Advances in Clinical and Experimental Medicine

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Advances in Clinical and Experimental Medicine

2025, vol. 34, nr 5, May, p. 709–715

doi: 10.17219/acem/190059

Publication type: original article

Language: English

License: Creative Commons Attribution 3.0 Unported (CC BY 3.0)

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Ekinci B, Mertoglu C, Coskun R, Arslan YK, Coban TA, Ozcicek F. The relationship between rheumatoid arthritis and epicardial fat thickness, and serum levels of chemerin, adropin, and betatrophin. Adv Clin Exp Med. 2025;34(5):709–715. doi:10.17219/acem/190059

The relationship between rheumatoid arthritis and epicardial fat thickness, and serum levels of chemerin, adropin, and betatrophin

Bilge Ekinci1,A,B,C,D,E,F, Cuma Mertoglu2,B,C,E, Resit Coskun3,B,D,E, Yusuf Kemal Arslan4,C, Taha Abdulkadir Coban5,B,C,E, Fatih Ozcicek6,A,C,D,E,F

1 Department of Physical Medicine and Rehabilitation, Faculty of Medicine, Erzincan Binali Yıldırım University, Turkey

2 Department of Clinical Biochemistry, Faculty of Medicine, Inonu University, Malatya, Turkey

3 Department of Cardiology, Faculty of Medicine, Erzincan Binali Yildirim University, Turkey

4 Department of Biostatistics, Faculty of Medicine, Cukurova University, Adana, Turkey

5 Department of Clinical Biochemistry, Faculty of Medicine, Erzincan Binali Yildirim University, Turkey

6 Department of Internal Medicine, Faculty of Medicine, Erzincan Binali Yildirim University, Turkey

Graphical abstract


Graphical abstracts

Abstract

Background. Cardiovascular diseases (CVDs) are highly prevalent among patients with rheumatoid arthritis (RA). Epicardial adipose tissue, serum betatrophin, chemerin, and adropin levels are factors associated with atherosclerosis and cardiovascular involvement.

Objectives. This study aimed to investigate the relationship between RA and epicardial fat thickness (EFT), as well as serum betatrophin, chemerin and adropin levels.

Materials and methods. This cross-sectional study included 80 patients (62 women and 18 men) diagnosed with RA according to the American College of Rheumatology/The European Alliance of Associations for Rheumatology (ACR/EULAR) 2010 RA classification criteria and 80 healthy controls (64 women and 16 men). Exclusion criteria comprised other autoimmune diseases, CVDs, diabetes mellitus, other endocrine disorders, acute or chronic pancreatic disorders, malignancy, pregnancy, breastfeeding, or antihyperlipidemic drug usage. Serum betatrophin, chemerin and adropin concentrations were measured. Epicardial fat thickness was evaluated with transthoracic echocardiography.

Results. Adropin levels were significantly lower in the RA group compared to the control group (p < 0.001). Chemerin levels and EFT were significantly higher in the RA group than in the control group (p = 0.016, p < 0.001, respectively). When assessing the relationship between biomarkers and EFT in RA patients, a strong positive correlation was observed between chemerin and EFT (r = 0.73, p = 0.046) in patients with high disease activity.

Conclusions. Epicardial fat thickness, as an indicator of cardiovascular involvement, is higher in patients with RA. Moreover, high chemerin levels and low adropin levels in these patients may be indicative of cardiovascular involvement.

Key words: rheumatoid arthritis, chemerin, epicardial fat thickness, betatrophin, adropin

Background

Rheumatoid arthritis (RA) is a degenerative chronic rheumatic disease that affects the small peripheral synovial joints symmetrically, resulting in joint abnormalities and loss of function.1 According to traditional cardiovascular risk factors, the prevalence of cardiovascular disease (CVD) is higher in RA patients than in the general population.2 Patients with RA have a limited understanding of the factors associated with their condition that place them at increased risk of CVD.3 The increased mortality associated with RA is due to severe comorbidities that frequently induce inflammation and are inadequately treated.4 Numerous studies have demonstrated that RA is associated with a higher risk of death from cardiovascular causes.5, 6

Up to 80% of the heart’s surface is covered with epicardial fat tissue, which is located between the visceral pericardium and myocardium.7 Visceral adipose tissue plays a significant role in the pathophysiology of coronary artery disease (CAD).8 This disease may develop due to factors such as epicardial fat tissue being adjacent to the coronary vessels or sharing the same microcirculation as the myocardium, local inflammation or paracrine effects.9

Betatrophin (also known as C190RF80, RIFL, ANGPTL8, or lipasin) is a newly discovered circulatory hormone synthesized in the human liver that promotes glucose and lipid metabolism.10, 11 Betatrophin, which is thought to play a role in lipid metabolism and glucose homeostasis, may be associated with high cardiovascular risk and dysfunctional lipid metabolism.10 Chemerin is a recently discovered adipokine that regulates inflammation, angiogenesis and adipogenesis. It is a chemoattractant adipokine identified in immune cells and white adipose tissue, potentially triggering multiple proinflammatory processes in RA, possibly by stimulating synovial fibroblasts.12 Adropin is a newly identified peptide consisting of 76 amino acids with a molecular weight of 4,499.9 Da. It has been studied for its hormonal role in preserving endothelial cell function. It has been found in the brain and liver of rats, and its expression is associated with a gene that regulates energy homeostasis.13 Adropin has been shown to independently suppress atherosclerosis, irrespective of glucose and lipid metabolism and blood pressure.14

Objectives

The objective of this study was to investigate the relationship between RA and epicardial fat thickness (EFT), as well as betatrophin, chemerin and adropin levels in the blood of study participants.

Materials and methods

Study population

The study was conducted with patients admitted to the Physical Medicine and Rehabilitation outpatient clinic of Mengucek Gazi Training and Research Hospital (Erzincan, Turkey) between June 2020 and June 2021. Eighty RA patients (62 women and 18 men) diagnosed according to the ACR/EULAR 2010 RA classification criteria and 80 healthy controls (64 women and 16 men) were included in the study. The ACR/EULAR RA classification criteria included duration of symptoms, joint involvement, anti-cyclic citrullinated peptide (anti-CCP) and rheumatoid factor (RF) positivity, and acute phase reactants.15 Patients’ gender, age, waist circumference, and body mass index (BMI) were recorded. Informed consent was obtained from all subjects, and permission to conduct the study was granted by the Clinical Research Ethics Committee of Erzincan Binali Yildirim University, Turkey (dated March 3, 2020, No. 11665).

The DAS-28 remission criteria, including C-reactive protein (CRP), swollen and tender joint counts, and assessments of general health, were used to determine disease activity.16 The Steinbrocker classification of functional capacity was used to assess functional status.17 The healthy controls consisted of outpatients with acute musculoskeletal pain but no chronic inflammatory disease. They had no clinical history, laboratory or examination findings suggestive of RA. Both groups completed the Short Form-36 Health Survey Questionnaire (SF-36) to assess quality of life, and the visual analogue scale (VAS) to measure pain intensity.

Measurement of EFT

Epicardial fat thickness was measured from the echolucent area between the epicardial surface in front of the free wall of the right ventricle and the parietal pericardium. Measurements were taken at the end-diastole. During EFT measurement, each patient was placed in the left lateral decubitus position to obtain an optimal parasternal long-axis view. The aortic root and the interventricular septum were used as reference points for measurement from the parasternal long-axis view. Measurements were made by placing the aortic annulus and right ventricular free wall on the midline of the ultrasound waves and using the aortic root as a reference.18, 19 All measurements were performed transthoracically using a Philips HD 11XE echocardiography device (Koninklijke Philips N.V., Eindhoven, the Nether­lands). According to a systematic review by Bertaso et al., a cutoff value of >5 mm was accepted for EFT.18

Patients with other autoimmune diseases, CVD, diabetes mellitus, endocrine disorders, acute and chronic pancreatic disorders, malignancy, pregnancy, breastfeeding, and those using antihyperlipidemic drugs were excluded from the study.

Measurement of plasma adropin, chemerin and betatrophin levels

After 8 h of fasting, blood samples were obtained from the antecubital vein in the morning and collected into vacuum gel tubes. The serum was separated by centrifugation of the samples at 5,000 rpm for 20 min at 4°C within 1 h of collection. Samples were stored at –80°C until analysis and were thawed only once before the analysis. Complete blood count, CRP, erythrocyte sedimentation rate (ESR), triglycerides, low-density lipoprotein (LDL), high-density lipoprotein (HDL), total cholesterol, and glucose levels were assessed from fresh blood samples. The levels of plasma adropin, chemerin and betatrophin (USCN, human adropin, chemerin, betatrophin ELISA kit) were determined using an enzyme-linked immunosorbent assay (ELISA). The absorbances of standards and samples were read at 450 nm (with correction at 540 nm) using an Epoch spectrophotometer (BioTek Instruments, Inc., Winooski, USA).

Statistical analyses

The statistical analyses were performed using IBM SPSS for Windows, v. 22.0 (IBM Corp., Armonk, USA). Results for categorical data are presented as numbers and percentages, and for continuous variables as mean ± standard deviation (±SD). The χ2 test was used for the analysis of categorical data. The assumption of normality for continuous variables was checked using the Kolmogorov–Smirnov test. Depending on the normality of the variables, either the Mann–Whitney U test or Student’s t-test was applied. Pearson’s or Spearman’s correlation tests were used to evaluate the relationship between variables. A p-value less than 0.05 was considered statistically significant.

Results

Table 1 displays the baseline characteristics of 80 RA patients and 80 healthy controls. The RA patients and healthy controls did not differ significantly in terms of age, gender, BMI, waist circumference, and smoking status.

The RA group had a mean disease duration of 120.5 ±98.6 months, with a mean RF value of 70.7 ±127.5 months. Anti-CCP was positive in 44 (55%) patients and negative in 36 (45%) patients. The mean DAS-28 score was 3.81 ±0.66. According to their DAS-28 scores, 18 patients (22.5%) had low disease activity, 54 patients (67.5%) had moderate disease activity and 8 patients (10%) had high disease activity.

Compared to the control group, the RA patients had significantly higher platelet-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio, CRP, ESR, monocytes, and neutrophils. The RA group also had significantly lower red blood cell counts and mean platelet volume compared to the control group. There were no significant differences between the 2 groups for glucose, total cholesterol, HDL, LDL, triglycerides, white blood cell count, hemoglobin, hematocrit, platelet count, and lymphocytes (Table 2).

There was no difference between RA patients and the control group in terms of betatrophin serum levels (0.28 ±0.24 vs 0.23 ±0.20, respectively; p = 0.466). Adropin levels were lower in the RA group compared to controls (p < 0.001). Chemerin levels and EFT were higher in the RA group compared to the control group (p = 0.016, p < 0.001, respectively) (Table 3, Figure 1).

In the RA group, patients with low disease activity according to the DAS-28 had lower EFT (4.4 ±1.76 mm) compared to those with moderate/high disease activity (6.0 ±2.7 mm; p = 0.040). Levels of betatrophin, adropin and chemerin did not differ significantly based on disease activity.

The study groups were also compared according to the median value of EFT (EFT < 5 mm or EFT ≥ 5 mm). The proportion of patients with high EFT (EFT ≥ 5 mm) was 57.5% in the RA group and 20% in the control group. The proportion of patients with EFT ≥ 5 mm was significantly higher in the RA group compared to the control group (p < 0.001).

A weak positive correlation was found between BMI and betatrophin in the RA group (r = 0.28, p = 0.011). Both the RA and control groups showed a weak positive correlation between BMI and EFT (for RA: r = 0.24, p = 0.029; for control: r = 0.27, p = 0.016). There was no correlation between CRP and the biomarkers. There was a moderate positive correlation between age and EFT (r = 0.49, p < 0.001) in the RA group, whereas this correlation was weak (r = 0.29, p = 0.010) in the control group.

When evaluating the relationship between biomarkers and EFT in RA patients, a strong positive correlation was found between chemerin and EFT (r = 0.73, p = 0.046) in patients with high disease activity.

Discussion

In this study, EFT was higher in RA patients than in controls. Serum chemerin levels were also higher in RA patients. Conversely, serum adropin levels were lower in RA patients. There was a correlation between chemerin and EFT, and a relationship was found between disease activity and EFT.

Ormseth et al. reported that patients with RA had a higher EFT associated with cardiometabolic risk factors and metabolic syndrome compared to the control group. Similar to the present study, they also reported correlations between EFT, waist circumference and BMI.20 On the other hand, Kitagawa et al. reported that macrophage infiltration and neoangiogenesis, demonstrated with immunohistochemical staining on EFT, correlated with calcific and non-calcific plaque formation in the coronary arteries on cardiac computed tomography (CT).21

Karpouzas et al. evaluated epicardial fat tissue volumes (EFTVs) in RA patients and controls using CT angiography. They reported a higher plaque load and the presence of non-calcified plaques in the EFTV of RA patients, although similar EFTVs were found between RA patients and controls.22 This demonstrates that epicardial fat tissue promotes atherogenesis through inflammation, biological dysfunction and paracrine effects through a mechanism other than traditional risk factors (e.g., metabolic syndrome, insulin resistance and abdominal visceral fat). Epicardial fat thickness may have a more pathogenic effect on the development of subclinical atherosclerosis and cardiovascular risk in RA. The relationship between severe disease activity and EFT could indicate an increased cardiovascular risk in these patients.

Chemerin, a proinflammatory adipokine, activates the chemotaxis of macrophages, natural killer cells and dendritic cells. It increases the production of tumor necrosis factor alpha (TNF-α), interleukin (IL)-6 , IL-1β, matrix metalloproteinase (MMP)-1, and MMP-8 in human chondrocytes.23 ChemR23, or the CMKLR receptor, is expressed in macrophages, dendritic cells and fibroblast-like synoviocytes, and has been associated with both adaptive and innate immunity.12 Tolusso et al. found that plasma chemerin values were correlated with disease activity and BMI in RA patients.24 They also found that a reduction in BMI of at least 5% improved disease control in obese RA patients without changing the RA treatment. Vazquez-Villegas et al. demonstrated a relationship between high chemerin levels and functional disability in RA patients and found a correlation between functional disability and DAS-28.25 Leiherer et al. demonstrated that chemerin was a strong predictor of cardiovascular events in individuals with metabolic syndrome.26 The present study found that chemerin levels increased in patients with RA, and there was a correlation between serum chemerin levels and EFT. This suggests that patients with RA have an increased risk of CVD.

Adropin plays a role in lipid metabolism (by suppressing carnitine palmitoyl-transferase) and glucose metabolism (by activating pyruvate dehydrogenase).27 Gao et al. reported that in a diet-dependent mouse model, adropin 34-76 suppressed cAMP-activated protein kinase A activity and reduced the phosphorylation of inositol triphosphate receptor and element-binding protein. Thus, they stated that adropin increased intracellular signaling activities in insulin-mediated glucose homeostasis.28 Lovren et al. showed that adropin decreased the level of apoptosis caused by TNF-α in human umbilical vein endothelial cells.29 Impaired endothelial function is the triggering factor for the development and progression of cardiovascular, metabolic, inflammatory, renal, and infectious diseases, with atherothrombosis having the most notable pathological effect. Several investigations have revealed that adropin levels are lower in the blood of people with CAD, coronary slow flow phenomenon and hypertension compared to those in control groups.30, 31, 32

Wu et al. included individuals with and without type 2 diabetes in a study to evaluate the link between blood adropin levels and the angiographic severity of coronary atherosclerosis. They found that serum adropin levels were lower in patients with type 2 diabetes. Furthermore, they discovered that these levels were inversely and independently associated with the angiographic severity of coronary atherosclerosis.33 Butler et al. found that rats fed a high-fat diet had significantly elevated adiponectin levels in their blood, along with significant changes in insulin sensitivity and glucose intolerance.34 They also stated that adropin plays a role in protecting the endothelium and maintaining its functions. Similarly, the present study revealed that adropin levels were found to be low in patients with RA.

Erman et al. reported that obese patients had low serum adropin levels, with 216.7 ng/L being the optimal cutoff point to detect insulin resistance.35 Fujie et al. reported that adropin levels decreased with age and increased with an aerobic exercise program.36 Tuleab et al. reported that adropin levels in the serum of RA patients were noticeably lower than in the control group.37 Similarly, low serum levels of adropin were observed in individuals with RA in the current study.

We found that patients with RA had higher EFT levels than the control group. There was a connection between age, BMI, waist circumference, and exercise intensity. It was discovered that patients experiencing intense illness activity had higher EFT. Patients diagnosed with RA had a higher EFT, indicating cardiovascular involvement.38 Additionally, serum chemerin levels were higher in patients with RA. Conversely, serum adropin levels were lower in RA patients. Low serum adropin levels may reduce endothelium protection and may induce or accelerate the progression of atherosclerosis.33 Recent studies suggest that chemerin is important in the pathogenesis of CVD, particularly CAD.39, 40

Limitations

There were 3 significant limitations to our investigation. First, this was a cross-sectional analysis focusing on the relationship between RA and EFT, serum betatrophin, chemerin, and adropin levels. Second, the sample size was somewhat limited. Third, because this was not a prospective controlled trial, causal relationships could not be inferred from our findings.

Conclusions

Measurement of EFT in patients with RA may assist in determining cardiovascular risk and enable early precautions to be taken. Given that patients with RA have a higher risk of developing CVD, it is hypothesized that elevated serum chemerin levels combined with decreased adropin levels contribute to the pathophysiology of this condition.

Data availability

The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.

Consent for publication

Not applicable.

Tables


Table 1. Demographic and clinical features of patients

Parameters

Group

p-value

RA

control

Sex

female

62 (77.5)

64 (80.0)

0.699

male

18 (22.5)

16 (20.0)

Age [year]

51.9 ±11.3

49.7 ±9.9

0.215

Weight [kg]

70.1 ±8.6

69.8 ±10.8

0.279

Height [cm]

162.2 ±6.7

163.6 ±7.5

0.346

BMI [kg/m²]

26.7 ±3.0

26.0 ±3.1

0.680*

Waist circumference [cm]

91.4 ±8.3

87.4 ±10.2

0.793*

Smoking status

non-smoker

74 (92.5)

78 (97.5)

0.147

smoker

6 (7.5)

2 (2.5)

VAS [mm]

61.9 ±17.6

46.0 ±14.4

<0.001*

SF-36

73.8 ±9.7

93.7 ±5.2

<0.001

RA – rheumatoid arthritis; BMI – body mass index; VAS – visual analogue scale; SF-36 – short form-36; *independent samples Student’s t-test; otherwise, Mann–Whitney U-test was performed.
Table 2. Laboratory findings of study groups

Parameters

Group

p-value

RA

control

CRP [mg/L]

10.5 ±12.2

3.7 ±1.1

<0.001

ESR [mm/h]

23.0 ±19.2

8.2 ±5.7

<0.001

Glucose [mg/dL]

99.8 ±30.9

95.2 ±13.5

0.618

Total cholesterol [mg/dL]

192.7 ±35.9

186.8 ±35.9

0.092

HDL [mg/dL]

51.7 ±10.9

53.1 ±11.2

0.235

LDL [mg/dL]

122.5 ±28.6

120.8 ±29.9

0.706

Triglyceride [mg/dL]

134.0 ±72.1

113.3 ±53.9

0.090

WBC [×10³/uL]

7.3 ±2.0

6.8 ±1.4

0.128

RBC [×10⁶]

4.7 ±0.5

4.8 ±0.4

0.044*

Hb [g/dL]

13.3 ±1.4

13.7 ±1.5

0.063

Hct [%]

40.6 ±3.9

40.9 ±3.6

0.608*

Mpv [fl]

10.2 ±0.9

10.4 ±0.9

0.026

Plt [×10³]

276.8 ±64.4

263. 0 ±50.3

0.134*

Lymphocytes [×10³]

2.1 ±0.8

2.3 ±0.6

0.087

Monocytes [×10³]

0.58 ±0.16

0.51 ±0.13

0.010

Neutrophils [×10³]

4.5 ±1.6

3.8 ±1.1

0.008

NLR

2.4 ±1.7

1.8 ±0.7

0.002

PLR

146.5 ±60.9

122.0 ±36.7

0.024

RA – rheumatoid arthritis; CRP – C-reactive protein; ESR – erythrocyte sedimentation rate; WBC – white blood cells count; RBC – red blood cells count; Hb – hemoglobin; Hct – hematocrit, Mpv – mean platelet volume; Plt – platelets; NLR – neutrophils/lymphocytes rate; PLR – platelets/lymphocytes rate; *independent samples t-test; otherwise, Mann–Whitney U test was performed.
Table 3. The serum values of biomarkers and EFT in study groups

Parameters

Group

p-value

RA

control

Betatrophin [ng/mL]

0.28 ±0.24

0.23 ±0.20

0.466

Adropin [pg/mL]

253.3 ±132.5

384.3 ±152.0

<0.001*

Chemerin [ng/mL]

1.37 ±2.48

1.25 ±1.55

0.016

EFT [mm]

5.7 ±2.6

3.7 ±1.6

<0.001

EFT – epicardial fat thickness; RA – rheumatoid arthritis; *independent samples Student’s t-test; otherwise, Mann–Whitney U test was performed.

Figures


Fig. 1. Betatrophin, adropin, chemerin, and epicardial fat thickness (EFT) levels in the study groups
RA – rheumatoid arthritis.

References (40)

  1. Aletaha D, Neogi T, Silman AJ, et al. 2010 rheumatoid arthritis classification criteria: An American College of Rheumatology/European League Against Rheumatism collaborative initiative. Arthritis Rheum. 2010;62(9):2569–2581. doi:10.1002/art.27584
  2. Chung CP, Oeser A, Solus JF, et al. Prevalence of the metabolic syndrome is increased in rheumatoid arthritis and is associated with coronary atherosclerosis. Atherosclerosis. 2008;196(2):756–763. doi:10.1016/j.atherosclerosis.2007.01.004
  3. Teoh BC, Syed Sulaiman SA, Tan BE. Knowledge of cardiovascular disease risk in rheumatoid arthritis patients before and after educational intervention from a Southeast Asia country: Malaysia. Arch Rheumatol. 2020;36(1):1159. doi:10.46497/ArchRheumatol.2021.7726
  4. Gabriel SE. Why do people with rheumatoid arthritis still die prematurely? Ann Rheum Dis. 2008;67(Suppl 3):iii30–iii34. doi:10.1136/ard.2008.098038
  5. Aviña‐Zubieta JA, Choi HK, Sadatsafavi M, Etminan M, Esdaile JM, Lacaille D. Risk of cardiovascular mortality in patients with rheumatoid arthritis: A meta‐analysis of observational studies. Arthritis Care Res (Hoboken). 2008;59(12):1690–1697. doi:10.1002/art.24092
  6. Meune C, Touze E, Trinquart L, Allanore Y. Trends in cardiovascular mortality in patients with rheumatoid arthritis over 50 years: A systematic review and meta-analysis of cohort studies. Rheumatology. 2009;48(10):1309–1313. doi:10.1093/rheumatology/kep252
  7. Monti M, Monti A, Murdolo G, et al. Correlation between epicardial fat and cigarette smoking: CT imaging in patients with metabolic syndrome. Scand Cardiovasc J. 2014;48(5):317–322. doi:10.3109/14017431.2014.942872
  8. Öhman MK, Luo W, Wang H, et al. Perivascular visceral adipose tissue induces atherosclerosis in apolipoprotein E deficient mice. Atherosclerosis. 2011;219(1):33–39. doi:10.1016/j.atherosclerosis.2011.07.012
  9. Sacks HS, Fain JN, Cheema P, et al. Inflammatory genes in epicardial fat contiguous with coronary atherosclerosis in the metabolic syndrome and type 2 diabetes. Diabetes Care. 2011;34(3):730–733. doi:10.2337/dc10-2083
  10. Quagliarini F, Wang Y, Kozlitina J, et al. Atypical angiopoietin-like protein that regulates ANGPTL3. Proc Natl Acad Sci U S A. 2012;109(48):19751–19756. doi:10.1073/pnas.1217552109
  11. Fu Z, Yao F, Abou-Samra AB, Zhang R. Lipasin, thermoregulated in brown fat, is a novel but atypical member of the angiopoietin-like protein family. Biochem Biophys Res Commun. 2013;430(3):1126–1131. doi:10.1016/j.bbrc.2012.12.025
  12. Kaneko K, Miyabe Y, Takayasu A, et al. Chemerin activates fibroblast-like synoviocytes in patients with rheumatoid arthritis. Arthritis Res Ther. 2011;13(5):R158. doi:10.1186/ar3475
  13. Kumar KG, Trevaskis JL, Lam DD, et al. Identification of adropin as a secreted factor linking dietary macronutrient intake with energy homeostasis and lipid metabolism. Cell Metab. 2008;8(6):468–481. doi:10.1016/j.cmet.2008.10.011
  14. Sato K, Yamashita T, Shirai R, et al. Adropin contributes to anti-atherosclerosis by suppressing monocyte-endothelial cell adhesion and smooth muscle cell proliferation. Int J Mol Sci. 2018;19(5):1293. doi:10.3390/ijms19051293
  15. Neogi T, Aletaha D, Silman AJ, et al. The 2010 American College of Rheumatology/European League Against Rheumatism classification criteria for rheumatoid arthritis: Phase 2 methodological report. Arthritis Rheum. 2010;62(9):2582–2591. doi:10.1002/art.27580
  16. Wells G, Becker JC, Teng J, et al. Validation of the 28-joint Disease Activity Score (DAS28) and European League Against Rheumatism response criteria based on C-reactive protein against disease progression in patients with rheumatoid arthritis, and comparison with the DAS28 based on erythrocyte sedimentation rate. Ann Rheum Dis. 2009;68(6):954–960. doi:10.1136/ard.2007.084459
  17. Steinbrocker O, Traeger CH, Batterman RC. Therapeutic criteria in rheumatoid arthritis. JAMA. 1949;140(8):659. doi:10.1001/jama.1949.02900430001001
  18. Bertaso AG, Bertol D, Duncan BB, Foppa M. Epicardial fat: Definition, measurements and systematic review of main outcomes. Arq Bras Cardiol. 2013;101(1):e18–28. doi:10.5935/abc.20130138
  19. Eroglu S. How do we measure epicardial adipose tissue thickness by transthoracic echocardiography? Anatol J Cardiol. 2015;15(5):416–419. doi:10.5152/akd.2015.5991
  20. Ormseth MJ, Lipson A, Alexopoulos N, et al. Association of epicardial adipose tissue with cardiometabolic risk and metabolic syndrome in patients with rheumatoid arthritis. Arthritis Care Res (Hoboken). 2013;65(9):1410–1415. doi:10.1002/acr.22027
  21. Kitagawa T, Yamamoto H, Sentani K, et al. The relationship between inflammation and neoangiogenesis of epicardial adipose tissue and coronary atherosclerosis based on computed tomography analysis. Atherosclerosis. 2015;243(1):293–299. doi:10.1016/j.atherosclerosis.2015.09.013
  22. Karpouzas GA, Rezaeian P, Ormseth SR, Hollan I, Budoff MJ. Epicardial adipose tissue volume as a marker of subclinical coronary atherosclerosis in rheumatoid arthritis. Arthritis Rheumatol. 2021;73(8):1412–1420. doi:10.1002/art.41693
  23. Berg V, Sveinbjörnsson B, Bendiksen S, Brox J, Meknas K, Figenschau Y. Human articular chondrocytes express ChemR23 and chemerin: ChemR23 promotes inflammatory signalling upon binding the ligand chemerin21-157. Arthritis Res Ther. 2010;12(6):R228. doi:10.1186/ar3215
  24. Tolusso B, Gigante MR, Alivernini S, et al. Chemerin and PEDF are metaflammation-related biomarkers of disease activity and obesity in rheumatoid arthritis. Front Med (Lausanne). 2018;5:207. doi:10.3389/fmed.2018.00207
  25. Vazquez-Villegas ML, Gamez-Nava JI, Saldaña-Cruz AM, et al. Functional disability is related to serum chemerin levels in rheumatoid arthritis. Sci Rep. 2021;11(1):8360. doi:10.1038/s41598-021-87235-6
  26. Leiherer A, Muendlein A, Rein P, et al. Plasma chemerin is a strong and independent predictor of cardiovascular event risk. Atherosclerosis. 2015;241(1):e24. doi:10.1016/j.atherosclerosis.2015.04.095
  27. Gao S, McMillan RP, Jacas J, et al. Regulation of substrate oxidation preferences in muscle by the peptide hormone adropin. Diabetes. 2014;63(10):3242–3252. doi:10.2337/db14-0388
  28. Gao S, Ghoshal S, Zhang L, et al. The peptide hormone adropin regulates signal transduction pathways controlling hepatic glucose metabolism in a mouse model of diet-induced obesity. J Biol Chem. 2019;294(36):13366–13377. doi:10.1074/jbc.RA119.008967
  29. Lovren F, Pan Y, Quan A, et al. Adropin is a novel regulator of endothelial function. Circulation. 2010;122(11 Suppl 1):S185–S192. doi:10.1161/CIRCULATIONAHA.109.931782
  30. Zhang C, Zhao L, Xu W, et al. Correlation of serum adropin level with coronary artery disease [in Chinese]. Zhonghua Yi Xue Za Zhi. 2014;94(16):1255–1257. PMID:24924892.
  31. Zi-Wen Zhao, Yin-Gang Ren, Jun Liu. Low serum adropin levels are associated with coronary slow flow phenomenon. Acta Cardiol Sin. 2018;34(4):307–312. doi:10.6515/ACS.201807_34(4).20180306B
  32. Gu X, Li H, Zhu X, et al. Inverse correlation between plasma adropin and ET-1 levels in essential hypertension: A cross-sectional study. Medicine (Baltimore). 2015;94(40):e1712. doi:10.1097/MD.0000000000001712
  33. Wu L, Fang J, Chen L, et al. Low serum adropin is associated with coronary atherosclerosis in type 2 diabetic and non-diabetic patients. Clin Chem Lab Med. 2014;52(5):751–758. doi:10.1515/cclm-2013-0844
  34. Butler AA, Zhang J, Price CA, et al. Low plasma adropin concentrations increase risks of weight gain and metabolic dysregulation in response to a high-sugar diet in male nonhuman primates. J Biol Chem. 2019;294(25):9706–9719. doi:10.1074/jbc.RA119.007528
  35. Erman H, Ozdemir A, Sitar ME, Cetin SI, Boyuk B. Role of serum adropin measurement in the assessment of insulin resistance in obesity. J Invest Med. 2021;69(7):1318–1323. doi:10.1136/jim-2021-001796
  36. Fujie S, Hasegawa N, Horii N, et al. Aerobic exercise restores aging‐associated reductions in arterial adropin levels and improves adropin‐induced nitric oxide‐dependent vasorelaxation. JAHA. 2021;10(10):e020641. doi:10.1161/JAHA.120.020641
  37. Tuleab SF. Correlation of calprotectin with galectin 33, adropin and CTLA-4 in Iraqi rheumatoid arthritis patients. Int J Pharm Res. 2020;12(1):932–939. doi:10.31838/ijpr/2020.12.01.052
  38. Fatma E, Bunyamin K, Savas S, et al. Epicardial fat thickness in patients with rheumatoid arthritis. Afr Health Sci. 2015;15(2):489. doi:10.4314/ahs.v15i2.23
  39. Wu Q, Chen Y, Chen S, Wu X, Nong W. Correlation between adiponectin, chemerin, vascular endothelial growth factor and epicardial fat volume in patients with coronary artery disease. Exp Ther Med. 2019;19(2):1095–1102. doi:10.3892/etm.2019.8299
  40. Kaur J, Mattu HS, Chatha K, Randeva HS. Chemerin in human cardiovascular disease. Vascul Pharmacol. 2018;110:1–6. doi:10.1016/j.vph.2018.06.018