﻿<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Maad Rayan Publishing Company</PublisherName>
      <JournalTitle>Biomedicine Advances</JournalTitle>
      <Issn>3080-0382</Issn>
      <Volume>2</Volume>
      <Issue>4</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month>10</Month>
        <DAY>20</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>Development of a sensitive, reliable, and cost-effective sandwich ELISA for quantitative measurement of human hemoglobin A2 in beta-thalassemia diagnosis</ArticleTitle>
    <FirstPage>195</FirstPage>
    <LastPage>199</LastPage>
    <ELocationID EIdType="doi">10.34172/bma.35</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Safura</FirstName>
        <LastName>Pakizehkar</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-8935-4686</Identifier>
      </Author>
      <Author>
        <FirstName>Samaneh</FirstName>
        <LastName>Hosseinzadeh</LastName>
      </Author>
      <Author>
        <FirstName>Seyedeh Adeleh</FirstName>
        <LastName>Razavi</LastName>
      </Author>
      <Author>
        <FirstName>Hoda</FirstName>
        <LastName>Gholab Ghadaksaz</LastName>
      </Author>
      <Author>
        <FirstName>Laleh</FirstName>
        <LastName>Hoghooghi Rad</LastName>
      </Author>
      <Author>
        <FirstName>Mehdi</FirstName>
        <LastName>Hedayati</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0001-5816-775X</Identifier>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.34172/bma.35</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2025</Year>
        <Month>06</Month>
        <Day>07</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2025</Year>
        <Month>08</Month>
        <Day>02</Day>
      </PubDate>
    </History>
    <Abstract>Introduction: Accurate quantification of hemoglobin A2 (HbA2) is essential for the diagnosis and monitoring of beta-thalassemia and related hemoglobinopathies. Existing methods, such as HPLC and capillary electrophoresis (CE), are effective but require expensive instrumentation. We developed and validated a cost-effective and sensitive sandwich ELISA for measuring HbA2 levels in human blood samples. Methods: A pair of specific monoclonal antibodies against distinct epitopes of HbA2 was used to establish a sandwich ELISA. The assay was optimized for analytical performance, including sensitivity, specificity, linearity, and intra-/inter-assay precision. Validation was conducted using both standard recombinant HbA2 and clinical samples from healthy donors and confirmed beta-thalassemia patients. Findings: The assay demonstrated a lower limit of detection (LOD) of 0.1% and a quantification range of 0.1–10%. Coefficients of variation (CVs) were below 10% across all concentrations tested. HbA2 levels in beta-thalassemia patients were significantly elevated (P&lt;0.001) compared to healthy controls, confirming the assay’s diagnostic potential. Conclusion: This optimized sandwich ELISA offers a reliable, affordable, and scalable alternative for quantifying HbA2 in clinical laboratories, particularly in resource-limited settings. Its high specificity and reproducibility make it a promising tool for the diagnosis and follow-up of beta-thalassemia.  </Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Hemoglobin A2</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Sandwich ELISA</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Beta-thalassemia</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Immunodiagnostics</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Biomarker quantification</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>