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D Zhang, D A N Jiang, P I N G Ge, P6414
DNA hydroxymethylation combined with carotid plaques as a novel biomarker for coronary atherosclerosis, European Heart Journal, Volume 40, Issue Supplement_1, October 2019, ehz746.1008, https://doi.org/10.1093/eurheartj/ehz746.1008 - Share Icon Share
Abstract
Accumulating evidence has shown the association between DNA methylation and hydroxymethylation and the development of atherosclerosis. However, little is known about the diagnostic value of DNA methylation and hydroxymethylation for coronary atherosclerosis. Carotid plaque has a significant correlation with coronary atherosclerosis, which is a common marker for coronary atherosclerosis.
The major aim of the present study is to determine whether DNA methylation and hydroxymethylation combined with carotid plaques can be useful to the diagnosis of coronary atherosclerosis.
113 patients undergoing carotid ultrasound were enrolled into the study and measured the levels of 5-methylcytosine (5-mC) and 5-hydroxymethylcytosine (5-hmC). Crouse score and Gensini score were used to evaluate the severity of carotid and coronary atherosclerosis, respectively.
With the increasing of severity of carotid plaque and Crouse score, a stepwise upward trend was observed in 5-mC and 5-hmC levels, which were significantly correlated with the risk factors such as FPG and HbA1c levels, Crouse score and Gensini score. Crouse score and 5-hmC, not 5-mC, were the risk factors for coronary atherosclerosis after adjustment for the risk factors. Receiver operating characteristic (ROC) analysis for comparing their diagnostic value for coronary atherosclerosis indicated that 5-hmC combined with Crouse score was the diagnostic biomarker for coronary atherosclerosis, with the highest areas under the curve (AUC), valuable sensitivity and specificity.
Logistic regression analysis
Variables . | Univariate analysis . | Multivariate analysis . | ||
---|---|---|---|---|
. | OR (95% CI) . | P . | OR (95% CI) . | P . |
History of DM | 3.680 (1.645–8.235) | 0.002 | 4.487 (0.227–88.680) | 0.324 |
FPG (mmol/L) | 1.782 (1.219–2.605) | 0.003 | 0.972 (0.307–3.071) | 0.961 |
HbA1c (%) | 1.785 (1.191–2.674) | 0.005 | 2.861 (0.717–11.422) | 0.137 |
TC (mmol/L) | 1.171 (0.913–1.502) | 0.214 | ||
LDL-c (mmol/L) | 1.383 (0.939–2.036) | 0.100 | ||
hs-CRP (mg/L) | 1.099 (1.020–1.184) | 0.014 | 1.268 (1.013–1.588) | 0.038 |
Crouse score | 1.795 (1.445–2.230) | <0.001 | 1.863 (1.053–3.297) | 0.033 |
5-mC (%) | 3.221 (1.851–5.604) | <0.001 | 0.983 (0.386–2.505) | 0.972 |
5-hmC (%) per 0.01% | 1.484 (1.265–1.741) | <0.001 | 1.767 (1.250–2.499) | 0.001 |
Variables . | Univariate analysis . | Multivariate analysis . | ||
---|---|---|---|---|
. | OR (95% CI) . | P . | OR (95% CI) . | P . |
History of DM | 3.680 (1.645–8.235) | 0.002 | 4.487 (0.227–88.680) | 0.324 |
FPG (mmol/L) | 1.782 (1.219–2.605) | 0.003 | 0.972 (0.307–3.071) | 0.961 |
HbA1c (%) | 1.785 (1.191–2.674) | 0.005 | 2.861 (0.717–11.422) | 0.137 |
TC (mmol/L) | 1.171 (0.913–1.502) | 0.214 | ||
LDL-c (mmol/L) | 1.383 (0.939–2.036) | 0.100 | ||
hs-CRP (mg/L) | 1.099 (1.020–1.184) | 0.014 | 1.268 (1.013–1.588) | 0.038 |
Crouse score | 1.795 (1.445–2.230) | <0.001 | 1.863 (1.053–3.297) | 0.033 |
5-mC (%) | 3.221 (1.851–5.604) | <0.001 | 0.983 (0.386–2.505) | 0.972 |
5-hmC (%) per 0.01% | 1.484 (1.265–1.741) | <0.001 | 1.767 (1.250–2.499) | 0.001 |
Logistic regression analysis
Variables . | Univariate analysis . | Multivariate analysis . | ||
---|---|---|---|---|
. | OR (95% CI) . | P . | OR (95% CI) . | P . |
History of DM | 3.680 (1.645–8.235) | 0.002 | 4.487 (0.227–88.680) | 0.324 |
FPG (mmol/L) | 1.782 (1.219–2.605) | 0.003 | 0.972 (0.307–3.071) | 0.961 |
HbA1c (%) | 1.785 (1.191–2.674) | 0.005 | 2.861 (0.717–11.422) | 0.137 |
TC (mmol/L) | 1.171 (0.913–1.502) | 0.214 | ||
LDL-c (mmol/L) | 1.383 (0.939–2.036) | 0.100 | ||
hs-CRP (mg/L) | 1.099 (1.020–1.184) | 0.014 | 1.268 (1.013–1.588) | 0.038 |
Crouse score | 1.795 (1.445–2.230) | <0.001 | 1.863 (1.053–3.297) | 0.033 |
5-mC (%) | 3.221 (1.851–5.604) | <0.001 | 0.983 (0.386–2.505) | 0.972 |
5-hmC (%) per 0.01% | 1.484 (1.265–1.741) | <0.001 | 1.767 (1.250–2.499) | 0.001 |
Variables . | Univariate analysis . | Multivariate analysis . | ||
---|---|---|---|---|
. | OR (95% CI) . | P . | OR (95% CI) . | P . |
History of DM | 3.680 (1.645–8.235) | 0.002 | 4.487 (0.227–88.680) | 0.324 |
FPG (mmol/L) | 1.782 (1.219–2.605) | 0.003 | 0.972 (0.307–3.071) | 0.961 |
HbA1c (%) | 1.785 (1.191–2.674) | 0.005 | 2.861 (0.717–11.422) | 0.137 |
TC (mmol/L) | 1.171 (0.913–1.502) | 0.214 | ||
LDL-c (mmol/L) | 1.383 (0.939–2.036) | 0.100 | ||
hs-CRP (mg/L) | 1.099 (1.020–1.184) | 0.014 | 1.268 (1.013–1.588) | 0.038 |
Crouse score | 1.795 (1.445–2.230) | <0.001 | 1.863 (1.053–3.297) | 0.033 |
5-mC (%) | 3.221 (1.851–5.604) | <0.001 | 0.983 (0.386–2.505) | 0.972 |
5-hmC (%) per 0.01% | 1.484 (1.265–1.741) | <0.001 | 1.767 (1.250–2.499) | 0.001 |
These findings suggest 5-hmC level combined with Crouse score may provide the meaningful information for coronary atherosclerosis diagnosis.
National Natural Science Foundation of China (No.81570212, No.31800976)