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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2026.1729584</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Bone turnover markers in patients with inflammatory bowel disease in remission: a cross-sectional comparison of anti-TNF&#x003B1; therapy with conventional maintenance therapy</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Jarmakiewicz-Czaja</surname> <given-names>S.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Kiela</surname> <given-names>P. R.</given-names></name>
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<contrib contrib-type="author">
<name><surname>Pi&#x00105;tek</surname> <given-names>D.</given-names></name>
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<contrib contrib-type="author">
<name><surname>Sokal-Dembowska</surname> <given-names>A.</given-names></name>
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<contrib contrib-type="author">
<name><surname>Guz</surname> <given-names>W.</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<contrib contrib-type="author">
<name><surname>Radzki</surname> <given-names>R.</given-names></name>
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<name><surname>Sztembis</surname> <given-names>J.</given-names></name>
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<name><surname>Filip</surname> <given-names>R.</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
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<aff id="aff1"><label>1</label><institution>Faculty of Health Sciences and Psychology, Collegium Medicum, University of Rzesz&#x000F3;w</institution>, <city>Rzesz&#x000F3;w</city>, <country country="pl">Poland</country></aff>
<aff id="aff2"><label>2</label><institution>University Center for Research and Development in Health Sciences</institution>, <city>Rzesz&#x000F3;w</city>, <country country="pl">Poland</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Pediatrics, Daniel Cracchiolo Institute for Pediatric Autoimmune Disease Research, Steele Children&#x00027;s Research Center, University of Arizona</institution>, <city>Tucson, AZ</city>, <country country="us">United States</country></aff>
<aff id="aff4"><label>4</label><institution>Chair and Department of Conservative Dentistry with Endodontics, Medical University of Lublin</institution>, <city>Lublin</city>, <country country="pl">Poland</country></aff>
<aff id="aff5"><label>5</label><institution>Department of Electroradiology, Medical College, University of Rzeszow</institution>, <city>Rzeszow</city>, <country country="pl">Poland</country></aff>
<aff id="aff6"><label>6</label><institution>Department of Radiology, St. Jadwiga Queen Hospital No. 2</institution>, <city>Rzeszow</city>, <country country="pl">Poland</country></aff>
<aff id="aff7"><label>7</label><institution>Department of Animal Physiology, Faculty of Veterinary Medicine, University of Life Sciences in Lublin</institution>, <country country="pl">Poland</country></aff>
<aff id="aff8"><label>8</label><institution>Endocrinology Clinic, Pro-Familia Specialist Hospital</institution>, <city>Rzesz&#x000F3;w</city>, <country country="pl">Poland</country></aff>
<aff id="aff9"><label>9</label><institution>Department of Gastroenterology with IBD Unit, St. Jadwiga Queen Hospital No. 2 Affiliated to the Medical College, University of Rzeszow</institution>, <city>Rzeszow</city>, <country country="pl">Poland</country></aff>
<aff id="aff10"><label>10</label><institution>Department of Internal Medicine, Medical College, University of Rzeszow</institution>, <city>Rzeszow</city>, <country country="pl">Poland</country></aff>
<author-notes>
<corresp id="c001"><label>&#x0002A;</label>Correspondence: S. Jarmakiewicz-Czaja, <email xlink:href="mailto:sjczaja@ur.edu.pl">sjczaja@ur.edu.pl</email>; R. Filip, <email xlink:href="mailto:r.s.filip@wp.pl">r.s.filip@wp.pl</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-10">
<day>10</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>13</volume>
<elocation-id>1729584</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>11</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2026 Jarmakiewicz-Czaja, Kiela, Pi&#x00105;tek, Sokal-Dembowska, Guz, Radzki, Sztembis and Filip.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Jarmakiewicz-Czaja, Kiela, Pi&#x00105;tek, Sokal-Dembowska, Guz, Radzki, Sztembis and Filip</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-10">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Inflammatory bowel diseases (IBD), including Crohn&#x00027;s disease (CD) and ulcerative colitis (UC), are associated with increased risk of bone loss due to chronic inflammation, nutritional deficiencies, and pharmacological treatment.</p>
</sec>
<sec>
<title>Purpose</title>
<p>The purpose of this study was to evaluate bone mineral density (BMD) and selected bone turnover markers in IBD patients in clinical and endoscopic remission, treated with conventional therapy or anti-TNF-&#x003B1; agents.</p>
</sec>
<sec>
<title>Methods</title>
<p>This single-center study included 100 participants: 35 with CD, 37 with UC, and 28 age-matched healthy controls. Patients IBD participated in the study received conventional treatment or anti- TNF-&#x003B1; therapy with ADA (adalimumab) or IFX (infliximab). IBD patients were in confirmed remission, without steroid use or comorbidities affecting bone metabolism. BMD was measured using dual-energy X-ray absorptiometry (DXA) at the lumbar spine (L2&#x02013;L4), the left femoral neck, and whole body. Serum levels of osteocalcin (OC), parathyroid hormone (PTH), sclerostin (SOST), fibroblast growth factor 23 (FGF23), Dickkopf-1 (DKK1), osteoprotegerin (OPG), and osteopontin (OPN) were assessed.</p>
</sec>
<sec>
<title>Results</title>
<p>The IBD group demonstrated a statistically significant higher OPN value (<italic>p</italic> &#x0003C; 0.001) compared to the control group. Additionally, the total T-score revealed a significant difference between the groups (<italic>p</italic> = 0.005), with the control group exhibiting the highest values. No significant differences were found in the levels of other bone density markers studied between the biologically treated group and the conventionally treated group.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Our study indicates that patients with IBD are at risk of developing reduced bone mineral density and osteoporosis. While some bone turnover markers appear to normalize during remission, anti-TNF-&#x003B1; treatment does not offer added benefits for bone metabolism compared to conventional therapy.</p>
</sec></abstract>
<kwd-group>
<kwd>Crohn&#x00027;s disease</kwd>
<kwd>inflammatory bowel disease</kwd>
<kwd>osteoporosis</kwd>
<kwd>TNF&#x003B1;</kwd>
<kwd>ulcerative colitis</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="0"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="60"/>
<page-count count="8"/>
<word-count count="6456"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Precision Medicine</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<p>Inflammatory bowel diseases (IBD) include Crohn&#x00027;s disease (CD), ulcerative colitis (UC) and microscopic inflammatory bowel disease. They go through periods of remission and exacerbation. In CD, inflammation can be localized in any part of the gastrointestinal tract, from the mouth, through the esophagus, stomach, small intestine, large intestine, and rectum. Inflammation can affect the entire thickness of the gastrointestinal wall. In UC, inflammation usually begins in the rectum and spreads proximally to the large intestine. The nature of inflammatory changes is continuous and involves the mucosa and submucosa (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>IBDs are characterized by recurrent immune disorders involving both anti-inflammatory and pro-inflammatory factors. An abnormal inflammatory response can lead to a range of clinical manifestations (<xref ref-type="bibr" rid="B3">3</xref>). The goal of treatment is to achieve and maintain deep remission (healing of the intestinal mucosa), thus reducing the risk of the need for surgical treatment. When considering the implementation of appropriate treatment, the activity and severity of the disease course, the response to previously used medications, and concomitant extraintestinal symptoms, among other factors, should be taken into account. Treatment modalities can be divided into pharmacological and surgical. An adjunctive component of primary treatment is nutritional therapy (<xref ref-type="bibr" rid="B4">4</xref>). The most common pharmacological treatment is based on traditional drugs (5-ASA, Sulfasalazine) and biological treatment based on the use of anti-TNF-&#x003B1; drugs (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>The prevalence of low bone density in patients with CD and UC is about 42% (<xref ref-type="bibr" rid="B5">5</xref>). IBD has a higher risk of reduced bone density than the general population. This is due in part to the prolonged active phase of the disease. During the occurrence of inflammation, cytokines are produced that enhance bone resorption (increase RANKL&#x02014;RANK receptor ligand to OPG&#x02014;osteoprotegerin). During prolonged remission of the disease, patients may increase bone mineral density (BMD) (<xref ref-type="bibr" rid="B6">6</xref>). Patients with IBD often have progressive clinical symptoms due to worsening nutritional deficiencies, the treatment used, the inflammation present, or a genetic predisposition (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). After achieving remission in patients with IBD, without other risk factors for osteoporosis, bone turnover markers should return to normal. However, whether this is also the case in patients treated with TNF-alpha blocking drugs remains an open question. It is known that in terms of preventing bone loss, anti-TNF drugs do not have an advantage over traditional IBD treatment (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). However, more recent data indicate that anti-TNF&#x003B1; therapy is associated with increased bone turnover markers and decreased BMD in the femoral neck (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>The aim of the study was to determine whether bone mineral density and selected regulatory molecules [OC (osteocalcin), PTH (parathyroid hormone), SOST (sclerostin), FGF23 (fibroblast growth factor 23), DKK1 (Dickkopf-related protein 1), OPG, OPN (osteopontin)] in patients with IBD during remission maintenance treatment are normalized or remain outside normal limits.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Material and methods</title>
<sec>
<label>2.1</label>
<title>Study population</title>
<p>This was a single-center study conducted among patients with CD and UC. Patients recruited for the study received conventional treatment or anti- TNF-&#x003B1; therapy with ADA (adalimumab) or IFX (infliximab; without hormone therapy). It was carried out in the tertiary IBD center in Rzeszow (Poland), according to the Good Clinical Practice Guidelines, the Declaration of Helsinki principles, and was approved by the local Ethics Committee (KE-0254/68/2015 and 23/04/2016).</p>
<p>A total of 100 subjects were recruited for the study, including 35 subjects with a diagnosis of CD, 37 subjects with a diagnosis of UC, and 28 healthy volunteers who were in a suitable age-matched group for the study. Patients with IBD were in remission of the disease.</p>
<p>The main inclusion criteria for the study were: IBD diagnosis CD or UC at least 2 years before entry to the study remission phase of the disease, standard treatment with 5-aminosalicylic or a standard dose of an immunosuppressive drug (e.g., Azathioprine 1 mg/kg) or IFX or ADA.</p>
<p>The exclusion criteria for the study were: current steroid use, active phase of the disease, pregnancy, with chronic comorbidities or therapy that could affect bone turnover marker levels.</p>
<p>We verify the diagnosis of IBD according to the 2018 recommendations of the American College of Gastroenterology (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>) and the European Organization for Crohn&#x00027;s and Colitis (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>).</p>
</sec>
<sec>
<label>2.2</label>
<title>Measurement of bone density</title>
<p>The bone mineral density was assessed using dual-energy x-ray absorptiometry (DXA). The study was conducted at the University of Rzesz&#x000F3;w using a Lunar iDXA densitometer from GE Healthcare Lunar (Madison, Wisconsin, USA), which was equipped with enCORE software. Bone mineral density was measured in the lumbar spine (L2&#x02013;L4 area), the left femoral neck, and the entire body. The estimated precision errors for the above scan areas are 0.010 g/cm2 (1%) (<xref ref-type="bibr" rid="B16">16</xref>). The DXA scan was performed on patients on average 7.1 years after diagnosis (Me = 7 years, SD &#x000B1; 4.37, <italic>n</italic> = 54).</p>
</sec>
<sec>
<label>2.3</label>
<title>Measurement of bone turnover markers</title>
<p>Bone turnover markers in serum samples were measured using multiplex MILLIPLEX<sup>&#x000AE;</sup> Human Bone Magnetic Bead Panel (Millipore Sigma; St. Louis, MO) and MagPix (Diasorin; Austin, TX) instrument. According to the manufacturer, intra-assay CV was &#x0003C; 10% and inter-assay CV &#x0003C; 15%, with no cross-reactivity observed between analytes. Curve fitting and initial data analysis were performed with Belysa Immunoassay Curve Fitting Software (Millipore Sigma).</p>
</sec>
<sec>
<label>2.4</label>
<title>Laboratory assessments</title>
<p>All laboratory tests (hsCRP, calprotectin, blood morphology) were performed using routine commercial tests. CRP was measured using the CRP4 Tina-quant C-Reactive Protein IV CRP (Roche Diagnostics GmbH, Mannheim, Germany). Detection limit 0.1&#x02013;0.22 mg/L, sensitivity 0.042 mg/dL (0.42 mg/L), while calprotectin was measured using the B&#x000FC;hlmann fCAL turbo assay (B&#x000FC;hlmann Diagnostics, Sch&#x000F6;nenbuch, Switzerland; measuring range 20&#x02013;8000 &#x003BC;g/g).</p>
</sec>
<sec>
<label>2.5</label>
<title>Statistical analysis</title>
<p>All results are expressed as median, standard deviation. The Kruskal-Wallis test was used, followed by Dunn&#x00027;s <italic>post-hoc</italic> test with Bonferroni correction. For normally distributed variables, ANOVA with Tukey&#x00027;s HSD test was used, which automatically corrects the results for multiple comparisons. In the case of correlations, Spearman&#x00027;s rank correlation was used due to the skewed distribution of biochemical markers. All analyses were performed using Statistica version 13 computer statistical software licensed from the University of Rzeszow. A level of <italic>p</italic> &#x0003C; 0.05 was considered the level of statistical significance.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<label>3</label>
<title>Results</title>
<p>There were no significant differences between the groups (CD, UC and the control group) in terms of age, height, weight, body mass index (BMI) and, basic laboratory assessments like hemoglobin, high sensitivity C-reactive protein (hs-CRP) and calprotectin. The mean time to disease diagnosis was comparable between CD and UC (<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>).</p>
<p>All patients had no clinical symptoms of CD or UC followed by normal values of inflammatory markers, which confirmed remission of the disease. Moreover, within the last 6 months, all patients passed endoscopic examination which also confirmed endoscopic remission. The criteria for CD remission were a simple Endoscopic Score for Crohn&#x00027;s Disease (SES-CD) of no greater than 4, with at least a 2-point reduction compared to the baseline of induction and no subscore greater than 1 (<xref ref-type="bibr" rid="B17">17</xref>), and for UC as a Mayo endoscopy Subscore (MES) (<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>A detailed <italic>post-hoc</italic> analysis (Dunne&#x00027;s test with Bonferroni correction) revealed different patterns of significance for the markers studied. OPN values were significantly higher in the CD and UC groups compared to the control group (<italic>p</italic> &#x0003C; 0.001). In addition, statistically significant differences between groups were observed in OC levels (<italic>p</italic> = 0.028). The other markers (DKK1, OPG, SOST, PTH, and FGF23) did not show statistically significant differences (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Serum levels of bone turnover markers in the studied groups.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left" rowspan="2"><bold>Variables</bold></th>
<th valign="top" align="center" colspan="3"><bold>CD group</bold></th>
<th valign="top" align="center" colspan="3"><bold>UC group</bold></th>
<th valign="top" align="center" colspan="3"><bold>Control group</bold></th>
<th valign="top" align="center" rowspan="2"><bold><italic>p</italic>-value</bold></th>
</tr>
<tr>
<th valign="top" align="center"><bold>N</bold></th>
<th valign="top" align="center"><bold>Me</bold></th>
<th valign="top" align="center"><bold>IQR</bold></th>
<th valign="top" align="center"><bold>N</bold></th>
<th valign="top" align="center"><bold>Me</bold></th>
<th valign="top" align="center"><bold>IQR</bold></th>
<th valign="top" align="center"><bold>N</bold></th>
<th valign="top" align="center"><bold>Me</bold></th>
<th valign="top" align="center"><bold>IQR</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">DKK1 (pg/mL)</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">4,303.72</td>
<td valign="top" align="center">3,099.02</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">4,798.27</td>
<td valign="top" align="center">2,627.51</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">4,222.69</td>
<td valign="top" align="center">1,995.19</td>
<td valign="top" align="center">0.362</td>
</tr>
<tr>
<td valign="top" align="left">OPG (pg/mL)</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">561.08</td>
<td valign="top" align="center">244.14</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">666.59</td>
<td valign="top" align="center">327.71</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">604.11</td>
<td valign="top" align="center">192.00</td>
<td valign="top" align="center">0.272</td>
</tr>
<tr>
<td valign="top" align="left">OC (pg/mL)</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">21,318.54</td>
<td valign="top" align="center">30,557.49</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">21,018.84</td>
<td valign="top" align="center">26,565.15</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">43,977.93</td>
<td valign="top" align="center">73,437.61</td>
<td valign="top" align="center"><bold>0.028</bold></td>
</tr>
<tr>
<td valign="top" align="left">OPN (pg/mL)</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">19,345.59</td>
<td valign="top" align="center">11,439.38</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">15,735.60</td>
<td valign="top" align="center">20,380.77</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">7,951.33</td>
<td valign="top" align="center">5,727.69</td>
<td valign="top" align="center"><bold>&#x0003C; 0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">SOST (pg/mL)</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">817.95</td>
<td valign="top" align="center">1,795.60</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">1,726.65</td>
<td valign="top" align="center">1,492.10</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">968.05</td>
<td valign="top" align="center">1,182.75</td>
<td valign="top" align="center">0.147</td>
</tr>
<tr>
<td valign="top" align="left">PTH (pg/mL)</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">88.80</td>
<td valign="top" align="center">70.05</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">97.53</td>
<td valign="top" align="center">67.33</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">104.98</td>
<td valign="top" align="center">59.80</td>
<td valign="top" align="center">0.800</td>
</tr>
<tr>
<td valign="top" align="left">FGF23 (pg/mL)</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">64.72</td>
<td valign="top" align="center">29.43</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">69.68</td>
<td valign="top" align="center">21.98</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">71.38</td>
<td valign="top" align="center">19.00</td>
<td valign="top" align="center">0.083</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>DKK1, Dickkopf-related protein 1; OPG, osteoprotegerin; OC, osteocalcin, OPN, osteopontin, SOST, sclerostin; PTH, parathyroid hormone; FGF23, fibroblast growth factor 23; CD, Crohn&#x00027;s disease; UC, ulcerative colitis; Me, median; IQR, Interquartile range.</p>
</table-wrap-foot>
</table-wrap>
<p>There were no significant differences in L2&#x02013;L4 BMD, L2&#x02013;L4 T-score, L2&#x02013;L4 Z-score, Total Z-score, and BMC values between all study groups. Only the total T-score showed a significant difference between the groups (<italic>p</italic> = 0.005), with the highest values in the control group (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Differences between groups in bone mineral density and bone mineral content values.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left" rowspan="2"><bold>Variables</bold></th>
<th valign="top" align="center" colspan="3"><bold>CD</bold></th>
<th valign="top" align="center" colspan="3"><bold>UC</bold></th>
<th valign="top" align="center" colspan="3"><bold>Control group</bold></th>
<th valign="top" align="center" rowspan="2"><bold><italic>p</italic>-value</bold></th>
</tr>
<tr>
<th valign="top" align="center"><bold>N</bold></th>
<th valign="top" align="center"><bold>Mean</bold></th>
<th valign="top" align="center"><bold>SD</bold></th>
<th valign="top" align="center"><bold>N</bold></th>
<th valign="top" align="center"><bold>Mean</bold></th>
<th valign="top" align="center"><bold>SD</bold></th>
<th valign="top" align="center"><bold>N</bold></th>
<th valign="top" align="center"><bold>Mean</bold></th>
<th valign="top" align="center"><bold>SD</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">L2&#x02013;L4 BMD</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">1.169</td>
<td valign="top" align="center">0.161</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">1.182</td>
<td valign="top" align="center">0.160</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">1.227</td>
<td valign="top" align="center">0.153</td>
<td valign="top" align="center">0.337</td>
</tr>
<tr>
<td valign="top" align="left">L2&#x02013;L4 T-score</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">&#x02212;0.260</td>
<td valign="top" align="center">1.327</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">&#x02212;0.149</td>
<td valign="top" align="center">1.328</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">0.225</td>
<td valign="top" align="center">1.280</td>
<td valign="top" align="center">0.326</td>
</tr>
<tr>
<td valign="top" align="left">L2&#x02013;L4 Z-score</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">&#x02212;0.271</td>
<td valign="top" align="center">1.308</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">&#x02212;0.186</td>
<td valign="top" align="center">1.316</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">1.178</td>
<td valign="top" align="center">0.684</td>
</tr>
<tr>
<td valign="top" align="left">Total T-score</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">0.246</td>
<td valign="top" align="center">1.173</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">0.451</td>
<td valign="top" align="center">1.050</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">1.146</td>
<td valign="top" align="center">1.046</td>
<td valign="top" align="center"><bold>0.005</bold></td>
</tr>
<tr>
<td valign="top" align="left">Total Z-score</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">0.443</td>
<td valign="top" align="center">1.098</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">0.551</td>
<td valign="top" align="center">1.019</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">0.964</td>
<td valign="top" align="center">0.954</td>
<td valign="top" align="center">0.121</td>
</tr>
<tr>
<td valign="top" align="left">BMC</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">2,660.000</td>
<td valign="top" align="center">510.947</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">2,606.946</td>
<td valign="top" align="center">487.456</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">2,620.321</td>
<td valign="top" align="center">505.018</td>
<td valign="top" align="center">0.899</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>CD, Crohn&#x00027;s disease; UC, ulcerative colitis; SD, standard deviation; BMC, bone mineral content; BMD, bone mineral density.</p>
</table-wrap-foot>
</table-wrap>
<p>Analysis of the impact of treatment type (anti-TNF&#x003B1; vs. conventional therapy) on bone turnover markers showed a statistically significant difference only in the case of OC. Patients treated conventionally had significantly higher median OC concentrations compared to patients receiving biological treatment (<italic>p</italic> = 0.041). No significant differences were observed between the subgroups for the other biochemical markers (<italic>p</italic> &#x0003E; 0.05; <xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Comparison of serum bone turnover marker levels in patients receiving biological (anti-TNF&#x003B1;) vs. conventional treatment.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left" rowspan="2"><bold>Variables</bold></th>
<th valign="top" align="center" colspan="3"><bold>anti-TNF</bold>&#x003B1; <bold>treatment</bold></th>
<th valign="top" align="center" colspan="3"><bold>Conventional treatment</bold></th>
<th valign="top" align="center" rowspan="2"><bold><italic>p</italic>-value</bold></th>
</tr>
<tr>
<th valign="top" align="center"><bold>N</bold></th>
<th valign="top" align="center"><bold>Me</bold></th>
<th valign="top" align="center"><bold>IQR</bold></th>
<th valign="top" align="center"><bold>N</bold></th>
<th valign="top" align="center"><bold>Me</bold></th>
<th valign="top" align="center"><bold>IQR</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">DKK1 (pg/mL)</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">4,503.75</td>
<td valign="top" align="center">2,814.67</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">4,339.54</td>
<td valign="top" align="center">3,172.58</td>
<td valign="top" align="center">0.750</td>
</tr>
<tr>
<td valign="top" align="left">OPG (pg/mL)</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">561.08</td>
<td valign="top" align="center">273.64</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">676.23</td>
<td valign="top" align="center">212.66</td>
<td valign="top" align="center">0.254</td>
</tr>
<tr>
<td valign="top" align="left">OC (pg/mL)</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">20,919.74</td>
<td valign="top" align="center">24,122.55</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">35,069.54</td>
<td valign="top" align="center">43,691.44</td>
<td valign="top" align="center"><bold>0.041</bold></td>
</tr>
<tr>
<td valign="top" align="left">OPN (pg/mL)</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">18,947.26</td>
<td valign="top" align="center">19,147.71</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">17,727.19</td>
<td valign="top" align="center">13,909.93</td>
<td valign="top" align="center">0.624</td>
</tr>
<tr>
<td valign="top" align="left">SOST (pg/mL)</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">893.00</td>
<td valign="top" align="center">1,721.41</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">1,633.86</td>
<td valign="top" align="center">1,671.02</td>
<td valign="top" align="center">0.404</td>
</tr>
<tr>
<td valign="top" align="left">PTH (pg/mL)</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">84.42</td>
<td valign="top" align="center">77.44</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">97.53</td>
<td valign="top" align="center">39.93</td>
<td valign="top" align="center">0.952</td>
</tr>
<tr>
<td valign="top" align="left">FGF23 (pg/mL)</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">67.20</td>
<td valign="top" align="center">19.26</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">70.01</td>
<td valign="top" align="center">38.91</td>
<td valign="top" align="center">0.176</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>DKK1, Dickkopf-related protein 1; OPG, osteoprotegerin; OC, osteocalcin; OPN, osteopontin; SOST, sclerostin; PTH, parathyroid hormone; FGF23, fibroblast growth factor 23; Me, median; IQR, interquartile range; Statistical significance assessed using Mann-Whitney U test.</p>
</table-wrap-foot>
</table-wrap>
<p>There were no differences in L2&#x02013;L4 BMD, L2&#x02013;L4 T-score, L2&#x02013;L4 Z-score, Total T-score, Total Z-score, and BMC values between the biologically and conventionally treated groups (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Comparison of bone mineral density and bone mineral content in patients receiving biological (anti-TNF&#x003B1;) vs. conventional treatment.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left" rowspan="2"><bold>Variables</bold></th>
<th valign="top" align="center" colspan="3"><bold>Anti-TNF</bold>&#x003B1; <bold>treatment</bold></th>
<th valign="top" align="center" colspan="3"><bold>Conventional treatment</bold></th>
<th valign="top" align="center" rowspan="2"><bold><italic>p</italic>-value</bold></th>
</tr>
<tr>
<th valign="top" align="center"><bold>N</bold></th>
<th valign="top" align="center"><bold>Mean</bold></th>
<th valign="top" align="center"><bold>SD</bold></th>
<th valign="top" align="center"><bold>N</bold></th>
<th valign="top" align="center"><bold>Mean</bold></th>
<th valign="top" align="center"><bold>SD</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">L2&#x02013;L4 BMD</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">1.171</td>
<td valign="top" align="center">0.161</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">1.193</td>
<td valign="top" align="center">0.156</td>
<td valign="top" align="center">0.620</td>
</tr>
<tr>
<td valign="top" align="left">L2&#x02013;L4 T-score</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">&#x02212;0.251</td>
<td valign="top" align="center">1.339</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">&#x02212;0.047</td>
<td valign="top" align="center">1.277</td>
<td valign="top" align="center">0.581</td>
</tr>
<tr>
<td valign="top" align="left">L2&#x02013;L4 Z-score</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">&#x02212;0.295</td>
<td valign="top" align="center">1.316</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">&#x02212;0.012</td>
<td valign="top" align="center">1.276</td>
<td valign="top" align="center">0.438</td>
</tr>
<tr>
<td valign="top" align="left">Total T-score</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">0.311</td>
<td valign="top" align="center">1.138</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">0.482</td>
<td valign="top" align="center">1.025</td>
<td valign="top" align="center">0.581</td>
</tr>
<tr>
<td valign="top" align="left">Total Z-score</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">0.449</td>
<td valign="top" align="center">1.064</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">0.659</td>
<td valign="top" align="center">1.030</td>
<td valign="top" align="center">0.477</td>
</tr>
<tr>
<td valign="top" align="left">BMC</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">2,625.436</td>
<td valign="top" align="center">515.226</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">2,656.353</td>
<td valign="top" align="center">442.567</td>
<td valign="top" align="center">0.824</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>SD, standard deviation; BMC, bone mineral content; BMD, bone mineral density; Statistical significance assessed using independent samples t-test.</p>
</table-wrap-foot>
</table-wrap>
<p>The only significant correlation in patients treated with anti-TNF&#x003B1; was a negative correlation between FGF23 concentration and BMC (rho = &#x02212;0.36; <italic>p</italic> &#x0003C; 0.05). However, no significant correlations were found between the other bone markers (DKK1, OPG, OC, OPN, SOST, and PTH) and bone density indices in this subgroup. Within the biochemical markers themselves, a statistically significant positive correlation was observed between DKK1 protein and OPG (rho = 0.41; <italic>p</italic> &#x0003C; 0.05) and a significant negative correlation between SOST and OC (rho = &#x02212;0.43; <italic>p</italic> &#x0003C; 0.05; <xref ref-type="table" rid="T5">Table 5</xref>).</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Correlation analysis of bone turnover markers and bone density indices in a group of patients receiving anti-TNF&#x003B1; treatment.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Parameters</bold></th>
<th valign="top" align="center"><bold>L2&#x02013;L4 BMD</bold></th>
<th valign="top" align="center"><bold>L2&#x02013;L4 T-score</bold></th>
<th valign="top" align="center"><bold>Total T-score</bold></th>
<th valign="top" align="center"><bold>BMC</bold></th>
<th valign="top" align="center"><bold>DKK1</bold></th>
<th valign="top" align="center"><bold>OPG</bold></th>
<th valign="top" align="center"><bold>OC</bold></th>
<th valign="top" align="center"><bold>OPN</bold></th>
<th valign="top" align="center"><bold>SOST</bold></th>
<th valign="top" align="center"><bold>PTH</bold></th>
<th valign="top" align="center"><bold>FGF23</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">L2&#x02013;L4 BMD</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">1.00<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.68<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.71<sup>&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.05</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">&#x02212;0.09</td>
<td valign="top" align="center">&#x02212;0.29</td>
</tr>
<tr>
<td valign="top" align="left">L2&#x02013;L4 T-score</td>
<td valign="top" align="center">1.00<sup>&#x0002A;</sup></td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0.67<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.71<sup>&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.05</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">&#x02212;0.09</td>
<td valign="top" align="center">&#x02212;0.29</td>
</tr>
<tr>
<td valign="top" align="left">Total T-score</td>
<td valign="top" align="center">0.68<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.67<sup>&#x0002A;</sup></td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0.67<sup>&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.19</td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">&#x02212;0.12</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">&#x02212;0.23</td>
</tr>
<tr>
<td valign="top" align="left">BMC</td>
<td valign="top" align="center">0.71<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.71<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.67<sup>&#x0002A;</sup></td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">&#x02212;0.17</td>
<td valign="top" align="center">&#x02212;0.18</td>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">&#x02212;0.06</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">&#x02212;0.36<sup>&#x0002A;</sup></td>
</tr>
<tr>
<td valign="top" align="left">DKK1</td>
<td valign="top" align="center">&#x02212;0.05</td>
<td valign="top" align="center">&#x02212;0.05</td>
<td valign="top" align="center">&#x02212;0.19</td>
<td valign="top" align="center">&#x02212;0.17</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0.41<sup>&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.21</td>
<td valign="top" align="center">&#x02212;0.05</td>
<td valign="top" align="center">&#x02212;0.03</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="left">OPG</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center">&#x02212;0.18</td>
<td valign="top" align="center">0.41<sup>&#x0002A;</sup></td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">&#x02212;0.04</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.21</td>
</tr>
<tr>
<td valign="top" align="left">OC</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center">&#x02212;0.21</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">&#x02212;0.23</td>
<td valign="top" align="center">&#x02212;0.43<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">&#x02212;0.21</td>
</tr>
<tr>
<td valign="top" align="left">OPN</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">&#x02212;0.12</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">&#x02212;0.05</td>
<td valign="top" align="center">&#x02212;0.04</td>
<td valign="top" align="center">&#x02212;0.23</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.10</td>
</tr>
<tr>
<td valign="top" align="left">SOST</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">&#x02212;0.06</td>
<td valign="top" align="center">&#x02212;0.03</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">&#x02212;0.43<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.11</td>
</tr>
<tr>
<td valign="top" align="left">PTH</td>
<td valign="top" align="center">&#x02212;0.09</td>
<td valign="top" align="center">&#x02212;0.09</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td valign="top" align="left">FGF23</td>
<td valign="top" align="center">&#x02212;0.29</td>
<td valign="top" align="center">&#x02212;0.29</td>
<td valign="top" align="center">&#x02212;0.23</td>
<td valign="top" align="center">&#x02212;0.36<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">&#x02212;0.21</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">-</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;</sup>p &#x0003C; 0.05.</p>
<p>BMC, bone mineral content; BMD, bone mineral density; DKK1, Dickkopf-related protein 1; OPG, osteoprotegerin; OC, osteocalcin; OPN, osteopontin; SOST, sclerostin; PTH, parathyroid hormone; FGF23, fibroblast growth factor 23, Spearman&#x00027;s rank correlation coefficient was used due to non-normal distribution of biochemical markers.</p>
</table-wrap-foot>
</table-wrap>
<p>In the group of patients treated conventionally, a negative correlation was found between FGF23 and BMC (rho = &#x02212;0.59; <italic>p</italic> &#x0003C; 0.05). In addition, a strong positive correlation was observed between PTH and SOST (rho = 0.61; <italic>p</italic> &#x0003C; 0.05). However, no direct correlations were found between the other markers (DKK1, OPG, OC, and OPN) and bone density indices (<xref ref-type="table" rid="T6">Table 6</xref>).</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Correlation analysis of bone turnover markers and bone density indices in a group of conventional treatment.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Parameters</bold></th>
<th valign="top" align="center"><bold>L2&#x02013;L4 BMD</bold></th>
<th valign="top" align="center"><bold>L2&#x02013;L4 T-score</bold></th>
<th valign="top" align="center"><bold>Total T-score</bold></th>
<th valign="top" align="center"><bold>BMC</bold></th>
<th valign="top" align="center"><bold>DKK1</bold></th>
<th valign="top" align="center"><bold>OPG</bold></th>
<th valign="top" align="center"><bold>OC</bold></th>
<th valign="top" align="center"><bold>OPN</bold></th>
<th valign="top" align="center"><bold>SOST</bold></th>
<th valign="top" align="center"><bold>PTH</bold></th>
<th valign="top" align="center"><bold>FGF23</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">L2&#x02013;L4 BMD</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">1.00<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.86<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">&#x02212;0.34</td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">&#x02212;0.33</td>
<td valign="top" align="center">&#x02212;0.11</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">&#x02212;0.15</td>
</tr>
<tr>
<td valign="top" align="left">L2&#x02013;L4 T-score</td>
<td valign="top" align="center">1.00<sup>&#x0002A;</sup></td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0.87<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">&#x02212;0.34</td>
<td valign="top" align="center">&#x02212;0.06</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">&#x02212;0.31</td>
<td valign="top" align="center">&#x02212;0.12</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">&#x02212;0.18</td>
</tr>
<tr>
<td valign="top" align="left">Total T-score</td>
<td valign="top" align="center">0.86<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.87<sup>&#x0002A;</sup></td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">&#x02212;0.25</td>
<td valign="top" align="center">&#x02212;0.16</td>
<td valign="top" align="center">&#x02212;0.27</td>
<td valign="top" align="center">&#x02212;0.37</td>
<td valign="top" align="center">&#x02212;0.17</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">&#x02212;0.21</td>
</tr>
<tr>
<td valign="top" align="left">BMC</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">&#x02212;0.01</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.48</td>
<td valign="top" align="center">&#x02212;0.09</td>
<td valign="top" align="center">&#x02212;0.59<sup>&#x0002A;</sup></td>
</tr>
<tr>
<td valign="top" align="left">DKK1</td>
<td valign="top" align="center">&#x02212;0.34</td>
<td valign="top" align="center">&#x02212;0.34</td>
<td valign="top" align="center">&#x02212;0.25</td>
<td valign="top" align="center">&#x02212;0.01</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">&#x02212;0.11</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">&#x02212;0.04</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">&#x02212;0.01</td>
</tr>
<tr>
<td valign="top" align="left">OPG</td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center">&#x02212;0.06</td>
<td valign="top" align="center">&#x02212;0.16</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.42</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">&#x02212;0.08</td>
<td valign="top" align="center">0.24</td>
</tr>
<tr>
<td valign="top" align="left">OC</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">&#x02212;0.27</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">&#x02212;0.11</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">&#x02212;0.15</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">&#x02212;0.01</td>
</tr>
<tr>
<td valign="top" align="left">OPN</td>
<td valign="top" align="center">&#x02212;0.33</td>
<td valign="top" align="center">&#x02212;0.31</td>
<td valign="top" align="center">&#x02212;0.37</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">0.42</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">&#x02212;0.42</td>
<td valign="top" align="center">&#x02212;0.34</td>
</tr>
<tr>
<td valign="top" align="left">SOST</td>
<td valign="top" align="center">&#x02212;0.11</td>
<td valign="top" align="center">&#x02212;0.12</td>
<td valign="top" align="center">&#x02212;0.17</td>
<td valign="top" align="center">0.48</td>
<td valign="top" align="center">&#x02212;0.04</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">&#x02212;0.15</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0.61<sup>&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.21</td>
</tr>
<tr>
<td valign="top" align="left">PTH</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">&#x02212;0.09</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">&#x02212;0.08</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">&#x02212;0.42</td>
<td valign="top" align="center">0.61<sup>&#x0002A;</sup></td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0.31</td>
</tr>
<tr>
<td valign="top" align="left">FGF23</td>
<td valign="top" align="center">&#x02212;0.15</td>
<td valign="top" align="center">&#x02212;0.18</td>
<td valign="top" align="center">&#x02212;0.21</td>
<td valign="top" align="center">&#x02212;0.59<sup>&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.01</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">&#x02212;0.01</td>
<td valign="top" align="center">&#x02212;0.34</td>
<td valign="top" align="center">&#x02212;0.21</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">-</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;</sup>p &#x0003C; 0.05.</p>
<p>BMC, bone mineral content; BMD, bone mineral density; DKK1, Dickkopf-related protein 1; OPG, osteoprotegerin; OC, osteocalcin; OPN, osteopontin; SOST, sclerostin; PTH, parathyroid hormone; FGF23, fibroblast growth factor 23, Spearman&#x00027;s rank correlation coefficient was used due to non-normal distribution of biochemical markers.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec sec-type="discussion" id="s4">
<label>4</label>
<title>Discussion</title>
<p>Chronic inflammation persistent in IBD patients may significantly impact bone turnover. Although it was shown in both CD and UC that bone loss is associated with the action of pro-inflammatory (<xref ref-type="bibr" rid="B19">19</xref>&#x02013;<xref ref-type="bibr" rid="B21">21</xref>). However, patients with CD at higher risk of skeletal pathology compared to those with UC (<xref ref-type="bibr" rid="B22">22</xref>). Bone marrow TNF-&#x003B1; cells show the ability to promote osteoclastogenesis and excessive bone resorption (<xref ref-type="bibr" rid="B23">23</xref>). CX3CL1 expression can promote M1 macrophage polarization and osteoclast differentiation, while inhibition of CX3CL1 expression can reduce inflammation, thereby reducing the predisposition to reduced bone density (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). IBD treatment aims to reduce inflammation, resulting in reduced bone resorption and increased BMD (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). Treatment with anti-TNF&#x003B1; through various mechanisms affects the activity of both osteoclasts and osteoblasts (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>In our study, BMD (lumbar) and BMC values were similar between the study groups, with the exception of the T-score, which was lower in patients with IBD, especially in CD. Similar results were obtained by Cort&#x000E9;s-Berdonces et al. (<xref ref-type="bibr" rid="B29">29</xref>) which confirms a certain regularity. However, no differences in BMD and BMC were observed between patients depending on the therapy used, although some data suggest an improvement in BMD after anti-TNF&#x003B1; treatment (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). As shown by Pazianas et al. (<xref ref-type="bibr" rid="B31">31</xref>), an increase in BMD was observed mainly with the simultaneous use of infliximab and bisphosphonates, while infliximab treatment alone did not affect BMD.</p>
<p>The most pronounced difference between the groups was elevated OPN levels in patients with CD and UC compared to controls. Although the results of the studies are inconsistent, some authors confirm similar observations (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Furthermore, Mishima et al. (<xref ref-type="bibr" rid="B34">34</xref>) found a positive correlation between serum OPN levels and clinical activity indices in patients with IBD, and therefore propose that OPN be used as a clinical marker of disease activity. OPN reflected inflammation in the colon and rectum, as its plasma levels were reduced and correlations completely disappeared after proctocolectomy (<xref ref-type="bibr" rid="B34">34</xref>). In our study, patients were in remission, which may explain the absence of such correlations. However, elevated OPN may reflect increased bone cell activity and constitute a late marker of bone formation, which does not necessarily normalize after anti-TNF&#x003B1; therapy, despite reduced disease activity (<xref ref-type="bibr" rid="B35">35</xref>).</p>
<p>With regard to OC, OPG, SOST, PTH, and FGF23, no significant differences were found between patients with CD, UC, and controls, which may indicate a beneficial effect of maintaining remission on bone metabolism parameters. OPG, as an inhibitor of bone resorption by blocking RANKL-RANK interaction (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>), should theoretically be modulated by TNF-&#x003B1; and anti-TNF&#x003B1; treatment (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>). However, the literature is inconsistent: some studies indicate lower OPG levels (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B40">40</xref>), others higher in selected groups (<xref ref-type="bibr" rid="B41">41</xref>&#x02013;<xref ref-type="bibr" rid="B43">43</xref>). Miheller et al. (<xref ref-type="bibr" rid="B44">44</xref>) demonstrated a decrease in OPG after anti-TNF&#x003B1; treatment, whereas in our study, the levels were similar between the groups, with slightly lower values in CD. It is likely that the diagnostic value of OPG may be limited in the assessment of bone metabolic activity in this group of patients</p>
<p>With regard to the Wnt pathway, DKK-1 plays a role in the pathogenesis of CD and bone metabolism (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>). The reduction in DKK-1 in pediatric patients treated with anti-TNF&#x003B1; (<xref ref-type="bibr" rid="B45">45</xref>) indicates the potential involvement of this pathway in epithelial regeneration and bone remodeling. In our study, DKK-1 levels did not differ significantly between treatment groups, which may reflect the complex regulation of this molecule. The observed positive correlation of DKK-1 with OPG in patients treated with anti-TNF&#x003B1; can be interpreted as a compensatory element in response to chronic inflammation. Similarly, SOST, which acts by inhibiting the Wnt pathway (<xref ref-type="bibr" rid="B47">47</xref>), showed no differences between treatment groups, although its values were lower in CD, consistent with other reports (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B48">48</xref>). Anti-SOST antibody therapy has the potential to restore bone mass (<xref ref-type="bibr" rid="B46">46</xref>), but in our study, OC, which is functionally related to osteoblast activity, did not differ significantly between groups and was lower in patients treated with biologics, although the literature indicates a possible increase in OC after anti-TNF&#x003B1; therapy (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B49">49</xref>).</p>
<p>Furthermore, OC was negatively correlated with SOST in this group of patients, which may suggest that higher SOST activity may be associated with inhibition of osteoblast activity. However, reduced values of these parameters may suggest an imbalance in bone metabolism resulting from chronic inflammation. Marini et al. (<xref ref-type="bibr" rid="B50">50</xref>) indicate that treatment with monoclonal antibodies against SOST may promote bone mass restoration, thus preventing bone fractures caused by bone fragility. PTH has been shown to increase calcium reabsorption and inhibit phosphate reabsorption (<xref ref-type="bibr" rid="B51">51</xref>).</p>
<p>With regard to PTH, we observed negative correlations between PTH and some DXA parameters, in line with previous reports (<xref ref-type="bibr" rid="B52">52</xref>). However, no changes in PTH were found depending on the therapy, which is consistent with some studies (<xref ref-type="bibr" rid="B53">53</xref>), although others suggest an increase in OC after anti-TNF&#x003B1; therapy (<xref ref-type="bibr" rid="B54">54</xref>). FGF23, synthesized by osteocytes and osteoblasts, may correlate with inflammation and bone turnover (<xref ref-type="bibr" rid="B55">55</xref>). Exacerbation of IBD is associated with elevated FGF23 and lower BMD (<xref ref-type="bibr" rid="B56">56</xref>). In our study, we observed a negative correlation between FGF23 and BMD in patients treated with anti-TNF&#x003B1;, consistent with previous observations (<xref ref-type="bibr" rid="B56">56</xref>). At the same time, its levels did not differ between therapies, and the positive correlation of FGF23 with BMC may indicate secondary, compensatory changes in the hormonal axis (<xref ref-type="bibr" rid="B57">57</xref>&#x02013;<xref ref-type="bibr" rid="B59">59</xref>).</p>
<p>The results of our study confirm the presence of bone metabolism abnormalities, which may be present during clinical remission. Therefore, it is worth considering a multimineral supplement for such patients with IBD (<xref ref-type="bibr" rid="B60">60</xref>). Biological treatment did not have a clear effect on most of the bone markers we studied, suggesting a varied response to therapies and multifactorial regulation of bone metabolism in IBD. This points to the need for further studies evaluating the long-term effects of chronic inflammation and the treatment used on the skeletal system, taking into account the clinical stage of the disease and the differences between CD and UC. However, individual conclusions cannot be extrapolated to the entire remission.</p>
</sec>
<sec id="s5">
<label>5</label>
<title>Limitations</title>
<p>Our study also has certain limitations. It was a cross-sectional study, and all biochemical and densitometric measurements were taken at a single point in time, during remission of the disease. Therefore, the results obtained reflect the state of bone turnover during maintenance treatment and do not allow for the assessment of changes over time or for conclusions to be drawn about the impact of therapy. In the future, it would also be useful to include information on the individual clinical data of all participants, including detailed disease activity indices (e.g., the Mayo scale) and a complete history of supplementation. The lack of this information may have been an uncontrolled confounding factor affecting the assessed markers of bone turnover. In addition, the study did not measure reference markers of bone turnover, such as P1NP and CTX, due to technical limitations and the availability of laboratory methods. This limits the ability to directly compare the results obtained with other studies using these standard parameters.</p>
</sec>
<sec id="s6">
<label>6</label>
<title>Conclusions</title>
<p>Our results indicate that the choice of anti-TNF&#x003B1; therapy should not be based on the expected differential effects of individual drugs on bone metabolism. Decisions regarding biological therapy should therefore continue to focus primarily on controlling disease activity, while bone status requires parallel and independent assessment and monitoring. In this context, bone turnover markers can serve as complementary tools for identifying patients who require more intensive monitoring or additional supportive interventions to prevent long-term bone complications.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s7">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="s8">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Bioethics Committee of the Medical University of Lublin (KE-0254/68/2015) and Bioethics Committee of Rzesz&#x000F3;w University (23/04/2016). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="s9">
<title>Author contributions</title>
<p>SJ-C: Data curation, Investigation, Project administration, Visualization, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. PK: Investigation, Methodology, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. DP: Data curation, Investigation, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. AS-D: Data curation, Visualization, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. WG: Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. RR: Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. JS: Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. RF: Conceptualization, Formal analysis, Methodology, Supervision, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s11">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s12">
<title>Publisher&#x00027;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>
<sec sec-type="supplementary-material" id="s13">
<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/fmed.2026.1729584/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmed.2026.1729584/full#supplementary-material</ext-link></p>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1503584/overview">Abhinav Vasudevan</ext-link>, Eastern Health, Australia</p>
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<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1014554/overview">Muhammad Nadeem Aslam</ext-link>, The University of Michigan Medical School, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3271342/overview">Proteek Sen</ext-link>, Birmingham Children&#x00027;s Hospital, United Kingdom</p>
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