The Importance of Sex Stratification in Autoimmune Disease Biomarker Research: A Systematic Review
Author(s) -
Kristy Purnamawati,
Jamie Ann-Hui Ong,
Siddharth Deshpande,
Warren K. Y. Tan,
Nihar Masurkar,
Jackson Kwee Low,
Chester L. Drum
Publication year - 2018
Publication title -
frontiers in immunology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.646
H-Index - 124
ISSN - 1664-3224
DOI - 10.3389/fimmu.2018.01208
Subject(s) - biomarker discovery , biomarker , disease , medicine , ankylosing spondylitis , bench to bedside , immune system , translational research , bioinformatics , immunology , computational biology , biology , pathology , proteomics , medical physics , biochemistry , gene
The immune system is highly dynamic and regulated by many baseline characteristic factors. As such, significant variability may exist among different patient groups suffering from the same autoimmune disease (AD). However, contemporary research practices tend to take the reductionist aggregate approach: they do not segment AD patients before embarking on biomarker discovery. This approach has been productive: many novel AD biomarkers have recently been discovered. Yet, subsequent validation studies of these biomarkers tend to suffer from a lack of specificity, sensitivity, and reproducibility which hamper their translation for clinical use. To enhance reproducibility in validation studies, an optimal discovery-phase study design is paramount: one which takes into account different parameters affecting the immune system biology. In this systematic review, we highlight need for stratification in one such parameter, i.e., sex stratification. We will first explore sex differences in immune system biology and AD prevalence, followed by reported sex-bias in the clinical phenotypes of two ADs—one which more commonly affects females: systemic lupus erythematosus, and one which more commonly affects males: ankylosing spondylitis. The practice of sex stratification in biomarker research may not only advance the discovery of sex-specific AD biomarkers but more importantly, promote reproducibility in subsequent validation studies, thus easing the translation of these novel biomarkers from bench to bedside to improve AD diagnosis. In addition, such practice will also promote deeper understanding for differential AD pathophysiology in males and females, which will be useful for the development of more effective interventions for each sex type.
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