Copyright
©The Author(s) 2025.
World J Hepatol. Jun 27, 2025; 17(6): 104693
Published online Jun 27, 2025. doi: 10.4254/wjh.v17.i6.104693
Published online Jun 27, 2025. doi: 10.4254/wjh.v17.i6.104693
Table 1 Anthropometric parameters and biochemical indexes among subjects with or without metabolic dysfunction-associated steatotic liver disease
Variables | UAP ≤ 244 dB/m (n = 68) | UAP > 244 dB/m (n = 144) | P value |
Male/female | 42/26 | 96/48 | 0.538 |
Age (years) | 59 (54, 69) | 54 (39, 66) | 0.003 |
Diabetes duration (years) | 8.5 (3, 12.75) | 5 (1, 10) | 0.1 |
BMI (kg/m2) | 22.14 (20.22, 24.21) | 26.1 (23.67, 28.65) | < 0.001 |
WC (cm) | 84.32 ± 9.9 | 92.49 ± 11.24 | < 0.001 |
WHR | 0.9 (0.86, 0.95) | 0.95 (0.9, 1.0) | < 0.001 |
SBP (kPa) | 18.53 (16.13, 20.13) | 18 (16.67, 19.73) | 0.706 |
DBP (kPa) | 10.67 ± 1.57 | 11 ± 1.53 | 0.143 |
ALT (U/L) | 17 (10.25, 28.5) | 24 (15, 39.75) | 0.001 |
AST (U/L) | 20 (16, 27.75) | 22 (18, 29.75) | 0.067 |
SUA (μmol/L) | 314.5 (254, 401) | 342 (271.75, 443) | 0.074 |
Scr (μmol/L) | 63.5 (52.5, 79.75) | 62 (52, 77) | 0.702 |
eGFR (mL/min/1.73 m2) | 106.55 (87, 126.35) | 116.95 (92.65, 139.78) | 0.162 |
UACR (mg/g) | 2.48 (0.97, 6.27) | 2.11 (1.09, 7.82) | 0.315 |
TC (mmol/L) | 4.45 (3.62, 5.2) | 4.8 (4.17, 5.6) | 0.031 |
TG (mmol/L) | 1.14 (0.94, 1.47) | 1.81 (1.14, 2.61) | < 0.001 |
HDL (mmol/L) | 1.18 (0.97, 1.3) | 1.06 (0.91, 1.2) | 0.012 |
LDL (mmol/L) | 2.91 (2.3, 3.5) | 3.25 (2.65, 3.91) | 0.036 |
GLU0 min (mmol/L) | 8.86 ± 2.48 | 9.11 ± 2.37 | 0.468 |
GLU120 min (mmol/L) | 19.94 ± 5.71 | 19.75 ± 4.04 | 0.81 |
AUCGLU 0-180 min | 3109.48 ± 804.22 | 3100.06 ± 590.39 | 0.931 |
HBA1c (%) | 9.55 (7.23, 11.3) | 8.9 (7.7, 10.73) | 0.367 |
INS0 min (mIU/L) | 0.59 (0.28, 0.76) | 0.86 (0.53, 1.1) | < 0.001 |
INS120 min (mIU/L) | 1.19 ± 0.41 | 1.41 ± 0.44 | 0.001 |
AUCINS 0-180 min | 3.38 ± 0.4 | 3.6 ± 0.41 | < 0.001 |
HOMA-IR | 0.17 (-0.14, 0.35) | 0.46 (0.13, 0.46) | < 0.001 |
CP0 min (μg/L) | 1.37 (0.79, 2.04) | 2.14 (1.37, 2.98) | < 0.001 |
CP120 min (μg/L) | 3.75 (2.81, 5.47) | 5.32 (3.54, 7.89) | 0.001 |
AUCCP 0-180 min | 569.48 (418.24, 745.2) | 834.68 (521.36, 1155) | < 0.001 |
GCG0 min (pmol/L) | 0.97 ± 0.21 | 1.11 ± 0.26 | < 0.001 |
GCGpeak (pmol/L) | 1.0 6± 0.2 | 1.2 ± 0.24 | < 0.001 |
AUCGCG 0-180 min | 3.1 ± 0.24 | 3.3 ± 0.26 | < 0.001 |
LSM (kPa) | 6 (4.08, 7) | 7 (6, 8.33) | < 0.001 |
APRI | -0.59 ± 0.29 | -0.51 ± 0.29 | 0.224 |
GPR | -0.65 ± 0.37 | -0.52 ± 0.34 | 0.014 |
FIB4 | 0.18 ± 0.2 | 0.10 ± 0.27 | 0.016 |
PBF (%) | 25.57 ± 8.46 | 30.64 ± 6.73 | < 0.001 |
BMR (kcal) | 1350.15 ± 173.24 | 1486.33 ± 204.92 | < 0.001 |
VFA (cm2) | 75.35 (57.18, 94.9) | 98.05 (81.4, 146.15) | < 0.001 |
FFMI (kg/m2) | 16.7 (14.93, 17.85) | 18.05 (16.4, 19.48) | < 0.001 |
FMI (kg/m2) | 5.85 (4.45, 7.23) | 7.35 (6.13, 9.98) | < 0.001 |
SMI (kg/m2) | 6.9 (5.85, 7.5) | 7.5 (6.7, 8.08) | < 0.001 |
Table 2 Correlation analysis between ultrasound attenuation parameter and other parameters
r value | P value | |
Age | -0.331 | < 0.001 |
Diabetes duration | -0.135 | 0.05 |
BMI | 0.685 | < 0.001 |
WC | 0.513 | < 0.001 |
SBP | 0.039 | 0.573 |
DBP | 0.203 | 0.003 |
ALT | 0.205 | 0.003 |
AST | 0.082 | 0.232 |
SUA | 0.273 | < 0.001 |
Scr | 0.012 | 0.857 |
eGFR | 0.046 | 0.505 |
UACR | 0.031 | 0.649 |
TC | 0.088 | 0.202 |
TG | 0.27 | < 0.001 |
HDL | -0.249 | < 0.001 |
LDL | 0.127 | 0.066 |
GLU0 min | 0.067 | 0.329 |
GLU120 min | -0.055 | 0.43 |
AUCGLU 0-180 min | -0.027 | 0.698 |
HBA1c | -0.068 | 0.328 |
INS0 min1 | 0.361 | < 0.001 |
INS120 min1 | 0.277 | < 0.001 |
AUCINS 0-180 min1 | 0.289 | < 0.001 |
HOMA-IR1 | 0.363 | < 0.001 |
CP0 min | 0.406 | < 0.001 |
CP120 min | 0.256 | < 0.001 |
AUCCP 0-180 min | 0.289 | < 0.001 |
GCG0 min1 | 0.336 | < 0.001 |
GCGpeak1 | 0.353 | < 0.001 |
AUCGCG 0-180 min1 | 0.353 | < 0.001 |
LSM | 0.417 | < 0.001 |
APRI1 | 0.102 | 0.137 |
GPR1 | 0.202 | 0.003 |
FIB41 | -0.262 | < 0.001 |
PBF | 0.423 | < 0.001 |
BMR | 0.474 | < 0.001 |
VFA | 0.53 | < 0.001 |
FFMI | 0.509 | < 0.001 |
FMI | 0.536 | < 0.001 |
SMI | 0.476 | < 0.001 |
Table 3 Covariance analysis of ultrasound attenuation parameter-related factors
Collinearity statistics | ||
Tolerance | VIF | |
Age | 0.457 | 2.191 |
BMI | 0.085 | 11.734 |
WC | 0.367 | 2.726 |
DBP | 0.770 | 1.298 |
ALT | 0.580 | 1.723 |
SUA | 0.698 | 1.432 |
TG | 0.785 | 1.273 |
HDL | 0.787 | 1.271 |
INS0 min | 0.013 | 75.684 |
INS120 min | 0.008 | 131.244 |
AUCINS 0-180 min | 0.005 | 207.055 |
HOMA-IR | 0.029 | 34.293 |
CP0 min | 0.126 | 7.945 |
CP120 min | 0.006 | 154.348 |
AUCCP 0-180 min | 0.005 | 185.228 |
GCG0 min | 0.156 | 6.404 |
GCGpeak | 0.054 | 18.686 |
AUCGCG 0-180 min | 0.075 | 13.308 |
LSM | 0.607 | 1.647 |
GPR | 0.423 | 2.363 |
FIB4 | 0.422 | 2.368 |
PBF | 0.055 | 18.162 |
BMR | 0.064 | 15.617 |
VFA | 0.042 | 23.946 |
FFMI | 0.060 | 16.617 |
FMI | 0.024 | 42.368 |
SMI | 0.029 | 34.632 |
Table 4 Multivariate linear regression analysis of various biomarkers with ultrasound attenuation parameter
Standard β | t value | P value | |
Age | 0.078 | 0.991 | 0.323 |
WC | -0.005 | -0.067 | 0.947 |
DBP | -0.048 | -0.756 | 0.451 |
ALT | 0.093 | 1.258 | 0.210 |
SUA | 0.034 | 0.512 | 0.609 |
TG | 0.033 | 0.526 | 0.599 |
HDL | 0.050 | 0.794 | 0.428 |
CP0 min | 0.245 | 3.566 | < 0.001 |
GCG0 min | 0.182 | 2.020 | 0.045 |
LSM | 0.320 | 5.144 | < 0.001 |
GPR | -0.094 | -1.088 | 0.278 |
FIB4 | 0.085 | 0.977 | 0.330 |
Table 5 Multivariate logistic regression model with metabolic dysfunction-associated steatotic liver disease as a dependent variable
OR (95%CI) | P value | |
GCG0 min | 3.068 (1.333-7.064) | 0.008 |
CP0 min | 1.965 (1.323-2.918) | 0.001 |
LSM | 1.422 (1.16-1.743) | 0.001 |
- Citation: Sun Y, Huang P, Zhao XQ, Tang ZQ, Xu TT, Wang XW, Qi ZX, Lin WR, Li MY, Gu YJ. Relationship between glucagon and metabolic dysfunction-associated steatotic liver disease in patients with type 2 diabetes mellitus. World J Hepatol 2025; 17(6): 104693
- URL: https://www.wjgnet.com/1948-5182/full/v17/i6/104693.htm
- DOI: https://dx.doi.org/10.4254/wjh.v17.i6.104693