Skip to main content

Main menu

  • Home
  • Content
    • First Release
    • Current
    • Archives
    • Collections
    • Audiovisual Rheum
    • COVID-19 and Rheumatology
  • Resources
    • Guide for Authors
    • Submit Manuscript
    • Payment
    • Reviewers
    • Advertisers
    • Classified Ads
    • Reprints and Translations
    • Permissions
    • Meetings
    • FAQ
    • Policies
  • Subscribers
    • Subscription Information
    • Purchase Subscription
    • Your Account
    • Terms and Conditions
  • About Us
    • About Us
    • Editorial Board
    • Letter from the Editor
    • Duncan A. Gordon Award
    • Privacy/GDPR Policy
    • Accessibility
  • Contact Us
  • JRheum Supplements
  • Services

User menu

  • My Cart
  • Log In

Search

  • Advanced search
The Journal of Rheumatology
  • JRheum Supplements
  • Services
  • My Cart
  • Log In
The Journal of Rheumatology

Advanced Search

  • Home
  • Content
    • First Release
    • Current
    • Archives
    • Collections
    • Audiovisual Rheum
    • COVID-19 and Rheumatology
  • Resources
    • Guide for Authors
    • Submit Manuscript
    • Payment
    • Reviewers
    • Advertisers
    • Classified Ads
    • Reprints and Translations
    • Permissions
    • Meetings
    • FAQ
    • Policies
  • Subscribers
    • Subscription Information
    • Purchase Subscription
    • Your Account
    • Terms and Conditions
  • About Us
    • About Us
    • Editorial Board
    • Letter from the Editor
    • Duncan A. Gordon Award
    • Privacy/GDPR Policy
    • Accessibility
  • Contact Us
  • Follow jrheum on Twitter
  • Visit jrheum on Facebook
  • Follow jrheum on LinkedIn
  • Follow jrheum on YouTube
  • Follow jrheum on Instagram
  • Follow jrheum on RSS
Research ArticleRheumatoid Arthritis

Circulating Fibroblast Growth Factor-21 Levels in Rheumatoid Arthritis: Associations With Disease Characteristics, Body Composition, and Physical Functioning

Patrick W. Gould, Babette S. Zemel, Elena G. Taratuta and Joshua F. Baker
The Journal of Rheumatology April 2021, 48 (4) 504-512; DOI: https://doi.org/10.3899/jrheum.200673
Patrick W. Gould
1P.W. Gould, BA, E.G. Taratuta, MD, Perelman School of Medicine, University of Pennsylvania;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Patrick W. Gould
Babette S. Zemel
2B.S. Zemel, PhD, Perelman School of Medicine, University of Pennsylvania, and Children’s Hospital of Philadelphia;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Babette S. Zemel
Elena G. Taratuta
1P.W. Gould, BA, E.G. Taratuta, MD, Perelman School of Medicine, University of Pennsylvania;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joshua F. Baker
3J.F. Baker, MD, MSCE, Perelman School of Medicine, University of Pennsylvania, Philadelphia VA Medical Center, Division of Rheumatology, University of Pennsylvania, and Department of Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Joshua F. Baker
  • For correspondence: Joshua.Baker@pennmedicine.upenn.edu
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • References
  • PDF
  • eLetters
PreviousNext
Loading

Abstract

Objective This study evaluated associations between fibroblast growth factor (FGF)-21, an adipokine associated with metabolic stress, and adverse longitudinal changes in body composition and physical functioning in patients with rheumatoid arthritis (RA).

Methods At baseline and follow-up, patients with RA aged 18–70 years completed whole-body dual-energy X-ray absorptiometry and peripheral quantitative computed tomography to quantify lean mass, fat mass, and muscle density. Dynamometry assessed muscle strength at the hand and knee, and physical functioning was measured with the Health Assessment Questionnaire (HAQ) and the Short Physical Performance Battery (SPPB). FGF-21 and inflammatory cytokines were measured at baseline. Linear and logistic regression analyses assessed associations between FGF-21 levels and both body composition and physical functioning over time.

Results There were 113 patients with RA enrolled, and 84 (74%) returned for follow-up at a median of 2.68 years. At baseline, FGF-21 was associated with age, smoking, methotrexate use, adiposity, and inflammatory cytokines: tumor necrosis factor receptor type I, YKL-40, vascular endothelial growth factor (VEGF), and resistin. The highest FGF-21 quartile was associated with worse SPPB and HAQ. Higher baseline FGF-21 levels (per 1 SD) were associated with worsening in muscle density and area Z-scores (β –0.06, 95% CI –0.12 to 0.008, P = 0.08; and β –0.05, 95% CI –0.10 to 0.006, P = 0.08, respectively) and a greater probability of a clinically meaningful worsening of HAQ (OR 2.37, 95% CI 1.21–4.64, P = 0.01). The fourth FGF-21 quartile was associated with worsening of SPPB (β –0.57, 95% CI –1.04 to –0.09, P = 0.02).

Conclusion FGF-21 levels are associated with obesity and inflammatory cytokines, and with worsening in physical functioning in RA. These data support the hypothesis that FGF-21 can identify patients at risk of functional decline.

Key Indexing Terms:
  • biomarkers
  • body composition
  • disease activity
  • fibroblast growth factor 21
  • physical functioning
  • rheumatoid arthritis

Rheumatoid arthritis (RA) can lead to changes in body composition, including muscle loss and excess adiposity1,2, which are in turn associated with physical disability3,4,5. Given this link between body composition and long-term outcomes in RA, it is of interest to identify biomarkers that could help identify patients most at risk for developing progressive deficits in the skeletal muscle and the ensuing loss of physical functioning.

Fibroblast growth factor-21 (FGF-21) is an adipokine in the FGF family that acts as an endocrine hormone and metabolic regulator. Although the exact targets of FGF-21 are still not well understood, there is evidence that FGF-21 plays an important role in the body’s metabolic stress response. This role encompasses an array of physiologic responses to a diverse number of conditions that change the body’s metabolic demands, including fasting, malnutrition, obesity, amino acid deprivation, mitochondrial diseases, and exercise, among many others6,7. Indeed, FGF-21 levels are elevated in many of these physiologic states, including starvation, obesity, metabolic syndrome, insulin resistance, and exercise8–15; they are also associated with age and are elevated in patients with endstage renal disease, heart disease, fatty liver disease, and cachexia16,17,18. Further, FGF-21 is constitutively produced by the skeletal muscles in times of stress, and high circulating FGF-21 levels have been associated with muscle stress conditions and mitochondrial disease19. Given this link between FGF-21 and metabolic changes as well as muscle stress, FGF-21 could be a potential marker of inflammatory processes that leads to functional deficits in patients with RA.

However, few studies have evaluated FGF-21 levels in patients with RA. One study found elevated FGF-21 levels in seropositive RA patients, but no correlations with measures of disease severity20. Other studies have demonstrated that in mouse models of RA, exogenous FGF-21 may have a therapeutic effect21,22. However, evidence is limited, and the role of FGF-21 in RA is not clear. In order to address this knowledge gap, we conducted an analysis of a cohort of RA patients with comprehensive clinical data collected at 2 timepoints over 2–3 years of follow-up. We hypothesized that levels of FGF-21 at baseline would be associated with worsening muscle deficits (as measured through muscle density/area and muscle strength) and physical functioning outcomes over time.

MATERIALS AND METHODS

Study setting. The data collection methods for this study have been previously described23. Briefly, RA subjects aged 18–70 years, with established disease and meeting 2010 American College of Rheumatology classification criteria, were recruited from the University of Pennsylvania and Philadelphia Veterans Affairs Medical Center (VAMC) rheumatology practices24. Subjects with juvenile idiopathic arthritis (or another inflammatory arthritis), active cancer, a history of chronic diseases known to affect bone health, pregnancy, or who were unable to perform the muscle density or body composition assessments were excluded. The original pilot study was expanded to include a follow-up visit occurring 2–3 years later for most participants; 84 patients completed the study. The data collection procedures described below were conducted at both the initial visit and follow-up. The protocols were approved by the institutional review board (IRB) at University of Pennsylvania and the Philadelphia VAMC (approval number 01427 from the Corporal Michael J. Crescenz VAMC IRB), and informed consent was obtained from all participants.

Assessment of anthropometrics, race, and medical history. Weight and height were measured in light clothing and with shoes removed using a digital scale (Scaltronix) and stadiometer (Holtain Ltd.), respectively. BMI was calculated (kg/m2). Participants self-reported race (according to National Institute of Health categories), smoking status, and comorbidities (cardiac disease and diabetes). Comorbidities were confirmed in the medical record.

Whole-body dual-energy X-ray absorptiometry. Subjects underwent whole-body dual-energy X-ray absorptiometry (DXA) assessment using a Hologic densitometer (Delphi/Discovery Systems, Hologic, Inc.) to measure appendicular lean mass, total fat mass, and visceral adipose tissue area (VAT). Similar to the adjustment of weight for height to estimate BMI, body composition estimates were adjusted for height2 to generate appendicular lean mass index (ALMI; kg/m2) and fat mass index (FMI; kg/m2). Measurement of VAT by DXA has been previously validated25.

Peripheral quantitative computed tomography. Muscle density and muscle area measurements in the left lower leg were obtained by peripheral quantitative computed tomography (pQCT; Stratec XCT2000 12-detector unit, Orthometrix, Inc.) with a voxel size of 0.4 mm, slice thickness of 2.3 mm, and scan speed of 25 mm/s. All scans were analyzed with Stratec software version 6.00. Calf muscle and subcutaneous fat cross-sectional area (mm2) were assessed 66% proximal to the distal physis using threshold 40 mg/cm3 for fat/lean separation and 711 mg/cm3 for lean/bone separation. The pQCT measure of muscle density (mg/cm3) was used as a composite index of intra- and extramyocellular fat content, as previously described26,27. Edge-detection and threshold techniques were used to separate tissues (fat, muscle, and bone) based on attenuation characteristics that are directly related to tissue composition and density28,29. Images were filtered prior to being analyzed, using contour mode 3 (−101 mg/cm3) to find skin, and peel mode 2 (40 mg/cm3) to separate adipose and muscle/bone. Images were filtered subsequently with a combination 3 × 3, and double 5 × 5 kernel image filter that clearly defined the edge of the muscle using contour mode 31 (40 mg/cm3). All bone was identified using a threshold of 150 mg/cm3 and mathematically removed to generate results for muscle density. In our laboratory, the coefficient of variation (CV) for short-term precision has ranged from 0.5% to 1.6% for pQCT outcomes.

Dynamometric measurement of muscle strength. Muscle strength was assessed in several ways using the Biodex Multi-Joint System 3 Pro Dynamometer (Biodex Medical Systems Inc.). Peak isokinetic torque (ft-lbs) was measured in triplicate at the knee and lower leg (ankle). For lower leg (ankle) Biodex, we reported strength as peak isometric torque (ft-lbs) in dorsiflexion (with the foot placed in 20º plantarflexion) as previously described30. Peak isometric torque in flexion and extension at the knee was also reported (ft-lbs). Hand-grip strength (kg) was measured using a hand-grip dynamometer (Takei Scientific Instruments Co., Ltd.). A clinically important decrease in hand grip strength has been previously defined as 6.5 kg, and a clinically meaningful change in leg extensor power in older adults has been defined as 9–10%31,32.

Assessments of physical function and disability. Disability was assessed using the Health Assessment Questionnaire (HAQ), a widely used tool in RA. Briefly, 8 categories are assessed, including dressing and grooming, arising, eating, walking, hygiene, reach, and grip33. The survey also includes questions about work status, symptoms, and overall health status. Physical function was assessed using the Short Physical Performance Battery (SPPB), a simple test to measure lower extremity function using tasks that mimic daily activities. It examines static balance, gait speed, and timed chair rises34. SPPB testing was initiated later and was therefore measured in a smaller sample of participants (n = 69). Clinically important changes in HAQ and SPPB have been previously defined35,36. Based on these prior data, this study defined an important worsening of HAQ as an increase of 0.2 and an important worsening of SPPB as a decrease of 1.

Disease measures, inflammatory markers, and medical history. Medication use was determined by self-report and confirmed in the medical record. Erythrocyte sedimentation rate (ESR) was performed using the Westergren method. C-reactive protein (CRP) levels were measured using a Fixed Point Immuno Rate Assay. Creatinine was measured in the clinical laboratory, and estimated glomerular filtration rate (eGFR) was determined using the Modification of Diet in Renal Disease Study equation. Disease activity was quantified using the Disease Activity Score in 28 joints based on CRP (DAS28-CRP) and the modified DAS28 (M-DAS28)37. The M-DAS28 is a composite measure that includes the CRP, swollen joint count, and evaluator global score, and has been validated to correlate strongly with synovitis on magnetic resonance imaging (MRI) and radiographic damage progression. It was included to avoid bias related to incorporation of the patient global score in the DAS28-CRP, which is closely correlated with physical functioning scores (HAQ). Commercially available ELISAs (R&D Systems) were used to measure FGF-21 (CV = 2.4–3.4%) and adiponectin (CV = 3–5%). A V-Plex Plus Proinflammatory Panel 1 kit (Meso Scale Discovery) was used to measure tumor necrosis factor (TNF), interleukin 1 (IL-1), IL-6, and interferon-γ (IFN-γ). A multibiomarker disease activity (MBDA) test (Vectra DA; Crescendo Bioscience) was used to measure levels of 12 serum markers: vascular cell adhesion molecule I (VCAM-I), epidermal growth factor (EGF), vascular endothelial growth factor (VEGF), IL-6, TNF receptor type I (TNF-RI), matrix metalloproteinase 1 (MMP-1), MMP-3, bone glycoprotein 39 (YKL-40), leptin, resistin, serum amyloid A (SAA), and CRP. The MBDA score, a validated test of RA activity, was also analyzed38,39. IL-6 was measured in both the Meso Scale Discovery kit and the MBDA test. The primary analysis used the value from the MBDA test (results were similar for both). Cytokine assays were run on serum samples stored at –80ºC that had never been previously thawed. Radiographs of the hands and feet were performed, and Sharp/van der Heijde (SvdH) scores were determined by a trained radiologist (EGT).

Statistical analysis. Measures of muscle density and muscle area were converted to age-, sex-, and race-specific Z-scores based on distributions among a reference population, as has been previously described2,5,40,41. Z-scores represent the number of SD above or below the predicted value for a healthy control of the same age, sex, and race. Body composition (ALMI and FMI) measures were converted to Z-scores relative to a national reference population (National Health and Nutrition Examination Survey).

FGF-21 levels at baseline were first log-adjusted to normalize the distribution, and then a standardized FGF-21 value was constructed from the log-adjusted values, with mean and SD set to 0 and 1, respectively. The minimum measurable FGF-21 value was 31.3 pg/mL, so all measurements at this level and below were converted to 15.65 pg/mL for analysis (n = 10). A similar procedure for standardization was used for other cytokines, adipokines, and inflammatory markers with a skewed distribution (specifically IL-1, IL-6, IFN, TNF, ESR, CRP, leptin, EGF, VEGF, SAA, MMP-1, MMP-3, TNF-RI, and YKL-40).

Associations between FGF-21 levels and demographics, disease characteristics, and other serum markers were first assessed using individual linear regression analyses at baseline. All variables found to be moderately associated with FGF-21 levels (P < 0.20) were tested together in a multivariable model. A stepwise deletion process was then used to eliminate covariates with P > 0.10. The final model included standard demographics (age, sex) and all variables with P < 0.10 in the multivariable model after stepwise deletion.

Associations between selected outcome measures at baseline (muscle density and area Z-scores, strength outcomes, and physical functioning assessments) and FGF-21 levels at baseline were assessed using 2 linear regression models: 1 only adjusting for age and sex, and 1 also incorporating adjustments for important identified covariates. In each of these models, FGF-21 was tested as both a continuous and categorial variable (quartiles), comparing the highest quartile to all other quartiles. Models using muscle strength measures as outcomes included an adjustment for height.

To assess associations between FGF-21 and other known cytokines, adipokines, and inflammatory markers, linear regression analyses were performed at baseline between FGF-21 and each individual marker. These models were then tested including an adjustment for the previously identified covariates.

Linear regression analyses were conducted evaluating associations between baseline FGF-21 and per-year rates of change of each outcome measure over follow-up. The regression coefficients represent the difference in the rate of change in outcome per year associated with an FGF-21 level of 1 SD higher at baseline. To assess the clinical importance of these relationships, logistic regression models estimating the risk of clinically meaningful worsening in function, strength, and imaging outcomes were also performed. In the primary analysis, we considered death as a worsening in these outcomes; however, we also performed sensitivity analyses wherein participants who died were excluded from the analysis.

Analyses were performed with STATA 15.1 (StataCorp). Since a Bonferroni correction for multiple comparisons was considered overly conservative in the context of related outcomes, we evaluated instead for consistency across analyses.

RESULTS

Basic characteristics and description of cohort. A total of 113 patients with RA were enrolled in the study and 84 patients (74%) returned for follow-up assessment, at a median time of 2.68 years (IQR 2.30–3.56 yrs). The baseline characteristics of the study cohort are shown in Table 1. Supplementary Table 1 (available with the online version of this article) compares characteristics of patients who completed the study to those who were lost to follow-up or died; patients who completed the study were on average younger and had higher FMI Z-scores and lower FGF-21 values than those who did not complete the study.

View this table:
  • View inline
  • View popup
Table 1

Basic characteristics of study participants by FGF-21 quartile at baseline.

Factors associated with FGF-21 levels at baseline. Table 2 and Supplementary Table 2 (available with the online version of this article) display associations between FGF-21 levels and participant characteristics at baseline. In univariate models, older age, active smoking, cardiac disease, longer RA duration, greater BMI, and multiple measures of body fat (including FMI-Z, waist circumference, and visceral fat area) were all associated with greater FGF-21 levels. Higher eGFR and current methotrexate (MTX) use were associated with lower FGF-21 levels. In multivariate models, only age, visceral fat area, MTX use, and current smoking remained moderately associated (P < 0.1). None of the measures of RA disease activity or severity (specifically, M-DAS, DAS28-CRP, and SvdH score) were significantly associated with FGF-21 levels.

View this table:
  • View inline
  • View popup
Table 2

Associations between FGF-21 levels and participant demographics and disease characteristics at baseline.

Associations between FGF-21 and several cytokines, adipokines, and inflammatory measures were also assessed at baseline. Figure 1 shows results of linear regression analyses; each coefficient on the graph shows the effect of a 1-SD increase of each measure on standardized FGF-21 levels. Several markers, including TNF-RI, YKL-40, VEGF, and resistin, were significantly and positively associated with FGF-21, both before and after adjusting for age, sex, visceral fat area, smoking status, and MTX use. Supplementary Table 3 (available with the online version of this article) contains numerical results for these analyses.

Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.

Association between cytokines and inflammatory markers and FGF-21 levels. Graph shows regression coefficients from models regressing FGF-21 levels on each factor. Bars show 95% CI. FGF-21 and all factor levels were converted to standardized scores to allow for direct comparisons. Right-hand coefficients (triangle) for each marker are adjusted for age, sex, visceral fat area, current smoking, and methotrexate use (all at baseline). N = 106 (unadjusted model) and 104 (adjusted) for TNF-RI, YKL-40, VEGF, resistin, CRP, leptin, VCAM-1, IL-6, SAA, EGF, MMP1, and MMP3. N = 111 (unadjusted model) and 109 (adjusted) for ESR. N = 113 (unadjusted model) and 111 (adjusted) for TNF, IFN, IL-1, and adiponectin. CRP: C-reactive protein; ESR: erythrocyte sedimentation rate; EGF: epidermal growth factor; FGF: fibroblast growth factor; IFN-γ: interferon-γ; IL: interleukin; MMP: matrix metalloproteinase; SAA: serum amyloid A; TNF-RI: tumor necrosis factor receptor type I; VCAM: vascular cell adhesion molecule; VEGF: vascular endothelial growth factor; YKL-40: bone glycoprotein 39.

Associations between baseline FGF-21 levels and muscle and functional outcomes. At baseline, after adjusting for age, sex, visceral fat area, current smoking, and MTX use, FGF-21 levels were not associated with skeletal muscle outcomes (specifically muscle density Z-score, muscle area Z-score, peak isometric torque in flexion and extension at the knee, and hand grip strength). Over time, while there were modest associations noted between FGF-21 and the rates of decline of muscle density Z-score (β –0.06, 95% CI –0.12 to 0.008, P = 0.08) and muscle area Z-score (β –0.05, 95% CI –0.10 to 0.006, P = 0.08), baseline FGF-21 levels were also largely not associated with changes in skeletal muscle outcomes (Table 3).

View this table:
  • View inline
  • View popup
Table 3

Associations between FGF-21 values and muscle and strength variables.

Adjusting for age, sex, visceral fat area, current smoking, and MTX use, a top-quartile FGF-21 value at baseline was associated with both HAQ score (β 0.34, 95% CI 0.04–0.6, P = 0.03) and SPPB (β –1.68, 95% CI –2.94 to –0.41, P = 0.01). The highest quartile of FGF-21 was also associated with a significantly faster rate of decline in SPPB over time (β –0.57, 95% CI –1.04 to –0.09, P = 0.02; Table 4).

View this table:
  • View inline
  • View popup
Table 4

Associations between FGF-21 values and functional outcomes.

A higher FGF-21 level at baseline (per 1 SD) was associated with greater odds of a clinically meaningful worsening of HAQ score (OR 2.37, 95% CI 1.21–4.64, P = 0.01), and tended toward an association with a greater risk of significant worsening of muscle density Z-score (OR 1.76, 95% CI 0.89–3.47, P = 0.10) and muscle area Z-score (OR 1.85, 95% CI 0.88–3.89, P = 0.11). No association was seen with extension strength (OR 1.35, 95% CI 0.77–2.38, P = 0.30), flexion strength (OR 1.37, 95% CI 0.76–2.49, P = 0.30), grip strength (OR 1.42, 95% CI 0.71–2.85, P = 0.32), and SPPB (OR 1.09, 95% CI 0.42–2.79, P = 0.86; data not shown). All of these models included adjustments for age, sex, visceral fat area, smoking status, and MTX use. Figure 2 displays predicted probabilities of worsening in these outcomes by SD of FGF-21 level based on these models. Supplementary Table 4 (available with the online version of this article) displays results for the sensitivity analysis excluding patients who died; the results are similar. Greater FGF-21 levels (per 1 SD) were also associated with a greater risk of death before follow-up (OR 3.14, 95% CI 1.22–8.07, P = 0.02; unadjusted to avoid overfitting).

Figure 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 2.

Probability of a clinically meaningful negative change in selected measures at second visit, by baseline FGF-21 Z-score. * P < 0.05. Models include adjustments for age, sex, visceral fat area, current smoking, and methotrexate use (all at baseline). Clinically meaningful worsening was defined as follows, or as patient death before visit (N for each regression is listed as well): HAQ: increased by 0.2 (n = 89); SPPB: decreased by 1 (n= 51); extension and flexion strength: decreased by 10% (N = 78, 78); grip strength: decreased by 6.5 kg (n = 86); Muscle density and muscle area Z-score: decreased by 0.5 (n = 82, 76). FGF: fibroblast growth factor; HAQ: Health Assessment Questionnaire; SPPB: Short Physical Performance Battery.

DISCUSSION

To our knowledge, this is the first study evaluating longitudinal associations between FGF-21 and RA disease characteristics, obesity, skeletal muscle deficits, and physical functioning. We observed associations between FGF-21 and greater age, smoking, visceral adiposity, and elevations in inflammatory mediators including TNF-RI, YKL-40, VEGF, and resistin. This study also demonstrated associations between FGF-21 and poor physical functioning, as well as deteriorations in functioning over several years. Overall, these observations support the hypothesis that FGF-21 is a potential marker of adverse inflammatory processes that could predict future functional declines in this population.

The baseline patient characteristics associated with FGF-21 levels are consistent with prior results derived from the general population. We observed that FGF-21 levels were highly associated with all measures of body fat in this study. In other populations, FGF-21 has been observed to be elevated in the contexts of obesity, metabolic syndrome, type 2 diabetes, hypertension, and atherosclerosis10,11,12,13,14,15,42. FGF-21’s associations with smoking, increased age, cardiac disease, and kidney disease have also been reported previously42,43,44,45. Previous studies have reported associations with sex, but this was not observed in our study43.

The observation that MTX use is associated with lower FGF-21 levels is novel. This could indicate that MTX works to ameliorate the inflammatory processes that lead to increases in serum FGF-21. Alternatively, metabolic obesity is a risk factor for elevations in liver enzymes among patients taking MTX46, possibly resulting in drug discontinuation in patients with high FGF-21 levels related to the obesity. Further study will be needed to determine if MTX might have direct beneficial metabolic effects in RA.

At baseline, FGF-21 was not found to be associated with muscle density, muscle area, or muscle strength. However, significant associations were found with measures of physical functioning, and elevated FGF-21 levels were associated with faster rates of decline in functioning. Additionally, while not all the longitudinal comparisons between FGF-21 and changes in muscle variables were statistically significant in this small study, there was remarkable consistency nevertheless in the direction of the effects. These longitudinal models support the hypothesis that FGF-21 levels in patients with RA are reflective of a metabolically adverse profile that is associated with deteriorations in strength and physical functioning47,48,49,50. Notably, FGF-21 at baseline was not found to be associated with any standard composite measures of RA disease activity or severity (including M-DAS, DAS28, SvdH score, and the MBDA score). This result indicates that the processes leading to elevated FGF-21, and therefore the associations identified in this study, are not necessarily related to RA activity, at least as has been historically measured in clinic. However, FGF-21 was associated with several individual serum proteins (TNF-RI, YKL-40, VEGF, and resistin) included in the MBDA assay, even after adjusting for age, sex, visceral fat area, MTX use, and smoking status38,39. The associations with these markers could suggest links between FGF-21 and various components of the RA disease process, and may provide further evidence of an association with inflammatory stress not accounted for in many clinical measures of RA disease activity (including the MBDA composite score itself).

Although we believe this is the largest longitudinal study to date evaluating the role of FGF-21 in RA, the small sample size limited the power to detect modest associations. While the results suggest that FGF-21 levels are associated with deteriorating physical function, larger studies will be needed to more accurately assess its prognostic value and identify levels at which FGF-21 represents a clinically significant risk of decline. Additionally, many patients died or were lost to follow-up, and patients who did complete the study were more likely to be younger, have a more normal FMI Z-score, and have a lower M-DAS. Therefore, given that the sickest patients may be more likely to be lost to follow-up, some of the patients with the highest FGF-21 and the biggest declines in functioning might have been lost, thereby underestimating the associations with FGF-21. Indeed, patients who either died or were lost to follow-up had significantly higher baseline FGF-21 than those who completed the study; this was driven by a very high FGF-21 average among patients who died. While this is an interesting result, the small sample size (only 7 patients died) limited statistical power to evaluate for associations with cause-specific mortality. Finally, while this study adjusted for a wide variety of potential confounders, unobserved confounders may still be present.

Strengths of this study include the comprehensive array of disease measures and muscle quality, strength, and physical functioning assessments collected for each patient. These measurements allowed us to assess the effects of FGF-21 beyond its effect on typical measures of RA disease activity. Additionally, the longitudinal nature of the study allowed us to assess temporal relationships important for understanding the potential prognostic value of FGF-21.

In conclusion, factors associated with higher FGF-21 levels in RA include increased age, smoking, obesity, and MTX use, and associations with deteriorating physical functioning support the hypothesis that serum FGF-21 serves as a biomarker of adverse metabolic processes that can predict greater functional decline. This study builds upon existing research by demonstrating temporal relationships between FGF-21 and long-term functional changes in patients with RA.

ONLINE SUPPLEMENT

Supplementary material accompanies the online version of this article.

Footnotes

  • JFB was supported by a Veterans Affairs Clinical Science Research and Development Career Development Award and VA Merit Award (IK2 CX000955, I01 CX001703), and by the University of Pennsylvania Clinical and Translational Research Center (UL1 RR024134). Research reported in this publication was supported by the National Center for Advancing Translational Sciences of the National Institutes of Health under award number UL1TR001878. The contents of this work do not represent the views of the Department of Veterans Affairs or the US Government.

  • The authors declare no conflicts of interest.

  • Accepted for publication October 21, 2020.
  • Copyright © 2021 by the Journal of Rheumatology

REFERENCES

  1. 1.↵
    1. Walsmith J,
    2. Roubenoff R
    . Cachexia in rheumatoid arthritis. Int J Cardiol 2002;85:89-99.
    OpenUrlCrossRefPubMed
  2. 2.↵
    1. Baker JF,
    2. Von Feldt J,
    3. Mostoufi-Moab S,
    4. Noaiseh G,
    5. Taratuta E,
    6. Kim W, et al.
    Deficits in muscle mass, muscle density, and modified associations with fat in rheumatoid arthritis. Arthritis Care Res 2014;66:1612-8.
    OpenUrlCrossRef
  3. 3.↵
    1. Khoja SS,
    2. Moore CG,
    3. Goodpaster BH,
    4. Delitto A,
    5. Piva SR
    . Skeletal muscle fat and its association with physical function in rheumatoid arthritis. Arthritis Care Res 2018;70:333-42.
    OpenUrl
  4. 4.↵
    1. Kramer HR,
    2. Fontaine KR,
    3. Bathon JM,
    4. Giles JT
    . Muscle density in rheumatoid arthritis: associations with disease features and functional outcomes. Arthritis Rheum 2012;64:2438-50.
    OpenUrlCrossRefPubMed
  5. 5.↵
    1. Baker JF,
    2. Giles JT,
    3. Weber D,
    4. Leonard MB,
    5. Zemel BS,
    6. Long J, et al.
    Assessment of muscle mass relative to fat mass and associations with physical functioning in rheumatoid arthritis. Rheumatology 2017;56:981-8.
    OpenUrl
  6. 6.↵
    1. Kliewer SA,
    2. Mangelsdorf DJ
    . A dozen years of discovery: insights into the physiology and pharmacology of FGF21. Cell Metab 2019;29:246-53.
    OpenUrlCrossRefPubMed
  7. 7.↵
    1. Kim KH,
    2. Lee MS
    . FGF21 as a stress hormone: the roles of FGF21 in stress adaptation and the treatment of metabolic diseases. Diabetes Metab J 2014;38:245-51.
    OpenUrlCrossRefPubMed
  8. 8.↵
    1. Lewis JE,
    2. Ebling FJP,
    3. Samms RJ,
    4. Tsintzas K
    . Going back to the biology of FGF21: new insights. Trends Endocrinol Metab 2019;30:491-504.
    OpenUrl
  9. 9.
    1. Gómez-Sámano MÁ,
    2. Grajales-Gómez M,
    3. Zuarth-Vázquez JM,
    4. Navarro-Flores MF,
    5. Martínez-Saavedra M,
    6. Juárez-León ÓA, et al.
    Fibroblast growth factor 21 and its novel association with oxidative stress. Redox Biol 2017;11:335-41.
    OpenUrl
  10. 10.↵
    1. Wang YS,
    2. Ye J,
    3. Cao YH,
    4. Zhang R,
    5. Liu Y,
    6. Zhang SW, et al.
    Increased serum/plasma fibroblast growth factor 21 in type 2 diabetes mellitus: a systematic review and meta-analysis. Postgrad Med J 2019;95:134-9.
    OpenUrlAbstract/FREE Full Text
  11. 11.↵
    1. Fisher FM,
    2. Chui PC,
    3. Antonellis PJ,
    4. Bina HA,
    5. Kharitonenkov A,
    6. Flier JS, et al.
    Obesity is a fibroblast growth factor 21 (FGF21)-resistant state. Diabetes 2010;59:2781-9.
    OpenUrlAbstract/FREE Full Text
  12. 12.↵
    1. Giralt M,
    2. Gavaldà-Navarro A,
    3. Villarroya F
    . Fibroblast growth factor-21, energy balance and obesity. Mol Cell Endocrinol 2015;418:66-73.
    OpenUrlCrossRefPubMed
  13. 13.↵
    1. Esfahani M,
    2. Baranchi M,
    3. Goodarzi MT
    . The implication of hepatokines in metabolic syndrome. Diabetes Metab Syndr 2019;13:2477-80.
    OpenUrl
  14. 14.↵
    1. Woo YC,
    2. Lee CH,
    3. Fong CHY,
    4. Xu A,
    5. Tso AWK,
    6. Cheung BMY, et al.
    Serum fibroblast growth factor 21 is a superior biomarker to other adipokines in predicting incident diabetes. Clin Endocrinol 2017;86:37-43.
    OpenUrl
  15. 15.↵
    1. Dushay J,
    2. Chui PC,
    3. Gopalakrishnan GS,
    4. Varela-Rey M,
    5. Crawley M,
    6. Fisher FM, et al.
    Increased fibroblast growth factor 21 in obesity and nonalcoholic fatty liver disease. Gastroenterology 2010;139:456-63.
    OpenUrlCrossRefPubMed
  16. 16.↵
    1. Tezze C,
    2. Romanello V,
    3. Sandri M
    . FGF21 as modulator of metabolism in health and disease. Front Physiol 2019;10:419.
    OpenUrl
  17. 17.↵
    1. Franz K,
    2. Ost M,
    3. Otten L,
    4. Herpich C,
    5. Coleman V,
    6. Endres AS, et al.
    Higher serum levels of fibroblast growth factor 21 in old patients with cachexia. Nutrition 2019;63-64:81-6.
    OpenUrl
  18. 18.↵
    1. Praktiknjo M,
    2. Djayadi N,
    3. Mohr R,
    4. Schierwagen R,
    5. Bischoff J,
    6. Dold L, et al.
    Fibroblast growth factor 21 is independently associated with severe hepatic steatosis in non-obese HIV-infected patients. Liver Int 2019;39:1514-20.
    OpenUrl
  19. 19.↵
    1. Ost M,
    2. Coleman V,
    3. Voigt A,
    4. van Schothorst EM,
    5. Keipert S,
    6. van der Stelt I, et al.
    Muscle mitochondrial stress adaptation operates independently of endogenous FGF21 action. Mol Metab 2015; 5:79-90.
    OpenUrl
  20. 20.↵
    1. Hulejová H,
    2. Andrés Cerezo L,
    3. Kuklová M,
    4. Pecha O,
    5. Vondráček T,
    6. Pavelka K, et al.
    Novel adipokine fibroblast growth factor 21 is increased in rheumatoid arthritis. Physiol Res 2012;61:489-94.
    OpenUrl
  21. 21.↵
    1. Yu D,
    2. Ye X,
    3. Che R,
    4. Wu Q,
    5. Qi J,
    6. Song L, et al.
    FGF21 exerts comparable pharmacological efficacy with adalimumab in ameliorating collagen-induced rheumatoid arthritis by regulating systematic inflammatory response. Biomed Pharmacother 2017;89:751-60.
    OpenUrl
  22. 22.↵
    1. Yu Y,
    2. Li S,
    3. Liu Y,
    4. Tian G,
    5. Yuan Q,
    6. Bai F, et al.
    Fibroblast growth factor 21 (FGF21) ameliorates collagen-induced arthritis through modulating oxidative stress and suppressing nuclear factor-kappa B pathway. Int Immunopharmacol 2015;25:74-82.
    OpenUrl
  23. 23.↵
    1. Baker JF,
    2. Mostoufi-Moab S,
    3. Long J,
    4. Taratuta E,
    5. Leonard MB,
    6. Zemel B
    . Low muscle density is associated with deteriorations in muscle strength and physical functioning in rheumatoid arthritis. Arthritis Care Res 2019 Dec 16 (E-pub ahead of print).
  24. 24.↵
    1. Aletaha D,
    2. Neogi T,
    3. Silman AJ,
    4. Funovits J,
    5. Felson DT,
    6. Bingham CO, et al.
    2010 Rheumatoid Arthritis classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative. Arthritis Rheum 2010;62:2569-81.
    OpenUrlCrossRefPubMed
  25. 25.↵
    1. Rothney MP,
    2. Xia Y,
    3. Wacker WK,
    4. Martin FP,
    5. Beaumont M,
    6. Rezzi S, et al.
    Precision of a new tool to measure visceral adipose tissue (VAT) using dual-energy X-Ray absorptiometry (DXA). Obesity 2013;21:134.
    OpenUrl
  26. 26.↵
    1. Farr JN,
    2. Funk JL,
    3. Chen Z,
    4. Lisse JR,
    5. Blew RM,
    6. Lee VR, et al.
    Skeletal muscle fat content is inversely associated with bone strength in young girls. J Bone Miner Res 2011;26:2217-25.
    OpenUrlCrossRefPubMed
  27. 27.↵
    1. Lang T,
    2. Cauley JA,
    3. Tylavsky F,
    4. Bauer D,
    5. Cummings S,
    6. Harris TB
    . Computed tomographic measurements of thigh muscle cross-sectional area and attenuation coefficient predict hip fracture: the health, aging, and body composition study. J Bone Miner Res 2010;25:513-9.
    OpenUrlCrossRefPubMed
  28. 28.↵
    1. Goodpaster BH,
    2. Kelley DE,
    3. Thaete FL,
    4. He J,
    5. Ross R
    . Skeletal muscle attenuation determined by computed tomography is associated with skeletal muscle lipid content. J Appl Physiol 2000;89:104-10.
    OpenUrlCrossRefPubMed
  29. 29.↵
    1. Kelley DE,
    2. Slasky BS,
    3. Janosky J
    . Skeletal muscle density: effects of obesity and non-insulin-dependent diabetes mellitus. Am J Clin Nutr 1991;54:509-15.
    OpenUrlAbstract/FREE Full Text
  30. 30.↵
    1. Wetzsteon RJ,
    2. Kalkwarf HJ,
    3. Shults J,
    4. Zemel BS,
    5. Foster BJ,
    6. Griffin L, et al.
    Volumetric bone mineral density and bone structure in childhood chronic kidney disease. J Bone Miner Res 2011; 26:2235-44.
    OpenUrlCrossRefPubMed
  31. 31.↵
    1. Kim JK,
    2. Park MG,
    3. Shin SJ
    . What is the minimum clinically important difference in grip strength? Clin Orthop Relat Res 2014;472:2536-41.
    OpenUrlCrossRefPubMed
  32. 32.↵
    1. Kirn DR,
    2. Reid KF,
    3. Hau C,
    4. Phillips EM,
    5. Fielding RA
    . What is a clinically meaningful improvement in leg-extensor power for mobility-limited older adults? J Gerontol A Biol Sci Med Sci 2016;71:632-6.
    OpenUrlCrossRefPubMed
  33. 33.↵
    1. Wolfe F,
    2. Michaud K,
    3. Pincus T
    . Development and validation of the health assessment questionnaire II: a revised version of the health assessment questionnaire. Arthritis Rheum 2004;50:3296-305.
    OpenUrlCrossRefPubMed
  34. 34.↵
    1. Corsonello A,
    2. Lattanzio F,
    3. Pedone C,
    4. Garasto S,
    5. Laino I,
    6. Bustacchini S, et al.
    Prognostic significance of the short physical performance battery in older patients discharged from acute care hospitals. Rejuvenation Res 2012;15:41-8.
    OpenUrlCrossRefPubMed
  35. 35.↵
    1. Perera S,
    2. Mody SH,
    3. Woodman RC,
    4. Studenski SA
    . Meaningful change and responsiveness in common physical performance measures in older adults. J Am Geriatr Soc 2006;54:743-9.
    OpenUrlCrossRefPubMed
  36. 36.↵
    1. Pope JE,
    2. Khanna D,
    3. Norrie D,
    4. Ouimet JM
    . The minimally important difference for the health assessment questionnaire in rheumatoid arthritis clinical practice is smaller than in randomized controlled trials. J Rheumatol 2009;36:254-9.
    OpenUrlAbstract/FREE Full Text
  37. 37.↵
    1. Baker JF,
    2. Conaghan PG,
    3. Smolen JS,
    4. Aletaha D,
    5. Shults J,
    6. Emery P, et al.
    Development and validation of modified disease activity scores in rheumatoid arthritis: superior correlation with magnetic resonance imaging-detected synovitis and radiographic progression. Arthritis Rheumatol 2014;66:794-802.
    OpenUrl
  38. 38.↵
    1. Oderda GM,
    2. Lawless GD,
    3. Wright GC,
    4. Nussbaum SR,
    5. Elder R,
    6. Kim K, et al.
    The potential impact of monitoring disease activity biomarkers on rheumatoid arthritis outcomes and costs. Per Med 2018;15:291-301.
    OpenUrl
  39. 39.↵
    1. Johnson TM,
    2. Register KA,
    3. Schmidt CM,
    4. O’Dell JR,
    5. Mikuls TR,
    6. Michaud K, et al.
    Correlation of the multi-biomarker disease activity score with rheumatoid arthritis disease activity measures: a systematic review and meta-analysis. Arthritis Care Res 2019;71:1459-72.
    OpenUrl
  40. 40.↵
    1. Weber D,
    2. Long J,
    3. Leonard MB,
    4. Zemel B,
    5. Baker JF
    . Development of novel methods to define deficits in appendicular lean mass relative to fat mass. PLoS One 2016;11:e0164385.
    OpenUrl
  41. 41.↵
    1. Kelly TL,
    2. Wilson KE,
    3. Heymsfield SB
    . Dual energy X-Ray absorptiometry body composition reference values from NHANES. PLoS One 2009;4:e7038.
    OpenUrlCrossRefPubMed
  42. 42.↵
    1. Chow WS,
    2. Xu A,
    3. Woo YC,
    4. Tso AWK,
    5. Cheung SCW,
    6. Fong CHY, et al.
    Serum fibroblast growth factor-21 levels are associated with carotid atherosclerosis independent of established cardiovascular risk factors. Arterioscler Thromb Vasc Biol 2013;33:2454-9.
    OpenUrlAbstract/FREE Full Text
  43. 43.↵
    1. Kralisch S,
    2. Tönjes A,
    3. Krause K,
    4. Richter J,
    5. Lossner U,
    6. Kovacs P, et al.
    Fibroblast growth factor-21 serum concentrations are associated with metabolic and hepatic markers in humans. J Endocrinol 2013;216:135-43.
    OpenUrlAbstract/FREE Full Text
  44. 44.↵
    1. Nakanishi K,
    2. Nishida M,
    3. Harada M,
    4. Ohama T,
    5. Kawada N,
    6. Murakami M, et al.
    Klotho-related molecules upregulated by smoking habit in apparently healthy men: a cross-sectional study. Sci Rep 2015;5:14230.
    OpenUrl
  45. 45.↵
    1. Suassuna PGA,
    2. de Paula RB,
    3. Sanders-Pinheiro H,
    4. Moe OW,
    5. Hu MC
    . Fibroblast growth factor 21 in chronic kidney disease. J Nephrol 2019;32:365-77.
    OpenUrl
  46. 46.↵
    1. Mori S,
    2. Arima N,
    3. Ito M,
    4. Fujiyama S,
    5. Kamo Y,
    6. Ueki Y
    . Non-alcoholic steatohepatitis-like pattern in liver biopsy of rheumatoid arthritis patients with persistent transaminitis during low-dose methotrexate treatment. PLoS ONE 2018;13:e0203084.
    OpenUrl
  47. 47.↵
    1. George MD,
    2. Baker JF
    . The obesity epidemic and consequences for rheumatoid arthritis care. Curr Rheumatol Rep 2016;18:6.
    OpenUrlCrossRefPubMed
  48. 48.↵
    1. Baker JF,
    2. Stokes A,
    3. Mikuls TR,
    4. George M,
    5. England BR,
    6. Sayles H, et al.
    Current and early life weight and associations with mortality in rheumatoid arthritis. Clin Exp Rheumatol 2019;37:768-73.
    OpenUrl
  49. 49.↵
    1. Wolfe F,
    2. Michaud K
    . Effect of body mass index on mortality and clinical status in rheumatoid arthritis. Arthritis Care Res 2012;64:1471-9.
    OpenUrlCrossRef
  50. 50.↵
    1. Baker JF,
    2. George M,
    3. Baker DG,
    4. Toedter G,
    5. Von Feldt JM,
    6. Leonard MB
    . Associations between body mass, radiographic joint damage, adipokines and risk factors for bone loss in rheumatoid arthritis. Rheumatology 2011;50:2100-7.
    OpenUrlCrossRefPubMed
PreviousNext
Back to top

In this issue

The Journal of Rheumatology
Vol. 48, Issue 4
1 Apr 2021
  • Table of Contents
  • Table of Contents (PDF)
  • Index by Author
  • Editorial Board (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word about The Journal of Rheumatology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Circulating Fibroblast Growth Factor-21 Levels in Rheumatoid Arthritis: Associations With Disease Characteristics, Body Composition, and Physical Functioning
(Your Name) has forwarded a page to you from The Journal of Rheumatology
(Your Name) thought you would like to see this page from the The Journal of Rheumatology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Circulating Fibroblast Growth Factor-21 Levels in Rheumatoid Arthritis: Associations With Disease Characteristics, Body Composition, and Physical Functioning
Patrick W. Gould, Babette S. Zemel, Elena G. Taratuta, Joshua F. Baker
The Journal of Rheumatology Apr 2021, 48 (4) 504-512; DOI: 10.3899/jrheum.200673

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero

 Request Permissions

Share
Circulating Fibroblast Growth Factor-21 Levels in Rheumatoid Arthritis: Associations With Disease Characteristics, Body Composition, and Physical Functioning
Patrick W. Gould, Babette S. Zemel, Elena G. Taratuta, Joshua F. Baker
The Journal of Rheumatology Apr 2021, 48 (4) 504-512; DOI: 10.3899/jrheum.200673
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Abstract
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • ONLINE SUPPLEMENT
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • References
  • PDF
  • eLetters

Keywords

BIOMARKERS
BODY COMPOSITION
DISEASE ACTIVITY
fibroblast growth factor 21
PHYSICAL FUNCTIONING
RHEUMATOID ARTHRITIS

Related Articles

Cited By...

More in this TOC Section

  • Risk Factors for Dementia in Patients With Incident Rheumatoid Arthritis: A Population-Based Cohort Study
  • Can Patients With Controlled Rheumatoid Arthritis Taper Methotrexate From Targeted Therapy and Sustain Remission? A Systematic Review and Metaanalysis
  • Physical Activity Associates With Lower Systemic Inflammatory Gene Expression in Rheumatoid Arthritis
Show more Rheumatoid Arthritis

Similar Articles

Keywords

  • biomarkers
  • body composition
  • disease activity
  • fibroblast growth factor 21
  • physical functioning
  • rheumatoid arthritis

Content

  • First Release
  • Current
  • Archives
  • Collections
  • Audiovisual Rheum
  • COVID-19 and Rheumatology

Resources

  • Guide for Authors
  • Submit Manuscript
  • Author Payment
  • Reviewers
  • Advertisers
  • Classified Ads
  • Reprints and Translations
  • Permissions
  • Meetings
  • FAQ
  • Policies

Subscribers

  • Subscription Information
  • Purchase Subscription
  • Your Account
  • Terms and Conditions

More

  • About Us
  • Contact Us
  • My Alerts
  • My Folders
  • Privacy/GDPR Policy
  • RSS Feeds
The Journal of Rheumatology
The content of this site is intended for health care professionals.
Copyright © 2022 by The Journal of Rheumatology Publishing Co. Ltd.
Print ISSN: 0315-162X; Online ISSN: 1499-2752
Powered by HighWire