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Endokrynologia Polska

Publisher:
—
ISSN:
0423-104X
Category:
ENDOCRINOLOGY & METABOLISM
Impact factor:
2

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2 parsed articles

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Latest articles

Assessment of serum concentrations of the “satiety hormone” — peptide YY concentration in body weight disorders in girls with anorexia nervosa and obesity

2026-02-17

Katarzyna Gołąb-Jenerał, Małgorzata Blaska, Karolina Ziora-Jakutowicz, Elżbieta Świętochowska, Agnieszka Zachurzok, Katarzyna Ziora

Introduction: Peptide YY (PYY), a key satiety hormone, exhibits altered serum concentrations in body weight disorders, although its role remains debated. Conflicting adult studies highlight the need to clarify PYY 1-36 dynamics in pediatric populations with anorexia nervosa (AN) and obesity (OB). Material and methods: Fasting serum PYY 1-36 concentrations were analyzed in 199 girls: 58 with restrictive AN [median age 15.0 (interquartile range; IQR): 14.0–16.0 years], 52 with OB [14.3 (12.3–16.3) years], and 89 healthy controls (C) [16.5 (15.5–17.5) years]. Anthropometric and metabolic/hormonal parameters were assessed. Group differences were evaluated using the Kruskal-Wallis rank-sum test. Relationships between fasting serum peptide YY (PYY) 1-36 concentrations and demographic/clinical parameters were examined using Spearman rank correlation coefficients. Results: AN patients had significantly higher PYY 1-36 levels [77.2 (71.1–82.4) pg/mL] compared to OB [36.0 (34.3–38.5) pg/mL] and C [49.7 (46.7–51.5) pg/mL; p < 0.001]. A strong inverse correlation between PYY and body mass index (BMI) was observed across all subjects (Rho = −0.8, p < 0.001). Receiver operating characteristic (ROC)-derived cut-offs differentiated AN (> 59.04 pg/mL; sensitivity 95%, specificity 100%) and OB (< 43.18 pg/mL; sensitivity 89%, specificity 90%) from C. Conclusions: 1. Our research underscores significant PYY concentration disparities among weight disorders. 2. Significant differences in PYY concentrations in girls with body weight disorders as compared to healthy girls with normal body weight may indicate a role of this peptide in the body’s adaptation to maintain energy homeostasis in connection with the ongoing disease.

Association between multiple inflammatory indices and gout: a cross-sectional study based on clinical and NHANES data

2026-02-11

Chenjing Xu, Qing Liu, Zhiwu Kuai, Aifeng He

Introduction: Gout has placed a significant burden on healthcare expenditures and society in recent decades. The systemic immune-inflammation index (SII) and systemic inflammatory response index (SIRI) have been used as new non-specific inflammatory markers. This study aims to investigate the possible association between these markers and gout. Material and methods: Gout patients and non-gout participants were recruited from our hospital and the 2007–2016 National Health and Nutrition Examination Survey (NHANES) database. The differences in clinical data, SII, and SIRI between the two groups were compared. Logistic regression analysis was used to examine the relationship between each variable and the occurrence of gout. After adjusting for confounding factors, the relationship between multiple inflammatory indices and gout risk was further evaluated and visualized by the restricted cubic spline (RCS) model. Results: There were significant differences in gender, age, education level, body mass index, smoking status, alcohol consumption, hypertension, and diabetes between gout patients and healthy controls (p < 0.05). Male patients, older age, married, low education level, smoking, drinking, diabetes, high neutrophil count, high monocyte count, high platelet count, and high Systemic Immune-Inflammation Index (SII) and Systemic Inflammation Response Index (SIRI) index are risk factors for gout. Spearman correlation analysis revealed that lymphocyte count and platelet count were negatively correlated with serum uric acid levels, whereas neutrophil count, monocyte count, and SIRI index were positively correlated with serum uric acid levels. The results were further validated through analysis of the NHANES database. Conclusions: Our findings suggest that SII and SIRI are positively correlated with a high risk of gout and can be used as novel inflammatory markers for gout.