyzed using several statistical significance algorithms, and autoantibodies that demonstrated significant group prevelance were selected as biomarkers of disease. Prediction classification analysis tested the diagnostic efficacy of the identified biomarkers; and differentiation of AD samples from other neurodegeneratively-diseased and non-neurodegeneratively-diseased controls (Parkinson's disease and breast cancer, respectively) confirmed their specificity.

2011-07-12 | E-GEOD-29676 | biostudies-arrayexpress

Diagnosis of Parkinson's Disease Based on Disease-Specific Autoantibody Profiles

2012-02-27 | GSE29654 | GEO

Diagnosis of Parkinson's Disease Based on Disease-Specific Autoantibody Profiles

Project description:Parkinson's Disease (PD) and Non-Demented Control (NDC) human sera were probed onto human protein microarrays in order to identify differentially expressed autoantibody biomarkers that could be used as diagnostic indicators. In the study presented here, 29 PD and 40 NDC human serum samples were probed onto human protein microarrays in order to identify differentially expressed autoantibodies. Microarray data was analyzed using several statistical significance algorithms, and autoantibodies that demonstrated significant group prevelance were selected as biomarkers of disease. Prediction classification analysis tested the diagnostic efficacy of the identified biomarkers; and differentiation of PD samples from other neurodegeneratively-diseased and non-neurodegeneratively-diseased controls (Alzheimer's disease, multiple sclerosis, and breast cancer) confirmed their specificity.

2012-02-27 | E-GEOD-29654 | biostudies-arrayexpress

Detection of Alzheimer’s Disease at Mild Cognitive Impairment and Disease Progression Using Autoantibodies as Blood-based Biomarkers

Project description:Human serum samples from Alzheimer's disease driven mild cognitive impairment and non-diseased controls were probed onto human protein microarrays in order to identify differentially expressed autoantibody biomarkers that could be used as diagnostic indicators. Other neurodegenerative and non-neurodegenerative diseases were also used to help measure the specificity of the selected biomarkers.

2016-05-03 | GSE74763 | GEO

Diagnosis of Early-Stage Parkinson's Disease Using Autoantibodies as Blood-based Biomarkers

Project description:Human serum samples from early-stage Parkinson's disease and non-diseased controls were probed onto human protein microarrays in order to identify differentially expressed autoantibody biomarkers that could be used as diagnostic indicators. Other neurodegenerative and non-neurodegenerative diseases were also used to help measure the specificity of the selected biomarkers.

2015-09-30 | GSE62283 | GEO

Alzheimer's disease

Project description:Alzheimer's disease

| PRJNA683625 | ENA

Cl-amidine treatment reduces autoantibody response in collagen-induced arthritis

Project description:Cl-amidine treatment reduces autoantibody responses in CIA. Sera were collected from Cl-amidine and control treated mice, and autoantibodies in these samples were profiled using Synovial Antigen Arrays. Significance Analysis of Microarrays (SAM) was used to analyze the antigen array datasets, and identified 8 antigens with a significant difference in autoantibody reactivity (false discovery rate (q) < 5%). Hierarchical clustering was then performed to elucidate the relationships between the autoantibody profiles. The Cl-amidine treated mice clustered together and exhibited lower autoantibody titers against all of the 8 antigens identified by SAM, including autoantibody reactivity to native epitopes derived from cartilage as well as citrulline-modified filaggrin peptides.

2010-08-21 | GSE23731 | GEO

Cerebellum Alzheimer's Disease

Project description:Ion channel splice array data from cerebellum brain tissue samples collected from Alzheimer's disease patients. Temporal cortex (Alzheimer's disease affected brain tissue structure) and cerebellum (Alzheimer's disease unaffected brain tissue structure) samples from control subjects were compared to temporal cortex and cerebellum of patients with Alzheimer's disease.

2010-06-11 | E-GEOD-6777 | biostudies-arrayexpress

Temporal Cortex Alzheimer's Disease

Project description:Ion channel splice array data from temporal cortex brain tissue samples collected from Alzheimer's disease patients. Temporal cortex (Alzheimer's disease affected brain tissue structure) and cerebellum (Alzheimer's disease unaffected brain tissue structure) samples from control subjects were compared to temporal cortex and cerebellum of patients with Alzheimer's disease.

2010-06-11 | E-GEOD-6775 | biostudies-arrayexpress

SERPA: Autoantibody profiling in POAG

Project description:Glaucoma is the leading cause of irreversible blindness worldwide. An early diagnosis of the disease is crucial for treatment success. Mechanisms behind glaucoma pathogenesis are not completely understood, but disease related alterations in the serological autoantibody profile indicate an immunologic component. These changes in immunoreactivity may serve as potential biomarkers. Therefore, a serological proteome analysis (SERPA) approach was used to identify novel autoantibody biomarker candidates in primary open angle glaucoma. Autoantibodies in individual sera samples of glaucoma patients and control were analysed by serological proteome analysis (SERPA) using porcine trabecular meshwork (TM) tissue lysates as antigen source. Immunoblot spot intensities were computed by “Delta2D” (Decodon) and spots of interest were matched with preparative 2DE gels and identified by mass spectrometry to identify the potential autoantigens.

2019-02-21 | PXD011752 | Pride

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