关键词: 
Alanine aminotransferase /
Aspartate aminotransferase /
Metabolic syndrome /
Dynamic cohort study /
Generalized estimating equation model

摘要: ObjectiveThis study exploredthe correlation of longitudinal changes in serumalanine aminotransferase (ALT) and aspartate aminotransferase (AST)levels with the incidence of metabolic syndrome (Mets)based on a dynamic health examination cohort.
MethodsA Mets-free dynamic cohortinvolving 4541 participants who underwent at leastthree health examinations from 2006 to 2011 was included in the study. Mets was defined according to the Chinese Medical Association Diabetes Branch definitionthat included hypertension, obesity, hyperlipidemia, and hyperglycemia. Generalized estimating equation (GEE) model was used to analyze multivariate relative risk (RR) of repeated observations ofALT and AST in quartiles for Mets or its components according to gender.
ResultsIn all, 826Mets cases were reported. Adjustmentof relevant parameters indicated that time-varyingchanges in ALT and ASTlevels were positively associated with the incidenceof Mets in a dose-response manner. Positive association between high ALT levels and fatty liver was much stronger than that between high AST levels and fatty liver, particularly in maleparticipants. These associations were consistently observed in the following subgroups: participants with ALT and ASTlevels of <40U/L, participants withof <25 kg/m2, and participants with non-fatty liver. Furthermore, participants with 2 Mets components at baseline showed lower multivariate adjusted RRs of ALT and AST for Mets than participants with 0-1 Mets component.
ConclusionThese results suggested that elevated serum ALT and AST levels wereearly biomarkers of Mets or its components.