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Oxidative stress markers and C-reactive protein are related to severity of heart failure in patients with dilated cardiomyopathy.

1. Introduction

Dilated cardiomyopathy characterized by alteration in the structure and function of the myocardium with dilation and impaired contraction of the left ventricle (LV) or both ventricles (LV ejection fraction <40%) and is sometimes called nonischemic cardiomiopathy.

Deterioration of myocardial performance resulting in the development of exercise intolerance and sometimes limited daily activity as symptoms of heart failure (HF) mostly assessed according to New York Heart Association (NYHA) Functional Classification [1]. There are a few points which were considered as a cause of dyspnea and fatigue:

(1) hemodynamic parameters such as increased pulmonary capillary wedge pressure (PWP), pulmonary artery pressure (PAP), and pulmonary vascular resistance (PVR) [2];

(2) the inspiratory and expiratory muscle weakness [3];

(3) greater than normal phosphocreatine depletion and/ or acidosis in the peripheral working muscle associated with impaired oxygen delivery [4];

(4) mitochondrial dysfunction with impaired oxidative phosphorylation and defective electron transport chain at heart and skeletal muscles [4, 5].

One of hemodynamic features of dilated cardiomyopathy is increase of the pulmonary capillary wedge pressure (PWP) as indicator of elevated left ventricular filling pressure (preload). Up to 60% of patients with severe left ventricular (LV) systolic dysfunction may also present elevated pulmonary artery pressure due to passive transmission of elevated end diastolic pressure [6]. N-Terminal pro-B-type natriuretic peptide (NT pro-BNP) has become valuable biomarkers for confirming the diagnosis of HF correlated with hemodynamic abnormalities [7].

Left ventricle overload leads to a shift of fatty acid oxidation towards more efficient glucose oxidation. However, it also leads to reduction of maximal oxidative phosphorylation (OXPHOS) capacity with decreased activities of respiratory chain complexes and increase of electron leak [8].

Besides mitochondrial leakage reactive oxygen species (ROS) may arise from many sources, including vascular nicotinamide adenine dinucleotide oxidases [9], xanthine oxidases, autooxidation of catecholamines [10], and nitric oxide synthase activated by cytokines [11, 12]. Under physiological conditions their toxic effect can be prevented by such scavenging enzymes as superoxide dismutase (SOD), glutathione peroxidase (GSHPx), and catalase (CAT) as well as by other nonenzymatic antioxidants, but the elimination of ROS may be impaired because of decrease of antioxidant defense in human failing heart [13]. When the production of ROS exceeds the capacity of antioxidant defense, oxidative stress has a harmful effect on the integrity of biological tissue through lipid peroxidation cascades or direct oxidation of membrane proteins. Malondialdehyde (MDA) is one of the small-molecular-weight pieces resulting from the fragmentation of polyunsaturated fatty acids undergoing attack by ROS and is generally accepted index of lipid peroxidation [14].

Elevated circulating levels of inflammatory cytokines have been reported in heart failure, but most initial studies have focused on patient with cachexia or end stage failure (III and IV NYHA class) [15]. The further research have shown that serum concentrations of proinflammatory cytokines increase in patients as their functional heart failure classification deteriorates. Moreover, cytokines activation is unlikely to explain completely the association with neurohormonal activation [16]. Clinical and research studies revealed that low grade inflammation and also endothelial dysfunction in heart failure despite of its etiology may influence ROS formation [17, 18]. Recently a severe reduction in cardiopulmonary reserve and oxygen uptake efficiency concomitantly with an elevation of inflammatory biomarkers and prooxidative state in heart failure patients with preserved ejection fraction were found [19]. Moreover increased oxygen radical formation directly inside the human heart allografts was indicated but changes in the enzymatic antioxidative defense as adaptation to oxidative stress was biphasic and time limited [20].

We decided to assess potentially relationships between functional capacity, blood oxygenation, some echocardiographic parameters, invasive hemodynamic parameters, and serum biomarkers of reduction-oxidation reactions and inflammation in patient with heart failure due to dilated cardiomyopathy.

2. Study Group and Methods

2.1. Patients. We recruited 109 consecutive patients aged 18-80 years old with nonischemic dilated cardiomyopathy diagnosed according to the WHO criteria [21] who underwent right heart catheterisation (RHC) as routine assessment according to our heart transplantation protocol during hospitalization in our center between 01 January 2006 and 31 December 2011.

All patients were clinically stable; most of them received optimal conventional heart failure therapy including ACE inhibitor, [beta]-blocker, mineralocorticoid receptor antagonist (MRA), digitalis, and diuretics for at least 1 month (Table 1).

Exclusion criteria included history of inflammatory musculoskeletal disorders, recent infection, any hemodynamic significant coronary artery stenosis assessed by coronary angiography, valvular heart disease, connective tissue disease, endocrine disorders, renal insufficiency, infectious disease, malignancy, and alcohol abuse.

The control group for hs-CRP, uric acid, MDA concentrations, and activity of superoxide dismutase isoenzymes measurements consisted of 28 healthy volunteers.

The study protocol was approved by the Bioethics Committee of Medical University of Silesia. Written informed consent was obtained from all enrolled patients.

2.2. Clinical Assessments. Noninvasive clinical assessment included physical examination, ECG, and echocardiography. The NYHA classification was used to assess functional capacity [1].

Echocardiographic images were acquired in standard views as recommended by the American Society of Echocardiography Committee. Left ventricular end-diastolic volume (EDV) and end-systolic volume (ESV) were obtained from the apical 4- and 2-chamber views by the modified Simpson's method. Left ventricular ejection fraction (LVEF) was calculated in a standard manner as follows: (EDV - ESV) x 100/EDV, to assess ventricular systolic function.

Right heart catheterization (RHC) was performed by the use of Swan-Ganz catheter (Star Edwards Lifesciences) administered under local anesthesia (1% Lignocaine) via the right jugular vein into pulmonary artery. Then two samples of mixed venous blood (Sv[O.sub.2]) were collected in order to determine its saturation. After twenty minutes of stabilization of circulation parameters pulmonary wedge pressure (PWP), systolic pulmonary artery pressure (sPAP), diastolic pulmonary artery pressure (dPAP), and right atrium pressure (RAP) were measured. Cardiac output was measured by thermodilution using rapid bolus injection of 10 cc of cold saline. Systolic (sABP) and diastolic (dABP) systemic arterial pressure were measured noninvasively. Hemodynamic parameters were acquired five times--mean values were used for final evaluation. Acquired data enabled calculation of mean pulmonary artery pressure (mPAP) and mean systemic arterial pressure (mABP), pulmonary vascular resistance index (PVRI), and systemic vascular resistance index (SVRI).

(i) mPAP [mm Hg] equals the sum of dPAP and one-third of a subtraction of sPAP and dPAP in pulmonary artery (mPAP = dPAP + [sPAP - dPAP]/3).

(ii) mABP [mm Hg] equals the sum of diastolic arterial blood pressure (dABP) and one-third of a subtraction of systolic arterial blood pressure (sABP) and dABP (mABP = dABP + [sABP - dABP]/3).

(iii) PVRI [dyna-s-[cm.sup.-5]/[m.sup.2]] equals quotient of subtraction mPAP, PWP, and CI (PVRI = [mPAP - PWP]/ CI 79.9).

(iv) SVRI [dyna-s-[cm.sup.-5]/[m.sup.2]] equals quotient of subtraction mABP, RAP, and CI (SVRI = [mABP - RAP]/ CI 79.9).

Blood pressure parameters were expressed in millimeters of mercury [mm Hg], CI as liters per minute [L/min/[m.sup.2]]. Resistance was expressed in dyna-s-[cm.sup.-5]/[m.sup.2].

2.3. Biochemical Methods. Blood samples for laboratory assessments were obtained from the patients at time of RHC. Serum was separated by centrifugation at 1500 g for 10 minutes and was frozen at -70[degrees]C. Uric acid concentration was measured by colorimetric method (Roche, Cobas 6000e501). hs-CRP was determined in serum by ELISA method using commercially available kit. NT-proBNP was measured with the use of chemiluminescence method (Roche, Cobas 6000e501). Additionally, we also determined blood hemoglobin and serum creatinine concentrations using routine techniques.

SOD isoenzymes activity was determined with the use of spectrophotometric method by Oyanagui with KCN as the inhibitor of the CuZnSOD isoenzyme. CuZnSOD activity was taken as difference between total SOD activity and MnSOD activity. SOD activity was calculated against blank probe (containing bidistilled water). Enzyme activity was expressed as nitrite units (NU) per mL serum. One NU exhibits 50% inhibition of formation of nitrite ion under the method's condition [22].

Malondialdehyde was measured according to method described by Ohkawa using the reaction with thiobarbituric acid with spectrofluorimetric detection: excitation 515 nm and emission 552 nm. MDA concentration was calculated from the standard curve, prepared from 1,1,3,3-tetraethoxypropane [23].

All dilated cardiomyopathy patients (group D), for purpose of this study, were divided into two groups depending on functional capacity (group A: patient with mild limitation in daily activity, I and II NYHA class, and group B: patients with severe limitation in NYHA III or ambulatory class IV). Additionally redox and inflammatory parameters were analyzed in subgroup of patients according to severity of left ventricle dysfunction (LVEF [greater than or equal to]20%, group A1, and LVEF <20%, group B1).

2.4. Statistic. Normality of the distribution of the continuous data was analysed by Shapiro-Wilk test. If the distribution was normal, the data were presented as mean [+ or -] standard deviation and were compared with Student's t-test. If the distribution was nonnormal the data were presented as median with the first and fourth quartiles and were compared using "U" Mann-Whitney test. Categorical data were presented as absolute numbers and percentage and were compared using [chi square] test. Spearman correlation coefficient was counted for particular parameters. Results were considered statistically significant if P < 0.05. Lack of statistical significance was presented as NS (nonsignificant). Statistical analysis was performed with Statistica 10.0 software (Statsoft Inc., Tulsa, USA).

3. Results

3.1. Clinical and Laboratory Characteristics. One hundred nine patients with heart failure caused by nonischemic DCM aged 45.9 [+ or -] 10.8 years old (16 females) were finally enrolled into the study. All patients were clinically stable in the last one month. The twenty-eight healthy control subjects aged 38.1 [+ or -] 5.4 (5 females) were not significantly younger than the patients. Of all the patients studied, 26.6% were hypertensive and 11% had type 2 diabetes. The majority of patients were treated with [beta]-blockers (94.5%) and either an ACE (92.6%) (angiotensin-converting enzyme) inhibitor and/or an ARB (angiotensin receptor blocker). Most of the patients were treated with diuretics, spironolactone and digoxin (Table 1). The mean time from onset of symptoms of heart failure was 4.59 years and duration of illness did not differ between groups A and B.

Demographic, clinical, and laboratory data in patients with mild and severe limitation of functional capacity were presented in Tables 2 and 3. There were no abnormalities in value of creatinine clearance and hemoglobin concentration. NT-proBNP level was elevated. All the group of DCM patients characterized typical echocardiographic features of impairment of left ventricle systolic function. LVEF was severely depressed, consistent with advanced disease. Hemodynamic measurements showed elevated pulmonary wedge pressure and resulted in mild pulmonary hypertension with elevated PVRI. Simultaneously reduced cardiac index was detected. The reduced Sv[O.sub.2] was present (Table 3).

Patients of group B often used loop diuretics and oral anticoagulation (Table 1). There were no differences between groups in demographic and clinical data (Table 2). Lower saturation of mixed venous blood was detected in group B than in group A. NT-proBNP concentration was higher in group B compared to group A (Table 2). Moreover, group B was characterized by worse values of echocardiographic and hemodynamic parameters when compared to group A (Table 3).

3.2. Comparison of Redox State and Inflammation in Patients Stratified by NYHA Class. DCM patients presented higher concentrations of MDA and uric acid compared to control (Table 4). There was no difference in MDA concentration between groups A and B. UA concentration was significantly higher in group B than group A (Figure 1).

There were no differences in superoxide dismutase isoenzymes activity between control and all DCM patients (Table 4). But patients of group B presented significant higher MnSOD activity compared to both control and group A patients (Figure 1). hs-CRP concentration was higher in DCM patients compared to the control group and in group B compared to group A (Figure 1).

3.3. Comparison of Redox State and Inflammation in Patients Stratified by LVEF. Patients group B1 (lower LVEF) had significantly higher concentration of UA, hs-CRP and activity of both izoenzymes SOD in comparison to patients from group A1. MDA concentration was comparable (Figure 2). Except CuZnSOD, patients in B1 group had higher values of examined biomarkers than control (Figure 2, Table 4).

3.4. Correlations between Biomarkers and LVEF and Hemodynamic Parameters

3.4.1. Uric Acid. There were statistically significant positive correlations between uric acid concentration and mPAP (Figure 3) and PVRI. Uric acid concentration negatively correlated with LVEF (Table 5).

3.4.2. hs-CRP. hs-CRP concentration negatively correlated with LVEF. Positive correlations between hs-CRP and PVRI were found (Figure 4, Table 5).

3.4.3. Oxidative Parameters (CuZnSOD, MnSOD, and MDA). Both isoenzymes' activities positively correlated with mPAP and PWP. The negative correlations between them and LVEF were detected. There were no correlations between MDA concentration with LVEF and examined hemodynamic parameters (Table 5).

3.5. Correlations between Biomarkers. Sv[O.sub.2] negatively correlated with NT-proBNP concentration which is reflection of heart failure conditions. Additionally negative correlation between Sv[O.sub.2] and UA was detected. There is statistically significance positive correlation limit between MnSOD activity and NT-proBNP concentration (r = 0.194; P = 0.057). MnSOD positively correlated with CuZnSOD (Table 6) and with UA concentration (Figure 5).

The positive correlations between CRP concentration and activities of superoxide isoenzymes were found (Figures 6 and 7).

4. Discussion

Inflammation and oxidative stress may accompany especially decompensated heart failure and in some cases may be regarded as main cause of dilated cardiomyopathy [24]. In the present study we evaluated 109 patients with severe left ventricle systolic dysfunction, with different grade of symptoms, admitted to the hospital to routine procedure. It should be emphasized that patients were clinically stable and although they did not take antioxidants, they received the optimal treatment of heart failure. Both ACE inhibitors, like some [beta]-blockers, have proven antioxidant activity [25, 26]. We appraised the patients with nonischemic etiology of cardiomyopathy to rule out the additional elements in the pathogenesis heart failure like ischemia and inflammation associated with atherosclerosis.

We studied plasma concentration of UA and MDA, activity of SOD isoenzymes, and hs-CRP concentrations. MDA concentration was significantly increased in DCM patient compared to control. In two groups of patients with mild and severe limitation functional capacity (NYHA I, II and NYHA III, IV) we have found no significant differences in MDA level. There was no correlation between MDA level and severity of HF and echocardiographic and hemodynamic parameters. Our results are similar to previous reports which demonstrated increase in MDA level in patients with HF [27, 28]. Opposite to our results in some studies correlations between the plasma level of MDA and indices of HF severity such as NYHA class, LVEF, and ventricular dimension have been shown [29, 30]. Some differences may results from the inclusion in the study patients with HF of different etiology. However, Keith et al. [29] and McMurray et al. [31] found increased MDA level both in patients with HF of ischemic origin and in patients with other causes of HF. In another paper by Tingberg E. there was no change in MDA level and there was a significant correlation between MDA and PWP and no correlation with CI. The mean LVEF in patients included in this study was about twice higher than in our group.

In our DCM group concentration of UA was markedly increased in comparison to the control. The highest value of UA was observed in patient with severe HF. Furthermore, UA level correlated with LVEF and examined hemodynamic parameter without systemic arterial pressure. Recently Borghi et al. also have found inverse relation of serum UA to LVEF in male elderly patients with HF. One of the potential mechanisms which may explain this result is lower cardiac index leading to hypoxemia. There was a slight correlation between UA and Sv[O.sub.2] as indicator of tissue hypoxia in our study [32]. Leyva et al. have not observed correlation with LEVF but similar to us they have indicated the relationships between UA concentration and the functional capacity (NYHA class and maximal oxygen uptake) in patients with cardiac failure [33]. Previous studies have shown increased UA level not only in HF patients but also in patients with tissue hypoxemia due to obstructive sleep apnea or COPD [34, 35]. Accepted source of elevated UA in HF patients is breakdown of ATP to adenosine and hipoxanthine and increase in the generation of uric acid by xanthine dehydrogenase and xanthine oxidase. In addition, lactic acid generated during hypoxia can result in the urinary excretion of lactate that increases the absorption of urate in the proximal tubule [36]. UA concentration is known as a predictor of poor prognosis in heart failure patient [37]. During increased UA production we have observed increased ROS production and mitochondrial Mn-SOD activity. Increased ROS production connected with increased UA concentration results in increased Mn-SOD activity.

Previous studies by Hill and Singal demonstrated that HF subsequent to myocardial infarct was associated with the antioxidant decrease as well as increased oxidative stress [38]. In contrast there was no decrease in SOD activity in study by Tsutsui et al. [39]. Some results indicated that oxidative stress in HF might be primarily due to the enhancement of ROS generation rather than to the decline in antioxidant defense within the heart [39].

Our study demonstrates the elevated plasma SOD activity, mainly MnSOD in NYHA III-IV patients comparing to the I-II NYHA patients and control group. There were no changes in Cu,Zn-SOD activity between studied groups divided depending on NYHA class and control. Both MnSOD and CuZnSOD activity were higher in patients with lower LVEF.

For prevention the oxidative stress in heart failure patients we have seen adaptational increase of the enzymatic antioxidative defense represent by increase in MnSOD and CuZnSOD activity in group with LVEF <20% comparing to the group LVEF [greater than or equal to]20%. Comparing with the control group we have seen decrease of SOD activity in NYHA I, II and LVEF [greater than or equal to]20% group. This transition from decrease to increase in SOD activity in our HF patients may be the key factor providing a constant MDA level. Some different adaptational changes with increase of the antioxidative defense followed by the formation of a relative deficit were found by Schimke et al. in myocardial tissue of heart transplant recipients [20]. The importance of enhanced antioxidant activity to protect the contractile function of the surviving myocardium against the damaging influence of hypoxia/reoxygenation during the postinfarct period was indicated by Wagner et al. in rat's myocardial infarction model [40, 41].

Our data do not show the tissue origins of the markers of increased lipid peroxidation or SOD; both poorly perfused peripheral muscles and the myocardium could have contributed [42]. Lack of correlation between MDA and severity of HF is surprising.

The function of antioxidant system is not to remove these oxidants entirely but instead to keep them at the level below which they will trigger the inflammatory cascade, a series of intracellular and intranuclear signaling that results in the release of destructive inflammatory cytokines [43]. It has became evident that heart failure is associated with subclinical inflammation which is in agreement with study demonstrating non-specific elevation in levels of some proinflamatory markers, such CRP, TNF-alfa, Il-6 [24].

The positive correlation between CRP concentration and activities of superoxide isoenzymes suggests the existence of link between free radicals and inflammation in DCM. Rankinen observed additionally correlation between MDA and hs-CRP but we did not observe such correlation [14].

In our study we have observed increase in CRP level according to the NYHA class and LVEF. It was the same as the results obtained by Alonso-Martinez et al. [45]. An association between oxidative stress state parameters and inflammation markers could be explained through the action of cytokines that play a pivotal role in hs-CRP biosynthesis.

Unfortunately, we only have a number of pieces of the puzzle, but these pieces cannot yet be connected to provide final pathway of relationships between oxidative stress and inflammation. It would be valuable information to determine if examined parameters are capable of predicting prognosis in patients with chronic heart failure (CHF).

5. Conclusion

The correlation between MnSOD and mPAP, PWP, LVEF combined with correlation between MnSOD and NT-proBNP, CRP, and UA may indicate a link among increased mitochondrial ROS generation, severity of HF, systemic and pulmonary hemodynamic, and the level of inflammation in DCM patients. Thus it is plausible to think that mitochondria are an important source of ROS in the HF.

http://dx.doi.org/10.1155/2014/147040

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

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Celina Wojciechowska, (1) Ewa Romuk, (2) Andrzej Tomasik, (1) Bronislawa Skrzep-Poloczek, (2) Ewa Nowalany-Kozielska, (1) Ewa Birkner, (2) and Wojciech Jachec (1)

(1) Second Department of Cardiology, School of Medicine with the Division of Dentistry, Medical University of Silesia, M. C. Sklodowskiej 10 Street, 41-800 Zabrze, Poland

(2) Department of Biochemistry, School of Medicine with the Division of Dentistry, Medical University of Silesia, Jordana 19 Street, 41-808 Zabrze, Poland

Correspondence should be addressed to Celina Wojciechowska; wojciechowskac@wp.pl

Received 14 July 2014; Revised 28 September 2014; Accepted 29 September 2014; Published 23 October 2014

Academic Editor: Jan G. C. van Amsterdam

TABLE 1: Pharmacological treatment with division into groups
depending on NYHA class.

        All DCM   D (%)   NYHA I-II   A (%)
          (D)                (A)
        n = 109            n = 66

BB        103     94.50      61       92.42
ACE-I     101     92.66      62       93.94
ARB       39      35.78      26       39.39
MRA       99      90.83      59       89.39
AM        15      13.76       9       13.64
LD        66      60.55      31       46.97
TD        20      18.35      14       21.21
OAK       49      44.95      24       36.36
DIG       69      63.30      39       59.09

        NYHA III-IV   B (%)     [chi
            (B)                square]
          n = 43

BB          42        97.67      NS
ACE-I       39        90.70      NS
ARB         13        30.23      NS
MRA         40        93.02      NS
AM           6        13.95      NS
LD          35        81.40   P < 0.001
TD           6        13.95      NS
OAK         25        58.14   P < 0.05
DIG         30        69.77      NS

BB: [beta]-blocker; ACE-I: angiotensin converting enzyme
inhibitors; ARB: angiotensin receptor blockers; MRA:
mineralocorticoid receptor antagonist; AM: amiodarone; LD: loop
diuretic; TD: thiazide diuretic; OAK: oral anticoagulation; DIG:
digitalis.

TABLE 2: Clinical and selected laboratory results in all patients
and with division into groups depending on NYHA class.

                                    All DCM              NYHA I-II
                                      (D)                   (A)
                                    n = 109               n = 66

NYHA functional class              3/63/34/9               3/63
I/II/m/IV n (%)               (2.7/57.8/31.2/8.3)       (4.5/95.5)
Sex M/F n (%)                  91/16 (83.5/16.5)           53/13
Age Y [bar.X] ([+ or -] SD)   45.9 [+ or -] 10.8    47.2 [+ or -] 10.2
BMI [bar.X] ([+ or -] SD)     28.9 [+ or -] 18.4    30.1 [+ or -] 14.8
Duration of illness            4.6 [+ or -] 4.2      4.9 [+ or -] 4.5
Hypertension n (%)                 29 (26.6)                18
Diabetes mellitus n (%)            12 (11.0)                 6
NT-proBNP [pg/mL]                    820.5                 582.5
                                  346.5-1837            209.5-1883
Hemoglobin [g/L]              134.2 [+ or -] 32.0   138.3 [+ or -] 26.5
Creatinine clearance          123.0 [+ or -] 53.8   130.1 [+ or -] 47.3
  [mL/min]

                                  NYHA III-IV       A versus B
                                      (B)
                                    n = 43

NYHA functional class                34/9
I/II/m/IV n (%)                     (79/21)
Sex M/F n (%)                        40/3               NS
Age Y [bar.X] ([+ or -] SD)   43.9 [+ or -] 11.6        NS
BMI [bar.X] ([+ or -] SD)      27.0 [+ or -] 4.3        NS
Duration of illness            4.1 [+ or -] 3.7         NS
Hypertension n (%)                    11                NS
Diabetes mellitus n (%)                6                NS
NT-proBNP [pg/mL]                    2045           P < 0.001
                                   1045-3000
Hemoglobin [g/L]              127.6 [+ or -] 40.8       NS
Creatinine clearance          111.4 [+ or -] 32.8       NS
  [mL/min]

NYHA: New York Heart Association functional class; BMI: body mass
index; NT-proBNP: N-terminal pro-B-type natriuretic peptide.

TABLE 3: Results of selected echocardiographic and haemodynamic
parameters in all patients and with division into groups
depending on NYHA class.

                              All DCM               NYHA I-II
                                (D)                    (A)
                              n = 109                 n = 66

LVEF (%)                22.94 [+ or -] 7.10    25.13 [+ or -] 7.17
LVEDD [mm]             68.71 [+ or -] 10.85    67.27 [+ or -] 12.04
mPAP [mm Hg]            26.99 [+ or -] 9.66    23.14 [+ or -] 8.98
mABP [mm Hg]           92.21 [+ or -] 13.65    95.15 [+ or -] 14.40
PWP [mm Hg]             19.05 [+ or -] 8.34    15.79 [+ or -] 7.82
PVRI [dyna x s x       314.79 [+ or -] 212.1   270.4 [+ or -] 190.0
  [cm.sup.-5]/
  [m.sup.2]]
CI [L/min/[m.sup.2]]    2.19 [+ or -] 0.53      2.32 [+ or -] 0.44
Sv[O.sub.2] [%]        57.57 [+ or -] 10.99    59.32 [+ or -] 9.83

                           NYHA III-IV        A versus B
                               (B)
                              n = 43

LVEF (%)               19.45 [+ or -] 6.99    P < 0.001
LVEDD [mm]             71.00 [+ or -] 8.96     P < 0.05
mPAP [mm Hg]           33.12 [+ or -] 10.74   P < 0.001
mABP [mm Hg]           87.53 [+ or -] 12.60    P < 0.01
PWP [mm Hg]            24.26 [+ or -] 9.17    P < 0.001
PVRI [dyna x s x       385.6 [+ or -] 247.4    P < 0.01
  [cm.sup.-5]/
  [m.sup.2]]
CI [L/min/[m.sup.2]]    2.01 [+ or -] 0.66     P < 0.01
Sv[O.sub.2] [%]        54.76 [+ or -] 12.84    P < 0.05

LVEF: left ventricle ejection fraction; LVEDD: left ventricle
end-diastolic diameter; mPAP: mean pulmonary artery pressure;
mABP: mean arterial blood pressure; PWP: pulmonary wedge
pressure; PVRI: pulmonary vascular resistance index; CI: cardiac
index; Sv[O.sub.2]: mixed venous blood saturation.

TABLE 4: Redox biomarkers andhs-CRP in healthy controls and all
DCM patients and with division of them into groups depending on
NYHA class and LVEF.

                  Control       DCM          NYHA         NYHA
                     C           D           I-II        III-IV
                 (n = 28)    (n = 109)    A(n = 66)    B(n = 43)

MDA                1.31         4.37         4.47         4.26
[[micro]mol/L]   1.14-1.41   3.68-5.78    3.71-5.61    3.51-5.78

UA                  296         427          397         462,0
[[micro]mol/L]    266-330     345-500      331-471      358-566

MnSOD              8.89         9.04         7.23        10.52
[NU/mL]          7.76-9.70   4.16-13.74   3.49-12.65   5.91-14.82

CuZnSOD            5.37         4.88         4.72         5.92
[NU/mL]          3.09-5.95   2.60-6.79     2.49-6.1     3.88-7.3

hs-CRP             0.76         1.7          1.45         2.7
[mg/L]           0.53-1.53   0.71-4.34    0.47-3.27    1.11-9.68

                  P "U" Mann-          LVEF            LVEF
                   Whitney t      [greater than       < 20%
                                 or equal to] 20%   B1(n = 35)
                                    A1(n = 74)

MDA              [AvsB.sub.ns]
[[micro]mol/L]   AvsC < 0.001          4.51            4.00
                 BvsC < 0.001       3.71-5.27       3.70-5.29
                 DvsC < 0.001

UA                AvsB < 0.05          398             462
[[micro]mol/L]   AvsC < 0.001        334-480         409-590
                 BvsC < 0.001
                 DvsC < 0.001

MnSOD             AvsB < 0.05          6.58           11.39
[NU/mL]          [AvsC.sub.ns]      3.09-11.69      5.92-15.76
                  BvsC < 0.05
                    DvsCns

CuZnSOD          [AvsB.sub.ns]
[NU/mL]          [AvsC.sub.ns]         4.55            6.52
                 [BvsC.sub.ns]      2.49-6.12       3.47-8.53
                 [DvsC.sub.ns]

hs-CRP            AvsB < 0.05          1.85            3.29
[mg/L]            AvsC < 0.05       0.71-3.10       2.00-5.70
                  BvsC < 0.01
                  DvsC < 0.05

                   P "U" Mann-
                    Whitney t

MDA
[[micro]mol/L]   [A1vsB1.sub.ns]
                  A1vsC <0.001
                  B1vsC <0.001

UA                A1vsB1 < 0.01
[[micro]mol/L]    A1vsC < 0.001
                  B1vsC < 0.001

MnSOD             A1vsB1 <0.001
[NU/mL]          [A1vsC.sub.ns]
                  BlvsC < 0.05

CuZnSOD           A1vsB1 <0.05
[NU/mL]          [A1vsC.sub.ns]
                 [B1vsC.sub.ns]

hs-CRP            A1vsB1 < 0.01
[mg/L]            A1vsC < 0.01
                  B1vsC < 0.001

MDA: malondialdehyde; UA: uric acid; MnSOD: manganese superoxide
dismutase; CuZnSOD: cooper-zinc superoxide dismutase; hs-CRP:
high sensitivity C-reactive protein.

TABLE 5: Spearman r correlation between biomarkers and left
ventricle ejection fraction and hemodynamic parameters.

       NT-proBNP   Uric acid     CRP      Sv[O.sub.2]   MnSOD

LVEF    -0.547      -0.285      -0.240      0.027       -0.251
       P < 0.001   P < 0.01    P < 0.05      NS        P < 0.05

mPAP     0.548       0.236      0.161      -0.262       0.252
       P < 0.001   P < 0.05       NS      P < 0.05     P < 0.01

mABP    -0.373       0.114      -0.225      0.191       -0.085
       P < 0.001      NS          NS         NS           NS

PWP      0.563       0.167      0.084      -0.224       0.239
       P < 0.001      NS          NS      P < 0.05     P < 0.05

PVRI     0.252       0.236      0.236      -0.354       0.096
       P < 0.05    P < 0.05    P < 0.05   P < 0.001       NS

SVRI     0.177       0.194      -0.218     -0.262       -0.012
          NS          NS          NS      P < 0.05        NS

CI      -0.544      -0.193      0.072       0.428       -0.064
       P < 0.001      NS          NS      P < 0.001       NS

        CuZnSOD     MDA

LVEF    -0.190     0.114
       P = 0.051     NS

mPAP     0.243     -0.029
       P < 0.05      NS

mABP     0.021     -0.039
          NS         NS

PWP      0.247     -0.037
       P < 0.05      NS

PVRI     0.015     0.014
          NS         NS

SVRI     0.035     -0.098
          NS         NS

CI      -0.084     0.079
          NS         NS

NT-proBNP: N-terminal pro-B-type natriuretic peptide; CRP: C-
reactive protein; SV[O.sub.2]: mixed venous blood saturation;
MnSOD: manganese superoxide dismutase; CuZnSOD: cooper-zinc
superoxide dismutase; MDA: malondialdehyde; LVEF: left ventricle
ejection fraction; mPAP: mean pulmonary artery pressure; mABP:
mean arterial blood pressure; PWP: pulmonary wedge pressure;
PVRI: pulmonary vascular resistance index; SVRI: systemic
vascular resistance index; CI: cardiac index.

TABLE 6: Spearman r correlation between biomarkers.

              NT-ProBNP   Uric acid     CRP      Sv[O.sub.2]

NTproBNP                    0.167      0.062       -0.388
                             NS          NS       P < 0.001

Sv[O.sub.2]    -0.388      -0.192      0.189
              P < 0.001      NS          NS

Uric acid     0.167 NS                0.188 NS    -0.192 NS

CRP             0.062      -0.010                   0.189
                 NS          NS                      NS

MnSOD           0.194       0.220      0.286       -0.142
              P = 0.057   P < 0.05    P < 0.05       NS

CuZnSOD       0.154 NS    0.017 NS     0.364      0.102 NS
                                      P < 0.01

MDA            -0.058      -0.021      0.117       -0.062
                 NS          NS          NS          NS

                MnSOD      CuZnSOD       MDA

NTproBNP        0.194       0.154      -0.058
              P = 0.057      NS          NS

Sv[O.sub.2]    -0.142       0.102      -0.062
                 NS          NS          NS

Uric acid       0.220     0.017 NS    -0.021 NS
              P < 0.05

CRP             0.286       0.364       0.117
              P < 0.05    P < 0.01       NS

MnSOD                       0.344       0.080
                          P < 0.001      NS

CuZnSOD         0.344                 -0.057 NS
              P < 0.001

MDA             0.080      -0.057
                 NS          NS

NT-proBNP: N-terminal pro-B-type natriuretic peptide; CRP: C-
reactive protein; Sv[O.sub.2]: mixed venous blood saturation;
MnSOD: manganese superoxide dismutase; CuZnSOD: cooper-zinc
superoxide dismutase; MDA: malondialdehyde.
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Title Annotation:Research Article
Author:Wojciechowska, Celina; Romuk, Ewa; Tomasik, Andrzej; Skrzep-Poloczek, Bronislawa; Nowalany-Kozielska
Publication:Mediators of Inflammation
Date:Jan 1, 2014
Words:6803
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