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. 2022 Jul 19;3(7):100676. doi: 10.1016/j.xcrm.2022.100676

Table 4.

Relationships between biomarkers and change in common carotid IMT

Correlation p p adjusted Regression (n = 181) No change (n = 379) Progression (n = 299)
Inflammatory

hsCRP (mg/L) 0.00 0.98 0.95 1.20 (0.66–2.40) 1.30 (0.62–2.90) 1.37 (0.70–2.59)
IL-6 0.01 0.84 0.74 38.6 (24.3–58.7) 34.3 (23.0–53.0) 35.8 (24.3–55.4)
MCP-1 0.00 0.92 0.85 12.7 (9.4–16.3) 11.5 (8.9–15.1) 12.0 (9.0–15.5)
MIP-1α 0.04 0.25 0.34 4.86 (3.86–5.80) 4.76 (4.00–5.74) 4.69 (3.95–5.82)

Matrix proteases

MMP-3 −0.03 0.41 0.28 2.59 (2.01–3.16) 2.33 (1.87–3.04) 2.46 (1.93–3.23)
MMP-7 0.08 0.03 0.07 413 (256–676) 434 (305–650) 448 (309–657)
MMP-12 −0.02 0.60 0.74 133 (98–202) 140 (101–201) 137 (94–205)

Apoptosis

TNFR-1 −0.06 0.07 0.07 6,562 (5,349–8,079) 6,383 (5,113–7,899) 6,165 (5,113–7,630)
TRAILR-2 −0.12 0.001 0.004 3.76 (2.86–4.87)a 3.27 (2.22–4.35) 3.07 (2.45–4.14)
Fas −0.05 0.16 0.09 209 (172–260) 204 (169–244) 206 (169–260)

SMC growth factors

PDGF 0.10 0.005 0.25 94.4 (42.6–204.4)a 145.0 (65.3–249.0) 146.5 (65.8–240.5)
EGF 0.04 0.28 0.70 47.2 (16.7–108.8) 54.0 (23.3–111.4) 53.4 (20.4–104.7)
HBEGF 0.07 0.05 0.41 24.1 (19.0–32.8) 25.4 (20.9–32.7) 25.8 (21.0–33.6)

EC growth factors

HGF 0.00 0.99 0.88 111 (89–139) 108 (87–133) 107 (87–136)
PlGF −0.06 0.07 0.06 184 (146–232) 171 (142–211) 169 (139–219)
VEGF −0.02 0.54 0.48 1,468 (1,193–1,820) 1,448 (1,123–1,820) 1,389 (1,105–1,758)

All biomarkers except hsCRP are expressed as arbitrary units, and values are shown as median and IQR. Correlations are shown as Spearman correlation coefficients. Linear regression models were used to adjust correlations for age, gender, smoking, LDL cholesterol, and baseline CCA IMT (p adjusted). Differences between IMT change categories (regression and progression versus no change) were calculated with one-way ANOVA and Scheffe’s post hoc test. If correcting for multiple comparisons in the present table, the threshold for significance is p < 0.004.

a

p < 0.01.