# Positive Association of Plasma Trimethylamine-N-Oxide and Atherosclerosis in Patient with Acute Coronary Syndrome

Authors: Wanwen Kong; Junyi Ma; Ying Lin; Weiyu Chen
Journal: Cardiovascular Therapeutics
 (2022)

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## Abstract

Aim. Atherosclerosis is the major cause of acute coronary syndrome (ACS) which is a significant contributor to both morbidity and mortality in the world. The microbiome-derived metabolite trimethylamine-N-oxide (TMAO) has aroused great interest and controversy as a risk factor of atherosclerosis. Therefore, in this study, we aimed at investigating whether plasma TMAO can be a risk factor of atherosclerosis in coronary artery of patients with ACS and how this relates to lipids and proinflammatory cytokines in plasma. Methods. We enrolled consecutive patients with ACS who underwent percutaneous coronary intervention (PCI). Gensini scoring was used to evaluate angiographic atherosclerosis in the coronary artery of the patients. 13 patients were divided into low (Gensiniscore<25), 33 into intermediate (Gensini score 25-50), and 81 into severe atherosclerosis (Gensini score ≥50). Plasma TMAO, vasculitis factors, and cardiovascular biomarkers were measured by clinical biochemistry, intima-media thickness (IMT) of carotid artery was determined by the Color Doppler ultrasound, and the atherosclerotic lesion in coronary artery was assessed in PCI. Results. Plasma TMAO concentrations were positively associated with Gensini score (OR=0.629, p<0.001) and Gensini subgroup (R=0.604, p<0.001). Plasma TMAO concentrations in patients with severe coronary atherosclerosis were higher than those of patients with moderate coronary atherosclerosis, and the plasma TMAO concentrations of patients with moderate coronary atherosclerosis were higher than those of patients with mild coronary atherosclerosis, the difference was statistically significant [4.73 (3.13, 4.62) versus 1.13 (0.63, 3.34) versus 0.79 (0.20, 1.29), p<0.001], respectively. Furthermore, ROC analysis showed that plasma TMAO could identify the severity of atherosclerosis (p<0.001). The AUC of TMAO for severe atherosclerosis was 0.852 (95%CI=0.779−0.925). The sensitivity and specificity of TMAO for identifying severe atherosclerosis are 96.3% and 63.0% when the cut-off value of TMAO was set at 1.2715 pg/ml. Furthermore, logistic regression analysis showed plasma TMAO concentrations were positively associated with severity of atherosclerosis in coronary artery (OR=1.934, 95%CI=1.522−2.459, p<0.001). For all that, negatively association was observed between TMAO and age (OR=−0.224, p<0.05), B-type natriuretic peptide (BNP) (OR=−0.175, p<0.05), and interleukin-8 (IL-8) (OR=−0.324, p<0.001), while positive association was observed between TMAO and nitric oxide (NO) (OR=0.234, p<0.01). However, there is no obvious association was observed between Gensini score and cardiovascular biomarkers, vasculitis factors, and carotid IMT, respectively. Conclusion. Our cross-sectional observation suggested that plasma TMAO concentrations positively associated with coronary atherosclerosis in ACS patients and serve as a risk factor for severe atherosclerosis. Plasma TMAO also correlated with age, BNP, IL-8, and NO. However, no obvious association was found between atherosclerosis with vasculitis factors and cardiovascular biomarkers in this study, and there was no conclusive evidence showing TMAO enhance atherosclerosis via regulation of inflammation or lipid.


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## Body

## 1. Introduction

Acute coronary syndromes (ACS) are acute ischemic syndromes characterized by fresh thrombosis caused by the rupture or erosion of coronary atherosclerotic plaques. ACS is an acute and critical disease of coronary heart disease (CHD). ACS includes acute ST elevation myocardial infarction (STEMI), non-ST elevation myocardial infarction (NSTEMI), and unstable angina (UA). Atherosclerosis is the major cause of CHD [1]. Smoking, hypertension, diabetes, hyperlipidemia, inflammation, and other risk factors have shown to increase the risk of atherosclerosis [2]. And clinical studies have shown that treatment specific to reduce these risk factors, such as quitting smoking, lowering blood pressure, lowering blood sugar, lowering blood lipids, and anti-inflammatory intervention, can alleviate atherosclerosis. However, with treatment targeting to these risk factors, patients with ACS after PCI still have a high mortality rate [3]. With standard treatment and management of those risk factors, the incidence of adverse cardiovascular events in patients with acute myocardial infarction is still as high as about 7% [4]. Therefore, there may be other risk factors which contribute to the process and development of atherosclerosis in coronary artery. Identifying these unknown risk factors of atherosclerosis is significantly important to provide therapeutic guidelines for coronary atherosclerosis, thereby reducing incidence, morbidity, and mortality of CHD.Recent studies have shown that intestinal flora and its metabolites affect human health and the occurrence of cardiovascular diseases, e.g., CHD, heart failure, hypertension, and atrial fibrillation [5]. When the intestinal flora metabolizes choline and lecithin, it produces trimethylamine (TMA). After TMA is absorbed into the blood, it is catalyzed and oxidized by liver flavin monooxygenase (FMO) to produce a metabolite called trimethylamine-oxide (TMAO). TMAO was significantly correlated with CHD. Tang et al., conducted a 3-year prospective cohort study with 4007 participants and reported that participants with high plasma TMAO concentrations had higher incidence rate of atherosclerosis than those with low plasma TMAO concentrations [6]. The mechanism of TMAO promoting atherosclerosis may be through affecting lipid metabolism and endothelial function [7]. Consistent with the underlying mechanism proposed by Tang et al., other clinical studies have shown that TMAO enhances cholesterol loading in macrophages and promotes the formation of atherosclerotic plaque via regulation on cholesterol metabolism [8]. TMAO can also elevate the expression of atherogenic receptors (differentiation cluster 36 and scavenger receptor A) and increase the risk of atherosclerotic plaque formation [9]. TMAO is also reported to promote the release of a range of inflammatory factors, e.g., interleukin-8 (IL-8) and endothelin-1 (ET-1), which can lead to vascular endothelial damage and resulting atherosclerosis [10].Therefore, in addition to the traditional CHD risk factors, TMAO may play a role as a potential risk factor in the development of coronary atherosclerotic plaques as well as CHD. However, the relationship between TMAO and ACS by coronary angiography has not been established. In this study, we measured plasma concentrations of TMAO, analyzed the cross-sectional relationship between TMAO and ACS risk by coronary angiography, and reported a positively association between plasma TMAO concentrations and atherosclerosis in coronary artery of ACS.


### 1.1. Study Design and Population

This cross-sectional study was based on the case data obtained from the patients with ACS recruited in the Shunde Hospital of Guangzhou University of Traditional Chinese Medicine. The study was approved by the Research Ethics Committee of Shunde Hospital of Guangzhou University of Traditional Chinese Medicine (Protocol: KY-2020113). In brief, this cross-sectional study is aimed at identifying the risk factors of patients with ACS after PCI by evaluation and analysis of the corresponding clinical outcomes. This cross-sectional study included patients with ACS who underwent PCI at Shunde Hospital of Guangzhou University of Traditional Chinese Medicine from May 2021 to March 2022. Blood and plasma samples, biochemical data, clinical characteristics, coronary angiography, demographic data, electrocardiogram data, risk factors, and PCI procedures were collected and recorded in lab archives managed by the Shunde Hospital. A total of 144 patients with ACS underwent PCI were recruited initially. 17 were excluded due to the Gensini score data not being available or presence of acute infection, acute renal failure, or hepatic failure. Eventually, 127 patients were included in this study, with 94 males and 33 females. There were 40 diabetic and 87 nondiabetic patients.


### 1.2. The Diagnosis of Acute Coronary Syndrome

According to the guidelines for Rapid Emergency Diagnosis and Treatment of Acute Coronary Syndrome (2019): (1) ST-elevation myocardial infarction (STEMI); cTn>99th upper normal reference value (ULN) or CK-MB>99th. In the ULN, the echocardiography (ECG) has an elevated ST arch back, with one or more of the following conditions: persistent ischemic chest pain, ECG showing abnormal segmental ventricular wall motion, and abnormal coronary angiography. (2) non-ST-elevation myocardial infarction (NSTEMI): cTn>99th ULN or CK-MB>99th ULN, along with one or more of the following conditions: persistent ischemic chest pain; ECG findings of new ST segment depression or T wave flattening, inversion; ECG showing abnormal segmental ventricular wall activity; and abnormal coronary angiography. (3) cTn negative, ischemic chest pain, ECG presented with transient ST segment depression or T wave low flat, inversion, and rare ST segment elevation (vasospasm angina pectoris).


### 1.3. Assessment of Coronary Angiography

All enrolled ACS patients underwent coronary angiography (CAG) with Philips Azurion, and then the degree of coronary narrowing was analyzed by two interventional physicians. According to the CAG results, the atherosclerosis of ACS was evaluated by two independent senior cardiologists applying the Gensini scoring system. ACS coronary artery stenosis degree and scoring of coronary artery lesion size were as followed:narrowing≤25% contributed to 1 point, 26≤narrowing≤50% contributed to 2 points, 51≤narrowing≤75% contributed to 4 points, 76≤narrowing≤90% contributed to 8 points, 91≤narrowing≤99% contributed to 16 points, and complete occlusion contributed to 32 points. Next, each lesion score was multiplied by a factor that indicates the importance of the location of the lesion in the coronary circulation. The factor for the location of main left coronary artery was 5, the proximal segment of the anterior descending branch of the left coronary artery was 2.5, the proximal segment of the circumflex branch was 2.5, the middle segment of the anterior descending branch of the left coronary artery was 1.5, the right coronary artery was 1.0, the distal end of the anterior descending branch of the left coronary artery, the posterolateral artery and the obtuse artery, and the other segments were 0.5. At the end, Gensini score was calculated by the sum of each coronary segment score [11, 12]. The patients were categorized into three groups: 13 into the low (Gensiniscore<25points), 33 into intermediate (Gensini score 25-50 points), and 81 into high Gensini tertile (Gensiniscore≥50points) [13].


### 1.4. Laboratory Measurement and Index Calculation

Blood and plasma samples were taken immediately after admission. Cardiovascular biomarkers, including hydroxybutyrate dehydrogenase (HBDH), lactate dehydrogenase (LDH), creatine kinase (CK), creatine kinase myocardial band (CK-MB), cholesterol (CHOL), low-density lipoprotein cholesterol (LDL-C), triglyceride (TG) and creatinine (Cr), and vasculitis factors, including NO, endothelin-1 (ET-1), IL-8, and NO, were measured by the pathological laboratory of Shunde Hospital of Guangzhou University of Traditional Chinese Medicine. Plasma TMAO was measured using a double-antibody sandwich enzyme-linked immunosorbent test (ELISA, RX103049H, Ruixin Biotechnology, Quanzhou, China) and experiment was performed by Guangzhou Weijia Technology. Carotid IMT was measured by the Color Doppler (Philips epiq7c).


### 1.5. Statistical Analyses

Values of continuous variables were presented as medians with interquartile range (IQR). Kruskal-Wallis analysis of variance on ranks was used for comparisons of the three Gensini subgroups. Categorical variables were presented as numbers and percentages. The multivariate nonconditional logistic regression was used to analyze the correlation between Gensini score and vasculitis factors and cardiovascular biomarkers, the linear regression was used for the trend test. The Spearman correlation analysis was used between Gensini score and vasculitis factors and cardiovascular biomarkers levels in ACS patients. The multivariate logistic analysis was used to analyze the risk factors of atherosclerosis; the receiver operating curve (ROC) was used to analyze the value of TMAO in the prediction of ACS [14]. Statistical Package for the Social sciences (SPSS) 25.0 was used for all the analyses. A p value of <0.05 was considered statistically significant.


## 1.1. Study Design and Population

This cross-sectional study was based on the case data obtained from the patients with ACS recruited in the Shunde Hospital of Guangzhou University of Traditional Chinese Medicine. The study was approved by the Research Ethics Committee of Shunde Hospital of Guangzhou University of Traditional Chinese Medicine (Protocol: KY-2020113). In brief, this cross-sectional study is aimed at identifying the risk factors of patients with ACS after PCI by evaluation and analysis of the corresponding clinical outcomes. This cross-sectional study included patients with ACS who underwent PCI at Shunde Hospital of Guangzhou University of Traditional Chinese Medicine from May 2021 to March 2022. Blood and plasma samples, biochemical data, clinical characteristics, coronary angiography, demographic data, electrocardiogram data, risk factors, and PCI procedures were collected and recorded in lab archives managed by the Shunde Hospital. A total of 144 patients with ACS underwent PCI were recruited initially. 17 were excluded due to the Gensini score data not being available or presence of acute infection, acute renal failure, or hepatic failure. Eventually, 127 patients were included in this study, with 94 males and 33 females. There were 40 diabetic and 87 nondiabetic patients.


## 1.2. The Diagnosis of Acute Coronary Syndrome

According to the guidelines for Rapid Emergency Diagnosis and Treatment of Acute Coronary Syndrome (2019): (1) ST-elevation myocardial infarction (STEMI); cTn>99th upper normal reference value (ULN) or CK-MB>99th. In the ULN, the echocardiography (ECG) has an elevated ST arch back, with one or more of the following conditions: persistent ischemic chest pain, ECG showing abnormal segmental ventricular wall motion, and abnormal coronary angiography. (2) non-ST-elevation myocardial infarction (NSTEMI): cTn>99th ULN or CK-MB>99th ULN, along with one or more of the following conditions: persistent ischemic chest pain; ECG findings of new ST segment depression or T wave flattening, inversion; ECG showing abnormal segmental ventricular wall activity; and abnormal coronary angiography. (3) cTn negative, ischemic chest pain, ECG presented with transient ST segment depression or T wave low flat, inversion, and rare ST segment elevation (vasospasm angina pectoris).


## 1.3. Assessment of Coronary Angiography

All enrolled ACS patients underwent coronary angiography (CAG) with Philips Azurion, and then the degree of coronary narrowing was analyzed by two interventional physicians. According to the CAG results, the atherosclerosis of ACS was evaluated by two independent senior cardiologists applying the Gensini scoring system. ACS coronary artery stenosis degree and scoring of coronary artery lesion size were as followed:narrowing≤25% contributed to 1 point, 26≤narrowing≤50% contributed to 2 points, 51≤narrowing≤75% contributed to 4 points, 76≤narrowing≤90% contributed to 8 points, 91≤narrowing≤99% contributed to 16 points, and complete occlusion contributed to 32 points. Next, each lesion score was multiplied by a factor that indicates the importance of the location of the lesion in the coronary circulation. The factor for the location of main left coronary artery was 5, the proximal segment of the anterior descending branch of the left coronary artery was 2.5, the proximal segment of the circumflex branch was 2.5, the middle segment of the anterior descending branch of the left coronary artery was 1.5, the right coronary artery was 1.0, the distal end of the anterior descending branch of the left coronary artery, the posterolateral artery and the obtuse artery, and the other segments were 0.5. At the end, Gensini score was calculated by the sum of each coronary segment score [11, 12]. The patients were categorized into three groups: 13 into the low (Gensiniscore<25points), 33 into intermediate (Gensini score 25-50 points), and 81 into high Gensini tertile (Gensiniscore≥50points) [13].


## 1.4. Laboratory Measurement and Index Calculation

Blood and plasma samples were taken immediately after admission. Cardiovascular biomarkers, including hydroxybutyrate dehydrogenase (HBDH), lactate dehydrogenase (LDH), creatine kinase (CK), creatine kinase myocardial band (CK-MB), cholesterol (CHOL), low-density lipoprotein cholesterol (LDL-C), triglyceride (TG) and creatinine (Cr), and vasculitis factors, including NO, endothelin-1 (ET-1), IL-8, and NO, were measured by the pathological laboratory of Shunde Hospital of Guangzhou University of Traditional Chinese Medicine. Plasma TMAO was measured using a double-antibody sandwich enzyme-linked immunosorbent test (ELISA, RX103049H, Ruixin Biotechnology, Quanzhou, China) and experiment was performed by Guangzhou Weijia Technology. Carotid IMT was measured by the Color Doppler (Philips epiq7c).


## 1.5. Statistical Analyses

Values of continuous variables were presented as medians with interquartile range (IQR). Kruskal-Wallis analysis of variance on ranks was used for comparisons of the three Gensini subgroups. Categorical variables were presented as numbers and percentages. The multivariate nonconditional logistic regression was used to analyze the correlation between Gensini score and vasculitis factors and cardiovascular biomarkers, the linear regression was used for the trend test. The Spearman correlation analysis was used between Gensini score and vasculitis factors and cardiovascular biomarkers levels in ACS patients. The multivariate logistic analysis was used to analyze the risk factors of atherosclerosis; the receiver operating curve (ROC) was used to analyze the value of TMAO in the prediction of ACS [14]. Statistical Package for the Social sciences (SPSS) 25.0 was used for all the analyses. A p value of <0.05 was considered statistically significant.


## 2. Results

### 2.1. Baseline Data

A total of 127 patients with ACS who underwent PCI, were divided into three groups according to Gensini score tertiles: low score tertile (Gensiniscore<25points; n=13), intermediate score tertile (Gensini score 25-20 points; n=33), and high score tertile (Gensiniscore>50points; n=81). As shown in Table 1, no obvious association was observed between Gensini score and age, BMI, BNP, TNI, CK, CK-MB, HDBH, LDH, CHOL, LDL-C, TG, Cr, NO, ET-1, IL-8, and IMT (all p>0.05). The plasma TMAO concentrations of patients with severe coronary atherosclerosis were higher than that of patients with moderate coronary atherosclerosis, and the plasma TMAO concentrations of patients with moderate coronary atherosclerosis were higher than that of patients with mild coronary atherosclerosis, the difference was statistically significant [4.73 (3.13, 4.62) versus 1.13 (0.63, 3.34) versus 0.79 (0.20, 1.29), p<0.001].Table 1
Baseline characteristics of patients.
MetricMild(n=13)Moderate(n=33)Severe(n=81)pAge, M (P25, P75)59 (54, 67)64 (55, 71)60 (52, 70)0.669Gender (male),n (%)9 (69.2)26 (78.8)57 (70.4)0.635Smoking,n (%)7 (53.8)19 (57.6)46 (56.8)0.974Hypertension,n (%)7 (53.8)25 (75.8)44 (54.3)0.095Diabetes mellitus,n (%)3 (23.1)13 (39.4)24 (29.6)0.470ACS0.577STEMI,n (%)6 (46.2)14 (42.4)38 (46.9)NSTEMI,n (%)1 (7.7)6 (18.2)19 (23.5)UA,n (%)6 (46.2)13 (39.4)24 (29.6)The ST changes of the ECG were observed0.377No change,n (%)6 (46.2)10 (30.3)19 (23.5)Elevation,n (%)6 (46.2)14 (42.4)40 (49.4)Shift down,n (%)1 (7.7)9 (27.3)22 (27.2)Gensini score, M (P25, P75)18 (16, 24)40 (37, 45)68 (59, 81)<0.001BMI, M (P25, P75)26.1 (25.1, 26.4)25.2 (24.7, 26.2)24.8 (23.8, 26.4)0.262TNI, M (P25, P75)0.32 (0.02, 13.03)0.33 (0.02, 8.36)0.20 (0.02, 5.23)0.981BNP, M (P25, P75)139.80 (28.18, 207.62)111.00 (81.61, 250.87)84.04 (50.39, 200.65)0.142CK-MB, M (P25, P75)18.32 (14.65, 42.60)52.10 (19.00, 206.83)29.50 (17.30, 91.75)0.079CK, M (P25, P75)124.85 (98.08, 446.30)376.60 (118.45, 1576.73)204.50 (88.40, 844.60)0.087HBDH, M (P25, P75)213.45 (143.63, 451.85)268.90 (164.98, 688.20)204.05 (146.63, 418.38)0.333LDH, M (P25, P75)414.00 (203.60, 570.53)398.40 (202.83, 957.53)315.90 (198.95, 626.06)0.793CHOL, M (P25, P75)4.85 (4.10, 5.55)5.18 (4.08, 6.36)5.03 (4.13, 5.81)0.846LDL-CD, M (P25, P75)3.32 (2.54, 3.95)3.70 (2.57, 4.41)3.57 (2.69, 4.22)0.832TG, M (P25, P75)1.35 (0.96, 2.02)1.57 (1.01, 2.25)1.41 (1.04, 2.00)0.850Cr, M (P25, P75)83.10 (63.80, 100.30)84.80 (69.00, 107.70)79.20 (65.95, 96.75)0.604IMT, M (P25, P75)11.70 (6.70, 16.25)11.80 (8.65, 14.50)10.00 (8.80, 14.10)0.814ET-1, M (P25, P75)0.52 (0.37, 1.04)0.40 (0.27, 0.60)0.40 (0.28, 0.70)0.262IL-8, M (P25, P75)4.78 (3.38, 9.47)3.38 (1.54, 6.53)3.38 (1.54, 7.29)0.222NO, M (P25, P75)2.63 (1.18, 6.08)2.02 (0.52, 3.78)3.14 (1.23, 6.12)0.071TMAO, M (P25, P75)0.79 (0.20, 1.29)1.13 (0.63, 3.34)4.73 (3.13, 6.42)<0.001


### 2.2. Clinical Outcomes

Plasma TMAO concentrations were positively associated with Gensini score (OR=0.629, p<0.001) and Gensini integral (OR=0.604, p<0.001), as shown in Table 2 and Figure 1. Plasma TMAO significantly identified the severe atherosclerosis (p<0.001). The AUC of TMAO for severe atherosclerosis was 0.852 (95%CI=0.779−0.925). When the cut-off value of TMAO was set at 1.2715 pg/ml, the sensitivity and specificity of TMAO for identifying severe atherosclerosis are 96.3% and 63.0%, as shown in Figure 2. Linear regression analysis was used to analyze the relationship between risk factors and Gensini score in ACS patients, and we found TMAO is a risk factor for the severity of atherosclerosis [β=3.358 (1.803, 4.914), p<0.001], as shown in Table 3. In addition, after adjustment of potential confounding factors such as gender, diabetes, and BMI, LDL-C and plasma TMAO can explain 44.6% of the variation of atherosclerosis score, as shown in Table 3. Furthermore, logistic regression analysis showed plasma TMAO concentrations were positively associated with the severity of atherosclerosis (OR=1.934, 95%CI=1.522−2.459, p<0.001), as shown in Table 4. TMAO was negatively correlated with age (OR=−0.224, p<0.05), BNP (OR=−0.175, p<0.05), IL-8 (OR=−0.324, p<0.001), and positively correlated with NO (OR=0.234, p<0.01), as shown in Table 2. However, no obvious association was observed between Gensini score and age, BMI, plasma BNP, TNI, CK, CK-MB, HDBH, LDH, CHOL, LDL-C, TG, Cr, NO, ET-1, IL-8, and IMT index.Table 2
Analysis of correlated factors.
The Gensini score is assigned to the scoreGensini gradingTMAOAge-0.009-0.049-0.224∗BMI0.018-0.1220.001TNI0.0350.006-0.129BNP-0.164-0.115-0.175∗CK-MB0.0750.0490.072CK0.002-0.0420.017HBDH0.001-0.081-0.060LDH0.045-0.036-0.013CHOL0.088-0.006-0.039LDL-C0.1270.0210.004TG-0.087-0.0010.002Cr-0.117-0.061-0.161IMT0.001-0.054-0.088ET-1-0.016-0.097-0.166I L-8-0.084-0.098-0.324∗∗∗NO0.1620.1540.234∗∗TMAO0.629∗∗∗0.604∗∗∗—Spearman correlation analysis,∗p<0.05, ∗∗p<0.01, and ∗∗∗p<0.001.Figure 1
The relationship between TMAO and atherosclerosis.Figure 2
Receiver operating characteristics analysis. ROC curve was used to evaluate the discriminative capacity of TMAO for severe atherosclerosis.Table 3
Linear regression analysis of the Gensini scores.
ArgumentSingle factorMultiple factor#β (95% CI)pβ (95% CI)pAge-0.039 (-0.381, 0.303)0.822NANAGender (male)1.978 (-6.796, 10.752)0.656NANASmoke1.045 (-6.871, 8.962)0.794NANAHypertension-5.190 (-13.141, 2.760)0.199NANADiabetes mellitus-2.048 (-10.487, 6.391)0.632NANAACSUARefRefNANASTEMI4.050 (-4.781, 12.880)0.366NANANSTEMI9.422 (-1.479, 20.323)0.090NANAThe ST changes of the ECG were observedNo changeRefRefNANAElevate6.010 (-3.279, 15.298)0.203NANAShift down10.940 (0.258, 21.621)0.045NANABMI0.413 (-0.078, 0.903)0.098-0.933 (-1.422, -0.445)<0.001TNI0.051 (-0.236, 0.339)0.725NANABNP0.002 (-0.004,0.008)0.491NANACK-MB0.024 (-0.017, 0.064)0.250NANACK0.002 (-0.001, 0.006)0.172NANAHBDH-0.002 (-0.016, 0.011)0.732NANALDH0.003 (-0.005, 0.012)0.448NANACHOL1.899 (-1.09, 4.888)0.211NANALDL-C3.203 (-0.149, 6.556)0.061NANATG-0.759 (-4.427, 2.909)0.683NANACr0.030 (-0.030, 0.090)0.329NANAIMT0.112 (-0.447, 0.670)0.693NANAET-11.548 (-4.845, 7.940)0.633NANAI L-8-0.425 (-1.103, 0.253)0.218NANANO0.266 (-0.255, 0.787)0.315NANATMAO5.375 (4.156, 6.594)<0.0013.358 (1.803, 4.914)<0.001#Using a stepwise multifactor linear regression analysis, the included factors with a univariate p<0.200 were entered into the multivariate analysis.Table 4
The logistic regression analysis of the factors associated with severe atherosclerosis.
ArgumentSingle factorMultiple factor#OR (95% CI)pOR (95% CI)pAge0.990 (0.959, 1.022)0.538NANAGender (male)1.340 (0.585, 3.068)0.489Smoke0.989 (0.477, 2.053)0.977NANAHypertension0.520 (0.242, 1.118)0.094NANADiabetes mellitus0.789 (0.365, 1.708)0.548NANAACSUARefRefNANASTEMI1.504 (0.669, 3.380)0.3234.528 (1.087, 18.861)0.038NSTEMI2.149 (0.748, 6.172)0.1554.277 (1.076, 16.996)0.039The ST changes of the ECG were observedNo changeRefRefNANAElevate0.540 (0.198, 1.468)0.227NANAShift down0.909 (0.362, 2.282)0.839NANABMI1.014 (0.966, 1.064)0.575NANATNI0.996 (0.970, 1.022)0.746NANABNP1.000 (1.000, 1.001)0.360NANACK-MB0.999 (0.996, 1.003)0.788NANACK1.0000 (1.000, 1.000)0.918NANAHBDH0.999 (0.998, 1.000)0.1120.998 (0996, 1.000)0.048LDH1.000 (0.999, 1.001)0.912NANACHOL1.001 (0.759, 1.322)0.992NANALDL-CD.105 1 (0.802, 1.522)0.541NANATG1.030 (0.731, 1.450)0.867NANACr1.000 (0.994, 1.005)0.896IMT0.989 (0.940, 1.041)0.672NANAET-10.970 (0.540, 1.744)0.920NANAIL-80.969 (0.911, 1.031)0.320NANANO.028 1 (0.967, 1.093)0.375NANATMAO1.934 (1.522, 2.459)<0.0011.952 (1.491, 2.557)<0.001


## 2.1. Baseline Data

A total of 127 patients with ACS who underwent PCI, were divided into three groups according to Gensini score tertiles: low score tertile (Gensiniscore<25points; n=13), intermediate score tertile (Gensini score 25-20 points; n=33), and high score tertile (Gensiniscore>50points; n=81). As shown in Table 1, no obvious association was observed between Gensini score and age, BMI, BNP, TNI, CK, CK-MB, HDBH, LDH, CHOL, LDL-C, TG, Cr, NO, ET-1, IL-8, and IMT (all p>0.05). The plasma TMAO concentrations of patients with severe coronary atherosclerosis were higher than that of patients with moderate coronary atherosclerosis, and the plasma TMAO concentrations of patients with moderate coronary atherosclerosis were higher than that of patients with mild coronary atherosclerosis, the difference was statistically significant [4.73 (3.13, 4.62) versus 1.13 (0.63, 3.34) versus 0.79 (0.20, 1.29), p<0.001].Table 1
Baseline characteristics of patients.
MetricMild(n=13)Moderate(n=33)Severe(n=81)pAge, M (P25, P75)59 (54, 67)64 (55, 71)60 (52, 70)0.669Gender (male),n (%)9 (69.2)26 (78.8)57 (70.4)0.635Smoking,n (%)7 (53.8)19 (57.6)46 (56.8)0.974Hypertension,n (%)7 (53.8)25 (75.8)44 (54.3)0.095Diabetes mellitus,n (%)3 (23.1)13 (39.4)24 (29.6)0.470ACS0.577STEMI,n (%)6 (46.2)14 (42.4)38 (46.9)NSTEMI,n (%)1 (7.7)6 (18.2)19 (23.5)UA,n (%)6 (46.2)13 (39.4)24 (29.6)The ST changes of the ECG were observed0.377No change,n (%)6 (46.2)10 (30.3)19 (23.5)Elevation,n (%)6 (46.2)14 (42.4)40 (49.4)Shift down,n (%)1 (7.7)9 (27.3)22 (27.2)Gensini score, M (P25, P75)18 (16, 24)40 (37, 45)68 (59, 81)<0.001BMI, M (P25, P75)26.1 (25.1, 26.4)25.2 (24.7, 26.2)24.8 (23.8, 26.4)0.262TNI, M (P25, P75)0.32 (0.02, 13.03)0.33 (0.02, 8.36)0.20 (0.02, 5.23)0.981BNP, M (P25, P75)139.80 (28.18, 207.62)111.00 (81.61, 250.87)84.04 (50.39, 200.65)0.142CK-MB, M (P25, P75)18.32 (14.65, 42.60)52.10 (19.00, 206.83)29.50 (17.30, 91.75)0.079CK, M (P25, P75)124.85 (98.08, 446.30)376.60 (118.45, 1576.73)204.50 (88.40, 844.60)0.087HBDH, M (P25, P75)213.45 (143.63, 451.85)268.90 (164.98, 688.20)204.05 (146.63, 418.38)0.333LDH, M (P25, P75)414.00 (203.60, 570.53)398.40 (202.83, 957.53)315.90 (198.95, 626.06)0.793CHOL, M (P25, P75)4.85 (4.10, 5.55)5.18 (4.08, 6.36)5.03 (4.13, 5.81)0.846LDL-CD, M (P25, P75)3.32 (2.54, 3.95)3.70 (2.57, 4.41)3.57 (2.69, 4.22)0.832TG, M (P25, P75)1.35 (0.96, 2.02)1.57 (1.01, 2.25)1.41 (1.04, 2.00)0.850Cr, M (P25, P75)83.10 (63.80, 100.30)84.80 (69.00, 107.70)79.20 (65.95, 96.75)0.604IMT, M (P25, P75)11.70 (6.70, 16.25)11.80 (8.65, 14.50)10.00 (8.80, 14.10)0.814ET-1, M (P25, P75)0.52 (0.37, 1.04)0.40 (0.27, 0.60)0.40 (0.28, 0.70)0.262IL-8, M (P25, P75)4.78 (3.38, 9.47)3.38 (1.54, 6.53)3.38 (1.54, 7.29)0.222NO, M (P25, P75)2.63 (1.18, 6.08)2.02 (0.52, 3.78)3.14 (1.23, 6.12)0.071TMAO, M (P25, P75)0.79 (0.20, 1.29)1.13 (0.63, 3.34)4.73 (3.13, 6.42)<0.001


## 2.2. Clinical Outcomes

Plasma TMAO concentrations were positively associated with Gensini score (OR=0.629, p<0.001) and Gensini integral (OR=0.604, p<0.001), as shown in Table 2 and Figure 1. Plasma TMAO significantly identified the severe atherosclerosis (p<0.001). The AUC of TMAO for severe atherosclerosis was 0.852 (95%CI=0.779−0.925). When the cut-off value of TMAO was set at 1.2715 pg/ml, the sensitivity and specificity of TMAO for identifying severe atherosclerosis are 96.3% and 63.0%, as shown in Figure 2. Linear regression analysis was used to analyze the relationship between risk factors and Gensini score in ACS patients, and we found TMAO is a risk factor for the severity of atherosclerosis [β=3.358 (1.803, 4.914), p<0.001], as shown in Table 3. In addition, after adjustment of potential confounding factors such as gender, diabetes, and BMI, LDL-C and plasma TMAO can explain 44.6% of the variation of atherosclerosis score, as shown in Table 3. Furthermore, logistic regression analysis showed plasma TMAO concentrations were positively associated with the severity of atherosclerosis (OR=1.934, 95%CI=1.522−2.459, p<0.001), as shown in Table 4. TMAO was negatively correlated with age (OR=−0.224, p<0.05), BNP (OR=−0.175, p<0.05), IL-8 (OR=−0.324, p<0.001), and positively correlated with NO (OR=0.234, p<0.01), as shown in Table 2. However, no obvious association was observed between Gensini score and age, BMI, plasma BNP, TNI, CK, CK-MB, HDBH, LDH, CHOL, LDL-C, TG, Cr, NO, ET-1, IL-8, and IMT index.Table 2
Analysis of correlated factors.
The Gensini score is assigned to the scoreGensini gradingTMAOAge-0.009-0.049-0.224∗BMI0.018-0.1220.001TNI0.0350.006-0.129BNP-0.164-0.115-0.175∗CK-MB0.0750.0490.072CK0.002-0.0420.017HBDH0.001-0.081-0.060LDH0.045-0.036-0.013CHOL0.088-0.006-0.039LDL-C0.1270.0210.004TG-0.087-0.0010.002Cr-0.117-0.061-0.161IMT0.001-0.054-0.088ET-1-0.016-0.097-0.166I L-8-0.084-0.098-0.324∗∗∗NO0.1620.1540.234∗∗TMAO0.629∗∗∗0.604∗∗∗—Spearman correlation analysis,∗p<0.05, ∗∗p<0.01, and ∗∗∗p<0.001.Figure 1
The relationship between TMAO and atherosclerosis.Figure 2
Receiver operating characteristics analysis. ROC curve was used to evaluate the discriminative capacity of TMAO for severe atherosclerosis.Table 3
Linear regression analysis of the Gensini scores.
ArgumentSingle factorMultiple factor#β (95% CI)pβ (95% CI)pAge-0.039 (-0.381, 0.303)0.822NANAGender (male)1.978 (-6.796, 10.752)0.656NANASmoke1.045 (-6.871, 8.962)0.794NANAHypertension-5.190 (-13.141, 2.760)0.199NANADiabetes mellitus-2.048 (-10.487, 6.391)0.632NANAACSUARefRefNANASTEMI4.050 (-4.781, 12.880)0.366NANANSTEMI9.422 (-1.479, 20.323)0.090NANAThe ST changes of the ECG were observedNo changeRefRefNANAElevate6.010 (-3.279, 15.298)0.203NANAShift down10.940 (0.258, 21.621)0.045NANABMI0.413 (-0.078, 0.903)0.098-0.933 (-1.422, -0.445)<0.001TNI0.051 (-0.236, 0.339)0.725NANABNP0.002 (-0.004,0.008)0.491NANACK-MB0.024 (-0.017, 0.064)0.250NANACK0.002 (-0.001, 0.006)0.172NANAHBDH-0.002 (-0.016, 0.011)0.732NANALDH0.003 (-0.005, 0.012)0.448NANACHOL1.899 (-1.09, 4.888)0.211NANALDL-C3.203 (-0.149, 6.556)0.061NANATG-0.759 (-4.427, 2.909)0.683NANACr0.030 (-0.030, 0.090)0.329NANAIMT0.112 (-0.447, 0.670)0.693NANAET-11.548 (-4.845, 7.940)0.633NANAI L-8-0.425 (-1.103, 0.253)0.218NANANO0.266 (-0.255, 0.787)0.315NANATMAO5.375 (4.156, 6.594)<0.0013.358 (1.803, 4.914)<0.001#Using a stepwise multifactor linear regression analysis, the included factors with a univariate p<0.200 were entered into the multivariate analysis.Table 4
The logistic regression analysis of the factors associated with severe atherosclerosis.
ArgumentSingle factorMultiple factor#OR (95% CI)pOR (95% CI)pAge0.990 (0.959, 1.022)0.538NANAGender (male)1.340 (0.585, 3.068)0.489Smoke0.989 (0.477, 2.053)0.977NANAHypertension0.520 (0.242, 1.118)0.094NANADiabetes mellitus0.789 (0.365, 1.708)0.548NANAACSUARefRefNANASTEMI1.504 (0.669, 3.380)0.3234.528 (1.087, 18.861)0.038NSTEMI2.149 (0.748, 6.172)0.1554.277 (1.076, 16.996)0.039The ST changes of the ECG were observedNo changeRefRefNANAElevate0.540 (0.198, 1.468)0.227NANAShift down0.909 (0.362, 2.282)0.839NANABMI1.014 (0.966, 1.064)0.575NANATNI0.996 (0.970, 1.022)0.746NANABNP1.000 (1.000, 1.001)0.360NANACK-MB0.999 (0.996, 1.003)0.788NANACK1.0000 (1.000, 1.000)0.918NANAHBDH0.999 (0.998, 1.000)0.1120.998 (0996, 1.000)0.048LDH1.000 (0.999, 1.001)0.912NANACHOL1.001 (0.759, 1.322)0.992NANALDL-CD.105 1 (0.802, 1.522)0.541NANATG1.030 (0.731, 1.450)0.867NANACr1.000 (0.994, 1.005)0.896IMT0.989 (0.940, 1.041)0.672NANAET-10.970 (0.540, 1.744)0.920NANAIL-80.969 (0.911, 1.031)0.320NANANO.028 1 (0.967, 1.093)0.375NANATMAO1.934 (1.522, 2.459)<0.0011.952 (1.491, 2.557)<0.001


## 3. Discussion

Gensini score is the most used quantitative analysis of coronary artery disease, as it fully considers the number, location, and degree of coronary artery disease, which is a relatively scientific evaluation standard [15]. In present study, through performing Gensini score on ACS patients who underwent PCI, we found that plasma TMAO was positively correlated with Gensini score, which can act as a risk factor for severe atherosclerosis.Yu et al., found that the plasma concentrations of TMAO, choline, creatinine, and carnitine in patients with coronary artery disease were significantly higher than those in patients with normal coronary arteries [16]. A case-control study in China found that high plasma TMAO concentrations were positively correlated with an increased risk of CHD, with or without adjusting for the main risk factors of CHD [17]. In addition, TMAO can increase the release of various inflammatory factors and increase the risk of atherosclerosis [18]. Some studies have found that TMAO can promote the formation and development of atherosclerosis, revealing that the concentration of plasma TMAO was closely related to cardiovascular risk [19, 20]. The higher plasma TMAO concentration, the more severe the atherosclerotic plaque in patients, and the higher the proportion of vulnerable plaque [21]. In our study, plasma TMAO concentration was positively correlated with Gensini score (OR=0.629, p<0.001) and Gensini integral (O=0.604, p<0.001), so it was associated with atherosclerosis. To further explore the discriminative capacity of TMAO for severe atherosclerosis, ROC analysis was performed. We found that TMAO could significantly identify the severe atherosclerosis (p<0.001). The AUC of TMAO for severe atherosclerosis was 0.852 (95%CI=0.779−0.925). The sensitivity and specificity of TMAO for identifying severe atherosclerosis were 96.3% and 63.0% when the cut-off value of TMAO was set at 1.2715 pg/ml.Tan et al. conducted a prospective cohort study on 211 patients with STEMI using optical coherence tomography to evaluate the plaque morphology. Their results showed that the plasma TMAO concentration of patients with ST segment elevation myocardial infarction caused by plaque rupture was significantly higher than that of patients caused by plaque erosion. After adjustment of risk factors, Tan et al. reported that elevated plasma TMAO concentration was an independent predictor of plaque rupture [22]. A study found that in patients undergoing coronary artery stent implantation, the plasma TMAO concentration of patients with new atherosclerotic plaque was significantly higher than that of patients without early atherosclerotic plaque. It was also found that in patients with coronary plaque formation, the plasma TMAO concentration in patients with plaque rupture was higher than that in patients without plaque rupture. It is suggested that plasma TMAO concentration can be used as a reliable risk factor of ACS and predictor of plaque instability [23]. One study showed that TMAO could independently predict the occurrence of short-term (6 months) and long-term (2 years) all-cause mortality or adverse outcomes of recurrent myocardial infarction after AMI [24]. Other studies have shown that TMAO can be used as a prognostic indicator of short-term and long-term cardiovascular events in acute coronary syndrome [25, 26]. In our study, logistic regression analysis showed plasma TMAO concentrations were positively associated with the severity of atherosclerosis in coronary artery (OR=1.934, 95%CI=1.522−2.459, p<0.001), indicating that TMAO can be a risk factor for ACS.It has been reported that TMAO induced inflammation in human umbilical vein endothelial cells and artery ofApoe gene knockout (Apoe–/–) mice by enhancing the activity of caspase-1 and mitochondrial oxidative stress, which then led to atherosclerosis [27]. TMAO has also been reported to promote the aggregation of activated leukocyte to endothelial cell. Compared with the control group, the expression of inflammatory genes was increased in LDL receptor deficient mice fed choline diet [28]. TMAO induced endothelial dysfunction by destroying endothelial connexin, enhancing vascular inflammation and oxidative stress, and atherosclerosis [29]. Wu et al. found that treatment of TMAO damaged the structure and function of mitochondria in Apoe–/– mice via elevating the expression of succinate dehydrogenase complex B subunit, increasing the production of reactive oxygen species, promoting endothelial cell apoptosis, and enhancing the release of proinflammatory cytokines, thereby exacerbating atherosclerosis [30]. In our study, we found that TMAO negatively correlated with age, IL-8, and BNP and positively correlated with NO. NO is considered to be the most effective endogenous vasodilator in vivo [31], and it also plays a role in inhibiting platelet aggregation, activating inflammation, oxidative stress, promoting the migration and proliferation of vascular smooth muscle cells, and enhancing leukocyte adhesion by maintaining the dynamic balance in the vascular wall [32], thus delaying atherosclerosis. This study suggested that TMAO is negatively correlated with NO, therefore TMAO may cause atherosclerosis by reducing NO. IL-8 can stimulate the proliferation of vascular smooth muscle cells and accelerate the formation of atherosclerotic plaque [33, 34]. In our study, we could not find atherosclerosis were related to IL-8, which may be due to relatively small sample size. Therefore, it cannot be determined whether TMAO causes atherosclerosis through IL-8. BNP, the main cardiovascular biomarker, rises with the increase of ventricular load pressure and has been used to evaluate cardiac function. It can antagonize renin angiotensin aldosterone receptor, reduce blood pressure, induce natriuresis/diuresis, and act as a potent vasodilator, thus slowing down heart failure and protecting cardiac function. In this study, we observed that plasma TMAO negatively correlated with BNP, which indicates that TMAO may aggravate heart failure by reducing BNP release. Unfortunately, in our current study of patients with ACS, no statistical correlation was found between plasma inflammatory factors, blood lipids, and atherosclerosis, therefore it cannot be concluded that TMAO increases the risk of atherosclerosis through inflammation or dyslipidemia.This study has some limitations which will need to be addressed in future research. Firstly, this cross-sectional study did not determine whether there is a causal relationship between plasma TMAO and ACS. Secondly, data of this study came from a single center, which did not rule out the influence of regional differences. In addition, the plasma TMAO concentration was only measured in one time point, which could not reflect the impact of its dynamic changes on the pathogenesis and prognosis of ACS; moreover, the ACS population in our study was not statistically correlated with IMT, ET-1, and blood lipids, which may be due to the relative small size of the cohort. To determine whether the plasma TMAO concentration is related to ACS, and whether the plasma TMAO concentration is related to the degree of coronary atherosclerosis, it is necessary to carry out a prospective study with a larger cohort of patients in the future study.


## 4. Conclusion

Overall, the present study suggests plasma TMAO concentrations positively associated with atherosclerosis in coronary artery of ACS and TMAO can act as a risk factor for severe atherosclerosis. Plasma TMAO may promote the progression of atherosclerosis and lead to ACS. Therefore, lowering the concentrations of plasma TMAO may provide protections to against atherosclerosis and the related diseases, thereby reducing the incidence rate of ACS.



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*Source: 2484018-2022-11-03.xml*