Differential Ophthalmological Profile in Patients with Coronary Artery Disease Coexisting with Type 2 Diabetes Mellitus: Elevated Tear Cytokine Concentrations

<b>Background/Objectives</b>: Coronary artery disease (CAD) and type-2 diabetes mellitus (T2DM) are characterized by chronic low-grade inflammation. However, measuring cytokines typically involves invasive blood sampling, which can be problematic for CAD patients. This study aimed to assess ophthalmological parameters and tear cytokines in patients with CAD, comparing those with comorbid T2DM to those without to understand their inflammatory profiles. <b>Methods</b>: One hundred subjects with suspected chronic or acute CAD were initially included in this single-center cross-sectional study after clinical stabilization. Seventy-two patients with confirmed CAD were divided into two groups: 32 patients with T2DM and 40 patients without T2DM. A total of 144 eyes were examined, and tear fluid samples were collected to determine cytokine concentrations. Ophthalmological parameters and tear concentrations of cytokines were analyzed, controlling for age, sex, and other cardiovascular risk factors. <b>Results</b>: Patients with CAD and T2DM exhibited decreased ophthalmological parameters and increased cytokine concentrations in comparison to those without T2DM. Significant inverse correlations between ophthalmological parameters and cytokine concentrations were observed. Following adjustment, a full logistic regression model for distinguishing patients with CAD and comorbid T2DM included macular cube volume, mean macular thickness, interleukin (IL)-4, IL-5, IL-6, IL-8, IL-9, IL-13, granulocyte colony-stimulating factor (G-CSF), CCL3, CCL4, and CCL11/eotaxin-1, demonstrating excellent discriminatory power (Area Under the Curve = 0.95, 95% Confidence Interval = 0.91-0.99; <i>p</i> < 0.001). Subsequently, IL-5 (Odds Ratio = 1.68, 95% CI = 1.26-2.24; <i>p</i> < 0.001), G-CSF (OR = 1.06, 95% CI = 1.02-1.11; <i>p</i> < 0.01), and CCL11/eotaxin-1 (OR = 1.56, 95% CI = 1.19-2.05; <i>p</i> = 0.001) emerged as the most distinguishing variables in a reduced model (AUC = 0.89, 95% CI = 0.84-0.95; <i>p</i> < 0.001). <b>Conclusions</b>: Differences in ophthalmological variables, mainly in cytokine concentrations, suggest distinct pathophysiological mechanisms in patients with CAD based on the presence of T2DM. These findings demonstrate that the inflammatory profile can be readily detected through tear sample cytokines, proving valuable for establishing more accurate prognoses and monitoring in cardiometabolic disorders.

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Journal
Journal of Clinical Medicine
Published
2024-08-20
DOI
https://doi.org/10.3390/jcm13164906
Citations
4
Primary Topic
Advanced Glycation End Products research
Type
article
Field-Weighted Citation Impact
1.52

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article

Differential Ophthalmological Profile in Patients with Coronary Artery Disease Coexisting with Type 2 Diabetes Mellitus: Elevated Tear Cytokine Concentrations

Vicente Bodı́, Rafael Jiménez-López, Maria J. Sanchez‐Quintero, Miguel Romero‐Cuevas et al.
4 citations
Journal of Clinical Medicine
Advanced Glycation End Products research
1.52
article

Differential Ophthalmological Profile in Patients with Coronary Artery Disease Coexisting with Type 2 Diabetes Mellitus: Elevated Tear Cytokine Concentrations

Vicente Bodı́, Rafael Jiménez-López, Maria J. Sanchez‐Quintero, Miguel Romero‐Cuevas, Ana Isabel Molina-Ramos, Mora Murri, Mario Gutiérrez‐Bedmar, Lourdes Fernández-Romero, Laura Martín-Chaves, José Lorenzo Romero-Trevejo, Francesco Costa, Francisco Javier Pavón, Manuel F. Jiménez‐Navarro, Jorge Rodríguez‐Capitán
article en
4 citations

Abstract

<b>Background/Objectives</b>: Coronary artery disease (CAD) and type-2 diabetes mellitus (T2DM) are characterized by chronic low-grade inflammation. However, measuring cytokines typically involves invasive blood sampling, which can be problematic for CAD patients. This study aimed to assess ophthalmological parameters and tear cytokines in patients with CAD, comparing those with comorbid T2DM to those without to understand their inflammatory profiles. <b>Methods</b>: One hundred subjects with suspected chronic or acute CAD were initially included in this single-center cross-sectional study after clinical stabilization. Seventy-two patients with confirmed CAD were divided into two groups: 32 patients with T2DM and 40 patients without T2DM. A total of 144 eyes were examined, and tear fluid samples were collected to determine cytokine concentrations. Ophthalmological parameters and tear concentrations of cytokines were analyzed, controlling for age, sex, and other cardiovascular risk factors. <b>Results</b>: Patients with CAD and T2DM exhibited decreased ophthalmological parameters and increased cytokine concentrations in comparison to those without T2DM. Significant inverse correlations between ophthalmological parameters and cytokine concentrations were observed. Following adjustment, a full logistic regression model for distinguishing patients with CAD and comorbid T2DM included macular cube volume, mean macular thickness, interleukin (IL)-4, IL-5, IL-6, IL-8, IL-9, IL-13, granulocyte colony-stimulating factor (G-CSF), CCL3, CCL4, and CCL11/eotaxin-1, demonstrating excellent discriminatory power (Area Under the Curve = 0.95, 95% Confidence Interval = 0.91-0.99; <i>p</i> < 0.001). Subsequently, IL-5 (Odds Ratio = 1.68, 95% CI = 1.26-2.24; <i>p</i> < 0.001), G-CSF (OR = 1.06, 95% CI = 1.02-1.11; <i>p</i> < 0.01), and CCL11/eotaxin-1 (OR = 1.56, 95% CI = 1.19-2.05; <i>p</i> = 0.001) emerged as the most distinguishing variables in a reduced model (AUC = 0.89, 95% CI = 0.84-0.95; <i>p</i> < 0.001). <b>Conclusions</b>: Differences in ophthalmological variables, mainly in cytokine concentrations, suggest distinct pathophysiological mechanisms in patients with CAD based on the presence of T2DM. These findings demonstrate that the inflammatory profile can be readily detected through tear sample cytokines, proving valuable for establishing more accurate prognoses and monitoring in cardiometabolic disorders.

Journal of Clinical MedicineVol. 13(16)
University of Messina (IT), Universitat de València (ES), Instituto de Salud Carlos III (ES), Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (ES), Centro de Investigación en Red en Enfermedades Cardiovasculares (ES), Centro de Investigación Biomédica en Red (ES), Hospital Clínico Universitario Virgen de la Victoria (ES), INCLIVA Health Research Institute (ES), Instituto de Investigación Biomédica de Málaga (ES), Universidad de Málaga (ES)
Universidad de Málaga, European Commission, Victoria University, Junta de Andalucía, Instituto de Salud Carlos III, European Regional Development Fund, European Social Fund
Good health and well-being
Openalex Percentile: Top 18%
Advanced Glycation End Products research
1.52
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