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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pediatr.</journal-id>
<journal-title>Frontiers in Pediatrics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pediatr.</abbrev-journal-title>
<issn pub-type="epub">2296-2360</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fped.2025.1611345</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pediatrics</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Paradigm shifts in neonatal hypoxic-ischemic encephalopathy therapeutics: a four-decade bibliometric exploration of emerging therapeutic dimensions (1985&#x2013;2024)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Shu</surname><given-names>Juntao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Liu</surname><given-names>Ling</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Yuan</surname><given-names>Mei</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2896832/overview"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Ma</surname><given-names>Mingbiao</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1287300/overview" /><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Yang</surname><given-names>Jingjing</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x2021;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2905326/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><institution>Department of Neonatology, The Children&#x2019;s Hospital of Kunming City, The Affiliated Children&#x2019;s Hospital of Kunming Medical University</institution>, <addr-line>Kunming, Yunnan</addr-line>, <country>China</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Department of Clinical Laboratory, The Children&#x2019;s Hospital of Kunming City, The Affiliated Children&#x2019;s Hospital of Kunming Medical University</institution>, <addr-line>Kunming, Yunnan</addr-line>, <country>China</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>Department of Geriatric, The First People&#x2019;s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology</institution>, <addr-line>Kunming, Yunnan</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Helga Elineema Naburi, Muhimbili University of Health and Allied Sciences, Tanzania</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Angela Leigh Cumberland, RMIT University, Australia</p>
<p>Nuerya Rejiafu, Children&#x2019;s Hospital of Xinjiang Uygur Autonomous Region, China</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Jingjing Yang <email>aimee_23@163.com</email></corresp>
<fn fn-type="equal" id="an1"><label><sup>&#x2020;</sup></label><p>These authors have contributed equally to this work and share first authorship</p></fn>
<fn fn-type="other" id="fn001"><label><sup>&#x2021;</sup></label><p>ORCID Jingjing Yang <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0001-5422-6839">orcid.org/0000-0001-5422-6839</ext-link></p></fn>
</author-notes>
<pub-date pub-type="epub"><day>28</day><month>07</month><year>2025</year></pub-date>
<pub-date pub-type="collection"><year>2025</year></pub-date>
<volume>13</volume><elocation-id>1611345</elocation-id>
<history>
<date date-type="received"><day>14</day><month>04</month><year>2025</year></date>
<date date-type="accepted"><day>15</day><month>07</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Shu, Liu, Yuan, Ma and Yang.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Shu, Liu, Yuan, Ma and Yang</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://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.</p></license>
</permissions>
<abstract><sec><title>Aim</title>
<p>Neonatal hypoxic-ischemic encephalopathy (HIE) remains a significant cause of neonatal morbidity and mortality worldwide, necessitating the exploration of effective therapeutic interventions. Current treatment strategies primarily involve therapeutic hypothermia (TH); however, its efficacy remains inconsistent. Research topics and trends in this area remain unclear as well. This study aimed to identify key research areas, collaboration networks, and emerging trends using bibliometric analysis tools.</p>
</sec><sec><title>Methods</title>
<p>A comprehensive analysis was conducted on 1,165 records from the Web of Science Core Collection (WoSCC) database. Various bibliometric techniques were employed, including coauthor analysis, co-occurrence analysis, co-citation analysis, reference clustering, and topic modeling, to visualize the knowledge structure and research dynamics in the HIE field.</p>
</sec><sec><title>Results</title>
<p>The findings revealed extensive collaboration networks among authors, institutions, and countries, highlighting global efforts to address this critical neonatal condition. Recent trends identified key research areas, including TH, mild systemic hypothermia, oxidative stress, biomarkers and signaling pathways, which are essential for advancing the understanding and treatment of HIE.</p>
</sec><sec><title>Conclusion</title>
<p>This study provides valuable insights into the current TH for neonates with HIE. Future research should focus on optimizing treatment approaches and evaluating long-term efficacy to enhance clinical applications.</p>
</sec>
</abstract>
<kwd-group>
<kwd>therapeutic hypothermia</kwd>
<kwd>hypoxic-ischemic encephalopathy</kwd>
<kwd>biomarkers</kwd>
<kwd>signaling pathways</kwd>
<kwd>emerging treatments</kwd>
<kwd>bibliometric analysis</kwd>
</kwd-group><contract-num rid="cn001">2024-SW-22</contract-num><contract-num rid="cn002">2023-1-ns-016</contract-num><contract-sponsor id="cn001">Kunming Health Science and Technology Talent Training Project, Medical Science and Technology Discipline Leader Training Plan</contract-sponsor><contract-sponsor id="cn002">Kunming Science and Technology Bureau Plan</contract-sponsor><counts>
<fig-count count="7"/>
<table-count count="2"/><equation-count count="0"/><ref-count count="47"/><page-count count="13"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Neonatology</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1"><title>Highlights</title>
<list list-type="simple">
<list-item><label>&#x2022;</label>
<p>Bibliometric analysis of 1,165 studies reveals global collaboration networks and emerging HIE research trends, including therapeutic hypothermia (TH) optimization.</p></list-item>
<list-item><label>&#x2022;</label>
<p>Key focuses: pathogenesis, therapeutic hypothermia and emerging treatments.</p></list-item>
<list-item><label>&#x2022;</label>
<p>Future priorities: refining TH protocols and evaluating long-term neurodevelopmental outcomes to improve clinical translation.</p></list-item>
</list>
</sec>
<sec id="s2" sec-type="intro"><title>Introduction</title>
<p>Neonatal hypoxic-ischemic encephalopathy (HIE) is a form of brain damage resulting from insufficient oxygen supply or reduced blood flow during birth, commonly affecting newborns, particularly those experiencing prenatal distress. The incidence of HIE among newborns is estimated to be approximately one to six cases per 1,000 live births, with rates reaching 10&#x2013;20 cases per 1,000 live births in low-income countries (<xref ref-type="bibr" rid="B1">1</xref>). The pathogenesis of HIE is complex, involving multiple pathophysiological processes, including hypoxia, reperfusion injury, inflammation, oxidative stress, and apoptosis (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Currently, effective treatment options for HIE remain limited (<xref ref-type="bibr" rid="B3">3</xref>). Therapeutic hypothermia (TH) is the standard treatment for moderate-to-severe HIE; however, its efficacy varies, and some newborns develop brain damage despite treatment (<xref ref-type="bibr" rid="B4">4</xref>). TH functions by slowing metabolic rates and reducing cell mortality, thereby protecting brain tissue to a certain extent. However, TH alone is insufficient to prevent long-term nerve damage; therefore, researchers are exploring other treatments in combination with TH. New biomarkers and emerging treatments have become the focus of research.</p>
<p>The current status and hotspots of TH treatment in HIE have not been analyzed bibliometrically, and research topics and trends in this area remain unclear. The aim of this study was to explore the application and research trends of TH in neonates with HIE using bibliometric kits such as CiteSpace, VOSviewer, and R software. By analyzing literature data, we aimed to identify key research areas, collaboration networks, and emerging trends in the field.</p>
<p>Our study involved a comprehensive analysis of 1,165 records from the Web of Science Core Collection (WoSCC). Various bibliometric techniques, including coauthor analysis, co-occurrence analysis, co-citation analysis, reference clustering, and topic modeling, were employed to visualize the knowledge structure and research dynamics of HIE.</p>
</sec>
<sec id="s3" sec-type="methods"><title>Methods</title>
<sec id="s3a"><title>Data collection</title>
<p>A comprehensive literature search of the WoSCC database was conducted on October 15, 2024. The primary search terms included &#x201C;hypothermia&#x201D; OR &#x201C;therapeutic hypothermia&#x201D; OR &#x201C;cooling therapy&#x201D; OR &#x201C;neonatal hypoxic-ischemic encephalopathy&#x201D; OR &#x201C;neonatal HIE&#x201D; OR &#x201C;newborn hypoxic-ischemic encephalopathy&#x201D; OR &#x201C;perinatal asphyxia&#x201D;. The search was restricted to English-language articles. The article type is limited to &#x201C;Article&#x201D;, excluding other types such as &#x201C;Meeting&#x201D;, &#x201C;Case report&#x201D; and &#x201C;Review article&#x201D;, in order to ensure that only published articles that have undergone rigorous and systematic scientific review are included, and to avoid the interference of secondary literature. To avoid the effect of database updates, all data results were downloaded on the same day. It is worth noting that as of the execution time of the search (October 15, 2024), although it was not possible to fully incorporate all the published literature in 2024, we still hoped to conduct a reliable and relatively complete quantitative characterization of the status of this research field in 2024. Therefore, the published literature of that year was retained for subsequent analysis. File formats include plaintext, BibTex, and tab-limited files. Finally, 1,165 records were identified for analysis. The detailed search and screening process is shown in <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Search strategy and analysis flowchart for therapeutic hypothermia in neonatal hypoxic ischemic encephalopathy.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-13-1611345-g001.tif"><alt-text content-type="machine-generated">Flowchart depicting the identification of studies via databases. The process begins with searching terms related to hypothermia and neonatal hypoxic-ischemic encephalopathy from January 1, 1985, to October 15, 2024, yielding 1,561 publications. After removing duplicates and ineligible articles, 1,217 are screened. Ultimately, 1,165 studies are identified after excluding those without abstracts or non-English language publications.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3b"><title>Data analysis and visualization</title>
<p>In this study, we imported the retrieved data into the bibliometrix (version 4.3.0) package in CiteSpace (version 6.3. R1), VOSviewer (version 1.6.20), R software (version 4.4.0), and KH Coder (version 3b07d) for analysis and visualization. VOSviewer was used to visualize knowledge graphs, including co-occurrence analysis and co-citation analysis of large-scale literature data, representing authors, journals, and other relevant information. It has been widely used in bibliometric analysis and research (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). We also used CiteSpace (version 6.3. R1) to perform reference cluster analysis to identify developments and future trends in the research field (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>Additionally, an international cooperation network among countries was mapped using an online scientometrics platform. The bibliometrix package in R software was used to generate histograms of citations, illustrating citation relationships between documents and revealing how knowledge is transferred within the field of study. By analyzing the chain of citations, we can trace the spread of important theories or discoveries.</p>
<p>We employed the latent Dirichlet allocation (LDA), a widely-used topic modeling method capable of efficiently processing unstructured textual data (<xref ref-type="bibr" rid="B8">8</xref>), to analyze large-scale document collections. Through LDA, we first generated a vocabulary of term functions by statistically analyzing word co-occurrence patterns across documents. We then quantified the association between documents and latent topics based on term frequency distributions within each text.</p>
<p>Raw data downloaded from WoSCC were imported into Microsoft Excel 2021 for the initial collation. Only article titles and abstracts were retained to form the original corpus. To ensure result reliability and validity, word frequency thresholds were established, generic stop words were removed, and specific stop words were defined. LDA-based topic modeling and word cloud mapping were performed using KH Coder software and Word Cloud. At the final stage, research topics were manually labelled based on the 10 most relevant articles and 20 key topic terms.</p>
</sec>
<sec id="s3c"><title>Partial language polishing using ChatGPT 4</title>
<p>We used ChatGPT (Open AI, version 4.0) for part of the language polishing. The date of the visit is February 6, 2025. We have manually checked and guaranteed the accuracy of the AI polished content.</p>
</sec>
<sec id="s3d"><title>Ethical considerations</title>
<p>This study is a bibliometric analysis and therefore ethical approval is not applicable.</p>
</sec>
</sec>
<sec id="s4" sec-type="results"><title>Results</title>
<sec id="s4a"><title>Annual trend of publications</title>
<p>Our analysis of the annual number of publications and citations in the field from 1985 to 2024 (as of the time of the search execution: October 15, 2024) provides insight into the research trends and the importance of this area. As shown in <xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>. Between 1985 and 2024, the number of publications and citations in the field of TH in neonatal HIE showed different trends. There is an increasing trend in the number of published papers, indicating that research in this field is gradually gaining attention. The number of citations also increases with the number of published papers, reflecting the high academic value and clinical significance of research results in this area.</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Annual trends in publications and citations. The blue strips represent articles and the red lines represent citations. The horizontal coordinate represents the year, the left vertical coordinate represents the number of articles and the right vertical coordinate represents the total number of citations.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-13-1611345-g002.tif"><alt-text content-type="machine-generated">Bar and line graph showing the number of articles and total citations from 1985 to 2024. Articles (pink bars) steadily increase, peaking around 2020. Total citations (gray line) rise significantly after 2008, peaking around 2020, then slightly declining.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s4b"><title>Subject distribution analysis</title>
<p>As illustrated in <xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>, the subject distribution analysis, based on the superimposed CiteSpace double charts, demonstrates the interdisciplinary nature of research on TH in neonatal HIE. The participation of different disciplines has provided a wealth of perspectives and methods for research in this area, contributing to a more comprehensive understanding and solution for the complex medical problems of neonatal HIE.</p>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Subject analysis using a double-graph superposition approach. Researches in this area involves many disciplines, showing the characteristics of multi-discipline research.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-13-1611345-g003.tif"><alt-text content-type="machine-generated">Colorful network graph representing various scientific disciplines and their connections. Clusters are labeled with titles like \"Molecular Biology, Immunology\" and \"Mathematics, Systems, Mathematical,\" indicating thematic groupings. Curved lines illustrate connections between clusters, suggesting interdisciplinary relationships.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s4c"><title>National co-authorship, institutional co-authorship, co-citation and journal co-citation network analysis</title>
<p><xref ref-type="fig" rid="F4">Figure&#x00A0;4A</xref> highlights significant differences in the number of publications in this field between different countries. The United States had the highest number with 361. <xref ref-type="fig" rid="F4">Figure&#x00A0;4B</xref> shows the differences in the research activities of different institutions in this field. The University of Bristol led this process with 45 publications. <xref ref-type="fig" rid="F4">Figure&#x00A0;4C</xref> shows that highly cited authors, such as Maier, Steven F. Watkins, and Linda R., each with 808 citations, have high visibility and influence in this field. <xref ref-type="fig" rid="F4">Figure&#x00A0;4D</xref> illustrates that of the many journals, the New England Journal of Medicine leads with 4,472 citations.</p>
<fig id="F4" position="float"><label>Figure 4</label>
<caption><p>National co-authorship, institutional co-authorship, co-citation and journal co-citation network analysis. <bold>(A)</bold> Analysis of national co-authorship networks; <bold>(B)</bold> institutional co-authorship network analysis; <bold>(C)</bold> author co-citation network analysis; <bold>(D)</bold> journal co-citation network analysis.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-13-1611345-g004.tif"><alt-text content-type="machine-generated">Four interconnected network maps labeled A, B, C, and D are shown. Each map displays nodes and lines representing relationships: \n\nA depicts country connections, predominantly centered on the USA and the United Kingdom. \n\nB shows university affiliations, highlighting institutions like Wayne State University and Johns Hopkins University. \n\nC illustrates individual collaborations among researchers, including Hristova, Mariya and others. \n\nD presents journal connections, with Pediatric Research and Journal of Pediatrics as central nodes. \n\nEach map varies in color, indicating different groupings and associations.</alt-text>
</graphic>
</fig>
<p>We also summarized the total number of publications, number of citations, and average number of citations for countries, authors, institutions, and journals, and the results are shown in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>.</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Total number of publications, citation times, average citation times of countries, authors, institutions and journals.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Ranking</th>
<th valign="top" align="center"/>
<th valign="top" align="center">NC</th>
<th valign="top" align="center">NP</th>
<th valign="top" align="center">AC</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5">Journals</td>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">New England Journal Of Medicine</td>
<td valign="top" align="center">4,472</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">894.4</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Pediatrics</td>
<td valign="top" align="center">2,730</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">113.75</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Journal Of Pediatrics</td>
<td valign="top" align="center">1,936</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">43.0222</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Pediatric Research</td>
<td valign="top" align="center">1,529</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">28.3148</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Archives Of Disease In Childhood-Fetal And Neonatal Edition</td>
<td valign="top" align="center">1,042</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">61.2941</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Journal Of Perinatology</td>
<td valign="top" align="center">927</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">22.0714</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Neonatology</td>
<td valign="top" align="center">691</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">22.2903</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">PLos One</td>
<td valign="top" align="center">671</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">26.84</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Journal Of Cerebral Blood Flow And Metabolism</td>
<td valign="top" align="center">602</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">40.1333</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">BMC Pediatrics</td>
<td valign="top" align="center">589</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">29.45</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Country</td>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">15,607</td>
<td valign="top" align="center">361</td>
<td valign="top" align="center">43.2327</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">United Kingdom</td>
<td valign="top" align="center">10,489</td>
<td valign="top" align="center">194</td>
<td valign="top" align="center">54.067</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">China</td>
<td valign="top" align="center">1,354</td>
<td valign="top" align="center">94</td>
<td valign="top" align="center">14.4043</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Netherlands</td>
<td valign="top" align="center">2,789</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">30.9889</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Canada</td>
<td valign="top" align="center">4,073</td>
<td valign="top" align="center">85</td>
<td valign="top" align="center">47.9176</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="center">1,169</td>
<td valign="top" align="center">68</td>
<td valign="top" align="center">17.1912</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="center">1,122</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">22.898</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="center">547</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">11.8913</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Spain</td>
<td valign="top" align="center">763</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">16.587</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">Sweden</td>
<td valign="top" align="center">1,718</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">37.3478</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Institutions</td>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Univ Bristol</td>
<td valign="top" align="center">5,690</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">126.4444</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Univ Med Ctr Utrecht</td>
<td valign="top" align="center">1,116</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">28.6154</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Univ Oslo</td>
<td valign="top" align="center">1,049</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">27.6053</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Ucl</td>
<td valign="top" align="center">3,993</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">107.9189</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Stanford Univ</td>
<td valign="top" align="center">4,005</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">114.4286</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Wayne State Univ</td>
<td valign="top" align="center">4,499</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">128.5429</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Johns Hopkins Univ</td>
<td valign="top" align="center">685</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">22.0,968</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">Univ Auckland</td>
<td valign="top" align="center">3,402</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">109.7419</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Univ Calif San Francisco</td>
<td valign="top" align="center">2,779</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">99.25</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">Karolinska Inst</td>
<td valign="top" align="center">643</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">24.7308</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Authors</td>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Thoresen, Marianne</td>
<td valign="top" align="center">3,377</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">96.4857</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Edwards, A. David</td>
<td valign="top" align="center">2,489</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">207.4167</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Groenendaal, Floris</td>
<td valign="top" align="center">1,337</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">30.3864</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Robertson, Nicola J.</td>
<td valign="top" align="center">1,248</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">54.2609</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">De Vries, Linda S.</td>
<td valign="top" align="center">1,242</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">46</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Azzopardi, Denis</td>
<td valign="top" align="center">1,230</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">102.5</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Shankaran, Seetha</td>
<td valign="top" align="center">1,199</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">54.5</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">Bainbridge, Alan</td>
<td valign="top" align="center">1,029</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">64.3125</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Laptook, Abbot R.</td>
<td valign="top" align="center">871</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">54.4375</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">Liu, Xun</td>
<td valign="top" align="center">846</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">56.4</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>NP, number of publications; NC, number of citations; AC, average citations (NC/NP)/.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>In the co-occurrence network shown in <xref ref-type="fig" rid="F5">Figure&#x00A0;5A</xref>, the size and color of the nodes indicate the strength of the relationship between the frequency of keyword occurrences and the research topic. Notable themes included &#x201C;Mild Systemic Hypothermia&#x201D;, &#x201C;Birth Asphyxia&#x201D;, &#x201C;amplitude-integrated&#x201D; &#x201C;electroencephalography&#x201D;, &#x201C;Near-infrared Spectroscopy&#x201D;, &#x201C;Childhood Outcome&#x201D;, and &#x201C;Prognostic Value&#x201D;.</p>
<fig id="F5" position="float"><label>Figure 5</label>
<caption><p>Co-occurrence cluster network, co-occurrence time dimension network, cluster timeline view and citation burst analysis. <bold>(A)</bold> Cluster network analysis based on VOSviewer keyword co-occurrence. The size and color of the nodes represent the strength of the relationship between the frequency of keyword occurrence and the research topic. <bold>(B)</bold> Temporal dimension network analysis of keyword co-occurrence based on VOSviewer. The color of the nodes reflects the research activity of the keywords in different periods. Blue and green represent earlier studies. Red and yellow represent recent research. <bold>(C)</bold> Citespace keyword clustering timeline view. The redder the clustering label color, the closer the study time is to the present. <bold>(D)</bold> Citation burst (top 25 keywords).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-13-1611345-g005.tif"><alt-text content-type="machine-generated">Four-part scientific visualization comprising: (A) A keyword co-occurrence network from 1993-2022, highlighting clusters with terms related to hypothermia and encephalopathy. (B) A keyword thematic evolution network from 2012-2018, showing similar topics with color-coded clusters. (C) A thematic river showing the evolution of key research themes over time with peaks and term labels. (D) A bar chart listing the top 25 keywords with the strongest citation bursts from 1975-2024, indicating shifts in research focus.</alt-text>
</graphic>
</fig>
<p>Time-dimensional network analysis of keyword co-occurrence using VOSviewer revealed the evolution of these research topics over different periods. Earlier studies, shown in blue and green, focused on topics such as &#x201C;Therapeutic Hypothermia&#x201D; and &#x201C;Hypoxic-Ischemic Encephalopathy.&#x201D; Over time, the research focus gradually shifted to more specific topics, such as &#x201C;Mild Systemic Hypothermia,&#x201D; &#x201C;Oxidative Stress&#x201D; and &#x201C;Biomarkers,&#x201D; indicating that they have become research hotspots in recent years. Further details are shown in <xref ref-type="fig" rid="F5">Figure&#x00A0;5B</xref>.</p>
<p>The red color of the cluster labels in <xref ref-type="fig" rid="F5">Figure&#x00A0;5C</xref> indicates that the study time was closer to the present time. Using CiteSpace cluster analysis, we can clearly observe research hotspots and trends in the TH of HIE.</p>
<p><xref ref-type="fig" rid="F5">Figure&#x00A0;5D</xref> shows the top 25 keywords with the strongest citation bursts between 1985 and 2024, with &#x201C;mild hypothermia&#x201D; beginning to show citation bursts in 1998 and continuing to 2012 with a higher intensity. This suggests that mild TH has received widespread attention in this field, likely because it can reduce side effects, while still playing a role in the treatment of neonatal HIE.</p>
<p>In addition, after analyzing the occurrence frequency of keywords and their Total Link Strength value, it was found that research on the TH of HIE focused on perinatal asphyxia, hypoxic ischemic encephalopathy, different hypothermia treatment methods, therapeutic effects, prognosis evaluation, the particularity of the study object, and the application of detection technology. Further details are presented in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>.</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Keyword occurrence frequency and total association strength value.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Rank</th>
<th valign="top" align="center">Keyword</th>
<th valign="top" align="center">Total link strength</th>
<th valign="top" align="center">Occurrences</th>
<th valign="top" align="center">Rank</th>
<th valign="top" align="center">Keyword</th>
<th valign="top" align="center">Total link strength</th>
<th valign="top" align="center">Occurrences</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Perinatal asphyxia</td>
<td valign="top" align="center">1,672</td>
<td valign="top" align="center">426</td>
<td valign="top" align="center">21</td>
<td valign="top" align="left">Birth</td>
<td valign="top" align="center">238</td>
<td valign="top" align="center">57</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Hypoxic-ischemic encephalopathy</td>
<td valign="top" align="center">1,160</td>
<td valign="top" align="center">279</td>
<td valign="top" align="center">22</td>
<td valign="top" align="left">Mild systemic hypothermia</td>
<td valign="top" align="center">202</td>
<td valign="top" align="center">40</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Neonatal encephalopathy</td>
<td valign="top" align="center">992</td>
<td valign="top" align="center">219</td>
<td valign="top" align="center">23</td>
<td valign="top" align="left">Patterns</td>
<td valign="top" align="center">200</td>
<td valign="top" align="center">41</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Brain-injury</td>
<td valign="top" align="center">907</td>
<td valign="top" align="center">216</td>
<td valign="top" align="center">24</td>
<td valign="top" align="left">Children</td>
<td valign="top" align="center">193</td>
<td valign="top" align="center">50</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Whole-body hypothermia</td>
<td valign="top" align="center">897</td>
<td valign="top" align="center">202</td>
<td valign="top" align="center">25</td>
<td valign="top" align="left">Prediction</td>
<td valign="top" align="center">193</td>
<td valign="top" align="center">40</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Infants</td>
<td valign="top" align="center">829</td>
<td valign="top" align="center">224</td>
<td valign="top" align="center">26</td>
<td valign="top" align="left">Cerebral-palsy</td>
<td valign="top" align="center">183</td>
<td valign="top" align="center">46</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Therapeutic hypothermia</td>
<td valign="top" align="center">787</td>
<td valign="top" align="center">202</td>
<td valign="top" align="center">27</td>
<td valign="top" align="left">MRI</td>
<td valign="top" align="center">176</td>
<td valign="top" align="center">42</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">Hypothermia</td>
<td valign="top" align="center">776</td>
<td valign="top" align="center">282</td>
<td valign="top" align="center">28</td>
<td valign="top" align="left">Prognostic value</td>
<td valign="top" align="center">174</td>
<td valign="top" align="center">38</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Moderate hypothermia</td>
<td valign="top" align="center">635</td>
<td valign="top" align="center">146</td>
<td valign="top" align="center">29</td>
<td valign="top" align="left">Biomarkers</td>
<td valign="top" align="center">150</td>
<td valign="top" align="center">37</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">Outcomes</td>
<td valign="top" align="center">559</td>
<td valign="top" align="center">144</td>
<td valign="top" align="center">30</td>
<td valign="top" align="left">Asphyxia</td>
<td valign="top" align="center">147</td>
<td valign="top" align="center">48</td>
</tr>
<tr>
<td valign="top" align="left">11</td>
<td valign="top" align="left">Systemic hypothermia</td>
<td valign="top" align="center">501</td>
<td valign="top" align="center">109</td>
<td valign="top" align="center">31</td>
<td valign="top" align="left">Temperature</td>
<td valign="top" align="center">147</td>
<td valign="top" align="center">34</td>
</tr>
<tr>
<td valign="top" align="left">12</td>
<td valign="top" align="left">Injury</td>
<td valign="top" align="center">439</td>
<td valign="top" align="center">128</td>
<td valign="top" align="center">32</td>
<td valign="top" align="left">EEG</td>
<td valign="top" align="center">139</td>
<td valign="top" align="center">32</td>
</tr>
<tr>
<td valign="top" align="left">13</td>
<td valign="top" align="left">Term infants</td>
<td valign="top" align="center">379</td>
<td valign="top" align="center">79</td>
<td valign="top" align="center">33</td>
<td valign="top" align="left">Damage</td>
<td valign="top" align="center">137</td>
<td valign="top" align="center">46</td>
</tr>
<tr>
<td valign="top" align="left">14</td>
<td valign="top" align="left">Birth asphyxia</td>
<td valign="top" align="center">313</td>
<td valign="top" align="center">65</td>
<td valign="top" align="center">34</td>
<td valign="top" align="left">Childhood outcomes</td>
<td valign="top" align="center">133</td>
<td valign="top" align="center">28</td>
</tr>
<tr>
<td valign="top" align="left">15</td>
<td valign="top" align="left">Neuroprotection</td>
<td valign="top" align="center">302</td>
<td valign="top" align="center">69</td>
<td valign="top" align="center">35</td>
<td valign="top" align="left">Model</td>
<td valign="top" align="center">129</td>
<td valign="top" align="center">34</td>
</tr>
<tr>
<td valign="top" align="left">16</td>
<td valign="top" align="left">Brain</td>
<td valign="top" align="center">281</td>
<td valign="top" align="center">77</td>
<td valign="top" align="center">36</td>
<td valign="top" align="left">Amplitude-integrated electroencephalography</td>
<td valign="top" align="center">128</td>
<td valign="top" align="center">26</td>
</tr>
<tr>
<td valign="top" align="left">17</td>
<td valign="top" align="left">Mild hypothermia</td>
<td valign="top" align="center">268</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center">37</td>
<td valign="top" align="left">Spectroscopy</td>
<td valign="top" align="center">125</td>
<td valign="top" align="center">31</td>
</tr>
<tr>
<td valign="top" align="left">18</td>
<td valign="top" align="left">Encephalopathy</td>
<td valign="top" align="center">258</td>
<td valign="top" align="center">82</td>
<td valign="top" align="center">38</td>
<td valign="top" align="left">Blood-flow</td>
<td valign="top" align="center">119</td>
<td valign="top" align="center">27</td>
</tr>
<tr>
<td valign="top" align="left">19</td>
<td valign="top" align="left">Trial</td>
<td valign="top" align="center">248</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">39</td>
<td valign="top" align="left">Newborn</td>
<td valign="top" align="center">115</td>
<td valign="top" align="center">31</td>
</tr>
<tr>
<td valign="top" align="left">20</td>
<td valign="top" align="left">Newborn-infants</td>
<td valign="top" align="center">245</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">40</td>
<td valign="top" align="left">Selective head</td>
<td valign="top" align="center">115</td>
<td valign="top" align="center">23</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4d"><title>Citation analysis based on VOSviewer</title>
<p>VOSviewer&#x0027;s citation analysis in <xref ref-type="fig" rid="F6">Figure&#x00A0;6</xref> revealed key literature and author networks in the field, where, Toet et al. (<xref ref-type="bibr" rid="B48">48</xref>) published in Arch Dis Child Fetal Neonatal Ed, Rutherford, Rutherford et al. (<xref ref-type="bibr" rid="B49">49</xref>) published in Lancet Neurol (<xref ref-type="bibr" rid="B9">9</xref>), Shankaran et al. (<xref ref-type="bibr" rid="B50">50</xref>) published in Arch Dis Child Fetal Neonatal Ed (<xref ref-type="bibr" rid="B10">10</xref>), etc. have been frequently cited, showing the core position of these studies in the field of TH of neonatal HIE. Early studies, such as that by Sarnat Hb (<xref ref-type="bibr" rid="B51">51</xref>), published in Archives of Neurology (<xref ref-type="bibr" rid="B11">11</xref>), have constantly innovated research methods. Over time, our understanding of TH in neonatal HIE has continued to expand.</p>
<fig id="F6" position="float"><label>Figure 6</label>
<caption><p>Citation analysis based on vosviewer. <bold>(A</bold>,<bold>B)</bold> Key literature and author network in the field.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-13-1611345-g006.tif"><alt-text content-type="machine-generated">Panel A shows a citation network with nodes representing academic papers, linked by citations, color-coded to show clusters. Panel B displays a density visualization of the same network, highlighting areas of high citation density, with color gradients from blue (low) to yellow (high). Both panels are created using VOSviewer.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s4e"><title>Topic modeling</title>
<p>In this study, the LDA algorithm was used to model the topics of 1,165 articles, identifying 13 key topics based on widely recognized criteria. These topics were further categorized into four main research directions, with corresponding English terms summarized for each direction. These topics included &#x201C;TH,&#x201D; &#x201C;nanoparticle,&#x201D; &#x201C;miRNAs&#x201D; and &#x201C;signaling pathways,&#x201D; etc. The results are shown in <xref ref-type="fig" rid="F7">Figure&#x00A0;7</xref>.</p>
<fig id="F7" position="float"><label>Figure 7</label>
<caption><p>Thematic fishbone map and keyword cloud map based on thematic modeling. <bold>(A</bold>&#x2013;<bold>N)</bold> used the LDA algorithm to model the topic of 1,165 articles, identified the 13 best topics, classified the content into four main research directions, and summarized the corresponding English topics for each direction.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-13-1611345-g007.tif"><alt-text content-type="machine-generated">A diagram with several green word clouds labeled A to N. Each word cloud highlights terms associated with therapeutic hypothermia and neonatal hypoxic-ischemic encephalopathy. Key words include \"cortisol,\" \"allopurinol,\" \"morphine,\" \"gentamicin,\" \"cerebellar,\" \"CRP,\" \"neutrophil,\" \"anoxium,\" \"dexmedetomidine,\" \"UCO2,\" \"RNA,\" and \"vitamin.\" The header discusses applications, factors, and approaches in neonatal care for hypoxic-ischemic encephalopathy.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s5" sec-type="discussion"><title>Discussion</title>
<p>We chose bibliometric methods for our study because of their unique advantages over systematic reviews. First, bibliometrics can reveal the development trends and hot topics in a research field through quantitative analysis, thereby providing guidance for future research directions. Second, bibliometrics can identify highly influential authors, institutions and countries, providing essential information for scientific research collaboration. This is often difficult to achieve in systematic reviews. Systematic reviews can delve into specific issues and summarize available evidence, while bibliometrics offers a broader and more dynamic approach to understanding the development of a research field.</p>
<p>Our study identified a significant network of collaborations among authors, institutions, and countries, highlighting the global efforts to address HIE as a critical neonatal condition. In addition, our study has revealed that recent trends have focused on &#x201C;mild systemic hypothermia,&#x201D; &#x201C;oxidative stress,&#x201D; and &#x201C;biomarkers&#x201D;. And we also identified several key research topics through topic modelling, including TH, nanoparticles, miRNAs, and signaling pathways, which are critical for advancing the understanding and treatment of HIE.</p>
<sec id="s5a"><title>The pathological mechanism of HIE</title>
<p>HIE is a brain damage caused by hypoxia and ischemia that occurs during the perinatal stage and affects the survival and development of newborns. Lack of oxygen impairs the energy metabolism of brain cells, which in turn triggers a chain reaction involving cell damage and death. It has been shown that in the presence of hypoxia, the supply of oxygen to brain tissue is insufficient, resulting in reduced adenosine triphosphate synthesis within cells, damage to cell membrane integrity, and ultimately cell death (<xref ref-type="bibr" rid="B12">12</xref>). Hypoxia can trigger a range of inflammatory responses, further exacerbating brain damage (<xref ref-type="bibr" rid="B13">13</xref>).</p>
<sec id="s5a1"><title>Mechanism of oxidative stress in HIE</title>
<p>In the pathogenesis of HIE, oxidative stress is a key factor. The state of hypoxia-ischemia triggers energy depletion, leading to mitochondrial dysfunction and the production of excessive reactive oxygen species (ROS) (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Continued overproduction of ROS depletes the endogenous antioxidant defense system, making it unable to eliminate harmful free radicals, thereby causing extensive oxidative damage to lipids, proteins, and deoxyribonucleic acid (DNA) (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Hypoxia and ischemia can also trigger an inflammatory response. Once this inflammatory response is activated, it is combined with oxidative stress to create a vicious cycle of mutual reinforcement (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Recent evidence also indicates that ferroptosis triggered by the collapse of the antioxidant system (such as glutathione peroxidase 4) is an important mechanism for neuronal death (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Understanding these mechanisms provides a theoretical basis for developing novel neuroprotective strategies targeting antioxidant pathways (such as activating the nuclear factor erythroid 2-related factor 2 pathway), inhibiting ferroptosis, or combining with existing therapies (such as TH).</p>
</sec>
<sec id="s5a2"><title>The role of neuronal and glial cell damage in HIE</title>
<p>The core of neural damage in HIE is a vicious cycle formed by neuronal apoptosis and excessive activation of glial cells. Neuronal death occurs mainly through the apoptotic pathway. It has been found that the p75 neurotrophic factor receptor and neurofilament protein are co-expressed, and that inhibiting Nestin exacerbates apoptosis in neurons; In turn, the Fc fragment of human immunoglobulin IgG1 (p75ECD-Fc) significantly reduces apoptosis in neurons after hypoxia by upregulating the expression of Nestin (<xref ref-type="bibr" rid="B18">18</xref>). While the activated microglia release pro-inflammatory factors (such as tumor necrosis factor-&#x03B1; and interleukin-1&#x03B2;), they directly damage neurons through paracrine action (<xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>In the early stages of HIE, pro-inflammatory type A1 astrocytes dominate, secreting complement components that exacerbate neuronal damage. Treatment with p75ECD-Fc significantly promotes their conversion into neuroprotective type A2 cells and reduces glial scar formation (<xref ref-type="bibr" rid="B18">18</xref>). In the later stages of HIE, M1 type microglia release toxic substances such as nitric oxide and ROS; Treatment with P75ECD-Fc drives the M1 to M2 transition, alleviating neuroinflammation and promoting tissue repair (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). The C-X-C motif chemokine ligand 10 (CXCL10) secreted by microglia guides mesenchymal stem cells (MSCs) to migrate to the brain injury site and promotes repair. Inhibiting the CXCL10- C-X-C motif chemokine receptor 3 (CXCR3) axis will block the localization effect of MSCs (<xref ref-type="bibr" rid="B19">19</xref>).</p>
</sec>
<sec id="s5a3"><title>The role of molecular signaling pathways in HIE</title>
<p>The nuclear factor &#x03BA;B (NF-&#x03BA;B) acts as a crucial transcription factor and its activation mechanism under hypoxic-ischemic conditions is particularly significant. Hypoxic-ischemia can activate the inhibitor of &#x03BA;B (I&#x03BA;B) kinase complex through Toll-like receptors and tumor necrosis factor receptors, leading to the nuclear translocation of NF-&#x03BA;B (<xref ref-type="bibr" rid="B20">20</xref>). Hypoxia, on the other hand, can also increase ROS production. The increase in ROS further promotes the activation of NF-&#x03BA;B. NF-&#x03BA;B binds to the promoter of its target genes in the cell nucleus, promoting the expression of a series of pro-inflammatory factors. These factors play an important role in the pathological course of hypoxia-ischemia (<xref ref-type="bibr" rid="B21">21</xref>). Furthermore, under conditions of hypoxia and ischemia, the continuous activation of NF-&#x03BA;B may lead to abnormal regulation of the cell cycle, increase cell death, and thereby aggravate nerve damage (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>The cross-regulatory mechanism of the mitogen-activated protein kinase (MAPK) signaling pathway has gradually attracted attention in the study of HIE. The MAPK signaling pathway is a large signaling family, with the c-Jun N-terminal kinase (JNK) and extracellular-signal-regulated kinase (ERK) pathways being the two most important branches; The phosphatidylinositol 3-kinase/protein kinase B (PI3K/AKT) pathway is another closely related, frequently synergistic or antagonistic signaling pathway. Studies have found that the activation of the JNK pathway can trigger a series of downstream effects, including the release of pro-inflammatory cytokines, which further activate the NF-&#x03BA;B pathway, forming a positive feedback loop, leading to the intensification of the inflammatory response (<xref ref-type="bibr" rid="B23">23</xref>). When the ERK pathway is activated, it can enhance the cell&#x0027;s survival signal through the PI3K/AKT pathway, thus resisting cell death caused by oxygen deprivation. After hypoxic-ischemic injury, ERK activation promotes cell regeneration and repair processes, which are critical for the survival of ischemic neurons (<xref ref-type="bibr" rid="B24">24</xref>).</p>
</sec>
</sec>
<sec id="s5b"><title>New biomarkers&#x2014;microRNAs&#x2014;play a role in the diagnosis and treatment of HIE</title>
<p>Currently, the research on biomarkers for HIE has shifted from single traditional markers (such as protein markers, cell damage/apoptosis markers, inflammation markers, oxidative stress markers, etc.) to multimodal combinations, and has explored new sources of biomarkers, such as microRNAs (miRNAs).</p>
<p>We have already known that miRNAs are non-coding RNAs composed of 22 nucleotides that regulate gene expression by cutting specific messenger RNAs (mRNAs) or inhibiting their translation. Since miRNAs can regulate more than 60&#x0025; of protein-coding genes in the human genome, they play a crucial role in key cellular processes, including differentiation, proliferation, growth, and apoptosis (<xref ref-type="bibr" rid="B25">25</xref>). Additionally, miRNAs exhibit tissue- and time-specific expression in the nervous system, making them potential biomarkers and therapeutic targets (<xref ref-type="bibr" rid="B26">26</xref>).</p>
<p>Overexpression of miR-124 significantly improves the survival of neurons under hypoxic conditions and reduces the number of apoptotic cells (<xref ref-type="bibr" rid="B27">27</xref>). Additionally, miR-499-5p plays a protective role against hypoxic-ischemic injury by regulating C-reactive protein expression and inhibiting apoptosis in nerve cells (<xref ref-type="bibr" rid="B28">28</xref>). Another study confirmed that miR-363-3p alleviates hypoxic-ischemic injury by targeting DUSP5, demonstrating its potential as a therapeutic target (<xref ref-type="bibr" rid="B29">29</xref>). These findings suggest that miRNAs may become a key target in future therapeutic strategies for HIE, contributing to the advancement of personalized medicine.</p>
</sec>
<sec id="s5c"><title>Application of TH and mild systemic hypothermia to the treatment of HIE</title>
<p>TH is widely used in the management of HIE, primarily to reduce the metabolic rate of brain cells and mitigate hypoxia-induced cell damage. Studies have shown that Low temperatures can significantly inhibit apoptosis and inflammatory responses, thereby protecting the integrity and function of brain cells. Low temperatures can reduce the concentration of intracellular calcium ions, production of intracellular ROS, and damage caused by oxidative stress in cells (<xref ref-type="bibr" rid="B30">30</xref>). In addition, hypothermia reduces inflammation by regulating key signaling pathways such as NF-&#x03BA;B and MAPK signaling pathways, thereby promoting cell survival and functional recovery (<xref ref-type="bibr" rid="B31">31</xref>). In animal models, TH has been shown to be effective in alleviating brain tissue damage following hypoxic ischemia, reducing cell mortality, and improving the recovery of neurological function (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>Mild systemic hypothermia is currently the most widely used and evidence-based treatment method for TH in clinical practice. It refers to a standardized neuroprotective treatment for neonates with moderate to severe HIE. It is initiated within 6&#x2005;h after birth, using active cooling techniques to precisely control the core body temperature within the range of 33&#x00B0;C&#x2013;34&#x00B0;C, and maintaining this temperature for 72&#x2005;h. Subsequently, the body temperature is slowly restored (<xref ref-type="bibr" rid="B33">33</xref>).</p>
<p>In clinical applications, TH has been shown to significantly improves the prognosis of HIE. Clinical trials have reported that after 72&#x2005;h of TH, infants exhibit improved neurological function scores, increased survival rates, and better long-term neurodevelopmental outcomes (<xref ref-type="bibr" rid="B34">34</xref>). Additionally, TH has been found to reduce the incidence of epilepsy and the risk of long-term neurological damage in newborns (<xref ref-type="bibr" rid="B35">35</xref>). Despite these benefits, the efficacy of TH may be influenced by several factors, including the timing of treatment initiation, the duration of hypothermia, and the overall health status of the newborn (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>Although TH has shown some efficacy in treating HIE, approximately 29&#x0025; of newborns treated with this treatment still develop severe neurological developmental disorders (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). Clinical studies have shown that while TH can significantly reduce mortality and the risk of major disability, it cannot completely eliminate the long-term complications associated with HIE, such as epilepsy, motor impairment, and cognitive impairment (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B38">38</xref>). Several studies have also found that newborns may still experience a persistent neuroinflammatory response even after TH treatment, which may be an important factor in poor outcomes (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B39">39</xref>). TH may also cause the newborn&#x0027;s body temperature to become too low, thereby triggering complications such as arrhythmia and coagulation dysfunction (<xref ref-type="bibr" rid="B31">31</xref>). In low-income countries, TH implementation is even less satisfactory due to the scarcity of medical resources. This further highlights the importance of seeking alternative or complementary treatments (<xref ref-type="bibr" rid="B40">40</xref>). Therefore, relying solely on TH is not sufficient to meet the needs of all patients. It is necessary to explore other drugs or interventions to enhance its effectiveness (<xref ref-type="bibr" rid="B39">39</xref>).</p>
</sec>
<sec id="s5d"><title>Emerging treatments</title>
<p>Emerging treatments for HIE are still in the exploratory stage.</p>
<p>Creatine is an important component of cellular energy metabolism. By participating in the creatine-phosphate system, it helps maintain the level of adenosine triphosphate, thereby supporting neuronal function and reducing damage related to energy depletion (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>). Creatine supplementation has been proven to protect brain tissue by reducing oxidative stress, inhibiting inflammatory pathways, and decreasing cell apoptosis (<xref ref-type="bibr" rid="B42">42</xref>). However, current data from related studies are still insufficient.</p>
<p>Nanoparticles typically range in size from 1 to 100&#x2005;nm, which are tiny dimensions that allow them to penetrate cell membranes and enable efficient drug delivery within cells (<xref ref-type="bibr" rid="B43">43</xref>).</p>
<p>One study showed that the use of magnetic nanoparticles enabled local heating by an external magnetic field at low temperatures, thus enhancing the efficacy of drugs (<xref ref-type="bibr" rid="B44">44</xref>). Therefore, the use of nanoparticles can enhance the drug delivery efficiency at low temperatures and help the drug cluster better in the damaged area. In future, the combination of nanoparticles and TH may produce synergistic effects, providing new ideas and possibilities for the treatment of HIE.</p>
<p>Most emerging therapies are still in the research phase and far from becoming routine clinical treatments.</p>
</sec>
<sec id="s5e"><title>Current trends and collaborations play a major role in advancing HIE research</title>
<p>At present, the research on HIE mainly focuses on a series of new targets and emerging treatments, which will promote the early diagnosis of the disease, the precision of treatment, and the assessment of prognosis.</p>
<p>In terms of the practical implications of advancing HIE research, it is crucial to understand how the most active authors or institutions influence future work, collaborations or funding directions. On the one hand, by analyzing bibliometric data, one can identify researchers and institutions with significant influence in this field, thus providing a basis for future collaborations. In addition, these active authors are often able to attract more grant support, thereby facilitating larger scale and more innovative research projects.</p>
</sec>
<sec id="s5f"><title>External factors affecting the diagnosis and treatment of HIE</title>
<p>HIE is not merely a medical issue; This is a complex challenge, involving multiple external factors. Among the external factors, underfunding often leads to delays in infrastructure construction (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>), while a lack of necessary human resources and training often results in ineffective infrastructure utilization. This, in turn, affects the quality of care (<xref ref-type="bibr" rid="B9">9</xref>). In addition, the inadequacy of regulatory policies can also lead to inconsistencies in clinical practice, making it difficult to extend best practices to all medical institutions. Therefore, in order to optimize treatment outcomes for patients with HIE, it is necessary to start from a systemic perspective and consider and continuously improve these key external factors comprehensively to ensure that every newborn receives timely and effective intervention (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B47">47</xref>).</p>
</sec>
<sec id="s5g"><title>Strengths and limitations</title>
<p>The study combines multidimensional bibliometric methods (coauthor/co-occurrence/co-citation analysis) with topic modeling, supported by a robust dataset (1,165 WoSCC records), to systematically map HIE research trends. It bridges theoretical insights (e.g., mild systemic hypothermia, oxidative stress, biomarkers and signaling pathways) to clinical priorities, emphasizing actionable strategies for optimizing TH in neonatal care.</p>
<p>However, this study has some limitations that warrant consideration. First, the research relied primarily on bibliometric analyses and lacked integration with wet-lab experiments, which could provide a more comprehensive understanding of the biological mechanisms underlying TH in neonatal HIE. Second, the sample size of the reviewed literature, although substantial, may not have encompassed all relevant studies, potentially leading to a skewed understanding of the field. Third, this study included only original articles published in English, which may have led to the omission of key regional studies published in non-English languages. There is a possibility that the data set over-represents the perspectives and research activities in high-income countries and does not fully reflect the true research trends and challenges in the global context, especially in lower-income countries with high HIE burdens. Fourth, relying on citation metrics (such as the number of citations) to assess influence has inherent biases. These metrics mainly reflect visibility and attention within the mainstream (especially English) academic communication system, which itself is biased towards high-income countries and English-language publications. Fifth, reliance on title and abstract analysis may miss key details in full-text articles. Finally, selection bias between databases (e.g., WoS vs. PubMed) affecting data representativeness.</p>
</sec>
</sec>
<sec id="s6" sec-type="conclusions"><title>Conclusion</title>
<p>In conclusion, this study successfully mapped the landscape of TH research in neonatal HIE, highlighting key collaborations, research hotspots, and emerging trends. The use of advanced bibliometric tools and topic modeling has provided valuable insights into the evolution and future directions of this research area. Integrating these findings with those of experimental and clinical studies could enhance their applicability and impact and ultimately contribute to improved therapeutic strategies for neonatal HIE. The insights gained from this study lay a foundation for future research and underscore the importance of interdisciplinary collaboration in advancing the field.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="data-availability"><title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>JS: Data curation, Formal analysis, Writing &#x2013; original draft. LL: Data curation, Formal analysis, Writing &#x2013; original draft. MY: Data curation, Writing &#x2013; review &#x0026; editing. MM: Data curation, Writing &#x2013; review &#x0026; editing. JY: Conceptualization, Writing &#x2013; original draft.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by Kunming Health Science and Technology Talent Training Project, Medical Science and Technology Discipline Leader Training Plan (No. 2024-SW-22) and Kunming Science and Technology Bureau Plan Project (No. 2023-1-ns-016).</p>
</sec>
<ack><title>Acknowledgments</title>
<p>The authors appreciate the time and effort given by participants during the data collection phase of the Web of Science Core Collection database. Appreciate some language polish support by ChatGPT (OpenAI version 4.0). Appreciate the support provided by Kunming Health Science and Technology Talent Training Project, Medical Science and Technology Discipline Leader Training Plan (No. 2024-SW-22) and Kunming Science and Technology Bureau Plan Project (No. 2023-1-ns-016).</p>
</ack>
<sec id="s10" sec-type="COI-statement"><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 id="s11" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declare that Generative AI was used in the creation of this manuscript. We used ChatGPT (Open AI, version 4.0) for part of the language polishing. The date of the visit is February 6, 2025. We have manually checked and guaranteed the accuracy of the AI polished content.</p>
</sec>
<sec id="s13" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fped.2025.1611345/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fped.2025.1611345/full&#x0023;supplementary-material</ext-link></p>
<supplementary-material id="SD1" content-type="local-data">
<media mimetype="application" mime-subtype="pdf" xlink:href="Datasheet1.pdf"/></supplementary-material>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr" id="ab001"><p>HIE, hypoxic ischemic encephalopathy; TH, therapeutic hypothermia; WoSCC, web of science core collection; LDA, latent Dirichlet assignment; ROS, reactive oxygen species; DNA, deoxyribonucleic acid; p75ECD-Fc, Fc fragment of human immunoglobulin IgG1; CXCL10, C-X-C motif chemokine ligand 10; MSCs, mesenchymal stem cells (MSCs); CXCR3, C-X-C motif chemokine receptor 3; NF-&#x03BA;B, nuclear factor &#x03BA;B; I&#x03BA;B, inhibitor of &#x03BA;B; MAPK, mitogen-activated protein kinase; JNK, c-Jun N-terminal kinase; ERK, extracellular-signal-regulated kinase; PI3K/AKT, phosphatidylinositol 3-kinase/protein kinase B; miRNAs, micro-RNAs; mRNAs, messenger RNAs.</p></fn>
</fn-group>
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