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<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
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<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2025.1754693</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Targeting inflammation-metabolism crosstalk: current status and challenges of novel therapeutic strategies for osteoarthritis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Baolong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
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</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Maoquan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
</contrib>
<contrib contrib-type="author">
<name><surname>Gao</surname> <given-names>Lu</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Yang</surname> <given-names>Hao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/3294787/overview"/>
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<aff id="aff1"><label>1</label><institution>Qingdao Traditional Chinese Medicine Hospital, Qingdao Hiser Hospital Affiliated of Qingdao University</institution>, <city>Qingdao</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Qingdao Women and Children&#x2019;s Hospital</institution>, <city>Qingdao</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Hao Yang, <email xlink:href="mailto:yang13667192040@sina.com">yang13667192040@sina.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-12">
<day>12</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1754693</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>10</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Liu, Zhang, Gao and Yang.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Liu, Zhang, Gao and Yang</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-12">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>Osteoarthritis (OA) is a prevalent degenerative joint disease characterized by complex interactions between inflammation and metabolism. Recent years have seen a growing interest in targeted therapeutic strategies that address these interactions, aiming to alleviate the symptoms and progression of OA. This review provides a comprehensive overview of emerging treatment strategies in OA, focusing on the targeting of inflammatory mediators, metabolic regulators, and their combined applications. Additionally, we discuss the current challenges faced in the field, including the heterogeneity of OA and the need for personalized treatment approaches. By highlighting recent advancements and potential future directions, this article aims to contribute to the development of innovative therapies for OA, ultimately enhancing patient outcomes and quality of life.</p>
</abstract>
<kwd-group>
<kwd>inflammation</kwd>
<kwd>metabolism</kwd>
<kwd>novel strategies</kwd>
<kwd>osteoarthritis</kwd>
<kwd>targeted therapy</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
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<fig-count count="2"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="130"/>
<page-count count="12"/>
<word-count count="9587"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Rheumatology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Osteoarthritis (OA), a prevalent degenerative joint disease and chronic condition characterized by complex interactions between inflammation and metabolism, as well as degeneration of articular cartilage, subchondral bone remodeling, and synovial inflammation, represents a major source of pain, disability, and socioeconomic cost worldwide due to its complex and multifactorial epidemiology involving genetic, biological, and biomechanical components, and leads to significant pain and functional impairment (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). The disease affects millions of people worldwide and is particularly prevalent among the elderly (<xref ref-type="bibr" rid="B4">4</xref>). Recent research has increasingly recognized the pivotal role of inflammation in OA pathogenesis, highlighting the intricate interplay between inflammatory processes and metabolic disturbances that drive disease progression. Inflammatory factors not only exacerbate joint damage but also disrupt metabolic homeostasis, creating a vicious cycle that fuels disease progression.</p>
<p>Inflammation was not initially regarded as a feature of OA (<xref ref-type="bibr" rid="B5">5</xref>). Following the identification of acute and chronic inflammation in osteoarthritis, this inflammation was initially considered a sequela rather than a disease driver&#x2013;especially in contrast to prototypical inflammatory diseases such as rheumatoid or psoriatic arthritis&#x2013;whereas recent preclinical and clinical evidence strongly supports inflammation as a central driver of osteoarthritis (<xref ref-type="bibr" rid="B6">6</xref>). OA inflammation is a complex pathophysiological phenomenon encompassing multiple cell and tissue types within and beyond the joint, and the interaction between inflammation and metabolism in OA is equally complex and multifaceted (<xref ref-type="bibr" rid="B7">7</xref>). Metabolic syndrome, characterized by obesity, insulin resistance, and dyslipidemia, has been linked to an increased risk of developing OA (<xref ref-type="bibr" rid="B8">8</xref>). Levels of inflammatory cytokines such as interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-&#x03B1;) are elevated in OA conditions (<xref ref-type="bibr" rid="B9">9</xref>). Furthermore, metabolic dysregulation can enhance the inflammatory response, leading to further joint degradation. Recognition of these interactions has spurred the investigation of novel therapeutic approaches targeting both inflammatory and metabolic pathways to enhance outcomes in OA patients (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>Recent advances in understanding the molecular mechanisms underlying OA have opened new therapeutic avenues. For instance, the role of the NLRP3 inflammasome in mediating metabolic inflammation has attracted significant attention given its function as a critical link between metabolic stress and inflammatory responses. Targeting this pathway may offer a strategy to alleviate both inflammation and associated metabolic dysfunctions contributing to OA. Additionally, dietary factors and lifestyle modifications, including exercise, have been shown to influence both inflammation and metabolic health, thereby further emphasizing the importance of a holistic approach to OA management (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Significant advancements have been made in unraveling the inflammation-metabolism interplay in osteoarthritis, including the identification of critical molecular mediators, regulatory signaling networks, and pathological crosstalk. However, translating these mechanistic insights into effective clinical interventions remains highly challenging. Key barriers include the complexity of multi-target interactions, disease heterogeneity across patient subsets, and discrepancies between preclinical model phenotypes and human OA pathophysiology. The heterogeneity of OA, shaped by genetic, environmental, and lifestyle factors, complicates the identification of universal therapeutic strategies (<xref ref-type="bibr" rid="B12">12</xref>). Furthermore, while some anti-inflammatory therapeutic agents have demonstrated efficacy, there remains a paucity of disease-modifying osteoarthritis drugs (DMOADs) that effectively halt disease progression (<xref ref-type="bibr" rid="B13">13</xref>). As research continues to evolve, it is imperative to focus on integrating anti-inflammatory and metabolic strategies to develop comprehensive treatment protocols for OA (<xref ref-type="bibr" rid="B14">14</xref>).</p>
</sec>
<sec id="S2">
<label>2</label>
<title>Main body</title>
<sec id="S2.SS1">
<label>2.1</label>
<title>Pathophysiology of osteoarthritis</title>
<p>Osteoarthritis (OA) is a highly prevalent degenerative joint disease that affects millions of individuals worldwide. It is characterized by progressive articular cartilage degradation, associated synovial inflammation, and aberrant subchondral bone remodeling. Collectively, these pathological changes drive joint pain, functional decline, and impaired quality of life (<xref ref-type="bibr" rid="B15">15</xref>). The pathophysiology of osteoarthritis (OA) is multifaceted and highly complex, encompassing a dynamic and intricate interplay of mechanical factors (e.g., abnormal joint loading, repetitive microtrauma), biochemical factors (e.g., imbalances in matrix-degrading enzymes and their inhibitors, dysregulated chondrocyte metabolism), and inflammatory factors (e.g., accumulation of proinflammatory cytokines, synovial immune cell infiltration) that collectively contribute to disease initiation and progression (<xref ref-type="fig" rid="F1">Figure 1</xref>) (<xref ref-type="bibr" rid="B16">16</xref>). One of the primary features of OA is the breakdown of cartilage, which is essential for joint function. As the cartilage deteriorates, it leads to pain, stiffness, and loss of mobility, significantly impacting the quality of life for affected individuals. The disease is often associated with aging, obesity, and metabolic disorders, which further complicate its management and progression (<xref ref-type="bibr" rid="B17">17</xref>). Gaining a comprehensive understanding of the intricate underlying mechanisms driving osteoarthritis remains a pivotal prerequisite for the development of targeted and effective therapeutic strategies aimed at not only slowing or halting disease progression but also alleviating the debilitating symptoms, such as joint pain, stiffness, and functional impairment, that significantly impact patient quality of life (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>The pathophysiology of osteoarthritis.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-12-1754693-g001.tif">
<alt-text content-type="machine-generated">Diagram illustrating the cellular process involved in osteoarthritis. It shows endocytosis of exosomes containing proteins, nucleic acids, and lipids with surface-specific proteins like CD9 and CD63. The process includes movement through early and late sorting endosomes, fusion events, and exocytosis from the multivesicular body to the cell membrane. Components include receptors, integrins, lipid anchors, the endoplasmic reticulum, Golgi, nucleus, and mitochondrion.</alt-text>
</graphic>
</fig>
<sec id="S2.SS1.SSS1">
<label>2.1.1</label>
<title>Structure and function of articular cartilage</title>
<p>Articular cartilage, a specialized avascular connective tissue composed of chondrocytes and extracellular matrix (ECM; primarily type II collagen and proteoglycans), enables frictionless joint movement and shock absorption (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>). Its avascular nature limits nutrient diffusion and repair capacity, rendering it susceptible to degeneration when exposed to stressors (such as inflammation, metabolic dysfunction) (<xref ref-type="bibr" rid="B23">23</xref>). OA is hallmarked by progressive ECM degradation [via matrix metalloproteinases (MMPs) and ADAMTS] and chondrocyte loss, leading to joint pain and functional decline (<xref ref-type="bibr" rid="B24">24</xref>).</p>
</sec>
<sec id="S2.SS1.SSS2">
<label>2.1.2</label>
<title>The role of inflammation in OA</title>
<p>Numerous key studies in recent years have demonstrated that inflammation plays a pivotal role in the pathogenesis of OA, challenging the traditional view that OA is a non-inflammatory disease. Low-grade chronic inflammation in OA is mediated by pro-inflammatory cytokines (IL-1&#x03B2;, TNF-&#x03B1;, IL-6), which activate chondrocyte catabolic pathways, induce MMP-1, -3, -13, and ADAMTS expression, and degrade type II collagen and aggrecan (<xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>). Synovial inflammation (synovitis) further amplifies tissue damage by recruiting immune cells (macrophages) and releasing proteolytic enzymes, exacerbating pain and stiffness (<xref ref-type="bibr" rid="B28">28</xref>). This inflammatory cascade is not a secondary sequela but a primary driver of OA pathogenesis.</p>
</sec>
<sec id="S2.SS1.SSS3">
<label>2.1.3</label>
<title>The relationship between metabolic dysregulation and OA</title>
<p>Metabolic dysregulation&#x2013;including conditions such as obesity, diabetes, and insulin resistance&#x2013;has emerged as a critical driver of osteoarthritis (OA) pathogenesis. Notably, its role extends beyond mechanical stress, encompassing systemic inflammation and cellular dysfunction that contribute to disease progression (<xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>). Obesity, a key metabolic risk factor, contributes to OA through adipokines such as leptin and adiponectin, which promote cartilage degradation and synovial inflammation (<xref ref-type="fig" rid="F2">Figure 2</xref>) (<xref ref-type="bibr" rid="B32">32</xref>). For instance, leptin activates pro-inflammatory pathways in chondrocytes and synovial fibroblasts, while adiponectin&#x2019;s protective role in cartilage homeostasis is compromised in obese individuals (<xref ref-type="bibr" rid="B33">33</xref>). Epidemiological studies highlight a threefold increased risk of knee OA in obese populations, underscoring the metabolic-mechanical interplay (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Diabetes mellitus, particularly type 2 diabetes (T2D), exacerbates OA through hyperglycemia-induced advanced glycation end products (AGEs) and insulin resistance (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). AGEs disrupt cartilage matrix integrity by cross-linking collagen and activating receptor for AGE (RAGE)-mediated oxidative stress. Insulin resistance, a hallmark of T2D, impairs chondrocyte metabolism by downregulating anabolic pathways (such as type II collagen synthesis) and upregulating catabolic enzymes like matrix metalloproteinases (<xref ref-type="bibr" rid="B38">38</xref>). Mendelian randomization studies further suggest a causal link between insulin therapy and increased OA risk, possibly via augmented systemic inflammation (<xref ref-type="bibr" rid="B39">39</xref>). Metabolic inflammation, characterized by elevated IL-6, TNF-&#x03B1;, and complement components, bridges metabolic dysfunction and OA progression (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>). Adipose tissue-derived cytokines promote a pro-inflammatory microenvironment in joints, while systemic low-grade inflammation drives cartilage degradation and subchondral bone remodeling (<xref ref-type="bibr" rid="B42">42</xref>). Notably, synovial inflammation in OA is macrophage-predominant, releasing proteolytic enzymes that degrade the extracellular matrix (<xref ref-type="bibr" rid="B43">43</xref>&#x2013;<xref ref-type="bibr" rid="B45">45</xref>). Mechanistically, metabolic dysregulation disrupts chondrocyte autophagy, a process critical for maintaining cartilage health. While autophagy initially protects against stress, chronic metabolic stress induces excessive autophagy in OA chondrocytes, leading to cell death and matrix loss (<xref ref-type="bibr" rid="B46">46</xref>). Adiponectin, through AMPK pathway activation, has been shown to restore autophagic balance in preclinical models, offering a potential therapeutic avenue. Emerging evidence also highlights the role of gut microbiome dysbiosis in metabolic OA, where microbial metabolites and leaky gut syndrome amplify systemic inflammation (<xref ref-type="bibr" rid="B47">47</xref>). Metabolomics studies further reveal distinct metabolic signatures in OA patients, including altered lipid and glucose profiles, which may serve as biomarkers for disease staging and personalized treatment. In conclusion, metabolic dysregulation profoundly influences OA pathogenesis through interconnected pathways of inflammation, adipokine imbalance, and cellular stress. Targeting these mechanisms&#x2013;such as adipokine signaling, insulin sensitivity, and autophagic regulation&#x2013;holds promise for developing disease-modifying therapies (<xref ref-type="bibr" rid="B48">48</xref>). Future research integrating multiomics approaches and longitudinal studies will deepen our understanding of this complex relationship, paving the way for precision medicine in OA management.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>The relationship between metabolic dysregulation and OA.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-12-1754693-g002.tif">
<alt-text content-type="machine-generated">Illustration of joint inflammation showing cartilage degradation. The femur and tibia are labeled. Synovium, articular cartilage, and calcified cartilage are indicated. Inflammatory markers like IL-1&#x03B2;, IL-6, TNF, and others lead to synovial fibroblasts and chondrocyte activity, impacting collagen, enzymes, and proteoglycans. Reactive oxygen species and factors like leptin and insulin resistance contribute to chondrocyte apoptosis and hypertrophic synovial membrane.</alt-text>
</graphic>
</fig>
</sec>
<sec id="S2.SS1.SSS4">
<label>2.1.4</label>
<title>OA heterogeneity: phenotype/endotype classification and therapeutic implications</title>
<p>Osteoarthritis is increasingly recognized as a highly heterogeneous disease with distinct phenotypic and endotypic characteristics, which directly influence disease progression patterns and therapeutic responses (<xref ref-type="bibr" rid="B49">49</xref>&#x2013;<xref ref-type="bibr" rid="B52">52</xref>). Phenotypically, OA can be categorized based on clinical manifestations such as affected joint sites (knee, hip, hand), disease onset age (early-onset vs. late-onset), and presence of comorbidities (obesity, type 2 diabetes, metabolic syndrome) (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B53">53</xref>&#x2013;<xref ref-type="bibr" rid="B58">58</xref>). However, phenotypic classification alone is insufficient to capture the underlying biological variability driving disease pathogenesis. Endotypic classification, which is rooted in distinct pathophysiological mechanisms, provides a more precise framework for guiding personalized therapy. Based on the relative contributions of inflammatory and metabolic dysregulation to disease initiation and progression, we propose a three-tier endotypic classification system for OA:</p>
<p>Inflammation-dominant OA: this endotype is characterized by robust synovial inflammation, elevated levels of pro-inflammatory cytokines (IL-1&#x03B2;, TNF-&#x03B1;, IL-6), and prominent synovitis observed via imaging or histology (<xref ref-type="bibr" rid="B50">50</xref>). It accounts for approximately 15%&#x2013;30% of OA cases, often presenting with acute symptom flares, joint swelling, and rapid cartilage degradation (<xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B60">60</xref>). Patients in this subgroup typically lack major metabolic comorbidities and exhibit strong responses to anti-inflammatory interventions in preclinical models.</p>
<p>Metabolism-dominant OA: this endotype is driven by systemic metabolic dysregulation, with obesity, insulin resistance, and dyslipidemia as core pathogenic factors (<xref ref-type="bibr" rid="B61">61</xref>&#x2013;<xref ref-type="bibr" rid="B63">63</xref>). Key features include dysregulated adipokine signaling (leptin overexpression, adiponectin deficiency), advanced glycation end product (AGE) accumulation, and impaired chondrocyte metabolic homeostasis (<xref ref-type="bibr" rid="B64">64</xref>). Patients often present with gradual symptom progression, diffuse joint involvement, and a strong correlation between disease severity and metabolic parameters (body mass index, HbA1c, lipid profiles). Inflammatory markers are usually moderately elevated but not the primary driver of tissue damage (<xref ref-type="bibr" rid="B51">51</xref>).</p>
<p>Mixed OA: this endotype represents the most common subgroup (estimated 40%&#x2013;60% of cases), characterized by intertwined inflammatory and metabolic dysregulation. In this subgroup, metabolic disturbances (e.g., insulin resistance) amplify inflammatory responses, while chronic inflammation further exacerbates metabolic dysfunction, forming a self-perpetuating vicious cycle. Patients typically present with both metabolic comorbidities and evidence of synovitis, with variable symptom patterns and disease progression rates.</p>
<p>The clinical implications of this endotypic classification are profound. For inflammation-dominant OA, targeted anti-inflammatory therapies such as IL-1&#x03B2; inhibitors (anakinra) or JAK inhibitors may be prioritized, as they directly address the core pathogenic driver. For metabolism-dominant OA, interventions targeting metabolic pathways&#x2013;including insulin sensitizers (metformin), lipid-lowering agents (statins), and lifestyle modifications (weight loss, exercise)&#x2013;are more likely to yield clinical benefits. The mixed endotype requires synergistic targeting of both pathways.</p>
</sec>
</sec>
<sec id="S2.SS2">
<label>2.2</label>
<title>Targeted inflammatory factor treatment strategies</title>
<p>The treatment of inflammatory diseases has witnessed a marked shift toward precision-targeted strategies, which selectively target specific inflammatory cytokines, signaling molecules, or pathogenic pathways. This paradigm shift is driven by the recognition that conventional broad-spectrum anti-inflammatory therapies often exert off-target effects on homeostatic immune functions. Such off-target effects ultimately lead to compromised efficacy and increased adverse events in clinical practice. This targeted approach is particularly critical for advancing therapeutic development, as it enables the design of interventions that specifically disrupt pathological inflammatory cascades while sparing physiological immune responses, thereby minimizing systemic side effects and enhancing clinical efficacy. Central to this progress is the growing mechanistic understanding of inflammatory processes. This understanding encompasses the spatiotemporal dynamics of cytokine secretion, the interplay between pro-inflammatory and anti-inflammatory mediators, and the downstream signaling networks that amplify or resolve inflammation. Such mechanistic insight provides a rational basis for identifying actionable molecular targets in inflammatory disease research. Within this framework, this section will elaborate on three primary therapeutic strategies: cytokine-specific inhibitors (e.g., monoclonal antibodies against TNF-&#x03B1; or IL-6), which directly neutralize pro-inflammatory mediators; the clinical application of biologic agents (such as recombinant cytokines or cell-based therapies) that modulate immune cell function; and the development of small-molecule drugs designed to inhibit key enzymes or receptors within inflammatory signaling pathways (e.g., JAK inhibitors or MAPK antagonists).</p>
<sec id="S2.SS2.SSS1">
<label>2.2.1</label>
<title>Cytokine inhibitors</title>
<p>Cytokine inhibitors have established themselves as a pivotal therapeutic modality in the management of diverse inflammatory disorders, and their utility in OA has been actively explored. These agents&#x2013;encompassing monoclonal antibodies, fusion proteins, and small-molecule antagonists&#x2013;exert their effects through selective targeting of key pro-inflammatory cytokines (TNF-&#x03B1;, IL-6, IL-1) that drive tissue inflammation, immune cell recruitment, and matrix degradation in OA pathogenesis. Preclinical evidence: TNF-&#x03B1; inhibitors (adalimumab) reduce cartilage degradation in mouse OA models, IL-1&#x03B2; inhibitors (anakinra) alleviate synovitis and chondrocyte catabolism. Clinical evidence: TNF inhibitors show inconsistent efficacy in Phase III OA trials due to heterogeneity, anakinra provides modest symptomatic relief in inflammation-dominant OA subsets (Phase II trials). IL-1&#x03B2; inhibitors such as anakinra have shown modest symptomatic relief in some OA subsets, particularly in patients with high synovial inflammation. The development of these inhibitors has been driven by the understanding of cytokine signaling pathways and the role of specific cytokines in OA pathology. However, challenges such as variable patient response, potential adverse effects (e.g., increased infection risk), and the need for individualized treatment strategies remain critical considerations in their clinical application.</p>
</sec>
<sec id="S2.SS2.SSS2">
<label>2.2.2</label>
<title>Application of biological agents</title>
<p>Biological agents, including monoclonal antibodies and fusion proteins, represent a significant advancement in the treatment of inflammatory diseases. These agents are designed to target specific components of the immune system, including cytokines, receptors, and immune cells, thereby modulating the inflammatory response. Preclinical evidence: Tocilizumab (IL-6 receptor antagonist) inhibits synovial inflammation and cartilage degradation in rat OA models. Clinical evidence: Tocilizumab is effective for rheumatoid arthritis and systemic juvenile idiopathic arthritis (Phase III trials), its OA efficacy is being evaluated in Phase II trials for inflammation-dominant subsets (<xref ref-type="bibr" rid="B65">65</xref>). Moreover, the use of biologics in inflammatory bowel disease has transformed treatment paradigms, allowing for targeted therapy that can induce and maintain remission in patients with moderate to severe disease (<xref ref-type="bibr" rid="B66">66</xref>). The precision of biological agents enables tailored treatment options that can significantly improve patient outcomes. However, the high cost of these therapies and their potential for immunogenicity pose challenges, necessitating ongoing research to optimize their clinical application.</p>
</sec>
<sec id="S2.SS2.SSS3">
<label>2.2.3</label>
<title>Development of small molecule drugs</title>
<p>The development of small-molecule drugs targeting inflammatory pathways has gained increasing momentum driven by their inherent potential for oral administration and lower production costs compared with biologics. These small-molecule drugs (targeting inflammatory pathways) can modulate multiple aspects of the inflammatory response, including the inhibition of key signaling pathways that are involved in cytokine production and immune cell activation (<xref ref-type="bibr" rid="B67">67</xref>). Preclinical evidence: JAK inhibitors reduce proinflammatory cytokine levels and cartilage degradation in mouse OA models. Clinical evidence: JAK inhibitors show efficacy for rheumatoid arthritis and atopic dermatitis (Phase III trials), OA trials (Phase II) demonstrate symptom improvement in inflammation-dominant patients (<xref ref-type="bibr" rid="B68">68</xref>). These small molecules have demonstrated efficacy in treating conditions such as rheumatoid arthritis and atopic dermatitis, providing an alternative for patients who may not respond to traditional therapies (<xref ref-type="bibr" rid="B69">69</xref>&#x2013;<xref ref-type="bibr" rid="B71">71</xref>). Additionally, the inherent flexibility in the chemical design of these small-molecule agents (e.g., JAK inhibitors) enables the systematic optimization of key pharmacokinetic properties&#x2013;including oral bioavailability, <italic>in vivo</italic> half-life, and target tissue penetration&#x2013;thereby further enhancing their overall therapeutic potential (<xref ref-type="bibr" rid="B72">72</xref>). However, notable challenges still remain in ensuring high target specificity for the intended inflammatory signaling pathways and minimizing unintended off-target effects, as such off-target interactions may trigger a spectrum of adverse reactions that compromise treatment safety and patient tolerability (<xref ref-type="bibr" rid="B73">73</xref>). Against this backdrop of addressing existing challenges, ongoing research focuses on two core objectives: deciphering the precise mechanisms of action of small-molecule anti-inflammatory agents, and developing structurally novel small molecules with enhanced target specificity and reduced off-target risks. Such research continues to broaden and advance the therapeutic landscape for the effective management of inflammatory diseases.</p>
</sec>
</sec>
<sec id="S2.SS3">
<label>2.3</label>
<title>Application of metabolic regulators in OA treatment</title>
<p>The application of metabolic regulators in the treatment of OA is gaining traction as research continues to unveil the complex interplay between metabolism and inflammation in joint diseases. Metabolic dysregulation, and specifically systemic metabolic dysregulation with a particular focus on impaired insulin sensitivity and dysregulated lipid metabolism, has been increasingly recognized to be intricately involved in both the pathogenesis initiation and progressive deterioration of OA (<xref ref-type="bibr" rid="B74">74</xref>&#x2013;<xref ref-type="bibr" rid="B76">76</xref>). By strategically targeting the aforementioned metabolic pathways&#x2013;those linked to impaired insulin sensitivity and dysregulated lipid metabolism&#x2013;novel or optimized therapeutic strategies hold significant potential for managing OA. Specifically, these approaches may mitigate joint-localized inflammation associated with OA, enhance overall joint function, and attenuate the progressive deterioration of joint tissues in the disease (<xref ref-type="bibr" rid="B61">61</xref>, <xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B77">77</xref>). Recent preclinical and clinical studies have indicated that metabolic interventions targeting the aforementioned dysregulated metabolic pathways can modulate the pro-inflammatory milieu within OA-affected joints. This modulation presents novel therapeutic avenues for OA management. Notably, these avenues extend beyond the scope of conventional analgesics and anti-inflammatory agents (<xref ref-type="bibr" rid="B78">78</xref>&#x2013;<xref ref-type="bibr" rid="B82">82</xref>).</p>
<sec id="S2.SS3.SSS1">
<label>2.3.1</label>
<title>Insulin sensitivity and OA</title>
<p>Insulin sensitivity plays a crucial role in the occurrence, development, and progression of OA (<xref ref-type="bibr" rid="B39">39</xref>). Insulin resistance, which is often closely associated with obesity, metabolic syndrome, and other metabolic comorbidities in clinical practice, has been increasingly documented to be closely linked to increased systemic and local joint inflammation as well as the accelerated degradation of articular cartilage and subchondral bone (<xref ref-type="bibr" rid="B83">83</xref>). Studies indicate that elevated levels of insulin and glucose can exacerbate inflammatory responses in chondrocytes, leading to the production of pro-inflammatory cytokines and matrix-degrading enzymes that contribute to cartilage breakdown (<xref ref-type="bibr" rid="B84">84</xref>). Furthermore, metabolic disorders characterized by insulin resistance&#x2013;commonly observed in individuals with long-term metabolic abnormalities&#x2013;can lead to dysregulated lipid metabolism. This dysregulation involves the abnormal accumulation of free fatty acids and impaired lipid clearance in joint tissues. In turn, these changes exert a synergistic effect that further aggravates the pre-existing inflammatory state within the OA joint microenvironment (<xref ref-type="bibr" rid="B85">85</xref>). Improving insulin sensitivity can be achieved via targeted lifestyle interventions&#x2013;including calorie-controlled, anti-inflammatory diets and regular moderate-intensity physical activity&#x2013;and pharmacological agents such as metformin, which serves as a first-line therapeutic for type 2 diabetes mellitus in clinical practice (<xref ref-type="bibr" rid="B86">86</xref>). Such an approach may offer a dual clinical benefit: not only effectively managing dysregulated blood glucose levels in populations with insulin resistance, but also alleviating joint inflammation, synovial hyperplasia, and the consequent pain closely associated with osteoarthritis progression (<xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B87">87</xref>). Preclinical and preliminary human studies have indicated metformin&#x2019;s potential benefits for knee osteoarthritis (OA), including anti-inflammatory effects, cartilage preservation, and pain relief; thus, this community-based randomized double-blind placebo-controlled trial (<italic>n</italic> = 107) evaluated the 6-months efficacy of oral metformin (2000 mg/d) versus placebo in symptomatic knee OA patients with overweight or obesity (<xref ref-type="bibr" rid="B86">86</xref>). At the 6-months follow-up, the metformin group demonstrated a significantly greater reduction in knee pain as measured by the 100-mm visual analog scale (VAS) compared to the placebo group (mean between-group difference: &#x2212;11.4 mm; 95% CI, &#x2212;20.1 to &#x2212;2.6; <italic>P</italic> = 0.01), with a standardized mean difference of 0.43 (95% CI, 0.02&#x2013;0.83) and predominantly mild gastrointestinal adverse events. These findings support metformin as a therapeutic option for symptomatic knee OA in this patient population, though confirmation in larger-scale clinical trials is needed due to the modest sample size (<xref ref-type="bibr" rid="B86">86</xref>). This highlights the potential of targeting insulin sensitivity as a therapeutic strategy in OA management.</p>
</sec>
<sec id="S2.SS3.SSS2">
<label>2.3.2</label>
<title>Lipid metabolism and joint inflammation</title>
<p>Lipid metabolism is intricately linked with inflammatory processes in osteoarthritis (OA). Accumulating preclinical and clinical research consistently shows that dyslipidemia contributes actively to the sustained inflammatory response observed in OA. This condition is characterized by abnormal blood lipid profiles, including elevated low-density lipoprotein cholesterol (LDL-C), reduced high-density lipoprotein cholesterol (HDL-C), and increased triglycerides (<xref ref-type="bibr" rid="B88">88</xref>). Elevated levels of certain lipids, such as triglycerides and low-density lipoprotein cholesterol (LDL-C), have been associated with increased inflammation and pain in OA patients (<xref ref-type="bibr" rid="B89">89</xref>). Moreover, specific fatty acids, including omega-3 and omega-6 fatty acids, can modulate inflammatory pathways, suggesting that dietary interventions aimed at restoring healthy lipid profiles may be beneficial in managing OA symptoms (<xref ref-type="bibr" rid="B90">90</xref>). The role of adipokines, which are secreted by adipose tissue and influence both metabolism and inflammation, further complicates this relationship. In conclusion, targeting lipid metabolism in osteoarthritis (OA) could involve specific dietary modifications and clinically available pharmacological agents. Dietary strategies include low-saturated fat diets rich in omega-3 polyunsaturated fatty acids, while pharmacological options encompass lipid-lowering drugs such as statins or PPAR&#x03B3; agonists. This multifaceted therapeutic approach addresses lipid dysregulation in OA pathogenesis, thereby reducing synovial and systemic inflammation and improving joint structural integrity and functional status in affected patients.</p>
</sec>
<sec id="S2.SS3.SSS3">
<label>2.3.3</label>
<title>Targeted intervention in metabolic pathways</title>
<p>Targeting key metabolic pathways for intervention in OA treatment is an emerging and clinically relevant therapeutic strategy. These pathways include insulin signaling, lipid metabolism, and energy homeostasis. This approach holds considerable promise for effectively altering the progressive, degenerative course of OA. Recent advancements in understanding the metabolic reprogramming that occurs in OA have identified several key pathways, including glycolysis and fatty acid oxidation, that can be manipulated for therapeutic benefit (<xref ref-type="bibr" rid="B78">78</xref>). For instance, enhancing mitochondrial function and promoting fatty acid oxidation has been shown to alleviate inflammation and improve chondrocyte function (<xref ref-type="bibr" rid="B91">91</xref>, <xref ref-type="bibr" rid="B92">92</xref>). Additionally, clinically investigated pharmacological agents target specific metabolic pathways in OA, including energy metabolism and lipid homeostasis. Examples of such agents include AMPK activators, such as metformin or resveratrol. These compounds have demonstrated considerable therapeutic potential: they reduce synovial and chondrocyte inflammation while promoting metabolic balance within OA joint microenvironments (<xref ref-type="bibr" rid="B93">93</xref>). Furthermore, the integration of lifestyle modifications, such as weight management and exercise, can synergistically enhance the effects of metabolic interventions, leading to improved outcomes for OA patients (<xref ref-type="bibr" rid="B94">94</xref>). This multifaceted approach underscores the importance of a comprehensive understanding of metabolic pathways in developing effective treatment strategies for OA.</p>
</sec>
</sec>
<sec id="S2.SS4">
<label>2.4</label>
<title>Research progress on combination therapy strategies</title>
<p>Combination therapy strategies integrating interventions with distinct mechanisms of action have gained considerable traction in recent preclinical research and clinical practice. This is particularly relevant for managing multifactorial complex diseases, such as osteoarthritis or metabolic syndrome-related inflammatory disorders. These conditions are driven by core pathological mechanisms&#x2013;intertwined inflammatory cascades and dysregulated metabolic pathways (<xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B95">95</xref>). The integration of multiple therapeutic approaches aims to enhance efficacy and minimize adverse effects, providing a more comprehensive treatment framework. This section will specifically delve into recent advancements in metabolic-inflammation targeted combination therapy, focusing on the complex interplay between dysregulated inflammatory cascades and metabolic reprogramming, the efficacy and safety outcomes of phase II/III clinical trials, and promising future research directions centered on personalized therapeutic strategies.</p>
<sec id="S2.SS4.SSS1">
<label>2.4.1</label>
<title>Synergistic targeting of inflammation and metabolism</title>
<p>Recent preclinical and clinical studies have highlighted the intricate bidirectional relationship between sustained inflammatory responses and metabolic dysregulation&#x2013;including insulin resistance, dyslipidemia, and impaired glucose metabolism&#x2013;particularly in prevalent metabolic-related conditions such as obesity and type 2 diabetes mellitus (T2DM) (<xref ref-type="bibr" rid="B95">95</xref>). Metabolic inflammation, often characterized by chronic low-grade inflammation, plays a crucial role in the pathogenesis of these diseases (<xref ref-type="bibr" rid="B96">96</xref>). For instance, adipose tissue releases various adipokines that not only regulate metabolism but also orchestrate inflammatory responses, thereby creating a feedback loop that exacerbates metabolic disorders (<xref ref-type="bibr" rid="B97">97</xref>). Targeting both key inflammatory pathways (e.g., NF-&#x03BA;B, NLRP3 inflammasome) and dysregulated metabolic processes (e.g., impaired glucose homeostasis, abnormal lipid metabolism) has emerged as a promising therapeutic strategy to mitigate the adverse clinical effects of metabolic-related diseases such as obesity, T2DM, and cardiovascular diseases (<xref ref-type="bibr" rid="B98">98</xref>&#x2013;<xref ref-type="bibr" rid="B100">100</xref>). For example, therapies that inhibit pro-inflammatory cytokines such as IL-1&#x03B2; have shown potential in reducing insulin resistance and improving overall metabolic health (<xref ref-type="bibr" rid="B101">101</xref>). Furthermore, the gut microbiota has been identified as a critical player in mediating metabolic inflammation, suggesting that interventions aimed at modulating gut health may also yield beneficial effects on metabolic and inflammatory outcomes (<xref ref-type="bibr" rid="B102">102</xref>). The synergistic targeting of inflammatory and metabolic pathways not only ameliorates clinical symptoms but also directly targets the root pathological mechanisms driving disease progression, thereby paving the way for more mechanistically informed and clinically effective therapeutic strategies in metabolic-related disorders (<xref ref-type="bibr" rid="B98">98</xref>, <xref ref-type="bibr" rid="B103">103</xref>, <xref ref-type="bibr" rid="B104">104</xref>).</p>
</sec>
<sec id="S2.SS4.SSS2">
<label>2.4.2</label>
<title>Combination therapies in clinical trials</title>
<p>The landscape of clinical trials for combination therapies has expanded significantly, reflecting the growing recognition of their potential benefits. Recent phase II/III clinical trials have explored various combinations of existing therapies, including anti-inflammatory agents [e.g., non-steroidal anti-inflammatory drugs (NSAIDs) or interleukin-1 (IL-1) inhibitors] and metabolic modulators [e.g., glucagon-like peptide-1 (GLP-1) receptor agonists or AMP-activated protein kinase (AMPK) activators], to enhance overall treatment efficacy&#x2013;particularly in improving clinical outcomes and delaying disease progression&#x2013;in metabolic-related inflammatory disorders (<xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B105">105</xref>&#x2013;<xref ref-type="bibr" rid="B107">107</xref>). For instance, studies have demonstrated that the combination of anti-inflammatory drugs with lifestyle interventions, such as dietary modifications and exercise, can lead to improved metabolic outcomes in patients with obesity and type 2 diabetes (<xref ref-type="bibr" rid="B108">108</xref>). Additionally, the integration of novel agents targeting specific inflammatory pathways alongside traditional metabolic therapies is being actively investigated. Phase II/III trials are crucial for establishing robust evidence regarding the long-term safety and clinical efficacy of these multimodal combination approaches. This is because such regimens frequently involve complex interactions between the integrated therapeutic agents, including pharmacokinetic (PK) interactions and pharmacodynamic (PD) crosstalk. Specifically, PK interactions may include altered drug absorption or clearance, while PD crosstalk can manifest as synergistic or antagonistic effects on target pathways. The results from these trials are expected to provide valuable insights into optimal dosing regimens, treatment sequences, and patient selection criteria, ultimately guiding clinical practice toward more personalized medicine strategies.</p>
</sec>
<sec id="S2.SS4.SSS3">
<label>2.4.3</label>
<title>Future research directions</title>
<p>Moving forward, future research in combination therapy strategies for metabolic-related inflammatory disorders should focus on several mechanism-oriented key areas to further maximize their potential benefits in optimizing clinical efficacy and retarding disease progression. First, there is a pressing need for more robust preclinical models that accurately reflect the complexities of human diseases, particularly those involving metabolic and inflammatory interactions. These translationally relevant preclinical models can effectively facilitate the identification of mechanistically relevant novel therapeutic targets and the systematic evaluation of rationally designed combination strategies prior to their advancement into phase I/II clinical trials (<xref ref-type="bibr" rid="B109">109</xref>). Second, the integration of advanced technologies, such as machine learning and biomarker discovery, can enhance the precision of patient stratification and treatment monitoring, allowing for more tailored therapeutic approaches (<xref ref-type="bibr" rid="B108">108</xref>). Furthermore, exploring the role of lifestyle factors, such as diet and physical activity, in conjunction with pharmacological interventions will be essential in developing holistic treatment strategies that address both metabolic and inflammatory components of disease. Finally, collaborative efforts among researchers, clinicians, and industry stakeholders will be vital in translating findings from the laboratory to clinical practice, ensuring that combination therapies are effectively integrated into standard care protocols for patients with complex diseases.</p>
</sec>
</sec>
<sec id="S2.SS5">
<label>2.5</label>
<title>Anti-inflammatory drugs in clinical trials for OA</title>
<p>Despite the well-established role of inflammation in OA pathogenesis and promising preclinical results, numerous anti-inflammatory agents&#x2013;including cytokine inhibitors, biologics, and small-molecule anti-inflammatory drugs&#x2013;have failed to demonstrate consistent efficacy in phase II/III clinical trials or failed to gain approval as DMOADs (<xref ref-type="bibr" rid="B110">110</xref>, <xref ref-type="bibr" rid="B111">111</xref>). This section systematically analyzes the core factors contributing to these trial failures, providing critical insights for future therapeutic development.</p>
<sec id="S2.SS5.SSS1">
<label>2.5.1</label>
<title>Inadequate targeting of OA heterogeneity</title>
<p>Osteoarthritis is a highly heterogeneous disease characterized by diverse endotypes driven by distinct pathophysiological mechanisms. As proposed earlier, OA can be classified into inflammation-dominant, metabolism-dominant, and mixed endotypes based on the relative contributions of inflammatory and metabolic dysregulation. However, most previous anti-inflammatory trials adopted a &#x201C;one-size-fits-all&#x201D; approach, enrolling heterogeneous patient populations without stratification by inflammatory endotype. For example, TNF-&#x03B1; inhibitors (e.g., adalimumab) that show robust efficacy in RA have failed to demonstrate significant structural benefits in OA trials (<xref ref-type="bibr" rid="B112">112</xref>). This failure is partly attributed to the fact that only a subset of OA patients (estimated 15%&#x2013;30%) exhibit high levels of synovial inflammation and TNF-&#x03B1; expression (<xref ref-type="bibr" rid="B113">113</xref>). In contrast, patients with metabolism-dominant OA (e.g., obesity-related OA) may not respond to anti-TNF therapy, as their disease progression is primarily driven by metabolic dysregulation and adipokine imbalance rather than classical pro-inflammatory cytokines (<xref ref-type="bibr" rid="B114">114</xref>, <xref ref-type="bibr" rid="B115">115</xref>). The lack of validated biomarkers to identify inflammation-dominant OA patients has led to the inclusion of non-responsive individuals in trials, diluting therapeutic effects and leading to negative outcomes.</p>
</sec>
<sec id="S2.SS5.SSS2">
<label>2.5.2</label>
<title>Overlooking the bidirectional crosstalk between inflammation and metabolism</title>
<p>Previous anti-inflammatory strategies focused solely on neutralizing pro-inflammatory mediators without addressing their interdependence with metabolic pathways. As highlighted in Section &#x201C;2.1.3 The relationship between metabolic dysregulation and OA,&#x201D; inflammation and metabolism form a vicious cycle in OA: inflammatory cytokines (such as IL-1&#x03B2;, TNF-&#x03B1;) disrupt insulin sensitivity and lipid metabolism, while metabolic dysregulation (e.g., insulin resistance, dyslipidemia) amplifies inflammatory responses. For instance, IL-1&#x03B2; inhibitors can temporarily reduce synovial inflammation but fail to reverse insulin resistance-induced chondrocyte catabolism or lipid accumulation in joint tissues (<xref ref-type="bibr" rid="B116">116</xref>). Conversely, metabolic stress (such as hyperglycemia, free fatty acid accumulation) can reactivate inflammatory pathways even after cytokine neutralization. This unidirectional targeting of inflammation, without concurrent modulation of metabolic pathways, limits long-term therapeutic efficacy and fails to halt disease progression. A striking example is the failure of IL-6 inhibitors in OA trials: while IL-6 is elevated in OA, its pro-inflammatory effects are tightly linked to insulin resistance and adipokine dysregulation (<xref ref-type="bibr" rid="B117">117</xref>, <xref ref-type="bibr" rid="B118">118</xref>). Without addressing these metabolic co-factors, anti-IL-6 therapy cannot break the inflammation-metabolism cycle, leading to transient symptom relief but no structural protection.</p>
</sec>
<sec id="S2.SS5.SSS3">
<label>2.5.3</label>
<title>Mismatches between preclinical models and human OA phenotypes</title>
<p>Most preclinical OA models [such as destabilization of the medial meniscus (DMM) in mice, collagenase-induced OA] rely on acute mechanical injury or direct inflammatory stimulation, which poorly recapitulate the chronic, low-grade inflammation and metabolic dysregulation observed in human OA. These models often exhibit robust and synchronized inflammatory responses that are highly responsive to anti-inflammatory agents, creating a false sense of efficacy. For example, in the DMM model, IL-1&#x03B2; inhibition significantly reduces cartilage degradation, but this effect does not translate to human OA, where inflammation is milder, chronic, and intertwined with metabolic disturbances. Additionally, preclinical models rarely incorporate metabolic comorbidities (e.g., obesity, T2D) that are prevalent in human OA patients. As a result, drugs effective in lean, injury-induced OA models may fail in clinical trials involving obese or diabetic OA patients, who exhibit distinct inflammatory-metabolic crosstalk. The lack of translationally relevant preclinical models that recapitulate human OA heterogeneity and metabolic comorbidities has led to the advancement of drugs with poor clinical predictability.</p>
</sec>
<sec id="S2.SS5.SSS4">
<label>2.5.4</label>
<title>Insufficient focus on structural endpoints and disease staging</title>
<p>Many early anti-inflammatory trials primarily evaluated symptomatic outcomes (such as pain, function) rather than structural endpoints (e.g., cartilage thickness, joint space narrowing), which are critical for DMOAD approval. While some agents (such as NSAIDs, short-term IL-1 receptor antagonists) provide temporary pain relief, they fail to slow or halt cartilage degradation. Moreover, OA trials often enroll patients with advanced disease (Kellgren-Lawrence grade 3-4), where significant cartilage loss and subchondral bone remodeling have already occurred. Anti-inflammatory agents may be ineffective in reversing established structural damage, as their optimal window of action is likely in early-stage OA (grade 1-2) when inflammation-metabolism crosstalk is initiating tissue damage. The enrollment of late-stage patients in trials has further contributed to negative structural outcomes.</p>
</sec>
</sec>
</sec>
<sec id="S3" sec-type="discussion">
<label>3</label>
<title>Discussion</title>
<p>The in-depth exploration of targeted therapeutic strategies that specifically address the interplay between inflammation and metabolism in the pathogenesis of OA offers promising new avenues for the clinical management of this degenerative joint disease (<xref ref-type="bibr" rid="B119">119</xref>&#x2013;<xref ref-type="bibr" rid="B122">122</xref>). As our understanding of the complex pathophysiological mechanisms underlying OA continues to evolve and deepen, it has become increasingly evident in both preclinical studies and clinical observations that the intricate intersection of inflammatory signaling cascades and intracellular metabolic pathways plays a pivotal and multifaceted role in driving OA disease progression, exacerbating joint tissue degradation, and modulating patient symptomatology (<xref ref-type="bibr" rid="B123">123</xref>&#x2013;<xref ref-type="bibr" rid="B125">125</xref>). Despite the notable advancements that have been achieved in basic and preclinical research on various diseases, significant challenges still remain in translating these promising mechanistic and experimental findings into effective, evidence-based clinical applications that can ultimately improve patient outcomes (<xref ref-type="bibr" rid="B124">124</xref>, <xref ref-type="bibr" rid="B126">126</xref>, <xref ref-type="bibr" rid="B127">127</xref>). For advancing understanding in this complex field, balancing diverse research perspectives and findings is of critical importance. Current literature emphasizes that multiple inflammatory mediators and metabolic signals interact through mechanisms that remain incompletely characterized. This underscores the need for a multidisciplinary approach, one that integrates insights from immunology, metabolism, and clinical practice. Future studies should prioritize elucidating these intricate interactions, as this may facilitate the identification of novel biomarkers and therapeutic targets. Moreover, the heterogeneity of OA represents a key challenge in optimizing clinical outcomes, as it manifests across multiple interrelated dimensions: patient demographics (encompassing age, sex, ethnic background, and lifestyle factors such as body mass index and physical activity levels), disease stages (ranging from early cartilage matrix degradation with minimal joint space narrowing to advanced synovitis, subchondral bone sclerosis, and joint deformity), and comorbidities (including type 2 diabetes mellitus, cardiovascular disease, and metabolic syndrome&#x2013;conditions that may exacerbate OA pathogenesis by modulating systemic and local inflammatory responses). This multidimensional heterogeneity directly undermines the efficacy of conventional &#x201C;one-size-fits-all&#x201D; treatment approaches, as patients with seemingly similar OA phenotypes often exhibit divergent responses to pharmacologic (e.g., non-steroidal anti-inflammatory drugs) and non-pharmacologic (e.g., physical therapy) interventions (<xref ref-type="bibr" rid="B128">128</xref>&#x2013;<xref ref-type="bibr" rid="B130">130</xref>). The failure of numerous anti-inflammatory agents in OA trials, as analyzed in Section &#x201C;2.5 Anti-inflammatory drugs in clinical trials for OA,&#x201D; further highlights the limitations of unidirectional, non-stratified therapeutic strategies. To overcome these challenges, future trials must adopt a precision medicine approach: first, validate multi-omics biomarkers (genomic, metabolomic, inflammatory) to stratify patients by endotype, second, design combination therapies that synergistically target both inflammatory and metabolic pathways to break their vicious cycle, and third, develop preclinical models that recapitulate human OA heterogeneity and metabolic comorbidities. For example, combining JAK inhibitors (anti-inflammatory) with metformin (insulin sensitizer) has shown synergistic benefits in preclinical models of obesity-related OA, and such combinations merit clinical investigation in metabolism-inflammation mixed endotype patients. Against this backdrop, there is an urgent need to advance personalized treatment strategies for OA. Future research should prioritize the stratification of OA patient populations based on integrated profiles of specific inflammatory mediators (e.g., interleukin-6, tumor necrosis factor-&#x03B1;, and matrix metalloproteinases) and metabolic markers (e.g., serum adiponectin, insulin resistance indices, and lipid metabolites). Such stratification would not only enable the identification of distinct OA endotypes&#x2013;each driven by unique pathophysiological mechanisms (e.g., inflammation-dominant vs. metabolism-dominant)&#x2013;but also facilitate the development of tailored interventions. For instance, patients characterized by a proinflammatory endotype might benefit from targeted anti-cytokine therapies, while those with a metabolic endotype could derive greater benefit from interventions addressing insulin resistance or adipokine dysregulation. By aligning treatment with the underlying biological features of each individual&#x2019;s OA, this approach has the potential to improve therapeutic response rates and reduce the risk of adverse events associated with unnecessary interventions. In conclusion, while the potential for targeted therapies that address inflammation and metabolism in OA is significant, overcoming the barriers to clinical implementation will require concerted efforts from researchers, clinicians, and policymakers. Continued investigation into the dynamic interactions between these two domains is essential for advancing treatment modalities, ultimately improving patient outcomes and quality of life for those affected by osteoarthritis.</p>
</sec>
</body>
<back>
<sec id="S4" sec-type="author-contributions">
<title>Author contributions</title>
<p>BL: Conceptualization, Data curation, Writing &#x2013; original draft. MZ: Conceptualization, Data curation, Writing &#x2013; review &#x0026; editing. LG: Resources, Writing &#x2013; review &#x0026; editing. HY: Conceptualization, Methodology, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="S6" 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="S7" 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="S8" 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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<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/57926/overview">Antonella Fioravanti</ext-link>, ISMH (International Society of Medical Hydrology and Climatology), United Kingdom</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1112372/overview">Fernando Saraiva</ext-link>, Santa Maria Local Health Unit, Portugal</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1925775/overview">Fengyuan Zhao</ext-link>, Peking University Third Hospital, China</p></fn>
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