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Associations of Serum Levels of cGAMP in the Context of COVID-19 Infection, Atherosclerosis, Sterile Inflammation, and Functional Endothelial Biomarkers in Patients With Coronary Heart Disease and Healthy Volunteers

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25 June 2024

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26 June 2024

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Abstract
Abstract: Background: COVID-19 is associated with various changes in immunity, including signaling through the pattern-recognition receptors (PRR). However, the role of these processes is poorly understood. The present study aimed to evaluate the relationships of the serum levels of the cyclic dinucleotide 2’3’-cyclic GMP-AMP (cGAMP) marker of PRR activation with immunoglobulin G antibodies against severe acute respiratory syndrome-linked coronavirus (IgG-SARS)-positive status and endothelial dysfunction in apparently healthy subjects and in patients with coronary heart disease (CHD). Methods: The present study investigated selected groups from two cohorts, including cohort 1 of 307 healthy volunteers and cohort 2 of 218 CHD patients. COVID-19 infection was confirmed by the detection of IgG-SARS against SARS-CoV-2 S1 protein receptor-binding domain. Cohort 1 (24–69 years of age; 44.8 ± 8.6 years; 80.4% men) was examined for systematic coronary risk evaluation by European Society of Cardiology (SCORE) starting from 2019 before the onset of the COVID-19 pandemic. Cohort 2 (63±10.9 years of age, 54% men) was processed starting from 2017 (three years prior to the COVID-19 pandemic) in a hospital setting to undergo coronary angiography to assess coronary lesions as Gensini score. The levels of cGAMP and endothelial markers (nitrate and nitrite combined as NOx and endothelin-1) were assessed in the serum to evaluate the associations with IgG-SARS status, SCORE, and extent of coronary lesions by correlation and receiver operating characteristic (ROC) analyses. Results: Serum cGAMP did not discriminate between SARS-positive and SARS-negative healthy subject of cohort 1. Moreover, the level of cGAMP was not associated with endothelial biomarkers in healthy subjects. However, serum cGAMP was associated with atherosclerosis in cohort 2 in patients with CHD (area under the curve (AUC) 0.69; 95% CI 0.587-0.806; P=0.001), indicating that serum cGAMP was lower in patients with coronary stenosis compared to that in patients without coronary lesions. Conclusions: Low levels of serum cGAMP were associated with atherosclerosis and markers of endothelial dysfunction in patients with CHD. However, cGAMP was not associated with endothelial biomarkers or IgG-SASR immune status in healthy subjects, suggesting that cGAMP may be a new biomarker of coronary lesions in the context of sterile inflammation.
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1. Introduction

A viral infection may have harmful effects on the cardiac function due to transcriptional and posttranslational modifications that disrupt the gap junctions, influence immune response, or mediate the development of cardiomyopathy [1]. The cyclic dinucleotide 2’3’-cyclic GMP-AMP (cGAMP) is considered a marker of pattern-recognition receptor (PRR) activation and sterile inflammation. cGAMP is produced by the cytosolic double-stranded DNA (dsDNA) sensor enzyme cGAMP synthase (cGAS) in response to the presence of aberrant dsDNA in the cytoplasm. In general, cytosolic dsDNA is associated with intracellular invasion of DNA viruses or certain bacterial or with cellular DNA damage. cGAMP acts as a second messenger to activate the stimulator of interferon genes (STING), which is the central hub of cytosolic dsDNA sensing, to eventually induce type-I interferon and proinflammatory cytokine responses against infections, cancer, or cellular stress [2]. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is RNA-containing coronavirus, which is the pathogen of COVID-19. SARS-CoV-2 is not expected to influence the activity of cGAS, accumulation of cGAMP, or activation of STING directly since this virus does not contain dsDNA. However, infection with SARS-CoV-2 is known to trigger autophagy that involves intracellular degradation process to maintain cellular homeostasis and combat the invading pathogen. Autophagy antagonizes interferon production possibly by promoting STING degradation [3]. On the other hand, genetic deletion of STING in apolipoprotein E-deficient (ApoE-/-) mice was shown to reduce atherosclerotic lesions spontaneously developing in these animals [4]. Moreover, a recent study demonstrated direct STING-independent cGAMP-dependent effects of cGAS activation by dsDNA in the endothelium on vascular smooth muscle relaxation [5].
The mechanisms and target of sterile inflammation in patients with coronary heart disease (CHD) and healthy subjects after COVID-19 are poorly understood. The aim of the present study was to elucidate the associations of serum cGAMP levels with endothelial dysfunction markers and the presence of antibodies against the spike protein receptor-binding domain (S1 RBD) of SARS-CoV2 (IgG-SARS-CoV-2) in apparently healthy subjects with elevated cardiovascular risk assessed by systematic coronary risk evaluation by European Society of Cardiology (SCORE) and in patients with coronary atherosclerosis, which represents the advanced stage of endothelial dysfunction.

2. Materials and Method

2.1. Participants

The study included randomly selected groups of male and female participants 25–80 years of age from two cohorts 1 and 2.

Apparently Healthy Subjects (Cohort 1)

Cohort 1 included healthy volunteers (N = 307; 24–69 years of age; 44.8 ± 8.6 years; 80.4% men) without prior record of cardiovascular diseases or other significant comorbidities. The cohort 1 subjects were volunteers over 18 years of age participating in the microcirculation study that started in 2019 in National Research Center for Preventive Medicine (NRCPM), Moscow, Russia [6]. Evaluation of the participants included assessment of baseline cardiovascular characteristics and biochemical parameters in the blood at the time of the recruitment visit. The following exclusion criteria were applied: any acute inflammation, including oral or dental inflammation, at the enrollment date; hematological diseases; left ventricular ejection fraction below 40%; diabetes mellitus; chronic kidney, liver, or heart failure; oncological diseases; mental illness; autoimmune diseases; any blood sugar lowering therapy; any cholesterol-lowering therapy; pregnancy; and lactation. The protocol of the study was approved by the local Independent Ethics Committee of NRCPM (protocol number 01/01-2019 of February 12, 2019). The study was compliant with the guidelines of the Helsinki Declaration and WHO. All participants gave their written informed consent to participate in the study and to grant access to their personal data.
Body weight of the participants was measured at a 0.1-kg precision using an electronic scale (Seca Ltd., Hamburg, Germany). Height was measured using a stadiometer to the nearest 0.1 cm (Seca Ltd.). The body mass index (BMI) was calculated according to the equation: weight/height2 (kg/m2). Cohort 1 participants were examined for preventive counseling and estimation of SCORE according to the European Guidelines on cardiovascular disease prevention [7]. SCORE assessment included gender, age, systolic blood pressure (SBP), total cholesterol, and use of tobacco.

Patients with CHD (Cohort 2)

Cohort 2 included 218 patients (63±10.9 years of age, 54% men) treated at NRCPM as described previously [8]. Eligible patients were over 25 years of age and signed an informed consent for inclusion in the study and the collection and biobanking of the blood. Inclusion criteria were as follows: over 18 years of age, signed an informed consent, and underwent coronary angiography. All patients of cohort 2 had clear indications for coronary angiography performed by the method of Judkins [9] according to current European Society of Cardiology guidelines [10,11] by using Philips Integris Allura Cath Lab and the GE Innova 4100 IQimaging system (General Electric, Fairfield, CT, USA). Stenosis was quantified using the Advantage Workstation software version 4.4 (General Electric). Indications for angiography included positive exercise test, positive stress echocardiography, symptoms of advanced angina pectoris, arrhythmia, pathological changes in electrocardiogram with physical inability to perform exercise or stress tests, or high Duke score.
Exclusion criteria for cohort 2 were as follows: myocardial infarction within 6 months of admission; any acute inflammatory disease; chronic kidney failure stage III and higher with rate of glomerular filtration below 60 ml/min/1.73 m2; decompensated diabetes mellitus type I or type II with levels of glycated hemoglobin over 7.5%; left ventricular ejection fraction below 40%; any oncological disease; familial hypercholesterolemia; any hematological disease; and immune and autoimmune diseases. Additional details have been provided in our previous publications. [11,12]
Blood pressure and heart rate were measured as described previously [12]. The patients were examined, diagnosed, stratified, and treated from 2011 to 2016 according to the National Guidelines for diagnosis and treatment of stable angina [13]. The study complied with all relevant national regulations and institutional policies. Study protocols have been approved by the Independent Ethics Committee of NRCPM (approval no. 09-05/19) according to the guidelines of the Helsinki Declaration and WHO. All participants gave their written informed consent to participate in the study and to grant access to their personal data.

2.2. Blood Sampling

Blood was withdrawn from the cubital vein after 12–14-h fasting on the date of the visit at the baseline of the study. The serum was obtained by centrifugation at 1,000 g for 15 min at 4 °С. Apparently healthy asymptomatic individuals (cohort 1) were specifically asked to limit smoking and consumption of high nitrate containing foods for at least 24 h prior to their visit to the hospital. Patients of cohort 2 suspected of having CHD were admitted to the hospital at least 24 h prior to blood sampling and were fed a controlled hospital diet that limits consumption of dietary nitrate. Serum was aliquoted and stored at −26 °C.

2.3. Endothelial biomarkers

The endothelin/NOx ratio was used as a surrogate marker of balance between vasodilatory and vasoconstrictor mediators. Concentrations of nitrite and nitrate (NOx) were assayed in the serum deproteinized by filtration through Spin-X UF-5000 molecular weight cutoff concentrators (Corning, UK) as described previously [14]. Nitrate was reduced to nitrite with vanadium (III) chloride (Sigma, USA), and NOx levels were measured by the Griess reaction as described [14,15] with modifications (CV<9%). Endothelin-1 was measured using an ELISA kit (Affymetrix Bioscience, Santa Clara, CA, USA). Linear range of the assay was from 0.5 to 10 fmol/mL; CV<5%.

2.4. Detection of cGAMP

cGAMP was measured in serum samples (N=168 and N=88) selected from cohorts 1 and 2, respectively, by competitive ELISA using commercial ELISA kits (Invitrogen, ThermoFisher Scientific, USA) according to manufacturer instructions.

2.5. Detection of IgG antibodies against SARS-CoV-2 S1 RBD

Immunoassay for qualitative detection of IgG antibodies against SARS-CoV-2 S1 RBD (IgG-SARS) was performed using an anti-SARS-CoV-2 ELISA E111-IVD kit (Mediagnost, Germany) by two-step ELISA with recombinant SARS-CoV-2-S1 RBD according to the manufacturer instructions as described elsewhere [6]. Deionized water (Aquasmart, Russia) was used to dissolve the reagents. The samples were considered antibody-positive at >5-fold cut-off value or if the optical density was higher than 0.830. The samples with <3-fold cut-off value were considered antibody-negative. Samples from 3-fold to 5-fold cut-off or with the intermediate optical density values were considered borderline positive. The cut-off values were selected to ensure the exclusion of false positive results with a high probability. The assay was characterized by 95.55% sensitivity, 98.36% specificity, and 10.6% inter-assay variance [16].

2.6. Routine Blood Tests

Routine tests were performed in NRCPM using specific guidelines approved by Center for External Quality Control of Clinical Laboratory Testing of Russian Federation (www.fsvok.ru, accessed on September 10, 2021). Clinical blood tests were performed on an MEK-8222 K automatic hematology analyzer (Nihon Kohden, Saitama, Japan). Serum lipids were assayed as described previously [17]. In brief, serum levels of total cholesterol (mmol/L), high density lipoprotein (HDL)-cholesterol (mmol/L) after precipitation of apoB-containing low density lipoproteins (LDL), and triglycerides (mmol/L) were assayed using an Architect c8000 autoanalyzer and reagents from Abbot Diagnostics, Lake Forest, Illinois, USA. The level of LDL-cholesterol (mmol/L) was calculated according to the Friedwald equation in the samples with serum triglycerides below 4.5 mmol/L. C-reactive protein (CRP; mg/L) was assayed by high sensitivity quantitative immunoturbidimetric method enhanced with latex particles (universal range 0.3–350 mg/L; highly sensitive range 0.05–20 mg/L) using an Architect c8000 analyzer and reagents from Abbot Diagnostics. Plasma glucose level (mmol/L) was assayed by the hexokinase method using the same autoanalyzer and reagents from Abbot Diagnostics.

2.7. Statistical Analysis

The data were analyzed using IBM SPSS Statistics 23 and Statistica software version 8.0 (StatSoft, Inc., USA). Some clusters of the data did not pass the Kolmogorov-Smirnov test for normality of distribution; therefore, we used non-parametric tests for all calculations. Continuous variables are presented as the median (25%; 75%), and categorical variables are presented in percentages. Sample size and power were estimated using the online calculator Sampsize https://sampsize.sourceforge.net/iface/s2.html#nm (accessed on September 10, 2021). Comparisons between the two groups were performed by a post-hoc test for Kruskal-Wallis, the Dunn’s test . P values < 0.05 were considered significant.

3. Results

The study included a total of 256 men and women randomly selected from two different cohorts to represent various stages of endothelial dysfunction evaluated as elevated SCORE (varied from 0 to 20) in healthy volunteers of cohort 1[6] or as coronary atherosclerosis evaluated using Gensini score [18] (varied from 0 to 197) in CHD patients of cohort 2 [11,12]. Patients with higher Gensini score corresponded to advanced clinical stages of endothelial dysfunction. Functional markers, including NOx and endothelin-1, were used as indicators of endothelial dysfunction.
Cohort 1 was enrolled in a microcirculation study in 2019–2021, and the participants were gradually infected with SARS-CoV-2 during the course of the COVID-19 pandemic [6]. All participants of cohort 1 had no complaints for pre-existing cardiovascular diseases, thrombotic events, or other serious comorbidities. General characteristics of the group selected from cohort 1 are listed in Table 1. Clinical and biochemical parameters of these participants varied within the corresponding normal ranges, indicating that the participants were apparently healthy. IgG-SARS antibodies were assayed in the blood samples of cohort 1, and serum cGAMP level was measured in 168 samples of cohort 1. This selected group of cohort 1 (N=168) was divided into two subgroups according to the IgG-SARS status: positive (+) (N=56) or negative (-) (N=112). All tested parameters were compared between these subgroups using Mann-Whitney U test (Table 1). The levels of tested parameters were similar between the subgroups of healthy volunteers with SARS(+) and SARS(-) status, except sex (Table 1).
The groups selected from cohort 1 and 2 were not balanced in sex or age. Thus, associations of sex and age with various tested parameters were estimated, including serum cGAMP, NOx, and endothelin-1 in combined cohorts 1 and 2. The results indicated the lack of associations with sex and age (data not shown).
Cohort 2 comprised patients with signs of CHD who underwent coronary angiography. The group selected from cohort 2 (N=88) was divided into two equal subgroups according to the severity of coronary stenosis lesions: presence of coronary lesions corresponding to advanced endothelial dysfunction (N=44) and absence of coronary lesions corresponding to moderate endothelial dysfunction (N=44). Various parameters were compared between the two patient subgroups using a post-hoc test for Kruskal-Wallis, the Dunn’s test (Table 1). The levels of routine biomarkers, such as CRP and glucose, were increased in patients with coronary stenosis compared with those in patients without coronary lesions (Table 1). Total and HDL-cholesterol levels were decreased in patients with coronary stenosis compared with those in patients without coronary stenosis apparently because of statin treatment routinely prescribed to patients in the subgroup with coronary lesions.
A total of 145 healthy subjects with low SCORE index (0-1) and SARS(-) status were selected from cohort 1 to represent normal endothelial function, and associations between endothelial markers (endothelin-1 and NOx) with cGAMP were evaluated (Table 2). In these subjects, the levels of cGAMP were not correlated with endothelial markers (Table 2). This subgroup of healthy subjects was expanded by combining with the subgroup of heathy subjects with low SCORE (0-1) and IgG-SARS(+) status (Table 3). In this case, the IgG-SARS-CoV-2 status was correlated with endothelial markers (NOx and endothelin-1) but there were no correlations with cGAMP. Serum endothelin-1 and NOx levels were decreased in IgG-SARS(+) subjects compared with those in IgG-SARS(-) subjects: 1.77±0.96 vs 1.38±1.1 (P=0.018) and 30.99±22.98 vs 24.47±12.67 (P=0.05), respectively.
Thus, COVID-19 was linked to endothelial function, while cGAMP was not involved in these associations in apparently healthy individuals. Additionally, the cGAMP levels were not associated with IgG-SARS status in the group selected from cohort 1 with variable SCORE (Table 1 and Table 4). However, serum endothelin-1 was directly correlated with SCORE in subjects with SARS(-) status with r= 0.38 (P=0.0001) and in subjects with SARS(+) status with r = 0.47 (P=0.0001) (Table 4). The NOx levels were directly correlated with SCORE but only in SARS(+) participants (r=0.43; P=0.001) (Table 4). Thus, higher SCORE was linked to higher levels of endothelin-1 regardless of IgG-SARS status, and only IgG-SASR(+) subjects displayed an association of SCORE with NOx.
In contrast to cohort 1, serum levels of cGAMP were associated with advanced level of endothelial dysfunction in cohort 2 in patients with atherosclerosis, and cGAMP was lower in patients with coronary stenosis compared with that in patients without coronary stenosis (Table 1). The data of ROC analysis (AUC=0.69; 95% CI 0.587-0.806; P=0.001) confirmed the associations between cGAMP, as a continuous variable, with coronary lesions (presence/absence), as a binary variable, in CHD patients of cohort 2 (Fig 1).
Coronary stenosis expressed as Gensini score (continuous variable) in patients with advanced endothelial dysfunction was inversely correlated with serum NOx levels in CHD patients of cohort 2 (Table 5). This association was confirmed by the data of ROC analysis when coronary lesions were presented as a binary variable (no lesions/stenosis of any degree) and NOx (continuous variable) (AUC=0.69; 95% CI 0.62-0.77; P=0.0001) (Fig 1). However, serum endothelin-1 was not associated with the presence of coronary lesions in CHD-patients (Table 5).
Advanced endothelial dysfunction in CHD-patients (presence of coronary stenosis) and apparently healthy subjects without endothelial dysfunction with SARS(+) status was associated with lower NOx levels. Higher extent of endothelial dysfunction corresponding to higher SCORE was associated with higher levels of serum NOx and endothelin-1. Healthy subjects with IgG-SARS(-) status demonstrated no correlations of SCORE with NOx or endothelin-1.
Thus, these results demonstrated that cGAMP, as a marker of sterile inflammation, was able to discriminate severe coronary stenosis in CHD-patients and was not associated with early stages of endothelial dysfunction in subjects with elevated SCORE. Moreover, cGAMP was not linked to the IgG SARS(+) and (-) immune status in healthy participants and was not associated with SCORE.

4. Discussion

Recognition of microbial and viral nucleic acids is a major mechanism of pathogen detection and neutralization by the immune system [19]. SARS-CoV-2 still poses a global threat due to several highly transmissible variants and long COVID-19 [20]. SARS-CoV-2 can trigger autophagy associated with lysosomal degradation of STING that mediates type I interferon production in response to infection. Autophagy is an intracellular degradation process that maintains cellular homeostasis required for efficient defense against pathogens [4].
STING is one of the key mediators of the cGAS-cGAMP-STING pathway. cGAS produces cGAMP in response to cytosolic dsDNA to activate innate immune responses mediated by STING [2]. Additionally, the cGAS–cGAMP-STING pathway is able to detect almost any dsDNA that is present in the cytosol as a result of cellular DNA damage in the case of abnormal DNA damage response similar to the processes detected in many tumor cells.
Replication of pathogens inside the cell engages various cytosolic sensors, depending on the pathogen structure. These sensors are known as pattern-recognition receptors. For example, NOD-like receptor (NLR) family is involved in the detection of a variety of microbial toxins and general cellular damage to trigger certain downstream signaling pathways mediated by inflammasomes. Receptors of the RLR family detect viral RNA in the cytosol to trigger a signaling cascade that leads to the production of type I interferons and inflammatory cytokines [2,21].
SARS-CoV-2 is the member of the Orthocoronavirinae subfamily of RNA-containing coronaviruses, with its genome encoding for 29 nonstructural, structural, and accessory proteins [22]. The data of the present study indicated that serum cGAMP did not discriminate between the SARS(+) and SARS(-) statuses in apparently healthy individuals because SARS-CoV-2 is a single-stranded RNA virus that does not influence the cGAS–cGAMP-STING pathway due to the lack of dsDNA. However, cGAMP may be linked to certain signaling pathways regulated by the NLR/RLR systems, which detect the presence of viral RNA in the cytosol [2,21]. The NLR family pyrin domain-containing 3 inflammasome is known to be the key mediator in sterile inflammatory responses [23]. On the other hand, endogenous DNA fragments produced in the cytosol due to aberrant DNA damage provoke sterile inflammation through cGAS. Thus, STING has been actively studied in atherogenesis [4]. For example, hypercholesterolemic apolipoprotein E-deficient (ApoE-/-) mice fed a western-type diet show an increase in STING expression and in markers of DNA damage, such as single-stranded DNA accumulation in macrophages in the aorta. Moreover, the levels of cGAMP, a STING agonist, in the aorta are higher in ApoE-/- mice, and genetic deletion of STING in ApoE-/- mice reduces atherosclerotic lesions and the expression of inflammatory mediators in the aorta. The authors concluded that STING stimulates the activation of proinflammatory macrophages, leading to the development of atherosclerosis, and STING is a potential therapeutic target for atherosclerosis.[4] The data of the present study are generally consistent with these observations because serum cGAMP was able to discriminate between CHD-patients with and without coronary lesions.
Inflammation plays an important role in cardiometabolic diseases. Sterile inflammation is a non-infectious innate immune response largely induced by damage-associated molecular patterns (DAMP) via PRR and is closely associated with the development and progression of various cardiovascular diseases. [23] Thus, we aimed to study the associations between serum cGAMP and endothelial dysfunction that represents one of the initial stages of cardiovascular lesions in atherosclerosis. We used serum NOx and endothelin-1 as surrogate markers of endothelial function. Healthy subjects of cohort 1 with SCORE indexes 0 and 1 were used as the reference. In the present study, associations of serum endothelin-1 or NOx were detected only if SCORE index was elevated in healthy subjects or when the subjects were IgG-SARS positive (Table 4) and in patients with CHD. However, the data indicated that cGAMP was not associated with endothelial function in healthy subjects of cohort 1.

5. Conclusions

Serum cGAMP level was similar in IgG-SARS(+) and IgG-SARS(-) healthy individuals of cohort 1. In contrast, serum levels of cGAMP were decreased in patients with coronary stenosis in cohort 2 compared with that in patients without coronary stenosis. Endothelial dysfunction was associated with cGAMP in CHD patients but endothelial function was not associated with cGAMP in healthy subjects. Thus, low serum cGAMP was associated with coronary stenosis in patients with advanced endothelial dysfunction.

Funding

The research was supported by the Russian Science Foundation (project No. 23-25-00025).

Institutional Review Board Statement

The protocol of the study was approved by the local Independent Ethics Committee of NRCPM (protocol number 01/01-2019 of February 12, 2019) and was compliant with the guidelines of the Helsinki Declaration and WHO.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data are available from the corresponding author on reasonable request.

Acknowledgments

The research was supported by the Russian Science Foundation (project No. 23-25-00025).

Conflicts of Interest

The authors declare that they have no competing financial interest or personal relationships that could have appeared to influence the work reported in this paper.

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Figure 1. ROC analysis of the associations (A) of cGAMP (continuous variable) with coronary lesions (binary variable; 0, without coronary lesions corresponding to Gensini score 0 versus 1 with any coronary lesions; AUC=0.69; 95% CI 0.587-0.806; P=0.001) and (B) NOx (continuous variable) with coronary lesions (binary variable; 0, without coronary lesions corresponding to Gensini score 0 versus 1 with any coronary lesions; AUC=0.69; 95% CI 0.62-0.77; P=0.0001).
Figure 1. ROC analysis of the associations (A) of cGAMP (continuous variable) with coronary lesions (binary variable; 0, without coronary lesions corresponding to Gensini score 0 versus 1 with any coronary lesions; AUC=0.69; 95% CI 0.587-0.806; P=0.001) and (B) NOx (continuous variable) with coronary lesions (binary variable; 0, without coronary lesions corresponding to Gensini score 0 versus 1 with any coronary lesions; AUC=0.69; 95% CI 0.62-0.77; P=0.0001).
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Table 1. General and biochemical characteristics of selected groups from cohort 1of healthy volunteers with variable IgG-SARS status and from cohort 2 of CHD patients.
Table 1. General and biochemical characteristics of selected groups from cohort 1of healthy volunteers with variable IgG-SARS status and from cohort 2 of CHD patients.
Parameters Healthy volunteers from cohort 1 (N=168) Patients with CHD from cohort 2 (N=88)
SARS (-) (N=112) SARS (+)
(N=56)
P Coronary stenosis present (N=44) Coronary stenosis absent (N=44) P
Sex (men, %) 82.1 50.9 0.0001 68 40 0.000
Median (25%; 75%) Median (25%; 75%)
Age. (years) 46.0 (40.0; 51.0) 47.0 (40.0; 54.0) 0.73 64.5 (57.7; 72.0) 61.5 (55.0; 70.2) 0.27
BMI (kg/m2) 27.4 (24.1; 30.9) 25.0 (22.9; 28.2) 0.31 29.5 (26.8; 32.5) 29.2 (26.5; 31.6) 0.67
SBP (mm Hg) 122.0 (114.0; 130.0) 120.0 (112.0; 130.0) 0.16 130.0 (120.0; 140.0) 130.0 (120.0; 135.0) 0.23
DBP (mm Hg) 80.0 (77.5; 85.0) 80.0 (70.0; 90.0) 0.58 72.5 (65.0;80.0) 71.0 (65.0; 80.0) 0.77
Biochemical markers
cGAMP. (fmol/mL) 52.14 (41.20; 80.21) 52.34 (40.05; 71.03) 0.33 42.04 (30.01; 50.02) 50.92 (40.10; 60.21) 0.005
C-reactive protein (mg/L) 1.16 (0.53; 1.96) 1.23 (0.54; 2.42) 0.65 4.08(1.61; 9.37) 2.71(1.03; 6.00) 0.04
Fibrinogen (g/L) 3.60 (3.10; 3.80) 3.40 (2.90; 3.80) 0.057 4.75(4.20; 5.55) 4.70 (4.00; 5.50) 0.43
Total cholesterol (mmol/L) 5.50 (4 .90; 6.10) 5.30 (4.45; 6.25) 0.32 3.70 (3.00; 4.15) 4.10 (3.70; 4.90) 0.01
HDL-cholesterol mmol/L) 1.30 (1.13; 1.58) 1.40 (1.21; 1.66) 0.24 0.98(0.81; 1.11) 1.21 (0.96; 1.42) 0.003
LDL-cholesterol (mmol/L) 3.35 (2.97; 4.07) 3.25 (2.68; 3.97) 0.40 2.11(1.56; 2.58) 2.44 (1.79; 2.92) 0.06
Triglycerides (mmol/L) 1.18 (0.86; 1.60) 1.09 (0.77; 1.57) 0.45 1.34(1.06; 1.81) 1.43(1.02; 2.02) 0.71
Glucose (mmol/L) 5.70 (5.20; 6.00) 5.33 (4.90; 6.19) 0.19 6.15(5.67; 7.27) 5.40 (5.00; 5.85) 0.001
Endothelin-1 (pg/mL) 2.10 (1.54; 2.70) 1.64 (0.48; 2.35) 0.61 1.68 (1.41; 1.85) 1.86 (1.54; 2.14) 0.51
NOx (µmol/L) 24.12(19.04; 34.55) 23.21 (18.34; 29.73) 0.32 30.00 (24.49; 41.76) 41.79 (32.14; 58.93) 0.001
LDL, low density lipoprotein; HDL, high density lipoprotein; NOx, total concentrations of nitrate and nitrite. P<0.05 marked with color.
Table 2. Spearmen rank correlations in healthy volunteers (N= 144) selected from the cohort 1, with SCORE 0-1 and negative IgG-SARS status.
Table 2. Spearmen rank correlations in healthy volunteers (N= 144) selected from the cohort 1, with SCORE 0-1 and negative IgG-SARS status.
Parameter NOx, µmol/L Endothelin-1, pg/mL cGAMP, fmol/mL
NOx, µmol/L r -0.03 0.12
P 0.68 0.34
Endothelin-1, pg/mL r -0.03 0.19
P 0.68 0.14
cGAMP, fmol/mL r 0.12 0.19
P 0.34 0.14
Table 3. Spearmen rank correlations in healthy volunteers (N= 197) selected from cohort 1, with SCORE 0-1 and positive and negative IgG-SARS status.
Table 3. Spearmen rank correlations in healthy volunteers (N= 197) selected from cohort 1, with SCORE 0-1 and positive and negative IgG-SARS status.
Parameter NOx, µmol/L Endothelin-1,
pg/mL
cGAMP, pmol/mL IgG-SARS status
NOx, µmol/L r -0.03 0.08 -0.16*
P 0.67 0.37 0.01
Endothelin-1, pg/mL r -0.03 0.04 -0.19**
P 0.67 0.63 0.007
cGAMP, fmol/mL r 0.08 0.04 -0.04
P 0.37 0.63 0.62
*P<0.05; **P<0.001.
Table 4. Spearmen rank correlations in healthy volunteers of cohort 1, with variable SCORE from 0 to 20 in the SARS (-) and SARS (+) subgroups.
Table 4. Spearmen rank correlations in healthy volunteers of cohort 1, with variable SCORE from 0 to 20 in the SARS (-) and SARS (+) subgroups.
Parameter cGAMP, pmol/mL NOx, µmol/L Endothelin-1, pg/mL SCORE % cGAMP, fmol/mL NOx, µmol/L Endothelin-1, pg/mL SCORE %
SARS(-) SARS(+)
cGAMP, fmol/mL r 0.17 0.07 -0.08 -0.05 -0.17 -0.08
P 0.06 0.43 0.41 0.71 0.20 0.56
NOx, µmol/L r 0.17 0.001 -0.01 -0.05 0.16 0.43**
P 0.06 0.99 0.89 0.71 0.22 0.001
Endothelin-1, pg/mL r 0.07 0.001 0.38* -0.17 0.16 0.47*
P 0.43 0.99 0.0001 0.20 0.22 0.0001
SCORE % r -0.08 -0.01 0.38* -0.08 0.43* 0.47*
P 0.41 0.89 0.0001 0.56 0.001 0.0001
*P<0.001.
Table 5. Spearmen rank correlations for NOx, endothelin-1, and cGAMP with the extent of coronary stenosis evaluated as Gensini score in CHD patients of cohort 2.
Table 5. Spearmen rank correlations for NOx, endothelin-1, and cGAMP with the extent of coronary stenosis evaluated as Gensini score in CHD patients of cohort 2.
NOx, µmol/L Endothelin-1, pg/mL cGAMP, fmol/mL
Gensini score r -0.24* -0.06 -0.28*
P 0.0001 0.53 0.008
*P<0.001.
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