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. Author manuscript; available in PMC: 2020 Nov 30.
Published in final edited form as: J Vet Cardiol. 2019 Sep 1;25:41–51. doi: 10.1016/j.jvc.2019.08.002

Plasma Growth Differentiation Factors 8 and 11 levels in cats with congestive heart failure secondary to hypertrophic cardiomyopathy

Vicky K Yang a, John E Rush a, Shalender Bhasin b, Amy J Wagers c,d,e, Richard T Lee c
PMCID: PMC7703810  NIHMSID: NIHMS1647831  PMID: 31568985

Abstract

Objectives:

Growth Differentiation Factor (GDF) 11 has been shown to reduce cardiac hypertrophy in mice. Low levels of GDF11 are associated with cardiac hypertrophy in humans. We hypothesized that plasma GDF11 level is decreased in cats with hypertrophic cardiomyopathy (HCM). Given the close homology between GDF11 and myostatin/GDF8, GDF8 levels were also assessed.

Animals:

Thirty-seven client-owned cats were enrolled, including cats with normal cardiac structure (n=16), cats with HCM or hypertrophic obstructive cardiomyopathy (HOCM) (n=14), and cats with HCM and congestive heart failure (CHF) (n=7).

Methods:

Plasma samples were analyzed for GDF8 and GDF11 using liquid chromatography tandem-mass spectrometry. Levels of GDF8 and GDF11 were compared between cats with normal cardiac structure, HCM or HOCM, and CHF.

Results:

No differences in GDF11 concentrations were found between cats with normal cardiac structure and cats with HCM/HOCM, with or without history of CHF. Decreased GDF8 concentrations were detected in cats with CHF compared to cats with HCM/HOCM without history of CHF (p=0.031) and cats with normal cardiac structure (p=0.027). Growth Differentiation Factor 8 was higher in cats with HOCM compared to those with CHF (p=0.002). No statistical difference was noted in GDF8 level as a function of age, weight, or body condition score.

Conclusions:

Plasma GDF11 was not different between cats with HCM/HOCM and cats with normal cardiac structure regardless of age. Plasma GDF8 was decreased in cats with CHF compared to cats with normal cardiac structure and cats with asymptomatic HCM/HOCM, suggesting a possible role in CHF development.

Keywords: feline, myostatin, liquid chromatography tandem-mass spectrometry

Introduction

Hypertrophic cardiomyopathy (HCM) is the most common cardiac disease in cats with a prevalence of 14–16% [1, 2]. This disease is found in a variety of cat breeds, with high incidence in Ragdoll cats and Maine Coons. In both breeds, mutation in myosin binding protein C has been identified [3], although involvement of additional genetic mutations is suspected. Given the need to better understand the causes of ventricular hypertrophy and to develop appropriate therapy for both people and veterinary patients, rodent models have been studied and have demonstrated some encouraging results. Loffredo et al. [4] showed that age-related left ventricular (LV) hypertrophy in mice is associated with decreased levels of circulating Growth Differentiation Factor (GDF) 11 as measured with an antibody that also recognizes GDF8, or myostatin. Growth Differentiation Factor 11 is a member of the Transforming Growth Factor-β superfamily. It is found postnatally in the spleen, pancreas, kidney, and skeletal muscle [5], and it is also found in cardiac tissues in mice but at a lower level [6]. Resupplying GDF11 to aged mice reduces cardiac hypertrophy in a dose-dependent fashion [4, 6, 7]. This response to GDF11 treatment raises the possibility that levels of circulating GDF11 and/or GDF8 are related to the degree of cardiac hypertrophy [4].

There has been considerable controversy involving methods used to measure GDF11 in prior studies, which have included polymerase chain reaction, enzyme-linked immunosorbent assay, and proteomic microarrays [4, 8, 9]. The close homology between GDF11 and GDF8 may result in cross-reactivity in certain assays as these two proteins share approximately 90% sequence identity in their mature forms [5]. Both proteins belong to the activin/myostatin subclass of the TGF-beta family, activate similar receptors, and therefore share many redundant functions [10]. Growth Differentiation Factor 8, or myostatin, is expressed postnatally by skeletal and cardiac tissues and suppresses skeletal muscle mass [5]. Expression of GDF8 is associated with a reduction in cardiomyocyte proliferation without a negative effect on systolic function [8]. Conflicting results regarding levels of either GDF8 or GDF11 with age, heart disease, therapy, and prognosis may be the result of technical difficulties associated with separate detection of the two proteins [4, 7, 1020]. This may also have added confusion as to how GDF8 or GDF11 overexpression may alter cardiac morphology and function [4, 6, 2123]. Overcoming the limitations of traditional analytical techniques in differentiating GDF8 and GDF11 requires liquid chromatography tandem-mass spectrometry (LC-MS/MS). This method accurately differentiates GDF8 and GDF11 in humans and rats [18, 24]. This method resolves multiple distinct residues within GDF8 and GDF11, allowing differentiation between these proteins despite their high percentage of homology [18]. In feline samples, LC-MS/MS would be expected to accurately differentiate between GDF8 and GDF11 given that there is 100% homology between the mature domains of feline and human GDF8 and GDF11 (Fig. 1) [6, 25]. In contrast to the mature domains of feline GDF8 and GDF11 that exhibit 90% homology, the prodomains exhibit greater differences with only a 54.7% homology between the two proteins [25].

Figure 1. Protein structure of Growth Differentiation Factor (GDF) 8 and 11 in cats.

Figure 1.

The mature domain and prodomain amino acid sequences of GDF8 and GDF11 in cats are shown and compared. There is a 90% homology between the mature domains of the two proteins and a 54.7% homology between the prodomains. Amino acid differences are highlighted in red.

Few studies have investigated the effects and levels of circulating GDF11 in veterinary patients. Ahn et al. [26] showed that circulating GDF11 levels did not change significantly in dogs that developed congestive heart failure (CHF) secondary to myxomatous mitral valve disease. Furthermore, GDF11 did not change as a function of patient age, body weight, and echocardiographic variables. Studies of GDF11 have not been reported in cats. Cardiac hypertrophy in the form of LV free wall or septal wall thickening is often observed in cats with primary HCM, systemic hypertension, or hyperthyroidism. Given the possible relationship between GDF11 and cardiac hypertrophy, we investigated circulating GDF11 in cats with HCM. We hypothesized that cats with HCM will have decreased circulating GDF11 levels compared to cats with normal cardiac structure. We also speculated that there may be a decrease in GDF11 levels in older cats.

Animals, Materials and Methods

Client-owned cats presented to the Foster Hospital for Small Animals at the Cummings School of Veterinary Medicine at Tufts University were enrolled in this study. The study protocol was approved by the Tufts University Clinical Studies Review Committee, and owner consent was obtained prior to sample collection. Cats received a routine physical exam and echocardiogram examination. Cats with hyperthyroidism, history of systemic hypertension, or aortic stenosis were excluded from the study. Cats with comorbidities including diabetes, neoplasia, and azotemia prior to starting diuretic therapy were also excluded. Patients were divided into five groups: cats with normal cardiac structure < 6 years of age (termed “young normal”); cats with normal cardiac structure ≥ 6 years old (termed “old normal”); cats with HCM without left ventricular tract obstruction; cats with hypertrophic obstructive cardiomyopathy (HOCM); and cats with HCM and clinical signs or history of CHF. Congestive heart failure was defined as presence of pulmonary edema on thoracic radiographs or pleural or pericardial effusion on echocardiogram, and requiring treatment with furosemide. Echocardiography was performed without sedation by either a board-certified cardiologist or a cardiology resident under the supervision of a board-certified cardiologist. Measurements recorded included M-mode measurements of interventricular septal thickness in diastole and in systole (outer edge to outer edge), LV internal dimension in diastole and in systole (inner edge to inner edge), LV free wall thickness in diastole and in systole (outer edge to outer edge), and fractional shortening, all from the right parasternal short axis view. The left atrial to aortic ratio was measured from both M-mode and 2-D right parasternal short axis view (leading edge to leading edge). Cats in the normal groups were > 1 year of age and had LV wall thicknesses < 6 mm in diastole. Cats with a heart murmur as a result of dynamic right ventricular outflow tract obstruction were included in the normal groups if the LV walls in diastole did not measure thicker than 6 mm. Hypertrophic cardiomyopathy was defined as LV free wall or interventricular septum thickness in diastole, either focal or generalized, ≥ 6 mm without evidence of LV outflow tract obstruction. Cats in the HOCM group had evidence of LV outflow tract obstruction defined as late systolic LV outflow tract velocity > 2.5 m/s [27] in addition to LV wall thicknesses < 6 mm in diastole. One mL of whole blood was collected into EDTA collection tubes. Plasma was isolated by centrifugation of whole blood sample at 1,320×g for 10 min at room temperature immediately after blood collection to remove cells and platelets. Plasma was stored at −80°C until LC-MS/MS analysis.

Samples were denatured and reduced in 6 M urea and 20 mM dithlothreitol at 60°C for 40 min and alkylated with 35 mM iodoacetic acid at 37°C for 30 min. After acidification using 1.5 mL 0.1% formic acid (FA) solution, the samples were loaded into conditioned strong cation exchange solid phase extraction 96 well platesf using 1 mL of methanol, followed by 1 mL of 0.1% FA, and washed by 1 mL of 0.1% FA and 1 mL of 10 mM bis-Tris, pH 5.8 buffer. Bound proteins were eluted in 1.5 mL of buffer solution containing 10% methanol in 50 mM Tris at pH 10.5. Eluents were adjusted to pH 8 using 0.1 to 1 M hydrochloric acid and mixed with 50 μL of 100 μg/mL trypsin in 50 mM Tris buffer at pH 8. Then, 50 μL of 5 ng/mL isotope-labeled peptides prepared in 0.1% FA was added as internal standard. The digested solution was then loaded into a Strata-X 33μm solid phase extraction systemg conditioned with 1 mL methanol followed by 1 mL of deionized water. Samples were eluted with 1 mL methanol after washing with 1 mL deionized water and evaporated to dry. Residues were reconstituted with 50 μL of 5% methanol and 0.1% FA in deionized water for LC-MS/MS analysis. An ultra-performance liquid chromatography system consisting of LC-20 ADXR Binary Pump and SIL-20 ACXR Autosamplerh was used for liquid-chromatographic separation. Chromatographic separation was achieved using Aeris Peptide 3.6 μm XB - C18i. Column and autosampler temperatures were set at 45°C and 10°C, respectively. The mobile phase consisted of 0.1% FA in deionized water and 0.1% FA in methanol. A hybrid triple quadrupole/liner ion trap mass spectrometerj equipped with a Turbo V ion source was used for detection. The mass spectrometer was operated in positive electrospray ionization mode using an ion-spray voltage of 5500. The most intense unique surrogated peptides and their multiple reaction monitoring transitions were identified by peptide mapping using an information-dependent acquisition experiment; the ideal multiple reaction monitoring transitions were further optimized by the autotune function of Analyst Software by infusion of desalted tryptic digest of GDF-11 and GDF-8 proteins. Ion source optimization was performed by flow injection using 0.1% FA in deionized water/methanol at 70/30 (v/v) at 600 μL/min or 200 μL/min depending on the columns used. Calibration curves were prepared by assaying commercial pooled human plasma spiked with eight concentrations of GDF-11 or GDF-8 (0.5, 1, 5, 10, 25, 50 ng/mL). Additionally, isotope-labeled IPGMVVD^R and NLGLDEHSSEŜR peptides were added as internal standards to a final concentration of 5 ng/mL after pH-based fractionation by conditioned strong cation exchange solid phase extraction and tryptic digestion. The lower limit of quantitation is 1 ng/mL. GDF8 and immunoglobulin G have no detectable cross-reactivity in the GDF11 assay. The inter-assay coefficient of variation was less than 10%.

Statistical analysis was performed using commercially available statistics softwarek. Shapiro-Wilk test was used to test for normality, and Kruskal-Wallis test was used for non-parametric statistical testing of differences among more than two groups. Mann-Whitney U test or t-test (normally distributed data) was used for two-way comparisons. Bonferroni correction was applied to multi-group comparison.

Results

Thirty-seven cats were enrolled into five groups: old normal group (n=7), young normal group (n=9), HCM group (n=8), HOCM group (n=6), and HCM with CHF group (n=7). The demographics of the cats are reported in Table 1. There was no difference in body weight or body condition score (on a scale of 1–9) among the five groups. Cats in young normal group (mean age 2.4 years ± 1.1) was significantly younger than cats in the old normal group (mean age 10 years ± 3.3, p = 0.0003), cats in the HCM or HOCM groups (mean age 8.8 years ± 3.2, p = 0.00001), and cats in the CHF group (mean age 9.1 years ± 2.9, p = 0.001).

Table 1.

Demographics of study cats

Total Median Age (Range)
Years
Avg Weight (Range)
kg
Avg BCS
(Range)
Gender Total Breed Total
Young Normal 9 2.5 (1–4) 5.2 (2.8–7.6) 6 (4–9) CM 5
SF 1
F 2
Abyssinian 2
DSH 7
Old Normal 7 12 (6–14) 4.7 (3.4–5.5) 5.8 (4–7) CM 3
SF 5
DSH 5
DLH 2
HCM 8 7 (4–12) 6.5 (5–8.8) 6.5 (6–8) CM 8 DSH 6
DMH 1
DLH 1
HOCM 6 11.5 (6–15) 5.4 (4.3–6.6) 6.0 (6–7) CM 2
SF 4
DSH 4
DLH 2
HCM with CHF 7 10 (4–13) 5.6 (3.6–9) 4.5 (4–9) CM 6
SF 1
Abyssinian 1
Tonkinese 1
DSH 2
DMH 2
DLH 1

BCS - body condition score, on a scale of 1–9; DSH - domestic short hair; DLH - domestic long hair; DMH - domestic medium hair; CM - castrated male; SF - spayed female

Echocardiographic findings are reported in Table 2. The p-values for comparisons are listed in Table 3. All six cats in the HOCM had focal hypertrophy of the IVSd measuring > 0.65 cm and systolic anterior motion of the mitral valve. Cats in the young normal group had larger LV internal dimension in diastole measurements compared to older normal cats (p = 0.018). Fractional shortening was also lower in cats with CHF compared to cats in the old normal group (p = 0.004) and cats with HOCM (p = 0.008).

Table 2.

Summary of echocardiographic measurements

Young Normal Old Normal HCM HOCM HCM with CHF
IVSd (cm) 0.45 (0.08) 0.47 (0.04) 0.58 (0.1) 0.65 (0.08) 0.66 (0.21)
Avg (stdev)
LVIDd (cm) 1.67 (0.12) 1.43 (0.10) 1.38 (0.35) 1.34 (0.15) 1.52 (0.51)
Avg (stdev)
LVPWd (cm) 0.47 (0.06) 0.43 (0.05) 0.58 (0.10) 0.56 (0.06) 0.63 (0.25)
Avg (stdev)
IVSs (cm) 0.69 (0.08) 0.75 (0.09) 0.77 (0.14) 0.88 (0.11) 0.80 (0.23)
Avg (stdev)
LVIDs (cm) 0.86 (0.14) 0.67 (0.22) 0.77 (0.11) 0.60 (0.11) 0.99 (0.56)
Avg (stdev)
LVPWs (cm) 0.77 (0.88) 0.73 (0.14) 0.89 (0.13) 0.84 (0.12) 0.78 (0.31)
Avg (stdev)
FS (%) 49.1 (5.5) 58.5 (9.8) 50.4 (5.0) 55.5 (5.0) 38.1 (16.0)
Avg (stdev)
LA:Ao 1.24 (0.23) 1.27 (0.17) 1.24 (0.15) 1.37 (0.25) 2.10 (0.40)
Avg (stdev)
LA:Ao (M-mode) 1.37 (0.27) 1.41 (0.25) 1.30 (0.24) 1.43 (0.18) 1.91 (0.46)
Avg (stdev)
LVOT velocity (m/s) 0.8 (0.2) 1.1 (0.6) 0.9 (0.1) 4.0 (0.9) 1.0 (0.2)
Avg (stdev)

IVSd - interventricular septum in diastole; LVIDd - LV internal dimension in diastole; LVPWd - LV free wall in diastole; IVSs - interventricular septum in systole; LVIDs - LV internal dimension in systole; LVPWs - LV free wall in systole; FS - fractional shortening; SA LA:Ao -left atrium to aorta ratio in short axis; LVOT - left ventricular outflow tract

Table 3.

Statistical findings (P values). Only p values that are <0.05 are shown. Bonferroni corrected p-value = 0.005.

Young vs. Old Young vs. HCM Young vs. HOCM Young vs. CHF Old vs. HCM Old vs. HOCM Old vs. CHF HCM vs. HOCM HCM vs. CHF HOCM vs. CHF
Age 0.0002 0.015 0.0001 0.001 - - - - - -
Weight - - - - 0.01 - - - - -
BCS - - - - - - - - - -
IVSd - 0.023 0.002 0.018 0.038 0.005 0.03 - - -
LVIDd 0.018 0.032 0.002 - - - - - - -
LVPWd - 0.037 - 0.042 0.004 0.01 0.005 - - -
IVSs - - 0.013 - - 0.035 - - - -
LVIDs - - 0.003 - - - - 0.013 - -
LVPWs - - - - - - - - - -
FS 0.047 - - - - - 0.004 - - 0.008
LA:Ao - - - 0.002 - - 0.003 - 0.002 0.023
LA:Ao (M-mode) 0.029 0.001 0.006 -

BCS - body condition score; IVSd - interventricular septum in diastole; LVIDd - LV internal dimension in diastole; LVPWd - LV free wall in diastole; IVSs - interventricular septum in systole; LVIDs - LV internal dimension in systole; LVPWs - LV free wall in systole; FS - fractional shortening; LA:Ao -left atrium to aorta ratio

Circulating GDF11 levels were not different between the normal, HCM, HOCM, and CHF groups (Fig. 24). In contrast, circulating GDF8 levels were decreased in cats with HCM and CHF compared to cats (both young and old) with normal cardiac structure (p = 0.027), and to cats with HCM or HOCM without CHF (p = 0.031). In particular, cats with HOCM had significantly higher GDF8 levels than those in the CHF group (p = 0.002). Differences were not identified based on age, weight, or sex for either GDF8 or GDF11 (Fig. 57).

Figure 2. Growth Differentiation Factor (GDF) 8 and 11 Levels.

Figure 2.

The GDF8 levels for the five different disease groups are shown (a) (n = 7/group for old normal, n = 8 for hypertrophic cardiomyopathy (HCM), n = 6 for hypertrophic obstructive cardiomyopathy (HOCM), and n = 9 for young normal). GDF11 levels for each of the groups are shown in (b). Open circles represent outliers. * denotes statistically significant differences.

Figure 4. Comparison of cats with congestive heart failure (CHF) to cats with normal hearts.

Figure 4.

Cats with CHF (n=7) had lower Growth Differentiation Factor (GDF) 8 levels compared to cats with no heart disease (p = 0.027, n=16) (a), whereas no difference was detected between groups for GDF11 (b). Open circles represent outliers. * denotes statistically significant differences.

Figure 5. Scatter plots of Growth Differentiation Factor (GDF) 8 and 11 levels as a function of age and disease group.

Figure 5.

Individual data points for GDF8 (a) and GDF11 (b) are shown. Each patient point is labeled by disease status: blue (young normal), red (old normal), green (hypertrophic cardiomyopathy, HCM), orange (hypertrophic obstructive cardiomyopathy, HOCM), yellow (congestive heart failure, CHF).

Figure 7. Scatter plots of Growth Differentiation Factor (GDF) 8 and 11 levels as a function of weight and disease group.

Figure 7.

Individual data points for GDF8 (a) and GDF11 (b) are shown. Each patient point is labeled by disease status: blue (young normal), red (old normal), green (hypertrophic cardiomyopathy, HCM), orange (hypertrophic obstructive cardiomyopathy, HOCM), yellow (congestive heart failure, CHF).

Discussion

This is the first report in cats of the association between LC-MS/MS measured circulating GDF8 and GDF11 and HCM/HOCM or CHF. Age-related changes in GDF8 or the GDF11 levels were not observed in cats enrolled in this study. Circulation levels of GDF11 were not different between normal cats compared to cats with asymptomatic HCM/HOCM or CHF. Circulating levels of GDF8 and GDF11 were not different based on sex, in contrast to humans where GDF8 and GDF11 are higher in males [10]. The most significant finding of this study was that circulating levels of GDF8 were decreased in cats with CHF secondary to HCM when compared to cats with normal cardiac structure or cats with HCM/HOCM without CHF.

The absence of differences in circulating GDF11 levels associated with aging or the development of cardiac hypertrophy is in contrast with previous reports in aging mice, aging humans, and humans with advanced heart disease as classified by the New York Heart Association (NYHA) class ranking [4, 10, 18]. Contrary to the studies in mice and humans, the observed ventricular hypertrophy in cats enrolled in this study was secondary to primary HCM and not as a result of aging alone. Unpublished observations from our laboratory indicate that the age-dependent variations in circulating GDF8 and GDF11 in rodents represent changes in specific isoforms of these two proteins rather than the total GDF8 and GDF11 levels. Changes in specific protein isoforms were not investigated in this study.

There are conflicting reports in humans regarding the association between CHF and circulating GDF8 levels. While some studies report decreased GDF8 levels associated with ischemic or non-ischemic heart failure [11, 13], others report increased GDF8 levels with CHF secondary to dilated cardiomyopathy [14] or with decompensated CHF [15, 20]. In this study, cats with HCM had decreased circulating GDF8 levels once heart failure had developed. The cause of decreased circulating GDF8 in cats with CHF might be the result of decreased production from either cardiac or skeletal muscle. Decreased production from the cardiac tissue might be secondary to loss of cardiomyocytes and increased cardiac fibrosis, which is often found in cats with advanced heart disease. Confirmation of these causes for the decreased GDF8 production would require analysis of heart and muscle tissues. Changes in patient body condition score were not observed in cats with CHF in this study, although muscle condition scores measuring cachexia were not obtained and thus skeletal muscle loss cannot be ruled out.

Despite the decrease in GDF8 levels seen in cats with CHF, it is unclear if GDF8 supplementation in cats with CHF would be beneficial. The decrease may be a compensatory outcome needed to maintain cardiac function. In this case, GDF8 supplementation would be detrimental, although increases in GDF8 have not been shown to negatively affect systolic function. Cats with CHF had concurrent decreases in GDF8 level and fractional shortening compared to the other groups; however, a causative relationship between these two findings cannot be established from this study. Studies in human patients showed that those in the highest quartile for combined GDF11 and GDF8 levels had markedly lower risk of reaching study end-points related to cardiovascular mortality.[6] These studies concluded that GDF11 and/or GDF8 protect against adverse cardiovascular events. Studies of recombinant GDF8 supplementation or GDF8 antagonists might confirm the effect of GDF8 levels on cardiac function.

One of the main limitations of this study is the small sample size. Larger sample sizes will be needed to confirm the findings in this study. Based on our data from this study, detecting a significant difference in GDF11 levels between young normal cats and cats with HCM or HOCM would require 60 patients. As discussed above, tissue analysis might also aid in determining the cause of decreased circulating GDF8. This study also did not investigate changes in specific GDF8 or GDF11 isoforms but rather measured the total GDF8 and GDF11. Lastly, muscle condition data might have provided additional insight into the changes in the GDF8 level as this protein is found in skeletal muscles in addition to cardiac muscle.

Conclusions

Circulating GDF11 in cats was not associated with age or the development of HCM or CHF. A decrease in circulating GDF8 was found in cats with CHF secondary to HCM/HOCM. These results suggest that the process by which cardiac hypertrophy develops in laboratory mice may be different from what occurs in cats with HCM or HOCM.

Figure 3. Comparison of cats with congestive heart failure (CHF), hypertrophic cardiomyopathy (HCM), and hypertrophic obstructive cardiomyopathy (HOCM).

Figure 3.

Cats with CHF (n = 7) had lower Growth Differentiation Factor (GDF) 8 levels compared to cats with HCM and HOCM (p = 0.031, n=14) (a). No difference was detected between groups for GDF 11 (b). Open circles and small asterisk represent outliers. * denotes statistically significant differences.

Figure 6. Scatter plots of Growth Differentiation Factor (GDF) 8 and 11 levels as a function of age and sex.

Figure 6.

Individual data points for GDF8 (a) and GDF11 (b) are shown. Each patient point is labeled by sex: blue (male), red (female).

Acknowledgement:

The authors thank Ms. Liming Peng for performing the liquid chromatography tandem-mass spectrometry and Morris Animal Foundation for research funding.

Abbreviation Table:

CHF

congestive heart failure

FA

formic acid

GDF

growth differentiation factor

HCM

hypertrophic cardiomyopathy

HOCM

hypertrophic obstructive cardiomyopathy

LC-MS/MS

liquid chromatography tandem-mass spectrometry

LV

left ventricle

Footnotes

Conflict of Interest

The authors certify that they have no conflict of interest to declare.

f

StrataTM - XL-C 100μm, PN: 8E-S044-TGB, Phenomenex Inc., Torrance, CA

g

PN:8E-S100-AGB, Phenomenex Inc., Torrance, CA

h

Shimadzu, Framingham, MA

i

Phenomenex Inc., Torrance, CA

j

AB Sciex QTRAP® 5500, Framingham, MA

k

IBM SPSS Statistics for Windows, Released 2017, Version 25.0. Armonk, NY

References

  • [1].Paige CF, Abbott JA, Elvinger F, Pyle RL. Prevalence of cardiomyopathy in apparently healthy cats. J Am Vet Med Assoc 2009;234:1398–403. [DOI] [PubMed] [Google Scholar]
  • [2].Payne JR, Brodbelt DC, Luis Fuentes V. Cardiomyopathy prevalence in 780 apparently healthy cats in rehoming centres (the CatScan study). J Vet Cardiol 2015;17 Suppl 1:S244–57. [DOI] [PubMed] [Google Scholar]
  • [3].Maron BJ, Fox PR. Hypertrophic cardiomyopathy in man and cats. J Vet Cardiol 2015;17 Suppl 1:S6–9. [DOI] [PubMed] [Google Scholar]
  • [4].Loffredo FS, Steinhauser ML, Jay SM, Gannon J, Pancoast JR, Yalamanchi P, Sinha M, Dall’Osso C, Khong D, Shadrach JL, Miller CM, Singer BS, Stewart A, Psychogios N, Gerszten RE, Hartigan AJ, Kim MJ, Serwold T, Wagers AJ, Lee RT. Growth differentiation factor 11 is a circulating factor that reverses age-related cardiac hypertrophy. Cell 2013;153:828–39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [5].Walker RG, Czepnik M, Goebel EJ, McCoy JC, Vujic A, Cho M, Oh J, Aykul S, Walton KL, Schang G, Bernard DJ, Hinck AP, Harrison CA, Martinez-Hackert E, Wagers AJ, Lee RT, Thompson TB. Structural basis for potency differences between GDF8 and GDF11. BMC Biol 2017;15:19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [6].Walker RG, Poggioli T, Katsimpardi L, Buchanan SM, Oh J, Wattrus S, Heidecker B, Fong YW, Rubin LL, Ganz P, Thompson TB, Wagers AJ, Lee RT. Biochemistry and biology of GDF11 and Myostatin: Similarities, differences, and questions for future investigation. Circ Res 2016;118:1125–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [7].Du GQ, Shao ZB, Wu J, Yin WJ, Li SH, Wu J, Weisel RD, Tian JW, Li RK. Targeted myocardial delivery of GDF11 gene rejuvenates the aged mouse heart and enhances myocardial regeneration after ischemia-reperfusion injury. Basic Res Cardiol 2017;112:7. [DOI] [PubMed] [Google Scholar]
  • [8].Biesemann N, Mendler L, Wietelmann A, Hermann S, Schafers M, Kruger M, Boettger T, Borchardt T, Braun T. Myostatin regulates energy homeostasis in the heart and prevents heart failure. Circ Res 2014;115:296–310. [DOI] [PubMed] [Google Scholar]
  • [9].McNally EM. Questions and answers about Myostatin, GDF11, and the aging heart. Circulation Research 2016;118:6–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [10].Olson KA, Beatty AL, Heidecker B, Regan MC, Brody EN, Foreman T, Kato S, Mehler RE, Singer BS, Hveem K, Dalen H, Sterling DG, Lawn RM, Schiller NB, Williams SA, Whooley MA, Ganz P. Association of growth differentiation factor 11/8, putative anti-ageing factor, with cardiovascular outcomes and overall mortality in humans: analysis of the Heart and Soul and HUNT3 cohorts. European Heart Journal 2015;36:3426–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [11].Breitbart A, Scharf GM, Duncker D, Widera C, Gottlieb J, Vogel A, Schmidt S, Brandes G, Heuft HG, Lichtinghagen R, Kempf T, Wollert KC, Bauersachs J, Heineke J. Highly specific detection of myostatin prodomain by an immunoradiometric sandwich assay in serum of healthy individuals and patients. PLoS One 2013;8:e80454. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [12].Egerman MA, Cadena SM, Gilbert JA, Meyer A, Nelson HN, Swalley SE, Mallozzi C, Jacobi C, Jennings LL, Clay I, Laurent G, Ma S, Brachat S, Lach-Trifilieff E, Shavlakadze T, Trendelenburg AU, Brack AS, Glass DJ. GDF11 Increases with age and inhibits skeletal muscle regeneration. Cell Metab 2015;22:164–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [13].Furihata T, Kinugawa S, Fukushima A, Takada S, Homma T, Masaki Y, Abe T, Yokota T, Oba K, Okita K, Tsutsui H. Serum myostatin levels are independently associated with skeletal muscle wasting in patients with heart failure. Int J Cardiol 2016;220:483–7. [DOI] [PubMed] [Google Scholar]
  • [14].George I, Bish LT, Kamalakkannan G, Petrilli CM, Oz MC, Naka Y, Sweeney HL, Maybaum S. Myostatin activation in patients with advanced heart failure and after mechanical unloading. Eur J Heart Fail 2010;12:444–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [15].Gruson D, Ahn SA, Ketelslegers JM, Rousseau MF. Increased plasma myostatin in heart failure. Eur J Heart Fail 2011;13:734–6. [DOI] [PubMed] [Google Scholar]
  • [16].Poggioli T, Vujic A, Yang P, Macias-Trevino C, Uygur A, Loffredo FS, Pancoast JR, Cho M, Goldstein J, Tandias RM, Gonzalez E, Walker RG, Thompson TB, Wagers AJ, Fong YW, Lee RT. Circulating Growth Differentiation Factor 11/8 levels decline with age. Circ Res 2016;118:29–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [17].Rodgers BD, Eldridge JA. Reduced circulating GDF11 Is unlikely responsible for age-dependent changes in mouse heart, muscle, and brain. Endocrinology 2015;156:3885–8. [DOI] [PubMed] [Google Scholar]
  • [18].Schafer MJ, Atkinson EJ, Vanderboom PM, Kotajarvi B, White TA, Moore MM, Bruce CJ, Greason KL, Suri RM, Khosla S, Miller JD, Bergen HR 3rd, LeBrasseur NK. Quantification of GDF11 and Myostatin in human aging and cardiovascular disease. Cell Metab 2016;23:1207–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [19].Sinha M, Jang YC, Oh J, Khong D, Wu EY, Manohar R, Miller C, Regalado SG, Loffredo FS, Pancoast JR, Hirshman MF, Lebowitz J, Shadrach JL, Cerletti M, Kim MJ, Serwold T, Goodyear LJ, Rosner B, Lee RT, Wagers AJ. Restoring systemic GDF11 levels reverses age-related dysfunction in mouse skeletal muscle. Science 2014;344:649–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [20].Wintgens KF, Dschietzig T, Stoeva S, Paulsson M, Armbruster FP. Plasma myostatin measured by a competitive ELISA using a highly specific antiserum. Clin Chim Acta 2012;413:1288–94. [DOI] [PubMed] [Google Scholar]
  • [21].Hammers DW, Merscham-Banda M, Hsiao JY, Engst S, Hartman JJ, Sweeney HL. Supraphysiological levels of GDF11 induce striated muscle atrophy. EMBO Mol Med 2017;9:531–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [22].Smith SC, Zhang X, Zhang X, Gross P, Starosta T, Mohsin S, Franti M, Gupta P, Hayes D, Myzithras M, Kahn J, Tanner J, Weldon SM, Khalil A, Guo X, Sabri A, Chen X, MacDonnell S, Houser SR. GDF11 does not rescue aging-related pathological hypertrophy. Circ Res 2015;117:926–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [23].Zimmers TA, Jiang Y, Wang M, Liang TW, Rupert JE, Au ED, Marino FE, Couch ME, Koniaris LG. Exogenous GDF11 induces cardiac and skeletal muscle dysfunction and wasting. Basic Res Cardiol 2017;112:48. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [24].Zhao Y, Liu GW, Zambito FC, Zhang YJ, DeSilva BS, Kozhich AT, Shen JX. A multiplexed immunocapture liquid chromatography tandem mass spectrometry assay for the simultaneous measurement of myostatin and GDF-11 in rat serum using an automated sample preparation platform. Analytica Chimica Acta 2017;979:36–44. [DOI] [PubMed] [Google Scholar]
  • [25].O’Leary NA, Wright MW, Brister JR, Ciufo S, Haddad D, McVeigh R, Rajput B, Robbertse B, Smith-White B, Ako-Adjei D, Astashyn A, Badretdin A, Bao Y, Blinkova O, Brover V, Chetvernin V, Choi J, Cox E, Ermolaeva O, Farrell CM, Goldfarb T, Gupta T, Haft D, Hatcher E, Hlavina W, Joardar VS, Kodali VK, Li W, Maglott D, Masterson P, McGarvey KM, Murphy MR, O’Neill K, Pujar S, Rangwala SH, Rausch D, Riddick LD, Schoch C, Shkeda A, Storz SS, Sun H, Thibaud-Nissen F, Tolstoy I, Tully RE, Vatsan AR, Wallin C, Webb D, Wu W, Landrum MJ, Kimchi A, Tatusova T, DiCuccio M, Kitts P, Murphy TD, Pruitt KD. Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation. Nucleic Acids Res 2016;44:D733–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [26].Ahn ST, Suh SI, Moon H, Hyun C. Evaluation of growth differentiation factor 11 (GDF11) levels in dogs with chronic mitral valve insufficiency. Can J Vet Res 2016;80:90–2. [PMC free article] [PubMed] [Google Scholar]
  • [27].Jackson BL, Adin DB, Lehmkuhl LB. Effect of atenolol on heart rate, arrhythmias, blood pressure, and dynamic left ventricular outflow tract obstruction in cats with subclinical hypertrophic cardiomyopathy. J Vet Cardiol 2015;17 Suppl 1:S296–305. [DOI] [PubMed] [Google Scholar]

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