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<article article-type="research-article" xml:lang="en" dtd-version="1.4"><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-ta">BMC Psychiatry</journal-id><journal-id journal-id-type="iso-abbrev">BMC Psychiatry</journal-id><journal-id journal-id-type="pmc-domain-id">62</journal-id><journal-id journal-id-type="pmc-domain">bmcpsyc</journal-id><journal-id journal-id-type="nlm-id">100968559</journal-id><journal-title-group><journal-title>BMC Psychiatry</journal-title></journal-title-group><issn pub-type="epub">1471-244X</issn><?publisher_abbrev csg?><publisher><publisher-name>BMC</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmcid">PMC11468367</article-id><article-id pub-id-type="pmcid-ver">PMC11468367.1</article-id><article-id pub-id-type="pmcaid">11468367</article-id><article-id pub-id-type="pmcaiid">11468367</article-id><article-id pub-id-type="pmid">39394085</article-id><article-id pub-id-type="doi">10.1186/s12888-024-06043-0</article-id><article-id pub-id-type="publisher-id">6043</article-id><article-version article-version-type="pmc-version">1</article-version><article-categories><subj-group subj-group-type="heading"><subject>Research</subject></subj-group></article-categories><title-group><article-title>DNA methylation and gene expression of immune cell markers in adolescents with chronic cannabis use: an exploratory study</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes" equal-contrib="yes"><name name-style="western"><surname>Plank</surname><given-names initials="AC">Anne-Christine</given-names></name><address><email>anne-christine.plank@uk-erlangen.de</email></address><xref ref-type="aff" rid="Aff1">1</xref></contrib><contrib contrib-type="author" equal-contrib="yes"><name name-style="western"><surname>Wiedmann</surname><given-names initials="M">Melina</given-names></name><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Kuitunen-Paul</surname><given-names initials="S">Sören</given-names></name><xref ref-type="aff" rid="Aff2">2</xref><xref ref-type="aff" rid="Aff3">3</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Wagner</surname><given-names initials="W">Wolfgang</given-names></name><xref ref-type="aff" rid="Aff4">4</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Perez-Correa</surname><given-names initials="JF">Juan-Felipe</given-names></name><xref ref-type="aff" rid="Aff4">4</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Franzen</surname><given-names initials="J">Julia</given-names></name><xref ref-type="aff" rid="Aff4">4</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Ioannidis</surname><given-names initials="C">Charalampos</given-names></name><xref ref-type="aff" rid="Aff5">5</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Mirtschink</surname><given-names initials="P">Peter</given-names></name><xref ref-type="aff" rid="Aff5">5</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Roessner</surname><given-names initials="V">Veit</given-names></name><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="author" corresp="yes"><name name-style="western"><surname>Golub</surname><given-names initials="Y">Yulia</given-names></name><address><email>yulia.golub@uni-oldenburg.de</email></address><xref ref-type="aff" rid="Aff6">6</xref></contrib><aff id="Aff1"><label>1</label><institution-wrap><institution-id institution-id-type="GRID">grid.5330.5</institution-id><institution-id institution-id-type="ISNI">0000 0001 2107 3311</institution-id><institution>Department of Child and Adolescent Mental Health, </institution><institution>University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, </institution></institution-wrap>Erlangen, Germany </aff><aff id="Aff2"><label>2</label><institution-wrap><institution-id institution-id-type="ROR">https://ror.org/042aqky30</institution-id><institution-id institution-id-type="GRID">grid.4488.0</institution-id><institution-id institution-id-type="ISNI">0000 0001 2111 7257</institution-id><institution>Department of Child and Adolescent Psychiatry, Faculty of Medicine, </institution><institution>Technische Universität Dresden, </institution></institution-wrap>Dresden, Germany </aff><aff id="Aff3"><label>3</label><institution-wrap><institution-id institution-id-type="ROR">https://ror.org/00a208s56</institution-id><institution-id institution-id-type="GRID">grid.6810.f</institution-id><institution-id institution-id-type="ISNI">0000 0001 2294 5505</institution-id><institution>Chair for Clinical Psychology and Psychotherapy, </institution><institution>Technische Universität Chemnitz, </institution></institution-wrap>Chemnitz, Germany </aff><aff id="Aff4"><label>4</label><institution-wrap><institution-id institution-id-type="ROR">https://ror.org/04xfq0f34</institution-id><institution-id institution-id-type="GRID">grid.1957.a</institution-id><institution-id institution-id-type="ISNI">0000 0001 0728 696X</institution-id><institution>Institute for Stem Cell Biology, </institution><institution>Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University Medical School, </institution></institution-wrap>Aachen, Germany </aff><aff id="Aff5"><label>5</label><institution-wrap><institution-id institution-id-type="GRID">grid.412282.f</institution-id><institution-id institution-id-type="ISNI">0000 0001 1091 2917</institution-id><institution>Institute for Clinical Chemistry and Laboratory Medicine, </institution><institution>University Hospital Dresden, </institution></institution-wrap>Dresden, Germany </aff><aff id="Aff6"><label>6</label><institution-wrap><institution-id institution-id-type="ROR">https://ror.org/033n9gh91</institution-id><institution-id institution-id-type="GRID">grid.5560.6</institution-id><institution-id institution-id-type="ISNI">0000 0001 1009 3608</institution-id><institution>Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, School of Medicine and Health Sciences, Carl von Ossietzky Universität Oldenburg, </institution></institution-wrap>Oldenburg, Germany </aff></contrib-group><pub-date pub-type="epub"><day>11</day><month>10</month><year>2024</year></pub-date><pub-date pub-type="collection"><year>2024</year></pub-date><volume>24</volume><issue-id pub-id-type="pmc-issue-id">452078</issue-id><elocation-id>676</elocation-id><history><date date-type="received"><day>4</day><month>6</month><year>2024</year></date><date date-type="accepted"><day>23</day><month>8</month><year>2024</year></date></history><pub-history><event event-type="pmc-release"><date><day>11</day><month>10</month><year>2024</year></date></event><event event-type="pmc-live"><date><day>11</day><month>10</month><year>2024</year></date></event><event event-type="pmc-last-change"><date iso-8601-date="2026-02-05 23:25:14.263"><day>05</day><month>02</month><year>2026</year></date></event></pub-history><permissions><copyright-statement>© The Author(s) 2024</copyright-statement><copyright-year>2024</copyright-year><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/" specific-use="textmining" content-type="ccbylicense">https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p><bold>Open Access</bold> This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>.</license-p></license></permissions><self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pmc-pdf" xlink:href="12888_2024_Article_6043.pdf"><?pdf-name 12888_2024_Article_6043.pdf?><?pdf-size 1736408?><?pdf-md5 76e52ff6268c7d3e0b42e643fd231cf1?><?pdf-image-server-status NEVER_LOAD?><?pdf-cloudpmc-urn urn:app:6bc3/11468367/76e52ff6268c/12888_2024_Article_6043.pdf?></self-uri><abstract id="Abs1"><sec><title>Background</title><p id="Par1">Experimental studies indicate that phytocannabinoids have immune-modulatory properties. However, the effects of chronic cannabis use (CCU) in adolescents on their immune cells have been scarcely investigated to date, although CCU is increasingly observed in this age group. </p></sec><sec><title>Methods</title><p id="Par2">In this study, we analyzed DNA methylation and gene expression of immune cell markers in whole-blood samples of adolescent CCU-outpatients and non-cannabis-using (NCU) controls (<italic toggle="yes">n</italic> = 14 vs. <italic toggle="yes">n</italic> = 15, mean age = 16.1 ± 1.3 years). Site-specific DNA methylation values were used to calculate A) proportion estimates of circulating white blood cell (WBC) types and B) mean DNA methylation values of common immune cell markers (<italic toggle="yes">CD4, CD8A, CD19, FCGR3A, CD14, FUT4, MPO</italic>), whose gene expression levels were additionally determined.</p></sec><sec><title>Results</title><p id="Par3">CCU adolescents had a lower estimated proportion of B cells compared to NCU subjects. An originally observed higher proportion of granulocytes in CCU subjects, however, was attenuated when controlling for past-year tobacco use. The observed differences in mean DNA methylation and gene expression of immune cell markers were not statistically significant.</p></sec><sec><title>Conclusion</title><p id="Par4">The results of our explorative study indicate that CCU in adolescents is associated with altered levels of circulating WBCs. Further studies with larger cohorts are warranted to confirm our findings and to provide insights regarding their functional consequences.</p></sec><sec><title>Supplementary Information</title><p>The online version contains supplementary material available at 10.1186/s12888-024-06043-0.</p></sec></abstract><kwd-group xml:lang="en"><title>Keywords</title><kwd>Chronic cannabis use</kwd><kwd>DNA methylation</kwd><kwd>Gene expression</kwd><kwd>Adolescents</kwd><kwd>White blood cells</kwd><kwd>B cells</kwd></kwd-group><funding-group><award-group><funding-source><institution>Carl von Ossietzky Universität Oldenburg (3092)</institution></funding-source></award-group><open-access><p>Open Access funding enabled and organized by Projekt DEAL.</p></open-access></funding-group><custom-meta-group><custom-meta><meta-name>pmc-status-qastatus</meta-name><meta-value>0</meta-value></custom-meta><custom-meta><meta-name>pmc-status-live</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-status-embargo</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-status-released</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-open-access</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-olf</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-manuscript</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-legally-suppressed</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-has-pdf</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-has-supplement</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-pdf-only</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-suppress-copyright</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-is-real-version</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-is-scanned-article</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-preprint</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-in-epmc</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-license-ref</meta-name><meta-value>CC BY</meta-value></custom-meta><custom-meta><meta-name>issue-copyright-statement</meta-name><meta-value>© BioMed Central Ltd., part of Springer Nature 2024</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="Sec1"><title>Background</title><p id="Par19">The consumption of cannabis has a long history marked by controversial views about its legality and risks, both regarding its application for medical purposes and as psychoactive drug. Concerning the latter, it is the most frequently used illicit substance worldwide and, as such, a major public health issue due to its negative physical and psychological outcomes [<xref ref-type="bibr" rid="CR1">1</xref>]. Chronic cannabis use (CCU) has been, among others, linked to respiratory and vascular issues [<xref ref-type="bibr" rid="CR2">2</xref>] and an increased risk of developing psychotic disorders [<xref ref-type="bibr" rid="CR3">3</xref>]. Given that the use of cannabis also affects brain development, adolescents are considered to be especially vulnerable to its negative effects: CCU in adolescence has been associated with a decline in cognitive function, comprising impaired learning, memory and thinking [<xref ref-type="bibr" rid="CR4">4</xref>, <xref ref-type="bibr" rid="CR5">5</xref>]. Still, a trend toward increasing societal acceptance and a less harmful view of cannabis use is observed, particularly among adolescents [<xref ref-type="bibr" rid="CR6">6</xref>]. The lifetime use of cannabis among German adolescents has been increasing from 6.7% in 2011 to 9.3% in 2021, with 3.5% of adolescent users reporting cannabis use during the previous month and 1.6% consuming cannabis on a regular basis (defined as more than 10 times within the last 12 months) [<xref ref-type="bibr" rid="CR7">7</xref>].
</p><p id="Par20">In addition, more and more countries are legalizing cannabis and cannabis-based products for recreational and medical purposes. Of the numerous chemical compounds derived from the cannabis plant (<italic toggle="yes">Cannabis sativa</italic>), the two most extensively studied phytocannabinoids are cannabidiol (CBD) and trans-Δ9-tetrahydrocannabinol (THC). THC is known to be the major psychotropic component of cannabis, limiting its therapeutic use due to adverse effects, whereas the non-psychotropic CBD is considered to have a high potential for therapeutic use. The use of medicinal cannabis (containing both THC and CBD) in the treatment of, e.g., chronic pain, chemotherapy-induced nausea and vomiting, anxiety, seizure disorders and inflammatory bowel disease [<xref ref-type="bibr" rid="CR8">8</xref>–<xref ref-type="bibr" rid="CR10">10</xref>] illustrates that cannabis has diverse effects on a variety of physiological processes, including modulations of the immune system. Both THC and CBD have been shown to possess immuno-modulatory and anti-inflammatory properties in vitro and in animal models (reviewed by, e.g., [<xref ref-type="bibr" rid="CR11">11</xref>, <xref ref-type="bibr" rid="CR12">12</xref>]). THC primarily exerts its effects through cannabinoid receptors of the endocannabinoid system (ECS): while cannabinoid receptor 1 (CB1) is mainly localized in the central nervous system [<xref ref-type="bibr" rid="CR13">13</xref>] and mediates the psychotropic effects of THC, cannabinoid receptor 2 (CB2) is predominantly expressed by lymphoid organs and immune cells [<xref ref-type="bibr" rid="CR14">14</xref>], with highest mRNA levels in B cells, followed by natural killer (NK) cells, monocytes, polymorphonuclear leukocytes, CD8 + T cells and CD4 + T cells [<xref ref-type="bibr" rid="CR14">14</xref>]. Accordingly, the ECS is considered to be a key regulator of the immune system and to modulate both innate and adaptive immune responses [<xref ref-type="bibr" rid="CR15">15</xref>]. In contrast to THC, CBD only displays weak affinity for cannabinoid receptors [<xref ref-type="bibr" rid="CR16">16</xref>], in spite of its impact on immune functions. However, it has been shown that CBD (and THC) can act via several further receptors (e.g., PPARγ, GPR55) and ion channels (e.g., members of the TRPA/TRPV channel families) involved in ECS signaling [<xref ref-type="bibr" rid="CR15">15</xref>, <xref ref-type="bibr" rid="CR17">17</xref>]. Notably, genetic variants of genes encoding such receptors and other proteins involved in the action, metabolism and transport of cannabinoids may explain the inter-individual differences observed in the therapeutic and adverse effects of phytocannabinoids [<xref ref-type="bibr" rid="CR18">18</xref>]. With regard to immune function, for instance, a polymorphism in the CB2 receptor gene has been linked to altered endocannabinoid immune modulation [<xref ref-type="bibr" rid="CR19">19</xref>].</p><p id="Par21">The impact of cannabinoids on the immune system is regarded as biphasic, exhibiting both stimulatory and inhibitory effects contingent on the specific type and concentration of cannabinoids involved [<xref ref-type="bibr" rid="CR20">20</xref>]. The immunosuppressive and anti-inflammatory effects of cannabinoids have been demonstrated in numerous experimental models, both in vitro and in vivo, and are exerted via multiple mechanisms. These comprise suppression of pro-inflammatory cytokines and chemokines [<xref ref-type="bibr" rid="CR21">21</xref>], inhibition of immune cell proliferation / activation [<xref ref-type="bibr" rid="CR11">11</xref>, <xref ref-type="bibr" rid="CR20">20</xref>], induction of immune cell apoptosis [<xref ref-type="bibr" rid="CR22">22</xref>] as well as induction of regulatory T cells and of immunosuppressive myeloid-derived suppressor cells (MDSCs) [<xref ref-type="bibr" rid="CR23">23</xref>]. Recent studies suggest that the molecular mechanisms mediating these effects involve, among others, regulation of gene expression via epigenetic modulations [<xref ref-type="bibr" rid="CR23">23</xref>], such as DNA methylation (i.e., the attachment of a methyl group to a cytosine base, commonly in a CpG dinucleotide context). Several studies have shown that cannabis use can impact DNA methylation, both on a genome-wide scale and of candidate genes [<xref ref-type="bibr" rid="CR24">24</xref>, <xref ref-type="bibr" rid="CR25">25</xref>]. For instance, induction of MDSC by THC has been associated with altered methylation profiles of key genes involved in the differentiation and function of these immune cells [<xref ref-type="bibr" rid="CR26">26</xref>].</p><p id="Par22">In medical conditions requiring modulation or suppression of immune responses, such as autoimmune diseases or organ transplantation, the proposed immune-modulatory and anti-inflammatory properties of cannabis-derived cannabinoids could be beneficial. On the other hand, animal studies have demonstrated an association between cannabinoids and a compromised resistance to different pathogens, e.g., <italic toggle="yes">Legionella pneumophila</italic> or certain viral infections [<xref ref-type="bibr" rid="CR11">11</xref>, <xref ref-type="bibr" rid="CR27">27</xref>, <xref ref-type="bibr" rid="CR28">28</xref>]. Although these findings implicate that particularly CCU might have adverse immunological consequences, there is only a limited number of studies with inconclusive outcomes as to whether cannabis use impairs immune competence in human subjects [<xref ref-type="bibr" rid="CR29">29</xref>, <xref ref-type="bibr" rid="CR30">30</xref>]. Several studies assessing immune-related effects of cannabis use in HIV patients have suggested that cannabis does not adversely affect their immune status [<xref ref-type="bibr" rid="CR31">31</xref>–<xref ref-type="bibr" rid="CR33">33</xref>]. In adult individuals without an infectious disease, there is limited evidence supporting a link between regular exposure to cannabis and a decrease in the production of several factors mediating inflammation [<xref ref-type="bibr" rid="CR29">29</xref>]. However, such associations were not confirmed for CRP (C-reactive protein, a marker of inflammation) in cannabis-using adolescents and young adults [<xref ref-type="bibr" rid="CR34">34</xref>, <xref ref-type="bibr" rid="CR35">35</xref>]. The few studies to date that have examined the numbers of circulating white blood cells (WBCs) in cannabis users also provide mixed results [<xref ref-type="bibr" rid="CR25">25</xref>, <xref ref-type="bibr" rid="CR36">36</xref>–<xref ref-type="bibr" rid="CR38">38</xref>]. In summary, more research is urgently needed to uncover the effects of CCU on immune function – especially in adolescence, since the vulnerability to the negative effects of cannabis is increased during this developmental period [<xref ref-type="bibr" rid="CR5">5</xref>]. In the present exploratory study, we therefore aimed to investigate the association of CCU with leukocyte measures, including DNA methylation and expression levels of different immune cell markers, in an adolescent outpatient cohort. We hypothesize that CCU is linked to alterations in leukocyte proportions and the expression of associated immune cell markers in adolescent users.</p></sec><sec id="Sec2"><title>Material and methods</title><sec id="Sec3"><title>Study design and participants</title><p id="Par23">The study, part of a larger project at C. G. Carus University Hospital, evaluated a group-based intervention program for adolescents with chronic substance use. Data and sample collection for the current analyses was integrated into routine diagnostic procedures. Prior to their participation in the study, all adolescents and their legal guardians provided written informed consent/assent. The study was approved by the local ethics committee of the Medical Faculty of the TU Dresden (EK 66022018) and conducted in accordance with the Declaration of Helsinki. For further information see Wiedmann et al. (2022) [<xref ref-type="bibr" rid="CR24">24</xref>].</p><p id="Par24">Of <italic toggle="yes">n</italic> = 252 adolescents with substance use disorders (SUD), <italic toggle="yes">n</italic> = 61 provided blood samples. Of these, <italic toggle="yes">n</italic> = 46 adolescents were excluded because of either use of illicit substances other than cannabis during the past month / past 12 months (more than weekly use), or due to medication intake. In addition, <italic toggle="yes">n</italic> = 1 adolescent had to be excluded due to technical reasons (insufficient sample quality). The final CCU group comprised <italic toggle="yes">n</italic> = 14 adolescents with CCU (shown in Fig. <xref rid="Fig1" ref-type="fig">1</xref>). <italic toggle="yes">N</italic> = 25 age- and gender-matched adolescents with no self-reported lifetime use of cannabis or any other illicit substance were recruited from other psychiatric departments of the clinic and via local advertisement. <italic toggle="yes">N</italic> = 23 agreed to provide blood samples. The non-cannabis-using (NCU) control group was further matched to the CCU group with regard to alcohol and tobacco use, depressive symptoms (BDI-II scores) and other co-occurring psychiatric disorders (psychotic disorders, mood disorders, anxiety disorders, conduct disorders, obsessive compulsive disorders, posttraumatic stress disorders, eating disorders and tic disorders). The final NCU group comprised<italic toggle="yes"> n</italic> = 15 adolescents (shown in Fig. <xref rid="Fig1" ref-type="fig">1</xref>).<fig id="Fig1" position="float" orientation="portrait"><label>Fig. 1</label><caption><p>Flow chart* of sample composition for the CCU (chronic cannabis use) group and the control group (non-cannabis-using, NCU). *The Figure was partly generated using Servier Medical Art, provided by Servier, licensed under a Creative Commons Attribution 3.0 unported license</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" id="MO1" position="float" orientation="portrait" xlink:href="12888_2024_6043_Fig1_HTML.jpg"><?image-name 12888_2024_6043_Fig1_HTML.jpg?><?image-size 78896?><?image-md5 77d41e157c5a086d3a8ea7a84f845e7e?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 1019?><?image-original-width 1947?><?image-scaled-height 407?><?image-scaled-width 778?><?image-cloudpmc-urn urn:cdn:blobs/6bc3/11468367/77d41e157c5a/12888_2024_6043_Fig1_HTML.jpg?><?thumb-name 12888_2024_6043_Fig1_HTML.gif?><?thumb-size 4303?><?thumb-md5 db9ca1a650d5e7db2a0c127170976d1c?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 80?><?thumb-scaled-width 152?><?thumb-cloudpmc-urn urn:cdn:blobs/6bc3/11468367/db9ca1a650d5/12888_2024_6043_Fig1_HTML.gif?></graphic></fig></p></sec><sec id="Sec4"><title>Substance use</title><p id="Par25">We conducted interviews and qualitative urine tests to assess the use of various substances such as tobacco, alcohol, cannabis, 3,4-methylenedioxymethamphetamine (MDMA), amphetamine, methamphetamine, cocaine, hallucinogens, ketamine, opiates and others. The extent of substance use was measured based on average quantity and frequency of use in the past 12 months. CCU was defined as weekly cannabis use during the past 12 months, accompanied by related problems. Using criteria from ICD-10, cannabis dependence (F12.2) and harmful use (F12.1) were identified with 28.6% meeting the criteria for cannabis dependence, and 71.4% for harmful use (Table <xref rid="Tab1" ref-type="table">1</xref>), see also Wiedmann et al. (2022) [<xref ref-type="bibr" rid="CR24">24</xref>].
<table-wrap id="Tab1" position="float" orientation="portrait"><label>Table 1</label><caption><p>Characteristics of demographics, substance use and co-occurring disorders of the sample</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="2" colspan="1"/><th align="left" colspan="1" rowspan="1"><bold>NCU group</bold><break/><bold>(</bold><bold><italic toggle="yes">n</italic></bold><bold> = 15)</bold></th><th align="left" colspan="1" rowspan="1"><bold>CCU group</bold><break/><bold>(</bold><bold><italic toggle="yes">n</italic></bold><bold> = 14)</bold></th><th align="left" colspan="4" rowspan="1"><bold>Group comparison</bold></th></tr><tr><th align="left" colspan="1" rowspan="1"><italic toggle="yes">M</italic> (<italic toggle="yes">SD</italic>) / <italic toggle="yes">N</italic> (%)</th><th align="left" colspan="1" rowspan="1"><italic toggle="yes">M</italic> (SD) / <italic toggle="yes">N</italic> (%)</th><th align="left" colspan="1" rowspan="1"><italic toggle="yes">t / Χ</italic><sup><italic toggle="yes">2</italic></sup><italic toggle="yes">/ U</italic></th><th align="left" colspan="1" rowspan="1"><italic toggle="yes">df</italic></th><th align="left" colspan="1" rowspan="1"><italic toggle="yes">p</italic></th><th align="left" colspan="1" rowspan="1"><italic toggle="yes">d / φ / r</italic></th></tr></thead><tbody><tr><td align="left" colspan="1" rowspan="1">Cannabis use<sup>a</sup></td><td align="left" colspan="1" rowspan="1">0.0 (0.0)</td><td align="left" colspan="1" rowspan="1">21.0 (10.9)</td><td align="left" colspan="1" rowspan="1">-2.90<sup>d</sup></td><td align="left" colspan="1" rowspan="1">13</td><td align="left" colspan="1" rowspan="1">.012*</td><td align="left" colspan="1" rowspan="1">-1.12</td></tr><tr><td align="left" colspan="1" rowspan="1">Alcohol consumption<sup>a</sup></td><td align="left" colspan="1" rowspan="1">0.3 (0.4)</td><td align="left" colspan="1" rowspan="1">5.1 (8.5)</td><td align="left" colspan="1" rowspan="1">-1.81<sup>d</sup></td><td align="left" colspan="1" rowspan="1">10.02</td><td align="left" colspan="1" rowspan="1">.100</td><td align="left" colspan="1" rowspan="1">-0.81</td></tr><tr><td align="left" colspan="1" rowspan="1">Smokers</td><td align="left" colspan="1" rowspan="1">3 (20%)</td><td align="left" colspan="1" rowspan="1">14 (100%)</td><td align="left" colspan="1" rowspan="1">19.11<sup>e</sup></td><td align="left" colspan="1" rowspan="1">1</td><td align="left" colspan="1" rowspan="1"> &lt; .001*</td><td align="left" colspan="1" rowspan="1">.81</td></tr><tr><td align="left" colspan="1" rowspan="1">Tobacco use<sup>a</sup></td><td align="left" colspan="1" rowspan="1">4.1 (10.5)</td><td align="left" colspan="1" rowspan="1">24.9 (8.8)</td><td align="left" colspan="1" rowspan="1">-2.27<sup>d</sup></td><td align="left" colspan="1" rowspan="1">18.91</td><td align="left" colspan="1" rowspan="1">.035*</td><td align="left" colspan="1" rowspan="1">-0.86</td></tr><tr><td align="left" colspan="1" rowspan="1">Sex (males)</td><td align="left" colspan="1" rowspan="1">11 (73.3%)</td><td align="left" colspan="1" rowspan="1">11 (78.6%)</td><td align="left" colspan="1" rowspan="1">.11<sup>e</sup></td><td align="left" colspan="1" rowspan="1">1</td><td align="left" colspan="1" rowspan="1">.742</td><td align="left" colspan="1" rowspan="1">-.06</td></tr><tr><td align="left" colspan="1" rowspan="1">Age (years)</td><td align="left" colspan="1" rowspan="1">15.4 (1.8)</td><td align="left" colspan="1" rowspan="1">16.1 (1.3)</td><td align="left" colspan="1" rowspan="1">-1.31<sup>d</sup></td><td align="left" colspan="1" rowspan="1">27.00</td><td align="left" colspan="1" rowspan="1">.201</td><td align="left" colspan="1" rowspan="1">-0.49</td></tr><tr><td align="left" colspan="1" rowspan="1">BDI-II Score</td><td align="left" colspan="1" rowspan="1">11.1 (11.9)</td><td align="left" colspan="1" rowspan="1">10.0 (8.9)</td><td align="left" colspan="1" rowspan="1">0.27<sup>d</sup></td><td align="left" colspan="1" rowspan="1">26.00</td><td align="left" colspan="1" rowspan="1">.792</td><td align="left" colspan="1" rowspan="1">0.10</td></tr><tr><td align="left" colspan="1" rowspan="1">Cannabis dependence (ICD-10)</td><td align="left" colspan="1" rowspan="1">0 (0%)</td><td align="left" colspan="1" rowspan="1">4 (28.6%)</td><td align="left" colspan="1" rowspan="1">16.35<sup>e</sup></td><td align="left" colspan="1" rowspan="1">1</td><td align="left" colspan="1" rowspan="1"> &lt; .001*</td><td align="left" colspan="1" rowspan="1">.75</td></tr><tr><td align="left" colspan="1" rowspan="1">Cannabis harmful use (ICD-10)</td><td align="left" colspan="1" rowspan="1">0 (0%)</td><td align="left" colspan="1" rowspan="1">10 (71.4%)</td><td align="left" colspan="1" rowspan="1">4.97<sup>e</sup></td><td align="left" colspan="1" rowspan="1">1</td><td align="left" colspan="1" rowspan="1">.026*</td><td align="left" colspan="1" rowspan="1">.41</td></tr><tr><td align="left" colspan="1" rowspan="1">Co-occurring psychiatric disorders<sup>b</sup></td><td align="left" colspan="1" rowspan="1">0.6 (0.7)<sup>c</sup></td><td align="left" colspan="1" rowspan="1">1.2 (1.3)<sup>c</sup></td><td align="left" colspan="1" rowspan="1">75.00<sup>f</sup></td><td align="left" colspan="1" rowspan="1">-</td><td align="left" colspan="1" rowspan="1">.404</td><td align="left" colspan="1" rowspan="1">0.16</td></tr><tr><td align="left" colspan="1" rowspan="1">Common cold (no fever) at time of blood sampling</td><td align="left" colspan="1" rowspan="1">3 (20%)</td><td align="left" colspan="1" rowspan="1">2 (14%)</td><td align="left" colspan="1" rowspan="1">.17<sup>e</sup></td><td align="left" colspan="1" rowspan="1">1</td><td align="left" colspan="1" rowspan="1">.684</td><td align="left" colspan="1" rowspan="1">-.08</td></tr><tr><td align="left" colspan="1" rowspan="1">BMI (age percentile)</td><td align="left" colspan="1" rowspan="1">50.20 (37.53)</td><td align="left" colspan="1" rowspan="1">52.07 (29.02)</td><td align="left" colspan="1" rowspan="1">-0.149<sup>d</sup></td><td align="left" colspan="1" rowspan="1">27</td><td align="left" colspan="1" rowspan="1">.882</td><td align="left" colspan="1" rowspan="1">-.06</td></tr></tbody></table><table-wrap-foot><p><italic toggle="yes">NCU</italic> non-cannabis-using, <italic toggle="yes">CCU</italic> chronic cannabis use, <italic toggle="yes">BDI-II</italic> Beck’s Depression Inventory version 2, <italic toggle="yes">BMI</italic> body mass index. <italic toggle="yes">a</italic> average days per month during past year. <italic toggle="yes">b</italic> <italic toggle="yes">DSM</italic>-5 average number, excluding Substance Use Disorders<italic toggle="yes"> c,</italic> <italic toggle="yes">n</italic> = 1 missing due to missed appointment. Statistics <italic toggle="yes">d,</italic> independent <italic toggle="yes">t</italic>-tests. <italic toggle="yes">e</italic>, Chi-Square tests. <italic toggle="yes">f,</italic> Mann–Whitney <italic toggle="yes">U</italic> test. *<italic toggle="yes">p</italic> &lt; .05</p></table-wrap-foot></table-wrap></p></sec><sec id="Sec5"><title>Diagnosis of psychiatric disorders</title><p id="Par26">The assessment of co-occurring psychiatric disorders was conducted using the German Diagnostic Interview of Psychiatric Disorders [DIPS [<xref ref-type="bibr" rid="CR39">39</xref>, <xref ref-type="bibr" rid="CR40">40</xref>]]. This structured interview follows the DSM-5 criteria and focuses on evaluating the presence of psychiatric disorders in adolescents. The identified disorders were categorized into specific classes as follows: SUD with ICD-10 codes F1X.1 and F1X.2, Depressive Disorders (F32.X, F33.X), Anxiety Disorders (F40.X, F41.X), Posttraumatic Stress Disorder (PTSD; F43.1), Hyperkinetic Disorders (F90.X, F98.8), Conduct Disorders (F90.1, F91.X, and F92.X), Personality Disorders (F93.8 and F43.X except F43.1), and Psychotic Disorders (F1X.5, F1X.7, F30.2, F2X.X).</p></sec><sec id="Sec6"><title>DNA methylation analysis</title><p id="Par27">DNA methylation data investigated in the present study was derived from a genome-wide DNA methylation analysis. Fasting venous blood samples were collected in the morning and stored at –80°C until further processing. All adolescents reported at least 24h abstinence from cannabis at the time of blood drawing. Genomic DNA was isolated from 1.8 – 2.0 ml EDTA whole blood samples using the Qiagen Blood Mini kit (Qiagen, Hilden, Germany) and 1.2 µg were sent to Life &amp; Brain GmbH (Bonn, Germany) for bisulfite conversion and subsequent analysis using the Infinium MethylationEPIC BeadChip (Illumina, San Diego, CA, USA). DNA methylation analysis was performed by Cygenia GmbH (Aachen, Germany). Beta values at approximately 850,000 CpGs were calculated after quantile normalization (using the R package minfi [<xref ref-type="bibr" rid="CR41">41</xref>]), which range from 0 to 1 and reflect DNA methylation levels for each CpG site. To ensure data quality, various quality control measures were implemented, including probe intensities, beta value distributions, unsupervised clustering, and age/gender predictions.</p><sec id="Sec7"><title>Quantification of white blood cells</title><p id="Par28">In order to estimate the proportions of WBC types (B cells, CD8 + T cells, CD4 + T cells, NK cells, granulocytes and monocytes) in each unfractionated whole blood sample, methylation data was statistically analyzed using the Houseman method [<xref ref-type="bibr" rid="CR42">42</xref>, <xref ref-type="bibr" rid="CR43">43</xref>] (performed by Cygenia GmbH, Aachen, Germany).</p></sec><sec id="Sec8"><title>DNA methylation of immune cell marker genes</title><p id="Par29">The immune cell markers selected for CpG site methylation analyses are displayed in Table <xref rid="Tab2" ref-type="table">2</xref>. Methylation levels of CpG sites associated with the target genes were derived from the whole-genome methylation datasets. To assess CCU-dependent differences in methylation levels, the mean beta values of all CpG sites assessed per target gene were calculated. Further information on individual CpG sites is provided in Table S1.
<table-wrap id="Tab2" position="float" orientation="portrait"><label>Table 2</label><caption><p>Immune cell markers selected for analysis</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" colspan="1" rowspan="1">marker</th><th align="left" colspan="1" rowspan="1">immune cell type</th></tr></thead><tbody><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">CD19</italic></td><td align="left" colspan="1" rowspan="1">B cells</td></tr><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">CD8A</italic></td><td align="left" colspan="1" rowspan="1">cytotoxic T cells</td></tr><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">CD4</italic></td><td align="left" colspan="1" rowspan="1">T helper/regulatory cells</td></tr><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">FCGR3A</italic> (CD16)</td><td align="left" colspan="1" rowspan="1">NK cells</td></tr><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">CD14</italic></td><td align="left" colspan="1" rowspan="1">monocytes</td></tr><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">FUT4</italic> (CD15)</td><td align="left" colspan="1" rowspan="1">granulocytes</td></tr><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">MPO</italic></td><td align="left" colspan="1" rowspan="1">neutrophils</td></tr></tbody></table><table-wrap-foot><p><italic toggle="yes">FUT4</italic> fucosyltransferase 4, catalyzes the synthesis of CD15, a marker for granulocytes, i.e. neutrophils, eosinophils, basophils, <italic toggle="yes">MPO</italic> myeloperoxidase, released by activated neutrophils</p></table-wrap-foot></table-wrap></p></sec></sec><sec id="Sec9"><title>Gene expression analysis</title><p id="Par30">RNA extraction from whole blood samples stored at -80°C was performed as described by Kim et al. [<xref ref-type="bibr" rid="CR44">44</xref>] (see Supplementary Information for details). Reverse transcription was performed with the iScript cDNA Synthesis kit (Bio-Rad, Hercules, CA, USA) and cDNA was analyzed by qPCR using the SsoFast Eva Green Supermix (Bio-Rad, Hercules, CA, USA), a CFX384 real-time System C1000 Thermal Cycler (Bio-Rad, Hercules, CA, USA) and the Bio-Rad CFX Manager 3.1 software. Target gene Ct values were normalized to <italic toggle="yes">18S</italic>. Primers used for gene expression analyses of immune cell markers are listed in Supplementary Table S2.</p></sec><sec id="Sec10"><title>Statistical analyses</title><p id="Par31">Statistical analyses were performed using IBM SPSS Statistics Version 28.0.1.1 (IBM Corp., Armonk, NY, USA). Descriptive data are reported as means (<italic toggle="yes">M</italic>) and the standard deviation (<italic toggle="yes">SD</italic>). Outliers were defined as values &gt; 2.7 <italic toggle="yes">SD</italic>s from <italic toggle="yes">M</italic> and were excluded from analyses. Kolmogorov–Smirnov tests were conducted to verify normal distribution of the data (results are displayed in the Supplementary Information). For group comparisons, Chi-Square tests and independent <italic toggle="yes">t</italic>-tests were performed. In case of significantly different variances, as indicated by Levene’s test (<italic toggle="yes">p</italic> ≤ 0.05), <italic toggle="yes">t</italic> values, <italic toggle="yes">p</italic> values and degrees of freedom (<italic toggle="yes">df</italic>) were adjusted. When data was not normally distributed, groups were further compared in a non-parametric test (Mann–Whitney <italic toggle="yes">U</italic>), the results of which are only reported in case of deviating outcomes regarding the level of significance. Effect sizes are reported as <italic toggle="yes">φ</italic> / Cohen’s <italic toggle="yes">d</italic> / <italic toggle="yes">r</italic> and interpreted according to Cohen [<xref ref-type="bibr" rid="CR45">45</xref>] as small (0.20 ≤ |<italic toggle="yes">d</italic>| ≤ 0.49 / 0.10 ≤ |r or <italic toggle="yes">φ</italic>| ≤ 0.29), medium (0.50 ≤ |<italic toggle="yes">d</italic>|≤ 0.79 / 0.30 ≤ |r or <italic toggle="yes">φ</italic>| ≤ 0.49) or large (|<italic toggle="yes">d </italic>|&gt; 0.79 / |r or <italic toggle="yes">φ</italic>| &gt; 0.49). In case of significant group differences, a potential confounding effect of tobacco exposure was addressed by performing MANCOVA (Multivariate Analyses of Covariance) with past year tobacco exposure as control variable, estimated WBC proportion per cell type / target gene methylation / target gene expression as dependent variables and group membership as the predictor variable, reporting <italic toggle="yes">F</italic>-values, <italic toggle="yes">p</italic>-values and partial eta squared (η<sup>2</sup><sub>part</sub>) for effect size estimations (η<sup>2</sup><sub>part</sub> ≥ 0.01 was interpreted as small effect, η<sup>2</sup><sub>part</sub> ≥ 0.06 as a medium effect size and η<sup>2</sup><sub>part</sub> ≥ 0.14 as a strong effect [<xref ref-type="bibr" rid="CR45">45</xref>]). The level of significance was defined as <italic toggle="yes">p</italic> &lt; 0.05 (two-tailed); <italic toggle="yes">p</italic> &lt; 0.10 was interpreted as a trend to significance. Since estimated cell type proportions are interrelated, we used the False Discovery Rate (Benjamini–Hochberg correction) to control for alpha inflation due to multiple testing. However, since our study was exploratory, with a small sample size, we opted not to correct for multiple testing regarding immune cell marker DNA methylation and gene expression. This allows for a broader exploration of the data and facilitates the generation of hypotheses and novel insights.</p></sec></sec><sec id="Sec11"><title>Results</title><sec id="Sec12"><title>Descriptive data and pre-analyses</title><p id="Par32">The CCU group had a mean age of 16.1 (<italic toggle="yes">SD</italic> = 1.3) years and included 79% male adolescents (<italic toggle="yes">n</italic> = 11). Since matching controls were selected, the groups did not differ significantly in age, gender, body mass index (BMI), somatic and psychiatric disorders. None of the participants was suffering from an acute infection or taking medication at the time of examination and blood collection. Despite the selection of the best-fitting NCU controls, the number of smokers and frequency of tobacco use in the past 12 months was significantly higher in the CCU group (Table <xref rid="Tab1" ref-type="table">1</xref>).</p></sec><sec id="Sec13"><title>Estimated proportions of leukocyte subsets</title><p id="Par33">The relative quantification of immune cell type proportions revealed a significantly smaller fraction of B cells in CCU adolescents compared to the NCU group (Fig. <xref rid="Fig2" ref-type="fig">2</xref> and Table S3). This difference remained significant after controlling for multiple testing and past year tobacco use (<italic toggle="yes">F</italic>(25) = 10.07, η<sup>2</sup><sub>part</sub> = 0.30, <italic toggle="yes">p</italic><sub><italic toggle="yes">adjusted</italic></sub> = 0.08). We also found a higher proportion of granulocytes in the CCU group (Fig. <xref rid="Fig2" ref-type="fig">2</xref> and Table S3); however, this difference was attenuated when accounting for past year tobacco use (<italic toggle="yes">F</italic>(25) = 1.55, η<sup>2</sup><sub>part</sub> = 0.06, <italic toggle="yes">p</italic><sub><italic toggle="yes">adjusted</italic></sub> = 0.226).<fig id="Fig2" position="float" orientation="portrait"><label>Fig. 2</label><caption><p>Estimated proportions of leukocyte subsets in unfractionated whole blood samples of the non-cannabis-using (NCU, <italic toggle="yes">n</italic> = 15 / B and NK cells: <italic toggle="yes">n</italic> = 14) and the chronic cannabis use (CCU, <italic toggle="yes">n</italic> = 14) group. Box-whiskers plot, whiskers: minimum to maximum. Independent <italic toggle="yes">t</italic>-tests, *<italic toggle="yes">p</italic> &lt; .05</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" id="MO2" position="float" orientation="portrait" xlink:href="12888_2024_6043_Fig2_HTML.jpg"><?image-name 12888_2024_6043_Fig2_HTML.jpg?><?image-size 79840?><?image-md5 671c3e4f8c1675e8f25b32b2a3abde2e?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 1016?><?image-original-width 1179?><?image-scaled-height 677?><?image-scaled-width 786?><?image-cloudpmc-urn urn:cdn:blobs/6bc3/11468367/671c3e4f8c16/12888_2024_6043_Fig2_HTML.jpg?><?thumb-name 12888_2024_6043_Fig2_HTML.gif?><?thumb-size 3165?><?thumb-md5 6d741982d893f2864e38fa8cb254be09?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 86?><?thumb-scaled-width 100?><?thumb-cloudpmc-urn urn:cdn:blobs/6bc3/11468367/6d741982d893/12888_2024_6043_Fig2_HTML.gif?></graphic></fig></p></sec><sec id="Sec14"><title>DNA methylation of immune cell marker genes</title><p id="Par34">In order to substantiate our findings regarding CCU-associated differences in WBC proportions, we analyzed methylation levels of CpG sites associated with common immune cell marker genes. Before controlling for past year tobacco use, comparisons via <italic toggle="yes">t</italic>-tests revealed significant differences in mean <italic toggle="yes">CD19</italic>-, <italic toggle="yes">CD4</italic>-, <italic toggle="yes">FUT4</italic>- and <italic toggle="yes">MPO-</italic>associated DNA methylation, with the CCU group showing higher <italic toggle="yes">CD19</italic>- and <italic toggle="yes">CD4-</italic>associated methylation and lower <italic toggle="yes">FUT4</italic> and <italic toggle="yes">MPO</italic> methylation levels (Table <xref rid="Tab3" ref-type="table">3</xref>). The trend to lower <italic toggle="yes">FCGR3A</italic> methylation was not statistically significant. CCU and NCU samples did not differ in <italic toggle="yes">CD8A-</italic> and <italic toggle="yes">CD14-</italic>associated DNA methylation [Table <xref rid="Tab3" ref-type="table">3</xref>; see the supplementary material for heatmaps visualizing the individual methylation levels per CpG site for <italic toggle="yes">CD19</italic> and <italic toggle="yes">FUT4</italic> (Fig S1A and B) and the mean individual methylation levels for all target genes (Fig. S2)]. When controlling for past year tobacco exposure, all significant differences were attenuated (<italic toggle="yes">CD19</italic>: <italic toggle="yes">F</italic>(26) = 3.51; η<sup>2</sup><sub>part</sub> = 0.13; <italic toggle="yes">p</italic> = 0.073; <italic toggle="yes">CD4: F</italic>(26) = 1.34; η<sup>2</sup><sub>part</sub> = 0.05; <italic toggle="yes">p</italic> = 0.259; <italic toggle="yes">FUT4</italic>: <italic toggle="yes">F</italic>(26) = 0.50; η<sup>2</sup><sub>part</sub> = 0.02; <italic toggle="yes">p</italic> = 0.487; <italic toggle="yes">MPO</italic>: <italic toggle="yes">F</italic>(26) = 0.60; η<sup>2</sup><sub>part</sub> = 0.02; <italic toggle="yes">p</italic> = 0.446). However, the effect size reported for <italic toggle="yes">CD19</italic> (η<sup>2</sup><sub>part</sub> = 0.13) remained at medium extent.
<table-wrap id="Tab3" position="float" orientation="portrait"><label>Table 3</label><caption><p>Mean methylation levels of CpG sites of <italic toggle="yes">k</italic> = 7 target genes in NCU (<italic toggle="yes">n</italic> = 15) and CCU (<italic toggle="yes">n</italic> = 14) adolescents</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" colspan="1" rowspan="1">Target gene</th><th align="left" colspan="2" rowspan="1">NCU group (<italic toggle="yes">n</italic> = 15)</th><th align="left" colspan="2" rowspan="1">CCU group (<italic toggle="yes">n</italic> = 14)</th><th align="left" colspan="3" rowspan="1">Group comparison</th></tr><tr><th align="left" colspan="1" rowspan="1"/><th align="left" colspan="1" rowspan="1"><italic toggle="yes">M</italic></th><th align="left" colspan="1" rowspan="1"><italic toggle="yes">SD</italic></th><th align="left" colspan="1" rowspan="1"><italic toggle="yes">M</italic></th><th align="left" colspan="1" rowspan="1"><italic toggle="yes">SD</italic></th><th align="left" colspan="1" rowspan="1"><italic toggle="yes">t (df)</italic></th><th align="left" colspan="1" rowspan="1"><italic toggle="yes">p</italic></th><th align="left" colspan="1" rowspan="1"><italic toggle="yes">d</italic></th></tr></thead><tbody><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">CD19</italic></td><td char="." align="char" colspan="1" rowspan="1">0.585</td><td char="." align="char" colspan="1" rowspan="1">0.005</td><td char="." align="char" colspan="1" rowspan="1">0.590</td><td char="." align="char" colspan="1" rowspan="1">0.008</td><td align="left" colspan="1" rowspan="1">-2.12 (27)</td><td align="left" colspan="1" rowspan="1">.043*</td><td align="left" colspan="1" rowspan="1">-0.788</td></tr><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">CD8A</italic></td><td char="." align="char" colspan="1" rowspan="1">0.428</td><td char="." align="char" colspan="1" rowspan="1">0.010</td><td char="." align="char" colspan="1" rowspan="1">0.432</td><td char="." align="char" colspan="1" rowspan="1">0.011</td><td align="left" colspan="1" rowspan="1">-1.10 (27)</td><td align="left" colspan="1" rowspan="1">.281</td><td align="left" colspan="1" rowspan="1">-0.409</td></tr><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">CD4</italic></td><td char="." align="char" colspan="1" rowspan="1">0.747</td><td char="." align="char" colspan="1" rowspan="1">0.009</td><td char="." align="char" colspan="1" rowspan="1">0.758</td><td char="." align="char" colspan="1" rowspan="1">0.014</td><td align="left" colspan="1" rowspan="1">-2.42 (27)</td><td align="left" colspan="1" rowspan="1">.022*</td><td align="left" colspan="1" rowspan="1">-0.900</td></tr><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">FCGR3A</italic></td><td char="." align="char" colspan="1" rowspan="1">0.557</td><td char="." align="char" colspan="1" rowspan="1">0.006</td><td char="." align="char" colspan="1" rowspan="1">0.552</td><td char="." align="char" colspan="1" rowspan="1">0.008</td><td align="left" colspan="1" rowspan="1">1.84 (27)</td><td align="left" colspan="1" rowspan="1">.076</td><td align="left" colspan="1" rowspan="1">0.685</td></tr><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">CD14</italic></td><td char="." align="char" colspan="1" rowspan="1">0.270</td><td char="." align="char" colspan="1" rowspan="1">0.015</td><td char="." align="char" colspan="1" rowspan="1">0.271</td><td char="." align="char" colspan="1" rowspan="1">0.017</td><td align="left" colspan="1" rowspan="1">-0.25 (27)</td><td align="left" colspan="1" rowspan="1">.806</td><td align="left" colspan="1" rowspan="1">-0.092</td></tr><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">FUT4</italic></td><td char="." align="char" colspan="1" rowspan="1">0.365</td><td char="." align="char" colspan="1" rowspan="1">0.019</td><td char="." align="char" colspan="1" rowspan="1">0.341</td><td char="." align="char" colspan="1" rowspan="1">0.035</td><td align="left" colspan="1" rowspan="1">2.26 (27)</td><td align="left" colspan="1" rowspan="1">.032*</td><td align="left" colspan="1" rowspan="1">0.839</td></tr><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">MPO</italic></td><td char="." align="char" colspan="1" rowspan="1">0.561</td><td char="." align="char" colspan="1" rowspan="1">0.025</td><td char="." align="char" colspan="1" rowspan="1">0.523</td><td char="." align="char" colspan="1" rowspan="1">0.053</td><td align="left" colspan="1" rowspan="1">2.47 (18.3)</td><td align="left" colspan="1" rowspan="1">.024*</td><td align="left" colspan="1" rowspan="1">0.939</td></tr></tbody></table><table-wrap-foot><p><italic toggle="yes">NCU</italic> non-cannabis-using, <italic toggle="yes">CCU</italic> chronic cannabis use. Statistics, Independent <italic toggle="yes">t</italic>-tests, *<italic toggle="yes">p</italic> &lt; .05</p></table-wrap-foot></table-wrap></p></sec><sec id="Sec15"><title>Immune cell marker gene expression</title><p id="Par35">Results of independent <italic toggle="yes">t</italic>-tests comparing group means of relative target gene expression are displayed in Table <xref rid="Tab4" ref-type="table">4</xref>. On average, the CCU group showed a non-significant trend to lower expression of <italic toggle="yes">CD19</italic> and to higher expression of <italic toggle="yes">CD14</italic> and <italic toggle="yes">FUT4</italic> than the NCU group (<italic toggle="yes">CD14</italic>: <italic toggle="yes">U</italic> = 141, <italic toggle="yes">p</italic> = 0.045; <italic toggle="yes">FUT4</italic>: <italic toggle="yes">U</italic> = 148, <italic toggle="yes">p</italic> = 0.020). However, controlling for past year tobacco use attenuated the significant difference in <italic toggle="yes">CD14</italic> and <italic toggle="yes">FUT4</italic> expression (<italic toggle="yes">CD14</italic>: <italic toggle="yes">F</italic>(25) = 0.85; η<sup>2</sup><sub>part</sub> = 0.04; <italic toggle="yes">p</italic> = 0.366; <italic toggle="yes">FUT4</italic>: <italic toggle="yes">F</italic>(25) = 0.82; η<sup>2</sup><sub>part</sub> = 0.03; <italic toggle="yes">p</italic> = 0.376). Expression levels of <italic toggle="yes">CD8A, CD4, FCGR3A</italic> and <italic toggle="yes">MPO</italic> did not differ between the CCU and the NCU group (Table <xref rid="Tab4" ref-type="table">4</xref>).
<table-wrap id="Tab4" position="float" orientation="portrait"><label>Table 4</label><caption><p>Relative expression levels of <italic toggle="yes">k</italic> = 7 target genes in NCU (<italic toggle="yes">n</italic> = 15) and CCU (<italic toggle="yes">n</italic> = 13) adolescents</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" colspan="1" rowspan="1">Target gene</th><th align="left" colspan="2" rowspan="1">NCU group (<italic toggle="yes">n</italic> = 15)</th><th align="left" colspan="2" rowspan="1">CCU group (<italic toggle="yes">n</italic> = 13)</th><th align="left" colspan="4" rowspan="1">Group comparison</th></tr><tr><th align="left" colspan="1" rowspan="1"/><th align="left" colspan="1" rowspan="1"><italic toggle="yes">M</italic></th><th align="left" colspan="1" rowspan="1"><italic toggle="yes">SD</italic></th><th align="left" colspan="1" rowspan="1"><italic toggle="yes">M</italic></th><th align="left" colspan="1" rowspan="1"><italic toggle="yes">SD</italic></th><th align="left" colspan="1" rowspan="1"><italic toggle="yes">t</italic></th><th align="left" colspan="1" rowspan="1"><italic toggle="yes">df</italic></th><th align="left" colspan="1" rowspan="1"><italic toggle="yes">p</italic></th><th align="left" colspan="1" rowspan="1"><italic toggle="yes">d</italic></th></tr></thead><tbody><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">CD19</italic><sup><italic toggle="yes">1</italic></sup></td><td align="left" colspan="1" rowspan="1">1.26E-06</td><td align="left" colspan="1" rowspan="1">5.74E-07</td><td align="left" colspan="1" rowspan="1">9.11E-07</td><td align="left" colspan="1" rowspan="1">3.80E-07</td><td char="." align="char" colspan="1" rowspan="1">1.80</td><td align="left" colspan="1" rowspan="1">25</td><td align="left" colspan="1" rowspan="1">.083</td><td char="." align="char" colspan="1" rowspan="1">0.698</td></tr><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">CD8A</italic><sup><italic toggle="yes">1</italic></sup></td><td align="left" colspan="1" rowspan="1">4.33E-06</td><td align="left" colspan="1" rowspan="1">1.55E-06</td><td align="left" colspan="1" rowspan="1">4.16E-06</td><td align="left" colspan="1" rowspan="1">1.37E-06</td><td char="." align="char" colspan="1" rowspan="1">0.30</td><td align="left" colspan="1" rowspan="1">25</td><td align="left" colspan="1" rowspan="1">.769</td><td char="." align="char" colspan="1" rowspan="1">0.115</td></tr><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">CD4</italic></td><td align="left" colspan="1" rowspan="1">1.67E-05</td><td align="left" colspan="1" rowspan="1">5.78E-06</td><td align="left" colspan="1" rowspan="1">2.66E-05</td><td align="left" colspan="1" rowspan="1">2.69E-05</td><td char="." align="char" colspan="1" rowspan="1">-1.30</td><td align="left" colspan="1" rowspan="1">12.97</td><td align="left" colspan="1" rowspan="1">.215</td><td char="." align="char" colspan="1" rowspan="1">-0.529</td></tr><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">FCGR3A</italic></td><td align="left" colspan="1" rowspan="1">1.30E-06</td><td align="left" colspan="1" rowspan="1">6.68E-07</td><td align="left" colspan="1" rowspan="1">1.46E-06</td><td align="left" colspan="1" rowspan="1">8.18E-07</td><td char="." align="char" colspan="1" rowspan="1">-0.57</td><td align="left" colspan="1" rowspan="1">26</td><td align="left" colspan="1" rowspan="1">.576</td><td char="." align="char" colspan="1" rowspan="1">-0.214</td></tr><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">CD14</italic></td><td align="left" colspan="1" rowspan="1">1.21E-04</td><td align="left" colspan="1" rowspan="1">8.41E-05</td><td align="left" colspan="1" rowspan="1">2.56E-04</td><td align="left" colspan="1" rowspan="1">2.32E-04</td><td char="." align="char" colspan="1" rowspan="1">-2.00</td><td align="left" colspan="1" rowspan="1">14.73</td><td align="left" colspan="1" rowspan="1">.064</td><td char="." align="char" colspan="1" rowspan="1">-0.803</td></tr><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">FUT4</italic></td><td align="left" colspan="1" rowspan="1">3.28E-06</td><td align="left" colspan="1" rowspan="1">2.36E-06</td><td align="left" colspan="1" rowspan="1">6.43E-06</td><td align="left" colspan="1" rowspan="1">5.20E-06</td><td char="." align="char" colspan="1" rowspan="1">-2.01</td><td align="left" colspan="1" rowspan="1">16.22</td><td align="left" colspan="1" rowspan="1">.061</td><td char="." align="char" colspan="1" rowspan="1">-0.801</td></tr><tr><td align="left" colspan="1" rowspan="1"><italic toggle="yes">MPO</italic></td><td align="left" colspan="1" rowspan="1">6.57E-08</td><td align="left" colspan="1" rowspan="1">4.49E-08</td><td align="left" colspan="1" rowspan="1">1.23E-07</td><td align="left" colspan="1" rowspan="1">1.27E-07</td><td char="." align="char" colspan="1" rowspan="1">-1.54</td><td align="left" colspan="1" rowspan="1">14.60</td><td align="left" colspan="1" rowspan="1">.145</td><td char="." align="char" colspan="1" rowspan="1">-0.617</td></tr></tbody></table><table-wrap-foot><p>Due to insufficient material obtained from one <italic toggle="yes">CCU</italic> participant, analyses were performed for <italic toggle="yes">n</italic> = 13 <italic toggle="yes">CCU</italic> adolescents. <sup>1</sup>
<italic toggle="yes">n</italic> = 1 sample of the <italic toggle="yes">CCU</italic> group was identified as outlier, the respective value was excluded from analysis. <italic toggle="yes">NCU</italic> non-cannabis-using, <italic toggle="yes">CCU</italic> chronic cannabis use. Statistics: Independent <italic toggle="yes">t</italic>-tests</p></table-wrap-foot></table-wrap></p></sec></sec><sec id="Sec16"><title>Discussion</title><p id="Par36">A growing body of literature has shown that during adolescence, the developing body and brain are especially sensitive to the effects of cannabis use [<xref ref-type="bibr" rid="CR5">5</xref>]. Experimental studies further provide evidence that cannabinoids have immune-modulatory and anti-inflammatory properties; however, little literature exists regarding the effect of cannabis use on circulating immune cells, particularly in adolescents. Our exploratory study examined the association between CCU and leukocyte characteristics in an adolescent outpatient cohort with self-reported CCU, defined as at least weekly use of cannabis during the past 12 months. Since our study was conducted with a clinical sample, it is important to note that adolescent patients who abuse cannabis often concurrently smoke tobacco [<xref ref-type="bibr" rid="CR46">46</xref>]. Given this common co-occurrence, it becomes challenging to disentangle the distinct effects of cannabis and tobacco on immune markers in this cohort. To address this issue, we incorporated tobacco use as a covariate in our statistical models, thereby controlling for its potential confounding effect. Consequently, the originally observed higher proportion of granulocytes in CCU subjects was attenuated when controlling for past-year tobacco use. Furthermore, the observed differences in mean DNA methylation and gene expression of immune cell markers were not statistically significant. Importantly, the methylation-based quantification of immune cell type proportions revealed a significantly lower proportion of B cells in the CCU group. We also observed a trend to reduced gene expression of the B cell marker CD19. Although not statistically significant, a reduced expression would match the differences observed in the mean CpG site methylation levels of <italic toggle="yes">CD19,</italic> since increased methylation is commonly associated with reduced gene expression [<xref ref-type="bibr" rid="CR47">47</xref>]<italic toggle="yes">.</italic> Previous research investigating WBC counts in cannabis users has yielded mixed results: one study observed a significant decrease only in the number NK cells, but not for T and B cells as compared to controls [<xref ref-type="bibr" rid="CR37">37</xref>]. In the context of their methylome-wide association study (MWAS) investigating the effects of cannabis use on the methylome, Clark et al. [<xref ref-type="bibr" rid="CR25">25</xref>] report slightly decreased B cell levels in adolescents with problematic cannabis use compared to non-problematic users, yet equal levels of T cells, monocytes and granulocytes. El-Gohary and Eid, who analyzed leukocyte profiles of young adults using bhang (an edible form of cannabis), found decreased numbers of NK, T and B cells [<xref ref-type="bibr" rid="CR36">36</xref>]. In our study, we could not detect CCU-associated differences in the proportion of NK cells and CD4+ T cells. Still, our observation of a significant reduction in B cells, which are the central element of humoral immunity and a major component of the adaptive immune system, is in line with previous findings.</p><p id="Par37">Although differential effects of dose (low vs. high) and origin of the acting cannabinoid (endo- vs. phyto- or synthetic) on B cell proliferation (stimulation vs. inhibition) are discussed [<xref ref-type="bibr" rid="CR20">20</xref>], experimental studies investigating the effect of cannabinoids on B cells have provided evidence for enhanced apoptosis [<xref ref-type="bibr" rid="CR23">23</xref>], decreased cell proliferation and reduced antibody production (reviewed by [<xref ref-type="bibr" rid="CR20">20</xref>]) (Fig. <xref rid="Fig3" ref-type="fig">3</xref>). B cells express the highest amount of CB2 on their cell surface as compared to other leukocyte subtypes [<xref ref-type="bibr" rid="CR14">14</xref>], implying that the underlying mechanism of action may involve a CB2-mediated reduction of B-cell proliferation or survival. The levels of CB2 mRNA in peripheral blood mononuclear cells (PBMCs) of chronic cannabis users have been found to be elevated [<xref ref-type="bibr" rid="CR48">48</xref>], and CB2 mRNA levels to remain increased in PBMCs even after abstaining from cannabis for ≥ 6 months [<xref ref-type="bibr" rid="CR49">49</xref>]. Yet there is still a paucity of studies identifying B cells as direct targets of the ECS [<xref ref-type="bibr" rid="CR11">11</xref>]; cannabinoids could also act on B lymphocytes indirectly via other immune cells, such as MDSC or T cells [<xref ref-type="bibr" rid="CR23">23</xref>], and through receptors other than CB2. A potential mechanistic link is suggested by Clark et al. [<xref ref-type="bibr" rid="CR25">25</xref>]: based on their MWAS-results, they hypothesize that problematic cannabis use may alter methylation of genes relevant for DNA repair in B cells, with potential downstream effects on immune functioning. Such effects may involve impaired humoral immune responses to pathogens along with reduced vaccination-induced immunity [<xref ref-type="bibr" rid="CR15">15</xref>], yet more research is needed to elucidate the mechanisms and clinical outcome of CCU-related effects on the adaptive immune system.
<fig id="Fig3" position="float" orientation="portrait"><label>Fig. 3</label><caption><p>Schematic illustration* of hypothesized CCU effects on B cells. Studies investigating the effect of cannabinoids on B cells have provided evidence for enhanced apoptosis, decreased cell proliferation and reduced antibody production. B cells express the highest amount of CB2 on their cell surface as compared to other leukocyte subtypes, implying that the underlying mechanism of action may involve a CB2-mediated reduction of B-cell proliferation or survival. However, cannabinoids could also act on B lymphocytes indirectly via modulation of other immune cells, such as MDSC or T cells. MDSC: myeloid-derived suppressor cell; CB2: Cannabinoid receptor 2. *The Figure was partly generated using Servier Medical Art, provided by Servier, licensed under a Creative Commons Attribution 3.0 unported license, and illustrations provided by pixabay (<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://pixabay.com/de/vectors/marihuana-blatt-gr%c3%bcn-topf-cannabis-34178/">https://pixabay.com/de/vectors/marihuana-blatt-gr%c3%bcn-topf-cannabis-34178/</ext-link>)</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" id="MO3" position="float" orientation="portrait" xlink:href="12888_2024_6043_Fig3_HTML.jpg"><?image-name 12888_2024_6043_Fig3_HTML.jpg?><?image-size 65429?><?image-md5 964e470f2e857614dd303f5909baa16d?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 975?><?image-original-width 1945?><?image-scaled-height 390?><?image-scaled-width 778?><?image-cloudpmc-urn urn:cdn:blobs/6bc3/11468367/964e470f2e85/12888_2024_6043_Fig3_HTML.jpg?><?thumb-name 12888_2024_6043_Fig3_HTML.gif?><?thumb-size 4520?><?thumb-md5 94b92dffd63fe1fe484097edad5df08b?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 80?><?thumb-scaled-width 159?><?thumb-cloudpmc-urn urn:cdn:blobs/6bc3/11468367/94b92dffd63f/12888_2024_6043_Fig3_HTML.gif?></graphic></fig></p><p id="Par38">Other than B cells, granulocytes (or polymorphonuclear leukocytes) are effectors of the innate immune system. They comprise eosinophils, basophils and neutrophils, which are the most abundant subtype of circulating WBC (50–70%) and continuously generated in the bone marrow from myeloid precursors. Neutrophils are typically the first leukocytes to be recruited to injured or infected tissue, capable of eliminating pathogens by multiple mechanisms [<xref ref-type="bibr" rid="CR50">50</xref>]. Our CCU group displayed an increased proportion of circulating granulocytes, along with lower mean CpG site methylation and increased expression of <italic toggle="yes">FUT4</italic> (encoding the enzyme fucosyltransferase 4, which catalyzes the synthesis of the granulocyte marker CD15) and of <italic toggle="yes">MPO</italic>, encoding myeloperoxidase, which is released by activated neutrophils at the site of infection [<xref ref-type="bibr" rid="CR50">50</xref>]. We suggest that the low and CCU-independent <italic toggle="yes">MPO</italic> expression levels measured in our whole blood samples may arise from the fact that the neutrophil granules containing MPO are formed during their maturation in the bone marrow [<xref ref-type="bibr" rid="CR50">50</xref>].</p><p id="Par39">Our finding of an increased fraction of granulocytes in adolescents with CCU is consistent with results obtained from an adult sample of the US National Health and Nutrition Examination Survey, where a modest association between heavy cannabis use and increased WBC count, primarily elevated neutrophils, was detected [<xref ref-type="bibr" rid="CR38">38</xref>]. The author suggests that this increase may be related to the inflammatory effects of combustion by-products. This aligns with our sample, where the most common mode of cannabis use is smoking, akin to tobacco cigarette smokers who have shown elevated WBC [<xref ref-type="bibr" rid="CR51">51</xref>, <xref ref-type="bibr" rid="CR52">52</xref>]. The adolescents in our CCU group did not differ from the NCU group in terms of their physical health status, so that acute inflammation or disease can be excluded as a reason for the differences in granulocyte proportions; however, the CCU group did use significantly more tobacco than the NCU group. Although in the study by Alshaarawy [<xref ref-type="bibr" rid="CR38">38</xref>], the differences in neutrophil counts remained significant after adjustment for multiple variables, including BMI, alcohol drinking and tobacco smoking, accounting for past year tobacco use attenuated the differences in granulocyte proportions and <italic toggle="yes">FUT4</italic> / <italic toggle="yes">MPO</italic> methylation levels in our sample. Nonetheless, CBD has been shown to exert direct effects on neutrophils by inhibiting their migration to sites of infection [<xref ref-type="bibr" rid="CR53">53</xref>]. It should also be noted that chronic heavy smoking of cannabis has been associated with increased symptoms of chronic bronchitis, and CCU is suggested to have different effects on lung function than tobacco smoking [<xref ref-type="bibr" rid="CR54">54</xref>, <xref ref-type="bibr" rid="CR55">55</xref>]. To determine the effects of cannabis vs. tobacco smoking on immune cells, future studies should try to adapt their sample accordingly, e.g. by including a further group of tobacco-only smoking participants, and investigating a larger sample size, which is one of the limitations of our exploratory study.</p><sec id="Sec17"><title>Limitations</title><p id="Par40">Due to the small sample size, we did not perform further covariate and multiple testing adjustments. However, our small sample size resulted from a strict selection of the CCU cohort, since we carefully controlled for other confounding variables, such as comorbid substance use that is often neglected in studies, and we applied careful matching procedures. Besides, the composition of leukocyte subsets is usually measured by flow cytometry. However, since such measurements were not feasible with the frozen blood samples of this study, we utilized the epigenetic markers, which have proven to have high correlation with conventional blood counts [<xref ref-type="bibr" rid="CR56">56</xref>, <xref ref-type="bibr" rid="CR57">57</xref>]. We are also aware that assessing WBC proportions and the methylation / expression of selected target genes is narrow in scope with regard to the complexity of immune system components and function. Yet considering the fact that a paucity of studies investigated the effect of cannabis use on WBC in adolescents to date, we believe that our results are a valuable contribution that encourage future studies. The latter should investigate more specific leukocyte subsets, such as CD4<sup>+</sup>-CD25<sup>+</sup> regulatory T cells, and evaluate measures of immune cell functionality, e.g. enzyme activities, levels of antibodies, cytokines and further markers of inflammation. For instance, Ferguson et al. [<xref ref-type="bibr" rid="CR35">35</xref>] utilized data of the National Longitudinal Study of Adolescent to Adult Health to investigate the relationship of marijuana use and inflammation as measured by CRP levels, concluding that marijuana use does not confer an anti-inflammatory effect and recency of use is not relevant. Costello et al. [<xref ref-type="bibr" rid="CR34">34</xref>] even found support for a pro-inflammatory effect of marijuana on CRP in adolescents.</p><p id="Par41">These and our results illustrate that more studies providing a comprehensive evaluation of different immune cell types and their functions is needed to fill the current knowledge gap as to whether, how, and to what extent CCU affects immune competence in adolescent cannabis users. Moreover, future studies should consider a longitudinal design to examine intra-individual immunological changes, e.g. analyze adolescents before and after achieving abstinence from cannabis. Eventually, such data will allow to draw causal conclusions, which we cannot yet derive from our present results.</p></sec></sec><sec id="Sec18"><title>Conclusion</title><p id="Par42">The results of our explorative study suggest that CCU in adolescents is associated with altered levels of circulating WBCs, especially a lower proportion of B cells, and possibly linked to epigenetic changes. Further studies with larger sample sizes are warranted to confirm our findings and to provide insights regarding functional and clinical consequences of CCU-associated changes in immune cell profiles.</p></sec><sec id="Sec19" sec-type="supplementary-material"><title>Supplementary Information</title><p>
<supplementary-material content-type="local-data" id="MOESM1" position="float" orientation="portrait"><media xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="12888_2024_6043_MOESM1_ESM.docx" position="float" orientation="portrait"><?suppdata-name 12888_2024_6043_MOESM1_ESM.docx?><?suppdata-size 200969?><?suppdata-md5 f5c3fb77a40b6a2979fad81a984983cf?><?suppdata-image-server-status NEVER_LOAD?><?suppdata-mime-type application?><?suppdata-mime-sub-type vnd.openxmlformats-officedocument.wordprocessingml.document?><?suppdata-cloudpmc-urn urn:app:6bc3/11468367/f5c3fb77a40b/12888_2024_6043_MOESM1_ESM.docx?><caption><p>Supplementary Material 1.</p></caption></media></supplementary-material></p></sec></body><back><glossary><title>Abbreviations</title><def-list><def-item><term>CB1 / CB2</term><def><p id="Par5">Cannabinoid receptor 1 / cannabinoid receptor 2</p></def></def-item><def-item><term>CBD</term><def><p id="Par6">Cannabidiol</p></def></def-item><def-item><term>CCU</term><def><p id="Par7">Chronic cannabis use</p></def></def-item><def-item><term>CRP</term><def><p id="Par8">C-reactive protein</p></def></def-item><def-item><term>ECS</term><def><p id="Par9">Endocannabinoid system</p></def></def-item><def-item><term>MDMA</term><def><p id="Par10">3,4-Methylenedioxymethamphetamine</p></def></def-item><def-item><term>MDSC</term><def><p id="Par11">Myeloid-derived suppressor cells</p></def></def-item><def-item><term>MWAS</term><def><p id="Par12">Methylome-wide association study</p></def></def-item><def-item><term>NCU</term><def><p id="Par13">Non-cannabis-using</p></def></def-item><def-item><term>NK cells</term><def><p id="Par14">Natural killer cells</p></def></def-item><def-item><term>PBMC</term><def><p id="Par15">Peripheral blood mononuclear cell</p></def></def-item><def-item><term>SUD</term><def><p id="Par16">Substance use disorder</p></def></def-item><def-item><term>THC</term><def><p id="Par17">Trans-Δ9-tetrahydrocannabinol</p></def></def-item><def-item><term>WBC</term><def><p id="Par18">White blood cell</p></def></def-item></def-list></glossary><fn-group><fn><p><bold>Publisher’s Note</bold></p><p>Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p></fn><fn><p>Anne-Christine Plank and Melina Wiedmann contributed equally to this work and share first authorship.</p></fn></fn-group><ack><title>Acknowledgements</title><p>We would like to thank all participants for being part of this study.</p></ack><notes notes-type="author-contribution"><title>Authors’ Contributions</title><p>ACP and MW analyzed the data and wrote the manuscript. WW and JF performed DNA methylation analysis and contributed to data interpretation and discussion. JP created the Heatmaps. CI and PM performed gene expression analyses and contributed to data interpretation and discussion. VR and SKP participated in writing the manuscript and contributed to discussion. YG designed the study, participated in writing the manuscript and contributed to discussion. The authors read and approved the final manuscript.</p></notes><notes notes-type="funding-information"><title>Funding</title><p>Open Access funding enabled and organized by Projekt DEAL. This study was funded by the Sächsische Aufbaubank –Förderbank- (grant 100362999 to Yulia Golub).</p></notes><notes notes-type="data-availability"><title>Availability of data and materials</title><p>The data that support the findings of this study are not publicly available due to their containing information that could compromise the privacy of research participants, but are available from Y.G. on reasonable request.</p></notes><notes id="FPar2"><title>Ethics approval and consent to participate</title><p id="Par43">All procedures were approved by the local ethics committee of the Medical Faculty of the TU Dresden (EK 66022018) (EK 66022018) and registered at clinicaltrials.gov (<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="pmc:clinical-trial" xlink:href="NCT03444974">NCT03444974</ext-link>, registration date: 2018-02-06). All participants and their legal guardians were informed about the projects. Written informed consent was obtained from all legal guardians.</p></notes><notes id="FPar4" notes-type="COI-statement"><title>Competing interests</title><p id="Par44">The authors declare the following financial interests/personal relationships which may be considered as potential conflicts of interest: VR has received payment for consulting and writing activities from Lilly, Novartis, and Shire Pharmaceuticals, lecture honoraria from Lilly, Novartis, Shire Pharmaceuticals/Takeda, and Medice Pharma, and support for research from Shire Pharmaceuticals/Takeda and Novartis. VR has carried out or is currently carrying out clinical trials in cooperation with the Novartis, Shire Pharmaceuticals/Takeda, Servier and Otsuka companies. All cooperations were outside of the scope of the submitted work. WW is cofounder of Cygenia GmbH (www.cygenia.com), which provides service for epigenetic analysis to other scientists and was involved in this study. JF contributes to this company, too. 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