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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2022.860526</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Increased Cytokine Levels Assist in the Diagnosis of Respiratory Bacterial Infections or Concurrent Bacteremia in Patients With Non-Hodgkin&#x2019;s Lymphoma</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Lihua</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1279319"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Jinping</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>He</surname>
<given-names>Haiping</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ling</surname>
<given-names>Xiaosui</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Fan</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Zefeng</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Jinlian</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Huiyuan</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Tonghua</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Shixiang</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shi</surname>
<given-names>Keqian</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Guan</surname>
<given-names>Xin</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhao</surname>
<given-names>Renbin</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Zengzheng</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1421431"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Hematology, The First People&#x2019;s Hospital of Yunnan Province, Affiliated Hospital of Kunming University of Science and Technology</institution>, <addr-line>Kunming</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Yunnan Blood Disease Clinical Medical Center, The First People&#x2019;s Hospital of Yunnan Province</institution>, <addr-line>Kunming</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Yunnan Blood Disease Hospital, The First People&#x2019;s Hospital of Yunnan Province</institution>, <addr-line>Kunming</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>National Key Clinical Specialty of Hematology, The First People&#x2019;s Hospital of Yunnan Province</institution>, <addr-line>Kunming</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Yang Zhang, University of Pennsylvania, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Sixiang Yu, University of Pennsylvania, United States; Navid Omidifar, Shiraz University of Medical Sciences, Iran; Hao Zhang, University of Pennsylvania, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xin Guan, <email xlink:href="mailto:61801064@qq.com">61801064@qq.com</email>; Renbin Zhao, <email xlink:href="mailto:Zhaorenbin@126.com">Zhaorenbin@126.com</email>; Zengzheng Li, <email xlink:href="mailto:Lizengzheng@126.com">Lizengzheng@126.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Clinical Microbiology, a section of the journal Frontiers in Cellular and Infection Microbiology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>12</volume>
<elocation-id>860526</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Zhang, Zhang, He, Ling, Li, Yang, Zhao, Li, Yang, Zhao, Shi, Guan, Zhao and Li</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Zhang, Zhang, He, Ling, Li, Yang, Zhao, Li, Yang, Zhao, Shi, Guan, Zhao and Li</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Non-Hodgkin&#x2019;s lymphoma (NHL) is a form of tumor that originates in the lymphoid tissues. Bacterial infections are very common in NHL patients. Because most of the patients do not experience apparent symptoms during the initial stage of infection, it is difficult to detect the underlying condition before it progresses to a more critical level. The activation of the cytokines is a hallmark of inflammation. Due to the advantages of short detection time and high sensitivity of cytokines, many studies have focused on relationship between cytokines and infection. However, few studies have been conducted on NHL patients with infection. Therefore, we reviewed the cytokine profiles of 229 newly diagnosed NHL patients and 40 healthy adults to predict respiratory bacterial infection and bacteremia. Our findings revealed that IL-6(41.67 vs 9.50 pg/mL), IL-8(15.55 vs 6.61 pg/mL), IL-10(8.02 vs 4.52 pg/mL),TNF-&#x3b2;(3.82 vs 2.96 pg/mL), IFN- &#x3b3;(4.76 vs 2.96 pg/mL), body temperature(37.6 vs 36.5&#xb0;C), CRP(20.80 vs 4.37 mg/L), and PCT(0.10 vs 0.04 ng/mL) levels were considerably greater in NHL cases with respiratory bacterial infections relative to NHL cases without infection (P&lt;0.05). Furthermore, IL-6(145.00 vs 41.67 pg/mL), IL-8(34.60 vs 15.55 pg/mL),temperature(38.4 vs 37.6&#xb0;C), PCT(0.79 vs 0.10 ng/mL), and CRP(93.70 vs 20.80 mg/L) levels in respiratory infectious NHL patients with more severe bacteremia were considerably elevated than in patients with respiratory bacterial infections only (P&lt;0.05). Remarkably, increased levels of IL-6 and IL-8 are effective in determining whether or not pulmonary bacterial infectious NHL patients have bacteremia. Temperature, PCT, and CRP all have lower sensitivity and specificity than IL-6. IL-6 &#x2265;18.79pg/mL indicates the presence of pulmonary bacterial infection in newly diagnosed NHL patients, and IL-6 &#x2265;102.6pg/mL may suggest pulmonary bacterial infection with bacteremia. In short, this study shows that cytokines can be advantageous in the diagnosis and differentiation of pulmonary bacterial infection and bacteremia in newly diagnosed NHL patients and may also guide for the use of clinical antibiotics.</p>
</abstract>
<kwd-group>
<kwd>cytokines</kwd>
<kwd>IL-6</kwd>
<kwd>IL-8</kwd>
<kwd>respiratory bacterial infection</kwd>
<kwd>bacteremia</kwd>
<kwd>non-Hodgkin&#x2019;s lymphoma (NHL)</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<counts>
<fig-count count="2"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="48"/>
<page-count count="9"/>
<word-count count="4862"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Non-Hodgkin&#x2019;s lymphoma (NHL) is a form of tumor that originates in the lymphoid tissues. NHL patients are at significant risk of infection because of the immunosuppression induced by the malignant tumor and the extreme bone marrow suppression following tumor chemotherapy. Moreover, severe infections are mostly caused by bacteremia, which results in disrupting the therapeutic effects of the treatment and increasing the mortality rate of NHL patients (<xref ref-type="bibr" rid="B13">Jemal et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B2">Armitage et&#xa0;al., 2017</xref>), and is an independent prognostic criterion in lymphoma patients (<xref ref-type="bibr" rid="B8">Dendle et&#xa0;al., 2017</xref>). Infections of the lungs are common in NHL patients. Because most patients do not experience apparent symptoms during the initial stage of infection, it is difficult to detect the underlying condition before it progresses to a more critical level. To reduce the risk of death from serious infections, it is necessary to assess respiratory infections in NHL patients and develop effective early therapies. This emphasizes the importance of biomarkers in the accurate and timely diagnosis of infection and bacteremia.</p>
<p>Inflammatory biomarkers, including C-reactive protein (CRP) and pro-calcitonin (PCT), are routinely utilized for the diagnosis of clinical infection (<xref ref-type="bibr" rid="B38">Shokripour et&#xa0;al., 2020</xref>). CRP is an acute-phase reactant that is released in response to infection, tissue injury, and inflammation and is mediated by cytokines, such as interleukin-6, and -1 (<xref ref-type="bibr" rid="B34">Pepys and Baltz, 1983</xref>). Multiple factors, including malignancy, anti-inflammatory medicine, and the perioperative phase, can influence CRP levels, making it difficult to evaluate when detected outcomes fluctuate significantly (<xref ref-type="bibr" rid="B31">Nizri et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B15">Jukic et&#xa0;al., 2015</xref>). PCT is a pro-peptide of calcitonin, which is generally synthesized by the thyroid gland&#x2019;s C cells. PCT levels in healthy people are very low (less than 0.05 ng/mL), but their levels can be considerably raised in patients with serious septic shock or sepsis (<xref ref-type="bibr" rid="B25">Maruna et&#xa0;al., 2000</xref>). Moreover, in cancer patients, the value of PCT may increase due to metastasis, the neuroendocrine function of malignant cells (<xref ref-type="bibr" rid="B42">Whicher et&#xa0;al., 2001</xref>), or the production of pro-inflammatory cytokines (<xref ref-type="bibr" rid="B24">MacDonald, 2007</xref>). Furthermore, imaging data can be utilized for the diagnosis of bacterial infections; although their sensitivity is limited, specifically in the initial phase of infection. Therefore, patients with malignant tumors need to be combined with other novel markers to make a more accurate diagnosis of infection.</p>
<p>In recent years, cytokines have gained a lot of attention as novel inflammatory indicators that perform a considerable task in the diagnosis of infection. Activated immune cells produce cytokines that enhance the host&#x2019;s defense against bacterial and viral infections (<xref ref-type="bibr" rid="B1">Akdis et&#xa0;al., 2016</xref>). However, abnormal level of cytokines has been linked with the occurrence and severity of several infections. The reported studies revealed that interleukin-6 (IL-6) is a key modulator of the inflammatory response in the initial phase of sepsis, which is closely associated with organ failure (<xref ref-type="bibr" rid="B4">Bian et&#xa0;al., 2017</xref>). IL-8 and IL-6 are also abnormally raised in urinary tract infections in non-febrile patients (<xref ref-type="bibr" rid="B36">Rinc&#xf3;n-L&#xf3;pez et&#xa0;al., 2021</xref>). Abnormal expressions of IL-6, -8, and -10 have been found in acquired pneumonia (<xref ref-type="bibr" rid="B33">Paats et&#xa0;al., 2013</xref>), and significant disruption of cytokines, such as IL-6 and -8 has also been observed in patients infected with COVID-19, which is associated with the severity of infection (<xref ref-type="bibr" rid="B5">B&#xfc;low Anderberg et&#xa0;al., 2021</xref>). The level of IL-6 can guide management of children with febrile neutropenia and are more specific and sensitive than CRP in the diagnosis of bacteremia/sepsis. IL-6 levels can differentiate gram-positive and gram-negative bacteremia and can predict the survival outcomes (<xref ref-type="bibr" rid="B16">Karan, 2002</xref>; <xref ref-type="bibr" rid="B19">Kitanovski et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B46">Xu et&#xa0;al., 2013</xref>). In addition, cytokines, including IL-6/IL-10/TNF-&#x3b1;/IFN-&#x3b3; can be used for rapid and timely diagnosis of infection in children with hematological malignancy (<xref ref-type="bibr" rid="B40">Tang et&#xa0;al., 2011</xref>). The cytokine pattern of IL-6/IL-10 has more remarkable diagnostic precision in bacteremia and severe infection in children with hematological tumors than PCT (<xref ref-type="bibr" rid="B44">Xia et&#xa0;al., 2016</xref>). This evidence suggests that changes in inflammatory cytokines are closely related to infection. In addition, the detection methods of cytokines include real-time quantitative PCR, ELISA, and flow cytometry, among which flow cytometry is increasingly favored for its advantages of high accuracy, small sample size, and fast detection time (i.e., 3-4 hours) (<xref ref-type="bibr" rid="B7">Cook et&#xa0;al., 2001</xref>).</p>
<p>The therapeutic value and cost-effectiveness of various treatments should be evaluated as more technologies become available. Cytokines have previously been demonstrated to predict lung bacterial infection in recently diagnosed adult hematological malignancies (<xref ref-type="bibr" rid="B23">Li et&#xa0;al., 2021</xref>). In order to evaluate the predictive impact of cytokines for respiratory bacterial infection and respiratory infection associated with bacteremia in NHL, we examined the body temperature, cytokine profile, PCT, and CRP of 229 newly diagnosed NHL patients.</p>
</sec>
<sec id="s2">
<title>Material and Methods</title>
<sec id="s2_1">
<title>Patient Characteristics and Diagnostic as Well as Inclusion Criteria</title>
<p>We examined a retrospective analysis of 40 healthy people and 229 adults newly diagnosed NHL patients who did not receive any treatment (such as antibiotics and chemotherapy) from January 1, 2018, to January 1, 2021, at the Department of Hematology, the First People&#x2019;s Hospital of Yunnan Province. CRP, PCT, and cytokines were also measured in 40 healthy individuals. The age of all contributors was &#x2265; 18 years, 76 of the 229 cases had a confirmed respiratory bacterial infection alone, 15 patients diagnosed respiratory bacterial infection with bacteremia, and the remaining 138 patients were free of infection. Before therapy, all patients&#x2019; PCT, CRP, Th1/Th2/Th17 cytokine profiles, and body temperature (axillary temperature) were recorded. This study included only NHL patients with bacterial lung infection or bacterial lung infection in combination with bacteremia. Patients who were infected with viruses, fungi, or other pathogens were excluded from the study.</p>
<p>Refer to the following diagnostic criteria for bacterial lung infection (<xref ref-type="bibr" rid="B22">Lim et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B27">Metlay et&#xa0;al., 2019</xref>): Regardless of the presence or absence of bacterial cells in respiratory specimens, suspected or confirmed bacterial lung infections were characterized according to clinical and laboratory guidelines. Clinical criteria included a worsening or new cough, shortness of breath, hypoxia, or dyspnea. Additional adjunct examinations included chest X-rays to reveal inflammatory changes and sputum cultures to find infections. A chest CT scan was conducted to rule out respiratory infection in some patients with a suspected lung infection. Bacteremia is described as a positive blood culture that is accompanied by infection-related clinical symptoms (<xref ref-type="bibr" rid="B6">Chirouze et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B43">Wiggers et&#xa0;al., 2016</xref>).When coagulase-negative staphylococcus, corynebacterium, or bacillus are found in single blood culture, the culture is regarded as contaminated or indicates transient bacteremia, but not an episode of bacteremia. Patients who have a single positive blood culture and those who do not have a positive blood culture are classified as having a non-bacteremia episode. The research was executed following the Declaration of Helsinki, and the Ethics Committee of Yunnan Province&#x2019;s First People&#x2019;s Hospital gave its approval. All of the patients gave their informed consent.</p>
</sec>
<sec id="s2_2">
<title>Evaluation of Cytokine Level</title>
<p>The AimPlex bead-based assay (QuantoBio, Tianjin, China) was utilized to evaluate serum cytokine levels (Th1/Th2/Th17), comprising IL-1&#x3b2;, -2, -4, -5, -6, -8, -10, -12P70, -17A, -17F, -22, tumor necrosis factor (TNF) -&#x3b1; and -&#x3b2;, as well as interferon-&#x3b3; (IFN-&#x3b3;), and the detection limit was 1 to 2500 pg/mL.</p>
</sec>
<sec id="s2_3">
<title>Statistical Evaluations</title>
<p>For data description, descriptive statistics were used. Median and Inter Quartile Range (IQR) were employed for the representation of continuous data, whereas percentages and frequencies were used to explain categorical variables. A normality test was performed on the data to determine whether it was distributed normally. The Student&#x2019;s T-test and the Mann-Whitney U test were then implemented for the evaluation of mean variations between two groups with normal and non-normal distributions, accordingly. The Spearman test was used to analyze the correlation between continuous variables and categorical variables. We used a ROC curve to compute the area under the curve (AUC) in order to appraise the diagnostic efficacy of PCT, CRP, and cytokines. The highest Youden index (sensitivity + specificity &#x2013; 1) was used to find the optimum cut-off value. The distribution map was created using GraphPad Prism 7 and IBM SPSS 21.0 (Armonk, NY, USA) was implemented for statistical assessments.P-value &lt;0.05 (two-sided) was considered statistically meaningful.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Patients&#x2019; Demographics and Clinical Characteristics</title>
<p>The basic clinical features of patients are given in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The analysis included 229 NHL patients, including 130 males (56.7%) and 99 females (43.3%), with a mean age of 53 years (range 37-62 years). B-cell NHL was found in approximately 71.2% (163/229) of patients, while T-cell and NK-cell lymphoma were found in 19.2% (44/229) and 9.6% (22/229) of patients, respectively. About 74.7% (171/229) of patients had tumors that were stage III or higher. The average body temperature of 43.2% (99/229) of patients was 37.3&#xb0;C. About 91 patients had bacterial infections (76 had a respiratory infection only, and 15 had a respiratory infection with bacteremia), while the remaining 138 patients had no infection.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Clinical characteristics of all patients (n=229).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<th valign="top" align="center"/>
<th valign="top" align="center">No. of episodes (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age [years, mean (range)]</td>
<td valign="top" align="left">&#x2014;</td>
<td valign="top" align="center">53 (37-62)</td>
</tr>
<tr>
<td valign="top" align="left">Gender</td>    <td valign="top" align="left">Male</td>
<td valign="top" align="center">130 (56.7%)</td>
</tr>
<tr>
<td valign="top" align="left"/>    <td valign="top" align="left">Female</td>
<td valign="top" align="center">99 (43.3%)</td>
</tr>
<tr>
<td valign="top" align="left">IPI (scores)</td>    <td valign="top" align="left">0-2</td>
<td valign="top" align="center">113 (49.3%)</td>
</tr>
<tr>
<td valign="top" align="left"/>    <td valign="top" align="left">3-5</td>
<td valign="top" align="center">116 (50.7%)</td>
</tr>
<tr>
<td valign="top" align="left">ECOG (scores)</td>    <td valign="top" align="left">0-2</td>
<td valign="top" align="center">132 (57.6%)</td>
</tr>
<tr>
<td valign="top" align="left"/>    <td valign="top" align="left">3-5</td>
<td valign="top" align="center">97 (42.4%)</td>
</tr>
<tr>
<td valign="top" align="left">Tumor Stage</td>    <td valign="top" align="left">I-II</td>
<td valign="top" align="center">58 (25.3%)</td>
</tr>
<tr>
<td valign="top" align="left"/>    <td valign="top" align="left">III-IV</td>
<td valign="top" align="center">171 (74.7%)</td>
</tr>
<tr>
<td valign="top" align="left">Classification of NHL</td>    <td valign="top" align="left">T</td>
<td valign="top" align="center">44 (19.2%)</td>
</tr>
<tr>
<td valign="top" align="left"/>    <td valign="top" align="left">B</td>
<td valign="top" align="center">163 (71.2%)</td>
</tr>
<tr>
<td valign="top" align="left"/>    <td valign="top" align="left">NK/T</td>
<td valign="top" align="center">22 (9.6%)</td>
</tr>
<tr>
<td valign="top" align="left">Chemotherapy</td>    <td valign="top" align="left">CHOP &#xb1; rituximab</td>
<td valign="top" align="center">150 (65.5%)</td>
</tr>
<tr>
<td valign="top" align="left"/>    <td valign="top" align="left">Others</td>
<td valign="top" align="center">79 (34.5%)</td>
</tr>
<tr>
<td valign="top" align="left">Temperature (&#xb0;C)</td>    <td valign="top" align="left">&lt;37.3</td>
<td valign="top" align="center">130 (56.8%)</td>
</tr>
<tr>
<td valign="top" align="left"/>    <td valign="top" align="left">&#x2265;37.3</td>
<td valign="top" align="center">99 (43.2%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NK, natural killer; CHOP, cyclophosphamide, doxorubicin, vincristine, prednisone.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Comparison of Serum CRP, PCT, and Cytokine Levels of NHL Patients With or Without Bacterial Respiratory Infection</title>
<p>Pulmonary infection is considered to be among the most complicated hematologic malignancies to diagnose. It is common in newly diagnosed patients. Therefore, we analyzed patients with and without respiratory bacterial infection (excluding those with bacteremia). The results showed that the body temperature, CRP, PCT, IL-6, IL-8, IL-10, TNF-&#x3b2;, and IFN-&#x3b3; levels of patients with respiratory bacterial infection were 37.6&#xb0;C, 20.80mg/L, 0.10 ng/mL, 41.67 pg/mL, 15.55 pg/mL, 8.02 pg/mL, 3.82 pg/mL, and 4.76 pg/mL, respectively.While, the levels of above indicators were found to be significantly lowered in patients without infection, i.e., 36.5&#xb0;C, 4.37 mg/L, 0.04 ng/mL, 9.50 pg/mL, 6.61 pg/mL, 4.52 pg/mL, 2.96 pg/mL and 2.96 pg/mL, accordingly (P &lt; 0.05) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> and <xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A&#x2013;E</bold>
</xref> and <xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figures&#xa0;1A&#x2013;C</bold>
</xref>). When other indicators were compared, no significant differences were observed (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Next, we evaluated the predictive ability of each significant indicator through the ROC curve (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> and <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). We found that the indicators with significant AUC were body temperature (AUC = 0.82), CRP (AUC = 0.80), PCT (AUC = 0.89), IL-6 (AUC = 0.92), IL-8 (AUC = 0.78), IL-10 (AUC = 0.73), IFN-&#x3b3; (AUC = 0.71) and TNF-&#x3b2; (AUC = 0.66), as demonstrated in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>. Cut-off values of these indicators were 37.4&#xb0;C, 7.95 mg/L, 0.08 ng/mL, 18.79 pg/mL, 9.05 pg/mL, 5.74 pg/mL, 4.52 pg/mL and 3.6 pg/mL, accordingly (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Comparison of serum CRP, PCT and cytokine levels in NHL patients with or without bacterial respiratory infection.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Parameters</th>
<th valign="top" align="center">Healthy group<sup>#</sup> (n=40)</th>
<th valign="top" align="center">No infection<sup>#</sup> (n=138)</th>
<th valign="top" align="center">Bacterial respiratory infection only (n=76)</th>
<th valign="top" align="center">P-value</th>
<th valign="top" align="center">Cut-offvalue</th>
<th valign="top" align="center">AUC</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Temperature (&#xb0;C)</td>
<td valign="top" align="center">36.3 (36.2-37.0)<sup>ns</sup>
</td>
<td valign="top" align="center">36.5 (36.4-36.7)</td>
<td valign="top" align="center">37.6 (36.8-38.1)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">37. 4</td>
<td valign="top" align="center">0.82</td>
</tr>
<tr>
<td valign="top" align="left">CRP (mg/L)</td>
<td valign="top" align="center">4.50 (1.80-5.55)<sup>ns</sup>
</td>
<td valign="top" align="center">4.37 (2.19-5.64)</td>
<td valign="top" align="center">20.80 (12.20-66.85)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">7.95</td>
<td valign="top" align="center">0.80</td>
</tr>
<tr>
<td valign="top" align="left">PCT (ng/mL)</td>
<td valign="top" align="center">0.03 (0.03-0.05)<sup>ns</sup>
</td>
<td valign="top" align="center">0.04 (0.03-0.05)</td>
<td valign="top" align="center">0.10 (0.06-0.21)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.89</td>
</tr>
<tr>
<td valign="top" align="left">IL-4 (pg/mL)</td>
<td valign="top" align="center">2.88 (2.08-3.97)<sup>ns</sup>
</td>
<td valign="top" align="center">2.44 (1.52-3.50)</td>
<td valign="top" align="center">2.54 (1.65-3.95)</td>
<td valign="top" align="center">0.118</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">IL-5 (pg/mL)</td>
<td valign="top" align="center">1.66 (1.24-2.13)<sup>*</sup>
</td>
<td valign="top" align="center">2.35 (1.84-3.16)</td>
<td valign="top" align="center">2.41 (1.85-3.38)</td>
<td valign="top" align="center">0.495</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">IL-6 (pg/mL)</td>
<td valign="top" align="center">3.22 (2.30-4.45)<sup>****</sup>
</td>
<td valign="top" align="center">9.50 (5.41-13.34)</td>
<td valign="top" align="center">41.67 (22.31-152.78)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">18.79</td>
<td valign="top" align="center">0.92</td>
</tr>
<tr>
<td valign="top" align="left">IL-8 (pg/mL)</td>
<td valign="top" align="center">3.68 (2.42-5.54)<sup>****</sup>
</td>
<td valign="top" align="center">6.61 (3.84-12.23)</td>
<td valign="top" align="center">15.55 (9.13-36.29)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">9.05</td>
<td valign="top" align="center">0.78</td>
</tr>
<tr>
<td valign="top" align="left">IL-10 (pg/mL)</td>
<td valign="top" align="center">4.01 (2.94-4.67)<sup>ns</sup>
</td>
<td valign="top" align="center">4.52 (3.52-6.74)</td>
<td valign="top" align="center">8.02 (4.76-24.25)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">5.74</td>
<td valign="top" align="center">0.73</td>
</tr>
<tr>
<td valign="top" align="left">IL-12P70 (pg/mL)</td>
<td valign="top" align="center">5.54 (4.68-6.65)<sup>***</sup>
</td>
<td valign="top" align="center">3.84 (3.15-4.97)</td>
<td valign="top" align="center">4.28 (3.60-5.46)</td>
<td valign="top" align="center">0.161</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">IL-1&#x3b2; (pg/mL)</td>
<td valign="top" align="center">1.63 (1.17-2.10)<sup>ns</sup>
</td>
<td valign="top" align="center">1.84 (1.30-2.36)</td>
<td valign="top" align="center">1.74 (1.38-2.32)</td>
<td valign="top" align="center">0.859</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">IL-2 (pg/mL)</td>
<td valign="top" align="center">3.59 (2.31-5.93)<sup>ns</sup>
</td>
<td valign="top" align="center">3.12 (2.29-4.30)</td>
<td valign="top" align="center">3.09 (1.90-4.21)</td>
<td valign="top" align="center">0.905</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">IFN-&#x3b3; (pg/mL)</td>
<td valign="top" align="center">2.27 (1.84-3.01)<sup>ns</sup>
</td>
<td valign="top" align="center">2.96 (1.98-4.41)</td>
<td valign="top" align="center">4.76 (2.95-9.64)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">4.52</td>
<td valign="top" align="center">0.71</td>
</tr>
<tr>
<td valign="top" align="left">TNF-&#x3b1; (pg/mL)</td>
<td valign="top" align="center">2.00 (1.20-2.79)<sup>***</sup>
</td>
<td valign="top" align="center">3.02 (2.17-4.43)</td>
<td valign="top" align="center">3.18 (2.38-4.80)</td>
<td valign="top" align="center">0.451</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">TNF-&#x3b2; (pg/mL)</td>
<td valign="top" align="center">3.01 (2.72-4.00)<sup>ns</sup>
</td>
<td valign="top" align="center">2.96 (1.73-3.72)</td>
<td valign="top" align="center">3.82 (2.62-4.39)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">3.6</td>
<td valign="top" align="center">0.66</td>
</tr>
<tr>
<td valign="top" align="left">IL-17A (pg/mL)</td>
<td valign="top" align="center">1.80 (1.03-2.84)<sup>*</sup>
</td>
<td valign="top" align="center">2.52 (1.53-3.53)</td>
<td valign="top" align="center">2.61 (1.51-4.12)</td>
<td valign="top" align="center">0.476</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">IL-17F (pg/mL)</td>
<td valign="top" align="center">2.81 (1.70-3.94)<sup>*</sup>
</td>
<td valign="top" align="center">3.88 (2.78-5.00)</td>
<td valign="top" align="center">3.18 (2.57-4.52)</td>
<td valign="top" align="center">0.232</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">IL-22 (pg/mL)</td>
<td valign="top" align="center">0.37 (0.11-0.77)<sup>****</sup>
</td>
<td valign="top" align="center">1.04 (0.47-1.76)</td>
<td valign="top" align="center">1.33 (0.76-1.88)</td>
<td valign="top" align="center">0.057</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Continuous variables were represented by median and quartile range (IQR). The optimal cut-off value was obtained by calculating the maximum Youden index (sensitivity + specificity &#x2013; 1). AUC is based on the area under the ROC curve shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>.</p>
</fn>
<fn>
<p>
<sup>#</sup>Comparison of Inflammatory indicators between heatthy group and NHL patients without infection. *P &lt; 0.05; ***P &lt; 0.001; ****P &lt; 0.0001; ns, not significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Plots of the levels of inflammatory biomarkers in NHL patients with various forms of infection: <bold>(A)</bold> IL-6, <bold>(B)</bold> IL-8, <bold>(C)</bold> CRP, <bold>(D)</bold> PCT, and <bold>(E)</bold> temperature. The median is shown by the horizontal lines. *<italic>P</italic> &lt; 0.05; **<italic>P</italic> &lt; 0.01; ****<italic>P</italic> &lt; 0.0001; (ns) Not significant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-12-860526-g001.tif"/>
</fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>ROC curves of serum CRP,PCT, IL-6, IL-8, IL-10,IFN-&#x3b3; and TNF-&#x3b2; levels of NHL patients with bacterial respiratory infection.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-12-860526-g002.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Comparison on serum CRP, PCT and cytokine levels of bacterial respiratory infectious NHL patients with or without bacteremia.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Parameters</th>
<th valign="top" colspan="2" align="center">Respiratory infectious NHL patients</th>
<th valign="top" rowspan="2" align="center">P-value</th>
<th valign="top" rowspan="2" align="center">Cut-offvalue</th>
<th valign="top" rowspan="2" align="center">AUC</th>
</tr>
<tr>
<th valign="top" align="center">With bacteremia (n=15)</th>
<th valign="top" align="center">Without bacteremia (n=76)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Temperature (&#xb0;C)</td>
<td valign="top" align="center">38.4 (38-38.7)</td>
<td valign="top" align="center">37.6 (36.8-38.1)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">38. 2</td>
<td valign="top" align="center">0.75</td>
</tr>
<tr>
<td valign="top" align="left">CRP (mg/L)</td>
<td valign="top" align="center">93.70 (34.70-178.36)</td>
<td valign="top" align="center">20.80 (12.20-66.85)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">20.65</td>
<td valign="top" align="center">0.72</td>
</tr>
<tr>
<td valign="top" align="left">PCT (ng/ml)</td>
<td valign="top" align="center">0.79 (0.13-1.93)</td>
<td valign="top" align="center">0.10 (0.06-0.21)</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">0.75</td>
</tr>
<tr>
<td valign="top" align="left">IL-4 (pg/mL)</td>
<td valign="top" align="center">3.24 (2.35-5.84)</td>
<td valign="top" align="center">2.54 (1.65-3.95)</td>
<td valign="top" align="center">0.063</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">IL-5 (pg/mL)</td>
<td valign="top" align="center">3.19 (1.58-3.99)</td>
<td valign="top" align="center">2.41 (1.85-3.38)</td>
<td valign="top" align="center">0.744</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">IL-6 (pg/mL)</td>
<td valign="top" align="center">145.00 (33.75-640.84)</td>
<td valign="top" align="center">41.67 (22.31-152.78)</td>
<td valign="top" align="center">0.039</td>
<td valign="top" align="center">102.6</td>
<td valign="top" align="center">0.76</td>
</tr>
<tr>
<td valign="top" align="left">IL-8 (pg/mL)</td>
<td valign="top" align="center">34.6 (17.47-58.46)</td>
<td valign="top" align="center">15.55 (9.13-36.29)</td>
<td valign="top" align="center">0.029</td>
<td valign="top" align="center">24.47</td>
<td valign="top" align="center">0.71</td>
</tr>
<tr>
<td valign="top" align="left">IL-10 (pg/mL)</td>
<td valign="top" align="center">25.45 (4.92-236.42)</td>
<td valign="top" align="center">8.02 (4.76-24.25)</td>
<td valign="top" align="center">0.115</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">IL-12P70 (pg/mL)</td>
<td valign="top" align="center">4.30 (3.88-5.79)</td>
<td valign="top" align="center">4.28 (3.60-5.46)</td>
<td valign="top" align="center">0.355</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">IL-1&#x3b2; (pg/mL)</td>
<td valign="top" align="center">2.17 (1.39-2.92)</td>
<td valign="top" align="center">1.74 (1.38-2.32)</td>
<td valign="top" align="center">0.484</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">IL-2 (pg/mL)</td>
<td valign="top" align="center">3.55 (2.15-6.21)</td>
<td valign="top" align="center">3.09 (1.90-4.21)</td>
<td valign="top" align="center">0.158</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">IFN-&#x3b3; (pg/mL)</td>
<td valign="top" align="center">6.50 (2.14-36.35)</td>
<td valign="top" align="center">4.76 (2.95-9.64)</td>
<td valign="top" align="center">0.477</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">TNF-&#x3b1; (pg/mL)</td>
<td valign="top" align="center">3.50 (1.97-4.97)</td>
<td valign="top" align="center">3.18 (2.38-4.80)</td>
<td valign="top" align="center">0.769</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">TNF-&#x3b2; (pg/mL)</td>
<td valign="top" align="center">4.38 (2.89-5.34)</td>
<td valign="top" align="center">3.82 (2.62-4.39)</td>
<td valign="top" align="center">0.246</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">IL-17A (pg/mL)</td>
<td valign="top" align="center">2.88 (1.88-6.25)</td>
<td valign="top" align="center">2.61 (1.51-4.12)</td>
<td valign="top" align="center">0.366</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">IL-17F (pg/mL)</td>
<td valign="top" align="center">4.19 (3.15-6.60)</td>
<td valign="top" align="center">3.18 (2.57-4.52)</td>
<td valign="top" align="center">0.268</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">IL-22 (pg/mL)</td>
<td valign="top" align="center">1.94 (0.51-2.88)</td>
<td valign="top" align="center">1.33 (0.76-1.88)</td>
<td valign="top" align="center">0.355</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Furthermore, IL-6 (9.50 vs 3.22pg/mL, P&lt; 0.05) and IL-8 (6.61 vs 3.68 pg/mL, P&lt; 0.05) levels were notably greater in non-infected NHL cases than in healthy individuals (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, <xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A&#x2013;E</bold>
</xref>). However, even if IL-6 and IL-8 were elevated in uninfected patients, the elevated levels were not nearly as high as in co-infected patients (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> and <xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A&#x2013;E</bold>
</xref>). Further comparison showed main cytokines, including IL-6 and IL-8, showed no significant difference in patients with different tumor stage (<xref ref-type="supplementary-material" rid="SF3">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). Correlation studies show that only&#xa0;IL-12P70 was negatively correlated with NHL stage, but the correlation was weak. No close correlation was found between other inflammatory factors and NHL stage (<xref ref-type="supplementary-material" rid="SF3">
<bold>Supplementary Table&#xa0;2</bold>
</xref>).</p>
</sec>
<sec id="s3_3">
<title>Comparison of Serum CRP, PCT, and Cytokine Levels of Bacterial Respiratory Infectious NHL Patients With or Without Bacteremia</title>
<p>The results in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> suggest that IL-6 is abnormally expressed in patients with a bacterial respiratory infection that can be used as a significant biomarker for the differentiation of infection. Herein, we compared patients who had a respiratory bacterial infection alone to those who had respiratory bacterial infection with bacteremia. The outcomes illustrated that the levels of body temperature, CRP, PCT, IL-6 and IL-8 in bacteremia patients were 38.4&#xb0;C, 93.7 mg/L, 0.79 ng/mL, 145.00 pg/mL and 34.6 pg/mL, respectively. While the levels of these indicators in patients with respiratory bacterial infection alone were 37.6&#xb0;C, 20.8 mg/L, 0.10 ng/mL, 41.67 pg/mL and 15.55 pg/mL, respectively (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> and <xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A&#x2013;E</bold>
</xref>, P &lt; 0.05). Other indicators revealed no considerable discrepancies between the two groups (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). The ROC curve was employed to further evaluate the diagnostic&#xa0;ability of body temperature, CRP, PCT, IL-6, and IL-8 in&#xa0;cases&#xa0;with respiratory bacterial infection and bacteremia (<xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>). In patients with respiratory bacteremia, the AUC values for body temperature, PCT, CRP, IL-6, and IL-8 were found to be 0.75, 0.75, 0.72, 0.76, and 0.71, accordingly. While their cut-off points were 38.2&#xb0;C, 20.65 mg/L, 0.57 ng/ml, 102.6 pg/ml, and 24.47 pg/ml, accordingly, as indicated in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Bacterial infection is prevalent among NHL patients associated with hematological malignancies, which often accompany the whole course of the disease and even affect the survival of patients. Among them, the pulmonary bacterial infection is difficult to diagnose in the initial stage of the infection and is further complicated by a variety of factors that can quickly proceed to severe infection. About 16% of patients&#x2019; deaths are caused by pulmonary infection (<xref ref-type="bibr" rid="B44">Xia et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B35">Periselneris and Brown, 2019</xref>). Therefore, it is critical to check for infection during the initial examination. Our obtained results revealed that IL-8 and IL-6 levels were comparatively lower in the uninfected patients than in co-infected patients. Further analysis showed that IL-6 and IL-8 are the cytokines that predict respiratory infection alone and respiratory infection with bacteremia. In particular, IL-6 is a more sensitive predictor of bacterial infection compared to PCT and CRP, and different levels of IL-6 predict different extents of infection.</p>
<p>IL-6 expression levels are abnormally elevated during infection. In addition, T and B lymphocyte development and differentiation are dependent on the expression of IL-6. As a pro-inflammatory cytokine, IL-6 performs a critical task in initiating antibacterial inflammation and can trigger a cascade of inflammatory mediators (<xref ref-type="bibr" rid="B4">Bian et&#xa0;al., 2017</xref>). IL-6 is produced by adipocytes, fibroblasts, keratinocytes, and endothelial cells in response to leukocyte invasion, but it is also stimulated by other cytokines, including IL-1 and TNF-&#x3b1;. IL-6 binds to membrane-bound IL-6R, which binds to signal transduction co-receptor glycoprotein 130 (GP130) to formulate the IL-6/IL-6R&#x3b1;/gp130 complex, then signal transduction occurs through the JAK-STAT pathway (<xref ref-type="bibr" rid="B3">Baran et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B30">Naseem et&#xa0;al., 2018</xref>). IL-6 classical signals can induce acute responses and are regarded to have anti-inflammatory and homeostatic impacts (<xref ref-type="bibr" rid="B37">Rose-John, 2017</xref>). Currently, IL-6 is considered to be a multifunctional cytokine, associated with various physiological processes, such as inflammation, immune response, and hematopoiesis. The steady-state IL-6 level in healthy people is about 1-10 pg/ml (<xref ref-type="bibr" rid="B18">Kishimoto et&#xa0;al., 1995</xref>), however, its serum level is significantly elevated during infection, inflammatory disease, or cancer progression and is correlated with improper disease prognosis (<xref ref-type="bibr" rid="B39">Taher et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B26">McElvaney et&#xa0;al., 2021</xref>). In severe sepsis, the concentration of IL-6 can reach 100&#x2013;1000 ng/mL (<xref ref-type="bibr" rid="B14">Jones, 2005</xref>). In this study, IL-6 levels were shown to be considerably greater in non-infected NHL cases than in healthy individuals, while IL-6 levels were significantly higher in infected NHL patients and linked with infection severity. It has been revealed that IL-6 also played a significant role in differentiating various degrees of bacterial infection in NHL patients. When IL-6 &#x2265; 18.79 pg/ml may suggest pulmonary bacterial infection, while IL-6 &#x2265; 102.6pg/ml may suggest pulmonary bacterial infection with bacteremia. This is comparable with previously published results, and IL-6 has a high value in distinguishing serious infections in clinical practices (<xref ref-type="bibr" rid="B16">Karan, 2002</xref>; <xref ref-type="bibr" rid="B19">Kitanovski et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B46">Xu et&#xa0;al., 2013</xref>). It has further been shown that the disease itself does not affect the susceptibility of IL-6 to bacterial infection in NHL patients.</p>
<p>Patients with respiratory bacterial infections have been shown to have abnormally expressed pro-inflammatory cytokines, including IL-6, IL-8, TNF-&#x3b2;, and IFN-&#x3b3;. Several reported studies have shown that these cytokines can be used as predictors of diverse sorts of infection. Abnormal expression of cytokines (IL-6, IL-10, IFN-&#x3b3;, and TNF) are similar in children experiencing acute lower respiratory tract infection. Furthermore, these cytokines also contribute to enterovirus infection, viral encephalitis (<xref ref-type="bibr" rid="B11">Fuchs et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B45">Xu et&#xa0;al., 2020</xref>), and nephritis (<xref ref-type="bibr" rid="B28">Mizutani et&#xa0;al., 2017</xref>) in children. Abnormal expression of IL-6 and IL-10 has also been found in children with acquired pneumonia (<xref ref-type="bibr" rid="B41">Vasconcellos et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B29">Nascimento-Carvalho et&#xa0;al., 2020</xref>). TNF-&#x3b1; and IFN-&#x3b3; are abnormally increased in bacterial infections but seem to be more significant biomarkers in Mycobacterium tuberculosis infection. The IFN-&#x3b3;/TNF-&#x3b1; dual release fluorescence point&#xa0;test is a simple and effective way to diagnose active tuberculosis (<xref ref-type="bibr" rid="B9">Dorhoi and Kaufmann, 2014</xref>; <xref ref-type="bibr" rid="B17">Kim et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B48">Zhang et&#xa0;al., 2021</xref>). IL-8 mediates its signaling through extracellular binding to two G-protein-coupled receptors (GPCRs), i.e., CXC-chemokine receptor 2 (CXCR2) and CXC-chemokine receptor 1 (CXCR1). Neutrophils can be recruited through this signal and their oxidative burst and particle release can be triggered to reduce inflammatory stimuli and boost bacterial clearance rates in inflammatory sites (such as the respiratory system) (<xref ref-type="bibr" rid="B12">Hartl et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B20">Lee et&#xa0;al., 2020</xref>).</p>
<p>IL-10, an anti-inflammatory factor, is used during infection to reduce tissue damage and immunopathology through suppressing pro-inflammatory responses induced with the aid of diverse immune cells (<xref ref-type="bibr" rid="B10">Engelhardt and Grimbacher, 2014</xref>; <xref ref-type="bibr" rid="B32">Ouyang and O&#x2019;Garra, 2019</xref>). In children with hematological malignancies, greater expression levels of IL-6 and IL-10 predict infection, and their high expression indicates the severity of the infection (<xref ref-type="bibr" rid="B47">Xu et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B44">Xia et&#xa0;al., 2016</xref>). Our previous study also proved that IL-10 is a risk factor for early death in secondary hemophagocytic syndrome cases with severe cytokine networks (<xref ref-type="bibr" rid="B21">Li et&#xa0;al., 2021</xref>). In this study, we found that IL-10 had some predictive effect on bacterial infection and respiratory bacterial infections, but its AUC did not have a strong advantage over body temperature, CRP, and PCT (<xref ref-type="table" rid="T2">
<bold>Tables&#xa0;2</bold>
</xref>, <xref ref-type="table" rid="T3">
<bold>3</bold>
</xref>, and <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A, B</bold>
</xref>). These evidences suggest that IL-10, IL-6, IL-8, TNF-&#x3b2;, and IFN-&#x3b3; are all abnormally expressed in infection. Particularly, IL-6, IL-10, and IL-8 can serve as predictive markers of infection. In brief, the development of an inflammatory response involves the activation of several cytokines (<xref ref-type="bibr" rid="B16">Karan, 2002</xref>; <xref ref-type="bibr" rid="B19">Kitanovski et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B40">Tang et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B46">Xu et&#xa0;al., 2013</xref>). Monitoring the variations in cytokine levels of NHL patients is critical for guiding the prevention and treatment of the underlined infection.</p>
<p>We emphasized the importance of IL-6 and IL-8 in bacterial infections. Simultaneously, we suggest that patients&#x2019; cytokine levels, notably IL-6, be assessed at the time of diagnosis to help detect bacterial infection in NHL patients. Our research has following limitations: 1. Our data is a single-center study; 2. We only included patients with bacterial infections and excluded data on fungal and viral infections since fungal and viral infections were discovered in fewer cases at the time of their initial diagnosis. This will be our focus in the future.</p>
</sec>
<sec id="s5">
<title>Conclusion</title>
<p>Our findings imply that an aberrant rise in many cytokines in newly diagnosed NHL cases can predict the presence of various levels of bacterial infection. IL-6, in particular, has superior sensitivity and accuracy to body temperature, PCT, and CRP. In newly diagnosed NHL patients, IL-6 &#x2265;18.79pg/mL could indicate the existence of pulmonary bacterial infection while IL-6 &#x2265;102.6pg/mL may suggest pulmonary bacterial infection with bacteremia. Although IL-6 level in co-infected NHL patients was significantly higher than non-infection patients and healthy people. And the benefits of IL-6 in detecting infection in NHL cases were also verified. It&#x2019;s also been proposed that NHL itself may not affect the susceptibility of sensitivity to bacterial infection. Briefly, these findings may aid in the identification and distinction of lung bacterial infection and the presence of bacteremia in newly diagnosed NHL patients, as well as suggest antibiotic treatment.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by The Ethics Committee of The First People&#x2019;s Hospital of Yunnan Province. The patients/partici5pants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author Contributions</title>
<p>All authors participated in the research and agreed to the publishing license. LZ and JPZ analyzed the data and drafted the manuscript. ZL, RZ, and XG designed the research plan, reviewed the manuscript and revised the main content. XL, FL, ZY, SZ, JLZ, and HL statistics. TY, KS, and HH checked the logic of the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author would like to thank the patients who participated in the treatment at the First People&#x2019;s Hospital and Kunming Junmai Technology Co. Ltd. for providing reagents and consumables. This work was supported by the National Natural Science Foundation of China (82060810) and Open Project of Yunnan Blood Clinical Medical Center (2019LCZXKF-XY11, 2019LCZXKF-XY03, 2019LCZXKF-XY09, 2020LCZXKF-XY07 and 2021LCZXXF-XY09).</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="s12" 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/fcimb.2022.860526/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcimb.2022.860526/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image_1.tif" id="SF1" mimetype="image/tiff"/>
<supplementary-material xlink:href="Image_2.tif" id="SF2" mimetype="image/tiff"/>
<supplementary-material xlink:href="DataSheet_1.docx" id="SF3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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