The invention relates to a novel use of serum sample micromolecule metabolites such as
oleic acid,
stearic acid, eicosatrienoic acid,
dehydroepiandrosterone sulfate, glycosylated
phenylalanine and
uridine as combined markers in preparation of a kit for diagnosis of polycystic ovarian syndrome of subjects. The invention also relates to a kit of diagnosis of polycystic ovarian syndrome of subjects. The kit is used for detecting respective concentrations of the combined markers in a serum sample of a female subject, calculating combined marker variable based on a binary
logistic regression equation, and determining if the subject suffers from polycystic ovarian syndrome based on the determined intercept point value. The kit can realizes high sensitivity and high efficiency detection of the micromolecular metabolites and has the characteristics of low detection cost and good
repeatability. Through
combined use of the micromolecular metabolites, the kit can be used in auxiliary diagnosis of different symptoms of polycystic ovarian syndrome.