Serum Levels of Vascular Endothelial Growth Factor and Insulin-like Growth Factor Binding Protein-3 in Obstructive Sleep Apnea Patients: Effect of Continuous Positive Airway Pressure Treatment

Kostas Archontogeorgis1, Evangelia Nena2, Nikolaos Papanas3, *, Maria Xanthoudaki1, Olga Hatzizisi4, Georgios Kyriazis4, Venetia Tsara4, Efstratios Maltezos3, Marios Froudarakis1, Paschalis Steiropoulos1
1 Department of Pneumonology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
2 Laboratory of Hygiene and Environmental Protection, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
3 Second Department of Internal Medicine, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
4 Department of Pneumonology, General Hospital “G. Papanikolaou”, Thessaloniki, Greece

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© Archontogeorgis et al.; Licensee Bentham Open.

open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (, which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.

* Address correspondence to this author at the Second Department of Internal Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; Fax: +302551074723; E-mail:


Background and Aim:

Hypoxia, a major feature of obstructive sleep apnea (OSA), modifies Vascular Endothelial Growth Factor (VEGF) and Insulin-like Growth Factor Binding Protein-3 (IGFBP-3) levels, which contribute to atherogenesis and occurrence of cardiovascular (CV) events. We assessed and compared serum levels of VEGF and IGFBP-3 in newly diagnosed OSA patients and controls, to explore associations with anthropometric and sleep parameters and to study the effect of continuous positive airway pressure (CPAP) treatment on these levels.

Materials and Methods:

Serum levels of VEGF and IGFBP-3 were measured in 65 OSA patients and 31 age- and body mass index- matched controls. In OSA patients, measurements were repeated after 6 months of CPAP therapy. All participants were non-smokers, without any comorbidities or systemic medication use.


At baseline, serum VEGF levels in OSA patients were higher compared with controls (p<0.001), while IGFBP-3 levels were lower (1.41±0.56 vs. 1.61±0.38 μg/ml, p=0.039). VEGF levels correlated with apnea-hypopnea index (r=0.336, p=0.001) and oxygen desaturation index (r=0.282, p=0.007). After 6 months on CPAP treatment, VEGF levels decreased in OSA patients (p<0.001), while IGFBP-3 levels increased (p<0.001).


In newly diagnosed OSA patients, serum levels of VEGF are elevated, while IGFBP-3 levels are low. After 6 months of CPAP treatment these levels change. These results may reflect an increased CV risk in untreated OSA patients, which is ameliorated after CPAP therapy.

Keywords: Continuous positive airway pressure, hypoxia, insulin-like growth factor binding protein-3, obstructive sleep apnea, vascular endothelial growth factor, treatment.


Obstructive sleep apnea (OSA) is characterized by repetitive cessation of airflow during sleep due to upper airway collapse, resulting in intermittent hypoxia and sleep fragmentation [1]. OSA is a common condition with a prevalence ranging between 5% and 15% among adults [1]. Clinical manifestations include loud snoring and breathing pauses during sleep along with excessive daytime sleepiness and cognitive impairment [2]. The diagnostic standard is overnight polysomnography, and the mainstay of treatment is continuous positive airway pressure (CPAP) application.

Cumulative evidence suggests an association between OSA and cardiovascular disease (CVD) [3, 4]. The incidence of OSA in patients with CVD is estimated between 30% and 50% [5]. This is attributed to the intermittent hypoxia accompanying apneic events during sleep, the arousals caused by upper airway obstruction and the sleep fragmentation, the repeated sympathetic activation and the development of negative intrathoracic pressures, all of which may induce the activation of neural, humoral, metabolic and inflammatory responses and promote vascular injury [6-8]. Adherence to CPAP treatment reduces the risk of CVD in OSA [9].

Vascular Endothelial Growth Factor (VEGF) is a cytokine stimulating normal and abnormal angiogenesis [10]. Its expression is regulated by hypoxia-inducible factor that is activated in hypoxic cells [11]. Previous studies have highlighted the role of VEGF in the development and progression of CVD [12]. VEGF expression has been shown to increase in both airway epithelial cells and bronchial smooth muscle cells after exposure to intermittent hypoxia for 24 h [13]. Furthermore, increased expression of VEGF has been reported in the liver and lungs of mice exposed to intermittent hypoxia for 35 days [14]. Several studies have demonstrated increased serum levels of VEGF in OSA, patients [15, 16].

Insulin-like Growth Factor Binding Protein-3 (IGFBP-3) is the most abundant insulin-like growth factor in the serum [17]. Its circulating levels strongly relate to diurnal growth hormone secretion and may reflect spontaneous growth hormone secretion in healthy individuals [18]. Decreased serum levels of IGFBP-3 have been associated with increased risk of CVD, including coronary artery disease and CVD mortality [19, 20]. In children with OSA, serum levels of IGFBP-3 may be decreased and be associated with growth retardation, while no association of this protein with OSA has been shown in the elderly [21, 22].

The aim of the study was to measure the serum levels of VEGF and IGFBP-3 in OSA patients and compare them with those of control subjects, to explore associations with anthropometric and sleep parameters and to study the effect of CPAP treatment on these levels.


Patients and Controls

A total of 163 patients (141 males and 22 females), referred with symptoms suggesting sleep-related breathing disorders, were prospectively enrolled. The study protocol was approved by the institutional ethics committee and all participants provided their informed consent.

Exclusion criteria at baseline included smoking, known history of CVD, dyslipidemia, diabetes mellitus, allergic, pulmonary or hematological disease, malignancy, recent injury or surgery, current infection or any systemic medication use (e.g. hypolipidemic or anti-platelet agents). During the study, additional exclusion criteria included significant change in body mass index (BMI) (defined as an increase/decrease > 5% compared with baseline measurement), new diagnosis of a chronic disease, initiation of systemic medication use, or surgery. Patients with poor adherence to CPAP treatment (defined as use < 4 h/night) were also excluded.

Initial Assessment

Medical history, current medication, tobacco smoking and alcohol consumption at baseline were recorded. All patients underwent clinical examination. For each patient anthropometric characteristics were measured. During examination, subjects were lightly clothed and without shoes. Height and weight were measured to the nearest cm and Kg, respectively. BMI was calculated using the formula: BMI = weight (kg)/height2 (m). Hip, waist and neck circumferences were measured using a standardized protocol [23]. As part of the routine clinical evaluation to exclude pulmonary and CVD, pulmonary function tests, chest radiograph, arterial blood gas analysis, blood pressure measurement and a resting 12-lead electrocardiogram were performed.

Polysomnography (PSG)

All subjects underwent an attended overnight PSG (Alice® 4, Philips Respironics, Murrysville, PA, USA) from 22:00 to 06:00 hours. A standard montage of electroencephalogram, electroocculogram, electromyogram and electrocardiogram signals together with pulse oximetry and airflow (detected using combined oronasal thermistors) was used. Thoracic cage and abdominal motion were detected by inductive plethysmography. Apneas, hypopneas and electroencephalogram recordings were visually evaluated and manually scored using standard criteria [24]. Apnea was defined as complete cessation of airflow for ≥10 s. Hypopnea was defined as 50% reduction in airflow ≥10 s accompanied by ≥4% desaturation or by an arousal recorded on the electroencephalogram. Apnea-hypopnea index (AHI) was established by the number of apneas and hypopneas per hour of PSG-recorded sleep time [24]. Oxygen desaturation index (ODI) was defined as the number of oxyhemoglobin desaturations of at least 3% per hour of PSG-recorded sleep time [25]. OSA was graded as mild (AHI: 5-15/h), moderate (AHI: 15-30/h) and severe (AHI >30/h) [25]. Patients with purely central apneas were excluded. Patients with OSA who accepted CPAP treatment, underwent a second sleep study for CPAP titration. Optimum CPAP pressure was defined as the pressure value that abolished all respiratory events during sleep, arousals and desaturation episodes.


All OSA patients who initially accepted CPAP treatment were scheduled for follow-up visits at 1, 3 and 6 months after initiation of CPAP treatment. At the 6-month follow-up, information regarding recent medical history was updated, patients underwent physical examination and BMI was re-calculated. Adherence to CPAP therapy was evaluated by dividing total recorded hours in the device timer by the number of nights of use between treatment initiation and follow-up examination. Patients were classified, according to CPAP use, as good compliers (≥4 h use per night) and poor compliers (<4 h use per night), who were excluded from the study.

Biochemical Parameters

At baseline, blood samples were collected from each patient after 12 h overnight fasting on the morning after the completion of PSG. Blood was collected from an antecubital vein, was immediately centrifuged for 10 min at 3000 rpm and the supernatant was then stored in a refrigerator at -80°C until analysis. VEGF and IGFBP-3 serum concentrations were measured by an ELISA test using a commercially available kit (R&D Systems, Minneapolis, USA) according to manufacturer’s specifications. At 6 months, the patients fulfilling the inclusion criteria provided new blood samples during a scheduled morning appointment.

Statistical Analysis

Analysis was carried out with version 17.0 of the IBM Statistical Package for Social Sciences (SPSS). Continuous variables were tested for normality of distribution by the Kolmogorov-Smirnov test. Values are expressed as mean ± standard deviation (SD) or median (range) for variables with or without normal distribution, respectively. Correlations were analyzed with Pearson's correlation coefficient, while comparisons between means were explored with the Student's t-test. The effect of CPAP on examined parameters was studied by paired t-test. Two-tailed significance was defined at p<0.05.


After initial assessment, a total of 96 subjects (87 males and 9 females) were included in the study. A flow chart of the study procedure is shown in Fig. (1). After PSG, subjects were divided in two groups: OSA group (defined as AHI >15/h) including 65 patients (60 males and 5 females) and control group (AHI<5/h) including 31 subjects (27 males and 4 females). The two groups did not differ significantly in terms of age or BMI.

Fig. (1).

Study flow chart.

Abbreviations: CPAP continuous positive airway pressure; OSA obstructive sleep apnea

Fig. (2).

Correlation between apnea-hypopnea index (AHI) and Vascular Endothelial Growth Factor (VEGF) levels.

Fig. (3).

Comparison between Vascular Endothelial Growth Factor (VEGF) (3a) and Insulin-like Growth Factor Binding Protein-3 (IGFBP- 3) levels (3b) of controls and obstructive sleep apnea (OSA) patients at baseline and at 6 month follow-up.

Bars represent the interquartile range (i.e. middle 50% of the observed values), while the upper and lower whisker represent the higher and the lower observed value, respectively.

Table 1.

Anthropometric and sleep characteristics of OSA patients and controls.

OSA Patients Controls p Value
Sex (M/F) 60/5 27/4 0.657
Age (years) 45.5 ± 9.7 45.3 ± 6.2 0.940
BMI (kg/m2) 33.8 ± 7.1 31.4 ± 4 0.333
AHI (/h) 59.9 ± 26.8 6.4 ± 4.4 <0.001
ODI (/h) 57.6 ± 26.8 7 ± 4.6 <0.001
aver SpO2 (%) 89.3 ± 5.1 94.2 ± 1.2 <0.001
min SpO2 (%) 71.4 ± 10.5 86.1 ± 3.1 <0.001

Abbreviations: AHI apnea-hypopnea index; aver SpO2 average oxyhemoglobin saturation during sleep; BMI body mass index; ODI oxygen desaturation index; OSA obstructive sleep apnea; min SpO2 minimum oxyhemoglobin saturation during sleep.

As expected, OSA patients exhibited significantly higher AHI and ODI, and significantly lower average oxyhemoglobin saturation (average SpO2) and minimum oxyhemoglobin saturation (minimum SpO2) during sleep, compared with controls. Anthropometric and sleep characteristics of OSA patients and controls are shown in Table 1.

At baseline, VEGF serum levels were significantly higher in OSA patients compared with controls (398.4 ± 229 vs. 229.9 ± 149.8 pg/ml, respectively, p<0.001), while IGFBP-3 levels were significantly lower (1.41 ± 0.56 vs. 1.61 ± 0.38 μg/ml, respectively, p=0.039). Additionally, the two groups had similar full blood counts.

In OSA patients, VEGF serum concentrations positively correlated with values of AHI (r=0.336, p=0.001) and ODI (r=0.282, p=0.007), while no correlation with average SpO2 and minimum SpO2 during sleep was observed. Correlation between VEGF and AHI is shown in Fig. (2). There was no correlation between IGFBP-3 and sleep parameters.

After 6 months on adequate CPAP treatment, VEGF levels decreased (p<0.001) and IGFBP-3 levels increased (p<0.001) (Figs. 3a and 3b).


Our results suggest an increased CVD risk in OSA patients, as demonstrated by the significantly higher serum VEGF levels and lower IGFBP-3 levels, compared with age- and BMI-matched controls. Moreover, 6 months of CPAP treatment decreased levels of VEGF and increased levels of IGFBP-3.

These results agree with previous publications showing increased serum VEGF levels in patients with OSA [15, 16, 26, 27]. In the study of Ma et al. [15], OSA patients with severe hypoxia exhibited significantly higher serum VEGF levels compared with OSA patients having mild hypoxia and healthy controls. Similar significant differences were found in another study [16], that compared VEGF circulating levels among 10 OSA patients with severe nighttime hypoxia, 10 OSA patients with moderate hypoxia and 10 healthy volunteers.

In OSA patients, serum VEGF levels were positively correlated with both AHI and ODI. Ma et al. [15] have previously shown a positive correlation between VEGF and AHI (r=0.34, p<0.05). In the same study, the degree of nocturnal oxygen desaturation was also correlated with VEGF (r=0.67, p<0.01) [15].

A variety of mechanisms may trigger increased production of VEGF in OSA patients; nocturnal hypoxia seems to be the most important [11, 13, 14]. Additional factors may include enhanced VEGF gene expression by free oxygen radicals and endothelin [28, 29], or lack of the inhibitory effect induced by nitric oxide on VEGF gene expression due to decreased nitric oxide production in OSA patients [30]. Teramoto et al. [31] have reported significantly reduced serum VEGF levels in OSA patients after improvement of nocturnal hypoxia through oxygen administration. Although conditions such as cancer, inflammatory diseases, surgery, trauma may increase VEGF levels [32, 33], in our case both patients and controls were free of comorbidities.

It is important to emphasize that 6 months of adherent CPAP treatment decreased VEGF levels indicating an additional beneficial effect of CPAP. Lavie et al. [26] have found significantly reduced VEGF levels after 1 year of nasal CPAP application in 10 OSA patients who complied with treatment, while there was no difference in VEGF levels among non-compliant patients. The authors speculated that decreased VEGF levels could be attributed to the reduction of nocturnal hypoxia via CPAP. Conversely, another group [34] has reported that 1 week withdrawal from CPAP treatment caused an increase in daytime urinary noradrenaline, reflecting increased sympathetic activity, but this was not accompanied by increased circulating VEGF levels. However, it is not clear whether one week is adequate to provoke a rise in VEGF concentrations, or if a longer period is necessary [34].

We have found decreased IGFBP-3 levels in OSA patients compared with those of controls. These levels were increased after 6 months of CPAP treatment. Our findings concur with those of Nieminen et al. [21], who compared IGFBP-3 serum levels between 30 children with OSA, 40 children with primary snoring and 35 controls. Circulating levels of IGFBP-3 were significantly decreased in OSA children compared with controls, but there was no difference compared with snorers. In the same study, IGFBP-3 levels significantly increased after adenotonsillectomy in 19 children with OSA. In contrast, in a cross-sectional study of an elderly population (mean age 77 years), there was no significant linear association between OSA and IGFBP-3 levels [22]. Sensitivity analysis, after exclusion of diabetic subjects, revealed that moderate OSA was inversely associated with IGFBP-3 levels in women but not in men [22]. The authors concluded that there is no significant association between sleep-disordered breathing and IGFBP-3 in the elderly population, in contrast to younger individuals [22].

The strengths of the present study are the homogeneous patient population, the absence of comorbidities, and the exclusion of patients not complying with CPAP therapy [35]. A potential methodological limitation is that VEGF levels were measured in serum samples. Indeed, it has been reported that serum concentrations of VEGF are higher than those found in plasma samples because of platelet and leukocyte release of VEGF during blood clotting [36]. However, this limitation applies for both OSA patients and control group and, thus, it may not affect differences between the two groups. Furthermore, Gozal et al. [37] noted a robust linear relationship between VEGF serum and plasma concentrations in OSA patients, suggesting that serum samples could be used in the setting of sleep-disordered breathing when there is no medical condition affecting leukocyte and platelet counts.

In conclusion, serum VEGF levels are increased in OSA, while IGFBP-3 levels are lower than controls and 6-months of CPAP treatment resulted in a reduction of the former and an increase of the latter. These results add to the already known uses of VEGF as a marker of hypoxia and disease activity [38-40]. In OSA patients, increased VEGF and decreased IGFBP-3 levels may be added to the novel indexes [41] denoting increased CVD risk. Finally, our results relating to CPAP use point to an additional beneficial effect of this therapeutic modality [42], but long-term results in larger patient series are required.


This study was not funded. The authors did not receive financial or professional help with the preparation of the manuscript. N Papanas has been an advisory board member of TrigoCare International; has participated in sponsored studies by Novo Nordisk and Novartis; has received honoraria as a speaker from Novo Nordisk and Pfizer; has attended conferences sponsored by TrigoCare International, Novo Nordisk, Sanofi-Aventis and Pfizer. E Maltezos has participated in sponsored studies by Novo Nordisk and Novartis and attended conferences sponsored by Wyeth, Pfizer, and Bayer. P Steiropoulos has been an advisory board member of Novartis and Menarini, received honoraria as a speaker for AstraZeneca, Boehringer Ingelheim, GlaxoSmithKline, Elpen, Novartis and Takeda


Declared none.


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