Identification of key biomarkers and immune infiltration of fibrovascular membranes in diabetic retinopathy patients by bioinformatics analysis
	    		
		   		
		   			
		   		
	    	
    	 
    	10.3969/j.issn.1000-484X.2024.09.022
   		
        
        	
        		- VernacularTitle:通过生物信息学分析鉴定糖尿病视网膜病变的关键生物标志物和免疫浸润
 
        	
        	
        	
        		- Author:
	        		
		        		
		        		
			        		Zhen WANG
			        		
			        		
			        		
			        			1
			        			
			        		
			        		
			        		
			        		
			        		;
		        		
		        		
		        		
			        		Min LIAO
			        		
			        		;
		        		
		        		
		        		
			        		Fanglin QIN
			        		
			        		;
		        		
		        		
		        		
			        		Yarong HAO
			        		
			        		
		        		
		        		
		        		
		        		
		        			
			        		
			        		Author Information
			        		
		        		
		        		
			        		
			        		
			        			1. 武汉大学人民医院老年病科,武汉 430000
			        		
		        		
	        		
        		 
        	
        	
        	
        	
        		- Keywords:
        			
	        			
	        				
	        				
			        		
				        		Diabetic retinopathy;
			        		
			        		
			        		
				        		Fibrovascular membrane;
			        		
			        		
			        		
				        		AGEs-RAGE signaling pathway;
			        		
			        		
			        		
				        		M2 macrophages;
			        		
			        		
			        		
				        		Collagen gene
			        		
			        		
	        			
        			
        		
 
        	
            
            
            	- From:
	            		
	            			Chinese Journal of Immunology
	            		
	            		 2024;40(9):1925-1932
	            	
            	
 
            
            
            	- CountryChina
 
            
            
            	- Language:Chinese
 
            
            
            	- 
		        	Abstract:
			       	
			       		
				        
				        	Objective:To provide theoretical basis for the relevant mechanisms in diabetic retinopathy by bioinformatics methods.Methods:Proliferative diabetic retinopathy(PDR)datasets GSE60439 and GSE94019 were screened through GEO database.Expres-sion data of GSE60439 dataset was extracted using R language,and the differential genes were determined,with the screening condi-tions of P<0.05 and|log2FC|≥1;WGCNA was used to select the important modules related to PDR in GSE94019 dataset;key genes were obtained by intersecting differential genes and genes in important modules.Key genes were subjected to GO and KEGG enrich-ment analysis;PPI network was constructed to identify high-risk key proteins.Finally,CIBERSORTx was used to analyze the infiltra-tion of immune cells in PDR,and Pearson correlation analysis was used to screen key genes related to immune cells as core genes.Results:Three core genes were finally obtained,namely Col1a1,Col1a2 and Col3a1,their expressions were positively correlated with M2 macrophages,and the core genes were enriched in the AGEs-RAGE signaling pathway.Conclusion:Positive feedback may be formed between M2 macrophages,AGEs-RAGE signaling pathway and collagen genes(Col1a1,Col1a2,Col3a1),even without the stimulation of high glucose,this vicious circle may continue to damage retinal tissue.