Identification of the Metabolomics Signature of Human Follicular Fluid from PCOS Women with Insulin Resistance
Table 2
Altered metabolites between the PCOS-IR and the PCOS-NIR groups.
Metabolite name
HMDB
Class
VIP
value
log2(FC)
Lithocholic acid
HMDB0000761
Lipids and lipid-like molecules
4.22019
-3.03
Citraconic acid
HMDB0000634
Fatty acyls
3.54103
1.27
Dehydroascorbic acid
HMDB0001264
Lactones
3.38468
1.57
Hydrocinnamic acid
HMDB0000764
Phenylpropanoic acids
3.19849
1.09
Isoxanthopterin
HMDB0000704
Pteridines and derivatives
2.86554
1.07
Isocitric acid
HMDB0000193
Carboxylic acids and derivatives
2.28663
0.69
3-Amino-2-piperidone
HMDB0000323
Carboxylic acids and derivatives
1.92061
-0.60
Cerotinic acid
HMDB0002356
Fatty acyls
1.78952
0.47
Urocanic acid
HMDB0000301
Azoles
1.66985
-0.77
Isonicotinic acid
HMDB0060665
Pyridines and derivatives
1.65114
0.53
Stigmasterol
HMDB0000937
Steroids and steroid derivatives
1.44124
0.42
Heptadecanoic acid
HMDB0002259
Fatty acyls
1.40184
0.24
Stearic acid
HMDB0000827
Fatty acyls
1.32349
0.21
Sinapinic acid
HMDB0032616
Cinnamic acids and derivatives
1.28220
-0.23
Pyruvic acid
HMDB0000243
Keto acids and derivatives
1.27191
0.30
Thymine
HMDB0000262
Diazines
1.24689
0.24
5-Deoxy-5-methylthioadenosine
HMDB0001173
5-Deoxyribonucleosides
1.20419
-0.18
Pentadecanoic acid
HMDB0000826
Fatty acyls
1.06299
0.17
Palmitic acid
HMDB0000220
Fatty acyls
1.04755
0.17
Cytosine
HMDB0000630
Diazines
1.03637
0.19
The combination of multidimensional analysis and unidimensional analysis was used to screen the differential metabolites between the groups. VIP shows the variable weight value obtained from the OPLS-DA model with a cutoff of 1.0. The greater the VIP is, the greater the contribution of the variable to the grouping. values, calculated by -tests, were used to evaluate whether the differences in variables between the two groups were significant. indicates a significant difference. The log2(FC) was calculated as the ratio of the average expression of metabolites in the two groups of samples. A positive value indicates an increase, and a negative value indicates a decrease.
