Comparative analysis of Nε-carboxymethyl-lysine and inflammatory markers in diabetic and non-diabetic coronary artery disease patients

Abstract

BACKGROUND

Coronary artery disease (CAD) is a major cause of death worldwide, and India contributes to about one-fifth of total CAD deaths. The development of CAD has been linked to the accumulation of Nε-carboxymethyl-lysine (CML) in heart muscle, which correlates with fibrosis.

AIM

To assess the impact of CML and inflammatory markers on the biochemical and cardiovascular characteristics of CAD patients with and without diabetes.

METHODS

We enrolled 200 consecutive CAD patients who were undergoing coronary angiography and categorized them into two groups based on their serum glycosylated hemoglobin (HbA1c) levels (group I: HbA1c ≥ 6.5; group II: HbA1c < 6.5). We analyzed the levels of lipoproteins, plasma HbA1c levels, CML, interleukin-6 (IL-6), tumor necrosis factor alpha (TNF-α), and nitric oxide.

RESULTS

Group I (81 males and 19 females) patients had a mean age of 54.2 ± 10.2 years, with a mean diabetes duration of 4.9 ± 2.2 years. Group II (89 males and 11 females) patients had a mean age of 53.2 ± 10.3 years. Group I had more severe CAD, with a higher percentage of patients with single vessel disease and greater stenosis severity in the left anterior descending coronary artery compared to group II. Group I also exhibited a larger left atrium diameter. Group I patients exhibited significantly higher levels of CML, TNF-α, and IL-6 and lower levels of nitric oxide as compared with group II patients. Additionally, CML showed a significant positive correlation with IL-6 (r = 0.596, P = 0.001) and TNF-α (r = 0.337, P = 0.001) and a negative correlation with nitric oxide (r=-4.16, P = 0.001). Odds ratio analysis revealed that patients with CML in the third quartile (264.43-364.31 ng/mL) were significantly associated with diabetic CAD at unadjusted and adjusted levels with covariates.

CONCLUSION

CML and inflammatory markers may play a significant role in the development of CAD, particularly in diabetic individuals, and may serve as potential biomarkers for the prediction of CAD in both diabetic and non-diabetic patients.

Key Words: Coronary artery disease, Diabetes, Nε-carboxymethyl-lysine, Inflammatory markers, Interleukin-6, Tumor necrosis factor alpha, Nitric oxide

Core Tip: Coronary artery disease (CAD) incidence is substantial in India.Its development is linked to the accumulation of Nε-carboxymethyl-lysine (CML). We assessed the impact of CML and inflammatory markers on biochemical and cardiovascular characteristics in diabetic and non-diabetic CAD patients. Diabetic patients exhibited elevated CML, tumor necrosis factor alpha, and interleukin 6 levels with reduced nitric oxide levels. CML levels displayed a significant correlation with interleukin 6, tumor necrosis factor alpha, and nitric oxide. The third quartile of CML was associated with diabetic CAD, suggesting its role as a biomarker in CAD prediction for diabetic and non-diabetic patients.

INTRODUCTION

Heart disease, specifically heart failure (HF) and coronary artery disease (CAD), is a major contributor to mortality in both developed and developing countries[1]. The World Health Organization states that the most common cause of death is cardiovascular disease (CVD), resulting in 17.9 million annual deaths. Subsequently, cancer, chronic respiratory ailments, and diabetes trail behind as causes of mortality[2]. In diabetic individuals with CAD, inadequate management of blood sugar levels is linked to both hospitalization and mortality[3]. Diabetes mellitus is a major risk factor for the cause and progression of atherosclerosis[4,5].

Some recent literature evidence suggests that advanced glycation end products (AGEs) play an important role in the acceleration of vascular disease[6]. AGEs are formed from the non-enzymatic reaction of sugars and proteins, leading to oxidative stress, inflammation, and endothelial dysfunction through various mechanisms[7]. In hyperglycemia, the accumulation of AGEs is thought to play a role in the onset of diabetic complications. AGE buildup can modify tissue structure, affecting its properties and making it more resistant to breaking down[8]. One of the major AGEs, Nε-carboxymethyl-lysine (CML) is formed by the non-enzymatic glycation and oxidation of monosaccharides (glucose) and proteins (lysine). The attachment of AGEs to receptor for AGEs (RAGE)may result in impaired cellular communication, protein structure and functional alterations, and mitochondrial malfunction, ultimately resulting in cellular demise. RAGE binding can also increase reactive oxygen species and stimulate inflammatory signaling through tumor necrosis factor alpha (TNF-α) and interleukin 6 (IL-6). It also affects endothelial function by altering nitric oxide levels[9].

Subsequently, new evidence suggested that CML has made a major contribution to the development of CAD[10]. CML found in heart muscle shows a positive correlation with fibrosis and cardiac disease[11]and promotes hypertrophy, apoptosis, and myocardial fibrosis[12]. Elevated CML levels have been linked to poor collateralization in chronic total occlusion in diabetic CAD patients[13]. Along with CAD, CML is also significantly associated with many other diseases, like diabetic retinopathy, diabetic nephropathy, diabetic neuropathy, and cancer[14].

In this study, we assessed the impact of CML in association with inflammatory markers on biochemical and cardiovascular characteristics in diabetic and non-diabetic CAD patients. We aimed to gain new insights while exploring the relationship between diabetes and CAD, which may open future prospects for therapeutic intervention in such patients.

MATERIALS AND METHODS

Study population

This cross-sectional study was conducted at the Department of Biochemistry, G.B. Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India. We enrolled 200 age-matched and sex-matched, angiography-confirmed patients diagnosed with CAD from both OPD & IPD of Department of Cardiology. All patients signed an informed consent. The study was conducted in accordance with internationally accepted recommendations for clinical investigation (the Declaration of Helsinki of the World Medical Association, revised October 2013) with approval from the ethics committee of Maulana Azad Medical College and associated hospitals, New Delhi, India.

Sample collection

Venous blood (5 mL) was drawn under aseptic conditions from consented patients. Further, a 3-mL sample was transferred to an EDTA vial for glycosylated hemoglobin (HbA1c) and special chemistry analysis, and the remaining sample was transferred to a glucose vial for blood sugar analysis. Patients with HbA1c level ≥6.5% or having a previous diagnosis of diabetes were considered as diabetic CAD (group I), while patients with level <6.5% were categorized as non-diabetic CAD (group II). Group II patients with no prior history of diabetes and no history of anti-diabetic medication were classified as non-diabetic CAD. The serum levels of HbA1C were measured by a fully automated analyzer, whereas the CML, IL-6, TNF-α, and nitric oxide levels were determined by enzyme-linked immunosorbent assay methods.

Clinical assessment

Independent senior cardiologists utilized the angiographic data from the catheterization laboratory to calculate the severity of CAD using the Gensini scoring (GS) system. The left coronary artery was separated into left anterior descending (LAD), circumflex, and obtuse marginal branches, while the right coronary artery (RCA) was considered a single artery. The lesion score for each coronary segment was multiplied by a location-based factor, and then the scores were added together to calculate the GS.

GS system

The GS was determined by adding the scores from each coronary segment as follows: one point for 25% stenosis; two points for 26%-50% stenosis; four points for 51%-75% stenosis; eight points for 76%-90% stenosis; sixteen points for 91%-99% stenosis; and 32 points for total occlusion. The significance of the location of the lesion in the coronary circulation was also considered, with 5 points for the left main coronary artery, 2.5 points for the proximal LAD coronary artery and proximal left circumflex artery, 1.5 points for the mid-LAD coronary artery, 1 point for the RCA, the distal segment of the LAD coronary artery, the posterolateral artery, and the obtuse marginal artery, and 0.5 points for other segments[15].

Doppler echocardiography examination

A standard two-dimensional, M-mode, and Doppler echocardiography examination was conducted using the Philips EpiQ-7C echocardiography system. The examination measured various parameters including the dimension of the left atrium (LA) and the aortic root. The left ventricular ejection fraction (LVEF) was also calculated using Simpson’s method[16].

Cardiovascular risk factor assessment

Patients over the age of 18 years who were confirmed with the diagnosis of CAD by resting electrocardiogram or coronary angiography with >50% stenosis were included in this study. Blood pressure was measured as an average of two readings recorded at least 5 min apart while the participants rested in a seated position. Hypertension was identified when the subject was either having a history of hypertension or a systolic blood pressure of ≥140 mmHg or a diastolic blood pressure of ≥90 mmHg. Patients with total cholesterol (TC) (>200 mg/dL), triglycerides (>150 mg/dL), high-density lipoprotein cholesterol (HDL-C) (<40 mg/dL), or low-density lipoprotein cholesterol (LDL-C) (>100 mg/dL) were defined as having dyslipidemia. Additionally, patients with renal or hepatic impairment as well as those who had undergone previous therapies such as coronary artery bypass graft surgery or percutaneous coronary intervention were excluded from the study.

Statistical analysis

The SPSS version 21 (IBM Corp., Chicago, IL, United States) was used to analyze the data. The mean and standard deviation and frequency and percentage were used to express quantitative and qualitative data, respectively. For quantitative data, an independent t-test was performed to compare two independent variables. The normality of the data was checked by the Kolmogorov-Smirnov test. Student’s t-test, analysis of variance, and Mann-Whitney U test were used to compare parametric and non-parametric variables. All statistical tests were carried out at a P < 0.05 significance level.

RESULTS

Demographic characteristics

The mean age of group I was 54.2 ± 10.2 years, while the mean age for group II was 53.2 ± 10.3 years (P = 0.473). There was a male sex predominance with males constituting 81% in group I and 89% in group II. In group I, the duration of diabetes was 4.9 ± 2.2 years. Hypertension was more prevalent in group I (39%) than in group II (20%) (P = 0.001). The median systolic blood pressure was significantly higher in group I [125.50 mmHg; 95% confidence interval (CI): 118.0-140.0] compared to group II (120 mmHg; 95%CI: 114.0-129.5) (P = 0.001). In relation to medications, statin use was 79% in group I and 89% in group II. Beta-blockers were taken by 53 (53%) subjects in group I and 73 (73%) subjects in group II. Only 5 (5%) subjects in group II, compared to 17 (17%) in group I, were taking angiotensin converting enzyme (ACE) inhibitors (Table 1). The ACE inhibitor usage was lower as the drug history was taken just before the cardiac catheterization. Subsequently, patients were started on an ACE inhibitor once they were stable.

Table 1 Demographic characteristics in diabetic coronary artery disease patients and non-diabetic coronary artery disease patients.

Parameter	Group I, n = 100	Group II, n = 100	P value1
Age	54.2 ± 10.2	53.2 ± 10.3	0.4732
Male:Female	81 (81%): 19 (19%)	89 (89%): 11 (11%)	0.823
Non-vegetarian diet	80%	60%	0.0013
Smoker	65%	50%	0.0223
Alcohol consumption	26%	25%	0.5003
Tobacco chewer	49%	39%	0.1003
Hypertensive	39%	20%	0.0013
Systolic blood pressure in mmHg as median	125.5 (118.0-140.0)	120.0 (114.0-129.5)	0.0014
Diastolic blood pressure in mmHg as median	80.0 (72.0-84.0)	80.0 (70.0-80.0)	0.0894
Medications
Statin	79%	89%	0.0413
Beta-blocker	58%	73%	0.0183
ACE inhibitor	17%	5%	0.0053

¹P value < 0.05 is considered significant.

²Student’s t test.

³χ² test.

⁴Mann Whitney U test. Group I: Diabetic coronary artery disease patients.

Group II: Non-diabetic coronary artery disease patients. ACE: Angiotensin converting enzyme.

Cardiovascular characteristics

Group I consisted of 57 patients with single vessel disease (SVD), 27 patients with double vessel disease, and 8 patients with triple vessel disease. However, group II had 35 patients with SVD, 36 patients with double vessel disease, and 11 patients with triple vessel disease. Eight patients in group I and fourteen patients in group II had normal angiograms (P = 0.016).

The mean and standard deviation of severity of stenosis in the LAD artery were observed as 90.51% ± 8.51%, in the left circumflex (LCX) artery as 90.91% ± 8.80%, and in the RCA as 90.32% ± 10.15% in group I. On the other hand, in group II, the mean and standard deviation of stenosis in the LAD were 87.85% ± 12.31%, in the LCX were 82.22% ± 22.33%, and in the RCA were 89.26% ± 12.90%. The GS was higher in group I, with a score of 26 (12–44) compared with group II with a score of 20 (12-40). Group I had a larger LA diameter of 2.93 ± 0.32 cm compared to 2.83 ± 0.39 cm in group II (P = 0.04). The aortic root diameter was slightly larger in group I at 2.15 ± 0.39 mm compared to 2.10 ± 0.40 mm in group II. Further, group I had a mean LVEF of 45.60% ± 12.04%, and group II had a mean EF of 46.70% ± 12.01%.

The patients were categorized based on their LVEF in Table 2. In group I, 38% of patients had preserved EF (LVEF ≥ 50%), 13% had mild EF reduction (LVEF 41%-49%), and 49% had reduced EF (LVEF < 40%). In group II, 43% of patients had preserved EF, 14% had mild EF reduction, and 43% had reduced EF. Anterior wall myocardial infarction was experienced by 39% of patients in group I and 39% of patients in group II, and inferior wall myocardial infarction was experienced by 26% of patients in group I and 21% of patients in group II.

Table 2 Cardiovascular characteristics in diabetic coronary artery disease patients and non-diabetic coronary artery disease patients.

Parameter	Group I, n = 100	Group II, n = 100	P value1
Angiography findings
Single vessel disease	57 (57%)	35 (35%)	0.0162
Double vessel disease	27 (27%)	36 (36%)
Triple vessel disease	8 (8%)	15 (15%)
Normal angiogram	8 (8%)	14 (14%)
Stenosis in LAD as %	90.51 ± 8.51	87.85 ± 12.31	0.053
Stenosis in LCX as %	90.91 ± 8.80	82.22 ± 22.33	0.233
Stenosis in RCA as %	90.32 ± 10.15	89.26 ± 12.90	0.733
Gensini score	26 (12-44)	20 (12-40)	0.473
2D echocardiography parameters
Left atrium diameter in cm	2.93 ± 0.32	2.83 ± 0.39	0.013
Aortic root diameter in mm	2.15 ± 0.39	2.10 ± 0.40	0.273
LVEF	45.60 ± 12.04	46.70 ± 12.01	0.493
Preserved ejection fraction, LVEF ≥ 50%	38 (38%)	43 (43%)	0.692
Mild ejection fraction, LVEF 41%-49%	13 (13%)	14 (14%)
Reduced ejection fraction (LVEF < 40%)	49 (49%)	43 (43%)
AWMI	39 (39%)	39 (39%)	0.562
IWMI	26 (26%)	21 (21%)

¹P value < 0.05 is considered significant.

²χ² test.

³Mann Whitney U test.

Group I: Diabetic coronary artery disease patients; Group II: Non-diabetic coronary artery disease patients. AWMI: Anterior wall myocardial infarction; IWMI: Inferior wall myocardial infarction; LAD: Left anterior descending; LCX: Left circumflex; LVEF: Left ventricular ejection fraction; RCA: Right coronary artery.

Comparison of biochemical parameters in group I and group II

The TC, triglycerides levels, and very-LDL levels were found to be significantly higher in group I compared to group II (P = 0.006, P = 0.001, and P = 0.001, respectively). Further, both HbA1c and the blood sugar levels were found to be significantly higher in group I compared to group II (P = 0.001). The abovementioned intergroup comparison between biochemical parameters has been shown in Table 3.

Table 3 Biochemical parameters in diabetic coronary artery disease patients and non-diabetic coronary artery disease patients.

Biochemical parameters	Group I, median (25%-75% quartile)	Group II, median (25%-75% quartile)	P value1
Total cholesterol in mg/dL	143.50 (118.00-183.50)	132.00 (100.25-163.75)	0.0062
Triglycerides in mg/dL	150.00 (106.25-214.00)	114.00 (75.00-148.75)	0.0012
HDL-C in mg/dL	33.40 (27.33-38.98)	34.55 (28.70-41.00)	0.4492
LDL-C in mg/dL	78.00 (53.50-108.80)	73.00 (52.00-92.75)	0.2782
VLDL-C in mg/dL	29.00 (20.85-42.00)	23.00 (15.00-30.00)	0.0012
Random blood sugar in mg/dL	213.00 (131.50-275.75)	113.00 (99.00-135.00)	0.0012
HbA1c as %	8.09 (7.10-10.20)	5.70 (5.40-5.98)	0.0012
Urea in mg/dL	29.00 (23.00-39.60)	28.55 (24.85-34.00)	0.1772
Creatinine in mg/dL	0.90 (0.80-1.20)	1.00 (0.80-1.10)	0.8112
Total bilirubin in mg/dL	0.40 (0.30-0.70)	0.50 (0.40-0.69)	0.2602
Total protein in gm/dL	7.10 (6.80-7.60)	7.10 (6.73-7.48)	0.4412
Albumin in gm/dL	4.20 (4.00-4.40)	4.28 (4.00-4.50)	0.2812
ALP in U/L	108 (87.00-133.00)	95.50 (84.25-110.00)	0.0542
SGOT in U/L	26 (21.00-45.00)	30.00 (22.00-47.50)	0.2402
SGPT in U/L	28 (20.00-43.00)	29.95 (22.00-49.00)	0.1872
Sodium in mEq/L	136.00 (134.00-139.00)	139.00 (136.00-141.00)	0.0012
Potassium in mEq/L	4.60 (4.30-4.90)	4.35 (4.10-4.80)	0.0022
CML in ng/mL	264.43 (193.19- 364.34)	250.68 (195.95-333.70)	0.0312
IL-6 in pg/mL	2.75 (1.36-5.50)	2.36 (1.23-3.60)	0.0112
TNF-α in pg/mL	20.2 (13.65-25.32)	15.67 (11.137-21.785)	0.0062
Nitric oxide in nmol/mL	87.09 (59.84-124.37)	110.86 (77.00-150.00)	0.0022

¹P value < 0.05 is considered significant.

²Mann Whitney U test.

Group I: Diabetic coronary artery disease patients; Group II: Non-diabetic coronary artery disease patients. ALP: Alkaline phosphatase; CML: Nε-carboxymethyl-lysine; HbA1c: Glycosylated hemoglobin; HDL-C: High-density lipoprotein cholesterol; IL-6: Interleukin-6; LDL-C: Low-density lipoprotein cholesterol; SGOT: Glutamic-oxalacetic transaminase; SGPT: Glutamic-pyruvic transaminase; TNF-α: Tumor necrosis factor-alpha; VLDL-C: Very low-density lipoprotein cholesterol.

Association of CML, IL-6, TNF-α, and nitric oxide between group I and group II

The comparison of CML, IL-6, TNF-α, and nitric oxide between group I and group II (Figure 1) showed significant differences between the two groups: serum CML (264.43, 95%CI: 193.19-364.34 vs 250.68, 95%CI:195.95-333.70, P = 0.031), IL-6 (2.75, 95%CI: 1.36-5.50 vs 2.36, 95%CI: 1.23-3.60, P = 0.011), TNF-α (20.20, 95%CI: 13.65-25.32 vs 15.67, 95%CI: 11.14-21.79, P = 0.006), and nitric oxide (87.09, 95%CI: 59.84-124.37 vs 110.86, 95%CI: 77.00-150.00, P = 0.002).

Figure 1 Comparison of serum Nε-carboxymethyl-lysine, interleukin 6, tumor necrosis factor alpha, and nitric oxide between group I and II. A: Serum Nε-carboxymethyl-lysine (CML) level; B: Serum interleukin-6 (IL-6) level; C: Serum tumor necrosis factor-alpha (TNF-α) level; D: Serum nitric oxide. ^aBiochemical markers CML, IL-6, TNF-α, and nitric oxide showed a difference between diabetic coronary artery disease patients and non-diabetic coronary artery disease patients. *Significant difference of biochemical markers between Group I: Diabetic coronary artery disease patients; and Group II: Non-diabetic coronary artery disease patients.

Association of lipid parameters between group I and group II

Table 4 shows the lipid profile of individuals in group I and group II. In group I, 17% of individuals had high TC levels (> 200 mg/dL), whereas group II had a lower proportion of individuals with high TC levels (8%). The difference between the groups was significant with a P value of 0.043. In group I, 49% had high triglycerides levels (> 150 mg/dL), while 51% had normal levels (< 150 mg/dL). In group II, a significantly lower proportion of individuals had high triglyceride levels (24%), and a significantly higher proportion had normal levels (76%), with a P value of 0.001. A higher proportion of individuals in group I had low levels (< 40 mg/dL) of HDL (86%) compared to those with normal levels (> 40 mg/dL) (14%). In contrast, group II had a lower proportion of individuals with low HDL levels (73%) and a higher proportion with normal levels (27%) (P = 0.017). In group I, 70% of patients had normal LDL-C levels (< 100 mg/dL), while 30% had high levels (> 100 mg/dL). In group II, 80% of individuals had normal LDL-C levels and 20% had high levels, P = 0.094.

Table 4 Percentage of dyslipidemia in diabetic coronary artery disease patients and non-diabetic coronary artery disease patients.

Parameter	Group I	Group II	P value1
High total cholesterol, > 200 mg/dL	17 (17%)	8 (8%)	0.043
Normal total cholesterol, < 200 mg/dL	83 (83%)	92 (92%)
High triglycerides, > 150 mg/dL	49 (49%)	24 (24%)	0.001
Normal triglycerides, < 150 mg/dL	51 (51%)	76 (76%)
Low HDL-C, < 40 mg/dL	86 (86%)	73 (73%)	0.017
Normal HDL-C, > 40 mg/dL	14 (14%)	27 (27%)
High LDL-C, > 100 mg/dL	70 (70%)	80 (80%)	0.094
Normal LDL-C, < 100 mg/dL	30 (30%)	20 (20%)

¹P value < 0.05 is considered significant. Group I: Diabetic coronary artery disease patients; Group II: Non-diabetic coronary artery disease patients. HDL-C: High-density lipoprotein cholesterol; LDL-C: Low-density lipoprotein cholesterol.

Correlation and logistic regression analysis between CML, inflammatory markers, and lipid parameters

In the correlation analysis, CML exhibited significant positive correlations with IL-6 (r = 0.596), TNF-α (r = 0.337), TC(r = 0.21), HbA1c (r = 0.14), and the GS (r = 0.19) in the combined data from both group I and group II. The correlations of CML (group I vs group II), IL-6 (r = 0.502 vs r = 0.673), TNF-α (r = 0.256 vs r = 0.436), and nitric oxide (r = -0.484 vs r = -0.283) between the two groups were significant (Table 5). The linear regression analysis of CML revealed significant positive associations with IL-6 (r² = 0.181, P = 0.001), TNF-α (r² = 0.142, P = 0.001), TC (r² = 0.056, P = 0.001), HbA1c (r² = 0.057, P = 0.001), and the GS (r² = 0.027, P = 0.02). Additionally, CML showed a significant negative association with nitric oxide (r² = 0.163, P = 0.001) (Figure 2).

Figure 2 Linear regression analysis of Nε-carboxymethyl-lysine with interleukin 6, tumor necrosis factor alpha, nitric oxide, total cholesterol, glycosylated hemoglobin, and Gensini Score. A: Regression line between Nε-carboxymethyl-lysine (CML) and interleukin-6 (IL-6); B: Regression line between CML and tumor necrosis factor-alpha (TNF-α); C: Regression line between CML and nitric oxide; D: Regression line between CML and total cholesterol (TC); E: Regression line between CML and glycosylated hemoglobin (HbA1c); F: Regression line between CML and Gensini score.

Table 5 Correlation analysis of Nε-carboxymethyl-lysine with inflammatory markers, nitric oxide, Gensini score, and biochemical parameters.

Parameter	Subcategory	Combined (group I and group II)		Group I		Group II
		Correlation coefficient	P value	Correlation coefficient	P value	Correlation coefficient	P value
CML	Gensini score	0.193	0.006	0.056	0.577	0.353	0.001
	IL-6	0.596	0.001	0.502	0.001	0.673	0.001
	TNF-α	0.337	0.001	0.256	0.01	0.436	0.001
	Nitric oxide	-0.416	0.001	-0.484	0.001	-0.283	0.004
	TC	0.216	0.002	0.25	0.01	0.109	0.281
	Triglycerides	0.156	0.027	0.087	0.389	0.169	0.093
	HDL-C	-0.064	0.372	-0.105	0.298	0.006	0.953
	LDL-C	0.251	0.001	0.289	0.003	0.151	0.134
	VLDL-C	0.131	0.065	0.045	0.654	0.176	0.081
	Random blood sugar	-0.011	0.875	-0.204	0.052	0.081	0.43
	HbA1c	0.14	0.048	0.006	0.951	0.044	0.66
	Urea	-0.004	0.953	-0.006	0.957	-0.046	0.653
	Creatinine	0.059	0.405	0.129	0.202	-0.047	0.646
	Total bilirubin	0.053	0.458	0.083	0.413	0.08	0.428
	Total protein	0.086	0.229	0.183	0.07	-0.055	0.585
	Albumin	0.062	0.387	0.201	0.046	-0.064	0.525
	Alkaline phosphatase	0.042	0.556	0.003	0.975	0.033	0.743
	SGOT	-0.061	0.395	-0.056	0.581	-0.032	0.754
	SGPT	0.019	0.793	0.102	0.317	-0.027	0.788
	Sodium	0.022	0.762	0.059	0.559	0.079	0.432
	Potassium	0.116	0.103	0.076	0.452	0.102	0.313
	Duration of diabetes	-	-	0.494	0.001	-	-

Group I: Diabetic coronary artery disease patients; Group II: Non-diabetic coronary artery disease patients. CML: Nε-carboxymethyl-lysine; HbA1c: Glycosylated hemoglobin; HDL-C: High-density lipoprotein cholesterol; IL-6: Interleukin 6; LDL-C: Low-density lipoprotein cholesterol; SGOT: Glutamic-oxalacetic transaminase; SGPT: Glutamic-pyruvic transaminase; TC: Total cholesterol; TNF-α: Tumor necrosis factor-alpha; VLDL-C: Very low-density lipoprotein cholesterol.

The association between quartiles of CML and diabetic CAD was revealed by logistic regression analysis, while accounting for various covariates in separate models (Table 6). The first quartile of CML (83.73-193.18 ng/mL) served as the reference category. In the unadjusted model, the third quartile (264.43-364.31 ng/mL) had an odds ratio of 2.12 (95%CI: 1.17-3.85, P < 0.01). Following adjustments for non-vegetarian diet and hypertension (model 2), the odds ratio for the third quartile rose to 3.05 (95%CI: 1.31-7.06, P = 0.01). Furthermore, upon introducing further adjustments in Model 3, encompassing TC, triglycerides, LDL-C, IL-6, and TNF-α, the odds ratio for the third quartile became 3.32 (1.30-8.44, P = 0.01) while retaining its statistical significance.

Table 6 Logistic regression analysis of Nε-carboxymethyl-lysine for risk of diabetic coronary artery disease.

Risk model	CML quartile (range) (group I, n; group II, n)	Exp (B)	95%CI (lower-upper)	Significance
Model 1: Unadjusted	CML first quartile (83.73-193.18 ng/mL) (group I, n =27; group II, n =23)	Ref	Ref	Ref
	CML second quartile (193.19-264.42 ng/mL) (group I, n = 16; group II, n = 34)	0.85	0.48-1.48	0.57
	CML third quartile (264.43-364.31 ng/mL) (group I, n = 23; group II, n = 27)	2.12	1.17-3.85	0.01
	CML fourth quartile (364.32-665.00 ng/mL) (group I, n = 34; group II, n = 16)	1.17	0.67-2.04	0.57
Model 2: Model 1 + age + sex + non-vegetarian diet + hypertension	CML first quartile (83.73-193.18 ng/mL)	Ref	Ref	Ref
	CML second quartile (193.19-264.42 ng/mL)	0.57	0.27-1.23	0.15
	CML third quartile (264.43-364.31 ng/mL)	3.05	1.31-7.06	0.01
	CML fourth quartile (364.32-665.00 ng/mL)	1.81	0.82-3.99	0.13
Model 3: Model 2+ total cholesterol + triglycerides + LDL-C + IL-6 + TNF-α	CML first quartile (83.73-193.18 ng/mL)	Ref	Ref	Ref
	CML second quartile (193.19-264.42 ng/mL)	0.84	0.35-2.02	0.70
	CML third quartile (264.43-364.31 ng/mL)	3.32	1.30-8.44	0.01
	CML fourth quartile (364.32-665.00 ng/mL)	2.49	1.03-6.04	0.04

Group I: Diabetic coronary artery disease patients; Group II: Non-diabetic coronary artery disease patients. CI: Confidence interval; CML: Nε-carboxymethyl-lysine; IL-6: Interleukin 6; LDL-C: Low-density lipoprotein; TNF-α: Tumor necrosis factor-alpha.

DISCUSSION

CML is an AGE involved in the pathogenesis of CVD[17]. Recent studies have demonstrated that CML is linked to endothelial and cardiac dysfunction, left ventricular diastolic dysfunction, and an increase in carotid intima-media thickness, which is a subclinical marker of atherosclerosis in patients with type 2 diabetes[18]. In our cross-sectional study, we found an association between CML, inflammatory markers, and nitric oxide in both diabetic and non-diabetic CAD patients.

In our study, we observed that group I had a significantly higher frequency of risk factors including non-vegetarian diet intake, smoking, and hypertension. Further, we observed that group I had a higher number of individuals with SVD and a greater severity of stenosis in the LAD and LCX coronary arteries. However, in non-diabetic patients, the LAD was found to be the most affected[19]. Further, we observed that in group I, the diameter of the LA was significantly higher suggesting the chronicity of the disease. The incidence of anterior wall myocardial infarction was similar in both groups; the frequency of inferior wall myocardial infarction was higher in group I than in group II. The LVEF was decreased in both the groups. It has been reported previously that lower LVEF is common in diabetic CAD patients[20].

In the comparison of the biochemical profile, our study found that diabetic CAD patients exhibited significantly higher levels of TC, triglycerides, very-LDL, HbA1c, and potassium levels as well as significantly lower levels of HDL-C and serum sodium compared to non-diabetic CAD patients (Tables 2 and 3). Additionally, we observed that the serum levels of CML, TNF-α, and IL-6 were significantly higher, while the serum levels of nitric oxide were significantly lower in diabetic CAD patients. Similarly, Banach et al[21] suggested that dyslipidemia is a common occurrence among diabetic CAD patients and that individualized lipid-lowering therapy can effectively reduce associated complications and risks. Zhao et al[22](2023) suggested that patients with acute decompensated HF who had potassium levels outside the range of 3.50 to 4.00 mmol/L, lower levels of sodium, and hypochloremia had a worse short-term prognosis. There was also a positive correlation between the number of electrolyte imbalances and an adverse short-term prognosis among these patients[22]. Similarly, Ahmed et al[23] found that elevated CML levels have been linked to the development of ischemic heart disease in patients with type 2 diabetes. Koshino et al[24] suggested that increased levels of inflammatory markers (IL-6 and TNF-α) from their baseline increase the risk of CVD and are associated with long-term cardiovascular mortality and cardiovascular death. Similarly, Adela et al[25] found lower nitric oxide levels in subjects suffering from diabetes for more than 5 years.

Further, in the correlation analysis (Table 5), CML was overall positively correlated with the GS, IL-6, TNF-α, TC, LDL-C, and HbA1c and negatively correlated with nitric oxide and HDL-C. In group I, CML showed a positive correlation with IL-6, TNF-α, TC, and LDL-C, and a negative correlation with nitric oxide. Furthermore, in group II, CML showed a positive correlation with the GS, IL-6, and TNF-α and a negative correlation with nitric oxide.

Similarly, Kerkeni et al[26] suggested that the serum concentrations of AGEs (CML and pentosidine) were significantly elevated in patients with CAD. Furthermore, serum pentosidine levels are independently associated with the occurrence of CAD with odds of 1.52. Additionally, the optimal cutoff value for pentosidine to predict the presence of CAD was found to be 3.2 μmol/mol[26].

Gaens et al[27] suggested that CML upregulates RAGE-dependent inflammatory responses and increases serum IL-6 level and TNF-α, which are negatively associated with serum nitric oxide and a high body mass index. Further in logistic regression analysis we found the CML level (264.43-364.31 ng/mL) significantly increased the risk of diabetic CAD. Similarly, Semba et al[28] suggested that in non-diabetic subjects serum CML was associated with anemia (odds ratio 1.33, 95%CI: 1.03-1.72, P = 0.029) in a multivariate logistic regression model, adjusting for age, sex, race, smoking, coronary heart disease, HF, and renal insufficiency. Kralev et al[29] suggested that a cutoff value of CML > 9.5 AU/mg was associated with an odds ratio of acute myocardial infarction of 39.7.

CONCLUSION

In conclusion, this study provided evidence for the association of CML and inflammatory markers with CAD in diabetic and non-diabetic patients. The results suggested that CML, IL-6, and TNF-α may be potential biomarkers for the prediction of CAD in diabetic patients, while nitric oxide may be a potential biomarker for the prediction of CAD in non-diabetic patients. These findings have significant clinical implications for the early diagnosis and management of CAD, particularly in diabetic patients who are at higher risk for developing cardiovascular complications. Further research on a larger cohort is needed to validate these findings and explore the underlying mechanisms of CML and inflammatory markers in the development of CAD, which may be helpful developing therapeutic interventions further.

ARTICLE HIGHLIGHTS

Research background

Coronary artery disease (CAD) is a widespread global health issue, responsible for a significant number of deaths. India bears a substantial burden, contributing to approximately one-fifth of CAD-related fatalities. The development of CAD has been closely linked to the accumulation of Nε-carboxymethyl-lysine (CML) in the heart muscle, a phenomenon associated with fibrosis. Understanding the role of CML in CAD development is crucial for combating this life-threatening condition.

Research motivation

This study is motivated by the need to shed light on the factors contributing to CAD, especially in the context of diabetes. CAD is a complex disease, and understanding its underlying mechanisms can help in early diagnosis and more effective management. Diabetes is a significant risk factor for CAD, and investigating the interplay between CML, inflammatory markers, and CAD in individuals with and without diabetes can provide valuable insights into its pathogenesis.

Research objectives

The primary objective of this research was to evaluate the impact of CML and inflammatory markers on the biochemical and cardiovascular characteristics of CAD patients, differentiating between diabetic and non-diabetes patients. The study aimed to identify potential links between CML, diabetes, and CAD and to assess if these factors could serve as predictive biomarkers.

Research methods

To achieve these objectives, this study enrolled 200 consecutive CAD patients undergoing coronary angiography. The patients were categorized into two groups based on their serum glycosylated hemoglobin (HbA1c) levels, with diabetic CAD patients (group I) having HbA1c levels of ≥ 6.5 and non-diabetic CAD patients (group II) with HbA1c levels < 6.5. Various parameters, including lipoprotein levels, plasma HbA1c levels, CML, interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), and nitric oxide levels, were analyzed to assess the differences between the two groups.

Research results

The study revealed several significant findings. Group I, comprising 81 males and 19 females, had a mean age of 54.2 ± 10.2 years, with a mean diabetes duration of 4.9 ± 2.2 years. Group II, consisting of 89 males and 11 females, had a mean age of 53.2 ± 10.3 years. Group I exhibited more severe CAD, with a higher percentage of patients suffering from triple vessel disease and more severe stenosis in the left anterior descending coronary artery compared to group II. Group I patients also had a larger left atrium diameter. Significantly, group I patients displayed higher levels of CML, TNF-α, and IL-6 and lower levels of nitric oxide compared to group II patients. The study also demonstrated strong correlations between CML and inflammatory markers, with CML showing a significant positive correlation with IL-6 (r = 0.596, P = 0.001) and TNF-α (r = 0.337, P = 0.001) and a negative correlation with nitric oxide (r=-4.16, P = 0.001). Odds ratio analysis indicated that patients with CML in the third quartile (264.43-364.31 ng/mL) were significantly associated with diabetic CAD at both unadjusted and adjusted levels when considering various covariates.

Research conclusions

CML and inflammatory markers, particularly IL-6 and TNF-α, may play a significant role in the development of CAD, especially in individuals with diabetes. These findings suggest that CML and inflammatory markers can serve as potential biomarkers for predicting CAD, not only in diabetic patients but also in non-diabetic individuals. Understanding the mechanisms linking CML and inflammation to CAD provides valuable insights for improved CAD diagnosis, risk assessment, and management, which can ultimately contribute to reducing the burden of this life-threatening disease.

Research perspectives

Future studies should explore interventions targeting CML and inflammatory markers to mitigate CAD risk. Investigating therapeutic strategies and diagnostic tools based on these biomarkers can aid in early CAD detection and personalized treatment, potentially reducing CAD-related mortality rates globally.