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Serum levels of VEGF and bFGF in hypoxic patients with exacerbated COPD


European Cytokine Network. Volume 21, Number 2, 92-8, June 2010, research article

DOI : 10.1684/ecn.2010.0193

Summary  

Author(s) : Gordana Pavlisa, Goran Pavlisa, Vesna Kusec, Slobodanka Ostojic Kolonic, Asja Stipic Markovic, Branimir Jaksic , Special Hospital for Pulmonary Diseases, Zagreb, Croatia, Clinical Institute of Diagnostic and Interventional Radiology, University Hospital Center Zagreb, Croatia, Clinical Institute of Laboratory Diagnosis, University Hospital Center Zagreb, Zagreb, Croatia, Department of Internal Medicine, “Merkur” University Hospital, Zagreb, Croatia, Department of Internal Medicine, University Hospital “Sveti Duh”, Zagreb, Croatia.

Summary : Hypoxia frequently complicates the course of chronic obstructive pulmonary disease (COPD). Vascular endothelial growth factor (VEGF) and basic fibroblast growth factor (bFGF) are the two most potent angiogenic factors and may play a role in adaptation to hypoxia. The aims of the study were to assess the serum levels of VEGF and bFGF and to evaluate their mutual relationship in hypoxic patients with exacerbated COPD. The study group consisted of 50 hypoxic (PaO 2 53 mmHg) patients with exacerbated COPD. Control groups were 30 stable COPD patients with PaO 2 70 mmHg, and 30 healthy blood donors. The serum concentrations of VEGF and bFGF were measured using commercial enzyme-linked immunoassay kits. Patients with exacerbated COPD had significantly higher serum VEGF levels (1,089.16 ± 1,128.03 pg/mL) compared to those with stable COPD (197.68 ± 178.06 pg/mL) (p <\; 0.0001) and healthy blood donor group (257.69 ± 170.4 pg/mL) (p <\; 0.0001). Serum bFGF levels were significantly higher in the exacerbated COPD group (6.15 ± 2.56 pg/mL) compared to control groups (p \= 0.0001). Basic FGF was undetectable in the stable COPD and blood donor groups. Since VEGF and bFGF correlated significantly with the majority of factors investigated in COPD patients, multivariate analysis was performed. According to the step-wise regression analysis, VEGF was best determined by PaO 2, WBC and IL-6. Basic FGF was best determined by PaO 2 and pH. The highly significant, simple correlation between VEGF and bFGF was lost in multivariate analysis. This suggests that their correlation is not independent, but due to factors that remain in the model after step-wise regression. These are essentially linked to the level of hypoxia. Results of our study suggest that VEGF and bFGF production is stimulated in hypoxic patients with exacerbated COPD. Elevated levels of VEGF and bFGF may activate the process of neoangiogenesis, which may lead to increased perfusion and an improvement in tissue oxygenation in this group of patients.

Keywords : VEGF, bFGF, COPD, hypoxia

Pictures

ARTICLE

Auteur(s) : Gordana Pavlisa1, Goran Pavlisa2, Vesna Kusec3, Slobodanka Ostojic Kolonic4, Asja Stipic Markovic5, Branimir Jaksic4

1Special Hospital for Pulmonary Diseases, Zagreb, Croatia
2Clinical Institute of Diagnostic and Interventional Radiology, University Hospital Center Zagreb, Croatia
3Clinical Institute of Laboratory Diagnosis, University Hospital Center Zagreb, Zagreb, Croatia
4Department of Internal Medicine, “Merkur” University Hospital, Zagreb, Croatia
5Department of Internal Medicine, University Hospital “Sveti Duh”, Zagreb, Croatia

accepté le 25 F�vrier 2010

Chronic obstructive pulmonary disease (COPD) is frequently complicated by hypoxia. The response to hypoxia occurs through several, well described mechanisms, but none of them alone, or in combination, can fully explain the adaptation to hypoxia. The regulation of gene expression has recently been recognized as an important adaptive response to hypoxia. The cell response to hypoxia is mediated by hypoxia-inducible factor-1 (HIF-1), whose expression rises exponentially in hypoxic conditions. HIF-1 participates in the initiation of transcription of erythropoietin (EPO), vascular endothelial growth factor (VEGF), basic fibroblast growth factor (bFGF) genes, and in the regulation of metabolic processes by activation of the transcription of several glycolytic enzymes and glucose-carrier-1 [1]. The activation of EPO production and subsequent erythropoesis is the most frequently mentioned model of adaptation to systemic hypoxia. However, only a minor subset of hypoxic COPD patients develop secondary polycythemia and elevated levels of EPO [2]. These data indicate other important mechanisms, such as angiogenesis, that may be involved in the adaptation to hypoxia. VEGF and bFGF are the most potent proangiogenic factors [3]. VEGF is a 45 kDa, dimeric glycoprotein. The biological potency of VEGF depends on its reaction with specific receptors: VEGF R1 and VEGF R2. VEGF R1 and VEGF R2 are expressed on endothelial cells and tumor cells which produce VEGF [4]. Basic fibroblast growth factor is a single-chain, non-glycolysed cation polypeptide with a molecular mass of approximately 18 kDa [5]. VEGF and bFGF mediate a number of processes necessary for angiogenesis [4, 5]. VEGF and bFGF play a significant role during normal angiogenesis, such as wound healing, fetal and neonatal life [4, 6]. Several investigational models have shown that VEGF and bFGF are a part of the adaptive reaction to hypoxia. Their production is enhanced in conditions of local and systemic hypoxia [7]. HIF-1, VEGF and bFGF have been found in the serum and atherosclerotic lesions of patients with coronary artery disease, and play a role in collateral vessel formation [8, 9]. In patients with sleep apnea syndrome and hypoxia, the level of VEGF is elevated [10].

The regulation of these proangiogenic factors in COPD associated with hypoxia is unclear. The aim study were to investigate whether these factors are up-regulated in COPD patients with respiratory failure, and to assess which factors may influence their expression in this complex clinical model.

DONORS AND METHODS

The institutional Ethical Committee approved the study and informed consent was obtained from all of the participants.

Selection of the patients

None of the participants had a history of cancer, autoimmune disease or ischemic heart disease.

The quantitative characteristics of the groups are summarized in table 1.

Group 1: Patients with exacerbated COPD

Fifty consecutive patients with exacerbated COPD and hypoxia with partial arterial oxygen pressure (PaO2) 53 mmHg entered the study. All of the patients had previously diagnosed COPD. The diagnosis was based on the NHLBI/WHO Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria [11]. None of the patients had received continuous oxygen therapy before admission to the hospital. According to the clinical assessment, the onset of the exacerbation occurred at least 24 hours prior to hospitalization in all studied patients.

All patients had the clinical characteristics of respiratory inflammation such as an increase in sputum production, purulent sputum and dyspnea progression. According to the GOLD criteria, 67% of the patients were GOLD IV stage.
Table 1 Characteristics of groups and differences between groups

Characteristic

Group 1

Group 2

Group 3

Group 1 to 2

Group 1 to 3

Group 2 to 3

Subjects

n = 50

n = 30

n = 30

Gender M/F

23/27

19/11

15/15

0.3149

0.7287

0.2974

Age (years)

68.1 ± 9.78

69.43 ± 7.56

57.0 ± 4.44

0.5241

< 0.0001

< 0.0001

PaO2 (mmHg)

45.42 ± 5.1

75.49 ± 5.22

< 0.0001

PaCO2 (mmHg)

46.16 ± 8.82

37.7 ± 3.86

< 0.0001

pH

7.45 ± 0.06

7.43 ± 0.03

0.1682

SatO2 (%)

80.73 ± 7.49

94.99 ± 1.02

< 0.0001

FVC (%)

74.9 ± 20.2

92.01 ± 11.35

0.0004

FEV1 (%)

42.8 ± 20.2

52.47 ± 12.15

0.0029

RBC (x1012/L)

5.34 ± 0.7

4.67 ± 0.35

4.73 ± 0.44

< 0.0001

< 0.0001

0.5605

Hb (g/L)

154.1 ± 22.3

144.2 ± 13.03

143.7 ± 10.5

0.0325

0.0195

0.8782

Hct (ratio)

0.47 ± 0.06

0.37 ± 0.13

0.41 ± 0.03

0.0009

< 0.0001

0.1147

MCV (μm3)

87.25 ± 6.2

90.28 ± 5.36

86.7 ± 5.6

0.0319

0.6918

0.0151

MCH (pg)

28.81 ± 2.63

30.88 ± 1.81

30.53 ± 2.42

0.0004

0.0048

0.5334

WBC (x109/L)

10.3 ± 5.2

7.04 ± 1.55

6.8 ± 1.6

0.0015

0.0005

0.5180

Platelets (x109/L)

287.15 ± 123.05

242.14 ± 64.68

263.2 ± 64.63

0.0718

0.3272

0.2161

IL-6 (pg/mL)

46.72 ± 91.11

1.36 ± 3.76

0.06 ± 0.29

0.0081

0.0065

0.0635

Group 2: Patients with stable COPD

Thirty patients with stable COPD with a PaO2 3 70 mmHg were recruited from a hospital outpatient clinic. Thirteen patients had an arterial oxygen tension over 75 mmHg while breathing air. Stable COPD patients were defined as patients without any exacerbation of COPD during the previous four months, and without any change in respiratory medication during the same period.

The maximum value for the forced expiratory volume in the first second/forced expiratory vital capacity (FEV1/FVC) was 60% of the predicted value. Based on the GOLD criteria, 67% of the patients had moderate, and 33% had severe COPD. All the patients had irreversible airflow limitation.

Group 3: Healthy blood donors

Group 3 consisted of 30 healthy blood donors with arterial oxygen saturation (SatO2) of over 97%, and normal values for the complete blood count. None of them had a history of pulmonary disease.

Laboratory tests

The following tests were performed for all participants: complete blood count, serum VEGF, bFGF and interleukin-6 (IL-6). In the COPD patients, the arterial blood gas analyses were performed, while in healthy blood donors, arterial oxygen saturation was measured transcutaneously using fingertip pulse oximetry. In patients with exacerbated COPD, blood samples were taken at the moment of admission to the hospital, before the start of the treatment.

Pulmonary function studies were performed in patients with stable COPD on the day of the blood sample collection. In the exacerbated COPD group, pulmonary function studies were done before the discharge from the hospital.

Blood samples for the arterial blood gas analyses were drawn anaerobically from the radial artery into heparinized syringes and were promptly analyzed. Routine hematological analyses were performed using standard biochemical methods.

The serum samples for the determination of VEGF, bFGF and IL-6 were collected in vacutainer tubes without additive. Within 30 minutes of blood collection, the samples were centrifuged at 1,000 x g for 15 minutes. The serum was carefully transferred to new tubes. Serum samples were frozen within one hour of collection at a temperature of - 70oC. All samples were analyzed after the study period, at the same time. The samples were analyzed using commercially available ELISA kits for VEGF (DVE00), bFGF (HSFB75) and IL-6 (D6050) (R&D Systems, Minneapolis, Minnesota, USA) according to the manufacturer`s instructions. Sensitivity for bFGF was 3 pg/mL, VEGF 9 pg/mL, and for IL-6 0.7 pg/mL.

Statistical analysis

Results were statistically analyzed using parametric and non-parametric tests as appropriate, with “Statistica“ and “StatView“ (v. 5.0.1. SAS Institute Inc.) software. Results are given as the mean ± SD for continuous data, and as the proportion of the group for nominal data. To assess the difference between groups with respect to continuous data, Student`s t- test was used, and regarding nominal data O2 test was used. A p value of less than 0.05 was considered statistically significant. The relationship between serum VEGF, bFGF and other continuous data were analyzed by a simple regression test. Since VEGF and bFGF correlated significantly with almost all the factors investigated, multivariate step-wise analysis was performed.

Results

VEGF and bFGF findings in the three study groups

VEGF and b-FGF levels were significantly higher in group 1 compared to groups 2 and 3 (p < 0.0001). In the group of patients with exacerbated COPD, the mean VEGF value was 1,089.16 ± 1,128.03 pg/mL. (ranging from 159.53-5,725 pg/mL). The mean bFGFvalue in the exacerbated COPD group was 6.15 ± 2.56 pg/mL (ranging from 2.8-15 pg/mL).

We did not find any statistically significant difference in the VEGF levels between the stable COPD group and blood donor group (p = 0.1071). In the stable COPD group, the mean VEGF value was 197.68 ± 178.06 pg/mL (ranging from undetectable levels to 784 pg/mL). In theblood donor group, the mean VEGF value was 257.69 ±170.4 pg/mL (ranging from 12.48 to 605.73 pg/mL). Basic FGF was undetectable in the stable COPD and blood donor groups (figures 1 and 2).

Correlation between parameters analyzed in the COPD patients

Simple correlations of VEGF with other parameters in patients with exacerbated and stable COPD are presented in table 2. The data are sorted by the correlation coefficient and significance. VEGF correlated significantly with almost all parameters studied. The strongest correlation of VEGF was with PaO2 (r = - 0.509, p < 0.0001), white blood count WBC (r = 0.508, p< 0.0001), platelet count (r = 0.457, p < 0.0001), and bFGF (r = 0.455, p < 0.0001).

We found no statistically significant correlation with lung function parameters or GOLD stages of disease when analyzing the overall COPD population or groups 1 and 2 separately.

Also, bFGF significantly correlated with almost all parameters studied (table 3). The strongest correlation of bFGF was with PaO2 (r = - 0.816, p < 0.0001), VFGF (r = 0.455, p < 0.0001) and RBC (r = 0.437, p < 0.0001).
Table 2 Correlation between serum VEGF and selected continuous data

Variables

r

p

PaO2

- 0.509

< 0.0001

WBC

0.508

< 0.0001

Platelets

0.457

< 0.0001

bFGF

0.455

< 0.0001

RBC

0.280

0.0156

PaCO2

0.236

0.0425

MCH

- 0.230

0.0484

Hct

0.228

0.0507

pH

0.166

0.1565

IL-6

0.140

0.2345

Hb

0.128

0.2763

MCV

- 0.104

0.3788

Age

0.032

0.7892


Table 3 Correlation between serum bFGF and selected continuous data

Variables

r

p

PaO2

- 0.816

< 0.0001

VEGF

0.455

< 0.0001

RBC

0.437

< 0.0001

WBC

0.371

0.0011

Hct

0.371

0.0011

Platelets

0.362

0.0015

PaCO2

0.326

0.0046

pH

0.312

0.0068

MCH

- 0.305

0.0081

IL-6

0.284

0,0141

Hb

0.247

0.0342

Age

- 0.141

0.2294

MCV

- 0.129

0.2734

Multivariate analysis

Since several significant correlations were found between parameters studied, multivariate (step-wise regression) analysis was performed to assess their mutual relationship.

Step-wise regression was performed with VEGF and bFGF as dependent variables. Thirteen independent variables were included in the model. These were: PaO2, arterial carbon dioxide tension (PaCO2), pH, red blood cell count (RBC), hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), WBC, platelets, IL-6, age, VEGF and/or bFGF.

Table 4 shows the final step in a step-wise regression analysis of VEGF, and describes variables that remain in the model, while all other variables ended the analysis out of the model. VEGF is independently determined by PaO2 (F-to-remove = 14.9), WBC (F-to-remove = 23.2) and IL-6 (F-to-remove = 9.3). Table 5 shows that bFGFis independently determined by PaO2 (F-to-remove = 151.35) and pH (F-to-remove = 11.26), while other parameters analyzed ended the analysis out of model. A strongly significant, simple correlation between VEGF and bFGF was entirely lost during a step-wise regression analysis. This suggests that the significant, simple correlation between the two angiogenic factors is not independent, but is essentially due to their individual association with hypoxia.
Table 4 Stepwise regression analysis of VEGF versus 13 independent variables (final step)

Coefficient

Std. Error

Std. Coeff.

F-to-Remove

Intercept

1,095.496

492.043

1,095.496

4.957

PaO2

- 24.473

6.345

- 0.375

14.879

WBC

133.021

27.589

0.598

23.247

IL-6

- 4.786

1.568

- 0.362

9.311


Table 5 Stepwise regression analysis of bFGF versus 13 independent variables (final step)

Coefficient

Std. Error

Std. Coeff.

F-to-Remove

Intercept

- 89.666

30.916

- 89.666

8.412

PaO2

- 0.176

0.014

- 0.790

151.350

pH

13.895

4.141

0.215

11.260

Discussion

The present study has shown significantly higher serum VEGF and bFGF levels in exacerbated COPD patients with hypoxia compared to COPD patients with stable disease or healthy blood donors. The strong positive correlation of VEGF and bFGF may indicate that they are simultaneously activated.

Hypoxia is a strong inducer of VEGF release in physiological and numerous pathological situations with consequent neoangiogenesis. Physical strain increases the expression of VEGF in muscles, and this increase correlates with the lactate concentration in venous plasma of the involved muscles [12]. VEGF is up-regulated in ischemic myocardial tissue [8], ischemic brain tissue [13], and ischemic limbs [14]. In patients suffering from sleep apnea syndrome and severe hypoxia, levels of VEGF are elevated [10]. Several investigations have studied serum levels of VEGF in COPD patients. Valipour et al. found that patients with exacerbated COPD have higher circulating VEGF concentrations compared to stable COPD patients and healthy controls [15]. The mean serum VEGF levels in stable COPD patients and healthy controls in their study are comparable to our results. Conversely, the mean serum VEGF levels in patients with exacerbated COPD were higher in our study. Our patients with exacerbated COPD had more severe hypoxia, which may have been the cause of the higher VEGF levels. Alydonyte et al. did not find increased expression of serum VEGF in stable COPD patients, and the mean values were comparable to our results [16]. In the study by Kierszniewska-Stepie et al., the serum VEGF concentration was elevated in patients with stable COPD, and even in patients with mild disease [17]. In this study, patients with mild COPD had lower mean PaO2 compared to our group with stable COPD. The studies mentioned did not address the role of hypoxia as a potential trigger of VEGF synthesis in COPD patients. A statistically significant negative correlation of VEGF withPaO2 found in our study confirms the hypothesis that hypoxia is strongly associated with VEGF synthesis in this clinical model.

Studies of the concentration dynamics of VEGF are scarce. It has been shown that the concentration of VEGF reaches amaximum 24 hours after an acute myocardial infarction [18]. In our patients, the progression of the disease, as well as the hypoxia lasted longer than 24 hours. Significantly higher parameters of the red blood count in the exacerbated compared to stable COPD group indicate that those patients were possibly hypoxemic prior to the exacerbation with consequently activated erythropoeisis. Also, since this group of patients had more significantly impaired lung function, it is to be expected that the level of hypoxia was lower, even in a stable phase of the disease.

Since the COPD is a complex clinical syndrome, hypoxia may not be the only factor involved with the increased expression of VEGF. Systemic inflammation can influence the VEGF level [19, 20]. Neutrophils are recognized as asignificant source of VEGF [21]. Also, inflammatory cytokines, such as IL-6, may induce VEGF expression [22]. COPD is characterized by the chronic inflammation of the tracheobronchial tree, further activated in the case ofexacerbation [23]. It is well known that COPD patients exhibit elevated markers of systemic inflammation [24, 25].

In our study, WBC and IL-6 values were, not surprisingly, significantly higher in a group of exacerbated COPD patients compared to stable COPD patients or the blood donor group. A significantly positive correlation, as well as an independent relationship of VEGF with the white blood cell count and IL-6, may suggest that both acute and chronic inflammation contribute to high VEGF level in the model studied. The positive correlation of WBC and VEGF cannot be explained by direct VEGF release from leukocytes under the influence of hypoxia, since white blood cells do not produce significant quantities of VEGF in response to isolated hypoxia [26].

Recent investigations have indicated that VEGF may have a role in the pathogenesis of different manifestations and different stages of stable COPD [27, 28]. In our study, there was no significant correlation between the VEGF levels and lung function parameters. It is possible that in the exacerbated COPD group, systemic hypoxia and inflammation have a much stronger influence on serum VEGF level, than local lung tissue production. Also, in our group of patients with exacerbation, the lung function testing was not performed at the same time as the VEGF measurements.

The most important and consistent finding of our study wasthat serum bFGF levels are significantly elevated in exacerbated COPD patients, which has been scarcely addressed in the literature. Serum bFGF levels were undetectable in patients with stable disease and in healthy blood donors. Basic FGF synthesis was activated only in patients with significant hypoxia. Therefore, it is probably not a linear phenomenon, but occurs only after a certain level of hypoxia is reached. A strong negative correlation in this model indicates that hypoxia is the most important stimulus of bFGF production. Also, step-wise regression analysis disclosed that the independent correlation is due to hypoxia and acid-base status. Based on these results, we believe that hypoxia is one of the factors leading to its increased expression.

It is well known that the synthesis of bFGF is strongly activated in hypoxic conditions by the regulation of HIF[5]. The increased expression of this factor has been found in states of local and systemic hypoxia. The expression of the bFGF gene is enhanced in skeletal muscles after physical exercise [29]. It has been shown in the model ofischemic myocardium, that monocytes in hypoxia produce bFGF [30]. In patients with solid tumors and concomitant anemia there is a significant correlation between systemic hypoxia and serum b-FGF [31]. In the condition of chronic hypoxia, bFGF is increasingly expressed in the brain tissue [32].

Larsson et al. measured bFGF in healthy blood donors [33]. In this study, the levels of bFGF were higher than in our group of healthy blood donors, and levels in women were higher than in men. The mean age of female patients in that study was 43 years, with the expected reproductive cycle in a significant percentage of patients. One of rare situations in which angiogenesis exist in adults is during the female reproductive cycle [6]. The mean age of female patients in our study was 54 years and they were all experiencing the menopause, which may be a reason for the lower levels of bFGF.

Several clinical models have also indicated the association between chronic inflammation and bFGF expression. It hasbeen shown that systemic inflammation in patients on peritoneal dialysis is linked to increased plasma levels of bFGF [34]. Synovial fibroblasts of patients suffering from rheumatoid arthritis produce bFGF [35]. Some studies have suggested that IL-6 could enhance expression of bFGF [36].

However, in contrast to VEGF, in our study, we did not confirm any independent correlation with inflammatory markers.

The highly significant, simple correlation of VEGF and bFGF is completely lost in multivariate analysis, suggesting that their correlation is not independent, but is due to the high correlation with common, causative factor(s) thatremain in the model after step-wise regression. Most important of these are essentially linked to the level of hypoxia.

In this study, the patients with exacerbated COPD had significantly higher serum VEGF and bFGF levels compared to the COPD patients with stable disease or the healthy blood donor group. Multivariate analysis disclosed interesting interactions. Step-wise regression analysis showed that hypoxia was the independent factor that contributed to the model, for both VEGF and bFGF. The only two additional factors influencing VEGF were WBC and IL-6, both essentially linked to inflammation. The only additional factor influencing bFGF was alkalosis, the mechanism of which is presently unclear. All other parameters regarding VEGF and bFGF ended the analysis outof the model. A strong, significant correlation between VEGF and bFGF was entirely lost in multivariate step-wise regression analysis. This suggests that their correlation was not independent, but was due to the high correlation with hypoxia, the common factor that remained in the model after step-wise regression. This finding illustrates the predominant role of hypoxia.

The elevated values of VEGF and bFGF in a group of exacerbated COPD patients may indicate that the process of neoangiogenesis has been activated in this group of patients, which may have lead to increased perfusion and an improvement in tissue oxygenation.

Financial support

This paper was supported by the Ministry of Science and Technology of the Republic of Croatia [Research Grants 0108107 and 108-1081873-1893].

Disclosure. None of the authors has any conflict of interest to disclose.

References

1 Gleadle JM, Ratcliffe PJ. Induction of hypoxia-inducible factor-1, erythropoietin, vascular endothelial growth factor, and glucose transporter-1 by hypoxia: evidence against a regulatory role for Src kinase. Blood 1997; 89: 503.

2 Pavlisa G, Vrbanic V, Kusec V, Jaksic B. Erythropoietin response after correction of severe hypoxaemia due to acute respiratory failure in chronic obstructive pulmonary disease patients. Clin Sci (Lond) 2004; 106: 43.

3 Bussolino F, Albini A, Camussi G, et al. Role of soluble mediators in angiogenesis. Eur J Cancer 1996; 32A: 2401.

4 Dvorak HF, Brown LF, Detmar M, Dvorak AM. Vascular permeability factor/vascular endothelial growth factor, microvascular hyperpermeability, and angiogenesis. Am J Pathol 1995; 146: 1029.

5 Klagsbrun M. The fibroblast growth factor family: structural and biological properties. Prog Growth Factor Res 1989; 1: 207.

6 Malamitsi-Puchner A, Tziotis J, Tsonou A, Protonotariou E, Sarandakou A, Creatsas G. Basic fibroblast growth factor: serum levels in the female. Growth Factors 2000; 17: 215.

7 Bussolino F, Albini A, Camussi G, et al. Hypoxic responses of vascular cells. Chest 1998; 114: 25S.

8 Lee SH, Wolf PL, Escudero R, Deutsch R, Jamieson SW, Thistlethwaite PA. Early expression of angiogenesis factors in acute myocardial ischemia and infarction. N Engl J Med 2000; 342: 626.

9 Detillieux KA, Cattini PA, Kardami E. Beyond angiogenesis: the cardioprotective potential of fibroblast growth factor-2. Can J Physiol Pharmacol 2004; 82: 1044.

10 Imagawa S, Yamaguchi Y, Higuchi M, Neichi T, Hasegawa Y, Mukai HY. Levels of vascular endothelial growth factor are elevated in patients with obstructive sleep apnea-hypopnea syndrome. Blood 2001; 98: 1255.

11 Pauwels RA, Buist AS, Calverley PM, Jenkins CR, Hurd SS. GOLD Scientific Committee. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease. NHLBI/WHO Global Initiative for Chronic Obstructive Lung Disease (GOLD) Workshop summary. Am J Respir Crit Care Med 2001; 163: 1256.

12 Gustafsson T, Puntschart A, Sundberg CJ, Jansson E. Related expression of vascular endothelial growth factor and hypoxia-inducible factor-1 mRNAs in human skeletal muscle. Acta Physiol Scand 1999; 165: 335.

13 Hayashi T, Abe K, Suzuki H, Itoyama Y. Rapid induction of vascular endothelial growth factor gene expression after transient middle cerebral artery occlusion in rats. Stroke 1997; 28: 2039.

14 Hochberg I, Hoffman A, Levy AP. Regulation of VEGF in diabetic patients with critical limb ischemia. Ann Vasc Surg 2001; 15: 388.

15 Valipour A, Schreder M, Wolzt M, et al. Circulating vascular endothelial growth factor and systemic inflammatory markers in patients with stable and exacerbated chronic obstructive pulmonary disease. Clin Sci (Lond) 2008; 115: 225.

16 Aldonyte R, Eriksson S, Piitulainen E, Wallmark A, Janciauskiene S. Analysis of systemic biomarkers in COPD patients. COPD 2004; 1: 155.

17 Kierszniewska-Stepie D, Pietras T. G¢rski P, Stepien H. Serum vascular endothelial growth factor and its receptor level in patients with chronic obstructive pulmonary disease. Eur Cytokine Netw 2006; 17: 75.

18 Yin R, Feng J, Yao Z. Dynamic changes of serum vascular endothelial growth factor levels in a rat myocardial infarction model. Chin Med Sci J 2000; 15: 154.

19 Alatas F, Alatas O, Metintas M, Ozarslan A, Erginel S, Yildirim H. Vascular endothelial growth factor levels in active pulmonary tuberculosis. Chest 2004; 125: 2156.

20 Yano K, Liaw PC, Mullington JM, et al. Vascular endothelial growth factor is an important determinant of sepsis morbidity and mortality. J Exp Med 2006; 203: 1447.

21 Kusumanto YH, Dam WA, Hospers GA, Meijer C, Mulder NH. Platelets and granulocytes, in particular the neutrophils, form important compartments for circulating vascular endothelial growth factor. Angiogenesis 2003; 6: 283.

22 Cohen T, Nahari D, Cerem LW, Neufeld G, Levi BZ. Interleukin 6 induces the expression of vascular endothelial growth factor. J Biol Chem 1996; 271: 736.

23 D'silva L. Cook RJ, Allen CJ, Hargreave FE, Parameswaran K. Changing pattern of sputum cell counts during successive exacerbations of airway disease. Respir Med 2007; 101: 2217-20.

24 Wedzicha JA, Seemungal TA, MacCallum PK, et al. Acute exacerbations of chronic obstructive pulmonary disease are accompanied by elevations of plasma fibrinogen and serum IL-6 levels. Thromb Haemost 2000; 84: 210.

25 Chung KF. Cytokines in chronic obstructive pulmonary disease. Eur Respir J 2001; 34: s50.

26 Koehne P, Willam C, Strauss E, Schindler R, Eckardt KU. B_hrer C. Lack of hypoxic stimulation of VEGF secretion from neutrophils and platelets. Am J Physiol Heart Circ Physiol 2000; 279: H817.

27 Kasahara Y, Tuder RM, Taraseviciene-Stewart L, et al. Inhibition of VEGF receptors causes lung cell apoptosis and emphysema. J Clin Invest 2000; 106: 1311.

28 Kanazawa H, Asai K, Nomura S. Vascular endothelial growth factor as a non-invasive marker of pulmonary vascular remodeling in patients with bronchitis-type of COPD. Respir Res 2007; 8: 22.

29 Olfert IM, Breen EC, Mathieu-Costello O, Wagner PD. Skeletal muscle capillarity and angiogenic mRNA levels after exercise training in normoxia and chronic hypoxia. J Appl Physiol 2001; 91: 1176.

30 Panutsopulos D, Zafiropoulos A, Krambovitis E, Kochiadakis GE, Igoumenidis NE, Spandidos DA. Peripheral monocytes from diabetic patients with coronary artery disease display increased bFGF and VEGF mRNA expression. J Transl Med 2003; 1: 6.

31 Porta C, Imarisio I, De Amici M, et al. Pro-neoangiogenic cytokines (VEGF and bFGF) and anemia in solid tumor patients. Oncol Rep 2005; 13: 689.

32 Ganat Y, Soni S, Chacon M, Schwartz ML, Vaccarino FM. Chronic hypoxia up-regulates fibroblast growth factor ligands in the perinatal brain and induces fibroblast growth factor-responsive radial glial cells in the sub-ependymal zone. Neuroscience 2002; 112: 977.

33 Larsson A. Sköldenberg E, Ericson H. Serum and plasma levels of FGF-2 and VEGF in healthy blood donors. Angiogenesis 2002; 5: 107.

34 Stompór T, Zdzienicka A, Motyka M, Dembińska-Kieć A, Davies SJ, Sulowicz W. Selected growth factors in peritoneal dialysis: their relationship to markers of inflammation, dialysis adequacy, residual renal function, and peritoneal membrane transport. Perit Dial Int 2002; 22: 670.

35 Bucala R, Ritchlin C, Winchester R, Cerami A. Constitutive production of inflammatory and mitogenic cytokines by rheumatoid synovial fibroblasts. J Exp Med 1991; 173: 569.

36 Jee SH, Chu CY, Chiu HC, Huang YL, Tsai WL, Liao YH. Interleukin-6 induced basic fibroblast growth factor-dependent angiogenesis in basal cell carcinoma cell line via JAK/STAT3 and PI3-kinase/Akt pathways. J Invest Dermatol 2004; 123: 1169.


 

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