Literature DB >> 28118284

INCREASED SERUM LEVELS OF UREA AND CREATININE ARE SURROGATE MARKERS FOR DISRUPTION OF RETINAL PHOTORECEPTOR EXTERNAL LIMITING MEMBRANE AND INNER SEGMENT ELLIPSOID ZONE IN TYPE 2 DIABETES MELLITUS.

Sandeep Saxena1, Surabhi Ruia, Senthamizh Prasad, Astha Jain, Nibha Mishra, Shankar M Natu, Carsten H Meyer, Jagjit S Gilhotra, Peter Kruzliak, Levent Akduman.   

Abstract

PURPOSE: To evaluate the role of serum urea and creatinine as surrogate markers for disruption of retinal photoreceptor external limiting membrane (ELM) and inner segment ellipsoid zone (EZ) in Type 2 diabetic retinopathy (DR) using spectral-domain optical coherence tomography, for the first time.
METHODS: One hundred and seventeen consecutive cases of Type 2 diabetes mellitus (diabetes without retinopathy [No DR; n = 39], nonproliferative diabetic retinopathy [NPDR; n = 39], proliferative diabetic retinopathy [PDR; n = 39]) and 40 healthy control subjects were included. Serum levels of urea and creatinine were assessed using standard protocol. Spectral-domain optical coherence tomography was used to grade the disruption of ELM and EZ as follows: Grade 0, no disruption of ELM and EZ; Grade 1, ELM disrupted, EZ intact; Grade 2, ELM and EZ disrupted. Data were analyzed statistically.
RESULTS: Increase in serum levels of urea (F = 22.93) and creatinine (F = 15.82) and increased grades of disruption of ELM and EZ (γ = 116.3) were observed with increased severity of DR (P < 0.001). Increase in serum levels of urea (F = 10.45) and creatinine (F = 6.89) was observed with increased grades of disruption of ELM and EZ (P = 0.001).
CONCLUSION: Serum levels of urea and creatinine are surrogate markers for disruption of retinal photoreceptor ELM and EZ on spectral-domain optical coherence tomography in DR.

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Year:  2017        PMID: 28118284     DOI: 10.1097/IAE.0000000000001163

Source DB:  PubMed          Journal:  Retina        ISSN: 0275-004X            Impact factor:   4.256


  8 in total

1.  Dilated retinal large vessels and capillaries associated with diabetic macular edema and photoreceptor loss respectively.

Authors:  Jianqin Lei; Xiayu Xu; Li Chen; Xiaojuan Fan; Nizar Saleh Abdelfattah
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2021-01-08       Impact factor: 3.117

2.  Interleaved Optical Coherence Tomography: Clinical and Laboratory Biomarkers in Patients with Diabetic Macular Edema.

Authors:  Corina-Iuliana Suciu; Vlad-Ioan Suciu; Ancuţa Cuţaş; Simona Delia Nicoară
Journal:  J Pers Med       Date:  2022-05-09

3.  Multifocal electroretinogram in diabetic macular edema and its correlation with different optical coherence tomography features.

Authors:  Hassan Khojasteh; Hamid Riazi-Esfahani; Elias Khalili Pour; Hooshang Faghihi; Fariba Ghassemi; Fatemeh Bazvand; Raziyeh Mahmoudzadeh; Mirataollah Salabati; Masoud Mirghorbani; Mohammad Riazi Esfahani
Journal:  Int Ophthalmol       Date:  2019-11-11       Impact factor: 2.031

Review 4.  The potential of spectral domain optical coherence tomography imaging based retinal biomarkers.

Authors:  Prateep Phadikar; Sandeep Saxena; Surabhi Ruia; Timothy Y Y Lai; Carsten H Meyer; Dean Eliott
Journal:  Int J Retina Vitreous       Date:  2017-01-09

5.  Comparison of systemic conditions at diagnosis between central retinal vein occlusion and branch retinal vein occlusion.

Authors:  Bum-Joo Cho; So Hyun Bae; Sang Min Park; Min Chul Shin; In Won Park; Ha Kyoung Kim; Soonil Kwon
Journal:  PLoS One       Date:  2019-08-08       Impact factor: 3.240

6.  External limiting membrane: retinal structural barrier in diabetic macular edema.

Authors:  Sandeep Saxena; Levent Akduman; Carsten H Meyer
Journal:  Int J Retina Vitreous       Date:  2021-03-04

7.  Focus on external limiting membrane and ellipsoid zone in diabetic macular edema.

Authors:  Sandeep Saxena; SriniVas R Sadda
Journal:  Indian J Ophthalmol       Date:  2021-11       Impact factor: 1.848

8.  Automatic quantification of retinal photoreceptor integrity to predict persistent disease activity in neovascular age-related macular degeneration using deep learning.

Authors:  Xian Song; Qian Xu; Haiming Li; Qian Fan; Yefeng Zheng; Qiang Zhang; Chunyan Chu; Zhicheng Zhang; Chenglang Yuan; Munan Ning; Cheng Bian; Kai Ma; Yi Qu
Journal:  Front Neurosci       Date:  2022-08-18       Impact factor: 5.152

  8 in total

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