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ORIGINAL RESEARCH article

Front. Endocrinol., 02 November 2021
Sec. Pituitary Endocrinology
This article is part of the Research Topic Insight into Acromegaly Complications View all 6 articles

Myokines in Acromegaly: An Altered Irisin Profile

&#x;ukasz MizeraŁukasz Mizera1Jowita Halupczok-y&#x;a*Jowita Halupczok-Żyła1*Katarzyna Kola
kovKatarzyna Kolačkov1Agnieszka ZembskaAgnieszka Zembska1J&#x;drzej Grzegrz&#x;kaJędrzej Grzegrzółka2Diana J&#x;drzejukDiana Jędrzejuk1Marek BolanowskiMarek Bolanowski1Jacek DaroszewskiJacek Daroszewski1
  • 1Department of Endocrinology, Diabetes and Isotope Therapy, Wrocław Medical University, Wrocław, Poland
  • 2Department of Histology and Embryology, Wrocław Medical University, Wrocław, Poland

Introduction: The muscle is an endocrine organ controlling metabolic homeostasis. Irisin and myostatin are key myokines mediating this process. Acromegaly is a chronic disease with a wide spectrum of complications, including metabolic disturbances.

Purpose: To examine the influence of acromegaly on irisin and myostatin secretion and their contribution to metabolic profile and body composition.

Materials and Methods: In 43 patients with acromegaly and 60 controls, serum levels of irisin, myostatin, growth hormone (GH), insulin-like growth factor 1 (IGF-1), parameters of glucose, and lipid metabolism were determined. Body composition was assessed with dual-energy x-ray absorptiometry.

Results: The irisin concentration was significantly lower in patients with acromegaly compared to controls (3.91 vs. 5.09 μg/ml, p = 0.006). There were no correlations between irisin and GH/IGF-1 levels. In the study group, irisin was negatively correlated with fasting insulin (r = −0.367; p = 0.042), HOMA-IR (r = −0.510; p = 0.011), and atherogenic factors: Castelli I (r = −0.416; p = 0.005), Castelli II (r = −0.400; p = 0.001), and atherogenic coefficient (AC) (r = −0.417; p = 0.05). Irisin and myostatin concentrations were also lower in acromegalics with insulin resistance than without (2.80 vs. 4.18 μg/ml, p = 0.047; 81.46 vs. 429.58 ng/L, p = 0.018, respectively). There were no differences between study group and controls in myostatin concentration. Myostatin levels negatively correlated with GH (r = −0.306; p = 0.049), HOMA-IR (r = −0.046; p = 0.411), and insulin levels (r = −0.429; p = 0.016).

Conclusions: Decreased irisin concentrations in acromegaly may suggest impaired hormonal muscle function contributing to metabolic complications in this disorder. However, learning more about the association between myostatin and GH in acromegaly requires further studies. Nevertheless, it appears that myostatin is not critical for muscle mass regulation in acromegaly.

Introduction

Currently, the skeletal muscle role is considered to extend far beyond its mechanical function. Studies of the last two decades identified the muscle as the largest endocrine organ. Its secretome consists of numerous peptides regulating multiple physiological processes in an auto-, para-, and endocrine manner, especially muscle growth and energy metabolism, but also immune, endothelial, and central nervous system function (1).

In 2012, Bostrom et al. discovered a new myokine—irisin, whose activity can counteract metabolic disorders in a remarkable way. Under the influence of irisin, white adipose tissue (WAT) acquires brown adipose tissue (BAT)-like properties through the formation of uncoupling protein 1 expressing beige adipocytes, which disperse energy in the process of non-shivering thermogenesis. In this regard, beige adipocytes utilize glucose and free fatty acids in a non-insulin-dependent way (2), which protects against lipotoxicity and favors weight loss (3). Recent studies have shed light on the pleiotropic action of irisin. Through interaction with its receptor in various cells, this myokine exhibits a profound effect on glucose and lipid metabolism in a manner non-dependent on WAT browning. Irisin was found to increase muscle and liver insulin sensitivity (4, 5), act as a β-cell secretagogue, promote β-cell proliferation and survival in gluco- and lipotoxic conditions (68), as well as aid to maintain metabolic homeostasis through increasing autophagy (9, 10).

Myostatin is a member of the transforming growth factor β (TGF-β) superfamily protein abundantly expressed and secreted from muscle. Furthermore, myostatin is a potent negative regulator of muscle growth and development. It acts by inhibiting myogenic stem cells and myocytes, preventing hyperplasia and hypertrophy (11). Deletion of the myostatin gene results in the famous double-muscle phenotype in cattle (12). This type of mutation was also described in humans yielding extreme muscle hypertrophy (13). Besides its influence on the skeletal muscle, myostatin is also highly involved in the regulating of glucose metabolism. Myostatin antagonizes insulin action on the post-receptor phase through inhibition of Akt phosphorylation (14, 15) and inhibitory effect on irisin secretion (16). In consequence, a depressed function of this myokine results in a better metabolic phenotype with resistance to high-fat diet-induced obesity and insulin resistance (11, 17). Conversely, the administration of recombinant myostatin induces insulin resistance (14).

Acromegaly is a chronic systemic disease, most often caused by a benign somatotroph pituitary adenoma and may be considered a natural model of chronic GH excess. Metabolic complications are common in this disease and contribute to a 1.5–2.5 times higher standardized mortality ratio with cardiovascular disease as a major cause of death (18, 19). GH antagonizes insulin action and increases lipolysis causing insulin resistance and lipotoxicity (2023). High GH levels also promote altered adipose tissue distribution and phenotype with unfavorable adipokine profiles (24). On the other hand, IGF-1 may have some beneficial effects with its weak insulin activity (25) and possible ability to reduce low-density lipoprotein (LDL) oxidation (26), and GH stimulates β-cell proliferation and function. In the case of active acromegaly, most patients are insulin resistant, and the rates of overt glucose abnormalities are increased several times compared to the general population (27, 28). Insulin resistance is a factor strongly predisposing to cardiovascular complications, hypertension, diabetes, obstructive sleep apnea, and reproductive health issues, and influences cancer promotion (29). Lipid abnormalities affect 13%–53% of acromegaly patients, mainly manifesting as atherogenic dyslipidemia. The occurrence of hypercholesterolemia in acromegaly is less well-documented, with some studies suggesting higher and some normal levels (30). The successful treatment causes improvement in metabolic disorders; however, the increased risk of glucose abnormalities persists (31). Given its pathophysiological background, patients with acromegaly at different stages of treatment are a suitable model for studies of growth hormone activity. Thus, we performed a study assessing myokine profile in these patients to investigate the effect of GH overproduction on muscle secretome in the context of myostatin and irisin secretion. In addition, we examined the potential influence of irisin and myostatin concentrations on metabolic complications in this disease.

Materials and Methods

Patients

In this single-center cross-sectional study, 43 patients with acromegaly constituting the study group and 60 controls were enrolled. The study was approved by the bioethics committee of the Wrocław Medical University.

Diagnosis of acromegaly was compliant with international guidelines (32). Detailed patient data are presented in Table 1. In the study group, 38 patients underwent surgery—among those, 15 were without pharmacotherapy and 25 patients received somatostatin analogs (SSA). In addition, the patients were not treated with pegvisomant or cabergoline and five patients had radiotherapy. The median time from diagnosis was 6 years (range 0–34 years). Among patients with acromegaly, 12 patients had the active and 31 controlled form of the disease. Patients were considered controlled if they showed GH suppression below 1 ng/ml in an oral glucose tolerance test (OGTT) and IGF-1 within the normal range for age and sex in patients treated only surgically or random GH was <2.5 ng/ml with IGF-1 within the normal range for age and sex in patients treated pharmacologically.

TABLE 1
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Table 1 Clinical characteristics of the study group and controls.

The control group consisted of patients without endocrinopathies, with the exception of diabetes and any known inflammatory disease. Controls were matched to the study group in terms of age, sex, and the occurrence of diabetes and lipid abnormalities.

For analytical purposes, the study group was further subdivided according to:

● Insulin resistance (IR)—patients were assigned to the IR (+) group if diabetes was excluded and their HOMA-IR exceeded 2.1. The cutoff was chosen based on the upper quartile determined for the Polish population (33).

● Diabetes and prediabetes (defined as impaired fasting glucose [IFG] or impaired glucose tolerance [IGT])—patients were assigned to the diabetes (+) or prediabetes (+) group according to known pre-existing diabetes or based on fasting glucose level and 75 g oral glucose tolerance test using criteria proposed by the American Diabetes Association (34).

● Atherogenic dyslipidemia—patients were assigned to atherogenic dyslipidemia group (+) if the following criteria was met: TG >150 mg/dl and HDL-C <40 mg/dl for men and <45 mg/dl for women (35).

● Hypercholesterolemia—patients were assigned to the hypercholesterolemia (+) group if their total cholesterol (TC) or low-density lipoprotein cholesterol (LDL-C) exceeded the upper limit of the norm for the assay or were treated for hypercholesterolemia

Methods

Biochemical Analyses

All fasting blood samples were collected, after at least 1 h of rest. Serum aliquots were stored at −70°C. Irisin was measured by ELISA assay (Biovendor—Laboratorni medicina a.s., Czech Republic, range 0.001–5 µg/ml, sensitivity 1 ng/ml). Myostatin was measured by ELISA assay (Bioassay Technology Laboratory, Shanghai, China, range 0.5–2000 ng/L, sensitivity 0.25 ng/L). All reactions were run in duplicate.

Glucose and lipids were measured by immunochemiluminometric methods (ARCHITECT, Abbott Diagnostics). LDL-C levels were measured using the Friedewald formula (36). Serum insulin, GH, and IGF-1 were measured by immunochemiluminometric assay (IMMULITE 2000, Siemens Healthcare Diagnostics).

Insulin Resistance, β-Cell Function Indices, and Atherogenic Factors

Insulin resistance and β-cell function indices were calculated only for subjects without diabetes. Homeostasis model assessment for insulin resistance for β-cell function (HOMA-β) was calculated using the following formula: 20 × fasting insulin (μIU/ml)/fasting glucose(mmol/ml) − 3.5. Homeostasis model assessment for insulin resistance (HOMA-IR) was calculated using the following formula: fasting insulin [μIU/ml] × fasting glucose [mg/dl]/18/22.5.

Atherogenic Factors

For each patient, the following five atherogenic factors were calculated:

● Atherogenic Index of Plasma (AIP) (37);

● Castelli I (37);

● Castelli II (37);

● Atherogenic coefficient (AC) (37); and

● TG/high-density lipoprotein (HDL) ratio (38).

Body Composition Measures

Body composition measures were assessed by dual-energy x-ray absorptiometry (DXA) using a Hologic Discovery QDR Series densitometer (Hologic Incorp. USA, APEX 4.5.2.1 software version, Windows 7 Professional system). The following body composition measures were assessed:

● Total body fat percentage (% fat);

● Fat mass (FM);

● Fat mass index (FMI);

● Fat free mass index (FFMI);

● Lean mass (LM);

● Lean mass index (LMI);

● Appendicular lean mass index (ALMI);

● Appendicular lean mass/BMI (ALM/BMI); and

● Trunk body fat percentage/legs body fat percentage—reflecting the visceral to subcutaneous fat ratio (% fat trunk/% fat legs).

Statistical Analysis

The Kolmogorov–Smirnov test was performed to assess the normality assumption. The number of cases in each category was compared using the Chi-square or Fisher exact test. The unpaired t-test or Mann–Whitney test was used to compare the differences of the parameters in the examined groups. Comparison between more than two groups was made by the ANOVA or Kruskal–Wallis and Dunn’s multiple comparison test. Finally, the Pearson or Spearman correlation test was used to examine the existing correlations. All statistical analyses were performed using Prism 5.0 (GraphPad, La Jolla, California, USA) and STATISTICA 10 (StatSoft Inc. Tulsa, Oklahoma, USA). The significance threshold was set at p < 0.05.

Results

Comparison of Clinical and Laboratory Characteristics

There were no significant differences between the study group and controls in age, sex, insulin resistance, prediabetes, diabetes, hypertension, lipid disturbances, and known cardiovascular disease (Table 1).

Patients with acromegaly demonstrated significantly lower serum irisin concentrations than controls (3.91 vs. 5.09 μg/ml, p = 0.006) (Table 2). Myostatin concentrations did not differ among the studied groups.

TABLE 2
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Table 2 Laboratory parameters in patients with acromegaly and controls.

Serum GH and IGF-1 levels were significantly higher in patients with acromegaly compared to controls (0.25 ng/ml vs. 1.32 ng/ml and 112.5 ng/ml vs. 182.17 ng/ml, respectively, p < 0.001) (Table 2). BMI, LM, FFMI, and LMI were higher in acromegaly patients than in controls. The HbA1c percentage was higher in the study group than controls (6.1% vs. 5.5%, p = 0.001), whereas HOMA-β was significantly lower in the study group than controls (94.75 vs. 139.18, p = 0.035) (Table 2).

Comparison of the patients with active acromegaly, controlled disease, and controls did not reveal significant differences in irisin and myostatin serum concentrations (Table 3).

TABLE 3
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Table 3 Circulating myokine concentrations in patients with active acromegaly, controlled acromegaly, and controls.

In the subgroup analyses of patients with acromegaly, those with IR had significantly lower serum irisin (2.80 vs. 4.18 μg/ml, p = 0.047) and myostatin (81.46 vs. 429.58 ng/L, p = 0.018) concentrations than those without IR (Table 4).

TABLE 4
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Table 4 Circulating myokine concentrations in acromegaly patients with and without selected complications.

The circulating levels of irisin and myostatin did not significantly differ among subgroups of patients with acromegaly divided according to prediabetes, diabetes, hypercholesterolemia, and atherogenic dyslipidemia (Table 4).

Correlations

In patients with acromegaly, irisin was negatively correlated with fasting insulin (r = −0.367; p = 0.042), HOMA-IR (r = −0.510; p = 0.011), Castelli I (r = −0.416; p = 0.005), Castelli II (r = −0.400; p = 0.001), and AC (r = −0.417; p = 0.005) whereas in controls, irisin correlated significantly only with age (r = −0.429; p = 0.016) (Table 5).

TABLE 5
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Table 5 Correlations of the circulating myokine concentrations with metabolic parameters in patients with acromegaly.

In patients with acromegaly, myostatin was negatively correlated with GH, fasting insulin, and HOMA-IR. In controls, myostatin was negatively correlated with BMI (r = −0.277; p = 0.047), lean and muscle mass indices: LM (r = −0.325; p = 0.024), LMI (r = −0.367; p = 0.001), FFMI (r = −0.368; p = 0.01), and ALMI (r = −0.390; p = 0.006) (Table 5). We found no associations between the duration of the disease and irisin or myostatin levels.

Discussion

Irisin and myostatin are crucial myokines participating in the regulation of metabolic homeostasis controlled by the muscle. Acromegaly is a systemic disorder with many complications, including metabolic disturbances. Therefore, we investigated the myokine secretion profile in patients with different activity of acromegaly.

Irisin

For the first time, we showed that acromegaly is associated with decreased circulating irisin levels, which points toward the negative impact of chronic GH excess on irisin secretion. Nonetheless, this association does not appear to be connected with GH levels directly, as there was no statistically significant difference between active and controlled acromegaly groups, and irisin did not correlate with GH and IGF-1 levels. A decrease in irisin secretion seems to be a sustained effect of chronic supraphysiological GH levels, persistent even after achieving the normal hormonal status. This would not be surprising given the fact that the control of acromegaly in many cases causes an improvement rather than a full recovery from the disease complications (19, 31, 39, 40).

The factors associated with irisin levels in acromegaly patients were insulin resistance indices (HOMA-IR, fasting insulin) and atherogenic factors (Castelli I Castelli II, AC). Moreover, in the subgroup analysis, patients with acromegaly and IR had lower serum irisin concentration than those without IR. These findings likely reflect the beneficial effect of irisin on carbohydrate metabolism in this group of patients. The results in the study group differ from the controls, for whom irisin correlated only with age. Irisin is an insulin-sensitizing hormone, which has a positive effect on lipid profile through its pleiotropic action. Despite this, the majority of studies (4144) including recent meta-analysis (45), but not all (46, 47), indicate that circulating irisin levels are positively associated with unfavorable metabolic parameters, including IR and lipid disorders in non-diabetic patients. These observations are commonly explained by the phenomenon of “irisin resistance”, which might contribute to developing metabolic disturbances or adaptive increased compensatory secretion to restore homeostasis. Thus, the negative correlation between IR indices and atherogenic factors in our study group was unexpected. These findings signal a different pathophysiological background of metabolic abnormalities in acromegaly than in the general population. Whereas in the latter, the presumed irisin resistance or compensatory increased secretion occurs, in acromegaly, there may be relative irisin deficiency with preserved normal irisin action reflected by lower serum concentration of this myokine and negative association with adverse metabolic parameters.

On the basis of the results of our study, we hypothesize that there is a long-lasting impairment in hormonal muscle function in conditions of long-term GH excess that contributes to the development of metabolic complications. Decreased irisin concentrations are associated with muscle pathology. Whereas acute muscle injury may cause increased irisin levels (48), several studies suggest a decrease in circulating irisin in chronic myopathies such as myotonic dystrophy (49), sarcopenia (50), and Cushing disease (51) or hypothyroidism (52)-associated myopathies. Until now, little attention has been paid to muscle disorders in acromegaly, but some research points toward the existence of myopathy connected with this disease, clinically manifesting as muscle weakness (5355), diplopia (56), and muscle atrophy (55) with inhomogeneous pattern in muscle biopsy examination (5759) and occasionally elevated creatine kinase or myopathic electromyography record (57, 60). Impairment in muscle hormonal function in acromegaly would be the other side of the coin of this complication. Together with the results of our study, this would imply the existence of acromegalic muscle disease with impaired mechanical and endocrine function. We postulate to introduce the term “acromegalic myopathy” with myokine metabolism dysfunction as a component. It is worth noting that many years ago, our team suggested that the activity of the cathepsin B enzyme, nowadays considered a myokine, may be taken into account as an overall adjuvant marker of the acromegaly complications (61).

Current knowledge about myokine profile in acromegaly is scarce, and circulating irisin levels in this disease were evaluated only in one study by Calan et al. (62). The authors found an increased irisin concentration in the active as well as controlled acromegaly as compared to the controls, positively associated with IR indices and non-classic cardiovascular disease risk factors. Although we cannot find definite reasons for these discrepancies, different populations with dissimilar treatment patterns, varying age, disease duration, physical activity status, and disease complication rates may contribute, particularly since, in the study of Calan et al., patients seem to be younger and have higher rates of diabetes, hypertension, and worse lipid measures, even in the controlled acromegaly group, than in our study. In this regard, it is worth noting that acromegaly was reported as an inhomogeneous disease with distinct pathogenesis, clinical picture, and more aggressive disease in young patients (63). Moreover, with the duration of the disease, its clinical picture may vary. Acromegalic cardiomyopathy may be a notable example when initially GH excess induces physiological cardiac muscle growth with functional benefit. Still, with time, fibrosis occurs, leading to diastolic dysfunction, valvular defects, and risk of arrhythmias, and consequently heart failure with impaired ejection fraction (64). Anyway, we must stress that our result strictly fits the contemporary mechanistic understanding of irisin function in metabolic disorders.

Myostatin

To the best of our knowledge, this is the first study assessing myostatin levels in acromegaly. We found no significant differences in circulating myostatin levels between patients with acromegaly, neither active nor controlled, and controls. Nevertheless, further data analysis demonstrated that serum myostatin in the study group was negatively correlated with GH levels. This observation points towards negative regulation of myostatin levels by GH in acromegaly. The effect of GH on myostatin secretion is not clearly established in general. There are several in vitro studies that yield inconsistent results (6567). Yet, Liu et al. demonstrated that patients with growth hormone deficiency (GHD) are characterized by elevated circulating myostatin levels and increased myostatin mRNA expression. Moreover, treatment with GH in these subjects resulted in a reduction of myostatin concentration and mRNA expression parallel to an increase in lean mass (68). Nonetheless, in another group of GHD patients, GH therapy did not affect myostatin gene expression. However, the conflicting findings may be connected with lower doses and shorter treatment time (6 vs. 18 months) (69). Indeed, the full effect of GH treatment on muscle tissue may require a longer time, exceeding 6 months (70). In mechanistic studies, GH increases whole-body protein synthesis without affecting proteolysis and induces muscle hypertrophy. The effect is mediated by IGF-1, but direct GH influence is also debated (71). Although administration of GH has a controversial effect on muscle tissue in healthy subjects, in patients with GHD, decrease in muscle mass and strength is well documented and improves after initiation of substitution therapy (72, 73). Possible negative regulation of myostatin by GH in acromegaly raises the question about its relevance in the anabolic effect of GH on muscle tissue. In the study by Liu et al., GH-induced decrease in myostatin was connected with an increase in lean mass (68). In another study, no impact on myostatin of the same treatment was paralleled by no effect on muscle mass measures (69). These observations suggest that treatment-induced muscle growth in GHD is dependent on myostatin inhibition, indeed, though, in our study, we did not observe any correlation of myostatin with any muscle mass indices. It should be noted that this observation differed from the control group in which myostatin was significantly correlated with ALMI, LM, LMI, and FFMI. The current study results indicate that in contrast to the general population, the role of myostatin is not critical for muscle mass regulation in acromegaly.

Serum myostatin concentration in the study group was negatively correlated with HOMA-IR and fasting insulin. Additionally, myostatin was significantly lower in the subgroup of acromegalics with IR compared to those without IR. Myostatin is more than a muscle mass regulator and has a well-established, powerful effect on glucose metabolism, mostly through insulin antagonism (14, 15). In overweight and obese subjects, muscle myostatin expression was found to be inversely correlated with insulin sensitivity (74). Moreover, after bariatric surgery or systematic aerobic activity improvement of insulin sensitivity, myostatin gene expression in muscle as well as muscle and serum myostatin concentrations decline (14, 75). An increase in myostatin muscle expression was reported in patients with diabetes, prediabetes, and in close relatives of diabetic patients (7678). In the light of these observations and the fact that myostatin was negatively associated with GH, the discordant finding in our study is possibly a result of the joint influence of GH on myostatin and IR indices, given the diabetogenic action of GH. Therefore, a negative correlation of myostatin with HOMA-IR and insulin does not reflect a causal relationship. Nevertheless, an adaptive decrease in myostatin secretion in disadvantageous metabolic conditions counteracting IR would also explain the results. In that case, a parallel to a somewhat similar proposed phenomenon of a decrease in myostatin secretion in conditions strongly predisposing to muscle loss would be appropriate (79).

Limitations

This study has several limitations. First, a small sample size, resulting from the rarity of the disease, determines low statistical power. Second, the reliability of the measurement of irisin with ELISA is debated as antibodies used in this method may lack specificity (8082). Third, circulating myostatin represents a mainly latent form composed of C-terminal biologically active peptide non-covalently bound with propeptide, which inhibits its action. This complex is unpaired in target sites. Moreover, myostatin acts principally in a paracrine matter. Considering the above issues, the measurement of serum concentration may not fully correspond to its actual activity.

Conclusions

Acromegaly is associated with impaired hormonal muscle function characterized by lower irisin secretion independent of the control of the disease. The decrease in irisin secretion may be involved in the development of metabolic complications in this disease. We are first to document the negative association of circulating myostatin levels with GH in acromegaly, which points toward GH as a negative regulator of myostatin secretion; however, this association does not appear to impact muscle mass in this disease significantly.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.

Ethics Statement

The studies involving human participants were reviewed and approved by the Bioethics Committee at Wroclaw Medical University. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

ŁM, MB, and JD designed the project. The first draft of the manuscript was written by ŁM. JH-Ż, MB, and JD wrote, reviewed, and edited the manuscript. Data collection was performed by JH-Ż. KK and AZ performed laboratory measurements and wrote a section of the manuscript. DJ was responsible for body composition measures. JG performed the statistical analysis. All authors contributed to the final version of the manuscript and approved it for publication.

Funding

This study was supported by grant number SUB.C120.20.016 (Ministry of Science and Higher Education).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

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References

1. Pedersen BK, Febbraio MA. Muscles, Exercise and Obesity: Skeletal Muscle as a Secretory Organ. Nat Rev Endocrinol (2012) 8:457–65. doi: 10.1038/nrendo.2012.49

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Shimizu Y, Kielar D, Minokoshi Y, Shimazu T. Noradrenaline Increases Glucose Transport Into Brown Adipocytes in Culture by a Mechanism Different From That of Insulin. Biochem J (1996) 314:485–90. doi: 10.1042/bj3140485

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Lizcano F. The Beige Adipocyte as a Therapy for Metabolic Diseases. Int J Mol Sci (2019) 20:5058. doi: 10.3390/ijms20205058

CrossRef Full Text | Google Scholar

4. Xin C, Liu J, Zhang J, Zhu D, Wang H, Xiong L, et al. Irisin Improves Fatty Acid Oxidation and Glucose Utilization in Type 2 Diabetes by Regulating the AMPK Signaling Pathway. Int J Obes (2016) 40:443–51. doi: 10.1038/ijo.2015.199

CrossRef Full Text | Google Scholar

5. Lee HJ, Lee JO, Kim N, Kim JK, Kim HI, Lee YW, et al. Irisin, a Novel Myokine, Regulates Glucose Uptake in Skeletal Muscle Cells via AMPK. Mol Endocrinol (Baltimore Md.) (2015) 29:873–81. doi: 10.1210/me.2014-1353

CrossRef Full Text | Google Scholar

6. Natalicchio A, Marrano N, Biondi G, Spagnuolo R, Labarbuta R, Porreca I, et al. The Myokine Irisin Is Released in Response to Saturated Fatty Acids and Promotes Pancreatic β-Cell Survival and Insulin Secretion. Diabetes (2017) 66:2849–56. doi: 10.2337/db17-0002

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Liu S, Du F, Li X, Wang M, Duan R, Zhang J, et al. Effects and Underlying Mechanisms of Irisin on the Proliferation and Apoptosis of Pancreatic β Cells. PloS One (2017) 12(4):e0175498. doi: 10.1371/journal.pone.0175498

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Zhang D, Xie T, Leung PS. Irisin Ameliorates Glucolipotoxicity-Associated β-Cell Dysfunction and Apoptosis via AMPK Signaling and Anti-Inflammatory Actions. Cell Physiol Biochem (2018) 51:924–37. doi: 10.1159/000495395

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Ye X, Shen Y, Ni C, Ye J, Xin Y, Zhang W, et al. Irisin Reverses Insulin Resistance in C2C12 Cells via the P38-MAPK-PGC-1α Pathway. Peptides (2019) 119:170120. doi: 10.1016/j.peptides.2019.170120

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Li Q, Jia S, Xu L, Li B, Chen N. Metformin-Induced Autophagy and Irisin Improves INS-1 Cell Function and Survival in High-Glucose Environment via AMPK/SIRT1/PGC-1α Signal Pathway. Food Sci Nutr (2019) 7:1695–703. doi: 10.1002/fsn3.1006

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Guo T, Jou W, Chanturiya T, Portas J, Gavrilova O, McPherron AC. Myostatin Inhibition in Muscle, But Not Adipose Tissue, Decreases Fat Mass and Improves Insulin Sensitivity. PloS One (2009) 4:e4937. doi: 10.1371/journal.pone.0004937

PubMed Abstract | CrossRef Full Text | Google Scholar

12. McPherron AC, Lee SJ. Double Muscling in Cattle Due to Mutations in the Myostatin Gene. Proc Natl Acad Sci (1997) 94:12457–61. doi: 10.1073/pnas.94.23.12457

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Schuelke M, Wagner KR, Stolz LE, Hübner C, Riebel T, Kömen W, et al. Myostatin Mutation Associated With Gross Muscle Hypertrophy in a Child. N Engl J Med (2004) 350:2682–8. doi: 10.1056/NEJMoa040933

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Hittel DS, Axelson M, Sarna N, Shearer J, Huffman KM, Kraus WE. Myostatin Decreases With Aerobic Exercise and Associates With Insulin Resistance. Med Sci Sports Exercise (2010) 42:2023–9. doi: 10.1249/MSS.0b013e3181e0b9a8

CrossRef Full Text | Google Scholar

15. Zhang C, McFarlane C, Lokireddy S, Bonala S, Ge X, Masuda S, et al. Myostatin-Deficient Mice Exhibit Reduced Insulin Resistance Through Activating the AMP-Activated Protein Kinase Signalling Pathway. Diabetologia (2011) 54:1491–501. doi: 10.1007/s00125-011-2079-7

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Dong J, Dong Y, Dong Y, Chen F, Mitch WE, Zhang L. Inhibition of Myostatin in Mice Improves Insulin Sensitivity via Irisin-Mediated Cross Talk Between Muscle and Adipose Tissues. Int J Obes (2016) 40:434–42. doi: 10.1038/ijo.2015.200

CrossRef Full Text | Google Scholar

17. Zhao B, Wall RJ, Yang J. Transgenic Expression of Myostatin Propeptide Prevents Diet-Induced Obesity and Insulin Resistance. Biochem Biophys Res Commun (2005) 337:248–55. doi: 10.1016/j.bbrc.2005.09.044

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Mizera Ł, Elbaum M, Daroszewski J, Bolanowski M. Cardiovascular Complications of Acromegaly. Acta Endocrinologica (Bucharest Romania: 2005) (2018) 14:365–74. doi: 10.4183/aeb.2018.365

CrossRef Full Text | Google Scholar

19. Giustina A, Barkan A, Beckers A, Biermasz N, Biller BMK, Boguszewski C, et al. A Consensus on the Diagnosis and Treatment of Acromegaly Comorbidities: An Update. J Clin Endocrinol Metab (2020) 105:e937–46. doi: 10.1210/clinem/dgz096

CrossRef Full Text | Google Scholar

20. Frara S, Maffezzoni F, Mazziotti G, Giustina A. Current and Emerging Aspects of Diabetes Mellitus in Acromegaly. Trends Endocrinol Metabolism: TEM (2016) 27:470–83. doi: 10.1016/j.tem.2016.04.014

CrossRef Full Text | Google Scholar

21. Hansen TK, Gravholt CH, ØRskov H, Rasmussen MH, Christiansen JS, Jørgensen JO. Dose Dependency of the Pharmacokinetics and Acute Lipolytic Actions of Growth Hormone. J Clin Endocrinol Metab (2002) 87:4691–8. doi: 10.1210/jc.2002-020563

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Møller N, Schmitz O, Pørksen N, Møller J, Jørgensen JO. Dose-Response Studies on the Metabolic Effects of a Growth Hormone Pulse in Humans. Metabolism: Clin Exp (1992) 41:172–5. doi: 10.1016/0026-0495(92)90147-3

CrossRef Full Text | Google Scholar

23. Freda PU, Shen W, Heymsfield SB, Reyes-Vidal CM, Geer EB, Bruce JN, et al. Lower Visceral and Subcutaneous But Higher Intermuscular Adipose Tissue Depots in Patients With Growth Hormone and Insulin-Like Growth Factor I Excess Due to Acromegaly. J Clin Endocrinol Metab (2008) 93:2334–43. doi: 10.1210/jc.2007-2780

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Olarescu NC, Bollerslev J. The Impact of Adipose Tissue on Insulin Resistance in Acromegaly. Trends Endocrinol Metabolism: TEM (2016) 27:226–37. doi: 10.1016/j.tem.2016.02.005

CrossRef Full Text | Google Scholar

25. Rajpathak SN, Gunter MJ, Wylie-Rosett J, Ho GYF, Kaplan RC, Muzumdar R, et al. The Role of Insulin-Like Growth Factor-I and Its Binding Proteins in Glucose Homeostasis and Type 2 Diabetes. Diabetes/Metabolism Res Rev (2009) 25:3–12. doi: 10.1002/dmrr.919

CrossRef Full Text | Google Scholar

26. Sukhanov S, Snarski P, Vaughn C, Lobelle-Rich P, Kim C, Higashi Y, et al. Insulin-Like Growth Factor I Reduces Lipid Oxidation and Foam Cell Formation via Downregulation of 12/15-Lipoxygenase. Atherosclerosis (2015) 238:313–20. doi: 10.1016/j.atherosclerosis.2014.12.024

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Maione L, Chanson P. National Acromegaly Registries. Best Pract Res Clin Endocrinol Metab (2019) 33:101264. doi: 10.1016/j.beem.2019.02.001

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Dreval AV, Trigolosova IV, Misnikova IV, Kovalyova YA, Tishenina RS, Barsukov IA, et al. Prevalence of Diabetes Mellitus in Patients With Acromegaly. Endocrine Connections (2014) 3:93–8. doi: 10.1530/EC-14-0021

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Bolanowski M, Boguszewski CL, Colao A, Jawiarczyk-Przybyłowska A. Editorial: Health-Related Complications of Acromegaly. Front Endocrinol (2020) 11:496. doi: 10.3389/fendo.2020.00496

CrossRef Full Text | Google Scholar

30. Gadelha MR, Kasuki L, Lim DST, Fleseriu M. Systemic Complications of Acromegaly and the Impact of the Current Treatment Landscape: An Update. Endocrine Rev (2019) 40:268–332. doi: 10.1210/er.2018-00115

CrossRef Full Text | Google Scholar

31. Rochette C, Graillon T, Albarel F, Morange I, Dufour H, Brue T, et al. Increased Risk of Persistent Glucose Disorders After Control of Acromegaly. J Endocrine Soc (2017) 1:1531–9. doi: 10.1210/js.2017-00334

CrossRef Full Text | Google Scholar

32. Katznelson L, Laws ER Jr, Melmed S, Molitch ME, Murad MH, Utz A, et al. Acromegaly: An Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab (2014) 99:3933–51. doi: 10.1210/jc.2014-2700

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Szurkowska M, Szafraniec K, Gilis-Januszewska A, Szybiński Z, Huszno B. Insulin Resistance Indices in Population-Based Study and Their Predictive Value in Defining Metabolic Syndrome. Przeglad Epidemiologiczny (2005) 59:743–51.

PubMed Abstract | Google Scholar

34. American Diabetes Association. 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2019. Diabetes Care (2019) 42:S13–28. doi: 10.2337/dc19-S002

PubMed Abstract | CrossRef Full Text | Google Scholar

35. de la Sierra A, Gorostidi M, Aranda P, Corbella E, Pintó X. Prevalence of Atherogenic Dyslipidemia in Spanish Hypertensive Patients and Its Relationship With Blood Pressure Control and Silent Organ Damage. Rev Española Cardiología (English Edition) (2015) 68:592–8. doi: 10.1016/j.rec.2014.07.029

CrossRef Full Text | Google Scholar

36. Friedewald WT, Levy RI, Fredrickson DS. Estimation of the Concentration of Low-Density Lipoprotein Cholesterol in Plasma, Without Use of the Preparative Ultracentrifuge. Clin Chem (1972) 18:499–502. doi: 10.1093/clinchem/18.6.499

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Bhardwaj S, Bhattacharjee J, Bhatnagar MK, Tyag S. Atherogenic Index of Plasma, Castelli Risk Index and Atherogenic Coefficient- New Parameters in Assessing Cardiovascular Risk. Int J Pharm Bio Sci (2013) 3:354–64.

Google Scholar

38. da Luz PL, Favarato D, Junior JRFN, Lemos P, Chagas ACP. High Ratio of Triglycerides to HDL-Cholesterol Predicts Extensive Coronary Disease. Clinics (Sao Paulo Brazil) (2008) 63:427–32. doi: 10.1590/S1807-59322008000400003

CrossRef Full Text | Google Scholar

39. Adelman DT, Liebert KJ, Nachtigall LB, Lamerson M, Bakker B. Acromegaly: The Disease, Its Impact on Patients, and Managing the Burden of Long-Term Treatment. Int J Gen Med (2013) 6:31–8. doi: 10.2147/IJGM.S38594

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Melmed S, Bronstein MD, Chanson P, Klibanski A, Casanueva FF, Wass JAH, et al. A Consensus Statement on Acromegaly Therapeutic Outcomes. Nat Rev Endocrinol (2018) 14:552–61. doi: 10.1038/s41574-018-0058-5

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Park KH, Zaichenko L, Brinkoetter M, Thakkar B, Sahin-Efe A, Joung KE, et al. Circulating Irisin in Relation to Insulin Resistance and the Metabolic Syndrome. J Clin Endocrinol Metab (2013) 98:4899–907. doi: 10.1210/jc.2013-2373

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Moreno M, Moreno-Navarrete JM, Serrano M, Ortega F, Delgado E, Sanchez-Ragnarsson, et al. Circulating Irisin Levels Are Positively Associated With Metabolic Risk Factors in Sedentary Subjects. PloS One (2015) 10:e0124100. doi: 10.1371/journal.pone.0124100

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Shoukry A, Shalaby SM, El-Arabi Bdeer S, Mahmoud AA, Mousa MM, Khalifa A. Circulating Serum Irisin Levels in Obesity and Type 2 Diabetes Mellitus. IUBMB Life (2016) 68:544–56. doi: 10.1002/iub.1511

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Fukushima Y, Kurose S, Shinno H, Cao Thi Thu H, Tamanoi A, Tsutsumi H, et al. Relationships Between Serum Irisin Levels and Metabolic Parameters in Japanese Patients With Obesity. Obes Sci Pract (2016) 2:203–9. doi: 10.1002/osp4.43

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Qiu S, Cai X, Yin H, Zügel M, Sun Z, Steinacker JM, et al. Association Between Circulating Irisin and Insulin Resistance in Non-Diabetic Adults: A Meta-Analysis. Metabolism (2016) 65:825–34. doi: 10.1016/j.metabol.2016.02.006

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Tang L, Tong Y, Zhang F, Chen G, Zhang YC, Jobin J, et al. The Association of Circulating Irisin With Metabolic Risk Factors in Chinese Adults: A Cross-Sectional Community-Based Study. BMC Endocrine Disord (2019) 19:147. doi: 10.1186/s12902-019-0479-8

CrossRef Full Text | Google Scholar

47. Oelmann S, Nauck M, Völzke H, Bahls M, Friedrich N. Circulating Irisin Concentrations Are Associated With a Favourable Lipid Profile in the General Population. PloS One (2016) 11:e0154319. doi: 10.1371/journal.pone.0154319

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Gouni-Berthold I, Berthold HK, Huh JY, Berman R, Spenrath N, Krone W, et al. Effects of Lipid-Lowering Drugs on Irisin in Human Subjects In Vivo and in Human Skeletal Muscle Cells Ex Vivo. PloS One (2013) 8:e72858. doi: 10.1371/journal.pone.0072858

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Dozio E, Passeri E, Cardani R, Benedini S, Aresta C, Valaperta R, et al. Circulating Irisin Is Reduced in Male Patients With Type 1 and Type 2 Myotonic Dystrophies. Front Endocrinol (2017) 8:320. doi: 10.3389/fendo.2017.00320

CrossRef Full Text | Google Scholar

50. Chang JS, Kim TH, Nguyen TT, Park KS, Kim N, Kong ID. Circulating Irisin Levels as a Predictive Biomarker for Sarcopenia: A Cross-Sectional Community-Based Study. Geriatrics Gerontology Int (2017) 17:2266–73. doi: 10.1111/ggi.13030

CrossRef Full Text | Google Scholar

51. Guarnotta V, Prinzi A, Pitrone M, Pizzolanti G, Giordano C. Circulating Irisin Levels as a Marker of Osteosarcopenic-Obesity in Cushing’s Disease. Diabetes Metab Syndrome Obesity: Targets Ther (2020) 13:1565–74. doi: 10.2147/DMSO.S249090

CrossRef Full Text | Google Scholar

52. Ruchala M, Zybek A, Szczepanek-Parulska E. Serum Irisin Levels and Thyroid Function–Newly Discovered Association. Peptides (2014) 60:51–5. doi: 10.1016/j.peptides.2014.07.021

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Walchan EM, Guimarães FS, Soares MS, Kasuki L, Gadelha MR, Lopes AJ. Parameters of Knee Isokinetic Dynamometry in Individuals With Acromegaly: Association With Growth Hormone Levels and General Fatigue. Isokinetics Exercise Sci (2016) 24:331–40. doi: 10.3233/IES-160635

CrossRef Full Text | Google Scholar

54. Homem TS, Guimarães FS, Soares MS, Kasuki L, Gadelha MR, Lopes AJ. Balance Control and Peripheral Muscle Function in Aging: A Comparison Between Individuals With Acromegaly and Healthy Subjects. J Aging Phys Activity (2017) 25:218–27. doi: 10.1123/japa.2016-0100

CrossRef Full Text | Google Scholar

55. McNab TL, Khandwala HM. Acromegaly as An Endocrine Form of Myopathy: Case Report and Review of Literature. Endocrine Pract (2005) 11:18–22. doi: 10.4158/EP.11.1.18

CrossRef Full Text | Google Scholar

56. Heireman S, Delaey C, Claerhout I, Decock CE. Restrictive Extraocular Myopathy: A Presenting Feature of Acromegaly. Indian J Ophthalmol (2011) 59:517. doi: 10.4103/0301-4738.86330

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Mastaglia FL, Barwich DD, Hall R. Myopathy in Acromegaly. Lancet (London England) (1970) 2:907–9. doi: 10.1016/s0140-6736(70)92072-6

CrossRef Full Text | Google Scholar

58. Brumback RA, Barr CE. Myopathy in Acromegaly. A Case Study. Pathol Res Pract (1983) 177:41–6. doi: 10.1016/S0344-0338(83)80042-9

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Nagulesparen M, Trickey R, Davies MJ, Jenkins JS. Muscle Changes in Acromegaly. Br Med J (1976) 2:914–5. doi: 10.1136/bmj.2.6041.914

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Pickett JB, Layzer RB, Levin SR, Scheider V, Campbell MJ, Sumner AJ. Neuromuscular Complications of Acromegaly. Neurology (1975) 25:638–45. doi: 10.1212/wnl.25.7.638

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Daroszewski J, Bolanowski M, Kaluzny M, Siewinski M. The Imbalance of Cathepsin B-Like Activity in Acromegalic Patients–Preliminary Report. Neuro Endocrinol Lett (2010) 31:256–60.

PubMed Abstract | Google Scholar

62. Calan M, Demirpence M. Increased Circulating Levels of Irisin Are Associated With Cardiovascular Risk Factors in Subjects With Acromegaly. Hormones (Athens Greece) (2019) 18:435–42. doi: 10.1007/s42000-019-00151-3

CrossRef Full Text | Google Scholar

63. Cuevas-Ramos D, Carmichael JD, Cooper O, Bonert VS, Gertych A, Mamelak AN, et al. A Structural and Functional Acromegaly Classification. J Clin Endocrinol Metab (2015) 100:122–31. doi: 10.1210/jc.2014-2468

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Saccà L, Napoli R, Cittadini A. Growth Hormone, Acromegaly, and Heart Failure: An Intricate Triangulation. Clin Endocrinol (2003) 59:660–71. doi: 10.1046/j.1365-2265.2003.01780.x

CrossRef Full Text | Google Scholar

65. Valdés JA, Flores S, Fuentes EN, Osorio-Fuentealba C, Jaimovich E, Molina A. IGF-1 Induces IP3 -Dependent Calcium Signal Involved in the Regulation of Myostatin Gene Expression Mediated by NFAT During Myoblast Differentiation. J Cell Physiol (2013) 228:1452–63. doi: 10.1002/jcp.24298

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Marcell TJ, Harman SM, Urban RJ, Metz DD, Rodgers BD, Blackman MR. Comparison of GH, IGF-I, and Testosterone With mRNA of Receptors and Myostatin in Skeletal Muscle in Older Men. Am J Physiol Endocrinol Metab (2001) 281:E1159–1164. doi: 10.1152/ajpendo.2001.281.6.E1159

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Oldham JM, Osepchook CC, Jeanplong F, Falconer SJ, Matthews KG, Conaglen JV, et al. The Decrease in Mature Myostatin Protein in Male Skeletal Muscle Is Developmentally Regulated by Growth Hormone. J Physiol (2009) 587:669–77. doi: 10.1113/jphysiol.2008.161521

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Liu W, Thomas SG, Asa SL, Gonzalez-Cadavid N, Bhasin S, Ezzat S. Myostatin Is a Skeletal Muscle Target of Growth Hormone Anabolic Action. J Clin Endocrinol Metab (2003) 88:5490–6. doi: 10.1210/jc.2003-030497

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Paul RG, McMahon CD, Elston MS, Conaglen JV. GH Replacement Titrated to Serum IGF-1 Does Not Reduce Concentrations of Myostatin in Blood or Skeletal Muscle. Growth Hormone IGF Res: Off J Growth Hormone Res Soc Int IGF Res Soc (2019) 44:11–6. doi: 10.1016/j.ghir.2018.12.001

CrossRef Full Text | Google Scholar

70. Chikani V, Cuneo RC, Hickman I, Ho KKY. Growth Hormone (GH) Enhances Anaerobic Capacity: Impact on Physical Function and Quality of Life in Adults With GH Deficiency. Clin Endocrinol (2016) 85:660–8. doi: 10.1111/cen.13147

CrossRef Full Text | Google Scholar

71. Velloso CP. Regulation of Muscle Mass by Growth Hormone and IGF-I. Br J Pharmacol (2008) 154:557–68. doi: 10.1038/bjp.2008.153

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Kim H, Barton E, Muja N, Yakar S, Pennisi P, Leroith D. Intact Insulin and Insulin-Like Growth Factor-I Receptor Signaling Is Required for Growth Hormone Effects on Skeletal Muscle Growth and Function In Vivo. Endocrinology (2005) 146:1772–9. doi: 10.1210/en.2004-0906

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Chikani V, Ho KKY. Action of GH on Skeletal Muscle Function: Molecular and Metabolic Mechanisms. J Mol Endocrinol (2014) 52:R107–123. doi: 10.1530/JME-13-0208

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Ryan AS, Li G, Blumenthal JB, Ortmeyer HK. Aerobic Exercise+Weight Loss Decreases Skeletal Muscle Myostatin Expression and Improves Insulin Sensitivity in Older Adults. Obes (Silver Spring Md.) (2013) 21:1350–6. doi: 10.1002/oby.20216

CrossRef Full Text | Google Scholar

75. Milan G, Dalla Nora E, Pilon C, Pagano C, Granzotto M, Manco M, et al. Changes in Muscle Myostatin Expression in Obese Subjects After Weight Loss. J Clin Endocrinol Metab (2004) 89:2724–7. doi: 10.1210/jc.2003-032047

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Hjorth M, Pourteymour S, Görgens SW, Langleite TM, Lee S, Holen T, et al. Myostatin in Relation to Physical Activity and Dysglycaemia and Its Effect on Energy Metabolism in Human Skeletal Muscle Cells. Acta Physiologica (Oxford England) (2016) 217:45–60. doi: 10.1111/apha.12631

CrossRef Full Text | Google Scholar

77. Palsgaard J, Brøns C, Friedrichsen M, Dominguez H, Jensen M, Storgaard H, et al. Gene Expression in Skeletal Muscle Biopsies From People With Type 2 Diabetes and Relatives: Differential Regulation of Insulin Signaling Pathways. PloS One (2009) 4:e6575. doi: 10.1371/journal.pone.0006575

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Brandt C, Nielsen AR, Fischer CP, Hansen J, Pedersen BK, Plomgaard P. Plasma and Muscle Myostatin in Relation to Type 2 Diabetes. PloS One (2012) 7:e37236. doi: 10.1371/journal.pone.0037236

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Delanaye P, Bataille S, Quinonez K, Buckinx F, Warling X, Krzesinski JM, et al. Myostatin and Insulin-Like Growth Factor 1 Are Biomarkers of Muscle Strength, Muscle Mass, and Mortality in Patients on Hemodialysis. J Renal Nutrition: Off J Council Renal Nutr Natl Kidney Foundation (2019) 29:511–20. doi: 10.1053/j.jrn.2018.11.010

CrossRef Full Text | Google Scholar

80. Albrecht E, Norheim F, Thiede B, Holen T, Ohashi T, Schering L, et al. Irisin – a Myth Rather Than an Exercise-Inducible Myokine. Sci Rep (2015) 5:8889. doi: 10.1038/srep08889

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Jedrychowski MP, Wrann CD, Paulo JA, Gerber KK, Szpyt J, Robinson MM, et al. Detection and Quantitation of Circulating Human Irisin by Tandem Mass Spectrometry. Cell Metab (2015) 22:734–40. doi: 10.1016/j.cmet.2015.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Polyzos SA, Mantzoros CS. An Update on the Validity of Irisin Assays and the Link Between Irisin and Hepatic Metabolism. Metabolism: Clin Exp (2015) 64:937–42. doi: 10.1016/j.metabol.2015.06.005

CrossRef Full Text | Google Scholar

Keywords: irisin, myostatin, acromegaly, GH, IGF-1, muscles, myokines

Citation: Mizera Ł, Halupczok-Żyła J, Kolačkov K, Zembska A, Grzegrzółka J, Jędrzejuk D, Bolanowski M and Daroszewski J (2021) Myokines in Acromegaly: An Altered Irisin Profile. Front. Endocrinol. 12:728734. doi: 10.3389/fendo.2021.728734

Received: 22 June 2021; Accepted: 13 October 2021;
Published: 02 November 2021.

Edited by:

Corin Badiu, Carol Davila University of Medicine and Pharmacy, Romania

Reviewed by:

Luiz Augusto Casulari, University of Brasilia, Brazil
Monica Livia Gheorghiu, Carol Davila University of Medicine and Pharmacy, Romania

Copyright © 2021 Mizera, Halupczok-Żyła, Kolačkov, Zembska, Grzegrzółka, Jędrzejuk, Bolanowski and Daroszewski. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jowita Halupczok-Żyła, jowita.halupczok-zyla@umed.wroc.pl

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