Adipose-inflammatory factor profiles in children with metabolically healthy obesity and their correlation with NAFLD severity

代谢健康型肥胖儿童的脂肪组织炎症因子谱及其与非酒精性脂肪性肝病严重程度的相关性

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Abstract

OBJECTIVE: To compare adipose-inflammatory factor profiles between children with metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUO), and analyze their associations with non-alcoholic fatty liver disease (NAFLD) severity in MHO. METHODS: This retrospective study included 500 obese children (162 MHO, 338 MUO) and 162 metabolically healthy lean (MHL) controls. Anthropometric, metabolic parameters, and serum levels of key adipose-inflammatory factors (including adiponectin, leptin, resistin, RBP-4, PGRN, TNF-α, IL-6, and CCL2) were compared. ROC curve analysis was used to evaluate diagnostic efficacy of adipose-inflammatory factors for differentiating phenotypes. NAFLD prevalence was assessed, and relationships of adipose-inflammatory factors with NAFLD activity score (NAS) and steatosis, activity, and fibrosis (SAF) score in MHO children with NAFLD were analyzed by Spearman's correlation analysis. RESULTS: Metabolic parameters and adipose-inflammatory factor levels (leptin, resistin, RBP-4, PGRN, TNF-α, IL-6, CCL2) were significantly higher in MHO than MHL, and further elevated in MUO, while adiponectin showed an inverse trend (all P < 0.05). These factors demonstrated good to excellent diagnostic value for distinguishing MHL from both obese phenotypes (AUC range: 0.695-0.894), and moderate value for distinguishing MHO from MUO (AUC range: 0.636-0.740; all P < 0.001). NAFLD prevalence was 29.01% in MHO vs. 46.15% in MUO (P < 0.001). In MHO children with NAFLD, adiponectin levels correlated negatively with NAS and SAF score (r = -0.668, -0.641), whereas all other factors showed positive correlations (r = 0.468-0.681, all P < 0.001). CONCLUSION: MHO children exhibit dysregulation of adipose-inflammatory factors and a considerable risk for NAFLD. These factors, especially adiponectin and leptin, effectively discriminate metabolic phenotypes and correlate with liver injury severity in MHO, suggesting their potential utility as early biomarkers and therapeutic targets.

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