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. 2025 Feb 24;17(2):e79546. doi: 10.7759/cureus.79546

Association of NOS3 (rs1799983) and DDAH2 (rs805305) Gene Polymorphisms With Coronary Artery Disease in the Northern Indian Cohort

S M Shiraz Rizvi 1, Farzana Mahdi 1,✉, Jyoti Dwivedi 1, Bashir Ahmad Mir 2, Zeashan H Zaidi 3, Namakkal Soorappan Rajasekaran 4
Editors: Alexander Muacevic, John R Adler
PMCID: PMC11938321  PMID: 40144407

Abstract

Introduction and objectives: Nitric oxide synthase (NOS3) and dimethylarginine dimethylaminohydrolase 2 (DDAH2) polymorphisms are associated with reduced nitric oxide (NO) synthesis and endothelial dysfunction, increasing the risk of cardiovascular disease (CVD). This study aimed to analyze the single nucleotide polymorphism (SNP) of the NOS3 and DDAH2 genes and to identify their association with the risk of coronary artery disease (CAD).

Materials and methods: NOS3 (rs1799983) and DDAH2 (rs805305) single nucleotide polymorphisms (SNPs) were analyzed in 148 ST-elevation myocardial infarction (STEMI) patients and 75 healthy subjects (control) using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Results were analyzed using descriptive statistics and summarized as mean ± standard deviation. Chi-square was used to determine the association between variables of interest.

Results: The G894T NOS3 SNP was significantly linked to STEMI risk (p=0.003), with the TT genotype (20.3%) and T allele (39.5%) more frequent in cases than controls. The TT genotype was strongly associated with increased STEMI risk (OR=4.33 (95% CI: 1.57-12.04), p < 0.0001). For the DDAH2 SNP, the GG genotype was more common in cases (30.4%) than in controls (20.0%), while the CC genotype was less frequent in cases (16.9%) compared to controls (28.0%) (p=0.026, OR=0.40 (95% CI: 0.17-0.90)).

Conclusion: These findings link the G894T NOS3 polymorphism to heightened STEMI risk, particularly in patients with diabetes, and highlight the association of DDAH2 SNPs with CAD, emphasizing the prevalence of GG genotypes in STEMI cases.

Keywords: coronary artery disease, ddah2, endothelial dysfunction, nos3, polymorphism

Introduction

Coronary artery disease (CAD) arises from complex genetic and environmental interactions. Among acute coronary syndromes (ACS), ST-elevation myocardial infarction (STEMI) is the most severe, caused by prolonged coronary artery blockage and extensive cardiac damage [1]. Nitric oxide (NO), a crucial signaling molecule, maintains endothelial cell function and plays a key role in CAD pathophysiology. One of the most dominant endogenous vasodilators is NO. It causes inhibition of platelet adhesion and aggregation, inhibits migration of vascular smooth muscle cells, regulates the interaction of vessel and platelet, and decreases the formation of atherogenic oxidized low-density lipoprotein (OxLDL); therefore, dysregulated NO production is associated with endothelial dysfunction and heightened cardiovascular risk [2].

Genetic variations, particularly single nucleotide polymorphisms (SNPs) in genes nitric oxide synthase (NOS3) and dimethylarginine dimethylaminohydrolase 2​​​​​​​ (DDAH2), influence CAD susceptibility [3]. The NOS3 gene, which codes for endothelial nitric oxide synthase (eNOS), is expressed in the endothelium and is located on chromosome number 7q35-36, and it contains 25 introns and 26 exons, which encode for an mRNA of 4052 nucleotides, which leads to the production of a protein eNOS containing 1203 amino acids, which catalyzes the production of NO and L-citrulline from L-arginine [4]. The G894T polymorphism of NOS3 exon 7 is considered to lead to decreased production of NO, as the variation in genotype changes the linear structure of the protein molecule, and it is likely that it changes some properties of the eNOS enzyme, which leads to its altered function, which leads to damage of the endothelium, and further increases STEMI risk. It has been demonstrated in studies that the eNOS protein, which contains Asp at position 298, undergoes specific proteolysis in the endothelium and vascular tissues [5,6]. Therefore, the cleaved fragments would be likely to have significantly decreased nitric oxide synthase activity. The Glu298Asp SNP also affects the localization of eNOS to the caveolar membrane.

Currently, asymmetrical dimethyl arginine (ADMA) is considered a risk factor for cardiovascular diseases, and subsequent to its entry from blood vessels into the cell, it is metabolized largely by the enzyme dimethylarginine dimethylaminohydrolase (DDAH). ADMA is metabolized to citrulline and dimethylamine by the activity of DDAH [7,8]. The gene encoding DDAH-2 is present on chromosome 6p21.3. Variants like −449 G/C in the promoter region of the DDAH2 gene are linked to the inheritable risk of CAD and increased prevalence of STEMI [9]. Dysfunctional NO metabolism, a hallmark of CAD, impairs vasodilation and contributes to thrombosis, inflammation, and vascular proliferation, exacerbating STEMI progression [10,11]. NOS3 gene polymorphisms, such as allelic variants affecting NO production, further illustrate the genetic basis of CAD [12,13].

Understanding genetic determinants, including NOS3 and DDAH2 polymorphisms, is critical for identifying at-risk individuals and elucidating mechanisms underlying CAD progression [14]. This study investigates the role of these SNPs in STEMI patients, with and without diabetes, to enhance insights into genetic influences on CAD.

Materials and methods

Study population

This study assessed the NOS3 (rs1799983) and DDAH2 (rs805305) gene SNPs in CAD patients (n=148) and healthy control subjects (n=75) at Era University Hospital, and the study was performed during the period from June 1, 2021 to May 30, 2024. Patients were categorized into STEMI and STEMI with known diabetes mellitus groups. Electrocardiography (ECG) and 2D-echocardiography (2D-ECHO) were done as investigative procedures for the diagnosis of STEMI, and genotyping was performed for all the subjects. Informed consent was obtained from all participants, and the study was approved by the Institutional Ethical Committee of Era University, Lucknow, following ethical guidelines for human subject research.

Selection of STEMI subjects

ST-segment elevation (STE) is a key indicator of complete coronary artery occlusion without collateral circulation, which can lead to irreversible infarction in a significant area of ischemic myocardium, requiring immediate reperfusion therapy [15]. Patients with acute chest pain were evaluated for STEMI using ECG criteria from the American Heart Association, American College of Cardiology, European Society of Cardiology, and World Heart Federation. STE is considered significant when the J point in at least two adjoining leads measures ≥2 mm (0.2 mV) in men or ≥1.5 mm (0.15 mV) in women in leads V2-V3, and ≥1 mm (0.1 mV) in other contiguous leads. STE specificity in STEMI is increased by reciprocal changes (ST depression in leads opposite the major vessel of injury). STEMI is also considered equivalent to a new left bundle branch block. In leads V2-V3, the cutoff for STE is >0.2 mV in men over 40 years, >0.25 mV in men under 40 years, and >0.15 mV in women. The QRS complex aligns with ST-segment elevation of 1.0 mm or more, and Sgarbossa’s criteria are used to assess patients with pre-existing left bundle branch block [16].

Inclusion and exclusion criteria for the study

The study included patients aged 25 to 65 years with clinically relevant STEMI, defined as ≥1 coronary segment with ≥50% stenosis in at least one of the 15 coronary segments. The patients were divided into two groups: those with and without the secondary complication of diabetes mellitus. Control subjects were normal, healthy adults, and the patients were willing and able to provide written consent; they were also matched with case groups for age and gender. Patients with stenosis <50%, critical illness, septicemia, malignancy, pregnancy, acute or chronic kidney disease, cerebrovascular accidents, immunocompromised conditions, and those under 25 years of age were excluded from the study.

Data collection and blood sampling

Clinical, biochemical, and molecular investigations were conducted to gather data on patient demographics, history of secondary complications (such as diabetes), family history, SNPs, and associated clinical factors. After obtaining informed consent, a 2 mL blood sample was collected from each patient into the vial containing ethylenediaminetetraacetic acid (EDTA). The EDTA vial was stored at −20°C for genotype analysis.

Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP)

NOS3 Genotype Identification at the rs1799983 Locus

Polymerase chain reaction (PCR) was used to amplify the polymorphic region of the NOS3 gene at the +894 (G/T) position (Figure 1A), followed by restriction fragment length polymorphism (RFLP) analysis. The PCR reaction was performed in a 20 µL volume, containing 2 µL of genomic DNA, 10 µL of Taq PCR mix (Takara) with 1 mmol/L MgCl2, 100 mmol/L dNTPs, and 0.5 U Taq polymerase, and 2 µL of the following primers (IDT): Forward: 5’-CAT GAG GCT CAG CCC CAG AAC-3’ and Reverse: 5’-AGT CAA TCC CTT TGG TGC TCA C-3’ and 6 µL double distilled water. Amplification was performed of extracted DNA with a concentration of 50-100 ng/µL, and the PCR conditions used were denaturation at 95ºC for five minutes, followed by 40 cycles of 94ºC for 30 seconds, 66ºC for 30 seconds, 72ºC for 30 seconds, and final extension at 72ºC for eight minutes. Digestion was performed with the MboI (New England Biolabs, MA, USA) restriction enzyme. This generated three profiles: homozygous wild-type GG (one 206 bp fragment), heterozygous GT (three fragments: 206, 119, and 87 bp), and homozygous mutant TT (two fragments: 119 and 87 bp) (Figure 1B) [10]. The digested products were separated by 3% agarose gel electrophoresis, stained with ethidium bromide (EtBr), and visualized under UV light.

Figure 1. Intergenotypic comparison of the NOS3 gene in STEMI patients and healthy controls.

Figure 1

A: PCR product image of various samples analyzed using 2% agarose gel electrophoresis, showing a 206 bp amplicon of the NOS3 gene spanning polymorphic site (rs1799983) (Lanes with amplicons are labeled from 1 to 7 and Lane M represents – 100 bp DNA size marker).

B: Restriction fragment length polymorphism (RFLP) analysis of the G/T polymorphism in exon 7 of the NOS3 gene, using 3% agarose gel electrophoresis after MboI digestion of the PCR product. Lane M: DNA size marker - 100 bp; Lane 1 and 6: GG (206 bp); Lane 2, 3, 5, and 7: GT (206 bp, 119 bp, and 87 bp); Lane 4: TT (119 bp and 87 bp).

C: A bar graph comparing the percentage of genotypes of the NOS3 gene between STEMI and healthy control groups, where the GG genotype was less frequent in STEMI cases (41.2%) than in controls (58.7%), while the GT genotype in STEMI (38.5%) showed no significant difference with controls (34.7%). The TT genotype was significantly more common in STEMI (20.3%) compared to controls (6.7%).

D: A percentage comparison of allele frequencies for the G/T polymorphism of the NOS3 gene between the STEMI and healthy control groups, where the T allele was more frequent in STEMI cases (39.5%) than in controls (24.0%), while the G allele was less common in cases (60.5%) than in controls (76%).

STEMI: ST-elevation myocardial infarction; NOS3: nitric oxide synthase; PCR: polymerase chain reaction

DDAH2 Genotype Identification at the rs805305 Locus

The PCR-RFLP method was used to genotype ​​DDAH2 at the rs805305 locus. The reaction mix included 2 μL genomic DNA, 10 µL of Taq PCR mix (Takara) with 1 mmol/L MgCl2, 100 mmol/L dNTPs and 0.5 U Taq polymerase, and 2 µL of the primers (IDT) and 6 µL double distilled water to a final volume of 20 μL. The target region was amplified with primers (Forward: 5’-CCT TCT CGT TCG GGT ATT CAG-3’ and Reverse: 5’-TCC AGA CCT TCC GCT CCT-3’). PCR conditions: denaturation at 95ºC for one minute, followed by 45 cycles of 95ºC for 20 seconds, 64ºC for 20 seconds, 72ºC for 30 seconds, and final extension at 72ºC for six minutes (Figure 2A). The 341 bp PCR products were digested with 5 U of SmaI (New England Biolabs) restriction enzyme and incubated overnight at 37ºC. Digested products were separated by 3% agarose gel electrophoresis. The resulting bands were wild-type GG (341 bp), heterozygous GC (341, 254, and 87 bp), and homozygous CC (254 and 87 bp) (Figure 2B) [17].

Figure 2. Genotype and allele distribution of the DDAH2 gene in STEMI patients and healthy controls.

Figure 2

A: PCR product image of various samples analyzed using 2% agarose gel electrophoresis, showing a 341 bp amplicon of the DDAH2 gene spanning polymorphic site (rs805305) (Lanes with amplicons are labeled from 1 to 7, and Lane M represents – 100 bp DNA size marker).

B: Restriction fragment length polymorphism (RFLP) analysis of the G/C polymorphism at the rs805305 locus in the DDAH2 gene, using 3% agarose gel electrophoresis after SmaI digestion of the PCR product. M: DNA size marker - 100 bp; Lane 1 and 3: GG (341 bp); Lane 2, 4, 6, and 7: GC (341 bp, 254 bp, and 87 bp); Lane 5: CC (254 bp and 87 bp).

C: A bar graph comparing the percentage of genotypes of the DDAH2 gene between STEMI and healthy control groups, where the GG genotype was more frequent in STEMI (30.4%) than in controls (20.0%) while the GC genotype in STEMI (52.7%) showed no significant difference with controls (52.0%). The CC genotype was less common in STEMI (16.9%) compared to controls (28.0%).

D: A percentage comparison of allele frequencies for the G/C polymorphism of the DDAH2 gene between the STEMI and healthy control groups, where the G allele was more frequent in STEMI cases (56.8%) than in controls (46.0%), while the C allele was less common in cases (43.2%) than in controls (54%).

STEMI: ST-elevation myocardial infarction; DDAH2: dimethylarginine dimethylaminohydrolase 2; PCR: polymerase chain reaction

Statistical analysis

Statistical analysis was performed using IBM SPSS Statistics for Windows, Version 21 (Released 2012; IBM Corp., Armonk, New York, United States). The chi-square test (χ²) with a p-value < 0.05 was used to assess the association between genotypes and risk factors. Hardy-Weinberg Equilibrium (HWE) was tested for both case groups (Group I: STEMI and Group II: STEMI with diabetes mellitus) and controls (Group III: healthy subjects). Odds ratios (OR) with a 95% confidence interval (CI) were calculated to evaluate the association between genotypes and CAD risk, with significance set at p < 0.05.

Results

The study compares demographic variables between ST-elevation myocardial infarction (STEMI) cases and healthy controls (Table 1). The mean age of STEMI patients was 53.7 ± 8.0 years, compared to 52.6 ± 8.0 years in controls, with no significant difference (t=1.01, p=0.315). Among STEMI cases, 62.2% (n=92) were male and 37.8% (n=56) female, while controls comprised 64% (n=48) males and 36% (n=27) females, showing no significant difference in sex distribution (chi-square=0.07, p=0.789). These results suggest that the groups are well-matched in terms of age and sex, making them suitable for comparison.

Table 1. Comparison of demographic variables between cases of STEMI (n=148) and healthy controls (n=75).

STEMI: ST-elevation myocardial infarction

Variable Case (STEMI) Control (Healthy) Sig.
Age Mean±SD years 53.7±8.0 52.6±8.0 t=1.01, p=0.315
Sex Male 92 (62.2%) 48 (64%) chi sq=0.07, p=0.789
Female 56 (37.8%) 27 (36%)

Next, we examined the association of NOS3 and DDAH2 gene variants with STEMI risk compared to healthy controls (Table 2). For the NOS3 SNP, the GG genotype was less frequent in STEMI cases (41.2%) (n=61) than in controls (58.7%) (n=44), while the GT genotype showed no significant difference (p=0.136). The TT genotype, however, was significantly more common in STEMI patients (20.3%) (n=30) compared to controls (6.7%) (n=5) (p=0.003, OR=4.33) (Figure 1C). Similarly, the T allele was more frequent in STEMI cases (39.5%) (n=117) than in controls (24.0%) (n=36) (p=0.001, OR=2.07) (Figure 1D). For the DDAH2 SNP, the GG genotype was more frequent in STEMI (30.4%) (n=45) than in controls (20.0%) (n=15), while the CC genotype was less common in STEMI (16.9%) (n=25) compared to controls (28.0%) (n=21) (p=0.026, OR=0.40), suggesting the CC genotype is non-pathogenic (Figure 2C). Additionally, the G allele was more prevalent in STEMI cases (56.8%) (n=168) than the C allele (43.2%) (n=128) (p=0.032, OR=0.65) (Figure 2D) (Table 3). These results highlight significant genetic differences associated with STEMI risk.

Table 2. Shows 95% CI comparison of genotypic variants between STEMI and healthy controls in relation to NOS3 and DDAH2 single nucleotide polymorphism.

The statistical test used was chi-square (X2) to obtain the p-values. Ref. shows the reference category, comparative to this category all the p-values and risk ratios were calculated.

STEMI: ST-elevation myocardial infarction; SNP: single nucleotide polymorphism; NOS3: nitric oxide synthase; DDAH2: dimethylarginine dimethylaminohydrolase 2

Gene Case (STEMI) (n=148) Control (Healthy) (n=75) Significance OR (95% CI)
No. % No. % chi sq p-value
NOS3 SNP (rs1799983) Genotype
Wild GG 61 41.2% 44 58.7% Ref.   ‘-- 1.00 
Heterozygous mutant GT 57 38.5% 26 34.7% 2.22 0.136 1.58 (0.86-2.89)
Homozygous mutant TT 30 20.3% 5 6.7% 8.80 0.003 4.33 (1.57-12.04)
DDAH2 SNP (rs805305) Genotype
Wild GG 45 30.4% 15 20.0% Ref.   ‘-- 1.00 
Heterozygous mutant GC 78 52.7% 39 52.0% 1.30 0.254 0.67 (0.33-1.34)
Homozygous mutant CC 25 16.9% 21 28.0% 4.95 0.026 0.40 (0.17-0.90)

Table 3. Shows 95% CI comparison between STEMI and healthy controls in relation to NOS3 and DDAH2 allele frequency.

Statistical analysis was done using the chi-square (X2) test to obtain the p-values.

SNP: single nucleotide polymorphism; STEMI: ST-elevation myocardial infarction; NOS3: nitric oxide synthase; DDAH2: dimethylarginine dimethylaminohydrolase 2

Gene Case (STEMI) allele (n=296) Control (Healthy) allele (n=150) Significance OR (95% CI)
No. % No. % chi sq p-value
NOS3 SNP (rs1799983) G 179 60.5% 114 76.0% 10.62 0.001 0.48 (0.31-0.75)
T 117 39.5% 36 24.0% 10.62 0.001 2.07 (1.33-3.22)
DDAH2 SNP (rs805305) G 168 56.8% 69 46.0% 4.63 0.032 1.54 (1.04-2.29)
C 128 43.2% 81 54.0% 4.63 0.032 0.65 (0.44-0.96)

We analyzed the distribution of NOS3 and DDAH2 genetic variants across three groups: Group I (STEMI without diabetes, n=71), Group II (STEMI with diabetes, n=77), and Group III (healthy controls, n=75) (Table 4). For the NOS3 SNP, the GG genotype was significantly less frequent in Groups I (43.7%) (n=31) and II (39.0%) (n=30) compared to controls (58.7%) (n=44) (p=0.020). The TT genotype was most prevalent in Group II (24.7%) (n=19) compared to Group I (15.5%) (n=11) and controls (6.7%) (n=5). The T allele frequency was significantly higher in Group II (42.9%) (n=66) than in Groups I (35.9%) (n=51) and III (24.0%) (n=36) (p=0.002).

Table 4. Comparison of NOS3 and DDAH2 genotypic variants among STEMI, STEMI with diabetes, and healthy controls.

Table showing genotypic (GG, GT, TT) frequencies of the NOS3-G894T polymorphism among STEMI (n=71), STEMI with diabetes (n=77), and healthy controls (n=75). Percentage comparison of genotypes (GG, GC, CC) of the DDAH2 G/C polymorphism across the STEMI (n=71), STEMI with diabetes (n=77), and healthy controls (n=75).

SNP: single nucleotide polymorphism; STEMI: ST-elevation myocardial infarction; DM: diabetes mellitus; NOS3: nitric oxide synthase; DDAH2: dimethylarginine dimethylaminohydrolase 2

Gene Group I (STEMI) (n=71) Group II (STEMI with DM) (n=77) Group III (Healthy) (n=75) Significance
No. % No. % No. % chi sq p-value
NOS3 SNP (rs1799983) Genotype
Wild GG 31 43.7% 30 39.0% 44 58.7% 11.64 0.020
Heterozygous mutant GT 29 40.8% 28 36.4% 26 34.7%
Homozygous mutant TT 11 15.5% 19 24.7% 5 6.7%
DDAH2 SNP (rs805305) Genotype
Wild GG 21 29.6% 24 31.2% 15 20.0% 5.89 0.208
Heterozygous mutant GC 40 56.3% 38 49.4% 39 52.0%
Homozygous mutant CC 10 14.1% 15 19.5% 21 28.0%

For the DDAH2 SNP, the GG genotype was more common in Groups I (29.6%) (n=21) and II (31.2%) (n=24) compared to controls (20.0%) (n=15). The CC genotype was least frequent in Group I (14.1%) (n=10) and most frequent in controls (28.0%) (n=21), though this difference was not significant (p=0.208). The G allele was more prevalent in Groups I (57.7%) (n=82) and II (55.8%) (n=86) compared to controls (46.0%) (n=69), with no significant association (p=0.094) (Table 5).

Table 5. Distribution of genotype allele frequency in NOS3 and DDAH2 between STEMI without diabetes, STEMI with diabetes, and healthy controls.

Table showing allele (G, T) frequencies of the NOS3-G894T polymorphism among STEMI (n=71), STEMI with diabetes (n=77), and healthy controls (n=75). Percentage comparison of allele (G, C) frequencies of the DDAH2 G/C polymorphism across the STEMI (n=71), STEMI with diabetes (n=77), and healthy controls (n=75).

SNP: single nucleotide polymorphism; STEMI: ST-elevation myocardial infarction; DM: diabetes mellitus​​​​​​​; NOS3: nitric oxide synthase; DDAH2: dimethylarginine dimethylaminohydrolase 2

Gene Group I (STEMI) allele (n=142) Group II (STEMI with DM) allele (n=154) Group III (Healthy) allele (n=150) Significance
No. % No. % No. % chi-sq p-value
NOS3 SNP (rs1799983) Allele
G 91 64.1% 88 57.1% 114 76.0% 12.23 0.002
T 51 35.9% 66 42.9% 36 24.0%
DDAH2 SNP (rs805305) Allele
G 82 57.7% 86 55.8% 69 46.0% 4.73 0.094
C 60 42.3% 68 44.2% 81 54.0%

Discussion

Genetic and environmental risk factors for CAD and STEMI have been widely studied [18,19]. CAD is a multifactorial and polygenic disease, but the role of NOS3 and DDAH2 polymorphisms in cardiac patients of Indian origin remains unclear. Notably, studies have presented that people of the Indian subcontinent have a higher susceptibility to CAD, where an increased incidence of the premature onset of CAD has been observed in Indians, and disease pathology occurs earlier than in different ethnic groups [20]. This study establishes an association between NOS3 (rs1799983) and DDAH2 (rs805305) gene polymorphisms in STEMI patients from North India, highlighting their high prevalence in this population.

The endothelial isoform of nitric oxide synthase makes nitric oxide (NO) in endothelial cells. NO then goes into vascular smooth muscle cells and relaxes them. This helps keep the tone and structure of the blood vessels in balance. Because of this, eNOS is necessary for vascular homeostasis, and low NO levels caused by NOS3 gene dysfunction lead to endothelial dysfunction, which is a key factor in STEMI development [21,22]. Mainly, L-arginine conversion produces endogenous NO, and the reaction is catalyzed by eNOS. NO is a highly lipophilic, diffusible, and gaseous signaling molecule that diffuses rapidly inside the target cells, mainly the vascular smooth muscle cells and neurons. Animal studies confirm that eNOS deficiency depletes NO production, underscoring its critical role in cardiovascular health [23,24]. In this study, the homozygous mutated TT genotype of the NOS3 SNP was significantly more frequent in STEMI cases (20.3%) (n=30) than in healthy controls (6.7%) (n=5), strongly associating it with STEMI risk. On assessing the alleles, the G allele was less common in cases than in controls, while the T allele was significantly higher in cases when compared to controls, which presents a significant association. The higher prevalence of the T allele in cases further supports its role in CAD pathogenesis. Previous studies have demonstrated that the pathogenesis of STEMI can be due to various risk factors such as intake of sodium, alcohol consumption, obesity, and smoking. In addition, this study signifies that SNP findings of these genes in the given population can also be suggestive of CAD incidence.

The endogenous molecule asymmetric dimethylarginine (ADMA), an inhibitor of eNOS enzyme activity, leads to a decrease in NO concentration, which shows its significance in the pathogenesis of CAD. DDAH2 enzyme hydrolyzes ADMA, promoting NO production and maintaining vascular health [25]. Studies in DDAH-null mice show that reduced DDAH expression increases ADMA levels, decreases NO, and raises blood pressure, suggesting that impaired DDAH2 activity may increase CAD risk [26,27].

This study found the GG genotype of the DDAH2 SNP more prevalent in STEMI patients, while the CC genotype was less frequent in cases (16.9%) (n=25) than in controls (28.0%) (n=21), with a significant association that suggests that this homozygous mutated type may have a protective role in preventing CAD pathogenesis. Regarding the alleles, the G allele was more common in cases than in controls, while the C allele was significantly less frequent in cases compared to controls, with a significant association. These findings further link DDAH2 polymorphisms to CAD. Results on DDAH2 polymorphisms have been mixed, with some studies showing associations with ADMA levels and CAD, while others, such as Maas et al., found no link [28], possibly due to differences in sample size, ethnicity, or regional genetic variations.

These findings suggest that different genotypic variants of NOS3 and DDAH2 genes can be used as a predictive marker and help identify STEMI patients, but further research is needed to refine diagnostic methods.

Limitations

This study provides valuable insights but has a few limitations. First, it primarily focuses on a specific ethnicity, limiting the generalizability of the findings across the globe. Broader studies with diverse and larger sample sizes are needed to address this limitation. Technically, while DNA sequencing remains the gold standard for identifying SNPs, its high cost poses a significant challenge in countries like India. Further research involving larger patient cohorts is essential to better define populations at risk for the NOS3 and DDAH2 SNPs. Using PCR-RFLP as a preliminary method to assess CAD risk at the genetic level, followed by sequencing, could provide a more comprehensive understanding of the disease’s underlying mechanisms.

Conclusions

Identifying genetic markers such as NOS3 and DDAH2 polymorphisms can enhance early diagnosis and personalized treatment for STEMI patients. The study found a strong link between the G894T NOS3 TT genotype and increased STEMI risk, especially in patients with diabetes. It also revealed an association between the DDAH2 GG genotype and CAD, with the CC genotype offering a protective effect. These markers can aid in patient classification, improving prevention and treatment strategies.

Acknowledgments

We are really grateful to Prof. (Dr.) Abbas Ali Mahdi, Vice Chancellor, Era University, Lucknow for his guidance to complete this study and we would also like to acknowledge Mr. Abhishek Pratap Singh and Mr. Ale Eba, and the Medical and Research staff and our colleagues at Era's Lucknow Medical College & Hospital for their support and contributions in this study.

Disclosures

Human subjects: Consent for treatment and open access publication was obtained or waived by all participants in this study. Institutional Ethics Committee, Era's Lucknow Medical College & Hospital, Era University, Lucknow issued approval ELMC &H/ R_Cell/EC/2020/17.

Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue.

Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following:

Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work.

Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work.

Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.

Author Contributions

Concept and design:  Farzana Mahdi, Namakkal Soorappan Rajasekaran

Critical review of the manuscript for important intellectual content:  Farzana Mahdi, Bashir Ahmad Mir, Namakkal Soorappan Rajasekaran, Zeashan H. Zaidi

Supervision:  Farzana Mahdi, Namakkal Soorappan Rajasekaran

Acquisition, analysis, or interpretation of data:  S. M. Shiraz Rizvi, Jyoti Dwivedi, Bashir Ahmad Mir, Zeashan H. Zaidi

Drafting of the manuscript:  S. M. Shiraz Rizvi, Jyoti Dwivedi

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