Literature DB >> 25622660

Nutrition and psoriasis: is there any association between the severity of the disease and adherence to the Mediterranean diet?

Luigi Barrea1, Nicola Balato2, Carolina Di Somma3, Paolo Emidio Macchia4, Maddalena Napolitano5, Maria Cristina Savanelli6, Katherine Esposito7, Annamaria Colao8, Silvia Savastano9.   

Abstract

BACKGROUND: Many studies have evaluated the role of individual nutrients on the development of psoriasis. However, only few studies have investigated the effect of a healthy eating pattern, such as the Mediterranean diet. In this study, we aimed to investigate the relationship between adherence to the Mediterranean diet, the body composition and the severity of psoriasis in a group of naïve-treatment patients with psoriasis.
METHODS: This is a cross-sectional case-control observational study. Sixty-two patients (49 males and 13 females, mean age: 50.2±10.5yrs) affected with mild-to-severe psoriasis were consecutively enrolled. Sixty-two age-, sex- and body mass index (BMI)-matched healthy subjects served as control group. A validated 14-item questionnaire (PREDIMED: PREvención con DIeta MEDiterránea) was used for the assessment of adherence to the Mediterranean diet. The severity of psoriasis was by assessed by standardized Psoriasis Area and Severity Index (PASI) score and C-reactive protein (CRP) levels. Body composition was analyzed with bioelectrical impedance analysis.
RESULTS: A higher percentage of psoriatic patients had a lower PREDIMED score compared to the control group (30.6% vs 4.8%). PASI score was significantly associated with the percentage of fat mass (FM%) and CRP levels. PASI score and CRP levels were significantly associated with the dietary components included in the PREDIMED questionnaire or with the PREDIMED score. At multiple regression analysis, the major predictor of PASI score were FM among BIA parameters, (r(2)=0.537, β=0.740, p<0.001), and FM (r(2)=0.537, β=0.603, p<0.001) and PREDIMED score (r(2)=0.599, β=-0.296, p=0.007) among anthropometric measures, FM and PREDIMED score. Finally, among all items of the PREDIMED questionnaire, EVOO (r(2)=0.548, β=-0.741, p<0.001), and fish consumption (r(2)=0.139, β=-0.372, p=0.005) have an independent predictive value for PASI score and CRP levels.
CONCLUSIONS: This is the first study to evaluate the association between adherence to the Mediterranean diet and the severity of psoriasis. Moreover, our study highlights the usefulness of the assessment of body composition by bioelectrical impedance analysis in the evaluation of the psoriatic patients.

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Year:  2015        PMID: 25622660      PMCID: PMC4316654          DOI: 10.1186/s12967-014-0372-1

Source DB:  PubMed          Journal:  J Transl Med        ISSN: 1479-5876            Impact factor:   5.531


Background

Psoriasis is a chronic, immune-mediated inflammatory skin disease, associated with metabolic and cardiovascular disease [1,2]. Psoriasis is estimated to affect about 2–4% of the population in Western countries [3]. A number of risk factors have been recognized in the etiology and pathogenesis of psoriasis, including family history and environmental risk factors, such as diet, obesity, smoking, stress, and alcohol consumption [4]. Moreover, dietary factors can also affect both drug pharmacokinetics and pharmacodynamics. A number of single food components have been suggested to play a role in psoriasis. The ability of dietary of antioxidants, such as omega-3 polyunsaturated fatty acids from fish oil, some vitamins (A, E and C), and oligoelements (iron, copper, manganese, zinc and selenium), which decrease oxidative stress and the production of reactive oxygen species, might be of particular relevance mainly in a chronic systemic inflammatory diseases, like psoriasis [5]. In addition, due to its role in proliferation and maturation of keratinocytes, vitamin D has become an important therapeutic option in the treatment of psoriasis [6]. However, while many studies have evaluated the role of individual nutrients on the development of psoriatic disease [7], only few studies have investigated the effect of a healthful eating pattern. The psoriatic patients, in fact, often seek dietary advice, as they frequently link many of their health problems, including diseases of the skin, to their diet. The Mediterranean diet is a healthy eating pattern, associated with reduced risk for metabolic [8], cardiovascular [9], and neoplastic diseases [10], that has consistently been shown to provide a degree of protection against chronic degenerative diseases [11]. One of the most accredited hypothesis of this association is that the high content of different beneficial compounds, such as antioxidants and polyphenols, largely present in Mediterranean foods, such as plant foods, fruits and red wine, have anti-inflammatory properties [12]. In particular, the monounsaturated fatty acids intake, whose major source is represented by extra virgin olive oil (EVOO), was found to be associated with a reduced prevalence of risk factors for major chronic inflammatory diseases [13]. Obesity is an important risk factor for psoriasis [14]. The relationship between the two conditions is probably bidirectional, with obesity predisposing to psoriasis and psoriasis favoring obesity [15]. Several studies have been conducted to explore the association between obesity and psoriasis [16,17]. In particular, there was a 2-fold increased risk for psoriasis development in the setting of obesity as compared with normal weight subjects [18]. In addition, for each unit increment increase in body mass index (BMI) was reported a 9% higher risk for psoriasis onset and a 7% higher risk for increased of Psoriasis Area and Severity Index (PASI) score [19], currently the preferred method for the assessment of the disease severity and extent. A further evidence of a link between, obesity, inflammation and cardiovascular diseases in patients with psoriasis is provided by several studies reporting a correlation between PASI score and increased of C-reactive protein (CRP) levels [20], an acute phase protein significantly associated with obesity, representing the most sensitive markers of inflammation and an independent risk for cardiovascular disease. BMI is a commonly used surrogate for adiposity that is inexpensive and easily measured, although it evaluates excess weight rather than excess fat [21], does not measure body fat directly and poorly distinguishes between fat mass and lean or bone mass [22]. The National Heart, Lung and Blood Institute (NHLBI) Clinical Guidelines recognize this limitation of BMI [23]; thus, waist circumference (WC) is recommended as an additional surrogate measure of fat distribution, due to its high correlation with visceral fat [24], the main source of inflammatory cytokines in obesity [25]. Again, a number of studies have evidenced a strict association between WC and psoriasis [26], being the production of inflammatory cytokines in visceral obesity the link involved in the complex mechanisms leading to the exacerbation of psoriasis [27]. Nevertheless, only few studies have assessed body composition in psoriatic patients [28,29]. Bioelectrical impedance analysis (BIA) is a simple, safe, inexpensive and non-invasive method to estimate body composition. This method is particularly useful in determining body compartments in studies of large population samples [30]. The wake of this evidence, we aimed to investigate the relationship between adherence to the Mediterranean diet using a 14-item PREDIMED (PREvención con DIeta MEDiterránea) questionnaire [31], the body composition by BIA, and the severity of psoriasis evaluated by PASI score and CRP levels in a group of naïve-treatment patients with psoriasis.

Methods

This is a cross-sectional case control observational study carried out at the Department of Clinical Medicine and Surgery of the University of Naples Federico II (Italy), in accordance with the guidelines of the Helsinki Declaration on human experimentation. All participants gave their informed consent before enrolment. Sixty-two patients affected by mild-to-severe psoriasis were consecutively enrolled from a pool of patients referred to the outpatient clinic of our University Hospital from January to August 2014. Patients aged more than 18 years and with a diagnosis of mild-to-severe psoriasis lasting for at least 6 months were enrolled, while patients with pustular, erythrodermic or arthropathic psoriasis or receiving any systemic treatment for psoriasis including acitretin, ciclosporin, methotrexate, phototherapy or biologics for at least 3 months were excluded. Exclusion criteria included smoking and alcohol abuse too. Furthermore they had not received any drug therapy known to affect carbohydrate or lipid metabolism for the 6 months before. All patients were checked and recorded. Data collected included age, gender, weight, height, BMI and WC. Severity of psoriasis and the age at onset of it (early psoriasis: age < 39 years and late psoriasis aged >40 years) were also noted. PASI score was used as measure of disease severity. PASI score was used to be recorded by measuring four body surface areas (head, chest, upper and lower limbs) with patient in a standing position according to the method described by Harari M et al. 2000 [32]. Sixty-two healthy subjects among clerks, and medical and paramedical personnel of the Department of Clinical & Surgical Medicine, Unit of Endocrinology of the University Federico II of Naples, matched for sex, age, and BMI with the patients agreed to participate in this study and were used as controls. Exclusion criteria for controls were the same as the patients. Blood samples were obtained between 08.00 h and 09.00 h from an antecubital vein after an overnight fast, with the patient in the resting position. CRP levels was determined with a nephelometric assay with CardioPhase high-sensitivity from Siemens Healthcare Diagnostics (Marburg, Germany); the intra-assay coefficient of variations was >4%. All anthropometric measurements were taken with subjects wearing only light clothes and without shoes. In each subject, weight and height were measured to calculate the BMI [weight (kg) divided by height squared (m2), kg/m2]. Height was measured to the nearest 1 cm using a wall-mounted stadiometer. Body weight was determined to the nearest 50 g using a calibrated balance beam scale. The degree of obesity was established according to a scale based on BMI cut-off points: 30–34.9 (grade I obesity), 36–39.9 (grade II obesity) and ≥ 40 kg/m2 (grade III obesity or severe obesity), respectively. WC was measured to the closest 0.1 cm with a non-extensible tape at the natural indentation or at a midway level between the iliac crest and the lower edge of the rib cage if no natural indentation was visible. The measurement was made with the subject standing upright, feet together and arms hanging freely at the sides. In addition, for each patient we performed body composition with bioelectrical impedance analysis (single-frequency 50 kHz BIA 101 RJL, Akern Bioresearch, Firenze) and biavector analysis, with resistance (R) and reactance (Xc) data plotted on an R/H Xc/H graph using a specific software [33]. All participants were supine with limbs slightly spread apart from the body, refrained from eating, drinking, and exercising for six hours before testing. Subjects were tested in the supine position with arms and legs abducted from the body. Shoes and socks were removed and contact areas were scrubbed with alcohol immediately before electrode placement. Electrodes (BIATRODES Akern Srl; Florence, Italy) were placed proximal to the phalangeal–metacarpal joint on the dorsal surface of the right hand and distal to the transverse arch on the superior surface of the right foot. Sensor electrodes were placed at the midpoint between the distal prominence of the radius and ulna of the right wrist, and between the medial and lateral malleoli of the right ankle. A validated 14-item questionnaire for the assessment of adherence to the Mediterranean Diet (PREDIMED) [31] was recorded for all the enrolled subjects during a face-to-face interview between the patient and a certified nutritionist. Briefly, for each items was assigned score 1 and 0; PREDIMED score was calculated as follows: 0–5, lowest adherence; score 6–9, average adherence; score ≥10, highest adherence [31]. Results are expressed as mean ± SD. Differences between the two groups were analyzed by paired t test. Frequencies were analyzed by χ2 test. Correlations between variables were performed using Pearson r correlation coefficient. Using PASI score and CRP levels as dependent variables, three multiple linear regression analysis models (stepwise method) were set up to estimate the predictive value of: a) body composition evaluated by BIA, b) BMI, WC, FM and PREDIMED score; c) each item included in PREDIMED questionnaire (expressed as r2, Beta (β) and t). In these analysis, we entered only those variables that had a p-value <0.05 in the univariate analysis. To avoid multicollinearity, variables with a variance inflation factor (VIP) >10 were excluded. Values ≤5% were considered statistically significant. Data were stored and analysed using the MedCalc® package (Version 12.3.0 1993–2012 MedCalc Software bvba - MedCalc Software, Mariakerke, Belgium).

Results

A total of 62 subjects (49 males and 13 females) for group completed the study. Among psoriatic patients PASI score was 7.9 ± 7.2 and CRP levels were 2.4 ± 5.4 ng/ml (control group: 0.7 ± 0.4 ng/ml; p = 0.040). In Table 1 are shown the differences in the anthropometric and BIA parameters of the psoriatic patients and the control group. No statistically significant differences in age was and BMI were observed between the two groups. Psoriatic patients exhibited statistically significant differences compared with control group for BIA parameters. In particular psoriatic patients have the lowest values of Na/K ratio, FFM (%), SMM (%), TBW (%), and higher values of FM (Kg) and FM (%). Moreover, in psoriatic patients WC were and FM were significantly higher and PREDIMED score was lower than in control group; Figure 1. In Table 2 are reported the responses of each item included in PREDIMED questionnaire in the two groups. Psoriatic patients exhibited statistically significant differences compared with controls for use of the following dietary components: EVOO, fruits, red processed meats, fish and nuts. The total PREDIMED score in the two groups is reported in Figure 2. A higher percentage of psoriatic patients had a lower/average adherence score compared to the control group (30.6% vs 4.8%, p < 0.001 and 51.7% vs 77.5%, p = 0.004, respectively) as assessed by the PREDIMED questionnaire, while there no significant differences with the high adherence score (17.7% vs 17.7%, p = 0.814).
Table 1

Anthropometric measures and body composition evaluated by BIA parameters of the psoriatic patients and control group

Psoriatic patients Control group
Mean ± SD Mean ± SD p value
Age (years)50.2 ± 10.549.8 ± 10.40.857
BW (kg)88.3 ± 15.183.0 ± 17.00.069
Height (m)1.7 ± 0.11.7 ± 0.10.747
BMI (kg/m2)31.6 ± 5.129.9 ± 6.50.101
R (Ω)556.3 ± 116.6526.4 ± 79.70.087
Xc (Ω)43.5 ± 6.742.5 ± 6.50.453
PA (°)4.6 ± 1.04.7 ± 1.40.807
R/H (Ω/m)313.7 ± 99.2315.6 ± 51.40.895
Xc/H (Ω/m)24.6 ± 7.125.8 ± 3.90.291
Na/K ratio1.1 ± 0.21.2 ± 0.2 0.032
BCMI7.4 ± 4.07.6 ± 3.00.702
FM (kg)32.0 ± 9.525.4 ± 9.7 0.001
FM (%)35.6 ± 6.830.3 ± 6.6 <0.001
FFM (kg)57.3 ± 10.356.4 ± 9.40.605
FFM (%)64.4 ± 6.869.5 ± 6.8 <0.001
BCM (kg)20.6 ± 11.220.9 ± 8.30.824
BCM (%)34.8 ± 12.136.7 ± 9.30.288
SMM (kg)26.7 ± 12.727.0 ± 9.50.854
SMM (%)29.7 ± 11.233.2 ± 8.7 0.042
TBW (Lt)41.9 ± 7.641.3 ± 6.90.602
TBW (%)47.2 ± 4.951.1 ± 4.8 <0.001
TBW/BW0.48 ± 0.060.51 ± 0.06 0.005
ECW (Lt)22.2 ± 3.221.7 ± 2.90.383
ECW (%)53.8 ± 7.153.2 ± 5.90.572
ICW (Lt)19.7 ± 6.419.6 ± 5.30.888
ICW (%)46.2 ± 7.146.9 ± 5.90.503

Psoriatic patients exhibited statistically significant differences compared with control group sex, age and BMI-matched for BIA parameters. In particular psoriatic patients have the lowest values of Na/K ratio, FFM (%), SMM (%),TBW (%) and higher values of FM (Kg) and FM (%). Differences between the two groups were analyzed by paired t test. BW, Body weight; BMI, Body Mass Index; R, Resistance (Ω = ohm); Xc, Reactance (Ω = ohm); PA, Phase Angle (° = degrees); R/H, Resistance standardized by Height (Ω/m = ohm/meters); Xc/H, Reactance standardized by Height (Ω/m = ohm/meters); Na/K, Sodium/Potassium; BCMI, Body Cell Mass Index; FM, Fat Mass; FFM, Fat-Free Mass; BCM, Body Cell Mass; SMM Skeletal Muscle Mass; TBW, Total Body Water; ECW, Extra-Cellular Water; ICW, Intra-Cellular Water.

Figure 1

Anthropometric and nutritional differences between psoriatic patients and control group. In psoriatic patients BMI (a), WC (b) and FM (c) were significantly higher and PREDIMED score (d) was lower than in control group. Results are expressed as mean ± SD. Differences between groups were analyzed by paired t test. BMI, body mass index; WC, waist circumference; FM, Fat Mass; PREDIMED, PREvención con DIeta MEDiterránea.

Table 2

Response frequency of dietary components included in the PREDIMED questionnaire of the psoriatic patients and control group

Questions Psoriatic Control
Patients Group
n % n % p values
1Use of extra virgin olive oil as main culinary lipid4369.45995.2 <0.001
2Extra virgin olive oil >4 tablespoons3962.93454.80.465
3Vegetables ≥2 servings/day3658.13962.90.713
4Fruits ≥3 servings/day4572.65588.7 0.041
5Red/processed meats <1/day2946.81117.7 0.001
6Butter, cream, margarine <1/day1829.02133.90.699
7Soda drinks <1/day2438.72845.20.585
8Wine glasses ≥7/week2337.13353.20.104
9Legumes ≥3/week3962.94471.00.445
10Fish/seafood ≥3/week3251.64674.2 0.016
11Commercial sweets and confectionery ≤2/week1829.02641.90.189
12Tree nuts ≥3/week2337.13556.5 0.048
13Poultry more than red meats3150.03150.00.858
14Use of sofrito sauce ≥2/week3861.34267.70.573

Psoriatic patients showed statistically significant differences compared with controls for use of the following dietary components: Extra virgin olive oil, fruits, red processed meats, fish and tree nuts. Frequencies were analyzed by χ 2 test. PREDIMED, PREvención con DIeta MEDiterránea.

Figure 2

PREDIMED score of all participants. A higher percentage of psoriatic patients had a lower PREDIMED score compared with the control group (30.6% vs 4.8%). Frequencies were analyzed by χ 2 test. Score 0–5, lowest adherence to the Mediterranean diet; Score 6–9, average adherence to the Mediterranean diet; Score ≥10, highest adherence to the Mediterranean Diet. PREDIMED, PREvención con DIeta MEDiterránea.

Anthropometric measures and body composition evaluated by BIA parameters of the psoriatic patients and control group Psoriatic patients exhibited statistically significant differences compared with control group sex, age and BMI-matched for BIA parameters. In particular psoriatic patients have the lowest values of Na/K ratio, FFM (%), SMM (%),TBW (%) and higher values of FM (Kg) and FM (%). Differences between the two groups were analyzed by paired t test. BW, Body weight; BMI, Body Mass Index; R, Resistance (Ω = ohm); Xc, Reactance (Ω = ohm); PA, Phase Angle (° = degrees); R/H, Resistance standardized by Height (Ω/m = ohm/meters); Xc/H, Reactance standardized by Height (Ω/m = ohm/meters); Na/K, Sodium/Potassium; BCMI, Body Cell Mass Index; FM, Fat Mass; FFM, Fat-Free Mass; BCM, Body Cell Mass; SMM Skeletal Muscle Mass; TBW, Total Body Water; ECW, Extra-Cellular Water; ICW, Intra-Cellular Water. Anthropometric and nutritional differences between psoriatic patients and control group. In psoriatic patients BMI (a), WC (b) and FM (c) were significantly higher and PREDIMED score (d) was lower than in control group. Results are expressed as mean ± SD. Differences between groups were analyzed by paired t test. BMI, body mass index; WC, waist circumference; FM, Fat Mass; PREDIMED, PREvención con DIeta MEDiterránea. Response frequency of dietary components included in the PREDIMED questionnaire of the psoriatic patients and control group Psoriatic patients showed statistically significant differences compared with controls for use of the following dietary components: Extra virgin olive oil, fruits, red processed meats, fish and tree nuts. Frequencies were analyzed by χ 2 test. PREDIMED, PREvención con DIeta MEDiterránea. PREDIMED score of all participants. A higher percentage of psoriatic patients had a lower PREDIMED score compared with the control group (30.6% vs 4.8%). Frequencies were analyzed by χ 2 test. Score 0–5, lowest adherence to the Mediterranean diet; Score 6–9, average adherence to the Mediterranean diet; Score ≥10, highest adherence to the Mediterranean Diet. PREDIMED, PREvención con DIeta MEDiterránea.

Correlation studies

The correlations among PASI score, CRP levels and BIA parameters were reported in Table 3. In particular, PASI score was negatively correlated with Xc, PA, BCMI, FFM%, BCM (Kg and%), SMM (Kg and%), TBW%, TBW/BW, and ICW%. Moreover, there was a significant positive association among PASI score and BMI, FM, WC and PREDIMED score (Figure 3). The correlations between PASI score and CRP levels with each item of the PREDIMED questionnaire are showed in Table 4. At multiple regression analysis, the major predictor of PASI score were FM among BIA parameters, (r2 = 0.537, β = 0.740, t = 7.457, p < 0.001), and FM (r2 = 0.537, β = 0.603, t = 5.790, p < 0.001) and PREDIMED score (r2 = 0.599, β = −0.296, t = −2.839, p = 0.007) among anthropometric measures. Finally, among all items of the PREDIMED questionnaire, EVOO (r2 = 0.548, β = −0.741, t = −7.636, p < 0.001), and fish consumption (r2 = 0.139, β = −0.372, t = −2.922, p = 0.005) have an independent predictive value for PASI score and CRP levels, respectively.
Table 3

Correlations among body composition evaluated by BIA, PASI score and CRP levels in psoriatic patients

PASI score CRP levels
r p values r p values
R (Ω)0.1310.3750.0930.529
Xc (Ω)−0.427 0.002 −0.345 0.016
PA (°)−0.425 0.003 −0.2640.070
R/H (Ω/m)0.1530.2880.1150.422
Xc/H (Ω/m)−0.1840.201−0.1270.373
Na/K ratio0.0110.9410.2320.112
BCMI−0.331 0.022 −0.1910.193
FM (Kg)0.740 <0.001 0.1500.307
FM (%)0.652 <0.001 0.2420.098
FFM (Kg)0.0520.725−0.1250.399
FFM (%)−0.652 <0.001 −0.2420.098
BCM (Kg)−0.342 0.017 −0.2010.170
BCM (%)−0.423 0.003 −0.2500.086
SMM (Kg)−0.322 0.026 −0.1960.181
SMM (%)−0.509 <0.001 −0.2510.085
TBW (Lt)0.0510.732−0.1250.397
TBW (%)−0.652 <0.001 −0.2420.098
ECW (Lt)0.467 0.001 0.1580.284
ECW (%)0.408 0.004 −0.0290.847
ICW (Lt)−0.2280.119−0.2130.146
ICW (%)−0.408 0.004 −0.303 0.037

Correlation among BIA parameters, PASI score and CRP levels were performed using Pearson r correlation coefficient. BIA, Bioelectrical impedance analysis; PASI, Psoriasis Area Severity Index; CRP, C-reactive protein; R, Resistance (Ω = ohm); Xc, Reactance (Ω = ohm); PA, Phase Angle (° = degrees); R/H, Resistance standardized by Height (Ω/m = ohm/meters); Xc/H, Reactance standardized by Height (Ω/m = ohm/meters); Na/K, Sodium/Potassium; BCMI, Body Cell Mass Index; FM, Fat Mass; FFM, Fat-Free Mass; BCM, Body Cell Mass; SMM Skeletal Muscle Mass; TBW, Total Body Water; ECW, Extra-Cellular Water; ICW,Intra-Cellular Water.

Figure 3

Correlation among PASI score and anthropometric parameters, body composition and PREDIMED score. There was a significant positive association among PASI score and BMI (a), FM (b), WC (c), and PREDIMED score (d). Correlations among variables were analyzed using Pearson r correlation coefficient. BMI, body mass index; WC, waist circumference; FM, Fat Mass; PREDIMED, PREvención con DIeta MEDiterránea.

Table 4

Correlations between PASI score and CRP levels with dietary components included in the PREDIMED questionnaire in the psoriatic patients

Questions PASI score CRP levels
r p values r p values
1Use of extra virgin olive oil as main culinary lipid−0.741 <0.001 −0.300 0.026
2Extra virgin olive oil >4 tablespoons0.2320.1060.1010.462
3Vegetables ≥2 servings/day−0.600 <0.001 −0.2120.120
4Fruits ≥3 servings/day−0.628 <0.001 −0.350 0.009
5Red/processed meats <1/day0.427 0.002 0.282 0.037
6Butter, cream, margarine <1/day0.1760.222−0.1060.441
7Soda drinks <1/day0.1620.2620.2100.123
8Wine glasses ≥7/week−0.2170.131−0.1450.290
9Legumes ≥3/week−0.421 0.002 −0.299 0.027
10Fish/seafood ≥3/week−0.618 <0.001 −0.372 0.005
11Commercial sweets and confectionery ≤2/week0.1780.215−0.0070.959
12Tree nuts ≥3/week−0.365 0.009 −0.354 0.008
13Poultry more than red meats0.1070.461−0.0200.884
14Use of sofrito sauce ≥2/week−0.368 0.009 −0.0620.654
PREDIMED score −0.576 <0.001 −0.348 0.009

Correlations among variables were performed using Pearson r correlation coefficient. PASI, Psoriasis Area Severity Index; CRP, C-reactive protein; PREDIMED, PREvención con DIeta MEDiterránea.

Correlations among body composition evaluated by BIA, PASI score and CRP levels in psoriatic patients Correlation among BIA parameters, PASI score and CRP levels were performed using Pearson r correlation coefficient. BIA, Bioelectrical impedance analysis; PASI, Psoriasis Area Severity Index; CRP, C-reactive protein; R, Resistance (Ω = ohm); Xc, Reactance (Ω = ohm); PA, Phase Angle (° = degrees); R/H, Resistance standardized by Height (Ω/m = ohm/meters); Xc/H, Reactance standardized by Height (Ω/m = ohm/meters); Na/K, Sodium/Potassium; BCMI, Body Cell Mass Index; FM, Fat Mass; FFM, Fat-Free Mass; BCM, Body Cell Mass; SMM Skeletal Muscle Mass; TBW, Total Body Water; ECW, Extra-Cellular Water; ICW,Intra-Cellular Water. Correlation among PASI score and anthropometric parameters, body composition and PREDIMED score. There was a significant positive association among PASI score and BMI (a), FM (b), WC (c), and PREDIMED score (d). Correlations among variables were analyzed using Pearson r correlation coefficient. BMI, body mass index; WC, waist circumference; FM, Fat Mass; PREDIMED, PREvención con DIeta MEDiterránea. Correlations between PASI score and CRP levels with dietary components included in the PREDIMED questionnaire in the psoriatic patients Correlations among variables were performed using Pearson r correlation coefficient. PASI, Psoriasis Area Severity Index; CRP, C-reactive protein; PREDIMED, PREvención con DIeta MEDiterránea.

Discussion

Psoriasis is a chronic, immune-mediated inflammatory skin disease. Beyond the skin, psoriasis is associated with a systemic inflammatory state that has been linked to obesity, cardiovascular diseases, and type 2 diabetes. The causes of psoriasis are not fully understood, but a number of risk factors are recognized, including family history and environmental risk factors, such as diet, smoking, stress, obesity, and alcohol consumption [34]. The novel finding of this study is the association between the severity of psoriasis, assessed by PASI score and CRP levels, and the degree of adherence to the Mediterranean diet. In particular, the results of our study show that a higher percentage of psoriatic patients have a low adherence to the Mediterranean diet compared with the age- sex- and BMI-matched control group. In line with the current literature, we found that BMI and abdominal obesity, as measured by WC, were associated with psoriasis [26]. In addition, as also very recently reported [35] in a series of psoriatic patients (treated and untreated) compared with normal weight controls, we found that psoriatic patients exhibited statistically significant differences in body composition evaluated by BIA also compared with BMI-matched control group. In particular, we found that psoriatic patients have lower values of the ratio of TBW to body weight, greater amounts of adiposity and lower muscle mass compared with the obese counterpart without psoriasis. Although in obese patients, subtle variations of the hydration of soft tissues can propagate errors in BIA measures, BIA shows a good agreement with Dual-energy X-ray absorptiometry (DXA) [36], and the role of BIA to estimate body water and for predicting body cell mass is largely demonstrated [37]. These findings might suggest the presence of a form of sarcopenic obesity in psoriatic patients, likely linked to their chronic inflammatory disease, and let us also to hypothesize a worsening effect of psoriasis on body composition among equally obese individuals. Furthermore, after including all BIA parameters as predictive variables in the multiple regression model, FM remained the major predictor of the severity of the psoriasis. Thus, the usefulness of a careful assessment of body composition in the evaluation of the psoriatic patients of both genders is conceivable suggested. Single food components have been suggested to play a role in aetiology and pathogenesis of psoriasis. Previous studies of the relationship of diet and nutrition with psoriasis have focused on either individual nutrients (eg, fish oil, omega 3, vitamin B12, vitamin D, vitamin A, selenium, inositol and zinc and antioxidants) or individual food groups (eg, fruit, vegetables, and fish) [5]. However, diet is a complex combination of foods from various groups and nutrients, and some nutrients are highly correlated. Thus, it is challenging to separate the effect of a single nutrient or food group from that of others in free-living populations [38]. One of the most frequently asked questions by patients with psoriasis is whether dietary changes could improve their disease. Given the negative impact of psoriasis on quality of life, patients often seek information about dietary and lifestyle modifications to assist in clearing their skin lesions [18]. Modifying diet is an accessible and self-empowering method that many patients are eager to embrace in treating their disease. However, despite the fact that nutrition might be considered an adjunctive tool for the treatment of psoriasis, there are no national or international guidelines that recommend an adequate diet for such patients [39]. With increasing awareness that psoriasis is associated with cardiovascular disease and metabolic syndrome, patients may also seek to improve diet to prevent these comorbidities. To the best of our knowledge, this is the first study to look at the association between adherence Mediterranean diet and psoriasis. In particular, the psoriatic patients consumed less EVOO, fruit, fish and nuts, while consumed more red meat compared to the control group. The Mediterranean diet it is characterized by a high intake of fruit and vegetables, legumes, grains and cereals, fish and seafood and nuts; a low intake of dairy products, meat and meat products; and a moderate ethanol intake mainly in the form of wine and during meals [40]. EVOO is the main added lipid and its increased consumption is reflected in the high monounsaturated to saturated fatty acid intake [41]. The most interesting aspect of this study is that adherence to the Mediterranean diet is appraised using only a brief 14-item questionnaire (PREDIMED questionnaire) [31] which is less time-demanding, less expensive and requires less collaboration from participants than the usual full-length food frequency questionnaire (FFQ) or other more comprehensive methods [12]. Moreover, this questionnaire allows to provide feedback to the participant immediately after the interview is completed. In fact, this 14-item tool is a key element in the intervention conducted in the PREDIMED trial and has been previously validated against the FFQ used in the study [42]. In addition, we reported the specific association of each of the 14 individual items included in the PREDIMED score with the PASI score and CRP levels. In particular, PASI score and CRP levels were both negatively correlated not only with the PREDIMED score, but also the consumption of EVOO, vegetables, fruit, legumes, fish and nuts, and positively correlated with the consumption of red meat. Among these food components, EVOO and fish were independent predictors of PASI score and CRP levels, respectively. EVOO is one of many components of the Mediterranean diet. The decarboxy methyl ligstroside aglycone (also known as oleocanthal), a phenolic compound contained in EVOO, has been reported to provide per se both sensory and anti-inflammatory attributes of EVOO, thus contributing to the health benefits associated with the Mediterranean dietary pattern [43]. Oleocanthal is homologous with the non-steroidal anti-inflammatory drug ibuprofen [44] for both perceptual and anti-inflammatory properties. Therefore, it is tempting to speculate that long term consumption of EVOO containing this compound may contribute to significantly reduce the development and/or the progression of chronic inflammatory diseases and to increase the response to biological agents, thus representing a nutritional marker of responsiveness to Tumor Necrosis Factor-α blockers in psoriasis, in association with genetic marker, such as Interleukin 6 gene promoter polymorphism [45]. In this context, we evaluated also the relationship between the CRP levels, produced by the liver under the influence of IL-6 as one of the links between the altered cytokine milieu and psoriasis, and the consumption of EVOO. Indeed, we found higher consumption of EVOO and lower CRP levels in the control group compared with psoriatic patients.

Conclusions

This is the first study to evaluate the association between adherence to the Mediterranean diet and the severity of psoriasis, with a strict relationship between a higher consumption of EVOO and a lower psoriasis severity. Although we are aware that the reduced sample size and the validity of BIA in predicting the FM might be a limitation of our study, the association between the Mediterranean Diet and psoriasis severity suggests the possible beneficial effects of nutritional interventions promoting a Mediterranean food pattern rich in EVOO, fruits, vegetables, fish, chicken and whole grains, as an inexpensive and safe adjuvant treatment for psoriatic patients. Moreover, our study highlights the usefulness of the assessment of body composition by BIA in the evaluation of the psoriatic patients. Further researches on larger sample size are needed to unravel the individual role of the nutrients in the diet on the severity of psoriasis, particularly regarding the naturally occurring anti-inflammatory properties of olecanthal. The Nutritionists should play a central role in the evaluation and management of psoriatic patients.
  45 in total

1.  Clinical evaluation of a more rapid and sensitive Psoriasis Assessment Severity Score (PASS), and its comparison with the classic method of Psoriasis Area and Severity Index (PASI), before and after climatotherapy at the Dead-Sea.

Authors:  M Harari; J Shani; E Hristakieva; A Stanimirovic; W Seidl; A Burdo
Journal:  Int J Dermatol       Date:  2000-12       Impact factor: 2.736

Review 2.  Psoriasis as a systemic disease.

Authors:  Ivan Grozdev; Neil Korman; Nikolai Tsankov
Journal:  Clin Dermatol       Date:  2013-11-23       Impact factor: 3.541

Review 3.  Obesity and psoriasis: inflammatory nature of obesity, relationship between psoriasis and obesity, and therapeutic implications.

Authors:  J M Carrascosa; V Rocamora; R M Fernandez-Torres; R Jimenez-Puya; J C Moreno; N Coll-Puigserver; E Fonseca
Journal:  Actas Dermosifiliogr       Date:  2012-11-23

4.  Prospective assessment of body weight and body composition changes in patients with psoriasis receiving anti-TNF-α treatment.

Authors:  Laura D I Renzo; Rosita Saraceno; Caterina Schipani; Mariagiovanna Rizzo; Alessia Bianchi; Annalisa Noce; Maria Esposito; Sergio Tiberti; Sergio Chimenti; Antonino DE Lorenzo
Journal:  Dermatol Ther       Date:  2011 Jul-Aug       Impact factor: 2.851

Review 5.  Diet and psoriasis, part III: role of nutritional supplements.

Authors:  Jillian W Millsop; Bhavnit K Bhatia; Maya Debbaneh; John Koo; Wilson Liao
Journal:  J Am Acad Dermatol       Date:  2014-04-26       Impact factor: 11.527

6.  -174G/C IL-6 gene promoter polymorphism predicts therapeutic response to TNF-α blockers.

Authors:  Laura Di Renzo; Alessia Bianchi; Rosita Saraceno; Vittorio Calabrese; Caroline Cornelius; Leonardo Iacopino; Sergio Chimenti; Antonino De Lorenzo
Journal:  Pharmacogenet Genomics       Date:  2012-02       Impact factor: 2.089

7.  Sensory characterization of the irritant properties of oleocanthal, a natural anti-inflammatory agent in extra virgin olive oils.

Authors:  Sara Cicerale; Paul A S Breslin; Gary K Beauchamp; Russell S J Keast
Journal:  Chem Senses       Date:  2009-03-08       Impact factor: 3.160

8.  Nutritional status and food intake of patients with systemic psoriasis and psoriatic arthritis associated.

Authors:  Marina Yazigi Solis; Nathalia Stefani de Melo; Maria Elisa Moschetti Macedo; Fabiana Prata Carneiro; Cid Yazigi Sabbag; Antonio Hebert Lancha Júnior; Vera Silvia Frangella
Journal:  Einstein (Sao Paulo)       Date:  2012 Jan-Mar

9.  The prevalence of previously diagnosed and undiagnosed psoriasis in US adults: results from NHANES 2003-2004.

Authors:  Shanu Kohli Kurd; Joel M Gelfand
Journal:  J Am Acad Dermatol       Date:  2008-11-20       Impact factor: 11.527

10.  Bone mineral density and body composition in postmenopausal women with psoriasis and psoriatic arthritis.

Authors:  Paulo G Pedreira; Marcelo M Pinheiro; Vera L Szejnfeld
Journal:  Arthritis Res Ther       Date:  2011-02-07       Impact factor: 5.156

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  37 in total

Review 1.  Dietary Intervention and Supplements in the Management of Psoriasis: Current Perspectives.

Authors:  Mimi Chung; Erin Bartholomew; Samuel Yeroushalmi; Marwa Hakimi; Tina Bhutani; Wilson Liao
Journal:  Psoriasis (Auckl)       Date:  2022-06-22

2.  Association Between Mediterranean Anti-inflammatory Dietary Profile and Severity of Psoriasis: Results From the NutriNet-Santé Cohort.

Authors:  Céline Phan; Mathilde Touvier; Emmanuelle Kesse-Guyot; Moufidath Adjibade; Serge Hercberg; Pierre Wolkenstein; Olivier Chosidow; Khaled Ezzedine; Emilie Sbidian
Journal:  JAMA Dermatol       Date:  2018-09-01       Impact factor: 10.282

Review 3.  Insulin resistance and skin diseases.

Authors:  Maddalena Napolitano; Matteo Megna; Giuseppe Monfrecola
Journal:  ScientificWorldJournal       Date:  2015-04-21

4.  Nutrition: a key environmental dietary factor in clinical severity and cardio-metabolic risk in psoriatic male patients evaluated by 7-day food-frequency questionnaire.

Authors:  Luigi Barrea; Paolo Emidio Macchia; Giovanni Tarantino; Carolina Di Somma; Elena Pane; Nicola Balato; Maddalena Napolitano; Annamaria Colao; Silvia Savastano
Journal:  J Transl Med       Date:  2015-09-16       Impact factor: 5.531

5.  Bioelectrical phase angle and psoriasis: a novel association with psoriasis severity, quality of life and metabolic syndrome.

Authors:  Luigi Barrea; Paolo Emidio Macchia; Carolina Di Somma; Maddalena Napolitano; Anna Balato; Andrea Falco; Maria Cristina Savanelli; Nicola Balato; Annamaria Colao; Silvia Savastano
Journal:  J Transl Med       Date:  2016-05-10       Impact factor: 5.531

Review 6.  Dietary Strategies Implicated in the Prevention and Treatment of Metabolic Syndrome.

Authors:  Rocio de la Iglesia; Viviana Loria-Kohen; Maria Angeles Zulet; Jose Alfredo Martinez; Guillermo Reglero; Ana Ramirez de Molina
Journal:  Int J Mol Sci       Date:  2016-11-10       Impact factor: 5.923

7.  Managing Psoriatic Arthritis With a Whole Food Plant-Based Diet: A Case Study.

Authors:  Marta Lewandowska; Kate Dunbar; Shireen Kassam
Journal:  Am J Lifestyle Med       Date:  2021-02-12

8.  Nutrition and Osteoporosis: Preliminary data of Campania Region of European PERsonalised ICT Supported Service for Independent Living and Active Ageing.

Authors:  L Vuolo; L Barrea; M C Savanelli; S Savastano; M Rubino; E Scarano; M Soprano; M Illario; A Colao; C Di Somma
Journal:  Transl Med UniSa       Date:  2016-01-31

Review 9.  Environmental Risk Factors in Psoriasis: The Point of View of the Nutritionist.

Authors:  Luigi Barrea; Francesca Nappi; Carolina Di Somma; Maria Cristina Savanelli; Andrea Falco; Anna Balato; Nicola Balato; Silvia Savastano
Journal:  Int J Environ Res Public Health       Date:  2016-07-22       Impact factor: 3.390

10.  Evaluation of Healthy Lifestyle Behaviors in Psoriasis Patients.

Authors:  Fatma Deniz; Ilknur Kivanc Altunay; Ezgi Ozkur; Asli Aksu Cerman; Hilal Kaya Erdogan; Isil Bulur
Journal:  Sisli Etfal Hastan Tip Bul       Date:  2021-07-02
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