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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell Dev. Biol.</journal-id>
<journal-title>Frontiers in Cell and Developmental Biology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell Dev. Biol.</abbrev-journal-title>
<issn pub-type="epub">2296-634X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcell.2016.00082</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cell and Developmental Biology</subject>
<subj-group>
<subject>Mini Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Diacylglycerol Kinases as Emerging Potential Drug Targets for a Variety of Diseases: An Update</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Sakane</surname> <given-names>Fumio</given-names></name>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/316093/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Mizuno</surname> <given-names>Satoru</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/367484/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Komenoi</surname> <given-names>Suguru</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/367256/overview"/>
</contrib>
</contrib-group>
<aff><institution>Department of Chemistry, Graduate School of Science, Chiba University</institution> <country>Chiba, Japan</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Bin Ren, Medical College of Wisconsin, USA</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Francisco I&#x000F1;esta-Vaquera, University of Dundee, UK; Tomas Obsil, Charles University, Czech Republic</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Fumio Sakane <email>sakane&#x00040;faculty.chiba-u.jp</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Signaling, a section of the journal Frontiers in Cell and Developmental Biology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>08</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<year>2016</year>
</pub-date>
<volume>4</volume>
<elocation-id>82</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>07</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>07</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2016 Sakane, Mizuno and Komenoi.</copyright-statement>
<copyright-year>2016</copyright-year>
<copyright-holder>Sakane, Mizuno and Komenoi</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) or licensor 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>Ten mammalian diacylglycerol kinase (DGK) isozymes (&#x003B1;&#x02013;&#x003BA;) have been identified to date. Our previous review noted that several DGK isozymes can serve as potential drug targets for cancer, epilepsy, autoimmunity, cardiac hypertrophy, hypertension and type II diabetes (Sakane et al., <xref ref-type="bibr" rid="B47">2008</xref>). Since then, recent genome-wide association studies have implied several new possible relationships between DGK isozymes and diseases. For example, DGK&#x003B8; and DGK&#x003BA; have been suggested to be associated with susceptibility to Parkinson&#x00027;s disease and hypospadias, respectively. In addition, the DGK&#x003B7; gene has been repeatedly identified as a bipolar disorder (BPD) susceptibility gene. Intriguingly, we found that DGK&#x003B7;-knockout mice showed lithium (BPD remedy)-sensitive mania-like behaviors, suggesting that DGK&#x003B7; is one of key enzymes of the etiology of BPD. Because DGKs are potential drug targets for a wide variety of diseases, the development of DGK isozyme-specific inhibitors/activators has been eagerly awaited. Recently, we have identified DGK&#x003B1;-selective inhibitors. Because DGK&#x003B1; has both pro-tumoral and anti-immunogenic properties, the DGK&#x003B1;-selective inhibitors would simultaneously have anti-tumoral and pro-immunogenic (anti-tumor immunogenic) effects. Although the ten DGK isozymes are highly similar to each other, our current results have encouraged us to identify and develop specific inhibitors/activators against every DGK isozyme that can be effective regulators and drugs against a wide variety of physiological events and diseases.</p></abstract>
<kwd-group><kwd>diacylglycerol kinase</kwd>
<kwd>bipolar disorder</kwd>
<kwd>hypospadias</kwd>
<kwd>Parkinson&#x00027;s disease</kwd>
<kwd>inhibitor</kwd>
<kwd>cancer</kwd>
<kwd>anti-tumor immunity</kwd></kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="70"/>
<page-count count="8"/>
<word-count count="6235"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Mammalian diacylglycerol kinase (DGK) represents a large enzyme family (Goto et al., <xref ref-type="bibr" rid="B13">2006</xref>; Sakane et al., <xref ref-type="bibr" rid="B46">2007</xref>; M&#x000E9;rida et al., <xref ref-type="bibr" rid="B30">2008</xref>; Topham and Epand, <xref ref-type="bibr" rid="B61">2009</xref>). To date, ten mammalian DGK isozymes, &#x003B1; (Sakane et al., <xref ref-type="bibr" rid="B44">1990</xref>; Schaap et al., <xref ref-type="bibr" rid="B50">1990</xref>), &#x003B2; (Goto and Kondo, <xref ref-type="bibr" rid="B10">1993</xref>), &#x003B3; (Goto et al., <xref ref-type="bibr" rid="B12">1994</xref>; Kai et al., <xref ref-type="bibr" rid="B18">1994</xref>), &#x003B4; (Sakane et al., <xref ref-type="bibr" rid="B45">1996</xref>), &#x003B5; (Tang et al., <xref ref-type="bibr" rid="B59">1996</xref>), &#x003B6; (Bunting et al., <xref ref-type="bibr" rid="B4">1996</xref>; Goto and Kondo, <xref ref-type="bibr" rid="B11">1996</xref>), &#x003B7; (Klauck et al., <xref ref-type="bibr" rid="B22">1996</xref>), &#x003B8; (Houssa et al., <xref ref-type="bibr" rid="B14">1997</xref>), &#x003B9; (Ding et al., <xref ref-type="bibr" rid="B7">1998</xref>), and &#x003BA; (Imai et al., <xref ref-type="bibr" rid="B15">2005</xref>), have been identified. Moreover, several alternative splicing products&#x02014;such as &#x003B4;1 and &#x003B4;2 (Sakane et al., <xref ref-type="bibr" rid="B48">2002</xref>); &#x003B7;1&#x02013;&#x003B7;3 (Murakami et al., <xref ref-type="bibr" rid="B34">2003</xref>; Shionoya et al., <xref ref-type="bibr" rid="B52">2015</xref>); &#x003B6;1 and &#x003B6;2 (Ding et al., <xref ref-type="bibr" rid="B8">1997</xref>), and &#x003B9;1&#x02013;&#x003B9;3 (Ito et al., <xref ref-type="bibr" rid="B17">2004</xref>)&#x02014;have also been found. These isozymes contain two or three characteristic protein kinase C (PKC)-like C1 domains (cysteine-rich, zinc finger structures) and the catalytic region in common and are subdivided into five groups, type I (&#x003B1;, &#x003B2; and &#x003B3;), II (&#x003B4;, &#x003B7; and &#x003BA;), III (&#x003B5;), IV (&#x003B6; and &#x003B9;), and V (&#x003B8;), according to their structural features (Goto et al., <xref ref-type="bibr" rid="B13">2006</xref>; Sakane et al., <xref ref-type="bibr" rid="B46">2007</xref>; M&#x000E9;rida et al., <xref ref-type="bibr" rid="B30">2008</xref>; Topham and Epand, <xref ref-type="bibr" rid="B61">2009</xref>). Each group is characterized by the subtype-specific functional domains, such as EF-hand motifs (type I), pleckstrin homology and sterile &#x003B1; motif domains (type II), ankyrin repeats (type IV), and ras-associating and pleckstrin homology domains (type V).</p>
<p>Our previous review (Sakane et al., <xref ref-type="bibr" rid="B47">2008</xref>) showed that many interesting studies on DGK have brought DGK to the center stage of diverse biological events such as growth factor/cytokine-dependent cell proliferation and motility, seizure activity, immune responses, cardiovascular responses, and glucose metabolism. Therefore, from a medical point of view, DGK isoforms are implicated in the pathogenesis of a wide variety of diseases, for example, cancer, epilepsy, autoimmunity, cardiac hypertrophy, hypertension, and type II diabetes. Thus, DGKs have emerged as potential and attractive drug targets for curing these diseases.</p>
<p>Recent advances in genotyping technology have allowed for rapid genome-wide screening of common variants in large populations, launching a new era in the investigation of the genetic basis of complex diseases. DGK is no exception. Since our review was published (Sakane et al., <xref ref-type="bibr" rid="B47">2008</xref>), additional interesting reports using genome-wide association studies (GWASs) have successively implied several new possible relationships between DGK isozymes and diseases. For example, DGK&#x003B7; (Baum et al., <xref ref-type="bibr" rid="B3">2008</xref>; Ollila et al., <xref ref-type="bibr" rid="B37">2009</xref>; Squassina et al., <xref ref-type="bibr" rid="B57">2009</xref>; Weber et al., <xref ref-type="bibr" rid="B65">2011</xref>; Zeng et al., <xref ref-type="bibr" rid="B69">2011</xref>), DGK&#x003BA; (van der Zanden et al., <xref ref-type="bibr" rid="B64">2011</xref>; Carmichael et al., <xref ref-type="bibr" rid="B5">2013</xref>), and DGK&#x003B8; (Pankratz et al., <xref ref-type="bibr" rid="B39">2009</xref>; Sim&#x000F3;n-S&#x000E1;nchez et al., <xref ref-type="bibr" rid="B54">2011</xref>) have been suggested to be associated with susceptibility to bipolar disorder (BPD), hypospadias, and Parkinson&#x00027;s disease, respectively.</p>
<p>Among these isozymes, based on the results obtained for the GWASs of <italic>DGKH</italic> (DGK&#x003B7; gene), we recently investigated the relationship between DGK&#x003B7; and BPD. For this purpose, we generated DGK&#x003B7;-knockout (KO) mice and used these mice to perform behavioral and pharmacological tests. Intriguingly, we found that DGK&#x003B7;-knockout mice showed lithium (BPD remedy)-sensitive mania-like behaviors, suggesting that DGK&#x003B7; is one of key enzymes of the pathogenesis of BPD (Isozaki et al., <xref ref-type="bibr" rid="B16">2016</xref>).</p>
<p>As mentioned in our previous review (Sakane et al., <xref ref-type="bibr" rid="B47">2008</xref>), the development of DGK isozyme-specific inhibitors/activators is important both for fundamental research and for developing therapeutic strategies to treat a wide variety of pathological disorders. However, there was no available DGK isozyme-specific inhibitor/activator until recently. We have recently identified DGK&#x003B1;-selective inhibitors using a newly established high-throughput screening method (Sato et al., <xref ref-type="bibr" rid="B49">2013</xref>). Because DGK&#x003B1; has both pro-tumoral and anti-immunogenic properties, the DGK&#x003B1;-selective inhibitors would simultaneously have anti-tumoral and pro-immunogenic (anti-tumor immunogenic) effects.</p>
<p>This mini review will focus primarily on the two abovementioned topics, recent GWASs and the development of DGK isozyme-specific inhibitors.</p>
</sec>
<sec id="s2">
<title>GWAS&#x02014;new possible relationships between DGK isozymes and diseases</title>
<sec>
<title>DGK&#x003B7;</title>
<p>BPD is a highly heritable neuropsychiatric illness characterized by recurrent episodes of depression and mania or hypomania and affects up to 4% of the adult population worldwide (Bauer and Pfennig, <xref ref-type="bibr" rid="B2">2005</xref>; Merikangas et al., <xref ref-type="bibr" rid="B31">2007</xref>). Approximately 20% of the patients die of suicide (Kilbane et al., <xref ref-type="bibr" rid="B21">2009</xref>). Recent GWASs of BPD have proposed novel genetic candidates, including <italic>DGKH</italic>, which encodes DGK&#x003B7;. Baum et al. for the first time, reported a strong association between BPD and three SNPs (rs9315885, rs1012053, and rs1170191) located in the first intron of <italic>DGKH</italic> by a GWAS in two independent samples of European origin (Baum et al., <xref ref-type="bibr" rid="B3">2008</xref>; Table <xref ref-type="table" rid="T1">1</xref>). Next, SNP rs9315885 was demonstrated to be associated with BPD in a Finnish family cohort (Ollila et al., <xref ref-type="bibr" rid="B37">2009</xref>). In addition, six SNPs in <italic>DGKH</italic> including rs1170191 were associated with BPD in a German sample as well (Weber et al., <xref ref-type="bibr" rid="B65">2011</xref>). Moreover, an association of <italic>DGKH</italic> with BPD has also been found in Sardinian (Squassina et al., <xref ref-type="bibr" rid="B57">2009</xref>) and Chinese (Zeng et al., <xref ref-type="bibr" rid="B69">2011</xref>) samples at the haplotype level. In addition, another study showed that BPD samples displayed significantly increased <italic>DGKH</italic> gene expression levels (25% higher than in controls; Moya et al., <xref ref-type="bibr" rid="B33">2010</xref>). These data imply that mutations of the <italic>DGKH</italic> gene are involved in BPD. However, other studies have not confirmed this association (Sklar et al., <xref ref-type="bibr" rid="B55">2008</xref>; Tesli et al., <xref ref-type="bibr" rid="B60">2009</xref>; Yosifova et al., <xref ref-type="bibr" rid="B68">2009</xref>). Moreover, GWAS itself does not directly indicate a relationship between SNPs and diseases. Therefore, it has been difficult to definitively conclude whether <italic>DGKH</italic> is related to BPD.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p><bold>Summary of disease-associated SNPs of <italic>DGK</italic>&#x003B7;, &#x003BA;, &#x003B8;, &#x003B3;, &#x003B4;, and &#x003B9;</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>SNP name</bold></th>
<th valign="top" align="left"><bold>Allele</bold></th>
<th valign="top" align="center"><bold>Location</bold></th>
<th valign="top" align="left"><bold>Gene</bold></th>
<th valign="top" align="left"><bold>Disease/medical condition</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">rs9315885</td>
<td valign="top" align="left">T</td>
<td valign="top" align="center">13q14.11</td>
<td valign="top" align="left">DGK&#x003B7; (Intron 1)</td>
<td valign="top" align="left">BPD</td>
<td valign="top" align="left">Baum et al., <xref ref-type="bibr" rid="B3">2008</xref>; Ollila et al., <xref ref-type="bibr" rid="B37">2009</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs1012053</td>
<td valign="top" align="left">A</td>
<td valign="top" align="center">13q14.11</td>
<td valign="top" align="left">DGK&#x003B7; (Intron 1)</td>
<td valign="top" align="left">BPD</td>
<td valign="top" align="left">Baum et al., <xref ref-type="bibr" rid="B3">2008</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs1170191</td>
<td valign="top" align="left">C/A</td>
<td valign="top" align="center">13q14.11</td>
<td valign="top" align="left">DGK&#x003B7; (Intron 1)</td>
<td valign="top" align="left">BPD</td>
<td valign="top" align="left">Baum et al., <xref ref-type="bibr" rid="B3">2008</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">UPD</td>
<td valign="top" align="left">Weber et al., <xref ref-type="bibr" rid="B65">2011</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs1170169</td>
<td valign="top" align="left">G</td>
<td valign="top" align="center">13q14.11</td>
<td valign="top" align="left">DGK&#x003B7; (Intron 1)</td>
<td valign="top" align="left">BPD</td>
<td valign="top" align="left">Weber et al., <xref ref-type="bibr" rid="B65">2011</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">UPD</td>
<td valign="top" align="left">Weber et al., <xref ref-type="bibr" rid="B65">2011</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">ADHD</td>
<td valign="top" align="left">Weber et al., <xref ref-type="bibr" rid="B65">2011</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs2148004</td>
<td valign="top" align="left">G</td>
<td valign="top" align="center">13q14.11</td>
<td valign="top" align="left">DGK&#x003B7; (Intron 1)</td>
<td valign="top" align="left">UPD</td>
<td valign="top" align="left">Weber et al., <xref ref-type="bibr" rid="B65">2011</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs994856</td>
<td valign="top" align="left">G</td>
<td valign="top" align="center">13q14.11</td>
<td valign="top" align="left">DGK&#x003B7; (Intron 3)</td>
<td valign="top" align="left">BPD</td>
<td valign="top" align="left">Weber et al., <xref ref-type="bibr" rid="B65">2011</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">UPD</td>
<td valign="top" align="left">Weber et al., <xref ref-type="bibr" rid="B65">2011</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">ADHD</td>
<td valign="top" align="left">Weber et al., <xref ref-type="bibr" rid="B65">2011</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs9525580</td>
<td valign="top" align="left">A</td>
<td valign="top" align="center">13q14.11</td>
<td valign="top" align="left">DGK&#x003B7; (Intron 3)</td>
<td valign="top" align="left">BPD</td>
<td valign="top" align="left">Weber et al., <xref ref-type="bibr" rid="B65">2011</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">UPD</td>
<td valign="top" align="left">Weber et al., <xref ref-type="bibr" rid="B65">2011</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">ADHD</td>
<td valign="top" align="left">Weber et al., <xref ref-type="bibr" rid="B65">2011</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs9525584</td>
<td valign="top" align="left">C</td>
<td valign="top" align="center">13q14.11</td>
<td valign="top" align="left">DGK&#x003B7; (Intron 7)</td>
<td valign="top" align="left">BPD</td>
<td valign="top" align="left">Weber et al., <xref ref-type="bibr" rid="B65">2011</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">UPD</td>
<td valign="top" align="left">Weber et al., <xref ref-type="bibr" rid="B65">2011</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs1170101</td>
<td valign="top" align="left">G</td>
<td valign="top" align="center">13q14.11</td>
<td valign="top" align="left">DGK&#x003B7; (Intron 20)</td>
<td valign="top" align="left">BPD</td>
<td valign="top" align="left">Weber et al., <xref ref-type="bibr" rid="B65">2011</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">UPD</td>
<td valign="top" align="left">Weber et al., <xref ref-type="bibr" rid="B65">2011</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs347405</td>
<td valign="top" align="left">C</td>
<td valign="top" align="center">13q14.11</td>
<td valign="top" align="left">DGK&#x003B7; (Intron 26)</td>
<td valign="top" align="left">ADHD</td>
<td valign="top" align="left">Weber et al., <xref ref-type="bibr" rid="B65">2011</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs2122246</td>
<td valign="top" align="left">G</td>
<td valign="top" align="center">13q14.11</td>
<td valign="top" align="left">DGK&#x003B7; (Intron 14)</td>
<td valign="top" align="left">BPD</td>
<td valign="top" align="left">Zeng et al., <xref ref-type="bibr" rid="B69">2011</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs1170099</td>
<td valign="top" align="left">A</td>
<td valign="top" align="center">13q14.11</td>
<td valign="top" align="left">DGK&#x003B7; (Intron 20)</td>
<td valign="top" align="left">SCZ</td>
<td valign="top" align="left">Zeng et al., <xref ref-type="bibr" rid="B69">2011</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs1934179</td>
<td valign="top" align="left">A/G</td>
<td valign="top" align="center">Xp11.22</td>
<td valign="top" align="left">DGK&#x003BA; (Intron 1)</td>
<td valign="top" align="left">Hypospadias</td>
<td valign="top" align="left">van der Zanden et al., <xref ref-type="bibr" rid="B64">2011</xref>;<break/> Carmichael et al., <xref ref-type="bibr" rid="B5">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs7063116</td>
<td valign="top" align="left">A</td>
<td valign="top" align="center">Xp11.22</td>
<td valign="top" align="left">DGK&#x003BA; (5&#x02032; upstream)</td>
<td valign="top" align="left">Hypospadias</td>
<td valign="top" align="left">van der Zanden et al., <xref ref-type="bibr" rid="B64">2011</xref>;<break/> Carmichael et al., <xref ref-type="bibr" rid="B5">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs5961179</td>
<td valign="top" align="left">G</td>
<td valign="top" align="center">Xp11.22</td>
<td valign="top" align="left">DGK&#x003BA; (Exon 15, synonymous codon)</td>
<td valign="top" align="left">Hypospadias</td>
<td valign="top" align="left">Carmichael et al., <xref ref-type="bibr" rid="B5">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs7882950</td>
<td valign="top" align="left">T</td>
<td valign="top" align="center">Xp11.22</td>
<td valign="top" align="left">DGK&#x003BA; (Intron 14)</td>
<td valign="top" align="left">Hypospadias</td>
<td valign="top" align="left">Carmichael et al., <xref ref-type="bibr" rid="B5">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs12556919</td>
<td valign="top" align="left">T</td>
<td valign="top" align="center">Xp11.22</td>
<td valign="top" align="left">DGK&#x003BA; (Intron 13)</td>
<td valign="top" align="left">Hypospadias</td>
<td valign="top" align="left">Carmichael et al., <xref ref-type="bibr" rid="B5">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs17003341</td>
<td valign="top" align="left">T</td>
<td valign="top" align="center">Xp11.22</td>
<td valign="top" align="left">DGK&#x003BA; (Intron 10)</td>
<td valign="top" align="left">Hypospadias</td>
<td valign="top" align="left">Carmichael et al., <xref ref-type="bibr" rid="B5">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs1934190</td>
<td valign="top" align="left">G</td>
<td valign="top" align="center">Xp11.22</td>
<td valign="top" align="left">DGK&#x003BA; (Intron 8)</td>
<td valign="top" align="left">Hypospadias</td>
<td valign="top" align="left">Carmichael et al., <xref ref-type="bibr" rid="B5">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs4143304</td>
<td valign="top" align="left">T</td>
<td valign="top" align="center">Xp11.22</td>
<td valign="top" align="left">DGK&#x003BA; (Exon 6, synonymous codon)</td>
<td valign="top" align="left">Hypospadias</td>
<td valign="top" align="left">Carmichael et al., <xref ref-type="bibr" rid="B5">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs1934188</td>
<td valign="top" align="left">T</td>
<td valign="top" align="center">Xp11.22</td>
<td valign="top" align="left">DGK&#x003BA; (Intron 4)</td>
<td valign="top" align="left">Hypospadias</td>
<td valign="top" align="left">Carmichael et al., <xref ref-type="bibr" rid="B5">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs17328236</td>
<td valign="top" align="left">G</td>
<td valign="top" align="center">Xp11.22</td>
<td valign="top" align="left">DGK&#x003BA; (Intron 1)</td>
<td valign="top" align="left">Hypospadias</td>
<td valign="top" align="left">Carmichael et al., <xref ref-type="bibr" rid="B5">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs9969978</td>
<td valign="top" align="left">C</td>
<td valign="top" align="center">Xp11.22</td>
<td valign="top" align="left">DGK&#x003BA; (Intron 1)</td>
<td valign="top" align="left">Hypospadias</td>
<td valign="top" align="left">Carmichael et al., <xref ref-type="bibr" rid="B5">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs1934183</td>
<td valign="top" align="left">T</td>
<td valign="top" align="center">Xp11.22</td>
<td valign="top" align="left">DGK&#x003BA; (Intron 1)</td>
<td valign="top" align="left">Hypospadias</td>
<td valign="top" align="left">Carmichael et al., <xref ref-type="bibr" rid="B5">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs6614511</td>
<td valign="top" align="left">T</td>
<td valign="top" align="center">Xp11.22</td>
<td valign="top" align="left">DGK&#x003BA; (Intron 1)</td>
<td valign="top" align="left">Hypospadias</td>
<td valign="top" align="left">Carmichael et al., <xref ref-type="bibr" rid="B5">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs5961183</td>
<td valign="top" align="left">C</td>
<td valign="top" align="center">Xp11.22</td>
<td valign="top" align="left">DGK&#x003BA; (Intron 1)</td>
<td valign="top" align="left">Hypospadias</td>
<td valign="top" align="left">Carmichael et al., <xref ref-type="bibr" rid="B5">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs7876567</td>
<td valign="top" align="left">T</td>
<td valign="top" align="center">Xp11.22</td>
<td valign="top" align="left">DGK&#x003BA; (Intron 1)</td>
<td valign="top" align="left">Hypospadias</td>
<td valign="top" align="left">Carmichael et al., <xref ref-type="bibr" rid="B5">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs1564282</td>
<td valign="top" align="left">T/A</td>
<td valign="top" align="center">4p16.3</td>
<td valign="top" align="left">DGK&#x003B8; (3&#x02032; downstream)</td>
<td valign="top" align="left">Parkinson&#x00027;s disease</td>
<td valign="top" align="left">Pankratz et al., <xref ref-type="bibr" rid="B39">2009</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs11248060</td>
<td valign="top" align="left">T/A</td>
<td valign="top" align="center">4p16.3</td>
<td valign="top" align="left">DGK&#x003B8; (Intron 2)</td>
<td valign="top" align="left">Parkinson&#x00027;s disease</td>
<td valign="top" align="left">Pankratz et al., <xref ref-type="bibr" rid="B39">2009</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs7647305</td>
<td valign="top" align="left">C</td>
<td valign="top" align="center">3q27.2</td>
<td valign="top" align="left">DGK&#x003B3; (3&#x02032; downstream)</td>
<td valign="top" align="left">BMI</td>
<td valign="top" align="left">Mel&#x000E9;n et al., <xref ref-type="bibr" rid="B29">2010</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs6798931</td>
<td valign="top" align="left">G/C</td>
<td valign="top" align="center">3q27.2</td>
<td valign="top" align="left">DGK&#x003B3; (Intron 19)</td>
<td valign="top" align="left">BMI</td>
<td valign="top" align="left">Mel&#x000E9;n et al., <xref ref-type="bibr" rid="B29">2010</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs11706414</td>
<td valign="top" align="left">T/A</td>
<td valign="top" align="center">3q27.2</td>
<td valign="top" align="left">DGK&#x003B3; (3&#x02032; downstream)</td>
<td valign="top" align="left">Asthma</td>
<td valign="top" align="left">Mel&#x000E9;n et al., <xref ref-type="bibr" rid="B29">2010</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs888383</td>
<td valign="top" align="left">C/G</td>
<td valign="top" align="center">3q27.2</td>
<td valign="top" align="left">DGK&#x003B3; (Intron 19)</td>
<td valign="top" align="left">Asthma</td>
<td valign="top" align="left">Mel&#x000E9;n et al., <xref ref-type="bibr" rid="B29">2010</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs1550532</td>
<td valign="top" align="left">C</td>
<td valign="top" align="center">2q37.1</td>
<td valign="top" align="left">DGK&#x003B4; (Intron 1)</td>
<td valign="top" align="left">Bone density</td>
<td valign="top" align="left">O&#x00027;Seaghdha et al., <xref ref-type="bibr" rid="B35">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">rs161339</td>
<td valign="top" align="left">G</td>
<td valign="top" align="center">7q32.3</td>
<td valign="top" align="left">DGK&#x003B9; (3&#x02032; downstream)</td>
<td valign="top" align="left">Obesity/BMI</td>
<td valign="top" align="left">Laramie et al., <xref ref-type="bibr" rid="B26">2009</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>BPD, bipolar disorder; UPD, unipolar depression; ADHD, attention deficit hyperactivity disorder; SCZ, schizophrenia; BMI, body mass index</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>All of the SNPs in <italic>DGKH</italic> that are implicated in the etiology of BPD by GWASs are located in introns and 3&#x02032;-flank region (Table <xref ref-type="table" rid="T1">1</xref>). For example, the SNPs rs9315885 and rs1170191, which are identified in multiple independent reports (Baum et al., <xref ref-type="bibr" rid="B3">2008</xref>; Ollila et al., <xref ref-type="bibr" rid="B37">2009</xref>; Weber et al., <xref ref-type="bibr" rid="B65">2011</xref>), are located in the first intron of <italic>DGKH</italic>. Therefore, it is likely that the SNPs lead to dysregulation of the expression and generation of splice variants of DGK&#x003B7;, which probably cause BPD.</p>
<p>DGK&#x003B7; is known to be most abundantly expressed in the brain (Klauck et al., <xref ref-type="bibr" rid="B22">1996</xref>; Usuki et al., <xref ref-type="bibr" rid="B63">2015</xref>). Interestingly, the expression of DGK&#x003B7; increased between 1 and 4 weeks after birth, which coincides with synapse formation in the brain (Usuki et al., <xref ref-type="bibr" rid="B63">2015</xref>). Moreover, a substantial amount of DGK&#x003B7; was detected in layers II&#x02013;VI of the cerebral cortex; in the CA1, CA2, and dentate gyrus regions of the hippocampus; in the mitral cell and glomerular layer of the olfactory bulb; and in the Purkinje cells in the cerebellum of one&#x02014;to 32-week-old mice (Usuki et al., <xref ref-type="bibr" rid="B63">2015</xref>).</p>
<p>To test the association between DGK&#x003B7; and BPD, DGK&#x003B7;-KO mice are required. However, the generation of DGK&#x003B7;-KO mice has not been accomplished until recently. In our recent study, we succeeded in generating DGK&#x003B7;-KO mice, and performed a comprehensive behavioral analysis of the mice (Isozaki et al., <xref ref-type="bibr" rid="B16">2016</xref>) to investigate the role of DGK&#x003B7; in higher brain functions and the relationship between this isozyme and BPD. DGK&#x003B7;-KO mice exhibited increased open field activity (the frequency of behavioral switching hyperactivity), increased open field center time/frequency (antianxiety), increased open arm time/frequency in elevated plus maze (antianxiety), and increased antidepressant-like behavior (Isozaki et al., <xref ref-type="bibr" rid="B16">2016</xref>). Moreover, these phenotypes were sensitive to a BPD remedy, lithium. The behavioral profile (hyperactivity, lower anxiety, lower depressive states, and cognitive impairment) of DGK&#x003B7;-KO mice is similar in behavioral dimensions to BPD patients in the manic state (Martinowich et al., <xref ref-type="bibr" rid="B28">2009</xref>), including the disappearance of the phenotypes upon lithium treatment. These lithium-sensitive phenotypes have been commonly observed in representative BPD model mice, such as neurocan-KO (Mir&#x000F3; et al., <xref ref-type="bibr" rid="B32">2012</xref>), clock-KO (Roybal et al., <xref ref-type="bibr" rid="B43">2007</xref>), glutamate receptor 6-KO (Shaltiel et al., <xref ref-type="bibr" rid="B51">2008</xref>), DGK&#x003B2;-KO (Kakefuda et al., <xref ref-type="bibr" rid="B20">2010</xref>; Shirai et al., <xref ref-type="bibr" rid="B53">2010</xref>), and glycogen synthase kinase 3&#x003B2;-transgenic (Spittaels et al., <xref ref-type="bibr" rid="B56">2000</xref>; Prickaerts et al., <xref ref-type="bibr" rid="B41">2006</xref>) mice. Therefore, these findings strongly suggest that DGK&#x003B7; is one of the key enzymes related to BPD pathogenesis and support the GWAS results. The lack of availability of suitable animal models of mania has been one of the greatest impediments in the field. Our results indicate that the DGK&#x003B7;-KO mice would represent a bona fide model of human BPD with mania. Therefore, it is likely that these mice are particularly useful for studying the pathophysiology of mania. Moreover, DGK&#x003B7;-specific inhibitors can be good remedies for BPD patients in the depressive state.</p>
<p>DGK&#x003B7; has also been found to be associated with attention deficit hyperactivity disorder (ADHD) by GWAS (Weber et al., <xref ref-type="bibr" rid="B65">2011</xref>). Moreover, mania-like behaviors are similar to ADHD symptoms. Therefore, DGK&#x003B7;-KO mice could also represent a model for ADHD, and there may be a possible link between DGK&#x003B7; and ADHD in addition to BPD (Table <xref ref-type="table" rid="T1">1</xref>). GWASs have also implied that DGK&#x003B7; is associated with unipolar depression (Weber et al., <xref ref-type="bibr" rid="B65">2011</xref>), and schizophrenia (Zeng et al., <xref ref-type="bibr" rid="B69">2011</xref>). It is also interesting to investigate the relationship between DGK&#x003B7; and unipolar depression/schizophrenia. DGK&#x003B7; may commonly play pivotal roles in the pathology of these four psychoses.</p>
<p>DGK&#x003B7;-KO mice showed impairment in glycogen synthase kinase 3&#x003B2; signaling (Isozaki et al., <xref ref-type="bibr" rid="B16">2016</xref>), which is closely related to BPD (Spittaels et al., <xref ref-type="bibr" rid="B56">2000</xref>; Prickaerts et al., <xref ref-type="bibr" rid="B41">2006</xref>). However, it is still unclear how DGK&#x003B7; is involved in the etiology of BPD. Phosphatidylinositol turnover has been hypothesized to play an important role in the mechanism of action of lithium (Martinowich et al., <xref ref-type="bibr" rid="B28">2009</xref>). DGK is one of the components of phosphatidylinositol turnover (Goto et al., <xref ref-type="bibr" rid="B13">2006</xref>; Sakane et al., <xref ref-type="bibr" rid="B46">2007</xref>; M&#x000E9;rida et al., <xref ref-type="bibr" rid="B30">2008</xref>; Topham and Epand, <xref ref-type="bibr" rid="B61">2009</xref>). Moreover, we recently found that the pleckstrin homology domain of DGK&#x003B7; is selectively and strongly bound to phosphatidylinositol 4,5-bisphosphate, a product of phosphatidylinositol turnover (Kume et al., <xref ref-type="bibr" rid="B24">2016</xref>). We also revealed that DGK&#x003B7; is a unique enzyme with high affinity for DG (Komenoi et al., <xref ref-type="bibr" rid="B23">2015</xref>). In addition, DGK&#x003B7; is a positive regulator of the epidermal growth factor receptor/Raf/MEK/ERK pathway (Yasuda et al., <xref ref-type="bibr" rid="B67">2009</xref>), which drives phosphatidylinositol turnover and is related to BPD (Sklar et al., <xref ref-type="bibr" rid="B55">2008</xref>). It will be interesting to determine what role DGK&#x003B7; plays in the phosphatidylinositol turnover-related, lithium-sensitive molecular mechanisms of BPD pathogenesis.</p>
</sec>
<sec>
<title>DGK&#x003BA;</title>
<p>Hypospadias is a common congenital hypoplasia of the penis, affecting &#x0007E;1 in 750 births in Europe. It is believed that hypospadias is caused by sex hormonal disturbances. In fact, genetic polymorphisms in endocrine-related genes such as estrogen receptors have been associated with hypospadias (Ban et al., <xref ref-type="bibr" rid="B1">2008</xref>). To further identify the genetic variants in hypospadias, van der Zanden et al. performed the first GWAS using European samples of anterior or middle hypospadias patients and found that two SNPs, rs1934179 and rs7063116, in <italic>DGK</italic>&#x003BA;, which mapped to Xp11.22 and encodes DGK&#x003BA;, exhibited a significant association (van der Zanden et al., <xref ref-type="bibr" rid="B64">2011</xref>; Table <xref ref-type="table" rid="T1">1</xref>). The authors also found SNPs in <italic>DGK</italic>&#x003BA; in additional Dutch and Swedish cohorts of anterior or middle hypospadias cases. Carmichael et al. confirmed that <italic>DGK</italic>&#x003BA; variants are associated with hypospadias in a more racially/ethnically diverse study population of California births (Carmichael et al., <xref ref-type="bibr" rid="B5">2013</xref>). In addition to rs1934179 and rs7063116, several other SNPs in <italic>DGK</italic>&#x003BA; are associated with the disease. DGK&#x003BA; mRNA is most abundant in the testis and placenta (Imai et al., <xref ref-type="bibr" rid="B15">2005</xref>), and the study of van der Zanden et al. showed that expression of <italic>DGK</italic>&#x003BA; was lower in preputial tissues in carriers of the risk allele rs1934179 (van der Zanden et al., <xref ref-type="bibr" rid="B64">2011</xref>). These results indicate that <italic>DGK</italic>&#x003BA; is a major risk gene for hypospadias.</p>
</sec>
<sec>
<title>DGK&#x003B8;</title>
<p>Parkinson&#x00027;s disease (PD) is a second most common chronic neurodegenerative disease with a cumulative prevalence of greater than one per thousand people (Kuopio et al., <xref ref-type="bibr" rid="B25">1999</xref>). Mutations in five genes have been identified to influence PD risk in fewer than 5% of those with PD (Pankratz and Foroud, <xref ref-type="bibr" rid="B38">2007</xref>). Three genes, <italic>PARK2</italic> (<italic>parkin</italic>), <italic>PARK7</italic> (<italic>DJ1</italic>), and <italic>PINK1</italic>, are typically transmitted with autosomal recessive inheritance and two, <italic>SNCA</italic> and <italic>LRRK2</italic>, are inherited in an autosomal dominant fashion. Mutations in all but <italic>LRRK2</italic> are typically found in early onset PD.</p>
<p>In addition to those five genes, two SNPs, rs1564282 and rs11248060, in the <italic>GAK</italic> (cyclin G associated kinase, a cell cycle regulator)<italic>/DGKQ</italic> (DGK&#x003B8;) region were repeatedly reported to be associated with PD by Pankratz et al. (<xref ref-type="bibr" rid="B39">2009</xref>), and Sim&#x000F3;n-S&#x000E1;nchez et al. (<xref ref-type="bibr" rid="B54">2011</xref>) (Table <xref ref-type="table" rid="T1">1</xref>). DGK&#x003B8; is abundantly expressed in the brain (Houssa et al., <xref ref-type="bibr" rid="B14">1997</xref>). Thus, these data suggest the identification of new susceptibility alleles for PD in the <italic>GAK/DGKQ</italic> region.</p>
</sec>
<sec>
<title>Other DGK isozymes</title>
<p>genome-wide association studies have suggested that several other DGK isozymes are associated with diseases and medical conditions as follows: DGK&#x003B3;: asthma (rs11706414, s888383) and obesity (rs7647305, rs6798931) in children (Mel&#x000E9;n et al., <xref ref-type="bibr" rid="B29">2010</xref>); DGK&#x003B4; (rs1550532): bone mineral density (O&#x00027;Seaghdha et al., <xref ref-type="bibr" rid="B35">2013</xref>); and DGK&#x003B9; (rs161339): obesity/body mass index (Laramie et al., <xref ref-type="bibr" rid="B26">2009</xref>; Table <xref ref-type="table" rid="T1">1</xref>).</p>
</sec>
</sec>
<sec id="s3">
<title>Specific inhibitors for DGK isozymes</title>
<p>DGK&#x003B1; (Sakane et al., <xref ref-type="bibr" rid="B44">1990</xref>; Schaap et al., <xref ref-type="bibr" rid="B50">1990</xref>) is highly expressed in hepatocellular carcinoma and melanoma cells (Yanagisawa et al., <xref ref-type="bibr" rid="B66">2007</xref>; Takeishi et al., <xref ref-type="bibr" rid="B58">2012</xref>). DGK&#x003B1; expression is involved in hepatocellular carcinoma progression and is a positive regulator of the proliferative activity of hepatocellular carcinoma through the Ras/Raf/MEK/ERK pathway (Takeishi et al., <xref ref-type="bibr" rid="B58">2012</xref>). In melanoma cells, DGK&#x003B1; positively regulates tumor necrosis factor-&#x003B1;-dependent nuclear factor-&#x003BA;B (p65) activation via the PKC &#x003B6;-mediated Ser311 phosphorylation of p65 (Kai et al., <xref ref-type="bibr" rid="B19">2009</xref>). The growth of colon and breast cancer cell lines was significantly inhibited by DGK&#x003B1;-siRNA and R59949 (Torres-Ayuso et al., <xref ref-type="bibr" rid="B62">2014</xref>). The DGK&#x003B1;/atypical PKC/&#x003B2;1 integrin signaling pathway is essential for matrix invasion of breast carcinoma cells (Rainero et al., <xref ref-type="bibr" rid="B42">2014</xref>). Therefore, the suppression of DGK&#x003B1; activity is expected to inhibit the progression of these cancers. On the other hand, DGK&#x003B1; is abundantly expressed in T lymphocytes, where it facilitates the non-responsive state known as anergy (Olenchock et al., <xref ref-type="bibr" rid="B36">2006</xref>; Zha et al., <xref ref-type="bibr" rid="B70">2006</xref>). Anergy induction in T cells represents the main mechanism by which advanced tumors avoid immune action. Therefore, if a DGK&#x003B1;-selective inhibitor is identified and developed, it would reversely attenuate cancer cell proliferation and simultaneously activate T cell function and can be a dual effective compound.</p>
<p>We started the &#x0201C;Dual effective DGK&#x003B1;-selective inhibitor project&#x0201D; in 2009. To develop highly effective and DGK&#x003B1;-selective inhibitors, a system for high-throughput screening is required; however, the conventional DGK assay is quite laborious and requires technical skill. For example, the conventional assay requires the use of a radioisotope ([&#x003B3;-<sup>32</sup>P]ATP) and the manipulation of thin-layer chromatography with multiple extraction steps. We recently established a simple DGK assay (Sato et al., <xref ref-type="bibr" rid="B49">2013</xref>) that is useful for constructing a high-throughput screening system for detecting DGK inhibitors from chemical compound libraries.</p>
<p>We screened a library containing core 9600 compounds (Drug Discovery Initiative, The University of Tokyo) using a high-throughput chemiluminescence-based assay. We obtained several compounds that inhibited the &#x003B1;-isozyme of DGK. Among the compounds, CU-3, 5-[(2E)-3-(2-furyl)prop-2-enylidene]-3-[(phenylsulfonyl)amino]-2-thioxo-1,3-thiazolidin-4-one was identified as a potent and selective inhibitor against the DGK&#x003B1; (Liu et al., <xref ref-type="bibr" rid="B27">2016</xref>). Compared with commercially available DGK inhibitors, such as R59022 and R59949 (Sato et al., <xref ref-type="bibr" rid="B49">2013</xref>), CU-3 exhibited higher efficiency and selectivity against DGK&#x003B1;. The IC<sub>50</sub> value of CU-3 (0.6 &#x003BC;M) was markedly lower than the values of R59022 and R59949 (&#x0007E;25 and 18 &#x003BC;M, respectively; Sato et al., <xref ref-type="bibr" rid="B49">2013</xref>). R59022 and R59949 only semi-selectively inhibited type I, III and V DGKs &#x003B1;, &#x003B5;, and &#x003B8;, and type I and II DGKs &#x003B1;, &#x003B3;, &#x003B4;, and &#x003BA;, respectively (Sato et al., <xref ref-type="bibr" rid="B49">2013</xref>). However, the IC<sub>50</sub> value of CU-3 for DGK&#x003B1; was at least &#x0007E;12 times lower than the values for other DGK isozymes. Therefore, this study is the first report of a highly &#x003B1;-isozyme selective inhibitor. The target of CU-3 is the catalytic domain of DGK&#x003B1;, and CU-3 competitively reduced the affinity of DGK&#x003B1; for ATP but not diacylglycerol or phosphatidylserine, strongly suggesting that CU-3 competes with ATP binding.</p>
<p>CU-3 induced apoptosis in HepG2 hepatocellular carcinoma and HeLa cervical cancer cells (Liu et al., <xref ref-type="bibr" rid="B27">2016</xref>). Supporting our results, Torres-Ayuso et al. (Torres-Ayuso et al., <xref ref-type="bibr" rid="B62">2014</xref>) also demonstrated that the growth of colon and breast cancer cell lines was significantly inhibited by DGK&#x003B1;-siRNA and R59949. In addition, Dominguez et al. reported that DGK&#x003B1;-siRNA and R59022 negatively affected the proliferation of glioblastoma, melanoma, breast cancer, and cervical cancer cells (Dominguez et al., <xref ref-type="bibr" rid="B9">2013</xref>). The authors also observed that in marked contrast to cancer cells, R59022 did not weaken the growth of non-cancerous astrocytes and fibroblasts (Dominguez et al., <xref ref-type="bibr" rid="B9">2013</xref>). CU-3 also failed to increase the caspase 3/7 activity of the non-cancer-derived COS-7 cells. These findings suggest that CU-3 selectively induces apoptosis.</p>
<p>In addition to the induction of cancer cell apoptosis, we found that CU-3 promoted IL-2 production, which is one of the indicators of T cell activation. Because inactivation (anergy induction) of T cells is the main mechanism by which advanced tumors to avoid immune action, it is expected that CU-3 is able to activate cancer immunity.</p>
<p>General anti-cancer drugs inhibit the proliferation and function of both cancer and bone marrow cells (Chabner and Roberts, <xref ref-type="bibr" rid="B6">2005</xref>; P&#x000E9;rez-Herrero and Fern&#x000E1;ndez-Medarde, <xref ref-type="bibr" rid="B40">2015</xref>). Therefore, they induce not only the attenuation of cancer cell proliferation but also bone marrow suppression/myelosuppression, which is one of the most commonly observed side-effects of anti-cancer drugs. However, there is no drug that has both pro-tumoral and anti-immunogenic effects. The DGK&#x003B1;-selective inhibitor would simultaneously have anti-tumoral and pro-immunogenic effects (Figure <xref ref-type="fig" rid="F1">1</xref>). Therefore, in addition to the direct effects on apoptosis induction in cancer cells, CU-3 can indirectly induce the death of cancer cells through activation of the immune system. Moreover, CU-3 can be an effective tool for biological science concerning cancer and immunity.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p><bold>A DGK&#x003B1;-selective inhibitor would directly attenuate cancer cell proliferation and simultaneously activate T cell function, which includes anti-tumor immunogenic activity (Liu et al., <xref ref-type="bibr" rid="B27">2016</xref>)</bold>.</p></caption>
<graphic xlink:href="fcell-04-00082-g0001.tif"/>
</fig>
<p>CU-3 still does not have sufficient isozyme selectivity and efficiency as an excellent inhibitor. Moreover, comprehensive studies where other kinase groups are tested have not been performed. Further refinement of CU-3 and/or identification/development of new candidates using larger chemical compound libraries are required. Finally, our current results encourage us to identify and develop specific inhibitors/activators against every DGK isozyme that can be effective regulators and drugs against a wide variety of physiological events and diseases, although the ten DGK isozymes are highly similar to each other.</p>
</sec>
<sec id="s4">
<title>Author contributions</title>
<p>All authors listed, have made substantial, direct and intellectual contribution to the work, and approved it for publication.</p>
<sec>
<title>Conflict of interest statement</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>
</body>
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