To identify the differential markers in the urine and serum of patients with chronic kidney disease stages 3 to 4(syndrome of dampness turbidity) based on non-target metabonomics.Methods:Sixty patients with chronic kidney disease stages 3 to 4(syndrome of dampness turbidity) treated in the Longhua Hospital affiliated to Shanghai University of Traditional Chinese Medicine from June 1 to December 31 in 2019 and 10 volunteers confirmed healthy by physical examination were selected as the observation group and the control group，respectively.Non-target metabonomics was employed to identify the differential markers.Results:The principal component analysis of metabolism scores showed that the metabolites in the urine and serum had significant differences between the observation group and the control group(P<0.05).The permutation test of the orthogonal partial least squares-discriminant analysis(OPLS-DA) of urine metabolites showed R2Y=0.67>0 and Q2Y=0.43>0.After ranking of the 17 differential metabolites，5 differential biomarkers were identified with the reference substances，including arbutin，salicin，4-oxoproline，guanidinoacetic acid，and creatine.Their transformation paths and main metabolic pathways(glycolysis and arginine and proline metabolism) were clarified.The permutation test of the OPLS-DA of serum metabolites showed R2Y=0.70>0 and Q2Y=0.50>0.After ranking of the 16 differential metabolites，the differential biomarkers were identified based on the reference substances，including pyruvic acid，succinic acid semialdehyde，fumaric acid，citric acid，malic acid，and α-ketoglutaric acid.Furthermore，their transformation paths and main metabolic pathways(tricarboxylic acid cycle and metabolism of alanine，aspartate，and glutamate) were predicted.Conclusion:Metabonomics can improve the diagnostic accuracy of chronic kidney disease stages 3 to 4(syndrome of dampness turbidity) and thus serves as a good diagnostic method for this disease.