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Title

Linking diabetic retinopathy with lipid abnormalities

 

Authors

Yasha Bandil1, Pankaj Kumar Gupta2, Rakesh Manglani3, Rahul Soni4,* & Sachin Parmar5

 

Affiliation

1Department of Ophthalmology, BirsaMunda Government Medical College Shahdol, Madhya Pradesh, India; 2Department of General Medicine, BirsaMunda Government Medical College Shahdol, Madhya Pradesh, India; 3Department of Biochemistry, BirsaMunda Government Medical College, Shahdol, Madhya Pradesh,India; 4Department of Pulmonary Medicine, BirsaMunda Government Medical College Shahdol, Madhya Pradesh,India; 5Department of Community Medicine, V.K.S. Government Medical College, Neemuch, Madhya Pradesh, India; *Corresponding author

 

Email

Yasha Bandil - E-mail: yashabandil@gmail.com
Pankaj Kumar Gupta - E-mail: dr.pankajgupta89@gmail.com
Rakesh Manglani - E-mail: manglanirockey@gmail.com
Rahul Soni - E-mail: Rssonirahul@gmail.com
Sachin Parmar - E-mail: dr.sachinparmar@gmail.com

 

Article Type

Research Article

 

Date

Received January 1, 2026; Revised January 31, 2026; Accepted January 31, 2026, Published January 31, 2026

 

Abstract

Diabetic retinopathy (DR) is a leading cause of preventable blindness in diabetes mellitus.Therefore, it is of interest to investigate the association between dyslipidemia and DR in 100 patients, divided into 50 with DR and 50 without DR. Lipid Abnormalities was found in 57% of participants, with a higher prevalence of DR in those with Lipid Abnormalities (35/57). The study also identified that the duration of diabetes significantly influenced DR development.Thus, a strong association between Lipid Abnormalities and DR, warranting further research on lipid-lowering interventions to prevent DR.

 

Keywords

Diabetic retinopathy, dyslipidemia, Type 2 diabetes mellitus

 

Citation

Bandil et al. Bioinformation 22(1): 128-131 (2026)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.