ArticleMolecular medicine reports2018
Detection of epitopes in systemic lupus erythematosus using peptide microarray.
Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- A deep learning model for predicting systemic lupus erythematosus-associated epitopes.BMC medical informatics and decision making · 2025Article
- Applications of Peptide Microarrays in Autoantibody, Infection, and Cancer Detection.Methods in molecular biology (Clifton, N.J.) · 2023Review
- Peptide Microarrays for Studying Autoantibodies in Neurological Disease.Methods in molecular biology (Clifton, N.J.) · 2023Article
- The Use of Peptides in Veterinary Serodiagnosis of Infectious Diseases: A Review.Veterinary sciences · 2022Review
- Protein-Based Immunome Wide Association Studies (PIWAS) for the Discovery of Significant Disease-Associated Antigens.Frontiers in immunology · 2021Article
- Applications of Protein Microarrays in Biomarker Discovery for Autoimmune Diseases.Frontiers in immunology · 2021Review
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Systemic lupus erythematosus (SLE) is a common autoimmune disease, which features the secretion of antibodies directed against autoantigens in vivo. In the present study, a peptide microarray was developed to detect the epitopes recognized by autoantibodies in patients with SLE for an effective method of diagnosis. SLE‑associated epitopes in 14 autoantigens were predicted using the antigenic epitope prediction software DNA star. Peptides were synthesized based on the predicted antigenic epitopes and immobilized on a slide surface and developed into a peptide microarray. Using this peptide microarray the autoantibodies in 120 patients with SLE and 110 healthy subjects were detected. A total of 73 potential antigenic epitopes in 14 autoantigens were predicted and screened. The peptide microarray based on the 73 epitopes was used to detect the autoantibodies in patients with SLE. A total of 14 epitopes with potential diagnostic values were screened out. The sensitivity and specificity of the 14 epitopes for the diagnosis of SLE were 71.6 and 85.8%, respectively. An optimal set of epitopes for SLE diagnosis was obtained. As individual patients had a specific autoantibody spectrum it was possible to detect autoantibodies in SLE and perform the diagnosis of SLE using the peptide microarray.
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