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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Aging Neurosci.</journal-id>
<journal-title>Frontiers in Aging Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Aging Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1663-4365</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnagi.2022.759159</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neuroscience</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Increased RNA Transcription of Energy Source Transporters in Circulating White Blood Cells of Aged Mice</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Takeuchi</surname> <given-names>Yukiko</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1347191/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Saino</surname> <given-names>Orie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1343947/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Okinaka</surname> <given-names>Yuka</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/911871/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ogawa</surname> <given-names>Yuko</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/693132/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Akamatsu</surname> <given-names>Rie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1383995/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Kikuchi-Taura</surname> <given-names>Akie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kataoka</surname> <given-names>Yosky</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/378246/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Maeda</surname> <given-names>Mitsuyo</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Gul</surname> <given-names>Sheraz</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/462940/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Claussen</surname> <given-names>Carsten</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Boltze</surname> <given-names>Johannes</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/129912/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Taguchi</surname> <given-names>Akihiko</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/689773/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Regenerative Medicine Research, Foundation for Biomedical Research and Innovation at Kobe</institution>, <addr-line>Hyogo</addr-line>, <country>Japan</country></aff>
<aff id="aff2"><sup>2</sup><institution>Multi-Modal Microstructure Analysis Unit, RIKEN-JEOL Collaboration Center, RIKEN</institution>, <addr-line>Hyogo</addr-line>, <country>Japan</country></aff>
<aff id="aff3"><sup>3</sup><institution>Laboratory for Cellular Function Imaging, RIKEN Center for Biosystems Dynamics Research, RIKEN</institution>, <addr-line>Hyogo</addr-line>, <country>Japan</country></aff>
<aff id="aff4"><sup>4</sup><institution>Fraunhofer Institute for Translational Medicine and Pharmacology ITMP</institution>, <addr-line>Hamburg</addr-line>, <country>Germany</country></aff>
<aff id="aff5"><sup>5</sup><institution>Fraunhofer Cluster of Excellence for Immune-Mediated Diseases (CIMD)</institution>, <addr-line>Hamburg</addr-line>, <country>Germany</country></aff>
<aff id="aff6"><sup>6</sup><institution>School of Life Sciences, University of Warwick</institution>, <addr-line>Coventry</addr-line>, <country>United Kingdom</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Stefano Tarantini, University of Oklahoma Health Sciences Center, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Alejandro O. Sodero, CONICET Institute for Biomedical Research (BIOMED), Argentina; Jose Felix Moruno-Manchon, University of Texas Health Science Center at Houston, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Akihiko Taguchi, <email>taguchi@fbri.org</email></corresp>
<fn fn-type="equal" id="fn002"><p><sup>&#x2020;</sup>These authors have contributed equally to this work and share first authorship</p></fn>
<fn fn-type="other" id="fn004"><p>This article was submitted to Neuroinflammation and Neuropathy, a section of the journal Frontiers in Aging Neuroscience</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>02</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>14</volume>
<elocation-id>759159</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>08</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>01</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Takeuchi, Saino, Okinaka, Ogawa, Akamatsu, Kikuchi-Taura, Kataoka, Maeda, Gul, Claussen, Boltze and Taguchi.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Takeuchi, Saino, Okinaka, Ogawa, Akamatsu, Kikuchi-Taura, Kataoka, Maeda, Gul, Claussen, Boltze and Taguchi</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Circulating white blood cells (WBC) contribute toward maintenance of cerebral metabolism and brain function. Recently, we showed that during aging, transcription of metabolism related genes, including energy source transports, in the brain significantly decreased at the hippocampus resulting in impaired neurological functions. In this article, we investigated the changes in RNA transcription of metabolism related genes (glucose transporter 1 [Glut1], Glut3, monocarboxylate transporter 4 [MCT4], hypoxia inducible factor 1-&#x03B1; [Hif1-&#x03B1;], prolyl hydroxylase 3 [PHD3] and pyruvate dehydrogenase kinase 1 [PDK1]) in circulating WBC and correlated these with brain function in mice. Contrary to our expectations, most of these metabolism related genes in circulating WBC significantly increased in aged mice, and correlation between their increased RNA transcription and impaired neurological functions was observed. Bone marrow mononuclear transplantation into aged mice decreased metabolism related genes in WBC with accelerated neurogenesis in the hippocampus. <italic>In vitro</italic> analysis revealed that cell-cell interaction between WBC and endothelial cells via gap junction is impaired with aging, and blockade of the interaction increased their transcription in WBC. Our findings indicate that gross analysis of RNA transcription of metabolism related genes in circulating WBC has the potential to provide significant information relating to impaired cell-cell interaction between WBC and endothelial cells of aged mice. Additionally, this can serve as a tool to evaluate the change of the cell-cell interaction caused by various treatments or diseases.</p>
</abstract>
<kwd-group>
<kwd>aging</kwd>
<kwd>white blood cell</kwd>
<kwd>RNA transcription</kwd>
<kwd>energy source transporter</kwd>
<kwd>metabolism related gene</kwd>
<kwd>neurogenesis</kwd>
<kwd>hippocampus</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="32"/>
<page-count count="10"/>
<word-count count="6512"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Circulating white blood cells (WBC) have been shown to contribute to the maintenance of cerebral circulation, metabolism, development, neurogenesis and brain function (<xref ref-type="bibr" rid="B24">Taguchi et al., 2004a</xref>,<xref ref-type="bibr" rid="B26">2008</xref>; <xref ref-type="bibr" rid="B3">Filiano et al., 2017</xref>; <xref ref-type="bibr" rid="B22">Smith et al., 2018</xref>; <xref ref-type="bibr" rid="B19">Pasciuto et al., 2020</xref>; <xref ref-type="bibr" rid="B21">Runtsch et al., 2020</xref>). Intravenous administration of immature blood cells, such as cord blood derived CD34-positive cells or bone marrow mononuclear cells (BM-MNC), have been shown to improve cerebral circulation and functions after ischemia (<xref ref-type="bibr" rid="B25">Taguchi et al., 2004b</xref>; <xref ref-type="bibr" rid="B14">Nakano-Doi et al., 2010</xref>). However, the direct link between circulating or intravenously injected cells, and cerebral circulation, metabolism, and function has to date been unclear.</p>
<p>Gap junction is an intercellular channel that allows direct diffusion of ions and small molecules, including metabolic substances, between adjacent cells. One gap junction channel is composed of two hemichannels termed connexons, each one being assembled of six proteins called Connexins (<xref ref-type="bibr" rid="B18">Okamoto et al., 2021</xref>). Connexins are a large family of proteins, and Connexin 43 (Cx43) is the most widespread Connexin in the cardiovascular system and is involved both in normal physiological and pathological conditions (<xref ref-type="bibr" rid="B30">Yuan et al., 2015</xref>). In the vascular system, connections between endothelial, pericyte and smooth muscle cells via gap junction, as well as between endothelial cells, allow for signaling to take place to endothelial cells as well as other related components (<xref ref-type="bibr" rid="B15">Nielsen et al., 2012</xref>). Recently, we showed that intravenously injected BM-MNC supplies an energy source, such as glucose, to endothelial cells via gap junction and activates injured endothelial cells by induction of hypoxia inducible factor 1-&#x03B1; (Hif1-&#x03B1;), which is one of the major activators of metabolism related genes (<xref ref-type="bibr" rid="B8">Kim et al., 2006</xref>), in a cerebral ischemia model (<xref ref-type="bibr" rid="B7">Kikuchi-Taura et al., 2020</xref>). Intravenous BM-MNC transplantation in aged mice was shown to increase transcription of glucose transporter 1 (Glut1) at hippocampus followed by improved memory functions through gap junction mediated cell-cell interaction between transplanted BM-MNC and endothelial cells (<xref ref-type="bibr" rid="B27">Takeuchi et al., 2020</xref>). Furthermore, we have shown that intravenously transplanted mesenchymal stem cells remove the energy source from endothelial cells via gap junction, and suppress their excessive activation in a cerebral ischemia model (<xref ref-type="bibr" rid="B6">Kikuchi-Taura et al., 2021</xref>). These findings indicate that circulating cells have a significant effect on the regulation of cerebral circulation, metabolism, and function via gap junction. These findings are consistent with our previous findings that patients with decreased number of circulating hematopoietic stem cells, which express Connexin (<xref ref-type="bibr" rid="B20">Pfenniger et al., 2013</xref>) and contain significant amount of glycolysis substrates due to anaerobic metabolism (<xref ref-type="bibr" rid="B28">Takubo et al., 2013</xref>), showed impaired cerebral circulation and function (<xref ref-type="bibr" rid="B24">Taguchi et al., 2004a</xref>,<xref ref-type="bibr" rid="B26">2008</xref>).</p>
<p>Cerebral metabolism and function generally deteriorate during aging (<xref ref-type="bibr" rid="B2">Cunnane et al., 2020</xref>). It has been shown that metabolites pass through the gap junction (<xref ref-type="bibr" rid="B18">Okamoto et al., 2021</xref>) and expression of gap junctions are increased in early postnatal development of central nerve system and after brain injury (<xref ref-type="bibr" rid="B1">Belousov and Fontes, 2014</xref>). However, the significance of metabolite transfer via gap junction in the brain is not fully elucidated. Taken together, we hypothesize that impaired cerebral metabolism and function observed in aged animals would correlate to the impaired metabolism of circulating WBC. In this article, we had expected decreased expression of metabolism related genes in WBC with impaired brain function during aging, but found their expression increased with aging.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<p>All animal experiments were approved by the Animal Care and Use Committee of Foundation for Biomedical Research and Innovation at Kobe and comply with the Guide for the Care and Use of Animals published by the Japanese Ministry of Education, Culture, Sports, Science and Technology. Experiments and results are reported according to the ARRIVE guidelines.</p>
<sec id="S2.SS1">
<title>Quantitative PCR (qPCR) Analysis of Circulating White Blood Cells, Hippocampus, and Human Umbilical Vein Endothelial Cells</title>
<p>Male CB-17 mice (C.B-17/Icr- + / + Jcl, Oriental Yeast, Tokyo, Japan) aged 5, 10, 52, and 104 weeks were used for this study (<italic>N</italic> = 5, each). Minimal variation of cerebrovascular structure is known in CB-17 mice (<xref ref-type="bibr" rid="B23">Taguchi et al., 2010</xref>) and CB-17 mice were used for the experiment of cerebrovascular disorders (<xref ref-type="bibr" rid="B5">Kasahara et al., 2013</xref>; <xref ref-type="bibr" rid="B27">Takeuchi et al., 2020</xref>). After deep anesthesia by pentobarbital, a blood sample was obtained by the puncture to left ventricle of heart. Total RNA was isolated using RNeasy Plus Universal Mini Kit (Qiagen, CA, United States) according to the manufacturer&#x2019;s instructions. cDNA was synthesized from 1&#x03BC;g total RNA using PrimeScript&#x2122; II 1st strand cDNA Synthesis Kit (TAKARA, Kyoto, Japan). Transcription of mRNA was analyzed using PowerUp&#x2122; SYBR&#x2122; Green Master Mix (Applied Biosystems, CA, United States) and the Agilent AriaMx real time PCR System. 18S ribosomal RNA was used for the reference gene. Relative quantification of RNA was analyzed by phaffle method. For the comparison of RNA transcription of Connexin 43 (Cx43) between young and aged mice, 5 and 80 weeks old Male CB-17 mice were used (<italic>N</italic> = 6, each). The list of target genes, primer sequences, and amplification protocols of qPCR are shown in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Target genes, primer list and amplification protocol of qPCR.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Gene</td>
<td valign="top" align="left" colspan="2">NCBI accession no.</td>
<td/>
<td valign="top" align="center">Sequences</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">18S</td>
<td valign="top" align="center"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NR_003278.3">NR_003278.3</ext-link></td>
<td valign="top" align="center" colspan="2">Forward</td>
<td valign="top" align="center">ACTCAACACGGGAAACCTCACC</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center" colspan="2">Reverse</td>
<td valign="top" align="center">CCAGACAAATCGCTCCACCA</td>
</tr>
<tr>
<td valign="top" align="left">Mouse Glut1</td>
<td valign="top" align="center"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_011400.3">NM_011400.3</ext-link></td>
<td valign="top" align="center" colspan="2">Forward</td>
<td valign="top" align="center">TGGCGGGAGACGCATAGTTA</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center" colspan="2">Reverse</td>
<td valign="top" align="center">CTCCCACAGCCAACATGAGG</td>
</tr>
<tr>
<td valign="top" align="left">Mouse Glut3</td>
<td valign="top" align="center"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_011401.4">NM_011401.4</ext-link></td>
<td valign="top" align="center" colspan="2">Forward</td>
<td valign="top" align="center">GAGGAACACTTGCTGCCGAG</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center" colspan="2">Reverse</td>
<td valign="top" align="center">CTGGAAAGAGCCGATCGTGG</td>
</tr>
<tr>
<td valign="top" align="left">Mouse MCT4</td>
<td valign="top" align="center"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_001038653.1">NM_001038653.1</ext-link></td>
<td valign="top" align="center" colspan="2">Forward</td>
<td valign="top" align="center">GGCTGGCGGTAACAGAGTA</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center" colspan="2">Reverse</td>
<td valign="top" align="center">CGGCCTCGGACCTGAGTATT</td>
</tr>
<tr>
<td valign="top" align="left">Mouse Hif1-&#x03B1;</td>
<td valign="top" align="center"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_001313919.1">NM_001313919.1</ext-link></td>
<td valign="top" align="center" colspan="2">Forward</td>
<td valign="top" align="center">AGCCAGCAAGTCCTTCTGAT</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center" colspan="2">Reverse</td>
<td valign="top" align="center">AGGCTGGGAAAAGTTAGGAGTG</td>
</tr>
<tr>
<td valign="top" align="left">Mouse PHD3</td>
<td valign="top" align="center"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_028133.2">NM_028133.2</ext-link></td>
<td valign="top" align="center" colspan="2">Forward</td>
<td valign="top" align="center">ATCCACATGAAGTCCAGCCC</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center" colspan="2">Reverse</td>
<td valign="top" align="center">ACACCACAGTCAGTCTTTAGCA</td>
</tr>
<tr>
<td valign="top" align="left">Mouse PDK1</td>
<td valign="top" align="center"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_172665.5">NM_172665.5</ext-link></td>
<td valign="top" align="center" colspan="2">Forward</td>
<td valign="top" align="center">TGCAAAGTTGGTATATCCAAAGCC</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center" colspan="2">Reverse</td>
<td valign="top" align="center">TGTGCCGGTTTCTGATCCTT</td>
</tr>
<tr>
<td valign="top" align="left">Mouse Cx37</td>
<td valign="top" align="center"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_008120.3">NM_008120.3</ext-link></td>
<td valign="top" align="center" colspan="2">Forward</td>
<td valign="top" align="center">CAGCTGCGCGCTATTTAAGG</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center" colspan="2">Reverse</td>
<td valign="top" align="center">CCATGTTTCCAGGGCCTCTC</td>
</tr>
<tr>
<td valign="top" align="left">Mouse Cx43</td>
<td valign="top" align="center"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_010288.3">NM_010288.3</ext-link></td>
<td valign="top" align="center" colspan="2">Forward</td>
<td valign="top" align="center">GAGTTCCACCACTTTGGCGT</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center" colspan="2">Reverse</td>
<td valign="top" align="center">GTGGAGTAGGCTTGGACCTT</td>
</tr>
<tr>
<td valign="top" align="left">Human Cx37</td>
<td valign="top" align="center"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_002060.2">NM_002060.2</ext-link></td>
<td valign="top" align="center" colspan="2">Forward</td>
<td valign="top" align="center">CACCATGCCCCACCTACAAT</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center" colspan="2">Reverse</td>
<td valign="top" align="center">TGGGGGTTTTTGGCCATTC</td>
</tr>
<tr>
<td valign="top" align="left">Human Cx43</td>
<td valign="top" align="center"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_000165.4">NM_000165.4</ext-link></td>
<td valign="top" align="center" colspan="2">Forward</td>
<td valign="top" align="center">AGGAGTTCAATCACTTGGCGT</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center" colspan="2">Reverse</td>
<td valign="top" align="center">CCCTCCAGCAGTTGAGTAGG</td>
</tr>
<tr>
<td valign="top" align="center" colspan="5"><hr/></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Segment</bold></td>
<td valign="top" align="center"><bold>Plateau</bold></td>
<td valign="top" align="center"><bold>Temperature (&#x00B0;C)</bold></td>
<td valign="top" align="center"><bold>Duration time (seconds)</bold></td>
<td valign="top" align="center"><bold>Cycle (times)</bold></td>
</tr>
<tr>
<td valign="top" align="center" colspan="5"><hr/></td>
</tr>
<tr>
<td valign="top" align="left">Hot Start</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">180</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Hot Start 2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">95</td>
<td valign="top" align="center">180</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Amplification</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">95</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">40</td>
</tr>
<tr>
<td valign="top" align="left">Amplification</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">40</td>
</tr>
<tr>
<td valign="top" align="left">Melt</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">95</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Melt</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">65</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Melt</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">95</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">1</td>
</tr>
</tbody>
</table></table-wrap>
<p>Brain tissue was harvested from young (5W) and aged (more than 80 weeks) mice (<italic>N</italic> = 7, each). After harvesting the brain, coronal sections (4 mm thick) of the forebrain between 2 mm and 6 mm from frontal pole were cut followed by immersion in RNAlater (Thermo Fisher, Waltham, MA, United States) to prevent RNA degradation. Under stereoscopic microscope (Olympus, Tokyo, Japan), the part of the hippocampus, was dissected by medical tweezers, as we described previously (<xref ref-type="bibr" rid="B27">Takeuchi et al., 2020</xref>). Total RNA was isolated and cDNA was synthesized from 1 &#x03BC;g total RNA. The list of target genes, primer sequences, and amplification protocols are shown in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<p>Human umbilical vein endothelial cells (HUVEC, Kurabo, Osaka, Japan) were cultured with medium, serum and growth factors (HuMedia-EB2, Kurabo). Total RNA of HUVEC (1 &#x00D7; 10<sup>5</sup> cells) at passage 3 and 10 were was isolated and expression of Cx43 and Connexin 37 (Cx37) were evaluated by qPCR (<italic>N</italic> = 4). The list of target genes, primer sequences, and amplification protocols of qPCR are shown in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
</sec>
<sec id="S2.SS2">
<title>Transfer of Low Molecular Weight Fluorescence Molecules in Cytoplasm of White Blood Cells to Endothelial Cells <italic>in vitro</italic></title>
<p>Male CB-17 mice aged 5 and 80 weeks old were used for this study (<italic>N</italic> = 5, each). Blood sample was obtained by a puncture to the left ventricle of the heart and red blood cells were removed using lysing buffer (BD Biosciences, Woburn, MA, United States) (<xref ref-type="bibr" rid="B12">Muirhead et al., 1986</xref>). WBC were incubated with 5 &#x03BC;M of BCECF-AM (2&#x2032;,7&#x2032;-bis-(2-carboxyethyl)-5-(and-6)-carboxyfluorescein, acetoxymethyl ester, Dojindo, Kumamoto Japan) for 30 min at 37&#x00B0;C as we described previously (<xref ref-type="bibr" rid="B7">Kikuchi-Taura et al., 2020</xref>). BCECF-AM was converted to BCECF (2&#x2032;,7&#x2032;-bis-(2-carboxyethyl)-5-(6)-carboxyfluorescein) in the cytoplasm and BCECF loaded WBC were washed twice with PBS before use. HUVEC in passage 6 were used in the subsequent experimental work. BCECF loaded WBC (1 &#x00D7; 10<sup>6</sup> cells in 20 &#x03BC;l PBS) and HUVEC (1 &#x00D7; 10<sup>5</sup> cells in 100 &#x03BC;l PBS) were co-cultured at 37&#x00B0;C for 3 h. After co-incubation, the cell mixture was washed twice with PBS, and stained with PE-conjugated anti-human CD31 antibody (BD Biosciences, Woburn, MA, United States), FITC-conjugated anti-mouse CD45 antibody (BD Biosciences, Woburn, MA, United States) and 7-AAD (7-Amino-Actinomycin D) (BD Biosciences, Woburn, MA, United States). The level of BCECF in HUVEC (CD31-positive, CD45-negative and 7AAD-negative) was evaluated using a FACS Calibur fluorescence activated cell sorter (BD Biosciences, Woburn, MA, United States). Cell populations that communicate with HUVEC via gap junction were characterized using FACS as described previously (<xref ref-type="bibr" rid="B6">Kikuchi-Taura et al., 2021</xref>).</p>
</sec>
<sec id="S2.SS3">
<title>Effect of Gap-Junction Mediated Cell-Cell Interaction on Gene Expression of White Blood Cells by Co-culture With Endothelial Cells</title>
<p>HUVEC were treated with gap junction blocker (0.01 v/v 1-octanol. Wako, Osaka, Japan) or PBS for 10 min at 37&#x00B0;C. A blood sample was obtained by a puncture to the left ventricle of the heart of male CB-17 mice (5 weeks old) and co-cultured at 37&#x00B0;C for 3 h with HUVEC that were treated or non-treated by gap junction blocker. The change of RNA transcription was evaluated by qPCR with mouse specific primers.</p>
</sec>
<sec id="S2.SS4">
<title>BM-MNC Transplantation to Aged Mice</title>
<p>Bone marrow was obtained from 5-week-old syngeneic male CB-17 mice and BM-MNC were prepared by Ficoll-Paque (GE-Healthcare, Little Chalfont, United Kingdom) density-gradient centrifugation as described elsewhere (<xref ref-type="bibr" rid="B7">Kikuchi-Taura et al., 2020</xref>). Aged (more than 80 weeks) mice received 1 &#x00D7; 10<sup>5</sup> BM-MNC in 100 &#x03BC;l PBS or PBS alone through the tail vein (5 times in total), and young (5 weeks) mice received PBS (<italic>N</italic> = 5, each). Each injection was performed without anesthesia and injection was finished in 10 s. Mouse behavior was evaluated using wire hang test and passive avoidance test before blood sample collection. The experimental design is shown in <xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 1A</xref>. The Passive avoidance test is a fear-aggravated test used to evaluate learning and memory in rodent models. The apparatus (TMS-2; Melquest, Toyama, Japan) was divided into two compartments, an illuminated compartment (120 mm &#x00D7; 120 mm &#x00D7; 135 mm) and a dark compartment (120 mm &#x00D7; 120 mm &#x00D7; 135 mm), that were connected via a guillotine door. The dark compartment was equipped with a grid floor (6 mm in diameter spaced at 10 mm) through which a footshock (0.2 mA, 3 s) could be delivered. In the conditioning and acquisition phases, each mouse was placed in an illuminated compartment and habituated for 10 s before door opening. In the conditioning phase, a mild electric foot shock was administered 10 s after each mouse crossed the adjacent dark compartment and door closing. On the next day, each mouse was again placed in the illuminated compartment and habituated for 10 s, and the time to cross over to the dark compartment after door opening, up to a maximum of 180 s, was recorded as the test phase (<xref ref-type="bibr" rid="B16">Ogawa et al., 2020</xref>). The wire hang test evaluates muscular strength or motor function. In this test, each mouse was placed on the center of wire mesh plate (450 mm &#x00D7; 300 mm; mesh wire was 1.3 mm in diameter and spaced at 12 mm intervals, KK23-8331; Kohnan, Osaka, Japan) and allowed to accommodate to this environment for 5 s. The wire mesh plate was inverted and secured to the top of a cubic transparent open-topped glass box (250 mm &#x00D7; 250 mm &#x00D7; 250 mm). Latency to fall was recorded, up to a maximum of 180 s. This trial was repeated five times with an interval of 1 min and the average time to fall was calculated (<xref ref-type="bibr" rid="B16">Ogawa et al., 2020</xref>).</p>
<p>For immune historical analysis, aged mice (more than 80 weeks) received 1 &#x00D7; 10<sup>5</sup> BM-MNC in 100 &#x03BC;l PBS or PBS alone intravenously totally five times every 2 days from tail vein, and young (5 weeks) mice received PBS (<italic>N</italic> = 6,7,8, for aged + PBS, aged + BM-MNC and young + PBS, respectively). Twenty-four hours after the last injection, the brain was removed, fixed with 2% paraformaldehyde (PFA; Thermo Fisher, Waltham, MA, United States), and cut into coronal sections (20 &#x03BC;m) using a vibratome (Leica, Wetzlar, Germany). Sections were immunostained with primary antibodies against Nestin (Merck Millipore,1:200), Doublecortin (DCX; Merck Millipore, 1:350) and DAPI (Thermo Fisher, 1:1,000). Confocal images were obtained with fluorescence microscope (BZ-X810: Keyence, Osaka Japan). The number of Nestin positive fibers and DCX positive cells at the granular cell layer and sub granular zone of dentate gyrus, respectively, in the hippocampus of aged mice were counted by blinded investigator. The number of positive cells per 1 mm of each zone was evaluated.</p>
</sec>
<sec id="S2.SS5">
<title>Increased Expression of Gap-Junction in HUVEC by Co-culture With BM-MNC</title>
<p>HUVEC (1 &#x00D7; 10<sup>5</sup> cells in 100 &#x03BC;l PBS) and BM-MNC (1 &#x00D7; 10<sup>6</sup> cells in 20 &#x03BC;l PBS) were co-cultured at 37&#x00B0;C for 3 h, and the change in expression of Cx43 in HUVEC was evaluated with PE-conjugated anti-human CD31 antibody, FITC-conjugated anti-human Cx43 antibody (Santa Cruz Biotechnology, Santa Cruz, CA, United States) and 7-AAD (7-Amino-Actinomycin D) by FACS Calibur fluorescent cell sorter.</p>
</sec>
<sec id="S2.SS6">
<title>Statistics</title>
<p>Statistical comparisons among groups were performed using one-way ANOVA (analysis of variance) followed by <italic>post hoc</italic> analysis using Steel-Dwass test or Dunnett&#x2019;s test. Correlation between RNA transcription of metabolism related genes in circulating WBC and neurological functions was evaluated with linear regression analysis. Individual comparisons were performed using Student&#x2019;s <italic>t</italic>-test. All data are shown as mean &#x00B1; SD.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Change in RNA Transcription of Metabolism-Related Genes in Circulating Whites Blood Cells With Aging</title>
<p>We previously observed that transcription of metabolism related genes, including energy source transport genes, in the brain are significantly decreased with aging with impaired neurological functions. We expected similar changes in WBC and investigated the sequential change in RNA transcription of these genes in circulating WBC. Contrary to our expectation, the energy source transport genes, including Glut1, Glut3, and monocarboxylate transporter 4 (MCT4), in WBC significantly increased with aging (<xref ref-type="fig" rid="F1">Figure 1A</xref>). Hif1-&#x03B1; is one of the major transcriptional factors that regulates the expression of energy source transporters (<xref ref-type="bibr" rid="B10">Masoud and Li, 2015</xref>; <xref ref-type="bibr" rid="B32">Zorzano et al., 2005</xref>) and has been shown to decrease with aging in the brain (<xref ref-type="bibr" rid="B27">Takeuchi et al., 2020</xref>). The transcription of Hif1-&#x03B1; and its down-stream genes, prolyl hydroxylase 3 (PHD3) and pyruvate dehydrogenase kinase 1 (PDK1), in circulating WBC were investigated and it was found that transcription of PHD3 and PDK1 increased with aging (<xref ref-type="fig" rid="F1">Figure 1B</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Change in RNA transcription in circulating WBC with aging. <bold>(A)</bold> Significant increase of RNA transcription of energy source transport genes, including Glut1, Glut3 and MCT4, in WBC was observed with aging. <bold>(B)</bold> Similarly, RNA transcriptions of Hif1-&#x03B1; down-stream genes, PHD3 and PDK1, in WBC significantly increased with aging. &#x002A;<italic>p</italic> &#x003C; 0.05, <sup>&#x002A;&#x002A;</sup><italic>p</italic> &#x003C; 0.01, <sup>&#x002A;&#x002A;&#x002A;</sup><italic>p</italic> &#x003C; 0.001 by ANOVA followed by <italic>post-hoc</italic> analysis using Dunnett test (versus 5W). <italic>N</italic> = 5 in 10W, 104W and <italic>N</italic> = 6 in 5W, 52W <bold>(A,B)</bold>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-14-759159-g001.tif"/>
</fig>
</sec>
<sec id="S3.SS2">
<title>Cell-Cell Interaction Between WBC and Endothelial Cells via Gap Junction</title>
<p>We have shown low molecular weight molecules are transferred from BM-MNC to endothelial cells via gap junction mediated direct cell-cell interaction (<xref ref-type="bibr" rid="B7">Kikuchi-Taura et al., 2020</xref>; <xref ref-type="bibr" rid="B27">Takeuchi et al., 2020</xref>). To investigate gap junction mediated cell-cell interaction between WBC and endothelial cells, low molecular weight fluorescence compound, namely BCECF, was loaded to WBC and co-cultured with HUVEC. Similar to BM-MNC, transfer of BCECF from WBC to HUVEC was observed and the level of BCECF transfer significantly decreased in WBC of aged mice, relative to that of young mice (<xref ref-type="fig" rid="F2">Figure 2A</xref>). The change of RNA transcriptions with aging was evaluated and found the level of Cx43 in WBC was significantly decreased in aged mice, compared with young mice (<xref ref-type="fig" rid="F2">Figure 2B</xref>). To confirm the significance of gap junction mediated cell-cell interaction on RNA transcription in WBC, WBC were co-cultured with HUVEC with or without blockade of gap junction. A significant increase of RNA transcription of Hif1-&#x03B1; and PDK1 was observed following blockade of gap junction (<xref ref-type="fig" rid="F2">Figure 2C</xref>). These findings show the importance of gap junction mediated cell-cell interaction in the decrease of metabolism related gene expression in WBC, mainly monocytes and lymphocytes. The change in RNA transcription with passage number was evaluated in HUVEC and it was found that the level of Cx43 significantly decreased during passaging (<xref ref-type="fig" rid="F2">Figure 2D</xref>). The change in RNA transcription with aging at hippocampus was evaluated and it was found that the level of Cx43 significantly decreased in aged mice, compared with young mice (<xref ref-type="fig" rid="F2">Figure 2E</xref>). The change of RNA transcription of Cx37 was evaluated and found its expression decreased in HUVEC during passaging (<xref ref-type="fig" rid="F2">Figure 2F</xref>) and in hippocampus with aging (<xref ref-type="fig" rid="F2">Figure 2G</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Decreased cell-cell interaction between endothelial cells and WBC of aged mice. <bold>(A)</bold> Transfer of low molecular weight molecule (BCECF) from WBC to HUVEC significantly decreased at WBC of aged mice, compared with young mice. Control indicates background fluorescence level HUVEC without co-incubation of WBC. <bold>(B)</bold> The RNA transcription of Cx43 in WBC was significantly decreased with aging. <bold>(C)</bold> Blockade of cell-cell interaction between WBC and HUVEC via gap junction increased the expression of Hif1-&#x03B1; and PDK1 in WBC. <bold>(D)</bold> The RNA transcription of Cx43 in HUVEC was significantly decreased with passaging. <bold>(E)</bold> The RNA transcription of Cx43 at hippocampus was significantly decreased with aging. <bold>(F)</bold> The RNA transcription of Cx37 in HUVEC was significantly decreased with passaging. <bold>(G)</bold> The RNA transcription of Cx37 at hippocampus was significantly decreased with aging. &#x002A;<italic>p</italic> &#x003C; 0.05 versus 5W (<italic>N</italic> = 5 in group <bold>A</bold>), <sup>&#x002A;&#x002A;</sup><italic>p</italic> &#x003C; 0.01 versus 5W (<italic>N</italic> = 6 in group <bold>B</bold>) by Student&#x2019;s <italic>t</italic>-test. &#x002A;<italic>p</italic> &#x003C; 0.05 versus 1-Octanol (&#x2013;) (<italic>N</italic> = 4 in group <bold>C</bold>). <sup>&#x002A;&#x002A;</sup><italic>p</italic> &#x003C; 0.01, <sup>&#x002A;&#x002A;&#x002A;</sup><italic>p</italic> &#x003C; 0.001 versus passage 3 (<italic>N</italic> = 4 in group <bold>D, F</bold>) by Student&#x2019;s <italic>t</italic>-test. <sup>&#x002A;&#x002A;</sup> <italic>p</italic> &#x003C;0.01, <sup>&#x002A;&#x002A;&#x002A;</sup><italic>p</italic> &#x003C; 0.001 versus 5W (<italic>N</italic> = 7 in group <bold>E, G</bold>) by Student&#x2019;s <italic>t</italic>-test.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-14-759159-g002.tif"/>
</fig>
</sec>
<sec id="S3.SS3">
<title>Correlation in RNA Transcription of Metabolism Related Genes in Circulating White Blood Cells and Neurological Function in Aging Mice</title>
<p>Next, we evaluated the correlation between RNA transcription of metabolism related genes in circulating WBC and neurological function in mice, including aged mice that received BM-MNC transplantation. <xref ref-type="fig" rid="F3">Figures 3A-F</xref> shows the correlation between increased RNA transcription of metabolism related genes and shortening of step through latency in passive avoidance test. A strong and significant correlation (| r| &#x003E; 0.7 and <italic>p</italic> &#x003C; 0.05) was observed for Glut1, MCT4, PHD3, and PDK1. <xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 2</xref> shows the correlation between increased RNA transcription of metabolism related genes and shortening of latency to fall in wire hang test. A strong and significant correlation (| r| &#x003E; 0.7 and <italic>p</italic> &#x003C; 0.05) was observed for MCT4, PHD3, and PDK1. <xref ref-type="supplementary-material" rid="DS1">Supplementary Figures 3</xref>, <xref ref-type="supplementary-material" rid="DS1">4</xref> show the correlation in aged mice, including those that received PBS or BM-MNC but not young mice, in the passive avoidance test (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 3</xref>) and in the wire hang test (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 4</xref>). A strong and significant correlation was observed for RNA transcription of MCT4 and PHD3. It should be noted that, a statistically significant reduction of the latency in passive avoidance test and wire hang test in aged mice with PBS, compared with young mice, was reported in our previous report. In contrast, BM-MNC injection to aged mice improved the scores of both tests and there had been no significant difference in the latencies between in aged mice with BM-MNC and young mice, though no statistically significant difference had been observed between in the scores of aged mice that received PBS or BM-MNC (<xref ref-type="bibr" rid="B27">Takeuchi et al., 2020</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Correlation between the score of passive avoidance test and RNA transcription of metabolism related genes in circulating WBC. <bold>(A-F)</bold> Correlation between increased in RNA transcription of Glut1 <bold>(A)</bold>, Glut3 <bold>(B)</bold>, MCT4 <bold>(C)</bold>, Hif1-&#x03B1; <bold>(D)</bold>, PHD3 <bold>(E)</bold> and PDK1 <bold>(F)</bold> and shorting of step through latency in passive avoidance test. Black, red or yellow dots indicate young mice, aged mice with PBS injection or aged mice with BM-MNC transplantation, respectively. Blue solid or dashed line indicate statistically highly (<italic>p</italic> &#x003C; 0.05 and | r| &#x003E; 0.7) or moderately (<italic>p</italic> &#x003C; 0.05 and | r| &#x003E; 0.4) correlating, respectively, by linear regression analysis (<italic>N</italic> = 15).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-14-759159-g003.tif"/>
</fig>
<p>Mice that received BM-MNC transplantation showed decreased RNA expression of Glut3, MCT4, PHD3, and PDK1 in circulating WBC (<xref ref-type="fig" rid="F4">Figures 4A,B</xref>). To investigate the possible cause of decreased level of these genes by BM-MNC transplantation, endothelial cells were co-cultured with BM-MNC. We observed increased expression of Cx43 in HUVEC when co-cultured with BM-MNC (<xref ref-type="fig" rid="F4">Figure 4C</xref>). These findings indicated that BM-MNC transplantation has a potential to improve cell-cell interaction between circulating WBC and endothelial cells through enhancing expression of Connexin on endothelial cells.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>BM-MNC transplantation decreased RNA expression of metabolism related genes in WBC. <bold>(A,B)</bold> BM-MNC transplantation to aged mice decreased the expression of Glut3, MCT4 <bold>(A)</bold>, PHD3 and PDK1 <bold>(B)</bold> in circulating WBC. <bold>(C)</bold> Co-culture with BM-MNC significantly increased the expression of Cx43 in endothelial cells. &#x002A;<italic>p</italic> &#x003C; 0.05 and <sup>&#x002A;&#x002A;</sup><italic>p</italic> &#x003C; 0.01 vs. 80W + PBS by ANOVA followed by <italic>post hoc</italic> analysis using Dunnett&#x2019;s test (control, 80W + PBS; <italic>p</italic> values between aged mice were displayed in the figure). <italic>N</italic> = 5 in each group <bold>(A,B)</bold>. <sup>&#x002A;&#x002A;&#x002A;</sup><italic>p</italic> &#x003C; 0.001 by Student&#x2019;s <italic>t</italic>-test. <italic>N</italic> = 6 in each group <bold>(C)</bold>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-14-759159-g004.tif"/>
</fig>
<p>To further investigate the link between BM-MNC transplantation and increased memory function, the level of neurogenesis at hippocampus was evaluated using anti-Nestin and anti-DCX antibody, and it was found that the level of neurogenesis significantly increases with BM-MNC transplantation in aged mice (<xref ref-type="fig" rid="F5">Figures 5A-D</xref>). These findings are consistent with our previous report that BM-MNC transplantation ameliorates memory disorder in aged mice (<xref ref-type="bibr" rid="B27">Takeuchi et al., 2020</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>BM-MNC transplantation activates age-related impaired neurogenesis at hippocampus. <bold>(A)</bold> A large number of Nestin-positive (arrow) and/or DCX-positive (allow head) neuronal progenitor cells were observed at dentate gyrus in young mice. <bold>(B)</bold> In contrast, only few Nestin-positive and/or DCX-positive neuronal progenitor cells were observed in aged mice that receive PBS or BM-MNC. <bold>(C,D)</bold> Quantitative analysis revealed that BM-MNC transplantation to aged mice increased the number of Nestin-positive <bold>(C)</bold> and DCX-positive neuronal progenitor cells <bold>(D)</bold>. <italic>N</italic> = 6 and 7 in PBS and BM-MNC transplanted group, respectively <bold>(C,D)</bold>. &#x002A;<italic>p</italic> &#x003C; 0.05 by Student&#x2019;s <italic>t</italic>-test. Scale bar: 100 &#x03BC;m <bold>(A,B)</bold>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-14-759159-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>In this article, we have demonstrated that RNA transcription of metabolism related genes in circulating WBC, including Glut1, Glut3, MCT4, PHD3, and PDK1, are significantly increased during aging. Our results indicated that this is, at least in part, due to the decrease of cell-cell interactions to endothelial cells. Our findings indicate that the level of RNA transcription of metabolism related genes in circulating WBC can be potentially utilized as markers for decreased cell-cell interaction between circulating WBC and endothelial cells during aging.</p>
<p>Importantly, circulating WBC are known to contribute to the development and maintenance of brain function (<xref ref-type="bibr" rid="B24">Taguchi et al., 2004a</xref>,<xref ref-type="bibr" rid="B26">2008</xref>; <xref ref-type="bibr" rid="B3">Filiano et al., 2017</xref>; <xref ref-type="bibr" rid="B22">Smith et al., 2018</xref>; <xref ref-type="bibr" rid="B19">Pasciuto et al., 2020</xref>; <xref ref-type="bibr" rid="B21">Runtsch et al., 2020</xref>). Recently, we demonstrated that direct cell-cell interaction between intravenously transplanted BM-MNC and endothelial cell via gap junction activates Hif1-&#x03B1; at endothelial cells followed by improvement of brain function (<xref ref-type="bibr" rid="B7">Kikuchi-Taura et al., 2020</xref>). In this article, we demonstrate that cell-cell interaction between circulating WBC and endothelial cell decreases with aging with impaired neurological function. As endothelial, pericyte, and smooth muscle cells are connected via gap junction in cerebral vasculature (<xref ref-type="bibr" rid="B31">Zhao et al., 2018</xref>), it would not be so surprising that metabolites and/or signals transfer between circulating cells and cerebral endothelial cells have a significant impact on cerebral circulation and function. Recently, we have demonstrated that intravenously transplanted mesenchymal stem cells remove energy source from endothelial cells via gap junction, and suppress excessed activation of endothelial cells in cerebral ischemia model (<xref ref-type="bibr" rid="B6">Kikuchi-Taura et al., 2021</xref>). Although further studies are required to fully elucidate the flow of metabolites and signals via gap junction with brain responses, our findings provide a novel paradigm linking cells in systemic circulation, endothelial cells and cerebral function (<xref ref-type="fig" rid="F6">Figure 6</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption><p>Schematic illustration of our hypothesis. <bold>(A)</bold> Gap junction mediated cell-cell interaction between circulating WBC and endothelial cells decrease RNA transcription of metabolic related genes in WBC with maintenance of endothelial cell function. <bold>(B)</bold> Impaired gap junction mediated cell-cell interaction results in no decreased RNA transcription of metabolic related genes in WBC with impaired maintenance of endothelial cell function.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-14-759159-g006.tif"/>
</fig>
<p>Hif1-&#x03B1; is one of the major transcriptional factors that regulates the expression of energy source transporters (<xref ref-type="bibr" rid="B32">Zorzano et al., 2005</xref>; <xref ref-type="bibr" rid="B10">Masoud and Li, 2015</xref>) and PHD3 and PDK1 are known to be down-stream genes of Hif1-&#x03B1;(<xref ref-type="bibr" rid="B17">Ognibene et al., 2017</xref>; <xref ref-type="bibr" rid="B27">Takeuchi et al., 2020</xref>). As the activity of HIF1&#x03B1; protein can be regulated by its disassembly by HIF-prolyl hydroxylase in an oxidant dependent manner (<xref ref-type="bibr" rid="B4">Hill et al., 1992</xref>), our results shown in <xref ref-type="fig" rid="F1">Figures 1B</xref>, <xref ref-type="fig" rid="F4">4B</xref>, show there was a discrepancy between Hif1-&#x03B1; and PHD3 expression, which would be explained by the change of degradation rate rather than RNA transcription. Our previous results showed movement of small molecules, including glucose, from intravenously transplanted BM-MNC activates Hif1-&#x03B1; in recipient endothelial cells via gap junction mediated cell-cell interaction (<xref ref-type="bibr" rid="B7">Kikuchi-Taura et al., 2020</xref>). In this article, we show that movement of small molecules to endothelial cells via gap junction inactivates Hif1-&#x03B1; in donor WBC. These findings show that small molecule movement mediated Hif1-&#x03B1; regulation is the key mechanism for changes of metabolism related gene expression at circulating WBC and endothelial cells.</p>
<p>In this article, we have demonstrated that BM-MNC transplantation into aged mice enhanced neurogenesis in hippocampus and decreased metabolic related genes in WBC. These findings are consistent with our previous report that BM-MNC transplantation to aged mice increases Glut1 and Na<sup>+</sup>/K<sup>+</sup> ATPase expression in the hippocampus and ameliorates memory disorder (<xref ref-type="bibr" rid="B27">Takeuchi et al., 2020</xref>). New neurons in the hippocampus are known to have a pivotal role in improving memory (<xref ref-type="bibr" rid="B11">Moreno-Jimenez et al., 2019</xref>; <xref ref-type="bibr" rid="B29">Tobin et al., 2019</xref>) and our findings will have a significant impact that links cell therapy, improved neurogenesis, and improvement of memory. Once the mechanism of metabolite transfer via gap junction and activation of Hif1-&#x03B1; in brain is understood, this offers the potential to improve and develop novel therapies for dementia in the elderly whose main symptom is the disability of memory.</p>
<p><italic>In vitro</italic> analysis revealed that BM-MNC enhanced the expression of Cx43 in endothelial cells. The turnover of Connexin molecules is only a few hours (<xref ref-type="bibr" rid="B13">Musil et al., 2000</xref>) that would require a significant amount of energy source. Although the reason of the fast turnover of Connexin and the regulator of Connexin transcription are unclear (<xref ref-type="bibr" rid="B9">Laird, 2006</xref>; <xref ref-type="bibr" rid="B15">Nielsen et al., 2012</xref>), it would not be surprising that gap junction mediated activation of Hif1-&#x03B1; increases energy source uptake and that upregulates the expression of Connexin. The enhanced expression of Cx43 in endothelial cells by BM-MNC transplantation would explain our result that aged mice that received BM-MNC transplantation showed decreased expression of metabolism related genes in circulating WBC. Our findings also show the potential that quantification of these metabolism related genes in WBC can serve as a tool to evaluate the change of the cell-cell interaction between WBC and endothelial cells caused by treatments that may affect the cell-cell interaction.</p>
<p>Limitations of our study include deciphering the mechanism of cell-cell interaction between WBC and endothelial cells which regulate Hif1-&#x03B1; gene expression in WBC and the differences in gene expression profiles between cell types, such as granulocytes, lymphocytes, and monocytes. Previous findings have shown that the lymphocytes and monocytes express Connexins, although no expression was observed in granulocytes under physiological conditions (<xref ref-type="bibr" rid="B20">Pfenniger et al., 2013</xref>). Although further mechanistic studies are required in order to determine the change of gene expression in each cell type, our findings demonstrate that the simple gross analysis of circulating WBC provides a marker for decreased cell-cell interaction between circulating WBC and endothelial cells with aging in mice. This parameter in mice does not require cell separation or cell specific group analysis and therefore is beneficial for screening individuals to assess the cell-cell interaction between circulating WBC and endothelial cells in mice. This information would also provide novel insights into pathology of various cardiovascular diseases. Another limitation is that we have used one strain of mice. To generalize the results obtained in this experiment, further studies using other strains and animal are required, especially for the assessment of human WBC with aging.</p>
<p>In conclusion, our novel findings show the potential that the simple gross analysis of RNA transcription of metabolism related genes in circulating WBC can provide a highly relevant insight into impaired cell-cell interaction between WBC and endothelial cells. This can also serve as a tool to evaluate the change of the cell-cell interaction caused by various treatments, diseases, and aging.</p>
</sec>
<sec id="S5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="DS1">Supplementary Material</xref>, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="S6">
<title>Ethics Statement</title>
<p>The animal study was reviewed and approved by Animal Care and Use Committee of Foundation for Biomedical Research and Innovation at Kobe.</p>
</sec>
<sec id="S7">
<title>Author Contributions</title>
<p>YT, YOk, and AK-T performed the experiments and analyzed data. AT and OS prepared this manuscript the final figures and tables. YOg, RA, YK, MM, SG, CC, and JB supervised the project and revised the manuscript critically for important intellectual content. AT planned and designed the study. All authors gave their approval to the manuscripts.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="pudiscl1" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="S8" sec-type="funding-information">
<title>Funding</title>
<p>This research was supported by the Japan Agency for Medical Research and Development (AMED) under Grant Number 20bm0404069.</p>
</sec>
<sec id="S9" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fnagi.2022.759159/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fnagi.2022.759159/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="DS1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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<glossary>
<title>Abbreviations</title>
<def-list id="DL1">
<def-item><term>WBC</term><def><p>white blood cells</p></def></def-item>
<def-item><term>BM-MNC</term><def><p>bone marrow mononuclear cells</p></def></def-item>
<def-item><term>Hif1-&#x03B1;</term><def><p>hypoxia inducible factor 1-&#x03B1;</p></def></def-item>
<def-item><term>Glut1</term><def><p>glucose transporter 1</p></def></def-item>
<def-item><term>Glut3</term><def><p>glucose transporter 3</p></def></def-item>
<def-item><term>MCT4</term><def><p>monocarboxylate transporter 4</p></def></def-item>
<def-item><term>PHD3</term><def><p>prolyl hydroxylase 3</p></def></def-item>
<def-item><term>PDK1</term><def><p>pyruvate dehydrogenase kinase 1</p></def></def-item>
<def-item><term>qPCR</term><def><p>Quantitative PCR</p></def></def-item>
<def-item><term>Cx43</term><def><p>Connexin 43</p></def></def-item>
<def-item><term>Cx37</term><def><p>Connexin 37</p></def></def-item>
<def-item><term>BCECF</term><def><p>2&#x2032;,7&#x2032;-bis-(2-carboxyethyl)-5-(6)-carboxyfluorescein</p></def></def-item>
<def-item><term>DCX</term><def><p>Doublecortin</p></def></def-item>
<def-item><term>HUVEC</term><def><p>Human umbilical vein endothelial cells</p></def></def-item>
<def-item><term>ANOVA</term><def><p>analysis of variance.</p></def></def-item>
</def-list>
</glossary>
</back>
</article>