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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2026.1749275</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Glycine receptors in circulating white blood cells regulated by neuroinflammation</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Thakur</surname><given-names>Vikram</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<name><surname>Chokpapone</surname><given-names>Yathip Mindy</given-names></name>
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<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Mishra</surname><given-names>Rakshak</given-names></name>
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<name><surname>Evbuomwan</surname><given-names>Osarenoma</given-names></name>
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<contrib contrib-type="author">
<name><surname>Lopez</surname><given-names>Lizbeth</given-names></name>
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<name><surname>Guerrero</surname><given-names>Camila</given-names></name>
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<name><surname>Chavez</surname><given-names>Alexandra</given-names></name>
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<name><surname>Carrizales</surname><given-names>Ingrid</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Rodriguez</surname><given-names>Brianna J.</given-names></name>
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<name><surname>Lavezo</surname><given-names>Jonathan</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<name><surname>Rodriguez</surname><given-names>Gustavo J.</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<name><surname>Dou</surname><given-names>Huanyu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center</institution>, <city>El Paso</city>, <state>TX</state>,&#xa0;<country country="us">United States</country></aff>
<aff id="aff2"><label>2</label><institution>Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center</institution>, <city>El Paso</city>, <state>TX</state>,&#xa0;<country country="us">United States</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Pathology, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center</institution>, <city>El Paso</city>, <state>TX</state>,&#xa0;<country country="us">United States</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Neurology, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center</institution>, <city>El Paso</city>, <state>TX</state>,&#xa0;<country country="us">United States</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Huanyu Dou, <email xlink:href="mailto:huanyu.dou@ttuhsc.edu">huanyu.dou@ttuhsc.edu</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-23">
<day>23</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1749275</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>20</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Thakur, Chokpapone, Mishra, Evbuomwan, Lopez, Guerrero, Chavez, Carrizales, Rodriguez, Lavezo, Rodriguez and Dou.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Thakur, Chokpapone, Mishra, Evbuomwan, Lopez, Guerrero, Chavez, Carrizales, Rodriguez, Lavezo, Rodriguez and Dou</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-23">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Neuroinflammation is involved in a wide range of neurological disorders, yet the lack of minimally invasive biomarkers hampers early diagnosis and therapeutic monitoring. Glycine receptors (GlyRs), classically known as inhibitory neurotransmitter receptors in the central nervous system, are increasingly recognized as regulators of immune signaling. Here, we identify GlyRs as novel peripheral indicators of neuroinflammation.</p>
</sec>
<sec>
<title>Methods and results</title>
<p>We demonstrate that GlyR&#x3b1;1, &#x3b1;2, and &#x3b1;3 subunits are constitutively expressed in human and murine immune cells, with GlyR&#x3b1;2 predominating across peripheral tissues and the brain. Using ex vivo and <italic>in vivo</italic> mouse models, we found that the expression of GlyR&#x3b1;1, &#x3b1;2, and &#x3b1;3 in macrophages and circulating white blood cells (WBCs) was not directly mediated by inflammatory cytokine signaling in the brain or WBCs. Neuroinflammation upregulates GlyR&#x3b1;1 and &#x3b1;3 expression in the brain, spleen, bone marrow, and circulating WBCs. Immunostaining revealed GlyR&#x3b1;3 to the membrane and GlyR&#x3b1;1/2 to both the membrane and cytoplasm of WBCs. GlyR expression was also observed in the bone marrow, the spleen (macrophage-rich red pulp), and the neurons. Notably, GlyR&#x3b1;1 and &#x3b1;3 expression in WBCs was significantly elevated in neuroinflammation compared to control and systemic inflammation models. Changes in GlyR expression were not correlated with the expression of pro-inflammatory cytokines in the brain and WBCs. LPS-induced microglial (Iba1<sup>+</sup>) activation paralleled the upregulation of WBC GlyR, suggesting a reciprocal modulation between central and peripheral compartments.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Together, these findings define a brain-glycinergic signaling-blood axis that maintains homeostatic protectivity. GlyR subunits, particularly GlyR&#x3b1;1 and &#x3b1;3, represent a neuropathology-induced modulation of GlyR signaling in peripheral immune cells.</p>
</sec>
</abstract>
<kwd-group>
<kwd>blood biomarker</kwd>
<kwd>brain-GlyR-WBCs communication axis</kwd>
<kwd>neuroinflammation</kwd>
<kwd>non-neuronal GlyR</kwd>
<kwd>regulation of WBC GlyR expression</kwd>
</kwd-group>
<funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>Cancer Prevention and Research Institute of Texas</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/100004917</institution-id>
</institution-wrap>
</funding-source>
</award-group>
<award-group id="gs2">
<funding-source id="sp2">
<institution-wrap>
<institution>National Institutes of Health</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/100000002</institution-id>
</institution-wrap>
</funding-source>
</award-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. A CPRIT grant of RP230420, an NIH grant 5R01DK117383-05, Funding from the Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, and the L. Frederick Francis Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center at El Paso supported this study.</funding-statement>
</funding-group>
<counts>
<fig-count count="8"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="47"/>
<page-count count="16"/>
<word-count count="8075"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Inflammation</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Inflammation is a primary biological immune response to infection, cellular stress, or injury, involving a complex interaction among immune cells, cytokines, and signaling pathways. Although vital for host defense and tissue repair, dysregulated inflammation can lead to various pathological conditions, including cancer, autoimmune disorders, and neurodegenerative diseases. The inflammation of the central nervous system (CNS), known as neuroinflammation, is a hallmark of many neurological disorders, including stroke, Alzheimer&#x2019;s disease, multiple sclerosis, Parkinson&#x2019;s disease, and traumatic brain injury (TBI) (<xref ref-type="bibr" rid="B1">1</xref>). Neuroinflammation involves the activation of resident macrophages (microglia) and astrocytes, infiltration of immune cells, and the release of inflammatory mediators that disrupt neural functions. The systemic pathology of neuroinflammation remains poorly defined.</p>
<p>Glycine receptors (GlyRs) are pentameric proteins belonging to the Cys-loop family of ligand-gated ion channels composed of &#x3b1; and &#x3b2; subunits, primarily expressed in the brainstem and spinal cord, and mediate fast inhibitory neurotransmission by facilitating chloride ion influx, thereby regulating neuronal excitability (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Classically, glycinergic signaling is crucial in motor control, respiratory rhythm, sensory processing, and muscle tone both in health and disease. GlyRs play a complex, dual role in inflammation (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). In neurons, GlyRs primarily mediate inhibitory neurotransmission. However, glycinergic signaling triggers immunomodulation in immune cells (<xref ref-type="bibr" rid="B6">6</xref>). Blocking GlyRs reduces neuroinflammation, opening new pathways for crosstalk between the brain and immune system (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>GlyRs have recently attracted attention for their broader roles in transmitting pain signals (<xref ref-type="bibr" rid="B8">8</xref>) and in modulating neuro-immune interactions and inflammatory signaling within the CNS (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Given their clinical relevance, GlyRs are considered critical targets for managing chronic pain and inflammation by modulating glycinergic neurotransmission. The GlyR&#x3b1;3 subunit has emerged as a key player in the inflammatory pain pathways of the spinal cord dorsal horn (<xref ref-type="bibr" rid="B11">11</xref>). A higher density of the GlyR&#x3b1;3 subtype in the spinal dorsal horn correlates with the sensation of central inflammatory pain. Evidence also suggests that the GlyR&#x3b1;1 subtype within the spinal dorsal horn can be targeted to manage pain by inhibiting GlyR potentiation (<xref ref-type="bibr" rid="B12">12</xref>). Disruption of the inhibitory control of the glycinergic system leads to chronic inflammatory pain, highlighting the need for further research into the roles of &#x3b2; and &#x3b1;2 subunits in disinhibiting this system (<xref ref-type="bibr" rid="B13">13</xref>). Chronic inflammatory pain is triggered by glycinergic disinhibition of the spinal cord, involving synaptic &#x3b1;3&#x3b2; and GlyR&#x3b1;1&#x3b2; phosphorylation. Interneurons expressing PKC&#x3b3; play a crucial role in pain circuits. About 80% of the inhibitory synapses of these interneurons contain GlyR&#x3b1;1 along with a &#x3b3;-aminobutyric acid (GABA) receptor subtype (<xref ref-type="bibr" rid="B14">14</xref>), which could be explored as a potential pharmacological target. GlyRs may influence inflammatory responses by affecting cell activation, cytokine production, and intracellular ion homeostasis (<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>). Inflammatory cytokines, such as IL-1&#x3b2;, impact GlyR activity by inhibiting chloride currents (<xref ref-type="bibr" rid="B18">18</xref>), thereby modulating pain perception. Neurological conditions, such as stroke-induced injury, cause a decrease in GlyR&#x3b1;2; however, vascular endothelial growth factor/signal transducer and activator of transcription 3 (VEGF/pSTAT3) signaling can reverse GlyR&#x3b1;2 inhibition via glycine and protect the neurovascular supply (<xref ref-type="bibr" rid="B19">19</xref>). There are differences between GlyRs in adults and embryos. In the developing brain, GlyRs are present throughout, but in adulthood, they are limited to certain areas, including the retina and spinal cord. During early development, GlyRs are expressed in migratory neurons and dorsal progenitors (<xref ref-type="bibr" rid="B20">20</xref>). Additionally, the expression of these receptors varies by sex, with male mice showing higher overall GlyR&#x3b1;3 expression than female mice (<xref ref-type="bibr" rid="B21">21</xref>). Most studies on the role of GlyRs in inflammation and pain have been conducted within the CNS, highlighting an opportunity to explore their functions beyond the CNS.</p>
<p>New evidence indicates that GlyRs are also present in non-neuronal cells, including immune cells such as macrophages, microglia, and T lymphocytes (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Retinal ganglion cells (RGCs) in the mammalian retina display the presence of both GlyR&#x3b1;1 and GABA&#x3b1;3 receptors at the synapse, and early GABA expression is crucial for GlyR recruitment (<xref ref-type="bibr" rid="B22">22</xref>). Therefore, their presence in immune cells and their ability to regulate immune signaling pathways suggest an intriguing, underexplored role in systemic and neuroinflammation. Given GlyRs&#x2019; dual presence in the CNS and peripheral tissues, GlyRs may act as a bridge between neuroinflammatory events and observable changes in the peripheral immune system. In this study, we studied how non-neuronal GlyRs were regulated by the neuronal systemic and neuronal inflammatory mouse models with lipopolysaccharide (LPS). The neuroinflammation model was developed by intracranial injection of LPS. The systemic inflammation produced by intraperitoneal injection of LPS, which activates toll-like receptor 4 (TLR4) to release pro-inflammatory cytokines into the circulation, leading to systemic inflammatory responses (<xref ref-type="bibr" rid="B23">23</xref>). We investigated GlyR expression in peripheral tissues and WBCs to explore crosstalk between neuropathogenesis and systemic immune responses, potentially identifying a circulating WBC-based indicator of neuroinflammation. By comparing neuronal and systemic inflammation-induced GlyR expression profiles both <italic>in vivo</italic> and <italic>in vitro</italic>, we identified greater changes in non-neuronal GlyR expression under neuroinflammatory conditions. Our findings could lay the groundwork for creating a new brain-immune communication axis through GlyRs.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Animal model and experimental procedure</title>
<p>Both male (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figures&#xa0;1A&#x2013;D</bold></xref>) and female mice were initially used to develop systemic and neuronal inflammatory models. No significant sex-dependent differences in GlyR expression were observed. This study was conducted on adult C57BL/6J mice (female, 5&#x2013;8 weeks old, weighing 20&#x2013;25 grams) after approval from the Institutional Animal Care and Use Committee (IACUC, protocol no. 11026/23002). The mice were housed in plastic cages under a 12-hour light/dark cycle, at 22 &#xb1; 2 &#xb0;C and 50 &#xb1; 10% humidity, with free access to a pellet diet and water. All experimental procedures and animal welfare protocols were carried out in accordance with the Ethical Regulations on the Care and Use of Laboratory Animals at Texas Tech University Health Sciences Center, El Paso, and were approved by the IACUC committee for animal experiments.</p>
</sec>
<sec id="s2_2">
<title>Systemic inflammatory mouse model</title>
<p>Systemic inflammation in C57BL/6J mice (n=4&#x2013;6 mice) was induced by intraperitoneal (i.p.) injection of lipopolysaccharide (<italic>LPS, #L2755; Sigma-Aldrich</italic>) at a dose of 5 mg/kg body weight, freshly prepared in sterile phosphate-buffered saline (PBS). 2 and 5 days post-LPS injection, animals were euthanized with an i.p. injection of a ketamine-xylazine cocktail (100/16 mg/kg) following the American Veterinary Medical Association (AVMA) guidelines. Adequate anesthesia was confirmed by the absence of a withdrawal reflex to firm hind paw pressure. Blood samples were collected from the heart (cardiac puncture) in sterile EDTA vacutainers (Greiner, USA) to avoid clotting. Post cessation of breathing and heartbeat, cervical dislocation was done to ensure death. The brain, spleen, and bone marrow were rapidly removed, snap-frozen in dry ice, collected in sterile PBS (BM) on ice, and stored at -80 &#xb0;C until further processing.</p>
</sec>
<sec id="s2_3">
<title>Neuroinflammation mouse model</title>
<p>To develop a neuroinflammatory mouse model, mice were anesthetized with an i.p. injection of 100 mg/kg ketamine and 16 mg/kg xylazine. The mice&#x2019;s toe pinch reflex was used to ensure the appropriate anesthesia. Each mice were injected with a stereotactic intracortical injection of LPS (12&#xb5;g/5&#xb5;l) into the left hemisphere of the brain (n=4&#x2013;6 mice) for 2 and 5 days. In both cohorts, the mice had not received any treatment for inflammation. Post-surgery, the mice were monitored for sickness behavior and recovery. At the beginning of the experiment (day 0), following the AVMA guidelines, healthy mice (n=4-6) were sacrificed as controls. At the endpoint, mice were euthanized with an i.p. injection of a ketamine-xylazine cocktail (100/16 mg/kg), and the toe pinch reflex was used to confirm the deep anesthesia. A 25-30g needle on a 1ml syringe was inserted into the heart for blood collection. After blood collection, mice were verified as having no heartbeat and no breathing, and cervical dislocation was then performed to confirm death. The brain, spleen, and bone marrow were collected to study GlyRs and cytokine response.</p>
</sec>
<sec id="s2_4">
<title>WBCs isolation</title>
<p>To prevent blood from clotting, heparin or EDTA-coated tubes were used to collect blood. The blood samples were treated with 10 mL red blood cell (RBC) lysis buffer and incubated for 5 min at room temperature. The cells were centrifuged at 300xg for 5 min., followed by two washes with cold PBS at 500xg for 5 min at 4 &#xb0;C. The supernatant was aspirated, and then the WBCs were collected as a cell suspension for qRT-PCR and immunostaining.</p>
</sec>
<sec id="s2_5">
<title>Human blood WBCs</title>
<p>Human PBMCs and CD14+ monocytes were purchased directly from BioIVT (HUMANCD14-0107684, HUMANPBMC-0002132, Westbury, NY, USA). These PBMCs and CD14+ monocytes from healthy individuals were used to perform RNA extraction for gene expression and immunofluorescence for GlyRs localization studies.</p>
</sec>
<sec id="s2_6">
<title>Bone marrow cell isolation and LPS stimulation</title>
<p>To isolate the bone marrow from CB57L/6 mice, the surrounding musculature was excised to access the mouse femur. The proximal end of the femur, as well as just beyond its distal end, was cut to ensure complete removal. The femur was then placed in cold PBS to reduce and prevent cell death. Within a BSL-2 hood, residual tissue on the femur was removed. Surgical scissors were used to cut the distal and proximal ends of the femur, allowing access to the bone marrow in the central part of the bone. A 20-gauge needle was used to inject cold PBS through the femur to dislodge the bone marrow onto a sterile petri dish. The bone marrow was filtered through a 40 &#x3bc;m nylon mesh filter into a 50 mL Falcon tube, with the syringe&#x2019;s rubber stopper used to homogenize the marrow through the filter. The filtered bone marrow suspension was centrifuged at 500&#xd7;g for 5 minutes, and the PBS was then removed. To the sterile bone marrow cell pellet, 200 &#xb5;L of RBC lysis buffer was added and incubated for 5 minutes. After centrifugation, the RBC lysis buffer was discarded, and the cell pellet was collected.</p>
<p>Mouse bone marrow cells were cultured in a medium containing DMEM with glutamine, a mixture of penicillin and streptomycin antibiotics, 10% fetal bovine serum (FBS), and 10% macrophage-colony-stimulating factor (M-CSF) to differentiate into bone marrow macrophages (BMMs). These cells were grown in a 6-well plate, on coverslips with or without LPS treatment.</p>
</sec>
<sec id="s2_7">
<title>Quantitative real-time PCR</title>
<p>Total RNA was extracted from blood, bone marrow cells, brain, and spleen tissues using the TRIzol (#15596018, Thermo Scientific, USA) method following the manufacturer&#x2019;s instructions. The extracted RNA was quantified and checked for purity with a NanoDrop 2000 spectrophotometer (Thermo Scientific, USA). An equal amount, specifically 2 &#xb5;g of RNA from each sample, was used for cDNA synthesis with the high-capacity cDNA reverse transcription kit (#4368814, Thermo Scientific, USA). Mice and human-specific primers targeting different GlyRs, including GlyR&#x3b1;-1, GlyR&#x3b1;-2, GlyR&#x3b1;-3, and housekeeping genes &#x3b2;-actin and beta2-microglobulin (B2M) (Sigma Aldrich, USA), were used (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Sequences of the primers used for gene expression analysis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Gene</th>
<th valign="middle" align="left">Forward primer (5&#x2019;-3&#x2019;)</th>
<th valign="middle" align="left">Reverse primer (5&#x2019;-3&#x2019;)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left"><italic>M1_GlyR&#x3b1;-1</italic></td>
<td valign="middle" align="left">AGAAAGACCTGAGATACTGC</td>
<td valign="middle" align="left">ATGTACATCTGGATCAGGTAG</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>M2_GlyR&#x3b1;-2</italic></td>
<td valign="middle" align="left">CAAAGGTCTCCTATGTGAAAG</td>
<td valign="middle" align="left">TCTTCTTCCTTATTCTGCCTC</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>M1_GlyR&#x3b1;-3</italic></td>
<td valign="middle" align="left">CCTCCTTTTTGTGTTCTCAG</td>
<td valign="middle" align="left">AGCTTCCGTCTTATTCTTTC</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>M2_GlyR&#x3b1;-3</italic></td>
<td valign="middle" align="left">AATAAGACGGAAGCTTTTGC</td>
<td valign="middle" align="left">CATTTCATCAGGGCTCTTTG</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>M3_GlyR&#x3b1;-3</italic></td>
<td valign="middle" align="left">ACTTACTATGACCACACAGAG</td>
<td valign="middle" align="left">CCGTCTTATTCTTTCTCTTTCG</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>M_&#x3b2;-actin</italic></td>
<td valign="middle" align="left">AGAAGCTGTGCTATGTTGCTCTA</td>
<td valign="middle" align="left">TCAGGCAGCTCATAGCTCTTC</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>M1_gapdh</italic></td>
<td valign="middle" align="left">CTAATGACCACAGTCCATTC</td>
<td valign="middle" align="left">GATGGGATGATGTTTTGGTG</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>M2_gapdh</italic></td>
<td valign="middle" align="left">GACTATAACCCTGGCTCTATG</td>
<td valign="middle" align="left">GAATGGACTGTGGTCATTAG</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>H2_GlyR&#x3b1;-1</italic></td>
<td valign="middle" align="left">TGGACTATAGGGTCAACATC</td>
<td valign="middle" align="left">GTCGTCAGGGTATTCATTATAG</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>H2_GlyR&#x3b1;-2</italic></td>
<td valign="middle" align="left">AGGTCTCCTATGTAAAAGCG</td>
<td valign="middle" align="left">TCCTTATTCTGCCTCTTCTG</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>H1_GlyR&#x3b1;-3</italic></td>
<td valign="middle" align="left">CCTCCTTTTTGTGTTTTCAG</td>
<td valign="middle" align="left">TACCTCATCATCCATATCTGAG</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>H_B2M</italic></td>
<td valign="middle" align="left">AAGGACTGGTCTTTCTATCTC</td>
<td valign="middle" align="left">GATCCCACTTAACTATCTTGG</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>H2_GAPDH</italic></td>
<td valign="middle" align="left">CTTTTGCGTCGCCAG</td>
<td valign="middle" align="left">TTGATGGCAACAATATCCAC</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Gene expression was determined in a 10&#xb5;l reaction volume using 5&#xb5;l of SYBR Green Master mix (1X) (<italic>#KR0389, Kapa Biosystems, South Africa</italic>), 0.5&#xb5;l each of forward and reverse primer (10 &#xb5;M), 3&#xb5;l nuclease-free water, and 1&#xb5;l cDNA. Roche Light Cycler 96 (<italic>Roche, USA</italic>) was used to run the reaction with the following thermal profile: pre-incubation at 95&#xb0;C for 3 sec., followed by 43 cycles of amplification (denaturation at 95&#xb0;C for 10 sec., primer annealing at 60&#xb0;C for 1 min., and extension at 72&#xb0;C for 2 sec.) with default acquisition at 72&#xb0;C. Finally, the gene expression was calculated using the 2<sup>^-&#x394;&#x394;Ct</sup> as relative fold change.</p>
</sec>
<sec id="s2_8">
<title>Immunofluorescence</title>
<p>The freshly isolated WBCs, BM, splenic cells, and macrophages were fixed in 4% paraformaldehyde (PFA) on a slide and left to dry at room temperature. The snap-frozen brain and spleen tissues were embedded in cryomolds (Tissue-Tek, USA) using optimal cutting temperature (OCT) compound (Tissue-Tek, USA) and stored at -80&#xb0;C. For each brain and spleen tissue, 5&#xb5;m-thick sections were cut using a cryostat (Leica CM3050S, USA) set at -20&#xb0;C. The tissue sections on slides were fixed with a 1:1 ratio of acetone and ethanol (-20&#xb0;C).</p>
<p>The slides were rinsed with PBS, followed by permeabilization using 0.1% Triton. After blocking with 5% normal goat serum (NGS) for 1 hour, the slides and coverslips were stained with primary antibodies targeting human and mouse GlyR&#x3b1;1 (1:500, #NB300-113, Novus Bio, Littleton, CO), GlyR&#x3b1;3 (1:100, #75-417, Neuromab, UC Davis/NIH), CD11b (1:100, #Sc-1186, Santa Cruz Biotechnology), CD-68 (1:100, #Sc-20060, Santa Cruz Biotechnology), and Iba1 (1:400, #MABN92, Millipore Sigma) (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>) overnight at 4&#xb0;C. After incubation, the slides were washed three times with PBS for 5 minutes each, then incubated with appropriate secondary antibodies, i.e., Alexa Fluor 488 (1:200) and/or 594 (1:200) (Thermo-Fisher Scientific) for 1 hour at room temperature. A DAPI mounting agent (#AB104139, Santa Cruz Biotechnology) was used for nuclear staining and mounting. Finally, immunofluorescence images were captured using a fluorescent microscope.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Antibodies used for immunostaining.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Antibody</th>
<th valign="middle" align="center">Make/company</th>
<th valign="middle" align="center">Dilution used</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">GlyR&#x3b1;-1/2 (anti-rabbit)</td>
<td valign="middle" align="left">NovusBio, Littleton, CO, #NB300-113</td>
<td valign="middle" align="center">1:500</td>
</tr>
<tr>
<td valign="middle" align="left">GlyR&#x3b1;-3 (anti-mice)</td>
<td valign="middle" align="left">Neuromab, UC Davis/NIH, #75-417</td>
<td valign="middle" align="center">1:100</td>
</tr>
<tr>
<td valign="middle" align="left">CD11b (anti-rat)</td>
<td valign="middle" align="left">Santa Cruz Biotechnology, #Sc-1186</td>
<td valign="middle" align="center">1:00</td>
</tr>
<tr>
<td valign="middle" align="left">CD68 (anti-rat)</td>
<td valign="middle" align="left">Santa Cruz Biotechnology, #Sc-20060</td>
<td valign="middle" align="center">1:100</td>
</tr>
<tr>
<td valign="middle" align="left">Iba1 (anti-mice)</td>
<td valign="middle" align="left">Millipore Sigma, #MABN92</td>
<td valign="middle" align="center">1:500</td>
</tr>
<tr>
<td valign="middle" align="left">Alexa Fluor 488</td>
<td valign="middle" align="left">Thermo-Fisher Scientific</td>
<td valign="middle" align="center">1:200</td>
</tr>
<tr>
<td valign="middle" align="left">Alexa flour 594</td>
<td valign="middle" align="left">Thermo-Fisher Scientific</td>
<td valign="middle" align="center">1:200</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_9">
<title>Fluorescent microscopy</title>
<p>Changes in the expression and localization of GlyR&#x3b1; subunits in WBCs, BMMs, spleen, and brain tissues were observed by imaging with a Nikon Ti-Eclipse microscope (Nikon Instruments Inc., Melville, NY). The 60x magnification lens with oil immersion was set for higher resolving power in the microscope. The NS Elements AR program was utilized to image the slides. Images were analyzed in ImageJ, processed in Adobe Photoshop, and compiled in Illustrator for publication.</p>
</sec>
<sec id="s2_10">
<title>Statistical analysis</title>
<p>GraphPad Prism (version 7.0, GraphPad Software Inc., USA) was used for data analysis. For comparisons between two groups, an unpaired two-tailed Student&#x2019;s t-test was applied. Multiple group comparisons were performed using one-way or two-way analysis of variance (ANOVA), followed by Tukey&#x2019;s <italic>post hoc</italic> analysis. The data were presented as mean &#xb1; S.E.M. Fold change in gene expression was calculated using the 2<sup>^-&#x394;&#x394;Ct</sup> method with control samples normalized to 1. All the experiments were repeated 2&#x2013;3 times in duplicates. Statistical significance was defined as p&lt;0.05.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Expression of GlyRs in human WBCs</title>
<p>Although GlyRs are extensively characterized and studied in the brain and spinal cord, their expression and functional significance in circulating immune cells remain largely unexplored. We investigated and provided evidence that human circulating white blood cells (WBCs), specifically peripheral blood mononuclear cells (PBMCs) and CD14+ monocytes, express transcripts and proteins corresponding to different GlyR&#x3b1;1, &#x3b1;2, and &#x3b1;3 subunits. A qRT-PCR assay was used to detect the gene expression of GlyR &#x3b1;1, &#x3b1;2, and &#x3b1;3 subunits in PBMCs and CD14+ monocytes collected from healthy individuals. Among these, GlyR&#x3b1;1 (0.77 &#xb1; 0.01 and 0.84 &#xb1; 0.01) and GlyR&#x3b1;2 (0.56 &#xb1; 0.01 and 0.56 &#xb1; 0.01) subunits showed the highest expression in PBMCs and CD14+ monocytes, respectively, whereas GlyR&#x3b1;3 was expressed at lower levels (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1A</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Identification and localization of GlyR&#x3b1; subunits in human PBMCs and CD14+ monocytes. <bold>(A)</bold> Relative mRNA expression of GlyR&#x3b1;1, &#x3b1;2, and &#x3b1;3 in CD14+ monocytes (white bars) and PBMCs (gray bars), normalized to &#x3b2;2-microglobulin housekeeping gene. GlyR&#x3b1;1 showed the highest expression, followed by GlyR&#x3b1;2 and &#x3b1;3. Data are presented as mean &#xb1; SEM <bold>(B)</bold> Quantification of PBMCs expressing 55.21 &#xb1; 2.8% of GlyR&#x3b1;1/2+ cells and 46.87 &#xb1; 3.4% of GlyR&#x3b1;3+ cells, with 43.12 &#xb1; 2.2% of GlyR&#x3b1;1/2+/GlyR&#x3b1;3+ PBMCs. GlyR&#x3b1;1/2+ cells were significantly more numerous than dual-positive cells (p=0.015*). Statistical significance was assessed using one-way ANOVA; bars depict mean &#xb1; SEM; *p&lt;0.05. <bold>(C)</bold> Representative immunofluorescence images of PBMCs showing GlyR&#x3b1;1/2 (red), GlyR&#x3b1;3 (green), and nuclei stained with DAPI (blue, arrowhead). The merged panel shows the co-localization of GlyR&#x3b1;1/2 and GlyR&#x3b1;3, with a few cells negative for GlyRs.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1749275-g001.tif">
<alt-text content-type="machine-generated">Panel A presents three bar graphs comparing normalized expression of GlyR&#x3b1;1, GlyR&#x3b1;2, and GlyR&#x3b1;3 between CD14+ cells (white bars) and PBMCs (gray bars), with individual data points shown. Panel B displays a bar graph quantifying the percentage of GlyR&#x3b1;1/2+, GlyR&#x3b1;3+, and GlyR&#x3b1;1/2+3+ populations, highlighting a significant difference with an asterisk. Panel C shows three immunofluorescent images: red for GlyR&#x3b1;1/2, green for GlyR&#x3b1;3, and a merged image, with arrows pointing to positive PBMCs and nuclei stained blue.</alt-text>
</graphic></fig>
<p>Next, protein expression of GlyR was detected in human PBMCs, immunostaining with antibodies against GlyR&#x3b1;1/2 (<italic>red</italic>) and GlyR&#x3b1;3 (<italic>green</italic>). Nuclear DNA was stained with DAPI (<italic>blue</italic>). Quantitative images revealed 55.21 &#xb1; 2.8% of GlyR&#x3b1;1/2+ cells and 46.87 &#xb1; 3.4% of GlyR&#x3b1;3+ cells with 43.12 &#xb1; 2.2% of GlyR&#x3b1;1/2+/GlyR&#x3b1;3+ CD14+ monocytes (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1B</bold></xref>). Immunofluorescence results indicated that GlyR&#x3b1;1/2 (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1C</bold></xref>, red) and GlyR&#x3b1;3 (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1C</bold></xref>, green) are present both in the cytoplasm (16.45% and 7.59%) and on the membrane (73.41% and 49.36%) of PBMCs, respectively. Additionally, the merged image exhibited the co-expression of GlyR&#x3b1;1/2 and GlyR&#x3b1;3. The cellular distribution of GlyR&#x3b1;1/2 and GlyR&#x3b1;3 suggested possibilities of receptor assembly and localization, similar to neuronal GlyRs.</p>
</sec>
<sec id="s3_2">
<title>Identification of GlyRs in the mouse CNS and peripheral immune system</title>
<p>After examining GlyR expression in human WBCs, we were interested in assessing the gene expression levels of GlyR&#x3b1;1, &#x3b1;2, and &#x3b1;3 in the mouse brain (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>) using qRT-PCR. GlyR&#x3b1;2 showed a statistically significant higher expression (0.019 &#xb1; 0.003, p&lt;0.01**), followed by GlyR&#x3b1;3 (0.003 &#xb1; 0.0002, p&lt;0.01**) and GlyR&#x3b1;1 (0.0005 &#xb1; 5.446e-005, p&lt;0.01**). Immunostaining of brain sections showed co-expression of GlyR&#x3b1;1/2 (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>, red) and GlyR&#x3b1;3 (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>, green) mainly within neurons of the hippocampus (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Identification of GlyR&#x3b1; subunits in mouse brain, spleen, bone marrow, and blood. Normalized mRNA expression levels of GlyR&#x3b1;1, &#x3b1;2, and &#x3b1;3 in mouse brain <bold>(A)</bold>, spleen <bold>(C)</bold>, bone marrow (BM; <bold>E</bold>), and blood <bold>(G)</bold> show the highest expression of GlyR&#x3b1;2, followed by GlyR&#x3b1;3 and &#x3b1;1. Statistical significance was determined using one-way ANOVA followed by Tukey&#x2019;s <italic>post hoc</italic> test. Data are shown as mean &#xb1; SEM; p&lt;0.01** (n=4-6 mice per group). <bold>(B)</bold> Representative immunofluorescence images of brain sections stained for GlyR&#x3b1;1/2 (<italic>red</italic>), GlyR&#x3b1;3 (<italic>green</italic>), and nuclei (DAPI, <italic>blue</italic>). GlyR&#x3b1;1/2 and &#x3b1;3 signals show co-expression within neurons of the hippocampus. <bold>(D)</bold> Spleen sections display strong GlyR&#x3b1;1/2 (red) staining in both red (arrow) and white pulps (arrow head), whereas GlyR&#x3b1;3 (green) staining is localized to the macrophage zone of red pulp. <bold>(F, H)</bold> Immunostaining of BM and WBCs shows strong membrane expression of GlyR&#x3b1;1/2 and &#x3b1;3. GlyR&#x3b1;3 staining marks distinct cell populations distributed in the cytoplasm and membrane. The merged image shows GlyR&#x3b1;1/2 and &#x3b1;3 co-localization, indicating heterogeneity in receptor subunit expression among different cell BM and WBC subsets.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1749275-g002.tif">
<alt-text content-type="machine-generated">Composite figure with four panels (A, C, E, G) showing bar graphs of normalized expression for GlyR&#x3b1;1, GlyR&#x3b1;2, and GlyR&#x3b1;3 in brain, spleen, bone marrow (BM), and blood with significant differences marked by asterisks; four sets of fluorescence images (B, D, F, H) for each tissue show GlyR&#x3b1;1/2 in red, GlyR&#x3b1;3 in green, and DAPI nuclear stain in blue, with merged images, and arrows in D highlighting specific regions.</alt-text>
</graphic></fig>
<p>Next, we detected the expression of GlyRs in the peripheral organ spleen, where GlyR&#x3b1;2 remained dominant (0.05 &#xb1; 0.006, p&lt;0.001**), followed by GlyR&#x3b1;3 (0.001 &#xb1; 0.0003) and GlyR&#x3b1;1 (8e-005 &#xb1; 2.069e-005) expression (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2C</bold></xref>). Immunostaining of spleen tissue showed strong GlyR&#x3b1;1/2 expression (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2D</bold></xref>, red) in both red (<italic>arrow</italic>) and white pulps (<italic>arrow head</italic>), whereas GlyR&#x3b1;3 localized to the macrophage zone of red pulp (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2D</bold></xref>, green, arrow).</p>
<p>Circulating WBCs and bone marrow cells (BM) were also analyzed for identifying GlyR&#x3b1; expression. BM cells and WBCs showed dominance of GlyR&#x3b1;2 expression, followed by GlyR&#x3b1;3 and GlyR&#x3b1;1 (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2E, G</bold></xref>). Immunostaining revealed that GlyR&#x3b1;1/2+ (<italic>red</italic>) and GlyR&#x3b1;3+ (<italic>green</italic>) were more dominantly expressed on the membrane, with less expression in the cytoplasm of BM and WBCs (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2F, H</bold></xref>). This is in accordance with the study of <italic>Eynden et&#xa0;al.</italic> (<xref ref-type="bibr" rid="B24">24</xref>). The results show that BM and WBCs express the GlyR&#x3b1; subunits, albeit at different baseline levels.</p>
</sec>
<sec id="s3_3">
<title>Inflammation regulates GlyR expression in monocytes/macrophages</title>
<p>Inflammation-regulated dynamic changes in GlyR expression were analyzed using the LPS-induced inflammatory macrophages model. Firstly, monocytes/macrophages were treated with LPS, and then they were examined using an immunofluorescence assay (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3A</bold></xref>). Monocytes showed LPS-dose-dependent significant fold increase in IL-1&#x3b2; and TNF&#x3b1; with a decrease in IL-2 expression (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3B</bold></xref>). In CD11b+ monocytes and neutrophils, stronger co-expression with GlyR&#x3b1;1/2 (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3C</bold></xref>) and GlyR&#x3b1;3 (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3D</bold></xref>) was observed in LPS-treated monocytes compared to the control. LPS-activated monocytes exhibited greater expression of CD68 in parallel to an increase of GlyR&#x3b1;1/2 (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3E</bold></xref>) and GlyR&#x3b1;-3 (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3F</bold></xref>). The modification of GlyR expression at protein levels suggests that GlyRs may play a functional role in innate immunity.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>GlyR&#x3b1; subunit response to LPS-treated monocytes and neutrophils <bold>(A)</bold> Experimental workflow showing BM cells from C57BL/6 mice were differentiated into macrophages (BMMs), treated with LPS (50 and 100 ng/mL), and analyzed by qRT-PCR and immunofluorescence. <bold>(B)</bold> LPS-induced dose-dependent increases in IL-1&#x3b2; and TNF&#x3b1; expression with IL-2 downregulation, confirming macrophage activation. Data was calculated using the 2<sup>^-&#x394;&#x394;Ct</sup> method (mean &#xb1; SEM) and analyzed using one-way ANOVA (*p&lt;0.05, **p&lt;0.01, and ***p&lt;0.001). <bold>(C, D)</bold> Representative immunofluorescence images showing expression and co-localization of GlyR&#x3b1;1/2 and 3 (<italic>red</italic>) with CD11b+ monocytes/neutrophils (<italic>green</italic>). The enhanced GlyR&#x3b1;1/2 and &#x3b1;3 immunoreactivity in LPS-treated CD11b+ cells indicates activation-dependent upregulation. <bold>(E, F)</bold> Representative immunofluorescence images showing staining and colocalization of the macrophage marker CD68 (<italic>green</italic>) with GlyR&#x3b1;1/2 <bold>(E)</bold> and &#x3b1;3 (<bold>F</bold>, <italic>red</italic>) in control and LPS-treated BMMs. During inflammation, a noticeable increase in GlyR&#x3b1;1/2 and &#x3b1;3 fluorescence intensity was observed at the cell periphery, co-localizing with CD68, indicating possible increased receptor surface accumulation or transcriptional upregulation upon activation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1749275-g003.tif">
<alt-text content-type="machine-generated">Panel A shows a schematic of the experimental workflow using C57b mice bone marrow cells treated with LPS, followed by RT-PCR and immunofluorescence analysis. Panel B presents bar graphs quantifying IL-1&#x3b2;, IL-2, and TNF-&#x3b1; expression under untreated and LPS-treated conditions, with significant differences indicated. Panels C through F display immunofluorescence images comparing control and LPS-treated bone marrow macrophages, stained for CD11b or CD68 (green), GlyR&#x3b1;1/2 or GlyR&#x3b1;3 (red), and DAPI for nuclei (blue), with merged images showing colocalization.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4">
<title>Brain GlyR is regulated by systemic and neuronal inflammation</title>
<p>GlyR&#x3b1;2 is a well-studied GlyR, especially in the brain. To determine whether brain GlyR&#x3b1;1, &#x3b1;2, and &#x3b1;3 respond differently to systemic and neuronal inflammation, mice were administered LPS intraperitoneally and intracortically (neuroinflammation), and samples were obtained 48 hours post-treatment. A group of untreated mice was enrolled as healthy controls. A significant increase in GlyR&#x3b1;3 (2.23 &#xb1; 0.2-fold, p&lt;0.001**) expression in neuroinflammatory mice, along with the highest expression of GlyR&#x3b1;1 (5.91 &#xb1; 0.73-fold, p&lt;0.001**) in neuro-inflammation compared to systemic inflammation and control was observed in brain tissues (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>).GlyR&#x3b1;2 expression was increased in response to systemic inflammation (1.4 &#xb1; 0.14, p=0.04*), with no change in neuroinflammation (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>). A heat map revealed up-regulation of brain GlyR&#x3b1;1 and &#x3b1;3 in response to neuroinflammation compared to systemic inflammation (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4B</bold></xref>). In contrast, GlyR&#x3b1;2 responds more to systemic inflammation than to neuroinflammation. The cytokines IL-1&#x3b2;, IL-2, and TNF&#x3b1; expression was also studied under inflammation conditions in the brain (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;2A</bold></xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Neuronal GlyR response to systemic and neuroinflammation in mice. <bold>(A)</bold> Fold change in mRNA expression of GlyR&#x3b1;1, &#x3b1;2, and &#x3b1;3 in mouse brains (n=4-6 mice per group). Neuroinflammation induced upregulation of GlyR&#x3b1;1 and &#x3b1;3, with no change in GlyR&#x3b1;2 expression. Data are shown as mean &#xb1; SEM, calculated using the 2<sup>^-&#x394;&#x394;Ct</sup> method. The experiment was performed twice in duplicate. Statistical significance was determined using one-way ANOVA, with *p&lt;0.05, **p&lt;0.01, and ***p&lt;0.001. <bold>(B)</bold> Heat map displaying relative fold-change expression of GlyR&#x3b1; subunits in control, systemic, and neuroinflammatory brain samples. Control values were normalized to 1, with fold changes represented by the color scale (green = baseline/control, red = upregulation). Clustering showed marked upregulation of GlyR&#x3b1;1 and &#x3b1;3 during neuroinflammation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1749275-g004.tif">
<alt-text content-type="machine-generated">Panel A displays three bar graphs showing fold changes for GlyR&#x3b1;1, GlyR&#x3b1;2, and GlyR&#x3b1;3 under control, systemic inflammation, and neuroinflammation conditions, with statistical significance marked by asterisks. Panel B shows a heatmap comparing expression levels between the three conditions for each GlyR subtype, color-coded from green to red, with a legend bar indicating values from five to ten. Control, systemic, and neuroinflammation conditions are clearly labeled.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_5">
<title>Modulations of non-neuronal GlyR by systemic and neuronal inflammation</title>
<p>The spleen and BM from mouse models of systemic and neuronal inflammation were used to identify changes in the expression of GlyR&#x3b1;1, &#x3b1;2, and &#x3b1;3. Notably, neuroinflammation significantly increased GlyR&#x3b1;1 (2.22 &#xb1; 0.62, p=0.026*), GlyR&#x3b1;2 (1.41 &#xb1; 0.18, p=0.014*), and GlyR&#x3b1;3 (2.83 &#xb1; 0.76, p=0.004**) expression in spleen (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5A</bold></xref>) compared to the control. Systemic inflammation showed no significant changes in the spleen (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5A</bold></xref>). The association between systemic or neuronal inflammation and the changes in GlyR expression is represented as a heat map for the spleen (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5C</bold></xref>). During both the inflammations, spleen tissue showed increased IL-1&#x3b2;, IL-2, and TNF&#x3b1; expression (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;2B</bold></xref>). A significant splenic GlyR modulation was detected in neuroinflammation mice.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Non-neuronal (spleen and BM cells) GlyR&#x3b1; subunit expression during systemic and neuroinflammation. <bold>(A)</bold> Spleen tissue (n=4-6 mice per group) showing significant upregulation in GlyR&#x3b1;1, &#x3b1;2, and &#x3b1;3 under neuroinflammatory conditions, while remaining unchanged during systemic inflammation. This suggests enhanced splenic immune activation in response to central neuroinflammation. <bold>(B)</bold> BM cells (n=4-6 mie per group) displayed increased GlyR&#x3b1;1 and &#x3b1;2 expression during neuroinflammation, whereas systemic inflammation reduced the expression of all three GlyR&#x3b1; subunits. Data are presented as mean &#xb1; SEM using the 2<sup>^-&#x394;&#x394;Ct</sup> method. Experiments were performed twice in duplicate. Statistical significance was determined by one-way ANOVA followed by Tukey&#x2019;s <italic>post hoc</italic> test (*p&lt;0.05, **p&lt;0.01, and ***p&lt;0.001). <bold>(C, D)</bold> Heat maps illustrated the relative fold-change expression profiles of GlyR&#x3b1;1, &#x3b1;2, and &#x3b1;3 in the spleen <bold>(C)</bold> and BM cells <bold>(D)</bold>. Control samples were assigned a baseline value of 1, with fold-change values (green = baseline/control, red = upregulation). The heat maps reveal distinct upregulation patterns of GlyR&#x3b1; subunits in both tissues, with stronger expression observed during neuroinflammatory conditions.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1749275-g005.tif">
<alt-text content-type="machine-generated">Panel A and B display bar graphs with individual data points showing fold changes for GlyR&#x3b1;1, GlyR&#x3b1;2, and GlyR&#x3b1;3 in spleen and bone marrow, respectively, across control, systemic inflammation, and neuroinflammation groups, with significant differences noted by asterisks. Panels C and D are heatmaps visualizing gene expression levels of GlyR&#x3b1;1, GlyR&#x3b1;2, and GlyR&#x3b1;3 in spleen and bone marrow, respectively, under control, systemic, and neuroinflammatory conditions, using a green-to-red color scale.</alt-text>
</graphic></fig>
<p>During neuroinflammation, the BM showed a significant increase in the expression of GlyR&#x3b1;1, &#x3b1;2, and &#x3b1;3 (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5B</bold></xref>, p&lt;0.0001, p&lt;0.01, p&lt;0.05). In contrast, systemic inflammation reduced the expression of all three GlyR&#x3b1; subunits in the BM (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5B</bold></xref>). The BM showed reduced pro-inflammatory cytokine expression in systemic and neuroinflammation (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;5C</bold></xref>). The heat map represented the association of RNA overexpression in GlyR&#x3b1;1, &#x3b1;2, and &#x3b1;3 specifically in response to neuroinflammation (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5D</bold></xref>). Systemic inflammation-induced decreases of GlyR expression indicated a suppressive regulatory mechanism in the BM.</p>
</sec>
<sec id="s3_6">
<title>Regulating circulating WBC GlyR by neuroinflammation</title>
<p>Immunofluorescence staining showed that inflammatory conditions influence the expression of GlyR subunits in circulating WBCs. In control WBCs, GlyR&#x3b1;1/2 and &#x3b1;3 signals were mainly expressed in the membrane. In contrast, a significant increase in GlyR&#x3b1;1/2 and &#x3b1;3 staining was observed in the cytoplasm and membrane in neuronal and systemic inflammation models (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6A</bold></xref>). The increased co-expression of GlyR&#x3b1;1/2 and &#x3b1;3 was observed in WBCs under inflammatory conditions.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Blood-based GlyR response under different inflammatory conditions. <bold>(A)</bold> Representative immunofluorescence images showing GlyR&#x3b1;1/2 (red), GlyR&#x3b1;3 (green), and DAPI (blue) staining in WBCs from control, systemic- and neuroinflammation groups. <italic>Scale bar: 10&#xb5;m</italic><bold>(B)</bold>. Fold-change expression of GlyR&#x3b1;1, &#x3b1;2, and &#x3b1;3 in circulating WBCs (n=4-6 mice per group) showed that neuroinflammation significantly upregulated all three GlyR&#x3b1; subunits, while systemic inflammation selectively increased GlyR&#x3b1;1 and &#x3b1;2 expression. This suggests enhanced peripheral glycinergic activation in response to neuroinflammation. The experiment was repeated twice in duplicates. Statistical significance was assessed by one-way ANOVA followed by Tukey&#x2019;s <italic>post hoc</italic> test (*p&lt;0.05, **p&lt;0.01, and ***p&lt;0.001). <bold>(C)</bold> Heat-map representing the fold-change expression profiles of GlyR&#x3b1; subunits in WBCs across different inflammatory conditions. The control group was normalized to 1, presented as green and red for upregulation. Distinct clustering patterns highlighted the strong upregulation of GlyR&#x3b1; subunits under neuroinflammation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1749275-g006.tif">
<alt-text content-type="machine-generated">Panel A shows immunofluorescence images of cells stained for GlyRa1/2 in red, GlyRa3 in green, and nuclei with DAPI in blue, merged to visualize overlap, from control, systemic inflammation, and neuroinflammation groups. Panel B presents bar graphs comparing fold change in GlyRa1, GlyRa2, and GlyRa3 expression between the three groups, with statistical significance indicated. Panel C displays a heatmap summarizing GlyRa1/2 and GlyRa3 expression across groups, with color intensity representing white blood cell counts and significant differences annotated.</alt-text>
</graphic></fig>
<p>Next, WBCs were collected from mouse models of neuronal and systemic inflammation. The na&#xef;ve mice served as the controls. Both systemic and neuronal inflammatory conditions altered the expression of GlyR&#x3b1;1, &#x3b1;2, and &#x3b1;3 in WBCs (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6B</bold></xref>). The gene modification of circulatory WBC GlyR by neuroinflammation showed a significant increase in GlyR&#x3b1;1 (3.4 &#xb1; 0.72-fold, p=0.002**), GlyR&#x3b1;2 (2.03 &#xb1; 0.17-fold, p&lt;0.0001**), and GlyR&#x3b1;3 (3.44 &#xb1; 0.61-fold, p=0.0003**) compared to the control (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6B</bold></xref>). GlyR&#x3b1;3 in WBCs revealed a higher correlation to neuroinflammation. The responses of GlyR to systemic and neuronal inflammation were compared to the control (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6C</bold></xref>). During both inflammations, WBCs showed decreased expression of IL-1&#x3b2;, IL-2, and TNF-&#x3b1; (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;2D</bold></xref>).</p>
</sec>
<sec id="s3_7">
<title>Cytokine-independent regulation of WBC GlyR by neuroinflammation</title>
<p>The neuropathological process of neuroinflammation at days 2 and 5 altered the expression of GlyRs and pro-inflammatory cytokines in the opposite direction. A significant reduction in IL-1&#x3b2;, IL-2, and TNF&#x3b1; cytokines was observed in the brain (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7A</bold></xref>) and blood (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7B</bold></xref>) compared with the naive controls (day 0) following neuroinflammation at days 2 and 5. Pathological changes of neuroinflammation coincided with transient cytokine suppression in both the brain and blood. In contrast, a significant increase in WBC GlyR&#x3b1;1, a2, and a3 was observed on day 2, while a reduction of all three subunits of GlyR was seen following day 5. These results indicated that the increase in WBC GlyRs was not correlated with IL-1&#x3b2;, IL-1, and TNF&#x3b1; signaling in the brain and WBCs (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7C</bold></xref>). This demonstrated a reciprocal modulation of WBC GlyRs by neuroinflammation that is independent of brain and WBC cytokine signaling.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Cytokine expression dynamics during neuroinflammation in WBCs. <bold>(A, B)</bold> Fold-change in mRNA expression of proinflammatory cytokines, including IL-1&#x3b2;, IL-2, and TNF&#x3b1;, at days 0, 2, and 5 post-LPS treatment in the mouse brain and blood. A significant reduction in cytokine transcript levels was observed at day 2, further declining by day 5 compared with day 0 controls in the brain after neuroinflammation. <bold>(C)</bold> Line graphs illustrate the comparison of cytokine expression patterns in the brain and blood with blood GlyR&#x3b1; subunits, showing similar yet opposing trends, where the peak expression of peripheral GlyR&#x3b1; subunits on day 2 coincides with transient cytokine suppression in both tissues. This suggests reciprocal regulation between peripheral and central systems. Data are shown as fold change (mean &#xb1; SEM), calculated using the 2<sup>^-&#x394;&#x394;Ct</sup> method. Statistical significance was determined by one-way ANOVA followed by Tukey&#x2019;s <italic>post hoc</italic> test (*p&lt;0.05, **p&lt;0.01, and ***p&lt;0.001).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1749275-g007.tif">
<alt-text content-type="machine-generated">Bar and line graphs display fold changes for IL-1b, IL-2, and TNFa cytokines over days zero, two, and five in brain and blood. Panels A and B show mean values with error bars and scatter points, indicating cytokine fold changes in brain (A) and blood (B) with statistical significance markers. Panel C presents line graphs comparing fold changes for GlyRa1, GlyRa2, and GlyRa3 in blood, alongside blood and brain for each cytokine across time points.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_8">
<title>Biomarker roles of WBC GlyRs in correlation with activated microglia</title>
<p>Next, we investigated how neuropathological changes affected the WBC GlyRs under neuroinflammatory conditions. Pathological evaluation was performed using an immunofluorescence assay in the brain slides with an antibody against Iba1. The na&#xef;ve brain sections were used as the controls (day 0). Immunofluorescence imaging of the LPS-injected left hemisphere cerebral cortex showed a significantly increased activation of Iba1+ microglia (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8A</bold></xref>, red) at days 2 and 5 of post-LPS injection compared to the controls. The neuropathological change in Iba1+ microglia reflects neuroinflammation induced by LPS, with DAPI-counterstained nuclei (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8A</bold></xref>, blue). A noticeable increase in Iba1+ microglial density evidenced the neuropathological process caused by LPS on days 2 and 5. Quantification of Iba1+ cell density (percentage index) in brain sections indicated that robust acute microglial activation occurred on day 2 and persisted through to day 5 (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8B</bold></xref>).</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Blood-based biomarker function of GlyRs during neuroinflammation. <bold>(A)</bold> Representative immunofluorescence images of the left hemisphere cerebral cortex showing Iba1+ microglia (red) at day 0 (control), day 2, and day 5 following intracerebral neuroinflammation. Nuclei were counterstained with DAPI (blue). Iba1 immunoreactivity is markedly increased on day 2, indicating robust microglial activation. By day 5, Iba1+ microglial density partially decreases, suggesting resolution of the acute inflammatory response. Scale bar: 100 &#xb5;m. <bold>(B)</bold> Quantification of Iba1+ microglial density (percentage index) in cortical sections confirms peak microglial activation at day 2, corresponding to the acute phase of neuroinflammation, with partial resolution by day 5. <bold>(C&#x2013;E)</bold> GlyR&#x3b1;1, &#x3b1;2, and &#x3b1;3 expression in blood shows significant upregulation at day 2, followed by a decline to or below baseline levels by day 5. <bold>(F&#x2013;H)</bold> Analysis of brain Iba1 (black lines) and blood GlyR&#x3b1; subunit (colored lines) expression during neuroinflammation reveals a coordinated central-peripheral association. <bold>(F)</bold> Iba1 and GlyR&#x3b1;1 elevation on day 2 reflects synchronized central-peripheral immune activation. By day 5, brain Iba1 remains moderately elevated while blood GlyR&#x3b1;1 declines below baseline, indicating rapid systemic resolution. <bold>(G, H)</bold> GlyR&#x3b1;2 and &#x3b1;3 exhibit similar transient upregulation at day 2, inversely correlating with the partial resolution of brain Iba1 by day 5, demonstrating a temporary reciprocal modulation between cortical microglia and peripheral GlyR&#x3b1; subunits. Data are presented as fold change (mean &#xb1; SEM), calculated using the 2<sup>^-&#x394;&#x394;Ct</sup> method. Experiments were performed twice in duplicate. Statistical significance was determined by one-way ANOVA followed by Tukey&#x2019;s <italic>post hoc</italic> test (*p&lt;0.05, **p&lt;0.01, and ***p&lt;0.001).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1749275-g008.tif">
<alt-text content-type="machine-generated">Composite scientific figure showing immunofluorescence images of brain tissue stained for Iba1 at days 0, 2, and 5 (panel A); bar graphs quantifying percent Iba1+ cells and blood fold changes in GlyR&#x3b1;1, GlyR&#x3b1;2, and GlyR&#x3b1;3 at the same timepoints (panels B-E); and line plots correlating brain Iba1 levels with blood GlyR&#x3b1;1, GlyR&#x3b1;2, and GlyR&#x3b1;3 levels over time (panels F-H). Error bars and statistical significance annotations are included.</alt-text>
</graphic></fig>
<p>The mRNA expression of GlyR&#x3b1;1 (3.82 &#xb1; 1.08-fold, p=0.025*), GlyR&#x3b1;2 (1.95 &#xb1; 0.24-fold, p=0.022**), and GlyR&#x3b1;3 (4.15 &#xb1; 0.84-fold, p=0.003**) in WBCs showed a statistically significant increase at day 2, following a decreased WBC GlyRs at day 5 (<xref ref-type="fig" rid="f8"><bold>Figures&#xa0;8C&#x2013;E</bold></xref>). This coincided with elevated microglial activation. The early peak in GlyR expression in WBCs reflects a dynamic peripheral response mediated by brain microglia activation. These results provide evidence that WBC GlyR signaling occurs in response to neuropathological gliosis through unexplored or glycinergic signaling mechanisms.</p>
<p>Finally, we analyzed whether circulating WBC GlyR signaling correlated with activation of Iba1+ microglia to identify the brain-GlyR-WBCs communication axis. The communication was reflected by pathological changes in Iba1+ microglia (neuroinflammation) and the expression of GlyR&#x3b1;1, &#x3b1;2, and &#x3b1;3 in circulating WBCs (<xref ref-type="fig" rid="f8"><bold>Figures&#xa0;8F&#x2013;H</bold></xref>). With a transient rise in activation of Iba1+ microglial cells, increases in GlyR expression tend to be high on day 2, suggesting a crosstalk of brain-GlyR-blood during neuroinflammation. Brain Iba1 and blood GlyR&#x3b1;1 and &#x3b1;3 show an acute surge on day 2, indicating synchronized central-peripheral immune activation. While brain Iba1 remains moderately elevated at day 5, blood GlyR&#x3b1;1 and &#x3b1;3 expression sharply decline, suggesting rapid systemic normalization following peak inflammation (<xref ref-type="fig" rid="f8"><bold>Figures&#xa0;8F, H</bold></xref>). GlyR&#x3b1;2 transcript exhibits a slight early upregulation on day 2, inversely correlating with the decline in brain Iba1 expression by day 5 (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8G</bold></xref>). These findings demonstrate that LPS-induced neuroinflammation leads to rapid microglia activation accompanied by a synchronized, transient upregulation of circulating WBC GlyR&#x3b1;1 and &#x3b1;3. The reciprocal temporal association suggests that circulating WBC GlyR expression may serve as a potential biomarker for neuroinflammation.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Neuroinflammation is a serious condition in the central nervous system, triggered by various factors, including infectious diseases, traumatic injuries, or neurodegenerative disorders (<xref ref-type="bibr" rid="B25">25</xref>). Depending on the cause, inflammation can range from acute (caused by pathogens or traumatic brain injury) to chronic, affecting disease progression and patient outcomes. Neuroinflammation involves complex interactions among neurons, glial cells, and infiltrating immune cells (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). These neuronal cells are essential not only for neurotransmission but also for maintaining CNS balance and defending against pathogens and damage. Neuroinflammation-mediated activation of microglia and astrocytes leads to the release of inflammatory cytokines, which can have both protective and harmful effects (<xref ref-type="bibr" rid="B28">28</xref>). Currently, diagnosing neuroinflammation primarily relies on expensive neuroimaging or invasive cerebrospinal fluid (CSF) analysis. Common biomarkers, including glial fibrillary acidic protein (GFAP), chitinase-3-like protein 1 (YKL-40), soluble triggering receptor expressed on myeloid cells 2 (sTREM2), and neurofilament light chain (NfL) (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B23">23</xref>), mainly reflect glial activation or axonal injury rather than dynamic immune-neuronal communication. These limitations underscore the need for minimally invasive biomarkers that can assess active neuroimmune interactions, thereby enhancing early diagnosis and therapeutic monitoring.</p>
<p>Glycine receptors, traditionally known as inhibitory neurotransmitter receptors in the CNS, are increasingly recognized as key regulators of inflammation. GlyRs are essential for neurophysiological functions such as motor coordination, respiratory rhythm, and muscle tone, and they have been associated with various pathological conditions (<xref ref-type="bibr" rid="B29">29</xref>). Our data confirmed the presence of GlyR&#x3b1;1, &#x3b1;2, and &#x3b1;3 transcripts in both PBMCs and monocytes and, for the first time, showed that GlyR&#x3b1;1 was the dominant subtype in these immune cells. These results are consistent with Eynden et&#xa0;al. (<xref ref-type="bibr" rid="B24">24</xref>), who reported GlyR&#x3b1;2 expression in a subset of PBMCs, with predominant expression in CD14+ monocytes, and substantial expression in CD56+ natural killer (NK) cells. This indicates that peripheral immune cells may have a broader range of GlyR subunits than previously thought.</p>
<p>In the present study, immunofluorescence analysis showed dual membrane-associated and cytoplasmic localization of GlyR&#x3b1;1/2 subunits in CD14+ monocytes. Such dual localization is well-documented in neurons, where surface localization of GlyR subunits is tightly regulated, but this process is not well understood in immune cells (<xref ref-type="bibr" rid="B30">30</xref>). Possibly, membrane-bound GlyRs enable rapid responses, while cytoplasmic GlyRs might act as intracellular reservoirs, potentially performing functions similar to those in neuronal cells of the CNS. Similar cytoplasmic location has been described in oligodendroglial cell lines (MO3.13, OLN-93, HOG) and spinal cord neurons (<xref ref-type="bibr" rid="B31">31</xref>). GlyR&#x3b1;1 is widely expressed in the spinal cord and brainstem, and genetic changes in GlyR&#x3b1;1 and &#x3b2;-subunits are linked to human hyperekplexia, leading to lower pain thresholds (<xref ref-type="bibr" rid="B32">32</xref>). GlyR&#x3b1;1 and GlyR&#x3b1;3 are mainly neuronal, while GlyR&#x3b1;2 is broadly expressed during development and in non-neuronal tissues (<xref ref-type="bibr" rid="B9">9</xref>). Single-cell transcriptomic analyses demonstrate low but widespread GlyR&#x3b1;3 expression across excitatory and inhibitory neurons in the mouse CNS, with marked regional and sex-specific differences (<xref ref-type="bibr" rid="B21">21</xref>). Microglial cells were found to harbor functional GlyR&#x3b1;1&#x3b2; when studied ex vivo in spinal cord slices (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). However, <italic>in vitro</italic> studies reported GlyR downregulation, possibly due to excess glycine in cell culture medium, which is linked to cell death in heterologous GlyR expression experiments (<xref ref-type="bibr" rid="B35">35</xref>). This differential expression suggests that extraneuronal GlyRs may play a role in immune system regulation, contributing to glycinergic control in both excitatory and inhibitory processes.</p>
<p>Beyond the CNS, glycine-mediated cytoprotective and immunomodulatory effects have been documented in several non-neuronal tissues, including the kidney, liver, heart, and endothelial cells (<xref ref-type="bibr" rid="B32">32</xref>). Pan C et&#xa0;al. (<xref ref-type="bibr" rid="B36">36</xref>) proposed that GlyR&#x3b1;1 mediates protection against ATP-depletion-induced injury in human embryonic kidney (HEK293) and Madin-Darby canine kidney (MDCK) cells. A GlyR&#x3b2; subunit splice variant has been detected in liver homogenates, with unknown cellular origin (<xref ref-type="bibr" rid="B37">37</xref>), whereas cardiomyocytes have been shown to express GlyR&#x3b2;, but not GlyR&#x3b1; subunits, in an experimental model of LPS-induced cardiac dysfunction (hypoxia/reoxygenation injury) (<xref ref-type="bibr" rid="B38">38</xref>). Glycine supplementation (2 mM) confers cardioprotection, highlighting a functional role for non-neuronal GlyRs. These non-neuronal cells expressing GlyRs mediate glycine&#x2019;s cytoprotective and modulatory effects, with glycine acting as the inhibitory neurotransmitter of GlyRs.</p>
<p>The significance of GlyRs in immune activation was demonstrated through experiments involving LPS stimulation in human monocytes, mouse BMMs, and mouse inflammation models. <italic>In vitro</italic> studies showed early upregulation of GlyR&#x3b1;1 during acute inflammation and a delayed increase in GlyR&#x3b1;3 during the anti-inflammatory phase. This time-dependent expression of GlyR&#x3b1;1 and GlyR&#x3b1;3 induced by LPS, along with peak levels of pro-inflammatory cytokines, suggests that GlyRs might serve as inhibitory feedback regulators, modulating immune responses to prevent excessive cytokine release. Similarly, Mulvey et&#xa0;al. (<xref ref-type="bibr" rid="B39">39</xref>) described an early pro-inflammatory response followed by anti-inflammatory processes in LPS-treated THP-1 cells. The concurrent high expression of GlyR&#x3b1;3 with anti-inflammatory cytokines points to a potential role in resolving inflammation. Glycine-mediated inhibition of TNF-&#x3b1; and IL-1&#x3b2; production in LPS-treated human monocytes supports these findings (<xref ref-type="bibr" rid="B40">40</xref>), linking peak GlyR&#x3b1;1 expression with increased IL-1&#x3b2; and TNF-&#x3b1; levels, indicating a compensatory role for GlyR&#x3b1;1 during acute immune activation. GlyR&#x3b1;2 showed the highest baseline expression in the brain, aligning with its role in inhibitory neurotransmission in cortical and subcortical circuits (<xref ref-type="bibr" rid="B21">21</xref>). In contrast, peripheral tissues displayed variable expression patterns, with GlyR&#x3b1;2 being predominant. Neuroinflammation selectively upregulated GlyR&#x3b1;1 and GlyR&#x3b1;3 in brain tissues, whereas systemic inflammation primarily increased GlyR&#x3b1;2 expression.</p>
<p>In the spleen, a major secondary lymphoid organ, a significant upregulation of GlyR&#x3b1;1 and GlyR&#x3b1;3 mRNA may reflect heightened activation of splenic macrophages and monocytes during inflammation. This selective, differential upregulation implies that individual GlyR&#x3b1; subunits may have specific regulatory roles in modulating splenic immune responses. These findings align with previous reports indicating that splenic macrophages express functional GlyRs, which help suppress pro-inflammatory cytokine production and influence immune cell function (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B41">41</xref>). Froh M. et&#xa0;al. (<xref ref-type="bibr" rid="B42">42</xref>) first demonstrated that splenic macrophages primarily express the GlyR&#x3b1;2 and Kupffer cells express GlyR&#x3b1;1 along with the common &#x3b1;4 and &#x3b2; subunits in adult mice. Li et&#xa0;al., 2001 (<xref ref-type="bibr" rid="B43">43</xref>) showed that glycine suppresses LPS-induced TNF-&#x3b1; production, NF-&#x3ba;&#x3b2; activation, and oxidative burst in macrophages, thereby confirming the functional presence of GlyRs in splenic immune cells and establishing glycine as an anti-inflammatory immunomodulator.</p>
<p>Our results reveal a distinct pattern of GlyR&#x3b1; subunit regulation in BM cells, with an increase in GlyR&#x3b1;1 expression during neuroinflammation, contrasting with the suppression of all GlyR&#x3b1; subunits during systemic inflammation. This differential regulation may serve as a feedback mechanism to maintain immune homeostasis. Although direct characterization of GlyRs in BM-derived cells remains limited, emerging evidence supports glycinergic signaling as a broader immunoregulatory mechanism that influences immune progenitor differentiation and macrophage polarization (<xref ref-type="bibr" rid="B17">17</xref>). Conversely, the downregulation of all GlyR subunits during systemic inflammation may indicate exhaustion or suppression of glycinergic anti-inflammatory tone under sustained peripheral immune activation. Neuroinflammation also prompted simultaneous upregulation of GlyR&#x3b1; subunits in the spleen, bone marrow, and circulating WBCs, along with suppression of CNS cytokines. This reciprocal pattern suggests a potential brain-to-blood signaling axis, in which peripheral GlyRs may serve as early responders to CNS inflammatory states (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B44">44</xref>).</p>
<p>LPS-based neuroinflammation model enables identification of non-neuronal GlyR signaling mechanisms, specifically the neuropathogenic modification of GlyR signaling in peripheral immune tissues, especially in circulating WBCs. In immune cells such as macrophages, particularly Kupffer cells, GlyR&#x3b1;1, &#x3b1;4, and &#x3b2; subunit transcripts and proteins were detected (<xref ref-type="bibr" rid="B42">42</xref>). Rat neutrophils express functional GlyR&#x3b1;2, &#x3b1;4, and &#x3b2; subunits, which inhibit LPS-induced calcium fluxes by glycine (<xref ref-type="bibr" rid="B42">42</xref>). Human monocytes and NK cells express GlyR&#x3b1;2, which inhibits LPS-induced (endotoxin shock) TNF&#x3b1; and IL-1&#x3b2; secretion, and increases IL-10 production by glycine (<xref ref-type="bibr" rid="B40">40</xref>). Furthermore, subunit-specific expression patterns reported in macrophages from different tissues suggest potential heterogeneity in GlyR composition across immune cell populations, which could underlie distinct signaling properties.</p>
<p>The present study demonstrates that neuroinflammation (IC administration of LPS) induces a robust but transient microglia activation (increased Iba1 immunoreactivity) in the cerebral cortex that peaks at day 2 and gradually resolves by day 5. This localized neuroinflammatory response was accompanied by a parallel, transient upregulation of peripheral blood GlyR&#x3b1;1&#x2013;3 subunit mRNA expression. This temporal pattern closely resembles the time course of cortical microglial activation, suggesting dynamic-to-central-peripheral immunological crosstalk and identifying GlyR&#x3b1; subunits as potential peripheral indicators of central neuroinflammatory activity.</p>
<p>Microglial activation after focal LPS injection or local injury (<xref ref-type="bibr" rid="B45">45</xref>) induces an early proinflammatory phase dominated by cytokine production that transitions into a recovery phase. The intracortical route limits LPS diffusion, thereby limiting strong peripheral cytokine induction (<xref ref-type="bibr" rid="B46">46</xref>). The positive correlation between WBC GlyR expression and brain Iba1+ activation at day 2 reflects systemic immune responses, as GlyR-expressed peripheral immune cells mirror neuroinflammatory events. Another possible mechanistic link between brain and blood GlyR regulation may involve exosomal communication (<xref ref-type="bibr" rid="B47">47</xref>), where microglia and astrocytes release extracellular vesicles containing RNA and protein that can enter circulation and modulate gene expression in peripheral cells, linking central inflammation to peripheral changes.</p>
<p>Several limitations lead to the need for further study of non-neuronal GlyR signaling. First, while we demonstrated transcriptional and protein expression of GlyRs under normal and inflammatory conditions, the validation cohorts were mainly limited to human tissue samples. Lack of GlyR&#x3b1; subunit-specific modification of models restricts the mechanistic evaluation of GlyR signaling pathways, especially in human neuroinflammatory diseases, including virus-induced encephalitis and multiple sclerosis. Need for a full cytokine panel assessment to strengthen conclusions regarding cytokine-independent regulation of circulating immune cell GlyRs during neuroinflammation. Nevertheless, the potential sex-specific differences in GlyR expression cannot be excluded. The mechanism connecting central neuroinflammation to peripheral GlyRs upregulation remains unclear; therefore, it warrants further investigation.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>Neuroinflammation contributes to diverse brain disorders, but minimally invasive biomarkers for its detection are still limited. We discovered that GlyRs, best known for their inhibitory function in the CNS, are constitutively expressed in circulating WBCs, with their expression dynamically modulated during neuroinflammation. Our findings demonstrate a brain-blood GlyR axis, linking central neuronal signaling with peripheral immune responses, suggesting GlyRs as potential blood-based biomarkers for the early detection and monitoring of neuronal inflammatory states.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>. Further inquiries can be directed to the corresponding author.</p></sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The human samples used in this study were acquired from Human PBMCs and CD14+ monocytes were purchased directly from BioIVT (HUMANCD14-0107684, HUMANPBMC-0002132, Westbury, NY, USA). Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements. The animal protocol was approved by the Institutional Animal Care and Use Committee (IACUC) of the Texas Tech University Health Sciences Center El Paso, Assurance # D19-01056, Protocol # 11040. The study was conducted in accordance with the local legislation and institutional requirements.</p></sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>VT: Data curation, Formal analysis, Investigation, Methodology, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. YC: Formal analysis, Investigation, Methodology, Writing &#x2013; review &amp; editing. RM: Formal analysis, Investigation, Methodology, Writing &#x2013; review &amp; editing. OE: Formal analysis, Investigation, Methodology, Writing &#x2013; review &amp; editing. LL: Methodology, Writing &#x2013; review &amp; editing. CG: Methodology, Writing &#x2013; review &amp; editing. AC: Methodology, Writing &#x2013; review &amp; editing. IC: Formal analysis, Investigation, Methodology, Writing &#x2013; review &amp; editing. BR: Investigation, Methodology, Writing &#x2013; review &amp; editing. JL: Writing &#x2013; review &amp; editing. GR: Writing &#x2013; review &amp; editing. HD: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>We gratefully thank the Tissue Bank Core and Histology Core Facility at TTUHSC El Paso.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The author(s) declared that GR was as Associate Editor for Frontiers in Neurology, at the time of submission. This had no impact on the peer review process and the final decision.</p></sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
<sec id="s13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2026.1749275/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2026.1749275/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/></sec>
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<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1128418">Rajnikant Mishra</ext-link>, Banaras Hindu University, India</p></fn>
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<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/425671">Hareram Birla</ext-link>, Rutgers, The State University of New Jersey, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/747904">Senthil Kumaran Satyanarayanan</ext-link>, Hong Kong Institute of Innovation and Technology, Hong Kong SAR, China</p></fn>
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<fn fn-type="abbr" id="abbrev1">
<label>Abbreviations:</label>
<p>ANOVA, analysis of variance; AVMA, american veterinary medical association; B2M, beta-2-microglobulin; BM, bone marrow; BMM, bone marrow macrophage; CD68, cluster of differentiation 68; CNS, central nervous system; CSF, cerebrospinal fluid; DAPI, 4&#x2019;,6-diamidino-2-phenylindole; EDTA, ethylenediaminetetraacetic acid; FBS, fetal bovine serum; GABA, gamma-aminobutyric acid; GFAP, Glial fibrillary acidic protein; GlyRs, glycine receptors; HEK293, human embryonic kidney 293; i.p., intraperitoneal; IACUC, institutional animal care and use committee; Iba1, ionized calcium-binding adapter molecule 1; IL-1&#x3b2;, interleukin-1beta; IL-2, interleukin-2; IL-6, interleukin-6; LPS, lipopolysaccharide; MCSF, macrophage colony-stimulating factor; MDCK, madin-darby canine kidney cells; Nfl, neurofilament light chain; NGS, normal goat serum; NK cells, natural killer cells; OCT, optima; cutting temperature; PBMCs, peripheral blood mononuclear cells; PBS, phosphate buffer saline; PFA, paraformaldehyde; pSTAT3, phosphorylated signal transducer and activator of transcription 3; qRT-PCR, quantitative real time polymerase chain reaction; RBC, red blood cell; RGC, retinal ganglion cells; RNA, ribonucleic acid; S.E.M., standard error mean; SIRS, systemic inflammatory response syndrome; STREM2, soluble triggering receptor expressed on myeloid cells 2; TBI, traumatic brain injury; THP-1, tohoku hospital pediatrics-1; TLR4, toll like receptor-4; TNF-&#x3b1;, tumor necrosis factor-alpha; VEGF, vascular endothelial growth factor; WBCs, white blood cells; YKL-40, chitinase-3-like protein 1.</p>
</fn>
</fn-group>
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