<HashMap><database>iProX</database><scores/><additional><omics_type>Proteomics</omics_type><submitter>Dongguo Wang</submitter><species>Homo Sapiens</species><full_dataset_link>http://www.iprox.org/page/project.html?id=IPX0003290000</full_dataset_link><submitter_email>wdgtzs@163.com</submitter_email><submitter_affiliation>Taizhou Municipal Hospital Affiliated with Taizhou University</submitter_affiliation><sample_protocol></sample_protocol><repository>iProX</repository><data_protocol></data_protocol><pubmed_abstract>&lt;h4>Purpose&lt;/h4>We intended to preliminarily find differentially expressed proteins that play crucial roles in proliferative diabetic retinopathy (PDR), and lay the foundation for subsequent further research on the mechanism.&lt;h4>Experimental design&lt;/h4>Here, we developed a new strategy integrated the sequential windowed acquisition of all theoretical fragment ion (SWATH) mass spectra (MS) with multi-dataset joint analysis to screen for the PDR plasma biomarker. The annotation of the given gene list was performed with ClueGO function analysis. Additionally, the protein-protein interaction relationship was also revealed by the STRING database.&lt;h4>Results&lt;/h4>In SWATH-MS assays, we identified 23 upregulated and 13 downregulated proteins in PDR plasma. In the mRNA database analysis, 375 genes were identified as differentially expressed genes in GSE102485. Only three genes (FCGR3A, DPEP2, and ADGRF5) were characterized as upregulated in both the dataset and the SWATH-MS list. The area under the ROC curve (AUC) of FCGR3A, DPEP2, and ADGRF5 in distinguishing PDR from others was 0.739, 0.770, and 0.739.&lt;h4>Conclusions and clinical relevance&lt;/h4>We provide a novel strategy for biomarker screening and identified plasma FCGR3A, DPEP2, and ADGRF5 as potential biomarkers for patients with PDR. Identifying the key molecules of the disease is essential for the development of new therapeutic molecules and new uses of existing drugs.</pubmed_abstract><pubmed_title>Integrating SWATH-MS proteomics and transcriptome analysis to preliminarily identify three DEGs as biomarkers for proliferative diabetic retinopathy.</pubmed_title><pubmed_authors>Wu Haijian H, Wang Dongguo D, Zheng Qianyin Q, Xu Zhiwei Z</pubmed_authors></additional><is_claimable>false</is_claimable><name>Integrating SWATH-MS Proteomics and Transcriptome Analysis Identifies Three DEGs as Biomarkers for Proliferative Diabetic Retinopathy Running heading-Three Biomarkers for PDR</name><description>Although management of risk factors, including hyperglycemia, hyperlipidemia, and hypertension, have been shown to ameliorate diabetes-induced vision loss, effective noninvasive medical therapies for the prevention of PDR remain an unmet clinical need. We intended to find differentially expressed proteins that play crucial roles in proliferative diabetic retinopathy. We provide a novel strategy for biomarker screening, combining recent MS techniques with public database analysis, and identified plasma FCGR3A, DPEP2 and ADGRF5 as potential biomarkers for patients with PDR. Identifying the key molecules of the disease is essential for the development of new therapeutic molecules and new uses of existing drugs.</description><dates><publication>Thu Sep 09 00:00:00 GMT+01:00 2021</publication></dates><accession>PXD028227</accession><cross_references><TAXONOMY>9606</TAXONOMY><pubmed>34528762</pubmed></cross_references></HashMap>