Cargando…

A Novel Method to Identify Autoantibodies against Putative Target Proteins in Serum from beta-Thalassemia Major: A Pilot Study

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sumera, Afshan, Anuar, Nur Diana, Radhakrishnan, Ammu Kutty, Ibrahim, Hishamshah, Rutt, Nurul H., Ismail, Nur Hafiza, Tan, Ti-Myen, Baba, Abdul Aziz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277850/
https://www.ncbi.nlm.nih.gov/pubmed/32357536
http://dx.doi.org/10.3390/biomedicines8050097
_version_ 1783543214728282112
author Sumera, Afshan
Anuar, Nur Diana
Radhakrishnan, Ammu Kutty
Ibrahim, Hishamshah
Rutt, Nurul H.
Ismail, Nur Hafiza
Tan, Ti-Myen
Baba, Abdul Aziz
author_facet Sumera, Afshan
Anuar, Nur Diana
Radhakrishnan, Ammu Kutty
Ibrahim, Hishamshah
Rutt, Nurul H.
Ismail, Nur Hafiza
Tan, Ti-Myen
Baba, Abdul Aziz
author_sort Sumera, Afshan
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7277850
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-72778502020-06-12 A Novel Method to Identify Autoantibodies against Putative Target Proteins in Serum from beta-Thalassemia Major: A Pilot Study Sumera, Afshan Anuar, Nur Diana Radhakrishnan, Ammu Kutty Ibrahim, Hishamshah Rutt, Nurul H. Ismail, Nur Hafiza Tan, Ti-Myen Baba, Abdul Aziz Biomedicines Article 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. MDPI 2020-04-26 /pmc/articles/PMC7277850/ /pubmed/32357536 http://dx.doi.org/10.3390/biomedicines8050097 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sumera, Afshan
Anuar, Nur Diana
Radhakrishnan, Ammu Kutty
Ibrahim, Hishamshah
Rutt, Nurul H.
Ismail, Nur Hafiza
Tan, Ti-Myen
Baba, Abdul Aziz
A Novel Method to Identify Autoantibodies against Putative Target Proteins in Serum from beta-Thalassemia Major: A Pilot Study
title A Novel Method to Identify Autoantibodies against Putative Target Proteins in Serum from beta-Thalassemia Major: A Pilot Study
title_full A Novel Method to Identify Autoantibodies against Putative Target Proteins in Serum from beta-Thalassemia Major: A Pilot Study
title_fullStr A Novel Method to Identify Autoantibodies against Putative Target Proteins in Serum from beta-Thalassemia Major: A Pilot Study
title_full_unstemmed A Novel Method to Identify Autoantibodies against Putative Target Proteins in Serum from beta-Thalassemia Major: A Pilot Study
title_short A Novel Method to Identify Autoantibodies against Putative Target Proteins in Serum from beta-Thalassemia Major: A Pilot Study
title_sort novel method to identify autoantibodies against putative target proteins in serum from beta-thalassemia major: a pilot study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277850/
https://www.ncbi.nlm.nih.gov/pubmed/32357536
http://dx.doi.org/10.3390/biomedicines8050097
work_keys_str_mv AT sumeraafshan anovelmethodtoidentifyautoantibodiesagainstputativetargetproteinsinserumfrombetathalassemiamajorapilotstudy
AT anuarnurdiana anovelmethodtoidentifyautoantibodiesagainstputativetargetproteinsinserumfrombetathalassemiamajorapilotstudy
AT radhakrishnanammukutty anovelmethodtoidentifyautoantibodiesagainstputativetargetproteinsinserumfrombetathalassemiamajorapilotstudy
AT ibrahimhishamshah anovelmethodtoidentifyautoantibodiesagainstputativetargetproteinsinserumfrombetathalassemiamajorapilotstudy
AT ruttnurulh anovelmethodtoidentifyautoantibodiesagainstputativetargetproteinsinserumfrombetathalassemiamajorapilotstudy
AT ismailnurhafiza anovelmethodtoidentifyautoantibodiesagainstputativetargetproteinsinserumfrombetathalassemiamajorapilotstudy
AT tantimyen anovelmethodtoidentifyautoantibodiesagainstputativetargetproteinsinserumfrombetathalassemiamajorapilotstudy
AT babaabdulaziz anovelmethodtoidentifyautoantibodiesagainstputativetargetproteinsinserumfrombetathalassemiamajorapilotstudy
AT sumeraafshan novelmethodtoidentifyautoantibodiesagainstputativetargetproteinsinserumfrombetathalassemiamajorapilotstudy
AT anuarnurdiana novelmethodtoidentifyautoantibodiesagainstputativetargetproteinsinserumfrombetathalassemiamajorapilotstudy
AT radhakrishnanammukutty novelmethodtoidentifyautoantibodiesagainstputativetargetproteinsinserumfrombetathalassemiamajorapilotstudy
AT ibrahimhishamshah novelmethodtoidentifyautoantibodiesagainstputativetargetproteinsinserumfrombetathalassemiamajorapilotstudy
AT ruttnurulh novelmethodtoidentifyautoantibodiesagainstputativetargetproteinsinserumfrombetathalassemiamajorapilotstudy
AT ismailnurhafiza novelmethodtoidentifyautoantibodiesagainstputativetargetproteinsinserumfrombetathalassemiamajorapilotstudy
AT tantimyen novelmethodtoidentifyautoantibodiesagainstputativetargetproteinsinserumfrombetathalassemiamajorapilotstudy
AT babaabdulaziz novelmethodtoidentifyautoantibodiesagainstputativetargetproteinsinserumfrombetathalassemiamajorapilotstudy