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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2022.829111</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Mucopolysaccharidosis Type IVA: Extracellular Matrix Biomarkers in Cardiovascular Disease</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Montavon</surname> <given-names>Brittany</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Winter</surname> <given-names>Linda E.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1768448/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Gan</surname> <given-names>Qi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1768522/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Arasteh</surname> <given-names>Amirhossein</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1768916/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Monta&#x00F1;o</surname> <given-names>Adriana M.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1305569/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Pediatrics, School of Medicine, Saint Louis University</institution>, <addr-line>St. Louis, MO</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>School of Medicine, Saint Louis University</institution>, <addr-line>St. Louis, MO</addr-line>, <country>United States</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Biochemistry and Molecular Biology, School of Medicine, Saint Louis University</institution>, <addr-line>St. Louis, MO</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Karolina M. Stepien, Salford Royal NHS Foundation Trust, United Kingdom</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Raymond Wang, Children&#x2019;s Hospital of Orange County, United States; Shunji Tomatsu, Alfred I. duPont Hospital for Children, United States; Gregory M. Pastores, Mater Misericordiae University Hospital, Ireland</p></fn>
<corresp id="c001">&#x002A;Correspondence: Adriana M. Monta&#x00F1;o, <email>adriana.montano@health.slu.edu</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Cardiovascular Genetics and Systems Medicine, a section of the journal Frontiers in Cardiovascular Medicine</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>829111</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>12</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Montavon, Winter, Gan, Arasteh and Monta&#x00F1;o.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Montavon, Winter, Gan, Arasteh and Monta&#x00F1;o</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Cardiovascular disease (CVD) in Mucopolysaccharidosis Type IVA (Morquio A), signified by valvular disease and cardiac hypertrophy, is the second leading cause of death and remains untouched by current therapies. Enzyme replacement therapy (ERT) is the gold-standard treatment for MPS disorders including Morquio A. Early administration of ERT improves outcomes of patients from childhood to adulthood while posing new challenges including prognosis of CVD and ERT&#x2019;s negligible effect on cardiovascular health. Thus, having accurate biomarkers for CVD could be critical. Here we show that cathepsin S (CTSS) and elastin (ELN) can be used as biomarkers of extracellular matrix remodeling in Morquio A disease. We found in a cohort of 54 treatment na&#x00EF;ve Morquio A patients and 74 normal controls that CTSS shows promising attributes as a biomarker in young Morquio A children. On the other hand, ELN shows promising attributes as a biomarker in adolescent and adult Morquio A. Plasma/urine keratan sulfate (KS), and urinary glycosaminoglycan (GAG) levels were significantly higher in Morquio A patients (<italic>p</italic> &#x003C; 0.001) which decreased with age of patients. CTSS levels did not correlate with patients&#x2019; phenotypic severity but differed significantly between patients (median range 5.45&#x2013;8.52 ng/mL) and normal controls (median range 9.61&#x2013;15.9 ng/mL; <italic>p</italic> &#x003C; 0.001). We also studied &#x03B1; -2-macroglobulin (A2M), C-reactive protein (CRP), and circulating vascular cell adhesion molecule-1 (sVCAM-1) in a subset of samples to understand the relation between ECM biomarkers and the severity of CVD in Morquio A patients. Our experiments revealed that CRP and sVCAM-1 levels were lower in Morquio A patients compared to normal controls. We also observed a strong inverse correlation between urine/plasma KS and CRP (<italic>p</italic> = 0.013 and <italic>p</italic> = 0.022, respectively) in Morquio A patients as well as a moderate correlation between sVCAM-1 and CTSS in Morquio A patients at all ages (<italic>p</italic> = 0.03). As the first study to date investigating CTSS and ELN levels in Morquio A patients and in the normal population, our results establish a starting point for more elaborate studies in larger populations to understand how CTSS and ELN levels correlate with Morquio A severity.</p>
</abstract>
<kwd-group>
<kwd>Morquio A</kwd>
<kwd>MPS IVA</kwd>
<kwd>cardiovascular disease</kwd>
<kwd>biomarkers</kwd>
<kwd>cathepsin S</kwd>
<kwd>elastin</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="92"/>
<page-count count="18"/>
<word-count count="10165"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Mucopolysaccharidosis IVA (MPS IVA; Morquio A syndrome) is an inherited, autosomal recessive disease caused by a deficiency of N-acetylgalactosamine-6-sulfate sulfatase (GALNS), which results in excessive lysosomal storage of keratan sulfate (KS) and chondroitin 6-sulfate (C6S) in many tissues and organs. This accumulation leads to chronic and progressive clinical findings including but not limited to systemic skeletal dysplasia, joint abnormalities, short stature, hearing and vision loss, coarse facial features, valvular heart disease, and pulmonary compromise (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). The extent of GALNS deficiency is highly variable thus resulting in a heterogenous clinical presentation (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Early diagnosis of Morquio A is important to employ disease modifying treatments to slow progression as no cure exists (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>Currently available therapies for Morquio A include enzyme replacement therapy (ERT) with recombinant human GALNS enzyme, hematopoietic stem cell therapy (HSCT), and orthopedic surgeries. ERT is the most widely used therapeutic option in many lysosomal storage disorders including Morquio A. The enzyme, Elosulfase alfa, works within lysosomes to catabolize the glycosaminoglycans (GAGs) that have accumulated within. ERT has shown clinical improvement in somatic manifestations, activities of daily living, and quality of life (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). It has a low mortality risk with no limitations on use, however, the enzymes have a short half-life with rapid clearance from circulation resulting in poor delivery to bone and avascular tissues such as cartilage and cornea even when started at a young age. Other limitations include the need for weekly treatments, hypersensitivity reactions, and high cost (<xref ref-type="bibr" rid="B1">1</xref>). Another treatment option is HSCT which is a one-time permanent treatment allowing continuous production of the enzyme. HSCT has shown improvement in pulmonary function, activities of daily living, bone mineral density, cardiovascular involvement, and reduction in number of surgical interventions (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). However, it has many health and age limitations, requires a matched donor, carries a high risk of mortality and complications, and has limited effect on bone and cartilage (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Morquio A patients often develop severe skeletal dysplasia requiring multiple orthopedic surgical interventions in the upper cervical spine and lower extremities as well as tracheal obstruction surgery. ERT and HSCT have limited to no impact on skeletal dysplasia (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>Although these therapeutic treatments have extended life expectancy for Morquio A patients by attenuating disease progression, they have shown only a limited effect on heart disease which is the second leading cause of death in this population (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Cardiovascular disease (CVD) in these patients emerges silently and contributes significantly to early mortality (<xref ref-type="bibr" rid="B17">17</xref>). Cardiovascular involvement has been reported in Morquio patients as early as 3.6 months of age with subsequent progression of the disease (<xref ref-type="bibr" rid="B18">18</xref>). A wide range of cardiac findings have been associated with Morquio A including mitral and/or aortic insufficiency, aortic stenosis, tricuspid regurgitation, thickened interventricular septum, hypertrophic cardiomyopathy, and aortic root dilatation (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>). Furthermore, post-mortem histopathology on a 20-year-old patient has shown valvular infiltration by foam cells and macrophages along with GAG deposition (particularly C6S), and fragmented, attenuated elastic fibers in the aortic intima and media. These findings imply aortic intima thickening, atherosclerotic plaques, and aortic valve hypertrophy (<xref ref-type="bibr" rid="B21">21</xref>). A recent study of 12 Morquio A patients has revealed increased carotid intima media thickness and carotid hyperelasticity. These findings may be explained by alteration of arterial elasticity by GAG bearing proteoglycans (<xref ref-type="bibr" rid="B16">16</xref>). Limited therapeutic treatments exist for Morquio A that can address the CVD. ERT has poor delivery of the enzyme to cardiac valves and the aorta because of its short half-life in circulation, effect on cartilaginous tissues, and low density of mannose 6 phosphate receptors (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Another explanation of the slight therapeutic efficacy of ERT in heart has been attributed historically to the &#x201C;avascular&#x201D; nature of heart valves, which remains to be a debatable topic that needs further investigation in Morquio A patients (<xref ref-type="bibr" rid="B23">23</xref>). ERT studies with short term echocardiographic follow up have shown only a negligible therapeutic effect on cardiovascular findings (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B24">24</xref>). The incidence of cardiac surgery in Morquio A patients is low (2%) compared to other surgeries. However, the most common cardiac surgery in adult Morquio A patients is aortic valve replacement (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>). Thus, development of a therapy to ameliorate CVD could be lifesaving in Morquio A patients.</p>
<p>Attenuated and fragmented elastin fibrils have been found not only in the aortic intima of a Morquio A patient (<xref ref-type="bibr" rid="B21">21</xref>) but also in patients and animal models of other MPS types, such as MPS I, VI, VII (<xref ref-type="bibr" rid="B28">28</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>), and IVA (unpublished). Elastin fragmentation is the result of proteolysis by cathepsins and the matrix metalloproteinases secreted by GAG-activated macrophages (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B31">31</xref>). It results in acquired CVD including atherosclerosis, calcification, and aneurysms. Elastic fiber degradation allows infiltration of lipids and immune cells into the aortic wall for plaque formation and rupture. The products from degradation further enhance atherogenesis. Calcification in the arterial medial wall and aneurysmal formation have also been linked to elastic fiber degradation and fragmentation. Fragmented elastic fibers may be more susceptible to protease digestion leading to aneurysmal dilation and stimulation and signaling of cytokine and inflammatory cell infiltration (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>Elastin degradation leads to an irreversible and difficult to halt cascade of arterial remodeling, and cytokine and inflammatory signaling pathway activation. Damaged and degraded elastic fibers are generally not repaired due to the limited timeframe of elastin synthesis (<xref ref-type="bibr" rid="B32">32</xref>). Elastin is a highly abundant hydrophobic extracellular matrix (ECM) protein within the arterial media, and it is arranged in tightly coiled laminae. It is responsible for the resilience and elasticity of large arteries allowing them to withstand blood pressure oscillations throughout the cardiac cycle (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Elastic fibers can be easily degraded by specific proteases called elastases. One of these elastases, cathepsin S, is a lysosomal cysteine protease highly expressed in GAG-bearing macrophages (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B34">34</xref>). Secreted cathepsin S at the basal membrane of blood vessels cleaves several ECM proteins including laminin, collagen, and preferentially elastin which generates bioactive elastin peptides (<xref ref-type="bibr" rid="B35">35</xref>). This potent elastolytic and collagenolytic activity has been linked to vascular inflammation and calcification resulting in the acquired CVD atherosclerosis and aneurysmal formation (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Although protein levels and/or gene expression of elastin and cathepsin S have not been explored in Morquio A patients, we have observed dysregulation with age (unpublished) in Morquio A mice. Thus elastin and cathepsin S may be potential biomarkers to predict the severity of heart disease and phenotype of this patient population.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Study Populations</title>
<p>Plasma and urine samples of Morquio A patients were obtained from a de-identified repository located at Saint Louis University. The Institutional Review Board (IRB) at Saint Louis University determined that our human subjects research was exempt from a formal IRB submission due to the lack of patient identifiers or protected health information (PHI). Morquio A patients from the de-identified repository were previously diagnosed based on clinical phenotype, elevated KS in blood, elevated GAG levels in urine, and by having reduced GALNS enzyme activity below 5% of the normal level in leukocytes and/or by having two or more pathogenic mutations in the GALNS gene. Morquio A patients were classified by phenotype as mild or severe based on gene mutation effects and by patient height (severe phenotype with a lower 90th centile height isopleth in Morquio A growth charts) (<xref ref-type="bibr" rid="B2">2</xref>). Mutation effects were determined by <italic>in vitro</italic> assays (<xref ref-type="bibr" rid="B37">37</xref>&#x2013;<xref ref-type="bibr" rid="B39">39</xref>) and by using the PolyPhen-2 program (<xref ref-type="bibr" rid="B40">40</xref>). Age-matched normal controls were obtained from a de-identified repository from Saint Louis University and Cardinal Glennon Children&#x2019;s Hospital.</p>
</sec>
<sec id="S2.SS2">
<title>Measurement of Glycosaminoglycans</title>
<p>Concentrations of urinary and plasma GAGs and KS were measured by tandem mass spectroscopy as described elsewhere (<xref ref-type="bibr" rid="B16">16</xref>). Briefly, the chromatographic system consists of an HP1100 system (Agilent Technologies) and a Hypercarb column (Thermo Electron). The API-4000 mass spectrometer (Applied Biosystems) was equipped with a turbo ionspray ion source. Disaccharides of keratan, heparan, dermatan sulfate were used as standards [Gal&#x00DF;1,4GlcNAc(6S), &#x0394;DiHS-0S, &#x0394;DiHS-NS, &#x0394;Di-4S, &#x0394;Di-6S (Seikagaku). Chondrosine was used as internal standard (Glycosyn). Urine or plasma was centrifuged, and the supernatants were digested overnight with 1 mU of chondroitinase b, 1mU heparitinase, and 1mU keratanase II (Seikagaku). Recovered samples were analyzed by the LC-MS/MS system and normalized by creatinine concentration in urine. Total GAGs refer to total glycosaminoglycans or the additive sum of all the GAGs measured (HS, DS and KS). Disaccharide GAG concentrations were calculated by Analyst 1.5.1 software (AB SCIEX). Each sample was measured in triplicate with three injections for each sample.</p>
</sec>
<sec id="S2.SS3">
<title>Investigational Biomarkers</title>
<p>Plasma concentrations of cathepsin S were measured in triplicate by enzyme-linked immunosorbent assay (ELISA) (R&#x0026;D systems) after diluting the samples 1:100. Plasma concentrations of elastin were determined in duplicate by ELISA (Abcam) after diluting the samples 1:4 following the manufacturer&#x2019;s instructions. C-reactive protein (CRP), &#x03B1;-2-macroglobulin (A2M), and circulating vascular cell adhesion molecule-1 (sVCAM-1) were detected in triplicates from plasma samples by LUMINEX technology, using a Millipore Milliplex kit according to the manufacturer&#x2019;s instructions.</p>
</sec>
<sec id="S2.SS4">
<title>Statistical Analysis</title>
<p>Data was expressed as the median values and interquartile range. <italic>P</italic>-values were determined by Kruskal-Wallis test, Mann&#x2013;Whitney <italic>U</italic>-test, Chi-square test, or One-Way ANOVA where appropriate. Multiple comparisons were corrected using &#x0160;id&#x00E1;k&#x2019;<italic>s</italic>-test. Pearson correlations coefficients were used to assess linear correlations between age, KS, GAG, cathepsin S, elastin, CRP, A2M, and sVCAM-1 levels. Receiver operating characteristic (ROC) analyses of plasma cathepsin S and elastin levels were performed to examine the sensitivity and specificity of plasma cathepsin S and elastin levels as biomarkers for CVD in all age groups. <italic>P</italic>-values &#x003C;0.05 were considered statistically significant. Statistical analyses were performed on Prism 9.0 (GraphPad, San Diego, CA, United States).</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Subject Characteristics and Comparisons of Extracellular Matrix Biomarkers</title>
<p>Fifty-four Morquio A patients and 74 age-matched controls were included in this study. Morquio A patients were identified as mild (<italic>n</italic> = 19) or severe (<italic>n</italic> = 35) phenotype (<xref ref-type="supplementary-material" rid="TS1">Supplementary Table 1</xref>). Forty-three different pathogenic mutations were identified, 95% causing mild or severe phenotype. The median age of Morquio A patients is similar amongst severity and consistent with pediatric age range (median [IQR] mild, 9 [7&#x2013;14] years and severe, 8 [5.5&#x2013;13] years) (<xref ref-type="table" rid="T1">Table 1</xref>). Present height and weight were significantly different among Morquio A patient severity (<italic>p</italic> &#x003C; 0.001), which has been previously described (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Demographic and biomarker comparisons of Morquio A patients by severity and normal controls.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">Mild</td>
<td valign="top" align="center">Severe</td>
<td valign="top" align="center">Normal adults</td>
<td valign="top" align="center">Normal pediatrics</td>
<td valign="top" align="center">All 4 groups</td>
<td valign="top" align="center">Morquio A Pts</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">(<italic>n</italic> = 19)</td>
<td valign="top" align="center">(<italic>n</italic> = 35)</td>
<td valign="top" align="center">(<italic>n</italic> = 22)</td>
<td valign="top" align="center">(<italic>n</italic> = 52)</td>
<td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Demographics</td>
<td valign="top" align="center">Median(IQR); n</td>
<td valign="top" align="center">Median(IQR); n</td>
<td valign="top" align="center">Median(IQR); n</td>
<td valign="top" align="center">Median(IQR); n</td>
<td valign="top" align="center"><italic>P</italic>-value<xref ref-type="table-fn" rid="t1fna"><sup>a</sup></xref></td>
<td valign="top" align="center"><italic>P</italic>-value<xref ref-type="table-fn" rid="t1fnb"><sup>b</sup></xref></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">9.0 (7.0 &#x2013; 14.0); 19</td>
<td valign="top" align="center">8.0 (5.5 &#x2013; 13.0); 35</td>
<td valign="top" align="center">40 (33.75 &#x2013; 46.0); 22</td>
<td valign="top" align="center">13.0 (8.0 &#x2013; 15.0); 52</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.29</td>
</tr>
<tr>
<td valign="top" align="left">Age group, n(%)</td>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.93</td>
</tr>
<tr>
<td valign="top" align="left">&#x003C;18 years</td>
<td valign="top" align="center">15 (78.9)</td>
<td valign="top" align="center">28 (80.0)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">48 (92.3)</td>
<td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x003E;=18 years</td>
<td valign="top" align="center">4 (21.1)</td>
<td valign="top" align="center">7 (20.0)</td>
<td valign="top" align="center">22 (100)</td>
<td valign="top" align="center">4 (7.7)</td>
<td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Gender, n(%)</td>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center">0.34</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">13 (72.2)</td>
<td valign="top" align="center">15 (45.5)</td>
<td valign="top" align="center">12 (54.5)</td>
<td valign="top" align="center">28 (54.9)</td>
<td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">5 (27.8)</td>
<td valign="top" align="center">18 (54.5)</td>
<td valign="top" align="center">10 (45.5)</td>
<td valign="top" align="center">23 (45.1)</td>
<td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Birth Weight(g)</td>
<td valign="top" align="center">3570.0 (3327.0 &#x2013; 4029.0); 13</td>
<td valign="top" align="center">3762.0 (3343.0 &#x2013; 4340.0); 18</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.34</td>
</tr>
<tr>
<td valign="top" align="left">Birth Height(cm)</td>
<td valign="top" align="center">53.0 (51.0 &#x2013; 54.6); 11</td>
<td valign="top" align="center">53.3 (50.9- 55.9); 17</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.67</td>
</tr>
<tr>
<td valign="top" align="left">Present Weight(kg)</td>
<td valign="top" align="center">23.78 (20.5 &#x2013; 37.4); 16</td>
<td valign="top" align="center">15.0 (14.0&#x2013;16.8); 27</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Present Height(cm)</td>
<td valign="top" align="center">118.5 (112.9 &#x2013; 133.2); 16</td>
<td valign="top" align="center">94.0 (90.0 &#x2013; 101.6); 27</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Biomarkers</bold></td>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Cathepsin S (ng/mL)</td>
<td valign="top" align="center">6.91 (4.83&#x2013; 9.52); 19</td>
<td valign="top" align="center">6.0 (4.8&#x2013; 9.32); 35</td>
<td valign="top" align="center">9.94 (8.56 &#x2013; 12.45); 22</td>
<td valign="top" align="center">11.4 (8.75 &#x2013; 15.83); 52</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.58</td>
</tr>
<tr>
<td valign="top" align="left">Elastin (ng/mL)</td>
<td valign="top" align="center">3.48 (2.45 &#x2013; 4.8); 19</td>
<td valign="top" align="center">3.25 (2.24 &#x2013; 4.51); 35</td>
<td valign="top" align="center">3.26 (2.38 &#x2013; 4.29); 22</td>
<td valign="top" align="center">3.34 (2.26 &#x2013; 4.85); 52</td>
<td valign="top" align="center">0.9</td>
<td valign="top" align="center">0.58</td>
</tr>
<tr>
<td valign="top" align="left">Plasma KS (ng/mL)</td>
<td valign="top" align="center">577.0 (370.8 &#x2013; 1114.3); 17</td>
<td valign="top" align="center">681.3 (380.0 &#x2013; 2807.0); 29</td>
<td valign="top" align="center">159.2 (112.3 &#x2013; 201.5); 20</td>
<td valign="top" align="center">56.58 (33.24 &#x2013; 87.41); 50</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.56</td>
</tr>
<tr>
<td valign="top" align="left">Urine GAGs (mg/gCr)</td>
<td valign="top" align="center">167.5 (87.55 &#x2013; 248.5); 16</td>
<td valign="top" align="center">186.2 (92.93 &#x2013; 330.8); 28</td>
<td valign="top" align="center">6.45 (4.45 &#x2013; 12.03); 8</td>
<td valign="top" align="center"/><td valign="top" align="center">(&#x003C;0.001)<xref ref-type="table-fn" rid="t1fn1"><sup>#</sup></xref></td>
<td valign="top" align="center">0.57</td>
</tr>
<tr>
<td valign="top" align="left">Urine KS (mg/gCr)</td>
<td valign="top" align="center">2.17 (1.27 &#x2013; 6.73); 16</td>
<td valign="top" align="center">7.24 (3.04 &#x2013; 13.3); 26</td>
<td valign="top" align="center">0.08 (0.05 &#x2013; 0.11); 9</td>
<td valign="top" align="center"/><td valign="top" align="center">(&#x003C;0.001)<xref ref-type="table-fn" rid="t1fn1"><sup>#</sup></xref></td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left">Plasma GAGs (ng/mL)</td>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center">98.76 (63.09 - 861.6); 48</td>
<td valign="top" align="center"/><td valign="top" align="center"/></tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>IQR, Interquartile Range; GAGs, Total glycosaminoglycans.</italic></p></fn>
<fn id="t1fna"><p><italic><sup>a</sup>p-value for Normal, Mild, and Severe; Kruskal-Wallis test for continuous variables and Chi-square tests for categorical variable.</italic></p></fn>
<fn id="t1fnb"><p><italic><sup>b</sup>p-value for Mild versus Severe only; Mann-Whitney U-test for continuous variables and Chi-square test for categorical variables.</italic></p></fn>
<fn id="t1fn1"><p><italic><sup>#</sup>p-value for Normal Adult, Mild, and Severe; Kruskal&#x2013;Wallis test.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>Cathepsin S levels differed significantly between patients and normal controls (<italic>p</italic> &#x003C; 0.001). In contrast, there was no significant difference of elastin levels between Morquio A patients and controls. Plasma KS, urine GAGs, and urine KS levels were significantly higher in Morquio A patients (<italic>p</italic> &#x003C; 0.001), consistent with previous literature (<xref ref-type="bibr" rid="B41">41</xref>&#x2013;<xref ref-type="bibr" rid="B44">44</xref>), however, displayed no significant difference amongst severity except for urine KS levels (median [IQR] mild, 2.17 [1.27&#x2013;6.73] mg/gCr and severe, 7.24 [3.04&#x2013;13.3] mg/gCr; <italic>p</italic> = 0.02).</p>
</sec>
<sec id="S3.SS2">
<title>Age Group Dependent Analysis of Extracellular Matrix Biomarkers</title>
<p>To understand if there was an age dependent effect of cathepsin S and elastin, Morquio A patients and normal controls were stratified by age groups. Cathepsin S levels were similar amongst Morquio A patient age groups (median range 5.45&#x2013;8.52 ng/mL; <xref ref-type="table" rid="T2">Table 2</xref>), however, differed from normal controls (<italic>p</italic> &#x003C; 0.001) with higher median levels (median range 9.61&#x2013;15.9 ng/mL). Normal controls 0 to 5 years old had the highest level (median [IQR] 15.9 [12.3&#x2013;19.98] ng/mL). Elastin levels differed amongst Morquio A patients and normal controls (<italic>p</italic> = 0.02) with highest median levels in Morquio A patients &#x003E;40 years old (median [IQR] 5.19 [4.19&#x2013; 5.87] ng/mL) and normal controls &#x003E;5 to 10 years old (median [IQR] 4.99 [3.42 &#x2013; 8.29] ng/mL). As expected, and previously described, urinary GAGs and KS levels as well as plasma KS levels were the highest in Morquio A childhood (<xref ref-type="bibr" rid="B41">41</xref>). Urinary GAGs and KS differed between all age groups (<italic>p</italic> &#x003C; 0.001); however, we did not obtain urine samples in the normal pediatric population which limits the available data for comparison. Plasma KS was significantly different between all age groups (<italic>p</italic> &#x003C; 0.001). Plasma KS levels of Morquio A 0&#x2013;5 years old group was twenty-two times higher than that of the normal control group of the same age. Similarly, plasma KS levels of Morquio A &#x003E;5&#x2013;10 years old were ten times higher than the plasma KS levels of normal controls of the same age. Morquio A group &#x003E;10&#x2013;15 years old showed 6.5 times higher plasma KS levels compared to the normal age-matched controls. Plasma GAG data was only available for normal age groups 0&#x2013;20 years with concentrations the highest in early childhood, specifically 0 to 5 years old (median [IQR] 1139.0 [86.97 &#x2013; 1374.0] ng/mL). These findings confirm that plasma GAGs are elevated in childhood and decreased with age (<xref ref-type="bibr" rid="B45">45</xref>).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Biomarker comparisons of Morquio A and normal control age groups.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center" colspan="6">Morquio A<hr/></td>
<td valign="top" align="center" colspan="6">Normal<hr/></td>
<td valign="top" align="center">All age</td>
</tr>
<tr>
<td valign="top" align="left"/><td valign="top" align="center">0&#x2013;5 yrs</td>
<td valign="top" align="center">&#x003E;5&#x2013;10 yrs</td>
<td valign="top" align="center">&#x003E;10&#x2013;15 yrs</td>
<td valign="top" align="center">&#x003E;15&#x2013;20 yrs</td>
<td valign="top" align="center">&#x003E;20&#x2014;40 yrs</td>
<td valign="top" align="center">&#x003E;40 yrs</td>
<td valign="top" align="center">0&#x2013;5 yrs</td>
<td valign="top" align="center">&#x003E;5&#x2013;10 yrs</td>
<td valign="top" align="center">&#x003E;10&#x2013;15 yrs</td>
<td valign="top" align="center">&#x003E;15&#x2013;20 yrs</td>
<td valign="top" align="center">&#x003E;20&#x2013;40 yrs</td>
<td valign="top" align="center">&#x003E;40 yrs</td>
<td valign="top" align="center">Groups</td>
</tr>
<tr>
<td valign="top" align="left" colspan="14"><hr/></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"><bold>(<italic>n</italic> = 10)</bold></td>
<td valign="top" align="center"><bold>(<italic>n</italic> = 23)</bold></td>
<td valign="top" align="center"><bold>(<italic>n</italic> = 10)</bold></td>
<td valign="top" align="center"><bold>(<italic>n</italic> = 2)</bold></td>
<td valign="top" align="center"><bold>(<italic>n</italic> = 5)</bold></td>
<td valign="top" align="center"><bold>(<italic>n</italic> = 4)</bold></td>
<td valign="top" align="center"><bold>(<italic>n</italic> = 9)</bold></td>
<td valign="top" align="center"><bold>(<italic>n</italic> = 9)</bold></td>
<td valign="top" align="center"><bold>(<italic>n</italic> = 23)</bold></td>
<td valign="top" align="center"><bold>(<italic>n</italic> = 11)</bold></td>
<td valign="top" align="center"><bold>(<italic>n</italic> = 17)</bold></td>
<td valign="top" align="center"><bold>(<italic>n</italic> = 9)</bold></td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left"><bold>Biomarkers</bold></td>
<td valign="top" align="center"><bold>Median(IQR); n</bold></td>
<td valign="top" align="center"><bold>Median(IQR); n</bold></td>
<td valign="top" align="center"><bold>Median(IQR); n</bold></td>
<td valign="top" align="center"><bold>Median(IQR); n</bold></td>
<td valign="top" align="center"><bold>Median(IQR); n</bold></td>
<td valign="top" align="center"><bold>Median(IQR); n</bold></td>
<td valign="top" align="center"><bold>Median(IQR); n</bold></td>
<td valign="top" align="center"><bold>Median(IQR); n</bold></td>
<td valign="top" align="center"><bold>Median(IQR); n</bold></td>
<td valign="top" align="center"><bold>Median(IQR); n</bold></td>
<td valign="top" align="center"><bold>Median(IQR); n</bold></td>
<td valign="top" align="center"><bold>Median(IQR); n</bold></td>
<td valign="top" align="center"><bold><italic>P</italic>-value<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (yrs)</td>
<td valign="top" align="center">3.75<break/>(1.98&#x2013;4.33)</td>
<td valign="top" align="center">7.0<break/>(6.3&#x2013;8.5)</td>
<td valign="top" align="center">11<break/>(10.38&#x2013;13.0)</td>
<td valign="top" align="center">18.6<break/>(18.2&#x2013;19.0)</td>
<td valign="top" align="center">24.0<break/>(23.65&#x2013;32.50)</td>
<td valign="top" align="center">46.9<break/>(45.83&#x2013;54.65)</td>
<td valign="top" align="center">3.0<break/>(3.0&#x2013;5.0)</td>
<td valign="top" align="center">8.0<break/>(7.0&#x2013;10.0)</td>
<td valign="top" align="center">14.0<break/>(13.0&#x2013;14.0)</td>
<td valign="top" align="center">17.0<break/>(17.0&#x2013;18.0)</td>
<td valign="top" align="center">37.0<break/>(32.0&#x2013;39.5)</td>
<td valign="top" align="center">46.0<break/>(43.8&#x2013;50.5)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Cathepsin S<break/>(ng/mL)</td>
<td valign="top" align="center">6.71<break/>(5.03&#x2013;9.55);<break/> 10</td>
<td valign="top" align="center">7.01<break/>(4.76&#x2013;9.42);<break/> 23</td>
<td valign="top" align="center">5.45<break/>(3.72&#x2013;8.57);<break/> 10</td>
<td valign="top" align="center">8.52<break/>(5.74&#x2013;11.29);<break/> 2</td>
<td valign="top" align="center">6.84<break/>(4.33&#x2013;10.01);<break/> 5</td>
<td valign="top" align="center">8.03<break/>(5.29&#x2013;10.96);<break/> 4</td>
<td valign="top" align="center">15.9<break/>(12.3&#x2013;19.98);<break/> 9</td>
<td valign="top" align="center">9.05<break/>(6.65&#x2013;9.72);<break/> 9</td>
<td valign="top" align="center">11.53<break/>(8.72&#x2013;16.28);<break/> 23</td>
<td valign="top" align="center">9.91<break/>(7.98&#x2013;15.60);<break/> 11</td>
<td valign="top" align="center">9.61<break/>(7.07&#x2013;11.89);<break/> 13</td>
<td valign="top" align="center">11.27<break/>(9.36&#x2013;15.31):<break/> 9</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Elastin<break/>(ng/mL)</td>
<td valign="top" align="center">3.53<break/>(2.41&#x2013;4.26);<break/> 10</td>
<td valign="top" align="center">3.64<break/>(2.24&#x2013;4.65);<break/> 23</td>
<td valign="top" align="center">3.16<break/>(1.67&#x2013;3.90);<break/> 10</td>
<td valign="top" align="center">3.88<break/>(3.1&#x2013;4.67);<break/> 2</td>
<td valign="top" align="center">2.64<break/>(1.46&#x2013;3.48);<break/> 5</td>
<td valign="top" align="center">5.19<break/>(4.19&#x2013;5.87);<break/> 4</td>
<td valign="top" align="center">2.74<break/>(2.36&#x2013;3.19);<break/> 9</td>
<td valign="top" align="center">4.99<break/>(3.42&#x2013;8.29);<break/> 9</td>
<td valign="top" align="center">3.49<break/>(1.96&#x2013;4.81);<break/> 23</td>
<td valign="top" align="center">3.07<break/>(1.56&#x2013;4.67);<break/> 11</td>
<td valign="top" align="center">2.93<break/>(2.03&#x2013;3.36);<break/> 13</td>
<td valign="top" align="center">4.58<break/>(3.51&#x2013;4.84);<break/> 9</td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left">Urine GAGs<break/>(mg/gCr)</td>
<td valign="top" align="center">384.1<break/>(201.8&#x2013;532.5);<break/> 6</td>
<td valign="top" align="center">191.0<break/>(144.9&#x2013;322.0);<break/> 20</td>
<td valign="top" align="center">160.0<break/>(84.67&#x2013;281.0);<break/> 9</td>
<td valign="top" align="center">156.3<break/>(91.58&#x2013;221.0);<break/> 2</td>
<td valign="top" align="center">49.95<break/>(30.70&#x2013;164.6);<break/> 4</td>
<td valign="top" align="center">97.0<break/>(87.1&#x2013;103.0);<break/> 3</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"/><td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">6.45<break/>(4.68&#x2013;23.0);<break/> 4</td>
<td valign="top" align="center">7.05<break/>(3.65&#x2013;12.03);<break/> 4</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Urine KS<break/>(mg/gCr)</td>
<td valign="top" align="center">8.35<break/>(6.18&#x2013;10.55);<break/> 6</td>
<td valign="top" align="center">8.37<break/>(1.74&#x2013;13.6);<break/> 19</td>
<td valign="top" align="center">3.14<break/>(1.67&#x2013;8.58);8</td>
<td valign="top" align="center">3.38<break/>(3.04&#x2013;3,71);<break/> 2</td>
<td valign="top" align="center">1.9<break/>(0.76&#x2013;2.8);<break/> 4</td>
<td valign="top" align="center">1.72<break/>(0.97&#x2013;2.17);<break/> 3</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"/><td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.07<break/>(0.04&#x2013;0.1);<break/> 4</td>
<td valign="top" align="center">0.1<break/>(0.06&#x2013;73.91);<break/> 5</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Plasma KS<break/>(ng/mL)</td>
<td valign="top" align="center">1733.0<break/>(524.0&#x2013;4807.0);<break/> 8</td>
<td valign="top" align="center">629.0<break/>(531.0&#x2013;1388.0);<break/> 19</td>
<td valign="top" align="center">381.0<break/>(272.0&#x2013;2959);<break/> 9</td>
<td valign="top" align="center">2212<break/>(299.0&#x2013;4125.0);<break/> 2</td>
<td valign="top" align="center">296.5<break/>(115.2&#x2013;2228.0);<break/> 4</td>
<td valign="top" align="center">180.4<break/>(115.5&#x2013;1189.0);<break/> 4</td>
<td valign="top" align="center">78.21<break/>(52.61&#x2013;120.1);<break/> 9</td>
<td valign="top" align="center">62.71<break/>(25.83&#x2013;87.13);<break/> 7</td>
<td valign="top" align="center">59.14<break/>(39.14&#x2013;91.84);<break/> 23</td>
<td valign="top" align="center">25.95<break/>(12.45&#x2013;41.58);<break/> 11</td>
<td valign="top" align="center">155.5<break/>(90.78&#x2013;250.0);<break/> 12</td>
<td valign="top" align="center">159.2<break/>(137.5&#x2013;188.4);<break/> 8</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Plasma GAGs<break/>(ng/mL)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1139.0<break/>(86.97&#x2013;1374.0);<break/> 9</td>
<td valign="top" align="center">104.2<break/>(61.89&#x2013;449.1);<break/> 7</td>
<td valign="top" align="center">123.0<break/>(67.95&#x2013;858.9);<break/> 21</td>
<td valign="top" align="center">64.29<break/>(59.82&#x2013;67.52);<break/> 11</td>
<td valign="top" align="center"/><td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.05</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>IQR, Interquartile Range; GAGs, Total glycosaminoglycans;</italic></p></fn>
<fn id="t2fna"><p><italic><sup>a</sup>p-value; Kruskal&#x2013;Wallis test.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS3">
<title>Identical Age Group Analysis of Extracellular Matrix Biomarkers</title>
<p>We observed differences of cathepsin S and elastin levels when the patients were grouped by age. Cathepsin S levels differed in early childhood (0&#x2013;5 years old) and early adolescence (&#x003E;10&#x2013;15 years old, <italic>p</italic> &#x003C; 0.001; <xref ref-type="table" rid="T3">Table 3</xref>) between Morquio A patients and normal controls. In addition, elastin levels were significantly different amongst &#x003E;5&#x2013;10 years old (<italic>p</italic> = 0.02) Morquio A patients and normal controls. Urinary GAG and KS levels were significantly different between Morquio A and normal controls &#x003E;20&#x2013;40 years old (<italic>p</italic> = 0.03). Plasma KS levels differed significantly amongst all age groups from 0 to 20 years old.</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Biomarker comparisons between age groups of Morquio A and normal controls.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Biomarkers</td>
<td valign="top" align="center" colspan="6">Morquio A vs. Normal controls<hr/></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">0&#x2013;5 yrs</td>
<td valign="top" align="center">&#x003E;5&#x2013;10 yrs</td>
<td valign="top" align="center">&#x003E;10&#x2013;15 yrs</td>
<td valign="top" align="center">&#x003E;15&#x2013;20 yrs</td>
<td valign="top" align="center">&#x003E;20&#x2013;40 yrs</td>
<td valign="top" align="center">&#x003E;40 yrs</td>
</tr>
<tr>
<td></td>
<td valign="top" align="center" colspan="6"><hr/></td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>P</italic>-value</td>
<td valign="top" align="center"><italic>P</italic>-value</td>
<td valign="top" align="center"><italic>P</italic>-value</td>
<td valign="top" align="center"><italic>P</italic>-value</td>
<td valign="top" align="center"><italic>P</italic>-value</td>
<td valign="top" align="center"><italic>P</italic>-value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (yrs)</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.69</td>
</tr>
<tr>
<td valign="top" align="left">Cat S (ng/mL)</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.41</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">0.11</td>
</tr>
<tr>
<td valign="top" align="left">Elastin (ng/mL)</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">0.26</td>
</tr>
<tr>
<td valign="top" align="left">Urine GAGs (mg/gCr)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">Urine KS (mg/gCr)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.25</td>
</tr>
<tr>
<td valign="top" align="left">Plasma KS (ng/mL)</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">0.57</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>P-value; Mann&#x2013;Whitney test.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS4">
<title>Association Between Extracellular Matrix Biomarkers and Glycosaminoglycans</title>
<p>To determine the association of GAGs, elastin, cathepsin S, and age in normal population, we measured their correlation with each other. A strong correlation existed among all age groups for plasma GAGs and KS (<italic>p</italic> &#x003C; 0.001) and a moderate correlation was identified for plasma GAGs and cathepsin S (<italic>p</italic> = 0.02) (not shown). A strong inverse correlation was present between various biomarkers and age groups including cathepsin S and elastin in &#x003E;15&#x2013;20 years old (<italic>p</italic> = 0.015), plasma KS and cathepsin S in &#x003E;40 years old (<italic>p</italic> = 0.026). In addition, there was a strong inverse correlation between age and plasma KS in 0&#x2013;5 years old (<italic>p</italic> &#x003C; 0.005), and a moderate inverse correlation between age and cathepsin S for &#x003E;10&#x2013;15 years old (<italic>p</italic> = 0.031) (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Pairwise Pearson correlation matrix of age, keratan sulfate (KS), glycosaminoglycans (GAGs), cathepsin S and elastin in normal samples stratified by age groups. Blue indicates positive correlation, and red indicates negative correlation. Darker colors are associated with stronger correlation coefficients. Yellow boxes indicate significant correlations.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-829111-g001.tif"/>
</fig>
<p>To understand the relationship of cathepsin S, elastin, and GAG production in Morquio A patients, we determined correlation between them at different age groups. There was a strong direct correlation between urine GAGs and urine KS in all age groups of Morquio A patients (<italic>p</italic> &#x003C; 0.001; <xref ref-type="fig" rid="F2">Figure 2</xref>), consistent with previous studies (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>). A strong correlation was also present between urine GAGs and elastin in patients &#x003E;20&#x2013;40 years old (<italic>p</italic> = 0.046), and elastin and cathepsin S in &#x003E;40 years old (<italic>p</italic> = 0.029). A strong inverse correlation between urine KS and elastin was displayed in &#x003E;10&#x2013;15 years old (<italic>p</italic> = 0.035).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Pairwise Pearson correlation matrix of age, keratan sulfate (KS), glycosaminoglycans (GAGs), cathepsin S and elastin in Morquio A samples stratified by age groups. Blue indicates positive correlation, and red indicates negative correlation. Darker colors are associated with stronger correlation coefficients. Yellow boxes indicate significant correlations. The term &#x201C;all ages&#x201D; refers to the compound group of different ages that are part of this study.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-829111-g002.tif"/>
</fig>
</sec>
<sec id="S3.SS5">
<title>Discrimination of Cathepsin S and Elastin as Extracellular Matrix Biomarkers for Morquio A Disease</title>
<p>To evaluate the diagnostic power of elastin and cathepsin S as potential biomarkers to discriminate between Morquio A and normal controls at different age groups, we performed receiver operating characteristic (ROC) curves. The ROC curves help to evaluate the discriminating ability of a biomarker by providing information between its sensitivity (true positive rate) and specificity (1- false positive rate). Values of the area under the ROC curve close to 1 indicate that the biomarker has high diagnostic accuracy, while a value of 0.5 has no predictive value (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>). ROC curve profiles suggest that cathepsin S levels can be used to discriminate Morquio A patients of any age from controls 0&#x2013;5 years old (AUC &#x003E;0.9 (<italic>p</italic> = 0.0003); <xref ref-type="fig" rid="F3">Figures 3A&#x2013;F</xref>). Similarly, ROC curve profiles suggest that Cathepsin S levels can be used to discriminate Morquio A children of various ages [0&#x2013;15 years old] from normal controls of all ages (AUC &#x003E;0.8). ROC curve profiles reflect that elastin levels can be used to discriminate Morquio A patients (&#x003E;15 years old) from normal controls (AUC &#x003E;0.8; <xref ref-type="table" rid="T4">Table 4</xref>). In addition, elastin levels can be clearly distinguished between adult Morquio A patients &#x003E;40 years old and adult normal controls &#x003E;20&#x2013;40 years old (AUC 1.0; (<italic>p</italic> = 0.003); <xref ref-type="fig" rid="F4">Figures 4A&#x2013;D</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Representative figures of receiver operating characteristic (ROC) curves for cathepsin S comparing different age groups. Comparison of the diagnostic ability of Cathepsin S in the Morquio A cohort and the normal cohort stratified by age. Comparison of normal controls 0 to 5 years of age with: <bold>(A)</bold> Morquio A patients 0 to 5 years of age, <bold>(B)</bold> Morquio A patients &#x003E;5 to 10 years of age, <bold>(C)</bold> Morquio A patients &#x003E;10 to 15 years of age, <bold>(D)</bold> Morquio A patients &#x003E;15&#x2013;20 years of age, <bold>(E)</bold> Morquio A patients &#x003E;20 to 40 years of age, and <bold>(F)</bold> Morquio A patients &#x003E;40 years of age. AUC, Area under the curve.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-829111-g003.tif"/>
</fig>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Receiver operating characteristic area under the curves for cathepsin S and elastin.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left" colspan="3">Cathepsin S<hr/></td>
<td valign="top" align="center" colspan="3">Elastin<hr/></td>
</tr>
<tr>
<td valign="top" align="left">Morquio A vs. Normal controls age groups (yrs)</td>
<td valign="top" align="center">AUC</td>
<td valign="top" align="center"><italic>p</italic>-value</td>
<td valign="top" align="left">Morquio A vs. Normal controls age groups (yrs)</td>
<td valign="top" align="center">AUC</td>
<td valign="top" align="center"><italic>p</italic>-value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>0&#x2013;5 vs. 0&#x2013;5</bold></td>
<td valign="top" align="center"><bold>0.99</bold></td>
<td valign="top" align="center"><bold>0.000</bold></td>
<td valign="top" align="left">0&#x2013;5 vs. 0&#x2013;5</td>
<td valign="top" align="center">0.61</td>
<td valign="top" align="center">0.40</td>
</tr>
<tr>
<td valign="top" align="left">0&#x2013;5 vs. &#x003E;5&#x2013;10</td>
<td valign="top" align="center">0.78</td>
<td valign="top" align="center"><bold>0.040</bold></td>
<td valign="top" align="left">0&#x2013;5 vs. &#x003E;5&#x2013;10</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center"><bold>0.03</bold></td>
</tr>
<tr>
<td valign="top" align="left"><bold>0&#x2013;5 vs. &#x003E;10&#x2013;15</bold></td>
<td valign="top" align="center"><bold>0.85</bold></td>
<td valign="top" align="center"><bold>0.002</bold></td>
<td valign="top" align="left">0&#x2013;5 vs. &#x003E;10&#x2013;15</td>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center">0.78</td>
</tr>
<tr>
<td valign="top" align="left"><bold>0&#x2013;5 vs. &#x003E;15&#x2013;20</bold></td>
<td valign="top" align="center"><bold>0.92</bold></td>
<td valign="top" align="center"><bold>0.002</bold></td>
<td valign="top" align="left">0&#x2013;5 vs. &#x003E;15&#x2013;20</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">0.93</td>
</tr>
<tr>
<td valign="top" align="left"><bold>0&#x2013;5 vs. &#x003E;20&#x2013;40</bold></td>
<td valign="top" align="center"><bold>0.88</bold></td>
<td valign="top" align="center"><bold>0.002</bold></td>
<td valign="top" align="left">0&#x2013;5 vs. &#x003E;20&#x2013;40</td>
<td valign="top" align="center">0.69</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left"><bold>0&#x2013;5 vs. &#x003E;40</bold></td>
<td valign="top" align="center"><bold>0.93</bold></td>
<td valign="top" align="center"><bold>0.001</bold></td>
<td valign="top" align="left">0&#x2013;5 vs. &#x003E;40</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center"><bold>0.05</bold></td>
</tr>
<tr>
<td valign="top" align="left"><bold>&#x003E;5&#x2013;10 vs. 0&#x2013;5</bold></td>
<td valign="top" align="center"><bold>0.97</bold></td>
<td valign="top" align="center"><bold>&#x003C;0.0001</bold></td>
<td valign="top" align="left">&#x003E;5&#x2013;10 vs. 0&#x2013;5</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center">0.63</td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;5&#x2013;10 vs. &#x003E;5&#x2013;10</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">0.070</td>
<td valign="top" align="left">&#x003E;5&#x2013;10 vs. &#x003E;5&#x2013;10</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center"><bold>0.01</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;5&#x2013;10 vs. &#x003E;10&#x2013;15</td>
<td valign="top" align="center">0.78</td>
<td valign="top" align="center"><bold>0.001</bold></td>
<td valign="top" align="left">&#x003E;5&#x2013;10 vs, &#x003E;10&#x2013;15</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">0.86</td>
</tr>
<tr>
<td valign="top" align="left"><bold>&#x003E;5&#x2013;10 vs. &#x003E;15&#x2013;20</bold></td>
<td valign="top" align="center"><bold>0.88</bold></td>
<td valign="top" align="center"><bold>0.001</bold></td>
<td valign="top" align="left">&#x003E;5&#x2013;10 vs. &#x003E;15&#x2013;20</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center">0.87</td>
</tr>
<tr>
<td valign="top" align="left"><bold>&#x003E;5&#x2013;10 vs. &#x003E;20&#x2013;40</bold></td>
<td valign="top" align="center"><bold>0.81</bold></td>
<td valign="top" align="center"><bold>0.001</bold></td>
<td valign="top" align="left">&#x003E;5&#x2013;10 vs. &#x003E;20&#x2013;40</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left"><bold>&#x003E;5&#x2013;10 vs. &#x003E;40</bold></td>
<td valign="top" align="center"><bold>0.87</bold></td>
<td valign="top" align="center"><bold>0.001</bold></td>
<td valign="top" align="left">&#x003E;5&#x2013;10 vs. &#x003E;40</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">0.07</td>
</tr>
<tr>
<td valign="top" align="left"><bold>&#x003E;10&#x2013;15 vs. &#x003E;0&#x2013;5</bold></td>
<td valign="top" align="center"><bold>0.99</bold></td>
<td valign="top" align="center"><bold>0.003</bold></td>
<td valign="top" align="left">&#x003E;10&#x2013;15 vs. &#x003E;0&#x2013;5</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center">0.87</td>
</tr>
<tr>
<td valign="top" align="left"><bold>&#x003E;10&#x2013;15 vs. &#x003E;5&#x2013;10</bold></td>
<td valign="top" align="center"><bold>0.87</bold></td>
<td valign="top" align="center"><bold>0.001</bold></td>
<td valign="top" align="left">&#x003E;10&#x2013;15 vs. &#x003E;5&#x2013;10</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center"><bold>0.03</bold></td>
</tr>
<tr>
<td valign="top" align="left"><bold>&#x003E;10&#x2013;15 vs. &#x003E;10&#x2013;15</bold></td>
<td valign="top" align="center"><bold>0.87</bold></td>
<td valign="top" align="center"><bold>0.001</bold></td>
<td valign="top" align="left">&#x003E;10&#x2013;15 vs. &#x003E;10&#x2013;15</td>
<td valign="top" align="center">0.61</td>
<td valign="top" align="center">0.32</td>
</tr>
<tr>
<td valign="top" align="left"><bold>&#x003E;10&#x2013;15 vs. &#x003E;15&#x2013;20</bold></td>
<td valign="top" align="center"><bold>0.94</bold></td>
<td valign="top" align="center"><bold>0.001</bold></td>
<td valign="top" align="left">&#x003E;10&#x2013;15 vs. &#x003E;15&#x2013;20</td>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center">0.82</td>
</tr>
<tr>
<td valign="top" align="left"><bold>&#x003E;10&#x2013;15 vs. &#x003E;20&#x2013;40</bold></td>
<td valign="top" align="center"><bold>0.88</bold></td>
<td valign="top" align="center"><bold>0.001</bold></td>
<td valign="top" align="left">&#x003E;10&#x2013;15 vs. &#x003E;20&#x2013;40</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">0.56</td>
</tr>
<tr>
<td valign="top" align="left"><bold>&#x003E;10&#x2013;15 vs. &#x003E;40</bold></td>
<td valign="top" align="center"><bold>0.93</bold></td>
<td valign="top" align="center"><bold>0.001</bold></td>
<td valign="top" align="left">&#x003E;10&#x2013;15 vs. &#x003E;40</td>
<td valign="top" align="center">0.72</td>
<td valign="top" align="center">0.10</td>
</tr>
<tr>
<td valign="top" align="left"><bold>&#x003E;15&#x2013;20 vs. &#x003E;0&#x2013;5</bold></td>
<td valign="top" align="center"><bold>0.94</bold></td>
<td valign="top" align="center"><bold>0.050</bold></td>
<td valign="top" align="left">&#x003E;15&#x2013;20 vs. &#x003E;0&#x2013;5</td>
<td valign="top" align="center"><bold>0.83</bold></td>
<td valign="top" align="center">0.16</td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;15&#x2013;20 vs. &#x003E;5&#x2013;10</td>
<td valign="top" align="center">0.61</td>
<td valign="top" align="center">0.630</td>
<td valign="top" align="left">&#x003E;15&#x2013;20 vs. &#x003E;5&#x2013;10</td>
<td valign="top" align="center">0.72</td>
<td valign="top" align="center">0.34</td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;15&#x2013;20 vs. &#x003E;10&#x2013;15</td>
<td valign="top" align="center">0.69</td>
<td valign="top" align="center">0.360</td>
<td valign="top" align="left">&#x003E;15&#x2013;20 vs. &#x003E;10&#x2013;15</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center">0.80</td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;15&#x2013;20 vs. &#x003E;15&#x2013;20</td>
<td valign="top" align="center"><bold>0.80</bold></td>
<td valign="top" align="center">0.190</td>
<td valign="top" align="left">&#x003E;15&#x2013;20 vs. &#x003E;15&#x2013;20</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center">0.59</td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;15&#x2013;20 vs. &#x003E;20&#x2013;40</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">0.670</td>
<td valign="top" align="left">&#x003E;15&#x2013;20 vs. &#x003E;20&#x2013;40</td>
<td valign="top" align="center"><bold>0.82</bold></td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;15&#x2013;20 vs. &#x003E;40</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">0.280</td>
<td valign="top" align="left">&#x003E;15&#x2013;20 vs. &#x003E;40</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center">0.81</td>
</tr>
<tr>
<td valign="top" align="left"><bold>&#x003E;20&#x2013;40 vs. 0&#x2013;5</bold></td>
<td valign="top" align="center"><bold>0.95</bold></td>
<td valign="top" align="center"><bold>0.006</bold></td>
<td valign="top" align="left">&#x003E;20&#x2013;40 vs. 0&#x2013;5</td>
<td valign="top" align="center">0.60</td>
<td valign="top" align="center">0.54</td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;20&#x2013;40 vs. &#x003E;5&#x2013;10</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">0.380</td>
<td valign="top" align="left"><bold>&#x003E;20&#x2013;40 vs. &#x003E;5&#x2013;10</bold></td>
<td valign="top" align="center"><bold>0.87</bold></td>
<td valign="top" align="center"><bold>0.03</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;20&#x2013;40 vs. &#x003E;10&#x2013;15</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">0.060</td>
<td valign="top" align="left">&#x003E;20&#x2013;40 vs. &#x003E;10&#x2013;15</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">0.16</td>
</tr>
<tr>
<td valign="top" align="left"><bold>&#x003E;20&#x2013;40 vs. &#x003E;15&#x2013;20</bold></td>
<td valign="top" align="center"><bold>0.82</bold></td>
<td valign="top" align="center"><bold>0.050</bold></td>
<td valign="top" align="left">&#x003E;20&#x2013;40 vs. &#x003E;15&#x2013;20</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">0.39</td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;20&#x2013;40 vs. &#x003E;20&#x2013;40</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">0.240</td>
<td valign="top" align="left">&#x003E;20&#x2013;40 vs. &#x003E;20&#x2013;40</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center">0.78</td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;20&#x2013;40 vs. &#x003E;40</td>
<td valign="top" align="center"><bold> 0.80</bold></td>
<td valign="top" align="center">0.060</td>
<td valign="top" align="left"><bold>&#x003E;20&#x2013;40 vs. &#x003E;40</bold></td>
<td valign="top" align="center"><bold>0.91</bold></td>
<td valign="top" align="center"><bold>0.01</bold></td>
</tr>
<tr>
<td valign="top" align="left"><bold>&#x003E;40 vs. 0&#x2013;5</bold></td>
<td valign="top" align="center"><bold>0.94</bold></td>
<td valign="top" align="center"><bold>0.013</bold></td>
<td valign="top" align="left"><bold>&#x003E;40 vs. 0&#x2013;5</bold></td>
<td valign="top" align="center"><bold>0.94</bold></td>
<td valign="top" align="center"><bold>0.01</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;40 vs. &#x003E;5&#x2013;10</td>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center">0.870</td>
<td valign="top" align="left">&#x003E;40 vs. &#x003E;5&#x2013;10</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">&#x003E;0.999</td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;40 vs. &#x003E;10&#x2013;15</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">0.340</td>
<td valign="top" align="left">&#x003E;40 vs. &#x003E;10&#x2013;15</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">0.12</td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;40 vs. &#x003E;15&#x2013;20</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">0.250</td>
<td valign="top" align="left">&#x003E;40 vs. &#x003E;15&#x2013;20</td>
<td valign="top" align="center"><bold>0.80</bold></td>
<td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;40 vs. &#x003E;20&#x2013;40</td>
<td valign="top" align="center">0.56</td>
<td valign="top" align="center">0.700</td>
<td valign="top" align="left"><bold>&#x003E;40 vs. &#x003E;20&#x2013;40</bold></td>
<td valign="top" align="center"><bold>1.00</bold></td>
<td valign="top" align="center"><bold>0.00</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;40 vs. &#x003E;40</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">0.390</td>
<td valign="top" align="left">&#x003E;40 vs. &#x003E;40</td>
<td valign="top" align="center">0.72</td>
<td valign="top" align="center">0.22</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>AUC: Area under the curve; Yrs: years. In bold: AUC &#x2265; 0.8, p &#x2264; 0.05.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Representative figures of receiver operating characteristic (ROC) curves for Elastin comparing different age groups. Comparison of the diagnostic ability of Elastin in the Morquio A cohort and the normal cohort stratified by age. <bold>(A)</bold> Morquio A patients &#x003E;40 years of age vs. Normal controls 0 to 5 years of age, <bold>(B)</bold> Morquio A patients &#x003E;40 years of age vs. Normal controls &#x003E;20 to 40 years of age, <bold>(C)</bold> Morquio A patients &#x003E;20 to 40 years of age vs. Normal controls 5 to 10 years of age, <bold>(D)</bold> Morquio A patients &#x003E;20 to 40 years of age vs. Normal controls &#x003E;40 years of age. AUC, Area under the curve.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-829111-g004.tif"/>
</fig>
</sec>
<sec id="S3.SS6">
<title>Extracellular Matrix Biomarker Comparisons Between Morquio A Patients and Normal Controls</title>
<p>To compare cathepsin S and elastin levels among different age groups, we performed scatter plot analyses in Morquio A patients and normal controls. Cathepsin S levels were significantly different between Morquio A patients and normal controls (<italic>p</italic> &#x003C; 0.001). Cathepsin S levels in young Morquio A patients 0&#x2013;5 years old and early adolescence &#x003E;10&#x2013;15 years old were lower than those in normal controls of the same age groups (<italic>p</italic> &#x003C; 0.001 and <italic>p</italic> = 0.005; <xref ref-type="fig" rid="F5">Figure 5A</xref>). Cathepsin S levels in normal controls 0&#x2013;5 years old were very different than all others. Elastin levels in Morquio A disease seem to increase with age (<xref ref-type="fig" rid="F5">Figure 5B</xref>). On the other hand, elastin levels in normal controls increased with age until 10 years of age and then showed a steady decrease until 40 years of age. Elastin levels in normal controls &#x003E;5 to 10 years old were significantly higher than elastin levels in i) Morquio A patients in the same age group (<italic>p</italic> = 0.017), ii) Morquio A patients &#x003E;10&#x2013;15 years old (<italic>p</italic> = 0.02), and iii) Morquio A patients &#x003E;20&#x2013;40 years old (<italic>p</italic> = 0.02).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>Biomarkers comparisons between Morquio A and normal controls. Comparison of <bold>(A)</bold> Cathepsin S, <bold>(B)</bold> Elastin, <bold>(C)</bold> Urine GAGs or <bold>(D)</bold> Plasma KS, between Morquio A and normal controls stratified by age groups. Significant differences are denoted with asterisks (&#x002A;<italic>p</italic> &#x2264; 0.05, <sup>&#x002A;&#x002A;&#x002A;</sup><italic>p</italic> &#x2264; 0.001, and <sup>&#x002A;&#x002A;&#x002A;&#x002A;</sup><italic>p</italic> &#x2264; 0.0001). <italic>P</italic>-values were determined by one-way ANOVA followed by ordinary one-way ANOVA multiple comparisons test.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-829111-g005.tif"/>
</fig>
<p>To confirm previous findings that showed a steady decrease of GAG levels with age (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B47">47</xref>), we made a comparison of urine GAGs and plasma KS in Morquio A patients and normal controls. Urine GAG levels contrasted between Morquio A patients and normal controls (<italic>p</italic> = 0.0001; <xref ref-type="fig" rid="F5">Figure 5C</xref>). There was a dramatic reduction of urine GAG levels in Morquio A patients from 5 years of age until having values close to the ones of normal controls after 20 years of age. Plasma KS levels differed between Morquio A patients and normal controls (<italic>p</italic> &#x003C; 0.0001; <xref ref-type="fig" rid="F5">Figure 5D</xref>). Significant difference of plasma KS levels was displayed between 0&#x2013;5 years old and &#x003E;10&#x2013;15 years old age groups (<italic>p</italic> &#x003C; 0.001 and <italic>p</italic> = 0.03) of Morquio A patients and normal controls.</p>
</sec>
<sec id="S3.SS7">
<title>Comparison of Cardiovascular Disease Biomarkers and Extracellular Matrix Biomarkers</title>
<p>To investigate whether changes in ECM biomarkers were related to the severity of CVD in Morquio A patients, we looked at three different CVD biomarkers in a subset of samples (<xref ref-type="table" rid="T5">Table 5</xref>). We measured levels of &#x03B1;-2-macroglubulin (A2M) and C-reactive protein (CRP) which are associated with chronic inflammation causing plaque development ending with clinical ischemic complications. We found that although there was difference in A2M levels at different ages in Morquio A and normal controls (<italic>p</italic> = 0.0034) (<xref ref-type="fig" rid="F6">Figure 6A</xref>), there was no significant difference overall between those two populations (<xref ref-type="fig" rid="F6">Figure 6B</xref>). In contrast, levels of CRP increased with age in both Morquio A and normal controls (<xref ref-type="fig" rid="F6">Figure 6C</xref>), and the overall levels of CRP were significantly higher in normal controls (<italic>p</italic> = 0.018) when compared to Morquio A patients (<xref ref-type="fig" rid="F6">Figure 6D</xref>). We also explored levels of circulating vascular cell adhesion molecule-1 (sVCAM-1) in Morquio A patients, which is indicative of endothelial dysfunction. We found that the sVCAM-1 levels are higher in Morquio A patients between 0 and 5 years of age (<xref ref-type="fig" rid="F6">Figure 6E</xref>) and the overall levels in Morquio A patients were significantly lower than those in the normal controls (<xref ref-type="fig" rid="F6">Figure 6F</xref>).</p>
<table-wrap position="float" id="T5">
<label>TABLE 5</label>
<caption><p>Demographic and cardiovascular disease biomarker comparisons of Morquio A patients and normal controls.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">Morquio A</td>
<td valign="top" align="center">Normal controls</td>
<td valign="top" align="center">Morquio A vs. Control</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">(<italic>n</italic> = 22)</td>
<td valign="top" align="center">(<italic>n</italic> = 16)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">Median (IQR);<break/> n</td>
<td valign="top" align="center">Median (IQR);<break/> n</td>
<td valign="top" align="center"><italic>P</italic>-value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Demographics</bold> </td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">9.5 (1.8&#x2013;18.4); 22</td>
<td valign="top" align="center">11 (6&#x2013;18);16</td>
<td valign="top" align="center">0.571</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Biomarkers</bold></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Cathepsin S (ng/mL)</td>
<td valign="top" align="center">7.17 (6.06&#x2013;11.45); 22</td>
<td valign="top" align="center">12.55 (10.05&#x2013;18.50); 16</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Elastin (ng/ml)</td>
<td valign="top" align="center">3.09 (2.105&#x2013;4.116); 21</td>
<td valign="top" align="center">2.832 (2.280&#x2013;4.045); 14</td>
<td valign="top" align="center">0.795</td>
</tr>
<tr>
<td valign="top" align="left">Plasma KS (ng/mL)</td>
<td valign="top" align="center">394.0 (221.6&#x2013;603.5); 16</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Urine GAGs (mg/gCr)</td>
<td valign="top" align="center">168.9 (88.60&#x2013;352.5); 18</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Urine KS (mg/gCr)</td>
<td valign="top" align="center">4.29 (2.066&#x2013;13.00); 18</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Plasma GAGs (ng/mL)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">A2M (ng/ml)</td>
<td valign="top" align="center">6945 (3965&#x2013;20949); 20</td>
<td valign="top" align="center">5086 (2679&#x2013;16249); 16</td>
<td valign="top" align="center">0.730</td>
</tr>
<tr>
<td valign="top" align="left">CRP (ng/ml)</td>
<td valign="top" align="center">3.21 (1.21&#x2013;11.34); 17</td>
<td valign="top" align="center">10.30 (5.551&#x2013;20.21); 15</td>
<td valign="top" align="center">0.019</td>
</tr>
<tr>
<td valign="top" align="left">sVCAM-1 (ng/ml)</td>
<td valign="top" align="center">335.3 (110.5&#x2013;556.7); 22</td>
<td valign="top" align="center">564.3 (454.1&#x2013;760.9); 16</td>
<td valign="top" align="center">0.018</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>p-value; Welch&#x2019;s test.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption><p>Comparison of cardiovascular biomarkers between Morquio A and normal controls. Scatter plot and comparison of <bold>(A,B)</bold> &#x03B1;-2-macroglobulin [A2M], <bold>(C,D)</bold> C-reactive protein [CRP], and <bold>(E,F)</bold> circulating vascular cell adhesion molecule-1 [sVCAM-1], between Morquio A and normal controls stratified <bold>(A,C,E)</bold> or non-stratified <bold>(B,D,F)</bold> by age groups. Significant differences are denoted with asterisks (&#x002A;<italic>p</italic> &#x2264; 0.05, <sup>&#x002A;&#x002A;</sup><italic>p</italic> &#x2264; 0.01). <italic>p</italic>-values were determined by one-way ANOVA followed by ordinary one-way ANOVA multiple comparisons test.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-829111-g006.tif"/>
</fig>
<p>To further investigate the relationship of these three CVD biomarkers and the ECM biomarkers, we measured their correlation. A moderate to strong inverse correlation existed among all age groups for urine KS and CRP (<italic>p</italic> = 0.013) as well as plasma KS and CRP (<italic>p</italic> = 0.022) in Morquio A patients. In addition, we found a moderate correlation between sVCAM-1 and Cathepsin S in Morquio A patients at all ages (<italic>p</italic> = 0.03) (<xref ref-type="fig" rid="F7">Figure 7A</xref>). In normal controls, we found a strong inverse correlation between Cathepsin S and A2M (<italic>p</italic> = 0.001) and a moderate to strong correlation between elastin and A2M (<italic>p</italic> = 0.01) (<xref ref-type="fig" rid="F7">Figure 7B</xref>).</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption><p>Pairwise Pearson correlation matrix of <bold>(A)</bold> &#x03B1;-2-macroglobulin (A2M), C-reactive protein (CRP), circulating vascular cell adhesion molecule-1 (sVCAM-1), elastin, cathepsin S, keratan sulfate (KS), and glycosaminoglycans (GAGs) in Morquio A samples, and <bold>(B)</bold> A2M, CRP, sVCAM-1, elastin, and cathepsin S in normal controls. Blue indicates positive correlation, and red indicates negative correlation. Darker colors are associated with stronger correlation coefficients. Yellow boxes indicate significant correlations.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-829111-g007.tif"/>
</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>Cardiovascular disease in Morquio A remains the second leading cause of death. It has been documented as early as infancy and it progresses with age. Current therapeutic options have shown limited to no impact on CVD progression. This study aimed to discover novel lifesaving biomarkers for the diagnosis, prognosis, and treatment of CVD in this patient population.</p>
<p>This study is the first to investigate cathepsin S and elastin levels as biomarkers to assess the severity of CVD, genotype, and phenotype in Morquio A Syndrome. We found that cathepsin S levels in Morquio A patients were significantly lower when compared to normal controls independent of patient&#x2019;s severity. This reflects that cathepsin S activity may be impeded in Morquio A. Cathepsin S must be activated and secreted from the lysosome into the ECM to cleave its substrates and its remodeling (<xref ref-type="bibr" rid="B50">50</xref>). It has been previously shown that large amounts of GAGs, in particular C4S and C6S, within the lysosome can alter and affect the maturation of cathepsin S (<xref ref-type="bibr" rid="B51">51</xref>). Stability and enhanced activation of cathepsin S into its functioning form occurs in the presence of physiologic levels of GAGs (<xref ref-type="bibr" rid="B50">50</xref>). This may explain our findings of increased cathepsin S levels in normal controls, especially in the young pediatric age range. GAG levels in pediatric controls are the highest in early childhood and decrease with cessation of growth into adulthood (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B52">52</xref>). Our experiments displayed similar findings in our pediatric normal control population. Cathepsin S activity may be enhanced by the increased presence of GAGs in early normal control childhood resulting in higher cathepsin S levels during this time frame. This contrasts to young Morquio A children who tend to display large, excessive amounts of GAGs during childhood which may be altering cathepsin S activity with subsequent reflection in decreased levels.</p>
<p>Furthermore, our findings suggest that cathepsin S levels can be used to discriminate Morquio A children from normal controls of all ages, especially early childhood. To date, there is no published reference range for circulating cathepsin S in human plasma. Previous studies looking at cathepsin S in various human disease processes report serum and/or plasma levels in age matched healthy controls &#x003E;20 (<xref ref-type="bibr" rid="B53">53</xref>&#x2013;<xref ref-type="bibr" rid="B58">58</xref>). Cathepsin S levels in the pediatric age range have yet to be reported. Our study is the first to investigate cathepsin S levels in the pediatric population and in Morquio A disease. To the best of our knowledge, there exists no study on cathepsin S in serum and plasma of MPS patients. We note the existence of cathepsin studies in animal models of MPS I (<xref ref-type="bibr" rid="B59">59</xref>), II (<xref ref-type="bibr" rid="B60">60</xref>), III (<xref ref-type="bibr" rid="B59">59</xref>), or VII (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B61">61</xref>).</p>
<p>Cathepsin S has been associated with the pathogenesis of many conditions including but not limited to lung diseases (<xref ref-type="bibr" rid="B62">62</xref>), autoimmune diseases (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B64">64</xref>), CVD (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B65">65</xref>), type 2 diabetes (<xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B67">67</xref>), obesity (<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B68">68</xref>), metabolic syndrome (<xref ref-type="bibr" rid="B55">55</xref>), neurodegenerative disease (<xref ref-type="bibr" rid="B69">69</xref>), and cancer (<xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B71">71</xref>). The majority of studies report elevated cathepsin S levels in association with the specific disease process, however, a recent study has reported decreased cathepsin S levels in patients with systemic sclerosis associated interstitial lung disease (<xref ref-type="bibr" rid="B72">72</xref>).</p>
<p>In normal controls, we discovered that elastin increased throughout childhood then decreased until middle adulthood before elevating again. These findings may be explained by normal elastin fiber formation. Elastogenesis is a complex hierarchal process compromised of many distinct phases that begins with tropoelasin synthesis. Tropoelastin synthesis mainly occurs perinatally with elastin fiber formation and deposition occurring prior to birth and throughout childhood (<xref ref-type="bibr" rid="B73">73</xref>). <italic>De novo</italic> elastin synthesis normally terminates leading up to and following adolescence (<xref ref-type="bibr" rid="B32">32</xref>). While the majority of tropoelastin synthesis occurs perinatally, synthesis has also been shown to occur in response to tissue damage (<xref ref-type="bibr" rid="B73">73</xref>). Tissue damage occurs with the normal aging process (<xref ref-type="bibr" rid="B74">74</xref>). Our findings of increased elastin levels after age 40 could be explained by increasing tropoelastin synthesis in response to the normal tissue damage that occurs with aging.</p>
<p>In contrast to the normal control findings, elastin levels in Morquio A patients tended to increase with age with highest levels after 40 years of age. This too may be explained by the presence of large amounts of GAGs in Morquio A childhood. Elastogenesis or the formation of elastic fibers occurs very early in life and disappears by the onset of puberty (<xref ref-type="bibr" rid="B75">75</xref>). The presence of high amounts of GAGs in the ECM in early Morquio A childhood could prevent the proper assembly of elastic fibers or cause irreversible damage. For example, it has been speculated that marked accumulated GAGs in arteries cause swelling and separation of elastic lamella (<xref ref-type="bibr" rid="B76">76</xref>). As GAG levels decrease into adolescence and adulthood, the remaining elastic fibers may assemble properly reflecting the increase in elastin levels. Cell culture studies have shown that GAGs induce production of tropoelastin in cells and upregulate microfibrillar associated genes leading to the formation of elastic fibers (<xref ref-type="bibr" rid="B77">77</xref>). Thus, the presence of accumulated GAGs in early Morquio childhood could be leading to induction of tropoelastin, a soluble precursor of elastin essential to elastin fiber assembly. Tropoelastin then must be chaperoned outside of the cell to form elastin in the ECM (<xref ref-type="bibr" rid="B73">73</xref>). These same intracellular GAGs that induce tropoleastin production may affect the actual elastin fiber synthesis pathway. This has been shown <italic>in vitro</italic> in MPS I in which increased dermatan sulfate leads to a deficiency of elastic binding protein which is a key chaperone for elastin binding synthesis (<xref ref-type="bibr" rid="B78">78</xref>). As GAGs decrease throughout childhood into adulthood, proper elastin fiber assembly can be achieved from the remaining intracellular tropoelastin which would explain gradual increase in elastin levels observed in our study.</p>
<p>Our study suggests that elastin levels can be used to discriminate adolescent and adult Morquio patients from normal controls. Like cathepsin S, there is no published reference ranges for circulating plasma and/or serum elastin. Previous studies have mainly explored levels of elastin derived peptides or anti-elastin antibodies in pathological disease processes (<xref ref-type="bibr" rid="B79">79</xref>&#x2013;<xref ref-type="bibr" rid="B83">83</xref>). The relationship of elastin protein levels to elastin derived peptides and anti-elastin antibodies has yet to be explored. Our study is the first to explore plasma elastin protein levels in the normal population and in a pathological disease. In addition, our findings confirm that urinary KS is associated with clinical severity of Morquio A (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B84">84</xref>).</p>
<p>Our experiments show that sVCAM-1 levels in Morquio A patients are lower than in normal controls, which can be explained by the dysregulation of the vascular endothelial glycocalyx in MPS patients. In CVD, inflammatory activation of endothelial cells triggers the expression of some leukocyte adhesion molecules including sVCAM-1 followed by the migration of monocytes in the tunica intima of the arterial wall thus amplifying the inflammatory response (<xref ref-type="bibr" rid="B85">85</xref>, <xref ref-type="bibr" rid="B86">86</xref>). Chondroitin sulfate (CS) represents the largest population of arterial GAGs, therefore it actively participates in the development of arterial disease (<xref ref-type="bibr" rid="B87">87</xref>). Patients with Morquio A disease showed increased cIMT (<xref ref-type="bibr" rid="B16">16</xref>) and their endothelial dysfunction/dysregulation may be primed by the accumulation of C6S developing atherosclerotic lesions. Since CS proteoglycans play a key role in the organization and assembly of ECM, the continuous accumulation of CS and KS substrate cause widespread dysregulation including inhibition of elastic fiber assembly and cell adhesion molecules (<xref ref-type="bibr" rid="B88">88</xref>).</p>
<p>C-reactive protein (CRP) and &#x03B1;2M are biomarkers widely used to predict severity of CVD. CRP is known to modulate innate immune response, promote platelet activation, vascular remodeling, and angiogenesis (<xref ref-type="bibr" rid="B89">89</xref>). Recent studies showed that CS intake is associated with a reduction in CRP concentration in blood, indicating decrease in inflammation (<xref ref-type="bibr" rid="B90">90</xref>&#x2013;<xref ref-type="bibr" rid="B92">92</xref>). These findings, along with the significantly lower CRP levels in Morquio A patients found in this study, open a new direction in this field to gain insights in the understanding of vascular endothelial glycocalyx dysregulation in this patient population.</p>
<p>Identification of life-saving novel biomarkers remains the main therapeutic target in Morquio A CVD. This novel study is the first to explore the relationship of cathepsin S and elastin in Morquio A and the normal population. We discovered that cathepsin S has promising attributes as a biomarker in Morquio A children. Elastin, on the other hand, has promising attributes as a biomarker in Morquio A adolescents and adults. Further studies are needed to understand how cathepsin S and elastin correlate with Morquio A severity and treatment outcomes.</p>
</sec>
<sec id="S5">
<title>Limitations</title>
<p>Our study also had several limitations. First, our study was underpowered in several age groups which may have impacted results of age group dependent analyses. Second, urine was not collected from the normal pediatric patients limiting comparisons of urinary GAGs and urinary KS in age dependent analyses. Similarly, plasma GAGs were not analyzed on Morquio A patients or normal adults further limiting comparisons. Importantly, patients&#x2019; database was de-identified so we could not reach out to patients to obtain echocardiograms or ultrasounds to have additional clinical information on the CVD status in patients without reported known cardiovascular symptoms. Lastly, we were unable to compare cathepsin S and elastin levels found in this study to previous studies as this is the first study to explore pediatric and adult aged Morquio A patients and healthy normal controls.</p>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="TS1">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="S7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Institutional Review Board (IRB) at Saint Louis University. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="S8">
<title>Author Contributions</title>
<p>AM conceived and supervised the study. BM and AM designed the study and wrote the manuscript. BM, LW, and QG performed laboratory analysis. AA contributed to the analysis of CVD biomarkers. BM, AA, and AM performed statistical analysis. BM, LW, QG, AA, and AM critically reviewed the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="pudiscl1" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack><p>We would like to thank Paula Buchanan for statistical support.</p>
</ack>
<sec id="S10" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcvm.2022.829111/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2022.829111/full#supplementary-material</ext-link></p>
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