Clinical Trials Study
Copyright ©The Author(s) 2025.
World J Diabetes. Jul 15, 2025; 16(7): 105219
Published online Jul 15, 2025. doi: 10.4239/wjd.v16.i7.105219
Table 1 Comparison of the baseline characteristics, mean ± SD
Variables
Con group (n = 20, ITT analysis)
Con group (n = 17, PP analysis)
XQG group (n = 20, ITT or PP analysis)
Sex (male/female)8/127/105/15
Age (year)51.10 ± 10.8852.65 ± 10.5251.65 ± 12.56
DD (month)52.25 ± 53.3256.18 ± 56.3933.55 ± 33.35
BMI (kg/m2)23.15 ± 3.0923.06 ± 3.2423.64 ± 4.08
SBP (mmHg)120.85 ± 12.71120.18 ± 13.50119.30 ± 15.20
DBP (mmHg)77.50 ± 8.6876.65 ± 8.9379.05 ± 8.74
FPG (mmol/L)6.48 ± 0.476.48 ± 0.496.26 ± 0.47
2hPG (mmol/L)10.20 ± 3.3410.42 ± 3.519.71 ± 2.03
HbA1c (%)5.97 ± 0.485.95 ± 0.315.92 ± 0.33
FINS (μIU/mL)9.23 ± 4.909.52 ± 5.2715.07 ± 12.46
HOMA-IR2.67 ± 1.472.76 ± 1.594.15 ± 3.28
ALT (TU/L)22.15 ± 9.9023.22 ± 10.2226.76 ± 17.52
AST (U/L)21.83 ± 4.4322.29 ± 4.6224.99 ± 7.44
BUN (mg/dL)5.03 ± 1.205.19 ± 1.225.61 ± 0.96
Cr (mg/dL)61.50 ± 10.6061.14 ± 10.8564.46 ± 15.71
Table 2 Comparison of blood glucose and related indicators, mean ± SD
VariablesCon group (ITT analysis)
Con group (PP analysis)
XQG group (ITT or PP analysis)
Baseline (n = 20)
Follow-up 1 (n = 20)
Follow-up 2 (n = 20)
Baseline (n = 17)
Follow-up 1 (n = 17)
Follow-up 2 (n = 17)
Baseline (n = 20)
Follow-up 1 (n = 20)
Follow-up 2 (n = 20)
FPG (mmol/L)6.48 ± 0.476.61 ± 0.666.47 ± 0.746.48 ± 0.496.63 ± 0.696.46 ± 0.786.26 ± 0.476.25 ± 0.736.09 ± 0.64
2hPG (mmol/L)10.20 ± 3.349.69 ± 2.549.77 ± 2.7110.42 ± 3.519.83 ± 2.459.93 ± 2.659.71 ± 2.039.68 ± 2.737.98 ± 2.17a,1,2
HbA1c (%)5.97 ± 0.48NA6.14 ± 0.645.95 ± 0.31NA6.15 ± 0.565.92 ± 0.33NA5.84 ± 0.29a,2
FINS (μIU/mL)9.23 ± 4.90NA9.97 ± 7.809.52 ± 5.27NA10.40 ± 8.4115.07 ± 12.46NA14.05 ± 14.49
HOMA-IR2.67 ± 1.47NA2.86 ± 2.272.76 ± 1.59NA2.98 ± 2.454.15 ± 3.28NA3.78 ± 3.88
BMI (kg/m2)23.15 ± 3.09NA23.01 ± 3.2023.06 ± 3.24NA22.89 ± 3.3523.64 ± 4.08NA23.16 ± 3.83
SBP (mmHg)120.85 ± 12.71NA119.80 ± 9.65120.18 ± 13.50NA119.47 ± 10.43119.30 ± 15.20NA120.40 ± 12.05
DBP (mmHg)77.50 ± 8.68NA78.95 ± 9.7776.65 ± 8.93NA79.29 ± 10.3579.05 ± 8.74NA77.65 ± 7.20
Table 3 Adverse events comparison, n (%)
Group
Number of participants number (ITT or PP analysis)
Number of AE
Con group20/170 (0)
XQG group20/202 (10.0)
Table 4 Comparison of liver and renal function, mean ± SD
VariablesCon group (ITT analysis)
Con group (PP analysis)
XQG group (ITT or PP analysis)
Baseline (n = 20)
Follow-up 2 (n = 20)
Baseline (n = 17)
Follow-up 2 (n = 17)
Baseline (n = 20)
Follow-up 2 (n = 20)
ALT (U/L)22.15 ± 9.9023.61 ± 18.7323.22 ± 10.2224.94 ± 20.0126.76 ± 17.5226.65 ± 18.95
AST (U/L)21.83 ± 4.4323.01 ± 8.3022.29 ± 4.6223.68 ± 8.8524.99 ± 7.4426.94 ± 14.01
BUN (mmol/L)5.03 ± 1.205.18 ± 1.495.19 ± 1.225.37 ± 1.545.61 ± 0.965.66 ± 1.32
Cr (μmol/L)61.50 ± 10.6059.70 ± 9.8161.14 ± 10.8559.02 ± 9.8064.46 ± 15.7163.84 ± 15.24
Table 5 Comparison of the dropout rates, n (%)
Group
Participants (n)
Dropped out
Con group203 (15.0)
XQG group200 (0)
Table 6 Metabolite and Kyoto Encyclopedia of Genes and Genomes pathways
Metabolite
KEGG pathway description
5-Hydroxy-L-TryptophanTryptophan metabolism
L-Formyl kynurenineTryptophan metabolism, Biosynthesis of cofactors
2,3,4,5-tetrahydro-2-pyridinecarboxylic acidLysine degradation
N6-Acetyl-L-LysineLysine degradation
Phenethylamine glucuronideBiosynthesis of cofactors
3-Methyl-2-oxobutanoic acidPantothenate and CoA biosynthesis, Biosynthesis of cofactors
3-MethylindoleTryptophan metabolism
4’-PhosphopantothenoylcysteinePantothenate and CoA biosynthesis, Biosynthesis of cofactors
Table 7 Evaluation index table of the total feature model
Method
Kappa
F1
Precision
Recall
Accuracy
Random forest0.78430.88890.84210.94120.8919
LASSO0.66670.83330.83330.83330.8333
Table 8 Metabolite features of least absolute shrinkage and selection operator regression analysis
Feature
Coefficient
Dimethylformamide-0.36107
5-Hydroxy-L-Tryptophan10.6295
Lanthionine ketimine0.750093
5-Nitro-2-phenylpropylaminobenzoic acid0.214502
Tyr Leu0.242158
N-Nervonoyl methionine12.02622
Calcitroic acid4.998331
Valylasparagine1.677792
4-Epitetracycline0.702722
Naringenin 7-sulfate0.512388
Stearoyllactic acid-1.58267
N-Oleoyl glutamine2.505959
1-Nitro-7-glutathionyl-8-hydroxy-7,8-dihydronaphthalene0.374231
2-(5-carboxypentanoylamino) benzoic acid0.332139
Flurenol0.023748
Table 9 Common targets of Xiaokeqing granule constituents and core metabolomic biomarkers
Targets
Targets
Targets
HTR2BEGFRMTNR1A
HTR1AGRIA1MTNR1B
HTR2CADORA3MMP3
IDO1SLC6A3ITGB1
SLC6A4MIFPTPN1
DRD3FAAHSIRT2
HTR5ATRPV1BACE1