Open Access

Serum oxidizability potential is associated with age and exercise test results

  • Ehud Goldhammer1, 2, 3Email author,
  • Yelena Rivlin1, 2,
  • Sergei Shnizer1, 2,
  • Allah Shanati1, 2,
  • Moran Sagiv1, 2 and
  • Uri Rosenschein1, 2
European Review of Aging and Physical Activity20107:60

DOI: 10.1007/s11556-010-0060-y

Received: 22 February 2010

Accepted: 22 February 2010

Published: 2 April 2010

Abstract

The purpose of this paper is to find out whether serum oxidizability potential measured before an exercise test (EXT) correlates with age and ischemic heart disease severity. Oxidizability potential was determined in 3 age groups, in gr. I patients < 45 years, in gr. II age \( {\hbox{range}} = {45} - {7}0{\hbox{years}} \), and in gr. III patients > 70 years. Included subjects had chronic ischemic heart disease (IHD) and underwent a symptom-limited EXT upon initiation of a cardiac rehabilitation program. The thermo-chemiluminescence (TCL) assay was used to assess serum oxidizability potential. This assay is based on heat-induced oxidation of serum, leading to the formation of electronically excited species in the form of unstable carbonyls, which further decompose into stable carbonyls and light energy (low chemiluminescence). Measured photons emission is represented by a kinetic curve which is described by its amplitude and slope (=ratio). We assessed the correlations of TCL ratio with age, exercise duration, metabolic equivalents (METS), maximal heart rate (mHR), maximal systolic BP, >1 mm S-T depression, diabetes, hypertension, smoking, left ventricular ejection fraction (LVEF)> or <40%, previous myocardial infarction, and aorto-coronary bypass surgery. A high TCL ratio (%) correlated well with METS (r = 0.82), mHR (r = 0.77) and with exercise-induced S-T segment shift (r = 0.86, p < 0.05). A lower serum oxidizability potential, expressed as a low TCL ratio, thus suggestive of a previous high oxidative stress, was found in the two older age groups compared to gr. I (<45 years), p = 0.041, and in particular, in gr. III patients with low LVEF%. The TCL ratio (%) in gr. III was 188.7 ± 14.5, 192 ± 17 in gr. II, and 214 ± 13 in gr. I (p < 0.05), and was 166 ± 13.1 in gr. III with LVEF < 45% as compared to 271 ± 15.7 in gr. I patients with LVEF > 45% (p < 0.01). A trend for lower TCL ratio (%) was found in diabetic, hypertensive, and post-coronary bypass surgery patients. A paradoxically low TCL ratio (low oxidizability potential) was observed in patients without S-T depression compared to patients with S-T depression (189 ± 22 vs. 201 ± 15, p = NS), due to the fact these patients had a much lower LVEF% and a lower exercise capacity. Serum oxidizability potential is associated with age, EXT parameters, results, and IHD severity. TCL ratio is an “easy-to-measure marker” that might be incorporated into risk assessment and prediction in aged IHD patients.

Keywords

Oxidative stress Exercise test Ischemic heart disease

Introduction

Oxidative stress reflects a condition in which the balance between reactive oxygen species (ROS) production and the subsequent response of the antioxidant defense system is lost, becoming skewed in favor of free radical expression [13]. Although a multitude of free radicals exists (hydrogen atoms, transition metal ions, carbon-centered radicals, sulfur-centered radicals, etc.), those derived from oxygen are referred to as ROS. ROS are highly reactive and very unstable molecules, which tend to initiate chain reactions resulting in irreversible chemical changes of lipids and proteins. These potentially deleterious reactions can result in profound cellular dysfunction and even cytotoxicity [4].

Aging is an inherently complex process that is manifested within an organism at genetic, molecular, cellular, organ, and system levels. Although the fundamental mechanisms are still poorly understood, a growing body of evidence points toward ROS as one of the primary determinants of aging. The “oxidative stress theory” holds that a progressive and irreversible accumulation of oxidative damage caused by ROS impacts on critical aspects of the aging process and contributes to impaired physiological function, increased incidence of disease, and a reduction in life span. While compelling correlative data have been generated to support the oxidative stress theory, a direct cause-and-effect relationship between the accumulation of oxidatively mediated damage and aging has not been strongly established [5, 6].

Recent data imply that measurement of oxidizability is a key to kinetic evaluation of oxidative processes of LDL, blood serum and other body fluids, and can be used for monitoring the oxidative stress in different diseases and antioxidant drug therapy [59]. The oxidizability of a biological sample is a measure of its susceptibility to oxidation. Growing evidence indicates that chronic and acute overproduction of ROS under pathophysiologic conditions is important for the development of cardiovascular diseases (CVD). ROS mediate various signaling pathways that underlie vascular inflammation in atherogenesis: from the initiation of fatty streak development through lesion progression to ultimate plaque rupture. Oxidative stress is the unifying mechanism for many CVD risk factors, which additionally supports its central role in CVD [10].

Evidence for increased oxidative stress has been found in plasma of patients with ischemic and nonischemic cardiomyopathy and correlates directly with the severity and chronicity of symptoms, and inversely with left ventricular ejection fraction (LVEF) [11, 12].

Free radical injury has also been implicated in the pathogenesis, evolution, and progression of heart failure [9, 1315]. Furthermore, with the evolution of heart failure, there is a progressive increase in free radical injury and reduction of antioxidant reserves, which impacts significantly on prognosis.

Single bouts of aerobic and anaerobic exercise can induce an acute state of oxidative stress. This is indicated by an increased presence of oxidized molecules in a variety of tissues. Exercise mode, intensity and duration, as well as the kind of population under study, can impact on the extent of oxidation [1622]. Exercise-induced oxidative stress has been investigated during and after exercise in chronic heart disease and chronic heart failure patients [13, 23, 24].

Most studies have shown an increased oxidative stress pre - and post-exercise However, no study has assessed the relationship between age, pre-exercise oxidizability potential, exercise test parameters, and EXT results.

Materials and methods

Selection of patients

Fifty-six chronic IHD patients, 13 females and 43 males, 11 ≤ 45 years (gr. I), 27 in age range 45–70 years (gr. II), and 18 ≥ 70 years (gr. III). Forty-seven patients (83.9%) had a previous myocardial infarction, 20 (35.7%) had an aorto-coronary bypass surgery (CABG), and 35 (62.5%) had a previous percutaneous intervention (PCI). Eighteen patients (32.1%) had diabetes mellitus (DM), 34 (60.7%) hypertension, and 35 (62.5%) dyslipidemia. Thirty-nine patients (69.6%) were in New York Heart Association (NYHA) classes II–III, and 17 (30.3%) in class I; patients in NYHA class IV were not included.

Twenty-nine patients (51.7%) had LVEF < 40%, and 27 (48.2%) had an ejection fraction (EF) > 40%, including four patients who had normal EF (≥55%). Patients with an acute or recent febrile illness, significant liver dysfunction, or renal failure (serum creatinine ≥ 2.0 mgr%) were excluded from the study (Table 1).
Table 1

Demographic and clinical data

 

Gr. I

Gr. II

Gr. III

Patients No.

11

27

18

S-T depression > 1 mm ↓

2 (18.2%)

19 (70.4%)

12 (66.7%)

METS

10.9 ± 0.6

7.4 ± 0.5

5.5 ± 0.6

Exercise Duration (min)

11.2 ± 1.1

7.5 ± 0.8

6.2 ± 0.5

Max Systolic BP (mmHg)

178 ± 10

147 ± 11

152 ± 12

Max HR (bpm)

159 ± 11

141 ± 9

127 ± 6

F.C. I

11 (100%)

3 (15.8%)

3 (25%)

F.C. II–III

0

16 (84.2%)

9 (75%)

EF% < 40

0

17 (62.9%)

12 (66.7%)

EF% > 40

11 (100%)

10 (37.15)

6 (33.3%)

Previous M.I.

4 (36.4%)

27 (100%)

16 (88.9%)

Previous ACBG

1 (9.1%)

15 (55.6%)

3 (16.7%)

Previous PCI

6 (54.5%)

24 (88.9%)

5 (27.8%)

Dyslipidemia

7 (63.6%)

17 (62.9%)

11 (61.1%)

Current Smokers

3 (27.3%)

9 (33.3%)

2 (11.1%)

Diabetes

0

9 (33.3%)

6 (33.3%)

Subjects regularly using antioxidant supplements (vitamins A, C, E, or Co-Enzyme Q-10) or drugs with presumed antioxidant properties (statins, carvedilol) were required to stop these medications 7 days prior to the test.

All subjects underwent a symptom-limited EXT upon initiation of a cardiac rehabilitation program; prior to the EXT, a 2-mL venous blood sample was drawn for thermo-chemiluminescence (TCL) assay. Determination of TCL and oxidizability potential Photons emission during heating was measured by TCL analyzer (manufactured by Lumitest Ltd., Caesarea, Israel) using a photomultiplier model R265P (Hamamatsu Photonics Co. Ltd. Ichino-cho, Higashi-ku, Hamamatsu City, Japan) with a spectral response range of 280–650 nm. The computer program of the device has two main functions: (1) analysis of the sample preparation (0.05 mL of serum required for the test), (2) data processing, display, and storage. The serum under exam was spread over the surface of aluminum tray (a kind of miniature Petri dish) inside the sample preparation block and then was vacuum-dried. Then, the dish was mounted on a constant heater with heating temperature 80 ± 0.5 s.d. the analysis block and the photons emission was measured each second for 300 s. The obtained TCL curve was described mathematically as the amplitude of the kinetic curve of the photons emission and slope of the curve. The obtained curve is described mathematically as the amplitude of the kinetic curve and its slope (=ratio), which reflects the heat-induced susceptibility to oxidative modification of the tested sample, i.e., the residual oxidative capacity due to prior in vivo molecular oxidation. Thus, a lower curve slope suggests a lower oxidative potential, indicating higher oxidative activity before test.

Statistical analysis

Statistical analysis was performed using SPSS v15.0 (Chicago, IL, USA) and data were presented as means ± SD. Student's t test was used, due to the normal distribution of results, and correlations were determined by Pearson's coefficient. Associations were considered statistically significant when the P value was <0.05. Regression analysis was performed in order to find out the independent variables with the most evident impact on TCL ratio.

Results

A lower serum oxidizability potential, expressed as a low TCL ratio, suggestive of a previous, high oxidative stress, was found in the older age groups (II and III) compared to the younger age group (I), p < 0.05 and p < 0.01.

The lowest values of TCL were found among gr. III patients with low LVEF% (Fig. 1).
Fig. 1

TCL ratio in older patients with LVEF≤ or ≥40%

TCL ratio (%) was 229 ± 15 in gr. I, 193 ± 21 in gr. II, and 188 ± 14.7 in gr. III, (p < 0.05 and p < 0.01).

Gr. III patients with low LVEF (<40%) had a TCL ratio of 177 ± 12.1 compared to 200 ± 11.9 in patients in the same group with a better LVEF (> 40%), p < 0.01.

The TCL ratio correlated well with exercise tolerance expressed in metabolic equivalents as well with exercise duration (r = 0.88 and 0.91, p < 0.01, respectively). Similarly, TCL ratio correlated with exercise maximal heart rate (r = 0.79) and with exercise-induced ≥1 mm ST segment shift (r = 0.77). A trend for lower TCL ratio (%) was found in diabetic, hypertensive, and post-CABG patients (193 ± 14, 194 ± 17, and 196 ± 13, respectively, p = ns).

A paradoxically low TCL ratio (low oxidizability potential) was observed in patients without S-T depression compared to patients with S-T depression (189 ± 22 vs. 201 ± 15, p = ns), due to the fact that these patients had a much lower LVEF% and a lower exercise capacity.

Regression analysis showed that older age ≥ 70, and left ventricular EF% were the best independent predictor of the TCL ratio (R 2 = 0.87208, R = 0.9338, St Err = 17.76, Adj F = 0.87118, n = 144, p < 0.001).

Discussion

Reactive oxygen species and other oxidants are implicated in the mechanisms of biological aging and exercise-induced tissue damage.

The TCL assay used in our study is one among the accepted, validated, and reproducible methods [911] for measurement of oxidative stress and serum oxidizability potential. This assay is based on the heat-induced oxidation of a sample leading to the formation of electronically excited species (in particular of triplet excited carbonyls) and of light energy, low-level chemiluminescence.

Aging is associated with increased free radical generation in the skeletal muscle that can cause oxidative modification of protein, lipid, and DNA [5, 6, 25, 26]. Physical activity has many well-established health benefits, but strenuous exercise increases muscle oxygen flux and elicits intracellular events that can lead to increased oxidative injury. The paradox arises as to whether exercise would be advisable to aged population. Research evidence indicates that senescent organisms are more susceptible to oxidative stress during exercise because of the age-related ultrastructural and biochemical changes that facilitate formation of ROS.

Increased ROS production has been shown to impair endothelium-dependent vasorelaxation, to cause myocyte apoptosis, to increase monocyte adhesion, and inflammatory gene expression, thus contributing to myocardial and skeletal muscle contractile dysfunction and deterioration in congestive heart failure (CHF) patients [15].

Only a few studies have addressed the issue of oxidative stress in relation to age and exercise, and most of them were conducted on animals [27, 28].

In studies involving chronic IHD and CHF patients, a significant increase in exercise-induced plasma oxidative stress was found. Exercise mode, intensity, and duration, as well as the subject population tested, all can certainly impact the extent of oxidation [1823, 2931]. However, these studies disagree when pre-exercise oxidative status is examined. Sayar et al. [15] failed to find a significant difference in resting plasma oxidative stress in CHF patients as compared with controls, the likely reason for these unexpected findings being that the control group contained patients with many cardiovascular risk factors rather than healthy controls. Thus, it was suggested that the underlying risk factors may be associated with an increase in resting pre-exercise plasma malondialdehyde levels. Díaz-Vélez et al. [32] have reported similar findings concerning the resting plasma oxidative stress in symptomatic CHF patients (LVEF < 40%), and in asymptomatic patients with LVEF > 40% without clinical evidence of CHF but with hypertension, DM or a history of myocardial infarction. On the other hand, in the study of Belch et al. [33], there was a significant, negative correlation between LVEF and oxidative stress.

No study so far has addressed the question whether the pre-exercise oxidative status is related to the age of the tested patients, and whether it may have an impact on EXT results, thus contributing to the risk assessment of these patients.

Our findings suggest that previous, chronic, or recurrent oxidative stress in older IHD patients practically reduces and depletes residual oxidative capacity. In other words, residual oxidative capacity is decreased due to prior recurrent in vivo molecular oxidation in these patients.

The study proves that the older the patient is, the sicker he is, with lower EF%, and lower exercise capacity, then, the lowest serum oxidizability potential, reflected by the lowest TCL ratio, is expected. Thus, assessment of TCL ratio at resting conditions may predict EXT results and, therefore, support risk assessment in chronic IHD patients according to their age group. Oxidizability potential assessment may have clinical applications in the routine follow-up of the atherosclerotic disease in elderly obese, diabetic, and hypertensive patients, as well as in elderly treated with drugs, vitamins, and food supplements with alleged or proved anti-atherogenic or pro-atherogenic properties.

Authors’ Affiliations

(1)
Department of Cardiology and Cardiac Rehabilitation, Bnai Zion Medical Center, Faculty of Medicine, Technion
(2)
Zinman College of Physical Education
(3)
Cardiac Rehabilitation, Bnai Zion Medical Center

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Copyright

© European Group for Research into Elderly and Physical Activity (EGREPA) 2010

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