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<?release-delay 0|0?>
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">ETM</journal-id>
<journal-title-group>
<journal-title>Experimental and Therapeutic Medicine</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-0981</issn>
<issn pub-type="epub">1792-1015</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">ETM-29-2-12772</article-id>
<article-id pub-id-type="doi">10.3892/etm.2024.12772</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>MicroRNA‑21‑5p expression in extracellular vesicles is increased in the blood of aging mice and in vascular endothelial cells induced by ionizing radiation</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Yamamoto</surname><given-names>Keisuke</given-names></name>
<xref rid="af1-ETM-29-2-12772" ref-type="aff">1</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Chiba</surname><given-names>Mitsuru</given-names></name>
<xref rid="af1-ETM-29-2-12772" ref-type="aff">1</xref>
<xref rid="af2-ETM-29-2-12772" ref-type="aff">2</xref>
<xref rid="c1-ETM-29-2-12772" ref-type="corresp"/>
</contrib>
</contrib-group>
<aff id="af1-ETM-29-2-12772"><label>1</label>Department of Bioscience and Laboratory Medicine, Graduate School of Health Sciences, Hirosaki University, Hirosaki, Aomori 036-8564, Japan</aff>
<aff id="af2-ETM-29-2-12772"><label>2</label>Research Center for Biomedical Sciences, Hirosaki University, Hirosaki, Aomori 036-8564, Japan</aff>
<author-notes>
<corresp id="c1-ETM-29-2-12772"><italic>Correspondence to:</italic> Dr Mitsuru Chiba, Department of Bioscience and Laboratory Medicine, Graduate School of Health Sciences, Hirosaki University, 66-1 Hon-cho, Hirosaki, Aomori 036-8564, Japan <email>doctorwmh@163.com mchiba32@hirosaki-u.ac.jp </email></corresp>
</author-notes>
<pub-date pub-type="collection">
<month>02</month>
<year>2025</year></pub-date>
<pub-date pub-type="epub">
<day>25</day>
<month>11</month>
<year>2024</year></pub-date>
<volume>29</volume>
<issue>2</issue>
<elocation-id>22</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>08</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>10</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; 2024 Yamamoto and Chiba.</copyright-statement>
<copyright-year>2024</copyright-year>
<license license-type="open-access">
<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-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license>
</permissions>
<abstract>
<p>In recent years, the Japanese population has been aging and the risk of contracting various age-related diseases has increased. Thus, there is a need to analyze components that are characteristic of aging and examine their association with diseases to detect age-related diseases at an early stage. In the present study, microRNAs (miRNAs/miRs) in serum extracellular vesicles (EVs) of 82-102-week-old mice were analyzed to identify miRNAs characteristic of aging. Increased expression of mmu-miR-21a-5p was observed. These miRNAs may be derived from senescent vascular endothelial cells, and RNA-sequencing data (GSE130727) of HUVECs induced to senesce by 4 Gy of radiation revealed that the miRNAs were involved in the cell cycle and DNA repair. Annotations to senescence-related pathways were also identified. Reduced expression of the miR-21-5p target gene, which has an identical sequence in humans and mice, was confirmed. In HUVECs induced to age under similar conditions, increased senescence-associated &#x03B2;-galactosidase activity and increased intracellular miR-21-5p expression were observed. A portion of the miR-21-5p was secreted extracellularly by internalizing tetraspanin-positive EVs, and miR-21-5p was secreted into the extracellular space. The present study also demonstrated that miR-21-5p expression was upregulated and extracellular secretion of miR-21-5p was enhanced during vascular endothelial cell senescence. These findings suggested that increased serum miR-21-5p represents a biomarker for vascular endothelial cell senescence.</p>
</abstract>
<kwd-group>
<kwd>RNA-sequencing</kwd>
<kwd>microRNA</kwd>
<kwd>gene expression</kwd>
<kwd>microarray</kwd>
<kwd>serum</kwd>
<kwd>senescence</kwd>
<kwd>microRNA-21-5p</kwd>
</kwd-group>
<funding-group>
<funding-statement><bold>Funding:</bold> The present study was supported by The JSPS KAKENHI (grant no. 21H04844) and JST SPRING (grant no. JPMJSP2152).</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Recently, Japan&#x0027;s population has started aging and the risk of contracting various age-related diseases has increased. Therefore, analyzing component characteristics of aging and examining their relationship with diseases to detect age-related diseases at an early stage is necessary (<xref rid="b1-ETM-29-2-12772" ref-type="bibr">1</xref>). Aging is often accompanied by an increase in lifestyle-related diseases and many other diseases, and early detection of disease is one of the most important issues, especially in maintaining a healthy life expectancy.</p>
<p>At the cell level, senescence is a state in which cells cease to divide and undergo distinctive phenotypic changes, including altered gene expression and the secretion of senescence-associated secretory phenotype (SASP) factors (<xref rid="b2-ETM-29-2-12772" ref-type="bibr">2</xref>). SASP has profound effects, not only on the senescence cells themselves, but also on the surrounding tissue microenvironment to promote inflammation, tissue dysfunction, and progression of aging- and senescence-related diseases (<xref rid="b3-ETM-29-2-12772" ref-type="bibr">3</xref>,<xref rid="b4-ETM-29-2-12772" ref-type="bibr">4</xref>). Cellular senescence may be readily induced by repeated passage of cultured cells or irradiation (<xref rid="b5-ETM-29-2-12772" ref-type="bibr">5</xref>,<xref rid="b6-ETM-29-2-12772" ref-type="bibr">6</xref>).</p>
<p>Recently, extracellular vesicles (EVs), such as exosomes, have been reported to be involved in the onset and progression of aging and aging-related diseases (<xref rid="b7-ETM-29-2-12772" ref-type="bibr">7</xref>). EVs are small particles released from cells that contain DNA, RNA, proteins, and lipids (<xref rid="b8-ETM-29-2-12772" ref-type="bibr">8</xref>,<xref rid="b9-ETM-29-2-12772" ref-type="bibr">9</xref>). They may serve as useful biomarkers for various diseases because they reflect the physiological state of the releasing cells (<xref rid="b10-ETM-29-2-12772 b11-ETM-29-2-12772 b12-ETM-29-2-12772" ref-type="bibr">10-12</xref>). miRNAs (microRNAs) are known to be abundant among the various RNAs contained in EVs (<xref rid="b13-ETM-29-2-12772" ref-type="bibr">13</xref>). miRNAs are approximately 21-24 nucleotides in length and are small noncoding RNAs that bind to target mRNAs and either suppress translation or promote mRNA degradation to post-transcriptionally regulate gene expression (<xref rid="b14-ETM-29-2-12772" ref-type="bibr">14</xref>). The role of miRNAs in cellular senescence has been shown to influence many biological processes associated with aging, including cell proliferation, apoptosis, and the inflammatory response (<xref rid="b15-ETM-29-2-12772" ref-type="bibr">15</xref>,<xref rid="b16-ETM-29-2-12772" ref-type="bibr">16</xref>). For example, miR-125b, miR-504, miR-25, and miR-30d directly act on p53 and suppress its function (<xref rid="b17-ETM-29-2-12772" ref-type="bibr">17</xref>). miR-21-5p is a small noncoding RNA that was first reported as an miRNA in cancer-related studies (<xref rid="b18-ETM-29-2-12772" ref-type="bibr">18</xref>). It has been reported that miR-21 increases with age in the heart of mice (<xref rid="b19-ETM-29-2-12772" ref-type="bibr">19</xref>). It reportedly inhibits cell cycle progression via CDC25A (<xref rid="b20-ETM-29-2-12772" ref-type="bibr">20</xref>).</p>
<p>EVs are abundant in body fluids, such as blood, and they are secreted by various cells throughout the body and are present in body fluids in a mixed state (<xref rid="b21-ETM-29-2-12772" ref-type="bibr">21</xref>). Blood is in constant contact with vascular endothelial cells, and it is believed that EVs-derived from vascular endothelial cells are abundant in the blood (<xref rid="b22-ETM-29-2-12772" ref-type="bibr">22</xref>,<xref rid="b23-ETM-29-2-12772" ref-type="bibr">23</xref>). RNA-sequencing analysis of endothelial cells and fibroblasts induced into senescence by irradiation revealed gene expression changes when senescence is induced, including senescence-specific gene expression patterns (<xref rid="b24-ETM-29-2-12772" ref-type="bibr">24</xref>). However, the relationship between changes in the expression of blood miRNAs and vascular endothelial cell senescence has not been examined.</p>
<p>In this study, we examined the characteristics of serum miRNA expression in aging mice and the expression of miRNAs inside and outside the cells of senescence-induced vascular endothelial cells. Our results provide insight into senescence-induced and secreted miRNAs in vascular endothelial cells.</p>
</sec>
<sec sec-type="Materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Mice and blood collection</title>
<p>C57BL6NJcl male mice were purchased from CLEA Japan. They were acclimated for at least one week before initiating the experiments. The mice were provided a solid diet of CE2 (CLEA Japan) and water <italic>ad libitum</italic> and were housed in a conventional animal room with 12 h light/dark cycles at room temperature and 40-50&#x0025; humidity. The mice were housed up to 5 mice per cage containing bedding, feed, and water, which were changed weekly. The mice were observed 2-3 times/day for monitoring. No abnormalities in mouse health or behavior were observed. Five 8-week-old mice were designated &#x2018;Young&#x2019; mice, and five 82-week-old and three 102-week-old mice were designated &#x2018;Aging&#x2019; mice. Small animal anesthesia machines (Muromachi Kikai) were used to anesthetize the mice. Isoflurane vaporized to a concentration of 4-5&#x0025; was administered to the mice and maintained at 2-3&#x0025; throughout the experiment. Following anesthesia, approximately 0.5-1.0 ml of blood was drawn from the heart, and the mice were promptly cervically dislocated to minimize distress. The time from the beginning of anesthesia to the end of blood collection was less than 10 min per animal. Death was confirmed by respiratory and cardiac arrest. Blood was placed in a Microtainer (cat. no. 365967, Becton Dickinson) for serum separation. After checking for coagulation, the blood was centrifuged at 6,000 x g for 3 min. The serum was separated and stored at -80&#x02DA;C until use. The experiment was approved by the Hirosaki University Animal Experiment Ethics Committee and conducted based on the Hirosaki University Animal Experiment Guidelines (Approval No. AE01-2023-097-1).</p>
</sec>
<sec>
<title>Serum RNA extraction</title>
<p>The serum was filtered through a 0.20 &#x00B5;m filter and the RNAs derived from EVs were extracted from 200 &#x00B5;l of serum using the exoRNeasy midi kit (cat. no. 77144, Qiagen) and cel-miR-39 was added as a spike-in RNA. The concentration of the extracted EV-derived RNAs was measured using a Qubit&#x2122; microRNA Assay Kit (cat. no. Q32880, ThermoFisher Scientific) and a Qubit 4 Fluorometer (cat. no. Q33238, ThermoFisher Q33238, ThermoFisher Scientific) based on the manufacturer&#x0027;s protocol. To confirm the size of the RNAs in the serum EVs, an Agilent 2100 Bioanalyzer (Agilent Technologies, Inc.) and the Agilent RNA 6000 Pico kit (cat. no. 5067-1513, Agilent Technologies, Inc.) were used to perform RNA electrophoresis based on the manufacturer&#x0027;s protocol.</p>
</sec>
<sec>
<title>miRNA microarray</title>
<p>To examine miRNA expression in mouse serum, a miRNA microarray analysis was performed using 1.8 ng of RNAs extracted by the method described above. Microarray analysis was performed as previously described according to the manufacturer&#x0027;s instructions (<xref rid="b25-ETM-29-2-12772" ref-type="bibr">25</xref>,<xref rid="b26-ETM-29-2-12772" ref-type="bibr">26</xref>). The miRNA Complete Labeling Reagent and Hyb kit (cat. no. 5190-0456, Agilent Technologies) was used to label mouse serum EVs-derived RNAs with Cyanine-3 and hybridized to SurePrint G3 Mouse 8x60 K miRNA microarray slides (version 21.0) (cat. no. G4872A, design ID: 070155, Agilent Technologies) at 55&#x02DA;C for 20 h. The fluorescence signals were detected using a SureScan Microarray Scanner (Agilent Technologies) and quantified using Feature Extraction software (Agilent Technologies). The microarray data were analyzed using R (version 4.3.1) and quantile normalization was done using limma (<xref rid="b27-ETM-29-2-12772" ref-type="bibr">27</xref>). Microarray data were analyzed for genes with a fold-change cutoff of &#x2265;1.5 (<xref rid="b28-ETM-29-2-12772" ref-type="bibr">28</xref>,<xref rid="b29-ETM-29-2-12772" ref-type="bibr">29</xref>), as the commonly used cutoff in various studies detecting genes in aging mice compared with young mice. A t-test was performed to identify genes with P-values &#x003C;0.05. The resulting microarray data were registered to Gene Expression Omnibus (GSE274943).</p>
</sec>
<sec>
<title>Reverse transcription-quantitative PCR (RT-qPCR) of serum EV miRNAs</title>
<p>RT-qPCR was used to validate the miRNAs in mouse serum. Total RNA and reverse transcriptase were incubated at 37&#x02DA;C for 1 h for cDNA synthesis. Then, qPCR was performed using 10-fold diluted cDNA, TB Green Advantage qPCR Premix (cat. no. 639676, Takara Bio), and miRNA-specific primers (<xref rid="SD3-ETM-29-2-12772" ref-type="supplementary-material">Table SI</xref>) based on the manufacturer&#x0027;s protocol. The conditions for qPCR were as follows: cDNA was denatured at 95&#x02DA;C for 10 sec in a total volume of 25 &#x00B5;l, followed by 40 cycles of 95&#x02DA;C for 5 sec and 60&#x02DA;C for 20 sec. The cDNA was then incubated at 95&#x02DA;C for 5 sec and 60&#x02DA;C for 20 sec for 40 cycles. Cel-miR-39 was used as an external control. The quantitation of gene expression was done using the 2<sup>-&#x0394;&#x0394;Cq</sup> method (<xref rid="b30-ETM-29-2-12772" ref-type="bibr">30</xref>).</p>
</sec>
<sec>
<title>Reanalysis of RNA-sequence data</title>
<p>To evaluate gene expression in senescence-induced HUVECs, RNA-sequence data of HUVECs exposed to 4 Gy of radiation for 10 days were downloaded from the Sequence Read Archive (SRA) (GSE130727, SRR9016151-SRR 9016156). FASTQ files downloaded from SRA were quality-checked and trimmed using Fastp (<xref rid="b31-ETM-29-2-12772" ref-type="bibr">31</xref>). Gene expression levels were calculated from FASTQ files using salmon (<xref rid="b32-ETM-29-2-12772" ref-type="bibr">32</xref>) and tximport (<xref rid="b33-ETM-29-2-12772" ref-type="bibr">33</xref>). R (version 4.3.1) was used for data analysis and quasi-likelihood F-tests were used with the expression analysis packages, limma (<xref rid="b27-ETM-29-2-12772" ref-type="bibr">27</xref>) and edgeR (<xref rid="b34-ETM-29-2-12772" ref-type="bibr">34</xref>). The p-values for multiple correction by the Benjamini-Hochberg method were less than 0.05. In addition, genes with a fold-change &#x2265;1.5 are selected. Hierarchical clustering and principal component analysis (PCA) were done to examine differences in gene expression between the 4 Gy-irradiated and unirradiated HUVECs. Gene Set Enrichment Analysis (GSEA) and Gene Ontology (GO) analysis were performed using ClusterProfiler (<xref rid="b35-ETM-29-2-12772" ref-type="bibr">35</xref>), fgsea, and the AnnotationDbi package. Kyoto Encyclopedia of Genes and Genomes (KEGG) and pathway analysis using ReactomePA were also conducted (<xref rid="b36-ETM-29-2-12772" ref-type="bibr">36</xref>).</p>
</sec>
<sec>
<title>Cell culture</title>
<p>HUVECs, single donor P1 (cat. no. C-12200, Promo Cell) were purchased from Takara Bio, and cultured in Basic Cell Growth Medium 2 Kit (cat. no. C-22011, Promo Cell) with 5&#x0025; Fetal Calf Serum (FCS), 5.0 ng/ml Epidermal Growth Factor (recombinant human), 10 ng/ml Basic Fibroblast Growth Factor (recombinant human), 10 ng/ml Insulin-like Growth Factor (Long-type), 20 ng/ml Insulin-like Growth Factor (Long R3 IGF, recombinant human), 1.0 &#x00B5;g/ml ascorbic acid, 22.5 &#x00B5;g/ml heparin, and 0.2 &#x00B5;g/ml hydrocortisone. For the recovery of EVs, exosome-depleted fetal bovine serum (cat. no. 558-39501, Fujifilm Wako) was used instead of FCS in the above medium. 41220, Promo Cell) to pass the HUVECs.</p>
</sec>
<sec>
<title>X-ray irradiation</title>
<p>HUVECs from P2 to P6 were seeded at 1x10<sup>5</sup> cells/60 mm dish and incubated overnight at 37&#x02DA;C in a 5&#x0025; CO<sub>2</sub> atmosphere. HUVECs were irradiated with 4 Gy X-rays (MBR-1520R-3 X-ray machine, Hitachi Ltd.) at a dose rate of 1.0 Gy/min (150 kVp, 20 mA, 0.5 mm aluminum, and 0.3 mm copper filters).</p>
</sec>
<sec>
<title>RNA extraction from HUVECs</title>
<p>Total RNA was extracted from HUVECs that were cultured for 10 days after 4 Gy irradiation. The control group consisted of HUVECs that were passaged on day 5 and cultured for 10 days to avoid becoming 100&#x0025; confluent. Intracellular RNA was extracted from cell pellets after centrifuging at 300 g for 3 min using the miRNeasy mini kit (cat. no. 217004, Qiagen) based on the manufacturer&#x0027;s protocol. The concentration of the extracted RNA was measured using a Nanodrop instrument (ThermoFisher Scientific) based on the manufacturer&#x0027;s protocol.</p>
<p>The HUVEC culture supernatant was filtered through a 0.20 &#x00B5;m filter and RNAs from the EVs were extracted from 2 ml of culture supernatant using the exoRNeasy midi kit (cat. no. 77144, Qiagen). The concentration of RNAs in the extracted EVs was determined using the Qubit&#x2122; microRNA Assay Kit (cat. no. Q32880, ThermoFisher Scientific) and Qubit 4 Fluorometer (cat. no. Q33238, ThermoFisher Scientific) based on the manufacturer&#x0027;s protocol.</p>
</sec>
<sec>
<title>RT-qPCR from HUVECs</title>
<p>RT-qPCR was performed to confirm the expression change of miR-21-5p in HUVECs cultured for 10 days after 4 Gy irradiation. Total RNA was reverse-transcribed into cDNA at 37&#x02DA;C for 1 h. qPCR was performed with 10-fold diluted cDNA using the TB Green Advantage qPCR Premix (cat. no. 639676, Takara Bio) and miRNA-specific primers (<xref rid="SD3-ETM-29-2-12772" ref-type="supplementary-material">Table SI</xref>) based on the manufacturer&#x0027;s protocol. U6 small nuclear RNA was used as an internal control. In the Mir-X miRNA First-Strand Synthesis kit (cat. no. 638313, Takara Bio) containing the U6 primer, the U6 primer sequence is a trade secret and not disclosed.</p>
<p>RT-qPCR was used to validate the messenger RNAs (mRNAs) of the candidate miR-21-5p target genes and genes that were downregulated by RNA-sequencing reanalysis in HUVECs cultured for 10 days following 4 Gy irradiation. Candidate target genes were downloaded from TargetScan (<ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.targetscan.org/vert_72/">https://www.targetscan.org/vert_72/</ext-link>). cDNA synthesis was done using 200 ng of total RNA extracted from HUVECs cultured for 10 days after 4 Gy irradiation with the High Capacity cDNA Reverse Transcriptase Kit (cat. no. 4368814, ThermoFisher Scientific) based on the manufacturer&#x0027;s protocol. Total RNA (200 ng) and 2x Reverse Transcriptase Master Mix solution were mixed in a total volume of 20 &#x00B5;l. The reverse transcription reaction was performed at 25&#x02DA;C for 10 min, 37&#x02DA;C for 120 min, and 85&#x02DA;C for 5 min. Next, qPCR was done using 5-fold diluted cDNA, Power SYBR Green PCR Master Mix (2x) (cat. no. 4367659, ThermoFisher Scientific), and gene-specific primer pairs (<xref rid="tI-ETM-29-2-12772" ref-type="table">Table I</xref>) based on the manufacturer&#x0027;s protocol. Of the primers used, primer 3 (version 4.1.0) was designed for RT-qPCR of mRNA. Actin beta was used as an internal control.</p>
<p>RT-qPCR was performed for changes in the expression of miR-21-5p in EVs in culture supernatants secreted from HUVECs cultured for 10 days after 4 Gy irradiation. Total RNA (100 &#x00B5;g) was extracted from EVs in the culture supernatants secreted from HUVECs 10 days after 4 Gy irradiation. The Mir-X miRNA First-Strand Synthesis kit (cat. no. 638313, Takara Bio) was used for cDNA synthesis based on the manufacturer&#x0027;s protocol. Total RNA and reverse transcriptase were incubated at 37&#x02DA;C for 1 h. Then, qPCR was performed using 10-fold diluted cDNA using TB Green Advantage qPCR Premix (cat. no. 639676, Takara Bio) and miRNA-specific primers (<xref rid="SD3-ETM-29-2-12772" ref-type="supplementary-material">Table SI</xref>) based on the manufacturer&#x0027;s protocol. The respective miRNA sequences published on miRbase were used as primer sequences. Cel-miR-39 was used as an external control. The quantitation of gene expression was done using the 2<sup>-&#x0394;&#x0394;Cq</sup> method (<xref rid="b30-ETM-29-2-12772" ref-type="bibr">30</xref>).</p>
</sec>
<sec>
<title>Senescence-associated &#x03B2;-galactosidase (SA-&#x03B2;-GAL) staining</title>
<p>To detect cell senescence in HUVECs cultured for 10 days following 4 Gy irradiation, the senescence &#x03B2;-galactosidase staining kit (cat. no. 9860, Cell Signaling Technology) was used. HUVECs (1x10<sup>5</sup> cells) were treated with 1x Fixative Solution. After washing three times with phosphate-buffered saline (PBS), 1.0 ml of &#x03B2;-galactosidase stain was added and incubated at 37&#x02DA;C overnight. HUVECs were observed under an optical microscope with the &#x03B2;-galactosidase staining solution remaining.</p>
<p>To quantify cellular senescence in HUVECs, the cellular senescence detection kit SPiDER-&#x03B2;Gal (cat. no. SG02, Dojindo Molecular Technologies, Inc.) was used. HUVECs (1x10<sup>5</sup> cells) were collected and incubated with Hank&#x0027;s Balanced Salt Solution (HBSS). After washing twice with HBSS, 1.0 ml of the prepared SPiDER-&#x03B2;Gal working solution was added and incubated in a 5&#x0025; CO<sub>2</sub> incubator at 37&#x02DA;C for 1 h. After washing twice with HBSS, 1.0 ml of the prepared SPiDER-&#x03B2;Gal working solution was added and incubated at 37&#x02DA;C in a 5&#x0025; CO<sub>2</sub> incubator for 30 min. The supernatant was removed by aspiration, the cells were washed twice with HBSS, and detached with the DetachKit (cat. No. C-41220, Promo Cell). The fluorescence of the detached HUVECs was analyzed using CytoFLEX flow cytometer and CytExpert software version 2.4 (both Beckman Coulter) and kaluza2.2 software (Beckman Coulter).</p>
</sec>
<sec>
<title>Cell cycle analysis</title>
<p>To confirm the cell cycle of 4 Gy-irradiated and nonirradiated HUVECs, each exfoliated cell was fixed by adding 70&#x0025; ethanol and incubated at -20&#x02DA;C overnight or longer. Then, each exfoliated cell was washed three times with PBS, and 200 &#x00B5;l of 250 &#x00B5;g/ml RNase A (cat. no. 318-06391, Fujifilm Wako) was added and incubated at room temperature for 30 min. Propidium iodide was then added at 50 &#x00B5;g/ml and fluorescence was detected with a CytoFLEX flow cytometer and CytExpert software version 2.4 (both Beckman Coulter). All events were measured up to 10,000 events per sample. For data analysis, histograms were generated using kaluza2.2 software (Beckman Coulter).</p>
</sec>
<sec>
<title>Detection of EV markers</title>
<p>HUVEC culture supernatant (2 ml) was centrifuged at 300 g for 3 min. The collected supernatant was passed through a 0.20 &#x00B5;m filter and enriched for EVs by ultrafiltration using an Amicon Ultra 0.5 ml centrifugal filter (cat. No. UFC510096, Merke Millipore). EVs were then collected using the PS capture&#x2122; Exosome Flow Cytometry Kit (cat. no. 297-79701, Fujifilm Wako) based on the manufacturer&#x0027;s recommended protocol. Fluorescein isothiocyanate (FITC) anti-human CD63 Antibody (cat. no. 353005 BioLegend), FITC anti-human CD9 Antibody (cat. no. 312103, BioLegend), FITC anti-human CD81 Antibody (cat. no. 349503, BioLegend), and FITC Mouse IgG1, &#x03BA; isotype Ctrl antibody (cat. no. 400110, BioLegend) were used. The data were analyzed using a CytoFLEX flow cytometer and CytExpert software version 2.4 (both Beckman Coulter). For data analysis, histograms were generated using kaluza2.2 software (Beckman Coulter).</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>All statistical analyses were performed using R (version 4.3.1). Two-group tests were subject to the Shapiro-Wilk test to confirm normality, followed by the F test, and Welch&#x0027;s T-test for data without equal variance. Mann-Whitney&#x0027;s U test was performed if normality was rejected. The significance level was set at P&#x003C;0.05. For all experiments using HUVECs, the number of samples was n=4.</p>
</sec>
</sec>
</sec>
<sec sec-type="Results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Expression of blood EV mmu-miR-21a-5p is increased in aging mice</title>
<p>In our previous study, we found that cognitive function was impaired in 58-week-old mice in the Morris water maze (<xref rid="b28-ETM-29-2-12772" ref-type="bibr">28</xref>). To further confirm changes in the expression of miRNAs in blood EVs in aged mice, we compared EVs RNAs from &#x2018;Aging&#x2019; (82 and 102 weeks old) and &#x2018;Young&#x2019; (8 weeks old) mice. The size of the EV RNA in the serum of the Aging and Young mice was found to be in the range of 25-200 nucleotides (nt) (<xref rid="f1-ETM-29-2-12772" ref-type="fig">Fig. 1A</xref>). We performed a mouse miRNA microarray using the extracted serum RNAs to identify miRNAs whose expression was significantly altered in Aging mice compared with Young mice. We found that mmu-miR-21a-5p, mmu-miR-3473b, and mmu-miR-7047-5p were significantly increased in the serum of the Aging mice (<xref rid="f1-ETM-29-2-12772" ref-type="fig">Fig. 1B</xref>). RT-qPCR was used to confirm the expression of the three miRNAs that were significantly increased. We found that mmu-miR-21a-5p and mmu-miR-7047-5p were significantly increased in Aging mice (<xref rid="f1-ETM-29-2-12772" ref-type="fig">Fig. 1C</xref>). This suggests that these two blood miRNAs are molecules associated with aging. One possible reason for the discrepancy between PCR results and microarray results is that microarrays and RT-qPCR have different sensitivities, so a sample that is statistically significant by microarray may not be statistically significant by RT-qPCR.</p>
</sec>
<sec>
<title>Differentially expressed genes in HUVECs irradiated with 4 Gy</title>
<p>The altered miRNAs described above may be derived from the senescence of vascular endothelial cells (<xref rid="b22-ETM-29-2-12772" ref-type="bibr">22</xref>,<xref rid="b23-ETM-29-2-12772" ref-type="bibr">23</xref>). Therefore, we considered the possibility that the senescence of vascular endothelial cells affects the expression of miRNAs in blood EVs. To confirm the gene expression changes in senescence-induced HUVECs, we downloaded and reanalyzed the RNA-sequence data (GSE130727, SRR9016151-SRR9016156) of 4 Gy-exposed HUVECs. Cluster analysis revealed that gene expression was different between 4 Gy-irradiated and nonirradiated HUVECs (<xref rid="f2-ETM-29-2-12772" ref-type="fig">Fig. 2A</xref>). Similarly, PCA showed a significant change in gene expression between the 4 Gy-irradiated and nonirradiated HUVECs (<xref rid="f2-ETM-29-2-12772" ref-type="fig">Fig. 2B</xref>). Furthermore, differentially expressed gene (DEG) analysis using edgeR identified 1881 genes that were altered by &#x2265;1.5-fold (<xref rid="f2-ETM-29-2-12772" ref-type="fig">Fig. 2C</xref>). This reanalysis indicated that 4 Gy irradiation alters the expression of many HUVEC genes.</p>
</sec>
<sec>
<title>4 Gy irradiation induces changes in the expression of genes involved in cell division and cell cycle in HUVECs</title>
<p>Enrichment analysis was performed on 1881 genes that were altered by DEG analysis of the RNA sequences. A GSEA analysis was performed on the GO terms to determine whether senescence induction of HUVECs by 4 Gy irradiation was affected by a decrease or increase of the altered genes. The results indicated that most of the variable genes were enriched in the downregulated gene group because the enrichment score was less than zero (<xref rid="f3-ETM-29-2-12772" ref-type="fig">Fig. 3A</xref>). Based on this result, GO enrichment analysis was performed on the downregulated genes, and terms associated with DNA replication and cell division were identified (<xref rid="f3-ETM-29-2-12772" ref-type="fig">Fig. 3B</xref>). In addition, KEGG pathway and Reactome pathway enrichment analyses were also performed and pathways related to the cell cycle and DNA repair were annotated (<xref rid="f3-ETM-29-2-12772" ref-type="fig">Fig. 3C</xref> and <xref rid="f3-ETM-29-2-12772" ref-type="fig">D</xref>). These results suggest that there are changes in DNA replication and cell cycle-related genes in 4 Gy-irradiated senescence-induced HUVECs.</p>
</sec>
<sec>
<title>Senescence-induced HUVECs cause decreased expression of 6 genes, a miR-21-5p target gene, and change the rate of cell cycle</title>
<p>We identified mmu-miR-21a-5p and mmu-miR-7047-5p as miRNAs that are significantly up-regulated in Aging mice (<xref rid="f1-ETM-29-2-12772" ref-type="fig">Fig. 1</xref>); however, because no miRNA corresponding to mmu-miR-7047-5p was found in humans, we focused only on miR-21-5p in this study. The results of an RNA-sequence enrichment analysis showed that the expression of 435 genes was decreased by 4 Gy irradiation. The common genes among the 378 candidate target genes of miR-21-5p were examined by target scan, and cell division cycle 25A <italic>(CDC25A)</italic>, mutS homolog 2 <italic>(MSH2)</italic>, methylthioadenosine phosphorylase <italic>(MTAP)</italic>, methylenetetrahydrofolate dehydrogenase, cyclohydrolase and formyltetrahydrofolate synthetase 1 <italic>(MTHFD1)</italic>, zinc finger protein 367 <italic>(ZNF367)</italic>, and zinc finger protein 704 <italic>(ZNF704)</italic> were identified (<xref rid="f4-ETM-29-2-12772" ref-type="fig">Fig. 4A</xref>). Next, to induce senescence in HUVECs, the cells were cultured for 10 days after 4 Gy irradiation. Total RNA was extracted from the HUVECs for RT-qPCR of intracellular miR-21-5p and the candidate target genes. The results indicated that 4 Gy irradiation increased miR-21-5p expression in HUVECs and decreased the expression of five of the six target candidate mRNAs (<xref rid="f4-ETM-29-2-12772" ref-type="fig">Fig. 4B</xref> and <xref rid="f4-ETM-29-2-12772" ref-type="fig">C</xref>). Next, SA-&#x03B2;-GAL staining of 4 Gy-irradiated HUVECs revealed that the cytoplasm of 4 Gy-irradiated HUVECs was stained darker and bluer compared with that of nonirradiated HUVECs (<xref rid="f4-ETM-29-2-12772" ref-type="fig">Fig. 4D</xref>). To quantitate the staining results, HUVECs were fluorescently stained using the cell senescence detection kit SPiDER-&#x03B2;Gal, and the fluorescence intensity was measured by flow cytometry. The average SA-&#x03B2;-GAL fluorescence intensity of nonirradiated HUVECs was approximately 59,000, whereas the average SA-&#x03B2;-GAL fluorescence intensity of 4 Gy-irradiated HUVECs was approximately 150,000, which is a statistically substantial increase (<xref rid="f4-ETM-29-2-12772" ref-type="fig">Figs. 4E</xref> and <xref rid="SD1-ETM-29-2-12772" ref-type="supplementary-material">S1</xref>). Because the expression of <italic>CDC25A</italic>, which is involved in the cell cycle, was decreased, we analyzed the cell cycle of HUVECs cultured for 10 days after 4 Gy irradiation. There were fewer S-phase cells in the 4 Gy-irradiated group compared with that in the nonirradiated group (<xref rid="f4-ETM-29-2-12772" ref-type="fig">Figs. 4F</xref> and <xref rid="SD2-ETM-29-2-12772" ref-type="supplementary-material">S2</xref>). This suggests that 4 Gy irradiation induces senescence in HUVECs and affects the S phase of the cell cycle through increased expression of miR-21-5p.</p>
</sec>
<sec>
<title>miR-21-5p expression is increased in EVs secreted from 4 Gy-irradiated HUVECs</title>
<p>To identify tetraspanins, which are surface antigens of EVs secreted from HUVECs cultured for 10 days after 4 Gy irradiation, EVs were collected from 2 ml of culture supernatant using PS capture and incubated with specific antibodies for each FITC-labeled tetraspanin family member and fluorescence was detected by flow cytometry. The results indicated that CD9 was strongly expressed in EVs secreted from HUVECs, confirming that EVs were collected (<xref rid="f5-ETM-29-2-12772" ref-type="fig">Fig. 5A</xref>). Next, we measured the expression of miR-21-5p in the EVs. The miR-21-5p expression in the supernatant of HUVECs cultured for 10 days after 4 Gy irradiation considerably increased by 2.7-fold compared with the nonirradiated HUVECs (<xref rid="f5-ETM-29-2-12772" ref-type="fig">Fig. 5B</xref>). This indicates that miR-21-5p is increased not only present intracellularly, but also in EVs of HUVECs irradiated with 4 Gy.</p>
</sec>
</sec>
</sec>
<sec sec-type="Discussion">
<title>Discussion</title>
<p>In this study, we found that mmu-miR-21a-5p was increased in blood EVs of aging mice. Increased expression of miR-21-5p, with the same sequence as that in mice, was observed in senescent HUVECs. Moreover, miR-21-5p was also increased in EVs in the culture supernatant of senescence-induced HUVECs. Based on these findings, the increased expression of EV miR-21-5p extracellularly in senescence-induced HUVECs in vitro suggests increased expression of miR-21-5p in the blood EVs of aging mice. Therefore, increased serum miR-21-5p may be a biomarker for vascular endothelial cell senescence.</p>
<p>Reanalysis of RNA-sequence data from HUVECs identified 1881 genes with altered expression (<xref rid="f2-ETM-29-2-12772" ref-type="fig">Fig. 2C</xref>). Enrichment analysis of these altered genes revealed that many of the downregulated genes in 4 Gy-irradiated HUVECs were associated with the cell cycle and DNA repair, suggesting that the downregulation of these genes may directly affect these processes. Bouten <italic>et al</italic> (<xref rid="b29-ETM-29-2-12772" ref-type="bibr">29</xref>) performed RNA-sequencing on human lung microvascular endothelial cells irradiated with 10 Gy. In their enrichment analysis, GO term and KEGG pathways also identified terms or pathways related to the cell cycle and DNA repair, which supports our reanalysis of the GSE130727 data (<xref rid="f3-ETM-29-2-12772" ref-type="fig">Fig. 3</xref>). These molecular changes are thought to result in the inability of cells to proliferate due to reduced expression of genes related to DNA replication and the cell cycle, resulting in cell senescence.</p>
<p>MSH2 is probably involved in processing biologically substantial clustered DNA damages and in executing apoptosis induced by ionizing radiation. The human DNA mismatch complex MSH2-MSH3 recognizes small loops via a mechanism different from that of MSH2-MSH6, which is specific for single-base mismatches (<xref rid="b37-ETM-29-2-12772" ref-type="bibr">37</xref>). This salvage pathway has been implicated in cell apoptosis, proliferation, differentiation, and inflammatory responses. MTAP catalyzes the reversible phosphorylation of 5&#x0027;-methylthioadenosine, a co-product of polyamine biosynthesis (<xref rid="b38-ETM-29-2-12772" ref-type="bibr">38</xref>). It has been reported that loss of MTAP in hepatocellular carcinoma cells results in cell cycle arrest (<xref rid="b39-ETM-29-2-12772" ref-type="bibr">39</xref>,<xref rid="b40-ETM-29-2-12772" ref-type="bibr">40</xref>). Therefore, reduced expression of MTAP may be related to the cell cycle. MTHFD1 plays a role in nucleotide synthesis and cell cycle (<xref rid="b41-ETM-29-2-12772" ref-type="bibr">41</xref>,<xref rid="b42-ETM-29-2-12772" ref-type="bibr">42</xref>). MTHFD1 has been reported to be related to serine metabolism, and it has been reported that when serine metabolism ceases, the expression of folate metabolism-related genes such as MTHFD1 declines and cells senescence (<xref rid="b43-ETM-29-2-12772" ref-type="bibr">43</xref>). It has been reported that knockdown of ZNF704 in cancer cells halts the cell cycle and induces apoptosis (<xref rid="b44-ETM-29-2-12772" ref-type="bibr">44</xref>). ZNF367 is involved in YAP signaling in carcinomas and is frequently enriched in aged brain tissue (<xref rid="b45-ETM-29-2-12772" ref-type="bibr">45</xref>,<xref rid="b46-ETM-29-2-12772" ref-type="bibr">46</xref>). In breast carcinomas, it negatively correlates with miR-21-5p, which has been shown to inhibit cancer cell proliferation (<xref rid="b47-ETM-29-2-12772" ref-type="bibr">47</xref>).</p>
<p>In colon adenocarcinomas, increased expression of miR-21-5p reportedly increases cell proliferation (<xref rid="b48-ETM-29-2-12772" ref-type="bibr">48</xref>). However, Li <italic>et al</italic> (<xref rid="b49-ETM-29-2-12772" ref-type="bibr">49</xref>) reported that in chondrosarcoma, increased expression of miR-21-5p induces apoptosis by causing G0/G1 cell cycle arrest. Furthermore, Liu <italic>et al</italic> (<xref rid="b50-ETM-29-2-12772" ref-type="bibr">50</xref>) compared kidney aging in freely-fed 3-month-old rats, 24-month-old rats, and calorie-restricted 24-month-old rats. They observed higher miR-21 expression in the freely-fed 24-month-old rats than in the calorie-restricted 24-month-old rats, suggesting that the miR-21 expression increased in the kidneys of the 24-month-old rats. This supports our results that increased miR-21 expression is associated with kidney aging (<xref rid="b50-ETM-29-2-12772" ref-type="bibr">50</xref>). Mens&#x00E0; <italic>et al</italic> (<xref rid="b51-ETM-29-2-12772" ref-type="bibr">51</xref>) reported that miR-21-5p expression is increased in EVs of aging HUVECs, which are secreted by aging HUVECs as an aging signal. This suggests that miR-21-5p expression increases as cells undergo senescence (<xref rid="b51-ETM-29-2-12772" ref-type="bibr">51</xref>). Thus, the accumulation of miR-21-5p contributes to the induction of cell senescence. Dellago <italic>et al</italic> (<xref rid="b52-ETM-29-2-12772" ref-type="bibr">52</xref>) reported that overexpression of miR-21 in HUVECs causes cellular senescence, suggesting that suppression of miR-21 expression may halt the progression of cellular senescence. They also found that CDC25A, a target gene of miR-21, inhibits cell proliferation through an increase in cyclin-dependent kinase 2 (CDK2), a protein required for the transition from the G1 to S phase of the cell cycle (<xref rid="b53-ETM-29-2-12772" ref-type="bibr">53</xref>). Cell cycle analysis suggests that the S phase of the cell cycle is reduced and G1 arrest occurs because of the failure of the transition from the G1 to S phase caused by decreased <italic>CDC25A</italic> expression. Our data also suggest that HUVECs with increased intracellular miR-21-5p and SA-&#x03B2;-GAL upon senescence induction are involved in the cell cycle and DNA repair by RNA-sequence enrichment analysis and cell cycle analysis. This suggests that miR-21-5p is involved in the cell cycle and DNA repair, which supports the results of our previous study.</p>
<p>We previously showed increased expression of mmu-miR-21a-5p in serum in cognitively impaired 58-week-old mice (<xref rid="b28-ETM-29-2-12772" ref-type="bibr">28</xref>). Because the Aging mice used in the present study were even older, it suggests that the expression of mmu-miR-21a-5p persistently increases with senescence. Moreover, Accardi <italic>et al</italic> (<xref rid="b54-ETM-29-2-12772" ref-type="bibr">54</xref>) found that plasma miR-21-5p was increased in individuals aged 51 to 99 years. They also demonstrated that passaging HUVECs induced senescence, resulting in increased intracellular miR-21-5p expression (<xref rid="b29-ETM-29-2-12772" ref-type="bibr">29</xref>), which supports our results. However, they did not analyze EV miR-21-5p. Thus, our results are novel as we found miR-21-5p secretion from senescence-induced HUVECs. This suggests that the senescent vascular endothelial cells secrete miR-21-5p, which accumulates in the blood. Based on our results and those of other groups, there is a close relationship between cognitive function, aging, and miR-21-5p expression. EV miR-21-5p may be a biomarker for the aging of vascular endothelial cells. By integrating our results with those of other researchers, we demonstrate a close relationship among miR-21-5p expression, cognitive function, and aging. In particular, miR-21-5p in EVs is a promising biomarker for vascular endothelial cell aging, potentially serving as a starting point for new studies exploring the connection between age-related cognitive decline and vascular degeneration. Future studies are required to further elucidate the functional role and mechanisms of miR-21-5p to enhance our understanding of the pathophysiology of aging. The limitation of this study is the extent to which the accumulation of endothelial cell senescence and miR-21-5p expression influence individual aging. Future research should increase the number of individual mice for detailed analysis and quantify the relationship between individual aging and the accumulation of endothelial cell senescence.</p>
</sec>
<sec sec-type="supplementary-material">
<title>Supplementary Material</title>
<supplementary-material id="SD1-ETM-29-2-12772" content-type="local-data">
<caption>
<title>SA-&#x03B2;-GAL analysis of HUVECs exposed to 4 Gy irradiation. The FITC fluorescence intensity of HUVECs stained with SPiDER-&#x03B2;Gal working solution was detected using a CytoFLEX flow cytometer. SA-&#x03B2; -GAL, senescence-associated &#x03B2;-galactosidase.</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data1.pdf"/>
</supplementary-material>
<supplementary-material id="SD2-ETM-29-2-12772" content-type="local-data">
<caption>
<title>Cell cycle analysis of HUVECs exposed to 4 Gy irradiation. PI-stained HUVECs were detected using the CytoFLEX flow cytometer, and the Kaluza 2.2 software was used to calculate the percentage of cells in the G<sub>1</sub>, S and G<sub>2</sub>/M phases.</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data1.pdf"/>
</supplementary-material>
<supplementary-material id="SD3-ETM-29-2-12772" content-type="local-data">
<caption>
<title>Primer sequences for miRNA reverse transcription-quantitative PCR.</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data2.pdf"/>
</supplementary-material>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec sec-type="data-availability">
<title>Availability of data and materials</title>
<p>The microarray data generated in the present study may be found in the Gene Expression Omnibus database under accession number GSE274943 or at the following URL: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE274943">https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE274943</ext-link>. The other data generated in the present study may be requested from the corresponding author.</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>KY and MC were major contributors in performing the experiments and writing the manuscript. KY and MC confirm the authenticity of all the raw data. All authors read and approved the final version of the manuscript.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>All animal experiments were performed in accordance with The Guideline for Animal Experimentation of Hirosaki University. The Animal Research Committee of Hirosaki University (approval no. AE01-2023-097-1; Hirosaki, Japan) approved and monitored the procedures. The Ethics Committee of Hirosaki University Graduate School of Health Sciences (Hirosaki, Japan) confirmed that ethical review is not required for research using commercially available, frequently used cultured cells.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="b1-ETM-29-2-12772"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Guo</surname><given-names>J</given-names></name><name><surname>Huang</surname><given-names>X</given-names></name><name><surname>Dou</surname><given-names>L</given-names></name><name><surname>Yan</surname><given-names>M</given-names></name><name><surname>Shen</surname><given-names>T</given-names></name><name><surname>Tang</surname><given-names>W</given-names></name><name><surname>Li</surname><given-names>J</given-names></name></person-group><article-title>Aging and aging-related diseases: From molecular mechanisms to interventions and treatments</article-title><source>Signal Transduct Target Ther</source><volume>7</volume><issue>391</issue><year>2022</year><pub-id pub-id-type="pmid">36522308</pub-id><pub-id pub-id-type="doi">10.1038/s41392-022-01251-0</pub-id></element-citation></ref>
<ref id="b2-ETM-29-2-12772"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Copp&#x00E9;</surname><given-names>JP</given-names></name><name><surname>Desprez</surname><given-names>PY</given-names></name><name><surname>Krtolica</surname><given-names>A</given-names></name><name><surname>Campisi</surname><given-names>J</given-names></name></person-group><article-title>The senescence-associated secretory phenotype: The dark side of tumor suppression</article-title><source>Annu Rev Pathol</source><volume>5</volume><fpage>99</fpage><lpage>118</lpage><year>2010</year><pub-id pub-id-type="pmid">20078217</pub-id><pub-id pub-id-type="doi">10.1146/annurev-pathol-121808-102144</pub-id></element-citation></ref>
<ref id="b3-ETM-29-2-12772"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wong</surname><given-names>PF</given-names></name><name><surname>Tong</surname><given-names>KL</given-names></name><name><surname>Jamal</surname><given-names>J</given-names></name><name><surname>Khor</surname><given-names>ES</given-names></name><name><surname>Lai</surname><given-names>SL</given-names></name><name><surname>Mustafa</surname><given-names>MR</given-names></name></person-group><article-title>Senescent HUVECs-secreted exosomes trigger endothelial barrier dysfunction in young endothelial cells</article-title><source>EXCLI</source><volume>18</volume><fpage>764</fpage><lpage>776</lpage><year>2019</year><pub-id pub-id-type="pmid">31611757</pub-id><pub-id pub-id-type="doi">10.17179/excli2019-1505</pub-id></element-citation></ref>
<ref id="b4-ETM-29-2-12772"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mongiardi</surname><given-names>MP</given-names></name><name><surname>Merolle</surname><given-names>M</given-names></name><name><surname>Fustaino</surname><given-names>V</given-names></name><name><surname>Levi</surname><given-names>A</given-names></name><name><surname>Falchetti</surname><given-names>ML</given-names></name></person-group><article-title>Gene expression profiling of hypoxic response in different models of senescent endothelial cells</article-title><source>Aging Clin Exp Res</source><volume>33</volume><fpage>1993</fpage><lpage>2001</lpage><year>2001</year><pub-id pub-id-type="pmid">31673993</pub-id><pub-id pub-id-type="doi">10.1007/s40520-019-01390-5</pub-id></element-citation></ref>
<ref id="b5-ETM-29-2-12772"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ridzuan</surname><given-names>N</given-names></name><name><surname>Al Abbar</surname><given-names>A</given-names></name><name><surname>Yip</surname><given-names>WK</given-names></name><name><surname>Maqbool</surname><given-names>M</given-names></name><name><surname>Ramasamy</surname><given-names>R</given-names></name></person-group><article-title>Characterization and expression of senescence marker in prolonged passages of rat bone marrow-derived mesenchymal stem cells</article-title><source>Stem Cells Int</source><volume>2016</volume><issue>8487264</issue><year>2016</year><pub-id pub-id-type="pmid">27579045</pub-id><pub-id pub-id-type="doi">10.1155/2016/8487264</pub-id></element-citation></ref>
<ref id="b6-ETM-29-2-12772"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname><given-names>J</given-names></name><name><surname>Liu</surname><given-names>D</given-names></name><name><surname>Zhao</surname><given-names>D</given-names></name><name><surname>Jiang</surname><given-names>X</given-names></name><name><surname>Meng</surname><given-names>X</given-names></name><name><surname>Jiang</surname><given-names>L</given-names></name><name><surname>Yu</surname><given-names>M</given-names></name><name><surname>Zhang</surname><given-names>L</given-names></name><name><surname>Jiang</surname><given-names>H</given-names></name></person-group><article-title>Role of low-dose radiation in senescence and aging: A beneficial perspective</article-title><source>Life Sci</source><volume>302</volume><issue>120644</issue><year>2022</year><pub-id pub-id-type="pmid">35588864</pub-id><pub-id pub-id-type="doi">10.1016/j.lfs.2022.120644</pub-id></element-citation></ref>
<ref id="b7-ETM-29-2-12772"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tanaka</surname><given-names>Y</given-names></name><name><surname>Takahashi</surname><given-names>A</given-names></name></person-group><article-title>Senescence-associated extracellular vesicle release plays a role in senescence-associated secretory phenotype (SASP) in age-associated diseases</article-title><source>J Biochem</source><volume>169</volume><fpage>147</fpage><lpage>153</lpage><year>2021</year><pub-id pub-id-type="pmid">33002139</pub-id><pub-id pub-id-type="doi">10.1093/jb/mvaa109</pub-id></element-citation></ref>
<ref id="b8-ETM-29-2-12772"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hallal</surname><given-names>S</given-names></name><name><surname>T&#x0171;zesi</surname><given-names>&#x00C1;</given-names></name><name><surname>Grau</surname><given-names>GE</given-names></name><name><surname>Buckland</surname><given-names>ME</given-names></name><name><surname>Alxander</surname><given-names>KL</given-names></name></person-group><article-title>Understanding the extracellular vesicle surface for clinical molecular biology</article-title><source>J Extracell Vesicles</source><volume>11</volume><issue>e12260</issue><year>2022</year><pub-id pub-id-type="pmid">36239734</pub-id><pub-id pub-id-type="doi">10.1002/jev2.12260</pub-id></element-citation></ref>
<ref id="b9-ETM-29-2-12772"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>O&#x0027;Brien</surname><given-names>K</given-names></name><name><surname>Breyne</surname><given-names>K</given-names></name><name><surname>Ughetto</surname><given-names>S</given-names></name><name><surname>Laurent</surname><given-names>LC</given-names></name><name><surname>Breakefield</surname><given-names>XO</given-names></name></person-group><article-title>RNA delivery by extracellular vesicles in mammalian cells and its applications</article-title><source>Nat Rev Mol Cell Biol</source><volume>21</volume><fpage>585</fpage><lpage>606</lpage><year>2020</year><pub-id pub-id-type="pmid">32457507</pub-id><pub-id pub-id-type="doi">10.1038/s41580-020-0251-y</pub-id></element-citation></ref>
<ref id="b10-ETM-29-2-12772"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nowicka</surname><given-names>G</given-names></name></person-group><article-title>Extracellular vesicles in the diagnosis and treatment of cardiovascular disease. What&#x0027;s behind? What do we need to implement them into clinical practice?</article-title><source>Int J Biochem Cell Biol</source><volume>172</volume><issue>106600</issue><year>2024</year><pub-id pub-id-type="pmid">38806094</pub-id><pub-id pub-id-type="doi">10.1016/j.biocel.2024.106600</pub-id></element-citation></ref>
<ref id="b11-ETM-29-2-12772"><label>11</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Adduri</surname><given-names>RSR</given-names></name><name><surname>Cai</surname><given-names>K</given-names></name><name><surname>Velasco-Alzate</surname><given-names>K</given-names></name><name><surname>Vasireddy</surname><given-names>R</given-names></name><name><surname>Miller</surname><given-names>JW</given-names></name><name><surname>de Fr&#x00ED;as</surname><given-names>SP</given-names></name><name><surname>de Fr&#x00ED;as</surname><given-names>FP</given-names></name><name><surname>Horimasu</surname><given-names>Y</given-names></name><name><surname>Iwamoto</surname><given-names>H</given-names></name><name><surname>Hattori</surname><given-names>N</given-names></name><etal/></person-group><article-title>Plasma extracellular vesicle proteins as promising noninvasive biomarkers for diagnosis of idiopathic pulmonary fibrosis</article-title><source>J Extracell Biol</source><volume>2</volume><issue>e98</issue><year>2023</year><pub-id pub-id-type="pmid">38939072</pub-id><pub-id pub-id-type="doi">10.1002/jex2.98</pub-id></element-citation></ref>
<ref id="b12-ETM-29-2-12772"><label>12</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Garc&#x00ED;a-Silva</surname><given-names>S</given-names></name><name><surname>Gallardo</surname><given-names>M</given-names></name><name><surname>Peinado</surname><given-names>H</given-names></name></person-group><article-title>DNA-loaded extracellular vesicles in liquid biopsy: Tiny players with big potential?</article-title><source>Front Cell Dev Biol</source><volume>8</volume><issue>622579</issue><year>2021</year><pub-id pub-id-type="pmid">33575258</pub-id><pub-id pub-id-type="doi">10.3389/fcell.2020.622579</pub-id></element-citation></ref>
<ref id="b13-ETM-29-2-12772"><label>13</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ekstr&#x00F6;m</surname><given-names>K</given-names></name><name><surname>Valadi</surname><given-names>H</given-names></name><name><surname>Sj&#x00F6;strand</surname><given-names>M</given-names></name><name><surname>Malmh&#x00E4;ll</surname><given-names>C</given-names></name><name><surname>Bossios</surname><given-names>A</given-names></name><name><surname>Eldh</surname><given-names>M</given-names></name><name><surname>L&#x00F6;tvall</surname><given-names>J</given-names></name></person-group><article-title>Characterization of mRNA and microRNA in human mast cell-derived exosomes and their transfer to other mast cells and blood CD34 progenitor cells</article-title><source>J Extracell Vesicles</source><volume>1</volume><issue>18389</issue><year>2012</year><pub-id pub-id-type="pmid">24009880</pub-id><pub-id pub-id-type="doi">10.3402/jev.v1i0.18389</pub-id></element-citation></ref>
<ref id="b14-ETM-29-2-12772"><label>14</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lagos-Quintana</surname><given-names>M</given-names></name><name><surname>Rauhut</surname><given-names>R</given-names></name><name><surname>Lendeckel</surname><given-names>W</given-names></name><name><surname>Tuschl</surname><given-names>T</given-names></name></person-group><article-title>Identification of novel genes coding for small expressed RNAs</article-title><source>Science</source><volume>294</volume><fpage>853</fpage><lpage>858</lpage><year>2001</year><pub-id pub-id-type="pmid">11679670</pub-id><pub-id pub-id-type="doi">10.1126/science.1064921</pub-id></element-citation></ref>
<ref id="b15-ETM-29-2-12772"><label>15</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Das</surname><given-names>K</given-names></name><name><surname>Rao</surname><given-names>LV</given-names></name></person-group><article-title>The role of microRNAs in inflammation</article-title><source>Int J Mol Sci</source><volume>23</volume><issue>15479</issue><year>2022</year><pub-id pub-id-type="pmid">36555120</pub-id><pub-id pub-id-type="doi">10.3390/ijms232415479</pub-id></element-citation></ref>
<ref id="b16-ETM-29-2-12772"><label>16</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nunes</surname><given-names>AD</given-names></name><name><surname>Weigl</surname><given-names>M</given-names></name><name><surname>Schneider</surname><given-names>A</given-names></name><name><surname>Noureddine</surname><given-names>S</given-names></name><name><surname>Yu</surname><given-names>L</given-names></name><name><surname>Lahde</surname><given-names>C</given-names></name><name><surname>Saccon</surname><given-names>TD</given-names></name><name><surname>Mitra</surname><given-names>K</given-names></name><name><surname>Beltran</surname><given-names>E</given-names></name><name><surname>Grillari</surname><given-names>J</given-names></name><etal/></person-group><article-title>miR-146a-5p modulates cellular senescence and apoptosis in visceral adipose tissue of long-lived Ames dwarf mice and in cultured pre-adipocytes</article-title><source>Geroscience</source><volume>44</volume><fpage>503</fpage><lpage>518</lpage><year>2022</year><pub-id pub-id-type="pmid">34825304</pub-id><pub-id pub-id-type="doi">10.1007/s11357-021-00490-3</pub-id></element-citation></ref>
<ref id="b17-ETM-29-2-12772"><label>17</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Suh</surname><given-names>N</given-names></name></person-group><article-title>MicroRNA controls of cellular senescence</article-title><source>BMB Rep</source><volume>51</volume><fpage>493</fpage><lpage>499</lpage><year>2018</year><pub-id pub-id-type="pmid">30269742</pub-id><pub-id pub-id-type="doi">10.5483/BMBRep.2018.51.10.209</pub-id></element-citation></ref>
<ref id="b18-ETM-29-2-12772"><label>18</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chan</surname><given-names>JA</given-names></name><name><surname>Krichevsky</surname><given-names>AM</given-names></name><name><surname>Kosik</surname><given-names>KS</given-names></name></person-group><article-title>MicroRNA-21 is an antipoptotic factor in human glioblastoma cells</article-title><source>Cancer Res</source><volume>65</volume><fpage>6029</fpage><lpage>6033</lpage><year>2005</year><pub-id pub-id-type="pmid">16024602</pub-id><pub-id pub-id-type="doi">10.1158/0008-5472.CAN-05-0137</pub-id></element-citation></ref>
<ref id="b19-ETM-29-2-12772"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>X</given-names></name><name><surname>Azhar</surname><given-names>G</given-names></name><name><surname>Wei</surname><given-names>JY</given-names></name></person-group><article-title>The expression of microRNA and microRNA clusters in the aging heart</article-title><source>PLoS One</source><volume>7</volume><issue>e34688</issue><year>2012</year><pub-id pub-id-type="pmid">22529925</pub-id><pub-id pub-id-type="doi">10.1371/journal.pone.0034688</pub-id></element-citation></ref>
<ref id="b20-ETM-29-2-12772"><label>20</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>P</given-names></name><name><surname>Zou</surname><given-names>F</given-names></name><name><surname>Zhang</surname><given-names>X</given-names></name><name><surname>Li</surname><given-names>H</given-names></name><name><surname>Dulak</surname><given-names>A</given-names></name><name><surname>Tomko</surname><given-names>RJ Jr</given-names></name><name><surname>Lazo</surname><given-names>JS</given-names></name><name><surname>Wang</surname><given-names>Z</given-names></name><name><surname>Zhang</surname><given-names>L</given-names></name><name><surname>Yu</surname><given-names>J</given-names></name></person-group><article-title>microRNA-21 negatively regulates Cdc25A and cell cycle progression in colon cancer cells</article-title><source>Cancer Res</source><volume>69</volume><fpage>8157</fpage><lpage>8165</lpage><year>2009</year><pub-id pub-id-type="pmid">19826040</pub-id><pub-id pub-id-type="doi">10.1158/0008-5472.CAN-09-1996</pub-id></element-citation></ref>
<ref id="b21-ETM-29-2-12772"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>Y</given-names></name><name><surname>Liu</surname><given-names>Y</given-names></name><name><surname>Liu</surname><given-names>H</given-names></name><name><surname>Tang</surname><given-names>WH</given-names></name></person-group><article-title>Exosomes: Biogenesis, biologic function and clinical potential</article-title><source>Cell Biosci</source><volume>9</volume><issue>19</issue><year>2019</year><pub-id pub-id-type="pmid">30815248</pub-id><pub-id pub-id-type="doi">10.1186/s13578-019-0282-2</pub-id></element-citation></ref>
<ref id="b22-ETM-29-2-12772"><label>22</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Iglesias</surname><given-names>MJ</given-names></name><name><surname>Kruse</surname><given-names>LD</given-names></name><name><surname>Sanchez-Rivera</surname><given-names>L</given-names></name><name><surname>Enge</surname><given-names>L</given-names></name><name><surname>Dusart</surname><given-names>P</given-names></name><name><surname>Hong</surname><given-names>MG</given-names></name><name><surname>Uhl&#x00E9;n</surname><given-names>M</given-names></name><name><surname>Renn&#x00E9;</surname><given-names>T</given-names></name><name><surname>Schwenk</surname><given-names>JM</given-names></name><name><surname>Bergstrom</surname><given-names>G</given-names></name><etal/></person-group><article-title>Identification of endothelial proteins in plasma associated with cardiovascular risk factors</article-title><source>Arterioscler Thromb Vasc Biol</source><volume>41</volume><fpage>2990</fpage><lpage>3004</lpage><year>2021</year><pub-id pub-id-type="pmid">34706560</pub-id><pub-id pub-id-type="doi">10.1161/ATVBAHA.121.316779</pub-id></element-citation></ref>
<ref id="b23-ETM-29-2-12772"><label>23</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Berezin</surname><given-names>AE</given-names></name><name><surname>Berezin</surname><given-names>AA</given-names></name></person-group><article-title>Extracellular endothelial cell-derived vesicles: Emerging role in cardiac and vascular remodeling in heart failure</article-title><source>Front Cardiovasc Med</source><volume>15</volume><issue>47</issue><year>2020</year><pub-id pub-id-type="pmid">32351973</pub-id><pub-id pub-id-type="doi">10.3389/fcvm.2020.00047</pub-id></element-citation></ref>
<ref id="b24-ETM-29-2-12772"><label>24</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Casella</surname><given-names>G</given-names></name><name><surname>Munk</surname><given-names>R</given-names></name><name><surname>Kim</surname><given-names>KM</given-names></name><name><surname>Piao</surname><given-names>Y</given-names></name><name><surname>De</surname><given-names>S</given-names></name><name><surname>Abdelmohsen</surname><given-names>K</given-names></name><name><surname>Gorospe</surname><given-names>M</given-names></name></person-group><article-title>Transcriptome signature of cellular senescence</article-title><source>Nucleic Acids Res</source><volume>47</volume><fpage>7294</fpage><lpage>7305</lpage><year>2019</year><pub-id pub-id-type="pmid">31612919</pub-id><pub-id pub-id-type="doi">10.1093/nar/gkz879</pub-id></element-citation></ref>
<ref id="b25-ETM-29-2-12772"><label>25</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chiba</surname><given-names>M</given-names></name><name><surname>Uehara</surname><given-names>H</given-names></name><name><surname>Niiyama</surname><given-names>I</given-names></name><name><surname>Kuwata</surname><given-names>H</given-names></name><name><surname>Monzen</surname><given-names>S</given-names></name></person-group><article-title>Changes in miRNA expressions in the injured small intestine of mice following high-dose radiation exposure</article-title><source>Mol Med Rep</source><volume>21</volume><fpage>2452</fpage><lpage>2458</lpage><year>2020</year><pub-id pub-id-type="pmid">32323814</pub-id><pub-id pub-id-type="doi">10.3892/mmr.2020.11054</pub-id></element-citation></ref>
<ref id="b26-ETM-29-2-12772"><label>26</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yamamoto</surname><given-names>K</given-names></name><name><surname>Chiba</surname><given-names>M</given-names></name></person-group><article-title>Examination and comparison of the RNA extraction methods using mouse serum</article-title><source>Biomed Rep</source><volume>20</volume><issue>51</issue><year>2024</year><pub-id pub-id-type="pmid">38357232</pub-id><pub-id pub-id-type="doi">10.3892/br.2024.1739</pub-id></element-citation></ref>
<ref id="b27-ETM-29-2-12772"><label>27</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ritchie</surname><given-names>ME</given-names></name><name><surname>Phipson</surname><given-names>B</given-names></name><name><surname>Wu</surname><given-names>D</given-names></name><name><surname>Hu</surname><given-names>Y</given-names></name><name><surname>Law</surname><given-names>CW</given-names></name><name><surname>Shi</surname><given-names>W</given-names></name><name><surname>Smyth</surname><given-names>GK</given-names></name></person-group><article-title>limma powers differential expression analyses for RNA-sequencing and microarray studies</article-title><source>Nucleic Acids Res</source><volume>43</volume><issue>e47</issue><year>2015</year><pub-id pub-id-type="pmid">25605792</pub-id><pub-id pub-id-type="doi">10.1093/nar/gkv007</pub-id></element-citation></ref>
<ref id="b28-ETM-29-2-12772"><label>28</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yamamoto</surname><given-names>K</given-names></name><name><surname>Miyano</surname><given-names>K</given-names></name><name><surname>Fujita</surname><given-names>M</given-names></name><name><surname>Kurata</surname><given-names>W</given-names></name><name><surname>Ohta</surname><given-names>H</given-names></name><name><surname>Matsumoto</surname><given-names>K</given-names></name><name><surname>Chiba</surname><given-names>M</given-names></name></person-group><article-title>Changes in cognitive ability and serum microRNA levels during aging in mice</article-title><source>Exp Ther Med</source><volume>27</volume><issue>120</issue><year>2024</year><pub-id pub-id-type="pmid">38361521</pub-id><pub-id pub-id-type="doi">10.3892/etm.2024.12408</pub-id></element-citation></ref>
<ref id="b29-ETM-29-2-12772"><label>29</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bouten</surname><given-names>RM</given-names></name><name><surname>Dalgard</surname><given-names>CL</given-names></name><name><surname>Soltis</surname><given-names>AR</given-names></name><name><surname>Slaven</surname><given-names>JE</given-names></name><name><surname>Day</surname><given-names>RM</given-names></name></person-group><article-title>Transcriptomic profiling and pathway analysis of cultured human lung microvascular endothelial cells following ionizing radiation exposure</article-title><source>Sci Rep</source><volume>11</volume><issue>24214</issue><year>2021</year><pub-id pub-id-type="pmid">34930946</pub-id><pub-id pub-id-type="doi">10.1038/s41598-021-03636-7</pub-id></element-citation></ref>
<ref id="b30-ETM-29-2-12772"><label>30</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Livak</surname><given-names>KJ</given-names></name><name><surname>Schmittgen</surname><given-names>TD</given-names></name></person-group><article-title>Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method</article-title><source>Methods</source><volume>25</volume><fpage>402</fpage><lpage>408</lpage><year>2001</year><pub-id pub-id-type="pmid">11846609</pub-id><pub-id pub-id-type="doi">10.1006/meth.2001.1262</pub-id></element-citation></ref>
<ref id="b31-ETM-29-2-12772"><label>31</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname><given-names>S</given-names></name><name><surname>Zhou</surname><given-names>Y</given-names></name><name><surname>Chen</surname><given-names>Y</given-names></name><name><surname>Gu</surname><given-names>J</given-names></name></person-group><article-title>fastp: An ultra-fast all-in-one FASTQ preprocessor</article-title><source>Bioinformatics</source><volume>34</volume><fpage>i884</fpage><lpage>i890</lpage><year>2018</year><pub-id pub-id-type="pmid">30423086</pub-id><pub-id pub-id-type="doi">10.1093/bioinformatics/bty560</pub-id></element-citation></ref>
<ref id="b32-ETM-29-2-12772"><label>32</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Patro</surname><given-names>R</given-names></name><name><surname>Duggal</surname><given-names>G</given-names></name><name><surname>Love</surname><given-names>MI</given-names></name><name><surname>Irizarry</surname><given-names>RA</given-names></name><name><surname>Kingsford</surname><given-names>C</given-names></name></person-group><article-title>Salmon provides fast and bias-aware quantification of transcript expression</article-title><source>Nat Methods</source><volume>14</volume><fpage>417</fpage><lpage>419</lpage><year>2017</year><pub-id pub-id-type="pmid">28263959</pub-id><pub-id pub-id-type="doi">10.1038/nmeth.4197</pub-id></element-citation></ref>
<ref id="b33-ETM-29-2-12772"><label>33</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Soneson</surname><given-names>C</given-names></name><name><surname>Love</surname><given-names>MI</given-names></name><name><surname>Robinson</surname><given-names>MD</given-names></name></person-group><article-title>Differential analyses for RNA-seq: Transcript-level estimates improve gene-level inferences</article-title><source>F1000Res</source><volume>4</volume><issue>1521</issue><year>2015</year><pub-id pub-id-type="pmid">26925227</pub-id><pub-id pub-id-type="doi">10.12688/f1000research.7563.2</pub-id></element-citation></ref>
<ref id="b34-ETM-29-2-12772"><label>34</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname><given-names>Y</given-names></name><name><surname>Lun</surname><given-names>AT</given-names></name><name><surname>Smyth</surname><given-names>GK</given-names></name></person-group><article-title>From reads to genes to pathways: Differential expression analysis of RNA-Seq experiments using Rsubread and the edgeR quasi-likelihood pipeline</article-title><source>F1000Res</source><volume>5</volume><issue>1438</issue><year>2016</year><pub-id pub-id-type="pmid">27508061</pub-id><pub-id pub-id-type="doi">10.12688/f1000research.8987.2</pub-id></element-citation></ref>
<ref id="b35-ETM-29-2-12772"><label>35</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yu</surname><given-names>G</given-names></name><name><surname>Wang</surname><given-names>LG</given-names></name><name><surname>Han</surname><given-names>Y</given-names></name><name><surname>He</surname><given-names>QY</given-names></name></person-group><article-title>clusterProfiler: An R package for comparing biological themes among gene clusters</article-title><source>OMICS</source><volume>16</volume><fpage>284</fpage><lpage>287</lpage><year>2012</year><pub-id pub-id-type="pmid">22455463</pub-id><pub-id pub-id-type="doi">10.1089/omi.2011.0118</pub-id></element-citation></ref>
<ref id="b36-ETM-29-2-12772"><label>36</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yu</surname><given-names>G</given-names></name><name><surname>He</surname><given-names>QY</given-names></name></person-group><article-title>ReactomePA: An R/Bioconductor package for reactome pathway analysis and visualization</article-title><source>Mol Biosyst</source><volume>12</volume><fpage>477</fpage><lpage>479</lpage><year>2016</year><pub-id pub-id-type="pmid">26661513</pub-id><pub-id pub-id-type="doi">10.1039/c5mb00663e</pub-id></element-citation></ref>
<ref id="b37-ETM-29-2-12772"><label>37</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Edelbrock</surname><given-names>MA</given-names></name><name><surname>Kaliyaperumal</surname><given-names>S</given-names></name><name><surname>Williams</surname><given-names>KJ</given-names></name></person-group><article-title>Structural, molecular and cellular functions of MSH2 and MSH6 during DNA mismatch repair, damage signaling and other noncanonical activities</article-title><source>Mutat Res</source><volume>743</volume><fpage>53</fpage><lpage>66</lpage><year>2013</year><pub-id pub-id-type="pmid">23391514</pub-id><pub-id pub-id-type="doi">10.1016/j.mrfmmm.2012.12.008</pub-id></element-citation></ref>
<ref id="b38-ETM-29-2-12772"><label>38</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fan</surname><given-names>N</given-names></name><name><surname>Zhang</surname><given-names>Y</given-names></name><name><surname>Zou</surname><given-names>S</given-names></name></person-group><article-title>Methylthioadenosine phosphorylase deficiency in tumors: A compelling therapeutic target</article-title><source>Front Cell Dev Biol</source><volume>5</volume><issue>1173356</issue><year>2023</year><pub-id pub-id-type="pmid">37091983</pub-id><pub-id pub-id-type="doi">10.3389/fcell.2023.1173356</pub-id></element-citation></ref>
<ref id="b39-ETM-29-2-12772"><label>39</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Marjon</surname><given-names>K</given-names></name><name><surname>Cameron</surname><given-names>MJ</given-names></name><name><surname>Quang</surname><given-names>P</given-names></name><name><surname>Clasquin</surname><given-names>MF</given-names></name><name><surname>Mandley</surname><given-names>E</given-names></name><name><surname>Kunii</surname><given-names>K</given-names></name><name><surname>McVay</surname><given-names>M</given-names></name><name><surname>Choe</surname><given-names>S</given-names></name><name><surname>Kernytsky</surname><given-names>A</given-names></name><name><surname>Gross</surname><given-names>S</given-names></name><etal/></person-group><article-title>MTAP deletions in cancer create vulnerability to targeting of the MAT2A/PRMT5/RIOK1 axis</article-title><source>Cell Rep</source><volume>15</volume><fpage>574</fpage><lpage>587</lpage><year>2016</year><pub-id pub-id-type="pmid">27068473</pub-id><pub-id pub-id-type="doi">10.1016/j.celrep.2016.03.043</pub-id></element-citation></ref>
<ref id="b40-ETM-29-2-12772"><label>40</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kryukov</surname><given-names>GV</given-names></name><name><surname>Wilson</surname><given-names>FH</given-names></name><name><surname>Ruth</surname><given-names>JR</given-names></name><name><surname>Paulk</surname><given-names>J</given-names></name><name><surname>Tsherniak</surname><given-names>A</given-names></name><name><surname>Marlow</surname><given-names>SE</given-names></name><name><surname>Vazquez</surname><given-names>F</given-names></name><name><surname>Weir</surname><given-names>BA</given-names></name><name><surname>Fitzgerald</surname><given-names>ME</given-names></name><name><surname>Tanaka</surname><given-names>M</given-names></name><etal/></person-group><article-title>MTAP deletion confers enhanced dependency on the PRMT5 arginine methyltransferase in cancer cells</article-title><source>Science</source><volume>351</volume><fpage>1214</fpage><lpage>1218</lpage><year>2016</year><pub-id pub-id-type="pmid">26912360</pub-id><pub-id pub-id-type="doi">10.1126/science.aad5214</pub-id></element-citation></ref>
<ref id="b41-ETM-29-2-12772"><label>41</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Galbiatti</surname><given-names>AL</given-names></name><name><surname>da Silva</surname><given-names>LM</given-names></name><name><surname>Ruiz-Cintra</surname><given-names>MT</given-names></name><name><surname>Raposo</surname><given-names>LS</given-names></name><name><surname>Man&#x00ED;glia</surname><given-names>JV</given-names></name><name><surname>Pavarino</surname><given-names>&#x00C9;C</given-names></name><name><surname>Goloni-Bertollo</surname><given-names>EM</given-names></name></person-group><article-title>Association between 11 genetic polymorphisms in folate-metabolising genes and head and neck cancer risk</article-title><source>Eur J Cancer</source><volume>48</volume><fpage>1525</fpage><lpage>1531</lpage><year>2012</year><pub-id pub-id-type="pmid">22051736</pub-id><pub-id pub-id-type="doi">10.1016/j.ejca.2011.09.025</pub-id></element-citation></ref>
<ref id="b42-ETM-29-2-12772"><label>42</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>He</surname><given-names>D</given-names></name><name><surname>Yu</surname><given-names>Z</given-names></name><name><surname>Liu</surname><given-names>S</given-names></name><name><surname>Dai</surname><given-names>H</given-names></name><name><surname>Xu</surname><given-names>Q</given-names></name><name><surname>Li</surname><given-names>F</given-names></name></person-group><article-title>Methylenetetrahydrofolate dehydrogenase 1 (MTHFD1) is underexpressed in clear cell renal cell carcinoma tissue and transfection and overexpression in Caki-1 cells inhibits cell proliferation and increases apoptosis</article-title><source>Med Sci Monit</source><volume>21</volume><fpage>8391</fpage><lpage>8400</lpage><year>2018</year><pub-id pub-id-type="pmid">30459299</pub-id><pub-id pub-id-type="doi">10.12659/MSM.911124</pub-id></element-citation></ref>
<ref id="b43-ETM-29-2-12772"><label>43</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhou</surname><given-names>S</given-names></name><name><surname>Cui</surname><given-names>J</given-names></name><name><surname>Shi</surname><given-names>Y</given-names></name></person-group><article-title>Serine metabolism regulates the replicative senescence of human dental pulp cells through histone methylation</article-title><source>Curr Issues Mol Biol</source><volume>24</volume><fpage>2856</fpage><lpage>2870</lpage><year>2024</year><pub-id pub-id-type="pmid">38666909</pub-id><pub-id pub-id-type="doi">10.3390/cimb46040179</pub-id></element-citation></ref>
<ref id="b44-ETM-29-2-12772"><label>44</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Luo</surname><given-names>J</given-names></name><name><surname>Li</surname><given-names>H</given-names></name><name><surname>Xiu</surname><given-names>J</given-names></name><name><surname>Zeng</surname><given-names>J</given-names></name><name><surname>Feng</surname><given-names>Z</given-names></name><name><surname>Zhao</surname><given-names>H</given-names></name><name><surname>Li</surname><given-names>Y</given-names></name><name><surname>Wei</surname><given-names>W</given-names></name></person-group><article-title>Elevated ZNF704 expression is associated with poor prognosis of uveal melanoma and promotes cancer cell growth by regulating AKT/mTOR signaling</article-title><source>Biomark Res</source><volume>10</volume><issue>38</issue><year>2023</year><pub-id pub-id-type="pmid">37038184</pub-id><pub-id pub-id-type="doi">10.1186/s40364-023-00471-y</pub-id></element-citation></ref>
<ref id="b45-ETM-29-2-12772"><label>45</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lei</surname><given-names>T</given-names></name><name><surname>Gao</surname><given-names>Y</given-names></name><name><surname>Duan</surname><given-names>Y</given-names></name><name><surname>Cui</surname><given-names>C</given-names></name><name><surname>Zhang</surname><given-names>L</given-names></name><name><surname>Si</surname><given-names>M</given-names></name></person-group><article-title>Inhibition of zinc finger protein 367 exerts a tumor suppressive role in colorectal cancer by affecting the activation of oncogenic YAP1 signaling</article-title><source>Environ Toxicol</source><volume>36</volume><fpage>2278</fpage><lpage>2290</lpage><year>2021</year><pub-id pub-id-type="pmid">34351699</pub-id><pub-id pub-id-type="doi">10.1002/tox.23341</pub-id></element-citation></ref>
<ref id="b46-ETM-29-2-12772"><label>46</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Baumgart</surname><given-names>M</given-names></name><name><surname>Groth</surname><given-names>M</given-names></name><name><surname>Priebe</surname><given-names>S</given-names></name><name><surname>Savino</surname><given-names>A</given-names></name><name><surname>Testa</surname><given-names>G</given-names></name><name><surname>Dix</surname><given-names>A</given-names></name><name><surname>Ripa</surname><given-names>R</given-names></name><name><surname>Spallotta</surname><given-names>F</given-names></name><name><surname>Gaetano</surname><given-names>C</given-names></name><name><surname>Ori</surname><given-names>M</given-names></name><etal/></person-group><article-title>RNA-seq of the aging brain in the short-lived fish N. furzeri-conserved pathways and novel genes associated with neurogenesis</article-title><source>Aging Cell</source><volume>13</volume><fpage>965</fpage><lpage>974</lpage><year>2014</year><pub-id pub-id-type="pmid">25059688</pub-id><pub-id pub-id-type="doi">10.1111/acel.12257</pub-id></element-citation></ref>
<ref id="b47-ETM-29-2-12772"><label>47</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Du</surname><given-names>L</given-names></name><name><surname>Tao</surname><given-names>X</given-names></name><name><surname>Shen</surname><given-names>X</given-names></name></person-group><article-title>Human umbilical cord mesenchymal stem cell-derived exosomes inhibit migration and invasion of breast cancer cells via miR-21-5p/ZNF367 pathway</article-title><source>Breast Cancer</source><volume>28</volume><fpage>829</fpage><lpage>837</lpage><year>2021</year><pub-id pub-id-type="pmid">33770377</pub-id><pub-id pub-id-type="doi">10.1007/s12282-021-01218-z</pub-id></element-citation></ref>
<ref id="b48-ETM-29-2-12772"><label>48</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yu</surname><given-names>W</given-names></name><name><surname>Zhu</surname><given-names>K</given-names></name><name><surname>Wang</surname><given-names>Y</given-names></name><name><surname>Yu</surname><given-names>H</given-names></name><name><surname>Guo</surname><given-names>J</given-names></name></person-group><article-title>Overexpression of miR-21-5p promotes proliferation and invasion of colon adenocarcinoma cells through targeting CHL1</article-title><source>Mol Med</source><volume>24</volume><issue>36</issue><year>2018</year><pub-id pub-id-type="pmid">30134821</pub-id><pub-id pub-id-type="doi">10.1186/s10020-018-0034-5</pub-id></element-citation></ref>
<ref id="b49-ETM-29-2-12772"><label>49</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>G</given-names></name><name><surname>Yang</surname><given-names>Y</given-names></name><name><surname>Xu</surname><given-names>S</given-names></name><name><surname>He</surname><given-names>M</given-names></name><name><surname>Zhang</surname><given-names>Z</given-names></name></person-group><article-title>mir-21-5p inhibits the progression of human chondrosarcoma by regulating CCR7/STAT3/NF-&#x03BA;B pathway</article-title><source>Connect Tissue Res</source><volume>62</volume><fpage>313</fpage><lpage>324</lpage><year>2021</year><pub-id pub-id-type="pmid">31813289</pub-id><pub-id pub-id-type="doi">10.1080/03008207.2019.1702650</pub-id></element-citation></ref>
<ref id="b50-ETM-29-2-12772"><label>50</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname><given-names>JR</given-names></name><name><surname>Cai</surname><given-names>GY</given-names></name><name><surname>Ning</surname><given-names>YC</given-names></name><name><surname>Wang</surname><given-names>JC</given-names></name><name><surname>Lv</surname><given-names>Y</given-names></name><name><surname>Guo</surname><given-names>YN</given-names></name><name><surname>Fu</surname><given-names>B</given-names></name><name><surname>Hong</surname><given-names>Q</given-names></name><name><surname>Sun</surname><given-names>XF</given-names></name><name><surname>Chen</surname><given-names>XM</given-names></name></person-group><article-title>Caloric restriction alleviates aging-related fibrosis of kidney through downregulation of miR-21 in extracellular vesicles</article-title><source>Aging</source><volume>27</volume><fpage>18052</fpage><lpage>18072</lpage><year>2020</year><pub-id pub-id-type="pmid">32963130</pub-id><pub-id pub-id-type="doi">10.18632/aging.103591</pub-id></element-citation></ref>
<ref id="b51-ETM-29-2-12772"><label>51</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mens&#x00E0;</surname><given-names>E</given-names></name><name><surname>Guescini</surname><given-names>M</given-names></name><name><surname>Giuliani</surname><given-names>A</given-names></name><name><surname>Bacalini</surname><given-names>MG</given-names></name><name><surname>Ramini</surname><given-names>D</given-names></name><name><surname>Corleone</surname><given-names>G</given-names></name><name><surname>Ferracin</surname><given-names>M</given-names></name><name><surname>Fulgenzi</surname><given-names>G</given-names></name><name><surname>Graciotti</surname><given-names>L</given-names></name><name><surname>Prattichizzo</surname><given-names>F</given-names></name><etal/></person-group><article-title>Small extracellular vesicles deliver miR-21 and miR-217 as pro-senescence effectors to endothelial cells</article-title><source>J Extracell Ves</source><volume>18</volume><issue>1725285</issue><year>2020</year><pub-id pub-id-type="pmid">32158519</pub-id><pub-id pub-id-type="doi">10.1080/20013078.2020.1725285</pub-id></element-citation></ref>
<ref id="b52-ETM-29-2-12772"><label>52</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dellago</surname><given-names>H</given-names></name><name><surname>Preschitz-Kammerhofer</surname><given-names>B</given-names></name><name><surname>Terlecki-Zaniewicz</surname><given-names>L</given-names></name><name><surname>Schreiner</surname><given-names>C</given-names></name><name><surname>Fortschegger</surname><given-names>K</given-names></name><name><surname>Chang</surname><given-names>MW</given-names></name><name><surname>Hackl</surname><given-names>M</given-names></name><name><surname>Monteforte</surname><given-names>R</given-names></name><name><surname>K&#x00FC;hnel</surname><given-names>H</given-names></name><name><surname>Schosserer</surname><given-names>M</given-names></name><etal/></person-group><article-title>High levels of oncomiR-21 contribute to the senescence-induced growth arrest in normal human cells and its knock-down increases the replicative lifespan</article-title><source>Aging Cell</source><volume>12</volume><fpage>446</fpage><lpage>458</lpage><year>2013</year><pub-id pub-id-type="pmid">23496142</pub-id><pub-id pub-id-type="doi">10.1111/acel.12069</pub-id></element-citation></ref>
<ref id="b53-ETM-29-2-12772"><label>53</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Donzelli</surname><given-names>M</given-names></name><name><surname>Draetta</surname><given-names>GF</given-names></name></person-group><article-title>Regulating mammalian checkpoints through Cdc25 inactivation</article-title><source>EMBO Rep</source><volume>4</volume><fpage>671</fpage><lpage>677</lpage><year>2003</year><pub-id pub-id-type="pmid">12835754</pub-id><pub-id pub-id-type="doi">10.1038/sj.embor.embor887</pub-id></element-citation></ref>
<ref id="b54-ETM-29-2-12772"><label>54</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Accardi</surname><given-names>G</given-names></name><name><surname>Bono</surname><given-names>F</given-names></name><name><surname>Cammarata</surname><given-names>G</given-names></name><name><surname>Aiello</surname><given-names>A</given-names></name><name><surname>Herrero</surname><given-names>MT</given-names></name><name><surname>Alessandro</surname><given-names>R</given-names></name><name><surname>Augello</surname><given-names>G</given-names></name><name><surname>Carru</surname><given-names>C</given-names></name><name><surname>Colomba</surname><given-names>P</given-names></name><name><surname>Costa</surname><given-names>MA</given-names></name><etal/></person-group><article-title>miR-126-3p and miR-21-5p as hallmarks of bio-positive ageing; correlation analysis and machine learning prediction in young to ultra-centenarian Sicilian population</article-title><source>Cells</source><volume>11</volume><issue>1505</issue><year>2022</year><pub-id pub-id-type="pmid">35563810</pub-id><pub-id pub-id-type="doi">10.3390/cells11091505</pub-id></element-citation></ref>
</ref-list>
</back>
<floats-group>
<fig id="f1-ETM-29-2-12772" position="float">
<label>Figure 1</label>
<caption><p>miRNA microarray analysis of blood EVs in aging and young mice. RNA of EVs in the serum of aging and young mice was extracted for miRNA expression analysis. The exoRNeasy midi kit was used to extract EV RNA. (A) Confirmation of serum EV RNA size in aging and young mice. The size of extracted EV RNA was confirmed using an Agilent RNA 6000 Pico kit. Small RNA of 25-200 nt was observed in the serum RNA of both aging and young mice. (B) Expression analysis of serum EV miRNAs in aging and young mice. miRNAs with &#x2265;1.5-fold expression change and P&#x003C;0.05 in aging mice compared with young mice were examined. The mmu-miR-21a-5p, mmu-miR-3473b and mmu-miR-7047-5p transcripts were detected in the volcano plot. (C) RT-qPCR validation of miRNAs identified in the volcano plot. RT-qPCR validation was performed for the three miRNAs verified to be increased in (B). In the serum of the aging mice, mmu-miR-3473b was increased; however, this was not statistically significant, whereas mmu-miR-21a-5p and mmu-miR-7047-5p were statistically significantly increased. <sup>&#x002A;</sup>P&#x003C;0.05. <sup>&#x002A;&#x002A;</sup>P&#x003C;0.01. EV, extracellular vesicle; miRNA/miR, microRNA; RT-qPCR, reverse transcription-quantitative PCR.</p></caption>
<graphic xlink:href="etm-29-02-12772-g00.tif" />
</fig>
<fig id="f2-ETM-29-2-12772" position="float">
<label>Figure 2</label>
<caption><p>RNA-sequencing reanalysis of HUVECs irradiated with 4 Gy. To examine gene expression in 4 Gy-irradiated and senescence-induced HUVECs, the RNA-sequencing data from GSE130727 (SRR9016151 to SRR9016156) were reanalyzed. (A) Heat map showing hierarchical clustering of the gene expression profiles of 4 Gy-irradiated HUVECs (4 Gy) and nonirradiated HUVECs (0 Gy). Each row represents a gene and each column represents a sample. Gene expression levels were normalized, with green indicating upregulation and red indicating downregulation. (B) PCA plot showing the distribution of 4 Gy-irradiated (red) and nonirradiated (blue) HUVECs. PC1 and PC2 accounted for 79.92 and 14.27&#x0025; of the total variance, respectively. Each point represents an individual sample. (C) Volcano plot of the differentially expressed genes in 4 Gy-irradiated and nonirradiated HUVECs. Genes with a FDR &#x003C;0.05 and a fold-change &#x2265;1.5 are plotted in red. FDR, false discovery rate; PC, principal component; PCA, principal component analysis.</p></caption>
<graphic xlink:href="etm-29-02-12772-g01.tif" />
</fig>
<fig id="f3-ETM-29-2-12772" position="float">
<label>Figure 3</label>
<caption><p>Enrichment analysis of DEGs identified from the RNA-sequencing reanalysis results. (A) Gene Set Enrichment Analysis of DEGs annotated with GO terms. The horizontal axis indicates the enrichment score, and the vertical axis represents the GO terms associated with each annotated gene. (B) Dot plots showing the most significantly enriched GO terms for all gene ontologies. The horizontal axis indicates the GeneRatio and the vertical axis indicates the GO term. The size of the dots represents the number of genes associated with each term and the color indicates the significance of enrichment. (C) Dot plot showing the most significant annotated pathways among all KEGG pathways. The horizontal axis indicates the GeneRatio and the vertical axis indicates the KEGG pathway. The size of the dots represents the number of genes associated with each term and the color indicates the significance of enrichment. (D) Dot plot showing the most significant annotated pathways among the Reactome pathways. The horizontal axis indicates the GeneRatio and the vertical axis indicates the Reactome pathway. The size of the dots represents the number of genes associated with each term and the color indicates the significance of enrichment. DEG, differentially expressed gene; GO, Gene Ontology; HCMV, human cytomegalovirus; KEGG, Kyoto Encyclopedia of Genes and Genomes; ncRNA, non-coding RNA; ORC, origin recognition complex; p.adjust, adjusted P-value; rRNA, ribosomal RNA.</p></caption>
<graphic xlink:href="etm-29-02-12772-g02.tif" />
</fig>
<fig id="f4-ETM-29-2-12772" position="float">
<label>Figure 4</label>
<caption><p>Quantitation of gene expression and cell cycle analysis of senescence-induced HUVECs. Total RNA was extracted from HUVECs cultured for 10 days after 4 Gy irradiation and the expression levels of miR-21-5p and candidate target genes were quantified by RT-qPCR. Senescence and cell cycle analysis of HUVECs was performed. (A) Venn diagram of downregulated genes and miR-21-5p target candidate genes based on the RNA-sequencing reanalysis data. Candidate target genes were downloaded from TargetScan (<ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.targetscan.org/vert_72/">https://www.targetscan.org/vert_72/</ext-link>). A total of six common genes, including <italic>CDC25A</italic>, <italic>MSH2</italic>, <italic>MTAP</italic>, <italic>MTHFD1</italic>, <italic>ZNF367</italic> and <italic>ZNF704</italic>, were detected. (B) Quantitation of gene expression by RT-qPCR of intracellular miR-21-5p in HUVECs cultured for 10 days following 4 Gy irradiation. The expression of intracellular miR-21-5p was significantly increased in 4 Gy-irradiated HUVECs compared with in nonirradiated HUVECs. (C) Quantitation of targeted-candidate genes in the RNA-sequencing reanalysis data by RT-qPCR. The expression of five genes was significantly decreased in 4 Gy-irradiated HUVECs compared with nonirradiated HUVECs. (D) SA-&#x03B2;-GAL staining of HUVECs cultured for 10 days after 4 Gy irradiation or nonirradiated cells. Blue-stained cells are SA-&#x03B2;-GAL-positive cells. Scale bar, 50 &#x00B5;m. (E) Quantitative analysis of fluorescence intensity by flow cytometry using SPiDER-&#x03B2;Gal. The fluorescence intensity was significantly increased in HUVECs irradiated with 4 Gy compared with nonirradiated HUVECs. (F) Cell cycle analysis of HUVECs cultured for 10 days after irradiation with 4 Gy vs. nonirradiated cells. The y-axis indicates the percentage of each cell cycle phase. The 4 Gy-irradiated HUVECs exhibited a significantly lower percentage of S phase cells, and a significant increase in G<sub>1</sub> and G<sub>2</sub>/M phase cells compared with non-irradiated HUVECs. All experiments were performed with n=4. <sup>&#x002A;</sup>P&#x003C;0.05, <sup>&#x002A;&#x002A;</sup>P&#x003C;0.01. <italic>CDC25A</italic>, cell division cycle 25A; miR, microRNA; <italic>MSH2</italic>, mutS homolog 2; <italic>MTAP</italic>, methylthioadenosine phosphorylase; <italic>MTHFD1</italic>, methylenetetrahydrofolate dehydrogenase cyclohydrolase and formyltetrahydrofolate synthetase 1; RNA-seq, RNA sequencing; RT-qPCR, reverse transcription-quantitative PCR; SA-&#x03B2;-GAL, senescence-associated &#x03B2;-galactosidase; <italic>ZNF367</italic>, zinc finger protein 367; <italic>ZNF704</italic>, zinc finger protein 704.</p></caption>
<graphic xlink:href="etm-29-02-12772-g03.tif" />
</fig>
<fig id="f5-ETM-29-2-12772" position="float">
<label>Figure 5</label>
<caption><p>Expression analysis of EV miR-21-5p secreted from HUVECs. Culture supernatants from HUVECs were collected and PS capture was used to confirm the expression of tetraspanins as EV markers and changes in miR-21-5p expression. (A) Expression analysis of tetraspanins CD63, CD9 and CD81 in EVs isolated from HUVEC culture supernatants. Data analysis using Kaluza 2.2 software revealed that CD9 was the most highly expressed tetraspanin in EVs secreted by HUVECs compared with CD63 and CD81. (B) Changes in miR-21-5p expression of EVs from irradiated HUVEC culture supernatants. miR-21-5p expression in EVs from culture supernatants of HUVECs irradiated with 4 Gy and cultured for 10 days was analyzed by RT-qPCR using an exoRNeasy mini kit, and compared with that in non-irradiated controls. qPCR was used and Cel-miR-39 was used as an external control. Expression of EV miR-21-5p was significantly increased in 4 Gy-irradiated HUVECs compared with nonirradiated HUVECs. All experiments were performed with n=4. <sup>&#x002A;&#x002A;</sup>P&#x003C;0.01. EV, extracellular vesicle; miR, microRNA; NC, negative control; RT-qPCR, reverse transcription-quantitative PCR.</p></caption>
<graphic xlink:href="etm-29-02-12772-g04.tif" />
</fig>
<table-wrap id="tI-ETM-29-2-12772" position="float">
<label>Table I</label>
<caption><p>Primer pairs for reverse transcription-quantitative PCR.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Primer name</th>
<th align="center" valign="middle">Sequence (5&#x0027;-3&#x0027;)</th>
<th align="center" valign="middle">Amplicon size, bp</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle"><italic>CDC25A</italic> forward</td>
<td align="left" valign="middle">CTACTGATGGCAAGCGTGTC</td>
<td align="center" valign="middle">88</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>CDC25A</italic> reverse</td>
<td align="left" valign="middle">TCTCTCTCACATACCGGCAC</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>MSH2</italic> forward</td>
<td align="left" valign="middle">CATGTCACAGCACTCACCAC</td>
<td align="center" valign="middle">99</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>MSH2</italic> reverse</td>
<td align="left" valign="middle">GCTCTGCAACATGAATCCCA</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>MTAP</italic> forward</td>
<td align="left" valign="middle">TTCTTGTGCCAGAGGAGTGT</td>
<td align="center" valign="middle">102</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>MTAP</italic> reverse</td>
<td align="left" valign="middle">CACCGGAGTCCTAGCTTCTT</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>MTHFD1</italic> forward</td>
<td align="left" valign="middle">AAAGAGAGGGCGAGCTTCAT</td>
<td align="center" valign="middle">97</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>MTHFD1</italic> reverse</td>
<td align="left" valign="middle">AACGCTTGGCACTCTCTACT</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>ZNF367</italic> forward</td>
<td align="left" valign="middle">CACATCAGCGTCTTCACACC</td>
<td align="center" valign="middle">83</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>ZNF367</italic> reverse</td>
<td align="left" valign="middle">CGGTTTGCATGGGTGAATCT</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>ZNF704</italic> forward</td>
<td align="left" valign="middle">CTCGCTCCATCTGTCTCCTT</td>
<td align="center" valign="middle">116</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>ZNF704</italic> reverse</td>
<td align="left" valign="middle">CATTGCTGCTGTCACCTTGT</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>ACTB</italic> forward</td>
<td align="left" valign="middle">CCAACCGCGAGAAGATGA</td>
<td align="center" valign="middle">97</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>ACTB</italic> reverse</td>
<td align="left" valign="middle">CCAGAGGCGTACAGGGATAG</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>ACTB</italic>, actin &#x03B2;; <italic>CDC25A</italic>, cell division cycle 25A; <italic>MSH2</italic>, mutS homolog 2; <italic>MTAP</italic>, methylthioadenosine phosphorylase; <italic>MTHFD1</italic>, methylenetetrahydrofolate dehydrogenase cyclohydrolase and formyltetrahydrofolate synthetase 1; <italic>ZNF367</italic>, zinc finger protein 367; <italic>ZNF704</italic>, zinc finger protein 704.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
