» Articles » PMID: 20805569

C-reactive Protein, Body Mass Index, and Diabetic Retinopathy

Overview
Specialty Ophthalmology
Date 2010 Sep 1
PMID 20805569
Citations 60
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: C-reactive protein (CRP) is an inflammatory biomarker that may be associated with diabetic retinopathy (DR), but body mass index (BMI) is an important confounder of this relationship. The purpose of this study was to determine the relationship between CRP, BMI, and existing DR.

Methods: This was a population-based, cross-sectional study on 718 persons with diabetes in the Singapore Malay Eye Study (SiMES). Diabetes was defined as random glucose>or=11.1 mmol/L, on diabetic medication or a history of physician-diagnosed diabetes. CRP was measured in frozen plasma. DR was graded from retinal photographs.

Results: Higher CRP and BMI were associated with lower prevalence of DR. After adjustment for age, sex, HbA1c level, hypertension, smoking, total cholesterol level, cholesterol-lowering medication, and insulin use, persons with the highest quartiles of CRP were less likely to have any DR (odds ratio [OR] 0.5; 95% CI, 0.3-0.9, comparing the fourth with the first quartile of CRP), vision-threatening DR (OR 0.3; 95% CI, 0.1-0.7), or CSME (OR 0.2; 95% CI, 0.1-0.6). Similarly, persons with the highest quartiles of BMI were less likely to have any DR (OR 0.5; 95% CI, 0.3-0.7), moderate DR (OR 0.4; 95% CI, 0.2-0.7), vision-threatening DR (OR 0.4; 95% CI, 0.1-0.8) or CSME (OR 0.2; 95% CI, 0.0-1.0). No significant interactions between CRP and BMI on DR were seen.

Conclusions: Persons with diabetes who had higher levels of CRP and BMI were less likely to have DR. Further research is needed to understand the interrelationship role of inflammation, body weight, and microvascular complications.

Citing Articles

Association Between Hormone Levels and Retinopathy in Patients With Type 2 Diabetes: A Cross-Sectional Study.

Meng Y, Yang X, Fan Y, Liu M, Zhou F, Wang Q Transl Vis Sci Technol. 2025; 14(2):17.

PMID: 39937169 PMC: 11827861. DOI: 10.1167/tvst.14.2.17.


Predicting vision-threatening diabetic retinopathy in patients with type 2 diabetes mellitus: Systematic review, meta-analysis, and prospective validation study.

Liang Y, Zhang X, Mei W, Li Y, Du Z, Wang Y J Glob Health. 2024; 14:04192.

PMID: 39391902 PMC: 11467770. DOI: 10.7189/jogh.14.04192.


Association of urinary creatinine excretion and body mass index with diabetic retinopathy in patients with type 2 diabetes.

Chung J, Park S, Kim B, Cho D, Chung D, Chung M Sci Rep. 2024; 14(1):17175.

PMID: 39060447 PMC: 11282218. DOI: 10.1038/s41598-024-68220-1.


Imaging-based body fat distribution and diabetic retinopathy in general US population with diabetes: an NHANES analysis (2003-2006 and 2011-2018).

Li C, Zhang Y, Wang Y, Gu C, Li B, Ma M Nutr Diabetes. 2024; 14(1):53.

PMID: 39004614 PMC: 11247072. DOI: 10.1038/s41387-024-00308-z.


Association of systemic and demographic risk factors with prevalence of retinopathy in US adults with prediabetes.

Bynoe K, Wang J, Sachdeva M Eye (Lond). 2024; 38(16):3093-3100.

PMID: 39003432 PMC: 11544134. DOI: 10.1038/s41433-024-03227-6.