. 2017 May;155:228–234. doi: 10.1016/j.envres.2017.02.014

Table 3.

Association between PM exposure (data from personal sampler) and different classes of Extracellular Vesicles (EV). Linear regression models after log transformation of both PM exposure and outcomes.

		PM₁₀from personal samplers						PM_2.5from personal samplers
		Univariate regression			Multivariate regression^a			Univariate regression			Multivariate regression^a
Exosomes and MV characteristics		GMR	(95% CI)	p	GMR	(95% CI)	p	GMR	(95% CI)	p	GMR	(95% CI)	p
EV count^b (10⁶/ml PL)	Total EV	1.13	(0.76, 1.69)	0.53	1.05	(0.7, 1.57)	0.83	1.17	(0.81, 1.69)	0.39	1.05	(0.72, 1.55)	0.78
	Exosomes	0.89	(0.38, 2.1)	0.79	0.60	(0.26, 1.39)	0.23	0.97	(0.44, 2.13)	0.93	0.58	(0.26, 1.29)	0.18
	MV	1.21	(0.83, 1.75)	0.31	1.18	(0.8, 1.75)	0.40	1.24	(0.88, 1.74)	0.22	1.20	(0.83, 1.74)	0.33

MV subtypes^c (10³/ml PL)	MV_CD61+(platelets)	1.58	(0.43, 5.78)	0.48	1.49	(0.35, 6.33)	0.58	1.62	(0.49, 5.34)	0.42	1.52	(0.39, 5.98)	0.54
	MV_CD66+(neutrophils)	1.56	(0.49, 5.00)	0.45	1.89	(0.54, 6.61)	0.31	1.55	(0.53, 4.53)	0.42	1.91	(0.58, 6.24)	0.28
	MV_EpCAM+(epithelium)	1.64	(0.68, 3.95)	0.26	1.86	(0.71, 4.91)	0.20	1.47	(0.65, 3.32)	0.34	1.67	(0.66, 4.21)	0.27
	MV_CD105+(endothelium)	3.10	(1.29, 7.46)	0.01	3.47	(1.3, 9.27)	0.01	2.88	(1.28, 6.45)	0.01	3.14	(1.23, 8.02)	0.02
	MV_CD14+(macr./monoc.)	2.54	(0.82, 7.9)	0.11	3.45	(1, 11.94)	0.05	2.49	(0.88, 7.06)	0.09	3.70	(1.16, 11.86)	0.03

GMR, Geometric Mean Ratio.

Linear regression model adjusted for age, gender, BMI, and smoking habit (never, former, current smoker); PM₁₀/PM_2.5 values missing for 1 record.

Counts of EV fractions obtained by Nanosight analysis.

Counts of MV subtypes obtained by flow cytometry.