Myostatin and Markers of Bone Metabolism in Dermatomyositis

doi:10.21203/rs.3.rs-37183/v2

Download PDF

Research article

Myostatin and Markers of Bone Metabolism in Dermatomyositis

https://doi.org/10.21203/rs.3.rs-37183/v2

This work is licensed under a CC BY 4.0 License

Journal Publication

published 05 Feb, 2021

Read the published version in BMC Musculoskeletal Disorders →

You are reading this older preprint version

Read the latest preprint version →

Background: In dermatomyostis (DM) patients, inflammation, reduced activity, and medication have a negative impact on the musculoskeletal system. Several endocrine factors are involved in muscle growth and bone turnover.

Objective: We aimed to investigate factors regulating myogenesis and bone metabolism and to evaluate possible associations between these endocrine factors, muscle strength, and functional tests in DM patients.

Methods: We conducted a cross-sectional study in 20 dermatomyositis patients. Serum levels of myostatin (MSTN), follistatin (FSTN), dickkopf 1 (Dkk1), sclerostin (SOST), periostin (PSTN), the receptor activator nuclear factor kB ligand (RANKL):osteoprotegerin (OPG) ratio and fibroblast growth factor 23 (FGF23) were determined. Physical function was evaluated by hand-held strength measurement, chair rising test, timed up and go test and the 3-minute walking test.

Results: Serum MSTN and FGF23 levels (2.5 [1.9; 3.2] vs. 1.9 [1.6; 2.3] and 2.17 [1.45; 3.26] vs. 1.28 [0.79; 1.96], respectively; p<0.05) were significantly higher in DM patients than in controls. Dkk1 was significantly lower (11.4 [6.9; 20.0] vs. 31.8 [14.3; 50.6], p<0.01). Muscle strength and physical function tests correlated with each other (e.g. hip flexion – timed up and go test: r=-0.748, p<0.01).

Conclusion: In DM patients, biochemical musculo-skeletal markers are altered and physical function shows deficits. All these tests reflect independent of each other different deficits in long-term DM patients which is important for the assessment of DM patients as well as planning of therapeutic interventions in clinical routine.

Orthopedics

Dermatomyositis

Myostatin

FGF23

Muscle strength

Physical function

Dermatomyositis (DM) is an idiopathic inflammatory myopathy characterized by chronic skeletal muscle inflammation and weakness; proximal muscles are the ones which are mostly affected. The skin manifestation is expressed as rashes. The aetiology of muscle weakness is not fully understood but besides inflammation, corticosteroid treatment, and disuse, a switch of muscle fibre type as well as decreases of adenosine monophosphate deaminase (AMPD1) may contribute to skeletal muscle weakness in inflammatory myopathy [1, 2]. Inflammation, corticosteroid treatment, and low body weight may also be factors responsible for the elevated susceptibility to osteoporosis and fragility fractures in DM patients [3, 4].

Throughout life muscle metabolism is influenced by several endocrine factors. One of the key factors regulating myogenesis is myostatin (MSTN). Much interest has been given to this negative regulator of muscle mass and its inhibitor follistatin (FSTN) in physiologic as well as pathophysiologic conditions, including muscular dystrophies and inflammatory myopathies [for review see 5]. Just like muscle metabolism, bone homeostasis also depends on the balance between positive and negative regulators. Osteocytes play a central role in the regulation by secreting different proteins: Sclerostin (SOST) and dickkopf-1 (Dkk 1), inhibitors of the Wnt/ß-catenin signaling pathway, which reduce bone formation and regeneration, as well as fibroblast growth factor 23 (FGF23), an important regulator of phosphate and vitamin D, thus, being involved in skeletal metabolism [for review see 6]. Another regulator of bone metabolism is the osteoblast-specific factor 2, periostin (PSTN) which is supposed to be associated with bone strength [7]. The RANKL (receptor activator of nuclear factor-kB ligand) /OPG (osteoprotegerin) system plays an important role in osteoclastogenesis as well [8].

Pathophysiological mechanisms of DM-associated muscle and bone strength loss are not well investigated in DM patients. Only one study [9] evaluated the above-mentioned regulators of muscle growth in DM patients so far. Thus, the aim of this study was to investigate the pathophysiological role of important factors regulating myogenesis and bone metabolism in patients with DM. The primary hypothesis was an inflammation-induced increase of serum levels of myostatin. Additionally, we wanted to evaluate possible associations between these regulators and physical function to increase the understanding of myokines and osteokines involved in the development of musculoskeletal deficits of DM patients.

Study population

Patients with dermatomyositis according to the Bohan and Peter criteria [10, 11] and regular follow-up at the Department of Dermatology, Medical University of Vienna were invited to participate in this cross-sectional study if the diagnosis was verified by muscle biopsy and if the patients were at least 18 years of age. To be eligible, participants had to be able to follow the study protocol. Excluded were patients who had a malignant disease within the previous five years, had to undergo surgery within the past three months, were immobilized, or had renal or liver insufficiency. Ethical approval was provided by the Medical University of Vienna Ethics Committee and all participants gave written informed consent to this study after the procedure of the study was explained to them.

Procedures

Anthropometric measures of patients with DM either on standard therapy (glucocorticoids and methotrexate) or intravenous immunoglobulin (IVIG) treatment were performed. Standing height was measured in stocking feet to the nearest centimeter using a stadiometer, and weight was measured using a balance beam scale, recalibrated monthly. Afterwards venous blood samples were drawn. To eliminate diurnal variations in biochemical variables sample collection was performed in the morning. After centrifugation of the whole blood serum was immediately frozen and stored at -70 degrees until assayed. All samples were handled in a single batch run. Additionally, muscle strength was measured and patients conducted three different functional tests.

Biochemistry

Serum levels of C-reactive protein (CRP), creatinine kinase (CK), and aldolase were measured to give information on disease activity. Basic serum chemistry included calcium, phosphate, creatinine, parathyroid hormone, and 25-hydroxvitamin D (25OHD). Analysed bone formation markers were bone specific alkaline phosphatase (BAP; Liaison Analyzer, DiaSorin Inc., USA, detection limit: 0.1 µg/L; intra-assay coefficient of variation: 3.3 – 4.3 %, inter-assay coefficient of variation: 6.1 – 8.1 %), osteocalcin (Oc; Cobas 8000 Analyzer, Roche Diagnostics, Switzerland, detection limit: 0.01 ng/mL; intra-assay coefficient of variation: 0.9 – 1.3 %, inter-assay coefficient of variation: 1.2 – 2.3 %), and N-terminal propeptide of type I collagen (P1NP; Cobas 8000 Roche Analyzer, Roche Diagnostics, Switzerland, detection limit: 5 ng/mL; intra-assay coefficient of variation: 1.6 – 3.5 %; inter-assay coefficient of variation: 2.0 – 3.8 %). Cross-linked-C-telopeptide of type I collagen (CTX; Cobas 8000 Roche Analyzer, Roche Diagnostics, Switzerland, detection limit: 0.5 ng/mL; intra-assay coefficient of variation: 1.2 – 4.7 %, inter-assay coefficient of variation: 1.5 – 5.7 %) was the determined bone resorption marker. All analyses were conducted according to standard procedures.

Additionally, the following musculoskeletal markers were evaluated: myostatin (MSTN, colorimetric competitive immunoassay, Immundiagnostik, Bensheim, Germany, limit of blank LoB: 0.370 ng/ml; intra-assay coefficient of variation: <12 %, inter-assay coefficient of variation: <14%, according to manufacturer’s data), follistatin (FSTN, colorimetric sandwich immunoassay, R&D Systems, Minneapolis, USA, MDD range 0.005-0.068 ng/mL; mean MDD 0.016 ng/mL; intra-assay coefficient of variation: <3 %, inter-assay coefficient of variation: <10%, according to manufacturer’s data), sclerostin (SOST, BI-20492, colorimetric sandwich immunoassays, Biomedica, Vienna, Austria; detection limit: 3.2 pmol/l; intra-assay coefficient of variation: ≤7 %, inter-assay coefficient of variation: ≤10%, according to manufacturer’s data), dickkopf 1 (Dkk 1; BI-20412, colorimetric sandwich immunoassays, Biomedica, Vienna, Austria; detection limit: 0.38 pmol/l; intra-assay coefficient of variation: ≤8.0 %, inter-assay coefficient of variation: ≤12.0 %, according to manufacturer’s data), and periostin (PSTN; SEH339Hu, colorimetric sandwich immunoassays, Cloud-Clone-Corp, Houston, USA; detection limit: 0.068 ng/ml; intra-assay coefficient of variation: ≤10 %, inter-assay coefficient of variation: ≤12%, according to manufacturer’s data). Receptor activator nuclear factor kB ligand (RANKL) and osteoprotegerin (OPG) were measured using a commercially available immunoassay from Biomedica, Austria (OPG detection limit: 0.14 pmol/l; intra-assay CV: 4-10%, inter-assay coefficient of variation: 7-8%; RANKL detection limit: 0.08 pmol/l; intra-assay CV: 3-5%, inter-assay coefficient of variation: 6-9%). Serum levels of fibroblast growth factor 23 (FGF23) were determined by an ELISA targeting the C-terminal end of the molecule (Biomedica, Vienna, Austria). The detection limit of the assay is 0.08 pmol/L with an intra-assay coefficient of variation of ≤12%.

The biomarkers were also assessed in a healthy age matched control group without any medication affecting muscle or bone metabolism. All subjects of the control group were part of a previously published population-based cohort [12].

Muscle strength

Hand-held muscle strength measurement has been shown to be a feasible and reliable method for evaluation of muscle strength in dermatomyositis patients with strong intra- and interobserver correlations for all muscle groups [13]. Thus, maximal isometric muscle strength of shoulder abduction (SAb), elbow flexion (EF), elbow extension (EE), hip flexion (HF), and knee extension (KE) was evaluated with the handheld dynamometer Hoggan microFET2 ® (Hoggan Scientific, LLC, Salt Lake City UT, USA). Stabilization specifics used for each muscle action were similar to those performed by Andrews and coauthors [14]. Within 2 seconds the patient tried to reach maximal isometric strength and held that level for another 4-5 seconds. The mean value of the left and right sided maximal strength was used for statistical analysis.

Functional assessment

Physical examination included three different functional tests. The chair rising test (CRT) was used to assess leg power; it measures the time an individual needs to stand up and sit down five times as quickly as possible from a chair of standard height (46 cm seat height) with his/ her arms fold across the chest [15]. Mobility performance was evaluated by the timed up and go test (TUG), a test which measures, in seconds, the time it takes the individual to stand up from a chair, walk a distance of 3m, turn around, walk back to the chair, and sit down again [16]. Completion of both tasks was timed from the beginning of the manoeuvre until the patient was re-seated. To assess functional exercise capacity the distance covered within 3 minutes of walking at self-selected speed corresponding a perceived exertion rate of 13 (“somewhat hard”) on a level course was collected (3-minute walking test; 3MWT) [17].

Statistical analysis

Data are presented as medians and quartiles. Statistical analysis of between group differences concerning BMI and the serum levels of the biochemical markers was performed with the Mann Whitney U test. Spearman’s rank correlation coefficient was used to identify potential associations between FGF23 and biochemical markers, between MSTN and muscle strength as well as physical function, and between maximal muscle strength and physical function. Significance was set at p-values less than 0.05. Statistical analyses were done using the software packages GraphPad Prism 5 (Prism 5 für Windows, Version 5.00, 2007) and SPSS Statistics V21 (SPSS Inc., Chicago, IL, USA, 2012).

Eighteen female and two male DM patients with a median age of 66 [55; 76] years participated in this study. Their disease duration was 6.5 [4.25; 12.5] years. Eight patients were on the traditional medical regimen of glucocorticoid therapy (12.5 [4.7; 15.6] mg/day); half of these patients also received steroid-sparing agents. Twelve patients received intravenous immunoglobulins (IVIG) on a regular basis (2g/kg for 2-5 days every 4 weeks) but except for two all of these 12 patients additionally needed glucocorticoids and/or immunosuppressive therapy. Three patients of the glucocorticoid group and four patients of the IVIG group took bisphosphonates on a regular basis. Twenty healthy controls – 17 females and three males – with a median age of 61 [56; 68] years were included for comparison of musculoskeletal markers. There was no significant difference between the DM and control group with respect to age, BMI, and bone turnover markers. Serum calcium, phosphate, and creatinine were significantly lower in DM patients compared to the control group. However, all median values were within the normal range. Vitamin D was reduced in both groups; the median value was even lower in the control group.

Serum 25OHD levels were reduced. All other basic chemistry parameters as well as bone turnover markers were within the normal range (Table 1). Maximal isometric muscle strength was lower than published reference values for healthy controls of comparable age. The median time needed to perform the CRT was higher than published reference values. Patients needed 9 seconds for the TUG test and managed to cover 240 meters within the 3 minutes’ walk (Table 2).

Table 1 DM patients’ demographic data and biochemical parameters

	DM patients n=20	Control group n=20/ Normative values
Age	66 [55; 76]	61 [56; 68]
BMI	26 [23; 30]	26 [23; 30]
Disease duration	6.5 [4.25; 12.5]	-
Treatment
GC alone	4	-
GC+immunosuppression^#	4	-
IVIG alone	2	-
IVIG+GC/±immunosuppression^##	5	-
IVIG+immunosuppression^##	5	-
CRP [mg/dl]	0.3 [0.1; 0.6]	< 0.5^§
CK [U/l]	133 [63; 173]	< 170^§
Aldolase [U/l]	3.8 [2.5; 5.4]	0-7.6^§
Ca [mmol/l]	2.3 [2.3; 2.4]	2.4 [2.3; 2.6]*
Phosphate [mmol/l]	1.04 [0.94; 1.19]	1.20 [1.08; 1.51]*
Creatinine [mg/dl]	0.74 [0.64; 0.87]	0.86 [0.79; 1.01]*
PTH [pg/ml]	43.2 [33.0; 69.5]	36.0 [15.7; 44.9]
25OHD [nmol/l]	66.7 [50.4; 87.0]	40.7 [26.0; 59.5]*
BAP [U/l]	8.8 [5.9; 12.4]	5.2-24.4^§
OC [ng/ml]	18.8 [10.0; 27.8]	22.3 [15.1; 32.0]
P1NP [ng/ml]	42.0 [29.5; 80.5]	37.7 [28.8; 74.5]
CTX [ng/ml]	0.22 [0.11; 0.50]	0.22 [0.15; 0.33]

CK: creatinine kinase; CRP: C-reactive protein; PTH: parathyroid hormone; 25OHD: 25-OH-Vitamin D; BAP: bone-specific alkaline phosphatase; OC: osteocalcin; P1NP: N-terminal propeptide of type I collagen; CTX: cross-linked-C-telopeptide of type I collagen; median [quartiles]; ^§: normative values are given; * p˂0.05; ^#: methotrexat (n=2), azathioprine (n=1), mycophenolatmofetil (n=1), ^##: methotrexat (n=5), mycophenolatmofetil (n=2), clycophosphamide (n=1), tacrolimus (n=1)

Table 2 DM patients’ physical function

	n=20	Normative values
Shoulder abduction N [N]	80 [71; 107]	114.1±20.2 [18]*
Shoulder abduction D [N]	92 [70; 108]	125.0±25.8[18]*
Elbow flexion N [N]	110 [72; 147]	150.8±26.5[18]*
Elbow flexion D [N]	115 [73; 137]	156.7±29.4[18]*
Elbow extension N [N]	86 [66; 122]	96.6±24.2[18]*
Elbow extension D [N]	81 [62; 113]	96.1±22.9[18]*
Hip flexion N [N]	87 [50; 115]	121.2±21.2[18*]
Hip flexion D [N]	88 [59; 113]	122.7±23.2[18]*
Knee extension N [N]	203 [99; 288]	248.0±66.4[18]*
Knee extension D [N]	207 [77; 281]	257.2±58.0[18]*
CRT [s]	11.8 [7.2; 17.6]	≤ 10 [19]
TUG test [s]	9.0 [5.4; 10.0]	< 10 [20]
3MWT [m]	240 [183; 277]	n.a.

N: nondominant; D: dominant; CRT: chair rising test; TUG timed up and go test; 3MWT: 3 minute walking test; n.a.: not applicable; median [quartiles]; * decade and gender-specific data are given as mean±SD

Group comparison of musculoskeletal markers is shown in Table 3. Serum MSTN und FGF23 levels were significantly higher in DM patients than in controls. DKK 1 was significantly lower in DM patients. Concerning FSTN, SOST, PSTN, and the RANKL:OPG ratio no group-specific differences could be detected.

Correlation analyses revealed a significant positive association between serum levels of FGF23 and aldolase (r=0.563; p<0.05), phosphate (r=0.572; p<0.05), as well as 25OHD (r=0.553; p<0.05). No association could be detected with creatinine kinase. No statistically significant correlations were found between MSTN on one side and muscle strength and physical function on the other side (r ranged from -0.426 to 0.194; p>0.05). Correlations between maximal muscle strength obtained by manual muscle testing and functional tests are shown in Table 4.

Table 3 Musculoskeletal markers of DM patients and controls

	DM (n=20)	Controls (n=20)	p-value
MSTN [ng/ml]	2.5 [1.9; 3.2]	1.9 [1.6; 2.3]	<0.05
FSTN [pg/ml]	1343 [929; 1856]	1232 [1093; 1433]	n.s.
SOST [pmol/l]	28.9 [23.3; 34.4]	28.3 [24.4; 35.7]	n.s.
Dkk 1 [pmol/l]	11.4 [6.9; 20.0]	31.8 [14.3; 50.6]	<0.01
PSTN [ng/ml]	3.2 [2.0; 5.8]	3.6 [2.6; 7.0]	n.s.
RANKL/OPG	0.017 [0.005; 0.055]	0.030 [0.020; 0.048]	n.s.
FGF23 [pmol/l]	2.17 [1.45; 3.26]	1.28 [0.79; 1.96]	<0.05

MSTN: myostatin, FSTN: follistatin, SOST: sclerostin. Dkk 1: dickkopf 1, PSTN: periostin; RANKL: receptor activator nuclear factor kB; OPG: osteoprotegerin; FGF23: fibroblast growth factor 23

Table 4 Correlations – muscle strength and physical function in DM patients

	SAb	EF	EE	HF	KE	CRT	TUG	3MWT
SAb	1	0.791**	0.464*	0.707**	0.739**	-0.572*	-0.583*	0.529*
EF		1	0.782**	0.648**	0.815**	-0.513	-0.513*	0.604*
EE			1	0.565**	0.699**	-0.366	-0.408	0.482*
HF				1	0.788**	-0.729**	-0.748**	0.788**
KE					1	-0.651**	-0.680**	0.633**
CRT						1	0.910**	-0.841**
TUG							1	-0.868**
3MWT								1

SAb: shoulder abduction; EF: elbow flexion; EE: elbow extension: HF: hip flexion; KE: knee extension; 3MWT: 3 minute walking test; CRT: chair rising time; TUG: timed up and go test; * p<0.05; ** p<0.01

This is the first study evaluating myokines and osteokines potentially involved in musculoskeletal disturbances of DM patients. It revealed elevated MSTN and FGF23 serum levels as well as reduced levels of DKK 1.

This investigation’s finding of higher MSTN levels in DM patients compared to controls is in contrast to one study evaluating different myositis subtypes. Vernerova et al [9] could not reveal significant differences in serum levels of MSTN in their DM patients compared to healthy controls. However, comparison between these two studies is difficult because characteristics of patients are only given for the whole group of idiopathic inflammatory myopathy patients; no separate data of the included DM patients are shown. Potentially important discrepancies between the study populations are the following: Disease duration of our study’s patients was much longer (median: 6.5 years vs. mean: 1.04 years) but inflammation - expressed as CRP and CK - was lower. The negative correlation between MSTN and CRP shown by Vernerova et al [9] goes in line with the fact that our patients with a lower degree of inflammation had higher serum levels of MSTN.

Considering elevated MSTN levels one would suspect MSTN as a good therapeutic target. However, in several neuromuscular diseases, downregulation of the MSTN pathway has only partially been successful [18-20]. Wagner [21] outlined very well different reasons why MSTN inhibition did not hold what preclinical data promised in muscular dystrophy. One point was concomitant prednisolone treatment. The median glucocorticoid dose of this study’s GC group was 12.5mg per day and almost half of the IVIG patients additionally needed glucocorticoids. It is known that glucocorticoids stimulate muscles’ production of MSTN [22]. Thus, increased MSTN levels in long-term DM patients may be caused by irreversible muscle damage and/or reduced muscle mass.

This study’s patients had a long disease duration but a low level of inflammation indicated by median values of CRP, CK, and aldolase within the normal range. However, even chronic low-grade inflammation is associated with loss of muscle mass and reduced ability to carry out physical activities. Muscle strength was lower than reference values for healthy subjects. A look at the results of functional assessment gives the impression that physical activity was probably only marginally limited. The association between MSTN and physical function has been investigated in a few studies. Arrieta H et al [23] evaluating very old and frail people observed lower levels of MSTN in frail women whereas two studies [24, 25] investigating younger and less limited subjects found elevated serum levels of MSTN in physically frail women. In line with the last two studies, this investigation’s DM patients with a median age of 66 years and deficits in muscle strength and physical function had higher MSTN levels than healthy controls. Interestingly FSTN, the antagonist of MSTN was alike to the control group. This finding is in line with the DM subjects investigated by Vernerova et al [9] and emphasizes the relevance of MSTN.

Up to now, no data on regulators of the Wnt signalling pathway have been investigated in inflammatory myopathies. This study’s results of decreased DKK 1 levels and no group-specific difference of SOST are in accordance with our previous study on RA patients in remission [26]. The reduced and normal levels of the Wnt inhibitors, respectively, foreclose a reduction of bone formation. This assumption is corroborated by the fact that the markers of bone formation were in the normal range. It should also be mentioned that Dkk1 is not as bone specific as SOST because it is expressed in other tissues as well.

Since PSTN levels were like the control group one can assume that these long-term DM patients were well treated and did not have an elevated risk of fragility fractures. This is underlined by normal values of the BTMs and vitamin D. Additionally, some patients took a bone-specific medication.

The RANKL:OPG ratio did not show a significant difference between DM patients and controls. At the time of diagnosis children with juvenile DM had an increased RANKL:OPG ratio [27]. However, another study investigating juvenile DM patients on glucocorticoid therapy with a mean disease duration of 46 months could not detect a difference of the RANKL:OPG ratio compared to healthy controls [28]. Patients participating in this study received IVIG and/ or glucocorticoids - treatments with contrary effects on bone metabolism. Glucocorticoids suppress OPG and increase RANKL expression [29] whereas IVIG is supposed to inhibit osteoclastogenesis by supressing RANKL signalling [30].

We for the first-time evaluated serum FGF-23 in dermatomyositis and related the serum levels to parameters of clinical chemistry and disease activity. Normal values of the clinical chemistry parameters indicated that there was no disturbance in our patients’ phosphate metabolism or renal function. The positive correlation between aldolase and FGF23 indicates that despite the fact of relatively low serum markers of current disease activity, prevalent residual activity of the disease influenced the expression of FGF23. In vitro and experimental studies have shown that pro-inflammatory stimuli increase serum levels of FGF23 [31, 32]. Correlations with inflammatory markers have also been reported in several different inflammatory diseases (for review see [33]) including rheumatoid arthritis - in one of two studies investigating such patients [34, 35]. Therefore, elevated FGF23 levels detected in this study may be caused by DM associated inflammation. Since this study’s patients did not show a highly active disease, patients’ intake of glucocorticoids may also be relevant for the changes in FGF 23 expression. In their investigation Sato and co-authors could not detect a correlation of FGF23 with glucocorticoid doses [34] in rheumatoid arthritis. Nevertheless, an experimental study showed that the release of FGF23 is upregulated by the exposure to deoxycorticosterone acetate [36]. Correlation analyses showed a positive association of FGF23 with serum levels of phosphate, and 25OHD. That fits well with the central role of FGF23 in the regulation of phosphate balance. No data on a potential effect of IVIG therapy on FGF23 exist.

Compared to the mean normative values published by Andrews et al (1996) [14] median maximal isometric muscle strength in our long-term DM patients was reduced. That is in line with two of three previous studies [37-39] and is most likely caused by the disease associated muscle damage. We have shown that this low muscle strength can be improved by exercise without a negative effect on inflammation [40]. The increased time needed for the CRT certainly is an expression of the reduced leg power caused by muscle damage as well. As our patients managed the TUG test within the normal time limit, they performed better than juvenile DM patients investigated by Berntsen et al [41]. The median distance covered during the 3MWT was 240m. Unfortunately, no reference values exist for this test which is related to maximal oxygen uptake [17] but results obtained in this study were better than in a study investigating clinically stable patients with chronic obstructive pulmonary disease (COPD) [42]. A lack of difference in the 6MWT in inactive inflammatory myopathies [43] and inactive juvenile DM [41] has been shown. All muscle strength tests showed a positive moderate to high correlation with each other. As expected, the CRT and the TUG test correlated negatively whereas the 3 MWT correlated positively with the muscle strength measurements. Physical function tests were highly to very highly associated with each other.

There are several limitations to this study. An aspect we could not meet is the evaluation of the different effects of IVIG and glucocorticoids on muscle and bone metabolism. The sample size was too small and pursuing the goal of steroid reduction therapy was heterogeneous. Thus, it was not possible to split the study collective for further statistical analyses. Since our control group was part of a previously published population-based cohort, it was not possible to evaluate muscle strength in the control group. However, muscle strength reference values for healthy controls of comparable age may be even more reliable than data evaluated from a small control group. Biochemical evaluation of inflammation was used instead of a disease-specific activity assessment tool. Additionally, the latest classification criteria [44] were not applied in this study as the patients were recruited before their publication. Anyhow, retrospective analysis revealed that all included patients also fulfilled the EULAR/ACR classification criteria for idiopathic inflammatory myopathies and the classification tree for DM according to Lundberg and co-authors [44].

We conclude that in patients with long-term dermatomyostis serum levels of myostatin and FGF23 are increased. The study also showed that biochemical musculo-skeletal markers as well as functional tests reflect, independent of each other, different deficits in long-term DM patients.

DM: dermatomyositis; CK: creatinine kinase; CRP: C-reactive protein; PTH: parathyroid hormone; 25OHD: 25-OH-Vitamin D; BAP: bone-specific alkaline phosphatase; OC: osteocalcin; P1NP: N-terminal propeptide of type I collagen; CTX: cross-linked-C-telopeptide of type I collagen; MSTN: myostatin, FSTN: follistatin, SOST: sclerostin. Dkk 1: dickkopf 1, PSTN: periostin; RANKL: receptor activator nuclear factor kB; OPG: osteoprotegerin; FGF23: fibroblast growth factor 23; N: nondominant; D: dominant; CRT: chair rising test; TUG timed up and go test; 3MWT: 3 minute walking test; n.a.: not applicable; SAb: shoulder abduction; EF: elbow flexion; EE: elbow extension: HF: hip flexion; KE: knee extension

Acknowledgements

We thank Maria-Alexia Woditsch for her help in data assessment.

Authors’ contributions

Authors KKS, WG, CB, PP had a substantial contribution to study conception and design. All authors had a substantial contribution to analysis and interpretation of data, and drafting the article or revising it critically. All authors read and approved the final manuscript.

Funding

This study was supported by a grant from the Austrian Society of Bone and Mineral Research.

Availability of data and materials

The datasets of the current study are available from the corresponding author on reasonable request.

Ethics approval and consent to participate

Ethical approval for this study was obtained from the regional ethics review board and written informed consent was obtained from each patient.

Consent for publication

Not applicable.

Competing interests

Peter Pietschmann has received research support and/or honoraria from Amgen GmbH, Biomedica GmbH, DePuySynthes, Eli Lilly GmbH, Fresenius Kabi Austria, Meda Pharma/Mylan GmbH, Shire Austria GmbH, TAmiRNA GmbH and UCB Pharma. All other authors have no conflicts of interest.

Lundberg IE. Idiopathic inflammatory myopathies: why do the muscles become weak? Curr Opin Rheumatol. 2001;13(6):457-60.
Coley W, Rayavarapu S, Pandey GS, Sabina RL, Van der Meulen JH, Ampong B, et al. The molecular basis of skeletal muscle weakness in a mouse model of inflammatory myopathy. Arthitis & Rheumatism. 2012;64(11):3750-9.
De Andrade DC, de Magalhaes Souza SC, de Carvalho JF, Takayama L, Borges CT, Aldrighi JM, et al. High frequency of osteoporosis and fractures in women with dermatomyositis/polymyositis. Rheumatol Int. 2012;32(6):1549-53.
Lee CWS, Muo CH, Liang JA, Sung FC, Hsu CY, Kao CH. Increased osteoporosis risk in dermatomyositis or polymyositis independent of the treatments: a population-based cohort study with propensity score. Endocrine. 2016;52(1):86-92.
Mageriu V, Manole E, Bastian AE, Staniceanu F. Role of myokines in myositis pathogenesis and their potential to be new therapeutic targets in idiopatic inflammatory myopathies. J Immunol Res 2020;2020:9079083. doi: 10.1155/2020/9079083.
Ramli FF, Chin KY. A Review of the Potential Application of Osteocyte-Related Biomarkers, Fibroblast Growth Factor-23, Sclerostin, and Dickkopf-1 in Predicting Osteoporosis and Fractures. Dignostics 2020; 10(3):145. doi: 10.3390/diagnostics10030145.
Garnero P. New developments in biological markers of bone metabolism in osteoporosis. Bone. 2014:66:46-55.
Rauner M, Sipos W, Pietschmann P. Osteoimmunology. Int Arch Allergy Immunol. 2007;143(1): 31-48.
Vernerova L, Horvathova V, Kropackova T, Vokurkova M, Klein M, Tomivik M, et al. Alterations in activing A-myostatin-follistatin system associate with disease activity in inflammatory myopathies. Rheumatology 2020; 59:2491-2501.
Bohan A, Peter JB. Polymyositis and dermatomyositis (first of two parts). NEJM 1975;292(7):344-7.
Bohan A, Peter JB. Polymyositis and dermatomyositis (second of two parts). NEJM 1975;292(8):403-7.
Kudlacek S, Schneider B, Woloszczuk W, Pietschmann P, Willvonseder R; Austrian Study Group on Normative Values of Bone Metabolism. Serum levels of osteoprotegerin increase with age in a healthy adult population. Bone. 2003; 32(6):681-6.
Stoll T, Brühlmann P, Stucki G, Seifert G, Seifert B, Michel BA. Muscle strength assessment in polymyositis and dermatomyositis evaluation of the reliability and clinical use of a new, quantitative, easily applicable method. J Rheumatol. 1995;22(3): 473-7.
Andrews AW, Thomas MW, Bohannon RW. Normative values or isometric muscle force measurements obtained with hand-held dynamometers. Physical Therapy 1996;76(3):248-59.
Guralnik JM, Ferrucci L, Simonsick EM, Salive ME, Wallace RB. Lower extremity function over the age of 70 years as a predictor of subsequent disability. NEJM. 1995;332(9):556-61.
Podsiadlo D, Richardson S. The timed "Up & Go": a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc. 1991;39(2):142-8.
Cao ZB, Miyatake N, Aoyama T, Higuchi M, Tabata I. Prediction of maximal oxygen uptake from a 3-minute walk based on gender, age, and body composition. J Phys Act Health 2013;10(2):280-7.
Amato AA, Sivakumar K, Goyal N, David WS, Salajegheh M, Praestgaard J, et al. Treatment of sporadic inclusion body myositis with bimagrumab. Neurology 2014; 83(24):2239:46.
Mendell JR, Sahenk Z, Al-Zaidy S, Rodino-Klapac LR, Lowes LP, Alfanop LN, et al. Follistatine gene therapy for sporadic inclusion body myositis improves functional outcomes. Mol Ther 2017;25(4):870-9.
Mariot V, Joubert R, Hourde C, Feasson L, Hanna M, Muntoni F, et al. Downregulation of myostatin pathway in neuromuscular diseases may explain challenges of anti-myostatin therapeutic approaches. Nat Commun 2017;8(1):1859.doi: 10.1038/s41467-017-01486-4.
Wagner KR. The elusive promise of myostatin inhibitor for muscular dystrophy. Current opinion Neurol 2020;33(5):621-8.
Schakman O, Kalista S, Barbe C, Loumaye A, Thissen JP. Glucocorticoid-induced skeletal muscle atrophy. Int J Biochem Cell Biol. 2013;45(10):2163-72.
Arrieta H, Rezola-Pardo C, Echeverria I, Iturburu M, Gi SM, Yanguas J, et al. Physical activity and fitness are associated with verbal memory, quality of life and depression among nursing home residents: preliminary data of a randomized controlled trial BMC Geriatr 2018; 18(1): 80.
Schulte JN & Yarasheski KE. Effects of resistance training on the rate of muscle protein synthesis in frail elderly people. Int J Sport Nutr Exerc Metab 2001; Suppl: S111-8.
Yarasheski KE, Bhasin S, Sinha-Hikim I, Pak-Loduca J, Gonzalez-Cadavid NF. Serum myostatin-immunoreactive protein is increased in 60-92 year old women and men with muscle wasting. J Nutr Health Aging. 2002;6(5): 343-8.
Kerschan-Schindl K, Ebenbichler G, Föger-Samwald U, Leiss H, Gesslbauer C, Herceg M, et al. Rheumatoid arthritis in remission: Decreased myostatin and increased serum levels of periostin. Wien Klin Wochenschr. 2019;131(1-2): 1–7.
Rouster-Stevens KA, Langman CB, Prince HE, Seshadri R, Shore RM, Abbott K, et al. RANKL:osteoprotegerin ratio and bone mineral density in children with untreated juvenile dermatomyositis. Arthritis Rheum. 2007;56(3):977-83.
Santiago RA, Silva CAA, Caparbo VF, Sallum AME, Pereira RMR. Bone mineral apparent density in juvenile dermatomyositis: the role of lean body mass and glucocorticoid use. Scan J Rheumatol. 2008;37(1):40-7.
Komori T. Glucocorticoid signaling and bone biology. Horm Metab Res. 2016;48(11):755-63.
Lee MJ, Lim E, Mun S, Bae S, Murata K, Ivashkiv LB, et al. Intravenous immunoglobulin (IVIG) attenuates TNF-induced pathologic bone resorption and suppresses osteoclastogenesis by inducing A20 expression. J Cell Physiol. 2016;231(2):449-58.
Ito N, Wijenayaka AR, Pideaux M, Kogawa M, Omsby T, Evdokiou A, et al. Regulation of FG23 expression in IDG-SW3 osteocytes and human bone by pro-inflammatory stimuli. Molecular and Cellular Endocrinol. 2015;399:208-18.
David V, Martin A, Isakova T, Spaulding C, Qi L, Ramirez V, et al. Inflammation and functional iron deficiency regulate fibroblast growth factor 23 production. Kidney Int. 2016;89(1):135-46.
Francis C, David V. Inflammation regulates fibroblast growth factor 23 production. Curr Opin Nephrol Hypertens. 2016;25(4):325-32.
Sato H, Kazama JJ, Murasawa A, Otani H, Abe A, Ito S, et al. Serum fibroblast growth factor 23 (FGF23) in patients with rheumatoid arthritis. Intern Med. 2016;55(2):121-6.
Alvarez-Cienfuegos A, Cantero-Nieto L, Garcia-Gomez JA, Robledo G, Gonzalez-Gay MA, Ortego-Centeno N. FGF23-Klotho axis in patients with rheumatoid arthrits. Clin Exp Rheumatol. 2020;38(1):50-7.
Zhang B, Umbach AT, Chen H, Yan J, Fakhri H, Fajol, et al. Up-regulation of FGF23 release by aldosterone. Biochemical and Biophysical Research Communications. 470(2):384-90.
Wiesinger G, Quittan M, Nuhr M, Volc-Platzer B, Ebenbichler G, Zehetgruber M, et al. Aerobic capacity in adult dermatomyositis/polymyositis patients and healthy controls. Arch Phys Med Rehabil. 2000;81(1): 1-5.
Regardt M, Henriksson EW, Alexanderson, Lundberg IE. Patients with polymyositis or dermatomyositis have reduced grip force and health-related quality of life in comparison with reference values: an observational study. Rheumatology. 2011;50(3): 578-85.
Bronner IM, van der Meulen MFG, de Visser M, Kalmijn S, van Venrooij, Voskuyl AE, et al. Long-term outcome in polymyositis and dermatomyositis. Ann Rheum Dis. 2006:65(11): 1456-61.
Wiesinger G, Quittan M, Graninger M, Seeber A, Ebenbichler G, Sturm B, et al. Benefit of 6 months long-term physical training in polymyositis/dermatomyositis patients. Br J Rheumatol. 1998;37(12):1338-42.
Berntsen KS, Tollisen A, Schwartz T, Kirkhus E, Aalokken TM, Lund MB, et al. Submaximal exercise capacity in juvenile dermatomyositis after longterm disease: the contribution of muscle, lung, and heart involvement. J Rheumatol. 2017;44(6):827-34.
Iriberri M, Galdiz JB, Gorostiza A, Ansola P, Jace C. Comparison of the distances covered during 3 and 6 min walking test. Respir Med. 2002;96(10):812-6.
Mugii N, Someya F. Cardiopulmonary factors affecting 6-min walk distance in patients with idiopathic inflammatory myopathies. Rheumatol Int 2018;38(8):1443-8.
Lundberg IE, Tjärnlund A, Bottai M, Werth VP, Pilkington C, de Visser M, et al. EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups. Ann Rheum Dis 2017; 76(12):1955-64.

Download PDF

Journal Publication

published 05 Feb, 2021

Read the published version in BMC Musculoskeletal Disorders →

Editorial decision: Minor revision
26 Nov, 2020
Reviewer #2 agreed at journal
10 Nov, 2020
Reviewers invited by journal
10 Nov, 2020
Reviewer #1 agreed at journal
10 Nov, 2020
Review #1 received at journal
10 Nov, 2020
Review #2 received at journal
10 Nov, 2020
Editor assigned by journal
09 Nov, 2020
Submission checks completed at journal
09 Nov, 2020
Editor invited by journal
09 Nov, 2020

You are reading this older preprint version

Read the latest preprint version →

Myostatin and Markers of Bone Metabolism in Dermatomyositis

Status:

Journal Publication

Version 2

Abstract

Background

Methods

Results

Discussion

Conclusion

Abbreviations

Declarations

References

Status:

Journal Publication

Version 2