Study on urine metabonomics in diabetic nephropathies patients with different syndromes
	    		
		   		
		   			
		   		
	    	
    	 
    	10.3760/cma.j.cn115398-20230920-00220
   		
        
        	
        		- VernacularTitle:糖尿病肾病同病异证患者尿液代谢组学研究
 
        	
        	
        	
        		- Author:
	        		
		        		
		        		
			        		Qiang ZHANG
			        		
			        		
			        		
			        			1
			        			
			        		
			        		
			        		
			        		
			        		;
		        		
		        		
		        		
			        		Aiping LI
			        		
			        		;
		        		
		        		
		        		
			        		Zhenyu LI
			        		
			        		;
		        		
		        		
		        		
			        		Hong LI
			        		
			        		
		        		
		        		
		        		
		        		
		        			
			        		
			        		Author Information
			        		
		        		
		        		
			        		
			        		
			        			1. 山西中医药大学第三临床学院2021级硕士研究生,太原 030024
			        		
		        		
	        		
        		 
        	
        	
        	
        	
        		- Keywords:
        			
	        			
	        				
	        				
			        		
				        		Diabetic nephropathies;
			        		
			        		
			        		
				        		Syndrome differentiation classification;
			        		
			        		
			        		
				        		Metabolomics;
			        		
			        		
			        		
				        		Same disease but different syndrome
			        		
			        		
	        			
        			
        		
 
        	
            
            
            	- From:
	            		
	            			International Journal of Traditional Chinese Medicine
	            		
	            		 2024;46(7):832-838
	            	
            	
 
            
            
            	- CountryChina
 
            
            
            	- Language:Chinese
 
            
            
            	- 
		        	Abstract:
			       	
			       		
				        
				        	Objective:To analyze the potential biomarkers of kidney yang deficiency, kidney yin deficiency, and stasis and water stagnation in diabetic nephropathies (DN) using hydrogen nuclear magnetic resonance ( 1H-NMR)-based technology; To provide a test basis for the TCM diagnosis and typing of DN from the molecular biology point of view. Methods:This is a case-control study. Totally 90 patients with DN Ⅲ-Ⅳ in the second ward of Nephrology Department of Shanxi Integrated Traditional and Western Medicine Hospitalwere selected from November 2022 to May 2023, and were divided into the kidney yang deficiency group, the kidney yin deficiency group, and the stasis and water stagnation group based on TCM syndrome types, with 30 cases in each group; 30 healthy medical checkups were selected as the healthy control group. Urine samples were taken from each group for case-control study, and the samples were examined by 1H-NMR technology. The data were preprocessed to obtain the relevant data matrix and qualitative identification of metabolites, and multivariate statistical analyses were performed to clarify the differences between the samples and screen the metabolites that contributed to the grouping, and the key pathways were analyzed. Results:Through metabolomics technology combined with multivariate statistical analysis, a total of 12 potential biomarkers in the urine of patients with DN kidney yang deficiency were screened out, involving 6 major metabolic pathways; 15 potential biomarkers in the urine of patients with kidney yin deficiency were screened out, involving 6 major metabolic pathways; and 7 potential biomarkers in the urine of patients with stasis and water stagnation were screened out, involving 5 major metabolic pathways. Among them, glyoxylate and dicarboxylic acid metabolism, and glycine, serine and threonine metabolism were the metabolic pathways commonly involved in the three groups of syndrome types.Conclusion:There are differences among patients with kidney yang deficiency, kidney yin deficiency, and stasis and water stagnation in DN, and the discovery of potential biomarkers can provide an objective basis and reference value for TCM diagnosis of DN.