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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2024.1396161</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Association between neutrophil-to-lymphocyte ratio and diabetic retinopathy in patients with type 2 diabetes: a cohort study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Tang</surname>
<given-names>Yuchen</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2672721"/>
<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/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<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/supervision/"/>
<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>Li</surname>
<given-names>Li</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/725365"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Jialin</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2324587"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>Department of Endocrinology and Metabolism, The First Affiliated Hospital of Ningbo University</institution>, <addr-line>Ningbo</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Weiwei Liu, Chongqing Medical University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Shengshuai Shan, University of Georgia, United States</p>
<p>Waleed Eldars, Mansoura University, Egypt</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Jialin Li, <email xlink:href="mailto:fyylijialin@nbu.edu.cn">fyylijialin@nbu.edu.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>07</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1396161</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>03</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>01</day>
<month>07</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Tang, Li and Li</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Tang, Li and Li</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Chronic inflammation is implicated in the development of diabetic retinopathy (DR). The neutrophil-to-lymphocyte ratio (NLR) is a marker of systemic inflammation that has been linked to cardiovascular and diabetic kidney diseases. However, the link between NLR and DR remains unclear. As such, this study investigated the association between NLR and DR in Chinese patients.</p>
</sec>
<sec>
<title>Method</title>
<p>A total of 857 adults diagnosed with type 2 diabetes mellitus (T2DM) without DR at baseline between 2018 and 2021, from a single center in Ningbo, China, were included. Baseline clinical data, including age, sex, T2DM duration, hypertension, smoking, drinking, glycated hemoglobin level, lipid profile, renal function, and NLR, were recorded and analyzed. Cox proportional hazard regression analysis was used to assess the association between NLR and the risk for incident DR.</p>
</sec>
<sec>
<title>Results</title>
<p>During a median follow-up of 3.0 years, 140 patients developed DR. The multivariable-adjusted hazard ratio (HR) for incident DR across ascending NLR quartiles (&#x2264;1.46 [reference], 1.47&#x2013;1.90, 1.91&#x2013;2.45 and &gt; 2.45) were 1.000, 1.327 (95% confidence interval [CI] 0.754&#x2013;2.334), 1.555 (95% CI 0.913&#x2013;2.648) and 2.217 (95% CI 1.348&#x2013;3.649), respectively. For each 1-standard deviation increase in NLR, the risk for DR increased by 29.2% (HR 1.292 [95% CI 1.112&#x2013;1.501) after adjusting for confounding factors.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Results revealed that a higher NLR at baseline was associated with an increased risk for incident DR. NLR has the potential to be an inexpensive, reliable, and valuable clinical measure that merits further exploration in future studies.</p>
</sec>
</abstract>
<kwd-group>
<kwd>neutrophil-to-lymphocyte ratio</kwd>
<kwd>diabetic retinopathy</kwd>
<kwd>type 2 diabetes</kwd>
<kwd>inflammation</kwd>
<kwd>cohort study</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="32"/>
<page-count count="6"/>
<word-count count="3066"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Clinical Diabetes</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Diabetes mellitus (DM) is a slowly progressive metabolic illness characterized by long-standing hyperglycemia that can cause various complications (<xref ref-type="bibr" rid="B1">1</xref>). Diabetic retinopathy (DR) is one of the most prevalent complications and a leading cause of blindness among working-age adults, seriously affecting patient quality of life and increased financial burden (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). The early detection and prevention of DR are crucial to avoid blindness.</p>
<p>There is accumulating evidence that chronic low-grade inflammation has a particular influence on the development of DM and metabolic syndrome (<xref ref-type="bibr" rid="B4">4</xref>). Chronic inflammation is a hallmark of type 2 DM (T2DM), possibly due to insulin resistance and impaired glucose metabolism (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>DR is a progressive microvascular and neurodegenerative disease that occurs gradually with years of poor glycemic control (<xref ref-type="bibr" rid="B6">6</xref>). Although clinical signs, such as acellular capillaries, retinal nonperfusion, and ischemia appear later, early changes involve persistent low-grade leukocyte activation triggered by metabolic dysregulation (<xref ref-type="bibr" rid="B7">7</xref>). This activation disrupts the retinal neurovascular unit and its cellular components (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>The neutrophil-to-lymphocyte ratio (NLR), which is the synthesis of two distinct but complementary immune pathways of the innate and adaptive cellular immune responses, has been studied extensively as an inflammatory marker in many malignant and benign diseases (<xref ref-type="bibr" rid="B8">8</xref>). Western studies have reported that an elevated NLR is independently linked to increased cardiovascular death and all-cause mortality in patients with diabetes, as well as a higher risk for diabetic kidney disease (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). However, the relationship between the NLR and DR remains unclear, with only a limited number of cross-sectional studies exploring this relationship (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). As such, the present cohort study aimed to evaluate whether the presence of DR is correlated with NLR in Chinese patients.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study population</title>
<p>In this retrospective cohort study, patients diagnosed with T2DM, who attended the Department of Endocrinology and Metabolism, First Affiliated Hospital of Ningbo University, and participated in the multihospital-based program of the National Metabolic Management Center (MMC) were recruited from March 2018 to December 2021. The MMC program, led by Ruijin Hospital in Shanghai (China), followed a standard protocol for the professional management and follow-up of patients with DM (<xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>The inclusion criteria were as follows: age 18&#x2013;75 years; confirmed T2DM diagnosis (1999 World Health Organization criteria (<xref ref-type="bibr" rid="B14">14</xref>)); absence of DR at baseline; and available annual fundus photography data. Exclusion criteria were as follows: history of other fundus diseases; history of hematological diseases; acute diabetic complications, such as diabetic ketoacidosis; other concomitant conditions influencing glucose metabolism (acute infection, chemotherapy, use of corticosteroids); history of cancer, heart failure, end-stage renal disease, chronic liver disease; or loss to follow-up or short follow-up (&lt;2 years). In total, data from 857 patients were included in the final analysis. This study adhered to the Declaration of Helsinki and was approved by the Ethics Committees of both hospitals (Ruijin Hospital: 2017 No. 42; Ningbo University: 2019-R057). Informed consent was obtained from all participants.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Baseline clinical and biological characteristics</title>
<p>Demographic information (age, sex, and T2DM duration), lifestyle habits (history of smoking and alcohol consumption), and medical histories were obtained using standardized MMC questionnaires. Trained nurses measured the height, weight, and waist circumference of the participants. Body mass index was calculated as the ratio of weight (kg) to height squared (m<sup>2</sup>). Visceral fat area was assessed using dual bioelectrical impedance analysis (DUALSCAN HDS-2000, Omron, Japan).</p>
<p>Hypertension was defined as systolic blood pressure (SBP) &#x2265;140 mmHg and/or diastolic blood pressure (DBP) &#x2265;90 mmHg or antihypertensive medication use (<xref ref-type="bibr" rid="B15">15</xref>). Dyslipidemia was defined as fasting triglycerides (TG) &#x2265;1.7 mmol/L, high-density lipoprotein cholesterol (HDL-c) &#x2264;1.04 mmol/L (males) or &#x2264;1.30 mmol/L (females), and low-density lipoprotein cholesterol (LDL-c) &#x2265; 2.60 mmol/L determined by enzymatic assays (AU5800, Beckman Coulter, USA) or on lipid-lowering agents (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>After an overnight fast, venous blood and urine samples were collected in the morning. Complete blood count with differential analysis was performed using an automated analyzer (Sysmex XN-9000, Kobe, Japan). The NLR was calculated. Glycated hemoglobin (HbA1c), fasting plasma glucose, and fasting insulin levels were measured using established methods (D-10 Hemoglobin Analyzer, Bio-Rad, Hercules, CA, USA; glucose oxidase method; chemiluminescence immunoassay). The Homeostatic Model Assessment for Insulin Resistance (i.e., &#x201c;HOMA-IR&#x201d;) index, reflecting insulin resistance, was calculated using a standard equation: fasting blood glucose (FBG, mmol/L) &#xd7; fasting insulin (mU/L) &#xf7; 22.5 (<xref ref-type="bibr" rid="B17">17</xref>). Serum creatinine and uric acid levels were measured using standard enzymatic methods (AU5800, Beckman Coulter, Brea, CA, USA). The estimated glomerular filtration rate (eGFR) was determined using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) algorithm (<xref ref-type="bibr" rid="B18">18</xref>). The urinary albumin-to-creatinine ratio (UACR) was calculated from the ratio of urinary albumin to creatinine measured in spot urine samples using immunonephelometry (albumin) and enzymatic methods (creatinine).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Outcome</title>
<p>The primary outcome was incident DR. All patients underwent non-mydriatic fundus photography at the first visit and were re-evaluated for DR during each annual visit (Topcon, Tokyo, Japan) (<xref ref-type="bibr" rid="B19">19</xref>). Two images were captured per eye, centered on the macula and optic nerve at 45&#xb0;, following established protocols for effective DR screening (<xref ref-type="bibr" rid="B20">20</xref>). DR was diagnosed based on the International Classification of DR (<xref ref-type="bibr" rid="B21">21</xref>).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Statistical analysis</title>
<p>Normally distributed continuous variables are expressed as mean &#xb1; standard deviation (SD) and were compared using independent-samples <italic>t</italic>-tests. Continuous variables with non-normal distribution are expressed as median and interquartile range (i.e., 25th percentile, 75th percentile) and compared using the Mann&#x2013;Whitney U test. Categorical variables are expressed as frequency (percentage) and compared using the chi-squared test to assess differences in baseline characteristics between patients with incident DR and those without DR (NDR) in the T2DM group.</p>
<p>Cox proportional hazards regression was applied to evaluate the association between NLR, as either categorical (quartile 1, reference group: &#x2264;1.46; quartile 2, 1.47&#x2013;1.90; quartile 3, 1.91&#x2013;2.45; and quartile 4, &gt; 2.45) or continuous variable (per 1-standard deviation [SD] change), and the occurrence of DR (yes versus [vs.] no). The analyses were first performed without adjustment (model 1) and were then adjusted for age, sex (model 2), T2DM course, smoking history, drinking history, BMI, SBP, TG, HbA1c, FBG, fasting insulin, uric acid, eGFR, and UACR (model 3). Covariates for the multivariate model were chosen based on the literature and univariate analysis. Differences with a two-tailed <italic>P</italic>&lt;0.05 were considered to be statistically significant. Data analysis was performed using SPSS version 27.0 (IBM Corp., Armonk, NY, USA) for Windows (Microsoft Corp., Redmond, WA, USA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<p>A total of 857 (560 male, 297 female) subjects were included in the final analysis. Over a median 3-year follow-up period, 140 patients developed DR. Baseline characteristics stratified according to incident DR are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The median NLR was 2.21 in patients who developed the retinopathy outcome (i.e., DR), compared with 1.86 in the patients not developing retinopathy (i.e., NDR) (<italic>P</italic>&lt;0.001). The 25th, 50th, and 75th NLR percentiles were 1.46, 1.90, and 2.45, respectively. Briefly, subjects with incident DR had a notably higher mean age (52.4 vs. 47.3 years; <italic>P</italic>&lt;0.001), a longer diabetes course (median 89.5 vs. 42 months; <italic>P</italic>&lt;0.001), higher levels of HbA1c (median 7.75% vs. 7.3%; <italic>P</italic>=0.001), FBG (median 8.60 vs. 7.63 mmol/L; <italic>P</italic>=0.046), NLR and lower levels of fasting insulin (median 8.26 vs. 9.85 mU/L; <italic>P</italic>=0.015), TGs (median 1.27 vs. 1.49 mmol/L; <italic>P</italic>=0.048), uric acid (mean 316.10 vs. 336.51&#x3bc;mol/L; <italic>P</italic>=0.010), and eGFR (mean 104.79 vs. 107.72 mL/min/1. 73m<sup>2</sup>; <italic>P</italic>=0.043) than those without incident DR.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Clinical characteristics of patients grouped by the incident diabetic retinopathy.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">Non-DR<break/>(n = 717)</th>
<th valign="top" align="left">DR<break/>(n =140)</th>
<th valign="top" align="left">
<italic>P</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="left">47.3 &#xb1; 11.2</td>
<td valign="top" align="left">52.4 &#xb1; 10.9</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Male, n (%)</td>
<td valign="top" align="left">470 (65.6)</td>
<td valign="top" align="left">90 (64.3)</td>
<td valign="top" align="left">0.774</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes course, months</td>
<td valign="top" align="left">42 (6, 97)</td>
<td valign="top" align="left">89.5 (24, 146)</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Smoking history, n (%)</td>
<td valign="top" align="left">317 (44.2)</td>
<td valign="top" align="left">58 (41.4)</td>
<td valign="top" align="left">0.544</td>
</tr>
<tr>
<td valign="top" align="left">Drinking history, n (%)</td>
<td valign="top" align="left">416 (58.0)</td>
<td valign="top" align="left">69 (49.3)</td>
<td valign="top" align="left">0.057</td>
</tr>
<tr>
<td valign="top" align="left">SBP, mmHg</td>
<td valign="top" align="left">131.75 &#xb1; 17.39</td>
<td valign="top" align="left">134.75 &#xb1; 18.89</td>
<td valign="top" align="left">0.066</td>
</tr>
<tr>
<td valign="top" align="left">DBP, mmHg</td>
<td valign="top" align="left">80.63 &#xb1; 11.00</td>
<td valign="top" align="left">79.37 &#xb1; 11.23</td>
<td valign="top" align="left">0.216</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension, n (%)</td>
<td valign="top" align="left">387 (54.0)</td>
<td valign="top" align="left">79 (56.4)</td>
<td valign="top" align="left">0.594</td>
</tr>
<tr>
<td valign="top" align="left">Dyslipidemia, n (%)</td>
<td valign="top" align="left">639 (89.1)</td>
<td valign="top" align="left">117 (83.6)</td>
<td valign="top" align="left">0.062</td>
</tr>
<tr>
<td valign="top" align="left">BMI, kg/m<sup>2</sup>
</td>
<td valign="top" align="left">25.60 &#xb1; 3.93</td>
<td valign="top" align="left">25.09 &#xb1; 3.01</td>
<td valign="top" align="left">0.081</td>
</tr>
<tr>
<td valign="top" align="left">Waist Circumference, cm</td>
<td valign="top" align="left">89.59 &#xb1; 10.86</td>
<td valign="top" align="left">88.50 &#xb1; 9.74</td>
<td valign="top" align="left">0.269</td>
</tr>
<tr>
<td valign="top" align="left">VFA, cm<sup>2</sup>
</td>
<td valign="top" align="left">95.78 &#xb1; 41.42</td>
<td valign="top" align="left">92.01 &#xb1; 40.53</td>
<td valign="top" align="left">0.334</td>
</tr>
<tr>
<td valign="top" align="left">HbA1c, %</td>
<td valign="top" align="left">7.3 (6.3, 8.9)</td>
<td valign="top" align="left">7.75 (6.8, 9.75)</td>
<td valign="top" align="left">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Fasting blood glucose, mmol/L</td>
<td valign="top" align="left">7.63 (6.52, 9.61)</td>
<td valign="top" align="left">8.60 (6.61, 10.37)</td>
<td valign="top" align="left">0.046</td>
</tr>
<tr>
<td valign="top" align="left">Fasting insulin, mU/L</td>
<td valign="top" align="left">9.85 (6.51, 14.93)</td>
<td valign="top" align="left">8.26 (4.91, 13.37)</td>
<td valign="top" align="left">0.015</td>
</tr>
<tr>
<td valign="top" align="left">HOMA-IR</td>
<td valign="top" align="left">3.52 (2.19, 5.80)</td>
<td valign="top" align="left">3.31 (1.91, 5.57)</td>
<td valign="top" align="left">0.161</td>
</tr>
<tr>
<td valign="top" align="left">Triglycerides, mmol/L</td>
<td valign="top" align="left">1.49 (0.99, 2.21)</td>
<td valign="top" align="left">1.27 (0.94, 2.10)</td>
<td valign="top" align="left">0.048</td>
</tr>
<tr>
<td valign="top" align="left">Total cholesterol, mmol/L</td>
<td valign="top" align="left">4.70 &#xb1; 1.18</td>
<td valign="top" align="left">4.56 &#xb1; 1.14</td>
<td valign="top" align="left">0.197</td>
</tr>
<tr>
<td valign="top" align="left">HDL-C, mmol/L</td>
<td valign="top" align="left">1.16 &#xb1; 0.27</td>
<td valign="top" align="left">1.20 &#xb1; 0.29</td>
<td valign="top" align="left">0.133</td>
</tr>
<tr>
<td valign="top" align="left">LDL-C, mmol/L</td>
<td valign="top" align="left">3.07 &#xb1; 0.88</td>
<td valign="top" align="left">2.99 &#xb1; 0.89</td>
<td valign="top" align="left">0.346</td>
</tr>
<tr>
<td valign="top" align="left">Uric acid, &#x3bc;mol/L</td>
<td valign="top" align="left">336.51 &#xb1; 85.53</td>
<td valign="top" align="left">316.10 &#xb1; 83.05</td>
<td valign="top" align="left">0.010</td>
</tr>
<tr>
<td valign="top" align="left">Creatinine, &#x3bc;mol/L</td>
<td valign="top" align="left">63.70 &#xb1; 15.65</td>
<td valign="top" align="left">62.33 &#xb1; 17.71</td>
<td valign="top" align="left">0.357</td>
</tr>
<tr>
<td valign="top" align="left">eGFR, mL/min/1. 73m<sup>2</sup>
</td>
<td valign="top" align="left">107.72 &#xb1; 15.19</td>
<td valign="top" align="left">104.79 &#xb1; 17.70</td>
<td valign="top" align="left">0.043</td>
</tr>
<tr>
<td valign="top" align="left">UACR, mg/g</td>
<td valign="top" align="left">10.63 (5.66, 26.53)</td>
<td valign="top" align="left">12.00 (7.03, 26.95)</td>
<td valign="top" align="left">0.093</td>
</tr>
<tr>
<td valign="top" align="left">NLR</td>
<td valign="top" align="left">1.86 (1.43, 2.39)</td>
<td valign="top" align="left">2.21 (1.59, 2.71)</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>DR, diabetic retinopathy; SBP, systolic blood pressure; DBP, diastolic blood pressure; BMI, Body mass index; VFA, visceral abdominal fat area; HbA1c, glycated hemoglobin; HOMA-IR, insulin resistance index; HDL-C, high-density lipoprotein cholesterol; LDL- C, low-density lipoprotein cholesterol; Cr, blood creatinine; eGFR, glomerular filtration rate; UACR, urinary albumin-to-creatinine ratio; NLR, neutrophil-to-lymphocyte ratio.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The multivariable-adjusted (age, sex, diabetes course, smoking history, drinking history, BMI, SBP, TG, HbA1c, FBG, fasting insulin, uric acid, eGFR, and UACR) hazard ratios (HRs) for incident DR across ascending NLR quartiles (&#x2264;1.46 [reference], 1.47&#x2013;1.90, 1.91&#x2013;2.45 and &gt; 2.45) were 1.000, 1.327 (95% confidence interval [CI] 0.754&#x2013;2.334), 1.555 (95% CI 0.913&#x2013;2.648) and 2.217 (95% CI 1.348&#x2013;3.649), respectively (<italic>P</italic>=0.011) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). For each 1-SD increase in NLR, the risk for DR increased by 29.2% (HR 1.292 [95% CI 1.112&#x2013;1.501]; <italic>P</italic>=0.001) after adjusting for confounders (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Age, diabetes course, and HbA1c level were also independently associated with incident DR (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Hazard ratios for diabetic retinopathy according to neutrophil-to-lymphocyte ratio as categorical variable.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left"/>
<th valign="top" colspan="5" align="left">NLR quartile</th>
</tr>
<tr>
<th valign="top" align="left">Q1 (&#x2264;1.46)</th>
<th valign="top" align="left">Q2 (1.47&#x2013;1.90)</th>
<th valign="top" align="left">Q3 (1.91&#x2013;2.45)</th>
<th valign="top" align="left">Q4 (&gt; 2.45)</th>
<th valign="top" align="left">
<italic>P</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">No. of participants</td>
<td valign="top" align="left">215</td>
<td valign="top" align="left">214</td>
<td valign="top" align="left">215</td>
<td valign="top" align="left">213</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">No. of cases</td>
<td valign="top" align="left">24</td>
<td valign="top" align="left">26</td>
<td valign="top" align="left">38</td>
<td valign="top" align="left">52</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">HRs for incident DR (95% CI)</th>
</tr>
<tr>
<td valign="top" align="left">Model 1</td>
<td valign="top" align="left">1.000</td>
<td valign="top" align="left">1.156 (0.664&#x2013;2.013)</td>
<td valign="top" align="left">1.621 (0.972&#x2013;2.702)</td>
<td valign="top" align="left">2.507 (1.545&#x2013;4.068)</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Model 2</td>
<td valign="top" align="left">1.000</td>
<td valign="top" align="left">1.163 (0.668&#x2013;2.026)</td>
<td valign="top" align="left">1.640 (0.983&#x2013;2.734)</td>
<td valign="top" align="left">2.293 (1.411&#x2013;3.726)</td>
<td valign="top" align="left">0.002</td>
</tr>
<tr>
<td valign="top" align="left">Model 3</td>
<td valign="top" align="left">1.000</td>
<td valign="top" align="left">1.327 (0.754&#x2013;2.334)</td>
<td valign="top" align="left">1.555 (0.913&#x2013;2.648)</td>
<td valign="top" align="left">2.217 (1.348&#x2013;3.649)</td>
<td valign="top" align="left">0.011</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Model 1: unadjusted; Model 2: adjusted for age and sex; Model 3: adjusted for age, sex, diabetes course, smoking history, drinking history, body mass index, systolic blood pressure, triglycerides, glycated hemoglobin, fasting blood glucose, fasting insulin, uric acid, glomerular filtration rate and urinary albumin-to-creatinine ratio. DR, diabetic retinopathy; NLR, neutrophil-to-lymphocyte ratio; HR, hazard ratio; CI, confidence interval.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>The adjusted multivariable cox regression for diabetic retinopathy according to neutrophil-to-lymphocyte ratio as continuous variable.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">HR</th>
<th valign="top" align="left">95% CI</th>
<th valign="top" align="left">
<italic>P</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left">1.034</td>
<td valign="top" align="left">1.015, 1.052</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes course</td>
<td valign="top" align="left">1.005</td>
<td valign="top" align="left">1.002, 1.007</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">HbA1c</td>
<td valign="top" align="left">1.198</td>
<td valign="top" align="left">1.107, 1.298</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">NLR</td>
<td valign="top" align="left">1.292</td>
<td valign="top" align="left">1.112, 1.501</td>
<td valign="top" align="left">0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NLR, neutrophil-to-lymphocyte ratio; HR, hazard ratio; CI, confidence interval.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>The present cohort study identified a positive correlation between NLR, a composite metric for chronic inflammation, and the incidence of DR in patients with T2DM. Each 1-SD increase in the NLR corresponded to a 29% increased risk for developing DR.</p>
<p>Chronic low-grade inflammation and endothelial dysfunction are well-established contributors to insulin resistance, T2DM, and other microvascular and macrovascular complications (<xref ref-type="bibr" rid="B12">12</xref>). Inflammatory responses triggered by hyperglycemia play a key role in vascular dysfunction. Hyperglycemia induces the production of reactive oxygen species and upregulates the expression of pro-inflammatory and pro-coagulant factors, which promote adhesion between white blood cells and endothelial cells (<xref ref-type="bibr" rid="B22">22</xref>). The accumulation of leukocytes in capillaries disrupts the normal structure between the retinal endothelial cells and pericytes, leading to a damaged blood-retinal barrier. Excessive accumulation of leukocytes can cause vascular blockage and leakage, which in turn exacerbate damage to the blood-retinal barrier (<xref ref-type="bibr" rid="B23">23</xref>). Overall, the emergence of inflammatory mediators and disturbances in the balance between angiogenesis-related factors promote the development of DR (<xref ref-type="bibr" rid="B24">24</xref>). This results in increased retinal vascular permeability, neurodegeneration, damage to the blood-reticulum barrier, and neovascularization, ultimately leading to diabetic macular edema and proliferative DR (<xref ref-type="bibr" rid="B24">24</xref>). NLR reflects both cellular immune activation and systemic inflammatory response, acting as an indicator of the balance between two key immune system components: neutrophils, active non-specific inflammatory cells, lymphocytes, and protective or regulatory cells (<xref ref-type="bibr" rid="B8">8</xref>). The NLR has emerged as a promising marker in this context.</p>
<p>Our results are consistent with those of most previous studies that have explored the relationship between the inflammatory index and diabetic complications. This aligns with a case-control study from Turkey (<xref ref-type="bibr" rid="B25">25</xref>), where NLR levels were higher in patients with diabetes and DR than in those without DR. While some studies, such as those from northern China (<xref ref-type="bibr" rid="B26">26</xref>), reported higher NLR in patients with DR, and the investigators did not find NLR to be an independent risk factor. Moreover, another cross-sectional study from Turkey that analyzed 114 patients with T2DM reported that NLR was not independently associated with DR (<xref ref-type="bibr" rid="B27">27</xref>). Potential explanations for these variations include the larger sample size, differences in subject characteristics, and variations in lifestyle factors.</p>
<p>Several studies have supported the link between NLR and diabetic microvascular complications. A cross-sectional study observed a positive association between a higher NLR and the occurrence of both nephropathy and retinopathy in an Indian population (<xref ref-type="bibr" rid="B12">12</xref>). Additionally, an elevated NLR was correlated with diabetic nephropathy in other studies (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B28">28</xref>) and even served as an independent predictor of kidney function decline in individuals with DM (<xref ref-type="bibr" rid="B29">29</xref>). DR and nephropathy share common underlying mechanisms and often co-occur (<xref ref-type="bibr" rid="B30">30</xref>). Given this shared etiology and the association between NLR and both complications, NLR may emerge as a valuable predictor and prognostic marker for both DR and nephropathy.</p>
<p>The present study had several limitations, the first of which was its retrospective cohort design, which precluded the determination of a causal relationship between the biomarkers and outcomes. Second, we did not analyze correlations stratified according to DR severity (i.e., non-proliferative and proliferative DR), because only 1 participant developed proliferative DR. Third, lifestyle, socioeconomic, and pharmacological interventions were not considered in this study. Additionally, the relatively short follow-up period limited our ability to fully assess the long-term impact of NLR on DR progression. Future studies with larger cohorts and extended follow-up periods are essential to validate our findings and explore these associations more thoroughly.</p>
<p>In summary, results of the present study indicate that the incidence of DR is associated with a higher NLR. These findings may provide instructive options for clinical practice. According to statistics, there are an estimated 141 million patients with diabetes in China, and the number of patients with DR has exceeded 19 million (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). With an aging population and a high incidence of DM, dealing with visual impairment and blindness is a huge challenge. Screening for DR offers a preferable solution to decrease preventable blindness and the medical economic burden. According to these guidelines, routine screening every to 1&#x2013;2 years is recommended. Based on the results of our study, we recommend that patients with diabetes and higher NLR should undergo a shorter period of regular screening for DR (e.g., 6 months). Eye examination by fundus photography using a non-mydriatic fundus camera costs &lt; $2 in our hospital, and early detection of DR could save thousands from medical expenditures for the treatment of DR.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>In conclusion, results of the present study indicated that, among patients with T2DM, a higher NLR was associated with an increased risk for incident DR. Given the advantages of NLR in terms of stability and accessibility, this result further supports that NLR could be a valuable clinical measure. Future studies with various populations and designs are necessary to further explore the potential value of the NLR in predicting diabetes-related outcomes.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Research Ethics Committee of Ruijin Hospital (2017 No. 42) and the First Affiliated Hospital of Ningbo University (2019-R057). 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>YT: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Software, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. LL: Funding acquisition, Writing &#x2013; review &amp; editing. JL: Funding acquisition, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Medical Health Science and Technology Project of Zhejiang Province, No. 2022KY1109 and Ningbo Key Clinical Specialty (Endocrinology), No. 2022-B07.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank Yanshu Chen, Lijuan Yin and Miao Chen for managing MMC dataset at The First Affiliated Hospital of Ningbo University.</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="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>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Elbeyli</surname> <given-names>A</given-names>
</name>
<name>
<surname>Kurtul</surname> <given-names>BE</given-names>
</name>
<name>
<surname>Ozcan</surname> <given-names>SC</given-names>
</name>
<name>
<surname>Ozarslan Ozcan</surname> <given-names>D</given-names>
</name>
</person-group>. <article-title>The diagnostic value of systemic immune-inflammation index in diabetic macular oedema</article-title>. <source>Clin Exp Optom</source>. (<year>2022</year>) <volume>105</volume>:<page-range>831&#x2013;5</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/08164622.2021.1994337</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<collab>American Diabetes Association Professional Practice Committee</collab>
</person-group>. <article-title>12. Retinopathy, neuropathy, and foot care: standards of care in diabetes-2024</article-title>. <source>Diabetes Care</source>. (<year>2024</year>) <volume>47</volume>:<page-range>S231&#x2013;43</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2337/dc24-S012</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yau</surname> <given-names>JW</given-names>
</name>
<name>
<surname>Rogers</surname> <given-names>SL</given-names>
</name>
<name>
<surname>Kawasaki</surname> <given-names>R</given-names>
</name>
<name>
<surname>Lamoureux</surname> <given-names>EL</given-names>
</name>
<name>
<surname>Kowalski</surname> <given-names>JW</given-names>
</name>
<name>
<surname>Bek</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Global prevalence and major risk factors of diabetic retinopathy</article-title>. <source>Diabetes Care</source>. (<year>2012</year>) <volume>35</volume>:<page-range>556&#x2013;64</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2337/dc11-1909</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>S</given-names>
</name>
<name>
<surname>Pan</surname> <given-names>X</given-names>
</name>
<name>
<surname>Jia</surname> <given-names>B</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Exploring the correlation between the systemic immune inflammation index (SII), systemic inflammatory response index (SIRI), and type 2 diabetic retinopathy</article-title>. <source>Diabetes Metab Syndr Obes</source>. (<year>2023</year>) <volume>16</volume>:<page-range>3827&#x2013;36</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2147/DMSO.S437580</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Matulewicz</surname> <given-names>N</given-names>
</name>
<name>
<surname>Karczewska-Kupczewska</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Insulin resistance and chronic inflammation</article-title>. <source>Postepy Hig Med Dosw (Online)</source>. (<year>2016</year>) <volume>70</volume>:<page-range>1245&#x2013;58</page-range>.</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>GT</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>JF</given-names>
</name>
</person-group>. <article-title>Inflammation in diabetic retinopathy: possible roles in pathogenesis and potential implications for therapy</article-title>. <source>Neural Regener Res</source>. (<year>2023</year>) <volume>18</volume>:<page-range>976&#x2013;82</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.4103/1673-5374.355743</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Forrester</surname> <given-names>JV</given-names>
</name>
<name>
<surname>Kuffova</surname> <given-names>L</given-names>
</name>
<name>
<surname>Delibegovic</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>The role of inflammation in diabetic retinopathy</article-title>. <source>Front Immunol</source>. (<year>2020</year>) <volume>11</volume>:<elocation-id>583687</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2020.583687</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zahorec</surname> <given-names>R</given-names>
</name>
</person-group>. <article-title>Neutrophil-to-lymphocyte ratio, past, present and future perspectives</article-title>. <source>Bratisl Lek Listy</source>. (<year>2021</year>) <volume>122</volume>:<page-range>474&#x2013;88</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.4149/BLL_2021_078</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dong</surname> <given-names>G</given-names>
</name>
<name>
<surname>Gan</surname> <given-names>M</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Xie</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>M</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>L</given-names>
</name>
</person-group>. <article-title>The neutrophil-lymphocyte ratio as a risk factor for all-cause and cardiovascular mortality among individuals with diabetes: evidence from the NHANES 2003-2016</article-title>. <source>Cardiovasc Diabetol</source>. (<year>2023</year>) <volume>22</volume>:<fpage>267</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12933-023-01998-y</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jaaban</surname> <given-names>M</given-names>
</name>
<name>
<surname>Zetoune</surname> <given-names>AB</given-names>
</name>
<name>
<surname>Hesenow</surname> <given-names>S</given-names>
</name>
<name>
<surname>Hessenow</surname> <given-names>R</given-names>
</name>
</person-group>. <article-title>Neutrophil-lymphocyte ratio and platelet-lymphocyte ratio as novel risk markers for diabetic nephropathy in patients with type 2 diabetes</article-title>. <source>Heliyon</source>. (<year>2021</year>) <volume>7</volume>:<elocation-id>e07564</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.heliyon.2021.e07564</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>RT</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>JR</given-names>
</name>
<name>
<surname>Li</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>T</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>KJ</given-names>
</name>
</person-group>. <article-title>Neutrophil-Lymphocyte ratio is associated with arterial stiffness in diabetic retinopathy in type 2 diabetes</article-title>. <source>J Diabetes Complications</source>. (<year>2015</year>) <volume>29</volume>:<page-range>245&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jdiacomp.2014.11.006</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chittawar</surname> <given-names>S</given-names>
</name>
<name>
<surname>Dutta</surname> <given-names>D</given-names>
</name>
<name>
<surname>Qureshi</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Surana</surname> <given-names>V</given-names>
</name>
<name>
<surname>Khandare</surname> <given-names>S</given-names>
</name>
<name>
<surname>Dubey</surname> <given-names>TN</given-names>
</name>
</person-group>. <article-title>Neutrophil-lymphocyte ratio is a novel reliable predictor of nephropathy, retinopathy, and coronary artery disease in Indians with type-2 diabetes</article-title>. <source>Indian J Endocrinol Metab</source>. (<year>2017</year>) <volume>21</volume>:<page-range>864&#x2013;70</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.4103/ijem.IJEM_197_17</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Ning</surname> <given-names>G</given-names>
</name>
</person-group>. <article-title>Metabolic Management Center: An innovation project for the management of metabolic diseases and complications in China</article-title>. <source>J Diabetes</source>. (<year>2019</year>) <volume>11</volume>:<page-range>11&#x2013;3</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/1753-0407.12847</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="book">
<person-group person-group-type="author">
<collab>World Health Organization</collab>
</person-group>. <source>Definition, diagnosis and classification of diabetes mellitus and its complications. Report of a WHO Consultation. Part 1: diagnosis and classification of diabetes mellitus</source>. <publisher-loc>Geneva, Switzerland</publisher-loc>: <publisher-name>WHO Department of Noncommunicable Disease Surveillance</publisher-name> (<year>1999</year>).</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chobanian</surname> <given-names>AV</given-names>
</name>
<name>
<surname>Bakris</surname> <given-names>GL</given-names>
</name>
<name>
<surname>Black</surname> <given-names>HR</given-names>
</name>
<name>
<surname>Cushman</surname> <given-names>WC</given-names>
</name>
<name>
<surname>Green</surname> <given-names>LA</given-names>
</name>
<name>
<surname>Izzo</surname> <given-names>JL</given-names>
<suffix>Jr</suffix>
</name>
<etal/>
</person-group>. <article-title>The seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure: the JNC 7 report</article-title>. <source>JAMA</source>. (<year>2003</year>) <volume>289</volume>:<page-range>2560&#x2013;72</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jama.289.19.2560</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lee</surname> <given-names>CH</given-names>
</name>
<name>
<surname>Lui</surname> <given-names>DT</given-names>
</name>
<name>
<surname>Cheung</surname> <given-names>CY</given-names>
</name>
<name>
<surname>Fong</surname> <given-names>CH</given-names>
</name>
<name>
<surname>Yuen</surname> <given-names>MM</given-names>
</name>
<name>
<surname>Woo</surname> <given-names>YC</given-names>
</name>
<etal/>
</person-group>. <article-title>Circulating AFABP, FGF21, and PEDF levels as prognostic biomarkers of sight-threatening diabetic retinopathy</article-title>. <source>J Clin Endocrinol Metab</source>. (<year>2023</year>) <volume>108</volume>:<page-range>e799&#x2013;806</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1210/clinem/dgad112</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tahapary</surname> <given-names>DL</given-names>
</name>
<name>
<surname>Pratisthita</surname> <given-names>LB</given-names>
</name>
<name>
<surname>Fitri</surname> <given-names>NA</given-names>
</name>
<name>
<surname>Marcella</surname> <given-names>C</given-names>
</name>
<name>
<surname>Wafa</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kurniawan</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Challenges in the diagnosis of insulin resistance: Focusing on the role of HOMA-IR and Tryglyceride/glucose index</article-title>. <source>Diabetes Metab Syndr</source>. (<year>2022</year>) <volume>16</volume>:<elocation-id>102581</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.dsx.2022.102581</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Levey</surname> <given-names>AS</given-names>
</name>
<name>
<surname>Stevens</surname> <given-names>LA</given-names>
</name>
<name>
<surname>Schmid</surname> <given-names>CH</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>YL</given-names>
</name>
<name>
<surname>Castro</surname> <given-names>AF</given-names>
<suffix>3rd</suffix>
</name>
<name>
<surname>Feldman</surname> <given-names>HI</given-names>
</name>
<etal/>
</person-group>. <article-title>A new equation to estimate glomerular filtration rate</article-title>. <source>Ann Intern Med</source>. (<year>2009</year>) <volume>150</volume>:<page-range>604&#x2013;12</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.7326/0003-4819-150-9-200905050-00006</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>An</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Dong</surname> <given-names>H</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>W</given-names>
</name>
<name>
<surname>Ke</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Low serum levels of bone turnover markers are associated with the presence and severity of diabetic retinopathy in patients with type 2 diabetes mellitus</article-title>. <source>J Diabetes</source>. (<year>2021</year>) <volume>13</volume>:<page-range>111&#x2013;23</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/1753-0407.13089</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lanzetta</surname> <given-names>P</given-names>
</name>
<name>
<surname>Sarao</surname> <given-names>V</given-names>
</name>
<name>
<surname>Scanlon</surname> <given-names>PH</given-names>
</name>
<name>
<surname>Barratt</surname> <given-names>J</given-names>
</name>
<name>
<surname>Porta</surname> <given-names>M</given-names>
</name>
<name>
<surname>Bandello</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Fundamental principles of an effective diabetic retinopathy screening program</article-title>. <source>Acta Diabetol</source>. (<year>2020</year>) <volume>57</volume>:<page-range>785&#x2013;98</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00592-020-01506-8</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wilkinson</surname> <given-names>CP</given-names>
</name>
<name>
<surname>Ferris</surname> <given-names>FL</given-names>
<suffix>3rd</suffix>
</name>
<name>
<surname>Klein</surname> <given-names>RE</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>PP</given-names>
</name>
<name>
<surname>Agardh</surname> <given-names>CD</given-names>
</name>
<name>
<surname>Davis</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales</article-title>. <source>Ophthalmology</source>. (<year>2003</year>) <volume>110</volume>:<page-range>1677&#x2013;82</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0161-6420(03)00475-5</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ormazabal</surname> <given-names>V</given-names>
</name>
<name>
<surname>Nair</surname> <given-names>S</given-names>
</name>
<name>
<surname>Elfeky</surname> <given-names>O</given-names>
</name>
<name>
<surname>Aguayo</surname> <given-names>C</given-names>
</name>
<name>
<surname>Salomon</surname> <given-names>C</given-names>
</name>
<name>
<surname>Zu&#xf1;iga</surname> <given-names>FA</given-names>
</name>
</person-group>. <article-title>Association between insulin resistance and the development of cardiovascular disease</article-title>. <source>Cardiovasc Diabetol</source>. (<year>2018</year>) <volume>17</volume>:<fpage>122</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12933-018-0762-4</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Eshaq</surname> <given-names>RS</given-names>
</name>
<name>
<surname>Aldalati</surname> <given-names>AMZ</given-names>
</name>
<name>
<surname>Alexander</surname> <given-names>JS</given-names>
</name>
<name>
<surname>Harris</surname> <given-names>NR</given-names>
</name>
</person-group>. <article-title>Diabetic retinopathy: Breaking the barrier</article-title>. <source>Pathophysiology</source>. (<year>2017</year>) <volume>24</volume>:<page-range>229&#x2013;41</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.pathophys.2017.07.001</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Lo</surname> <given-names>ACY</given-names>
</name>
</person-group>. <article-title>Diabetic retinopathy: pathophysiology and treatments</article-title>. <source>Int J Mol Sci</source>. (<year>2018</year>) <volume>19</volume>:<elocation-id>1816</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ijms19061816</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ulu</surname> <given-names>SM</given-names>
</name>
<name>
<surname>Dogan</surname> <given-names>M</given-names>
</name>
<name>
<surname>Ahsen</surname> <given-names>A</given-names>
</name>
<name>
<surname>Altug</surname> <given-names>A</given-names>
</name>
<name>
<surname>Demir</surname> <given-names>K</given-names>
</name>
<name>
<surname>Acart&#xfc;rk</surname> <given-names>G</given-names>
</name>
<etal/>
</person-group>. <article-title>Neutrophil-to-lymphocyte ratio as a quick and reliable predictive marker to diagnose the severity of diabetic retinopathy</article-title>. <source>Diabetes Technol Ther</source>. (<year>2013</year>) <volume>15</volume>:<page-range>942&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1089/dia.2013.0097</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yue</surname> <given-names>S</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Teng</surname> <given-names>W</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>L</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>L</given-names>
</name>
</person-group>. <article-title>Use of the monocyte-to-lymphocyte ratio to predict diabetic retinopathy</article-title>. <source>Int J Environ Res Public Health</source>. (<year>2015</year>) <volume>12</volume>:<page-range>10009&#x2013;19</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ijerph120810009</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ciray</surname> <given-names>H</given-names>
</name>
<name>
<surname>Aksoy</surname> <given-names>AH</given-names>
</name>
<name>
<surname>Ulu</surname> <given-names>N</given-names>
</name>
<name>
<surname>Cizmecioglu</surname> <given-names>A</given-names>
</name>
<name>
<surname>Gaipov</surname> <given-names>A</given-names>
</name>
<name>
<surname>Solak</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>Nephropathy, but not Angiographically Proven Retinopathy, is Associated with Neutrophil to Lymphocyte Ratio in Patients with Type 2 Diabetes</article-title>. <source>Exp Clin Endocrinol Diabetes</source>. (<year>2015</year>) <volume>123</volume>:<page-range>267&#x2013;71</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1055/s-00000017</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Khandare</surname> <given-names>SA</given-names>
</name>
<name>
<surname>Chittawar</surname> <given-names>S</given-names>
</name>
<name>
<surname>Nahar</surname> <given-names>N</given-names>
</name>
<name>
<surname>Dubey</surname> <given-names>TN</given-names>
</name>
<name>
<surname>Qureshi</surname> <given-names>Z</given-names>
</name>
</person-group>. <article-title>Study of neutrophil-lymphocyte ratio as novel marker for diabetic nephropathy in type 2 diabetes</article-title>. <source>Indian J Endocrinol Metab</source>. (<year>2017</year>) <volume>21</volume>:<page-range>387&#x2013;92</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.4103/ijem.IJEM_476_16</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>J</given-names>
</name>
<name>
<surname>Li</surname> <given-names>T</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>W</given-names>
</name>
<name>
<surname>Mu</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>Neutrophil-lymphocyte ratio as a predictor of kidney function decline among individuals with diabetes and prediabetes: A 3-year follow-up study</article-title>. <source>J Diabetes</source>. (<year>2019</year>) <volume>11</volume>:<page-range>427&#x2013;30</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/1753-0407.12903</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<collab>KDOQI</collab>
</person-group>. <article-title>KDOQI clinical practice guidelines and clinical practice recommendations for diabetes and chronic kidney disease</article-title>. <source>Am J Kidney Dis</source>. (<year>2007</year>) <volume>49</volume>:<fpage>S12</fpage>&#x2013;<lpage>S154</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1053/j.ajkd.2006.12.005</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>X</given-names>
</name>
<name>
<surname>Tan</surname> <given-names>TE</given-names>
</name>
<name>
<surname>Wong</surname> <given-names>TY</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>X</given-names>
</name>
</person-group>. <article-title>Diabetic retinopathy in China: Epidemiology, screening and treatment trends-A review</article-title>. <source>Clin Exp Ophthalmol</source>. (<year>2023</year>) <volume>51</volume>:<page-range>607&#x2013;26</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/ceo.14269</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hou</surname> <given-names>X</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>D</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>L</given-names>
</name>
<name>
<surname>Weng</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Prevalence of diabetic retinopathy and vision-threatening diabetic retinopathy in adults with diabetes in China</article-title>. <source>Nat Commun</source>. (<year>2023</year>) <volume>14</volume>:<fpage>4296</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41467-023-39864-w</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>