Accelerated DNA methylation age plays a role in the impact of cardiovascular risk factors on the human heart

Topriceanu, Constantin-Cristian; Dev, Eesha; Ahmad, Mahmood; Hughes, Rebecca; Shiwani, Hunain; Webber, Matthew; Direk, Kenan; Wong, Andrew; Ugander, Martin; Moon, James C.; Hughes, Alun D.; Maddock, Jane; Schlegel, Todd T.; Captur, Gabriella

doi:10.1186/s13148-023-01576-9

Clinical Epigenetics

Table 4 The association between CV risk factors and A-ECG disease scores and the role of DNAm AgeAccel as a mediator of these relationships

From: Accelerated DNA methylation age plays a role in the impact of cardiovascular risk factors on the human heart

A-ECG disease scores	Model	Effect type	Body Mass Index		Diabetes		High cholesterol		Hypertension		Cardiovascular disease		Any CV risk factor
A-ECG disease scores	Model	Effect type	β (95% CI)	p-value	β (95% CI)	p value	β (95% CI)	p-value	β (95% CI)	p value	β (95% CI)	p value	β (95% CI)	p value
LVSD	M1	Total	− 0.06 (− 0.11, − 0.01)	0.010	− 0.25 (0.74, 0.17)	0.284	− 0.42 (− 0.92, 0.01)	0.058	− 0.28 (− 0.63, 0.06)	0.116	− 0.48 (− 1.29, 0.24)	0.184	− 0.26 (− 0.65, 0.08)	0.170
	M2 (AgeAccelHannum)	ACME	0.00 (− 0.00, 0.00)	0.950	− 0.00 (− 0.04, 0.02)	0.860	− 0.00 (− 0.04, 0.03)	0.882	− 0.01 (− 0.05, 0.02)	0.690	0.01 (− 0.06, 0.08)	0.900	− 0.01 (− 0.06, 0.03)	0.670
	M2 (AgeAccelHannum)	ADE	− 0.06 (− 0.11, − 0.01)	0.010	− 0.25 (0.74, 0.18)	0.280	− 0.42 (− 0.92, 0.01)	0.058	− 0.27 (− 0.66, 0.07)	0.130	− 0.49 (− 1.29, 0.26)	0.180	− 0.25 (− 0.65, 0.11)	0.180
	M3 (AgeAccelHorvath)	ACME	− 0.00 (− 0.01, 0.00)	0.282	− 0.01 (− 0.07, 0.03)	0.820	− 0.01 (− 0.07, 0.08)	0.902	− 0.03 (− 0.09, 0.01)	0.140	− 0.02 (− 0.13, 0.06)	0.680	− 0.04 (− 0.13, 0.01)	0.170
	M3 (AgeAccelHorvath)	ADE	− 0.06 (− 0.11, − 0.01)	0.024	− 0.24 (− 0.74, 0.18)	0.290	− 0.41 (− 0.93, 0.01)	0.064	− 0.25 (− 0.63, 0.09)	0.160	− 0.46 (− 1.29, 0.30)	0.220	− 0.22 (− 0.62, 0.14)	0.250
	M4 (AgeAccelPheno)	ACME	− 0.01 (− 0.02, − 0.00)	0.046	− 0.07 (− 0.18, − 0.01)	0.034	− 0.09 (− 0.20, − 0.01)	0.018	− 0.03 (− 0.09, 0.03)	0.300	− 0.08 (− 0.26, 0.02)	0.140	− 0.06 (− 0.14, − 0.01)	0.024
	M4 (AgeAccelPheno)	ADE	− 0.05 (− 0.10, 0.00)	0.056	− 0.18 (− 0.66, 0.24)	0.426	− 0.33 (− 0.84, 0.10)	0.140	− 0.25 (− 0.63, 0.07)	0.140	− 0.40 (− 1.21, 0.3(	0.300	− 0.20 (− 0.60, 0.15)	0.266
	M5 (AgeAccelGrim)	ACME	− 0.01 (− 0.03, − 0.01)	0.016	− 0.11 (− 0.26, − 0.01)	0.014	− 0.18 (− 0.33, − 0.06)	0.002	− 0.12 (− 0.24, − 0.03)	0.006	− 0.12 (− 0.32, 0.02)	0.094	− 0.19 (− 0.33, − 0.07)	< 2e−16
	M5 (AgeAccelGrim)	ADE	− 0.05 (− 0.09, − 0.01)	0.046	− 0.14 (− 0.61, 0.27)	0.520	− 0.24 (− 0.72, 0.17)	0.252	− 0.16 (− 0.53, 0.16)	0.334	− 0.36 (− 1.11, 0.35)	0.314	− 0.07 (− 0.48, 0.28)	0.710
LVER	M1	Total	− 0.28 (− 0.48, − 0.09)	0.004	− 1.34 (− 3.25, 0.44)	0.120	− 1.76 (− 3.85, − 0.16)	0.048	− 1.21 (− 2.52, 0.10)	0.082	− 2.75 (− 5.82, − 0.23)	0.036	− 1.61 (− 2.95, − 0.41)	0.004
	M2 (AgeAccelHannum)	ACME	0.00 (− 0.01, 0.010	0.918	− 0.01 (− 0.17, 0.09)	0.820	− 0.00 (− 0.18, 0.11)	0.866	− 0.03 (− 0.21, 0.06)	0.598	0.05 (− 0.21, 0.31)	0.800	− 0.04 (− 0.25, 0.09)	0.544
	M2 (AgeAccelHannum)	ADE	− 0.28 (− 0.48, − 0.09)	0.002	− 1.33 (− 3.25, 0.42)	0.120	− 0.18 (− 3.85, 0.14)	0.074	− 1.18 (− 2.49, 0.17)	0.090	− 2.80 (− 5.86, − 0.20)	0.032	− 1.57 (− 2.82, − 0.35)	0.006
	M3 (AgeAccelHorvath)	ACME	− 0.02 (− 0.05, 0.01)	0.174	− 0.02 (− 0.28, 0.13)	0.790	− 0.03 (− 0.28, 0.29)	0.884	− 0.13 (− 0.38, 0.03)	0.124	− 0.10 (− 0.47, 0.24)	0.650	− 0.18 (− 0.47, 0.03)	0.106
	M3 (AgeAccelHorvath)	ADE	− 0.26 (− 0.47, − 0.09)	0.006	− 1.32 (− 3.16, 0.47)	0.130	− 1.73 (− 3.84, 0.18)	0.084	− 1.08 (− 2.45, 0.25)	0.118	− 2.65 (− 5.89, − 0.01)	0.049	− 1.43 (− 2.75, − 0.22)	0.008
	M4 (AgeAccelPheno)	ACME	− 0.04 (− 0.09, − 0.00)	0.049	− 0.23 (− 0.58, − 0.01)	0.042	− 0.29 (− 0.73, 0.01)	0.054	− 0.11 (− 0.33, 0.10)	0.300	− 0.26 (− 0.88, 0.09)	0.172	− 0.22 (− 0.50, − 0.02)	0.030
	M4 (AgeAccelPheno)	ADE	− 0.24 (− 0.45, − 0.04)	0.018	− 1.11 (− 3.0, 0.71)	0.214	− 1.47 (− 3.67, 0.48)	0.152	− 1.10 (− 2.41, 0.25)	0.096	− 2.49 (− 5.70, 0.36)	0.080	− 1.39 (− 2.68, − 0.26)	0.012
	M5 (AgeAccelGrim)	ACME	− 0.04 (− 0.09, − 0.01)	0.010	− 0.36 (− 0.87, − 0.02)	0.018	− 0.62 (− 1.20, − 0.15)	0.008	− 0.37 (− 0.77, − 0.07)	0.012	− 0.38 (− 1.12, 0.06)	0.110	− 0.56 (− 1.09, − 0.10)	0.004
	M5 (AgeAccelGrim)	ADE	− 0.24 (− 0.42, − 0.05)	0.008	− 0.98 (− 2.84, 0.68)	0.252	− 1.14 (− 3.15, 0.68)	0.244	− 0.84 (− 2.12, 0.51)	0.188	− 2.37 (− 5.22, 0.20)	0.068	− 1.05 (− 2.37, 0.13)	0.082

All reported analyses consisted of generalized linear models with Gaussian distributions and identity links. Significant p-values are in bold
M1 aimed to evaluate the total effects, and was adjusted for chronological age, sex, SEP (as a binary variable: manual and non-manual), smoking status (as current smoker, ex-smoker and never-smoked), alcohol consumption (as the average number of alcohol units drank per day), physical activity status (as active or inactive) and white cell counts (i.e., naïve and exhausted CD8+ T-lymphocytes, CD4+ T-lymphocytes, B-cells, natural killer cells, granulocytes, and monocytes). Compared to M1, M2 was in addition adjusted for AgeAccelHannum, M3 for AgeAccelHorvath, M4 for AgeAccelPheno and M5 for AgeAccelGrim. Abbreviations as in Table 3

Back to article page

ISSN: 1868-7083

Contact us

Submission enquiries: avalyn.villar@springernature.com
General enquiries: info@biomedcentral.com