Proteomic analysis of aqueous humor reveals novel regulators of diabetic macular edema

被引:1
作者
Zhang, Yue [1 ,2 ,3 ]
Xu, Manhong [1 ,2 ]
He, Hongbo [1 ,2 ]
Ren, Shaojie [1 ,2 ]
Chen, Xin [1 ,2 ]
Zhang, Yan [1 ,2 ]
An, Jinying [1 ,2 ]
Ren, Xinjun [1 ,2 ]
Zhang, Xiaomin [1 ,2 ]
Zhang, Minglian [3 ]
Liu, Zhiqiang [3 ]
Li, Xiaorong [1 ,2 ]
机构
[1] Tianjin Med Univ, Eye Inst, Natl Clin Res Ctr Ocular Dis, Tianjin Key Lab Retinal Funct & Dis,Tianjin Branch, Tianjin, Peoples R China
[2] Tianjin Med Univ, Natl Clin Res Ctr Ocular Dis, Sch Optometry, Tianjin Key Lab Retinal Funct & Dis,Tianjin Branch, Tianjin, Peoples R China
[3] Hebei Prov Eye Hosp, Hebei Prov Eye Inst, Hebei Prov Key Lab Ophthalmol, Xingtai, Hebei, Peoples R China
基金
中国国家自然科学基金;
关键词
Diabetic macular edema; Proteomics; Aqueous humor; LC; -MS/MS; Haptoglobin; Fibrillin; 1; RETINOPATHY; PREVALENCE; IDENTIFICATION; PATHOGENESIS; INHIBITION; ACTIVATION; MANAGEMENT; RECEPTOR; PROTEIN; AGE;
D O I
10.1016/j.exer.2023.109724
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Diabetic macular edema (DME) is the most common cause of blindness in patients with diabetic retinopathy. To investigate the proteomic profiles of the aqueous humor (AH) of individuals with diabetic macular edema (DME), AH samples were collected from patients with non-diabetes mellitus (NDM), DM, nonproliferative diabetic retinopathy (NPDR), and DME. We performed comparative proteomic analyses using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and bioinformatics analyses. We identified 425 proteins in these AH samples, of which 113 showed changes in expression in DME compared with NDM, 95 showed changes in expression in DME vs. DM, and 84 showed changes in expression in DME compared with NPDR. The bioinfor-matics analysis suggested that DME is closely associated with platelet degranulation, oxidative stress-related pathway, and vascular-related pathways. Upregulation of haptoglobin (HP) and downregulation of fibrillin 1 (FBN1) were validated by ELISA. Receiver operating characteristic (ROC) analysis showed that HP and FBN1 could distinguish DME from NPDR with areas under the curve of 0.987 (p = 0.00608) and 0.791 (p = 0.00629), respectively. The findings provide potential clues for further analysis of the molecular mechanisms and the development of new treatments for DME. HP and FBN1 may be potential key proteins and therapeutic targets in human DME. The proteomics dataset generated has been deposited to the ProteomeXchange/iProX Consortium with Identifier: PXD033404/IPX0004353001.
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页数:14
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