Journal List > J Rheum Dis > v.30(2) > 1516082137

Lee and Song: Circulating leptin and its correlation with rheumatoid arthritis activity: a meta-analysis

Abstract

Objective

The aim of the study was to investigate the association between the levels of leptin in the circulating of individuals with rheumatoid arthritis (RA) and the severity of the disease.

Methods

We looked through the databases of Embase, Medline, and the Cochrane Library. We conducted a meta-analysis on the correlations between circulating leptin and the Disease Activity Score 28-erythrocyte sedimentation rate (DAS28-ESR) and C-reactive protein (CRP) levels in RA patients, as well as a meta-analysis of circulating or circulating leptin levels in RA patients.

Results

This meta-analysis study analyzed 42 different comparisons from 37 different publications, including a total of 2,350 patients with RA and 1,815 controls. The RA group had substantially higher leptin levels than the control group (standardized mean difference [SMD]=0.507, 95% confidence interval [CI]=0.309~0.704, p<0.001). The finding that RA patients had higher leptin levels was unaffected by sample size. The correlation between circulating leptin levels and DAS28 is statistically significant (correlation coefficient=0.247, 95% CI=0.087~0.396, p=0.003). Leptin levels are also correlated with CRP levels (correlation coefficient=0.203, 95% CI=0.048~0.349, p=0.010).

Conclusion

This comprehensive meta-analysis demonstrates that the circulating leptin levels of RA patients are elevated, and provides compelling evidence of the significant relationship between leptin levels and the activity of RA. The findings of this research suggest that leptin plays a significant role in the pathophysiology of this disease.

INTRODUCTION

Rheumatoid arthritis (RA) is a persistent and debilitating autoimmune disease that affects the joints and causes inflammation and damage to the surrounding tissue. The disease is initiated by the invasion of the synovium by various immune system cells, including T cells, B cells, macrophages, dendritic cells, and neutrophils. This leads to a chronic state of inflammation that can have a significant impact on the individual’s quality of life and life expectancy.
Leptin, a hormone produced primarily by white adipose tissue cells, was initially believed to play a role in regulating hunger and energy levels. However, recent research has revealed that leptin has a much broader role in the regulation of inflammation. Leptin and its receptors are similar in structure and function to cytokines of the IL-6 family and play a role in mediating the immune response. Leptin has both pro-inflammatory and anti-inflammatory effects, and it can activate the Th1 phenotype of T cells, leading to the production of pro-inflammatory cytokines such as TNF-[Symbol - a] and IL-6. However, it can also increase the production of anti-inflammatory molecules, such as IL-1 receptor antagonists and IL-4.
Leptin levels have been found to increase in conditions that cause inflammation and play a role in the regulation of the immune response in autoimmune diseases. Despite the potential importance of leptin in RA, the relationship between leptin levels and disease activity has produced conflicting results. Some studies have shown a positive relationship between leptin levels and RA, while others have shown no relationship or even a negative correlation. This discrepancy in the literature may be due to small sample sizes, low statistical power, clinical heterogeneity, or leptin gene expression owing to the energy or fat status [1]. The purpose of this research is to examine the relationship between circulating leptin levels and RA patients using a meta-analytic approach.

MATERIALS AND METHODS

Examining academic literature and gathering data

We searched for studies that compared circulating leptin levels between RA patients and healthy controls, or that examined the relationship between leptin levels and RA disease activity. Publications were discovered by searching Medline (from 1971), Embase (from 1946), and Cochrane databases (from 1993) (up to December 2022). The terms, “rheumatoid arthritis” and “leptin” were used for the literature search. References of available articles were thoroughly investigated in order to discover research that the aforementioned key phrases had missed. To be included, studies had to be case-control or cohort studies, and give leptin levels in both RA and controls, or provide pertinent information on the relationship between circulating leptin levels and RA activity, as defined by Disease Activity Score 28-erythrocyte sedimentation rate (DAS28-ESR) or C-reactive protein (CRP) level. Each study’s authors, publication years, ethnicities, numbers, means and standard deviations, and correlation coefficients were gathered. Using the Newcastle–Ottawa scale, we evaluated the overall quality of the meta-analysis studies. Six to nine points imply high methodological quality, with nine being the highest possible score.

Statistical analyses

We gathered data from studies to look for associations between leptin and RA, as well as to determine if leptin is linked to DAS28 or CRP. Results were consistently presented as standard deviations of the mean and 95% confidence intervals (Cis). Using Cochran’s Q-statistics, we examined both within- and between-trial heterogeneity and variance [2]. If the Q-statistic indicated trial heterogeneity, the random-effects model was used (p<0.10). Elsewhere, a fixed-effects model was used. For statistical analysis, a comprehensive meta-analysis was used (Biostat, Englewood, NJ, USA). p-values less than 0.05 were regarded statistically significant.

Test of heterogeneity

In a meta-regression analysis, ethnicity, publication year, and sample size were used to better comprehend the observed heterogeneity in the meta-analysis. We ran a sensitivity analysis to see how the pooled standardized mean difference (SMD) would change if individual trials were omitted. We used the “trim and fill” procedure to address the publication bias in the summary estimates.

RESULTS

Papers included into the meta-analysis

We discovered 37 articles for this meta-analysis [3-39] (Figure 1). Five of the studies reported data pertaining to two distinct groups. For the meta-analysis, 2,350 RA patients and 1,815 controls were selected from 42 comparisons (Table 1). The quality of research was similarly high across the board (all studies obtained scores between 6 and 8). Table 1 contains the demographic information for each participant.

Circulating leptin concentrations in rheumatoid arthritis patients and healthy persons.

The RA group had substantially higher leptin levels than the control group (SMD=0.507, 95% CI=0.309~0.704, p<0.001) (Table 2, Figure 2). Leptin levels in the RA group were also higher in Caucasians, Arabs, and Hispanics (SMD=0.418, 95% CI=0.145~0.692, p=0.003; SMD=1.317, 95% CI=0.554~2.081, p=0.001; SMD=0.652, 95% CI=0.317~0.988, p=0.001, respectively) (Table 2, Figure 2). The fact that RA patients had higher leptin levels was unaffected by sample size (Table 2).

The correlation between circulating leptin levels and RA activity.

The link between circulating leptin levels and DAS28-ESR is statistically significant (correlation coefficient=0.247, 95% CI=0.087~0.396, p=0.003) (Figure 3, Table 3). Leptin levels are also associated with CRP levels (correlation coefficient=0.203, 95% CI=0.048~0.349, p=0.010) (Table 3).

Heterogeneity and publication bias

A meta-analysis of leptin levels in RA patients revealed heterogeneity across studies (Table 2). In a meta-analysis of leptin levels in RA patients, ethnicity and sample size did not impact heterogeneity, but publication year was a significant predictor. As the publication year becomes more recent, there was a decrease in the heterogeneity of the study’s findings, indicating a trend towards greater consistency and reliability in research over time. A sensitivity analysis found that the omission of a single study did not significantly impact the meta-findings analyses. The funnel plot was asymmetrical, thus, the “trim and fill” method was used to correct this (Figure 4). In spite of the modification, the substantial SMD (SMD=0.774, 95% CI=0.565~0.975) remained unaltered.

DISCUSSION

Leptin regulation is crucial for maintaining optimal immunological and neuroendocrine function. As previously documented, leptin has the ability to suppress the development of T-cells into the Th1 phenotype, activate monocytes/macrophages and stimulate the production of proinflammatory cytokines. Moreover, it has been observed that proinflammatory cytokines can increase the levels of leptin in circulation. Leptin plays a significant role in T-cell-mediated inflammation by regulating T-helper cell activity. This regulation results in the induction of macrophages and granulocytes, two cell types that contribute to lymphopoiesis and myelopoiesis, leading to an increase in phagocytosis and the production of proinflammatory cytokines. Interactions between the immune system and neuroendocrine system may also contribute to the development of RA. However, the specific role of leptin in chronic inflammatory diseases such as RA is still uncertain.
This meta-analysis showed that the RA group had significantly higher leptin levels in the circulating compared to the control group. The study also discovered a connection between leptin levels and RA activity using the DAS28 and CRP. It was noted that the clinical improvement of individuals with RA who fasted was associated with a decrease in circulating leptin levels and a transition to Th2 cytokine production, further emphasizing the impact of adipocytokines on the proinflammatory state in RA. These findings suggest that leptin might have the ability to induce a Th1 response and change the inflammatory process in RA. Leptin levels in the RA group were not statistically differentto those seen in Asians. There are several possible reasons for the lack of noticeable statistical differences in leptin levels between the RA and control groups among individuals of Asian descent. These could include the impact of confounding variables, the heterogeneity within the RA group, and the diversity of ethnic backgrounds among the participants. Furthermore, genetic and environmental factors may also have contributed to the observed levels of leptin.
However, several issues were identified in this meta-analysis that need to be addressed. Firstly, there is a lack of large-scale studies examining the relationship between leptin levels and RA activity. Secondly, the variety of publications evaluated might have influenced the results, and factors such as body mass index (BMI), sex, and a lack of clinical data were not specifically assessed. It has been found that circulating leptin levels were highly correlated with BMI, with the exception of the BMI range near the bottom of the U shape [40]. Despite conducting a sensitivity test and meta-regression analysis, there was not enough data to draw definitive conclusions. Thirdly, while we did ethnicity-based analyses to investigate possible variations in the association between leptin levels and RA activity across various ethnic groups, we acknowledge that a specific area does not necessarily reflect a particular ethnicity. Despite these limitations, the meta-analysis provides the most comprehensive data to date on leptin status in RA patients, and the results suggest that leptin may play a role in the development and progression of RA.

CONCLUSION

In conclusion, this comprehensive meta-analysis, which incorporates data from 37 separate studies and a total of 2,350 RA patients and 1,815 controls demonstrates that the circulating leptin levels of RA patients are elevated, and provides compelling evidence of the significant relationship between leptin levels and the activity of RA. The findings of this research suggesting that leptin plays a significant role in the pathophysiology of this disease. Further large-scale studies are needed to establish the exact role of leptin in RA and to determine if targeting leptin levels can be a potential therapeutic strategy for the treatment of RA.

Notes

FUNDING

None.

CONFLICT OF INTEREST

Y.H.L. has been an editorial board member since March 2003, but has no role in the decision to publish this article. G.G.S. has no conflict of interest.

AUTHOR CONTRIBUTIONS

Y.H.L. was involved in conception and design of study, acquisition of data, analysis and/or interpretation of data, drafting the manuscript, revising the manuscript critically for important intellectual content. G.G.S. was involved in conception and design of study, analysis and interpretation of data, drafting the manuscript.

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Fig. 1
The procedure for selecting the studies included in this meta-analysis. RA: rheumatoid arthritis.
jrd-30-2-116-f1.tif
Fig. 2
Meta-analysis investigating the relationship between leptin and RA, taking into account all study participants (A) and considering any racial groups (B). CI: confidence interval, RA: rheumatoid arthritis.
jrd-30-2-116-f2.tif
Fig. 3
Meta-analysis of the relationship between leptin and the DAS28-ESR (A) as well as CRP (B). CI: confidence interval, DAS28-ESR: Disease Activity Score 28-erythrocyte sedimentation rate, CRP: C-reactive protein.
jrd-30-2-116-f3.tif
Fig. 4
The funnel plot displaying the results of the studies that investigated the connection between RA and leptin levels. The filled circles indicate the studies that demonstrate publication bias. The diamonds at the bottom of the graph represent the summary estimates of the impact, both before and after accounting for publication bias. RA: rheumatoid arthritis.
jrd-30-2-116-f4.tif
Table 1
Individual study characteristics analyzed in the meta-analysis
Reference Country Ethnicity Number Result
Case Control SMD Magnitude* p-value
Magali Chamorro-Melo, 2022 [3] Colombia Hispanic 51 51 0.853 Large <0.001
Cheleschi, 2022 [4] UK Caucasian 50 50 0.643 Large 0.002
Zhang. 2021 [5] Sweden Caucasian 82 88 0.055 Small 0.718
Turgunova, 2021a [6] Kazaklstan Asian 48 63 0.126 Small 0.512
Turgunova, 2021b [6] Kazaklstan Asian 82 63 −0.131 Small 0.435
Chen, 2020 [7] China Asian 150 48 0.336 Medium 0.044
Tao, 2020 [8] China Asian 103 95 −0.197 Small 0.168
Chihara, 2020 [9] Japan Asian 136 78 0.331 Medium 0.021
Hoffman, 2019 [10] Israel Caucasian 40 40 0.134 Small 0.550
Dervišević, 2018 [11] Bosnia Caucasian 55 25 0.374 Medium 0.123
Angel-Chávez, 2018 [12] Mexico Hispanic 70 74 0.251 Medium 0.134
Rodríguez-Carrio, 2017a [13] Spain Caucasian 84 83 0.333 Medium 0.033
Rodríguez-Carrio, 2017b [13] Spain Caucasian 29 83 0.889 Large <0.001
Najafizadeh, 2016 [14] Iran Arab 75 40 0.794 Large <0.001
Gülkesen, 2016 [15] Turkey Caucasian 33 24 0.272 Medium 0.312
Gómez-Bañuelos, 2015 [16] Mexico Hispanic 64 66 0.905 Large <0.001
Oner, 2015 [17] Turkey Caucasian 106 52 0.136 Small 0.421
Abdalla, 2014 [18] Egypt Arab 60 30 0.454 Medium 0.045
Toussirot, 2013 [19] France Caucasian 30 31 0.426 Medium 0.100
Olama, 2012 [20] Egypt Arab 40 30 1.228 Large <0.001
Allam, 2012 [21] Egypt Arab 37 34 0.973 Large <0.001
Kopec-Medrek, 2012 [22] Poland Caucasian 16 16 0.020 Small 0.955
Yoshino, 2011 [23] Japan Asian 141 146 1.146 Large <0.001
Ismail, 2011 [24] Egypt Arab 40 30 3.355 Large <0.001
El-Batch, 2010 [25] Turkey Caucasian 30 15 2.263 Large <0.001
Seven, 2009 [26] Turkey Caucasian 20 15 0.836 Large 0.019
Rho, 2009 [27] USA Caucasian 167 91 1.791 Large <0.001
Canoruç, 2009 [28] Turkey Caucasian 52 52 1.163 Large <0.001
Hizmetli, 2007 [29] Turkey Caucasian 41 25 −0.165 Small 0.517
Gunaydin, 2006 [30] Turkey Caucasian 50 34 0.967 Large <0.001
Otero, 2006 [31] Spain Caucasian 31 18 0.618 Large 0.041
Popa, 2005a [32] Netherlands Caucasian 11 9 0.461 Medium 0.311
Popa, 2005b [32] Netherlands Caucasian 20 9 0.236 Medium 0.558
Toussirot, 2005 [33] France Caucasian 38 32 0.512 Large 0.036
Härle, 2004a [34] Greece Caucasian 8 28 −0.854 Large 0.039
Härle, 2004b [34] Greece Caucasian 22 26 −0.937 Large 0.002
Bokarewa, 2003 [35] Sweden Caucasian 49 34 0.720 Large 0.002
Nishiya, 2002a [36] Japan Asian 14 10 −0.224 Medium 0.589
Nishiya, 2002b [36] Japan Asian 35 10 0.238 Medium 0.509
Tokarczyk-Knapik, 2002 [37] Poland Caucasian 52 24 −0.869 Large 0.001
Salazar-Páramo, 2001 [38] Mexico Hispanic 30 27 0.634 Large 0.020
Anders, 1999 [39] Greece Caucasian 58 16 0.273 Medium 0.335

UK: United Kingdom, SMD: standardized mean difference. *Magnitude of Cohen’s d effect size: small effect, 0.2~0.5; medium effect, 0.5~0.8; large effect, ≥0.8.

Table 2
Meta-analysis of the relationship between circulating leptin levels and rheumatoid arthritis
Groups Population No. of Studies Test of association Test of heterogeneity
SMD* 95% CI p-value Model p-value I2
All Overall 42 0.507 0.309~0.704 <0.001 R <0.001 88.4
Ethnicity Caucasian 25 0.418 0.145~0.692 0.003 R <0.001 87.9
Asian 8 0.226 −0.156 to 0.608 0.246 R <0.001 89.2
Arab 5 1.317 0.554~2.081 0.001 R <0.001 91.5
Hispanic 4 0.652 0.317~0.988 0.001 R 0.036 64.8
Sample size (n) <100 24 0.474 0.152~0.796 0.004 R <0.001 86.7
>100 18 0.545 0.286~0.084 <0.001 R <0.001 90.5

SMD: standard mean difference, CI: confidence interval, F: fixed effects model, R: random effects model. *Magnitude of Cohen’s d effect size (SMD): small effect, 0.2~0.5; medium effect, 0.5~0.8; large effect, ≥0.8.

Table 3
Meta-analysis of the correlation between leptin levels and RA activity (DAS28, CRP)
Comparison No. of studies Test of association Test of heterogeneity
Correlation coefficient 95% CI p-value Model p-value I2
DAS28-ESR 12 0.247 0.087~0.396 0.003 R <0.001 75.8
CRP 11 0.203 0.048~0.349 0.010 R 0.010 64.9

RA: rheumatoid arthritis, CI: confidence interval, R: random effects model, DAS28-ESR: Disease Activity Score 28-erythrocyte sedimentation rate, CRP: C-reactive protein.

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