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©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
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) | 8/12 | 7/10 | 5/15 |
Age (year) | 51.10 ± 10.88 | 52.65 ± 10.52 | 51.65 ± 12.56 |
DD (month) | 52.25 ± 53.32 | 56.18 ± 56.39 | 33.55 ± 33.35 |
BMI (kg/m2) | 23.15 ± 3.09 | 23.06 ± 3.24 | 23.64 ± 4.08 |
SBP (mmHg) | 120.85 ± 12.71 | 120.18 ± 13.50 | 119.30 ± 15.20 |
DBP (mmHg) | 77.50 ± 8.68 | 76.65 ± 8.93 | 79.05 ± 8.74 |
FPG (mmol/L) | 6.48 ± 0.47 | 6.48 ± 0.49 | 6.26 ± 0.47 |
2hPG (mmol/L) | 10.20 ± 3.34 | 10.42 ± 3.51 | 9.71 ± 2.03 |
HbA1c (%) | 5.97 ± 0.48 | 5.95 ± 0.31 | 5.92 ± 0.33 |
FINS (μIU/mL) | 9.23 ± 4.90 | 9.52 ± 5.27 | 15.07 ± 12.46 |
HOMA-IR | 2.67 ± 1.47 | 2.76 ± 1.59 | 4.15 ± 3.28 |
ALT (TU/L) | 22.15 ± 9.90 | 23.22 ± 10.22 | 26.76 ± 17.52 |
AST (U/L) | 21.83 ± 4.43 | 22.29 ± 4.62 | 24.99 ± 7.44 |
BUN (mg/dL) | 5.03 ± 1.20 | 5.19 ± 1.22 | 5.61 ± 0.96 |
Cr (mg/dL) | 61.50 ± 10.60 | 61.14 ± 10.85 | 64.46 ± 15.71 |
Table 2 Comparison of blood glucose and related indicators, mean ± SD
Variables | Con 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 ± 0.47 | 6.61 ± 0.66 | 6.47 ± 0.74 | 6.48 ± 0.49 | 6.63 ± 0.69 | 6.46 ± 0.78 | 6.26 ± 0.47 | 6.25 ± 0.73 | 6.09 ± 0.64 |
2hPG (mmol/L) | 10.20 ± 3.34 | 9.69 ± 2.54 | 9.77 ± 2.71 | 10.42 ± 3.51 | 9.83 ± 2.45 | 9.93 ± 2.65 | 9.71 ± 2.03 | 9.68 ± 2.73 | 7.98 ± 2.17a,1,2 |
HbA1c (%) | 5.97 ± 0.48 | NA | 6.14 ± 0.64 | 5.95 ± 0.31 | NA | 6.15 ± 0.56 | 5.92 ± 0.33 | NA | 5.84 ± 0.29a,2 |
FINS (μIU/mL) | 9.23 ± 4.90 | NA | 9.97 ± 7.80 | 9.52 ± 5.27 | NA | 10.40 ± 8.41 | 15.07 ± 12.46 | NA | 14.05 ± 14.49 |
HOMA-IR | 2.67 ± 1.47 | NA | 2.86 ± 2.27 | 2.76 ± 1.59 | NA | 2.98 ± 2.45 | 4.15 ± 3.28 | NA | 3.78 ± 3.88 |
BMI (kg/m2) | 23.15 ± 3.09 | NA | 23.01 ± 3.20 | 23.06 ± 3.24 | NA | 22.89 ± 3.35 | 23.64 ± 4.08 | NA | 23.16 ± 3.83 |
SBP (mmHg) | 120.85 ± 12.71 | NA | 119.80 ± 9.65 | 120.18 ± 13.50 | NA | 119.47 ± 10.43 | 119.30 ± 15.20 | NA | 120.40 ± 12.05 |
DBP (mmHg) | 77.50 ± 8.68 | NA | 78.95 ± 9.77 | 76.65 ± 8.93 | NA | 79.29 ± 10.35 | 79.05 ± 8.74 | NA | 77.65 ± 7.20 |
Table 3 Adverse events comparison, n (%)
Group | Number of participants number (ITT or PP analysis) | Number of AE |
Con group | 20/17 | 0 (0) |
XQG group | 20/20 | 2 (10.0) |
Table 4 Comparison of liver and renal function, mean ± SD
Variables | Con 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 ± 9.90 | 23.61 ± 18.73 | 23.22 ± 10.22 | 24.94 ± 20.01 | 26.76 ± 17.52 | 26.65 ± 18.95 |
AST (U/L) | 21.83 ± 4.43 | 23.01 ± 8.30 | 22.29 ± 4.62 | 23.68 ± 8.85 | 24.99 ± 7.44 | 26.94 ± 14.01 |
BUN (mmol/L) | 5.03 ± 1.20 | 5.18 ± 1.49 | 5.19 ± 1.22 | 5.37 ± 1.54 | 5.61 ± 0.96 | 5.66 ± 1.32 |
Cr (μmol/L) | 61.50 ± 10.60 | 59.70 ± 9.81 | 61.14 ± 10.85 | 59.02 ± 9.80 | 64.46 ± 15.71 | 63.84 ± 15.24 |
Table 5 Comparison of the dropout rates, n (%)
Group | Participants (n) | Dropped out |
Con group | 20 | 3 (15.0) |
XQG group | 20 | 0 (0) |
Table 6 Metabolite and Kyoto Encyclopedia of Genes and Genomes pathways
Metabolite | KEGG pathway description |
5-Hydroxy-L-Tryptophan | Tryptophan metabolism |
L-Formyl kynurenine | Tryptophan metabolism, Biosynthesis of cofactors |
2,3,4,5-tetrahydro-2-pyridinecarboxylic acid | Lysine degradation |
N6-Acetyl-L-Lysine | Lysine degradation |
Phenethylamine glucuronide | Biosynthesis of cofactors |
3-Methyl-2-oxobutanoic acid | Pantothenate and CoA biosynthesis, Biosynthesis of cofactors |
3-Methylindole | Tryptophan metabolism |
4’-Phosphopantothenoylcysteine | Pantothenate and CoA biosynthesis, Biosynthesis of cofactors |
Table 7 Evaluation index table of the total feature model
Method | Kappa | F1 | Precision | Recall | Accuracy |
Random forest | 0.7843 | 0.8889 | 0.8421 | 0.9412 | 0.8919 |
LASSO | 0.6667 | 0.8333 | 0.8333 | 0.8333 | 0.8333 |
Table 8 Metabolite features of least absolute shrinkage and selection operator regression analysis
Feature | Coefficient |
Dimethylformamide | -0.36107 |
5-Hydroxy-L-Tryptophan | 10.6295 |
Lanthionine ketimine | 0.750093 |
5-Nitro-2-phenylpropylaminobenzoic acid | 0.214502 |
Tyr Leu | 0.242158 |
N-Nervonoyl methionine | 12.02622 |
Calcitroic acid | 4.998331 |
Valylasparagine | 1.677792 |
4-Epitetracycline | 0.702722 |
Naringenin 7-sulfate | 0.512388 |
Stearoyllactic acid | -1.58267 |
N-Oleoyl glutamine | 2.505959 |
1-Nitro-7-glutathionyl-8-hydroxy-7,8-dihydronaphthalene | 0.374231 |
2-(5-carboxypentanoylamino) benzoic acid | 0.332139 |
Flurenol | 0.023748 |
Table 9 Common targets of Xiaokeqing granule constituents and core metabolomic biomarkers
Targets | Targets | Targets |
HTR2B | EGFR | MTNR1A |
HTR1A | GRIA1 | MTNR1B |
HTR2C | ADORA3 | MMP3 |
IDO1 | SLC6A3 | ITGB1 |
SLC6A4 | MIF | PTPN1 |
DRD3 | FAAH | SIRT2 |
HTR5A | TRPV1 | BACE1 |
- Citation: Zhao JD, Guo MZ, Zhang Y, Zhu SH, Wang YT, Zhang YP, Liu X, Cheng S, Wang F, Xu Q, Ruan NB, Fang ZH. Efficacy of Xiaokeqing granules and lifestyle intervention in treating prediabetes mellitus considering metabolomic biomarkers: A randomised controlled trial. World J Diabetes 2025; 16(7): 105219
- URL: https://www.wjgnet.com/1948-9358/full/v16/i7/105219.htm
- DOI: https://dx.doi.org/10.4239/wjd.v16.i7.105219