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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Physiol.</journal-id>
<journal-title>Frontiers in Physiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Physiol.</abbrev-journal-title>
<issn pub-type="epub">1664-042X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1649477</article-id>
<article-id pub-id-type="doi">10.3389/fphys.2025.1649477</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Physiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Correlation analysis of osteoporosis and vertebral endplate defects using CT and MRI imaging: a retrospective cross-sectional study</article-title>
<alt-title alt-title-type="left-running-head">Hao et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphys.2025.1649477">10.3389/fphys.2025.1649477</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Hao</surname>
<given-names>Song</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2308621/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yuxiao</surname>
<given-names>Luo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Huilan</surname>
<given-names>Li</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jun</surname>
<given-names>Hua</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/Project administration/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Dong</surname>
<given-names>Liu</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Orthopaedics, Hospital Affiliated to Hangzhou Normal University</institution>, <addr-line>Hangzhou</addr-line>, <addr-line>Zhejiang</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Orthopaedics, The Second Affiliated Hospital of Soochow University</institution>, <addr-line>Suzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Suzhou High-Tech Zone Yangshan Community Health Service Center</institution>, <addr-line>Suzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/186681/overview">Guanwu Li</ext-link>, Shanghai University of Traditional Chinese Medicine, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/23236/overview">Nicolau Beckmann</ext-link>, Novartis Institutes for BioMedical Research, Switzerland</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1568059/overview">Grzegorz Tato&#x144;</ext-link>, Jagiellonian University, Poland</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3087681/overview">G&#xf6;rkem A&#xe7;ar</ext-link>, Manisa Celal Bayar University, T&#xfc;rkiye</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Liu Dong, <email>32982950@qq.com</email>; Hua Jun, <email>2265181425@qq.com</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1649477</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Hao, Yuxiao, Huilan, Jun and Dong.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Hao, Yuxiao, Huilan, Jun and Dong</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>
<sec>
<title>Background</title>
<p>Osteoporosis (OP) and vertebral endplate defects are important manifestations of vertebral degenerative changes that greatly affect the quality of life of elderly people. This study investigated the potential association between vertebral endplate defects and osteoporosis using imaging modalities.</p>
</sec>
<sec>
<title>Methods</title>
<p>Computed tomography (CT), magnetic resonance imaging (MRI), bone mineral density (BMD) and other relevant imaging data, as well as age, sex, body mass index (BMI), and degree of low back pain data, were retrospectively analysed. The vertebral Hounsfield unit (HU) value and the maximum width and maximum depth of the vertebral endplate defect were measured and standardized. A HU &#x3c;110 was defined as OP. Logistic regression was used to identify the risk factors for vertebral endplate defects.</p>
</sec>
<sec>
<title>Results</title>
<p>Demographic data from a total of 199 patients were included in this study, along with data from 995 vertebral bodies. The relationships between the HU value and other data between the vertebral body defect group and the nonvertebral body defect group were compared. We found significant differences in age (70.6 &#xb1; 8.4 vs. 63.8 &#xb1; 9.5, p &#x3c; 0.001), sex (male/female) (26/69 vs. 43/61, p &#x3c; 0.05), BMI (23.8 &#xb1; 3.4 vs. 24.8 &#xb1; 3.4, p &#x3c; 0.05), and total spine HUs (84.65 &#xb1; 35.49 vs. 124.86 &#xb1; 49.59, p &#x3c; 0.001). The lower HU group had larger endplate defects (p &#x3c; 0.001, p &#x3c; 0.01), and the lower endplates had a greater standardized defect width and cumulative defect score than the upper endplates (p &#x3c; 0.01). There were statistically significant associations between endplate defects and age (OR &#x3d; 1.0, p &#x3d; 0.042) and total spine HUs (OR &#x3d; 0.98, p &#x3d; 0.001).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>There was a correlation between OP and the size of the vertebral endplate defect, and the defect size increased with decreasing bone mass. According to our results, vertebral endplate defects are more likely to occur in elderly individuals, females, and individuals with OP. With respect to the spinal structure, vertebral endplate defects are more likely to occur in the upper lumbar spine. Age and bone mass are the main factors associated with vertebral endplate defects.</p>
</sec>
</abstract>
<kwd-group>
<kwd>osteoporosis</kwd>
<kwd>bone mineral density</kwd>
<kwd>vertebral endplate defects</kwd>
<kwd>HU value</kwd>
<kwd>MRI</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Skeletal Physiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Osteoporosis (OP) is a degenerative disease characterized by reduced bone mass and bone structural degeneration, which leads to changes in the bone microarchitecture and imbalances in bone homeostasis. OP is often closely related to bone pain and fragility fractures (<xref ref-type="bibr" rid="B1">Akkawi and Zmerly, 2018</xref>). In China, the prevalence of OP in women over 50 years old is 29%. In the United States, an estimated 10.2 million people 50 years or older have OP (<xref ref-type="bibr" rid="B3">Black and Rosen, 2016</xref>), and it is estimated that by the end of 2025, the economic burden of OP will reach USD 25.3 billion in the United States alone (<xref ref-type="bibr" rid="B18">Johnell and Kanis, 2006</xref>).</p>
<p>The vertebral endplate is a thin layer of tissue located on both sides of the intervertebral disc composed of cartilage and bone. The vertebral endplates constitute the mechanical interface between the intervertebral disc and the vertebral body and facilitate the even distribution of compressive stress across the vertebral body. In addition, the endplates contain bone marrow contact channels, which provide nutrients to the intervertebral discs, excrete metabolic wastes by diffusion, and enable the flow of fluid under cyclic loading (<xref ref-type="bibr" rid="B16">Holm et al., 1981</xref>; <xref ref-type="bibr" rid="B27">Mattei, 2013</xref>). Endplate defects can promote communication and continuous cross-talk between the intervertebral disc and vertebral body, which may lead to a persistent inflammatory state in the vertebral marrow and become an important source of low back pain. The relatively thin and perforated physiological structure of the vertebral endplate cannot bear the long-term compressive load and is prone to fracture and defect. Currently, some of studies have confirmed the connection between osteoporosis and endplate injury (<xref ref-type="bibr" rid="B11">Ferrar et al., 2007</xref>; <xref ref-type="bibr" rid="B12">Ferrar et al., 2012</xref>; <xref ref-type="bibr" rid="B14">Fujiwara et al., 2019</xref>; <xref ref-type="bibr" rid="B17">Homminga et al., 2001</xref>; <xref ref-type="bibr" rid="B21">Lentle et al., 2021</xref>; <xref ref-type="bibr" rid="B41">Wang et al., 2019</xref>; <xref ref-type="bibr" rid="B46">Zhang et al., 2021</xref>). With respect to whether OP further aggravates vertebral endplate destruction by affecting the bone microenvironment and increasing the fragility of the endplate, only a few studies have reported the relationships among these diseases. Xiao et al. reported OP-induced abnormal porosity in the cartilage endplates and harmful effects on the endplates caused by OP (<xref ref-type="bibr" rid="B42">Xiao et al., 2018</xref>). Wang et al. reported that vertebral endplate injury occurred in OP model rats (<xref ref-type="bibr" rid="B40">Wang et al., 2014</xref>). The pathogenic relationship between OP and vertebral endplate injury remains unclear.</p>
<p>As a mature bone mineral density (BMD) evaluation technology, dual-energy X-ray absorptiometry (DXA) is used in clinical diagnosis, but many studies have confirmed that vertebral hyperplasia, facet joint sclerosis, scoliosis, osteophyte and pannus formation can cause DXA measurement errors (<xref ref-type="bibr" rid="B42">Xiao et al., 2018</xref>; <xref ref-type="bibr" rid="B4">Bland et al., 2022</xref>). Recently, many experts have introduced and recommended an alternative method of assessing BMD in patients via the Hounsfield unit (HU) value through computed tomography (CT). Studies have confirmed that there is a suitable correlation between local BMD and HUs measured via CT (<xref ref-type="bibr" rid="B2">Alawi et al., 2021</xref>; <xref ref-type="bibr" rid="B20">Lee et al., 2013</xref>; <xref ref-type="bibr" rid="B33">Schreiber et al., 2011</xref>; <xref ref-type="bibr" rid="B34">Silva et al., 2012</xref>; <xref ref-type="bibr" rid="B51">Zou et al., 2020</xref>; <xref ref-type="bibr" rid="B44">Xue et al., 2024</xref>), and measurement errors caused by vertebral hyperplasia and facet joint sclerosis are avoided (<xref ref-type="bibr" rid="B19">Leboff et al., 2022</xref>).</p>
<p>X-ray, CT, and magnetic resonance imaging (MRI) can all visualize the vertebral endplates. Among them, MRI is considered the most sensitive and effective way to detect subtle changes in the structure of the endplate. Therefore, MRI can better reveal different degrees of endplate injury.</p>
<p>Recent studies on the relationship between OP and vertebral endplate defects involve qualitative grading rather than accurate measurement. Moreover, recent studies have reported that OP is closely related to the total endplate (TEP) score of vertebral endplate defects (<xref ref-type="bibr" rid="B49">Zhuang et al., 2021</xref>); however, the size and morphology of the endplate defect often affect other phenotypes, such as the high-density zone (HIZ), disc displacement, and facet joint changes. (<xref ref-type="bibr" rid="B23">Li et al., 2023</xref>). In view of these limitations, it is necessary to further investigate the relationship between OP and the phenotype and distribution of vertebral endplate defects and to further understand how OP is involved in the process of vertebral degenerative diseases.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and methods</title>
<sec id="s2-1">
<title>Study participants</title>
<p>PASS version 15.0 (NCSS, Caseville, Utah, United States) was used to calculate the required sample size. The data of all inpatients in the Orthopaedic Department of our hospital from January 2020 to December 2024 were analysed. The inclusion criteria were complete clinical data, including sex, age, height, weight, CT scan of the thoracolumbar spine, MRI of the thoracolumbar spine, and BMD. In addition, low back pain scores were measured via a visual analogue scale (VAS) (<xref ref-type="sec" rid="s13">Supplementary Figure S1</xref>) to evaluate the severity of low back pain. The exclusion criteria were previous lumbar surgery history; spinal tuberculosis; spinal tumours; scoliosis; new vertebral fractures; patients with a history of spinal infections and other nonspecific infections; congenital spine diseases; and severe underlying diseases, such as heart, craniocerebral, and acute and chronic diseases of the lung and kidneys; and patients with rheumatoid arthritis, ankylosing spondylitis and other immune system diseases and genetic diseases. Demographic data such as sex, age, weight, and body mass index (BMI) were recorded and analysed. We confirmed that all patients involved in the study provided written and verbal informed consent, which was approved by the institutional ethics committee, and that all the data were anonymous and confidential. This study protocol was approved by the Institutional Ethics Committee of the Second Affiliated Hospital of Soochow University (JD-HG-2024-019) and implemented in accordance with the principles of the 1975 Declaration of Helsinki.</p>
</sec>
<sec id="s2-2">
<title>DXA</title>
<p>All patients underwent dual-energy X-ray absorptiometry (DXA) examination of lumbar spine (L1-L4) using Prodigy Pro Compact (GE Healthcare, United States). Obtain the lumbar bone mineral density (BMD) and T-score of the participants.</p>
</sec>
<sec id="s2-3">
<title>Measurement of HUs in patients</title>
<p>All the subjects underwent three-dimensional (3D) lumbar CT (GE Optima CT660<sup>&#x2212;&#x394;&#x394;CT</sup>, United States), The parameters were as follows: tube voltage 120 kV; collimation, 64 &#xd7; 0.625 mm; field of view (FOV), 500 mm; The CT scan data were transferred to the workstation and reconstructed with standard algorithms with reconstruction layer thicknesses of 1.25 mm, displaying a field of view of 380 mm; reconstruction matrix: 512 &#xd7; 512. After the 3D CT image was reconstructed, the upper, middle, and lower planes of each vertebral body were selected to establish an elliptical region of interest (ROI) on the upper, middle, and lower planes perpendicular to the vertebral axis. The ROI was selected to include as much trabecular bone as possible and to exclude cortical bone, the posterior venous plexus, and bone islands (<xref ref-type="fig" rid="F1">Figure 1</xref>). The mean of the HU values of the three ROIs for each vertebral body was recorded as the HU value of the vertebral body, and the mean of the HU values of L1&#x2013;5 was calculated as the total spine HU value for this patient. According to previous studies, the diagnostic threshold of OP with high sensitivity and specificity was determined to be 110 HUs (<xref ref-type="bibr" rid="B2">Alawi et al., 2021</xref>; <xref ref-type="bibr" rid="B44">Xue et al., 2024</xref>; <xref ref-type="bibr" rid="B50">Zou et al., 2019</xref>; <xref ref-type="bibr" rid="B30">Pickhardt et al., 2013</xref>; <xref ref-type="bibr" rid="B38">Wagner et al., 2016</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>The HU values were derived from CT. An oval region of interest is positioned on the axial plane of the vertebrae <bold>(A&#x2013;C)</bold>, with the HU value being automatically calculated by the image archiving and communication system. HU, Hounsfield unit.</p>
</caption>
<graphic xlink:href="fphys-16-1649477-g001.tif">
<alt-text content-type="machine-generated">CT scan images showing lumbar vertebrae in different views. The left image displays a sagittal view with lines indicating levels A, B, and C. The right images, labeled A, B, and C, show axial views of the L3 vertebra. The images display Hounsfield units (HU) within the vertebra: 75 HU for A, 74 HU for B, and 82 HU for C.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2-4">
<title>Endplate defect analysis and scoring</title>
<p>All the subjects underwent lumbar imaging with a 3T MRI scanner (Achieva, Philips Healthcare, Best, Netherlands). A standard spin echo imaging sequence was used for sagittal T2-weighted (T2W) MRI. The parameters were as follows: field of view, 30&#x2a;20 cm, layer thickness 4 mm, acquisition matrix 400&#x2a;232, and echo time/repetition time (TE/TR) 100 ms/4940 ms. Axial t1-weighted (T1W) MRI was also acquired via the following parameters: FoV 18&#x2a;18 cm, layer thickness 4 mm, and TE/TR 10 ms/500 ms.</p>
<p>T2W sagittal images of the L1&#x2012;L5 lumbar motion segment endplates of all the subjects were evaluated, and the vertebral segment and location of the defective endplate were recorded. For all the endplates with defects in the vertebral bodies, the maximum defect depth and maximum defect width on the sagittal images were measured. The width and height of the defective vertebral body were measured in the sagittal plane (<xref ref-type="fig" rid="F2">Figure 2</xref>), which were used to calculate the normalized width and depth of the endplate defect. When more than two defects are observed, the width of the vertebral endplate defect is the accumulation of the widths of each defect, and the depth of the vertebral endplate defect is the accumulation of the depths of each defect. The ratios of width and depth of the endplate defect to the width and height of the vertebral body were calculated. The cumulative normalized endplate defect of a single vertebral body was determined by adding the normalized width and normalized depth of the endplate defects. In this experiment, the observers have more than 10 years of experience in classifying images.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Measurement of vertebral endplate defects The endplate defects were measured in sagittal T2W weighted images of the vertebral body by a PACS system. <bold>(A)</bold> Classification of endplate defects: (A1) normal endplate; (A2) Superior Endplates Defect; (A3) Inferior Endplates Defect; (A4) Bilateral Endplates. <bold>(B)</bold> Measurement of vertebral body dimensions and endplate defect dimensions: (B1) Obtain a lateral view of the vertebral body along the central axis of the vertebral body; (B2) The maximum defect width of the endplate is measured to be a; (B3) The maximum defect depth of the endplate is measured to be b; (B4) Measure the width of the vertebral body as c, The height of the vertebral body was measured as (d1&#x2b;d2)/2. The vertebral body measurement is based on the maximum width and depth of the vertebral body as captured in (B1).</p>
</caption>
<graphic xlink:href="fphys-16-1649477-g002.tif">
<alt-text content-type="machine-generated">Illustrations and MRI images depicting vertebral endplates. Part A shows MRIs: A1 is a normal endplate, A2 illustrates superior endplate changes, A3 shows inferior endplate changes, and A4 displays bilateral endplate changes. Part B contains diagrams: B1 shows a vertebra cut line, B2 measures indentation width (a), B3 measures indentation depth (b), B4 shows dimensions of vertebral widths (c, d1, d2).</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2-5">
<title>Statistical analysis</title>
<p>SPSS Statistics version 25.0 software (IBM Corp., Armonk, NY, United States) was used for data analysis. When the sample size is &#x2265;50 cases, the Kolmogorov-Smirnov test is used for normality test; when the sample size is &#x3c;50 cases, the Shapiro-Wilk test is used. The data with a normal distribution were expressed as mean &#xb1; standard deviation (SD). Intergroup analysis was performed via an independent samples t-test, and the non-normally distribution, Intergroup analysis was performed via Mann-Whitney U test. The &#x3c7; <sup>2</sup> test was used for categorical data. Descriptive statistical methods were used to calculate the incidence, distribution, and location of endplate defects. Finally, univariate and multivariate logistic regression were used to verify the independence of the statistical results, and p &#x3c; 0.05 was considered significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>
<xref ref-type="table" rid="T1">Table 1</xref> summarize and compare the demographic characteristics of the 199 patients who met the inclusion criteria during the study period. Among them, 69 patients were males, and 130 were females. The mean age was 67.1 years (range: 39&#x2013;87, SD: 6.6 years). The mean BMI was 24.4 kg/m<sup>2</sup> (range: 16.2&#x2013;36.4, SD: 3.5 kg/m<sup>2</sup>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>The characteristics of the participants.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left"/>
<th align="center">Endplate defects</th>
<th align="center">No endplate defects</th>
<th align="center">Total</th>
<th rowspan="2" align="center">P value</th>
</tr>
<tr>
<th align="center">95(%)</th>
<th align="center">104(%)</th>
<th align="center">199(100%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age, mean(SD), y</td>
<td align="center">70.6 &#xb1; 8.4</td>
<td align="center">63.8 &#xb1; 9.5</td>
<td align="center">67.1 &#xb1; 9.6</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">sex</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">0.039</td>
</tr>
<tr>
<td align="left">female</td>
<td align="center">69(73%)</td>
<td align="center">61(59%)</td>
<td align="center">130(65%)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">male</td>
<td align="center">26(27%)</td>
<td align="center">43(41%)</td>
<td align="center">69(35%)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">Height mean(SD), cm</td>
<td align="center">157.0 &#xb1; 8.2</td>
<td align="center">160.6 &#xb1; 9</td>
<td align="center">158.9 &#xb1; 8.8</td>
<td align="center">0.004</td>
</tr>
<tr>
<td align="left">Weight mean(SD), kg</td>
<td align="center">58.9 &#xb1; 10</td>
<td align="center">64.2 &#xb1; 11.2</td>
<td align="center">61.7 &#xb1; 11.0</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="left">BMI, mean(SD)</td>
<td align="center">23.8 &#xb1; 3.4</td>
<td align="center">24.8 &#xb1; 3.4</td>
<td align="center">24.4 &#xb1; 3.5</td>
<td align="center">0.044</td>
</tr>
<tr>
<td align="left">Total spine BMD, (g/cm2)</td>
<td align="center">0.873 &#xb1; 0.159</td>
<td align="center">1.018 &#xb1; 0.247</td>
<td align="center">0.949 &#xb1; 0.221</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">T value, mean(SD)</td>
<td align="center">&#x2212;1.6 &#xb1; 1.4</td>
<td align="center">&#x2212;0.2 &#xb1; 1.9</td>
<td align="center">&#x2212;0.9 &#xb1; 1.8</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">Total spine HU, mean(SD)</td>
<td align="center">84.65 &#xb1; 35.49</td>
<td align="center">124.86 &#xb1; 49.59</td>
<td align="center">105.67 &#xb1; 47.78</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">L1 HU, mean(SD)</td>
<td align="center">89.07 &#xb1; 35.58</td>
<td align="center">129.61 &#xb1; 48.78</td>
<td align="center">110.26 &#xb1; 47.44</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">L2 HU, mean(SD)</td>
<td align="center">82.51 &#xb1; 37.79</td>
<td align="center">124.06 &#xb1; 50.34</td>
<td align="center">104.22 &#xb1; 49.29</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">L3 HU,mean(SD)</td>
<td align="center">80.74 &#xb1; 35.77</td>
<td align="center">118.80 &#xb1; 49.02</td>
<td align="center">100.63 &#xb1; 47.13</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">L4 HU, mean(SD)</td>
<td align="center">79.19 &#xb1; 38.79</td>
<td align="center">119.35 &#xb1; 50.99</td>
<td align="center">100.18 &#xb1; 49.71</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">L5 HU, mean(SD)</td>
<td align="center">91.86 &#xb1; 41.31</td>
<td align="center">132.51 &#xb1; 53.73</td>
<td align="center">113.1 &#xb1; 52.21</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">Hypertension</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td rowspan="3" align="center">0.059</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">43(45%)</td>
<td align="center">61(59%)</td>
<td align="center">104(52%)</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">52(55%)</td>
<td align="center">43(41%)</td>
<td align="center">95(48%)</td>
</tr>
<tr>
<td align="left">Diabetes</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td rowspan="3" align="center">0.178</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">65(68%)</td>
<td align="center">80(77%)</td>
<td align="center">145(73%)</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">30(32%)</td>
<td align="center">24(23%)</td>
<td align="center">54(27%)</td>
</tr>
<tr>
<td align="left">Smoking Status</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td rowspan="3" align="center">0.504</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">81(85%)</td>
<td align="center">92(88%)</td>
<td align="center">173(86.9%)</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">14(15%)</td>
<td align="center">12(12%)</td>
<td align="center">26(13.1%)</td>
</tr>
<tr>
<td align="left">Alcohol use</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td rowspan="3" align="center">0.486</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">85(89%)</td>
<td align="center">96(92%)</td>
<td align="center">181(91%)</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">10(11%)</td>
<td align="center">8(8%)</td>
<td align="center">18(9%)</td>
</tr>
<tr>
<td align="left">Back pain</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td rowspan="3" align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">9(9%)</td>
<td align="center">31(30%)</td>
<td align="center">40(20%)</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">86(91%)</td>
<td align="center">73(70%)</td>
<td align="center">159(80%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>There were 199 participants. HU, Hounsfield Unit.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3-1">
<title>Endplate deficit data</title>
<p>According to the presence of endplate defects, 199 patients were divided into an endplate defect group and a nonendplate defect group. Endplate defects were observed in 47.34% (n &#x3d; 95) of the patients. In general, endplate defects were more common in elderly, female, and OP patients. Comparisons of HUs and other data between the two groups are shown in <xref ref-type="table" rid="T1">Table 1</xref>. We detected significant differences in age (70.6 &#xb1; 8.4 vs. 63.8 &#xb1; 9.5, p &#x3c; 0.001), sex (male/female) (26/69 vs. 43/61, p &#x3c; 0.05), BMI (23.8 &#xb1; 3.4 vs. 24.8 &#xb1; 3.4, p &#x3c; 0.05), and total spine HUs (84.65 &#xb1; 35.49 vs. 124.86 &#xb1; 49.59, p &#x3c; 0.001). In addition, we detected a significant correlation between low back pain and endplate defects (p &#x3c; 0.001) (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
</sec>
<sec id="s3-2">
<title>Distribution of endplate defects</title>
<p>A total of 995 vertebral bodies from 199 patients were included, among which 183 (18.3%) had endplate defects. Among them, 78 (42.6%) patients had defects in the upper endplate, 80 (43.7%) patients had defects in the lower endplate, and 25 (13.7%) patients had bilateral endplate defects. Different types of endplate defects exhibited different distribution characteristics in different segments (<xref ref-type="fig" rid="F3">Figure 3</xref>). The incidence of bilateral endplate defects in the L3 vertebral body was the highest (3.83%). In the upper lumbar spine, lower endplate defects were more common than upper endplate defects were, whereas upper endplate defects were more common in the lower lumbar spine (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Incidence and distribution of lumbar endplate defects The data presented are prevalence rates and refer to the total sample studied for that particular vertebral level.</p>
</caption>
<graphic xlink:href="fphys-16-1649477-g003.tif">
<alt-text content-type="machine-generated">Bar chart showing vertebral endplate damage percentages for L1 to L5 vertebrae. Categories include overall endplate damage, superior, inferior, and bilateral endplates. L3 shows the highest damage at 24.59%, while L5 has the lowest bilateral damage at 1.64%. Other values vary between 4.37% and 21.31%.</alt-text>
</graphic>
</fig>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Relationship between the dimensions of endplate defect on MRI and various parameters.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Parameters</th>
<th colspan="2" align="center">Hounsfield unit</th>
<th colspan="2" align="center">Sex-type</th>
<th colspan="2" align="center">Level</th>
<th colspan="2" align="center">Endplates</th>
</tr>
<tr>
<th align="center">Low HU(HU &#x2264; 110)<break/>(n &#x3d; 130)</th>
<th align="center">Normal HU(HU &#x3e; 110)<break/>(n &#x3d; 53)</th>
<th align="center">Males<break/>(n &#x3d; 47)</th>
<th align="center">Females<break/>(n &#x3d; 136)</th>
<th align="center">Upper lumbar<break/>(n &#x3d; 120)</th>
<th align="center">Lower lumbar<break/>(n &#x3d; 63)</th>
<th align="center">Superior<break/>(n &#x3d; 78)</th>
<th align="center">Inferior<break/>(n &#x3d; 80)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Maximum width</td>
<td align="left">10.9 &#xb1; 5.1</td>
<td align="left">7.3 &#xb1; 4.8&#x2a;&#x2a;&#x2a;</td>
<td align="left">8.9 &#xb1; 4.6</td>
<td align="left">10.2 &#xb1; 5.4</td>
<td align="left">10.4 &#xb1; 5.5</td>
<td align="left">8.8 &#xb1; 4.5</td>
<td align="left">8.9 &#xb1; 5.1</td>
<td align="left">10.0 &#xb1; 5.4</td>
</tr>
<tr>
<td align="left">Maximum depth</td>
<td align="left">4.8 &#xb1; 1.7</td>
<td align="left">4.0 &#xb1; 1.7&#x2a;&#x2a;</td>
<td align="left">4.6 &#xb1; 1.6</td>
<td align="left">4.5 &#xb1; 1.8</td>
<td align="left">4.6 &#xb1; 1.8</td>
<td align="left">4.4 &#xb1; 1.7</td>
<td align="left">4.3 &#xb1; 1.6</td>
<td align="left">4.6 &#xb1; 2.0</td>
</tr>
<tr>
<td align="left">Standardized width</td>
<td align="left">0.11 &#xb1; 0.08</td>
<td align="left">0.08 &#xb1; 0.05&#x2a;&#x2a;</td>
<td align="left">0.08 &#xb1; 0.05</td>
<td align="left">0.1 &#xb1; 0.08&#x2a;</td>
<td align="left">0.1 &#xb1; 0.07</td>
<td align="left">0.09 &#xb1; 0.08</td>
<td align="left">0.06 &#xb1; 0.02</td>
<td align="left">0.09 &#xb1; 0.07&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left">Standardized depth</td>
<td align="left">0.12 &#xb1; 0.06</td>
<td align="left">0.09 &#xb1; 0.04&#x2a;&#x2a;</td>
<td align="left">0.1 &#xb1; 0.05</td>
<td align="left">0.11 &#xb1; 0.06</td>
<td align="left">0.11 &#xb1; 0.06</td>
<td align="left">0.11 &#xb1; 0.05</td>
<td align="left">0.09 &#xb1; 0.03</td>
<td align="left">0.1 &#xb1; 0.05</td>
</tr>
<tr>
<td align="left">Cumulative defect scores</td>
<td align="left">0.23 &#xb1; 0.13</td>
<td align="left">0.17 &#xb1; 0.09&#x2a;&#x2a;</td>
<td align="left">0.18 &#xb1; 0.1</td>
<td align="left">0.22 &#xb1; 0.13&#x2a;</td>
<td align="left">0.21 &#xb1; 0.13</td>
<td align="left">0.2 &#xb1; 0.12</td>
<td align="left">0.16 &#xb1; 0.06</td>
<td align="left">0.19 &#xb1; 0.11&#x2a;&#x2a;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>There were 183 endplates with defects. The &#x201c;n values&#x201d; represent the number of subjects from the total of 183 endplates.</p>
</fn>
<fn id="Tfn2">
<label>
<sup>b</sup>
</label>
<p>Upper Lumbar: L1-L3; Lower Lumbar: L4-S1. mean values &#xb1; SD are noted, &#x2a; p &#x3c; 0.05, &#x2a; p &#x3c; 0.01, &#x2a;&#x2a;&#x2a;p &#x3c; 0.001.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In addition, we measured the maximum widths and depths of the endplate defects on MRI. Comparisons of low HU group and normal HU group shown in <xref ref-type="table" rid="T2">Table 2</xref>. We detected significant differences in Maximum width (10.9 &#xb1; 5.1 vs. 7.3 &#xb1; 4.8, p &#x3c; 0.001), Maximum depth (4.8 &#xb1; 1.7 vs. 4.0 &#xb1; 1.7, p &#x3c; 0.01), Standardized width (0.11 &#xb1; 0.08 vs. 0.08 &#xb1; 0.05, p &#x3c; 0.01), Standardized depth (0.12 &#xb1; 0.06 vs. 0.09 &#xb1; 0.04, p &#x3c; 0.01), and Cumulative defect scores (0.23 &#xb1; 0.13 vs. 0.17 &#xb1; 0.09, p &#x3c; 0.01). This indicates that the low HU group has a larger endplate defect compared with the normal group. We also found that female patients had larger endplate defect widths after normalization (standardized width, cumulative defect scores, p &#x3c; 0.05), and the lower endplates had larger standardized defect widths and cumulative defect scores than did the upper endplates (p &#x3c; 0.01).</p>
<p>Scatter plots and linear regression analysis revealed that the normalized defect width, normalized defect depth, and cumulative defect scores were significantly negatively correlated with the HU value (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Correlation between endplate defect size and HU value <bold>(A)</bold> Linear correlation between HU value and width of endplate defect. <bold>(B)</bold> Linear correlation between HU value and depth of endplate defect. <bold>(C)</bold> Linear correlation between HU value and cumulative endplate defect score of endplate defect.</p>
</caption>
<graphic xlink:href="fphys-16-1649477-g004.tif">
<alt-text content-type="machine-generated">Three scatter plots labeled A, B, and C show the relationship between HU value and various normalized measures. A: Normalized Width, R&#xB2; = 0.095, P &#x3C; 0.0001. B: Normalized Depth, R&#xB2; = 0.059, P = 0.0010. C: Cumulative Normalized Endplate Defect, R&#xB2; = 0.089, P &#x3C; 0.0001. Each plot includes a trend line with a negative slope, indicating an inverse relationship between the variables.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-3">
<title>Relationship between endplate defects and OP</title>
<p>To further clarify the relationship between endplate defects and lumbar BMD, we used logistic regression to analyse the relationships between endplate defects and age, sex, BMI, total spine HUs, hypertension, diabetes, smoking status, and alcohol use. After the effects of hypertension, diabetes, smoking status, and alcohol use were corrected for, there were statistically significant differences between endplate defects and age (OR &#x3d; 1.0, p &#x3d; 0.042) and total spine HUs (OR &#x3d; 0.98, p &#x3d; 0.001) (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Associations between the total Endplate Scores with the HU Value: results from univariate and multivariate logistic regression.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Category</th>
<th colspan="2" align="center">Univariate association</th>
<th colspan="2" align="center">Mulitivariate association</th>
</tr>
<tr>
<th align="center">OR(95%CI)</th>
<th align="center">p value</th>
<th align="center">OR(95%CI)</th>
<th align="center">p value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age</td>
<td align="center">1.1(1.1-1.2)</td>
<td align="center">&#x3c;0.001</td>
<td align="center">1.0(1.0-1.1)</td>
<td align="center">0.042</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">Sex</td>
</tr>
<tr>
<td align="left">male</td>
<td align="center">Reference</td>
<td align="center">&#x2014;</td>
<td align="center">Reference</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left">female</td>
<td align="center">1.9(1.0-3.4)</td>
<td align="center">0.04</td>
<td align="center">1.4(0.7-2.8)</td>
<td align="center">0.328</td>
</tr>
<tr>
<td align="left">BMI</td>
<td align="center">0.9(0.8-1.0)</td>
<td align="center">0.047</td>
<td align="center">0.9(0.9-1.0)</td>
<td align="center">0.268</td>
</tr>
<tr>
<td align="left">Total spine HU</td>
<td align="center">0.98(0.97-0.99)</td>
<td align="center">0.001</td>
<td align="center">0.98(0.97-0.99)</td>
<td align="center">0.001</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">Hypertension</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">Reference</td>
<td align="center">&#x2014;</td>
<td align="center">Reference</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">1.7(1.0-3.0)</td>
<td align="center">0.06</td>
<td align="center">1.2(0.6-2.4)</td>
<td align="center">0.511</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">Diabetes</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">Reference</td>
<td align="center">&#x2014;</td>
<td align="center"/>
<td align="center"/>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">1.5(0.8-2.9)</td>
<td align="center">0.179</td>
<td align="center"/>
<td align="center"/>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">Smoking Status</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">Reference</td>
<td align="center">&#x2014;</td>
<td align="center"/>
<td align="center"/>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">1.3(0.6-3.0)</td>
<td align="center">0.505</td>
<td align="center"/>
<td align="center"/>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">Alcohol use</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">Reference</td>
<td align="center">&#x2014;</td>
<td align="center"/>
<td align="center"/>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">0.7(0.3-1.9)</td>
<td align="center">0.488</td>
<td align="center"/>
<td align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>There were 183 endplates with defects. HU, Hounsfield Unit; OR, odd ratio.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This study is the first to describe the morphology and distribution of endplate defects on MR images. Our study revealed that endplate defects were present in 47% of individuals and in 18% of vertebral bodies and that endplate defects were more common in individuals with OP, elderly individuals, and female patients (<xref ref-type="table" rid="T1">Table 1</xref>). With respect to the distribution of the spine, the endplate defects were mostly distributed in the upper lumbar spine (<xref ref-type="fig" rid="F3">Figure 3</xref>). However, we found that the maximum width and depth of the vertebral endplate defect were not significantly correlated with the vertebral segment. Moreover, the mean age of patients with endplate defects was significantly greater than that of individuals with nonendplate defects, which was consistent with the study by <xref ref-type="bibr" rid="B39">Wang et al. (2012)</xref> This finding indicates that the depth of endplate defects increases with age and the progression of OP, which may be related to the fact that vertebral endplates become thinner and porous due to ageing, making it difficult for them to bear the corresponding mechanical load (<xref ref-type="bibr" rid="B45">Zehra et al., 2015</xref>). Additionally, the distribution of endplate defects in the upper lumbar spine was more extensive than that in the lower lumbar spine. This may be related to the greater thickness of the cortical bone in the lower lumbar spine than in the upper lumbar spine in order to withstand the increased load. (<xref ref-type="bibr" rid="B9">Edwards et al., 2001</xref>). Therefore, the lower lumbar spine had greater resistance to loading-induced endplate defects. In addition, compared with the lower lumbar spine, the upper lumbar spine participates more in rotational movement, the rotational movement puts a great deal of pressure on the endplate, and the repetitive rotational movement creates a tiny crack in the centre of the endplate cartilage, which becomes the weak part of the endplate; then, the crack dilates to form an endplate defect. (<xref ref-type="bibr" rid="B15">Gracovetsky and Farfan, 1986</xref>). In addition, some scholars believe that the inferior vertebral body has a larger cross-sectional area; during the period of axial loading, the mechanical stress is inversely proportional to the cross-sectional area of the vertebral body. (<xref ref-type="bibr" rid="B8">Duan et al., 2001</xref>). This may be another reason for the low incidence of lower vertebral endplate defects. The incidence of upper lumbar endplate defects was greater than that of lower endplate defects. There is no convincing explanation for this at present. Some scholars have proposed that this may be related to the fact that in the early fourth week of embryonic life in the early vertebral body, the cells of the cranial side are arranged loosely, whereas the cells on the caudal side are arranged densely. (<xref ref-type="bibr" rid="B6">Bury 1995</xref>; <xref ref-type="bibr" rid="B28">Moore et al., 2013</xref>). Therefore, in the early life cycle, the mechanical strength of the lower half of the vertebral body is weaker than that of the upper half, and the lower endplate is more susceptible to damage. In the lower lumbar spine, the proportion of superior endplate defects was greater, which may be related to the thinner cranial endplates supported by the trabecular bone with lower density (<xref ref-type="bibr" rid="B47">Zhao et al., 2009</xref>).</p>
<p>Our study, which was based on MRI and CT examinations, was the first to analyse the relationship between the size of the vertebral endplate defect and vertebral BMD. By measuring the vertebral HU value while avoiding more examinations for the patient, and previous studies have shown that the HU value is more effective than DXA in measuring BMD because, compared with DXA, the HU value measurement method avoids the influence of facet joints of the vertebral body. (<xref ref-type="bibr" rid="B29">Muraki et al., 2004</xref>; <xref ref-type="bibr" rid="B31">Pu et al., 2024</xref>). In addition, the endplate defect information of the patient was obtained through MRI examination. Analysis revealed that the width and standardized score of the endplate defect were greater in the low-bone-volume group than in the high-bone-volume group. In addition, correlation analysis further confirmed that the bone mass of the vertebral body was negatively correlated with the depth and width of the lamina defect. This finding is similar to that of the study by <xref ref-type="bibr" rid="B49">Zhuang et al. (2021)</xref>, <xref ref-type="bibr" rid="B10">Ferguson and Steffen (2003)</xref>. The vertebral endplate is a thin layer of tissue located between the vertebral body and the intervertebral disc. It acts as the mechanical interface between the rigid bone and the elastic disc and plays an important role in the transfer and bearing of mechanical stress in the spine. However, the vertebral endplate also acts as the main channel of nutrient supply, and its thin and porous structure plays an important role in intervertebral disc material transport, nutrient metabolism, and maintenance of nucleus pulposus pressure. However, this structure also makes it more susceptible to damage under the action of mechanical stress. BMD is closely related to the bearing capacity of bone. With decreasing BMD, bone is more susceptible to microfractures under the action of mechanical stress. In OP patients, central endplate deformation is more prominent (<xref ref-type="bibr" rid="B10">Ferguson and Steffen, 2003</xref>; <xref ref-type="bibr" rid="B7">DISC, 1988</xref>); moreover, the vertebral endplates are thinner, and the trabecular bone under the endplates is sparser. This may be a cause of vertebral endplate defects caused by OP. To further understand other risk factors for endplate defects, we used univariate multivariate logistic analysis and found that there were statistically significant associations between the total score of the endplate defect and age and total spine HUs. Increased age may accelerate bone metabolism disorders. When OP occurs in aging individuals, the vertebral endplates become thinner, and eventually, the vertebral endplate strength decreases. The faster damage accumulation under continuous cyclic loading makes the vertebral endplates thinner. Microcracks are generated to reduce the bearing capacity of the endplate under pressure. In addition, with aging, disc degeneration accelerates, the strength of the fibrous ring decreases, and horizontal cracks and blood vessel penetration of the endplate appear in the centre of the intervertebral disc and cartilage endplates (<xref ref-type="bibr" rid="B7">DISC, 1988</xref>; <xref ref-type="bibr" rid="B32">Roberts et al., 2006</xref>; <xref ref-type="bibr" rid="B5">Burr and Radin, 2003</xref>; <xref ref-type="bibr" rid="B37">Turgut et al., 2003</xref>). The weak point on the endplate becomes a factor in the herniation of the nucleus pulposus across the endplate and towards the vertebral body, resulting in endplate injury. Our study also revealed that vertebral endplate defects are closely related to low back pain. This may be related to the fact that endplate defects are often accompanied by vertebral endplate microfractures and the aggregation of inflammatory factors (<xref ref-type="bibr" rid="B32">Roberts et al., 2006</xref>; <xref ref-type="bibr" rid="B5">Burr and Radin, 2003</xref>; <xref ref-type="bibr" rid="B37">Turgut et al., 2003</xref>).</p>
<p>Finally, we attempted to explain the possible mechanisms underlying the relationship between OP and endplate defects. When vertebral body OP occurs, macroscopically, the vertebral endplate becomes thinner, and the remodelling of microfractures causes the trabecular bone under the endplate to be disordered under cyclic loading, the porosity of the endplate surface increases, and a cavity in the endplate occurs. Endplate edge defects or the formation of bone redundancy further reduce the mechanical load-resisting capacity of the vertebral endplate and increase the susceptibility of the vertebral endplate to breakage (<xref ref-type="bibr" rid="B42">Xiao et al., 2018</xref>; <xref ref-type="bibr" rid="B26">Luo et al., 2015</xref>; <xref ref-type="bibr" rid="B24">Liu et al., 2019</xref>; <xref ref-type="bibr" rid="B25">Luo et al., 2013</xref>; <xref ref-type="bibr" rid="B35">Sun et al., 2021</xref>; <xref ref-type="bibr" rid="B48">Zhong et al., 2016</xref>; <xref ref-type="bibr" rid="B22">Li et al., 2017</xref>; <xref ref-type="bibr" rid="B43">Xiao et al., 2020</xref>). At the microscopic level, OP changes the local bone metabolism microenvironment; bone resorption by osteoclasts is greater than bone formation by osteoblasts, resulting in abnormal bone reconstruction. (<xref ref-type="bibr" rid="B13">Frost, 1990</xref>). Pharmacological experiments confirmed that when anti-OP drugs are used, abnormal bone reconstruction of the endplate is inhibited, thus maintaining the structural integrity of the original endplate (<xref ref-type="bibr" rid="B37">Turgut et al., 2003</xref>; <xref ref-type="bibr" rid="B24">Liu et al., 2019</xref>; <xref ref-type="bibr" rid="B25">Luo et al., 2013</xref>; <xref ref-type="bibr" rid="B35">Sun et al., 2021</xref>). In addition, OP may accelerate the vascularization of the vertebral endplate. Neovascularization leads to the infiltration of inflammatory factors, macrophages, and mast cells, which also generate large amounts of growth factors, cytokines and enzymes, thus accelerating the destruction of the vertebral endplate and reducing its ability to withstand loads (<xref ref-type="bibr" rid="B37">Turgut et al., 2003</xref>).</p>
<p>Our study has a few limitations. First, our research is a cross-sectional study and cannot explain the causal relationship between vertebral endplate defects and osteoporosis. Further prospective experiments are needed for further investigation. In addition our measurement of vertebral endplate defects was based on imaging data. Although the measurements were made by experienced radiologists and orthopaedic surgeons, there are still gaps compared to results of direct measurement on cadavers. Besides, although we used the HU value to reflect the vertebral BMD, which can effectively avoid the influence of sclerotic bone and osteophytes on the vertebral BMD in the DXA measurement results. However, its accuracy is still lower than that of Q-CT. In addition, we used the VAS score scale to collect information on patients&#x2019; back pain. However, this cannot rule out other confounding factors causing back pain. Therefore, a more precise back pain scale can be further designed in subsequent studies to further clarify the relationship between back pain and endplate defects.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>There is a correlation between OP and the size of the vertebral endplate defect, and the defect size increases with decreasing bone mass. In the population, vertebral endplate defects are more likely to occur in elderly individuals, females, and individuals with OP. With respect to the spinal structure, vertebral endplate defects are more likely to occur in the upper lumbar spine. Additionally, age and bone mass are the main factors associated with vertebral endplate defects.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<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="s7">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Ethics Committee of the Second Affiliated Hospital of Soochow University. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin because Comply with the informed consent exemption guidelines of the Ethics Committee of the Second Affiliated Hospital of Soochow University and sign the informed consent exemption application form. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>SH: Writing &#x2013; original draft, Investigation, Writing &#x2013; review and editing, Data curation, Conceptualization, Methodology. LY: Writing &#x2013; original draft, Data curation, investigation. LH: Writing &#x2013; review and editing, Methodology, Resources. HJ: Writing &#x2013; original draft, Supervision, Project administration. LD: Writing &#x2013; review and editing, Data curation, Project administration, investigation.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. The Gusu Health Talent Program for Suzhou Municipal Health Commission (NO. GSWS2021019), the Science and Technology Project of Jiangsu Chinese Medicine Bureau (NO. MS2023172).</p>
</sec>
<ack>
<p>Some of the schematic diagram materials in Figure 2 are from the FigDraw (<ext-link ext-link-type="uri" xlink:href="http://www.figdraw.com">www.figdraw.com</ext-link>).</p>
</ack>
<sec sec-type="COI-statement" id="s10">
<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 sec-type="ai-statement" id="s11">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
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<title>Publisher&#x2019;s note</title>
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<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/fphys.2025.1649477/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphys.2025.1649477/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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