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Comparative proteomics of proliferative diabetic retinopathy in people with Type 2 diabetes highlights the role of inflammation, visual transduction, and extracellular matrix pathways

PURPOSE: To explore the vitreous humor proteome from type 2 diabetes subjects with proliferative diabetic retinopathy (PDR) in the Indian population. METHODS: We performed mass spectrometry-based label-free quantitative analysis of vitreous proteome of PDR (n = 13) and idiopathic macular hole (IMH;...

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Autores principales: Sen, Sagnik, Udaya, Prithviraj, Jeya Maheshwari, Jayapal, Kohli, Piyush, Parida, Haemoglobin, Kannan, Naresh Babu, Ramasamy, Kim, Dharmalingam, Kuppamuthu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10538831/
https://www.ncbi.nlm.nih.gov/pubmed/37530283
http://dx.doi.org/10.4103/IJO.IJO_276_23
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author Sen, Sagnik
Udaya, Prithviraj
Jeya Maheshwari, Jayapal
Kohli, Piyush
Parida, Haemoglobin
Kannan, Naresh Babu
Ramasamy, Kim
Dharmalingam, Kuppamuthu
author_facet Sen, Sagnik
Udaya, Prithviraj
Jeya Maheshwari, Jayapal
Kohli, Piyush
Parida, Haemoglobin
Kannan, Naresh Babu
Ramasamy, Kim
Dharmalingam, Kuppamuthu
author_sort Sen, Sagnik
collection PubMed
description PURPOSE: To explore the vitreous humor proteome from type 2 diabetes subjects with proliferative diabetic retinopathy (PDR) in the Indian population. METHODS: We performed mass spectrometry-based label-free quantitative analysis of vitreous proteome of PDR (n = 13) and idiopathic macular hole (IMH; control) subjects (n = 14). Nine samples of PDR and 10 samples of IMH were pooled as case and control, respectively, and compared. Four samples each of PDR and IMH were analyzed individually without pooling to validate the results of the pooled analysis. Comparative quantification was performed using Scaffold software which calculated the fold changes of differential expression. Bioinformatics analysis was performed using DAVID and STRING software. RESULTS: We identified 469 proteins in PDR and 517 proteins in IMH vitreous, with an overlap of 172 proteins. Also, 297 unique proteins were identified in PDR and 345 in IMH. In PDR vitreous, 37 proteins were upregulated (P < 0.05) and 19 proteins were downregulated compared to IMH. Protein distribution analysis clearly demonstrated a separation of protein expression in PDR and IMH. Significantly upregulated proteins included fibrinogen gamma chain, fibrinogen beta chain, and carbonic anhydrase 1 and downregulated proteins included alpha-1-antitrypsin, retinol-binding protein 3, neuroserpin, cystatin C, carboxypeptidase E and cathepsin-D. CONCLUSION: Diabetic retinopathy pathogenesis involves proteins which belong to inflammation, visual transduction, and extracellular matrix pathways. Validation-based experiments using enzyme-linked immunosorbent assay (ELISA) or western blotting are needed to establish cause and effect relationships of these proteins to the disease state, to develop them as biomarkers or drug molecules.
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spelling pubmed-105388312023-09-29 Comparative proteomics of proliferative diabetic retinopathy in people with Type 2 diabetes highlights the role of inflammation, visual transduction, and extracellular matrix pathways Sen, Sagnik Udaya, Prithviraj Jeya Maheshwari, Jayapal Kohli, Piyush Parida, Haemoglobin Kannan, Naresh Babu Ramasamy, Kim Dharmalingam, Kuppamuthu Indian J Ophthalmol Original Article PURPOSE: To explore the vitreous humor proteome from type 2 diabetes subjects with proliferative diabetic retinopathy (PDR) in the Indian population. METHODS: We performed mass spectrometry-based label-free quantitative analysis of vitreous proteome of PDR (n = 13) and idiopathic macular hole (IMH; control) subjects (n = 14). Nine samples of PDR and 10 samples of IMH were pooled as case and control, respectively, and compared. Four samples each of PDR and IMH were analyzed individually without pooling to validate the results of the pooled analysis. Comparative quantification was performed using Scaffold software which calculated the fold changes of differential expression. Bioinformatics analysis was performed using DAVID and STRING software. RESULTS: We identified 469 proteins in PDR and 517 proteins in IMH vitreous, with an overlap of 172 proteins. Also, 297 unique proteins were identified in PDR and 345 in IMH. In PDR vitreous, 37 proteins were upregulated (P < 0.05) and 19 proteins were downregulated compared to IMH. Protein distribution analysis clearly demonstrated a separation of protein expression in PDR and IMH. Significantly upregulated proteins included fibrinogen gamma chain, fibrinogen beta chain, and carbonic anhydrase 1 and downregulated proteins included alpha-1-antitrypsin, retinol-binding protein 3, neuroserpin, cystatin C, carboxypeptidase E and cathepsin-D. CONCLUSION: Diabetic retinopathy pathogenesis involves proteins which belong to inflammation, visual transduction, and extracellular matrix pathways. Validation-based experiments using enzyme-linked immunosorbent assay (ELISA) or western blotting are needed to establish cause and effect relationships of these proteins to the disease state, to develop them as biomarkers or drug molecules. Wolters Kluwer - Medknow 2023-08 2023-08-01 /pmc/articles/PMC10538831/ /pubmed/37530283 http://dx.doi.org/10.4103/IJO.IJO_276_23 Text en Copyright: © 2023 Indian Journal of Ophthalmology https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Sen, Sagnik
Udaya, Prithviraj
Jeya Maheshwari, Jayapal
Kohli, Piyush
Parida, Haemoglobin
Kannan, Naresh Babu
Ramasamy, Kim
Dharmalingam, Kuppamuthu
Comparative proteomics of proliferative diabetic retinopathy in people with Type 2 diabetes highlights the role of inflammation, visual transduction, and extracellular matrix pathways
title Comparative proteomics of proliferative diabetic retinopathy in people with Type 2 diabetes highlights the role of inflammation, visual transduction, and extracellular matrix pathways
title_full Comparative proteomics of proliferative diabetic retinopathy in people with Type 2 diabetes highlights the role of inflammation, visual transduction, and extracellular matrix pathways
title_fullStr Comparative proteomics of proliferative diabetic retinopathy in people with Type 2 diabetes highlights the role of inflammation, visual transduction, and extracellular matrix pathways
title_full_unstemmed Comparative proteomics of proliferative diabetic retinopathy in people with Type 2 diabetes highlights the role of inflammation, visual transduction, and extracellular matrix pathways
title_short Comparative proteomics of proliferative diabetic retinopathy in people with Type 2 diabetes highlights the role of inflammation, visual transduction, and extracellular matrix pathways
title_sort comparative proteomics of proliferative diabetic retinopathy in people with type 2 diabetes highlights the role of inflammation, visual transduction, and extracellular matrix pathways
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10538831/
https://www.ncbi.nlm.nih.gov/pubmed/37530283
http://dx.doi.org/10.4103/IJO.IJO_276_23
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