Association between serum visfatin levels and psoriasis and their correlation with disease severity: a meta-analysis

Abstract

Objective

To determine the association between serum visfatin levels and psoriasis and to evaluate the correlation between serum visfatin levels and the severity of psoriasis.

Methods

The electronic databases PubMed®, Embase® and the Cochrane Library were searched for articles published from inception to 1 May 2020. Data were extracted and then standard mean differences (SMDs) and 95% confidence intervals (CIs) were calculated for pooled estimates.

Results

A total of 11 studies met the inclusion criteria and were included (448 patients diagnosed with psoriasis and 377 controls). This meta-analysis demonstrated that patients with psoriasis had significantly higher levels of visfatin than the controls (SMD = 0.90, 95% CI 0.52, 1.28). Subgroup analyses showed that differences in serum visfatin levels between the patient group and the control group were associated with ethnicity, Psoriasis Area and Severity Index (PASI) and body mass index. Additionally, a meta-analysis of correlations showed that visfatin levels in patients with psoriasis were positively correlated with PASI (r = 0.51, 95% CI 0.14, 0.75).

Conclusions

This meta-analysis showed that serum visfatin levels in patients with psoriasis were significantly higher than those in the controls and a positive correlation between serum visfatin levels and psoriasis severity was observed.

Keywords

Serum visfatin psoriasis disease severity meta-analysis

Introduction

Psoriasis is a common chronic relapsing inflammatory skin disease.¹ The economic burden of psoriasis is significant worldwide. For example, in 2013, the annual cost of psoriasis in the United States was approximately $112 billion.² The published prevalence of psoriasis in various regions ranges from 0.09% to 11.43%.^3,4 Psoriatic skin symptoms, complex triggering factors and serious complications are important global healthcare problems.¹ Although great advancements in the treatment of psoriasis have recently been made,⁵ there is still no cure that can completely address it, partially due to its exact mechanism remaining unknown.¹ Currently, it is generally believed that the occurrence and development of psoriasis are related to the interactions of multiple systems because an increased frequency of some non-skin disorders, including Crohn’s disease, cardiovascular diseases, metabolic syndrome and even psychological diseases, has been epidemiologically observed in psoriasis patients.⁶ The study of the relationship between psoriasis and metabolic syndrome (MetS) has attracted increasing attention from researchers in recent years. MetS is a group of metabolic disorders, including obesity, atherogenic dyslipidaemia, dysglycaemia, hypertension, type 2 diabetes and insulin resistance.⁷ Studies conducted in different countries have noted that the prevalence of MetS in psoriasis patients is significantly higher than that in controls.^8–10 Understanding the potential relationship between MetS and psoriasis may be critical for the diagnosis and treatment of this disease. Obesity has been reported as an independent risk factor for the occurrence and severity of psoriasis in recent studies.¹¹ The exact link between obesity and psoriasis is unclear, but studies have shown that adipose tissue can produce some cytokines, such as visfatin, which may make a significant contribution to the development of psoriasis.¹²

Visfatin, a protein initially described as pre-B cell colony-enhancing factor (PBEF), was identified as a new adipocytokine in 2005.¹³ However, that article was retracted because of controversy about the conclusion that visfatin mimics the effects of insulin.¹⁴ In recent years, the effects of visfatin in many chronic inflammatory diseases, metabolic conditions and cancers have been widely studied.^15–17 However, the effects of visfatin on the psoriatic process remain controversial. On the one hand, evidence has shown that serum visfatin levels in psoriasis patients are higher than those in controls.^18,19 Moreover, a study indicated that visfatin could induce the production of Vascular endothelial growth factor and matrix metalloproteinase-2/9 through the mitogen-activated protein kinase and phosphatidylinositol 3-kinase-/protein kinase B signalling pathways, leading to angiogenesis.²⁰ A previous study found that visfatin could modulate the production of proinflammatory mediators via the nuclear factor kappa-B pathway.²¹ Additionally, visfatin plays a regulatory role in cell proliferation and apoptosis.²² All of these factors may make important contributions to the process of psoriasis. In addition, a positive correlation between the expression of serum visfatin and psoriasis severity was found in some studies.^18,19 On the other hand, studies have shown that the serum visfatin levels in psoriasis patients are not significantly different from those in controls.^23,24 Therefore, a meta-analysis was conducted to obtain an overview of the association between psoriasis and visfatin.

Materials and methods

Literature search

The electronic databases PubMed®, Embase® and the Cochrane Library were searched for articles published from inception to 1 May 2020. In addition, related articles were manually searched to identify other potentially eligible studies. The search terms (all fields) were as follows: “visfatin” AND “psoriasis”. This meta-analysis was conducted in accordance with the PRISMA Guidelines (registration no. CRD42020206344).

Inclusion and exclusion criteria

Studies meeting the following criteria were included: (i) case–control or cross-sectional studies; (ii) studies reporting a comparison of serum visfatin levels between patients with psoriasis and controls; (iii) studies in which all patients were clinically or pathologically diagnosed with psoriasis. The major exclusion criteria were as follows: (i) duplicate or overlapping publications; (ii) review articles, conference abstracts, letters, case reports or animal studies; (iii) studies with incomplete data; (iv) articles not published in English.

Data extraction

All included studies were imported into Endnote, which facilitated the identification and removal of duplicate data. All relevant records after screening were assessed by two independent reviewers (J.W.S. and Y.T.G.). Any disagreements were resolved by a third investigator (H.J.S.) and an agreement was reached after discussion.

Quality assessment

The quality of the selected studies was analysed in compliance with the requirements of the Newcastle–Ottawa scale (NOS),²⁵ including three parts: selection of study participants (4 scores), comparability of groups (2 scores) and measurement of exposures and outcome (3 scores). A study with a score of 7 points or above was considered to be a high-quality study.

Statistical analyses

Standardized mean differences (SMDs) and their 95% confidence intervals (CIs) were calculated for the current study. The heterogeneity among studies was assessed using Cochran's Q test. A random-effects model was utilized when heterogeneity was greater than 50%; otherwise, a fixed-effects model was used. Subgroup analysis and meta-regression analysis were performed to assess the source of heterogeneity. Moreover, sensitivity analysis was conducted by excluding one study at a time to determine its impact on the obtained outcomes; and funnel plots and Egger’s regression test were used to examine publication bias in the literature. A P-value < 0.05 was considered to be statistically significant. Statistical meta-analyses were performed with STATA® version 12.0 software (STATA Corp., College Station, TX, USA).

Results

As shown in Figure 1, a total of 11 case–control studies were eligible to be included in the meta-analysis, with 448 patients with psoriasis and 377 controls.^{18,19,23,24,26–32} These studies were published from 2012 to 2020 and were undertaken in Asia, Africa and Europe. In the study quality assessment, 10 studies had a NOS score ≥7. The basic features of the included studies are shown in Table 1.^{18,19,23,24,26–32}

Figure 1.

Flow chart of eligible studies showing the number of citations identified, retrieved and included in the final meta-analysis.

Table 1.

Characteristics of eligible studies included in this meta-analysis to evaluate the relationship between psoriasis and serum visfatin levels.^{18,19,23,24,26–32}

Author	Ethnicity	Sample size		Serum level of visfatin(mean ± SD, ng/ml)		Correlation coefficient with PASI (r)	Matchedvariables	Sample type	Measurementmethod	NOS
Author	Ethnicity	Case	Control	Case	Control	Correlation coefficient with PASI (r)	Matchedvariables	Sample type	Measurementmethod	NOS
Badran et al. 2014¹⁸	African	40	40	26.60 ± 10.21	15.60 ± 3.38	0.951	Age, sex, BMI	Serum	EIA	7
Chyl-Surdacka et al., 2020¹⁹	European	102	40	5.19 ± 3.31	0.93 ± 0.62	0.059	Age	Serum	ELISA	6
Capo et al., 2020²³	European	19	17	4.94 ± 1.28	4.62 ± 0.89	0.062	Age, sex, BMI	Serum	ELISA	7
Zu-Elfakkar et al., 2017²⁶	African	20	20	28.90 ± 19.47	16.77 ± 6.57	0.619	Age, sex	Serum	NA	6
Coban et al., 2016²⁷	Asian	35	50	8.37 ± 1.41	12.89 ± 27.26	0.168	Age, sex, BMI	Serum	ELISA	7
Elgarhy et al., 2016²⁸	African	25	15	78.60 ± 48.10	9.70 ± 4.90	0.869	Age, sex, BMI	Serum	ELISA	7
Okan et al., 2016²⁹	Asian	45	45	20.78 ±11.36	12.83 ± 7.87	0.396	Age, sex, BMI	Serum	ELISA	7
Sereflican et al., 2016²⁴	Asian	42	42	6.94 ± 2.29	6.01 ± 2.35	–0.021	Age, sex, BMI	Serum	EIA	7
Campanati et al., 2015³⁰	European	47	39	128.70 ± 53.36	72.53 ± 17.02	NA	Age, sex, BMI	Serum	EIA	7
Lora et al., 2013³¹	European	27	27	3.80 ± 2.10	3.10 ± 1.30	NA	Age, sex, BMI	Serum	ELISA	7
Ismail et al., 2012³²	African	46	42	62.20 ± 39.40	21.30 ± 15.30	0.440	Age, sex, BMI	Serum	ELISA	7

PASI, Psoriasis Area and Severity Index; NOS, Newcastle–Ottawa scale; BMI, body mass index; EIA, enzyme immunoassay; ELISA, enzyme-linked immunosorbent assay; NA, not available.

The pooled results demonstrated that visfatin levels were significantly higher in the psoriasis group than in the control group (SMD = 0.90, 95% CI 0.52, 1.28, P < 0.001) (Figure 2).^{18,19,23,24,26–32} Cochran's Q test showed significant heterogeneity among these included studies (I² = 84.2%, P < 0.001). Subgroup analyses were performed due to the existence of heterogeneity. The subgroup analysis based on ethnicity revealed that serum visfatin levels were significantly higher in psoriasis patients in Africa and Europe (Africa: SMD = 1.34, 95% CI 1.02, 1.67, P < 0.001; Europe: SMD = 0.92, 95% CI 0.31, 1.53, P = 0.003) but not in Asian patients. A subgroup analysis by Psoriasis Area and Severity Index (PASI) showed significantly higher visfatin levels in psoriasis patients with higher PASI scores (PASI ≥ 10) (SMD = 1.17, 95% CI 0.80, 1.53, P < 0.001). Stratification by body mass index (BMI) revealed significantly higher visfatin levels in psoriasis patients with greater BMI values (BMI ≥25 kg/m²) (SMD = 0.83, 95% CI 0.33, 1.33, P = 0.001). Subgroup analyses to identify possible sources of heterogeneity evaluated sample size, matching of age, sex and BMI, measurement method and ELISA kits but found no statistically significant association in these subgroups (Table 2). Meta-regression analysis was used to further identify sources of heterogeneity. Covariates included publication year, sample size, BMI and PASI. The results showed that PASI could explain 82.78% of the heterogeneity (Table 3). However, none of the remaining covariates changed the correlation between visfatin levels and psoriasis. Meta-analysis of correlation coefficients showed a significant positive correlation between serum visfatin levels and PASI (r = 0.51, 95% CI 0.14, 0.75, P = 0.009) (Table 4).

Figure 2.

Forest plot of a meta-analysis to evaluate the relationship between psoriasis and serum visfatin levels.^{18,19,23,24,26–32}

Table 2.

Subgroup analyses of the relationship between visfatin levels and psoriasis.

Stratification group	n	SMD (95% CI)	z	P-value	Heterogeneity test
Stratification group	n	SMD (95% CI)	z	P-value	Q	I² (%)	P-value
Ethnicity
African	4	1.34 (1.02, 1.67)	8.12	P < 0.001	3.92	23.4	NS
Asian	3	0.33 (–0.25, 0.92)	1.11	NS	11.05	81.9	P = 0.004
European	4	0.92 (0.31, 1.53)	2.97	P = 0.003	17.28	82.6	P = 0.001
Combined	11	0.90 (0.52, 1.28)	4.65	P < 0.001	63.30	84.2	P < 0.001
Sample size
<30	4	0.80 (0.18, 1.41)	2.55	P = 0.011	10.90	72.5	P = 0.012
≥30	7	0.95 (0.46, 1.44)	3.78	P < 0.001	51.18	88.3	P < 0.001
Combined	11	0.90 (0.52, 1.28)	4.65	P < 0.001	63.30	84.2	P < 0.001
PASI
<10	3	0.14 (–0.27, 0.55)	0.67	NS	4.17	52.1	NS
≥10	6	1.17 (0.80, 1.53)	6.24	P < 0.001	15.45	67.6	P = 0.009
Combined	9	0.83 (0.40, 1.26)	3.81	P < 0.001	52.89	84.9	P < 0.001
BMI
<25	2	0.85 (–0.20, 1.91)	1.58	NS	6.82	85.3	P = 0.009
≥25	7	0.83 (0.33, 1.33)	3.22	P = 0.001	44.59	86.5	P < 0.001
Combined	9	0.84 (0.41, 1.26)	3.81	P < 0.001	52.89	84.9	P < 0.001
Matching
Age, sex BMI all Matched	9	0.84 (0.41, 1.26)	3.81	P < 0.001	52.89	84.9	P < 0.001
Not all Matched	2	1.22 (0.57, 1.87)	3.68	P < 0.001	2.95	66.2	NS
Combined	11	0.90 (0.52, 1.28)	4.65	P < 0.001	63.30	84.2	P < 0.001
Measurement method
ELISA	7	0.84 (0.30, 1.38)	3.02	P = 0.002	49.06	87.8	P < 0.001
EIA	3	1.06 (0.38, 1.74)	3.06	P = 0.002	12.82	84.4	P = 0.002
Combined	10	0.91 (0.50, 1.32)	4.33	P < 0.001	63.28	85.8	P < 0.001
ELISA kits
AdipoGen	1	1.51 (1.10, 1.91)	7.27	P < 0.001	0.00	NA	NA
Phoenix	3	0.70 (0.00, 1.40)	1.97	P = 0.049	9.75	79.5	P = 0.008
RayBiotech	1	1.80 (1.04, 2.55)	4.65	P < 0.001	0.00	NA	NA
Shanghai Yehua	1	0.81 (0.38, 1.24)	3.71	P < 0.001	0.00	NA	NA
Combined	6	1.02 (0.58, 1.47)	4.51	P < 0.001	22.02	77.3	P = 0.001

SMD, standardized mean difference; CI, confidence interval; PASI, Psoriasis Area and Severity Index; BMI, body mass index; ELISA, enzyme-linked immunosorbent assay; EIA, enzyme immunoassay; NA, not available; NS, no significant association (P ≥ 0.05).

Table 3.

Univariate meta-regression analysis of heterogeneity caused by patient variables across studies.

Variables	Coefficient	Standard error	95% CI	t	P-value
Publication year	0.44	0.08	–0.14, 0.23	0.53	P = 0.606
Sample size	0.11	0.01	–0.01, 0.03	1.33	P = 0.216
BMI	0.09	0.11	–0.17, 0.35	0.82	P = 0.441
PASI	0.08	0.02	0.04, 0.13	4.44	P = 0.003

CI, confidence interval; BMI, body mass index; PASI, Psoriasis Area and Severity Index.

Table 4.

Meta-analysis of the correlation coefficients between visfatin levels and psoriasis severity.

Variable	Comparison	No. of studies	CC	95% CI	P-value	Heterogeneity
Variable	Comparison	No. of studies	CC	95% CI	P-value	Model	P	I² (%)
Visfatin	PASI	9	0.51	0.14, 0.75	P = 0.009	Random	P < 0.001	93.3

CC, correlation coefficient; CI, confidence interval; PASI, Psoriasis Area and Severity Index.

Sequential removal of each study did not influence the obtained outcomes, indicating the stability and reliability of the meta-analysis (Figure 3). A funnel plot of all eligible studies showed approximate symmetry (Figure 4) and Egger's test showed that there was no obvious publication bias (P = 0.813) in this meta-analysis.

Figure 3.

Sensitivity analysis of studies included in a meta-analysis to evaluate the relationship between psoriasis and serum visfatin levels.^{18,19,23,24,26–32}

Figure 4.

Funnel plot of studies included in a meta-analysis to evaluate the relationship between psoriasis and serum visfatin levels. SMD, standard mean difference.^{18,19,23,24,26–32}

Discussion

It has been reported that obesity and related metabolic conditions are associated with chronic inflammation, characterized by increased expression of proinflammatory factors.³³ Patients with psoriasis often have concomitant MetS and this association may be mediated by adipokines.¹⁸ Visfatin is considered to be a proinflammatory cytokine widely and differently expressed in various tissues, but adipose tissue is the most important source.³⁴ A previous study demonstrated that visfatin may induce the infiltration of type 1 or type 17 helper T cells or neutrophils into the skin through chemokine induction in human keratinocytes, thus linking MetS to psoriasis.³⁵

Visfatin, also known as nicotinamide phosphoribosyltransferase, is a unique adipokine with proinflammatory effects because of its enzymatic activity.³⁶ As a rate-limiting step in the rescue pathway of nicotinamide adenine dinucleotide (NAD) biosynthesis, visfatin can regulate the level of NAD in cells, affecting cellular energy and NAD-dependent enzymes.³⁶ Additionally, visfatin can promote the production of inflammatory cytokines.¹⁸ PBEF is upregulated in the context of several chronic inflammatory diseases,³⁷ and it is involved in delaying neutrophil apoptosis in the context of inflammation.³⁸ Moreover, research has found that brown adipose tissue (BAT) is a new target for the treatment of human obesity.³⁹ Uncoupling protein 1 (UCP-1) is the only uncoupling protein expressed in BAT.⁴⁰ UCP-1 participates in the thermal regulation and energy metabolism of BAT to maintain the balance of the body.⁴¹ High concentrations of visfatin cause a sharp drop in the level of UCP-1 protein, which promotes increased consumption of BAT.⁴² This may partially explain the role of visfatin in obesity. The possible effects of visfatin on psoriasis are presented in Figure 5.

Figure 5.

Possible biological effects of visfatin on psoriasis. MAPK, mitogen-activated protein kinase; PI3K, phosphatidylinositol 3-kinase; Akt, protein kinase B; VEGF, vascular endothelial growth factor; MMP ,matrix metalloproteinase; NF-κB, nuclear factor kappa-B; UCP-1, uncoupling protein 1.

Although there have been several studies on the relationship between serum visfatin levels and psoriasis, the conclusions have not been consistent.^18,19,23,24 Some research suggests that the serum visfatin levels were higher in psoriasis patients and was positively correlated with PASI,¹⁸ whereas other research suggests that the serum visfatin level in psoriasis patients was not significantly different from that in controls.²³ In this current meta-analysis, the results showed that the serum level of visfatin was significantly higher in psoriasis patients than in controls, indicating that visfatin might be related to psoriasis. Moreover, serum visfatin levels showed a positive correlation with PASI, suggesting that visfatin levels might reflect the severity of psoriasis. In addition, subgroup analysis also revealed that this association was stronger in patients with higher PASI scores. A previous meta-analysis that included four studies demonstrated no significant differences in the levels of serum visfatin expression between psoriasis patients and controls.⁴³ A possible explanation for the disparity between this previous meta-analysis and the current findings is that this current meta-analysis included more studies (11 studies), so it might provide more accurate results.

In the current subgroup analysis, it must be noted that African and European psoriasis patients, psoriasis patients with BMI ≥ 25 kg/m² and psoriasis patients with PASI ≥10 had higher serum visfatin levels than controls. Several studies found a positive but nonsignificant correlation between the serum level of visfatin and BMI, revealing a possible trend of higher serum lipid levels in psoriasis patients with greater BMI values (BMI ≥ 25 kg/m²).^18,23,26 Likewise, multiple studies (Table 1) have demonstrated that serum visfatin levels were significantly positively correlated with the severity of psoriasis. Other potential causes may be the fact that the number of studies on Asian populations, psoriasis patients with BMI < 25 kg/m² and patients with PASI < 10 were relatively small. Thus, it will be necessary to conduct a larger-scale study of patients by region, severity of psoriasis and BMI to further determine the correlations.

This current meta-analysis had several limitations. First, there were only 448 patients included in the study and the sample size was relatively small. Secondly, the included studies were limited to those published in English, while studies in other languages were eliminated. Thirdly, underlying biases cannot be completely ruled out, although no obvious publication biases were found in this study. More importantly, great heterogeneity between the included studies was observed, and meta-regression analysis suggested that differences in the PASI of patients with psoriasis may be one of the sources of heterogeneity. The sources of heterogeneity in statistics are very complex. For patients with psoriasis, the patient's disease course, medication history, age of onset, may all contribute to the heterogeneity of the results. Therefore, more research in the future is required to determine the sources of heterogeneity.

In conclusion, this current meta-analysis demonstrated that serum visfatin levels were significantly upregulated in psoriasis patients compared with those in the controls. This finding suggests that visfatin may contribute to the pathogenesis and progression of psoriasis, which may be helpful for the diagnosis and treatment of this disease. Moreover, a positive correlation was found between serum visfatin levels and psoriasis severity, suggesting that visfatin may be a potential biomarker for psoriasis. It will be necessary to conduct further research to verify the results and clarify the mechanism through which this may occur.

Footnotes

Declaration of conflicting interest

The authors declare that there are no conflicts of interest.

Funding

This study was supported by the Key Research and Development Project of Ningxia (key project; no. 2019BFG02008) and the Construction of Talent Platform Project of Ningxia (Innovation Team for Skin disease diagnosis and treatment technology & drug discovery and development; no. NXKJT2019012).

ORCID iDs

Qian Zou

Jiawei Si

Yatao Guo

Jiayu Yu

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