Literature DB >> 23368427

Verification of multimarkers for detection of early stage diabetic retinopathy using multiple reaction monitoring.

Kyunggon Kim1, Sang Jin Kim, Dohyun Han, Jonghwa Jin, Jiyoung Yu, Kyong Soo Park, Hyeong Gon Yu, Youngsoo Kim.   

Abstract

Diabetic retinopathy (DR) is a complication of diabetes and 80% of diabetes mellitus (DM) patients whose DM duration is over 10 years can be expected to suffer with DR. The diagnosis of DR depends on an ophthalmological examination, and no molecular methods of screening DR status exist. Nonproliferative diabetic retinopathy (NPDR) is the early DR which is hard to be noticed in early NPDR, showing significant cause of adult blindness in type 2 diabetes patients. Protein biomarkers have been valuable in the diagnosis of disease and the use of multiple biomarkers has been suggested to overcome the low specificity of single ones. For biomarker development, multiple reaction monitoring (MRM) has been spotlighted as an alternative method to quantify target proteins with no need for immunoassay. In this study, 54 candidate DR marker proteins from a previous study were verified by MRM in plasma samples from NPDR patients in 3 stages (mild, moderate and severe; 15 cases each) and diabetic patients without retinopathy (15 cases) as a control. Notably, 27 candidate markers distinguished moderate NPDR from type 2 diabetic patients with no diabetic retinopathy, generating AUC values (>0.7). Specifically, 28 candidate proteins underwent changes in expression as type 2 diabetic patients with no diabetic retinopathy progressed to mild and moderate NPDR. Further, a combination of 4 markers from these 28 candidates had the improved specificity in distinguishing moderate NPDR from type 2 diabetic patients with no diabetic retinopathy, yielding a merged AUC value of nearly 1.0. We concluded that MRM is a fast, robust approach of multimarker panel determination and an assay platform that provides improved specificity compared with single biomarker assay systems.

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Year:  2013        PMID: 23368427     DOI: 10.1021/pr3012073

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  8 in total

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Journal:  World J Gastrointest Pathophysiol       Date:  2016-02-15

Review 2.  The Vitreous Ecosystem in Diabetic Retinopathy: Insight into the Patho-Mechanisms of Disease.

Authors:  Siva S R Iyer; Mollie K Lagrew; Stephanie M Tillit; Ramak Roohipourmoallai; Samuel Korntner
Journal:  Int J Mol Sci       Date:  2021-07-01       Impact factor: 5.923

3.  Comprehensive maternal serum proteomics identifies the cytoskeletal proteins as non-invasive biomarkers in prenatal diagnosis of congenital heart defects.

Authors:  Lizhu Chen; Hui Gu; Jun Li; Ze-Yu Yang; Xiao Sun; Li Zhang; Liping Shan; Lina Wu; Xiaowei Wei; Yili Zhao; Wei Ma; Henan Zhang; Songying Cao; Tianchu Huang; Jianing Miao; Zhengwei Yuan
Journal:  Sci Rep       Date:  2016-01-11       Impact factor: 4.379

Review 4.  A Review: Proteomics in Retinal Artery Occlusion, Retinal Vein Occlusion, Diabetic Retinopathy and Acquired Macular Disorders.

Authors:  Lasse Jørgensen Cehofski; Bent Honoré; Henrik Vorum
Journal:  Int J Mol Sci       Date:  2017-04-28       Impact factor: 5.923

Review 5.  Proteomic Biomarkers of Retinal Inflammation in Diabetic Retinopathy.

Authors:  Hannah Youngblood; Rebekah Robinson; Ashok Sharma; Shruti Sharma
Journal:  Int J Mol Sci       Date:  2019-09-25       Impact factor: 5.923

6.  Multicenter Evaluation of Diagnostic Circulating Biomarkers to Detect Sight-Threatening Diabetic Retinopathy.

Authors:  Sarega Gurudas; Karen Frudd; Jayapal Jeya Maheshwari; Yeddula Rebecca Revathy; Sobha Sivaprasad; Shruthi Mahalakshmi Ramanathan; Vignesh Pooleeswaran; A Toby Prevost; Eleni Karatsai; Sandra Halim; Shruti Chandra; Paul Nderitu; Dolores Conroy; Subramanian Krishnakumar; Sowmya Parameswaran; Kuppamuthu Dharmalingam; Kim Ramasamy; Rajiv Raman; Colin Jones; Haralabos Eleftheriadis; John Greenwood; Patric Turowski
Journal:  JAMA Ophthalmol       Date:  2022-06-01       Impact factor: 8.253

Review 7.  Molecular Markers of Diabetic Retinopathy: Potential Screening Tool of the Future?

Authors:  Priyia Pusparajah; Learn-Han Lee; Khalid Abdul Kadir
Journal:  Front Physiol       Date:  2016-06-01       Impact factor: 4.566

8.  Development of Diagnostic Biomarkers for Detecting Diabetic Retinopathy at Early Stages Using Quantitative Proteomics.

Authors:  Jonghwa Jin; Hophil Min; Sang Jin Kim; Sohee Oh; Kyunggon Kim; Hyeong Gon Yu; Taesung Park; Youngsoo Kim
Journal:  J Diabetes Res       Date:  2015-11-09       Impact factor: 4.011

  8 in total

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