{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T11:25:01Z","timestamp":1786965901693,"version":"build-2736575974"},"reference-count":42,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T00:00:00Z","timestamp":1786924800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diseases"],"abstract":"<jats:p>Background: Psoriatic arthritis (PsA) is a chronic inflammatory disease frequently associated with obesity and metabolic comorbidities. Increasing evidence suggests that obesity is associated with systemic inflammation, insulin resistance, and adverse clinical outcomes; however, the immunometabolic profile associated with obesity in PsA has not been fully characterized. Objective: To investigate the relationship between obesity, inflammatory biomarkers, cytokine profiles, metabolic parameters, insulin resistance, and disease-related characteristics in patients with PsA. Methods: In this monocentric cross-sectional study, 224 consecutive patients fulfilling the Classification Criteria for Psoriatic Arthritis (CASPAR) for PsA were evaluated. Clinical, inflammatory, metabolic, and cytokine-related variables were analyzed within an integrated immunometabolic framework. Patients were stratified according to obesity status based on body mass index (BMI \u2265 30 kg\/m2). Correlation analyses, multivariable regression analyses, and exploratory machine-learning approaches were applied to identify multidimensional patterns associated with obesity. Adjusted multivariable regression analyses were performed to account for available demographic, clinical, comorbidity-related, and therapeutic covariates. Results: Ninety-four patients (42.0%) were classified as obese and 130 (58.0%) as non-obese. Compared with non-obese patients, obese individuals exhibited significantly higher levels of C-reactive protein (CRP; 0.31 vs. 0.13 mg\/dL, p &lt; 0.001), erythrocyte sedimentation rate (ESR; 15.0 vs. 10.0 mm\/h, p = 0.006), serum amyloid A (SAA; 7.7 vs. 6.4 mg\/L, p = 0.008), insulin (8.0 vs. 6.1 \u03bcU\/mL, p &lt; 0.001), glycated hemoglobin (HbA1c; 38.0 vs. 37.0 mmol\/mol, p = 0.003), Homeostasis Model Assessment of Insulin Resistance (HOMA-IR; 1.29 vs. 1.21, p = 0.007), triglycerides (106.0 vs. 85.0 mg\/dL, p = 0.019), and Health Assessment Questionnaire (HAQ) scores (p &lt; 0.001). Obese patients also showed a higher prevalence of hypertension (18.1% vs. 6.9%, p = 0.018). BMI was positively correlated with several inflammatory, metabolic, and disease-related variables, including CRP (\u03c1 = 0.383), interleukin-6 (IL-6; \u03c1 = 0.295), insulin (\u03c1 = 0.289), ESR (\u03c1 = 0.245), SAA (\u03c1 = 0.228), HbA1c (\u03c1 = 0.199), HAQ score (\u03c1 = 0.351), and Disease Activity Index for Psoriatic Arthritis (DAPSA) score (\u03c1 = 0.183), while showing an inverse correlation with high-density lipoprotein cholesterol (HDL-C) (\u03c1 = \u22120.189). After adjustment for age, sex, disease duration, DAPSA, hypertension, type 2 diabetes mellitus, and current therapy class, obesity remained associated with higher CRP and fasting insulin levels and with greater odds of belonging to a higher HAQ category. Machine-learning analyses identified inflammatory biomarkers, insulin resistance indices, and lipid-related parameters as the most informative features associated with obesity-related phenotypes. Conclusions: Obesity in PsA was associated with a broader immunometabolic phenotype characterized by increased inflammatory burden, metabolic dysfunction, and worse functional outcomes. These findings support the integration of metabolic and cardiovascular assessment into routine rheumatology practice and highlight obesity as an important marker of increased immunometabolic and clinical burden in PsA. Although the cross-sectional design precludes causal inference, the observed associations may help identify patients requiring closer metabolic and cardiovascular assessment.<\/jats:p>","DOI":"10.3390\/diseases14080296","type":"journal-article","created":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T10:04:36Z","timestamp":1786961076000},"page":"296","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Body Mass Index Is Associated with the Immunometabolic Profile in Psoriatic Arthritis: Real-Life Data"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-6744-9533","authenticated-orcid":false,"given":"Christian","family":"D\u2019Elia","sequence":"first","affiliation":[{"name":"Department of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence, 50134 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Edda","family":"Russo","sequence":"additional","affiliation":[{"name":"Clinical Pathology S. Giuseppe Hospital, Azienda USL-Toscana Centro, 50053 Empoli, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giada","family":"Santagata","sequence":"additional","affiliation":[{"name":"Department of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence, 50134 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Viola","family":"Svelti","sequence":"additional","affiliation":[{"name":"Department of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence, 50134 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2722-6475","authenticated-orcid":false,"given":"Serena","family":"Guiducci","sequence":"additional","affiliation":[{"name":"Department of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence, 50134 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mariangela","family":"Manfredi","sequence":"additional","affiliation":[{"name":"Immunology and Allergology Laboratory Unit, S. Giovanni di Dio Hospital, Azienda USL-Toscana Centro, 50134 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6200-4467","authenticated-orcid":false,"given":"Maria","family":"Infantino","sequence":"additional","affiliation":[{"name":"Immunology and Allergology Laboratory Unit, S. Giovanni di Dio Hospital, Azienda USL-Toscana Centro, 50134 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesca","family":"Li Gobbi","sequence":"additional","affiliation":[{"name":"Rheumatology Unit, S. Giovanni di Dio Hospital, Azienda USL-Toscana Centro, 50143 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8180-6660","authenticated-orcid":false,"given":"Maurizio","family":"Benucci","sequence":"additional","affiliation":[{"name":"Rheumatology Unit, S. Giovanni di Dio Hospital, Azienda USL-Toscana Centro, 50143 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,8,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"957","DOI":"10.1056\/NEJMra1505557","article-title":"Psoriatic Arthritis","volume":"376","author":"Ritchlin","year":"2017","journal-title":"N. Engl. J. Med."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1586\/1744666X.2016.1139453","article-title":"Psoriatic arthritis: Complexities, comorbidities and implications for the clinic","volume":"12","author":"Haroon","year":"2016","journal-title":"Expert Rev. Clin. Immunol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1349","DOI":"10.3899\/jrheum.121500","article-title":"Incremental Effects of Comorbidity on Quality of Life in Patients with Psoriatic Arthritis","volume":"40","author":"Husted","year":"2013","journal-title":"J. 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