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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-2392</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="doi">10.3389/fendo.2026.1783422</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>The role and mechanisms of bone microenvironment regulators in osteoporosis: novel intervention strategies for addressing the challenges of aging</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Yao</surname><given-names>Hongyuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Cui</surname><given-names>Yutao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Li</surname><given-names>Peng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Sun</surname><given-names>Shouye</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Peng</surname><given-names>Chuangang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Wu</surname><given-names>Dankai</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>Traumatic Orthopedics, The Second Hospital of Jilin University</institution>, <city>Changchun</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Orthopedics, The First Affiliated Hospital of University of Science and Technology of China</institution>, <city>Hefei</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Chuangang Peng, <email xlink:href="mailto:pengcg@jlu.edu.cn">pengcg@jlu.edu.cn</email>; Dankai Wu, <email xlink:href="mailto:wudk@jlu.edu.cn">wudk@jlu.edu.cn</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-03">
<day>03</day>
<month>03</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1783422</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>02</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Yao, Cui, Li, Sun, Peng and Wu.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Yao, Cui, Li, Sun, Peng and Wu</copyright-holder>
<license>
<ali:license_ref start_date="2026-03-03">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>
<p>Osteoporosis is an increasingly important global health concern, particularly in aging populations, with prevalence rising markedly after the age of 60. Age-related alterations in the bone microenvironment play a pivotal role in disrupting skeletal homeostasis. Regulators of the bone microenvironment contribute centrally to osteoporosis pathogenesis by modulating bone remodeling through multiple, intersecting mechanisms. Accumulating evidence indicates that aging is accompanied by reduced levels of protective factors, such as osteoprotegerin and bone morphogenetic proteins (BMPs), alongside increases in pro-resorptive mediators, including receptor activator of nuclear factor-&#x3ba;B ligand (RANKL), interleukin-6 (IL-6), and tumor necrosis factor-&#x3b1; (TNF-&#x3b1;). This shift favors osteoclastogenesis and impairs osteoblast function, ultimately accelerating bone loss and increasing the risk of fragility fractures and disability. In this review, we synthesize current evidence on bone microenvironment regulatory factors in osteoporosis, with emphasis on their roles in bone remodeling and downstream cellular signaling pathways. We further discuss emerging intervention strategies that target these regulators to preserve or restore bone health in older adults. By clarifying age-associated microenvironmental changes and the interactions among key regulatory factors, this review aims to identify promising therapeutic targets and provide a conceptual framework to support osteoporosis prevention and treatment in the context of global population aging.</p>
</abstract>
<kwd-group>
<kwd>aging</kwd>
<kwd>bone microenvironment</kwd>
<kwd>bone remodeling</kwd>
<kwd>osteoporosis</kwd>
<kwd>regulatory factors</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by Scientific Development Program of Jilin Province 20250206018ZP.</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="176"/>
<page-count count="18"/>
<word-count count="7489"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Bone Research</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Osteoporosis is a prevalent, age-associated skeletal disorder characterized by reduced bone mass, impaired microarchitecture, and increased fragility fracture risk (<xref ref-type="bibr" rid="B1">1</xref>). With global population aging, osteoporosis has become a major driver of disability, mortality (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>), and healthcare expenditure worldwide (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Although current clinical management has substantially improved fracture prevention (<xref ref-type="bibr" rid="B6">6</xref>), prevailing diagnostic and therapeutic paradigms still emphasize &#x201c;bone quantity&#x201d; (e.g., bone mineral density) and downstream remodeling imbalance (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B6">6</xref>), which can overlook upstream determinants that govern bone homeostasis and treatment responsiveness. This gap has motivated a conceptual shift from viewing bone as an isolated mineralized tissue toward recognizing it as a dynamic organ embedded within a complex, information-rich microenvironment (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>The bone microenvironment provides essential structural and biological support for normal skeletal function, and its complexity and dynamic regulation are fundamental determinants of bone health (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). It comprises multiple interacting components&#x2014;including bone cells, the extracellular matrix, vascular networks, and soluble mediators such as cytokines and growth factors&#x2014;that together form an integrated regulatory network (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>). Under physiological conditions, this microenvironment maintains skeletal homeostasis by tightly coordinating osteoblast-mediated bone formation and osteoclast-mediated bone resorption (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). With aging, however, the microenvironment&#x2019;s homeostatic capacity progressively declines, and cross-talk among bone-resident cells becomes less coordinated, creating a permissive milieu for osteoporosis development (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Importantly, deterioration of the bone microenvironment is not merely a passive consequence of aging but reflects active, multifactorial biological dysregulation (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>The pathophysiology of osteoporosis is multifaceted and influenced by numerous interacting factors (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). Hormonal changes represent a central driver; in particular, the abrupt decline in estrogen after menopause accelerates bone loss and reduces bone strength (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). In addition, inflammatory mediators contribute substantially to skeletal remodeling (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Chronic low-grade inflammation can activate nuclear factor-&#x3ba;B (NF-&#x3ba;B) signaling, thereby enhancing osteoclastogenesis and promoting bone resorption. Oxidative stress (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>) and mitochondrial dysfunction (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>) also play important roles, as excessive reactive oxygen species can induce osteocyte apoptosis and impair the survival and differentiation of bone-forming cells. Genetic susceptibility, nutritional status, and lifestyle factors further interact with these biological processes to shape disease onset and progression, underscoring the complexity of osteoporosis pathogenesis (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>Regulatory factors within the bone microenvironment&#x2014;including cytokines, growth factors, and hormones&#x2014;act as key determinants of osteoporosis by controlling bone remodeling through interrelated signaling pathways (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). The receptor activator of nuclear factor-&#x3ba;B ligand/osteoprotegerin (RANKL/OPG) axis represents a prototypical regulatory system that governs osteoclast formation and activity and thereby maintains remodeling balance (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Bone morphogenetic proteins (BMPs) (<xref ref-type="bibr" rid="B36">36</xref>)matrix regulation (<xref ref-type="bibr" rid="B37">37</xref>), whereas pro-inflammatory cytokines such as interleukin-6 (IL-6) and tumor necrosis factor-&#x3b1; (TNF-&#x3b1;) promote osteoclast activation and bone resorption, reshaping the microenvironment toward a catabolic state (<xref ref-type="bibr" rid="B38">38</xref>). Maintaining the dynamic equilibrium among these mediators is essential for preserving skeletal integrity (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>). To provide an at-a-glance overview of major bone microenvironment regulators implicated in osteoporosis, we summarize their classification, principal sources, remodeling direction, and evidence level in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Bone microenvironment regulators implicated in osteoporosis: classification, sources, remodeling direction, and evidence.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Class</th>
<th valign="middle" align="center">Regulators</th>
<th valign="middle" align="center">Major source(s)</th>
<th valign="middle" align="center">Direction (OP/aging)</th>
<th valign="middle" align="center">Primary effect</th>
<th valign="middle" align="center">Key notes/pathways</th>
<th valign="middle" align="center">Evidence</th>
<th valign="middle" align="center">Ref.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Osteoclastogenic axis</td>
<td valign="middle" align="left">RANKL/OPG</td>
<td valign="middle" align="left">Osteoblasts, stromal cells</td>
<td valign="middle" align="left">RANKL/OPG ratio &#x2191;</td>
<td valign="middle" align="left">RANKL promotes osteoclast formation; OPG inhibits</td>
<td valign="middle" align="left">Core &#x201c;resorption switch&#x201d;; imbalanced by inflammation</td>
<td valign="middle" align="left">M/A/H/RCT</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B41">41</xref>&#x2013;<xref ref-type="bibr" rid="B46">46</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Pro-inflammatory cytokines</td>
<td valign="middle" align="left">IL-6, TNF-&#x3b1;, IL-1</td>
<td valign="middle" align="left">Immune cells, stromal cells</td>
<td valign="middle" align="left">&#x2191; (inflammaging)</td>
<td valign="middle" align="left">&#x2191;resorption; IL-6 also &#x2193; osteoblast function</td>
<td valign="middle" align="left">Drives RANKL up; forms inflammatory loop</td>
<td valign="middle" align="left">M/H</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B47">47</xref>&#x2013;<xref ref-type="bibr" rid="B53">53</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Wnt inhibitors</td>
<td valign="middle" align="left">Dkk-1, SOST (sclerostin)</td>
<td valign="middle" align="left">Osteocytes/osteoblast lineage</td>
<td valign="middle" align="left">&#x2193; osteoblast differentiation; &#x2193; bone formation</td>
<td valign="middle" align="left">Suppress Wnt signaling; reduce formation</td>
<td valign="middle" align="left">Upregulated in OP; suppresses Wnt/&#x3b2;-cat</td>
<td valign="middle" align="left">M/A/H/RCT/B</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B55">55</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Osteogenic growth factors</td>
<td valign="middle" align="left">BMPs, TGF-&#x3b2;</td>
<td valign="middle" align="left">Bone matrix, osteoblast lineage</td>
<td valign="middle" align="left">&#x2193;/context-dependent</td>
<td valign="middle" align="left">&#x2191; osteoblast differentiation/matrix synthesis</td>
<td valign="middle" align="left">Formation-side regulators</td>
<td valign="middle" align="left">M/A</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B56">56</xref>&#x2013;<xref ref-type="bibr" rid="B61">61</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Survival &amp; anabolic mediators</td>
<td valign="middle" align="left">IGF-1</td>
<td valign="middle" align="left">Systemic + local</td>
<td valign="middle" align="left">&#x2193; (IGF-1 axis)</td>
<td valign="middle" align="left">&#x2191; osteoblast survival and differentiation</td>
<td valign="middle" align="left">Often acts via PI3K/AKT</td>
<td valign="middle" align="left">M/A/H</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B56">56</xref>&#x2013;<xref ref-type="bibr" rid="B62">62</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Hormonal factors</td>
<td valign="middle" align="left">Estrogen (decline), PTH (context-dependent)</td>
<td valign="middle" align="left">Endocrine system</td>
<td valign="middle" align="left">Estrogen &#x2193;; PTH context-dependent</td>
<td valign="middle" align="left">Estrogen loss -&gt; &#x2191; resorption; PTH context-dependent</td>
<td valign="middle" align="left">Sets systemic &#x201c;aging backdrop&#x201d;</td>
<td valign="middle" align="left">H/RCT</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Oxidative stress mediators</td>
<td valign="middle" align="left">ROS (oxidative stress state)</td>
<td valign="middle" align="left">Multi-cellular</td>
<td valign="middle" align="left">&#x2191; (ROS)</td>
<td valign="middle" align="left">&#x2191; osteoblast apoptosis; &#x2191; osteoclast activation</td>
<td valign="middle" align="left">Activates NF-kB/JNK; couples to inflammation</td>
<td valign="middle" align="left">M/A/H</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B63">63</xref>&#x2013;<xref ref-type="bibr" rid="B71">71</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Senescence program</td>
<td valign="middle" align="left">SASP (IL-6, TNF-&#x3b1; etc.), PADI2 (example)</td>
<td valign="middle" align="left">Senescent osteocytes/MSCs</td>
<td valign="middle" align="left">&#x2191; (senescent/SASP)</td>
<td valign="middle" align="left">SASP -&gt; &#x2191; inflammation -&gt; &#x2191; resorption, &#x2193; formation</td>
<td valign="middle" align="left">Aging &#x201c;hub&#x201d;: senescence &lt;-&gt; ROS &lt;-&gt; NF-kB</td>
<td valign="middle" align="left">M/A/H</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B72">72</xref>&#x2013;<xref ref-type="bibr" rid="B91">91</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">ECM/adhesion &amp; mineralization</td>
<td valign="middle" align="left">Collagen/proteoglycans (ECM), EphrinB2</td>
<td valign="middle" align="left">Bone matrix, osteoblasts</td>
<td valign="middle" align="left">ECM quality &#x2193;; crosslinking &#x2191;</td>
<td valign="middle" align="left">Alters osteoblast attachment/proliferation; mineralization control</td>
<td valign="middle" align="left">ECM remodeling changes mechanobiology</td>
<td valign="middle" align="left">M/A</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B92">92</xref>&#x2013;<xref ref-type="bibr" rid="B102">102</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Angiogenic niche factors</td>
<td valign="middle" align="left">VEGF, VEGFR2 (signaling)</td>
<td valign="middle" align="left">Endothelium/osteoblast niche</td>
<td valign="middle" align="left">Perfusion/H-type vessels &#x2193;; VEGF &#x2193;</td>
<td valign="middle" align="left">Vascular decline -&gt; nutrient/oxygen limitation -&gt; dysmetabolism</td>
<td valign="middle" align="left">Links angiogenesis &lt;-&gt; bone turnover</td>
<td valign="middle" align="left">M/A/H</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B103">103</xref>&#x2013;<xref ref-type="bibr" rid="B107">107</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x201c;Bone-immune&#x201d; communication</td>
<td valign="middle" align="left">NF-kB (as hub)</td>
<td valign="middle" align="left">Many cell types</td>
<td valign="middle" align="left">&#x2191; (NF-kB tone)</td>
<td valign="middle" align="left">Amplifies cytokine cascade; sustains vicious cycle</td>
<td valign="middle" align="left">Connects inflammation to Wnt/RANKL</td>
<td valign="middle" align="left">M/A</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B47">47</xref>&#x2013;<xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B85">85</xref>&#x2013;<xref ref-type="bibr" rid="B90">90</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Vitamin D axis</td>
<td valign="middle" align="left">Vitamin D activation/availability</td>
<td valign="middle" align="left">Systemic + local</td>
<td valign="middle" align="left">&#x2193; (deficiency common)</td>
<td valign="middle" align="left">Indirect: affects Ca handling; inflammation can impair activation</td>
<td valign="middle" align="left">Bridges metabolism-inflammation</td>
<td valign="middle" align="left">H/RCT</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B108">108</xref>&#x2013;<xref ref-type="bibr" rid="B112">112</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Evidence type codes &#x2014; M, mechanistic (<italic>in vitro</italic>/<italic>in vivo</italic>); A, animal <italic>in vivo</italic>; H, human observational/clinical cohort; RCT, randomized controlled trial; B, biomarker/clinical association</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Overall, the regulatory actions of bone microenvironmental factors in osteoporosis are multidimensional and operate across multiple biological levels. Beyond directly influencing osteoblast and osteoclast function (<xref ref-type="bibr" rid="B113">113</xref>), these mediators indirectly affect bone health by modulating intercellular communication (<xref ref-type="bibr" rid="B114">114</xref>, <xref ref-type="bibr" rid="B115">115</xref>), inflammatory signaling (<xref ref-type="bibr" rid="B116">116</xref>), and oxidative stress responses (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B117">117</xref>). Therapeutic strategies that precisely modulate the expression or activity of key regulators may therefore help attenuate osteoporosis progression.</p>
<p>In this review, we synthesize emerging evidence that osteoporosis is best understood through the lens of multi-niche microenvironment regulation and age-related microenvironment collapse. This paper summarizes the multidimensional architecture and interaction mechanisms of the cellular niche, structural/vascular niche, immune niche, and neural niche that coordinately regulate bone remodeling, and explores how aging disrupts the homeostasis of each niche through pathways such as cellular senescence, extracellular matrix and vascular degeneration and chronic immune imbalance. Meanwhile, it highlights the translational medical application prospects of targeting the bone microenvironment, including microenvironment-derived biomarkers for early diagnosis, niche-restoring therapeutic strategies, as well as novel diagnostic and treatment regimens that integrate multi-omics and artificial intelligence technologies for patient stratification and precision intervention guidance.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Multidimensional regulation of the osteogenic microenvironment</title>
<sec id="s2_1">
<label>2.1</label>
<title>The cellular niche: fate determination and crosstalk</title>
<sec id="s2_1_1">
<label>2.1.1</label>
<title>BMSC lineage allocation and osteogenic potential</title>
<p>Bone marrow mesenchymal stromal/stem cells (BMSCs) constitute a central cellular reservoir that sustains osteoblast-lineage supply and defines the osteogenic differentiation of the microenvironment. In osteoporotic settings, BMSCs commonly display a convergent phenotype&#x2014;reduced clonogenicity and osteogenic output (e.g., CFU-F frequency, ALP activity, mineralized nodule formation) accompanied by increased adipogenic commitment and marrow adipose expansion&#x2014;paralleling declines in dynamic histomorphometric indices of formation (e.g., MAR/BFR) and trabecular integrity (e.g., BV/TV) <italic>in vivo</italic> (<xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B119">119</xref>) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1A</bold></xref>). Mechanistically, lineage allocation reflects a shift in dominant transcriptional and signaling modules: attenuation of osteogenic pathways (Wnt/&#x3b2;-catenin, BMP&#x2013;RUNX2/OSX) alongside reinforcement of adipogenic programs (PPAR&#x3b3;-driven networks), with additional tuning by inflammatory signaling (e.g., NF-&#x3ba;B-linked cytokine milieu) and mechano-metabolic inputs (integrin&#x2013;FAK/YAP&#x2013;TAZ, mTOR/AMPK) (<xref ref-type="bibr" rid="B56">56</xref>&#x2013;<xref ref-type="bibr" rid="B61">61</xref>). Notably, whether lineage drift is primarily cell-intrinsic (senescence/DDR) or imposed by niche cues (inflammation, ECM mechanics, perfusion) likely varies by skeletal compartment and remains incompletely resolved, highlighting the need for spatially anchored, human-relevant validation.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The central coupling unit depicts osteoblast (OB)&#x2013;osteoclast (OC) coordination governed by the RANKL&#x2013;RANK&#x2013;OPG axis, which determines the remodeling set-point (formation vs resorption). <bold>(A)</bold> Bone marrow mesenchymal stromal/stem cells (BMSCs) exhibit a fate shift from osteogenesis toward adipogenesis under inflammatory, mechanotransductive, metabolic, and senescence-related cues, reducing osteogenic output. <bold>(B)</bold> Osteoblast-lineage cells (including osteoblasts/osteocytes) regulate osteoclastogenesis via RANKL/OPG and additional paracrine or contact-dependent signals; estrogen deficiency, aging, and chronic inflammation promote &#x201c;uncoupling&#x201d;. <bold>(C)</bold> Osteoclast precursors span a macrophage&#x2013;osteoclast continuum with context-dependent heterogeneity, influencing precursor priming, fusion, and resorptive capacity. <bold>(D)</bold> Osteocytes sense mechanical strain/fluid shear through the lacunar&#x2013;canalicular network and orchestrate anabolic/catabolic outputs to OBs and OCs; impaired mechanosensing in aging or estrogen deficiency locks in a catabolic set-point, accelerating net bone loss. BMSC, bone marrow mesenchymal stromal/stem cell; OB, osteoblast; OC, osteoclast; OPG, osteoprotegerin; RANKL, receptor activator of nuclear factor-&#x3ba;B ligand; M-CSF, macrophage colony-stimulating factor.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-17-1783422-g001.tif">
<alt-text content-type="machine-generated">Scientific diagram illustrating mechanisms of osteoporosis, showing a central balance scale with osteoblasts for bone formation and osteoclasts for resorption. Insets depict BMSC fate determination (A), osteoblast-lineage regulation (B), osteoclast precursor continuum (C), and osteocytes mechanosensing (D). Osteoporosis is depicted as an imbalance favoring resorption.</alt-text>
</graphic></fig>
</sec>
<sec id="s2_1_2">
<label>2.1.2</label>
<title>Osteoblast-lineage control of osteoclastogenesis</title>
<p>Osteoblast-lineage cells (including osteoblasts and osteocytes) act as the core coupling regulators in bone remodeling, by providing permissive regulatory signals and rate-limiting regulatory signals for osteoclast differentiation within the basic multicellular unit. The receptor activator of nuclear factor-&#x3ba;B ligand-receptor activator of nuclear factor-&#x3ba;B-osteoprotegerin (RANKL&#x2013;RANK&#x2013;OPG) signaling axis represents a canonical coupling node in bone remodeling. Cell-type-targeted perturbation experiments have confirmed that modulating the expression levels of RANKL/OPG in osteoblast-lineage cells is sufficient to reprogram the number and bone surface coverage of osteoclasts, thereby altering bone turnover status and trabecular architecture <italic>in vivo</italic> (<xref ref-type="bibr" rid="B41">41</xref>&#x2013;<xref ref-type="bibr" rid="B43">43</xref>). Beyond the RANKL&#x2013;OPG signaling axis, osteoblast-lineage cells can also regulate the priming of osteoclast precursors, the lifespan of mature osteoclasts, and the recruitment efficiency of osteoblasts via contact-dependent and paracrine mediators. This enables the transition from bone resorption to bone formation, ultimately maintaining bone turnover balance rather than simply suppressing the resorption process (<xref ref-type="bibr" rid="B44">44</xref>). In osteoporosis-relevant pathological conditions such as estrogen deficiency, aging, and chronic inflammation, this bone remodeling coupling set-point undergoes maladaptive shifts&#x2014;characterized by exaggerated osteoclastogenesis concurrent with impaired osteoblast function. This effectively &#x201c;uncouples&#x201d; high bone resorption from compensatory bone formation, thereby accelerating net bone loss (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1B</bold></xref>). Notably, the relative regulatory contributions of coupling signals derived from osteoblasts versus osteocytes may vary across different skeletal sites and disease contexts. This highlights the necessity of conducting compartment-resolved, human-aligned validation studies on the hierarchical organization of bone coupling.</p>
</sec>
<sec id="s2_1_3">
<label>2.1.3</label>
<title>Osteoclast precursors and the macrophage&#x2013;osteoclast continuum</title>
<p>Osteoclasts originate from myeloid progenitors, which share overlapping developmental and functional regulatory programs with macrophages (<xref ref-type="bibr" rid="B120">120</xref>). Together, these two cell types form the macrophage-osteoclast continuum, through which the body&#x2019;s inflammatory status and local tissue microenvironment jointly determine the ultimate level of bone resorptive function (<xref ref-type="bibr" rid="B121">121</xref>, <xref ref-type="bibr" rid="B122">122</xref>). Osteoclast precursors are not a homogeneous cell population but exhibit detectable heterogeneity in recruitment, priming, and fusion capacity (<xref ref-type="bibr" rid="B123">123</xref>) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1C</bold></xref>). Niche cues (e.g., the bioavailability of macrophage colony-stimulating factor/receptor activator of nuclear factor-&#x3ba;B ligand, pro-inflammatory cytokines, etc.) can reprogram the responsiveness of these precursors by altering their receptor expression profiles, intracellular metabolic regulatory pathways, and cell-cell fusion propensity. This, in turn, modulates the formation efficiency of multinucleated osteoclasts and the magnitude of bone resorption (e.g., the number/surface area of tartrate-resistant acid phosphatase-positive osteoclasts, resorption pit area) (<xref ref-type="bibr" rid="B123">123</xref>, <xref ref-type="bibr" rid="B124">124</xref>). Single-cell transcriptomic and lineage-tracing studies further support that distinct precursor subsets expand or become preferentially osteoclastogenic under pathological conditions, providing a mechanistic basis for inter-individual and context-dependent variation in &#x201c;high-turnover&#x201d; phenotypes observed in osteoporosis and inflammaging-related bone loss (<xref ref-type="bibr" rid="B125">125</xref>).</p>
</sec>
<sec id="s2_1_4">
<label>2.1.4</label>
<title>Osteocytes as orchestrators of remodeling</title>
<p>Osteocytes are long-lived, matrix-embedded regulatory cells that integrate mechanical and endocrine signals to coordinately regulate bone remodeling processes within the cellular niche, acting as the regulatory hub of bone tissue. Through the lacunar-canalicular network, osteocytes sense mechanical strain and fluid shear stress and convert these stimulatory signals into regulatory output signals. These signals, in turn, modulate the activity of osteoblasts and the process of osteoclastogenesis, thereby tuning bone turnover toward adaptive bone formation or resorption depending on the mechanical loading status (<xref ref-type="bibr" rid="B92">92</xref>). Evidence from mechanical unloading/loading model experiments and osteocyte-targeted genetic perturbation assays indicates that impairment of osteocyte mechanosensing function and its downstream signaling pathways is sufficient to attenuate the skeletal anabolic response to mechanical loading, alter dynamic bone formation indices, and affect osteoclast-related parameters, ultimately leading to the remodeling of bone microstructure (<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B126">126</xref>). In osteoporosis-relevant contexts such as aging and estrogen deficiency, osteocyte dysfunction&#x2014;including impaired mechanosensitivity and maladaptive coupling outputs&#x2014;can &#x201c;lock in&#x201d; a catabolic set-point where resorption is amplified while formation fails to compensate, accelerating net bone loss (<xref ref-type="bibr" rid="B127">127</xref>, <xref ref-type="bibr" rid="B128">128</xref>) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1D</bold></xref>).</p>
</sec>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>The structural and vascular niche</title>
<sec id="s2_2_1">
<label>2.2.1</label>
<title>Structural&#x2013;mechanical&#x2013;osteocyte integration in the bone microenvironment</title>
<p>The extracellular matrix (ECM) in bone tissue serves as an instructive microenvironment that integrates structural organization and biochemical signal presentation functions. The composition profile and post-translational modifications of the ECM can regulate integrin binding, growth factor sequestration and release, as well as the mechanical processes of mineralization nucleation, thereby affecting the adhesion, proliferation and maturation of osteoblasts (<xref ref-type="bibr" rid="B93">93</xref>, <xref ref-type="bibr" rid="B94">94</xref>). Matrix mechanical properties and mechanical loading further impose upstream constraints on osteogenic processes, converting stiffness and strain into transcriptional regulation via activation of mechanotransduction modules. Osteogenesis-related cells can recognize and integrate these mechanical cues through integrin&#x2013;FAK/focal adhesion signaling, mechanosensitive ion channels, and mechanotranscriptional regulators (e.g., YAP/TAZ-associated programs), which ultimately converge on the expression of osteogenic genes (<xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B95">95</xref>, <xref ref-type="bibr" rid="B96">96</xref>). At the tissue scale, the lacunar-canalicular system (LCS) of osteocytes amplifies the aforementioned processes: strain-induced interstitial fluid flow generates shear stress within the canalicular network, enabling osteocytes to sense loading and transmit signals through the interconnected network, thus coordinately regulating bone remodeling (<xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B97">97</xref>). Experimental validation of loading conditions and combined computational-imaging analyses further demonstrate that the structural characteristics of the LCS (e.g., lacunar density, canalicular connectivity) are correlated with mechanical sensitivity and its downstream remodeling outcomes (<xref ref-type="bibr" rid="B97">97</xref>, <xref ref-type="bibr" rid="B98">98</xref>). In the context of osteoporosis and aging, microstructural degeneration and osteocyte dysfunction can impair LCS-mediated signal transmission, leading to insufficient adaptive osteogenesis and coupling imbalance (<xref ref-type="bibr" rid="B98">98</xref>, <xref ref-type="bibr" rid="B99">99</xref>). However, it remains challenging to distinguish the effects of ECM components from covarying mechanical factors (<xref ref-type="bibr" rid="B100">100</xref>, <xref ref-type="bibr" rid="B101">101</xref>). Therefore, an integrated research strategy combining matrix composition profiling, mechanical testing and spatial validation is required to obtain more reliable mechanistic interpretations (<xref ref-type="bibr" rid="B102">102</xref>).</p>
</sec>
<sec id="s2_2_2">
<label>2.2.2</label>
<title>Angiogenesis&#x2013;osteogenesis coupling and H-type vessels</title>
<p>Osteogenesis is tightly coupled to vascular supply: endothelial cells not only deliver nutrients and oxygen but also maintain osteoprogenitor cells and coordinate remodeling dynamics through angiocrine signaling. Studies on osteogenesis-vascular coupling have demonstrated that disruption of vascular signals can restrict osteogenic processes; conversely, enhancement of angiogenesis can boost osteoprogenitor cell activity <italic>in vivo</italic> and improve osteogenesis-related outcomes (<xref ref-type="bibr" rid="B103">103</xref>, <xref ref-type="bibr" rid="B104">104</xref>). H-type vessels have attracted attention as a spatially specific vascular component. Typically composed of a population of endothelial cells highly expressing CD31 and Endomucin, these vessels are enriched in osteogenically active regions and distributed in close proximity to osteoprogenitor cell populations, thus correlating with higher levels of bone formation (<xref ref-type="bibr" rid="B103">103</xref>, <xref ref-type="bibr" rid="B105">105</xref>). Mechanistically, endothelial cells can promote the osteogenic microenvironment by supporting the recruitment, proliferation and differentiation efficiency of progenitor cells, thereby enhancing the coupling between angiogenesis and osteogenesis (<xref ref-type="bibr" rid="B104">104</xref>, <xref ref-type="bibr" rid="B106">106</xref>). In osteoporosis-relevant contexts, reduced perfusion and loss of H-type vessels may suppress osteogenesis and amplify the net bone loss effect induced by enhanced osteoclastogenesis (<xref ref-type="bibr" rid="B105">105</xref>, <xref ref-type="bibr" rid="B107">107</xref>).</p>
</sec>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>The Immune niche: osteoimmunology dynamics</title>
<sec id="s2_3_1">
<label>2.3.1</label>
<title>Effects of chronic inflammation on bone density</title>
<p>Chronic inflammation is widely recognized as an important contributor to osteoporosis and can markedly impair the maintenance of bone mass and bone mineral density (BMD) (<xref ref-type="bibr" rid="B108">108</xref>, <xref ref-type="bibr" rid="B109">109</xref>). Under persistent inflammatory conditions, circulating and local levels of cytokines such as interleukin-1 (IL-1), IL-6, and tumor necrosis factor-&#x3b1; (TNF-&#x3b1;) are elevated; these mediators promote bone resorption by enhancing osteoclast differentiation and activity (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>). Clinical and experimental studies have reported a direct association between higher inflammatory cytokine burden and reduced BMD (<xref ref-type="bibr" rid="B110">110</xref>). In particular, IL-6 not only promotes osteoclastogenesis but can also suppress osteoblast function, thereby uncoupling bone formation from resorption and accelerating net bone loss. Accordingly, chronic disorders characterized by sustained inflammation&#x2014;such as diabetes, rheumatoid arthritis, and chronic kidney disease&#x2014;are frequently associated with lower BMD and increased fracture risk (<xref ref-type="bibr" rid="B111">111</xref>). Beyond direct effects on bone cells, chronic inflammation may also disrupt systemic regulators of mineral metabolism; for example, it can impair vitamin D activation (<xref ref-type="bibr" rid="B112">112</xref>), thereby compromising calcium absorption and utilization.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p><bold>(A)</bold> Cellular senescence, oxidative stress, and a pro-inflammatory state can lead to increased bone resorption and decreased bone formation, disrupting bone microenvironment homeostasis and increasing the risk of osteoporosis (<xref ref-type="bibr" rid="B129">129</xref>). Copyright 2025, MDPI. <bold>(B)</bold> Reducing ROS levels through drug intervention (<xref ref-type="bibr" rid="B130">130</xref>). Copyright 2022, MDPI. <bold>(C)</bold> Protecting BMSCs from ROS damage through drug intervention, with ALP staining and Alizarin Red staining demonstrating enhanced osteogenic capacity (<xref ref-type="bibr" rid="B130">130</xref>). Copyright 2022, MDPI.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-17-1783422-g002.tif">
<alt-text content-type="machine-generated">Panel A is a schematic diagram illustrating how oxidative stress leads to increased inflammation involving inflammatory cells and cytokines, and cellular senescence characterized by SASP production and changes in osteoblasts and marrow adiposity. Panel B presents three rows of fluorescence microscopy images showing JC-1 staining in red and green channels, comparing control, hydrogen peroxide-treated, and hydrogen peroxide plus leonurine-treated groups, with merged images highlighting mitochondrial membrane potential changes. Panel C shows two rows of microscopy images displaying cell staining patterns for different treatment groups, with and without hydrogen peroxide and increasing leonurine concentrations, to assess cellular changes.</alt-text>
</graphic></fig>
</sec>
<sec id="s2_3_2">
<label>2.3.2</label>
<title>Relationship between inflammatory cytokines and bone resorption</title>
<p>Inflammatory cytokines are key drivers of osteoclast activation and bone resorption in osteoporosis (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>). Pro-inflammatory mediators such as TNF-&#x3b1; and IL-1 can enhance osteoclastogenesis by upregulating RANKL expression in osteoblast-lineage and stromal cells, thereby strengthening pro-resorptive signaling (<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B50">50</xref>). These cytokines may also reduce osteoprotegerin (OPG) production, shifting the RANKL/OPG balance toward RANKL dominance and further amplifying bone resorption. In parallel, chronic inflammation activates nuclear factor-&#x3ba;B (NF-&#x3ba;B) signaling and promotes the sustained production of additional inflammatory mediators, creating a feed-forward cycle that reinforces osteoclast activity and progressive bone loss. IL-6 exemplifies this dual role: it contributes directly to resorption while also serving as a hallmark mediator in multiple chronic inflammatory diseases. Collectively, these mechanisms drive continuous loss of bone mass and deterioration of BMD. Therefore, therapeutic strategies that block key cytokines or modulate their downstream signaling pathways may help slow osteoporosis progression and offer clinically actionable intervention targets (<xref ref-type="bibr" rid="B51">51</xref>&#x2013;<xref ref-type="bibr" rid="B53">53</xref>).</p>
</sec>
<sec id="s2_3_3">
<label>2.3.3</label>
<title>Mechanisms of oxidative stress</title>
<p>Oxidative stress arises from an imbalance between reactive oxygen species (ROS) generation and antioxidant defense systems and plays a substantial role in the pathogenesis of osteoporosis (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B63">63</xref>). Excess ROS can induce macromolecular damage, trigger apoptosis, and amplify inflammatory signaling. Accumulating evidence indicates that oxidative stress directly promotes osteoblast apoptosis while enhancing osteoclast differentiation and activity, thereby accelerating bone loss (<xref ref-type="bibr" rid="B64">64</xref>&#x2013;<xref ref-type="bibr" rid="B66">66</xref>). Consistent with this, patients with osteoporosis often exhibit elevated circulating or tissue markers of oxidative stress, supporting a close link between redox imbalance and dysregulated bone metabolism.</p>
<p>Mechanistically, oxidative stress influences bone remodeling through multiple pathways. ROS can activate stress- and inflammation-related signaling cascades, including NF-&#x3ba;B and c-Jun N-terminal kinase (JNK), which promote the production of pro-inflammatory mediators and further stimulate osteoclastogenesis (<xref ref-type="bibr" rid="B67">67</xref>&#x2013;<xref ref-type="bibr" rid="B69">69</xref>). Oxidative stress also impairs osteogenic potential at the progenitor level: beyond inducing apoptosis in osteoblasts, it can compromise bone marrow mesenchymal stem/stromal cell (BMSC) function and shift lineage commitment toward adipogenesis at the expense of osteogenesis, reducing overall bone-forming capacity (<xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B71">71</xref>) (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2A, B</bold></xref>). Emerging evidence suggests that alleviating oxidative stress may serve as an adjunctive strategy for the prevention and management of osteoporosis. Interventional approaches that reduce reactive oxygen species (ROS) burden&#x2014;such as antioxidant supplementation or strategies to enhance the endogenous antioxidant system&#x2014;may help restore redox homeostasis and preserve skeletal health (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2C</bold></xref>).</p>
</sec>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Age-related deterioration: the microenvironment under siege</title>
<sec id="s3_1">
<label>3.1</label>
<title>Cellular senescence and stem cell exhaustion</title>
<sec id="s3_1_1">
<label>3.1.1</label>
<title>SASP as a central driver of inflammaging and uncoupled bone remodeling</title>
<p>Cellular senescence is increasingly recognized as a core hallmark of organismal aging and a key biological process contributing to age-associated tissue dysfunction, including musculoskeletal decline (<xref ref-type="bibr" rid="B131">131</xref>, <xref ref-type="bibr" rid="B132">132</xref>). In the bone microenvironment, the accumulation of senescent cells&#x2014;particularly within bone marrow stromal cells (BMSCs), osteoblast-lineage cells, and osteocytes&#x2014;has been implicated in osteoporosis pathogenesis and age-related bone loss (<xref ref-type="bibr" rid="B133">133</xref>&#x2013;<xref ref-type="bibr" rid="B135">135</xref>). With advancing age, persistent stressors such as oxidative stress and mitochondrial dysfunction activate DNA damage responses (DDR) and enforce stable cell-cycle arrest, thereby reducing the proliferative capacity and osteogenic potential of BMSCs and osteoblasts (<xref ref-type="bibr" rid="B136">136</xref>&#x2013;<xref ref-type="bibr" rid="B138">138</xref>).Recent high-resolution single-cell atlases have begun to resolve aging-associated niche remodeling at cellular and intercellular-communication levels, identifying senescent-like mesenchymal subclusters alongside age-biased immune populations and altered cell&#x2013;cell signaling within cranial skeletal stem cell niches, supporting a direct link between senescence programs and niche dysfunction during skeletal aging (<xref ref-type="bibr" rid="B139">139</xref>). A defining feature of senescent cells is the acquisition of the senescence-associated secretory phenotype (SASP), a pro-inflammatory and matrix-modulating secretome that includes cytokines such as interleukin-6 (IL-6), tumor necrosis factor-&#x3b1; (TNF-&#x3b1;), and interleukin-1&#x3b2; (IL-1&#x3b2;) (<xref ref-type="bibr" rid="B133">133</xref>, <xref ref-type="bibr" rid="B140">140</xref>). Mechanistically, SASP output is maintained by inflammatory transcriptional programs, with nuclear factor-&#x3ba;B (NF-&#x3ba;B) serving as a central hub that amplifies cytokine production and sustains a chronic inflammatory milieu (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B141">141</xref>). Integrative analyses combining scRNA-seq with bulk transcriptomics and cell&#x2013;cell communication inference further suggest that aging bone marrow is characterized by coordinated shifts in stromal and myeloid compartments (e.g., expansion of BMSCs and macrophages), enrichment of fibrotic and immune-inflammatory programs, and directional paracrine signaling from aged BMSCs that can promote myeloid aging-like phenotypes, collectively reinforcing inflammaging and impaired osteogenesis (<xref ref-type="bibr" rid="B142">142</xref>). Consistent with this concept, mechanistic work has uncovered a mechanoinflammatory autocrine loop in BMMSCs whereby loss of Piezo1 signaling enhances Ccl2/CCR2 activation, triggers NF-&#x3ba;B&#x2013;dependent Lcn2 production, and biases BMSCs toward adipogenesis at the expense of osteogenesis, providing a concrete pathway linking inflammation, cell-fate drift, and osteoporotic bone loss (<xref ref-type="bibr" rid="B143">143</xref>).</p>
<p>In bone, a SASP-enriched environment promotes osteoclastogenesis by enhancing RANKL-dependent signaling and disrupting the OPG/RANKL balance, thereby increasing bone resorption (<xref ref-type="bibr" rid="B135">135</xref>, <xref ref-type="bibr" rid="B144">144</xref>). Concurrently, SASP-associated inflammation impairs osteoblast differentiation and function and can suppress osteoanabolic pathways (e.g., via inhibition of Wnt signaling), culminating in uncoupled remodeling characterized by increased resorption and decreased formation (<xref ref-type="bibr" rid="B145">145</xref>) (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>). Beyond local effects, circulating SASP factors contribute to systemic &#x201c;inflammaging,&#x201d; potentially exacerbating osteoporosis progression and increasing susceptibility to age-related comorbidities (<xref ref-type="bibr" rid="B132">132</xref>, <xref ref-type="bibr" rid="B146">146</xref>). Importantly, targeting senescent cells has shown therapeutic promise in skeletal aging; for example, clearance of senescent cells prevented age-related bone loss <italic>in vivo</italic>, supporting senescence as an actionable driver rather than merely a correlate of aging (<xref ref-type="bibr" rid="B135">135</xref>). Recent syntheses further consolidate these mechanistic links and summarize emerging senotherapeutic strategies across skeletal pathophysiology (<xref ref-type="bibr" rid="B147">147</xref>). Together, senescent cells and their SASP represent key mechanistic mediators of osteoporotic bone loss and compelling targets for future interventions.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Aging-associated stressors, including oxidative stress and mitochondrial dysfunction, induce DNA damage responses (DDR) and stable cell-cycle arrest in BMSCs, osteoblast-lineage cells, and osteocytes, leading to cellular senescence. Senescent cells acquire a SASP characterized by pro-inflammatory cytokines (IL-6, TNF-&#x3b1;, IL-1&#x3b2;), which is amplified by NF-&#x3ba;B signaling. SASP promotes osteoclastogenesis by enhancing RANKL-dependent signaling and disturbing the OPG/RANKL balance, while impairing osteoblast function and suppressing osteoanabolic pathways, resulting in uncoupled remodeling and net bone loss. Circulating SASP factors contribute to systemic inflammaging.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-17-1783422-g003.tif">
<alt-text content-type="machine-generated">Flowchart diagram illustrating the progression from normal cells to senescent cells, showing how oxidative stress and mitochondrial dysfunction trigger DNA damage response, leading to SASP activation that causes inflammaging, disrupts osteoblast and osteoclast regulation, and results in osteoporosis.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_1_2">
<label>3.1.2</label>
<title>Lineage drift: osteogenic-to-adipogenic reprogramming in the aged marrow</title>
<p>A prominent hallmark of skeletal aging is the lineage shift of bone marrow mesenchymal stromal/stem cells (BMSCs): the osteogenic differentiation capacity declines, accompanied by enhanced adipogenic differentiation and expansion of bone marrow adipose tissue (<xref ref-type="bibr" rid="B148">148</xref>, <xref ref-type="bibr" rid="B149">149</xref>). At the transcriptional regulatory level, osteogenic modules such as RUNX2/OSX, which are driven by the Wnt/&#x3b2;-catenin and BMP pathways, become less amenable to activation. In contrast, the adipogenic regulatory network centered on PPAR&#x3b3; and C/EBP family members predominates, thereby lowering the threshold for adipogenic differentiation and raising the barrier to osteogenic initiation (<xref ref-type="bibr" rid="B61">61</xref>, <xref ref-type="bibr" rid="B150">150</xref>). This cellular reprogramming is not entirely governed by cell-intrinsic factors but is subject to persistent regulation by the aging microenvironment. Inflammatory signals enriched in the senescence-associated secretory phenotype (SASP) and the NF-&#x3ba;B-dependent cytokine milieu can suppress pro-osteogenic pathways and enhance the sensitivity of precursor cells to adipogenic cues. Concurrently, mechano-metabolic inputs&#x2014;including reduced mechanical loading, altered ECM mechanical properties, and changes in the activity of pathways such as AMPK/mTOR and YAP/TAZ&#x2014;further skew the differentiation fate of BMSCs from osteogenesis toward adipogenesis (<xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B151">151</xref>). Mounting evidence also indicates that BMSC populations themselves exhibit inherent heterogeneity. Aging can amplify the lineage shift by altering the proportion and plasticity of distinct precursor subpopulations (e.g., expansion of certain subpopulations, pre-activation of adipogenic programs, or loss of osteogenic potential). This provides a mechanistic explanation for the interindividual variability in bone marrow fat accumulation and osteogenic decline observed in aging populations (<xref ref-type="bibr" rid="B152">152</xref>, <xref ref-type="bibr" rid="B153">153</xref>). In terms of functional outcomes, the osteogenic-to-adipogenic drift limits the supply of osteoblast-lineage cells and favors a &#x201c;resorption-over-formation&#x201d; remodeling pattern. This accelerates net bone loss and impairs the integrity of bone microstructure (<xref ref-type="bibr" rid="B148">148</xref>, <xref ref-type="bibr" rid="B149">149</xref>).</p>
</sec>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>ECM stiffening and vascular rarefaction</title>
<p>Aging is also accompanied by remodeling of the extracellular matrix (ECM), which is critical for maintaining bone microenvironment function (<xref ref-type="bibr" rid="B154">154</xref>, <xref ref-type="bibr" rid="B155">155</xref>). With advancing age, the composition and organization of collagen and proteoglycans change, altering the matrix&#x2019;s mechanical properties and bioactivity. Such ECM remodeling can impair osteoblast adhesion, proliferation, and function, and may weaken osteoblast control over mineralization (e.g., by disrupting matrix cues that coordinate deposition and maturation of mineral). Blank and colleagues investigated osteoblast regulation using stage-specific EphrinB2 knockdown, demonstrating that EphrinB2 is required for osteoblast attachment and proliferation and dynamically regulates mineralization. These findings suggest that EphrinB2 not only influences osteoblast differentiation and function but also contributes to mineralization maturation by modulating the expression of mineralization-related genes (<xref ref-type="bibr" rid="B156">156</xref>) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p><bold>(A)</bold> Aging-associated extracellular matrix (ECM) remodeling impairs osteoblast adhesion and disrupts mineralization maturation via EphrinB2-dependent regulation. <bold>(B)</bold> Age-related decline in angiogenic capacity synergistically induces vascular insufficiency and bone loss, whereas aucubin exerts dual protective effects by enhancing VEGFR2 expression to promote angiogenesis and inhibiting RANKL expression to reduce bone resorption.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-17-1783422-g004.tif">
<alt-text content-type="machine-generated">Infographic with two panels labeled A and B comparing young and aged bone extracellular matrix (ECM), and illustrating molecular pathways affecting bone health. Panel A shows young bone ECM with balanced bone formation and osteoblast proliferation, contrasting aged bone ECM with reduced adhesion, impaired mineralization, and bone loss. EphrinB2 regulation steps are summarized at the center. Panel B outlines aging-induced decreases in VEGF expression, reduced angiogenesis, impaired nutrient delivery, and increased osteoporosis risk, and depicts Aucubin's role in reducing RANKL signaling, preserving skeletal homeostasis, and slowing osteoporosis progression.</alt-text>
</graphic></fig>
<p>In addition to matrix alterations, aging is associated with diminished angiogenic capacity and reduced vascular supply within bone (<xref ref-type="bibr" rid="B157">157</xref>, <xref ref-type="bibr" rid="B158">158</xref>). Expression of angiogenesis-related factors, including vascular endothelial growth factor (VEGF), declines with age, which can limit oxygen and nutrient delivery and further exacerbate metabolic dysregulation in skeletal tissue. Impaired vascularization reduces nutrient availability within the bone microenvironment and thereby facilitates osteoporosis development (<xref ref-type="bibr" rid="B159">159</xref>, <xref ref-type="bibr" rid="B160">160</xref>) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4B</bold></xref>). He and colleagues highlighted a dual role for aucubin in this context, showing that it promotes VEGFR2-mediated angiogenesis&#x2014;improving microenvironmental nutrient support&#x2014;while simultaneously attenuating RANKL-induced bone resorption, collectively slowing osteoporosis progression. This work underscores the tight coupling between angiogenesis and bone metabolism and highlights effective vascularization as an important determinant of skeletal homeostasis and protection against bone loss (<xref ref-type="bibr" rid="B161">161</xref>).</p>
<p>In summary, aging exerts multifactorial effects on bone homeostasis through coordinated changes in gene expression and epigenetic regulation, cellular senescence, ECM remodeling, and declines in angiogenic capacity. Defining how these processes interact will be essential for developing preventive and therapeutic strategies for age-related osteoporosis and for improving skeletal health in older adults (<xref ref-type="bibr" rid="B162">162</xref>&#x2013;<xref ref-type="bibr" rid="B164">164</xref>).</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>&#x201c;Inflammaging&#x201d;: the chronic immune shift</title>
<p>.The bidirectional interplay between cellular senescence and inflammation is increasingly recognized as a driver of skeletal aging and osteoporosis, rather than a secondary epiphenomenon (<xref ref-type="bibr" rid="B165">165</xref>, <xref ref-type="bibr" rid="B166">166</xref>). Senescent bone-resident cells can sustain a chronic, low-grade inflammatory state through the senescence-associated secretory phenotype (SASP), which is enriched in pro-inflammatory cytokines (e.g., IL-6, TNF-&#x3b1;, and IL-1 family members) and matrix-modulating factors (<xref ref-type="bibr" rid="B140">140</xref>, <xref ref-type="bibr" rid="B165">165</xref>). Mechanistically, persistent DNA-damage signaling can maintain inflammatory cytokine secretion in senescent cells, providing a molecular basis for long-lasting SASP output (<xref ref-type="bibr" rid="B136">136</xref>). Among SASP regulatory nodes, NF-&#x3ba;B has been identified as a central transcriptional hub that amplifies and stabilizes inflammatory secretome programs in senescence (<xref ref-type="bibr" rid="B55">55</xref>). In the skeletal context, NF-&#x3ba;B signaling is also a key determinant of remodeling balance: it is required for osteoclastogenesis and inflammatory bone resorption while it can impair osteoblast differentiation and osteoanabolic signaling (including crosstalk with Wnt/&#x3b2;-catenin pathways) (<xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B73">73</xref>).</p>
<p>This establishes a feed-forward loop in the aging bone microenvironment: inflammation and cellular stress promote senescence, which in turn increases SASP burden and further reinforces inflammatory signaling (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B140">140</xref>, <xref ref-type="bibr" rid="B166">166</xref>) (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>). At the remodeling level, pro-inflammatory cues converge on the RANKL&#x2013;RANK axis, a core pathway controlling osteoclast differentiation and activation (<xref ref-type="bibr" rid="B74">74</xref>, <xref ref-type="bibr" rid="B120">120</xref>). Importantly, age-associated cortical bone loss has been mechanistically linked to increased osteocyte-derived RANKL that is induced by senescence; notably, eliminating senescent cells reduced Tnfsf11 (RANKL) expression in cortical bone, providing direct evidence that senescence can be upstream of a RANKL-driven pro-resorptive shift (<xref ref-type="bibr" rid="B135">135</xref>, <xref ref-type="bibr" rid="B144">144</xref>). Oxidative stress can further potentiate this circuitry; for example, ROS-driven osteoblast senescence has been mechanistically connected to enhanced SASP production via NF-&#x3ba;B activation through a ROS&#x2013;PADI2&#x2013;NF-&#x3ba;B axis (<xref ref-type="bibr" rid="B138">138</xref>). Collectively, these findings support therapeutic strategies that interrupt the senescence&#x2013;inflammation network (e.g., senolytics, senomorphics targeting SASP/NF-&#x3ba;B, and redox-modulating approaches) to rebalance remodeling and mitigate osteoporosis progression (<xref ref-type="bibr" rid="B135">135</xref>, <xref ref-type="bibr" rid="B166">166</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Senescence and inflammation form a feed-forward loop in aging bone, in which persistent DDR sustains inflammatory cytokine secretion, and NF-&#x3ba;B integrates inflammatory signals to promote osteoclast-mediated resorption and suppress osteoblast differentiation/osteoanabolic signaling. Senescence-induced osteocyte RANKL (Tnfsf11) contributes to age-related cortical bone loss, and eliminating senescent cells reduces RANKL expression in cortical bone. Oxidative stress further amplifies SASP production via a ROS&#x2013;PADI2&#x2013;NF-&#x3ba;B axis. Therapeutic interruption of this network (senolytics, senomorphics targeting SASP/NF-&#x3ba;B, and redox-modulating approaches) may help rebalance bone remodeling.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-17-1783422-g005.tif">
<alt-text content-type="machine-generated">Flowchart titled &#x201c;Feed-forward senescence-inflammation loop&#x201d; illustrating interactions among NF-&#x3ba;B activation, inflammation, senescence with SASP, cellular stress, and bone resorption. Senolytics and senomorphics are shown as interventions disrupting or inhibiting pathways that drive osteoclast activation and bone loss, with supporting and reinforcing arrows connecting processes. Key mediators include ROS, DDR, cytokines, and the RANKL-RANK axis, linking inflammation and bone degeneration.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Gene expression regulation and epigenetic modifications</title>
<p>Aging is accompanied by profound shifts in gene expression, and the abundance of many bone microenvironment regulators in skeletal tissues changes in an age-dependent manner (<xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B76">76</xref>). For example, age-related osteoblast dysfunction is often associated with decreased expression of osteogenic growth factors, including bone morphogenetic proteins (BMPs) and transforming growth factor-&#x3b2; (TGF-&#x3b2;). Such changes can directly impair osteoblast proliferation and differentiation and may also destabilize the bone microenvironment by perturbing feedback networks that normally maintain remodeling homeostasis (<xref ref-type="bibr" rid="B77">77</xref>) (<xref ref-type="fig" rid="f6"><bold>Figures&#xa0;6A, B</bold></xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p><bold>(A)</bold> Activating the PI3K/Akt/mTOR pathway promotes autophagy, thereby protecting bone marrow mesenchymal stem cells from oxidative stress injury (<xref ref-type="bibr" rid="B84">84</xref>). Copyright 2026, ELSEVIER SCI LTD. <bold>(B)</bold> A relatively small proportion of osteocytes become senescent under stress stimuli. These cells likely induce an inflammatory microenvironment in the bone via SASP secretion, disrupting bone formation and enhancing osteoclast function (<xref ref-type="bibr" rid="B85">85</xref>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-17-1783422-g006.tif">
<alt-text content-type="machine-generated">Scientific illustration composed of two panels. Panel A visualizes mitochondrial and chromatin interactions via metabolic and epigenetic pathways, showing the electron transport chain and its impact on histone methylation, acetylation, and DNA demethylation. Panel B is a schematic of Wnt/&#x3b2;-catenin and TGF-&#x3b2; signaling pathways at the cellular membrane, depicting molecular participants, interactions, and gene expression regulation with labeled arrows for promotional, inhibitory, and relational effects.</alt-text>
</graphic></fig>
<p>Mechanistic studies further underscore how altered signaling and chromatin regulation reshape the aged bone niche. Li et&#xa0;al. reported that modulation of PDGF-AA downregulated PDGFR&#x3b1;, thereby relieving repression of the BMP&#x2013;Smad1/5/8 pathway and enhancing mesenchymal stem cell (MSC) osteogenic differentiation and migration; this was accompanied by reduced TGF-&#x3b2; signaling, collectively influencing bone microenvironment homeostasis (<xref ref-type="bibr" rid="B78">78</xref>). Similarly, Sinha and colleagues showed that Pbrm1 promotes PBAF-dependent chromatin remodeling to sustain BMP and TGF-&#x3b2; expression, thereby preserving osteogenic capacity and microenvironmental stability. In contrast, Pbrm1 loss reduced these key signals and impaired bone regeneration and repair (<xref ref-type="bibr" rid="B79">79</xref>).</p>
<p>In parallel, aging-associated epigenetic remodeling&#x2014;including DNA methylation and histone modifications&#x2014;modulates the transcriptional programs that govern the production and activity of bone microenvironment regulators (<xref ref-type="bibr" rid="B80">80</xref>, <xref ref-type="bibr" rid="B81">81</xref>). Ullah et&#xa0;al. demonstrated that knockout of &#x3b1;-1,3-galactosyltransferase was associated with altered DNA methylation patterns, reduced MSC proliferation and differentiation, accelerated cellular senescence, and disruption of bone microenvironment homeostasis (<xref ref-type="bibr" rid="B82">82</xref>). Moreover, epigenetic regulation of cell-cycle&#x2013;related genes appears to contribute to age-associated declines in osteoblast proliferative capacity and increased senescence (<xref ref-type="bibr" rid="B83">83</xref>). For example, Varela and colleagues reported that age-dependent epigenetic regulation of ZNF687&#x2014;linked to miR-142a-3p and DNA methylation&#x2014;downregulated key cell-cycle genes, thereby impairing osteoblast proliferation and accelerating cellular senescence and deterioration of bone metabolic function (<xref ref-type="bibr" rid="B81">81</xref>).To integrate the convergent mechanisms discussed above, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref> maps major signaling axes in osteoporosis to aging-related triggers, remodeling outcomes, and clinically actionable target nodes.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Key signaling axes in osteoporosis: triggers, remodeling outcomes, and targetable nodes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Axis/<xref ref-type="table" rid="T1">
Table&#xa0;1
</xref> class</th>
<th valign="middle" align="left">Aging triggers</th>
<th valign="middle" align="left">Main outcome</th>
<th valign="middle" align="left">Key nodes</th>
<th valign="middle" align="left">Targetability</th>
<th valign="middle" align="left">Interventions &amp; readouts</th>
<th valign="middle" align="left">Ref.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Wnt/beta-catenin suppression<break/>(Class: Wnt inhibitors)</td>
<td valign="middle" align="left">Aging suppression; inflammation (NF-kB)</td>
<td valign="middle" align="left">&#x2193; osteoblast differentiation -&gt; &#x2193; formation</td>
<td valign="middle" align="left">&#x3b2;-catenin; Frizzled; Dkk-1; SOST</td>
<td valign="middle" align="left">High</td>
<td valign="middle" align="left">Interventions: Anti-sclerostin; Dkk-1 blockade (experimental); Wnt restoration strategies; Readouts: BMD; osteogenic markers; Dkk-1/SOST levels</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B54">54</xref>&#x2013;<xref ref-type="bibr" rid="B61">61</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">RANKL-RANK-OPG imbalance<break/>(Class: Osteoclastogenic axis)</td>
<td valign="middle" align="left">IL-6/TNF-&#x3b1; up -&gt; RANKL&#x2191;; OPG&#x2193;</td>
<td valign="middle" align="left">&#x2191; osteoclast formation/activation -&gt; &#x2191; resorption</td>
<td valign="middle" align="left">RANKL, RANK, OPG</td>
<td valign="middle" align="left">High</td>
<td valign="middle" align="left">Interventions: Anti-RANKL; OPG-mimetic antagonism; downstream osteoclast blockade; Readouts: CTX/TRAP5b; RANKL/OPG ratio</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B41">41</xref>&#x2013;<xref ref-type="bibr" rid="B46">46</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">PI3K/AKT-mTOR/autophagy<break/>(Class: Survival &amp; anabolic mediators)</td>
<td valign="middle" align="left">Reduced pathway activity in OP; growth factors</td>
<td valign="middle" align="left">&#x2193; osteoblast survival/proliferation</td>
<td valign="middle" align="left">PI3K, AKT; IGF-1 (upstream)</td>
<td valign="middle" align="left">Medium</td>
<td valign="middle" align="left">Interventions: IGF-1/PI3K support; metabolic tuning (AMPK/mTOR); autophagy modulation; Readouts: Osteoblast survival; mineralization markers</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B56">56</xref>&#x2013;<xref ref-type="bibr" rid="B62">62</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">NF-kB inflammatory hub<break/>(Class: Pro-inflammatory cytokines)</td>
<td valign="middle" align="left">Chronic low-grade inflammation</td>
<td valign="middle" align="left">&#x2191; osteoclastogenesis; vicious cycle</td>
<td valign="middle" align="left">NF-kB; IL-6; TNF-&#x3b1;</td>
<td valign="middle" align="left">Medium</td>
<td valign="middle" align="left">Interventions: Anti-cytokine approaches; NF-kB pathway dampening (preclinical); combination with anabolic support; Readouts: CRP/cytokines; osteoclast markers</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B47">47</xref>&#x2013;<xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B85">85</xref>&#x2013;<xref ref-type="bibr" rid="B90">90</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Oxidative stress-&gt;NF-kB/JNK<break/>(Class: Oxidative stress mediators)</td>
<td valign="middle" align="left">ROS accumulation, mitochondrial dysfunction</td>
<td valign="middle" align="left">&#x2191; osteoblast apoptosis; &#x2191; osteoclast activity</td>
<td valign="middle" align="left">ROS; NF-kB; JNK</td>
<td valign="middle" align="left">Medium</td>
<td valign="middle" align="left">Interventions: Antioxidant/Nrf2 activation; mitochondrial protection; anti-inflammatory synergy; Readouts: Oxidative stress markers; BMD</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B63">63</xref>&#x2013;<xref ref-type="bibr" rid="B71">71</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Senescence/SASP<break/>(Class: Senescence program)</td>
<td valign="middle" align="left">Aging; ROS-driven senescence</td>
<td valign="middle" align="left">SASP-&gt;inflammation amplification</td>
<td valign="middle" align="left">SASP; IL-6; TNF-&#x3b1;</td>
<td valign="middle" align="left">Emerging</td>
<td valign="middle" align="left">Interventions: Senolytics; senomorphics/SASP suppression; JAK/NF-kB dampening (context-dependent); Readouts: Senescence markers; cytokine panels</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B72">72</xref>&#x2013;<xref ref-type="bibr" rid="B91">91</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">ECM remodeling &amp; stiffness shift<break/>(Class: ECM/adhesion &amp; mineralization)</td>
<td valign="middle" align="left">Collagen/proteoglycan changes with age</td>
<td valign="middle" align="left">Impaired adhesion, proliferation, mineralization</td>
<td valign="middle" align="left">ECM components; EphrinB2</td>
<td valign="middle" align="left">Medium-Low</td>
<td valign="middle" align="left">Interventions: Matrix-quality targeting (crosslinking/ECM turnover); mechanical loading; TGF-&#x3b2; tuning (context-dependent); Readouts: Histomorphometry; matrix markers</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B92">92</xref>&#x2013;<xref ref-type="bibr" rid="B102">102</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Angiogenesis decline &amp; perfusion loss<break/>(Class: Angiogenic niche factors)</td>
<td valign="middle" align="left">VEGF down; vascular niche impairment</td>
<td valign="middle" align="left">Nutrient/oxygen deficit -&gt; dysmetabolism</td>
<td valign="middle" align="left">VEGF; VEGFR2</td>
<td valign="middle" align="left">Medium</td>
<td valign="middle" align="left">Interventions: Pro-angiogenic strategies; exercise/loading; endothelial-osteogenic coupling support; Readouts: Vessel density; VEGF levels</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B103">103</xref>&#x2013;<xref ref-type="bibr" rid="B107">107</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Inflammation-Wnt crosstalk (Class: Cytokines + Wnt inhibitors)</td>
<td valign="middle" align="left">Cytokines suppress Wnt</td>
<td valign="middle" align="left">&#x201c;Formation brake&#x201d; strengthened</td>
<td valign="middle" align="left">NF-kB &lt;-&gt; Wnt</td>
<td valign="middle" align="left">Medium (combo)</td>
<td valign="middle" align="left">Interventions: Dual modulation: cytokine control + Wnt restoration; Readouts: Combined cytokine + Wnt inhibitor profiling</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B47">47</xref>&#x2013;<xref ref-type="bibr" rid="B61">61</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Inflammation-RANKL crosstalk<break/>(Class: Cytokines + RANKL axis)</td>
<td valign="middle" align="left">TNF-&#x3b1;/IL-1 upregulate RANKL</td>
<td valign="middle" align="left">&#x201c;Resorption accelerator&#x201d;</td>
<td valign="middle" align="left">TNF-&#x3b1;/IL-1 -&gt; RANKL</td>
<td valign="middle" align="left">High</td>
<td valign="middle" align="left">Interventions: Anti-cytokine + anti-RANKL; restore OPG/RANKL balance; Readouts: RANKL, CTX</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B41">41</xref>&#x2013;<xref ref-type="bibr" rid="B53">53</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Targetability is an editorial synthesis (High/Medium/Low/Emerging) based on clinical tractability and safety constraints; readouts are representative examples.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Interventions and treatment strategies for osteoporosis</title>
<p>Treatment paradigms for osteoporosis are shifting from single-agent therapy toward comprehensive, personalized, multi-target approaches (<xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B87">87</xref>). Rapid advances in genomics and proteomics have expanded the scope of precision medicine, enabling treatment plans to be tailored according to a patient&#x2019;s genetic background, skeletal metabolic profile, and inflammatory status. In parallel, cell-based strategies are gaining momentum, with mesenchymal stem/stromal cell therapies and exosome-based interventions emerging as major areas of investigation. Rather than targeting a single molecule, these approaches aim to restore bone homeostasis through broader regulation of the bone microenvironment (<xref ref-type="bibr" rid="B88">88</xref>, <xref ref-type="bibr" rid="B89">89</xref>).</p>
<p>For example, Wang et&#xa0;al. analyzed differentially expressed long non-coding RNAs (lncRNAs) in bone marrow MSC&#x2013;derived exosomes from postmenopausal osteoporosis patients and constructed lncRNA&#x2013;miRNA&#x2013;mRNA interaction networks to delineate pathways relevant to bone metabolism and cellular function. Their findings underscore the value of multi-omics analyses for mechanistic discovery and inform the development of individualized therapeutic strategies (<xref ref-type="bibr" rid="B90">90</xref>). Moreover, gene-editing technologies such as CRISPR&#x2013;Cas9 offer opportunities for targeted modulation of genes critical to bone metabolism and may ultimately enable disease-modifying interventions (<xref ref-type="bibr" rid="B91">91</xref>). In this context, Guo and colleagues applied dynamic network biomarker analysis to identify CDKN1A as a key factor during the initiation phase of mineralization and suggested that CRISPR&#x2013;Cas9 could provide a tool to modulate pivotal genes in bone metabolism, supporting new avenues for precision therapeutics in osteoporosis (<xref ref-type="bibr" rid="B167">167</xref>).</p>
<p>Looking ahead, combining pharmacologic and non-pharmacologic interventions is likely to become a defining feature of osteoporosis management. Beyond established antiresorptives such as bisphosphonates, newer biologics&#x2014;including monoclonal antibodies&#x2014;have shown substantial potential to suppress bone resorption and reduce fracture risk (<xref ref-type="bibr" rid="B168">168</xref>&#x2013;<xref ref-type="bibr" rid="B170">170</xref>). At the same time, personalized nutritional strategies, structured exercise and rehabilitation programs, and lifestyle modifications remain essential components of comprehensive care. The integration of artificial intelligence (AI) and large-scale clinical data may further improve early risk stratification and individualized intervention. For instance, recent work combining multiple machine-learning models (including feature selection and ensemble methods) with explainable AI approaches (e.g., SHAP and LIME) reported an osteoporosis risk-prediction system with 89% accuracy, enabling identification of high-risk individuals and supporting clinical decision-making (<xref ref-type="bibr" rid="B171">171</xref>). Nanotechnology-based platforms for targeted drug delivery and bone repair likewise offer promising translational directions (<xref ref-type="bibr" rid="B172">172</xref>, <xref ref-type="bibr" rid="B173">173</xref>). Mora-Raimundo and colleagues, for example, used mesoporous silica nanoparticles to co-deliver small interfering RNA (siRNA) and osteostatin, improving bone microarchitecture and supporting tissue restoration in experimental osteoporosis models (<xref ref-type="bibr" rid="B174">174</xref>). Overall, future strategies will increasingly emphasize multidisciplinary collaboration, integrating advances from molecular biology, clinical medicine, nutrition, rehabilitation, and data science to achieve more precise and effective osteoporosis prevention and treatment (<xref ref-type="bibr" rid="B175">175</xref>, <xref ref-type="bibr" rid="B176">176</xref>).To facilitate translation from mechanism to practice, <xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref> summarizes microenvironment-targeted intervention strategies for osteoporosis, organized by evidence ladder and translational readiness.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Microenvironment-targeted interventions for osteoporosis: evidence ladder and translational readiness.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Strategy</th>
<th valign="middle" align="left">Examples</th>
<th valign="middle" align="left">Stage</th>
<th valign="middle" align="left">Microenvironment target</th>
<th valign="middle" align="left">Strengths</th>
<th valign="middle" align="left">Bottlenecks</th>
<th valign="middle" align="left">Ref.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Classical anti-resorptives</td>
<td valign="middle" align="left">Bisphosphonates</td>
<td valign="middle" align="left">Approved (clinical)</td>
<td valign="middle" align="left">Osteoclast activity<break/>Best-fit: High-turnover OP; fracture prevention</td>
<td valign="middle" align="left">Robust efficacy, standard-of-care</td>
<td valign="middle" align="left">Long-term safety, adherence</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B79">79</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Biologics (mAbs)</td>
<td valign="middle" align="left">Monoclonal antibodies (e.g., anti-RANKL; anti-sclerostin)</td>
<td valign="middle" align="left">Approved (clinical)</td>
<td valign="middle" align="left">RANKL/OPG; Wnt inhibitor axis<break/>Best-fit: Very high fracture risk; high turnover or low formation</td>
<td valign="middle" align="left">High potency; mechanism-specific; rapid fracture-risk reduction</td>
<td valign="middle" align="left">Cost; injection logistics; patient selection; agent-specific safety signals</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B85">85</xref>&#x2013;<xref ref-type="bibr" rid="B87">87</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Cell therapy</td>
<td valign="middle" align="left">Mesenchymal stem cell (MSC) therapy</td>
<td valign="middle" align="left">Early clinical/preclinical</td>
<td valign="middle" align="left">Whole microenvironment regulation<break/>Best-fit: Refractory/low-turnover niche impairment (experimental)</td>
<td valign="middle" align="left">Multi-target, regenerative rationale</td>
<td valign="middle" align="left">Consistency, safety, scalability</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B143">143</xref>, <xref ref-type="bibr" rid="B144">144</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Exosome-based</td>
<td valign="middle" align="left">MSC-derived exosomes; exosomal lncRNA networks</td>
<td valign="middle" align="left">Preclinical/early</td>
<td valign="middle" align="left">Paracrine regulation<break/>Best-fit: Regenerative niche tuning; adjunct (preclinical)</td>
<td valign="middle" align="left">Cell-free, potentially safer</td>
<td valign="middle" align="left">Standardization, dosing, biodistribution</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B80">80</xref>, <xref ref-type="bibr" rid="B81">81</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Gene editing</td>
<td valign="middle" align="left">CRISPR-Cas9 targeting key genes</td>
<td valign="middle" align="left">Preclinical</td>
<td valign="middle" align="left">Fundamental pathway control<break/>Best-fit: Monogenic/rare OP; target validation (preclinical)</td>
<td valign="middle" align="left">Potentially disease-modifying</td>
<td valign="middle" align="left">Delivery, off-target, ethics/regulation</td>
<td valign="middle" align="center">[]</td>
</tr>
<tr>
<td valign="middle" align="left">Network biomarker-guided targeting</td>
<td valign="middle" align="left">Dynamic network biomarker</td>
<td valign="middle" align="left">Preclinical (concept)</td>
<td valign="middle" align="left">Early-phase trigger nodes<break/>Best-fit: Heterogeneous OP; early-phase trigger detection</td>
<td valign="middle" align="left">Precision strategy</td>
<td valign="middle" align="left">Validation + clinical translation pathway</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B84">84</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">AI risk prediction &amp; decision support</td>
<td valign="middle" align="left">ML + SHAP/LIME</td>
<td valign="middle" align="left">Translational (implementation)</td>
<td valign="middle" align="left">Early screening &amp; intervention timing<break/>Best-fit: Population screening; individualized decisions</td>
<td valign="middle" align="left">Scalable, preventive focus</td>
<td valign="middle" align="left">Data bias, external validation, regulation</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B88">88</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Nanotechnology drug delivery</td>
<td valign="middle" align="left">Mesoporous silica nanoparticles (MSNs) delivering siRNA/osteostatin; targeted delivery</td>
<td valign="middle" align="left">Preclinical -&gt; translational</td>
<td valign="middle" align="left">Targeted microenvironment delivery<break/>Best-fit: Local delivery when systemic limits</td>
<td valign="middle" align="left">Improves local efficacy, reduces systemic toxicity</td>
<td valign="middle" align="left">Safety, manufacturing, biodistribution</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B78">78</xref>, <xref ref-type="bibr" rid="B89">89</xref>&#x2013;<xref ref-type="bibr" rid="B91">91</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Lifestyle &amp; rehab</td>
<td valign="middle" align="left">Exercise rehab, lifestyle modification</td>
<td valign="middle" align="left">Clinical (practice)</td>
<td valign="middle" align="left">Systemic inflammatory/metabolic milieu<break/>Best-fit: Adjunct across stages; overall health</td>
<td valign="middle" align="left">Low cost, broad benefit</td>
<td valign="middle" align="left">Compliance, personalization</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B126">126</xref>, <xref ref-type="bibr" rid="B127">127</xref>, <xref ref-type="bibr" rid="B152">152</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Precision medicine/multi-omics</td>
<td valign="middle" align="left">Genomics/proteomics-informed stratification</td>
<td valign="middle" align="left">Emerging</td>
<td valign="middle" align="left">Patient stratification<break/>Best-fit: Endotype-driven stratification; responder selection</td>
<td valign="middle" align="left">Better responder identification</td>
<td valign="middle" align="left">Cost, workflow integration</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B82">82</xref>, <xref ref-type="bibr" rid="B83">83</xref>, <xref ref-type="bibr" rid="B125">125</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion and discussion</title>
<p>Although substantial progress has been made in elucidating how bone microenvironmental factors contribute to osteoporosis pathogenesis, important limitations remain. First, osteoporosis is a multifactorial disorder shaped by complex interactions among genetic susceptibility, environmental exposures, nutritional status, and lifestyle factors. Second, while emerging technologies&#x2014;including gene editing and stem/stromal cell&#x2013;based therapies&#x2014;offer promising therapeutic avenues, their translation requires rigorous evaluation of long-term efficacy, safety, and feasibility. Future research should therefore strengthen the integration of basic and clinical studies to accelerate mechanistic discovery while ensuring patient safety.</p>
<p>Looking ahead, increasingly precise strategies for osteoporosis prevention and treatment are likely to emerge from ongoing technological advances. Precision medicine may enable treatment plans tailored to an individual&#x2019;s genetic background, lifestyle, and nutritional profile. High-resolution approaches such as single-cell sequencing and proteomics can facilitate the identification of patient-specific biomarkers, supporting earlier risk stratification, screening, and targeted intervention. In parallel, the integration of artificial intelligence (AI) may improve analytical efficiency and enable the discovery of therapeutic targets from large-scale datasets, thereby refining prevention and treatment algorithms. In addition, nanotechnology and smart biomaterials provide opportunities for more efficient drug delivery and bone repair. Collectively, these innovations may shift clinical paradigms from predominantly symptomatic management toward earlier, preventive, and individualized care.</p>
<p>Bone microenvironmental factors are central to the initiation and progression of osteoporosis. As a dynamic tissue, bone undergoes continuous remodeling that depends on coordinated interactions among osteoblasts, osteoclasts, and other niche components. Accordingly, research should move beyond isolated single-factor models and instead interrogate multilevel, multifactorial networks that govern remodeling under diverse physiological and pathological conditions. Such integrative investigation may uncover previously unrecognized therapeutic targets and improve our ability to modulate remodeling balance. Moreover, because bone microenvironment health is closely linked to systemic physiology, insights into microenvironmental dysregulation may also inform studies of other bone-related disorders.</p>
<p>In summary, osteoporosis is a complex, multifactorial disease driven in part by dysregulation of bone microenvironmental factors. A comprehensive understanding of these regulators and their interactions can reveal actionable intervention targets and guide future research priorities. Coupled with emerging technologies, bone microenvironment&#x2013;focused research is expected to advance early screening and personalized management of osteoporosis. Continued progress will require multidisciplinary, systems-oriented approaches that bridge basic mechanisms with clinical translation, ultimately improving skeletal health and quality of life.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>HY: Methodology, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. YC: Validation, Writing &#x2013; review &amp; editing. PL: Writing &#x2013; review &amp; editing. SS: Writing &#x2013; review &amp; editing. CP: Supervision, Writing &#x2013; review &amp; editing. DW: Supervision, Writing &#x2013; review &amp; editing.</p></sec>
<sec id="s8" sec-type="COI-statement">
<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 id="s9" sec-type="ai-statement">
<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 id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
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<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1196400">Bo Li</ext-link>, Sichuan University, China</p></fn>
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