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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell Dev. Biol.</journal-id>
<journal-title>Frontiers in Cell and Developmental Biology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell Dev. Biol.</abbrev-journal-title>
<issn pub-type="epub">2296-634X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcell.2021.754880</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cell and Developmental Biology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Crosstalk Between MicroRNAs and Circular RNAs in Human Diseases: A Bibliographic Study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Yu-Meng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1367133/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zheng</surname> <given-names>Yi-Li</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1496689/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Su</surname> <given-names>Xuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1496772/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname> <given-names>Xue-Qiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1259484/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Sport Rehabilitation, Shanghai University of Sport</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Shanghai Shangti Orthopaedic Hospital</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Jing Zhang, Shanghai Jiao Tong University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Walter Erwin Kaufmann, Emory University, United States; Yulong Bai, Fudan University, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Xue-Qiang Wang, <email>wangxueqiang@sus.edu.cn</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Epigenomics and Epigenetics, a section of the journal Frontiers in Cell and Developmental Biology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>10</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>9</volume>
<elocation-id>754880</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>08</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>09</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Chen, Zheng, Su and Wang.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Chen, Zheng, Su and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p><bold>Background:</bold> Crosstalk of circular RNAs (circRNAs) and microRNAs (miRNAs) refers to the communication and co-regulation between them. circRNAs can act as miRNAs sponges, and miRNAs can mediate circRNAs. They interact to regulate gene expression and participate in the occurrence and development of various human diseases.</p>
<p><bold>Methods:</bold> Publications on the crosstalk between miRNAs and circRNAs in human diseases were collected from Web of Science. The collected material was limited to English articles and reviews. CiteSpace and Microsoft Excel were used for bibliographic analysis.</p>
<p><bold>Results:</bold> A total of 1,013 papers satisfied the inclusion criteria. The publication outputs and types of researched diseases were analyzed, and bibliographic analysis was used to characterize the most active journals, countries, institutions, keywords, and references. The annual number of publications remarkably increased from 2011 to 2020. Neoplasm was the main research hotspot (<italic>n</italic> = 750 publications), and <italic>Biochemical and Biophysical Research Communications</italic> published the largest number of papers (<italic>n</italic> = 64) on this topic. Nanjing Medical University ranked first among institutions actively engaged in this field by publishing 72 papers, and China contributed 96.84% of the 1,013 papers (<italic>n</italic> = 981 publications) analyzed. Burst keywords in recent years included glioblastoma, miR-7, skeletal muscle, and non-coding RNA.</p>
<p><bold>Conclusion:</bold> Crosstalk between miRNAs and circRNAs in human diseases is a popular research topic. This study provides important clues on research trends and frontiers.</p>
</abstract>
<kwd-group>
<kwd>microRNA</kwd>
<kwd>circular RNA</kwd>
<kwd>crosstalk</kwd>
<kwd>bibliography</kwd>
<kwd>cancer</kwd>
</kwd-group>
<contract-num rid="cn001">81871844</contract-num>
<contract-num rid="cn002">18SG48</contract-num>
<contract-num rid="cn003">201840346</contract-num>
<contract-num rid="cn004">11DZ2261100</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
<contract-sponsor id="cn002">Shanghai Shuguang Program<named-content content-type="fundref-id">10.13039/501100018558</named-content></contract-sponsor>
<contract-sponsor id="cn003">Shanghai Municipal Health and Family Planning Commission<named-content content-type="fundref-id">10.13039/501100014175</named-content></contract-sponsor>
<contract-sponsor id="cn004">Shanghai University of Sport<named-content content-type="fundref-id">10.13039/501100002397</named-content></contract-sponsor>
<counts>
<fig-count count="6"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="48"/>
<page-count count="10"/>
<word-count count="7851"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="S1">
<title>Introduction</title>
<p>MicroRNAs (miRNAs) are endogenous non-coding RNAs (ncRNAs) measuring &#x223C;22 nucleotides in length; they were first discovered in 1993 (<xref ref-type="bibr" rid="B23">Lee et al., 1993</xref>; <xref ref-type="bibr" rid="B2">Bartel, 2004</xref>). <xref ref-type="bibr" rid="B23">Lee et al. (1993)</xref> reported that lin-4 negatively regulates the expression of lin-14 protein by binding to the 3&#x2032;-untranslated region (3&#x2032;UTR) of lin-14 messenger RNA (mRNA) in <italic>Caenorhabditis elegans</italic>. miRNAs are crucial post-transcriptional regulators of gene expression and known to pair with the 3&#x2032;UTR of target mRNAs to either induce mRNA degradation or inhibit translation (<xref ref-type="bibr" rid="B3">Bartel, 2009</xref>). Moreover, these RNAs have been reported to be involved in the processes of various diseases, such as cancer (<xref ref-type="bibr" rid="B17">Iacona and Lutz, 2019</xref>; <xref ref-type="bibr" rid="B18">Iqbal et al., 2019</xref>), chronic pain (<xref ref-type="bibr" rid="B27">Lopez-Gonzalez et al., 2017</xref>; <xref ref-type="bibr" rid="B36">Tramullas et al., 2018</xref>), and cardiac diseases (<xref ref-type="bibr" rid="B5">Colpaert and Calore, 2019</xref>; <xref ref-type="bibr" rid="B6">Fitzsimons et al., 2020</xref>).</p>
<p>Circular RNAs (circRNAs) are endogenous ncRNAs with covalent closed-loop structures that were first discovered in viral RNA by <xref ref-type="bibr" rid="B34">Sanger et al. (1976)</xref>. circRNAs possess high stability on account of their unique structure, which protects them from degradation by exonucleases (<xref ref-type="bibr" rid="B19">Jeck et al., 2013</xref>). This type of RNA has been confirmed to modulate gene expression by acting as miRNA sponges (<xref ref-type="bibr" rid="B12">Hansen et al., 2013a</xref>; <xref ref-type="bibr" rid="B29">Memczak et al., 2013</xref>) or RNA binding protein regulators (<xref ref-type="bibr" rid="B24">Li et al., 2015</xref>). Similar to miRNAs, circRNAs are involved in a number of human diseases, such as cancer (<xref ref-type="bibr" rid="B37">Wang et al., 2017</xref>; <xref ref-type="bibr" rid="B32">Patop and Kadener, 2018</xref>), neurodegenerative disorders (<xref ref-type="bibr" rid="B7">Floris et al., 2017</xref>; <xref ref-type="bibr" rid="B16">Huang et al., 2020</xref>), and cardiovascular diseases (<xref ref-type="bibr" rid="B1">Aufiero et al., 2019</xref>; <xref ref-type="bibr" rid="B45">Zhang et al., 2020</xref>).</p>
<p>Crosstalk of circRNAs and miRNAs refers to the communication and co-regulation between them. As two important gene-expression regulators, circRNAs interact with miRNAs and participate in regulating mRNA expression in various human diseases (<xref ref-type="bibr" rid="B12">Hansen et al., 2013a</xref>; <xref ref-type="bibr" rid="B22">Kristensen et al., 2019</xref>). Crosstalk between miRNAs and circRNAs has been extensively studied, but the relevant mechanisms remain incompletely understood. To date, two mechanisms have been identified: (1) circRNAs act as miRNA inhibitors/sponges. ciRS-7 (circular RNA sponge for miR-7), one of the most typical circRNAs, has been observed to show overlapping co-expression with miR-7 in mouse brain. ciRS-7 can sponge miR-7 to inhibit miR-7 activity extensively, thereby increasing the levels of miR-7 target genes (<xref ref-type="bibr" rid="B12">Hansen et al., 2013a</xref>). (2) miRNAs mediate circRNAs. ciRS-7, also known as CDR1as, has been confirmed to be cleaved by Argonaute 2 via miR-671 mediation in cultured cells (<xref ref-type="bibr" rid="B14">Hansen et al., 2011</xref>) and mouse brain (<xref ref-type="bibr" rid="B21">Kleaveland et al., 2018</xref>). Furthermore, ciRS-7 and its crosstalk with miRNAs have been found to exert a significant effect on sensorimotor gating and synaptic transmission (<xref ref-type="bibr" rid="B33">Piwecka et al., 2017</xref>).</p>
<p>Crosstalk between circRNAs and miRNAs may provide new avenues through which the mechanisms, diagnosis, and treatment of human diseases could be explored. Thus, in the present work, we provide a bibliographic analysis of the related literature to identify current global research trends and emerging topics in this field.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Data Acquisition and Inclusion Criteria</title>
<p>This bibliographic analysis included published articles and reviews that related to research on the crosstalk between circRNAs and miRNAs, and these publications focused on the occurrence and development of human diseases or might be beneficial for studying human diseases. Data were extracted from Science Citation Index Expanded (SCI-Expanded) of Web of Science (WoS) in March 2021. Searches were conducted using the following keywords: TI = (circRNA<sup>&#x2217;</sup> or &#x201C;circ RNA<sup>&#x2217;</sup>&#x201D; OR &#x201C;circular RNA<sup>&#x2217;</sup>&#x201D; OR circularRNA<sup>&#x2217;</sup>) AND TI = (microRNA<sup>&#x2217;</sup> OR mir<sup>&#x2217;</sup> OR miRNA<sup>&#x2217;</sup> OR &#x201C;micro RNA<sup>&#x2217;</sup>&#x201D; OR &#x201C;small non-coding RNAs&#x201D; OR &#x201C;small non-coding RNA&#x201D; OR &#x201C;small RNA<sup>&#x2217;</sup>&#x201D;).</p>
<p><xref ref-type="supplementary-material" rid="FS1">Supplementary Figure 1</xref> shows the process of literature selection. Language was restricted to English, and no species limitation was implemented. We selected articles and reviews, and excluded all other publication types, such as meeting abstracts and corrections. Studies focusing on human diseases were included, while research on other subjects, such as plants, were excluded. The search and screening process was performed by two authors; in the event of disagreement, the final decision was made by the corresponding author.</p>
</sec>
<sec id="S2.SS2">
<title>Analytical Tools and Key Indicators</title>
<p>Microsoft Excel 2019 and CiteSpace V (version: 5.6.R5; Drexel University) were used for bibliographic analysis, and SPSS 22.0 (SPSS Inc., Chicago, IL, United States) was used for statistical analysis. CiteSpace is often used for bibliographic analysis with data derived from WoS (<xref ref-type="bibr" rid="B26">Liu et al., 2019</xref>; <xref ref-type="bibr" rid="B40">Xu and Sun, 2020</xref>; <xref ref-type="bibr" rid="B42">Yan et al., 2020</xref>). International Classification of Diseases 11th Revision (ICD-11) was used to classify the diseases evaluated in the 1,013 papers we obtained (<xref ref-type="bibr" rid="B39">World Health Organization [WHO], 2021</xref>).</p>
<p>The number of publications and citations, journal impact factor (JIF, 2019), h-index, category and JIF quartile were collected from WoS. The productivity of an individual or group was reflected by the number of articles published. The number of citations, IF and h-index were collected to assess the impact of individuals or groups on publications in this filed. IF values were acquired from <xref ref-type="bibr" rid="B20">Journal Citation Reports (2021)</xref>, which is a highly suitable index for evaluating the influence of journals (<xref ref-type="bibr" rid="B9">Garfield, 2006</xref>). The h-index characterizes the scientific output of a researcher. If the h-index of a researcher is <italic>h</italic>, the researcher published at least <italic>h</italic> papers and each of these papers was cited at least <italic>h</italic> times (<xref ref-type="bibr" rid="B15">Hirsch, 2005</xref>). Each journal was assigned to at least one category in descending order according to JIF, and the top 25% of JIF distribution were Q1, 25&#x2013;50% were Q2 and 50&#x2013;75% were Q3. Centrality is an indicator calculated by CiteSpace to evaluate the importance of nodes in a network; nodes with high centrality indicate pivotal points (<xref ref-type="bibr" rid="B4">Chen, 2006</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="S3">
<title>Results</title>
<sec id="S3.SS1">
<title>Publication Output</title>
<p>A total of 1,013 papers were included in our study. <xref ref-type="fig" rid="F1">Figure 1A</xref> shows the number of articles published by year. The first paper related to the crosstalk between miRNAs and circRNAs in human diseases was published in 2011. The number of publications increased from 1 in 2011 to 535 in 2020. As of February 28, 2021, 40 papers on this topic have been published in 2021. <xref ref-type="fig" rid="F1">Figure 1B</xref> shows the total number of citations of the 1,013 papers per year. Linear regression analysis showed that the number of publications (<italic>t</italic> = 3.376, <italic>P</italic> = 0.01 &#x003C; 0.05, data of 2021 were not included because they are incomplete) and citations (<italic>t</italic> = 3.413, <italic>P</italic> = 0.009 &#x003C; 0.05, data of 2021 were not included) increased remarkably each year from 2011 to 2020.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>The number of publications and citations. <bold>(A)</bold> The number of annual publications on the crosstalk between microRNAs and circular RNAs from 2011 to 2021; <bold>(B)</bold> The number of annual citations on the crosstalk between microRNAs and circular RNAs from 2011 to 2021.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcell-09-754880-g001.tif"/>
</fig>
</sec>
<sec id="S3.SS2">
<title>Distribution of Diseases</title>
<p>The research directions of the 1,013 papers were classified and summarized according to ICD-11. <xref ref-type="table" rid="T1">Table 1</xref> shows the top 10 diseases studied. Neoplasm was the most popular research topic related to the crosstalk between miRNAs and circRNAs (<italic>n</italic> = 750 publications; 74.04% of the total number of publications) and had an h-index of 56; this topic was followed by diseases of the circulatory system (<italic>n</italic> = 62 publications; h-index = 17) and musculoskeletal system or connective tissue (<italic>n</italic> = 57 publications; h-index = 15).</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>The top 10 diseases ranked by number of publications.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold>Rank</bold></td>
<td valign="top" align="left"><bold>Disease</bold></td>
<td valign="top" align="center"><bold>Publication</bold></td>
<td valign="top" align="center"><bold>Citations</bold></td>
<td valign="top" align="center"><bold>H-index</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Neoplasms</td>
<td valign="top" align="center">750</td>
<td valign="top" align="center">15435</td>
<td valign="top" align="center">56</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Diseases of the circulatory system</td>
<td valign="top" align="center">62</td>
<td valign="top" align="center">1756</td>
<td valign="top" align="center">17</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Diseases of the musculoskeletal system or connective tissue</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">1031</td>
<td valign="top" align="center">15</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Diseases of the nervous system</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">557</td>
<td valign="top" align="center">10</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Diseases of the visual system</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">120</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Diseases of the respiratory system</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">4</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Diseases of the digestive system</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">141</td>
<td valign="top" align="center">4</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">Certain infectious or parasitic diseases</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">78</td>
<td valign="top" align="center">4</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Endocrine, nutritional or metabolic diseases</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">425</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">Symptoms, signs or clinical findings, not elsewhere classified</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">64</td>
<td valign="top" align="center">3</td>
</tr>
</tbody>
</table></table-wrap>
</sec>
<sec id="S3.SS3">
<title>Distribution by Journals</title>
<p>A total of 244 journals contributed the 1,013 papers included in this study. Among the top 10 journals ranked by number of publications (<xref ref-type="table" rid="T2">Table 2</xref>), <italic>Biochemical and Biophysical Research Communications</italic> contributed the greatest number of publications (<italic>n</italic> = 64) and had the highest h-index (33), followed by <italic>European Review for Medical and Pharmacological Sciences</italic> (<italic>n</italic> = 43 publications) and <italic>Journal of Cellular Biochemistry</italic> (<italic>n</italic> = 38 publications). The IF of the top 10 journals ranged from 2.886 to 15.302 (mean = 5.4113). Among the journals contributing publications on the crosstalk between miRNAs and circRNAs in human diseases, <italic>Molecular Cancer</italic> (<italic>n</italic> = 26 publications) had the highest IF (IF 2019 = 15.302), followed by <italic>Molecular Therapy-Nucleic Acids</italic> (<italic>n</italic> = 28 publications; IF 2019 = 7.032) and <italic>Cell Death and Disease</italic> (<italic>n</italic> = 25 publications; IF 2019 = 6.304). Among the top 10 journals, 33.33% JIF quartile were Q1, 46.67% were Q2 and 20% were Q3.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>The top 10 journals ranked by number of publications.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold>Rank</bold></td>
<td valign="top" align="left"><bold>Journal</bold></td>
<td valign="top" align="center"><bold>Publication</bold></td>
<td valign="top" align="center"><bold>H-index</bold></td>
<td valign="top" align="center"><bold>JIF (2019)</bold></td>
<td valign="top" align="left"><bold>Category (Web of Science)</bold></td>
<td valign="top" align="left"><bold>JIF Quartile (2019)</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Biochemical and Biophysical Research Communications</td>
<td valign="top" align="center">64</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">2.985</td>
<td valign="top" align="left">Biochemistry and molecular biology biophysics</td>
<td valign="top" align="left">Q3; Q2</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">European Review for Medical and Pharmacological Sciences</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">3.024</td>
<td valign="top" align="left">Pharmacology and pharmacy</td>
<td valign="top" align="left">Q2</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Journal of Cellular Biochemistry</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">4.237</td>
<td valign="top" align="left">Cell biology biochemistry and molecular biology</td>
<td valign="top" align="left">Q2; Q2</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Oncotargets and Therapy</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">3.337</td>
<td valign="top" align="left">Oncology biotechnology and applied microbiology</td>
<td valign="top" align="left">Q3; Q2</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Cancer Cell International</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">4.175</td>
<td valign="top" align="left">Oncology</td>
<td valign="top" align="left">Q2</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Aging-US</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">4.831</td>
<td valign="top" align="left">Geriatrics and gerontology cell biology</td>
<td valign="top" align="left">Q1; Q2</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Cancer Management and Research</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">2.886</td>
<td valign="top" align="left">Oncology</td>
<td valign="top" align="left">Q3</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">Molecular Therapy-Nucleic Acids</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">7.032</td>
<td valign="top" align="left">Medicine, research and experimental</td>
<td valign="top" align="left">Q1</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Molecular Cancer</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">15.302</td>
<td valign="top" align="left">Oncology biochemistry and molecular biology</td>
<td valign="top" align="left">Q1; Q1</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">Cell Death and Disease</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">6.304</td>
<td valign="top" align="left">Cell biology</td>
<td valign="top" align="left">Q1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>JIF, journal impact factor.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>A dual map of journals presenting contributions and connections between disciplines is shown in <xref ref-type="fig" rid="F2">Figure 2</xref>. The left-hand side of the map presents citing journals, whereas the right-hand side presents cited journals. The 1,013 papers obtained from our database search were mostly published in journals dedicated to molecular, biology and immunology field, and cited journal publications on molecular, biology, and genetics field.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>The dual-map overlay of journals that published articles on the crosstalk between microRNAs and circular RNAs.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcell-09-754880-g002.tif"/>
</fig>
</sec>
<sec id="S3.SS4">
<title>Distribution by Countries and Institutions</title>
<p>In total, 30 countries and 748 institutions contributed to the related research, and the details of each item can be found in <xref ref-type="supplementary-material" rid="TS1">Supplementary Tables 1</xref>, <xref ref-type="table" rid="T2">2</xref>. <xref ref-type="fig" rid="F3">Figures 3A,B</xref>, respectively, show the contributions and collaborations by country and by institution. The distribution of countries is presented in <xref ref-type="fig" rid="F4">Figure 4</xref>. <xref ref-type="table" rid="T3">Table 3</xref> shows the top 10 countries ranked by distribution of publications. China contributed 96.84% of the 1,013 papers (<italic>n</italic> = 981 publications), with a high centrality of 0.57. The United States revealed the highest centrality (0.59) and contributed the second highest number of publications (<italic>n</italic> = 42).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>The analysis of countries/regions and institutions. <bold>(A)</bold> Network map of countries/regions engaged in research on the crosstalk between microRNAs and circular RNAs; <bold>(B)</bold> Network map of institutions engaged in research on the crosstalk between microRNAs and circular RNAs.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcell-09-754880-g003.tif"/>
</fig>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>World map of countries/regions that published articles on the crosstalk between microRNAs and circular RNAs.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcell-09-754880-g004.tif"/>
</fig>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>The top 10 countries ranked by number of publications.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold>Rank</bold></td>
<td valign="top" align="center"><bold>Country</bold></td>
<td valign="top" align="center"><bold>Publication</bold></td>
<td valign="top" align="center"><bold>Centrality</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="center">China&#x002A;</td>
<td valign="top" align="center">981</td>
<td valign="top" align="center">0.57</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">United States</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">0.59</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="center">Germany</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">0.10</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="center">Italy</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.10</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="center">Japan</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="center">Australia</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="center">Netherlands</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="center">Canada</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="center">Denmark</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="center">England</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.00</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>&#x002A;Includes the data of Taiwan (5 publications).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>The top 10 institutions ranked by number of publications were all universities in China (<xref ref-type="table" rid="T4">Table 4</xref>). Among these institutions, Nanjing Medical University ranked first (<italic>n</italic> = 72 publications), followed by Zhengzhou University (<italic>n</italic> = 43 publications) and Sun Yat-sen University (<italic>n</italic> = 41 publications).</p>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>The top 10 institutions ranked by number of publications.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold>Rank</bold></td>
<td valign="top" align="left"><bold>Institution</bold></td>
<td valign="top" align="left"><bold>Publication</bold></td>
<td valign="top" align="left"><bold>Country</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Nanjing Medical University</td>
<td valign="top" align="left">72</td>
<td valign="top" align="left">China</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Zhengzhou University</td>
<td valign="top" align="left">43</td>
<td valign="top" align="left">China</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Sun Yat-sen University</td>
<td valign="top" align="left">41</td>
<td valign="top" align="left">China</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Fudan University</td>
<td valign="top" align="left">40</td>
<td valign="top" align="left">China</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">China Medical University</td>
<td valign="top" align="left">37</td>
<td valign="top" align="left">China</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Harbin Medical University</td>
<td valign="top" align="left">36</td>
<td valign="top" align="left">China</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Southern Medical University</td>
<td valign="top" align="left">34</td>
<td valign="top" align="left">China</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">Shanghai Jiao Tong University</td>
<td valign="top" align="left">32</td>
<td valign="top" align="left">China</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Shandong University</td>
<td valign="top" align="left">30</td>
<td valign="top" align="left">China</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">Huazhong University of Science and Technology</td>
<td valign="top" align="left">24</td>
<td valign="top" align="left">China</td>
</tr>
</tbody>
</table></table-wrap>
</sec>
<sec id="S3.SS5">
<title>Analysis of Keywords</title>
<p>The top 20 keywords with the strongest citation bursts at different time periods are shown in <xref ref-type="fig" rid="F5">Figure 5</xref>. Messenger RNA was the first keyword with the strongest citation burst, which began in 2011 and ended in 2016. Glioblastoma, mir-7, skeletal muscle, and ncRNA were keywords with strong citation bursts that lasted until 2020. Among these four keywords, glioblastoma revealed the highest strength (3.5635) and was the first to burst (in 2013).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>The top 20 keywords with the strongest citation bursts of publications on the crosstalk between microRNAs and circular RNAs.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcell-09-754880-g005.tif"/>
</fig>
</sec>
<sec id="S3.SS6">
<title>Analysis of References</title>
<p>References are an indispensable part of publications. <xref ref-type="fig" rid="F6">Figure 6</xref> illustrates a timeline view of references in the 1,013 publications related to the crosstalk between microRNAs and circRNAs in human diseases. The timeline view was constructed using CiteSpace, and the cluster labels were extracted from the keywords. <xref ref-type="fig" rid="F6">Figure 6</xref> shows the top 8 clusters, the first of which is marked #0. Gastric cancer revealed the largest cluster, followed by miRNA sponge (#1), ovarian cancer (#2), and glioma (#3).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption><p>The analysis of references. Co-citation map (timeline view) of references from publications on the crosstalk between microRNAs and circular RNAs.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcell-09-754880-g006.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="S4">
<title>Discussion</title>
<p>In this study, we performed a bibliographic analysis of studies on the crosstalk between miRNAs and circRNAs and found that research on this topic is well underway. circRNAs can communicate and co-regulate with miRNAs to regulate gene expression. Hansen and his colleagues published the first paper on the crosstalk between ciRS-7 and miR-671 in 2011 (<xref ref-type="bibr" rid="B14">Hansen et al., 2011</xref>). However, the number of publications on this subject exceed 10 per year until 2016. Thereafter, publications exceeded 100 papers per year in 2018 and reached 535 papers per year in 2020.</p>
<p>The mechanisms of crosstalk between miRNAs and circRNAs are incompletely understood. miRNAs and circRNAs have been proven to interact in the pathological process of many human diseases, including cancer, osteoarthritis (OA) and neuropathic pain (NP). circRNAs sponging miRNAs was a frequently mentioned mechanism of the crosstalk between circRNAs and miRNAs in human diseases. <xref ref-type="bibr" rid="B48">Zheng et al. (2016)</xref> revealed that circHIPK3, a circRNAs differently expresses between cancer and normal tissues, has 18 potential binding sites and can sponge 9 miRNAs to modulate human cell proliferation. <xref ref-type="bibr" rid="B25">Liu et al. (2016)</xref> reported that circRNA-CER competitively binds miR-136 to regulated MMP13 expression and participated in the degradation of chondrocyte extracellular matrix. Several circRNAs have been confirmed to regulate mRNA expression by sponge miRNAs, and then involved in neuroinflammation, neuronal autophagy, cell proliferation, and central sensitization in NP (<xref ref-type="bibr" rid="B35">Song et al., 2020</xref>). About the mechanisms of cancer, Hanse found miR-671 can directionally cleave ciRS-7 to release miR-7 that sponged by ciRS-7 (<xref ref-type="bibr" rid="B13">Hansen et al., 2013b</xref>). However, few studies researched the mechanism of miRNAs mediating circRNAs.</p>
<p>Neoplasms are the most common condition associated with research on the crosstalk between miRNAs and circRNAs; indeed, articles discussing neoplasms made up 74.04% of the total number of publications obtained, with a high h-index (56). Han and his colleagues revealed that circMTO1 inhibits the process of hepatocellular carcinoma by sponging miR-9 (<xref ref-type="bibr" rid="B11">Han et al., 2017</xref>). Zhang and his colleagues found that circFGFR1 upregulates the expression of CXCR4, the miR-381-3p target gene, to promote the progression of non-small cell lung cancer by miR-381-3p (<xref ref-type="bibr" rid="B47">Zhang et al., 2019b</xref>). The research findings of <xref ref-type="bibr" rid="B44">Zhang et al. (2017)</xref> were published in <italic>Molecular Cancer</italic>, which had the highest IF among the top 10 journals ranked by number of publications. Interactions between miRNAs and circRNAs have also been explored in other types of neoplasms, such as gastric cancer, breast cancer (<xref ref-type="bibr" rid="B43">Yang et al., 2019</xref>) and glioma (<xref ref-type="bibr" rid="B41">Xu et al., 2018</xref>). Most of the related research focuses on malignant tumors and the mechanism of circRNA as a miRNA sponge.</p>
<p><italic>Biochemical and Biophysical Research Communications</italic> contributed the most to research on the crosstalk between miRNAs and circRNAs by publishing 64 articles with the highest h-index (33). However, in terms of IF, this journal placed ninth among the top 10 journals ranked by number of publications. <italic>Molecular Cancer</italic>, the IF of which was 15.302, was the only journal with an IF greater than 10 among the top 10 journals. Although the IF of the top 10 journals was not high, JIF Quartile shown that these journals ranked well in corresponding categories (33.33% of Q1 and 46.67% of Q2). These results suggest that the quality of most publications was reliable, but more high quality and ground-breaking researches are needed in this field. Furthermore, the crosstalk between circRNAs and miRNAs is a relatively new field, and it may be a possible reason for these results.</p>
<p>China is the major country contributing research on the crosstalk between miRNAs and circRNAs in human diseases. The country published 981 papers (96.84% of the total number of articles included in this work) and showed fairly high centrality (0.57). The United States ranked second in terms of countries with the greatest number of publications; the country published 42 papers and demonstrated the highest centrality (0.59) among the countries compared. Interestingly, China noticeably contributed more publications than the United States, but the centrality of the former was lower than that of the latter. This finding may be explained by the vast number of articles published by China alone, which could result in low centrality. The top 10 institutions ranked by number of publications were all Chinese universities, among which Nanjing Medical University ranked first, with 72 publications. Therefore, China is the leading country in research on the crosstalk between miRNAs and circRNAs in human diseases, and universities are the main institutional form in this field.</p>
<p>According to CiteSpace V, &#x201C;glioblastoma,&#x201D; &#x201C;miR-7,&#x201D; &#x201C;skeletal muscle,&#x201D; and &#x201C;non-coding RNA&#x201D; are the most popular keywords in the related research; these terms indicate potential research hotspots and frontiers. The four potential frontiers of research on the crosstalk between miRNAs and circRNAs in human diseases are as follows:</p>
<list list-type="simple">
<list-item>
<label>(1)</label>
<p>Glioblastoma: Glioblastoma multiforme (GBM), the most common type of brain cancer, is also known as grade IV glioma; the disease has a short overall survival time and high malignancy (<xref ref-type="bibr" rid="B38">Westphal and Lamszus, 2011</xref>; <xref ref-type="bibr" rid="B28">Louis et al., 2016</xref>). Although therapeutic strategies for this disease have been improved, GBM remains difficult to treat (<xref ref-type="bibr" rid="B30">Omuro and DeAngelis, 2013</xref>). circRNAs and miRNAs play important roles in many malignancies, and their crosstalk in GBM remains unclear. Thus, research on this field has great potential therapeutic significance.</p>
</list-item>
<list-item>
<label>(2)</label>
<p>MiR-7: miR-7 can modulate the expression of several oncogenes, and changes in miR-7 activity can affect the progression of cancer (<xref ref-type="bibr" rid="B13">Hansen et al., 2013b</xref>). The mechanism underlying the crosstalk between circRNAs and miR-7 in human diseases is a research hotspot.</p>
</list-item>
<list-item>
<label>(3)</label>
<p>Skeletal muscle: Skeletal muscle, which contains 50&#x2013;75% of all proteins in the human body, accounts for approximately 40% of the human body weight. Skeletal muscle is closely related to human locomotion and metabolism, and skeletal muscle diseases can severely affect a patient&#x2019;s quality of life (<xref ref-type="bibr" rid="B8">Frontera and Ochala, 2015</xref>). circRNAs and miRNAs can regulate the development of skeletal muscle, and the crosstalk between these RNAs is a research frontier (<xref ref-type="bibr" rid="B10">Ge and Chen, 2011</xref>; <xref ref-type="bibr" rid="B46">Zhang et al., 2019a</xref>).</p>
</list-item>
<list-item>
<label>(4)</label>
<p>Non-coding RNA: Research conducted over the last decade has reported that ncRNAs are involved in several physiological and pathological processes. circRNAs and miRNAs are two types of ncRNAs that do not code proteins but can regulate gene expression. The effect of crosstalk between circRNAs and miRNAs on the complex and unknown regulatory networks of ncRNA must be further investigated (<xref ref-type="bibr" rid="B31">Panni et al., 2020</xref>).</p>
</list-item>
</list>
<p>According to our analysis of keywords and references, research on the crosstalk between circRNAs and miRNAs mainly focuses on cancer, including glioma, gastric cancer, and ovarian cancer, and the related sponge mechanism. Journals in molecular, biology and genetics field were the main source of references for the published research. Most publications were published in journals dedicated to molecular, biology and immunology field.</p>
<p>To the best of our knowledge, this study is the first to use CiteSpace to perform a bibliographic analysis of publications on the crosstalk between miRNAs and circRNAs. However, this study presents some limitations. First, SCI-E of WoS, although an authoritative and comprehensive database in the medical field, was the only resource we selected for data acquisition; thus, some important findings published in other databases may have been missed. Second, the contributions and collaborations of authors were not analyzed because most of the authors were from China and different Chinese names could be translated to the same English name. Third, this study lacked an assessment of the overall quality of publications.</p>
</sec>
<sec sec-type="conclusion" id="S5">
<title>Conclusion</title>
<p>A total of 1,013 papers on the crosstalk between miRNAs and circRNAs in human diseases were published. The first paper was published in 2011 and initiated research in this field. The quality of most publications was relatively well in this field, but high-impact researches were needed. <italic>Biochemical and Biophysical Research Communications</italic> contributed the most to this field in terms of number of publications, and China produced the largest amount of research on this topic. In terms of institution, Nanjing Medical University published the largest number of related articles. At present, cancer is the most popular research area related to the crosstalk between miRNAs and circRNAs in human diseases. The latest burst keywords are &#x201C;glioblastoma,&#x201D; &#x201C;miR-7,&#x201D; &#x201C;skeletal muscle,&#x201D; and &#x201C;non-coding RNA.&#x201D; As far as we know, no bibliographic analysis has been conducted for publications on the crosstalk between circRNAs and miRNAs before. This study may provide researchers important clues on research trends and frontiers in this field.</p>
</sec>
<sec sec-type="data-availability" id="S6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="FS1">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="S7">
<title>Author Contributions</title>
<p>Y-MC and X-QW: conceptualization and visualization. Y-MC: data curation, formal analysis, methodology, and writing &#x2013; original draft. X-QW: funding acquisition and supervision. Y-MC, Y-LZ, XS, and X-QW: validation. Y-MC, Y-LZ, and XS: writing, review, and editing. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="S8">
<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>
</body>
<back>
<sec sec-type="funding-information" id="S10">
<title>Funding</title>
<p>This research was funded by the National Natural Science Foundation of China, grant number 81871844; Shuguang Program supported by Shanghai Education Development Foundation and Shanghai Municipal Education Commission, grant number 18SG48; the Shanghai Municipal Commission of Health and Family Planning, grant number 201840346; the Shanghai Key Lab of Human Performance (Shanghai University of Sport), grant number 11DZ2261100; and Shanghai Frontiers Science Research Base of Exercise and Metabolic Health.</p>
</sec>
<sec id="S9" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcell.2021.754880/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcell.2021.754880/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image_1.JPEG" id="FS1" mimetype="image/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 1</label>
<caption><p>Flowchart of literature selection on the crosstalk between microRNAs and circular RNAs in human diseases.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Table_1.DOCX" id="TS1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_2.DOCX" id="TS2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Aufiero</surname> <given-names>S.</given-names></name> <name><surname>Reckman</surname> <given-names>Y. J.</given-names></name> <name><surname>Pinto</surname> <given-names>Y. M.</given-names></name> <name><surname>Creemers</surname> <given-names>E. E.</given-names></name></person-group> (<year>2019</year>). <article-title>Circular RNAs open a new chapter in cardiovascular biology.</article-title> <source><italic>Nat. Rev. Cardiol.</italic></source> <volume>16</volume> <fpage>503</fpage>&#x2013;<lpage>514</lpage>. <pub-id pub-id-type="doi">10.1038/s41569-019-0185-2</pub-id> <pub-id pub-id-type="pmid">30952956</pub-id></citation></ref>
<ref id="B2"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bartel</surname> <given-names>D. P.</given-names></name></person-group> (<year>2004</year>). <article-title>MicroRNAs: genomics, biogenesis, mechanism, and function.</article-title> <source><italic>Cell</italic></source> <volume>116</volume> <fpage>281</fpage>&#x2013;<lpage>297</lpage>. <pub-id pub-id-type="doi">10.1016/s0092-8674(04)00045-5</pub-id></citation></ref>
<ref id="B3"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bartel</surname> <given-names>D. P.</given-names></name></person-group> (<year>2009</year>). <article-title>MicroRNAs: target recognition and regulatory functions.</article-title> <source><italic>Cell</italic></source> <volume>136</volume> <fpage>215</fpage>&#x2013;<lpage>233</lpage>. <pub-id pub-id-type="doi">10.1016/j.cell.2009.01.002</pub-id> <pub-id pub-id-type="pmid">19167326</pub-id></citation></ref>
<ref id="B4"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>C.</given-names></name></person-group> (<year>2006</year>). <article-title>CiteSpace II: detecting and visualizing emerging trends and transient patterns in scientific literature.</article-title> <source><italic>J. Am. Soc. Inform. Sci. Technol.</italic></source> <volume>57</volume> <fpage>359</fpage>&#x2013;<lpage>377</lpage>. <pub-id pub-id-type="doi">10.1002/asi.20317</pub-id></citation></ref>
<ref id="B5"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Colpaert</surname> <given-names>R. M. W.</given-names></name> <name><surname>Calore</surname> <given-names>M.</given-names></name></person-group> (<year>2019</year>). <article-title>MicroRNAs in cardiac diseases.</article-title> <source><italic>Cells</italic></source> <volume>8</volume>:<issue>737</issue>. <pub-id pub-id-type="doi">10.3390/cells8070737</pub-id> <pub-id pub-id-type="pmid">31323768</pub-id></citation></ref>
<ref id="B6"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fitzsimons</surname> <given-names>S.</given-names></name> <name><surname>Oggero</surname> <given-names>S.</given-names></name> <name><surname>Bruen</surname> <given-names>R.</given-names></name> <name><surname>McCarthy</surname> <given-names>C.</given-names></name> <name><surname>Strowitzki</surname> <given-names>M. J.</given-names></name> <name><surname>Mahon</surname> <given-names>N. G.</given-names></name><etal/></person-group> (<year>2020</year>). <article-title>microRNA-155 is decreased during atherosclerosis regression and is increased in urinary extracellular vesicles during atherosclerosis progression.</article-title> <source><italic>Front. Immunol.</italic></source> <volume>11</volume>:<issue>576516</issue>. <pub-id pub-id-type="doi">10.3389/fimmu.2020.576516</pub-id> <pub-id pub-id-type="pmid">33391256</pub-id></citation></ref>
<ref id="B7"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Floris</surname> <given-names>G.</given-names></name> <name><surname>Zhang</surname> <given-names>L.</given-names></name> <name><surname>Follesa</surname> <given-names>P.</given-names></name> <name><surname>Sun</surname> <given-names>T.</given-names></name></person-group> (<year>2017</year>). <article-title>Regulatory role of circular RNAs and neurological disorders.</article-title> <source><italic>Mol. Neurobiol.</italic></source> <volume>54</volume> <fpage>5156</fpage>&#x2013;<lpage>5165</lpage>. <pub-id pub-id-type="doi">10.1007/s12035-016-0055-4</pub-id> <pub-id pub-id-type="pmid">27558238</pub-id></citation></ref>
<ref id="B8"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Frontera</surname> <given-names>W. R.</given-names></name> <name><surname>Ochala</surname> <given-names>J.</given-names></name></person-group> (<year>2015</year>). <article-title>Skeletal muscle: a brief review of structure and function.</article-title> <source><italic>Calcif Tissue Int.</italic></source> <volume>96</volume> <fpage>183</fpage>&#x2013;<lpage>195</lpage>. <pub-id pub-id-type="doi">10.1007/s00223-014-9915-y</pub-id> <pub-id pub-id-type="pmid">25294644</pub-id></citation></ref>
<ref id="B9"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Garfield</surname> <given-names>E.</given-names></name></person-group> (<year>2006</year>). <article-title>The history and meaning of the journal impact factor.</article-title> <source><italic>JAMA</italic></source> <volume>295</volume> <fpage>90</fpage>&#x2013;<lpage>93</lpage>. <pub-id pub-id-type="doi">10.1001/jama.295.1.90</pub-id> <pub-id pub-id-type="pmid">16391221</pub-id></citation></ref>
<ref id="B10"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ge</surname> <given-names>Y.</given-names></name> <name><surname>Chen</surname> <given-names>J.</given-names></name></person-group> (<year>2011</year>). <article-title>MicroRNAs in skeletal myogenesis.</article-title> <source><italic>Cell Cycle</italic></source> <volume>10</volume> <fpage>441</fpage>&#x2013;<lpage>448</lpage>. <pub-id pub-id-type="doi">10.4161/cc.10.3.14710</pub-id> <pub-id pub-id-type="pmid">21270519</pub-id></citation></ref>
<ref id="B11"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Han</surname> <given-names>D.</given-names></name> <name><surname>Li</surname> <given-names>J.</given-names></name> <name><surname>Wang</surname> <given-names>H.</given-names></name> <name><surname>Su</surname> <given-names>X.</given-names></name> <name><surname>Hou</surname> <given-names>J.</given-names></name> <name><surname>Gu</surname> <given-names>Y.</given-names></name><etal/></person-group> (<year>2017</year>). <article-title>Circular RNA circMTO1 acts as the sponge of microRNA-9 to suppress hepatocellular carcinoma progression.</article-title> <source><italic>Hepatology</italic></source> <volume>66</volume> <fpage>1151</fpage>&#x2013;<lpage>1164</lpage>. <pub-id pub-id-type="doi">10.1002/hep.29270</pub-id> <pub-id pub-id-type="pmid">28520103</pub-id></citation></ref>
<ref id="B12"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hansen</surname> <given-names>T. B.</given-names></name> <name><surname>Jensen</surname> <given-names>T. I.</given-names></name> <name><surname>Clausen</surname> <given-names>B. H.</given-names></name> <name><surname>Bramsen</surname> <given-names>J. B.</given-names></name> <name><surname>Finsen</surname> <given-names>B.</given-names></name> <name><surname>Damgaard</surname> <given-names>C. K.</given-names></name><etal/></person-group> (<year>2013a</year>). <article-title>Natural RNA circles function as efficient microRNA sponges.</article-title> <source><italic>Nature</italic></source> <volume>495</volume> <fpage>384</fpage>&#x2013;<lpage>388</lpage>. <pub-id pub-id-type="doi">10.1038/nature11993</pub-id> <pub-id pub-id-type="pmid">23446346</pub-id></citation></ref>
<ref id="B13"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hansen</surname> <given-names>T. B.</given-names></name> <name><surname>Kjems</surname> <given-names>J.</given-names></name> <name><surname>Damgaard</surname> <given-names>C. K.</given-names></name></person-group> (<year>2013b</year>). <article-title>Circular RNA and miR-7 in cancer.</article-title> <source><italic>Cancer Res.</italic></source> <volume>73</volume> <fpage>5609</fpage>&#x2013;<lpage>5612</lpage>. <pub-id pub-id-type="doi">10.1158/0008-5472.CAN-13-1568</pub-id> <pub-id pub-id-type="pmid">24014594</pub-id></citation></ref>
<ref id="B14"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hansen</surname> <given-names>T. B.</given-names></name> <name><surname>Wiklund</surname> <given-names>E. D.</given-names></name> <name><surname>Bramsen</surname> <given-names>J. B.</given-names></name> <name><surname>Villadsen</surname> <given-names>S. B.</given-names></name> <name><surname>Statham</surname> <given-names>A. L.</given-names></name> <name><surname>Clark</surname> <given-names>S. J.</given-names></name><etal/></person-group> (<year>2011</year>). <article-title>miRNA-dependent gene silencing involving Ago2-mediated cleavage of a circular antisense RNA.</article-title> <source><italic>EMBO J.</italic></source> <volume>30</volume> <fpage>4414</fpage>&#x2013;<lpage>4422</lpage>. <pub-id pub-id-type="doi">10.1038/emboj.2011.359</pub-id> <pub-id pub-id-type="pmid">21964070</pub-id></citation></ref>
<ref id="B15"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hirsch</surname> <given-names>J. E.</given-names></name></person-group> (<year>2005</year>). <article-title>An index to quantify an individual&#x2019;s scientific research output.</article-title> <source><italic>Proc. Natl. Acad. Sci. U. S. A.</italic></source> <volume>102</volume> <fpage>16569</fpage>&#x2013;<lpage>16572</lpage>. <pub-id pub-id-type="doi">10.1073/pnas.0507655102</pub-id> <pub-id pub-id-type="pmid">16275915</pub-id></citation></ref>
<ref id="B16"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname> <given-names>J. L.</given-names></name> <name><surname>Su</surname> <given-names>M.</given-names></name> <name><surname>Wu</surname> <given-names>D. P.</given-names></name></person-group> (<year>2020</year>). <article-title>Functional roles of circular RNAs in Alzheimer&#x2019;s disease.</article-title> <source><italic>Ageing Res. Rev.</italic></source> <volume>60</volume>:<issue>101058</issue>. <pub-id pub-id-type="doi">10.1016/j.arr.2020.101058</pub-id> <pub-id pub-id-type="pmid">32234545</pub-id></citation></ref>
<ref id="B17"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Iacona</surname> <given-names>J. R.</given-names></name> <name><surname>Lutz</surname> <given-names>C. S.</given-names></name></person-group> (<year>2019</year>). <article-title>miR-146a-5p: expression, regulation, and functions in cancer.</article-title> <source><italic>Wiley Interdiscip. Rev. RNA</italic></source> <volume>10</volume>:<issue>e1533</issue>. <pub-id pub-id-type="doi">10.1002/wrna.1533</pub-id> <pub-id pub-id-type="pmid">30895717</pub-id></citation></ref>
<ref id="B18"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Iqbal</surname> <given-names>M. A.</given-names></name> <name><surname>Arora</surname> <given-names>S.</given-names></name> <name><surname>Prakasam</surname> <given-names>G.</given-names></name> <name><surname>Calin</surname> <given-names>G. A.</given-names></name> <name><surname>Syed</surname> <given-names>M. A.</given-names></name></person-group> (<year>2019</year>). <article-title>MicroRNA in lung cancer: role, mechanisms, pathways and therapeutic relevance.</article-title> <source><italic>Mol. Aspects Med.</italic></source> <volume>70</volume> <fpage>3</fpage>&#x2013;<lpage>20</lpage>. <pub-id pub-id-type="doi">10.1016/j.mam.2018.07.003</pub-id> <pub-id pub-id-type="pmid">30102929</pub-id></citation></ref>
<ref id="B19"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jeck</surname> <given-names>W. R.</given-names></name> <name><surname>Sorrentino</surname> <given-names>J. A.</given-names></name> <name><surname>Wang</surname> <given-names>K.</given-names></name> <name><surname>Slevin</surname> <given-names>M. K.</given-names></name> <name><surname>Burd</surname> <given-names>C. E.</given-names></name> <name><surname>Liu</surname> <given-names>J.</given-names></name><etal/></person-group> (<year>2013</year>). <article-title>Circular RNAs are abundant, conserved, and associated with ALU repeats.</article-title> <source><italic>RNA</italic></source> <volume>19</volume> <fpage>141</fpage>&#x2013;<lpage>157</lpage>. <pub-id pub-id-type="doi">10.1261/rna.035667.112</pub-id> <pub-id pub-id-type="pmid">23249747</pub-id></citation></ref>
<ref id="B20"><citation citation-type="journal"><collab>Journal Citation Reports</collab> (<year>2021</year>). <source><italic>Sign in to Continue with Journal Citation Reports.</italic></source> Available online at: <ext-link ext-link-type="uri" xlink:href="https://jcr.clarivate.com/jcr/home">https://jcr.clarivate.com/jcr/home</ext-link> <comment>(accessed September 19, 2021)</comment>.</citation></ref>
<ref id="B21"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kleaveland</surname> <given-names>B.</given-names></name> <name><surname>Shi</surname> <given-names>C. Y.</given-names></name> <name><surname>Stefano</surname> <given-names>J.</given-names></name> <name><surname>Bartel</surname> <given-names>D. P.</given-names></name></person-group> (<year>2018</year>). <article-title>A Network of noncoding regulatory RNAs acts in the mammalian brain.</article-title> <source><italic>Cell</italic></source> <volume>174</volume> <fpage>350</fpage>&#x2013;<lpage>362.e17</lpage>. <pub-id pub-id-type="doi">10.1016/j.cell.2018.05.022</pub-id> <pub-id pub-id-type="pmid">29887379</pub-id></citation></ref>
<ref id="B22"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kristensen</surname> <given-names>L. S.</given-names></name> <name><surname>Andersen</surname> <given-names>M. S.</given-names></name> <name><surname>Stagsted</surname> <given-names>L. V. W.</given-names></name> <name><surname>Ebbesen</surname> <given-names>K. K.</given-names></name> <name><surname>Hansen</surname> <given-names>T. B.</given-names></name> <name><surname>Kjems</surname> <given-names>J.</given-names></name></person-group> (<year>2019</year>). <article-title>The biogenesis, biology and characterization of circular RNAs.</article-title> <source><italic>Nat. Rev. Genet.</italic></source> <volume>20</volume> <fpage>675</fpage>&#x2013;<lpage>691</lpage>. <pub-id pub-id-type="doi">10.1038/s41576-019-0158-7</pub-id> <pub-id pub-id-type="pmid">31395983</pub-id></citation></ref>
<ref id="B23"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname> <given-names>R. C.</given-names></name> <name><surname>Feinbaum</surname> <given-names>R. L.</given-names></name> <name><surname>Ambros</surname> <given-names>V.</given-names></name></person-group> (<year>1993</year>). <article-title>The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14.</article-title> <source><italic>Cell</italic></source> <volume>75</volume> <fpage>843</fpage>&#x2013;<lpage>854</lpage>. <pub-id pub-id-type="doi">10.1016/0092-8674(93)90529-y</pub-id></citation></ref>
<ref id="B24"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>Z.</given-names></name> <name><surname>Huang</surname> <given-names>C.</given-names></name> <name><surname>Bao</surname> <given-names>C.</given-names></name> <name><surname>Chen</surname> <given-names>L.</given-names></name> <name><surname>Lin</surname> <given-names>M.</given-names></name> <name><surname>Wang</surname> <given-names>X.</given-names></name><etal/></person-group> (<year>2015</year>). <article-title>Exon-intron circular RNAs regulate transcription in the nucleus.</article-title> <source><italic>Nat. Struct. Mol. Biol.</italic></source> <volume>22</volume> <fpage>256</fpage>&#x2013;<lpage>264</lpage>. <pub-id pub-id-type="doi">10.1038/nsmb.2959</pub-id> <pub-id pub-id-type="pmid">25664725</pub-id></citation></ref>
<ref id="B25"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>Q.</given-names></name> <name><surname>Zhang</surname> <given-names>X.</given-names></name> <name><surname>Hu</surname> <given-names>X.</given-names></name> <name><surname>Dai</surname> <given-names>L.</given-names></name> <name><surname>Fu</surname> <given-names>X.</given-names></name> <name><surname>Zhang</surname> <given-names>J.</given-names></name><etal/></person-group> (<year>2016</year>). <article-title>Circular RNA related to the chondrocyte ECM regulates MMP13 expression by functioning as a MiR-136 &#x2018;Sponge&#x2019; in human cartilage degradation.</article-title> <source><italic>Sci. Rep.</italic></source> <volume>6</volume>:<issue>22572</issue>. <pub-id pub-id-type="doi">10.1038/srep22572</pub-id> <pub-id pub-id-type="pmid">26931159</pub-id></citation></ref>
<ref id="B26"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>S.</given-names></name> <name><surname>Sun</surname> <given-names>Y. P.</given-names></name> <name><surname>Gao</surname> <given-names>X. L.</given-names></name> <name><surname>Sui</surname> <given-names>Y.</given-names></name></person-group> (<year>2019</year>). <article-title>Knowledge domain and emerging trends in Alzheimer&#x2019;s disease: a scientometric review based on citespace analysis.</article-title> <source><italic>Neural. Regen. Res.</italic></source> <volume>14</volume> <fpage>1643</fpage>&#x2013;<lpage>1650</lpage>. <pub-id pub-id-type="doi">10.4103/1673-5374.255995</pub-id> <pub-id pub-id-type="pmid">31089065</pub-id></citation></ref>
<ref id="B27"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lopez-Gonzalez</surname> <given-names>M. J.</given-names></name> <name><surname>Landry</surname> <given-names>M.</given-names></name> <name><surname>Favereaux</surname> <given-names>A.</given-names></name></person-group> (<year>2017</year>). <article-title>MicroRNA and chronic pain: from mechanisms to therapeutic potential.</article-title> <source><italic>Pharmacol. Ther.</italic></source> <volume>180</volume> <fpage>1</fpage>&#x2013;<lpage>15</lpage>. <pub-id pub-id-type="doi">10.1016/j.pharmthera.2017.06.001</pub-id> <pub-id pub-id-type="pmid">28579386</pub-id></citation></ref>
<ref id="B28"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Louis</surname> <given-names>D. N.</given-names></name> <name><surname>Perry</surname> <given-names>A.</given-names></name> <name><surname>Reifenberger</surname> <given-names>G.</given-names></name> <name><surname>von Deimling</surname> <given-names>A.</given-names></name> <name><surname>Figarella-Branger</surname> <given-names>D.</given-names></name> <name><surname>Cavenee</surname> <given-names>W. K.</given-names></name><etal/></person-group> (<year>2016</year>). <article-title>The 2016 World Health Organization classification of tumors of the central nervous system: a summary.</article-title> <source><italic>Acta Neuropathol.</italic></source> <volume>131</volume> <fpage>803</fpage>&#x2013;<lpage>820</lpage>. <pub-id pub-id-type="doi">10.1007/s00401-016-1545-1</pub-id> <pub-id pub-id-type="pmid">27157931</pub-id></citation></ref>
<ref id="B29"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Memczak</surname> <given-names>S.</given-names></name> <name><surname>Jens</surname> <given-names>M.</given-names></name> <name><surname>Elefsinioti</surname> <given-names>A.</given-names></name> <name><surname>Torti</surname> <given-names>F.</given-names></name> <name><surname>Krueger</surname> <given-names>J.</given-names></name> <name><surname>Rybak</surname> <given-names>A.</given-names></name><etal/></person-group> (<year>2013</year>). <article-title>Circular RNAs are a large class of animal RNAs with regulatory potency.</article-title> <source><italic>Nature</italic></source> <volume>495</volume> <fpage>333</fpage>&#x2013;<lpage>338</lpage>. <pub-id pub-id-type="doi">10.1038/nature11928</pub-id> <pub-id pub-id-type="pmid">23446348</pub-id></citation></ref>
<ref id="B30"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Omuro</surname> <given-names>A.</given-names></name> <name><surname>DeAngelis</surname> <given-names>L. M.</given-names></name></person-group> (<year>2013</year>). <article-title>Glioblastoma and other malignant gliomas: a clinical review.</article-title> <source><italic>JAMA</italic></source> <volume>310</volume> <fpage>1842</fpage>&#x2013;<lpage>1850</lpage>. <pub-id pub-id-type="doi">10.1001/jama.2013.280319</pub-id> <pub-id pub-id-type="pmid">24193082</pub-id></citation></ref>
<ref id="B31"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Panni</surname> <given-names>S.</given-names></name> <name><surname>Lovering</surname> <given-names>R. C.</given-names></name> <name><surname>Porras</surname> <given-names>P.</given-names></name> <name><surname>Orchard</surname> <given-names>S.</given-names></name></person-group> (<year>2020</year>). <article-title>Non-coding RNA regulatory networks.</article-title> <source><italic>Biochim. Biophys. Acta Gene Regul. Mech.</italic></source> <volume>1863</volume>:<issue>194417</issue>. <pub-id pub-id-type="doi">10.1016/j.bbagrm.2019.194417</pub-id> <pub-id pub-id-type="pmid">31493559</pub-id></citation></ref>
<ref id="B32"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Patop</surname> <given-names>I. L.</given-names></name> <name><surname>Kadener</surname> <given-names>S.</given-names></name></person-group> (<year>2018</year>). <article-title>circRNAs in Cancer.</article-title> <source><italic>Curr. Opin. Genet. Dev.</italic></source> <volume>48</volume> <fpage>121</fpage>&#x2013;<lpage>127</lpage>. <pub-id pub-id-type="doi">10.1016/j.gde.2017.11.007</pub-id> <pub-id pub-id-type="pmid">29245064</pub-id></citation></ref>
<ref id="B33"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Piwecka</surname> <given-names>M.</given-names></name> <name><surname>Glazar</surname> <given-names>P.</given-names></name> <name><surname>Hernandez-Miranda</surname> <given-names>L. R.</given-names></name> <name><surname>Memczak</surname> <given-names>S.</given-names></name> <name><surname>Wolf</surname> <given-names>S. A.</given-names></name> <name><surname>Rybak-Wolf</surname> <given-names>A.</given-names></name><etal/></person-group> (<year>2017</year>). <article-title>Loss of a mammalian circular RNA locus causes miRNA deregulation and affects brain function.</article-title> <source><italic>Science</italic></source> <volume>357</volume>:<issue>eaam8526</issue>. <pub-id pub-id-type="doi">10.1126/science.aam8526</pub-id> <pub-id pub-id-type="pmid">28798046</pub-id></citation></ref>
<ref id="B34"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sanger</surname> <given-names>H. L.</given-names></name> <name><surname>Klotz</surname> <given-names>G.</given-names></name> <name><surname>Riesner</surname> <given-names>D.</given-names></name> <name><surname>Gross</surname> <given-names>H. J.</given-names></name> <name><surname>Kleinschmidt</surname> <given-names>A. K.</given-names></name></person-group> (<year>1976</year>). <article-title>Viroids are single-stranded covalently closed circular RNA molecules existing as highly base-paired rod-like structures.</article-title> <source><italic>Proc. Natl. Acad. Sci. U. S. A.</italic></source> <volume>73</volume> <fpage>3852</fpage>&#x2013;<lpage>3856</lpage>. <pub-id pub-id-type="doi">10.1073/pnas.73.11.3852</pub-id> <pub-id pub-id-type="pmid">1069269</pub-id></citation></ref>
<ref id="B35"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Song</surname> <given-names>G.</given-names></name> <name><surname>Yang</surname> <given-names>Z.</given-names></name> <name><surname>Guo</surname> <given-names>J.</given-names></name> <name><surname>Zheng</surname> <given-names>Y.</given-names></name> <name><surname>Su</surname> <given-names>X.</given-names></name> <name><surname>Wang</surname> <given-names>X.</given-names></name></person-group> (<year>2020</year>). <article-title>Interactions among lncRNAs/circRNAs, miRNAs, and mRNAs in neuropathic pain.</article-title> <source><italic>Neurotherapeutics</italic></source> <volume>17</volume> <fpage>917</fpage>&#x2013;<lpage>931</lpage>. <pub-id pub-id-type="doi">10.1007/s13311-020-00881-y</pub-id> <pub-id pub-id-type="pmid">32632773</pub-id></citation></ref>
<ref id="B36"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tramullas</surname> <given-names>M.</given-names></name> <name><surname>Frances</surname> <given-names>R.</given-names></name> <name><surname>de la Fuente</surname> <given-names>R.</given-names></name> <name><surname>Velategui</surname> <given-names>S.</given-names></name> <name><surname>Carcelen</surname> <given-names>M.</given-names></name> <name><surname>Garcia</surname> <given-names>R.</given-names></name><etal/></person-group> (<year>2018</year>). <article-title>MicroRNA-30c-5p modulates neuropathic pain in rodents.</article-title> <source><italic>Sci. Transl. Med.</italic></source> <volume>10</volume>:<issue>eaao6299</issue>. <pub-id pub-id-type="doi">10.1126/scitranslmed.aao6299</pub-id> <pub-id pub-id-type="pmid">30089634</pub-id></citation></ref>
<ref id="B37"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>Y.</given-names></name> <name><surname>Mo</surname> <given-names>Y.</given-names></name> <name><surname>Gong</surname> <given-names>Z.</given-names></name> <name><surname>Yang</surname> <given-names>X.</given-names></name> <name><surname>Yang</surname> <given-names>M.</given-names></name> <name><surname>Zhang</surname> <given-names>S.</given-names></name><etal/></person-group> (<year>2017</year>). <article-title>Circular RNAs in human cancer.</article-title> <source><italic>Mol. Cancer</italic></source> <volume>16</volume>:<issue>25</issue>. <pub-id pub-id-type="doi">10.1186/s12943-017-0598-7</pub-id> <pub-id pub-id-type="pmid">28143578</pub-id></citation></ref>
<ref id="B38"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Westphal</surname> <given-names>M.</given-names></name> <name><surname>Lamszus</surname> <given-names>K.</given-names></name></person-group> (<year>2011</year>). <article-title>The neurobiology of gliomas: from cell biology to the development of therapeutic approaches.</article-title> <source><italic>Nat. Rev. Neurosci.</italic></source> <volume>12</volume> <fpage>495</fpage>&#x2013;<lpage>508</lpage>. <pub-id pub-id-type="doi">10.1038/nrn3060</pub-id> <pub-id pub-id-type="pmid">21811295</pub-id></citation></ref>
<ref id="B39"><citation citation-type="journal"><collab>World Health Organization [WHO]</collab> (<year>2021</year>). <source><italic>International Classification of Diseases 11th Revision [Online].</italic></source> Available online at: <ext-link ext-link-type="uri" xlink:href="https://icd.who.int/en/">https://icd.who.int/en/</ext-link> <comment>(accessed July 9, 2021)</comment>.</citation></ref>
<ref id="B40"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname> <given-names>A. H.</given-names></name> <name><surname>Sun</surname> <given-names>Y. X.</given-names></name></person-group> (<year>2020</year>). <article-title>Research hotspots and effectiveness of repetitive transcranial magnetic stimulation in stroke rehabilitation.</article-title> <source><italic>Neural Regen. Res.</italic></source> <volume>15</volume> <fpage>2089</fpage>&#x2013;<lpage>2097</lpage>. <pub-id pub-id-type="doi">10.4103/1673-5374.282269</pub-id> <pub-id pub-id-type="pmid">32394967</pub-id></citation></ref>
<ref id="B41"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname> <given-names>H.</given-names></name> <name><surname>Zhang</surname> <given-names>Y.</given-names></name> <name><surname>Qi</surname> <given-names>L.</given-names></name> <name><surname>Ding</surname> <given-names>L.</given-names></name> <name><surname>Jiang</surname> <given-names>H.</given-names></name> <name><surname>Yu</surname> <given-names>H.</given-names></name></person-group> (<year>2018</year>). <article-title>NFIX circular RNA promotes glioma progression by regulating miR-34a-5p via notch signaling pathway.</article-title> <source><italic>Front. Mol. Neurosci.</italic></source> <volume>11</volume>:<issue>225</issue>. <pub-id pub-id-type="doi">10.3389/fnmol.2018.00225</pub-id> <pub-id pub-id-type="pmid">30072869</pub-id></citation></ref>
<ref id="B42"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yan</surname> <given-names>W.</given-names></name> <name><surname>Zheng</surname> <given-names>K.</given-names></name> <name><surname>Weng</surname> <given-names>L.</given-names></name> <name><surname>Chen</surname> <given-names>C.</given-names></name> <name><surname>Kiartivich</surname> <given-names>S.</given-names></name> <name><surname>Jiang</surname> <given-names>X.</given-names></name><etal/></person-group> (<year>2020</year>). <article-title>Bibliometric evaluation of 2000-2019 publications on functional near-infrared spectroscopy.</article-title> <source><italic>Neuroimage</italic></source> <volume>220</volume>:<issue>117121</issue>. <pub-id pub-id-type="doi">10.1016/j.neuroimage.2020.117121</pub-id> <pub-id pub-id-type="pmid">32619709</pub-id></citation></ref>
<ref id="B43"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname> <given-names>R.</given-names></name> <name><surname>Xing</surname> <given-names>L.</given-names></name> <name><surname>Zheng</surname> <given-names>X.</given-names></name> <name><surname>Sun</surname> <given-names>Y.</given-names></name> <name><surname>Wang</surname> <given-names>X.</given-names></name> <name><surname>Chen</surname> <given-names>J.</given-names></name></person-group> (<year>2019</year>). <article-title>The circRNA circAGFG1 acts as a sponge of miR-195-5p to promote triple-negative breast cancer progression through regulating CCNE1 expression.</article-title> <source><italic>Mol. Cancer</italic></source> <volume>18</volume>:<issue>4</issue>. <pub-id pub-id-type="doi">10.1186/s12943-018-0933-7</pub-id> <pub-id pub-id-type="pmid">30621700</pub-id></citation></ref>
<ref id="B44"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>J.</given-names></name> <name><surname>Liu</surname> <given-names>H.</given-names></name> <name><surname>Hou</surname> <given-names>L.</given-names></name> <name><surname>Wang</surname> <given-names>G.</given-names></name> <name><surname>Zhang</surname> <given-names>R.</given-names></name> <name><surname>Huang</surname> <given-names>Y.</given-names></name><etal/></person-group> (<year>2017</year>). <article-title>Circular RNA_LARP4 inhibits cell proliferation and invasion of gastric cancer by sponging miR-424-5p and regulating LATS1 expression.</article-title> <source><italic>Mol. Cancer</italic></source> <volume>16</volume>:<issue>151</issue>. <pub-id pub-id-type="doi">10.1186/s12943-017-0719-3</pub-id> <pub-id pub-id-type="pmid">28893265</pub-id></citation></ref>
<ref id="B45"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>L.</given-names></name> <name><surname>Zhang</surname> <given-names>Y.</given-names></name> <name><surname>Wang</surname> <given-names>Y.</given-names></name> <name><surname>Zhao</surname> <given-names>Y.</given-names></name> <name><surname>Ding</surname> <given-names>H.</given-names></name> <name><surname>Li</surname> <given-names>P.</given-names></name></person-group> (<year>2020</year>). <article-title>Circular RNAs: functions and clinical significance in cardiovascular disease.</article-title> <source><italic>Front. Cell Dev. Biol.</italic></source> <volume>8</volume>:<issue>584051</issue>. <pub-id pub-id-type="doi">10.3389/fcell.2020.584051</pub-id> <pub-id pub-id-type="pmid">33134301</pub-id></citation></ref>
<ref id="B46"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>P.</given-names></name> <name><surname>Chao</surname> <given-names>Z.</given-names></name> <name><surname>Zhang</surname> <given-names>R.</given-names></name> <name><surname>Ding</surname> <given-names>R.</given-names></name> <name><surname>Wang</surname> <given-names>Y.</given-names></name> <name><surname>Wu</surname> <given-names>W.</given-names></name><etal/></person-group> (<year>2019a</year>). <article-title>Circular RNA regulation of myogenesis.</article-title> <source><italic>Cells</italic></source> <volume>8</volume>:<issue>885</issue>. <pub-id pub-id-type="doi">10.3390/cells8080885</pub-id> <pub-id pub-id-type="pmid">31412632</pub-id></citation></ref>
<ref id="B47"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>P. F.</given-names></name> <name><surname>Pei</surname> <given-names>X.</given-names></name> <name><surname>Li</surname> <given-names>K. S.</given-names></name> <name><surname>Jin</surname> <given-names>L. N.</given-names></name> <name><surname>Wang</surname> <given-names>F.</given-names></name> <name><surname>Wu</surname> <given-names>J.</given-names></name><etal/></person-group> (<year>2019b</year>). <article-title>Circular RNA circFGFR1 promotes progression and anti-PD-1 resistance by sponging miR-381-3p in non-small cell lung cancer cells.</article-title> <source><italic>Mol. Cancer</italic></source> <volume>18</volume>:<issue>179</issue>. <pub-id pub-id-type="doi">10.1186/s12943-019-1111-2</pub-id> <pub-id pub-id-type="pmid">31815619</pub-id></citation></ref>
<ref id="B48"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zheng</surname> <given-names>Q.</given-names></name> <name><surname>Bao</surname> <given-names>C.</given-names></name> <name><surname>Guo</surname> <given-names>W.</given-names></name> <name><surname>Li</surname> <given-names>S.</given-names></name> <name><surname>Chen</surname> <given-names>J.</given-names></name> <name><surname>Chen</surname> <given-names>B.</given-names></name><etal/></person-group> (<year>2016</year>). <article-title>Circular RNA profiling reveals an abundant circHIPK3 that regulates cell growth by sponging multiple miRNAs.</article-title> <source><italic>Nat. Commun.</italic></source> <volume>7</volume>:<issue>11215</issue>. <pub-id pub-id-type="doi">10.1038/ncomms11215</pub-id> <pub-id pub-id-type="pmid">27050392</pub-id></citation></ref>
</ref-list>
</back>
</article>