Metabolic and Candidate Genetic Factors Associated with Overweight/Obesity in Patients of Kazakh Ethnicity with Psoriasis: A Cross-Sectional Study

Botagoz Zhumabekova, Gulnara Svyatova, Gulsum Askarova, Zhanay Akanov, Mir-Ali Baltabaev, Anastassiya Ge, Auyeskhan Dzhumabekov, Gulbanu S. Berdiyarova, Ayash Baisultanova, Gaukhar Issakova

Medicina, 2026

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.3390/medicina62081448
Data confidence 70 medium
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Abstract

Background and Objectives: Psoriasis is a chronic immune-mediated inflammatory disease frequently accompanied by obesity and cardiometabolic disturbances. This study evaluated metabolic, inflammatory, and genetic correlates of overweight/obesity in ethnic Kazakh patients with psoriasis and explored potential multilocus genetic interactions. Materials and Methods: This study included 150 patients with clinically confirmed psoriasis, comprising 75 patients with overweight/obesity and 75 non-overweight/obese individuals frequency-matched by age and sex; because group sizes were fixed by design rather than sampled in proportion to prevalence, the reported odds ratios reflect within-sample associations rather than population-level risk estimates. Clinical, anthropometric, biochemical, inflammatory, and genetic data were collected using standardized protocols. Multivariable logistic regression was used to assess clinical, metabolic, and inflammatory correlates of overweight/obesity. Associations between three candidate polymorphisms, rs1558902 in FTO, rs696574 in CALCRL, and rs10968110 in ZTV, were evaluated. Results: In the multivariable model adjusted for age and sex, higher triglyceride levels (adjusted OR 4.73, 95% CI 1.36–18.57), higher HbA1c (adjusted OR 1.71, 95% CI 1.09–2.91), and lower HDL-C levels (adjusted OR 0.36, 95% CI 0.18–0.66) were independently associated with overweight/obesity. In genetic analyses, rs10968110 in ZTV showed significant associations with overweight/obesity in genotype, additive trend, allelic, and dominant models, while the recessive model was not significant. The FTO rs1558902 variant was also significantly associated with overweight/obesity, with the strongest support observed under additive, allelic, and dominant assumptions. In contrast, rs696574 in CALCRL was not significantly associated with overweight/obesity. Exploratory MDR analysis identified rs10968110 as the most stable single-locus model, whereas higher-order models showed only limited additional discriminatory value and lower cross-validation consistency. Conclusions: Among ethnic Kazakh patients with psoriasis, overweight/obesity was associated with an adverse cardiometabolic profile characterized by elevated triglycerides, higher HbA1c, and reduced HDL-C. Candidate genetic findings suggest that ZTV rs10968110 and FTO rs1558902 may be associated with overweight/obesity susceptibility, although these results should be considered exploratory pending validation in larger independent cohorts. These findings support integrated cardiometabolic assessment in psoriasis care and further investigation of genetic susceptibility to obesity in this population.