Back to Journals » Risk Management and Healthcare Policy » Volume 16

A Prospective Case-Control Study Examining the Relationship Between Frailty and Serum Myostatin in Older Persons with Chronic Heart Failure

Authors Wang Q, Wang H , Tian H, Niu S, Xu R

Received 15 March 2023

Accepted for publication 15 June 2023

Published 20 July 2023 Volume 2023:16 Pages 1343—1349

DOI https://doi.org/10.2147/RMHP.S412725

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Jongwha Chang



Qing Wang,1 Hongyan Wang,2 Haitao Tian,2 Shaoli Niu,2 Ruyi Xu1

1Department of the Sixth Health Care, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100048, People’s Republic of China; 2Department of Geriatrics, The Sixth Medical Center, Chinese PLA General Hospital, Beijing, 100048, People’s Republic of China

Correspondence: Hongyan Wang, Department of Geriatrics, The Sixth Medical Center, Chinese PLA General Hospital, No. 6 Fucheng Road, Haidian District, Beijing, 100048, People’s Republic of China, Tel +86-10-66957726, Email [email protected]

Background: Frailty affects the prognosis and management of patients with heart failure, and is often related with sarcopenia. Also, the serum myostatin (MSTN) involved in the development of sarcopenia and frailty. This study aimed to determine the connection between MSTN level and frailty in older adults with chronic heart failure (CHF).
Methods: This prospective case-control study enrolled older adult patients with CHF between May 2019 and May 2021, and analyzed their clinical data.
Results: In this study 75 older adults with CHF were included, 29 of whom were frail. The B-type natriuretic peptide (BNP) levels were significantly higher in frail older adults with CHF than in older adults with CHF who were not frail (316.82 ± 235.64 pg/mL vs 198.61 ± 112.58 pg/mL; P = 0.016). The MSTN levels were significantly higher in frail participants than in participants who were not frail (2.93 ± 1.35 ng/mL vs 2.24 ± 0.84 ng/mL; P = 0.018). Based on multivariable analysis the BNP (odds ratio [OR] = 1.004, 95% confidence interval [CI] = 1 0.001– 1.008; P = 0.018) and MSTN (OR = 1.772, 95% CI = 1.079– 2.912; P =0 0.024) levels were independently associated with frailty in older adults with CHF.
Conclusion: MSTN is a promising biomarker of frailty in elderly patients with CHF.

Keywords: myostatin, B-type natriuretic peptide, frailty, chronic heart failure

Background

Frailty is defined as a clinical state of growing vulnerability and functional impairment caused by a cumulative decline in several bodily systems, which raises the likelihood of unfavorable health outcomes, such as falls, hospitalization, and death.1,2 Although old age increases the probability of acquiring frailty,1,2 frailty does not directly relate to chronologic age or impairment. A widely diverse population, older persons have varying levels of health and functional life spans. The scientific interest in fragility as a potential explanation for the disparity in health among older persons is growing.3 Frailty is thought to affect 15% of community-dwelling persons > 65 years of age in the USA.4 Frailty and/or functional decline are highly related with advanced age, poverty and/or isolation, polypharmacy, malnutrition and/or weight loss, cognitive impairment, and medical and/or psychiatric co-morbidities. Frailty is typically chronic and progressive, but interventions may improve outcomes or potentially reverse the frailty status.1,2 Frailty is becoming a silent killer that primarily affects elderly adults.1,2

Frailty is linked to the negative effects of cardiovascular diseases in older adults.5 Heart failure (HF) is the final stage of many cardiac disorders. HF is significantly more common as individuals age, reaching up to 10% in those < 70 years of age.6 All HF patients, regardless of their chronologic age, should be assessed for the existence of frailty or the risk for developing frailty7 because frailty affects the prognosis and management of HF patients.

The prevalence of frailty in patients with Chronic heart failure (CHF) is estimated at 44.5%-46.0%.8,9 On one hand, CHF in older adult patients is often accompanied by reduced skeletal muscle mass and strength, making sarcopenia and frailty in these patients.10,11 A number of intricate pathogenic processes, such as abnormalities and dysregulation in the neuro-hormonal, muscular, immunologic, metabolic, and endocrine systems, as well as an up-regulation of inflammatory cytokines, contribute to worsening HF in frail patients,12–16 which generates an imbalance between anabolic and catabolic phases and may exacerbate the loss of strength and muscle mass while favoring the development of cachexia (characterized as a widespread wasting process affecting all bodily systems) and reduced lean muscle mass, also known as sarcopenia.17,18 On the other hand, frailty is also accompanied by loss of muscle mass and strength (sarcopenia). Sarcopenia often symptomizes as lower energy and exercise tolerance and diminished physiologic reserve, all of which contribute to poor health outcomes and a reduced ability to recover from acute stresses, disease, or treatments (frailty).1,2

As stated above, bidirectional relationship consists between sarcopenia and frailty. Myostatin (MSTN) is a negative regulator of skeletal muscle mass.19 MSTN is involved in the development of sarcopenia and frailty.20,21 Therefore, inhibition of MSTN might serve as a treatment for sarcopenia and muscle mass loss.20,21 The exact role of MSTN in developing frailty in the context of CHF, however, is poorly understood.

Therefore, this study aimed to determine the association between the serum MSTN level and frailty in older adult patients with CHF.

Methods

Study Design and Participants

Participants in this prospective case-control study were elderly adults with CHF who received care in the Department of Cardiology of our medical center between May 2019 and May 2021. The study was conducted according to the current ethical practice standards and was approved by the Ethics Committee of the Sixth Medical Center, Chinese PLA General Hospital (HZKY-PJ-2020-9). All study participants signed informed consent forms.

The inclusion criteria were as follows: 1) ≥65 years of age; and 2) diagnosis of class II–IV CHF according to the New York Heart Association (NYHA) criteria.22 The exclusion criteria were as follows: 1) conditions that could affect the frailty evaluation, such as dementia, cognitive dysfunction, disturbance of consciousness, or mental illness; 2) acute coronary syndrome, acute inflammation, acute trauma, and/or malignant tumors; 3) muscle, thyroid, or other metabolic diseases, such as polymyositis or hyperthyroidism; or 4) severe liver (alanine aminotransferase [ALT] >3 times the upper limit of normal) or kidney disease (estimated glomerular filtration rate [eGFR] <60 mL/min/1.73 m2).

Data Collection and Definition

Demographic and clinical data were collected, including gender, age, body mass index (BMI), total cholesterol (TC), low-density lipoprotein-cholesterol (LDL-C), B-type natriuretic peptide (BNP), left ventricular ejection fraction (LVEF), and MSTN. Fasting venous blood samples (10 mL) were obtained in the morning and centrifuged for 15 min at 4°C at 3000 rpm. The supernatants were frozen at −80°C, and the serum MSTN levels were determined using the human MSTN enzyme-linked immunosorbent assay (ELISA) kit provided by Wuhan Hualianke Biotechnology Co., Ltd. (Wuhan, China). Automatic biochemical analyzer (HITACHI7600-020, Hitachi, Tokyo, Japan) was used to determine routine biochemical parameters, including TC, LDL-C, etc. BNP was determined by ELISA. LVEF was determined by GE E9 color Doppler ultrasonography (General Electric Co. Ltd, Boston, USA).

The patients with CHF were grouped according to the presence of frailty. Frailty was assessed using Fried’s Frailty Scale-five criteria with a score range of 0–5,23,24 as follows: 1) weight decrease > 5% or 4.5 kg in the last year; 2) 4.57-m walking time (male patients, height >173 cm, ≥6 s and height ≤173 cm, ≥7 s; female patients, height >159 cm, ≥6 s and height ≤159 cm, ≥7 s); 3) male grasp strength, ≤29–32 kg; female grip strength, ≤17–21 kg; 4) physical activity, 383 kcal/week for male patients; 270 kcal/week for female patients; and 5) fatigue, a score of 2–3 on the Center for Epidemiological Studies-Depression scale (CES-DS) questionnaire. Older adult patients with ≥ 3 symptoms were defined as frailty. A score ≥3 is consistent with frailty.

Statistical Analysis

SPSS 22.0 (IBM Corp., Armonk, NY, USA) was used for statistical analyses. A chi-square test was used to assess categorical data, which are expressed as n (%). A t-test was used to analyze continuous data with a normal distribution, which are expressed as the mean ± standard deviation. Univariable and multivariable logistic regression analyses were used to identify factors related to frailty in older adult CHF patients. Variables with a P < 0.05 based on univariable analyses were included in the multivariable analysis. The odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated. Statistical significance was defined as a two-sided P-value < 0.05.

Results

Seventy-five participants with CHF were enrolled in this study; 29 participants were frail and 46 patients were not frail. The BNP level was significantly higher in the participants with CHF and frailty than the participants with CHF without frailty (316.82 ± 235.64 pg/mL vs 198.61 ± 112.58 pg/mL; P = 0.016). The MSTN level was significantly higher in the participants with frailty compared to the participants without frailty (2.93 ± 1.35 ng/mL vs 2.24 ± 0.84 ng/mL; P = 0.018). There were no differences in gender, age, BMI, TC, LDL-C, and LVEF between the two groups (Table 1).

Table 1 Characteristics of the Patients

The multivariable analysis revealed that the BNP (odds ratio [OR] = 1.004, 95% confidence interval [CI] = 1.001–1.008; P = 0.018) and MSTN (OR = 1.772, 95% CI = 1.079–2.912; P = 0.024) levels were independently linked with frailty in participants with CHF (Table 2).

Table 2 Logistic Regression Analyses of Factors Associated with Heart Failure with Frailty

Discussion

MSTN is a well-known negative regulator of muscle development and a member of the transforming growth factor (TGF) family. Skeletal muscle (SM) contains MSTN, which has significant roles in several illnesses. As a result, MSTN is a key therapeutic target.25 ZINC85592908, according to Ali et al,26 may prevent downstream signaling by blocking the MSTN protein and increasing myogenesis in skeletal muscle tissues. ZINC85592908 also has anti-MSTN protein therapeutic potential. The results suggested that the MSTN level is positively associated with frailty in older adult patients with CHF.

Frailty is a complex clinical syndrome. Fried23 defined frailty as a gradual decline in reserve and function of various physiologic systems. Frailty rates in patients with HF range from 15%-74%, depending on the research population, definitions, and evaluation techniques used.10,11,27 Studies have shown that frailty and HF are related. People with frailty also have a noticeably increased risk of developing HF than patients without frailty.28 Reduced muscle mass, fatigue, and diminished energy are some of the clinical signs of frailty and HF.28 The common symptoms and signs associated with frailty can be attributed to sarcopenia, a group of age-related syndromes, including loss of physical function, muscle mass, or strength.1,2 Older adult patients with CHF often have sarcopenia, which can eventually evolve into cardiac cachexia. Cardiac cachexia occurs in 5–15% of patients with HF, especially those with advanced HF and a low LVEF.29,30 Cardiac cachexia is a major factor of frequent hospitalizations and mortality among patients with CHF. Studies have revealed that muscle mass is one of the independent prognostic indicators of survival in patients with CHF.31

The TGF-family transforming growth factor, MSTN, is a potent inhibitor of skeletal muscle growth.19 MSTN is a skeletal muscle actin that binds to the type 2B activin receptor on skeletal muscle and activates multiple pathways of transcription factors associated with muscle-burning genes.19 MSTN inhibits skeletal muscle mass and regulates skeletal muscle fibrosis and lipogenesis.19–21 MSTN also affects skeletal muscle energy metabolism and exercise capacity.32 Therefore, MSTN is a crucial negative regulator of skeletal muscle mass.33 Recently, satisfactory results have been achieved in the treatment of muscle loss caused by degenerative muscle diseases, hereditary myopathy, or other diseases using transgenic or blocker methods to inhibit the function of MSTN, which indicates that MSTN has emerged as a novel therapeutic target for skeletal muscle disorders.20,21

MSTN is mainly expressed and secreted by skeletal muscle and is also abundantly produced in adipose tissue and the heart. MSTN is strongly upregulated under different cardiac pathologic conditions, such as myocardial infarction, cardiac hypertrophy, and HF.34 Heineke et al35 reported that the cardiomyocytes of mice with CHF release MSTN, which is involved in muscle atrophy. Serra-Prat et al36 and Lenk et al37 reported that the expression of MSTN mRNA is approximately 50% higher in lower limb muscle biopsies of patients with HF than healthy controls. These studies suggest that high expression of MSTN might be involved in skeletal muscle regulation in patients with CHF. Nevertheless, the role of MSTN in CHF are inconsistent. Indeed, Chen et al38 divided patients with CHF into three groups (low, medium, and high) according to the NT-proBNP level. The serum MSTN levels were significantly higher in the medium and high NT-proBNP groups than the low NT-proBNP group (ie, the more severe the HF, the higher the MSTN level). Zamora et al39 found no correlation between the MSTN level or MSTN propeptide and disease severity markers (eg, NYHA functional class, LVEF, and NT-proBNP) or prognosis in CHF patients. As reported, MSTN regulates mitochondrial function, inhibits AKT, and blocks insulin-like growth factor-induced cardiomyocyte hypertrophy.40 The current investigation demonstrated a link between the MSTN level and frailty in older adult CHF patients. Perhaps MSTN is an indicator of a certain dysfunction and protective mechanism, which needs more explorations.

Expression of the BNP gene is stimulated by myocardial wall stress, cytokines, hormones, and ischemia.41 According to Ju et al,42 the plasma MSTN level is greater in COPD patients than in controls, and there is a significant association between the plasma BNP and MSTN levels in the COPD group (r = 0.402, P < 0.001). Plasma BNP levels are also greater in patients with COPD compared to controls and significantly higher in patients with cor pulmonale when MSTN and plasma BNP levels were determined in the current investigation. Significant connections between the BNP level and systolic pulmonary artery pressure (SPAP), tricuspid annular plane systolic excursion, and RV fractional area change (FAC) were also found by Pearson correlation analysis in the research participants. Recent investigations43,44 have demonstrated elevated plasma BNP levels in patients with right ventricular (RV) dysfunction related to chronic respiratory illnesses.

Overall, the results of this study highlighted the merit of a higher plasma BNP level as a marker for RV stress. It is interesting to note that the BNP and MSTN levels in the COPD group had a positive association because increasing wall stress causes the myocardium to produce BNP and MSTN, both of which are capable of being released into the bloodstream. Therefore, a positive association between plasma BNP and MSTN levels is expected and logical. BNP is regarded as an RV dysfunction biomarker linked to chronic lung disease.45 These findings indicate that increased MSTN might be a potential feedback regulation mechanism that improves abnormal energy metabolism, mitochondrial dysfunction, and myocardial hypertrophy in patients with HF. The overexpression of MSTN helps improve myocardial contractility and inhibits myocardial hypertrophy in patients with HF.46 Additional in vitro and in vivo studies are necessary to understand the function of MSTN in muscle atrophy.

Limitations

This research had several restrictions. The sample was modest and only came from one center. The case-control study design does not allow a determination of causality; longitudinal studies are needed to analyze the results. Only LVEF was assessed as a heart variable. Other heart parameters (eg, strain) should be explored in future studies. Although the MSTN levels were elevated in CHF patients with frailty, the diagnostic or predictive value was not examined. Whether MSTN can identify patients who are at risk of developing HF in an early stage is unclear and should be evaluated in further studies. Due to the limited number of cases, this study did not reflect the impact of gender differences on the results, which is worth further studies.

Conclusion

MSTN is highly related with frailty, and could be a promising biomarker of frailty in elderly patients with CHF in the clinical practice.

Data Sharing Statement

The datasets generated and analysed during the current study are not publicly available due to patients’ privacy but are available from the corresponding author on reasonable request.

Ethics Approval and Consent to Participate

This study was approved by the Ethics Committee of the Sixth Medical Center, Chinese PLA General Hospital (HZKY-PJ-2020-9). All study participants signed informed consent forms. This study was conducted under the principles of the Helsinki Declaration and local laws and regulations.

Funding

There is no funding to report.

Disclosure

The authors declare that they have no competing interests in this work.

References

1. Walston J, Buta B, Xue QL. Frailty screening and interventions: considerations for clinical practice. Clin Geriatr Med. 2018;34(1):25–38. doi:10.1016/j.cger.2017.09.004

2. McDonagh J, Ferguson C, Frost SA, Davidson PM. Frailty in heart failure: it’s time to intervene. Heart Lung Circ. 2023;32(4):438–440. doi:10.1016/j.hlc.2023.03.003

3. Kojima G, Liljas AEM, Iliffe S. Frailty syndrome: implications and challenges for health care policy. Risk Manag Healthc Policy. 2019;12:23–30. doi:10.2147/RMHP.S168750

4. Bandeen-Roche K, Seplaki CL, Huang J, et al. Frailty in older adults: a nationally representative profile in the United States. J Gerontol A Biol Sci Med Sci. 2015;70(11):1427–1434. doi:10.1093/gerona/glv133

5. Ma L, Zhang L, Tang Z, et al. Use of the frailty index in evaluating the prognosis of older people in Beijing: a cohort study with an 8-year follow-up. Arch Gerontol Geriatr. 2016;64:172–177. doi:10.1016/j.archger.2015.11.002

6. Groenewegen A, Rutten FH, Mosterd A, Hoes AW. Epidemiology of heart failure. Eur J Heart Fail. 2020;22(8):1342–1356. doi:10.1002/ejhf.1858

7. Vitale C, Uchmanowicz I. Frailty in patients with heart failure. Eur Heart J Suppl. 2019;21(Suppl L):L12–L16. doi:10.1093/eurheartj/suz238

8. Denfeld QE, Winters-Stone K, Mudd JO, Gelow JM, Kurdi S, Lee CS. The prevalence of frailty in heart failure: a systematic review and meta-analysis. Int J Cardiol. 2017;236:283–289. doi:10.1016/j.ijcard.2017.01.153

9. Marengoni A, Zucchelli A, Vetrano DL, et al. Heart failure, frailty, and pre-frailty: a systematic review and meta-analysis of observational studies. Int J Cardiol. 2020;316:161–171. doi:10.1016/j.ijcard.2020.04.043

10. Fulster S, Tacke M, Sandek A, et al. Muscle wasting in patients with chronic heart failure: results from the studies investigating comorbidities aggravating heart failure (SICA-HF). Eur Heart J. 2013;34(7):512–519. doi:10.1093/eurheartj/ehs381

11. Morley JE, von Haehling S, Anker SD, Vellas B. From sarcopenia to frailty: a road less traveled. J Cachexia Sarcopenia Muscle. 2014;5(1):5–8. doi:10.1007/s13539-014-0132-3

12. Tieland M, Trouwborst I, Clark BC. Skeletal muscle performance and ageing. J Cachexia Sarcopenia Muscle. 2018;9:3–19. doi:10.1002/jcsm.12238

13. Brzeszczyńska J, Meyer A, McGregor R, et al. Alterations in the in vitro and in vivo regulation of muscle regeneration in healthy ageing and the influence of sarcopenia. J Cachexia Sarcopenia Muscle. 2018;9:93–105. doi:10.1002/jcsm.12252

14. Tkaczyszyn M, Drozd M, Węgrzynowska-Teodorczyk K, et al. Depleted iron stores are associated with inspiratory muscle weakness independently of skeletal muscle mass in men with systolic chronic heart failure. J Cachexia Sarcopenia Muscle. 2018;9:547–556. doi:10.1002/jcsm.12282

15. Junius-Walker U, Onder G, Soleymani D, et al.; ADVANTAGE JA WP4 Group. The essence of frailty: a systematic review and qualitative synthesis on frailty concepts and definitions. Eur J Intern Med. 2018;56:3–10. doi:10.1016/j.ejim.2018.04.023

16. Bellumkonda L, Tyrrell D, Hummel SL, Goldstein DR. Pathophysiology of heart failure and frailty: a common inflammatory origin? Aging Cell. 2017;16:444–450. doi:10.1111/acel.12581

17. Vitale C, Spoletini I, Rosano GM. Frailty in heart failure: implications for management. Card Fail Rev. 2018;4:104–106. doi:10.15420/cfr.2018.22.2

18. Tsutsumimoto K, Doi T, Makizako H, et al. Aging-related anorexia and its association with disability and frailty. J Cachexia Sarcopenia Muscle. 2018;9:834–843. doi:10.1002/jcsm.12330

19. Chen MM, Zhao YP, Zhao Y, Deng SL, Yu K. Regulation of myostatin on the growth and development of skeletal muscle. Front Cell Dev Biol. 2021;9:785712. doi:10.3389/fcell.2021.785712

20. White TA, LeBrasseur NK. Myostatin and sarcopenia: opportunities and challenges -a mini-review. Gerontology. 2014;60(4):289–293. doi:10.1159/000356740

21. Laurent MR, Dupont J, Dejaeger M, Gielen E. Myostatin: a powerful biomarker for sarcopenia and frailty? Gerontology. 2019;65(4):383–384. doi:10.1159/000495839

22. Ponikowski P, Voors AA, Anker SD, et al. 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. Eur Heart J. 2016;37(27):2129–2200. doi:10.1093/eurheartj/ehw128

23. Fried LP, Hadley EC, Walston JD, et al. From bedside to bench: research agenda for frailty. Sci Aging Knowledge Environ. 2005;2005(31):pe24. doi:10.1126/sageke.2005.31.pe24

24. Morley JE, Vellas B, van Kan GA, et al. Frailty consensus: a call to action. J Am Med Dir Assoc. 2013;14:392–397. doi:10.1016/j.jamda.2013.03.022

25. Esposito P, Picciotto D, Battaglia Y, Costigliolo F, Viazzi F, Verzola D. Myostatin: basic biology to clinical application. Adv Clin Chem. 2022;106:181–234.

26. Ali S, Ahmad K, Shaikh S, et al. Identification and evaluation of traditional Chinese medicine natural compounds as potential myostatin inhibitors: an in silico approach. Molecules. 2022;27(13):4303. doi:10.3390/molecules27134303

27. Denfeld QE, Lee CS. The crossroads of frailty and heart failure: what more can we learn? J Card Fail. 2018;24(11):733–734. doi:10.1016/j.cardfail.2018.10.001

28. Uchmanowicz I, Nessler J, Gobbens R, et al. Coexisting frailty with heart failure. Front Physiol. 2019;10:791. doi:10.3389/fphys.2019.00791

29. Angulo J, El Assar M, Rodriguez-Manas L. Frailty and sarcopenia as the basis for the phenotypic manifestation of chronic diseases in older adults. Mol Aspects Med. 2016;50:1–32. doi:10.1016/j.mam.2016.06.001

30. Kaptoge S, Seshasai SR, Gao P, et al. Inflammatory cytokines and risk of coronary heart disease: new prospective study and updated meta-analysis. Eur Heart J. 2014;35(9):578–589. doi:10.1093/eurheartj/eht367

31. von Haehling S, Garfias Macedo T, Valentova M, et al. Muscle wasting as an independent predictor of survival in patients with chronic heart failure. J Cachexia Sarcopenia Muscle. 2020;11(5):1242–1249. doi:10.1002/jcsm.12603

32. Mouisel E, Relizani K, Mille-Hamard L, et al. Myostatin is a key mediator between energy metabolism and endurance capacity of skeletal muscle. Am J Physiol Regul Integr Comp Physiol. 2014;307(4):R444–454. doi:10.1152/ajpregu.00377.2013

33. Rodriguez J, Vernus B, Chelh I, et al. Myostatin and the skeletal muscle atrophy and hypertrophy signaling pathways. Cell Mol Life Sci. 2014;71(22):4361–4371. doi:10.1007/s00018-014-1689-x

34. Castillero E, Akashi H, Wang C, et al. Cardiac myostatin upregulation occurs immediately after myocardial ischemia and is involved in skeletal muscle activation of atrophy. Biochem Biophys Res Commun. 2015;457(1):106–111. doi:10.1016/j.bbrc.2014.12.057

35. Heineke J, Auger-Messier M, Xu J, et al. Genetic deletion of myostatin from the heart prevents skeletal muscle atrophy in heart failure. Circulation. 2010;121(3):419–425. doi:10.1161/CIRCULATIONAHA.109.882068

36. Serra-Prat M, Papiol M, Monteis R, Palomera E, Cabre M. Relationship between plasma ghrelin levels and sarcopenia in elderly subjects: a cross-sectional study. J Nutr Health Aging. 2015;19(6):669–672. doi:10.1007/s12603-015-0550-8

37. Lenk K, Erbs S, Hollriegel R, et al. Exercise training leads to a reduction of elevated myostatin levels in patients with chronic heart failure. Eur J Prev Cardiol. 2012;19(3):404–411. doi:10.1177/1741826711402735

38. Chen P, Liu Z, Luo Y, et al. Predictive value of serum myostatin for the severity and clinical outcome of heart failure. Eur J Intern Med. 2019;64:33–40. doi:10.1016/j.ejim.2019.04.017

39. Zamora E, Simo R, Lupon J, et al. Serum myostatin levels in chronic heart failure. Rev Esp Cardiol. 2010;63(8):992–996. doi:10.1016/S0300-8932(10)70212-8

40. Hennebry A, Oldham J, Shavlakadze T, et al. IGF1 stimulates greater muscle hypertrophy in the absence of myostatin in male mice. J Endocrinol. 2017;234(2):187–200. doi:10.1530/JOE-17-0032

41. Nishikimi T, Nakagawa Y. B-type natriuretic peptide (BNP) revisited-is BNP still a biomarker for heart failure in the angiotensin receptor/neprilysin inhibitor era? Biology. 2022;11(7):1034. doi:10.3390/biology11071034

42. Ju CR, Chen M, Zhang JH, Lin ZY, Chen RC. Higher plasma myostatin levels in cor pulmonale secondary to chronic obstructive pulmonary disease. PLoS One. 2016;11(3):e0150838. doi:10.1371/journal.pone.0150838

43. Casserly B, Klinger JR. Brain natriuretic peptide in pulmonary arterial hypertension: biomarker and potential therapeutic agent. Drug Des Devel Ther. 2009;3:269–287. doi:10.2147/dddt.s4805

44. Leuchte HH, Holzapfel M, Baumgartner RA, Neurohr C, Vogeser M, Behr J. Characterization of brain natriuretic peptide in long-term follow-up of pulmonary arterial hypertension. Chest. 2005;128:2368–2374. doi:10.1378/chest.128.4.2368

45. Høiseth AD, Omland T, Hagve TA, Brekke PH, Søyseth V. NT-proBNP independently predicts long term mortality after acute exacerbation of COPD—a prospective cohort study. Respir Res. 2012;13(1):97. doi:10.1186/1465-9921-13-97

46. Rodgers BD, Interlichia JP, Garikipati DK, et al. Myostatin represses physiological hypertrophy of the heart and excitation-contraction coupling. J Physiol. 2009;587(Pt 20):4873–4886. doi:10.1113/jphysiol.2009.172544

Creative Commons License © 2023 The Author(s). This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.