Objective To explore the material basis of different patterns of psoriasis vulgaris（PV） by analyzing the salivary metabolic profiles. Methods Forty-five PV patients with blood heat pattern（21 cases）

blood stasis pattern（13 cases）

or blood dryness pattern（11 cases） were recruited as the disease group

while 30 healthy volunteers during the same period were recruited as the normal control group. The UPLC-MS/MS detection platform

self-built database

and multivariate statistical analysis were used to compare the differences in the metabolites of saliva samples between different PV pattern groups and the normal control group; principal component analysis was used to screen syndrome-related biomarkers

and the KEGG database was used to annotate and enrich the pathways of the selected differential metabolites. Results A total of 368 metabolites were detected in 75 saliva samples. When compared with the metabolites of the normal control group

there were nine specific differential metabolites such as 3-（3-hydroxyphenyl） propionic acid identified in blood heat pattern patients

seven differential metabolites such as cyclohexyl-sulfamic acid identified in blood stasis pattern patients

and four differential metabolites such as lauric acid identified in blood dryness pattern patients. Pairwise comparison analysis between blood heat pattern and blood stasis pattern group identified 10 differential metabolites; comparison between blood heat pattern and blood dryness pattern group found 5 differential metabolites; comparison between blood stasis pattern and blood dryness pattern group found 17 differential metabolites. The categories of the identified differential metabolites mainly include lipids

organic acids

amino acids

nucleotides and their derivatives. There were five significantly enriched metabolic pathways such as glycerophospholipid pathway. Conclusion There are significant differences between psoriasis vulgaris patients of blood heat pattern

blood stasis pattern

and blood dryness pattern in in salivary metabolism. Different metabolites such as lysolecithin

2-aminoadipic acid and cortisol may work as potential markers for patterns differentiation. The specific metabolic pathways involve glycerophospholipid metabolic pathway and others.