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Table 1 Clinical characteristics of the human samples

From: Gut bacterial ClpB-like gene function is associated with decreased body weight and a characteristic microbiota profile

 Without obesityWith obesity 
 (n = 55)(n = 76)p value
Females n (%)37 (67.3)52 (68.4)0.519
Age (years)53.7 [17.4]48.6 [15.7]0.188
BMI (kg/m2)24.9 (2.5)43.2 (6.8)< 0.001
Waist (cm)89.7 (9.6)126.2 (14.1)< 0.001
Fat total (%)32.5 (7.5)49.6 (5.6)< 0.001
Android fat (%)32.6 (10.5)56.5 (5.4)< 0.001
Gynoid fat mass (%)37.5 [15.6]50.6 [8.7]< 0.001
SBP (mmHg)124.0 (16.1)139.2 (19.3)< 0.001
DBP (mmHg)71.1 (11.0)78.0 (10.9)0.001
Glucose (mg/dL)95.0 [13.0]96.0 [13.5]0.284
HbA1c (%)5.5 (0.3)5.6 (0.3)0.016
Cholesterol (mg/dL)200.0 [48.0]183.5 [57.0]0.043
LDL-cholesterol (mg/dL)119.0 [48.0]112.0 [58.8]0.634
HDL-cholesterol (mg/dL)63.9 (17.5)53.5 (12.0)0.005
Triglycerides (mg/dL)79.0 [39.0]111.5 [75.0]< 0.001
hsCRP (mg/dL)0.7 [0.9]4.9 [7.2]< 0.001
K03695 (AU)1.6 × 10−1 (3.0 × 10−2)1.4 × 10−1 (2.4 × 10−2)8.0 × 10−6
  1. Results are expressed as number and frequencies for categorical variables, mean and standard deviation (SD) for normal distributed continuous variables, and median and interquartile range [IQR] for non-normal distributed continuous variables. To determine differences between study groups, we used χ2 for categorical variables, unpaired Student’s t test in normal quantitative, and Mann-Whitney U test for non-normal quantitative variables. BMI body mass index, SBP systolic blood pressure, DBP diastolic blood pressure, HbA1c glycated hemoglobin, LDL low density lipoprotein, HDL high density lipoprotein, hsCRP high-sensitive C-reactive protein, AU arbitrary units