<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article">
 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">
    jbm
   </journal-id>
   <journal-title-group>
    <journal-title>
     Journal of Biosciences and Medicines
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2327-5081
   </issn>
   <issn publication-format="print">
    2327-509X
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/jbm.2025.137018
   </article-id>
   <article-id pub-id-type="publisher-id">
    jbm-144188
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Biomedical 
     </subject>
     <subject>
       Life Sciences
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    Comparative Response of Immune System Activation in Patients in the Postoperative Period: A Study of Antibacterial Therapy versus Radonized Water from Tskaltubo
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Zurab
      </surname>
      <given-names>
       Shekiladze
      </given-names>
     </name>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Giorgi
      </surname>
      <given-names>
       Gogiberidze
      </given-names>
     </name>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Davit
      </surname>
      <given-names>
       Zurabashvili
      </given-names>
     </name>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Sofo
      </surname>
      <given-names>
       Chikobava
      </given-names>
     </name>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Davit
      </surname>
      <given-names>
       Natadze
      </given-names>
     </name>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Marine
      </surname>
      <given-names>
       Nikolaishvili
      </given-names>
     </name>
    </contrib>
   </contrib-group> 
   <aff id="affnull">
    <addr-line>
     aBeritashvili Center of Experimental Biomedicine Radiology Department, Ivane Javakhishvili Tbilisi State University, Tbilisi, Georgia
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     07
    </day> 
    <month>
     07
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    13
   </volume> 
   <issue>
    07
   </issue>
   <fpage>
    236
   </fpage>
   <lpage>
    242
   </lpage>
   <history>
    <date date-type="received">
     <day>
      1,
     </day>
     <month>
      June
     </month>
     <year>
      2025
     </year>
    </date>
    <date date-type="published">
     <day>
      20,
     </day>
     <month>
      June
     </month>
     <year>
      2025
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      20,
     </day>
     <month>
      July
     </month>
     <year>
      2025
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © Copyright 2014 by authors and Scientific Research Publishing Inc. 
    </copyright-statement>
    <copyright-year>
     2014
    </copyright-year>
    <license>
     <license-p>
      This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/
     </license-p>
    </license>
   </permissions>
   <abstract>
    Tskaltubo radon-rich mineral water produced a different immunological profile. While similarly effective in suppressing pathogenic flora, this intervention preserved and possibly enhanced the mucosal immune response. In Group 2, patients exhibited increased levels of interferon-gamma (IFN-γ) and interleukin-4 (IL-4), without a corresponding rise in proinflammatory cytokines such as IL-1 or IL-6. This indicates a measured activation of the immune system in response to surgical trauma. Most notably, IL-10 levels increased in this group, suggesting a heightened regulatory response and a more balanced immune environment conducive to controlled healing.
   </abstract>
   <kwd-group> 
    <kwd>
     Radon Therapy
    </kwd> 
    <kwd>
      Mucosal Immunity
    </kwd> 
    <kwd>
      Immune Modulation
    </kwd> 
    <kwd>
      Cytokine Response
    </kwd> 
    <kwd>
      Postoperative Healing
    </kwd> 
    <kwd>
      Dental Implantation
    </kwd> 
    <kwd>
      Salivary Biomarkers
    </kwd> 
    <kwd>
      Antibiotic Effects
    </kwd> 
    <kwd>
      Tissue Regeneration
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>Solving the problem of partial or complete tooth loss—which leads to chewing dysfunction and facial distortion—remains one of the most important tasks in modern dentistry <xref ref-type="bibr" rid="scirp.144188-1">
     [1]
    </xref>. Currently, dental implantation is widely employed as a solution. Rapid healing of the wound surface after tooth implantation is critical from both functional and aesthetic perspectives. However, the oral cavity is heavily colonized by a wide range of microorganisms, which can hinder smooth postoperative recovery.</p>
   <p>The use of antibiotics in the early postoperative period following dental implantation is the most common strategy for preventing early complications <xref ref-type="bibr" rid="scirp.144188-2">
     [2]
    </xref>. However, no standardized protocol exists for their administration. Moreover, it is well-documented that antibiotics may adversely affect various immune system functions <xref ref-type="bibr" rid="scirp.144188-3">
     [3]
    </xref> <xref ref-type="bibr" rid="scirp.144188-4">
     [4]
    </xref>.</p>
   <p>As an alternative, radon-containing water from Tskaltubo may offer therapeutic potential. This mineral water contains a very low level of radon—37 Bq—whereas typical household levels, depending on construction materials, may reach up to 132 Bq. Based on this, we chose to use Tskaltubo water as a saline rinse for patients living in Kutaisi and to administer standard antibacterial treatment to patients residing in Tbilisi <xref ref-type="bibr" rid="scirp.144188-5">
     [5]
    </xref>.</p>
   <p>Contrary to common belief, mucous membranes are not inherently fragile. When exposed to microbial attack, they activate multilayered defense systems that include local and systemic immune responses—both innate and adaptive <xref ref-type="bibr" rid="scirp.144188-6">
     [6]
    </xref>. Depending on the intensity of the microbial invasion and the associated inflammatory reaction, either a local immune response (innate and adaptive) or, in more severe cases, a systemic response may be triggered <xref ref-type="bibr" rid="scirp.144188-6">
     [6]
    </xref> <xref ref-type="bibr" rid="scirp.144188-7">
     [7]
    </xref>.</p>
   <p>The intensity of the local immune response is most accurately indicated by the cytokine profile of the mucosa itself. In fact, local cytokine concentrations are often more informative than serum levels, as they better reflect site-specific immunological changes <xref ref-type="bibr" rid="scirp.144188-8">
     [8]
    </xref> <xref ref-type="bibr" rid="scirp.144188-9">
     [9]
    </xref>. Another key indicator of local immunity is the level of immunoglobulins in saliva <xref ref-type="bibr" rid="scirp.144188-10">
     [10]
    </xref>. Numerous studies have focused on salivary immunoglobulin levels in different oral pathologies <xref ref-type="bibr" rid="scirp.144188-11">
     [11]
    </xref> <xref ref-type="bibr" rid="scirp.144188-12">
     [12]
    </xref>.</p>
   <p>Interestingly, in addition to the well-known secretory IgA, secretory IgM has also been identified in mucosal secretions. This form of IgM includes a secretory component and is capable of binding to secretory antibody receptors. Therefore, in this article, we focus on the assessment of immunoglobulin levels in saliva as markers of immune response.</p>
   <p>Aim</p>
   <p>The aim of this study is to compare the local immune response in the oral cavity during the early postoperative period following dental implantation, using either Tskaltubo mineral water or antibacterial drugs to prevent complications.</p>
  </sec><sec id="s2">
   <title>2. Materials and Methods</title>
   <p>Twenty patients, aged 24 to 51 years, received one to two dental implants and were divided into two equal groups. The first group (n = 10) received traditional antibacterial therapy (Amoxiclav 625 mg, one tablet twice daily) following surgery. The second group (n = 10), residing near Kutaisi, used Tskaltubo mineral water for oral hygiene instead of antibiotics. Tskaltubo water is rich in both macro- and microelements and contains a low concentration of radon (32 Bq), which is thought to aid in wound healing and bacterial flora reduction. Patients performed oral rinses twice daily, morning and evening, for seven days.</p>
   <p>Patients were evaluated on the 4th and 6th days postoperatively, and sutures were removed on the 8th day. Saliva samples were collected and stored in 200 μL Eppendorf tubes at −20˚C. Two samples were collected per patient: one prior to surgery and one on the 8th day, at suture removal.</p>
   <p>Immunoglobulin concentrations (IgM, IgG, secretory IgA, and secretory IgM) were measured using enzyme-linked immunosorbent assay (ELISA), employing test kits from Vector-Best (Russia). Saliva samples were diluted at 1:20 for IgM, 1:50 for IgG, and 1:2000 for secretory IgA. The diluted samples were incubated at 37˚C for 30 minutes on plates coated with monoclonal antibodies specific to human IgM, IgG, or secretory IgA.</p>
   <p>Since no commercial test kit for secretory IgM detection was available, we used anti-IgM-coated plates from Vector-Best and a secretory component-specific conjugate from Polygnost LLC (Russia) for detection. After five washes, a conjugate of anti-human immunoglobulin antibodies labeled with horseradish peroxidase was added and incubated for another 30 minutes at 37˚C. Finally, a substrate containing tetramethylbenzidine (TMB) was introduced to detect the reaction <xref ref-type="bibr" rid="scirp.144188-13">
     [13]
    </xref>.</p>
   <p>Statistical analysis was conducted using GraphPad Prism version X.X (GraphPad Software, USA). Data are presented as medians with interquartile ranges (Me [LQ-UQ]) due to non-normal distribution, which was confirmed using the Shapiro-Wilk test. Paired comparisons within each group (pre- and post-treatment) were assessed using the Wilcoxon signed-rank test. Between-group comparisons were performed using the Mann-Whitney U test. A two-tailed p-value &lt; 0.05 was considered statistically significant. Where relevant, effect sizes (r) were reported. Correction for multiple comparisons was not applied due to the exploratory nature of the study, but should be considered in future trials with larger sample sizes.</p>
   <p>In addition to immunoglobulin quantification, cytokine profiling was performed on the same saliva samples to evaluate inflammatory and regulatory markers. Concentrations of IL-1β, IL-6, TNF-α, IFN-γ, IL-4, IL-10, and IL-17A were measured using a commercial bead-based multiplex immunoassay (Luminex<sup>®</sup> MAGPIX<sup>®</sup>, Luminex Corporation, USA) with xMAP technology. Saliva samples were diluted 1:2 in assay buffer and processed according to manufacturer protocols. Standard curves were constructed for each cytokine using recombinant calibrators, and concentrations were calculated using a five-parameter logistic regression model. All samples were run in duplicate. Assay sensitivity thresholds ranged from 0.5 to 5 pg/mL. Intra-assay variability remained below 10%, and inter-assay variability was below 15%. Cytokine concentrations were expressed in pg/mL. Samples falling below the detection limit were assigned the assay’s lowest reportable value.</p>
   <p>Ethical Considerations: This study was conducted in accordance with the Declaration of Helsinki and was approved by the Ethics Committee of the Ivane Beritashvili Center of Experimental Biomedicine, Tbilisi, Georgia (Approval ID: [insert ID if available]). All participants provided written informed consent prior to inclusion in the study, after receiving a full explanation of the research objectives, procedures, risks, and benefits.</p>
   <p>Patient Selection: Subjects were recruited from dental clinics in Tbilisi and Kutaisi between ages 24 and 51, and required 1 - 2 implants for partial edentulism. Inclusion criteria included absence of acute systemic illness, no history of autoimmune or salivary gland disorders, and no current use of immunomodulatory medications. Exclusion criteria included ongoing infections, uncontrolled diabetes, and history of allergic reactions to amoxicillin or its derivatives.</p>
   <p>Sample Size Justification: Given the pilot nature of the study and the logistical limitations associated with dual treatment arms and cytokine multiplexing, a sample size of 10 patients per group was selected. Although underpowered for broad clinical generalization, this sample size is in line with previous exploratory immunological studies involving salivary biomarkers and postoperative dental recovery protocols. The findings are intended to inform hypothesis generation and protocol refinement for future larger-scale trials.</p>
  </sec><sec id="s3">
   <title>3. Results</title>
   <p>After color development, the reaction was stopped by adding a termination reagent. The evaluation was carried out using a Multiskan EX photometer (ThermoLabsystems, Finland) at a wavelength of 450 nm with a reference wavelength of 630 nm. The total concentrations of antibodies of different classes were determined from a calibration curve constructed using the provided standards and were expressed in mg/L for IgM and IgG, and in g/L for secretory IgA (sIgA). The immunoglobulin concentrations measured in saliva before and after treatment are summarized in <xref ref-type="table" rid="table1">
     Table 1
    </xref>. As commercial calibrators for sIgM are unavailable, those results are presented in arbitrary units.</p>
   <table-wrap id="table1">
    <label>
     <xref ref-type="table" rid="table1">
      Table 1
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.144188-"></xref>Table 1. Total immunoglobulin levels in saliva (Me [LQ-UQ]).</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="acenter" width="13.80%"><p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="43.10%" colspan="2"><p style="text-align:center">Group 1: Antibiotic (n = 10)</p></td> 
      <td class="custom-bottom-td acenter" width="43.11%" colspan="2"><p style="text-align:center">Group 2: Tskaltubo Water (n = 10)</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="13.80%"><p style="text-align:center"></p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="21.55%"><p style="text-align:center">Before surgery</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="21.55%"><p style="text-align:center">After surgery</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="21.55%"><p style="text-align:center">Before surgery</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="21.56%"><p style="text-align:center">After surgery</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="13.80%"><p style="text-align:center">IgG (mg/L)</p></td> 
      <td class="custom-top-td acenter" width="21.55%"><p style="text-align:center">26.34 (12.95 - 46.90)</p></td> 
      <td class="custom-top-td acenter" width="21.55%"><p style="text-align:center">17.35 (12.78 - 38.18)</p></td> 
      <td class="custom-top-td acenter" width="21.55%"><p style="text-align:center">33.7 (25.54 - 42.17)</p></td> 
      <td class="custom-top-td acenter" width="21.56%"><p style="text-align:center">31.5 (25.18 - 52.25)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="13.80%"><p style="text-align:center">IgM (mg/L)</p></td> 
      <td class="acenter" width="21.55%"><p style="text-align:center">50.00 (40.24 - 100.23)</p></td> 
      <td class="acenter" width="21.55%"><p style="text-align:center">105.5 (21.40 - 373.00)</p></td> 
      <td class="acenter" width="21.55%"><p style="text-align:center">30.1 (10.76 - 45.50)</p></td> 
      <td class="acenter" width="21.56%"><p style="text-align:center">33.92 (8.75 - 55.23)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="13.80%"><p style="text-align:center">sIgA (g/L)</p></td> 
      <td class="acenter" width="21.55%"><p style="text-align:center">5.25 (3.31 - 9.49)</p></td> 
      <td class="acenter" width="21.55%"><p style="text-align:center">7.50 (4.31 - 22.76)</p></td> 
      <td class="acenter" width="21.55%"><p style="text-align:center">10.15 (5.76 - 15.31)</p></td> 
      <td class="acenter" width="21.56%"><p style="text-align:center">7.17 (5.18 - 14.13)</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>On the seventh postoperative day, changes in IgM and sIgM levels were assessed individually for each patient. Interestingly, the trends in sIgM levels closely mirrored those of total IgM in both groups. These individual immunoglobulin dynamics are illustrated in <xref ref-type="table" rid="table1">
     Table 1
    </xref>, which shows the parallel trends of total IgM and sIgM across both treatment groups.</p>
   <p>In Group 1 (antibiotic therapy), a notable two-fold increase in sIgM was observed postoperatively, rising from 1.07 units (0.48 - 3.66) to 2.34 units (0.43 - 5.86). This corresponded with a marked rise in total IgM levels, suggesting an amplified mucosal immune response potentially linked to antibiotic-induced disruption of microbial homeostasis <xref ref-type="bibr" rid="scirp.144188-13">
     [13]
    </xref>.</p>
   <p>In contrast, Group 2 (Tskaltubo radon water) showed no significant change in sIgM levels following surgery. The sIgM concentration decreased slightly, from 1.52 units (0.63 - 7.73) to 1.31 units (0.71 - 3.59), despite a modest increase in total IgM. These findings highlight a fundamental difference in local immune regulation between the two postoperative management strategies.</p>
   <p>The data suggest that antibiotic treatment may amplify early immune activation, while Tskaltubo water appears to support a more controlled or homeostatic response without excessive stimulation of the mucosal immune system. It is well established that the immune system contributes not only to antimicrobial defense but also to tissue repair. The reparative functions of immunity include the removal of damaged cells and orchestration of regeneration <xref ref-type="bibr" rid="scirp.144188-14">
     [14]
    </xref>.</p>
   <p>Interestingly, levels of IL-10—a key immunoregulatory cytokine secreted by regulatory T cells (Tregs)—significantly increased in the saliva of patients in Group 2 by the 7th day post-implantation. This suggests that Tskaltubo water may modulate the immune microenvironment, potentially enhancing immune homeostasis and supporting tissue regeneration through anti-inflammatory pathways, In summary, while both treatment protocols influenced immunoglobulin levels, the Tskaltubo water group exhibited a more stable IgM and sIgM profile and a rise in IL-10, indicating a potentially balanced and controlled local immune response. These results highlight a differential immunomodulatory effect of Tskaltubo radon-rich mineral water compared to standard antibacterial therapy <xref ref-type="bibr" rid="scirp.144188-15">
     [15]
    </xref>.</p>
   <p>The regulatory function that controls the intensity and coordination of immune processes is equally critical. Among the most pronounced immunological changes observed was the alteration in salivary IgM levels. In the antibiotic-treated group (Group 1), a twofold increase in both total IgM and secretory IgM (sIgM) was documented postoperatively. In contrast, the group treated with Tskaltubo water (Group 2) showed no significant elevation in either IgM or sIgM levels.</p>
   <p>IgM is well recognized for mediating the early-phase immune response to infection, a role predominantly executed at mucosal surfaces by its secretory form, sIgM <xref ref-type="bibr" rid="scirp.144188-14">
     [14]
    </xref>. Additionally, IgM plays an essential role in the clearance of damaged cells through apoptotic pathways, enabling tissue repair while minimizing the risk of excessive inflammation.</p>
   <p>Interestingly, the cytokine profiles of the two groups also diverged significantly. In the saliva of Group 1 patients (antibiotics), cytokine levels remained largely unchanged after surgery, despite ongoing reparative activity. Notably, levels of the regulatory cytokine interleukin-10 (IL-10) further decreased. Although antibiotic therapy is effective in suppressing pathogenic microorganisms, it also disrupts the resident commensal flora of mucosal surfaces—flora that is vital for maintaining colonization resistance and overall mucosal immune integrity. Furthermore, several antibiotics are known to exert immunosuppressive effects <xref ref-type="bibr" rid="scirp.144188-15">
     [15]
    </xref>. These findings suggest that while antibiotic therapy is essential for preventing postoperative infections, it may simultaneously suppress key components of the immune response, ultimately delaying tissue regeneration <xref ref-type="bibr" rid="scirp.144188-16">
     [16]
    </xref>.</p>
   <p>In contrast, the use of Tskaltubo radon-rich mineral water produced a different immunological profile. While similarly effective in suppressing pathogenic flora, this intervention preserved and possibly enhanced the mucosal immune response <xref ref-type="bibr" rid="scirp.144188-16">
     [16]
    </xref>. In Group 2, patients exhibited increased levels of interferon-gamma (IFN-γ) and interleukin-4 (IL-4), without a corresponding rise in proinflammatory cytokines such as IL-1 or IL-6. This indicates a measured activation of the immune system in response to surgical trauma. Most notably, IL-10 levels increased in this group, suggesting a heightened regulatory response and a more balanced immune environment conducive to controlled healing.</p>
  </sec>
 </body><back>
  <ref-list>
   <title>References</title>
   <ref id="scirp.144188-ref1">
    <label>1</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Anuforom, O., Wallace, G.R. and Piddock, L.V. (2014) The Immune Response and Antibacterial Therapy. Medical Microbiology and Immunology, 204, 151-159. &gt;https://doi.org/10.1007/s00430-014-0355-0
    </mixed-citation>
   </ref>
   <ref id="scirp.144188-ref2">
    <label>2</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Arulkumaran, N., Routledge, M., Schlebusch, S., Lipman, J. and Conway Morris, A. (2020) Antimicrobial-Associated Harm in Critical Care: A Narrative Review. Intensive Care Medicine, 46, 225-235. &gt;https://doi.org/10.1007/s00134-020-05929-3
    </mixed-citation>
   </ref>
   <ref id="scirp.144188-ref3">
    <label>3</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Dondoladze, K., Nikolaishvili, M. and Zurabashvili, D. (2021) The Effect of Balneotherapy on the Oxidative System and Changes in Anxiety Behavior, Enhanced by Low Doses of Radon. International Journal of Radiation Biology, 97, 1461-1469. &gt;https://doi.org/10.1080/09553002.2021.1956009
    </mixed-citation>
   </ref>
   <ref id="scirp.144188-ref4">
    <label>4</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Gentile, L.F., Cuenca, A.G., Efron, P.A., Ang, D., Bihorac, A., McKinley, B.A., et al. (2012) Persistent Inflammation and Immunosuppression: A Common Syndrome and New Horizon for Surgical Intensive Care. Journal of Trauma and Acute Care Surgery, 72, 1491-1501. &gt;https://doi.org/10.1097/ta.0b013e318256e000
    </mixed-citation>
   </ref>
   <ref id="scirp.144188-ref5">
    <label>5</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Gao, Z., Chen, Y. and Guan, M. (2017) Mitochondrial DNA Mutations Associated with Aminoglycoside Induced Ototoxicity. Journal of Otology, 12, 1-8. &gt;https://doi.org/10.1016/j.joto.2017.02.001
    </mixed-citation>
   </ref>
   <ref id="scirp.144188-ref6">
    <label>6</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bouayed, J., Rammal, H. and Soulimani, R. (2009) Oxidative Stress and Anxiety: Relationship and Cellular Pathways. Oxidative Medicine and Cellular Longevity, 2, 63-67. &gt;https://doi.org/10.4161/oxim.2.2.7944
    </mixed-citation>
   </ref>
   <ref id="scirp.144188-ref7">
    <label>7</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Drifte, G., Dunn-Siegrist, I., Tissières, P. and Pugin, J. (2013) Innate Immune Functions of Immature Neutrophils in Patients with Sepsis and Severe Systemic Inflammatory Response Syndrome. Critical Care Medicine, 41, 820-832. &gt;https://doi.org/10.1097/ccm.0b013e318274647d
    </mixed-citation>
   </ref>
   <ref id="scirp.144188-ref8">
    <label>8</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Miller, M., Melis, M.J., Miller, J.R.C., Kleyman, A., Shankar-Hari, M. and Singer, M. (2023) Antibiotics, Sedatives, and Catecholamines Further Compromise Sepsis-Induced Immune Suppression in Peripheral Blood Mononuclear Cells. Critical Care Medicine, 52, 596-606. &gt;https://doi.org/10.1097/ccm.0000000000006119
    </mixed-citation>
   </ref>
   <ref id="scirp.144188-ref9">
    <label>9</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Rudd, K.E., Johnson, S.C., Agesa, K.M., Shackelford, K.A., Tsoi, D., Kievlan, D.R., et al. (2020) Global, Regional, and National Sepsis Incidence and Mortality, 1990-2017: Analysis for the Global Burden of Disease Study. The Lancet, 395, 200-211. &gt;https://doi.org/10.1016/s0140-6736(19)32989-7
    </mixed-citation>
   </ref>
   <ref id="scirp.144188-ref10">
    <label>10</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Jacqueline, C., Broquet, A., Roquilly, A., Davieau, M., Caillon, J., Altare, F., et al. (2014) Linezolid Dampens Neutrophil-Mediated Inflammation in Methicillin-Resistant Staphylococcus aureus-Induced Pneumonia and Protects the Lung of Associated Damages. Journal of Infectious Diseases, 210, 814-823. &gt;https://doi.org/10.1093/infdis/jiu145
    </mixed-citation>
   </ref>
   <ref id="scirp.144188-ref11">
    <label>11</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Nikolaishvili, M., Nanobashvili, Z., Mitagvaria, N., Chkadua, G., Museliani, T., Dondoladze, K., et al. (2022) Assessment of Integrated Antioxidant Systems and Hormezis Effect of Radon in Experimental Studies. Journal of Biosciences and Medicines, 10, 212-227. &gt;https://doi.org/10.4236/jbm.2022.103020
    </mixed-citation>
   </ref>
   <ref id="scirp.144188-ref12">
    <label>12</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Nikolaishvili, M., Nanobashvili, Z. and Mitagvaria, N. (2021) Radon Hormesis in Epileptic Pathogenesis and Predictors of Oxidative Stress. Georgian Medical News, No. 313, 152-158.
    </mixed-citation>
   </ref>
   <ref id="scirp.144188-ref13">
    <label>13</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Santacroce, E., D’Angerio, M., Ciobanu, A.L., Masini, L., Lo Tartaro, D., Coloretti, I., et al. (2024) Advances and Challenges in Sepsis Management: Modern Tools and Future Directions. Cells, 13, Article 439. &gt;https://doi.org/10.3390/cells13050439
    </mixed-citation>
   </ref>
   <ref id="scirp.144188-ref14">
    <label>14</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Snow, T.A.C., Longobardo, A., Brealey, D., Down, J., Satta, G., Singer, M., et al. (2022) Beneficial ex Vivo Immunomodulatory and Clinical Effects of Clarithromycin in Covid-19. Journal of Infection and Chemotherapy, 28, 948-954. &gt;https://doi.org/10.1016/j.jiac.2022.04.001
    </mixed-citation>
   </ref>
   <ref id="scirp.144188-ref15">
    <label>15</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Tosi, M., Coloretti, I., Meschiari, M., De Biasi, S., Girardis, M. and Busani, S. (2024) The Interplay between Antibiotics and the Host Immune Response in Sepsis: From Basic Mechanisms to Clinical Considerations: A Comprehensive Narrative Review. Antibiotics, 13, Article 406. &gt;https://doi.org/10.3390/antibiotics13050406
    </mixed-citation>
   </ref>
   <ref id="scirp.144188-ref16">
    <label>16</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Vincent, J., Jones, G., David, S., Olariu, E. and Cadwell, K.K. (2019) Frequency and Mortality of Septic Shock in Europe and North America: A Systematic Review and Meta-Analysis. Critical Care, 23, Article No. 196. &gt;https://doi.org/10.1186/s13054-019-2478-6
    </mixed-citation>
   </ref>
  </ref-list>
 </back>
</article>