<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1611867</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Association between neutrophil-to-high-density lipoprotein cholesterol ratio (NHR) and psoriasis risk: a nationally representative cross-sectional study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Liang</surname>
<given-names>Huazheng</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="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2851949/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Si</surname>
<given-names>Wenyue</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2878150/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Huilan</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3159299/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Lin</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2878157/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Xin</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/842955/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yang</surname>
<given-names>Kaiying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1284664/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Pediatric Surgery, Guangzhou Women and Children&#x2019;s Medical Center, National Children&#x2019;s Medical Center for South Central Region, Guangzhou Medical University</institution>, <addr-line>Guangzhou</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>School of Pediatrics, Guangzhou Medical University</institution>, <addr-line>Guangzhou</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Science Research and Education Management, Guangzhou Women and Children&#x2019;s Medical Center, National Children&#x2019;s Medical Center for South Central Region, Guangzhou Medical University</institution>, <addr-line>Guangzhou</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>The Second School of Clinical Medicine, Guangzhou Medical University</institution>, <addr-line>Guangzhou</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Pediatric Surgery, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children&#x2019;s Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health</institution>, <addr-line>Guangzhou</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Laboratory of Clinical Proteomics and Metabolomics, Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University</institution>, <addr-line>Chengdu</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Jan St&#x119;pniak, Medical University of Lodz, Poland</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Yuxuan Tan, Wuhan University, China</p>
<p>Dafne Pav&#xe3;o Schattschneider, Federal University of Rio Grande do Sul, Brazil</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xin Li, <email xlink:href="mailto:m18640631873@163.com.">m18640631873@163.com.</email>; Kaiying Yang, <email xlink:href="mailto:yangkaiying1123@126.com">yangkaiying1123@126.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1611867</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Liang, Si, Huang, Li, Li and Yang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Liang, Si, Huang, Li, Li and Yang</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>
<sec>
<title>Objective</title>
<p>To investigate the association between the neutrophil-to-high-density lipoprotein cholesterol ratio (NHR) and the risk of psoriasis.</p>
</sec>
<sec>
<title>Methods</title>
<p>This cross-sectional study analyzed data from the National Health and Nutrition Examination Survey (NHANES) for the periods 2003&#x2013;2006 and 2009&#x2013;2014, including 21,723 adults aged &#x2265;20 years. Weighted multivariable logistic regression models were used to examine the association between NHR and psoriasis, with stepwise adjustments for demographic, metabolic parameters, and comorbid factors. Subgroup analyses, sensitivity analyses and smoothed curve fitting were conducted to assess the robustness and potential nonlinearity of the association.</p>
</sec>
<sec>
<title>Results</title>
<p>The prevalence of psoriasis was 2.75%. Multivariable regression revealed a significant positive association between elevated NHR levels and psoriasis risk (unadjusted model: OR = 1.11, 95% CI = 1.06&#x2013;1.16, <italic>p</italic> &lt; 0.001; fully adjusted model: OR = 1.08, 95% CI = 1.02&#x2013;1.14, <italic>p</italic> = 0.007). Participants in the highest NHR quartile (Q4) exhibited a 63% higher risk of psoriasis compared to those in the lowest quartile Q1 (OR = 1.63, 95% CI = 1.27&#x2013;2.08, <italic>p</italic> &lt; 0.001). Subgroup analyses demonstrated consistent associations across most strata, although the relationship was significantly modified by alcohol consumption history (<italic>p</italic> for interaction = 0.048). The sensitivity analyses substantiate NHR as a temporally stable and confounder-independent biomarker for psoriasis risk, as evidenced by consistent effect estimates across multiple analytical models and population strata.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Higher NHR levels are independently associated with an increased risk of psoriasis. Further prospective cohort studies and mechanistic experiments are needed to validate its predictive performance and potential role in psoriasis risk stratification and monitoring.</p>
</sec>
</abstract>
<kwd-group>
<kwd>psoriasis</kwd>
<kwd>NHR</kwd>
<kwd>high-density lipoprotein cholesterol</kwd>
<kwd>cross-sectional study</kwd>
<kwd>national health and nutrition examination survey</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="41"/>
<page-count count="10"/>
<word-count count="4359"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Autoimmune and Autoinflammatory Disorders : Autoimmune Disorders</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Psoriasis is a chronic immune-mediated inflammatory dermatosis affecting approximately 2-3% of the global population (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). Clinically, it is characterized by well-demarcated erythematosquamous plaques, typically distributed symmetrically on extensor surfaces (elbows, knees), scalp, and lumbosacral regions, though extensive cutaneous involvement may occur (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Beyond its cutaneous manifestations, psoriasis exerts a substantial impact on a patient&#x2019;s quality of life and imposes significant socioeconomic burdens (<xref ref-type="bibr" rid="B6">6</xref>). Despite considerable advances in therapeutic options, post-treatment relapse rates exceed 90% (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>), and the patients frequently develop comorbid arthritis, metabolic syndrome, and cardiovascular complications (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). Current understanding of psoriasis pathogenesis implicates multifaceted interactions between immune dysregulation, genetic susceptibility, autoantigens presentation, and environmental triggers (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). However, the precise molecular and cellular mechanisms remain remains incompletely understood. While biological therapies have revolutionized management, approximately 40% of patients continue to exhibit suboptimal or non-durable responses, highlighting an unmet need for clinically actionable biomarkers to facilitate personalized therapeutic strategies (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>The neutrophil-to-high-density lipoprotein cholesterol ratio (NHR) has emerged as a novel dual-functional inflammatory-metabolic biomarker, offering unique advantages by concurrently assessing innate immune activation through neutrophils and lipid metabolic disorders. Although previous studies have independently confirmed the association of neutrophils (key inflammatory mediators) and high-density lipoprotein (HDL) cholesterol (a regulator of lipid metabolism and inflammatory) with psoriasis, the combined predictive value of these two components has not been thoroughly investigated (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Mechanistically, neutrophil extracellular traps (NETs) containing LL-37 and RNA components can directly contribute to the formation of psoriatic plaques (<xref ref-type="bibr" rid="B20">20</xref>). HDL typically exerts anti-inflammatory effects by modulating macrophages activity (<xref ref-type="bibr" rid="B21">21</xref>). However, in patients with psoriasis, HDL displays pro-inflammatory changes and impaired cholesterol efflux capacity (<xref ref-type="bibr" rid="B22">22</xref>). These findings suggest a dual disturbance in inflammation and metabolism that may synergistically exacerbate the development of psoriasis. Moreover, recent studies have shown that NHR demonstrates superior predictive performance compared to other inflammatory-metabolic indicators such as the monocyte-to-HDL ratio (MHR) and neutrophil-to-lymphocyte ratio (NLR), emphasizing its potential clinical utility (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>Although NHR has shown prognostic utility in cardiovascular and metabolic diseases, its role in immune-mediated inflammatory diseases, particularly psoriasis, remains underexplored (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>). This cross-sectional study, based on the National Health and Nutrition Examination Survey (NHANES) database, is the first to systematically evaluate the association between NHR and psoriasis. The findings offer new insights into the interplay between inflammation and metabolism in the pathogenesis of psoriasis and support the potential of NHR as a novel biomarker for clinical risk stratification and individualized therapeutic strategies.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Data source and study participants</title>
<p>The NHANES, conducted by the Centers for Disease Control and Prevention (CDC), is a nationally representative, cross-sectional survey that employs a complex multistage probability sampling design to collect comprehensive health and nutritional data from the non-institutionalized U.S. population. The dataset supports a wide range of scientific research and informs evidence-based public health policies (<xref ref-type="bibr" rid="B21">21</xref>). The NHANES protocol received ethical approval from the National Center for Health Statistics Ethics Review Board, and all participants provided written informed consent (<xref ref-type="bibr" rid="B22">22</xref>). Detailed study protocols and publicly accessible datasets are accessible at <ext-link ext-link-type="uri" xlink:href="https://www.cdc.gov/nchs/nhanes/">https://www.cdc.gov/nchs/nhanes/</ext-link>.</p>
<p>This cross-sectional study utilized data from five survey cycles (2003&#x2013;2006 and 2009&#x2013;2014) of the NHANES. A total of 50,938 participants were initially included. After excluding individuals younger than 20 years (n = 23,371), those with missing NHR data (n = 2,781), and those lacking incomplete information on psoriasis status (n = 3,063), the final analytical sample comprised 21,723 participants (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flow chart of participants selection.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1611867-g001.tif">
<alt-text content-type="machine-generated">Flowchart depicting study selection process from NHANES 2003-2006 and 2009-2014 starting with 50,938 participants. Exclusions: 23,371 under age 20, 2,781 with incomplete NHR data, and 3,063 missing psoriasis information. Final sample for analysis: 21,723.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Assessment of NHR and psoriasis</title>
<p>Whole blood cell counts were measured using the Beckman Coulter MAXM automated hematology analyzer (Beckman Coulter Inc., USA). High-density lipoprotein cholesterol (HDL-C) concentrations were determined using a specific endpoint reaction method, with absorbance read at 600 nm to ensure measurement accuracy. Lymphocyte, neutrophil, monocyte, and platelet counts were reported as &#xd7;10&#xb3; cells/&#x3bc;L. The NHR was calculated by dividing the absolute neutrophil count (&#xd7;10&#xb3; cells/&#x3bc;L) by HDL-C concentration (mmol/L) (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>Psoriasis diagnosis was based on affirmative responses to either of the following NHANES survey questions: (a) <italic>&#x201c;Has a healthcare provider ever diagnosed you with psoriasis?&#x201d;</italic> or (b) <italic>&#x201c;Has a doctor or other health professional ever told you that you have psoriasis with eye involvement?&#x201d;</italic> (<xref ref-type="bibr" rid="B24">24</xref>). Participants who refused to answer or responded &#x201c;don&#x2019;t know&#x201d; were excluded according to predefined criteria (<xref ref-type="bibr" rid="B25">25</xref>).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Covariates</title>
<p>Potential confounders of the NHR-psoriasis association were systematically extracted from NHANES demographic, physical examination, questionnaire, and laboratory datasets. Continuous variables included age (years), HDL-C concentration (mmol/L), and lymphocyte/neutrophil/monocyte/platelet counts (&#xd7;10&#xb3; cells/&#x3bc;L). Categorical variables encompassed sex (male/female); race/ethnicity (Mexican American, Other Hispanic, Non-Hispanic White, Non-Hispanic Black, Multiracial/Other); education level (less than high school, high school/equivalent, and above high school); and marital status (married/cohabiting, widowed/divorced/separated, never married). Medical history variables (diabetes, hypertension, cancer, and cardiovascular disease) were included as binary indicators (yes/no). Socioeconomic status was assessed using the family income&#x2013;poverty ratio (PIR), categorized as low (&lt;1.3), middle (1.3&#x2013;3.5), and high (&gt;3.5). Body mass index (BMI) was stratified as underweight/normal (&lt;25 kg/m&#xb2;), overweight (25&#x2013;29.9 kg/m&#xb2;), and obese (&#x2265;30 kg/m&#xb2;). Alcohol consumption was defined as non-drinker (&lt;12 drinks/year) or drinker (&#x2265;12 drinks/year), and smoking status as non-smoker (lifetime &lt;100 cigarettes) or smoker (&#x2265;100 cigarettes).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Statistical analysis</title>
<p>Data analyses were conducted using EmpowerStats statistical software (version 2.0; X&amp;Y Solutions Inc., Boston, MA, USA; <ext-link ext-link-type="uri" xlink:href="http://www.empowerstats.com">www.empowerstats.com</ext-link>). Continuous variables were expressed as weighted means &#xb1; standard errors, while categorical variables were presented as weighted frequencies (percentages). Participants were stratified by psoriasis status, and group differences were assessed using &#x3c7;&#xb2; tests (categorical variables) or Kruskal-Wallis tests (non-normally distributed continuous variables). Weighted multivariable logistic regression models were employed to evaluate the association between NHR and psoriasis, with odds ratios (ORs) and 95% confidence intervals (CIs) calculated across three models: Model I (unadjusted), Model II (adjusted for age, sex, and race/ethnicity), and Model III (fully adjusted for age, sex, race/ethnicity, BMI, smoking status, education level, marital status, alcohol intake, PIR, hypertension, cancer, diabetes, and cardiovascular disease). Subsequent analyses examined the relationship between NHR quartiles and psoriasis risk. We employed Generalized Additive Models (GAMs) with smoothing splines to examine the non-linear relationship between NHR and psoriasis risk. To evaluate the potential influence of clinical confounders on the study outcomes, we conducted interaction analyses. For assessing interaction terms, we followed established statistical guidelines by including multiplicative interaction terms in the models, and considered a two-tailed p-value &lt;0.05 as statistically significant. Moreover, to comprehensively assess the robustness of the association between NHR and psoriasis risk, we performed systematic sensitivity analyses using multiple approaches. These include a primary analysis in the full population, subgroup validation after excluding cancer patients, and stratified analyses across different NHANES survey cycles (2003&#x2013;2006 and 2009-2014).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Characteristics of the study population</title>
<p>A total of 21,723 participants were included in the study, with a mean age of 46.02 years. The cohort predominantly comprised Non-Hispanic Black individuals, and 10,467 (48.18%) were male. The overall prevalence of psoriasis was 2.75%, with affected individuals exhibiting a higher mean age (49.27 &#xb1; 16.20 years). Clinical characteristics stratified by psoriasis status are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. Statistically significant differences (all <italic>p</italic> &lt; 0.05) were observed in age, race/ethnicity, education level, marital status, PIR, BMI, hypertension, diabetes, cancer, smoking, cardiovascular disease, HDL-C levels, lymphocyte/monocyte/neutrophil counts, as well as NHR. Compared to individuals without psoriatic, those with psoriasis tended to be older and exhibited higher NHR levels. The prevalence of psoriasis was higher among non-Hispanic Black participants, individuals with education beyond high school, unmarried status, BMI &#x2265; 25 kg/m&#xb2;, smokers, alcohol consumers, and those with diabetes, hypertension, cancer, or cardiovascular disease.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>The baseline characteristics of participants from the NHANES 2003&#x2013;2006 and 2009&#x2013;2014.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Characteristic</th>
<th valign="top" align="center">Total N = 21,723 (100%)</th>
<th valign="top" align="center">Non-psoriasis N =21,125 (97.25%)</th>
<th valign="top" align="center">Psoriasis N =598 (2.75%)</th>
<th valign="top" align="center">P Value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (year)</td>
<td valign="top" align="left">21,723 (100%)</td>
<td valign="top" align="left">45.93 &#xb1; 16.96</td>
<td valign="top" align="center">49.27 &#xb1; 16.20</td>
<td valign="top" align="left">&lt;0.001<sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Sex, n (%)</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left">0.499<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="left">10,467 (48.18%)</td>
<td valign="top" align="left">10,187 (48.22%)</td>
<td valign="top" align="center">280 (46.82%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="left">11,256 (51.82%)</td>
<td valign="top" align="left">10,938 (51.78%)</td>
<td valign="top" align="center">318 (53.18%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Race, n (%)</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left">&lt;0.001<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mexican American</td>
<td valign="top" align="left">3,502 (16.12%)</td>
<td valign="middle" align="left">3,453 (16.35%)</td>
<td valign="middle" align="center">49 (8.19%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Non-Hispanic White</td>
<td valign="top" align="left">1,770 (8.15%)</td>
<td valign="middle" align="left">1,724 (8.16%)</td>
<td valign="middle" align="center">46 (7.69%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Non-Hispanic Black</td>
<td valign="top" align="left">9,714 (44.72%)</td>
<td valign="middle" align="left">9,347 (44.25%)</td>
<td valign="middle" align="center">367 (61.37%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Other Hispanic</td>
<td valign="top" align="left">4,573 (21.05%)</td>
<td valign="middle" align="left">4,498 (21.29%)</td>
<td valign="middle" align="center">75 (12.54%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Other race/multiracial</td>
<td valign="top" align="left">2,164 (9.96%)</td>
<td valign="middle" align="left">2,103 (9.96%)</td>
<td valign="middle" align="center">61 (10.20%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Education, n (%)</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left">0.033<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Under high school</td>
<td valign="top" align="left">5,257 (24.2%)</td>
<td valign="middle" align="left">5,137 (24.32%)</td>
<td valign="middle" align="center">120 (20.07%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High School or equivalent</td>
<td valign="top" align="left">4,927 (22.68%)</td>
<td valign="middle" align="left">4,794 (22.69%)</td>
<td valign="middle" align="center">133 (22.24%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Above high school</td>
<td valign="top" align="left">11,539 (53.12%)</td>
<td valign="middle" align="left">11,194 (52.99%)</td>
<td valign="middle" align="center">345 (57.69%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Marital status, n (%)</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
<td valign="top" align="left">0.010<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Married/cohabiting</td>
<td valign="top" align="left">4,313 (19.85%)</td>
<td valign="top" align="left">4,216 (19.96%)</td>
<td valign="middle" align="center">97 (16.22%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Widowed/divorced/separated</td>
<td valign="top" align="left">13,09 (60.28%)</td>
<td valign="top" align="left">12,737 (60.29%)</td>
<td valign="middle" align="center">358 (59.87%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Never married</td>
<td valign="top" align="left">4,315 (19.86%)</td>
<td valign="top" align="left">4,172 (19.75%)</td>
<td valign="middle" align="center">143 (23.91%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">PIR (%)</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
<td valign="top" align="left">0.032<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;1.30</td>
<td valign="top" align="left">6,527 (30.05%)</td>
<td valign="top" align="left">6,333 (29.98%)</td>
<td valign="middle" align="center">194 (32.44%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;1.30&#x223c;3.49</td>
<td valign="top" align="left">8,790 (40.46%)</td>
<td valign="top" align="left">8,579 (40.61%)</td>
<td valign="middle" align="center">211 (35.28%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;3.50</td>
<td valign="top" align="left">6,406 (29.49%)</td>
<td valign="top" align="left">6,213 (29.41%)</td>
<td valign="middle" align="center">193 (32.27%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Had at least 12 alcohol drinks one year, n (%)</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
<td valign="top" align="left">0.405<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="left">16,359 (75.31%)</td>
<td valign="middle" align="left">15,900 (75.27%)</td>
<td valign="middle" align="center">459 (76.76%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="left">5,364 (24.69%)</td>
<td valign="middle" align="left">5,225 (24.73%)</td>
<td valign="middle" align="center">139 (23.24%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Cigarette Use, n (%)</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
<td valign="top" align="left">&lt;0.001<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Smoked&#x2009;&#x2265;&#x2009;100 cigarettes in life</td>
<td valign="top" align="left">9,689 (44.6%)</td>
<td valign="top" align="left">9,355 (44.28%)</td>
<td valign="middle" align="center">334 (55.85%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Smoked&#x2009;&lt;&#x2009;100 cigarettes in life</td>
<td valign="top" align="left">12,034 (55.4%)</td>
<td valign="top" align="left">11,770 (55.72%)</td>
<td valign="middle" align="center">264 (44.15%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Diabetes, n (%)</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
<td valign="top" align="left">&lt;0.001<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="left">2,699 (12.42%)</td>
<td valign="top" align="left">2,591 (12.27%)</td>
<td valign="middle" align="center">108 (18.06%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="left">19,024 (87.58%)</td>
<td valign="top" align="left">18,534 (87.73%)</td>
<td valign="middle" align="center">490 (81.94%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Hypertension, n (%)</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
<td valign="top" align="left">&lt;0.001<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="left">6,951 (32%)</td>
<td valign="top" align="left">6,699 (31.71%)</td>
<td valign="middle" align="center">252 (42.14%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="left">14,772 (68%)</td>
<td valign="top" align="left">14,426 (68.29%)</td>
<td valign="middle" align="center">346 (57.86%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Cancer, n (%)</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
<td valign="top" align="left">&lt;0.001<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="left">1,678 (7.72%)</td>
<td valign="top" align="left">1,599 (7.57%)</td>
<td valign="middle" align="center">79 (13.21%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="left">20,045 (92.28%)</td>
<td valign="top" align="left">19,526 (92.43%)</td>
<td valign="middle" align="center">519 (86.79%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">BMI (%)</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
<td valign="top" align="left">&lt;0.001<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;25</td>
<td valign="top" align="left">6,520 (30.01%)</td>
<td valign="top" align="left">6,386 (30.23%)</td>
<td valign="middle" align="center">134 (22.41%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;25-29.9</td>
<td valign="top" align="left">7,325 (33.72%)</td>
<td valign="top" align="left">7,110 (33.66%)</td>
<td valign="middle" align="center">215 (35.95%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;30</td>
<td valign="top" align="left">7,878 (36.27%)</td>
<td valign="top" align="left">7,629 (36.11%)</td>
<td valign="middle" align="center">249 (41.64%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Heart attack</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
<td valign="top" align="left">&lt;0.001<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="left">732 (3.37%)</td>
<td valign="middle" align="left">692 (3.28%)</td>
<td valign="middle" align="center">40 (6.69%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="left">20,991 (96.63%)</td>
<td valign="middle" align="left">20,433 (96.72%)</td>
<td valign="middle" align="center">558 (93.31%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">HDL-C (mmol/L)</td>
<td valign="top" align="left">21,723 (100%)</td>
<td valign="middle" align="left">1.38 &#xb1; 0.41</td>
<td valign="middle" align="center">1.33 &#xb1; 0.42</td>
<td valign="top" align="left">0.001<sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Lymphocyte number (1000 cells/uL)</td>
<td valign="top" align="left">21,723 (100%)</td>
<td valign="middle" align="left">2.15 &#xb1; 0.96</td>
<td valign="middle" align="center">2.04 &#xb1; 0.67</td>
<td valign="top" align="left">0.003<sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Monocyte number (1000 cells/uL)</td>
<td valign="top" align="left">21,723 (100%)</td>
<td valign="middle" align="left">0.54 &#xb1; 0.20</td>
<td valign="middle" align="center">0.57 &#xb1; 0.18</td>
<td valign="top" align="left">&lt;0.001<sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Neutrophils count (1000 cell/uL)</td>
<td valign="top" align="left">21,723 (100%)</td>
<td valign="middle" align="left">4.33 &#xb1; 1.90</td>
<td valign="middle" align="center">4.53 &#xb1; 1.70</td>
<td valign="top" align="left">&lt;0.001<sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Platelet count (1000 cells/uL)</td>
<td valign="top" align="left">21,723 (100%)</td>
<td valign="middle" align="left">248.36 &#xb1; 66.82</td>
<td valign="middle" align="center">246.70 &#xb1; 67.07</td>
<td valign="top" align="left">0.662<sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">NHR</td>
<td valign="top" align="left">21,723 (100%)</td>
<td valign="middle" align="left">3.40 &#xb1; 1.64</td>
<td valign="middle" align="center">3.71 &#xb1; 1.73</td>
<td valign="top" align="left">&lt;0.001<sup>b</sup>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Continuous variables are presented as the means &#xb1; standard deviations. Categorical variables are presented as n (%). <sup>a</sup>Chi-square test, <sup>b</sup>Kruskal&#x2013;Wallis rank sum test. BMI, body mass index; NHR, neutrophil-to-high-density lipoprotein cholesterol ratio; PIR, family income&#x2013;poverty ratio; HDL-C, High-density lipoprotein cholesterol.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Association between NHR and psoriasis</title>
<p>Stepwise weighted multivariable logistic regression models revealed a significant positive association between elevated NHR levels and the risk of psoriasis (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). In the unadjusted model, each unit increase in NHR was associated with an 11% higher odds of psoriasis (OR = 1.11, 95% CI = 1.06-1.16, <italic>p</italic> &lt; 0.001), which remained consistent after the partially adjusted model for confounders (OR = 1.11, 95% CI = 1.05-1.16, <italic>p</italic> &lt; 0.001). When NHR was analyzed as a categorical variable, participants in the highest quartile (Q4) demonstrated a 63% increased risk compared to those in the lowest quartile Q1 (OR = 1.63, 95% CI = 1.27-2.08, <italic>p</italic> &lt; 0.001). We further investigated the nonlinear association between the NHR and psoriasis risk using smoothing curve fitting, which revealed a statistically significant nonlinear trend (<italic>P</italic> &lt; 0.05, based on GAMs). As shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>, the fitted curve displayed a clear positive nonlinear correlation.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Weighted associations between NHR (continuous and quartile-based) and psoriasis risk.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="3" align="left"/>
<th valign="top" colspan="3" align="center">OR (95% CI)</th>
</tr>
<tr>
<th valign="top" align="center">Model 1</th>
<th valign="top" align="center">Model 2</th>
<th valign="top" align="center">Model 3</th>
</tr>
<tr>
<th valign="top" align="center">(N= 21,723)</th>
<th valign="top" align="center">(N= 21,723)</th>
<th valign="top" align="center">(N= 21,723)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">NHR</td>
<td valign="top" align="center">1.09 (1.08, 1.10) &lt;0.001</td>
<td valign="top" align="center">1.09 (1.08, 1.10) &lt;0.001</td>
<td valign="top" align="center">1.04 (1.02, 1.05) &lt;0.001</td>
</tr>
<tr>
<th valign="top" colspan="4" align="left">Stratified by NHR quartiles</th>
</tr>
<tr>
<td valign="top" align="left">Q1</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center">Reference</td>
</tr>
<tr>
<td valign="top" align="left">Q2</td>
<td valign="top" align="center">1.08 (1.02, 1.15) 0.009</td>
<td valign="top" align="center">1.07 (1.01, 1.14) 0.017</td>
<td valign="top" align="center">0.99 (0.93, 1.05)0.710</td>
</tr>
<tr>
<td valign="top" align="left">Q3</td>
<td valign="top" align="center">1.31 (1.24, 1.39) &lt;0.001</td>
<td valign="top" align="center">1.31 (1.25, 1.40) &lt;0.001</td>
<td valign="top" align="center">1.14 (1.07, 1.21) &lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Q4</td>
<td valign="top" align="center">1.52 (1.44, 1.60) &lt;0.001</td>
<td valign="top" align="center">1.56 (1.47, 1.65) &lt;0.001</td>
<td valign="top" align="center">1.24 (1.17, 1.32) &lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">P for trend</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Model 1: adjusted for none.</p>
</fn>
<fn>
<p>Model 2: adjusted for age (years), sex, and race.</p>
</fn>
<fn>
<p>Model 3: adjusted for age (years), sex, race, PIR, BMI, cigarette use, hypertension, education, diabetes, cancer, marital status, heart attack and alcohol use.</p>
</fn>
<fn>
<p>BMI, body mass index; PIR, family income&#x2013;poverty ratio; OR, odds ratio; NHR, neutrophil-to-high-density lipoprotein cholesterol ratio; CI, confidence interval.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The association between the NHR and psoriasis is illustrated via smoothed curve fitting methods. Adjusted for age, sex, race, PIR, BMI, cigarette use, hypertension, education, diabetes, cancer, marital status, heart attack and alcohol use. The solid red line depicts the smooth curve fit between the variables, whereas the blue bands represent the 95% confidence intervals derived from the fit. The y-axis indicates the predicted probability of psoriasis occurrence, estimated using a logistic regression model with smoothing splines.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1611867-g002.tif">
<alt-text content-type="machine-generated">Line graph depicting the relationship between NHR (x-axis) and Psoriasis (y-axis), with two lines. The blue line curves upward, indicating an increasing trend, and the red line shows a moderate upward trend. The graph indicates significance with &#x201c;p &lt; 0.05&#x201d;.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Subgroup analysis</title>
<p>Subgroup analyses were conducted to evaluate the consistency of the nonlinear association between NHR and psoriasis across different population strata (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Interaction tests indicated stable associations in most subgroups, including sex, age, race/ethnicity, education level, smoking status, BMI, marital status, cardiovascular disease, PIR, hypertension, cancer, and diabetes (all <italic>p</italic> for interaction &gt; 0.05). However, a significant interaction was observed for alcohol consumption history (<italic>p</italic> for interaction = 0.048), indicating a stronger association in individuals who did not consume alcohol.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Subgroup analysis of the effect of the NHR on psoriasis (N = 21,723).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Subgroup</th>
<th valign="top" align="center">N</th>
<th valign="top" align="center">OR (95% CI)</th>
<th valign="top" align="center">P for interaction</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (year)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.852</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;20&#x223c;39</td>
<td valign="top" align="center">8,651</td>
<td valign="top" align="center">1.06 (0.97, 1.16)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;40&#x223c;59</td>
<td valign="top" align="center">7,982</td>
<td valign="top" align="center">1.03 (0.95, 1.11)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;60</td>
<td valign="top" align="center">5,090</td>
<td valign="top" align="center">1.06 (0.96, 1.17)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.884</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">10,467</td>
<td valign="top" align="center">1.04 (0.97, 1.12)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">11,256</td>
<td valign="top" align="center">1.05 (0.98, 1.13)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Race</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.416</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mexican American</td>
<td valign="top" align="center">3,502</td>
<td valign="top" align="center">0.96 (0.79, 1.16)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Non-Hispanic White</td>
<td valign="top" align="center">1,770</td>
<td valign="top" align="center">1.07 (0.89, 1.29)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Non-Hispanic Black</td>
<td valign="top" align="center">9,714</td>
<td valign="top" align="center">1.02 (0.96, 1.09)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Other Hispanic</td>
<td valign="top" align="center">4,573</td>
<td valign="top" align="center">1.13 (0.99, 1.31)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Other race/multiracial</td>
<td valign="top" align="center">2,164</td>
<td valign="top" align="center">1.15 (0.98, 1.35)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Education</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.396</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Under high school</td>
<td valign="top" align="center">5,257</td>
<td valign="top" align="center">0.98 (0.87, 1.09)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High School or equivalent</td>
<td valign="top" align="center">4,927</td>
<td valign="top" align="center">1.07 (0.96, 1.18)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Above high school</td>
<td valign="top" align="center">11,539</td>
<td valign="top" align="center">1.06 (0.99, 1.14)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Marital status</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.357</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Married/cohabiting</td>
<td valign="top" align="center">4,313</td>
<td valign="top" align="center">1.04 (0.91, 1.18)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Widowed/divorced/separated</td>
<td valign="top" align="center">13,095</td>
<td valign="top" align="center">1.08 (1.01, 1.15)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Never married</td>
<td valign="top" align="center">4,315</td>
<td valign="top" align="center">0.98 (0.88, 1.10)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">BMI</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.903</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;25</td>
<td valign="top" align="center">6,520</td>
<td valign="top" align="center">1.02 (0.91, 1.16)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;25&#x223c;29.9</td>
<td valign="top" align="center">7,325</td>
<td valign="top" align="center">1.05 (0.96, 1.14)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;30</td>
<td valign="top" align="center">7,878</td>
<td valign="top" align="center">1.06 (0.98, 1.14)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">PIR</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.649</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;1.30</td>
<td valign="top" align="center">6,527</td>
<td valign="top" align="center">1.06 (0.98, 1.16)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;1.30&#x223c;3.49</td>
<td valign="top" align="center">8,790</td>
<td valign="top" align="center">1.06 (0.98, 1.15)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;3.50</td>
<td valign="top" align="center">6,406</td>
<td valign="top" align="center">1.01 (0.91, 1.11)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Cigarette Use</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.625</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Smoked&#x2009;&#x2265;&#x2009;100 cigarettes in life</td>
<td valign="top" align="center">9,689</td>
<td valign="top" align="center">1.04 (0.97, 1.10)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Smoked&#x2009;&lt;&#x2009;100 cigarettes in life</td>
<td valign="top" align="center">12,034</td>
<td valign="top" align="center">1.06 (0.98, 1.15)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.787</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="center">2,699</td>
<td valign="top" align="center">1.03 (0.92, 1.16)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">19,024</td>
<td valign="top" align="center">1.05 (0.99, 1.11)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.993</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="center">6,951</td>
<td valign="top" align="center">1.05 (0.97, 1.13)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">14,772</td>
<td valign="top" align="center">1.05 (0.98, 1.12)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Cancer</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.760</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="center">1,678</td>
<td valign="top" align="center">1.07 (0.94, 1.21)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">20,045</td>
<td valign="top" align="center">1.04 (0.99, 1.10)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Had at least 12 alcohol drinks one year</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.048</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="center">16,359</td>
<td valign="top" align="center">1.02 (0.96, 1.08)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">5,364</td>
<td valign="top" align="center">1.14 (1.04, 1.26)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Heart attack</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.339</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="center">732</td>
<td valign="top" align="center">0.96 (0.80, 1.16)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">20,991</td>
<td valign="top" align="center">1.06 (1.00, 1.11)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Age, sex, race, PIR, BMI, cigarette use, hypertension, education, diabetes, cancer, marital status, heart attack and alcohol use were adjusted.</p>
</fn>
<fn>
<p>BMI, body mass index; PIR, family income&#x2013;poverty ratio; NHR, neutrophil-to-high-density lipoprotein cholesterol ratio.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Sensitivity analysis</title>
<p>Furthermore, we conducted comprehensive sensitivity analyses to rigorously validate the robustness of the association between NHR and psoriasis risk (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). The fully adjusted model (Model 2) showed that each unit increase in NHR was significantly associated with a higher risk of psoriasis in the total population (OR=1.04, 95% CI: 1.02-1.05). This association remained consistent in the cancer-free subgroup (OR=1.03, 95% CI: 1.01-1.04) and in the 2009&#x2013;2014 survey cycle (OR=1.06, 95% CI: 1.04-1.08), but was attenuated in the 2003&#x2013;2006 cycle (OR=1.01, 95% CI: 0.99-1.03). The small change in effect size (&#x394;OR=0.05) between the crude and fully adjusted models suggest that the association was stable after adjusting for potential confounders, including demographic, socioeconomic, and metabolic factors.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Sensitivity test.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Mode</th>
<th valign="top" align="center">Total</th>
<th valign="top" align="center">Non-Cancer</th>
<th valign="top" align="center">03&#x2013;06 cycle</th>
<th valign="top" align="center">09&#x2013;14 cycle</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Crude</td>
<td valign="top" align="center">1.09 (1.08,1.10)</td>
<td valign="top" align="center">1.08 (1.07,1.09)</td>
<td valign="top" align="center">1.07 (1.05,1.09)</td>
<td valign="top" align="center">1.10 (1.09,1.12)</td>
</tr>
<tr>
<td valign="top" align="left">Model 1</td>
<td valign="top" align="center">1.09 (1.08,1.10)</td>
<td valign="top" align="center">1.08 (1.07,1.09)</td>
<td valign="top" align="center">1.07 (1.06,1.09)</td>
<td valign="top" align="center">1.11 (1.09,1.12)</td>
</tr>
<tr>
<td valign="top" align="left">Model 2</td>
<td valign="top" align="center">1.04 (1.02,1.05)</td>
<td valign="top" align="center">1.03 (1.01,1.04)</td>
<td valign="top" align="center">1.01 (0.99,1.03)</td>
<td valign="top" align="center">1.06 (1.04,1.08)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Age, sex, race, PIR, BMI, cigarette use, hypertension, education, diabetes, cancer, marital status, heart attack and alcohol use were adjusted. BMI, body mass index; PIR, family income&#x2013;poverty ratio; NHR, neutrophil-to-high-density lipoprotein cholesterol ratio.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>To the best of our knowledge, this is the first cross-sectional study to investigate the association between NHR and psoriasis using data from the NHANES database. Weighted multivariable logistic regression analyses of 21,723 participants identified an independent positive association between NHR and psoriasis risk, consistent across both unadjusted and partially adjusted models. Subgroup analyses further confirmed the robustness of this association across various demographic and clinical subpopulations, with alcohol consumption identified as a potential effect modifier. The sensitivity analyses demonstrated that the NHR possesses both temporal stability and is robust to confounding, supporting its utility as a biomarker for psoriasis risk. These findings provide novel insights into the inflammatory-metabolic interplay underlying psoriasis and underscore the potential utility of NHR as a biomarker for risk stratification and early intervention.</p>
<p>Recent advancements have highlighted the clinical relevance of novel biomarkers in disease prediction and management. As a composite inflammatory-metabolic marker, NHR uniquely integrates peripheral neutrophil counts and HDL-C levels, providing a multidimensional perspective on the interplay between inflammation and lipid metabolism (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). Notably, NHR has demonstrated superior predictive performance over monocyte-to-HDL ratio and neutrophil-to-lymphocyte ratio across a range of pathological conditions (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B28">28</xref>). For example, Tian et&#xa0;al. (2025) identified elevated NHR as a predictor of aortic dissection and aneurysm risk, implicating vascular inflammatory pathways (<xref ref-type="bibr" rid="B29">29</xref>). Similarly, NHR was associated with disease severity in patients with acute biliary pancreatitis (<xref ref-type="bibr" rid="B30">30</xref>), while Du et&#xa0;al. (2025) reported a 34% increased risk of renal stone in individuals within the highest NHR tertile (95% CI: 1.15&#x2013;1.57, <italic>p</italic> &lt; 0.001) (<xref ref-type="bibr" rid="B31">31</xref>). Collectively, these findings support the role of elevated NHR as a marker of both neutrophil-mediated inflammation and HDL-C dysfunction, consistent with our observed association between NHR and psoriasis risk.</p>
<p>The observed dose-response relationship between NHR and psoriasis risk, although not yet fully elucidated mechanistically, is supported by established biological frameworks. Neutrophils play a central role in psoriasis pathogenesis and contribute to disease progression through multiple pathways: (1) activated neutrophils secrete cytokines within IL-23/IL-17 axis, promoting Th17 cell differentiation and keratinocyte hyperproliferation (<xref ref-type="bibr" rid="B32">32</xref>); (2) neutrophil extracellular traps, composed of DNA-LL37 complexes and histones, activate plasmacytoid dendritic cells via Toll-like receptor 9 signaling, leading to increased production of TNF-&#x3b1;/IL-6 release, and further activation of keratinocytes and T-cells (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>); (3) NADPH oxidase 2-dependent reactive oxygen species induces keratinocyte necroptosis, thereby compromising epidermal barrier integrity (<xref ref-type="bibr" rid="B35">35</xref>). Simultaneously, HDL in patients with psoriasis demonstrates pro-inflammatory properties and reduced cholesterol efflux capacity (<xref ref-type="bibr" rid="B36">36</xref>). Moreover, prospective data from the UK Biobank indicate an inverse association between HDL-C levels and psoriasis risk (<xref ref-type="bibr" rid="B37">37</xref>). Collectively, these mechanisms support the &#x201c;neutrophil activation&#x2013;HDL dysfunction&#x201d; axis as a biologically plausible pathway underlying the association between NHR and psoriatic pathology.</p>
<p>Furthermore, the study found that elevated NHR was more strongly associated with psoriasis risk among participants who did not consume alcohol. This observation may be explained by the absence the dual protective effects associated with low-to-moderate alcohol intake in this group. First, low-dose ethanol has been shown to exert anti-inflammatory effects via the gut microbiota-acetate-GPR43 axis. This pathway inhibits neutrophil reactive oxygen species production and endoplasmic reticulum stress, thereby reducing the formation of NET (<xref ref-type="bibr" rid="B38">38</xref>). Second, moderate alcohol consumption has been reported to increase HDL-C levels by enhancing the transport of apolipoprotein A-I and A-II, which improve HDL function (<xref ref-type="bibr" rid="B39">39</xref>). Together, these mechanisms suggest that low-to-moderate alcohol consumption may help alleviate psoriasis-related inflammation and metabolic disturbances by reducing NET formation and enhancing HDL function. However, it is important to note that excessive alcohol intake may negate these potential benefits, and that individual responses vary significantly (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>).</p>
<p>The characteristics of the study population may have influenced the observed associations. In this study, the term &#x201c;drinkers&#x201d; referred to individuals who consumed at least 12 alcoholic beverages per year. This category includes participants with very low levels of alcohol intake, which may attenuate the potential protective effects of low-to-moderate alcohol consumption. Considering these factors, elevated NHR was found to be significantly and strongly associated with psoriasis risk in the non-drinking group.</p>
<p>This study has several strengths. First, it is the first systematic evaluation of NHR in the context of chronic inflammatory skin disease. Second, the use of a nationally representative NHANES cohort enhances the generalizability of the findings. Third, rigorous multivariable adjustments were employed to minimize potential confounding, and stratified analyses were conducted to account for population heterogeneity. However, several limitations should be acknowledged. First, the cross-sectional design limits the ability to draw causal inferences. Second, psoriasis diagnoses were based on self-reported reports, which may induce potential misclassification bias. Future prospective cohort studies and mechanistic experiments are needed to validate the predictive utility of NHR and to elucidate its molecular effects on keratinocyte biology. Moreover, as the current analysis was restricted to U.S. adult males, future multicenter studies across diverse healthcare systems and ethnic populations are necessary to confirm the generalizability of NHR as a biomarker for psoriasis.</p>
<p>Clinically, the accessibility and low cost of NHR make it a practical tool for psoriasis risk assessment. Early interventions targeting metabolic-inflammatory pathways in individuals with elevated NHR may help prevent or slow disease progression. Moreover, longitudinal monitoring of NHR could enhance the prediction of therapeutic response to biologics, thereby contributing to the advancement of personalized management in psoriasis.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>This study reveals a significant positive association between the NHR and psoriasis risk. Our findings provide translational evidence supporting early risk stratification and precision interventions in psoriasis, highlighting the role of inflammatory-metabolic interplay. Future prospective cohort studies involving larger and more diverse populations are needed to confirm this relationship and further elucidate its underlying mechanisms.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: <uri xlink:href="https://www.cdc.gov/nchs/nhanes/">https://www.cdc.gov/nchs/nhanes/</uri>.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the National Center for Health Statistics Ethics Review Board. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>HL: Conceptualization, Data curation, Formal analysis, Methodology, Software, Writing &#x2013; original draft. WS: Software, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. HH: Data curation, Methodology, Writing &#x2013; original draft. LL: Formal analysis, Writing &#x2013; original draft. XL: Methodology, Supervision, Formal analysis, Validation, Writing &#x2013; review &amp; editing. KY: Conceptualization, Funding acquisition, Project administration, Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Guangdong Basic and Applied Basic Research Foundation (2025A1515012602 and 2023A1515012751), the Guangzhou Basic and Applied Basic Research Foundation (2024A04J3857), the China Postdoctoral Science Foundation (2023M730793), the Research Foundation of Guangzhou Women and Children&#x2019;s Medical Center for Clinical Doctors (2023BS014), the Guangzhou Medical University Student Innovation and Entrepreneurship Training Program Foundation (02-408-2501-2248), and the Research Foundation for the Undergraduate Science and Technology Innovation Program of the School of Pediatrics, Guangzhou Medical University (2024ekky002).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank the National Center for Health Statistics (NCHS) for providing NHANES data and all participants of the surveys.</p>
</ack>
<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="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</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>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr" id="abbrev1">
<p>NHR, Neutrophil-to-high-density lipoprotein cholesterol ratio; NHANES, National Health and Nutrition Examination Survey; HDL, High-density lipoprotein; HDL-C, High-density lipoprotein cholesterol; PIR, family income&#x2013;poverty ratio; BMI, Body mass index.</p>
</fn>
</fn-group>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Armstrong</surname> <given-names>AW</given-names>
</name>
<name>
<surname>Mehta</surname> <given-names>MD</given-names>
</name>
<name>
<surname>Schupp</surname> <given-names>CW</given-names>
</name>
<name>
<surname>Gondo</surname> <given-names>GC</given-names>
</name>
<name>
<surname>Bell</surname> <given-names>SJ</given-names>
</name>
<name>
<surname>Griffiths</surname> <given-names>CEM</given-names>
</name>
</person-group>. <article-title>Psoriasis prevalence in adults in the United States</article-title>. <source>JAMA Dermatol</source>. (<year>2021</year>) <volume>157</volume>:<page-range>940&#x2013;6</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jamadermatol.2021.2007</pub-id>, PMID: <pub-id pub-id-type="pmid">34190957</pub-id></citation></ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Griffiths</surname> <given-names>CEM</given-names>
</name>
<name>
<surname>Armstrong</surname> <given-names>AW</given-names>
</name>
<name>
<surname>Gudjonsson</surname> <given-names>JE</given-names>
</name>
<name>
<surname>Barker</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Psoriasis</article-title>. <source>Lancet</source>. (<year>2021</year>) <volume>397</volume>:<page-range>1301&#x2013;15</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/s0140-6736(20)32549-6</pub-id>, PMID: <pub-id pub-id-type="pmid">33812489</pub-id></citation></ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Parisi</surname> <given-names>R</given-names>
</name>
<name>
<surname>Iskandar</surname> <given-names>IYK</given-names>
</name>
<name>
<surname>Kontopantelis</surname> <given-names>E</given-names>
</name>
<name>
<surname>Augustin</surname> <given-names>M</given-names>
</name>
<name>
<surname>Griffiths</surname> <given-names>CEM</given-names>
</name>
<name>
<surname>Ashcroft</surname> <given-names>DM</given-names>
</name>
</person-group>. <article-title>National, regional, and worldwide epidemiology of psoriasis: systematic analysis and modelling study</article-title>. <source>Bmj</source>. (<year>2020</year>) <volume>369</volume>:<elocation-id>m1590</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/bmj.m1590</pub-id>, PMID: <pub-id pub-id-type="pmid">32467098</pub-id></citation></ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Griffiths</surname> <given-names>CE</given-names>
</name>
<name>
<surname>Barker</surname> <given-names>JN</given-names>
</name>
</person-group>. <article-title>Pathogenesis and clinical features of psoriasis</article-title>. <source>Lancet</source>. (<year>2007</year>) <volume>370</volume>:<page-range>263&#x2013;71</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/s0140-6736(07)61128-3</pub-id>, PMID: <pub-id pub-id-type="pmid">17658397</pub-id></citation></ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Korman</surname> <given-names>NJ</given-names>
</name>
</person-group>. <article-title>Management of psoriasis as a systemic disease: what is the evidence</article-title>? <source>Br J Dermatol</source>. (<year>2020</year>) <volume>182</volume>:<page-range>840&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/bjd.18245</pub-id>, PMID: <pub-id pub-id-type="pmid">31225638</pub-id></citation></ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Guo</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>W</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>L</given-names>
</name>
<name>
<surname>Su</surname> <given-names>J</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>X</given-names>
</name>
</person-group>. <article-title>Signaling pathways and targeted therapies for psoriasis</article-title>. <source>Signal Transduct Target Ther</source>. (<year>2023</year>) <volume>8</volume>:<fpage>437</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41392-023-01655-6</pub-id>, PMID: <pub-id pub-id-type="pmid">38008779</pub-id></citation></ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>N</given-names>
</name>
<name>
<surname>Qin</surname> <given-names>H</given-names>
</name>
<name>
<surname>Cai</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Li</surname> <given-names>X</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>Q</given-names>
</name>
<etal/>
</person-group>. <article-title>Dynamic trafficking patterns of IL-17-producing &#x3b3;&#x3b4; T cells are linked to the recurrence of skin inflammation in psoriasis-like dermatitis</article-title>. <source>EBioMedicine</source>. (<year>2022</year>) <volume>82</volume>:<elocation-id>104136</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ebiom.2022.104136</pub-id>, PMID: <pub-id pub-id-type="pmid">35785620</pub-id></citation></ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lu</surname> <given-names>X</given-names>
</name>
<name>
<surname>Kuai</surname> <given-names>L</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>F</given-names>
</name>
<name>
<surname>Jiang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Song</surname> <given-names>J</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Single-atom catalysts-based catalytic ROS clearance for efficient psoriasis treatment and relapse prevention via restoring ESR1</article-title>. <source>Nat Commun</source>. (<year>2023</year>) <volume>14</volume>:<fpage>6767</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41467-023-42477-y</pub-id>, PMID: <pub-id pub-id-type="pmid">37880231</pub-id></citation></ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ritchlin</surname> <given-names>CT</given-names>
</name>
<name>
<surname>Colbert</surname> <given-names>RA</given-names>
</name>
<name>
<surname>Gladman</surname> <given-names>DD</given-names>
</name>
</person-group>. <article-title>Psoriatic arthritis</article-title>. <source>N Engl J Med</source>. (<year>2017</year>) <volume>376</volume>:<page-range>957&#x2013;70</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1056/NEJMra1505557</pub-id>, PMID: <pub-id pub-id-type="pmid">28273019</pub-id></citation></ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname> <given-names>JJ</given-names>
</name>
<name>
<surname>Kavanaugh</surname> <given-names>A</given-names>
</name>
<name>
<surname>Lebwohl</surname> <given-names>MG</given-names>
</name>
<name>
<surname>Gniadecki</surname> <given-names>R</given-names>
</name>
<name>
<surname>Merola</surname> <given-names>JF</given-names>
</name>
</person-group>. <article-title>Psoriasis and metabolic syndrome: implications for the management and treatment of psoriasis</article-title>. <source>J Eur Acad Dermatol Venereol</source>. (<year>2022</year>) <volume>36</volume>:<fpage>797</fpage>&#x2013;<lpage>806</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/jdv.18044</pub-id>, PMID: <pub-id pub-id-type="pmid">35238067</pub-id></citation></ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Qiu</surname> <given-names>L</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Psoriasis and cardiovascular disease risk in European and East Asian populations: evidence from meta-analysis and Mendelian randomization analysis</article-title>. <source>BMC Med</source>. (<year>2022</year>) <volume>20</volume>:<fpage>421</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12916-022-02617-5</pub-id>, PMID: <pub-id pub-id-type="pmid">36320003</pub-id></citation></ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Armstrong</surname> <given-names>AW</given-names>
</name>
<name>
<surname>Read</surname> <given-names>C</given-names>
</name>
</person-group>. <article-title>Pathophysiology, clinical presentation, and treatment of psoriasis: A review</article-title>. <source>Jama</source>. (<year>2020</year>) <volume>323</volume>:<page-range>1945&#x2013;60</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jama.2020.4006</pub-id>, PMID: <pub-id pub-id-type="pmid">32427307</pub-id></citation></ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Uppala</surname> <given-names>R</given-names>
</name>
<name>
<surname>Tsoi</surname> <given-names>LC</given-names>
</name>
<name>
<surname>Harms</surname> <given-names>PW</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>B</given-names>
</name>
<name>
<surname>Billi</surname> <given-names>AC</given-names>
</name>
<name>
<surname>Maverakis</surname> <given-names>E</given-names>
</name>
<etal/>
</person-group>. <article-title>Autoinflammatory psoriasis"-genetics and biology of pustular psoriasis</article-title>. <source>Cell Mol Immunol</source>. (<year>2021</year>) <volume>18</volume>:<page-range>307&#x2013;17</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41423-020-0519-3</pub-id>, PMID: <pub-id pub-id-type="pmid">32814870</pub-id></citation></ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Smith</surname> <given-names>CH</given-names>
</name>
<name>
<surname>Yiu</surname> <given-names>ZZN</given-names>
</name>
<name>
<surname>Bale</surname> <given-names>T</given-names>
</name>
<name>
<surname>Burden</surname> <given-names>AD</given-names>
</name>
<name>
<surname>Coates</surname> <given-names>LC</given-names>
</name>
<name>
<surname>Edwards</surname> <given-names>W</given-names>
</name>
<etal/>
</person-group>. <article-title>British Association of Dermatologists guidelines for biologic therapy for psoriasis 2020: a rapid update</article-title>. <source>Br J Dermatol</source>. (<year>2020</year>) <volume>183</volume>:<page-range>628&#x2013;37</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/bjd.19039</pub-id>, PMID: <pub-id pub-id-type="pmid">32189327</pub-id></citation></ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Warren</surname> <given-names>RB</given-names>
</name>
<name>
<surname>Smith</surname> <given-names>CH</given-names>
</name>
<name>
<surname>Yiu</surname> <given-names>ZZN</given-names>
</name>
<name>
<surname>Ashcroft</surname> <given-names>DM</given-names>
</name>
<name>
<surname>Barker</surname> <given-names>J</given-names>
</name>
<name>
<surname>Burden</surname> <given-names>AD</given-names>
</name>
<etal/>
</person-group>. <article-title>Differential drug survival of biologic therapies for the treatment of psoriasis: A prospective observational cohort study from the british association of dermatologists biologic interventions register (BADBIR)</article-title>. <source>J Invest Dermatol</source>. (<year>2015</year>) <volume>135</volume>:<page-range>2632&#x2013;40</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/jid.2015.208</pub-id>, PMID: <pub-id pub-id-type="pmid">26053050</pub-id></citation></ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shao</surname> <given-names>S</given-names>
</name>
<name>
<surname>Fang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Dang</surname> <given-names>E</given-names>
</name>
<name>
<surname>Xue</surname> <given-names>K</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Li</surname> <given-names>B</given-names>
</name>
<etal/>
</person-group>. <article-title>Neutrophil extracellular traps promote inflammatory responses in psoriasis via activating epidermal TLR4/IL-36R crosstalk</article-title>. <source>Front Immunol</source>. (<year>2019</year>) <volume>10</volume>:<elocation-id>746</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2019.00746</pub-id>, PMID: <pub-id pub-id-type="pmid">31024570</pub-id></citation></ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhou</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Jin</surname> <given-names>X</given-names>
</name>
<name>
<surname>Li</surname> <given-names>H</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Tao</surname> <given-names>M</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Cholesterol and low-density lipoprotein as a cause of psoriasis: Results from bidirectional Mendelian randomization</article-title>. <source>J Eur Acad Dermatol Venereol</source>. (<year>2024</year>) <volume>38</volume>:<page-range>710&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/jdv.19670</pub-id>, PMID: <pub-id pub-id-type="pmid">38031463</pub-id></citation></ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chuang</surname> <given-names>SM</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>SC</given-names>
</name>
<name>
<surname>Chien</surname> <given-names>MN</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>CC</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>YT</given-names>
</name>
<name>
<surname>Chien</surname> <given-names>KL</given-names>
</name>
</person-group>. <article-title>Neutrophil-to-High-Density Lipoprotein Ratio (NHR) and Neutrophil-to-Lymphocyte Ratio (NLR) as prognostic biomarkers for incident cardiovascular disease and all-cause mortality: A comparison study</article-title>. <source>Am J Prev Cardiol</source>. (<year>2024</year>) <volume>20</volume>:<elocation-id>100869</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ajpc.2024.100869</pub-id>, PMID: <pub-id pub-id-type="pmid">39498213</pub-id></citation></ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hashemi</surname> <given-names>SM</given-names>
</name>
<name>
<surname>Kheirandish</surname> <given-names>M</given-names>
</name>
<name>
<surname>Rafati</surname> <given-names>S</given-names>
</name>
<name>
<surname>Ghazalgoo</surname> <given-names>A</given-names>
</name>
<name>
<surname>Amini-Salehi</surname> <given-names>E</given-names>
</name>
<name>
<surname>Keivanlou</surname> <given-names>MH</given-names>
</name>
<etal/>
</person-group>. <article-title>The association between neutrophil and lymphocyte to high-density lipoprotein cholesterol ratio and metabolic syndrome among Iranian population, finding from Bandare Kong cohort study</article-title>. <source>Lipids Health Dis</source>. (<year>2024</year>) <volume>23</volume>:<fpage>393</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12944-024-02378-5</pub-id>, PMID: <pub-id pub-id-type="pmid">39604922</pub-id></citation></ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xu</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>Association of neutrophil/high-density lipoprotein cholesterol ratio with the cardiovascular-kidney-metabolic syndrome and its cardiovascular mortality</article-title>. <source>Front Nutr</source>. (<year>2025</year>) <volume>12</volume>:<elocation-id>1594041</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fnut.2025.1594041</pub-id>, PMID: <pub-id pub-id-type="pmid">40535046</pub-id></citation></ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Paulose-Ram</surname> <given-names>R</given-names>
</name>
<name>
<surname>Graber</surname> <given-names>JE</given-names>
</name>
<name>
<surname>Woodwell</surname> <given-names>D</given-names>
</name>
<name>
<surname>Ahluwalia</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>The national health and nutrition examination survey (NHANES), 2021-2022: adapting data collection in a COVID-19 environment</article-title>. <source>Am J Public Health</source>. (<year>2021</year>) <volume>111</volume>:<page-range>2149&#x2013;56</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2105/ajph.2021.306517</pub-id>, PMID: <pub-id pub-id-type="pmid">34878854</pub-id></citation></ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Li</surname> <given-names>P</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Qiu</surname> <given-names>M</given-names>
</name>
<name>
<surname>Li</surname> <given-names>J</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Association of systemic immune inflammatory index with all-cause and cause-specific mortality in hypertensive individuals: Results from NHANES</article-title>. <source>Front Immunol</source>. (<year>2023</year>) <volume>14</volume>:<elocation-id>1087345</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2023.1087345</pub-id>, PMID: <pub-id pub-id-type="pmid">36817427</pub-id></citation></ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shi</surname> <given-names>K</given-names>
</name>
<name>
<surname>Hou</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Bi</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zeng</surname> <given-names>X</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
</person-group>. <article-title>Neutrophil-to-high-density-lipoprotein-cholesterol ratio and mortality among patients with hepatocellular carcinoma</article-title>. <source>Front Nutr</source>. (<year>2023</year>) <volume>10</volume>:<elocation-id>1127913</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fnut.2023.1127913</pub-id>, PMID: <pub-id pub-id-type="pmid">37215223</pub-id></citation></ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ruan</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>T</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Yuan</surname> <given-names>M</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>H</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>R</given-names>
</name>
<etal/>
</person-group>. <article-title>Association between psoriasis and nonalcoholic fatty liver disease among outpatient US adults</article-title>. <source>JAMA Dermatol</source>. (<year>2022</year>) <volume>158</volume>:<page-range>745&#x2013;53</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jamadermatol.2022.1609</pub-id>, PMID: <pub-id pub-id-type="pmid">35612851</pub-id></citation></ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Pan</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Fang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Associations of exposure to blood and urinary heavy metal mixtures with psoriasis risk among U</article-title>. <source>S adults: A cross-sectional study Sci Total Environ</source>. (<year>2023</year>) <volume>887</volume>:<elocation-id>164133</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.scitotenv.2023.164133</pub-id>, PMID: <pub-id pub-id-type="pmid">37172860</pub-id></citation></ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tudurachi</surname> <given-names>BS</given-names>
</name>
<name>
<surname>Anghel</surname> <given-names>L</given-names>
</name>
<name>
<surname>Tudurachi</surname> <given-names>A</given-names>
</name>
<name>
<surname>Sasc&#x103;u</surname> <given-names>RA</given-names>
</name>
<name>
<surname>St&#x103;tescu</surname> <given-names>C</given-names>
</name>
</person-group>. <article-title>Assessment of inflammatory hematological ratios (NLR, PLR, MLR, LMR and monocyte/HDL-cholesterol ratio) in acute myocardial infarction and particularities in young patients</article-title>. <source>Int J Mol Sci</source>. (<year>2023</year>) <volume>24</volume>(<issue>18</issue>):<fpage>14378</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ijms241814378</pub-id>, PMID: <pub-id pub-id-type="pmid">37762680</pub-id></citation></ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>R</given-names>
</name>
<name>
<surname>Jin</surname> <given-names>F</given-names>
</name>
<name>
<surname>Zheng</surname> <given-names>L</given-names>
</name>
<name>
<surname>Liao</surname> <given-names>T</given-names>
</name>
<name>
<surname>Guan</surname> <given-names>G</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Neutrophil to high-density lipoprotein ratio is associated with hemorrhagic transformation in patients with acute ischemic stroke</article-title>. <source>J Inflammation Res</source>. (<year>2022</year>) <volume>15</volume>:<page-range>6073&#x2013;85</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2147/jir.S381036</pub-id>, PMID: <pub-id pub-id-type="pmid">36386588</pub-id></citation></ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Fan</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Wan</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Lei</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>Compared with the monocyte to high-density lipoprotein ratio (MHR) and the neutrophil to lymphocyte ratio (NLR), the neutrophil to high-density lipoprotein ratio (NHR) is more valuable for assessing the inflammatory process in Parkinson's disease</article-title>. <source>Lipids Health Dis</source>. (<year>2021</year>) <volume>20</volume>:<fpage>35</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12944-021-01462-4</pub-id>, PMID: <pub-id pub-id-type="pmid">33874966</pub-id></citation></ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tian</surname> <given-names>C</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Tao</surname> <given-names>L</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Tan</surname> <given-names>X</given-names>
</name>
</person-group>. <article-title>Association of neutrophil to high density lipoprotein cholesterol ratio with aortic dissection and aneurysm risk: epidemiological insights from prospective cohort study based on UK biobank</article-title>. <source>BMC Public Health</source>. (<year>2025</year>) <volume>25</volume>:<fpage>886</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12889-025-22061-3</pub-id>, PMID: <pub-id pub-id-type="pmid">40050783</pub-id></citation></ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yang</surname> <given-names>L</given-names>
</name>
<name>
<surname>He</surname> <given-names>C</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>W</given-names>
</name>
</person-group>. <article-title>Association between neutrophil to high-density lipoprotein cholesterol ratio and disease severity in patients with acute biliary pancreatitis</article-title>. <source>Ann Med</source>. (<year>2024</year>) <volume>56</volume>:<elocation-id>2315225</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/07853890.2024.2315225</pub-id>, PMID: <pub-id pub-id-type="pmid">38335727</pub-id></citation></ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Du</surname> <given-names>YZ</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>JQ</given-names>
</name>
<name>
<surname>Yao</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>CT</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>YF</given-names>
</name>
</person-group>. <article-title>Association between the neutrophil-to-high-density lipoprotein cholesterol ratio with kidney stone risk: a cross-sectional study</article-title>. <source>Front Endocrinol (Lausanne)</source>. (<year>2025</year>) <volume>16</volume>:<elocation-id>1523890</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fendo.2025.1523890</pub-id>, PMID: <pub-id pub-id-type="pmid">39963279</pub-id></citation></ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hawkes</surname> <given-names>JE</given-names>
</name>
<name>
<surname>Chan</surname> <given-names>TC</given-names>
</name>
<name>
<surname>Krueger</surname> <given-names>JG</given-names>
</name>
</person-group>. <article-title>Psoriasis pathogenesis and the development of novel targeted immune therapies</article-title>. <source>J Allergy Clin Immunol</source>. (<year>2017</year>) <volume>140</volume>:<page-range>645&#x2013;53</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jaci.2017.07.004</pub-id>, PMID: <pub-id pub-id-type="pmid">28887948</pub-id></citation></ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mutua</surname> <given-names>V</given-names>
</name>
<name>
<surname>Gershwin</surname> <given-names>LJ</given-names>
</name>
</person-group>. <article-title>A review of neutrophil extracellular traps (NETs) in disease: potential anti-NETs therapeutics</article-title>. <source>Clin Rev Allergy Immunol</source>. (<year>2021</year>) <volume>61</volume>:<fpage>194</fpage>&#x2013;<lpage>211</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s12016-020-08804-7</pub-id>, PMID: <pub-id pub-id-type="pmid">32740860</pub-id></citation></ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>SJ</given-names>
</name>
<name>
<surname>Lei</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>S</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Neutrophil extracellular traps in homeostasis and disease</article-title>. <source>Signal Transduct Target Ther</source>. (<year>2024</year>) <volume>9</volume>:<fpage>235</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41392-024-01933-x</pub-id>, PMID: <pub-id pub-id-type="pmid">39300084</pub-id></citation></ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Azzouz</surname> <given-names>D</given-names>
</name>
<name>
<surname>Palaniyar</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>How do ROS induce NETosis? Oxidative DNA damage, DNA repair, and chromatin decondensation</article-title>. <source>Biomolecules</source>. (<year>2024</year>) <volume>14</volume>(<issue>10</issue>):<fpage>1307</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/biom14101307</pub-id>, PMID: <pub-id pub-id-type="pmid">39456240</pub-id></citation></ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Holzer</surname> <given-names>M</given-names>
</name>
<name>
<surname>Wolf</surname> <given-names>P</given-names>
</name>
<name>
<surname>Curcic</surname> <given-names>S</given-names>
</name>
<name>
<surname>Birner-Gruenberger</surname> <given-names>R</given-names>
</name>
<name>
<surname>Weger</surname> <given-names>W</given-names>
</name>
<name>
<surname>Inzinger</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Psoriasis alters HDL composition and cholesterol efflux capacity</article-title>. <source>J Lipid Res</source>. (<year>2012</year>) <volume>53</volume>:<page-range>1618&#x2013;24</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1194/jlr.M027367</pub-id>, PMID: <pub-id pub-id-type="pmid">22649206</pub-id></citation></ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xiao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Jing</surname> <given-names>D</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Peng</surname> <given-names>C</given-names>
</name>
<name>
<surname>Yin</surname> <given-names>M</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Serum lipids and risk of incident psoriasis: A prospective cohort study from the UK biobank study and mendelian randomization analysis</article-title>. <source>J Invest Dermatol</source>. (<year>2022</year>) <volume>142</volume>:<fpage>3192</fpage>&#x2013;<lpage>3199.e12</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jid.2022.06.015</pub-id>, PMID: <pub-id pub-id-type="pmid">35850211</pub-id></citation></ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jin</surname> <given-names>L</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Pan</surname> <given-names>P</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>M</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Low-dose ethanol consumption inhibits neutrophil extracellular traps formation to alleviate rheumatoid arthritis</article-title>. <source>Commun Biol</source>. (<year>2023</year>) <volume>6</volume>:<fpage>1088</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s42003-023-05473-y</pub-id>, PMID: <pub-id pub-id-type="pmid">37884797</pub-id></citation></ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>De Oliveira</surname> <given-names>ESER</given-names>
</name>
<name>
<surname>Foster</surname> <given-names>D</given-names>
</name>
<name>
<surname>McGee Harper</surname> <given-names>M</given-names>
</name>
<name>
<surname>Seidman</surname> <given-names>CE</given-names>
</name>
<name>
<surname>Smith</surname> <given-names>JD</given-names>
</name>
<name>
<surname>Breslow</surname> <given-names>JL</given-names>
</name>
<etal/>
</person-group>. <article-title>Alcohol consumption raises HDL cholesterol levels by increasing the transport rate of apolipoproteins A-I and A-II</article-title>. <source>Circulation</source>. (<year>2000</year>) <volume>102</volume>:<page-range>2347&#x2013;52</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1161/01.cir.102.19.2347</pub-id>, PMID: <pub-id pub-id-type="pmid">11067787</pub-id></citation></ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Arteel</surname> <given-names>GE</given-names>
</name>
<name>
<surname>Gao</surname> <given-names>B</given-names>
</name>
</person-group>. <article-title>When alcohol and fat meet, neutrophil traps form to promote liver injury</article-title>. <source>Gut</source>. (<year>2024</year>) <volume>73</volume>:<page-range>1778&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/gutjnl-2024-332514</pub-id>, PMID: <pub-id pub-id-type="pmid">38969487</pub-id></citation></ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cho</surname> <given-names>KH</given-names>
</name>
<name>
<surname>Nam</surname> <given-names>HS</given-names>
</name>
<name>
<surname>Kang</surname> <given-names>DJ</given-names>
</name>
<name>
<surname>Park</surname> <given-names>MH</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>JH</given-names>
</name>
</person-group>. <article-title>Long-term alcohol consumption caused a significant decrease in serum high-density lipoprotein (HDL)-cholesterol and apolipoprotein A-I with the atherogenic changes of HDL in middle-aged korean women</article-title>. <source>Int J Mol Sci</source>. (<year>2022</year>) <volume>23</volume>(<issue>15</issue>):<fpage>8623</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ijms23158623</pub-id>, PMID: <pub-id pub-id-type="pmid">35955766</pub-id></citation></ref>
</ref-list>
</back>
</article>