Ex vivo response to mucosal bacteria and muramyl dipeptide in inflammatory bowel disease

Table 1 Characteristics of patients included in the study

Patients (n = 56)		Age (yr) (mean ± SD)	Male/female	Active/remission
IBD (n = 48)	CD (n = 26)	11 ± 3.08	16/10	23/3
	UC (n = 22)	15 ± 3.88	12/10	15/7
CONTROLS (n = 8)	HC (n = 8)	10 ± 4.60	4/4	-

IBD: Inflammatory bowel disease; CD: Crohn’s disease; UC: Ulcerative colitis; HC: Healthy controls.

Table 2 Multivariate logistic model for inflammatory bowel disease patients vs healthy controls in the presence of antibiotics and without muramyl dipeptide stimulation

Variables	OR	95%CI	P value	Regression coefficients
IL2	1.553421	1.011162-2.386481	0.044	0.440460
IL4	0.473238	0.228780-0.978906	0.044	-0.748157
IL8	1.000267	1.000030-1.000504	0.027	0.000267
Constant	0.065259	0.003533-1.205600	0.067	-2.729393

Table 3 Multivariate logistic model for inflammatory bowel disease patients vs healthy controls in the presence of antibiotics and muramyl dipeptide stimulation

Variables	OR	95%CI	P value	Regression coefficients
MCP1	0.997248	0.995067-0.999434	0.014	-0.0027555
IL8	1.000094	1.000019-1.000170	0.014	0.0000944
IL10	1.098966	1.009008-1.196944	0.030	0.0943694
Constant	0.529026	0.108222-2.586054	0.432	-0.636717

Table 4 Multivariate logistic model for Crohn’s disease vs ulcerative colitis in the presence of antibiotics and muramyl dipeptide stimulation

Variables	OR	95%CI	P value	Regression coefficients
G-CSF	0.999703	0.999484-0.999921	0.008	-0.0002975
TNFα	0.990492	0.981420-0.999649	0.042	-0.0095533
IL4	1.155281	1.012918-1.317651	0.031	0.1443433
IL17	1.009361	1.000308-1.018497	0.043	0.0093177
Constant	1.043247	0.333344-3.264992	0.924	0.042338