Prevalence of Diabetic Retinopathy Among Patients With Diabetes and Its Correlation With Inflammatory Marker Levels in Tear Fluid

Background Diabetic retinopathy (DR) is a leading microvascular complication of diabetes mellitus (DM) and a primary cause of vision loss worldwide. Markers such as NF-κB, TNF-α, and IL-6 have been proposed as potential early indicators on the basis of Inflammation playing a critical role in DR pathogenesis. This study aimed to determine the prevalence of DR among asymptomatic diabetic patients and evaluate correlations between tear fluid inflammatory markers and DR severity. Methods A cross-sectional observational study was conducted over two months at a tertiary care hospital in Kerala, India. Although an initial target of 120 participants was set, logistical and technical challenges in tear sample isolation limited recruitment to 50 asymptomatic diabetic patients. Fundus images were captured using a non-mydriatic handheld fundoscopy device with artificial intelligence (AI)-assisted grading of DR. Tear fluid samples, collected using Schirmer paper, were analysed for nuclear factor kappa B (NF-κB), tumor necrosis factor alpha (NF-α), and interleukin-6 (IL-6) via reverse transcription polymerase chain reaction (RT-PCR). Patient demographics, diabetes duration, comorbidities, and treatment history were documented. Associations between the presence of DR, clinical variables, and tear marker levels were analysed. Results DR was detected in 38% of participants, predominantly among patients aged >60 years and with longer diabetes duration. Insulin use and disease duration were significantly associated with DR, while age, gender, and oral antidiabetic use were not. Tear fluid inflammatory markers did not show a significant correlation with DR status. NF-κB was undetectable, and TNF-α and IL-6 levels were inconsistently elevated in DR-positive patients. Methodological factors, including tear sample over-dilution in 2 mL universal transport medium (UTM) and ocular surface conditions, likely contributed to these findings. Conclusion DR prevalence among asymptomatic diabetic patients is high, underscoring the importance of routine retinal screening. Non-mydriatic AI-assisted fundus imaging is an effective and practical tool for early detection. Tear fluid inflammatory markers, as measured in this study, were not predictive of DR, likely due to sample collection and amplification limitations. Future studies optimizing tear collection and RNA stabilization may establish reliable non-invasive biomarker-based screening, enabling earlier intervention and reducing vision-related morbidity in high-risk populations.

Authors

Institutions

Publication Details

Journal
Cureus
Published
2025-11-12
DOI
https://doi.org/10.7759/cureus.96692
Primary Topic
Ocular Surface and Contact Lens
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prevalence of Diabetic Retinopathy Among Patients With Diabetes and Its Correlation With Inflammatory Marker Levels in Tear Fluid

Pradeoth Mukundan Korambayil, Prashanth Varkey Ambookan, Austin Joju Akkara, Neha Shibu Elenjickal
Cureus
Ocular Surface and Contact Lens
article

Prevalence of Diabetic Retinopathy Among Patients With Diabetes and Its Correlation With Inflammatory Marker Levels in Tear Fluid

Pradeoth Mukundan Korambayil, Prashanth Varkey Ambookan, Austin Joju Akkara, Neha Shibu Elenjickal
article en

Abstract

Background Diabetic retinopathy (DR) is a leading microvascular complication of diabetes mellitus (DM) and a primary cause of vision loss worldwide. Markers such as NF-κB, TNF-α, and IL-6 have been proposed as potential early indicators on the basis of Inflammation playing a critical role in DR pathogenesis. This study aimed to determine the prevalence of DR among asymptomatic diabetic patients and evaluate correlations between tear fluid inflammatory markers and DR severity. Methods A cross-sectional observational study was conducted over two months at a tertiary care hospital in Kerala, India. Although an initial target of 120 participants was set, logistical and technical challenges in tear sample isolation limited recruitment to 50 asymptomatic diabetic patients. Fundus images were captured using a non-mydriatic handheld fundoscopy device with artificial intelligence (AI)-assisted grading of DR. Tear fluid samples, collected using Schirmer paper, were analysed for nuclear factor kappa B (NF-κB), tumor necrosis factor alpha (NF-α), and interleukin-6 (IL-6) via reverse transcription polymerase chain reaction (RT-PCR). Patient demographics, diabetes duration, comorbidities, and treatment history were documented. Associations between the presence of DR, clinical variables, and tear marker levels were analysed. Results DR was detected in 38% of participants, predominantly among patients aged >60 years and with longer diabetes duration. Insulin use and disease duration were significantly associated with DR, while age, gender, and oral antidiabetic use were not. Tear fluid inflammatory markers did not show a significant correlation with DR status. NF-κB was undetectable, and TNF-α and IL-6 levels were inconsistently elevated in DR-positive patients. Methodological factors, including tear sample over-dilution in 2 mL universal transport medium (UTM) and ocular surface conditions, likely contributed to these findings. Conclusion DR prevalence among asymptomatic diabetic patients is high, underscoring the importance of routine retinal screening. Non-mydriatic AI-assisted fundus imaging is an effective and practical tool for early detection. Tear fluid inflammatory markers, as measured in this study, were not predictive of DR, likely due to sample collection and amplification limitations. Future studies optimizing tear collection and RNA stabilization may establish reliable non-invasive biomarker-based screening, enabling earlier intervention and reducing vision-related morbidity in high-risk populations.

CureusVol. 17(11)
University of Ulster (GB), Jubilee Mission Medical College and Research Institute (IN), Altnagelvin Area Hospital (GB), Io Therapeutics (United States) (US)
Openalex Percentile: Top 56%
Ocular Surface and Contact Lens
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.