﻿<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Nickan Research Institute</PublisherName>
      <JournalTitle>Journal of Renal Endocrinology</JournalTitle>
      <Issn>2423-6438</Issn>
      <Volume>9</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2023</Year>
        <Month>01</Month>
        <DAY>01</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>Biomarkers in IgA nephropathy; an update to recent data</ArticleTitle>
    <FirstPage>e25120</FirstPage>
    <LastPage>e25120</LastPage>
    <ELocationID EIdType="doi">10.34172/jre.2023.25120</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Rokhsare</FirstName>
        <LastName>Zareie</LastName>
      </Author>
      <Author>
        <FirstName>Mahsa</FirstName>
        <LastName>Asadollahi Hamedani</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-7130-1201</Identifier>
      </Author>
      <Author>
        <FirstName>Reyhaneh</FirstName>
        <LastName>Sadeghian</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0003-2974-7653</Identifier>
      </Author>
      <Author>
        <FirstName>Yaser</FirstName>
        <LastName>Khanchemehr</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-3098-9329</Identifier>
      </Author>
      <Author>
        <FirstName>Mahboubeh</FirstName>
        <LastName>Belali Kharaji</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0001-7592-7159</Identifier>
      </Author>
      <Author>
        <FirstName>Elahe</FirstName>
        <LastName>Zaremoghadam</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-0550-0122</Identifier>
      </Author>
      <Author>
        <FirstName>Negar</FirstName>
        <LastName>Shahkarami</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0001-8530-895X</Identifier>
      </Author>
      <Author>
        <FirstName>Atena</FirstName>
        <LastName>Samareh Fekri</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-9664-5924</Identifier>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.34172/jre.2023.25120</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2023</Year>
        <Month>03</Month>
        <Day>31</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2023</Year>
        <Month>06</Month>
        <Day>26</Day>
      </PubDate>
    </History>
    <Abstract>Biomarkers are molecules that can be measured in the body and can reflect disease activity or progression. They can be used to diagnose and monitor disease, predict treatment response, and identify potential therapeutic targets. Several types of biomarkers have been studied in the context of IgA nephropathy, including protein, gene expression, epigenetic, and microRNA biomarkers. Biomarkers have the potential to improve the accuracy and specificity of the diagnosis of IgA nephropathy and predict the disease progression and response to treatment. However, further studies are needed to validate their diagnostic value in larger cohorts of patients and to integrate them into clinical practice. The development of multi-omics approaches that combine different types of biomarkers may provide a more comprehensive understanding of the disease pathogenesis and potential treatments.</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">IgA nephropathy</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">End-stage renal disease</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Chronic kidney disease</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Hematuria</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Biomarkers</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Diabetic nephropathies</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>