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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2025.1652271</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Systematic Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Mapping research landscapes: a bibliometric and visual analysis of ketogenic diet interventions in liver health (2013&#x2013;2024)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Wang</surname>
<given-names>Yinglian</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn0002"><sup>&#x2020;</sup></xref>
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<surname>Lu</surname>
<given-names>Qingliu</given-names>
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<surname>Ma</surname>
<given-names>Hailin</given-names>
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<surname>Huang</surname>
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<surname>Zhang</surname>
<given-names>Bo</given-names>
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<surname>Qin</surname>
<given-names>Yunyun</given-names>
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<surname>Feng</surname>
<given-names>Zhongwen</given-names>
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<given-names>Xuefeng</given-names>
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<aff id="aff1"><label>1</label><institution>Department of Nursing, Guangxi Academy of Medical Sciences and the People&#x2019;s Hospital of Guangxi Zhuang Autonomous Region</institution>, <city>Nanning</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Pharmacy, Guangxi Academy of Medical Sciences and the People&#x2019;s Hospital of Guangxi Zhuang Autonomous Region</institution>, <city>Nanning</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Scientific Research Center, Guilin Medical University</institution>, <city>Guilin</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Xuefeng Jin, <email xlink:href="mailto:jinxuefeng_521111@126.com">jinxuefeng_521111@126.com</email>; Zhongwen Feng, <email xlink:href="mailto:fzwgxmu@163.com">fzwgxmu@163.com</email></corresp>
<fn fn-type="equal" id="fn0002"><label>&#x2020;</label><p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-23">
<day>23</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1652271</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>20</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Wang, Lu, Ma, Huang, Zhang, Qin, Feng and Jin.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Wang, Lu, Ma, Huang, Zhang, Qin, Feng and Jin</copyright-holder>
<license>
<ali:license_ref start_date="2025-12-23">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>Bibliometric and visual analysis in the field of ketogenic diet (KD) on Liver Health from 2013 to 2024.</p>
</sec>
<sec>
<title>Methods</title>
<p>We retrieved the articles published between 2013 and 2024 from the Web of Science database and the Scopus database, and conducted the analysis using R software and VOSviewer software.</p>
</sec>
<sec>
<title>Results</title>
<p>The number of publications in this field shows an increasing trend year by year. The United States leads in the number of published articles, followed closely by China, Italy, Japan, and Canada. Notably, the United States has also excelled in international collaboration, with institutions like Sapienza University of Rome and the University of California, San Francisco, actively engaging with other global institutions. <italic>Nutrients</italic> has the highest publication frequency, while <italic>Cell Metabolism</italic> leads in citations. Key researchers such as Crawford PA and Watanabe M have emerged, with prominent keywords including obesity, Metabolic Associated Steatosis Liver Disease, NAFLD, beta-hydroxybutyrate, and low carbohydrate diet, indicating the central themes and trends in KD related Liver Health research.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>KD, a novel dietary therapy designed to induce physiological ketosis, is anticipated to achieve significant advances in liver health. Global interest in this approach is increasing, underscoring its potential as an emerging therapeutic trend. This study offers a thorough analysis of the current research landscape and key hotspots related to the KD in liver health, providing valuable insights for future investigations.</p>
</sec>
</abstract>
<kwd-group>
<kwd>bibliometric analysis</kwd>
<kwd>ketogenic diet</kwd>
<kwd>non-alcoholic fatty liver disease</kwd>
<kwd>alcoholic hepatitis</kwd>
<kwd>liver cirrhosis</kwd>
<kwd>hepatocellular carcinoma</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. Key Research and Development Program of Guangxi Zhuang Autonomous Region of China (AB25069057).</funding-statement>
</funding-group>
<counts>
<fig-count count="8"/>
<table-count count="8"/>
<equation-count count="0"/>
<ref-count count="88"/>
<page-count count="17"/>
<word-count count="12450"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Nutrition and Metabolism</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>The liver is a vital organ responsible for essential functions in digestion, metabolism, nutrient storage and release, and regulation of peroxide free radical levels. Its health is crucial for maintaining normal physiological processes, making liver diseases a major concern (<xref ref-type="bibr" rid="ref1">1</xref>). Recent research indicates that modern dietary habits and lifestyles have contributed to the rising prevalence of liver conditions such as NAFLD (<xref ref-type="bibr" rid="ref2">2</xref>), alcoholic hepatitis (ALD) (<xref ref-type="bibr" rid="ref3">3</xref>), liver cirrhosis, and hepatocellular carcinoma (HCC) (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). These liver diseases significantly impact individuals&#x2019; quality of life, pose serious health risks, and reduce longevity. NAFLD, the most common liver disorder, is closely associated with obesity, insulin resistance, and metabolic syndrome (<xref ref-type="bibr" rid="ref6">6</xref>). Although early stages of these diseases can be asymptomatic, they often progress to more severe liver damage, including cirrhosis and cancer, without timely intervention (<xref ref-type="bibr" rid="ref7">7</xref>).</p>
<p>Management of NAFLD generally focuses on lifestyle modifications, including dietary interventions that emphasize low-calorie, low-fat, high-fiber diets, and reduced sugar intake (<xref ref-type="bibr" rid="ref8">8</xref>). Approaches such as the Mediterranean diet have been advocated for their beneficial effects on liver health (<xref ref-type="bibr" rid="ref8">8</xref>). Pharmacological treatments, including insulin sensitizers like metformin (<xref ref-type="bibr" rid="ref9">9</xref>), vitamin E (<xref ref-type="bibr" rid="ref10">10</xref>), and emerging anti-obesity agents like glucagon-like peptide-1 (GLP-1) agonists and sodium-glucose cotransporter-2 (SGLT-2) inhibitors (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref12">12</xref>), can also be used to address metabolic disturbances. In addition, aerobic exercise and weight management play a crucial role in improving liver function (<xref ref-type="bibr" rid="ref13">13</xref>). However, long-term adherence to these lifestyle changes remains challenging for many patients, and liver health improvements often take time to manifest. For ALD, the primary treatment is complete abstinence from alcohol, which helps reduce oxidative stress and inflammation, thereby improving liver function (<xref ref-type="bibr" rid="ref14">14</xref>). Pharmacological interventions, including corticosteroids and antioxidants such as N-acetylcysteine, may complement this approach, but not all patients respond favorably, and potential side effects must be considered (<xref ref-type="bibr" rid="ref15">15</xref>).</p>
<p>In early-stage cirrhosis, the treatment is primarily supportive, focusing on symptom management and monitoring of liver function (<xref ref-type="bibr" rid="ref16">16</xref>). Diuretics for ascites, beta-blockers to reduce the risk of esophageal variceal bleeding, and antiviral therapies for hepatitis B and C are commonly employed (<xref ref-type="bibr" rid="ref17 ref18 ref19">17&#x2013;19</xref>). However, the progression of cirrhosis remains largely irreversible, with current treatments mainly aiming at disease management rather than a cure (<xref ref-type="bibr" rid="ref20">20</xref>). HCC, a leading cause of liver-related deaths, remains a major therapeutic challenge (<xref ref-type="bibr" rid="ref21">21</xref>). Treatment options include targeted therapy and immunotherapy, with first-line drugs such as sorafenib and lenvatinib demonstrating inhibitory effects on tumor growth (<xref ref-type="bibr" rid="ref22">22</xref>). However, these treatments can lead to drug resistance over time, limiting their effectiveness. Immunotherapy, which aims to harness the body&#x2019;s immune system to fight cancer, faces challenges related to immune escape mechanisms in tumor cells (<xref ref-type="bibr" rid="ref23">23</xref>). As a result, the development of new therapeutic strategies is essential to improve liver disease outcomes.</p>
<p>The ketogenic diet (KD), characterized by high-fat, moderate-protein, and low-carbohydrate intake, induces a metabolic state known as ketosis (<xref ref-type="bibr" rid="ref24">24</xref>). Ketosis has gained attention for its potential benefits, particularly in the context of liver health. The KD reduces carbohydrate intake, lowering blood sugar levels and improving insulin sensitivity, which in turn can reduce insulin secretion (<xref ref-type="bibr" rid="ref25">25</xref>). This reduction in insulin has a positive effect on liver fat metabolism, helping to prevent fat accumulation and manage fatty liver disease (<xref ref-type="bibr" rid="ref26">26</xref>). Furthermore, research suggests that the KD influences liver lipid metabolism and reduces oxidative stress (<xref ref-type="bibr" rid="ref27">27</xref>). Ketones produced during ketosis may protect liver cells by modulating insulin signaling pathways and enhancing mitochondrial oxygen metabolism, potentially alleviating oxidative damage in early-stage cirrhosis (<xref ref-type="bibr" rid="ref28">28</xref>). This metabolic shift may also help prevent the progression from fatty liver to liver fibrosis. Additionally, the KD has shown promise in cancer treatment by inhibiting the Warburg effect in tumor cells (<xref ref-type="bibr" rid="ref29">29</xref>). It reduces oxidative stress in normal cells while intensifying it in tumor cells, thereby promoting their apoptosis and autophagy (<xref ref-type="bibr" rid="ref30">30</xref>). Furthermore, microRNAs (miRNAs) can serve as biomarkers of specific liver damage and have a significant impact on liver health (<xref ref-type="bibr" rid="ref31">31</xref>). The ketogenic diet can interfere with the function of specific miRNAs and reshape the body (<xref ref-type="bibr" rid="ref32">32</xref>). However, while these results are promising, current research lacks a comprehensive analysis of the KD&#x2019;s full impact on liver health, making it difficult to draw clear conclusions about its long-term effectiveness and optimal application in clinical settings.</p>
<p>Bibliometric analysis is a powerful tool for visualizing trends and relationships in scientific research by quantitatively assessing large bodies of published work (<xref ref-type="bibr" rid="ref33">33</xref>). This method can help identify key authors, institutions, countries, and collaborative networks within a particular field. By analyzing the literature on the KD&#x2019;s role in liver health from 2013 to 2024, the present study aims to fill the gap in the current literature by providing a comprehensive overview of research trends, hotspots, and emerging areas of interest. This analysis will allow researchers to better understand the progression of knowledge in this field and identify key knowledge gaps. Using tools such as VOSviewer, R software, and CiteSpace, this study will visually map the evolution of research on the KD and liver health, helping to pinpoint critical knowledge advancements and areas that require further investigation. The findings will provide valuable insights into the future direction of research, fostering interdisciplinary collaboration and helping guide new therapeutic strategies in the field of liver health and dietary interventions.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Literature sources and retrieval strategies</title>
<p>On July 21, 2024, retrievals were conducted, respectively, in the Web of Science Core Collection (WoSCC) and Scopus databases. The search strategies of WoSCC and Scopus database can be found in <xref rid="SM1" ref-type="supplementary-material">Supplementary material 1</xref>. The inclusion and exclusion criteria of the literature in this study were strictly set according to the search formula. The retrieved literatures in WoSCC were saved in plain text format and exported as complete records, including cited references. The retrieved literatures in Scopus were saved in csv format and exported as complete records, including cited references. With the help of Excel software, we achieve the goal of eliminating duplicate literature by excluding the same DOI numbers. Considering that merging data generated from different databases would lead to a large amount of data loss. For instance, citation data will be impossible to analyze. Therefore, to ensure the integrity of the data, we will analyze different databases separately. After obtaining the analysis results from different databases, we conduct a comprehensive analysis to identify the research hotspots in this field.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Date analysis</title>
<p>Given the discrepancies in data formats between the WoSCC and Scopus databases, combining them would lead to data loss. As such, we will conduct separate analyses on the data from each database to achieve more reliable outcomes. Moreover, it should be noted that, considering the high-quality nature of the literature included in WoSCC, our primary focus for subsequent analysis will be on the data from WoSCC. The analysis results of the Scopus database, including annual publication trends and keyword clustering, will be provided in the <xref rid="SM1" ref-type="supplementary-material">Supplementary materials</xref>.</p>
<p>To analyze the annual publications, Origin 2018 was used. Additionally, the bibliometrix package of R software (version 4.3.1), VOSviewer (version 1.6.18), and CiteSpace (version 6.3.1.0) were employed to visually analyze data and draw scientific knowledge maps.</p>
<p>The VOSviewer software was employed to create visualizations of national collaboration networks, source co-citation analysis, and keyword co-occurrence. The specific parameters utilized in the VOSviewer analysis can be located in <xref rid="SM1" ref-type="supplementary-material">Supplementary material 2</xref>. Additionally, the Impact Factors (IF) of the journals were obtained from the 2023 Journal Citation Reports (JCR).</p>
</sec>
</sec>
<sec sec-type="results" id="sec5">
<label>3</label>
<title>Results</title>
<sec id="sec6">
<label>3.1</label>
<title>General landscapes of included documents on KD on liver health</title>
<p>The total number of unique documents retrieved from WoSCC is 561. In <xref ref-type="fig" rid="fig1">Figure 1A</xref>, from 2013 to 2024, the number of publications in this field shows a general upward trend. Notably, between 2019 and 2022, the rate of increase was particularly steep. The highest number of publications occurred in 2023, with a total of 81. Additionally, as of July 21, 2024, there have already been 34 publications, further contributing to the growing body of literature in this area. A total of 1,402 unique records were collected from Scopus database, with duplicates removed. The growth trend of publications is consistent with that of WoSCC (<xref rid="SM1" ref-type="supplementary-material">Supplementary Figure S1</xref>). This suggests a rising interest in the topic of KD for liver health in recent years.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Trends in annual publication outputs in the field of KD in liver health from 2013 to 2024. <bold>(A)</bold> Trends of annual publication outputs. <bold>(B)</bold> Showcases the distribution of countries and collaborative efforts among corresponding authors.</p>
</caption>
<graphic xlink:href="fnut-12-1652271-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Graph A shows the number of publications per year from 2012 to 2024, starting at 30 and peaking at 81 in 2023. It has a sharp drop to 34 in 2024. Graph B is a horizontal bar chart listing the most productive countries in terms of research documents. The USA leads, followed by China, Italy, and Japan. Bars are divided by collaboration type: SCP for single-country publications and MCP for multi-country publications.</alt-text>
</graphic>
</fig>
<p>The top five countries in this field are the United States with (<italic>n</italic>&#x202F;=&#x202F;145), China (<italic>n</italic>&#x202F;=&#x202F;84), Italy (<italic>n</italic>&#x202F;=&#x202F;47), Japan (<italic>n</italic>&#x202F;=&#x202F;46), and Canada (<italic>n</italic>&#x202F;=&#x202F;23). Among them, the United States has published the most papers, indicating its leading position and significant contributions in this field. Furthermore, among the top 10 countries in this field, Norway (64.00%) and France (54.00%) have the highest proportion of multiple country publications (MCPs). This suggests a strong emphasis on international collaboration and academic exchange within these two countries. Conversely, Japan (11.00%) and South Korea (14.00%), indicating a greater focus on local originality in their research endeavors (<xref ref-type="fig" rid="fig1">Figure 1B</xref>; <xref ref-type="table" rid="tab1">Table 1</xref>). Furthermore, <xref ref-type="fig" rid="fig2">Figure 2A</xref> shows that the United States is the cooperation center in this field. It indicates that the United States plays an important role in promoting the development of this field. Of the top 10 published research institutions, five are from US, two from France, and one each from China and Italy. The Sapienza University Rome, an Italian institution, published the most papers (<italic>n</italic>&#x202F;=&#x202F;11), following behind are two American institutions Washington University (<italic>n</italic>&#x202F;=&#x202F;10), and California San Franciso University (<italic>n</italic>&#x202F;=&#x202F;9). This indicates that the field remains in its nascent stages (<xref ref-type="fig" rid="fig2">Figure 2B</xref>; <xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Most relevant countries by corresponding authors of KD on liver health.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Country</th>
<th align="center" valign="top">Articles</th>
<th align="center" valign="top">SCP</th>
<th align="center" valign="top">MCP</th>
<th align="center" valign="top">Freq (%)</th>
<th align="center" valign="top">MCP_ratio (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">USA</td>
<td align="center" valign="middle">145</td>
<td align="center" valign="middle">106</td>
<td align="center" valign="middle">39</td>
<td align="center" valign="middle">26%</td>
<td align="center" valign="middle">27%</td>
</tr>
<tr>
<td align="left" valign="middle">China</td>
<td align="center" valign="middle">84</td>
<td align="center" valign="middle">70</td>
<td align="center" valign="middle">14</td>
<td align="center" valign="middle">15%</td>
<td align="center" valign="middle">17%</td>
</tr>
<tr>
<td align="left" valign="middle">Italy</td>
<td align="center" valign="middle">47</td>
<td align="center" valign="middle">37</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">8%</td>
<td align="center" valign="middle">21%</td>
</tr>
<tr>
<td align="left" valign="middle">Japan</td>
<td align="center" valign="middle">46</td>
<td align="center" valign="middle">41</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">8%</td>
<td align="center" valign="middle">11%</td>
</tr>
<tr>
<td align="left" valign="middle">Canada</td>
<td align="center" valign="middle">23</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">4%</td>
<td align="center" valign="middle">44%</td>
</tr>
<tr>
<td align="left" valign="middle">Germany</td>
<td align="center" valign="middle">17</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">3%</td>
<td align="center" valign="middle">41%</td>
</tr>
<tr>
<td align="left" valign="middle">Spain</td>
<td align="center" valign="middle">16</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">3%</td>
<td align="center" valign="middle">38%</td>
</tr>
<tr>
<td align="left" valign="middle">Korea</td>
<td align="center" valign="middle">14</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">3%</td>
<td align="center" valign="middle">14%</td>
</tr>
<tr>
<td align="left" valign="middle">France</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">2%</td>
<td align="center" valign="middle">54%</td>
</tr>
<tr>
<td align="left" valign="middle">Netherlands</td>
<td align="center" valign="middle">11</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">2%</td>
<td align="center" valign="middle">64%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Multiple-country publication (MCP); Single-country publication (SCP).</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>The map of countries and institutions in the field of KD in liver health from 2013 to 2024.</p>
</caption>
<graphic xlink:href="fnut-12-1652271-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Two network visualizations display collaborations. Image A visualizes international collaborations between countries like the USA, China, Germany, and others, showing interconnectedness with colored lines. Image B focuses on collaborative networks between universities such as the University of California San Francisco, Sapienza University of Rome, and others, again using a color-coded network. Both diagrams are created using VOSviewer and emphasize dense connections in academic collaborations.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Top 10 most relevant affiliations of KD on liver health.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Rank</th>
<th align="left" valign="top">Affiliation</th>
<th align="left" valign="top">Country</th>
<th align="center" valign="top">Articles (<italic>n</italic>)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="left" valign="middle">Sapienza University Rome</td>
<td align="left" valign="top">Italy</td>
<td align="center" valign="middle">11</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="left" valign="middle">Washington University</td>
<td align="left" valign="top">USA</td>
<td align="center" valign="middle">10</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="left" valign="middle">California San Franciso University</td>
<td align="left" valign="top">USA</td>
<td align="center" valign="middle">9</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="left" valign="middle">Harvard Medical School</td>
<td align="left" valign="top">USA</td>
<td align="center" valign="middle">8</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="left" valign="middle">Helsinki University</td>
<td align="left" valign="top">Finland</td>
<td align="center" valign="middle">8</td>
</tr>
<tr>
<td align="left" valign="middle">6</td>
<td align="left" valign="middle">Minnesota University</td>
<td align="left" valign="top">USA</td>
<td align="center" valign="middle">8</td>
</tr>
<tr>
<td align="left" valign="middle">7</td>
<td align="left" valign="middle">Calgary University</td>
<td align="left" valign="top">Canada</td>
<td align="center" valign="middle">7</td>
</tr>
<tr>
<td align="left" valign="middle">8</td>
<td align="left" valign="middle">Inserm</td>
<td align="left" valign="top">France</td>
<td align="center" valign="middle">7</td>
</tr>
<tr>
<td align="left" valign="middle">9</td>
<td align="left" valign="middle">Oxford University</td>
<td align="left" valign="top">United Kingdom</td>
<td align="center" valign="middle">7</td>
</tr>
<tr>
<td align="left" valign="middle">10</td>
<td align="left" valign="middle">Shanghai Jiao Tong University</td>
<td align="left" valign="top">China</td>
<td align="center" valign="middle">7</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec7">
<label>3.2</label>
<title>Journals and co-cited journals</title>
<p>The most cited articles and journals in this field were analyzed using the bibliometrix and ggplot2 packages in R software (4.22.17675.0).</p>
<p>In addition, VOSviewer (version 1.6.18.0) was used for co-citation journal analysis. The results showed that a total of 561 papers were published in 292 academic journals (<xref ref-type="table" rid="tab3">Table 3</xref>). <xref ref-type="fig" rid="fig3">Figure 3A</xref> shows that the journal with the highest citation frequency is <italic>Cell Metabolism</italic> (<italic>n</italic>&#x202F;=&#x202F;1,262, IF&#x202F;=&#x202F;27.7), followed by <italic>Nutrients</italic> (<italic>n</italic>&#x202F;=&#x202F;1,038, IF&#x202F;=&#x202F;4.8), <italic>Plos On</italic>e (<italic>n</italic>&#x202F;=&#x202F;717, IF&#x202F;=&#x202F;2.9), <italic>Trends in Endocrinology and Metabolism</italic> (<italic>n</italic>&#x202F;=&#x202F;635, IF&#x202F;=&#x202F;11.4) and <italic>Journal of Clinical Investigation</italic> (<italic>n</italic>&#x202F;=&#x202F;632, IF&#x202F;=&#x202F;13.3). <xref ref-type="table" rid="tab4">Table 4</xref> and <xref ref-type="fig" rid="fig3">Figure 3B</xref> shows that the most published papers are <italic>Nutrients</italic> (<italic>n</italic>&#x202F;=&#x202F;47, IF&#x202F;=&#x202F;4.8), followed by <italic>Plos One</italic> (<italic>n</italic>&#x202F;=&#x202F;15, IF&#x202F;=&#x202F;2.9), <italic>Scientific Reports</italic> (<italic>n</italic>&#x202F;=&#x202F;14, I&#x202F;=&#x202F;3.8), <italic>Frontiers In Nutrition</italic> (<italic>n</italic>&#x202F;=&#x202F;11, IF&#x202F;=&#x202F;4) and <italic>Frontiers In Physiology</italic> (<italic>n</italic>&#x202F;=&#x202F;10, IF&#x202F;=&#x202F;3.2). The co-citation journal map shows that <italic>Nutrients</italic>, <italic>Plos One</italic>, <italic>Scientific Reports</italic>, <italic>Frontiers in Physiology</italic> and <italic>Frontiers In Nutrition</italic> are representative centers of collaboration (<xref ref-type="fig" rid="fig4">Figure 4</xref>). These findings indicate that the 10 journals listed above have high influence in the field of liver health in KD. Additionally, the data reveal that the number of publications in highly cited journals remains relatively small, and citation intensity in journals with a larger volume of publications is limited. This suggests that research in this field needs to enhance both its breadth and depth.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Top 10 journals with the most cited journals.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Rank</th>
<th align="left" valign="top">Journal</th>
<th align="center" valign="top">ISSN</th>
<th align="center" valign="top">Cites</th>
<th align="center" valign="top">Articles</th>
<th align="center" valign="top">IF (2023)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="left" valign="middle">Cell Metabolism</td>
<td align="center" valign="top">1,550&#x2013;4,131</td>
<td align="center" valign="middle">1,262</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">27.7</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="left" valign="middle">Nutrients</td>
<td align="center" valign="top">2072&#x2013;6,643</td>
<td align="center" valign="middle">1,038</td>
<td align="center" valign="middle">47</td>
<td align="center" valign="middle">4.8</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="left" valign="middle">Plos One</td>
<td align="center" valign="top">1932&#x2013;6,203</td>
<td align="center" valign="middle">717</td>
<td align="center" valign="middle">15</td>
<td align="center" valign="middle">2.9</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="left" valign="middle">Trends in Endocrinology and Metabolism</td>
<td align="center" valign="top">1,043&#x2013;2,760</td>
<td align="center" valign="middle">635</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">11.4</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="left" valign="middle">Journal of Clinical Investigation</td>
<td align="center" valign="top">0021&#x2013;9,738</td>
<td align="center" valign="middle">632</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">13.3</td>
</tr>
<tr>
<td align="left" valign="middle">6</td>
<td align="left" valign="middle">Annual Review of Physiology</td>
<td align="center" valign="top">0066&#x2013;4,278</td>
<td align="center" valign="middle">572</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">15.7</td>
</tr>
<tr>
<td align="left" valign="middle">7</td>
<td align="left" valign="middle">Nature Reviews Drug Discovery</td>
<td align="center" valign="top">1,474&#x2013;1776</td>
<td align="center" valign="middle">437</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">122.7</td>
</tr>
<tr>
<td align="left" valign="middle">8</td>
<td align="left" valign="middle">Nature</td>
<td align="center" valign="top">0028&#x2013;0836</td>
<td align="center" valign="middle">424</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">50.5</td>
</tr>
<tr>
<td align="left" valign="middle">9</td>
<td align="left" valign="middle">Annual Review of Nutrition</td>
<td align="center" valign="top">0199&#x2013;9,885</td>
<td align="center" valign="middle">415</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">12.6</td>
</tr>
<tr>
<td align="left" valign="middle">10</td>
<td align="left" valign="middle">Scientific Reports</td>
<td align="center" valign="top">2045&#x2013;2,322</td>
<td align="center" valign="middle">395</td>
<td align="center" valign="middle">14</td>
<td align="center" valign="middle">3.8</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>The journal with the largest number of articles published and the journal with the largest number of citations. <bold>(A)</bold> The journal with the highest count of published documents. <bold>(B)</bold> The journals with the highest count of citations.</p>
</caption>
<graphic xlink:href="fnut-12-1652271-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Two bubble charts comparing journals based on citations and publications. Chart A shows journals with the most citations, with 'Cell Metabolism' having the largest bubble. Chart B depicts journals with the most published articles, with 'Nutrients' having the largest bubble. The size of the bubbles represents the number of citations or articles, while the color gradient indicates the impact factor, ranging from blue to red.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Top 10 journals with the most published articles.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Rank</th>
<th align="left" valign="top">Journal</th>
<th align="center" valign="top">ISSN</th>
<th align="center" valign="top">Articles</th>
<th align="center" valign="top">Cites</th>
<th align="center" valign="top">IF (2023)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="left" valign="middle">Nutrients</td>
<td align="center" valign="top">2072&#x2013;6,643</td>
<td align="center" valign="middle">47</td>
<td align="center" valign="middle">617</td>
<td align="center" valign="middle">4.8</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="left" valign="middle">Plos One</td>
<td align="center" valign="top">1932&#x2013;6,203</td>
<td align="center" valign="middle">15</td>
<td align="center" valign="middle">527</td>
<td align="center" valign="middle">2.9</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="left" valign="middle">Scientific Reports</td>
<td align="center" valign="top">2045&#x2013;2,322</td>
<td align="center" valign="middle">14</td>
<td align="center" valign="middle">395</td>
<td align="center" valign="middle">3.8</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="left" valign="middle">Frontiers in Nutrition</td>
<td align="center" valign="top">2,296-861X</td>
<td align="center" valign="middle">11</td>
<td align="center" valign="middle">82</td>
<td align="center" valign="middle">4</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="left" valign="middle">Frontiers in Physiology</td>
<td align="center" valign="top">1,664-042X</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">87</td>
<td align="center" valign="middle">3.2</td>
</tr>
<tr>
<td align="left" valign="middle">6</td>
<td align="left" valign="middle">Metabolites</td>
<td align="center" valign="top">2,218&#x2013;1989</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">28</td>
<td align="center" valign="middle">3.4</td>
</tr>
<tr>
<td align="left" valign="middle">7</td>
<td align="left" valign="middle">Molecular Metabolism</td>
<td align="center" valign="top">2,212&#x2013;8,778</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">195</td>
<td align="center" valign="middle">7</td>
</tr>
<tr>
<td align="left" valign="middle">8</td>
<td align="left" valign="middle">International Journal of Molecular Sciences</td>
<td align="center" valign="top">1,422&#x2013;0067</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">140</td>
<td align="center" valign="middle">4.9</td>
</tr>
<tr>
<td align="left" valign="middle">9</td>
<td align="left" valign="middle">Journal of Biological Chemistry</td>
<td align="center" valign="top">0021&#x2013;9,258</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">896</td>
<td align="center" valign="middle">4</td>
</tr>
<tr>
<td align="left" valign="middle">10</td>
<td align="left" valign="middle">Journal of Inherited Metabolic Disease</td>
<td align="center" valign="top">0141&#x2013;8,955</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">150</td>
<td align="center" valign="middle">4.2</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Co-cited journals involved in the field of the field of KD in liver health.</p>
</caption>
<graphic xlink:href="fnut-12-1652271-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Network visualization displays interconnected nodes representing academic journals. Larger nodes indicate higher connection volume, with "Nutrients" at the center. Colored clusters denote groups: blue, red, green, and yellow, showing thematic relationships.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec8">
<label>3.3</label>
<title>Author and co-author</title>
<p><xref ref-type="table" rid="tab5">Table 5</xref> lists the top 10 authors in terms of the number of published papers. Among them, the top five are Crawford Pa (<italic>n</italic>&#x202F;=&#x202F;12), Maratos-Flier E (<italic>n</italic>&#x202F;=&#x202F;9), Watanabe M (<italic>n</italic>&#x202F;=&#x202F;8), Gnessi L (<italic>n</italic>&#x202F;=&#x202F;7) and Li J (<italic>n</italic>&#x202F;=&#x202F;7). In <xref ref-type="table" rid="tab6">Table 6</xref>, we list the top 10 authors who have been cited the most in the literature. The top five authors with the most citations are Crawford Pa (<italic>n</italic>&#x202F;=&#x202F;174), Puchalska P (<italic>n</italic>&#x202F;=&#x202F;113), Watanabe M (<italic>n</italic>&#x202F;=&#x202F;78), Newman Jc (<italic>n</italic>&#x202F;=&#x202F;74), and Verdin E (<italic>n</italic>&#x202F;=&#x202F;74). The number of papers published reflects the research productivity of the author to a certain extent, while the number of citations reflects the influence of the author. It is noteworthy that seven researchers, namely Crawford Pa, Watanabe M, Gnessi L, D&#x2019;Avignon Da, Lubrano C, Mariani S, and Puchalska P, have all appeared in the top 10 in terms of both the number of published papers and the number of citations. This underlines their significant contribution to the field and their status as the most influential authors in the field. It is noteworthy that most of these authors come from the United States and Italy, which highlights the importance and influence of researchers from these two countries in this field. Furthermore, our network map of co-authors (<xref ref-type="fig" rid="fig5">Figure 5</xref>) shows a wide and close collaboration among authors, with Crawford Pa, Watanabe M, Gnessi L, D&#x2019;Avignon Da, Lubrano C, Mariani S, and Puchalska P being the representative centers of collaboration, a finding that highlights their profound influence on the field.</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Top 10 documents authors related to KD in liver health.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Rank</th>
<th align="left" valign="top">Author</th>
<th align="center" valign="top">Documents</th>
<th align="center" valign="top">Citations</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="left" valign="middle">Crawford Pa</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">174</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="left" valign="middle">Maratos-Flier E</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">59</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="left" valign="middle">Watanabe M</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">78</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="left" valign="middle">Gnessi L</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">69</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="left" valign="middle">Li J</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">12</td>
</tr>
<tr>
<td align="left" valign="middle">6</td>
<td align="left" valign="middle">D&#x2019;Avignon Da</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">72</td>
</tr>
<tr>
<td align="left" valign="middle">7</td>
<td align="left" valign="middle">Liu Y</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">19</td>
</tr>
<tr>
<td align="left" valign="middle">8</td>
<td align="left" valign="middle">Lubrano C</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">69</td>
</tr>
<tr>
<td align="left" valign="middle">9</td>
<td align="left" valign="middle">Mariani S</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">69</td>
</tr>
<tr>
<td align="left" valign="middle">10</td>
<td align="left" valign="middle">Puchalska P</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">113</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>Top 10 citations authors related to KD in liver health.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Rank</th>
<th align="left" valign="top">Author</th>
<th align="center" valign="top">Citations</th>
<th align="center" valign="top">Documents</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="left" valign="middle">Crawford Pa</td>
<td align="center" valign="middle">174</td>
<td align="center" valign="middle">12</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="left" valign="middle">Puchalska P</td>
<td align="center" valign="middle">113</td>
<td align="center" valign="middle">6</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="left" valign="middle">Watanabe M</td>
<td align="center" valign="middle">78</td>
<td align="center" valign="middle">8</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="left" valign="middle">Newman Jc</td>
<td align="center" valign="middle">74</td>
<td align="center" valign="middle">3</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="left" valign="middle">Verdin E</td>
<td align="center" valign="middle">74</td>
<td align="center" valign="middle">4</td>
</tr>
<tr>
<td align="left" valign="middle">6</td>
<td align="left" valign="middle">D&#x2019;Avignon Da</td>
<td align="center" valign="middle">72</td>
<td align="center" valign="middle">6</td>
</tr>
<tr>
<td align="left" valign="middle">7</td>
<td align="left" valign="middle">Basciani S</td>
<td align="center" valign="middle">69</td>
<td align="center" valign="middle">5</td>
</tr>
<tr>
<td align="left" valign="middle">8</td>
<td align="left" valign="middle">Gnessi L</td>
<td align="center" valign="middle">69</td>
<td align="center" valign="middle">7</td>
</tr>
<tr>
<td align="left" valign="middle">9</td>
<td align="left" valign="middle">Lubrano C</td>
<td align="center" valign="middle">69</td>
<td align="center" valign="middle">6</td>
</tr>
<tr>
<td align="left" valign="middle">10</td>
<td align="left" valign="middle">Mariani S</td>
<td align="center" valign="middle">69</td>
<td align="center" valign="middle">6</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>The map of co-authorship in the field of the field of KD in liver health from 2013 to 2024.</p>
</caption>
<graphic xlink:href="fnut-12-1652271-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Network visualization showing connections between various researchers using nodes and edges, represented in different colors. Red, green, blue, and yellow clusters denote groups with dense interconnections. Central nodes include Puchalska P, Crawford Pa, and Watanabe M, indicating high connectivity. Labeled nodes represent individual researchers. Created using VOSviewer.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec9">
<label>3.4</label>
<title>Most cited references and reference burst</title>
<p>We identified the top 25 most cited literature in the KD in Liver Health field using the bibliometrix package of R software (<xref ref-type="table" rid="tab7">Table 7</xref>). We found that these literatures have been cited over 120 times, each from 21 different journals, indicating that further research is needed in this field in the future. It is worth noting that among the top 25 references, the journal <italic>Cell Metabolism</italic> has the most but only three articles, which to some extent indicates that the journal <italic>Cell Metabolism</italic> also has a certain influence in this field. However, unfortunately, there is still no dominant journal overall. The top three cited references are &#x201C;<italic>Multi-dimensional Roles of Ketone Bodies in Fuel Metabolism, Signaling, and Therapeutics</italic>&#x201D;; &#x201C;<italic>Ketone bodies as signaling metabolites</italic> &#x201C;and&#x201D; <italic>Understanding the Physiology of FGF21</italic> &#x201C;. However, upon careful examination, we found that these articles only provided a general overview of KD in Liver Health. To determine the most important citation bursts in the KD in Liver Health field, we used CiteSpace (selection criteria: top 25; status number: 2; minimum duration: 2) to obtain a total of 36 articles with the strongest citation highlights, of which 25 are shown in <xref ref-type="fig" rid="fig6">Figure 6</xref>. Among them, &#x201C;<italic>Multidimensional Roles of Ketone Bodies in Fuel Metabolism, Signaling, and Therapeutics</italic>&#x201D; (Strength: 11.67), &#x201C;<italic>Hepatic Steam, Inflammation, and ER stress in small maintained long term on a very low carbohydrate ketogenic diet</italic>&#x201D; (Strength: 7.2), and &#x201C;<italic>Ketone Bodies as Signaling Metabolism</italic>&#x201D; (Strength: 6.99) are the top three most cited articles, and interestingly, the most cutting-edge citation explosion are also these three articles. To further understand the research frontiers and hotspots in KD for liver health, we matched the DOIs of the 25 citations in <xref ref-type="fig" rid="fig6">Figure 6</xref> with their titles. Our analysis of highly cited literature reveals that KD has garnered significant attention as a novel dietary therapy due to increasing focus on liver health. However, despite its short-term benefits for certain liver conditions, there is a lack of long-term experimental data on its potential safety risks. Hence, more in-depth research is necessary in this area.</p>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption>
<p>Top 25 cited references related to KD in liver health.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Paper</th>
<th align="left" valign="top">DOI</th>
<th align="center" valign="top">Total citations</th>
<th align="center" valign="top">TC per Year</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Puchalska P, 2017, Cell Metab</td>
<td align="left" valign="middle">10.1016/j.cmet.2016.12.022</td>
<td align="center" valign="middle">888</td>
<td align="center" valign="middle">111</td>
</tr>
<tr>
<td align="left" valign="middle">Newman Jc, 2014, Trends Endocrin Met</td>
<td align="left" valign="middle">10.1016/j.tem.2013.09.002</td>
<td align="center" valign="middle">634</td>
<td align="center" valign="middle">57.64</td>
</tr>
<tr>
<td align="left" valign="middle">Fisher Fm, 2016, Annu Rev. Physiol</td>
<td align="left" valign="middle">10.1146/annurev-physiol-021115-105339</td>
<td align="center" valign="middle">572</td>
<td align="center" valign="middle">63.56</td>
</tr>
<tr>
<td align="left" valign="middle">Cunnane Sc, 2020, Nat Rev. Drug Discov</td>
<td align="left" valign="middle">10.1038/s41573-020-0072-x</td>
<td align="center" valign="middle">437</td>
<td align="center" valign="middle">87.4</td>
</tr>
<tr>
<td align="left" valign="middle">Hopkins Bd, 2018, Nature</td>
<td align="left" valign="middle">10.1038/s41586-018-0343-4</td>
<td align="center" valign="middle">424</td>
<td align="center" valign="middle">60.57</td>
</tr>
<tr>
<td align="left" valign="middle">Laeger T, 2014, J Clin Invest</td>
<td align="left" valign="middle">10.1172/JCI74915</td>
<td align="center" valign="middle">416</td>
<td align="center" valign="middle">37.82</td>
</tr>
<tr>
<td align="left" valign="middle">Newman Jc, 2017, Annu Rev. Nutr</td>
<td align="left" valign="middle">10.1146/annurev-nutr-071816-064916</td>
<td align="center" valign="middle">415</td>
<td align="center" valign="middle">51.88</td>
</tr>
<tr>
<td align="left" valign="middle">Ballestri S, 2017, Adv Ther</td>
<td align="left" valign="middle">10.1007/s12325-017-0556-1</td>
<td align="center" valign="middle">349</td>
<td align="center" valign="middle">43.63</td>
</tr>
<tr>
<td align="left" valign="middle">Stefan N, 2021, Nat Rev. Endocrinol</td>
<td align="left" valign="middle">10.1038/s41574-020-00462-1</td>
<td align="center" valign="middle">289</td>
<td align="center" valign="middle">72.25</td>
</tr>
<tr>
<td align="left" valign="middle">Kim Kh, 2013, Plos One</td>
<td align="left" valign="middle">10.1371/journal.pone.0063517</td>
<td align="center" valign="middle">224</td>
<td align="center" valign="middle">18.67</td>
</tr>
<tr>
<td align="left" valign="middle">Hallberg Sj, 2018, Diabetes Ther</td>
<td align="left" valign="middle">10.1007/s13300-018-0373-9</td>
<td align="center" valign="middle">216</td>
<td align="center" valign="middle">30.86</td>
</tr>
<tr>
<td align="left" valign="middle">De Lorenzo A, 2019, J Transl Med</td>
<td align="left" valign="middle">10.1186/s12967-019-1919-y</td>
<td align="center" valign="middle">182</td>
<td align="center" valign="middle">30.33</td>
</tr>
<tr>
<td align="left" valign="middle">Dushay Jr., 2015, Mol Metab</td>
<td align="left" valign="middle">10.1016/j.molmet.2014.09.008</td>
<td align="center" valign="middle">172</td>
<td align="center" valign="middle">17.2</td>
</tr>
<tr>
<td align="left" valign="middle">Athinarayanan Sj, 2019, Front Endocrinol</td>
<td align="left" valign="middle">10.3389/fendo.2019.00348</td>
<td align="center" valign="middle">172</td>
<td align="center" valign="middle">28.67</td>
</tr>
<tr>
<td align="left" valign="middle">Cotter Dg, 2014, J Clin Invest</td>
<td align="left" valign="middle">10.1172/JCI76388</td>
<td align="center" valign="middle">147</td>
<td align="center" valign="middle">13.36</td>
</tr>
<tr>
<td align="left" valign="middle">Fukao T, 2014, J Inherit Metab Dis</td>
<td align="left" valign="middle">10.1007/s10545-014-9704-9</td>
<td align="center" valign="middle">144</td>
<td align="center" valign="middle">13.09</td>
</tr>
<tr>
<td align="left" valign="middle">Dittenhafer-Reed Ke, 2015, Cell Metab</td>
<td align="left" valign="middle">10.1016/j.cmet.2015.03.007</td>
<td align="center" valign="middle">144</td>
<td align="center" valign="middle">14.4</td>
</tr>
<tr>
<td align="left" valign="middle">Chriett S, 2019, Sci Rep-Uk</td>
<td align="left" valign="middle">10.1038/s41598-018-36941-9</td>
<td align="center" valign="middle">138</td>
<td align="center" valign="middle">23</td>
</tr>
<tr>
<td align="left" valign="middle">Castellana M, 2020, Rev. Endocr Metab Dis</td>
<td align="left" valign="middle">10.1007/s11154-019-09514-y</td>
<td align="center" valign="middle">136</td>
<td align="center" valign="middle">27.2</td>
</tr>
<tr>
<td align="left" valign="middle">Shao Ml, 2014, Nat Commun</td>
<td align="left" valign="middle">10.1038/ncomms4528</td>
<td align="center" valign="middle">136</td>
<td align="center" valign="middle">12.36</td>
</tr>
<tr>
<td align="left" valign="middle">Luukkonen Pk, 2020, P Natl Acad Sci USA</td>
<td align="left" valign="middle">10.1073/pnas.1922344117</td>
<td align="center" valign="middle">134</td>
<td align="center" valign="middle">26.8</td>
</tr>
<tr>
<td align="left" valign="middle">Tognini P, 2017, Cell Metab</td>
<td align="left" valign="middle">10.1016/j.cmet.2017.08.015</td>
<td align="center" valign="middle">128</td>
<td align="center" valign="middle">16</td>
</tr>
<tr>
<td align="left" valign="middle">Kosinski C, 2017, Nutrients</td>
<td align="left" valign="middle">10.3390/nu9050517</td>
<td align="center" valign="middle">124</td>
<td align="center" valign="middle">15.5</td>
</tr>
<tr>
<td align="left" valign="middle">Ruskin Dn, 2013, Plos One</td>
<td align="left" valign="middle">10.1371/journal.pone.0065021</td>
<td align="center" valign="middle">121</td>
<td align="center" valign="middle">10.08</td>
</tr>
<tr>
<td align="left" valign="middle">Bae Hr, 2016, Oncotarget</td>
<td align="left" valign="middle">10.18632/oncotarget.12119</td>
<td align="center" valign="middle">121</td>
<td align="center" valign="middle">13.44</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Top 25 references with the strongest citation bursts on the field of KD in liver health.</p>
</caption>
<graphic xlink:href="fnut-12-1652271-g006.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Chart displays the top 25 references with the strongest citation bursts from 2013 to 2024. It includes references, years, burst strengths, and timelines. Key references like Garbow JR (2011) and Kossoff Eric H, 2018 exhibit varied burst strengths and durations, illustrated by red and blue bars reflecting different citation periods.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec10">
<label>3.5</label>
<title>Keyword clusters and evolution</title>
<p>Keyword clustering is an effective method for identifying research hotspots and trends in a field. In this study, 88 keywords were extracted using VOSviewer. In this study, a total of 88 keywords were extracted using VOSviewer. <xref ref-type="table" rid="tab8">Table 8</xref> shows that the top 10 keywords have appeared more than or equal to 19 times. The most frequently occurring keywords are Obesity (<italic>n</italic>&#x202F;=&#x202F;55), followed by Metabolic Associated Steatotic Liver Disease (<italic>n</italic>&#x202F;=&#x202F;47), Non-Alcoholic Fatty Liver Disease (<italic>n</italic>&#x202F;=&#x202F;44), Beta-hydroxybutyrate (<italic>n</italic>&#x202F;=&#x202F;41), and Low carbohydrate diet (<italic>n</italic>&#x202F;=&#x202F;38). Then, based on the minimum value of the occurrence of a certain keyword&#x2265;3, 88 keywords were selected to draw a keyword clustering graph (<xref ref-type="fig" rid="fig7">Figure 7</xref>), in which 9 clusters of different colors were observed. The first cluster (red dots) focuses on the multifaceted impact of diet on health and disease, with a total of 15 keywords including fast, epidemiology, aging, nutrition, Alzheimer &#x0026; disease, etc. The second cluster (green dots) has 14 keywords, with the theme of diet patterns and health: prevention and treatment of nutritional and metabolic diseases, including mitochondrial dysfunction, inflammatory response, fibroblast growth factor 21, skeletal muscle, exercise, etc. There are 13 keywords in the third cluster (deep blue dots), focusing on the effects of low carbohydrate diet on fatty liver and liver metabolism, including low carbohydrate diet, fatty liver, sarcopenia, bariatric surgery, cirrhosis, etc. The fourth cluster (yellow dot) focuses on the research related to the impact of fatty acid oxidation on metabolic diseases such as diabetes and abnormal lipid metabolism, and contains 12 keywords, including fat acid oxidation, diabetic ketoacidosis, diabetes, dyslipidemia, and hypertensive steatosis. The fifth cluster (purple dots) focuses on nutrition patterns and cardiovascular health, with a total of 9 keywords including glucose metabolism, mediterranean diet, intermittent fasting, cardiovascular disease, fructose, etc. The sixth cluster (light blue dots) focuses on NAFLD, insulin resistance, and novel dietary strategies, with a total of 9 keywords including: obesity, non-alcoholic fatty liver disease, metabolic associated steatotic liver disease, insulin resistance, very low-calorie ketogenic diet, etc. The seventh cluster (orange dots) focuses on the role of beta-hydroxybutyrylation in metabolic regulation, with a total of six keywords including beta-hydroxybutyrylation, adenosine 5&#x2032;-monophosphate-activated protein kinase, autophagy, endothelial reticulum, pancreatic cancer, etc. The eighth cluster (brown dots) focuses on the effects and responses of carbohydrate restriction on hepatic stellate cells and hepatocytes, with a total of six keywords including: weight less, carbohydrate restriction, acetate, endurance, hepatic stellate cells, etc. The ninth cluster (pink dot) focuses on the effect of controlling keto nutritional diet on type 2 diabetes in animal experiments, and contains four keywords, including: type 2 diabetes mellitus body composition, animal models, nutritional ketosis. In addition, VOSviewer was used to identify 3,207 keywords from Scopus (<xref rid="SM1" ref-type="supplementary-material">Supplementary Figure S2</xref>). Current research on the KD and liver health converges on several key hotspots: (1) Its clinical application in the management of metabolic and neurological disorders, such as type 2 diabetes and epilepsy. (2) Its regulatory effects on hepatic mitochondrial function, lipid metabolism, and inflammation. (3) Its role in nutritional interventions for obesity and NAFLD, particularly via modulation of the gut&#x2013;liver axis. (4) Its influence on insulin resistance, hepatic steatosis, fibrosis, and hepatocarcinogenesis through ketone body metabolism and carbohydrate restriction. (5) The molecular adaptations induced by KD, including autophagy, circadian rhythm regulation, and lipid homeostasis.</p>
<table-wrap position="float" id="tab8">
<label>Table 8</label>
<caption>
<p>Top 10 keywords related to KD in liver health.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Rank</th>
<th align="left" valign="top">Keyword</th>
<th align="center" valign="top">Count</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="left" valign="middle">Obesity</td>
<td align="center" valign="middle">55</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="left" valign="middle">Metabolic Associated Steatotic Liver Disease</td>
<td align="center" valign="middle">47</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="left" valign="middle">Non-Alcoholic Fatty Liver Disease</td>
<td align="center" valign="middle">44</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="left" valign="middle">Beta-hydroxybutyrate</td>
<td align="center" valign="middle">41</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="left" valign="middle">Low Carbohydrate diet</td>
<td align="center" valign="middle">38</td>
</tr>
<tr>
<td align="left" valign="middle">6</td>
<td align="left" valign="middle">Glucose Metabolism</td>
<td align="center" valign="middle">33</td>
</tr>
<tr>
<td align="left" valign="middle">7</td>
<td align="left" valign="middle">Mitochondrial Dysfunction</td>
<td align="center" valign="middle">26</td>
</tr>
<tr>
<td align="left" valign="middle">8</td>
<td align="left" valign="middle">Inflammatory Response</td>
<td align="center" valign="middle">25</td>
</tr>
<tr>
<td align="left" valign="middle">8</td>
<td align="left" valign="middle">Insulin Resistance</td>
<td align="center" valign="middle">25</td>
</tr>
<tr>
<td align="left" valign="middle">10</td>
<td align="left" valign="middle">Diabetic Ketoacidation</td>
<td align="center" valign="middle">19</td>
</tr>
<tr>
<td align="left" valign="middle">10</td>
<td align="left" valign="middle">Fatty Acid Oxidation</td>
<td align="center" valign="middle">19</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>Keywords co-occurrence map of publications on the field of KD in liver health.</p>
</caption>
<graphic xlink:href="fnut-12-1652271-g007.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Network visualization showing interconnected topics related to metabolic health. Nodes include keywords like obesity, insulin resistance, and non-alcoholic fatty liver disease, with varying colors indicating clusters. Lines represent relationships, and node size reflects importance within the network. Created using VOSviewer.</alt-text>
</graphic>
</fig>
<p>In addition, we generated a trend theme map using the bibliometrix package in R software (<xref ref-type="fig" rid="fig8">Figure 8</xref>). Trend theme maps are valuable for tracking the chronological development of specific research topics within a field. They allow us to monitor the evolution of research hotspots over time and gain deeper insights into their progression. By examining the trend map, we analyzed the evolution of research focus and the development trajectory of KD in liver health. Our findings indicate that between 2014 and 2018, the focus was on regulating the expression of fibroblast growth factor 21 (FGF21) through experimental gene editing in mice for the treatment of fatty liver. From 2019 to 2023, the focus shifted to studying weight management guidelines for NAFLD patients, specifically using <italic>&#x03B2;</italic>-hydroxybutyrate (BHB), a ketone body produced through the KD&#x2019;s metabolic pathway.</p>
<fig position="float" id="fig8">
<label>Figure 8</label>
<caption>
<p>Trend topics on the field of KD in liver health research.</p>
</caption>
<graphic xlink:href="fnut-12-1652271-g008.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Graph of trending topics from 2013 to 2023. The x-axis shows the years, and the y-axis lists terms like "nonalcoholic steatohepatitis," "roles," and "guidelines." Multiple horizontal lines and varying size circles indicate term frequency, with larger circles representing higher frequency. The legend indicates term frequency by size: 25, 50, and 75.</alt-text>
</graphic>
</fig>
<p>Through keyword clustering and evolution analysis, we found that the primary research hotspots in the field of KD and liver health are focused on (1) The impact of KD on the treatment of NAFLD. (2) The impact of KD on the treatment of ALD and cirrhosis. (3) The impact of KD on the treatment of HCC.</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec11">
<label>4</label>
<title>Discussion</title>
<sec id="sec12">
<label>4.1</label>
<title>General information</title>
<p>To better understand the research focus and trends in KD for liver health, we conducted a bibliometric analysis and data visualization, examining 561 papers published between 2013 and 2024. Our findings reveal a growing trend in publications, particularly between 2019 and 2022, indicating increasing interest in this area. This surge highlights the expanding attention KD has garnered in the study of liver health. Among the countries contributing to this field, the United States published the most papers (<italic>n</italic>&#x202F;=&#x202F;145), followed by China (<italic>n</italic>&#x202F;=&#x202F;84) and Italy (<italic>n</italic>&#x202F;=&#x202F;47). Of the top 10 publishing institutions, five are from the US, two from France, and one each from China and Italy, with Sapienza University of Rome in Italy leading with 11 publications. Notably, seven of the top 10 countries are from Europe and the Americas, while three are from Asia. This suggests that KD-related liver health research is more prominent in Europe and the United States compared to other regions. Interestingly, although the United States leads in the number of publications, there is no single dominant institution in this field. Instead, research is distributed across numerous institutions, suggesting a competitive landscape where many schools are actively engaged. This distribution indicates that research on KD in liver health is still in its early stages, with opportunities to expand the scope and deepen the exploration of this area in future studies. In a study of published journals, we found that 561 research papers were published in 292 journals, important journals include <italic>Nutrients, Plos One, Scientific Reports, Frontiers in Nutrition, Frontiers in Physiology</italic>, and others. Interestingly, <italic>Cell Metabolism</italic> and <italic>Nutrients</italic> are the most cited journals, and <italic>Nutrients</italic> and <italic>Plos One</italic> are the most published journals. The results show that these journals are key publications in the field of KD in Liver Health. It&#x2019;s worth noting that high-impact journals, such as <italic>Nature Reviews Drug Discovery</italic>, publish fewer articles, yet these articles tend to have a higher citation count. This can be attributed to their rigorous publication standards and significant academic influence. The articles published in these journals often address cutting-edge, interdisciplinary research topics, offering high levels of innovation and theoretical depth. As a result, despite the limited number of publications, each article holds substantial academic value, generating widespread attention and frequent citations in subsequent research. The high citation frequency reflects not only the broad acceptance of the research but also its pivotal role in advancing the field. In our study, we observed that the majority of the top 10 most published and cited authors in the field are from the United States and Italy. Notable figures in this field include Crawford Pa, Puchalska P, Watanabe M, and D&#x2019;Avignon Da, who have made significant contributions to advancing research on KD and liver health. These researchers play a pivotal role in the development of the field, highlighting the prominent contributions of American and Italian scholars. Current research suggests considerable potential for further growth, making continued and more in-depth investigation crucial for advancing the field, deepening our understanding, and facilitating the translation of findings into clinical practice&#x2014;ultimately benefiting a broader patient population.</p>
</sec>
<sec id="sec13">
<label>4.2</label>
<title>Hotspots and development trends</title>
<p>By analyzing citation frequency, citation explosion, keyword clustering, and keyword trend themes, we have summarized the research hotspots and frontiers in KD in Liver Health as three noteworthy aspects. First, Effects of the KD on Liver Physiology and Pathophysiology. Second, Mechanisms of the KD in Treating Diverse Liver Diseases. Third, Potential Side Effects of the KD on Liver Health.</p>
<sec id="sec14">
<label>4.2.1</label>
<title>Effects of the KD on liver physiology and pathophysiology</title>
<p>The KD is a low-carbohydrate, high-fat dietary pattern that forces the body into a state of ketosis, where fat, rather than glucose, is primarily used for energy. This dietary pattern has profound effects on liver physiology and pathophysiology, particularly on lipid metabolism, insulin sensitivity, inflammatory responses, and oxidative stress regulation. The KD not only helps improve liver metabolic function but may also, in certain cases, slow the progression of liver diseases. The following details the effects of the KD on liver physiology and pathophysiology.</p>
<sec id="sec15">
<label>4.2.1.1</label>
<title>Promotion of fatty acid oxidation and ketone body production</title>
<p>The core mechanism of the KD is to reduce carbohydrate intake, thereby lowering blood glucose levels and forcing the liver to switch from glucose metabolism to fatty acid oxidation (<xref ref-type="bibr" rid="ref34">34</xref>). When carbohydrate intake is reduced, the liver breaks down fatty acids through <italic>&#x03B2;</italic>-oxidation to produce ketone bodies, such as &#x03B2;-hydroxybutyrate (BHB) and acetoacetate. These ketones not only provide energy for the liver but also serve as energy sources for other tissues, especially the brain (<xref ref-type="bibr" rid="ref24">24</xref>).</p>
<p>Under normal conditions, the liver primarily generates glucose through glycogenolysis and gluconeogenesis (<xref ref-type="bibr" rid="ref35">35</xref>). However, during the KD, the reduced glucose availability shifts the liver&#x2019;s metabolism toward fatty acid oxidation, generating ketones to meet energy demands. This metabolic switch helps reduce the liver&#x2019;s dependence on glucose, improves glucose metabolism, and promotes fat burning, thus alleviating hepatic fat accumulation&#x2014;especially in conditions like NAFLD. This dietary shift may offer therapeutic benefits for these pathological states (<xref ref-type="bibr" rid="ref36">36</xref>).</p>
</sec>
<sec id="sec16">
<label>4.2.1.2</label>
<title>Improvement of insulin sensitivity and reduction in hepatic fat accumulation</title>
<p>The KD can significantly improve insulin sensitivity, which is particularly relevant in conditions like insulin resistance, NAFLD, and type 2 diabetes. By substantially reducing carbohydrate intake, the diet stabilizes blood glucose levels and decreases insulin secretion, improving insulin sensitivity (<xref ref-type="bibr" rid="ref37">37</xref>). As insulin levels decrease, the liver&#x2019;s expression of key enzymes involved in fat synthesis, such as fatty acid synthase (FAS) and acetyl-CoA carboxylase (ACC), is suppressed, reducing fat generation (<xref ref-type="bibr" rid="ref38">38</xref>).</p>
</sec>
<sec id="sec17">
<label>4.2.1.3</label>
<title>Reduction of liver inflammation and oxidative stress</title>
<p>The KD also plays a crucial role in modulating liver inflammation. Studies have shown that the KD can reduce pro-inflammatory factors in the liver, such as tumor necrosis factor <italic>&#x03B1;</italic> (TNF-&#x03B1;), interleukin-6 (IL-6), and suppress the activation of pro-inflammatory pathways, like nuclear factor kappa B (NF-&#x03BA;B) (<xref ref-type="bibr" rid="ref39">39</xref>). By inhibiting inflammation, the KD helps slow down liver damage, particularly in conditions related to fatty liver, such as NAFLD (<xref ref-type="bibr" rid="ref40">40</xref>).</p>
<p>Furthermore, the KD has beneficial effects on oxidative stress regulation. Ketones, especially <italic>&#x03B2;</italic>-hydroxybutyrate, not only serve as an energy source but also exhibit antioxidant properties. Ketones activate the nuclear factor erythroid 2-related factor 2 (NRF2) pathway, which enhances the activity of antioxidant enzymes like superoxide dismutase (SOD) and glutathione peroxidase (GPx), thus helping to neutralize free radicals and mitigate oxidative stress (<xref ref-type="bibr" rid="ref41">41</xref>).</p>
<p>In liver diseases such as NAFLD and alcoholic fatty liver, oxidative stress and inflammation are common pathological features (<xref ref-type="bibr" rid="ref42">42</xref>). The KD, by reducing oxidative stress and suppressing inflammation, has the potential to alleviate these pathological features and slow disease progression.</p>
</sec>
<sec id="sec18">
<label>4.2.1.4</label>
<title>Improvement of lipid and bile acid metabolism</title>
<p>The KD alters lipid metabolism, which has significant effects on lipid synthesis and breakdown in the liver (<xref ref-type="bibr" rid="ref43">43</xref>). During ketone body production, fatty acids are broken down via &#x03B2;-oxidation, generating ketones for energy. This metabolic change helps not only reduce fat accumulation in the liver but also promotes the metabolism of lipids and cholesterol.</p>
<p>Studies have shown that the KD may also regulate the synthesis and metabolism of bile acids, further promoting lipid metabolism (<xref ref-type="bibr" rid="ref44">44</xref>). The liver is the primary site for bile acid synthesis, and the KD can stimulate bile acid production by modulating the fatty acid levels in the liver, helping to reduce fat deposits in the liver.</p>
</sec>
<sec id="sec19">
<label>4.2.1.5</label>
<title>Potential risks of the KD on liver pathophysiology</title>
<p>Although the KD has positive effects on liver health, long-term adherence to the diet may also pose certain risks to the liver. The high-fat nature of the KD may lead to excessive accumulation of cholesterol and fat-soluble vitamins, potentially increasing the liver&#x2019;s workload, especially in individuals with pre-existing liver conditions (<xref ref-type="bibr" rid="ref45">45</xref>).</p>
<p>Additionally, the KD may exert pressure on the gallbladder, particularly in individuals with a history of gallstones or compromised gallbladder function. Excessive fat intake may lead to increased gallbladder activity, raising the risk of gallstone formation (<xref ref-type="bibr" rid="ref46">46</xref>).</p>
<p>Moreover, prolonged ketone production may impose additional stress on the liver, particularly in individuals with impaired liver metabolism. This can lead to deficiencies in fat-soluble vitamins (such as A, D, E, and K), affecting liver function. Therefore, close monitoring of liver function is necessary when following the KD, especially for extended periods, to ensure safety and long-term effectiveness (<xref ref-type="bibr" rid="ref47">47</xref>).</p>
<p>The KD exerts multiple beneficial effects on liver physiology by modulating lipid metabolism, improving insulin sensitivity, reducing inflammation, and regulating oxidative stress. It shows potential therapeutic benefits for liver diseases, especially in conditions like fatty liver disease, cirrhosis, and certain metabolic disorders. However, the implementation of the KD should be personalized based on the individual&#x2019;s condition, and long-term use requires close monitoring to minimize potential risks. By designing appropriate KD plans and working with healthcare providers and nutritionists, individuals can maximize the benefits for liver health while minimizing the potential risks associated with its prolonged use.</p>
</sec>
</sec>
<sec id="sec20">
<label>4.2.2</label>
<title>Mechanisms of the KD in treating diverse liver diseases</title>
<p>The KD, characterized by a very low carbohydrate intake, moderate protein, and high fats, leads to a metabolic shift in which the body transitions from using glucose to ketone bodies (e.g., acetoacetate, <italic>&#x03B2;</italic>-hydroxybutyrate (BHB), and acetone) as the primary energy source. This alteration in energy metabolism underpins several mechanisms that may prove beneficial in managing a variety of liver disorders, such as NAFLD, alcoholic liver disease (ALD) with early cirrhosis, and HCC.</p>
<sec id="sec21">
<label>4.2.2.1</label>
<title>The effect of KD on the treatment of NAFLD</title>
<p>NAFLD primarily results from the accumulation of excessive lipids in the liver, often linked to insulin resistance and metabolic dysfunction (<xref ref-type="bibr" rid="ref48">48</xref>). Insulin resistance plays a central role in the pathogenesis of NAFLD by promoting lipolysis and leading to the increased influx of free fatty acids into the liver, where they accumulate and cause hepatic steatosis (<xref ref-type="bibr" rid="ref49">49</xref>). Additionally, insulin resistance exacerbates itself through a feedback loop, which worsens the metabolic disturbances associated with NAFLD (<xref ref-type="bibr" rid="ref50">50</xref>).</p>
<p>The KD can positively impact insulin resistance by reducing carbohydrate intake, which decreases glucose availability and stabilizes blood sugar levels (<xref ref-type="bibr" rid="ref51">51</xref>). This reduction in glucose metabolism lowers insulin demand, helping to maintain lower insulin levels, thereby reducing the incidence of insulin-related metabolic disorders in the liver. Furthermore, during ketosis, the liver converts fatty acids into ketone bodies, which provide an alternative energy source to glucose. This shift significantly reduces the liver&#x2019;s reliance on glucose metabolism, allowing it to oxidize fatty acids more effectively (<xref ref-type="bibr" rid="ref28">28</xref>).</p>
<p>Insulin is a key regulator of hepatic lipogenesis, promoting fatty acid synthesis through transcription factors such as sterol regulatory element-binding protein 1c (SREBP-1c) (<xref ref-type="bibr" rid="ref52">52</xref>). Lower insulin levels, facilitated by the KD, decrease the activity of these transcription factors, which in turn reduces the synthesis of triglycerides from fatty acids and acetyl-CoA, thus mitigating excessive lipid accumulation in the liver (<xref ref-type="bibr" rid="ref53">53</xref>). Additionally, the KD promotes the breakdown of fatty acids into free fatty acids, further contributing to the reduction of liver fat (<xref ref-type="bibr" rid="ref37">37</xref>).</p>
<p>BHB, one of the primary ketone bodies, has been shown to activate transcription factors like peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1&#x03B1;), which regulates genes involved in fat metabolism and enhances mitochondrial oxidative capacity (<xref ref-type="bibr" rid="ref54">54</xref>). By promoting mitochondrial fatty acid oxidation and gene expression related to lipid metabolism, BHB further supports the therapeutic goal of reducing hepatic lipid accumulation (<xref ref-type="bibr" rid="ref55">55</xref>). However, some studies suggest that the KD may not universally benefit NAFLD, and several factors, including the type and quality of lipids in the diet, the body&#x2019;s ketogenic reserves, and individual metabolic status, can influence treatment outcomes (<xref ref-type="bibr" rid="ref56">56</xref>). Research is ongoing to elucidate the full range of effects the KD has on liver lipid metabolism and its potential for managing NAFLD.</p>
<p>It should be noted that in recent years, the term &#x201C;NAFLD&#x201D; has gradually been replaced by &#x201C;metabolic-associated fatty liver disease&#x201D; (MASLD) (<xref ref-type="bibr" rid="ref57">57</xref>). The introduction of the term MASLD is a significant advancement in the understanding of this condition, reflecting a more precise classification based on its metabolic associations. While &#x201C;Non-Alcoholic Fatty Liver Disease&#x201D; (NAFLD) historically emphasized the exclusion of alcohol consumption, MASLD highlights the disease&#x2019;s close links with metabolic disorders such as obesity and diabetes. This shift in terminology is necessary as it aligns with the evolving understanding of the disease&#x2019;s pathophysiology and its connection to metabolic syndrome, offering a more accurate representation of its etiological factors. Furthermore, adopting MASLD in epidemiological research enhances the precision of patient categorization, contributing to better disease stratification and more tailored clinical management. Although the transition from NAFLD to MASLD may pose challenges, particularly regarding historical data, it is a crucial step toward advancing both research and clinical practice.</p>
</sec>
<sec id="sec22">
<label>4.2.2.2</label>
<title>The effect of KD on the treatment of ALD and early liver cirrhosis</title>
<p>Chronic alcohol consumption leads to persistent inflammation, hepatocyte damage, and fibrosis, often progressing to alcoholic fatty liver disease (ALD) and eventually cirrhosis (<xref ref-type="bibr" rid="ref58">58</xref>). While complete alcohol abstinence remains the primary treatment for ALD and cirrhosis, addressing the metabolic dysfunction in the liver is also crucial. The goal is to reduce hepatic fat accumulation, control inflammation, and mitigate oxidative stress, all of which contribute to liver injury (<xref ref-type="bibr" rid="ref14">14</xref>).</p>
<p>The KD, with its low carbohydrate content, reduces external glucose availability, encouraging the liver to shift its primary energy source from glucose to fatty acids. This metabolic switch boosts fat oxidation and promotes the breakdown of lipids (<xref ref-type="bibr" rid="ref59">59</xref>). During ketosis, the liver upregulates metabolic regulators like fibroblast growth factor 21 (FGF21), which facilitates ketone production, particularly BHB (<xref ref-type="bibr" rid="ref60">60</xref>). BHB plays a significant role in managing alcoholic fatty liver and early cirrhosis by improving insulin sensitivity, reducing hepatic fat accumulation, and providing antioxidant protection against oxidative stress (<xref ref-type="bibr" rid="ref61">61</xref>). BHB has several mechanisms through which it exerts its beneficial effects. It interacts with G-protein-coupled receptor 109A (GPR109A), triggering anti-inflammatory signaling pathways and suppressing pro-inflammatory pathways mediated by NF-&#x03BA;B (<xref ref-type="bibr" rid="ref62">62</xref>). This results in reduced cytokine production, such as TNF-<italic>&#x03B1;</italic>, IL-1&#x03B2;, and IL-6, which are key mediators of inflammation. Additionally, BHB enhances the production of anti-inflammatory cytokines like IL-10 and supports the shift of macrophage polarization toward the M2 phenotype, contributing to reduced inflammation and enhanced tissue repair (<xref ref-type="bibr" rid="ref63">63</xref>). Oxidative stress, a common feature in ALD, is exacerbated by alcohol metabolism, which generates excessive reactive oxygen species (ROS) (<xref ref-type="bibr" rid="ref64">64</xref>). BHB stabilizes cell membranes and scavenges free radicals, reducing oxidative damage. Moreover, it stimulates the NRF2 pathway, which upregulates antioxidant enzymes like superoxide dismutase (SOD) and glutathione peroxidase (GPx) (<xref ref-type="bibr" rid="ref65">65</xref>). These enzymes neutralize ROS, reducing further cellular damage. The antioxidant-rich foods typically included in a KD, such as nuts, seeds, and leafy greens, further support the body&#x2019;s antioxidant defenses, enhancing the diet&#x2019;s overall effectiveness in mitigating liver damage (<xref ref-type="bibr" rid="ref66">66</xref>).</p>
<p>In summary, the KD addresses the metabolic disturbances associated with ALD and early cirrhosis by shifting liver metabolism toward enhanced fatty acid oxidation and ketone production. Through the actions of BHB, the diet improves insulin sensitivity, reduces hepatic fat deposition, and exerts anti-inflammatory and antioxidant effects, making it a promising adjunct therapy for managing alcoholic fatty liver disease and early cirrhosis.</p>
</sec>
<sec id="sec23">
<label>4.2.2.3</label>
<title>Reprogramming tumor metabolism in HCC</title>
<p>HCC is a primary form of liver cancer that often develops in the context of chronic liver diseases, including cirrhosis and hepatitis (<xref ref-type="bibr" rid="ref67">67</xref>). The KD has shown promise in influencing the progression of HCC by altering tumor cell metabolism. Many cancer cells, including those in HCC, rely heavily on glycolysis for energy, even in the presence of oxygen (the Warburg effect). The KD reduces glucose availability, potentially limiting tumor cell growth by depriving them of their preferred energy source (<xref ref-type="bibr" rid="ref68">68</xref>).</p>
<p>In contrast to normal cells, which can effectively utilize ketone bodies as an alternative energy source, HCC cells struggle to adapt to ketosis due to mitochondrial dysfunction and abnormal ketone metabolism (<xref ref-type="bibr" rid="ref69">69</xref>). Key enzymes involved in ketone metabolism, such as Alpha-ketoglutarate dehydrogenase and succinyl-CoA transferase, are often less active in tumor cells, preventing efficient utilization of ketones. This metabolic disruption inhibits tumor growth and proliferation, offering a potential therapeutic benefit (<xref ref-type="bibr" rid="ref70">70</xref>).</p>
<p>Additionally, the increased production of ketone bodies like <italic>&#x03B2;</italic>-hydroxybutyrate under a KD has been shown to enhance oxidative stress in tumor cells (<xref ref-type="bibr" rid="ref71">71</xref>). While ketones reduce ROS production in normal cells, tumor cells, with their impaired mitochondria, experience heightened oxidative stress under a KD (<xref ref-type="bibr" rid="ref72">72</xref>). This stress may promote apoptosis and autophagy in tumor cells, contributing to tumor reduction. The KD can also inhibit angiogenesis, the process by which tumors develop blood vessels to supply nutrients, further limiting tumor growth (<xref ref-type="bibr" rid="ref73">73</xref>).</p>
<p>The KD&#x2019;s ability to alter the metabolic environment of HCC cells, enhance oxidative stress, and potentially sensitize tumors to chemotherapy or radiotherapy makes it a promising adjunct treatment (<xref ref-type="bibr" rid="ref69">69</xref>). Studies have shown that combining a KD with other therapeutic strategies, such as small molecule inhibitors or statins, may synergistically enhance treatment outcomes. These treatments work by inhibiting cancer cell growth and metabolism while promoting tumor cell apoptosis (<xref ref-type="bibr" rid="ref74">74</xref>).</p>
<p>In summary, the KD&#x2019;s impact on tumor cell metabolism, its ability to increase oxidative stress in cancer cells, and its potential to improve the effectiveness of conventional therapies make it a promising adjunctive treatment for HCC.</p>
</sec>
</sec>
<sec id="sec24">
<label>4.2.3</label>
<title>Potential side effects of the KD on liver health</title>
<p>While the KD has shown positive effects in improving liver metabolism, reducing fat accumulation, and combating certain liver diseases such as NAFLD and ALD, its potential side effects on liver health should not be overlooked. Long-term adherence to the KD may trigger negative effects, particularly in individuals with pre-existing liver dysfunction or underlying liver diseases. The following section explores the potential adverse effects of the KD on the liver.</p>
<sec id="sec25">
<label>4.2.3.1</label>
<title>Increased liver fat accumulation</title>
<p>One of the key therapeutic benefits of the KD is its ability to reduce liver fat accumulation, especially in cases of NAFLD. By limiting carbohydrate intake and shifting the body&#x2019;s energy reliance from glucose to fats, the KD encourages fat oxidation and ketone production. However, improper fat selection and excessive fat intake can exacerbate fat accumulation in the liver, especially if the liver has not yet fully adapted to the ketogenic state. This can lead to an aggravation of hepatic steatosis (fatty liver), particularly in individuals with pre-existing liver damage (<xref ref-type="bibr" rid="ref75">75</xref>).</p>
<p>Studies suggest that in some cases, the KD may induce metabolic dysregulation in liver fatty acid metabolism, causing an accumulation of triglycerides and free fatty acids within hepatocytes (<xref ref-type="bibr" rid="ref76">76</xref>). This issue may be particularly dangerous for individuals who already have compromised liver function, as the excess lipid deposition can further impair liver function and accelerate liver injury. Additionally, the composition of fats in the diet is crucial; if the diet includes high levels of unhealthy fats, it may not only contribute to increased liver fat but could also potentially elevate the risk of liver fibrosis and other complications over time (<xref ref-type="bibr" rid="ref77">77</xref>).</p>
</sec>
<sec id="sec26">
<label>4.2.3.2</label>
<title>Increased metabolic burden on the liver</title>
<p>The KD imposes a significant metabolic burden on the liver, particularly in individuals whose liver function is already compromised (<xref ref-type="bibr" rid="ref78">78</xref>). During ketosis, the liver plays a central role in metabolizing fatty acids and converting them into ketone bodies for energy. This metabolic shift requires the liver to accelerate the oxidation of fatty acids, which can increase the liver&#x2019;s workload.</p>
<p>For individuals with pre-existing liver disease or reduced hepatic function, this increased metabolic stress may lead to further liver damage. Chronic, excessive oxidative stress and the increased demand for fatty acid metabolism can strain hepatocytes, potentially leading to liver dysfunction or even liver failure in extreme cases (<xref ref-type="bibr" rid="ref79">79</xref>). Moreover, the accumulation of ketone bodies, while beneficial in many instances, could overwhelm liver detoxification mechanisms in individuals with liver disease, complicating the clinical picture and potentially exacerbating hepatic injury (<xref ref-type="bibr" rid="ref80">80</xref>).</p>
</sec>
<sec id="sec27">
<label>4.2.3.3</label>
<title>Elevated cholesterol levels and increased risk of gallstones</title>
<p>Another potential side effect of the KD is an increase in cholesterol levels, which could contribute to the formation of gallstones (<xref ref-type="bibr" rid="ref81">81</xref>). The high-fat nature of the diet leads to increased cholesterol synthesis in the liver and increased secretion of cholesterol into the bile. Although bile acids play a crucial role in the digestion and absorption of fats, excessive cholesterol levels can overwhelm the liver&#x2019;s ability to process and excrete it via bile (<xref ref-type="bibr" rid="ref82">82</xref>).</p>
<p>For individuals with pre-existing high cholesterol or those who have a history of gallstones, the KD could pose an additional risk by promoting the formation of new gallstones (<xref ref-type="bibr" rid="ref83">83</xref>). The high intake of dietary fats, particularly saturated fats, may increase the risk of bile becoming supersaturated with cholesterol, which is a known precursor to gallstone formation. Therefore, individuals with a history of gallstones or those at risk should be cautious when considering the KD, as it may exacerbate their condition.</p>
</sec>
<sec id="sec28">
<label>4.2.3.4</label>
<title>Potential nutrient deficiencies</title>
<p>The strict nature of the KD, which severely restricts carbohydrate intake and emphasizes fats and proteins, could lead to certain nutrient deficiencies over time. While the diet can be rich in vitamins A, D, E, and K due to its high-fat content, it may lack essential nutrients found in carbohydrate-rich foods, such as certain B vitamins, fiber, and antioxidants (<xref ref-type="bibr" rid="ref84">84</xref>). The lack of these nutrients can potentially lead to gastrointestinal issues, muscle cramps, or even bone health problems due to insufficient vitamin D and calcium (<xref ref-type="bibr" rid="ref85">85</xref>).</p>
<p>Additionally, certain liver diseases, such as cirrhosis, can already compromise the liver&#x2019;s ability to process and store essential nutrients. In these cases, the KD may exacerbate nutrient imbalances, further impairing liver function and overall health. Therefore, careful monitoring of nutrient levels and supplementation may be required for individuals with liver disease following a KD (<xref ref-type="bibr" rid="ref86">86</xref>).</p>
</sec>
<sec id="sec29">
<label>4.2.3.5</label>
<title>Increased risk of liver inflammation in certain individuals</title>
<p>While the KD has anti-inflammatory properties for many individuals, it may have the opposite effect in others, especially those with compromised liver function. In individuals with existing liver inflammation, such as those with ALD or autoimmune hepatitis, the KD may initially exacerbate liver inflammation, especially during the early phases of adaptation. This could lead to an increase in liver enzymes, liver swelling, or discomfort (<xref ref-type="bibr" rid="ref87">87</xref>).</p>
<p>Furthermore, if the KD is not well-balanced in terms of fat types or if the intake of inflammatory fats is high, it could lead to an inflammatory response within the liver, potentially aggravating liver conditions and impairing liver function. Careful attention to the quality of fats in the diet is essential to mitigate this risk, especially in individuals with underlying liver pathology (<xref ref-type="bibr" rid="ref88">88</xref>).</p>
<p>While the KD offers significant therapeutic potential for liver diseases such as NAFLD and ALD, it is essential to consider the potential side effects on liver health. These include the increased risk of liver fat accumulation, elevated metabolic burden on the liver, higher cholesterol levels, nutrient deficiencies, and exacerbated liver inflammation. As such, the KD should be approached with caution, particularly in individuals with pre-existing liver dysfunction or other metabolic conditions. It is highly recommended that individuals considering or currently following the KD do so under the supervision of a healthcare professional to ensure safe and effective implementation and to monitor for any potential adverse effects.</p>
</sec>
</sec>
</sec>
<sec id="sec30">
<label>4.3</label>
<title>Limitations</title>
<p>This article is intended to enhance understanding of the development and current research hotspots in the field of KD in liver health, and to explore potential research directions of significant value. However, we acknowledge some limitations in our study. Firstly, our research relies solely on data from the WoSCC database and Scopus database, which may lead to the omission of articles published exclusively in other databases. Nevertheless, the WoSCC database and Scopus database are widely regarded for its high-quality and credible sources, making it a reasonable choice for our bibliometric analysis. Secondly, we only analyzed English publications, which may lead to the neglect of publications in other languages and result in source bias. In addition, in terms of article types, we only included reviews and Articles for analysis, which might also lead to data omissions. Despite these limitations, our research offers a comprehensive overview of the field, highlighting key topics and trends. By considering these factors, researchers can gain insights into the field&#x2019;s overall development, identify potential research directions, and use this information to guide future exploration.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec31">
<label>5</label>
<title>Conclusion</title>
<p>Our research clearly highlights the key research hotspots and emerging frontiers in KD related to liver health. Below is a summary of the key knowledge areas and research trends in this field:</p>
<list list-type="alpha-lower">
<list-item>
<p>The field of KD has attracted researchers from around the world studying liver health, with the United States, China, and Italy being the most active countries. With the deepening of KD in Liver Health research in the future, cooperation between countries will continue to be close.</p>
</list-item>
<list-item>
<p>Among cancer-related literature, Nutrients has the most publications and Cell Metabolism has the most citations. Nutrients and Cell Metabolism are representative journals in the field of KD in Liver Health research.</p>
</list-item>
<list-item>
<p>The co-authors of KD in Liver Health revealed extensive and close collaboration among authors, represented by Crawford Pa, Watanabe M, and Gnessi L.</p>
</list-item>
<list-item>
<p>The impact of KD on the treatment of NAFLD has become a hot topic and trend in the field of liver health research.</p>
</list-item>
<list-item>
<p>The impact of KD on the treatment of ALD and cirrhosis has become a hot topic and trend in the field of liver health research.</p>
</list-item>
<list-item>
<p>The impact of KD on the treatment of HCC has become a hot topic and trend in the field of liver health research.</p>
</list-item>
</list>
<p>In summary, our research offers valuable insights into the trends and hotspots of KD in liver health. These findings can help researchers quickly grasp the state of the field and identify new directions for future exploration. By highlighting the limitations and potential focus areas of current research, our study provides guidance for researchers to deepen their investigations and encourages them to explore innovative avenues in their work.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec32">
<title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found at: <ext-link xlink:href="https://www.webofscience.com" ext-link-type="uri">https://www.webofscience.com</ext-link>.</p>
</sec>
<sec sec-type="author-contributions" id="sec33">
<title>Author contributions</title>
<p>YW: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. QL: Conceptualization, Data curation, Software, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. HM: Data curation, Software, Validation, Writing &#x2013; original draft. JH: Formal analysis, Methodology, Software, Validation, Writing &#x2013; original draft. BZ: Data curation, Investigation, Methodology, Supervision, Visualization, Writing &#x2013; original draft. YQ: Conceptualization, Data curation, Formal analysis, Methodology, Writing &#x2013; original draft. ZF: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; review &#x0026; editing. XJ: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="COI-statement" id="sec34">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec35">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec36">
<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>
<sec sec-type="supplementary-material" id="sec37">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnut.2025.1652271/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnut.2025.1652271/full#supplementary-material</ext-link></p>
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<supplementary-material xlink:href="Image_2.TIF" id="SM2" mimetype="image/tiff" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_1.DOCX" id="SM3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_2.DOCX" id="SM4" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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<fn fn-type="custom" custom-type="edited-by" id="fn0003">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/37514/overview">Peter J. Voshol</ext-link>, Independent Researcher, Culemborg, Netherlands</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0004">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2286136/overview">Hao Du</ext-link>, Yale University, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/551114/overview">Roberto Cannataro</ext-link>, Magna Gr&#x00E6;cia University, Italy</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/942351/overview">Shitang Ma</ext-link>, West Anhui University, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3060301/overview">Venkatrao Nunna</ext-link>, Washington University in St. Louis, United States</p>
</fn>
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