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.
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