Table 3.

Mixed effects^† models predicting pain threshold by Wagner Algometer (log transform)

Hierarchical regression analyses of fibroblast measures (independent variables) predicting log transform pain threshold by Wagner^™ Algometer (dependent variable). N=16.

(β = beta coefficient; SE_β = standard error of beta coefficient; t = Student’s t test; P = probability; AICC = Akaike Information Criterion)

Model	Independent Variables	N=16 Strains			P	AICC¥
		3‡	SEβ	t
C. albicans stimulus of PGE2 pathway
1	Fibroblast=> PGE2 post C. albicans	−0.38	0.08	−4.76	0.002	29.7
2	Fibroblast=> PGE2 post C. albicans	−0.38	0.08	−4.56	0.004	33.3
	Fibroblast Cox-2(+)count in situ	0.001	0.006	0.26	ns
C. glabrata stimulus of PGE2 pathway
1	fibroblast=> PGE2 post C. glabrata	−0.36	0.08	−4.57	0.003	30.5
2	fibroblast=> PGE2 post C. glabrata	−0.38	0.08	−4.39	0.005	33.9
	Fibroblast Cox-2(+)count in situ	0.002	0.006	0.40	ns
C. albicans stimulus of IL-6 pathway
1	Fibroblast=> IL-6 post C. albicans	−0.18	0.05	−3.86	0.006	33.3
2	Fibroblast=> IL-6 post C. albicans	−0.19	0.08	−2.46	0.05	36.9
	Fibroblast IL-6(+)count in situ	0.004	0.11	0.04	ns
C. glabrata stimulus of IL-6 pathway
1	fibroblast=> IL-6 post C. glabrata	−0.18	0.05	−3.41	0.01	35.1
2	fibroblast=> IL-6 post C. glabrata	−0.14	0.07	−2.11	ns	38.1
	Fibroblast IL-6(+)count in situ	−0.076	0.10	−0.79	ns
Quantified IHC(+) measures alone
1	Fibroblast Cox-2(+)count in situ	−0.007	0.008	−0.88	ns	46.5
1	Fibroblast IL-6(+)count in situ	−0.21	0.08	−2.54	0.04	38.4

^†Mixed effects adjusting for sampling two sites of same subject

^‡Beta coefficient PGE2 and IL-6 expressed in ng/ml

^¥Akaike Information Criterion