| Literature DB >> 35155457 |
Bruno Nobre Lins Coronado1,2, Felipe Bruno Santos da Cunha3, Raphaela Menezes de Oliveira4, Otávio de Toledo Nóbrega1, Carlos André Ornelas Ricart4, Wagner Fontes4, Marcelo Valle de Sousa4, Marcos Pereira de Ávila5, Aline Maria Araújo Martins1,3.
Abstract
Age-related macular degeneration (AMD) is among the world's leading causes of blindness. In its neovascular form (nAMD), around 25% of patients present further anatomical and visual deterioration due to persistence of neovascular activity, despite gold-standard treatment protocols using intravitreal anti-VEGF medications. Thus, to comprehend, the molecular pathways that drive choroidal neoangiogenesis, associated with the vascular endothelial growth factor (VEGF), are important steps to elucidate the mechanistic events underneath the disease development. This is a pilot study, a prospective, translational experiment, in a real-life context aiming to evaluate the protein profiles of the aqueous humor of 15 patients divided into three groups: group 1, composed of patients with nAMD, who demonstrated a good response to anti-VEGF intravitreal injections during follow-up (good responsive); group 2, composed of patients with anti-VEGF-resistant nAMD, who demonstrated choroidal neovascularization activity during follow-up (poor/non-responsive); and group 3, composed of control patients without systemic diseases or signs of retinopathy. For proteomic characterization of the groups, mass spectrometry (label-free LC-MS/MS) was used. A total of 2,336 proteins were identified, of which 185 were distinctly regulated and allowed the differentiation of the clinical conditions analyzed. Among those, 39 proteins, including some novel ones, were analyzed as potential disease effectors through their pathophysiological implications in lipid metabolism, oxidative stress, complement system, inflammatory pathways, and angiogenesis. So, this study suggests the participation of other promising biomarkers in neovascular AMD, in addition to the known VEGF.Entities:
Keywords: AMD (age-related macular degeneration); biomarkers; choroidal neo vascularization; mass spectrometry (MS); proteomics; resistance
Year: 2022 PMID: 35155457 PMCID: PMC8828634 DOI: 10.3389/fmed.2021.692272
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Figure 1Flowchart of patient recruitment and exclusion for aqueous humor proteome analysis. The 15 patients selected were separated into three groups: (A) good response to anti-VEGF therapy (nAMD good responsive); (B) resistance to anti-VEGF therapy (nAMD poor/non-responsive); (C) control patients without systemic diseases or signs of retinopathy.
Figure 2Patient's OCT. (A) good responsive group; (B) poor/non-responsive group; (C) control group.
Clinical date of the groups of patients enrolled in the study.
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| Age (yr) | 72.8 ± 11.9 | 81.4 ± 4.3 | 73.0 ± 6.9 | 0.24 |
| Sex | Female: 60%(3/5) Male: 40% (2/5) | Female: 80% (4/5) | Female: 60% (3/5) Male: 40% (2/5) | 0.74‡ |
| Race | White: 80% (4/5) Other: 20% (1/5) | White: 60% (3/5) | White: 60% (3/5) Other: 40% (2/5) | 0.74‡ |
| Central Retinal Thickness (CRT), μm | 349.8 ± 99.2 | 334.6 ± 94.2 | 289 ± 6.7 | 0.58 |
| Visual-acuity Decimal notation and Snellen equivalent (R: right/L: left) | 0.20 ± 0.18 | 0.30 ± 0.22 | 0.20 ± 0.19 | 0.53 |
Response to anti-VEGF injections in nAMD patients.
ANOVA.
Chi-square.
Figure 3Hierarchic cluster analyses (HCA) of global protein profiles. Each line represents a protein and each peak or valley, its abundance per patient. Proteins in (A) have a predominance of positive regulation in cases of good responsive nAMD and poor/non-responsive nAMD with the predominance of negative regulation in controls. In (B), the opposite relationship is observed.
Selected discriminant proteins by metabolic function related to the pathophysiology of AMD.
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| Alpha-crystallin B chain (CRYAB) | - structural constituent of eye lens | |||
| tblbreak - visual perception | Control |
| 0.0004 | |
| Beta-crystallin A4 | - visual perception | Control |
| 0.00001 |
| Beta-crystallin B1 | - visual perception | Control |
| 0.0000002 |
| Beta-crystallin B2 | - visual perception | Control |
| 0.0001 |
| Crystallin, beta B3, isoform CRA_a | - visual perception | Control |
| 0.01 |
| Gamma-crystallin C | - visual perception | Control | Poor/Non-Responsive | 0.0003 |
| Interphotoreceptor matrix proteoglycan 1 | - visual perception |
| Control | 0.0002 |
| Retinol-binding protein 4 | - visual perception |
| Control | 0.01 |
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| Apolipoprotein A-I, isoformCRA_a | - amyloid-beta binding | Poor/Non-Responsive | Control | 0.0004 |
| Apolipoprotein A-IV | - antioxidant activity | Poor/Non-Responsive | Control | 0.0001 |
| Phosphoinositide phospholipase C | - lipid catabolic process | Poor/Non-Responsive | Control | 0.01 |
| Retinol-binding protein 3 | - retinal binding | Poor/Non-Responsive | Control | 0.002 |
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| Amyloid-likeprotein 1 | - heparin binding |
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| 0.02 |
| Catalase | - cellular response to oxidative stress |
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| 0.0004 |
| Enolase 1 | - autoimmune stimulation | Control | Poor/Non-Responsive | 0.003 |
| Glutathione peroxidase | - glutathione peroxidase activity | Poor/Non-Responsive |
| 0.03 |
| Lipocalin 1 (Tear prealbumin), isoformCRA_a | - small molecule binding |
| Poor/Non-Responsive | 0.02 |
| Extracellular superoxide dismutase [Cu-Zn] | - cellular response to oxidative stress | Poor/Non-Responsive |
| 0.001 |
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| Immunoglobulin heavy constant mu | - adaptive immune response |
| Poor/Non-Responsive | 0.01 |
| CFB | - complement activation | Control | Poor/Non-Responsive | 0.04 |
| Clusterin | - inflammatory response | Poor/Non-Responsive | Control | 0.0009 |
| Complement C2 | - complement activation | Poor/Non-Responsive | Control | 0.03 |
| Complement C3 | - complement activation | Poor/Non-Responsive | Control | 0.0002 |
| Complement C4-A | - complement activation | Poor/Non-Responsive | Control | 0.0002 |
| Complement C7 | - complement activation | Poor/Non-Responsive | Control | 0.0004 |
| Complement component C8 alpha chain | - complement activation |
| Control | 0.01 |
| Complement factor H-related protein 1 | - complement activation - regulation of complement activation |
| Control | 0.004 |
| Vitronectin | - regulation of complement activation | Poor/Non-Responsive | Control | 0.00001 |
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| Monocyte differentiation antigen CD14 | - inflammatory response - innate immune response | Poor/Non-Responsive | Control | 0.0003 |
| Immunoglobulin heavy constant mu | - adaptive immune response |
| Poor/Non-Responsive | 0.01 |
| Plasma kallikrein | - serine-type endopeptidase activity | Poor/Non-Responsive |
| 0.03 |
| Clusterin | - inflammatory response | Poor/Non-Responsive | Control | 0.0009 |
| Enolase 1 | - autoimmune stimulation | Control | Poor/Non-Responsive | 0.003 |
| Pigment epithelium-derived factor | - negative regulation of angiogenesis |
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| 0.03 |
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| Ectonucleotide pyrophosphatase /phosphodiesterase family | - regulation of angiogenesis |
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| 0.003 |
| Insulin-like growth factor-bindingprotein 7 | - regulation of angiogenesis |
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| 0.0006 |
| Insulin-like growth factor binding protein 4, isoformCRA_a | - insulin-like growth factor binding |
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| 0.0007 |
| Pigment epithelium-derived factor | - negative regulation of angiogenesis |
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| 0.03 |
| Tissue inhibitor of metalloproteinase 1 | - regulation of angiogenesis | Poor/Non-Responsive |
| 0.002 |
| Metallothionein-1G | - cellular response to stimulation of vascular endothelial growth factor |
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| 0.001 |
| Vascular endothelial growth factor receptor 1 | - ATP binding | Poor/Non-Responsive |
| 0.004 |
| Kinase insert domain receptor (A type III receptortyrosinekinase), isoform CRA_a | - regulation of angiogenesis | Poor/Non-Responsive |
| 0.03 |
| Vitronectin | - regulation of complement activation | Poor/Non-Responsive | Control | 0.00001 |
| Ubiquitin carboxyl-terminal hydrolase | - response to ischemia | Control |
| 0.01 |
Observation: Response to anti-VEGF injections in nAMD patients. Thirty-nine proteins correlated with visual function or with meta-bolic pathways directly/indirectly linked to choroidal neoangiogenesis. The redundancy of some proteins is due to the characteristic in which some of these effectors display in multiple cellular functions.
Figure 4Differentially expressed proteins converge on main pathways by biological processes. The links between proteins represent interactions, according to the pattern of the String program (protein-protein interaction network enriched with functional analysis). ENPP2, ectonucleotide pyrophosphatase/ phosphodiesterase family member 2; KDR, kinase insert domain receptor (A type III receptor tyrosine kinase), isoform CRA_a; IGFBP7, insulin-like growth factor-binding protein 7; IGFBP5, insulin-like growth factor-binding protein 5; CFHR1, complement factor H-related protein 1; C4A, complement C4-A; APOA1, apolipoprotein A-I, isoform CRA_a; VTNC, vitronectin; C3, tetranectin; C8A, complement component C8 alpha-chain; APOA4, apolipoprotein A-IV; RBP4, retinol-binding protein 4; SERPINF1, pigment epithelium-derived factor; LCN1, lipocalin 1 (tear prealbumin), isoform CRA_a; C7, complement component C7; APCP1, amyloid-like protein 1; CRYBB2, beta-crystallin B2; IMPG1, interphotoreceptor matrix proteoglycan 1; CRYBB1, beta-crystallin B1; UCHL1, ubiquitin carboxy-terminal hydrolase; KLKB1, plasma kallikrein; RBP3, retinol-binding protein 3; CAT, cathepsin D; MT1G, metallothionein 1G; SOD3, extracellular superoxide dismutase [Cu-Zn]; ENO1, enolase 1 (alpha), isoform CRA_a.
Figure 5Multivariate analyses by VIP scores of regulated proteins in aqueous humor of patients with good responsive nAMD, poor/non-responsive nAMD, and control patients (PLS-DA imp. features). Among the 30 regulated proteins with the highest VIP score, 25 have negative regulation in pathological scenarios. The colored boxes on the right indicate the relative intensity of each protein in the respective scenarios.