Literature DB >> 30657767

Circulating irisin levels in heart failure with preserved or reduced ejection fraction: A pilot study.

Andrea Silvestrini1, Carmine Bruno2, Edoardo Vergani2, Angela Venuti3, Angela Maria Rita Favuzzi3, Francesco Guidi4, Nicola Nicolotti5, Elisabetta Meucci1, Alvaro Mordente1, Antonio Mancini2.   

Abstract

Irisin, a recently discovered myokine, has been considered a prognostic factor in several cardiovascular diseases. Nevertheless, no data are available on the role of irisin in patients with heart failure (HF), both with preserved (HFpEF) or reduced (HFrEF) ejection fraction. We have therefore evaluated the circulating irisin levels in HFpEF and HFrEF patients, correlating them with metabolic parameters and total antioxidant capacity (TAC), as index of oxidative stress. Irisin was significantly higher in HFpEF than in HFrEF patients (7.72 ± 0.76 vs 2.77 ± 0.77 ng/ml, respectively). An inverse correlation between irisin and TAC was found in HFpEF, but not in HFrEF. Conversely, no correlation was present with HOMA index. These data support the hypothesis that a different pathophysiological mechanism is involved in the two HF subtypes, and oxidative stress modulates irisin secretion.

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Year:  2019        PMID: 30657767      PMCID: PMC6338355          DOI: 10.1371/journal.pone.0210320

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Heart and skeletal muscle have emerged as endocrine organs due to the secretion of peptide hormones known as myokines [1]. Irisin is a novel myokine potentially capable of mimicking some of the most important metabolic and health-promoting benefits of exercise [2, 3], such as enhancing energy expenditure and reducing body weight, improving glucose homeostasis and insulin sensitivity, preventing or mitigating oxidative stress and systemic inflammatory state. Irisin is a peptide hormone produced by a proteolytic cleavage of fibronectin type III domain-containing 5 (FNDC5), a transmembrane protein whose expression is induced by peroxisome proliferator-activated receptor (PPAR)-γ co-activator 1α (PGC-1α) [2] in response to exercise [2, 3] and/or oxidative stress [4]. In human, however, FNDC5 is highly expressed in cardiac muscle that produces more irisin than skeletal muscle [5]. Although human studies have suggested a tight association between circulating irisin levels and several cardiovascular diseases, nevertheless the physiological role of irisin in cardiomyocytes still remains unknown and controversial [1]. Heart failure (HF), which affects over 23 million people worldwide [6], is currently defined as “a complex clinical syndrome which results from any structural or functional impairment of ventricular filling or ejection of blood” [7]. The American College of Cardiology Foundation/American Heart Association guidelines have classified HF into two categories: (a) HF with reduced (≤ 40%) ejection fractions (HFrEF) also reported as systolic HF and (b) HF with preserved (≥ 50%) ejection fractions (HFpEF) also referred as diastolic HF [7]. HFrEF and HFpEF are two separate entities that differ considerably in aetiology, pathophysiology, clinical characteristics, and therapeutic strategies [8, 9, 10]. Therefore, in view of the putative role of irisin in prevention, control and therapy of numerous metabolic disorders [11,12] implied in HF, we aimed to evaluate the circulating irisin levels in HFrEF and HFpEF patients and correlate them with several metabolic and oxidative parameters.

Materials and methods

Subjects involved in this study were admitted to the University Hospital “Fondazione Policlinico Universitario A. Gemelli IRCCS” Dept. of Internal Medicine and the study was conducted in accordance with the declaration of Helsinki, as revised in 2013. The study protocol was approved by our centre’s ethics committee (School of Medicine, Catholic University) and written informed consent was obtained from all patients. Two senior cardiologists separately confirmed the diagnosis of HF based on clinical history, physical examination, laboratory and echocardiographic parameters, according to the European Society of Cardiology Guidelines for the Management of Heart Failure [13]. To meet HFrEF inclusion criteria, patients had to present clinical symptoms and signs of HF with an EF < 40%. Conversely, HFpEF patients, together with clinical symptoms and signs of HF, had to present an EF at least of 50% with an NT-proBNP > 123 pg/ml and at least one additional criterion that included: a) relevant structural heart disease (left ventricle hypertrophy and/or left atrial enlargement); b) diastolic dysfunction. Participants were excluded if they had uncontrolled hypertension (blood pressure > 140 mmHg/90 mmHg), alcoholism, drug abuse, abnormal hepatic function (transaminases > twice the upper limit of normal), end stage renal disease, malabsorption syndromes, gastro-esophageal reflux disease. Fifty-two subjects were assessed for eligibility; 5 refused to participate and 7 not meeting inclusion criteria. Thus, we included a total of forty patients in our study. Eighteen patients with HFrEF (15 males), aged 42–88 years (mean 69.2) and twenty-two patients with HFpEF (16 males), aged 64–88 years (mean 75.8), were recruited. All of them were Caucasian; they were treated by conventional therapy according to ESC guidelines (betablockers n = 14 HFpEF and n = 16 HFrEF; ACE-inhibitors n = 8 HFpEF and n = 7 HFrEF; angiotensin receptor blockade n = 6 HFpEF and n = 7 HFrEF; diuretics n = 9 HFpEF and n = 17 HFrEF; Ivabradin n = 1 HFpEF and n = 1 HFrEF). Comorbidities, as expected, were more prevalent in HFpEF patients (41% T2DM, 72% hypertension, 36% atrial fibrillation, 68% peripheral atherosclerosis, 63% non-end stage chronic kidney disease, 36% COPD) than in HFrEF patients (33% T2DM, 39% hypertension, 44% atrial fibrillation, 6% peripheral atherosclerosis, 33% non-end stage chronic kidney disease, 16% COPD). The two groups were not significantly different for age, sex, body mass, NYHA classification (all belonged to class II or III) and levels of physical activity (which was confined to sedentary activity). Between 08.30 and 09.00 a.m., after an overnight fasting, blood samples were collected in a 6 ml vacutainer tube containing lithium heparin and immediately centrifuged (3000× g for 15 min at 4°C). The obtained plasma were collected and stored at -80°C until assayed. Fasting glucose and insulin levels were quantified with commercial kits using ADVIA 2400 automatic analyser (Siemens, Italy). Serum concentrations of N-terminal pro-B-type natriuretic peptide (NT-proBNP) were measured by an electrochemiluminescence immunoassays on a Roche modular E170 analyser (Roche diagnostic; Indianapolis, USA). Total antioxidant capacity (TAC) was evaluated with the method of Rice-Evans [14], modified in our laboratory as previously reported [15]. The method is based on the interaction between the system H2O2-metmyoglobin with the chromogen ABTS, whose radical form is spectrophotometrically detectable. The latency time (LAG phase in sec) before the appearance of radical species is proportional to the antioxidant concentration in the sample. Coefficient of variation (CV) for intra-assay CV (%) and inter-assay CV (%) variations were 0.54–1.59 and 3.6–6.1, respectively. Circulating irisin levels have been quantified on plasma samples by a specific competitive enzyme immunoassay kit (Cat. No. EK-067-029 from Phoenix Pharmaceuticals, Karlsruhe, Germany) which has been previously validated by mass spectrometry analysis [16]. The intra- and inter-assay variations were less than 10% and 15%, respectively and the detection limit was 0.1 ng/ml. Optical density at 450 nm was measured, with a reading time of 1 sec, using a microtiter plate reader (Victor3; Perkin Elmer, USA) with precision at 450 nm < 0.5% and temperature control set at 25°C. Analyses were performed in duplicate. The homeostatic model assessment (HOMA-IR) was used as an index of insulin resistance and was obtained from the fasting blood insulin (immunoreactive insulin: IRI, μUI/mL) concentration and the fasting blood sugar (FBS, mg/dl) level early in the morning, based on the equation: HOMA-IR = (IRI×FBS)/405. Two-dimensional echocardiographic evaluation was performed (Echocardiography Philips, Affiniti 70C), measuring parameters described in Table 2.
Table 2

Echocardiographic parameters of HFrEF and HFpEF patients.

Data are presented as mean ± standard error of the mean (SEM).

HFrEFHFpEF
1LVEDD (mm)64.87±6.2849.17±1.32*
LVESD (mm)41.37±1.2831.94±1.31*
LVEDV (ml)140.9±9.2898.78±5.14*
LVESV (ml)84.1±10.443.85±2.35*
IVS (mm)12.83±2.4212.84±0.36
PW (mm)11.5±0.8610.3±0.41
E (mm/s)605.4±169.3610.62±86.35
A (mm/s)596.25±181.8713.69±83.3
Dt (ms)212±40.5219.25±18.95
EF %36.7±2.756.7±1.3*
E/E’10.3±1.512.1±0.84
E/A0.79±0.121.15±0.36
LAV (ml)86±9.1682.68±4.95
LAVI (ml/m2)n/a44.56±2.55
TPV (m/s)n/a2.74±0.08
TAPSE (mm)19.73±1.2522.4±0.84
SPAP (mmHg)36.54±2.2435.79±2.64

Left ventricular end-diastolic diameter (LVEDD), left ventricular end-systolic diameter (LVESD), left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), septal thickness (IVS), posterior wall thickness (PW), peak E-wave velocity (E), peak A-wave velocity (A), deceleration time (Dt), ejection fraction (EF %), pulsed-wave TDI E’ velocity (E’), E/E’ ratio, E/A ratio, left atrial volume (LAV), indexed left atrial volume (LAVI), tricuspidal peak velocity (TPV), tricuspid annular plane systolic excursion (TAPSE), and systolic pulmonary artery pressure (SPAP).

*p < 0.05

The Mann-Whitney U test was employed to evaluate differences between the two groups of subjects. A p value ≤ 0.05 was considered statistically significant. Linear regression and non-linear (semilogarithmic) analysis was employed to correlate irisin with biochemical and echocardiographic parameters. A multiple logistic regression model was developed to quantify the association between HFpEF (HFrEF = 0) and irisin levels. The only covariates included in the model were irisin levels and NT-proBNP (due to numbers of observations in the final model). The relationship between HFpEF and irisin levels has been reported as Odds Ratios (ORs) and 95% confidence intervals (CIs). The goodness of fit of the final model was assessed using the Hosmer-Lemeshow test [17]. Descriptive, univariate and multivariate analyses were performed with STATA version 11.0.

Results and discussion

Baseline characteristics (number of patients, gender, NYHA class, age, BMI, NT-proBNP, HOMA-IR and TAC) of the patients with HFrEF and HFpEF are summarized in Table 1. Among HFpEF, 9 out of 22 patients were affected by diabetes and were not included in the calculation of HOMA-IR index. Similarly, 5 out of 18 HFrEF patients were excluded for HOMA-IR calculation. There was no significant difference between the two groups except for NT-proBNP, that was significantly higher in HFrEF than in HFpEF patients thus confirming what already reported in numerous reports (see [18] and references therein). Echocardiographic parameters of HF patients were reported in Table 2. As shown, the ejection fraction is, by definition, significantly different between the two groups. Other significant differences were found in LVEDD, LVESD, LVEDV, LVESV all higher in HFrEF, as a distinctive feature of this disease.
Table 1

Baseline characteristics of patients with heart failure with reduced (HFrEF) and preserved (HFpEF) ejection fraction.

Data are presented as mean ± standard error of the mean (SEM).

HFrEFHFpEF
Number of patients18 (15 males)22 (14 males)
Age69.2 ± 2.875.7 ± 1.8
NYHA classII (n = 9)III (n = 9)II (n = 16)III (n = 6)
BMI (Kg/m2)26.54 ± 0.9528.9 ± 1.30
NT-proBNP (pg/ml)6000.07 ± 2297.222548.40 ± 551.11*
HOMA-IR2.30 ± 0.382.73 ± 0.54
TAC (sec)68.7 ± 4.775.8 ± 7.5

*p < 0.05

Baseline characteristics of patients with heart failure with reduced (HFrEF) and preserved (HFpEF) ejection fraction.

Data are presented as mean ± standard error of the mean (SEM). *p < 0.05

Echocardiographic parameters of HFrEF and HFpEF patients.

Data are presented as mean ± standard error of the mean (SEM). Left ventricular end-diastolic diameter (LVEDD), left ventricular end-systolic diameter (LVESD), left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), septal thickness (IVS), posterior wall thickness (PW), peak E-wave velocity (E), peak A-wave velocity (A), deceleration time (Dt), ejection fraction (EF %), pulsed-wave TDI E’ velocity (E’), E/E’ ratio, E/A ratio, left atrial volume (LAV), indexed left atrial volume (LAVI), tricuspidal peak velocity (TPV), tricuspid annular plane systolic excursion (TAPSE), and systolic pulmonary artery pressure (SPAP). *p < 0.05 As shown in Fig 1 (left panel), circulating irisin levels in HFpEF were significantly higher (7.72 ± 0.76 ng/ml) than in HFrEF patients (2.77 ± 0.77 ng/ml). Moreover, a logarithmic correlation between TAC and irisin parameters was found in HFpEF patients (R2 = 0,234 and p = 0,024) (Fig 1, right panel). Conversely, in HFrEF patients, irisin levels and TAC did not significantly correlate both in linear and in logarithmic regression analysis.
Fig 1

Irisin levels in patients with heart failure with reduced (HFrEF) and preserved (HFpEF) ejection fraction.

Left panel shows a Box-Plot comparing irisin levels in HFpEF with that in HFrEF (* p < 0.05). Right panel shows the correlation between irisin levels and TAC (in sec) in HFpEF.

Irisin levels in patients with heart failure with reduced (HFrEF) and preserved (HFpEF) ejection fraction.

Left panel shows a Box-Plot comparing irisin levels in HFpEF with that in HFrEF (* p < 0.05). Right panel shows the correlation between irisin levels and TAC (in sec) in HFpEF. Finally, no significant correlation was found between irisin and BMI or HOMA-IR for both HFrEF and HFpEF groups. Moreover, in both groups of patients, there was no significant correlation between irisin and each of the echocardiographic parameters reported in Table 2. At the logistic regression, only irisin levels show a significant association with HFpEF (OR = 1.76; 95% CI: 1.18–2.61; p < 0.01). The Hosmer-Lemeshow test supports the goodness of fit of the final model (p = 0.83). To the best of our knowledge, this is the first study comparing irisin levels between HFpEF and HFrEF patients that shows higher irisin levels in HFpEF, despite a higher average age of this group. The increased levels of irisin observed in HFpEF patients might be due, rather than a passive release, to an enhanced secretion aimed to compensate for the development of a putative “irisin resistance” [12] and to maximize the beneficial effects of irisin on metabolic comorbidities as well as on endothelium dysfunction. Irisin, indeed, in addition to regulating energy metabolism, improves endothelial function [19, 20] by its anti-inflammatory and anti-oxidizing properties. Moreover, it has been suggested that blood levels of irisin may be regulated by oxidative stress that increases irisin secretion whereas antioxidants decrease it [4]. Our findings, confirming this suggestion, show an inverse correlation between irisin and TAC in HFpEF patients. Nevertheless, there are some potential limitations of the present study as expected by a pilot study. Firstly, the number of subjects in both groups is slightly small, so its statistical power is limited, and our findings will need to be confirmed in a larger population. Secondly, this pilot study and the power analysis cannot draw a cause-effect conclusion about irisin/TAC correlation in heart diseases patients. Further studies are needed to explain the physiological role of irisin in myocardium and its correlation to HF. Finally, we cannot discriminate the source of circulating irisin (skeletal muscle vs heart myocytes) in such patients that remain a pilot study. In conclusion, this pilot study represent the first observation about irisin in different models of HF. Moreover, despite these limitations, the present preliminary data are in favour of the concept that a different pathogenetic model is involved in the two HF subclasses and suggest that irisin levels in HFpEF could be an index of multi-systemic disease, according to the recent paradigm for HF [10], rather than a primitive heart disease.
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1.  2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on practice guidelines.

Authors:  Clyde W Yancy; Mariell Jessup; Biykem Bozkurt; Javed Butler; Donald E Casey; Mark H Drazner; Gregg C Fonarow; Stephen A Geraci; Tamara Horwich; James L Januzzi; Maryl R Johnson; Edward K Kasper; Wayne C Levy; Frederick A Masoudi; Patrick E McBride; John J V McMurray; Judith E Mitchell; Pamela N Peterson; Barbara Riegel; Flora Sam; Lynne W Stevenson; W H Wilson Tang; Emily J Tsai; Bruce L Wilkoff
Journal:  Circulation       Date:  2013-06-05       Impact factor: 29.690

Review 2.  Physiology and role of irisin in glucose homeostasis.

Authors:  Nikolaos Perakakis; Georgios A Triantafyllou; José Manuel Fernández-Real; Joo Young Huh; Kyung Hee Park; Jochen Seufert; Christos S Mantzoros
Journal:  Nat Rev Endocrinol       Date:  2017-02-17       Impact factor: 43.330

3.  Total antioxidant status in plasma and body fluids.

Authors:  C Rice-Evans; N J Miller
Journal:  Methods Enzymol       Date:  1994       Impact factor: 1.600

4.  Irisin improves endothelial function in obese mice through the AMPK-eNOS pathway.

Authors:  Fang Han; Shuxian Zhang; Ningning Hou; Di Wang; Xiaodong Sun
Journal:  Am J Physiol Heart Circ Physiol       Date:  2015-09-14       Impact factor: 4.733

5.  Ventricular-vascular interaction in heart failure.

Authors:  Barry A Borlaug; David A Kass
Journal:  Cardiol Clin       Date:  2011-08       Impact factor: 2.213

6.  FNDC5 and irisin in humans: I. Predictors of circulating concentrations in serum and plasma and II. mRNA expression and circulating concentrations in response to weight loss and exercise.

Authors:  Joo Young Huh; Grigorios Panagiotou; Vassilis Mougios; Mary Brinkoetter; Maria T Vamvini; Benjamin E Schneider; Christos S Mantzoros
Journal:  Metabolism       Date:  2012-09-25       Impact factor: 8.694

7.  Cardiac, skeletal muscle and serum irisin responses to with or without water exercise in young and old male rats: cardiac muscle produces more irisin than skeletal muscle.

Authors:  Suna Aydin; Tuncay Kuloglu; Suleyman Aydin; Mehmet Nesimi Eren; Ahmet Celik; Musa Yilmaz; Mehmet Kalayci; İbrahim Sahin; Orhan Gungor; Ali Gurel; Murat Ogeturk; Ozlem Dabak
Journal:  Peptides       Date:  2013-12-15       Impact factor: 3.750

8.  Circulating irisin levels and coronary heart disease: association with future acute coronary syndrome and major adverse cardiovascular events.

Authors:  K N Aronis; M Moreno; S A Polyzos; J M Moreno-Navarrete; W Ricart; E Delgado; J de la Hera; A Sahin-Efe; J P Chamberland; R Berman; A Spiro; P Vokonas; J M Fernández-Real; C S Mantzoros
Journal:  Int J Obes (Lond)       Date:  2013-06-11       Impact factor: 5.095

9.  2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC)Developed with the special contribution of the Heart Failure Association (HFA) of the ESC.

Authors:  Piotr Ponikowski; Adriaan A Voors; Stefan D Anker; Héctor Bueno; John G F Cleland; Andrew J S Coats; Volkmar Falk; José Ramón González-Juanatey; Veli-Pekka Harjola; Ewa A Jankowska; Mariell Jessup; Cecilia Linde; Petros Nihoyannopoulos; John T Parissis; Burkert Pieske; Jillian P Riley; Giuseppe M C Rosano; Luis M Ruilope; Frank Ruschitzka; Frans H Rutten; Peter van der Meer
Journal:  Eur Heart J       Date:  2016-05-20       Impact factor: 29.983

10.  Effects of lipid-lowering drugs on irisin in human subjects in vivo and in human skeletal muscle cells ex vivo.

Authors:  Ioanna Gouni-Berthold; Heiner K Berthold; Joo Young Huh; Reena Berman; Nadine Spenrath; Wilhelm Krone; Christos S Mantzoros
Journal:  PLoS One       Date:  2013-09-02       Impact factor: 3.240

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Authors:  Jun Ma; Ken Chen
Journal:  Mol Biol Rep       Date:  2021-01-03       Impact factor: 2.316

Review 2.  Irisin is an Effector Molecule in Exercise Rehabilitation Following Myocardial Infarction (Review).

Authors:  Shuguang Qin; Zhenjun Tian; Maxime Boidin; Benjamin J R Buckley; Dick H J Thijssen; Gregory Y H Lip
Journal:  Front Physiol       Date:  2022-06-29       Impact factor: 4.755

3.  Fibronectin type III domain-containing 5 in cardiovascular and metabolic diseases: a promising biomarker and therapeutic target.

Authors:  Xin Zhang; Can Hu; Hai-Ming Wu; Zhen-Guo Ma; Qi-Zhu Tang
Journal:  Acta Pharmacol Sin       Date:  2020-11-19       Impact factor: 7.169

Review 4.  Irisin: linking metabolism with heart failure.

Authors:  Jiamin Li; Susu Xie; Lei Guo; Jun Jiang; Han Chen
Journal:  Am J Transl Res       Date:  2020-10-15       Impact factor: 4.060

5.  Metabolic inflammation in heart failure with preserved ejection fraction.

Authors:  Gabriele G Schiattarella; Daniele Rodolico; Joseph A Hill
Journal:  Cardiovasc Res       Date:  2021-01-21       Impact factor: 10.787

6.  Anabolic Hormones Deficiencies in Heart Failure With Preserved Ejection Fraction: Prevalence and Impact on Antioxidants Levels and Myocardial Dysfunction.

Authors:  Carmine Bruno; Andrea Silvestrini; Rodolfo Calarco; Angela M R Favuzzi; Edoardo Vergani; Maria Anna Nicolazzi; Claudia d'Abate; Elisabetta Meucci; Alvaro Mordente; Raffaele Landolfi; Antonio Mancini
Journal:  Front Endocrinol (Lausanne)       Date:  2020-05-12       Impact factor: 5.555

7.  Exercise-Induced Circulating Irisin Level Is Correlated with Improved Cardiac Function in Rats.

Authors:  Dae Yun Seo; Jun Hyun Bae; Tae Nyun Kim; Hyo-Bum Kwak; Pham Trong Kha; Jin Han
Journal:  Int J Environ Res Public Health       Date:  2020-05-29       Impact factor: 3.390

8.  Electrical and Hormonal Biomarkers in Cachectic Elderly Women with Chronic Heart Failure.

Authors:  Grzegorz Sobieszek; Tomasz Powrózek; Marcin Mazurek; Anna Skwarek-Dziekanowska; Teresa Małecka-Massalska
Journal:  J Clin Med       Date:  2020-04-04       Impact factor: 4.241

Review 9.  Metabolic remodeling induced by mitokines in heart failure.

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Journal:  Aging (Albany NY)       Date:  2019-09-09       Impact factor: 5.682

Review 10.  Microvascular Dysfunction in Heart Failure With Preserved Ejection Fraction.

Authors:  Domenico D'Amario; Stefano Migliaro; Josip A Borovac; Attilio Restivo; Rocco Vergallo; Mattia Galli; Antonio Maria Leone; Rocco A Montone; Giampaolo Niccoli; Nadia Aspromonte; Filippo Crea
Journal:  Front Physiol       Date:  2019-11-05       Impact factor: 4.566

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