ArticleBiomedicines2020
A Novel Method to Identify Autoantibodies against Putative Target Proteins in Serum from beta-Thalassemia Major: A Pilot Study.
Article in Biomedicines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Identification of autoantibodies as potential non-invasive biomarkers for intrahepatic cholangiocarcinoma.Scientific reports · 2024Article
- The role of pathogens in diabetes pathogenesis and the potential of immunoproteomics as a diagnostic and prognostic tool.Frontiers in microbiology · 2022Review
- Identification of circulating biomarkers for differentiating patients with papillary thyroid cancers from benign thyroid tumors.Journal of endocrinological investigation · 2021Article
- Identification of novel autoantibodies in ascites of relapsed paclitaxel-resistant gastric cancer with peritoneal metastasis using immunome protein microarrays and proteomics.Cancer biomarkers : section A of Disease markers · 2021Article
- Identification of Novel Native Autoantigens in Rheumatoid Arthritis.Biomedicines · 2020Article
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Abnormal immune reactivity in patients with beta-thalassemia (beta-thal) major can be associated with poor prognosis. Immunome protein-array analysis represents a powerful approach to identify novel biomarkers. The Sengenics Immunome Protein Array platform was used for high-throughput quantification of autoantibodies in 12 serum samples collected from nine beta-thal major patients and three non-thalassemia controls, which were run together with two pooled normal sera (Sengenics Internal QC samples). To obtain more accurate and reliable results, the evaluation of the biological relevance of the shortlisted biomarkers was analyzed using an Open Target Platform online database. Elevated autoantibodies directed against 23 autoantigens on the immunome array were identified and analyzed using a penetrance fold change-based bioinformatics method. Understanding the autoantibody profile of beta-thal major patients would help to further understand the pathogenesis of the disease. The identified autoantigens may serve as potential biomarkers for the prognosis of beta-thal major.
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Registered trials
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