Research Article

Discrimination of Traditional Chinese Medicine Syndromes in Type 2 Diabetic Patients Based on Metabolomics-Proteomics Profiles

Table 2

Clinical and biochemical data of the study subjects.

CharacteristicsT2DM with non-DHS (n = 30)T2DM with DHS (n = 30) value

Age (years)57.80 ± 11.8252.97 ± 11.220.11
BMI (kg/m2)25.92 ± 3.2826.70 ± 3.650.39
FBG (mmol/L)9.48 ± 3.119.82 ± 2.680.65
PBG (mmol/L)14.50 ± 4.1215.00 ± 4.110.64
HbA1c (%)9.16 ± 1.709.42 ± 1.590.54
TC (mM)4.38 ± 1.285.57 ± 1.41≤0.01
TG (mM)1.58 ± 1.103.10 ± 1.79≤0.01
LDL-C (mM)2.79 ± 0.833.14 ± 1.140.18
HDL-C (mM)1.13 ± 0.221.00 ± 0.290.06
FCP (pg/mL)2.02 ± 0.672.62 ± 1.11≤0.01
FINS (pmol/ml)8.15 ± 5.0812.24 ± 6.93≤0.01
HOMA-IR3.61 ± 3.105.44 ± 3.270.03

Data were presented as means ± SD, and t-test was applied. The two-tailed value was significant at <0.05. DHS: damp-heat syndrome; BMI: body mass index; FBG: fasting blood glucose; PBG: postprandial plasma glucose; HbA1c: glycosylated hemoglobin; TC: total cholesterol; TG: triglycerides; LDL-C: low-density lipoprotein cholesterol; HDL-C: high-density lipoprotein cholesterol; FCP: fasting c-peptide; FINS: fasting insulin; HOMA-IR: insulin resistance index.