Literature DB >> 27373871

Diabetic retinopathy: Proteomic approaches to help the differential diagnosis and to understand the underlying molecular mechanisms.

Éva Csősz1, Eszter Deák2, Gergő Kalló1, Adrienne Csutak3, József Tőzsér4.   

Abstract

Diabetic retinopathy is the most common diabetic eye disease and a leading cause of blindness among patients with diabetes. The appearance and the severity of the symptoms correlate with the duration of diabetes and poor blood glucose level management. Diabetic retinopathy is also categorized as a chronic low-level inflammatory disease; the high blood glucose level promotes the accumulation of the advanced glycation end products and leads to the stimulation of monocytes and macrophages. Examination of protein level alterations in tears using state-of the art proteomics techniques have identified several proteins as possible biomarkers for the different stages of the diabetic retinopathy. Some of the differentially expressed tear proteins have a role in the barrier function of tears linking the diabetic retinopathy with another eye complication of diabetes, namely the diabetic keratopathy resulting in impaired wound healing. Understanding the molecular events leading to the eye complications caused by hyperglycemia may help the identification of novel biomarkers as well as therapeutic targets in order to improve quality of life of diabetic patients. BIOLOGICAL SIGNIFICANCE: Diabetic retinopathy (DR), the leading cause of blindness among diabetic patients can develop without any serious symptoms therefore the early detection is crucial. Because of the increasing prevalence there is a high need for improved screening methods able to diagnose DR as soon as possible. The non-invasive collection and the relatively high protein concentration make the tear fluid a good source for biomarker discovery helping the early diagnosis. In this work we have reviewed the administration of advanced proteomics techniques used in tear biomarker studies and the identified biomarkers with potential to improve the already existing screening methods for DR detection.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diabetic retinopathy; Proteomic approaches; Quantitative mass spectrometry; Tear fluid biomarkers

Mesh:

Substances:

Year:  2016        PMID: 27373871     DOI: 10.1016/j.jprot.2016.06.034

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  12 in total

Review 1.  The impact of mass spectrometry application to screen new proteomics biomarkers in Ophthalmology.

Authors:  Bruno Nobre Lins Coronado; Felipe Bruno Santos da Cunha; Otávio de Toledo Nobrega; Aline Maria Araujo Martins
Journal:  Int Ophthalmol       Date:  2021-04-02       Impact factor: 2.031

2.  Putative Biomarkers in Tears for Diabetic Retinopathy Diagnosis.

Authors:  Madania Amorim; Beatriz Martins; Francisco Caramelo; Conceição Gonçalves; Grimalde Trindade; Jorge Simão; Patrícia Barreto; Inês Marques; Ermelindo Carreira Leal; Eugénia Carvalho; Flávio Reis; Teresa Ribeiro-Rodrigues; Henrique Girão; Paulo Rodrigues-Santos; Cláudia Farinha; António Francisco Ambrósio; Rufino Silva; Rosa Fernandes
Journal:  Front Med (Lausanne)       Date:  2022-05-25

3.  Metabolomic Analysis of Serum and Tear Samples from Patients with Obesity and Type 2 Diabetes Mellitus.

Authors:  Erdenetsetseg Nokhoijav; Andrea Guba; Ajneesh Kumar; Balázs Kunkli; Gergő Kalló; Miklós Káplár; Sándor Somodi; Ildikó Garai; Adrienne Csutak; Noémi Tóth; Miklós Emri; József Tőzsér; Éva Csősz
Journal:  Int J Mol Sci       Date:  2022-04-20       Impact factor: 6.208

4.  Differences in Vitreous Protein Profiles in Patients With Proliferative Diabetic Retinopathy Before and After Ranibizumab Treatment.

Authors:  Xinping She; Chen Zou; Zhi Zheng
Journal:  Front Med (Lausanne)       Date:  2022-05-27

5.  Mechanistic dissection of diabetic retinopathy using the protein-metabolite interactome.

Authors:  Ambrose Teru Patrick; Weilue He; Joshua Madu; Srinivas R Sripathi; Seulggie Choi; Kook Lee; Faith Pwaniyibo Samson; Folami L Powell; Manuela Bartoli; Donghyun Jee; Diana R Gutsaeva; Wan Jin Jahng
Journal:  J Diabetes Metab Disord       Date:  2020-06-18

6.  Quantitative proteomics analysis of vitreous body from type 2 diabetic patients with proliferative diabetic retinopathy.

Authors:  Jianqing Li; Qianyi Lu; Peirong Lu
Journal:  BMC Ophthalmol       Date:  2018-06-26       Impact factor: 2.209

Review 7.  Protein Biomarkers in Uveitis.

Authors:  Reema Bansal; Amod Gupta
Journal:  Front Immunol       Date:  2020-12-03       Impact factor: 7.561

8.  Detection of Antimicrobial Peptides in Stratum Corneum by Mass Spectrometry.

Authors:  Adrienn Jenei; Gergő Kalló; Zsolt Dajnoki; Krisztián Gáspár; Andrea Szegedi; Anikó Kapitány; Éva Csősz
Journal:  Int J Mol Sci       Date:  2021-04-19       Impact factor: 5.923

9.  Critical role of mass spectrometry proteomics in tear biomarker discovery for multifactorial ocular diseases (Review).

Authors:  Jessica Yuen Wuen Ma; Ying Hon Sze; Jing Fang Bian; Thomas Chuen Lam
Journal:  Int J Mol Med       Date:  2021-03-24       Impact factor: 4.101

Review 10.  Colorimetric and Electrochemical Screening for Early Detection of Diabetes Mellitus and Diabetic Retinopathy-Application of Sensor Arrays and Machine Learning.

Authors:  Georgina Faura; Gerard Boix-Lemonche; Anne Kristin Holmeide; Rasa Verkauskiene; Vallo Volke; Jelizaveta Sokolovska; Goran Petrovski
Journal:  Sensors (Basel)       Date:  2022-01-18       Impact factor: 3.576

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