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High YKL-40 serum levels and its expression in the muscle tissues of patients with antisynthetase syndrome

Abstract

Background

The protein chitinase-3-like-1 (YKL-40) is rarely analyzed in patients with myositis. Therefore, we aimed to evaluate YKL-40 serum levels; correlate them with laboratory and clinical parameters, disease status, and treatment schemes; and analyze the YKL-40 expression in the muscle tissues of patients with antisynthetase syndrome (ASSD).

Methods

This cross-sectional single-center study included 64 adult patients with ASSD who were age-, gender-, and ethnicity-matched to 64 healthy control individuals. Their YKL-40 serum levels were analyzed using the Enzyme-Linked Immunosorbent Assay (ELISA) kit method, while YKL-40 expression in muscle tissues was analyzed using an immunohistochemical technique. Disease status was assessed using the International Myositis Assessment and Clinical Studies Group (IMACS) set scores.

Results

The patients’ mean age was 44.8 ± 11.8 years, and median disease duration was 1.5 (0.0–4.0) years. These patients were predominantly female (82.8%) and Caucasian (73.4%). Most patients had stable disease. The median YKL-40 serum level was significantly higher in patients with ASSD when compared to the healthy individuals: 538.4 (363.4–853.1) pg/mL versus 270.0 (201.8–451.9) pg/mL, respectively; P < 0.001. However, YKL-40 serum levels did not correlate with any clinical, laboratory, disease status, or therapeutic parameters (P > 0.050), except tumor necrosis factor alpha (TNF-α) serum levels (Spearman’s correlation, rho = 0.382; P = 0.007). YKL-40 was highly expressed by inflammatory cells found in muscle biopsy specimens.

Conclusions

High YKL-40 serum levels were observed in patients with ASSD and correlated positively with TNF-α serum levels. Moreover, YKL-40 was expressed by the inflammatory cells of the muscle tissue.

Introduction

Antisynthetase syndrome (ASSD) is a rare systemic autoimmune myopathy characterized by muscle, joint, and pulmonary involvement, as well as by the presence of fever, “mechanic’s hands,” and Raynaud’s phenomenon [1,2,3,4]. In the laboratory, the ASSD is characterized by the presence of anti-aminoacyl-tRNA synthetase autoantibodies, such as anti-Jo-1 [1, 2].

The protein chitinase-3-like-1 (YKL-40) is a glycoprotein secreted by inflammatory cells, including macrophages and neutrophils [5, 6]. YKL-40 is associated with several physiological processes, such as inflammation, cell proliferation, angiogenesis, tissue fibrosis, and tissue remodeling [7]. YKL-40 also participates in a wide range of inflammatory responses, also stimulating the production of pro-inflammatory cytokines (e.g., IL-6, IL-18, and tumor necrosis factor alpha [TNF-α]), which are capable of increasing YKL-40 serum levels as a feedback mechanism [8, 9].

High YKL-40 serum levels have been described in osteoarthritis [10] and in several systemic autoimmune diseases, such as rheumatoid arthritis [11,12,13,14], giant cell arteritis [15], systemic sclerosis [16, 17], Takayasu’s arteritis [18], and systemic autoimmune myopathies [19,20,21].

In rheumatoid arthritis, YKL-40 serum levels are not only increased but also correlate positively with the disease activity [11,12,13]. However, YKL-40 is not associated with radiographic progression or predictive values for disease remission [14]. In patients with systemic sclerosis, YKL-40 serum levels correlate mainly with joint involvement [16], lung involvement (fibrosis or reduction in the diffusing capacity for carbon monoxide [DLCO]), digital articular deformities through cutaneous retraction, and reduced patient survival [17]. High YKL-40 serum levels are also described in patients with dermatomyositis and polymyositis, correlating with the disease activity and severity and with pulmonary involvement [19,20,21].

However, no studies have assessed YKL-40 serum levels exclusively in patients with ASSD, which was the primary motivation for this study. We aimed to correlate YKL-40 serum levels with clinical and laboratory parameters, disease status, and therapeutic schemes, as well as to analyze the YKL-40 expression in muscle tissue specimens from patients with ASSD.

Patients and methods

This cross-sectional single-center study took place from 2017 to 2019 and included 66 adult patients with ASSD followed up at the outgoing clinic of our service. All patients fulfilled the modified ASSD criteria classification proposed by Connors et al. [1], but with modifications to increase its specificity, including the presence of at least two of the following three manifestations: muscle, joint, and lung involvement; and in addition to persistent fever; Raynaud’s phenomenon; “mechanic’s hands;” and the presence of serum anti-aminoacyl-tRNA synthetase autoantibody.

Muscle involvement was defined as the presence of progressive and proximal limb muscle weakness, increased serum levels of muscle enzymes, such as creatine phosphokinase (CPK), myopathic pattern on electroneuromyography, and muscle biopsy compatible with inflammatory myopathy. Joint involvement was defined as non-deforming and non-erosive arthritis or arthralgia. Additionally, as part of the internal protocol of our service, patients underwent computed tomography (CT) chest scans at disease onset and during follow-up. In this study, lung involvement was defined as the presence of incipient pneumopathy, pulmonary nodules, ground-glass opacities with or without bronchiectasis, and pulmonary fibrosis (e.g., honeycombing areas).

A commercially available line blot test kit (Myositis Profile Euroline Blot test kit, Euroimmun, Lübeck, Germany) was used to identify anti-aminoacyl-tRNA synthetase autoantibodies (anti-Jo-1, anti-EJ, anti-OJ, anti-PL-7, anti-PL-12, and anti-Ro-52). The assessment was performed according to previously established methods [22]. The immunological patterns evaluated were antinuclear antibodies (ANA) detected by an indirect immunofluorescence technique on HEp-2 cells.

We excluded pregnant patients and those with other systemic autoimmune diseases (overlap syndrome), chronic or acute infection, neoplasia-associated myositis, and uncontrolled and serious comorbidities (e.g., liver disease, nephropathy, and heart disease). Observing the internal protocol of our service, a screening for neoplasms and other lung diseases was performed in all cases of myopathies.

The following pre-standard and pre-parameterized data were collected from the patients’ interviews: demographic information (current age, gender, ethnicity), clinical information (disease duration; muscle, pulmonary, and joint involvement; Raynaud’s phenomenon; presence of fever; and “mechanic’s hands”), laboratory findings (serum levels of CPK, lactate dehydrogenase, aspartate aminotransferase, alanine aminotransferase), disease status, treatment (immunosuppressive, immunomodulatory, and glucocorticoid therapies), and comorbidities. Moreover, on the interview day, blood samples (20 mL) were taken for laboratory analysis after an eight-hour fasting.

Current clinical and laboratory disease status was assessed by applying the following questionnaires and International Myositis Assessment & Clinical Studies Group (IMACS) scores: Myositis Disease Activity Assessment Visual Analogue Scales (MYOACT) [23, 24], Manual Muscle Testing (MMT-8) [25], overall disease assessment by a physician and by the patient using a visual analogue scale (VAS) [26], and the Health Assessment Quality (HAQ) [27].

Pulmonary assessment was performed using chest CT images. The following parameters were investigated: incipient pneumopathy, ground-glass opacities with or without bronchiectasis, pulmonary nodules, and pulmonary fibrosis (honeycombing areas) [1, 28, 29]. All chest CT images were analyzed independently by the two authors of the present study, who are experienced in connective tissue diseases (RCSC and GLBP). In case of disagreement between them, the images were discussed with radiology groups from our institute.

Chest CT images obtained during a period ranging from six months before to six months after the patients’ participation were included in this study. When possible, the pulmonary assessment was supplemented by a pulmonary function test that considered the forced expiratory volume in one second (FEV1), forced vital capacity (FVC), FEV1/FVC ratio, and DLCO.

The patients with ASSD were gender-, age-, and ethnicity-matched to healthy control individuals (patients’ relatives or employees of our service) selected for convenience. All laboratory tests were performed on the control group, and they were asked to answer all interview questions, except those related to the disease data.

For the cytokine assessment, the material was centrifuged at 3000 rpm for 10 min immediately after blood collection (< 30 min), and the sera were aliquoted and stored at − 80 °C for further cytokine analysis. The YKL-40 quantification was performed using a specific kit (Human CHI3L1 ELISA kit, RayBiotech, USA) and processed following the manufacturer’s protocol. The interferon gamma (IFN-γ) and TNF-α tests were performed using the LUMINEX 100/200x xMAP technology (Millipore, USA), as described elsewhere [30].

Additionally, the YKL-40 expression and location were assessed in muscle tissues of three patients with ASSD, whose biopsies were taken from the vastus lateralis muscle upon diagnosis. Sequential 5-μm thick frozen sections were first stained by hematoxylin-eosin and, then, immunohistochemistry was performed. For immunohistochemical analysis, monoclonal antibodies (CD4, CD8, CD68, and YKL-40: Abcam, USA) were used. Frozen specimens were fixed for 10 min in acetone at 4 °C. Endogenous peroxidase was blocked using 1% H2O2 in absolute methanol three times for 10 min. After rinsing the specimens in phosphate buffered saline (PBS) (0.01 M, pH 7.4) for five minutes, these were incubated in fetal serum in a wet chamber for one hour at 37 °C. Primary antibodies were diluted in PBS and albumin from 1% bovine serum was applied in wet chamber at 37 °C overnight. Next, slides were washed in PBS and a secondary mouse biotinylated solution (StreptABComplex/HRP) was applied for 30 min at 37 °C and rinsed in PBS. Then, the prepared StreptABComplex/HRP complex was applied and incubated for 30 min at 37 °C. After rinsing in PBS and incubation, the reactions were visualized using a solution of chromogenic substrate (3,3′-diaminobenzidine tetrahydrochloride) for peroxidase. After a final rinse, hematoxylin counterstaining was performed. The slides were then mounted and covered with an aqueous-based mounting medium. All muscle specimens were prepared at the same time as a batch. Human amygdala was used as a positive control, while a muscle specimen from a patient with ASSD, but whose biopsy results were normal (without infiltrate inflammation), was used as a negative control. Inflammatory cell phenotyping (CD4, CD8, CD68, and YKL-40) was analyzed in the endomysium, perimysium, and pericapillary (endomysium and perimysium) areas in 10 fields (200x magnification).

For statistical analysis, the Kolmogorov-Smirnov test was used to assess each parameter distribution. The clinical and demographic characteristics were expressed as mean ± standard deviation (SD), for continuous variables, or as frequencies and percentages (%), for categorical variables. The median (interquartile 25th to 75th) was calculated for continuous variables that did not have a normal distribution. Comparisons between patient and control parameters were made using the Mann-Whitney test and Student t-test for continuous variables, while the Fisher’s exact test or chi-square test were used to assess categorical variables. Spearman’s correlation was used for analyzing the correlation (rho) between continuous variables and YKL-40 values. Values between 0 and ± 0.333 were considered weak; values between ±0.333 and ± 0.666 were considered moderate; and those between ±0.666 and ± 1.000 were considered strong.” The relation between YKL-40 values and other variables (identified as the presence or absence of a certain characteristics) was performed using the Student t-test. To analyze the factors that together influence YKL-40, a multiple regression was performed considering all variables with P value < 0.10 as explanatory and the value of YKL-40 as dependent. A value of P < 0.05 was adopted to indicate statistical significance. All analyses were performed using the statistical software SPSS version 22.0 (Chicago, IL, USA).

Results

Sixty-six patients with ASSD were initially included in the present study. Two patients were excluded, one due to overlap and the other due to neoplasia-associated myositis. No patients had acute or chronic infection, were pregnant, or had severe and decompensated comorbidities. Therefore, 64 patients with ASSD were evaluated and age-, gender-, and ethnicity-matched to 64 healthy controls (Fig. 1).

Fig. 1
figure1

Study flowchart. ASSD: antisynthetase syndrome

The mean age of the 64 patients with ASSD and of the 64 control individuals was 44.8 ± 11.8 years and 42.6 ± 10.4 years, respectively (P = 0.278), with a predominance of females (82.8% versus 82.8%, P > 0.999), and Caucasians (73.4% versus 73.4%, P > 0.999) in both groups. The median ASSD disease duration was 1.5 (0.0–4.0) years.

The initial and cumulative clinical manifestations, autoantibody panels, and comorbidities of patients with ASSD are shown in Table 1.

Table 1 Cumulative clinical manifestations, autoantibody panels, initial creatine phosphokinase serum levels, and comorbidities of the patients with antisynthetase syndrome

The current disease status of patients with ASSD at the time of inclusion in this study, lung parameters, and treatments are shown in Table 2.

Table 2 Demographic, current disease status, pulmonary involvement, treatment, and the cytokines serum levels of the patients with antisynthetase syndrome. Laboratory profiles of the control group

YKL-40 serum levels were significantly higher in patients with ASSD when compared to the control group: 538.4 (363.4–853.1) pg/mL versus 270.0 (201.8–451.9) pg/mL, respectively; P < 0.001 (Table 2). Additionally, a significant increase in TNF-α levels was observed in patients with ASSD compared to the control group: 48.4 (31.0–66.3) pg/mL versus 39.6 (29.3–49.0) pg/mL; P = 0.011. IFN-γ serum levels were comparable in both groups.

Concerning demographic, clinical, laboratory, treatament, and comorbidity parameters, YKL-40 serum levels had correlation with patients’ age (rho = 0.294; P = 0.040), TNF-α (rho = 0.382; P = 0.007), and current use of prednisone (P < 0.047) - Tables 3 and 4. However, in multivariate analysis, only TNF-α levels had significant factor to predict the YKL-40 values (Table 5).

Table 3 Correlation between YKL-40 serum levels and continuous variables (demographic, clinical, laboratory and lung parameters, and disease status) of the patients with antisynthetase syndrome
Table 4 Relation between YKL-40 serum levels and others variables (demographic, clinical, laboratory and lung parameters, disease status, and comorbidities) of the patients with antisynthetase syndrome
Table 5 Multivariate analysis

Concerning the immunohistochemical analysis, YKL-40 was expressed by inflammatory cells. Figure 2 shows a muscle biopsy specimen from a patient with ASSD.

Fig. 2
figure2

Expression of YKL-40 in a muscle specimen from a patient with antisynthetase syndrome. Positive immunohistochemistry reaction of (A) YKL-40, (B) YKL-40*; (D) CD68, (E) CD4, and (F) CD8. Magnification is 200x or 400x*. As a negative control of YKL-40 (C), a specimen from a patient with antisynthetase syndrome, but without infiltrate inflammation

Discussion

To the best of our knowledge, this study is the first to show the relevance of YKL-40 in patients with ASSD. High YKL-40 serum levels were observed in patients with ASSD and correlated positively with TNF-α serum levels. Besides, YKL-40 was expressed by inflammatory cells in muscle tissues.

Although ASSD is a rare disease, this study employed strict inclusion criteria to increase the specificity in the selection of the involved patients. In this context, a significant sample was included and paired by age, gender, and ethnicity with healthy individuals, thus allowing for greater accuracy in comparative outcomes. Finally, information on patients was based on parameterized and pre-standardized data to ensure reliable study data.

High YKL-40 expression is described in the pathogenesis of a number of diseases, and its utility as a biomarker has been the subject of several studies [8,9,10,11,12,13,14,15,16,17,18]. Biologically, YKL-40 can stimulate angiogenesis and a wide range of responses, such as inflammation, tissue remodeling, and allergic reactions. These responses are often mediated by other cytokines (e.g., IL-6, IL-18, and TNF-α), which can regulate the YKL-40 secretion [8, 9].

YKL-40 is seldom described in studies regarding systemic autoimmune myopathies [19,20,21]. In this context, Hozumi et al. [19] showed high YKL-40 serum levels in patients with dermatomyositis and polymyositis with associated interstitial lung disease, and YKL-40 serum levels were associated with a worse prognosis. Furthermore, the authors correlated YKL-40 levels negatively with DLCO and arterial oxygen pressure (PaO2), finding a high expression of YKL-40 in alveolar macrophages and bronchial epithelial cells. Notably, the authors found that 42% of their patients had positive anti-aminoacyl-tRNA synthetase autoantibodies. Therefore, they might have included patients with ASSD and not necessarily pure dermatomyositis and polymyositis cases with associated interstitial lung disease. Additionally, patients with neoplasm associated myositis were included.

Gao et al. [20] also observed high YKL-40 serum levels in patients with dermatomyositis and polymyositis, which correlated positively with interstitial lung disease and with the disease activity and severity evaluated via MYOACT, C-reactive protein, ferritin, and erythrocyte sedimentation rates. However, the authors did not analyze anti-aminoacyl-tRNA synthetase autoantibodies in their patients.

Jiang et al. [21] observed a positive correlation between YKL-40 serum levels and patients with clinically amyopathic dermatomyositis and positive anti-MDA-5, especially in those with severe interstitial lung disease.

In our study, high YKL-40 serum levels were also observed in patients with ASSD. However, YKL-40 did not correlate with any clinical and laboratory parameters, disease status, or therapeutic schemes. There was also no correlation with any pulmonary parameters (e.g., patient’s lung symptoms, chest CT images, and pulmonary function tests). Since this was a cross-sectional analysis, a prospective analysis of these parameters would be interesting.

To analyze disease status, Hozumi et al. [19] used variables such as ferritin, KL-6 (Krebs von den Lungen-6), SP-D (surfactant protein-D), PaO2, and DLCO, while Jiang et al. [21] used ferritin, CPK, T CD3+ cell count, C-reactive protein, FVC, and DLCO. In contrast, we used the IMACS set scores, which validated instruments for clinical evaluation in systemic autoimmune myopathies [23,24,25,26,27].

Unlike limited studies regarding YKL-40 in myositis, a limitation of our study was the fact that we did not specifically analyze the YKL-40 expression in lung biopsy specimens. Nonetheless, the YKL-40 expression analyzed in muscle specimens reinforces the hypothesis that YKL-40 expression is systemic, not being limited to lung involvement.

YKL-40 can be expressed and secreted by various types of cells, including macrophages, neutrophils, and chondrocytes. Its expression is regulated by several cytokines, which mediate the proliferation, tissue remodeling, and production of other inflammatory mediators. In ASSD and systemic autoimmune inflammatory disease, the elevated YKL-40 serum levels might derive come from systemic inflammatory cells or local cells (e.g., blood, muscle, skin, lungs). This was the first study to demonstrate the increased expression of YKL-40 in the inflammatory cells of muscle tissue obtained from a patient with ASSD.

As previously mentioned, YKL-40 is regulated by various pro-inflammatory cytokines [8, 9]; therefore, we assessed the TNF-α and IFN-γ serum levels.

High TNF-α serum levels were observed in patients with ASSD, similar to what occurs in other systemic autoimmune myopathies [31, 32]. TNF-α can induce YKL-40 production [8]. These data corroborated our study, in which a positive correlation was found between YKL-40 and TNF-α serum levels.

Although IFN-γ is involved in the ASSD pathophysiology, we did not find high cytokine serum levels in the present study. IFN-γ has a transient effect, being quickly cleared in the bloodstream [31, 33]. Therefore, it is difficult to detect. In the pathophysiology of systemic autoimmune myopathies, the participation of Th1 and Th2 cells is described as follows: IFN-γ is produced by initially present Th1 cells and, then, Th1 cells regulate Th2 cells using other inflammatory cytokines, including YKL-40 [34, 35].

The present study had some limitations. First, spirometry was not performed in all patients because of various internal circumstances, such as patients with difficulty in performing spirometry (dyspnea) and lack of available spirometry equipment at patient selection, even with these tests being carried out only in a later phase of the ASSD diagnosis and treatment (> six months). Second, the degree of dyspnea, six-minute walking distance, and oxygen saturation were not analyzed. Third, the analysis of pneumopathy in CT was only descriptive, since there is no criterion in sytemic autoimmune myopathies that quantifies the degree of lung involvement.

Conclusions

This study showed high YKL-40 serum levels in patients with ASSD, and these correlated positively with TNF-α serum levels. Although other studies have shown the expression of YKL-40 in lungs of patients with various systemic autoimmune myopathies, we have shown high YKL-40 levels in inflammatory muscle tissue cells.

Availability of data and materials

Not applicable.

Abbreviations

ALT:

Alanine aminotransferase

ANA:

Antinuclear antibodies

ASSD:

Antisynthetase syndrome

AST:

Aspartate aminotransferase

CO:

Carbon monoxide

CPK:

Creatine phosphokinase

CT:

Computed tomography

FEV1:

Forced expiratory volume in one second

FVC:

Forced vital capacity

HAQ:

Health Assessment Quality

HE:

Hematoxylin-eosin

IMACS:

International Myositis Assessment and Clinical Studies Group

LDH:

Lactate dehydrogenase

MMT:

Manual Muscle Testing

MYOACT:

Myositis Disease Activity Assessment Visual Analogue Scales

PBS:

Phosphate buffered saline

Rho :

Correlation

TNF:

Tumor necrosis factor

VAS:

Visual analogue scale

YKL-40:

Protein chitinase-3-like-1

References

  1. 1.

    Connors GR, Christopher-Stine L, Oddis CV, Danoff SK. Interstitial lung disease associated with the idiopathic inflammatory myopathies: what progress has been made in the past 35 years? Chest. 2010;138(6):1464–74. https://doi.org/10.1378/chest.10-0180.

    Article  PubMed  Google Scholar 

  2. 2.

    Cavagna L, Trallero-Araguás E, Meloni F, Cavazzana I, Rojas-Serrano J, Feist E, et al. Influence of antisynthetase antibodies specificities on antisynthetase syndrome clinical spectrum time course. J Clin Med. 2019;8(11):2013. https://doi.org/10.3390/jcm8112013.

    CAS  Article  PubMed Central  Google Scholar 

  3. 3.

    Shinjo SK, Levy-Neto M. Anti-Jo-1 antisynthetase syndrome. Rev Bras Reumatol. 2010;50(5):492–500. https://doi.org/10.1590/S0482-50042010000500003.

    Article  PubMed  Google Scholar 

  4. 4.

    González-Gay MA, Montecucco C, Selva-O’Callaghan A, Trallero-Aragua E, Molberg O, Andersson H, et al. Timing of onset affects arthritis presentation pattern in antisyntethase syndrome. Clin Exp Rheumatol. 2018;36(1):44–9.

    PubMed  Google Scholar 

  5. 5.

    Hakala BE, White C, Recklies AD. Human cartilage gp-39, a major secretory product of articular chondrocytes and synovial cells, is a mammalian member of a chitinase protein family. J Biol Chem. 1993;268(34):25803–10. https://doi.org/10.1016/S0021-9258(19)74461-5.

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    De Ceuninck F, Gaufillier S, Bonnaud A, Sabatini M, Lesur C, Pastoureau P. YKL-40 (cartilage gp-39) induces proliferative events in cultured chondrocytes and synoviocytes and increases glycosaminoglycan synthesis in chondrocytes. Biochem Biophys Res Commun. 2001;285(4):926–31. https://doi.org/10.1006/bbrc.2001.5253.

    CAS  Article  PubMed  Google Scholar 

  7. 7.

    Lee CG, Da Silva CA, Dela Cruz CS, Ahangari F, Ma B, Kang MJ, et al. Role of chitin and chitinase/chitinase-like proteins in inflammation, tissue remodeling, and injury. Annu Rev Physiol. 2011;73(1):479–501. https://doi.org/10.1146/annurev-physiol-012110-142250.

    CAS  Article  PubMed  Google Scholar 

  8. 8.

    Prakash M, Bodas M, Prakash D, Nawani N, Khetmalas M, Mandal A, et al. Diverse pathological implications of YKL-40: answers may lie in ‘outside-in’ signaling. Cell Signal. 2013;25(7):1567–73. https://doi.org/10.1016/j.cellsig.2013.03.016.

    CAS  Article  PubMed  Google Scholar 

  9. 9.

    Kazakova MH, Batalov AZ, Mateva NG, Sarafian VS. YKL-40 and cytokines-a new diagnostic constellation in rheumatoid arthritis? Folia Med. 2017;59(1):37–42. https://doi.org/10.1515/folmed-2017-0013.

    CAS  Article  Google Scholar 

  10. 10.

    Huang K, Wu LD. YKL-40: a potential biomarker for osteoarthritis. J Int Med Res. 2009;37(1):18–24. https://doi.org/10.1177/147323000903700102.

    CAS  Article  PubMed  Google Scholar 

  11. 11.

    Johansen JS, Stoltenberg M, Hansen M, Florescu A, Horslev-Petersen K, Lorenzen I, et al. Serum YKL-40 concentrations in patients with rheumatoid arthritis: relation to disease activity. Rheumatology (Oxford). 1999;38(7):618–26. https://doi.org/10.1093/rheumatology/38.7.618.

    CAS  Article  Google Scholar 

  12. 12.

    Jafari-Nakhjavani MR, Ghorbanihaghjo A, Bagherzadeh-Nobari B, Malek-Mahdavi A, Rashtchizadeh N. Serum YKL-40 levels and disease characteristics in patients with rheumatoid arthritis. Caspian J Int Med. 2019;10:92–7.

    Google Scholar 

  13. 13.

    Väänänen T, Vuolteenaho K, Kautiainen H, Nieminen R, Mottonen T, Hannonen P, et al. NEO-RACo Study Group. Glycoprotein YKL-40: A potential biomarker of disease activity in rheumatoid arthritis during intensive treatment with csDMARDs and infliximab. Evidence from the randomised controlled NEO-RACo trial. PLoS One. 2017;12:e0183294.

    Article  Google Scholar 

  14. 14.

    Peltomaa R, Paimela L, Harvey S, Helve T, Leirisalo-Repo M. Increased level of YKL-40 in sera from patients with early rheumatoid arthritis: a new marker for disease activity. Rheumatol Int. 2001;20(5):192–6. https://doi.org/10.1007/s002960100115.

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    Johansen JS, Baslund B, Garbarsch C, Hansen M, Stoltenberg M, Lorenzen I, et al. YKL-40 in giant cells and macrophages from patients with giant cell arteritis. Arthritis Rheum. 1999;42(12):2624–30. https://doi.org/10.1002/1529-0131(199912)42:12<2624::AID-ANR17>3.0.CO;2-K.

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    Montagna GL, D’Angelo S, Valentini G. Cross-sectional evaluation of YKL-40 serum concentrations in patients with systemic sclerosis. Relationship with clinical and serological aspects of disease. Rheumatolology. 2003;30:2147–51.

    Google Scholar 

  17. 17.

    Nordenbaek C, Johansen JS, Halberg P, Wiik A, Garbarsch C, Ullman S, et al. High serum levels of YKL-40 in patients with systemic sclerosis are associated with pulmonary involvement. Scand J Rheumatol. 2005;34(4):293–7. https://doi.org/10.1080/03009740510018598.

    CAS  Article  PubMed  Google Scholar 

  18. 18.

    Sun Y, Kong X, Wu S, Ma L, Yan Y, Lv P, et al. YKL-40 as a new biomarker of disease activity in Takayasu arteritis. Int J Cardiol. 2019;293:231–7. https://doi.org/10.1016/j.ijcard.2019.06.058.

    Article  PubMed  Google Scholar 

  19. 19.

    Hozumi H, Fujisawa T, Enomoto N, Nakashima R, Enomoto Y, Suzuki Y, et al. Clinical utility of YKL-40 in polymyositis/dermatomyositis-associated interstitial lung disease. J Rheumatol. 2017;44(9):1394–401. https://doi.org/10.3899/jrheum.170373.

    CAS  Article  PubMed  Google Scholar 

  20. 20.

    Gao MZ, Wei YY, Xu QW, Ji R, Han Z-J, Jian T-W, et al. Elevated serum YKL-40 correlates with clinical characteristics in patients with polymyositis or dermatomyositis. Ann Clin Biochem. 2019;56(1):95–9. https://doi.org/10.1177/0004563218786979.

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Jiang L, Wang Y, Peng Q, Shu X, Wang G, Wu X, et al. Serum YKL-40 level is associated with severity of interstitial lung disease and poor prognosis in dermatomyositis with anti-MDA5 antibody. Clin Rheumatol. 2019;38(6):1655–63. https://doi.org/10.1007/s10067-019-04457-w.

    Article  PubMed  Google Scholar 

  22. 22.

    Cruellas MG, Viana V dos S, Levy-Neto M, FHC DS, Shinjo SK. Myositis-specific and myositis-associated autoantibody profiles and their clinical associations in a large series of patients with polymyositis and dermatomyositis. Clinics. 2013;68:909–14.

    Article  Google Scholar 

  23. 23.

    Rider LG, Giannini EH, Harris-Love M, Joe G, Isenberg D, Pilkington C, et al. International myositis assessment and clinical studies group. Defining clinical improvement in adult and juvenile myositis. J Rheumatol. 2003;30(3):603–17.

    PubMed  Google Scholar 

  24. 24.

    Rider LG, Feldman BM, Perez MD, Rennebohm RM, Lindsley CB, Zemel LS, et al. Development of validated disease activity and damage indices for the juvenile idiopathic inflammatory myopathies: I. physician, parent, and patient global assessments. Juvenile dermatomyositis disease activity collaborative study group. Arthritis Rheum. 1997;40(11):1976–83. https://doi.org/10.1002/art.1780401109.

    CAS  Article  PubMed  Google Scholar 

  25. 25.

    Harris-Love MO, Shrader JA, Koziol D, Pahlajani N, Jain M, Smith M, et al. Distribution and severity of weakness among patients with polymyositis, dermatomyositis, and juvenile dermatomyositis. Rheumatology (Oxford). 2009;48(2):134–9. https://doi.org/10.1093/rheumatology/ken441.

    CAS  Article  Google Scholar 

  26. 26.

    Miller FW, Rider GL, Chung YL, et al. International Myositis Outcome Assessment Collaborative Study Group. Proposed preliminary core set measures for disease outcome assessment in adult and juvenile idiopathic inflammatory myopathies. Rheumatology (Oxford). 2001;40:1262–73.

    CAS  Article  Google Scholar 

  27. 27.

    Bruce B, Fries JF. The Stanford health assessment questionnaire: dimensions and practical applications. Health Qual Life Outcomes. 2003;1(1):20. https://doi.org/10.1186/1477-7525-1-20.

    Article  PubMed  PubMed Central  Google Scholar 

  28. 28.

    Waseda Y, Johkoh T, Egashira R, Sumikawa H, Saeki K, Watanabe S, et al. Antisynthetase syndrome: pulmonary computed tomography findings of adult patients with antibodies to aminoacyl-tRNA synthetases. Eur J Radiol. 2016;85(8):1421–6. https://doi.org/10.1016/j.ejrad.2016.05.012.

    Article  PubMed  Google Scholar 

  29. 29.

    Debray MP, Borie R, Revel MP, Naccache J-M, Khalil A, Toper C, et al. Interstitial lung disease in anti-synthetase syndrome: initial and follow-up CT findings. Eur J Radiol. 2015;84(3):516–23. https://doi.org/10.1016/j.ejrad.2014.11.026.

    Article  PubMed  Google Scholar 

  30. 30.

    Sada KE, Yamasaki Y, Maruyama M, Sugiyama H, Yamamura M, Maeshima Y, et al. Altered levels of adipocytokines in association with insulin resistance in patients with systemic lupus erythematosus. J Rheumatol. 2006;33(8):1545–52.

    CAS  PubMed  Google Scholar 

  31. 31.

    Salomonsson S, Lundberg IE. Cytokines in idiopathic inflammatory myopathies. Autoimmunity. 2006;39(3):177–90. https://doi.org/10.1080/08916930600622256.

    CAS  Article  PubMed  Google Scholar 

  32. 32.

    Lundberg I, Brengman JM, Engel AG. Analysis of cytokine expression in muscle in inflammatory myopathies, Duchenne dystrophy, and non-weak controls. J Neuroimmunol. 1995;63(1):9–16. https://doi.org/10.1016/0165-5728(95)00122-0.

    CAS  Article  PubMed  Google Scholar 

  33. 33.

    Gallay L, Mouchiroud G, Chazaud B. Interferon-signature in idiopathic inflammatory myopathies. Curr Opin Rheumatol. 2019;31(6):634–42. https://doi.org/10.1097/BOR.0000000000000653.

    CAS  Article  PubMed  Google Scholar 

  34. 34.

    Hou C, Baba-Amer Y, Bencze M, Relaix F, Authier FJ. The effect of interferon-gamma on skeletal muscle cell biology. Med Sci. 2018;34:35–8.

    Google Scholar 

  35. 35.

    Isoda K, Kotani T, Takeuchi T, Kiboshi T, Hata K, Ishida T, et al. Comparison of long-term prognosis and relapse of dermatomyositis complicated with interstitial pneumonia according to autoantibodies: anti-aminoacyl tRNA synthetase antibodies versus antimelanoma differentiation-associated gene 5 antibody. Rheumatol Int. 2017;37(8):1335–40. https://doi.org/10.1007/s00296-017-3729-y.

    CAS  Article  PubMed  Google Scholar 

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Acknowledgments

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Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) #2014/09079–1, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) #303379/2018–9 and Faculdade de Medicina da USP - SP to SKS.

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All authors contributed equally to write and review the manuscript. The author(s) read and approved the final manuscript.

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Correspondence to Samuel Katsuyuki Shinjo.

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Carboni, R., Behrens Pinto, G.L. & Shinjo, S.K. High YKL-40 serum levels and its expression in the muscle tissues of patients with antisynthetase syndrome. Adv Rheumatol 61, 44 (2021). https://doi.org/10.1186/s42358-021-00199-z

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Keywords

  • Antisynthetase syndrome
  • Chitinase
  • Inflammatory myopathy
  • Muscle biopsy
  • Myositis