Introduction

Acromegaly is a progressive disease usually caused by a pituitary adenoma, characterized by the increased growth hormone (GH) [1] and insulin-like growth factor 1 (IGF-1) [2]. The excess GH or IGF-1 leads to several complications, such as diabetes mellitus or glucose intolerance, hypertension, and atherosclerosis [2]. Cardiovascular disease is the leading cause of morbidity and mortality in acromegaly due to a higher prevalence of emerging risk factors such as glucose tolerance, hypertension, dyslipoproteinaemia [3,4,5]. Studies showed an increased prevalence of subclinical atherosclerosis in patients with acromegaly by investigating a valuable marker of early atherosclerosis; ultrasound measurement of carotid intima-media thickness (CIMT) [4]. The mechanism of functional and morphological vascular changes in acromegaly is associated with elevated GH/IGF-1 beyond the established risk factors [3, 5]. GH excess plays a role in endothelial dysfunction; high levels of GH/IGF-1 could directly, detrimentally affect the vascular wall [3].

Fibroblast growth factor-21 (FGF-21) is a hormonal regulator of hepatic and systemic lipid and glucose homeostasis, predominantly secreted from the liver via the regulation of the transcription factor peroxisome proliferator-activated receptor α (PPARα) [6]. FGF-21 increases energy expenditure, lipolysis, hepatic fatty acid oxidation and improves insulin sensitivity in muscle, liver, and fat according to in vitro and animal models [6, 7]. Subsequently, FGF-21treatment increases weight loss, enhances glucose metabolism, and reduces liver fat [6].

Despite the metabolically beneficial effects of FGF-21in vitro and animal data, human data show a noticeable increase in FGF-21 in the presence of obesity, diabetes, and non-alcoholic fatty liver disease (NAFLD) potentially due to compensatory mechanisms and/or FGF-21 resistance [6, 7]. Elevated FGF-21 levels have also been associated with subclinical atherosclerosis, consequently coronary heart disease (CHD) [7, 8]. However, the data on the relation between FGF-21 and atherosclerotic diseases, independent of established risk factors, were conflicting in humans [7].

GH is also a metabolic hormone with regards to its role in regulating glucose and lipid metabolism. Both GH and FGF-21 are stimulated in response to fasting and bring to bear their actions on lipolysis [9]. Nevertheless, the molecular interaction among these hormones remains uncertain, and it is mainly analyzed by animal studies [9, 10]. GH stimulates lipolysis, causing free fatty acid (FFA) release from adipocytes. FFA enhances hepatic FGF-21 production by activating the peroxisome proliferator-activated receptor α (PPARα) [9]. Furthermore, FGF-21 gene transcription in the liver is induced by GH through a mechanism that involves the signal transducer and activator of transcription 5 (STAT5) [10]. The inhibition of Janus kinase 2 (JAK2)-STAT5 signaling in the liver by FGF-21 suggests a novel negative feedback loop, preventing excessive production of IGF-I, and also counter-regulates the effects of GH on lipid and glucose metabolism [10].

Contrary to the animal studies suggesting a positive effect of GH on FGF-21 production, human data demonstrated no reduction in FGF-21 levels despite significantly reduced GH and IGF-1 levels in GH-deficient patients [11]. Moreover, the replacement of long-term GH in these patients normalized IGF-1 levels and improved metabolic balance but did not increase FGF-21 levels [11]. Another data suggested that growth hormone-releasing hormone (GHRH) agonists decreased serum FGF-21 levels by reducing liver fat in humans [6].

A limited number of studies evaluated the FGF-21 levels in acromegaly [12, 13]. Although FGF-21 role on atherosclerosis in other endocrine disorders has been investigated [14, 15], the association between FGF-21 levels and atherosclerosis in acromegaly patients remains unclear. In this study, we assessed the FGF-21 levels and their association with CIMT in patients with acromegaly.

Materials and methods

The study group involved 70 patients with acromegaly divided into 2 subgroups according to disease activity: active acromegaly (AA), controlled acromegaly (CA). Seventy-two subjects were assigned to the control group (CG). All participants were recruited from the Department of Endocrinology and Metabolism Disease, Marmara University Medical School. Blood samples were achieved to evaluate FGF-21, GH, IGF-1, lipids, glucose, and insulin levels. Detailed medical histories were obtained using a standardized questionnaire. The Local Ethics Committee approved the study protocol, and the patients signed informed consent.

Acromegaly was diagnosed based on recent guidelines [16]. Transsphenoidal surgery was the first treatment choice. Adjuvant gamma knife radiosurgery (GKS) was performed if required. GH values at or below 0.4 μg/L after an oral glucose tolerance test and normal age-related IGF-1 levels were characterized as remission after surgery and/or irradiation. Biochemical control was described as normal IGF-1 levels under medication [16]. Both groups were classified as ‘controlled disease’ at remission and biochemical control for at least 3 months. Elevated serum IGF-1 levels after surgery and/or radiosurgery despite medical treatment were defined as active disease. Fifty-three percent of patients had adjuvant GKS following transsphenoidal surgery, 45.7% of patients had surgery. Despite surgery and medical treatment, 22.8% of patients had elevated IGF-1 levels. Remission was achieved in 30% of patients. Regarding medical treatment; 37.1% of patients were on somatostatin receptors ligands (SRLs), 28.6% were on SRLs plus cabergoline, and 4.3% were on SRLs plus pegvisomant treatment after surgery and/or radiosurgery in whom remission could not have been achieved.

Prediabetes and type 2 diabetes were classified in line with American Diabetes Association-ADA criteria [17]. Hypertension and dyslypidemia were diagnosed according to the latest guidelines [18, 19].

CG were selected from the patients who applied to the internal medicine and endocrinology outpatient clinics of Marmara University Medical School with no clinical acromegaly symptoms and normal IGF-1 values that matched to patients with acromegaly for age.

Physical evaluation

Patients with acromegaly and control subjects were evaluated after overnight fasting. Anthropometric measurements and height, body weight, waist circumference (WC) and blood pressure were taken. Body mass index (BMI) was calculated as weight (in kg) divided by squared height (in m) (kg/m2). Blood pressure (BP) was measured on the right arm after the patient had been settled for at least 10 min.

Vascular ultrasound measurement

CIMT was measured between a double-line reflex pattern indicating the luminal-intimal and the medial-adventitial interfaces of the common carotid artery wall on a B-mode ultrasound [20] according to the Mannheim Consensus [21]. Three measurements were examined for each of the segments, and the mean was calculated. The same experienced operator performed all scans.

Laboratory evaluation

Serum glucose, total serum cholesterol (TCHOL), high-density lipoprotein-cholesterol (HDL-c), low-density lipoprotein-cholesterol (LDL-c), and triglyceride (TG) levels were measured enzymatically. Serum insulin was detected using chemiluminescent immunoassays. Hemoglobin A1C (HbA1c) was determined by an ion-exchange HPLC method. Homeostasis model assessment of insulin resistance (HOMA-IR) was calculated. A human FGF-21 enzyme-linked immunosorbent assay (ELISA) kit (standard range 31–2000 pg/ml, (Abnova, Taipei, Taiwan) was used to determine serum FGF-21 levels. Intra-assay and inter-assay coefficients of variation were 4.7% and 7.2%, respectively. Serum GH and IGF-1 levels were measured by the immulite solid-phase, enzyme-labeled chemiluminescent immunometric assay (Roche, Immulate, 2000). The GH intra-assay and inter-assay variation coefficients were 2.9–4.6% and 4.2–6.6%, respectively, the IGF-1 inter-assay variation coefficient was 3.0–7.6%.

Statistical analysis

All analyses were performed using commercial statistical software (version 22.0; IBM SPSS). Descriptive statistics were given as the median and range for continuous data and as percentages and frequency for categorical data. Continuous variables were analyzed for homogeneity of variance using the Kolmogorov–Smirnov test. The data with normal distribution were analyzed with the t test, while we analyzed the data with uneven distribution with the Mann–Whitney U test. The Chi-square test or Fisher’s exact test were used to analyze categorical data. We performed a Pearson correlation analysis between serum FGF-21 and IGF-1, GH, lipid levels, and CIMT. The determinant of serum FGF-21 level and independent factors of atherosclerosis in patients with acromegaly was assessed with multiple regression analysis. P values less than 0.05 were considered statistically significant.

Results

The general characteristics of the acromegaly and the control group are presented in Table 1. There was no significant difference between the groups with regards to age. Hypertension, hyperlipidemia, and diabetes mellitus rates were higher in acromegaly patients. Systolic BP (SBP) and diastolic BP (DBP) were also higher in acromegaly patients. BMI and WC were similar between the groups. Patients with acromegaly had higher HbA1c levels (p:0.02). While lipid profile did not show any difference among the groups, CIMT was higher in acromegaly patients than controls [0.59 (0.39–1.03) vs. 0.41 (0.28–0.80), p < 0.001]. Median FGF-21 levels were significantly higher in control group compared to acromegaly group [396.36 (79.52–1488.7) vs. 180.22 (85.87–843.12) pg/mL, p < 0.001, respectively].

Table 1 The general characteristics of the acromegaly and the control group

According to the disease status, the characteristics of acromegaly patients are shown in Table 2. AA and CA groups showed no difference concerning gender. CA group tended to be older than AA group (p:0.06). Disease duration was longer in CA compared to AA (p:0.04). Although BMI was similar between the groups, WC was slightly higher in CA than AA (p:0.05). There was a moderate elevation in the rate of hypertension and dyslipidemia in CA compared to AA (p:0.05). However, the diabetes mellitus rate did not change between the groups (p:0.22). Glucose and lipid profiles were also similar among AA and CA groups despite moderately higher TCHOL in the CA group (p:0.05). FGF-21 levels and CIMT were not significantly different between controlled and active acromegaly patients (p:0.43; p:0.25, respectively).

Table 2 The characteristics of the acromegaly patients according to disease activity

There was no difference in FGF-21 levels [185 (87.3–304.5) vs. 178.6 (85.8–843.1) pg/mL] and CIMT (0.62 ± 0.14 vs. 0.64 ± 0.15 cm) between smoker and non-smoker acromegaly patients.

Correlation analysis of FGF-21 levels with CIMT, anthropometric, metabolic, and laboratory parameters is shown in Table 3. Although there was no correlation between FGF-21 levels and CIMT in acromegaly patients (p:0.38), a positive correlation was found between HDL-c and FGF-21 levels (p < 0.001). Considering anthropometric parameters, WC was positively correlated with FGF-21 (p:0.02). No correlation was found between IGF-1 and FGF-21 levels (p:0.18). In the control group, DBP, TCHOL, TG levels were negatively associated with FGF-21. Fasting glucose and fasting insulin levels were not correlated with FGF-21 in both groups.

Table 3 Correlation analysis of FGF-21 levels with metabolic, anthropometric, laboratory parameters and CIMT

Multiple regression analysis, establishing the influencing factors of plasma FGF-21 levels, is shown in Table 4. Model 1 included the whole study group to establish the influencing factors of plasma FGF-21 levels. Acromegaly was the only determining factor of the FGF-21 levels in the whole group. Model 2 involved acromegaly patients. HDL-c (β coefficient: 3.164, p:0.01), glucose (β coefficient: − 3.333, p:0.02), insulin (β coefficient: − 29.424, p:0.02), HbA1c (β coefficient: − 35.101, p:0.02) and HOMA-IR (β coefficient:128.084, p:0.01) were the determinants of FGF-21 levels in acromegaly patients. Regarding CIMT in multiple regression analysis, both models were also applied (Table 5). In model 1, age (β coefficient: 0.005, p:0.01), and presence of acromegaly (β coefficient: 0.173, p:0.001), were the influencing factors of CIMT in the whole study group. In model 2, age (β coefficient: 0.008, p:0.001) was the only determining factor of CIMT in the acromegaly group.

Table 4 Multiple linear regression models establishing the relationship between FGF-21 and other factors
Table 5 Multiple linear regression models establishing the relationship between CIMT and other factors

Discussion

Acromegaly is related to increased cardiovascular mortality, attributed to the concomitant atherosclerosis risk factors such as hypertension, dyslipoproteinaemia, glucose intolerance [4]. Previous data showed increased CIMT indicating endothelial dysfunction, a valuable marker of atherosclerosis in acromegaly patients [4, 5]. Several studies evaluated the mechanisms by which acromegaly induces vascular changes. Boysan et al. suggest that early atherosclerosis in patients with acromegaly may result from insulin resistance and direct vascular effects of GH and/or IGF-1 [5]. Further studies showed detrimental and direct effects of excess GH/IGF-I levels on the vascular wall, generating endothelial dysfunction [3]. IGFs are mitogenic to vascular smooth muscle cells [22], and constant IGF-1 infusion stimulates vascular smooth muscle cell proliferation after balloon catheter injury in the intima-media of rat aorta [23]. Furthermore, IGF-1 treatment increases the transcription and the expression of intercellular adhesion molecule-1[24] which is typically increased in endothelial dysfunction [25].

Elevated FGF-21 levels also have been linked to CIMT, in recent studies [7, 8]. The limited data showed conflicting results considering FGF-21 levels in acromegaly patients. To the best of our knowledge, this is the first study evaluating serum levels of FGF-21 in acromegaly patients with relation to atherosclerosis. We showed that serum FGF-21 levels were lower in acromegaly subjects than control group. There was a significant association between FGF-21 levels and the presence of acromegaly. Though a study found increased levels of FGF-21, the other one showed no significant differences in FGF-21 concentrations in acromegaly patients compared to controls [12, 13].

Although in animal data, FGF-21 reduces body weight, improves glucose metabolism, decreases liver fat [26], human data show a clear increase in FGF-21 in NAFLD that was associated with FGF-21 resistance [27]. Braun et al. showed that FGF-21 levels decreased after administration of a GHRH agonist, which was attributed to improving effects of GHRH agonist on liver fat [6]. This data suggest that increased endogenous GH pulsatility via GHRH agonist might contribute to reduction in FGF-21 resistance by affecting receptor expression or inflammation markers, causing liver fat reduction [10]. However, there has been no data indicating the effect of GH on FGF-21 receptor activity so far [10]. Our findings might be associated with reduced FGF-21 resistance via the improving effects of GH on liver fat. Also, we found a positive correlation between HDL-c and FGF-21 level in acromegaly patients. HDL-c, glucose, insulin, HbA1c and HOMA-IR were the determinants of FGF-21 levels in acromegaly patients according to multiple regression analysis.

Increased CIMT represent the earliest functional and structural vascular changes in atherogenesis and is associated with classical cardiovascular risk factors [3]. Studies suggest that acromegaly patients are associated with increased CIMT due to endothelial dysfunction [3, 5]. Similarly, we showed increasd CIMT in acromegaly patients independent of established risk factors for atherosclerosis. Age and presence of acromegaly were associated with CIMT in the whole study group. Age was an independent risk factor for increased CIMT in another study [7]. Kartal et al. showed that active acromegaly patients had higher CIMT than matched controls and inactive ones [5]. We found no significant difference regarding CIMT between AA and CA patients.

Previous studies on the association between FGF-21 and atherosclerosis have shown inconsistent results [28, 29]. High-serum FGF-21 levels were related to adverse lipid profiles in CHD patients, representing a paradoxical increase in CHD patients due to a compensatory response or resistance to FGF-21 [28]. Conversely, FGF-21 levels were associated with carotid atherosclerosis in women, independent of established risk factors including adverse lipid profiles and C-reactive protein [7]. Another study assessed the relationship between serum FGF-21 levels and atherosclerosis in patients without non-alcoholic fatty liver disease, and examined whether baseline FGF-21 could predict occurrence of atherosclerotic cardiovascular disease in a 7-year prospective cohort [8]. FGF-21 was significantly higher in patients with subclinical carotid atherosclerosis and baseline FGF-21 was significantly elevated in those who developed ischemic heart disease in the follow-up [8]. However, another study showed significantly lower serum FGF-21 concentrations in patients with subclinical atherosclerosis [30].

There has been no data considering the association between FGF-21 levels and atherosclerosis in acromegaly patients thus far. Our data showed no correlation between FGF-21 levels and CIMT in patients with acromegaly.

In an analysis of 141 DM subjects, the presence of carotid artery plaque was associated with an elevation in serum FGF-21 levels [31]. In contrast, other study that compared 60 CHD subjects with 129 BMI-matched controls, demonstrated that serum FGF-21 levels were not correlated with CHD, despite a significant association between FGF-21 levels and various established cardiovascular risk factors, such as lipid profiles, insulin resistance, and metabolic syndrome [29]. Similarly, FGF-21 was related to glucose, insulin, HOMA-IR, and HbA1c in the present study despite the lack of correlation between FGF-21 and CIMT.

Some limitations of our study should be disclosed:

  1. 1.

    The cross-sectional design of the study disallowed the determination of a causative relationship. Further studies are needed to demonstrate the precise relationship between atherosclerosis and FGF-21 in patients with acromegaly.

  2. 2.

    The imbalance of gender between acromegaly and the control group was another limitation of the study. However, sex did not influence CIMT, whereas age was the influencing factor of CIMT in multiple regression analyses in previous studies in line with our results [7, 8].

Conclusions

Our study is the first to examine the relationship between serum FGF-21 levels and atherosclerosis in acromegaly patients. We found lower serum FGF-21 levels in acromegaly subjects compared to the control group. There was a significant association between FGF-21 levels and the presence of acromegaly. This result may be associated with the improving effects of growth hormone on liver fat, where the primary regulation of FGF-21 takes place. The presence of acromegaly was associated with higher CIMT. Although there was no correlation between FGF-21 levels and CIMT, a significant correlation of FGF-21 existed with HDL-c. Glucose metabolic markers were the determining factors of the FGF-21 in acromegaly patients.

The role of FGF-21 in acromegaly patients as a beneficial marker or target of atherosclerotic processes calls for additional research.