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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1484437</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2025.1484437</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The status and hotspot analysis of research on extracellular vesicles and osteoarthritis: a bibliometric analysis</article-title>
<alt-title alt-title-type="left-running-head">Zhang et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2025.1484437">10.3389/fphar.2025.1484437</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Wen Hao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xiang</surname>
<given-names>Wen Yuan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Yi</surname>
<given-names>Lin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Fang</surname>
<given-names>Rui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2823181/overview"/>
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<aff id="aff1">
<sup>1</sup>
<institution>The Fourth Clinical College of Xinjiang Medical University</institution>, <addr-line>Urumqi</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Orthopaedic</institution>, <institution>Institute of Traditional Chinese Medicine Hospital of Xinjiang Uygur Autonomous Region</institution>, <addr-line>Urumqi</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Orthopaedic, Xinjiang Uygur Autonomous Region Institute of Traditional Chinese Medicine</institution>, <addr-line>Urumqi</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of orthopaedic</institution>, <institution>The Fourth Affiliated Hospital of Xinjiang Medical University</institution>, <addr-line>Urumqi</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/852056/overview">Lufei Wang</ext-link>, Guangxi Medical University, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1548744/overview">Jinfang Gao</ext-link>, Shanxi Medical University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1787478/overview">Shulong Wang</ext-link>, Beijing University of Chinese Medicine, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2793003/overview">Fanfan Wang</ext-link>, Anhui University of Chinese Medicine, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Rui Fang, <email>xjfrdoctor@163.com</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>31</day>
<month>03</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1484437</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>08</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>03</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zhang, Xiang, Yi and Fang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhang, Xiang, Yi and Fang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Degenerative joint disease, known as osteoarthritis (OA), is characterized by pain, swelling, and decreased mobility. The illness has a major negative influence on patients&#x2019; quality of life and is common around the world, especially among older people. Nevertheless, there are insufficient possibilities for early diagnosis and therapy. Extracellular vesicles, or EVs, control the immune response, tissue healing, and cellular communication.</p>
</sec>
<sec>
<title>Methods</title>
<p>This work offers a bibliometric representation of the areas of focus and correlations between extracellular vesicles and osteoarthritis. We searched for osteoarthritis and extracellular vesicles in publications in the Web of Science Core Collection (WoSCC) database. Bibliometrics, an R package, CiteSpace 6.1. R2, and VOSviewer 1.6.17 were used to perform bibliometric analyses of concentration fields, trends, and relevant factors.</p>
</sec>
<sec>
<title>Results</title>
<p>944 papers from 59 nations were published; the countries that contributed the most to the field were China, the USA, and Italy. Professors Laura and Enrico are the top contributors. Sichuan University, Istituto Ortopedico Galeazzi, and Shanghai Jiao Tong University are the top three universities. The International Journal of Molecular Sciences is an excellent publication. Exosome, expression, knee osteoarthritis, extracellular vesicle, mesenchymal stem cell, osteoarthritis, and inflammation are the most often occurring keywords.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>These results suggest areas of interest and focus for future research on EVs and OA. This trend suggests that the volume of literature on OA and EVs will continue to rise, with more research being published in the future. This study helps scholars understand current research hotspots in the field and may inspire future research.</p>
</sec>
</abstract>
<kwd-group>
<kwd>osteoarthritis</kwd>
<kwd>extracellular vesicles</kwd>
<kwd>bibliometric</kwd>
<kwd>hotspots</kwd>
<kwd>mesenchymal stem cell</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Integrative and Regenerative Pharmacology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Osteoarthritis OA is a degenerative disease of the bones and joints that can be recognized by inflammation of the synovium, secondary osteophytes, and loss of articular cartilage. The most common clinical manifestations include stiffness, discomfort, edema, and dysfunction (<xref ref-type="bibr" rid="B25">Hunter, 2015</xref>; <xref ref-type="bibr" rid="B51">Sharma, 2021</xref>). With an approximate global burden of 16%, the prevalence of OA has dramatically increased due to the growing number of elderly and obese people (<xref ref-type="bibr" rid="B11">Cui et al., 2020</xref>). In China, the prevalence of OA exceeds 50% in people with knee pain over the age of 65, and the prevalence of OA exceeds 80% in those over the age of 75 with knee pain (<xref ref-type="bibr" rid="B60">Tang et al., 2016</xref>).</p>
<p>OA has a long disease progression period and is strongly associated with older age, gender, overweight, residential environment, and genetic predisposition (<xref ref-type="bibr" rid="B13">Di et al., 2024</xref>; <xref ref-type="bibr" rid="B17">Georgiev and Angelov, 2019</xref>; <xref ref-type="bibr" rid="B53">Sim&#xe3;o et al., 2019</xref>). It also has a lengthy progression time. OA may result in decreased quality of life, disability, loss of joint function, and higher medical costs for patients (<xref ref-type="bibr" rid="B1">Ali et al., 2017</xref>). Patients with KOA are often assessed using the Kellgren-Lawrence (K-L) classification. Total knee arthroplasty (TKA) and unicompartmental knee arthroplasty (UKA) are frequently utilized for patients with grade III or IV K-L classification (<xref ref-type="bibr" rid="B37">Mancuso et al., 2016</xref>; <xref ref-type="bibr" rid="B82">Yao et al., 2023</xref>; <xref ref-type="bibr" rid="B96">Zhao et al., 2022</xref>).</p>
<p>However, there are issues related to high surgical costs, infections, blood embolism, implant lifespan, and longevity (<xref ref-type="bibr" rid="B18">Gililland et al., 2012</xref>; <xref ref-type="bibr" rid="B54">Sloan and Lee, 2021</xref>). Patients with early OA, such as those classified as grade I or II in the K-L grading system, are frequently treated with PRP (platelet-rich plasma), sodium hyaluronate, and non-steroidal anti-inflammatory medicines (NSAIDs) (<xref ref-type="bibr" rid="B15">Feng et al., 2023</xref>; <xref ref-type="bibr" rid="B48">S&#xe1;nchez et al., 2021</xref>; <xref ref-type="bibr" rid="B56">Su et al., 2018</xref>). However, most of these treatments only moderate its symptoms of OA and do not fundamentally reverse its pathological changes. Therefore, exploring treatment modalities for OA is a worthwhile topic for in-depth investigation.</p>
<p>Stem cell therapy has become available as an experimental and clinical treatment option for adolescent OA. However, there are risks, such as safety and potential tumour differentiation (<xref ref-type="bibr" rid="B12">Damjanov and Andrews, 2016</xref>). EVs, a type of cell-free therapy, have been extensively studied for their advantages in regeneration, immunomodulation, and inflammation modulation by researchers (<xref ref-type="bibr" rid="B35">Liu et al., 2023</xref>; <xref ref-type="bibr" rid="B36">Lv et al., 2020</xref>). EVs are membrane structures that frequently originate from cells and have a diameter that ranges from 100&#xa0;nm to 1&#xa0;&#xb5;m. Initially thought to be primarily metabolic waste products by researchers, EVs now represent a broad category of substances (<xref ref-type="bibr" rid="B64">Vandergriff et al., 2018</xref>; <xref ref-type="bibr" rid="B2">Andaloussi et al., 2013</xref>). All prokaryotic and eukaryotic cells studied to date produce and release phospholipid bilayer biovesicles known as EVs, containing abundant lipids, protein, ribonucleic acid, and other physiologically active substances. EVs are typically classified based on their vesicle diameter into apoptotic bodies, microvesicles, microparticles (<xref ref-type="bibr" rid="B4">Bheri et al., 2020</xref>; <xref ref-type="bibr" rid="B2">Andaloussi et al., 2013</xref>), and nano-vesicles (<xref ref-type="bibr" rid="B86">Zhang et al., 2021</xref>; <xref ref-type="bibr" rid="B42">Pang et al., 2023</xref>).</p>
<p>Apoptotic bodies are vesicles released by apoptotic cells containing intracellular proteins and nucleic acids (<xref ref-type="bibr" rid="B78">Xu et al., 2019</xref>). Microvesicles are small membranous vesicles secreted by microorganisms, containing proteins and lipids from the microorganism&#x2019;s surface (<xref ref-type="bibr" rid="B73">Wang X. et al., 2022</xref>). Small vesicles with membranes called microvesicles can get into cells and deliver lipids, proteins, and genetic information (<xref ref-type="bibr" rid="B76">Xie et al., 2016</xref>). EVs have shown promising results in treating conditions such as myocardial infarction (<xref ref-type="bibr" rid="B41">Nian and Fu, 2023</xref>), spinal cord injury (<xref ref-type="bibr" rid="B14">Fan et al., 2022</xref>), tumors (<xref ref-type="bibr" rid="B50">Shao et al., 2022</xref>), diabetes (<xref ref-type="bibr" rid="B59">Sun et al., 2021</xref>), and others in previous studies.</p>
<p>Bibliometrics is an essential tool for research assessment, systematically analyzing literature to provide researchers with comprehensive insights into data and trends (<xref ref-type="bibr" rid="B91">Zhang et al., 2023a</xref>; <xref ref-type="bibr" rid="B92">Zhang et al., 2023b</xref>). It provides a comprehensive overview of research trends, hotspots, and developmental behaviors within a particular field or matter. Bibliometrics helps assess the quantity and quality of publications on current topics, institutions, and regions. It also forecasts future research directions and guides research trends (<xref ref-type="bibr" rid="B99">Zhou et al., 2023</xref>; <xref ref-type="bibr" rid="B22">Hu et al., 2023</xref>). While studies on EVs and OA are present in existing bibliographic analyses, fewer studies have focused on bibliometric analyses specifically.</p>
<p>Using the WoSCC database, bibliometric tools like CiteSpace and VOSviewer, and websites like bibliometric.com, this study provides a bibliometric analysis of documents about EVs and OA. The analysis covers aspects such as country, institution, authors, journals, highly cited publications, and keywords. The study sheds light on hotspots, research trends, and upcoming advancements in EVs and OA.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Data collection</title>
<p>This study employed the Web of Science Core Collection (WoSCC), a globally indexed scientific database. To ensure data accuracy, searches were conducted, data downloaded, and data analysis performed on 1 January 2025. The search covered publications from 1 January 2000 to 31 December 2024, with the following Boolean query: <italic>TS&#x3d;(Osteoarthritis OR Osteoarthritides OR Osteoarthrosis OR Osteoarthroses) AND TS&#x3d;(Exosomes OR Extracellular Vesicles OR Secretory Vesicles OR Cell-Derived Microparticles)</italic>. The search adhered strictly to the predefined keywords, and retrieved records underwent systematic analysis. Full-record datasets, including abstracts and citations, were exported and processed as outlined in <xref ref-type="fig" rid="F1">Figure 1</xref> (data extraction workflow).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Flow diagram of the include articles.</p>
</caption>
<graphic xlink:href="fphar-16-1484437-g001.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Trend analysis of publications</title>
<p>By conducting a keyword-based search in the Web of Science Core Collection (WoSCC) database, a total of 944 research articles related to extracellular vesicles (EVs) and osteoarthritis (OA) were identified. The first study exploring the relationship between EVs and OA dates back to 2000. From 2000 to 2015, the number of publications in this field remained relatively low (as shown in <xref ref-type="fig" rid="F2">Figure 2</xref>), indicating limited academic attention during this period. Starting in 2016, the annual number of publications surpassed double digits for the first time, with 12 papers published that year.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>A Treands in total annual number of publications related to EVs and OA publications.</p>
</caption>
<graphic xlink:href="fphar-16-1484437-g002.tif"/>
</fig>
<p>Between 2016 and 2019, the number of publications continued to grow, reflecting a significant increase in research output. In 2021, the number of publications exceeded 100 (reaching 147), and by 2024, it peaked at 210. Although there was a slight decline in the number of publications in 2023 compared to 2022, the overall trend remained highly productive. As illustrated in <xref ref-type="fig" rid="F2">Figure 2</xref>, research on EVs in OA has shown a consistent upward trajectory over the past 5&#xa0;years, gradually emerging as an important and rapidly growing field. This trend is further supported by the increasing proportion of original research articles compared to review articles, highlighting the growing focus on the therapeutic, diagnostic, and mechanistic roles of EVs in OA. The substantial and valuable research output in this field underscores its potential for further exploration and development.</p>
</sec>
<sec id="s3-2">
<title>3.2 Countries/regions analysis</title>
<p>A visual analysis of the 944 publications from 2000 to 2024, focusing on the countries and regions involved, was conducted using VOSviewer software. When the threshold was set to one publication, 59 countries met this criterion; when the threshold was increased to four publications, 32 countries qualified.</p>
<p>As shown in <xref ref-type="fig" rid="F3">Figure 3A</xref>, five clusters were identified, with the largest cluster comprising China and the United States. This cluster includes China, the United States, Japan, and Australia, encompassing 683 articles, which account for 72.35% of the total publications (<xref ref-type="table" rid="T1">Table 1</xref>). China leads with 518 articles, representing 54.87% of the total, and has garnered 15,077 citations, with an average of 29.11 citations per article and an H-index of 52. The total link strength of 82 highlights China&#x2019;s prominent position in this research field and its extensive international collaborations, as illustrated in <xref ref-type="fig" rid="F3">Figures 3B, C</xref>.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>National collaborative analysis of extracellular vesicles and osteoarthritis <bold>(A)</bold> Collaboration between countries or regions based on VOSviewer; <bold>(B)</bold> The coauthorship network map of countries; <bold>(C)</bold> Annual number of publications in different countries <bold>(D)</bold> Map of the network of countries working together in time; <bold>(E)</bold> The coauthorship network map of countries.</p>
</caption>
<graphic xlink:href="fphar-16-1484437-g003.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Top 10 countries in terms of the number of published papers.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Rank</th>
<th align="left">Country</th>
<th align="left">Record</th>
<th align="left">Citations</th>
<th align="left">Total link strength</th>
<th align="left">Average citations</th>
<th align="left">H-index</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1</td>
<td align="left">China</td>
<td align="left">518</td>
<td align="left">15077</td>
<td align="left">82</td>
<td align="left">29.11</td>
<td align="left">52</td>
</tr>
<tr>
<td align="left">2</td>
<td align="left">United States of America</td>
<td align="left">124</td>
<td align="left">5,838</td>
<td align="left">112</td>
<td align="left">47.08</td>
<td align="left">30</td>
</tr>
<tr>
<td align="left">3</td>
<td align="left">Italy</td>
<td align="left">73</td>
<td align="left">1741</td>
<td align="left">53</td>
<td align="left">23.85</td>
<td align="left">23</td>
</tr>
<tr>
<td align="left">4</td>
<td align="left">United Kingdom</td>
<td align="left">52</td>
<td align="left">901</td>
<td align="left">67</td>
<td align="left">17.33</td>
<td align="left">14</td>
</tr>
<tr>
<td align="left">5</td>
<td align="left">South Korea</td>
<td align="left">41</td>
<td align="left">924</td>
<td align="left">22</td>
<td align="left">22.54</td>
<td align="left">13</td>
</tr>
<tr>
<td align="left">6</td>
<td align="left">Germany</td>
<td align="left">31</td>
<td align="left">1948</td>
<td align="left">44</td>
<td align="left">62.84</td>
<td align="left">16</td>
</tr>
<tr>
<td align="left">7</td>
<td align="left">Australia</td>
<td align="left">30</td>
<td align="left">1,268</td>
<td align="left">22</td>
<td align="left">42.27</td>
<td align="left">15</td>
</tr>
<tr>
<td align="left">8</td>
<td align="left">France</td>
<td align="left">27</td>
<td align="left">1,458</td>
<td align="left">43</td>
<td align="left">54.00</td>
<td align="left">13</td>
</tr>
<tr>
<td align="left">9</td>
<td align="left">Spain</td>
<td align="left">26</td>
<td align="left">800</td>
<td align="left">16</td>
<td align="left">30.77</td>
<td align="left">10</td>
</tr>
<tr>
<td align="left">10</td>
<td align="left">Iran</td>
<td align="left">21</td>
<td align="left">470</td>
<td align="left">7</td>
<td align="left">22.38</td>
<td align="left">9</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The United States ranks second with 124 articles, accounting for 13.14% of the total. Its H-index is 30, and its publications have received 5,838 citations, with an average of 47.08 citations per article. Although the United States has fewer publications and a lower H-index compared to China, its higher average citation count reflects the broader recognition and impact of its research. Among the top ten countries, Germany stands out with 27 articles and the highest average citation count (62.84 per article), indicating the high quality and recognition of its research in this field.</p>
<p>Since 2017, China&#x2019;s research output has grown consistently, particularly after 2020, when its annual publications accounted for more than half of the total in this field. Both China and the United States serve as key nodes connecting other countries, driving significant advancements and collaborations in the field (<xref ref-type="fig" rid="F3">Figures 3D, E</xref>). Over the past 3&#xa0;years, China has been the most active country in terms of research and publications, demonstrating strong support and keen interest from scholars in this area.</p>
</sec>
<sec id="s3-3">
<title>3.3 Authors and co-cited authors analysis</title>
<p>A visual analysis of the authors included in the publications was conducted using VOSviewer software. When the publication threshold was set to one, 5,166 authors were identified as contributing to this research field; when the threshold was increased to five, 75 authors met this criterion. As shown in <xref ref-type="fig" rid="F4">Figure 4A</xref>, the authors were grouped into distinct clusters based on their research areas and affiliated institutions.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Analysis of author collaboration on extracellular vesicles and osteoarthritis. <bold>(A)</bold> Collaboration between authors based on VOSviewer; <bold>(B)</bold> Author co-citation coupling map; <bold>(C)</bold> Annual volumeof publications by top 10 authors.</p>
</caption>
<graphic xlink:href="fphar-16-1484437-g004.tif"/>
</fig>
<p>The largest cluster comprises nine authors, primarily including Professor Laura de Girolamo and Professor Alessandra Colombini from Italy. The second-largest cluster consists of Professor Li Duan, Professor Li Xingfu, Professor Liang Yujie, Professor Wang Daping, Professor Xia Jiang, Professor Xiao Yin, Professor Xu Limei, and Professor Xu Xiao from Shenzhen University in China. Notably, these authors exhibit strong collaborative ties, making significant contributions to the advancement of the field (<xref ref-type="fig" rid="F4">Figure 4A</xref>). Based on publication counts, Professor Laura de Girolamo and Professor Enrico Ragni from IRCCS Istituto Ortopedico Galeazzi in Italy have the highest number of publications, with 23 each (<xref ref-type="table" rid="T2">Table 2</xref>). It is worth noting that the top five authors by publication volume are all from Italy, highlighting the high level of collaboration and productivity among Italian scholars in this field. Chinese scholars Professor Liang Yujie and Professor Li Duan rank sixth. Professor SP Zhang from Singapore and Professor Tao SC from China are the most co-cited authors, with 350 and 329 co-citations, respectively (<xref ref-type="table" rid="T3">Table 3</xref>). In <xref ref-type="fig" rid="F4">Figure 4B</xref>, the node size represents the co-citation count, and the line thickness indicates the co-citation strength between cited references. This visualization underscores the high recognition of authors such as Zhang SP, Tao SC, Alessandra Colombini, and Marco Vigan&#xf2;, reflecting the quality and academic impact of their work.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Top 10 authors in terms of the number of published papers.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Rank</th>
<th align="left">Author</th>
<th align="left">Country</th>
<th align="left">Record</th>
<th align="left">Citations</th>
<th align="left">Average citations</th>
<th align="left">Total link strength</th>
<th align="left">H-index</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1</td>
<td align="left">De Girolamo, Laura</td>
<td align="left">Italy</td>
<td align="left">23</td>
<td align="left">500</td>
<td align="left">21.74</td>
<td align="left">134</td>
<td align="left">13</td>
</tr>
<tr>
<td align="left">2</td>
<td align="left">Ragni, Enrico</td>
<td align="left">Italy</td>
<td align="left">23</td>
<td align="left">532</td>
<td align="left">23.13</td>
<td align="left">122</td>
<td align="left">13</td>
</tr>
<tr>
<td align="left">3</td>
<td align="left">Colombini, Alessandra</td>
<td align="left">Italy</td>
<td align="left">15</td>
<td align="left">457</td>
<td align="left">30.47</td>
<td align="left">89</td>
<td align="left">12</td>
</tr>
<tr>
<td align="left">4</td>
<td align="left">Vigano, Marco</td>
<td align="left">Italy</td>
<td align="left">14</td>
<td align="left">454</td>
<td align="left">32.43</td>
<td align="left">83</td>
<td align="left">11</td>
</tr>
<tr>
<td align="left">5</td>
<td align="left">Orfei, Carlotta Perucca</td>
<td align="left">Italy</td>
<td align="left">13</td>
<td align="left">365</td>
<td align="left">28.08</td>
<td align="left">80</td>
<td align="left">11</td>
</tr>
<tr>
<td align="left">6</td>
<td align="left">Liang, Yujie</td>
<td align="left">China</td>
<td align="left">13</td>
<td align="left">769</td>
<td align="left">59.15</td>
<td align="left">78</td>
<td align="left">9</td>
</tr>
<tr>
<td align="left">7</td>
<td align="left">Duan, Li</td>
<td align="left">China</td>
<td align="left">13</td>
<td align="left">313</td>
<td align="left">24.08</td>
<td align="left">72</td>
<td align="left">8</td>
</tr>
<tr>
<td align="left">8</td>
<td align="left">De Luca, Paola</td>
<td align="left">Italy</td>
<td align="left">12</td>
<td align="left">736</td>
<td align="left">61.33</td>
<td align="left">74</td>
<td align="left">9</td>
</tr>
<tr>
<td align="left">9</td>
<td align="left">Xu, Xiao</td>
<td align="left">China</td>
<td align="left">12</td>
<td align="left">1,567</td>
<td align="left">130.58</td>
<td align="left">59</td>
<td align="left">9</td>
</tr>
<tr>
<td align="left">10</td>
<td align="left">Toh, Wei Seong</td>
<td align="left">Singapore</td>
<td align="left">12</td>
<td align="left">765</td>
<td align="left">63.75</td>
<td align="left">74</td>
<td align="left">9</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Top 10 Co-cited authors in terms of the number of published papers.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Rank</th>
<th align="left">Author</th>
<th align="left">Country</th>
<th align="left">Citations</th>
<th align="left">Total link strength</th>
<th align="left">H-index</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1</td>
<td align="left">Zhang, Sp</td>
<td align="left">China</td>
<td align="left">350</td>
<td align="left">6,205</td>
<td align="left">6</td>
</tr>
<tr>
<td align="left">2</td>
<td align="left">Tao, Sc</td>
<td align="left">China</td>
<td align="left">329</td>
<td align="left">6,371</td>
<td align="left">2</td>
</tr>
<tr>
<td align="left">3</td>
<td align="left">Cosenza, S</td>
<td align="left">France</td>
<td align="left">260</td>
<td align="left">5,065</td>
<td align="left">3</td>
</tr>
<tr>
<td align="left">4</td>
<td align="left">Mao, Gp</td>
<td align="left">China</td>
<td align="left">247</td>
<td align="left">5,692</td>
<td align="left">4</td>
</tr>
<tr>
<td align="left">5</td>
<td align="left">Zhang, Y</td>
<td align="left">China</td>
<td align="left">229</td>
<td align="left">4,070</td>
<td align="left">10</td>
</tr>
<tr>
<td align="left">6</td>
<td align="left">Toh, Ws</td>
<td align="left">Singapore</td>
<td align="left">225</td>
<td align="left">3,595</td>
<td align="left">1</td>
</tr>
<tr>
<td align="left">7</td>
<td align="left">Th&#xe9;ry, C</td>
<td align="left">France</td>
<td align="left">217</td>
<td align="left">3,533</td>
<td align="left">1</td>
</tr>
<tr>
<td align="left">8</td>
<td align="left">Zhang, S</td>
<td align="left">China</td>
<td align="left">201</td>
<td align="left">3,829</td>
<td align="left">1</td>
</tr>
<tr>
<td align="left">9</td>
<td align="left">Wu, Jy</td>
<td align="left">China</td>
<td align="left">196</td>
<td align="left">4,035</td>
<td align="left">3</td>
</tr>
<tr>
<td align="left">10</td>
<td align="left">Liu, Yb</td>
<td align="left">China</td>
<td align="left">191</td>
<td align="left">4,145</td>
<td align="left">2</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Among the top ten authors by publication volume, Professor Xu Xiao from Shenzhen University leads with an average of 130.58 citations per article, followed by Professor Toh Wei Seong and Professor De Luca Paola, with 63.75 and 61.33 citations per article, respectively. <xref ref-type="fig" rid="F4">Figure 4C</xref> shows that most of these leading authors began their research around 2019, a year that marked a significant increase in the volume of publications in this field. This growth has continued through 2024, indicating that the field still holds substantial untapped potential.</p>
</sec>
<sec id="s3-4">
<title>3.4 Analysis of institution and research areas</title>
<p>A visual analysis of institutions involved in the included literature was conducted using VOSviewer software. When the publication threshold was set at 1, 1,214 institutions were identified as active in this research field, while increasing the threshold to five reduced the number to 97 qualifying institutions. <xref ref-type="fig" rid="F5">Figure 5A</xref> demonstrates distinct clustering patterns formed by authors from different research fields and institutions. These 76 institutions were organized into 5 clusters, with prominent representation from Chinese and American institutions in the larger clusters. Notably, institutions such as Zhejiang University, Sichuan University, Shanghai Jiao Tong University, and Shenzhen University demonstrated significant contributions (<xref ref-type="fig" rid="F5">Figures 5A, B</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Analysis of institutional cooperation between extracellular vesicles and osteoarthritis <bold>(A)</bold> Collaboration between institution based on VOSviewer; <bold>(B)</bold> Hot spot distribution map of institutional issues; <bold>(C)</bold> Three plot map of institutions-journals-countries.</p>
</caption>
<graphic xlink:href="fphar-16-1484437-g005.tif"/>
</fig>
<p>As shown in <xref ref-type="table" rid="T4">Table 4</xref>, Shanghai Jiao Tong University leads with 48 publications (5.08% of total publications), receiving 1,783 citations (37.15 citations per article). This is followed by Italy&#x2019;s Sichuan University with 27 publications (2.86% of total), receiving 574 citations (21.26 per article), and subsequently IRCCS Istituto Ortopedico with 26 publications (2.75% of total) and 582 citations (22.38 per article). Both <xref ref-type="fig" rid="F5">Figure 5C</xref> and <xref ref-type="table" rid="T4">Table 4</xref> reveal that Chinese institutions occupy 8 of the top 10 positions by publication volume. This highlights China&#x2019;s substantial engagement and contributions in this field, reflecting its growing recognition and institutional support within the research community.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Top 10 Institutional in terms of the number of published papers.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Rank</th>
<th align="left">Institutiona</th>
<th align="left">Country</th>
<th align="left">Record</th>
<th align="left">Citations</th>
<th align="left">Average citations</th>
<th align="left">Total link strength</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1</td>
<td align="left">Shanghai Jiao Tong University</td>
<td align="left">China</td>
<td align="left">48</td>
<td align="left">1783</td>
<td align="left">
<xref ref-type="bibr" rid="B9">Cosenza et al. (2017)</xref>
</td>
<td align="left">36</td>
</tr>
<tr>
<td align="left">2</td>
<td align="left">Sichuan University</td>
<td align="left">China</td>
<td align="left">27</td>
<td align="left">574</td>
<td align="left">21.26</td>
<td align="left">5</td>
</tr>
<tr>
<td align="left">3</td>
<td align="left">IRCCS Istituto Ortopedico Galeazzi</td>
<td align="left">Italy</td>
<td align="left">26</td>
<td align="left">582</td>
<td align="left">22.38</td>
<td align="left">9</td>
</tr>
<tr>
<td align="left">4</td>
<td align="left">Sun Yat-sen University</td>
<td align="left">China</td>
<td align="left">23</td>
<td align="left">1,113</td>
<td align="left">48.39</td>
<td align="left">22</td>
</tr>
<tr>
<td align="left">5</td>
<td align="left">Zhejiang University</td>
<td align="left">China</td>
<td align="left">22</td>
<td align="left">1,197</td>
<td align="left">54.41</td>
<td align="left">13</td>
</tr>
<tr>
<td align="left">6</td>
<td align="left">Chinese University of Hong Kong</td>
<td align="left">China</td>
<td align="left">21</td>
<td align="left">1759</td>
<td align="left">83.76</td>
<td align="left">42</td>
</tr>
<tr>
<td align="left">7</td>
<td align="left">National University of Singapore</td>
<td align="left">Singapore</td>
<td align="left">21</td>
<td align="left">2,322</td>
<td align="left">110.57</td>
<td align="left">14</td>
</tr>
<tr>
<td align="left">8</td>
<td align="left">China Medical University</td>
<td align="left">China</td>
<td align="left">19</td>
<td align="left">739</td>
<td align="left">38.89</td>
<td align="left">11</td>
</tr>
<tr>
<td align="left">9</td>
<td align="left">Huazhong University of Science and Technology</td>
<td align="left">China</td>
<td align="left">19</td>
<td align="left">288</td>
<td align="left">15.16</td>
<td align="left">7</td>
</tr>
<tr>
<td align="left">10</td>
<td align="left">Fudan University</td>
<td align="left">China</td>
<td align="left">18</td>
<td align="left">381</td>
<td align="left">21.17</td>
<td align="left">14</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-5">
<title>3.5 Analysis of journals and research areas</title>
<p>A visual analysis of journals in this field from 2000 to 2024 was conducted using VOSviewer software. When the publication threshold was set to one, 315 journals were identified as contributing to this research area; when the threshold was increased to five, 49 journals met this criterion. <xref ref-type="fig" rid="F6">Figures 6A, B</xref> reveal that <italic>Frontiers in Bioengineering and Biotechnology</italic>, <italic>International Journal of Molecular Sciences</italic>, <italic>Cells</italic>, and <italic>Stem Cell Research</italic> &#x26; <italic>Therapy</italic> form the largest clusters, indicating their prominent role and high activity in publishing articles within this field. As shown in <xref ref-type="table" rid="T5">Table 5</xref>, the <italic>International Journal of Molecular Sciences</italic> leads with 51 articles, accumulating 757 citations and an average of 14.84 citations per article, alongside a 2024 impact factor of 3.7. Notably, the <italic>Stem Cell Research &#x26; Therapy</italic> published 23 articles, which received 2,050 citations with an average of 89.13 citations per article, demonstrating the highest average citation rate in this research domain. <xref ref-type="fig" rid="F6">Figure 6C</xref> illustrates that publication numbers were relatively low between 2000 and 2014, but a marked increase began in 2019 and continued to rise through 2024. Most top-ten journals reached their peak in 2022 followed by a slight decline, with 2020&#x2013;2024 representing the most prolific period.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Journal collaboration analysis of extracellular vesicles and osteoarthritis. <bold>(A)</bold> Collaboration between journal based on VOSviewer. <bold>(B)</bold> Hot spot distribution map of journal issues; <bold>(C)</bold> Top 10 journals in terms of annual number of publications. <bold>(D)</bold> The dual-map overlay of journals contributed to publications. <bold>(E)</bold> Journal co-citation collaboration network mapping.</p>
</caption>
<graphic xlink:href="fphar-16-1484437-g006.tif"/>
</fig>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Top 10 Journal in terms of the number of published papers.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Rank</th>
<th align="left">Journal</th>
<th align="left">Country</th>
<th align="left">Record</th>
<th align="left">Citations</th>
<th align="left">Average citations</th>
<th align="left">H-index</th>
<th align="left">Impact factor (2024)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1</td>
<td align="left">International Journal of Molecular Sciences</td>
<td align="left">Switzerland</td>
<td align="left">51</td>
<td align="left">757</td>
<td align="left">14.84</td>
<td align="left">11</td>
<td align="left">3.7</td>
</tr>
<tr>
<td align="left">2</td>
<td align="left">Osteoarthritis and Cartilage</td>
<td align="left">United Kingdom</td>
<td align="left">28</td>
<td align="left">742</td>
<td align="left">26.50</td>
<td align="left">14</td>
<td align="left">5.1</td>
</tr>
<tr>
<td align="left">3</td>
<td align="left">Frontiers in Bioengineering and Biotechnology</td>
<td align="left">Switzerland</td>
<td align="left">27</td>
<td align="left">680</td>
<td align="left">25.19</td>
<td align="left">11</td>
<td align="left">4.5</td>
</tr>
<tr>
<td align="left">4</td>
<td align="left">Cells</td>
<td align="left">Switzerland</td>
<td align="left">24</td>
<td align="left">412</td>
<td align="left">17.17</td>
<td align="left">16</td>
<td align="left">5.3</td>
</tr>
<tr>
<td align="left">5</td>
<td align="left">Journal of Nanobiotechnology</td>
<td align="left">United Kingdom</td>
<td align="left">24</td>
<td align="left">587</td>
<td align="left">24.46</td>
<td align="left">9</td>
<td align="left">7.4</td>
</tr>
<tr>
<td align="left">6</td>
<td align="left">Stem Cell Research &#x26; Therapy</td>
<td align="left">United Kingdom</td>
<td align="left">23</td>
<td align="left">2050</td>
<td align="left">89.13</td>
<td align="left">8</td>
<td align="left">6.5</td>
</tr>
<tr>
<td align="left">7</td>
<td align="left">Arthritis Research &#x26; Therapy</td>
<td align="left">United Kingdom</td>
<td align="left">16</td>
<td align="left">708</td>
<td align="left">44.25</td>
<td align="left">9</td>
<td align="left">4.5</td>
</tr>
<tr>
<td align="left">8</td>
<td align="left">Frontiers in Cell and Developmental Biology</td>
<td align="left">Switzerland</td>
<td align="left">16</td>
<td align="left">414</td>
<td align="left">25.88</td>
<td align="left">8</td>
<td align="left">4.3</td>
</tr>
<tr>
<td align="left">9</td>
<td align="left">Cytotherapy</td>
<td align="left">United Kingdom</td>
<td align="left">14</td>
<td align="left">93</td>
<td align="left">6.64</td>
<td align="left">9</td>
<td align="left">4.4</td>
</tr>
<tr>
<td align="left">10</td>
<td align="left">Stem Cells International</td>
<td align="left">United States of America</td>
<td align="left">14</td>
<td align="left">287</td>
<td align="left">20.50</td>
<td align="left">6</td>
<td align="left">3.7</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>As shown in <xref ref-type="fig" rid="F6">Figure 6D</xref>, the most frequently co-cited journals in bibliographic coupling analysis include <italic>International Journal of Molecular Sciences</italic>, <italic>Stem Cell Research</italic> &#x26; <italic>Therapy</italic>, <italic>Biomaterials</italic>, and <italic>Osteoarthritis and Cartilage</italic>. These journals have exerted significant influence on research and publications in this field, not only in terms of publication volume and co-citation frequency but also as critical channels for advancing scholarly discourse. <xref ref-type="fig" rid="F6">Figure 6E</xref> presents a dual-map overlay of articles published between 2000 and 2024. Citation relationships are represented by colored lines on the right side (citing journals) and cited journals on the left. The analysis reveals a concentration of research in publications related to physics, materials science, chemistry, immunology, molecular biology, medicine, and clinical studies. Most cited journals originate from disciplines such as sports science, rehabilitation, materials science, chemistry, genetics, molecular biology, and physics. The interdisciplinary networks and collaborations reflect current developments and emerging areas of interest across these domains.</p>
</sec>
<sec id="s3-6">
<title>3.6 Analysis of references</title>
<p>As shown in <xref ref-type="fig" rid="F7">Figures 7A, B</xref>, the studies were collectively analyzed based on their citations. Using VOSviewer, publications with &#x2265;100 citations were analyzed, revealing the top-cited works. The leading study, <italic>&#x201c;Implant-Derived Magnesium Induces Local Neuronal CGRP Production to Promote Fracture Healing in Rats&#x201d;</italic> (<xref ref-type="bibr" rid="B95">Zhang Y. et al., 2016</xref>). Published in <italic>Nature Medicine</italic>, has accumulated 622 citations (an average of 77.75 citations per year). This groundbreaking research demonstrates that magnesium ions enhance calcitonin gene-related peptide (CGRP)-mediated osteogenic differentiation by activating the MAGT1-dependent transient receptor potential cation channel, <xref ref-type="table" rid="T6">Table 6</xref>.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>
<bold>(A, B)</bold> Collaboration between publications based on VOSviewer.</p>
</caption>
<graphic xlink:href="fphar-16-1484437-g007.tif"/>
</fig>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>Top 10 cited publications ranked in the field.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Rank</th>
<th align="left">Author</th>
<th align="left">years</th>
<th align="left">Average citations</th>
<th align="left">Total link strength</th>
<th align="left">Journal</th>
<th align="left">JCR (2022)</th>
<th align="left">Title</th>
<th align="left">Details</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1</td>
<td align="left">
<xref ref-type="bibr" rid="B95">Zhang Y. et al. (2016)</xref>
</td>
<td align="left">2016</td>
<td align="left">622</td>
<td align="left">0</td>
<td align="left">nature medicine</td>
<td align="left">Q1</td>
<td align="left">Implant-derived magnesium induces local neuronal production of CGRP to improve bone-fracture healing in rats</td>
<td align="left">Magnesium transporter protein 1 (MAGT1)-dependent and transient receptor potential cation channels are induced by elevated magnesium, suggesting that magnesium plays a role in CGRP-mediated osteogenic differentiation</td>
</tr>
<tr>
<td align="left">2</td>
<td align="left">
<xref ref-type="bibr" rid="B89">Zhang et al. (2018)</xref>
</td>
<td align="left">2018</td>
<td align="left">568</td>
<td align="left">175</td>
<td align="left">Biomaterials</td>
<td align="left">Q1</td>
<td align="left">MSC exosomes mediate cartilage repair by enhancing proliferation, attenuating apoptosis and modulating immune reactivity</td>
<td align="left">By activating the AKT and ERK signalling pathways, exosomal CD73 facilitates cell proliferation and infiltration in cartilage repair. In contrast, inhibiting these signalling pathways decreases cell proliferation and migration without impacting matrix production</td>
</tr>
<tr>
<td align="left">3</td>
<td align="left">
<xref ref-type="bibr" rid="B61">Tao et al. (2017)</xref>
</td>
<td align="left">2017</td>
<td align="left">475</td>
<td align="left">212</td>
<td align="left">Theranostics</td>
<td align="left">Q1</td>
<td align="left">Exosomes derived from miR-140-5p-overexpressing human synovial mesenchymal stem cells enhance cartilage tissue regeneration and prevent osteoarthritis of the knee in a rat model</td>
<td align="left">While SMSC-140-Exos effectively prevented OA in a rat model <italic>in vivo</italic>, it improved the migration and proliferation of ACs <italic>in vitro</italic> without affecting ECM secretion</td>
</tr>
<tr>
<td align="left">4</td>
<td align="left">
<xref ref-type="bibr" rid="B88">Zhang S. et al. (2016)</xref>
</td>
<td align="left">2016</td>
<td align="left">454</td>
<td align="left">156</td>
<td align="left">osteoarthritis and cartilage</td>
<td align="left">Q1</td>
<td align="left">exosomes derived from human embryonic mesenchymal stem cells promote osteochondral regeneration</td>
<td align="left">The first evidence of human embryonic MSC exosomes&#x2019; efficacy in cartilage regeneration and their availability as a cell-free, off-the-shelf therapeutic alternative</td>
</tr>
<tr>
<td align="left">5</td>
<td align="left">
<xref ref-type="bibr" rid="B55">Stefancin and Parker (2007)</xref>
</td>
<td align="left">2017</td>
<td align="left">404</td>
<td align="left">180</td>
<td align="left">Scientific Reports</td>
<td align="left">Q2</td>
<td align="left">Mesenchymal stem cells derived exosomes and microparticles protect cartilage and bone from degradation in osteoarthritis</td>
<td align="left">Exosomes and microvesicles/microparticles both prevent mice from developing OA <italic>in vivo</italic> and exhibit comparable chondroprotective and anti-inflammatory properties <italic>in vitro</italic>
</td>
</tr>
<tr>
<td align="left">6</td>
<td align="left">
<xref ref-type="bibr" rid="B62">Toh et al. (2017)</xref>
</td>
<td align="left">2017</td>
<td align="left">321</td>
<td align="left">123</td>
<td align="left">Seminars in Cell &#x26; Developmental Biology</td>
<td align="left">Q1</td>
<td align="left">MSC exosome as a cell-free MSC therapy for cartilage regeneration: Implications for osteoarthritis treatment</td>
<td align="left">This study offers fresh insights into the development of off-the-shelf, cell-free MSC therapeutics. It addresses the potential mechanisms of action of MSC exosomes in cartilage regeneration within the framework of their immunomodulatory and regenerative potential</td>
</tr>
<tr>
<td align="left">7</td>
<td align="left">
<xref ref-type="bibr" rid="B90">Zhang et al. (2019)</xref>
</td>
<td align="left">2019</td>
<td align="left">318</td>
<td align="left">127</td>
<td align="left">Biomaterials</td>
<td align="left">Q1</td>
<td align="left">MSC exosomes alleviate temporomandibular joint osteoarthritis by attenuating inflammation and restoring matrix homeostasis</td>
<td align="left">MSC exosomes reduce IL-1&#x3b2;-induced nitric oxide and MMP13 production and increase s-GAG synthesis that IL-1&#x3b2; blocks</td>
</tr>
<tr>
<td align="left">8</td>
<td align="left">
<xref ref-type="bibr" rid="B74">Wu et al. (2019)</xref>
</td>
<td align="left">2019</td>
<td align="left">318</td>
<td align="left">157</td>
<td align="left">Biomaterials</td>
<td align="left">Q1</td>
<td align="left">miR-100-5p-abundant exosomes derived from infrapatellar fat pad MSCs protect articular cartilage and ameliorate gait abnormalities <italic>via</italic> inhibition of mTOR in osteoarthritis</td>
<td align="left">Exosomes derived from infrapatellar fat pad (IPFP) MSCs regulate the mTOR-autophagy pathway through miR100-5p, preserving cartilage homeostasis and shielding articular cartilage from harm</td>
</tr>
<tr>
<td align="left">9</td>
<td align="left">
<xref ref-type="bibr" rid="B38">Mao et al. (2018)</xref>
</td>
<td align="left">2018</td>
<td align="left">288</td>
<td align="left">144</td>
<td align="left">Stem Cell Research &#x26; Therapy</td>
<td align="left">Q1</td>
<td align="left">Exosomes derived from miR-92a-3p-overexpressing human mesenchymal stem cells enhance chondrogenesis and suppress cartilage degradation <italic>via</italic> targeting WNT5A</td>
<td align="left">Exosomal miR-92a-3p targets WNT5A to regulate cartilage growth and homeostasis; exosomal miR-92a-3p may function as a Wnt inhibitor</td>
</tr>
<tr>
<td align="left">10</td>
<td align="left">
<xref ref-type="bibr" rid="B100">Zhu et al. (2017)</xref>
</td>
<td align="left">2017</td>
<td align="left">283</td>
<td align="left">125</td>
<td align="left">Stem Cell Research &#x26; Therapy</td>
<td align="left">Q1</td>
<td align="left">Comparison of exosomes secreted by induced pluripotent stem cell-derived mesenchymal stem cells and synovial membrane-derived mesenchymal stem cells for the treatment of osteoarthritis</td>
<td align="left">In mice OA models, injections of both iMSC-Exos and SMMSC-Exos reduce OA; however, iMSC-Exos has more therapeutic efficacy than SMMSC-Exos</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Ranking second is <italic>&#x201c;Mesenchymal Stem Cell-Derived Exosomes Mediate Cartilage Repair by Enhancing Proliferation, Inhibiting Apoptosis, and Modulating Immune Responses&#x201d;</italic> (<xref ref-type="bibr" rid="B38">Zhang et al., 2018</xref>), with 568 citations (an average of 94.67 citations per year). This study highlights the molecular mechanism by which exosomal CD73 promotes cell proliferation and infiltration during cartilage regeneration through the activation of the AKT and ERK signaling pathways. Notably, it was the first to reveal that inhibiting this pathway does not affect matrix synthesis but significantly reduces cell migration and proliferation. In third place is <italic>&#x201c;Exosomes Derived from miR-140-5p-Overexpressing Synovial Mesenchymal Stem Cells Enhance Cartilage Regeneration and Prevent Osteoarthritis in Rat Knees&#x201d;</italic> (<xref ref-type="bibr" rid="B61">Tao et al., 2017</xref>), published in <italic>Theranostics</italic>, with 475 citations (an average of 67.86 citations per year). This study systematically demonstrates that SMSC-140-Exos simultaneously promote the migration, proliferation, and extracellular matrix (ECM) secretion of articular chondrocytes (ACs) <italic>in vitro</italic>, while also validating their therapeutic potential in preventing osteoarthritis (OA) in a rat model. The academic influence of these highly cited studies underscores their significant value in advancing the field.</p>
</sec>
<sec id="s3-7">
<title>3.7 Analysis of Keywords</title>
<p>Keyword analysis is a critical tool for identifying the research focus of publications. Keywords appearing &#x2265;100 times include <italic>extracellular vesicle</italic> (302 times), <italic>mesenchymal stem cell</italic> (253 times), <italic>osteoarthritis</italic> (179 times), <italic>exosomes</italic> (165 times), <italic>expression</italic> (113 times), <italic>knee osteoarthritis</italic> (106 times), and <italic>inflammation</italic> (104 times). <xref ref-type="table" rid="T7">Table 7</xref> lists the top 20 keyword frequencies related to extracellular vesicles (EVs) in arthritis. In <xref ref-type="fig" rid="F8">Figure 8A</xref>, larger squares represent higher keyword frequencies, while smaller squares indicate lower frequencies.</p>
<table-wrap id="T7" position="float">
<label>TABLE 7</label>
<caption>
<p>Top 10 keywords in the list by frequency.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Rank</th>
<th align="left">Keywords</th>
<th align="left">Frequency</th>
<th align="left">Centrality</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1</td>
<td align="left">extracellular vesicle</td>
<td align="left">302</td>
<td align="left">0.03</td>
</tr>
<tr>
<td align="left">2</td>
<td align="left">mesenchymal stem cell</td>
<td align="left">253</td>
<td align="left">0.02</td>
</tr>
<tr>
<td align="left">3</td>
<td align="left">osteoarthriti</td>
<td align="left">179</td>
<td align="left">0.04</td>
</tr>
<tr>
<td align="left">4</td>
<td align="left">exosm</td>
<td align="left">165</td>
<td align="left">0.03</td>
</tr>
<tr>
<td align="left">5</td>
<td align="left">expression</td>
<td align="left">113</td>
<td align="left">0.12</td>
</tr>
<tr>
<td align="left">6</td>
<td align="left">knee osteoarthriti</td>
<td align="left">106</td>
<td align="left">0.03</td>
</tr>
<tr>
<td align="left">7</td>
<td align="left">inflammation</td>
<td align="left">104</td>
<td align="left">0.04</td>
</tr>
<tr>
<td align="left">8</td>
<td align="left">knee</td>
<td align="left">95</td>
<td align="left">0.04</td>
</tr>
<tr>
<td align="left">9</td>
<td align="left">proliferation</td>
<td align="left">86</td>
<td align="left">0.03</td>
</tr>
<tr>
<td align="left">10</td>
<td align="left">cartilage</td>
<td align="left">85</td>
<td align="left">0.09</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Keyword analysis of extracellular vesicles and osteoarthritis <bold>(A)</bold> Keyword Frequency Map <bold>(B)</bold> Keyword trend <bold>(C)</bold> and <bold>(D)</bold> Keywords clustering influencing factors analysis map and keyword clustering.</p>
</caption>
<graphic xlink:href="fphar-16-1484437-g008.tif"/>
</fig>
<p>These keywords were organized into 10 clusters: &#x23;0 mesenchymal stem cells, &#x23;1 extracellular vesicles, &#x23;2 articular cartilage, &#x23;3 drug delivery, &#x23;4 umbilical cord, &#x23;5 osteoarthritis, &#x23;6 rheumatoid arthritis, &#x23;7 collagen-induced arthritis, &#x23;8 functional polymorphism, and &#x23;9 matrix metalloproteinase. These clusters encapsulate the research hotspots and focal areas of EVs in arthritis, as illustrated in <xref ref-type="fig" rid="F8">Figures 8B&#x2013;D</xref>. The thematic grouping of keywords further enhances the clarity and organization of research priorities in the study of EVs in osteoarthritis (OA).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<sec id="s4-1">
<title>4.1 General information</title>
<p>From 2000 to 2024, the period from 2016 to 2024 marked a phase of rapid development in this field, with a significant increase in the number of publications. During this dynamic decade, researchers from China and the United States made substantial contributions to the field. China ranked first with 518 publications, 15,077 citations, an average of 29.11 citations per publication, and an H-index of 52. The United States ranked second with 124 publications, 5,838 citations, an average of 47.08 citations per publication, and an H-index of 30. Italy ranked third with 73 publications, an H-index of 23, and 1,741 citations (averaging 23.85 citations per publication). These countries demonstrated strong collaborative relationships and collectively advanced the development of this research field.</p>
<p>Professors De Girolamo, Laura and Ragni, Enrico each published 23 articles, ranking first with H-indices of 13 and average citation rates of 21.74 and 37.15 per article, respectively. Between 2020 and 2022, the top ten authors exhibited significant publication output, averaging at least three articles per year (<xref ref-type="fig" rid="F4">Figure 4</xref>). In the institutional analysis, Shanghai Jiao Tong University led with 48 publications, an average of 37.5 citations per article, and a total link strength of 36. Sichuan University ranked second with 27 publications, an average of 21.26 citations per article, and a total link strength of 5. IRCCS Istituto Ortopedico Galeazzi ranked third, with 26 publications, an average of 22.38 citations per article, and a total link strength of 9.</p>
<p>These institutions, including Zhejiang University and Shenzhen University (SZU), exhibit close collaboration and have driven significant advancements in the field (<xref ref-type="fig" rid="F5">Figure 5</xref>). In the journal analysis, <italic>Frontiers in Bioengineering and Biotechnology</italic>, <italic>International Journal of Molecular Sciences</italic>, <italic>Cells</italic>, and <italic>Stem Cell Research &#x26; Therapy</italic> rank as the top four journals, each publishing over 20 articles, reflecting their strong engagement and high publication frequency in this domain. A distinct clustering phenomenon is observed among these journals, with the largest cluster highlighted in red in the visualization.</p>
</sec>
<sec id="s4-2">
<title>4.2 Hotspots and trends</title>
<p>Cluster analysis in keyword analysis effectively summarizes research hotspots and trends. Key terms such as &#x23;0 mesenchymal stem cells and &#x23;1 extracellular vesicles are pivotal in extracellular vesicle (EV) research. These EVs are categorized into non-plant-derived and plant-derived EVs based on their origins, reflecting the diversity and scope of research in this field (<xref ref-type="bibr" rid="B36">Lv et al., 2020</xref>; <xref ref-type="bibr" rid="B46">Qiu et al., 2023</xref>).</p>
</sec>
<sec id="s4-3">
<title>4.3 Relationship between non-plant-derived EVs and OA</title>
<p>Non-plant-derived EVs and plant-derived EVs, have garnered significant research interest for their therapeutic potential in OA. Bone marrow mesenchymal stem cell (BMSC)-derived EVs are among the earliest and most extensively studied strategies, demonstrating efficacy in chondrocyte proliferation, anabolism, and apoptosis inhibition, <xref ref-type="fig" rid="F9">Figure 9</xref> (<xref ref-type="bibr" rid="B44">Pittenger et al., 1999</xref>).</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Evs from different sources play different roles in the treatment of OA (<xref ref-type="bibr" rid="B6">Chen et al., 2022</xref>; <xref ref-type="bibr" rid="B83">Y&#x131;ld&#x131;r&#x131;m et al., 2024</xref>; <xref ref-type="bibr" rid="B49">Sarasati et al., 2023</xref>; <xref ref-type="bibr" rid="B31">Liu et al., 2024</xref>; <xref ref-type="bibr" rid="B72">Wang et al., 2021</xref>; <xref ref-type="bibr" rid="B97">Zhou et al., 2022</xref>; <xref ref-type="bibr" rid="B48">S&#xe1;nchez et al., 2021</xref>; <xref ref-type="bibr" rid="B40">Meng et al., 2023</xref>; <xref ref-type="bibr" rid="B27">Kim et al., 2016</xref>; <xref ref-type="bibr" rid="B19">Gupta et al., 2021</xref>).</p>
</caption>
<graphic xlink:href="fphar-16-1484437-g009.tif"/>
</fig>
<p>Exosomes from BMSCs treated with decellularized extracellular matrix (dECM-BMSC-Exos) enhance cartilage repair <italic>via</italic> miR-3473b-mediated PTEN/AKT pathway activation (<xref ref-type="bibr" rid="B85">Zhang B. et al., 2023</xref>). In monosodium iodoacetate (MIA)-induced OA models, BMSC-derived exosomes upregulate collagen II and MMP13 expression (<xref ref-type="bibr" rid="B21">He et al., 2020</xref>), while TUC339-enriched exosomes promote macrophage polarization to the anti-inflammatory M2 phenotype, mitigating joint injury (<xref ref-type="bibr" rid="B52">Shen et al., 2023</xref>). BMSCs further regulate immunomodulation through autotaxin-YAP pathway modulation (<xref ref-type="bibr" rid="B72">Wang et al., 2021</xref>). Dental pulp stem cells (DPSCs), sharing surface marker similarities with BMSCs but exhibiting superior proliferative capacity, enhance chondrocyte repair <italic>via</italic> intra-articular exosome delivery. These exosomes suppress TRPV4-mediated osteoclast activity, reducing subchondral bone remodeling and cartilage degradation in murine OA models (<xref ref-type="bibr" rid="B16">Fu et al., 2023</xref>). Adipose-derived stem cells (ADSCs), prized for their abundance and accessibility, secrete exosomes (ADSC-Exos) that promote cartilage regeneration and reduce inflammation. Elastogen (TE) pretreatment amplifies ADSC-Exo secretion and upregulates miR-451-5p, enhancing chondrocyte matrix synthesis and repair in anterior cruciate ligament transection (ACLT) models (<xref ref-type="bibr" rid="B40">Meng et al., 2023</xref>).</p>
<p>Clinical translation efforts include chemically defined medium (CDM)-cultured small EVs (CDM4-sEVs), which exhibit high purity and stimulate chondrocyte proliferation, migration, and differentiation. CDM4-sEVs inhibit osteochondral degeneration <italic>in vivo</italic>, underscoring their therapeutic potential (<xref ref-type="bibr" rid="B20">Hanai et al., 2023</xref>). Synovial MSC-derived exosomes (SMSC-Exos) drive chondrocyte migration and collagen synthesis <italic>via</italic> Wnt5a/5b-YAP signaling, albeit at the expense of SOX9-dependent extracellular matrix production (<xref ref-type="bibr" rid="B43">Park et al., 2015</xref>; <xref ref-type="bibr" rid="B32">Liu and Lefebvre, 2015</xref>). SMSC-Exos also mitigate IL-1&#x3b2;-induced cartilage degradation through NRP1 targeting and miR-485-3p-mediated PI3K/Akt suppression (<xref ref-type="bibr" rid="B47">Qiu et al., 2024</xref>). Umbilical cord-derived MSC exosomes (hucMSC-EVs), aligned with keyword cluster &#x23;4 (&#x201c;umbilical cord&#x201d;), demonstrate chondroprotective effects by enhancing COL2A1 and aggrecan expression while suppressing ADAMTS5 and MMP13. METTL3-mediated NLRP3 m6A methylation reduction underlies their anti-inflammatory action (<xref ref-type="bibr" rid="B97">Zhou et al., 2022</xref>; <xref ref-type="bibr" rid="B26">Jin et al., 2021</xref>).</p>
<p>Exosomes that overexpress miR-92a-3p in MSCs promote matrix gene expression and cartilage growth. On the other hand, exosomes that block miR-92a-3p decrease chondrogenic differentiation and upregulate WNT5A expression, which reduces the formation of cartilage matrix. WNT5A is the direct target of miR-92a-3p, which inhibits its activity. Exosomes overexpressing miR-92a-3p could potentially serve as inhibitors of the Wnt signalling pathway and may be developed as therapeutic agents to modify the disease process in OA (<xref ref-type="bibr" rid="B38">Mao et al., 2018</xref>). However, more investigation is required to clarify the underlying mechanisms in more depth. Perinatal stem cells, including embryonic MSCs (EMSCs) and amniotic membrane MSCs (hAMSCs), balance extracellular matrix synthesis and degradation. EMSC-EVs preserve chondrocyte phenotype under inflammatory conditions (<xref ref-type="bibr" rid="B71">Wang et al., 2017</xref>), while hAMSCs outperform ADSCs in modulating synovial macrophage polarization and glycosaminoglycan preservation (<xref ref-type="bibr" rid="B63">Topoluk et al., 2018</xref>).</p>
<p>Amniotic fluid stem cell exosomes (AFSC-Exos) deliver immunomodulatory factors (e.g., TGF, HGF) to attenuate inflammation and fibrosis (<xref ref-type="bibr" rid="B3">Beretti et al., 2018</xref>). hUSC-140-Exos further promote cartilage regeneration <italic>via</italic> VEGFA signaling (<xref ref-type="bibr" rid="B34">Liu et al., 2022</xref>). Collectively, these findings highlight MSC-EVs as versatile tools for OA intervention, though deeper mechanistic insights are needed to optimize clinical applications (<xref ref-type="fig" rid="F9">Figures 9</xref>, <xref ref-type="fig" rid="F10">10</xref>) (<xref ref-type="bibr" rid="B8">Cheng et al., 2023</xref>; <xref ref-type="bibr" rid="B84">Yu et al., 2022</xref>; <xref ref-type="bibr" rid="B28">Kim et al., 2020</xref>; <xref ref-type="bibr" rid="B70">Wang S. et al., 2022</xref>).</p>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>Role of different sources of evs and carrying miRNAs in diagnosis and treatment in OA (<xref ref-type="bibr" rid="B19">Gupta et al., 2021</xref>; <xref ref-type="bibr" rid="B48">S&#xe1;nchez et al., 2021</xref>; <xref ref-type="bibr" rid="B66">Wan et al., 2023</xref>; <xref ref-type="bibr" rid="B72">Wang et al., 2021</xref>; <xref ref-type="bibr" rid="B77">Xu et al., 2023</xref>; <xref ref-type="bibr" rid="B87">Zhang et al., 2020</xref>; <xref ref-type="bibr" rid="B97">Zhou et al., 2022</xref>; <xref ref-type="bibr" rid="B98">Zhou et al., 2020</xref>; <xref ref-type="bibr" rid="B101">Zou et al., 2023</xref>).</p>
</caption>
<graphic xlink:href="fphar-16-1484437-g010.tif"/>
</fig>
</sec>
<sec id="s4-4">
<title>4.4 Relationship between plant-derived EVs and OA</title>
<p>Plant extracellular vesicles (PELNs), secreted by most plant cells, share compositional similarities with animal-derived exosomes but exhibit distinct molecular profiles influenced by plant species, environmental factors, and isolation methods. These vesicles carry diverse bioactive molecules, including proteins, lipids, and nucleic acids, with demonstrated therapeutic potential in OA. Notably, <ext-link ext-link-type="uri" xlink:href="https://pubmed.ncbi.nlm.nih.gov/?size=200&#x26;term=Y%C4%B1ld%C4%B1r%C4%B1m+M&#x26;cauthor_id=37103740">Y&#x131;ld&#x131;r&#x131;m</ext-link> et al. (<xref ref-type="bibr" rid="B83">Y&#x131;ld&#x131;r&#x131;m et al., 2024</xref>) reported that tomato-derived EVs significantly upregulated chondrogenic markers&#x2014;aggrecan, SRY-box transcription factor 9 (SOX9), and cartilage oligomeric matrix protein (COMP)&#x2014;in human chondrocytes, thereby enhancing cartilage regeneration. Mechanistically, T-EVs facilitated growth factor delivery to chondrocytes, creating a pro-regenerative microenvironment that supports neo-cartilage formation and maturation.</p>
<p>Complementing these findings, <xref ref-type="bibr" rid="B6">Chen et al. (2022)</xref> engineered spinach-derived EVs functionalized with chondrocyte membrane fragments. Upon light exposure, these hybrid vesicles elevated intracellular adenosine triphosphate (ATP) and reduced nicotinamide adenine dinucleotide phosphate (NADPH) levels in degenerated chondrocytes. This metabolic reprogramming enhanced anabolic activity, restored cartilage homeostasis, and attenuated OA progression in a murine model. Together, these studies highlight the species-specific bioactivity of plant-derived EVs and their potential as tunable nanotherapeutics for OA intervention (<xref ref-type="fig" rid="F9">Figure 9</xref>) (<xref ref-type="bibr" rid="B6">Chen et al., 2022</xref>; <xref ref-type="bibr" rid="B83">Y&#x131;ld&#x131;r&#x131;m et al., 2024</xref>; <xref ref-type="bibr" rid="B49">Sarasati et al., 2023</xref>; <xref ref-type="bibr" rid="B31">Liu et al., 2024</xref>; <xref ref-type="bibr" rid="B72">Wang et al., 2021</xref>; <xref ref-type="bibr" rid="B97">Zhou et al., 2022</xref>; <xref ref-type="bibr" rid="B48">S&#xe1;nchez et al., 2021</xref>; <xref ref-type="bibr" rid="B40">Meng et al., 2023</xref>; <xref ref-type="bibr" rid="B27">Kim et al., 2016</xref>; <xref ref-type="bibr" rid="B19">Gupta et al., 2021</xref>).</p>
</sec>
<sec id="s4-5">
<title>4.5 Relationship between EVs of body fluid origin and OA</title>
<p>Exosomes generated by somatic sources, like platelet-rich plasma-derived exosomes (PRP-Exos) (<xref ref-type="bibr" rid="B94">Zhang et al., 2022</xref>), are also very important. PRP-Exos decreases apoptosis, encourages chondrocyte migration and proliferation, and blocks the release of the inflammatory cytokine TNF-&#x3b1;. They mitigate the advancement of OA by reversing the effects of IL-1&#x3b2; on essential protein expression in the Wnt/&#x3b2;-catenin signalling pathway (<xref ref-type="bibr" rid="B33">Liu et al., 2019</xref>). It found that SDF-1 in PRP-Exo mediates the migration of bone marrow mesenchymal stem cells (mBMSCs) to the injury site <italic>via</italic> the CXCR4 receptor. Concurrently, TGF-&#x3b2;1 activates the Smad2/3 pathway, promoting their differentiation into chondrocytes by inducing Smad2/3 phosphorylation, upregulating the expression of SOX9 and COL II, and driving chondrogenic differentiation of mBMSCs. PRP-Exo inhibits IL-1&#x3b2;-induced phosphorylation of p65 (a subunit of NF-&#x3ba;B) and STAT3, thereby reducing the expression of MMP13 and COL X, which suppresses cartilage matrix degradation and chondrocyte hypertrophy. Additionally, PDGF-BB and TGF-&#x3b2;1 block the pro-inflammatory cytokine cascade by inhibiting IKK&#x3b1; and STAT signaling pathways (<xref ref-type="fig" rid="F9">Figures 9</xref>, <xref ref-type="fig" rid="F10">10</xref>) (<xref ref-type="bibr" rid="B94">Zhang et al., 2022</xref>).</p>
</sec>
<sec id="s4-6">
<title>4.6 Relationship with OA after chemical modification of EVs</title>
<p>Another approach to enhance the functionality of non-plant-derived EVs involves modifying donor cells to improve their biochemical properties, thereby increasing their clinical applicability. One method includes genetic modification, where stem cells or EVs are engineered to overexpress specific miRNAs, circRNAs, or lncRNAs to achieve targeted effects (<xref ref-type="bibr" rid="B24">Huang et al., 2022</xref>; <xref ref-type="bibr" rid="B68">Wang et al., 2023</xref>). Likewise, lncRNA MEG-3-modified BMSCs-EVs slow down the advancement of OA by reducing IL-1&#x3b2;-induced chondrocyte senescence and apoptosis (<xref ref-type="bibr" rid="B26">Jin et al., 2021</xref>). Furthermore, it was discovered that TNF-&#x3b1;-induced exosomes improved HUVEC cell motility, invasion, and angiogenesis <italic>via</italic> the miR-200a-3p/KLF6/VEGFA axis (<xref ref-type="bibr" rid="B93">Zhang et al., 2023c</xref>). Another method to modify donor cells involves cell co-culture. Curcumin, the primary biological component of turmeric, has been utilized to treat MSCs, resulting in exosomes that reduce DNA methylation in the promoter regions of miR-143 and miR-124, thereby increasing their expression. Additionally, binding sites for miR-143 and miR-124 are found in the 3&#x2032;untranslated region (3&#x2032;UTR) of NF-kB and ROCK1, respectively, indicating that these miRNAs can directly target NF-kB and ROCK1. As a result, exosomal therapy considerably slows the advancement of OA 70 by restoring normal NF-kB and ROCK1 expression (<xref ref-type="bibr" rid="B45">Qiu et al., 2020</xref>). Controlling the concentration of oxygen is another strategy. It has been demonstrated that hypoxia preserves the characteristics of stem cell development, impacting their phenotypic and function and boosting the therapeutic potential of stem cells and the EVs they produce. EVs produced from umbilical cord stem cells (USC-EVs) under hypoxic settings were found to be far more effective in promoting chondrocyte migration and proliferation than EVs produced under normoxic conditions. The enhancement was made possible by using USC-EVs to transfer miR-26a-5p to chondrocytes (<xref ref-type="bibr" rid="B67">Wan et al., 2022</xref>), <xref ref-type="fig" rid="F10">Figure 10</xref> (<xref ref-type="bibr" rid="B19">Gupta et al., 2021</xref>; <xref ref-type="bibr" rid="B48">S&#xe1;nchez et al., 2021</xref>; <xref ref-type="bibr" rid="B66">Wan et al., 2023</xref>; <xref ref-type="bibr" rid="B72">Wang et al., 2021</xref>; <xref ref-type="bibr" rid="B77">Xu et al., 2023</xref>; <xref ref-type="bibr" rid="B87">Zhang et al., 2020</xref>; <xref ref-type="bibr" rid="B97">Zhou et al., 2022</xref>; <xref ref-type="bibr" rid="B98">Zhou et al., 2020</xref>; <xref ref-type="bibr" rid="B101">Zou et al., 2023</xref>).</p>
</sec>
<sec id="s4-7">
<title>4.7 Relationship with OA after physical modification of EVs</title>
<p>Physical interventions to engineer EVs offer innovative strategies for OA treatment, encompassing 3D culture systems, biomaterial encapsulation, and targeted drug delivery. Compared to conventional 2D methods, 3D culture techniques&#x2014;such as spinner flasks, hanging droplets, and pellet systems&#x2014;significantly enhance MSC exocytosis efficiency, amplifying paracrine therapeutic effects (<xref ref-type="bibr" rid="B29">Lee and Lee, 2022</xref>). <xref ref-type="bibr" rid="B7">Chen et al. (2019)</xref> developed a 3D-printed scaffold integrating cartilage extracellular matrix (ECM), gelatin methacrylate (GelMA), and exosomes, which facilitated cartilage regeneration by promoting chondrocyte migration and polarizing synovial macrophages toward the anti-inflammatory M2 phenotype.</p>
<p>Hydrogel-based EV delivery outperforms other biomaterials, enhancing bone marrow MSC (BMSC) migration, proliferation, and differentiation to accelerate cartilage repair and ECM remodeling. MSC-derived nano-vacuoles (MSC-NVs) encapsulated in hydrogels exhibit superior mechanical stability and biocompatibility. In murine OA models, hydrogel-loaded MSC-NVs improved matrix synthesis, reduced catabolic factor secretion, and attenuated disease severity, while GelMA-NVs suppressed inflammation <italic>via</italic> M2 macrophage polarization (<xref ref-type="bibr" rid="B86">Zhang et al., 2021</xref>; <xref ref-type="bibr" rid="B42">Pang et al., 2023</xref>). <xref ref-type="bibr" rid="B66">Wan et al. (2023)</xref> advanced this approach with a photocrosslinkable spherical GelMA hydrogel encapsulating cartilage-targeting exosomes (W-Exo@GelMA), which enhanced joint retention and chondrocyte specificity, effectively delaying OA progression through dual anabolic promotion and catabolic inhibition.</p>
<p>Integrating hydrogels with 3D-printed scaffolds provides tailored mechanical support and joint-mimetic microenvironments, optimizing EV release kinetics and joint homeostasis (<xref ref-type="bibr" rid="B65">Vijayavenkataraman et al., 2018</xref>; <xref ref-type="bibr" rid="B58">Sun et al., 2023</xref>). <xref ref-type="bibr" rid="B30">Li et al. (2023)</xref> engineered a biomimetic double-network hydrogel scaffold incorporating adipose MSC-derived exosomes and decellularized ECM, which enhanced BMSC adhesion, differentiation, and osteochondral regeneration in rat OA models. Rat BMSCs displayed improved adhesion, spreading, migration, proliferation, and chondrogenic and osteogenic differentiation <italic>in vitro</italic> with the help of this scaffold. It successfully promoted cartilage and subchondral bone tissue regeneration in a rat model of OA. EVs serve as versatile carriers for diverse therapeutics, including antisense oligonucleotides (<xref ref-type="bibr" rid="B80">Yang et al., 2021</xref>), mRNA (<xref ref-type="bibr" rid="B5">Bu et al., 2021</xref>), siRNA (<xref ref-type="bibr" rid="B23">Huang et al., 2021</xref>), protein/peptide drugs (<xref ref-type="bibr" rid="B81">Yang et al., 2018</xref>; <xref ref-type="bibr" rid="B75">Wu et al., 2023</xref>), and curcumin (<xref ref-type="bibr" rid="B57">Sun et al., 2010</xref>). For instance, <xref ref-type="bibr" rid="B79">Xu et al. (2021)</xref> engineered exosomes to deliver kartogenin (KGN), boosting intracellular concentrations and chondrogenesis in synovial fluid MSCs, demonstrating efficacy <italic>in vitro</italic> and <italic>in vivo</italic>. These advancements underscore the potential of physically engineered EVs to revolutionize OA therapy through precision targeting, controlled release, and enhanced regenerative outcomes.</p>
</sec>
<sec id="s4-8">
<title>4.8 Relationship with arthritis after physical modification of EVs</title>
<p>EVs, particularly exosomes, have emerged as pivotal players in the pathophysiology, diagnosis, and treatment of rheumatoid arthritis (RA) and OA. Both conditions share common features, including cartilage degeneration, synovial inflammation, structural bone alterations, pain, and functional impairment. EVs, with their stability in circulation and minimally invasive sampling, offer a promising avenue for early disease detection and intervention, potentially improving patient outcomes (<xref ref-type="bibr" rid="B35">Liu et al., 2023</xref>).</p>
<p>In OA, reduced expression of miR-193b-3p in plasma exosomes correlates with inflammatory activity and joint degradation, positioning it as a potential biomarker for early disease detection and monitoring (<xref ref-type="bibr" rid="B39">Meng et al., 2018</xref>; <xref ref-type="bibr" rid="B69">Wang et al., 2012</xref>). Exosomal miRNAs, such as miR-let-7b, modulate inflammatory responses by targeting Toll-like receptors (TLRs) and promoting M1 macrophage polarization, leading to the secretion of pro-inflammatory cytokines like IL-1, IL-6, and TNF (<xref ref-type="bibr" rid="B27">Kim et al., 2016</xref>).</p>
<p>Conversely, MSC-derived EVs exhibit immunomodulatory effects, suppressing T cell proliferation, enhancing regulatory T cells (Tregs), and ameliorating inflammation in arthritic models (<xref ref-type="bibr" rid="B10">Cosenza et al., 2018</xref>). Despite their therapeutic potential, the precise mechanisms by which EVs influence OA progression&#x2014;through inflammatory modulation, cellular senescence, and metabolic regulation&#x2014;remain incompletely understood. The complexity of OA pathogenesis necessitates a multifaceted diagnostic and therapeutic approach, as reliance on single biomarkers is insufficient for comprehensive disease management. EVs represent a promising cell-free therapeutic platform, with significant potential for drug delivery and targeted therapy. However, critical questions regarding exosome sourcing, quality, dosage, and functional mechanisms require further exploration. Future research should focus on optimizing EV-based strategies to fully harness their diagnostic and therapeutic potential, ultimately advancing the management of RA and OA.</p>
</sec>
<sec id="s4-9">
<title>4.9 Advantages and limitations of research</title>
<p>In contrast to traditional literature reviews, bibliometric visualisation and analysis using software such as CiteSpace, VOSviewer, and the R package bibliometrics can effectively demonstrate the research hotspots and critical areas in the field, giving scholars valuable references and guiding future research directions more comprehensively.</p>
<p>However, this study has several limitations that should be acknowledged. Firstly, it relies solely on the Web of Science (WOS) core database, which may introduce biases and errors in understanding the overall trends and scope of publications. Secondly, due to the multidisciplinary nature of the field involving various research aspects, some publications related to EVs in the diagnosis and treatment of OA may not be fully captured, potentially limiting the scope of this study.</p>
<p>Furthermore, the study did not provide a complete assessment of the research focus and quality of each retrieved article. However, it provides novel possibilities for this field&#x2019;s future study directions. It is advised that various databases should be integrated to progress in the future, and different analysis techniques should be used to investigate more extensive and in-depth study avenues. This approach could enhance our understanding of EVs&#x2019; role in OA diagnosis and treatment and contribute to the progression of research in this critical area.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>This comprehensive bibliometric analysis evaluated global research trends on EVs in OA from 2000 onward, revealing sustained growth in annual publication rates. China emerged as the leading contributor, followed by the United States. Prof. Laura Girolamo ranked as the most prolific and cited author. The study systematically investigated EVs&#x2019; dual role in OA pathogenesis and therapy. Mechanistic insights highlighted their potential as early diagnostic biomarkers <italic>via</italic> high-expression factors and as pathogenic drivers <italic>versus</italic> regenerative agents influencing chondrocyte integrity. Furthermore, EVs demonstrated therapeutic modulation through cargo delivery and synergistic integration with biomaterials or genetic engineering, offering avenues to attenuate OA progression. This synthesis underscores EVs&#x2019; multifaceted impact on OA diagnostics and targeted intervention strategies.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s6">
<title>Author contributions</title>
<p>WZ: Conceptualization, Data curation, Formal Analysis, Writing&#x2013;original draft, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing&#x2013;review and editing. WX: Data curation, Formal Analysis, Validation, Visualization, Writing&#x2013;original draft, Writing&#x2013;review and editing. LY: Data curation, Methodology, Supervision, Writing&#x2013;original draft, Writing&#x2013;review and editing. RF: Conceptualization, Data curation, Formal Analysis, Writing&#x2013;original draft.</p>
</sec>
<sec sec-type="funding-information" id="s7">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. Funding was provided by the National Natural Science Foundation of China (number: 82360934;82405423) and; Natural Science Foundation of Xinjiang Uygur Autonomous Region (2022D01C170, 2022D01C171, 2023D01C145); Xinjiang Uygur Autonomous Region Science and Technology Innovation Leading Talent Programme (2022TSYCLJ0007, 2023TSYCQNTJ0050); Xinjiang Uygur Autonomous Region Key research and development task special projects (2021B03006).</p>
</sec>
<sec sec-type="COI-statement" id="s8">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s9">
<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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