AUTHOR=Feng Xiaojing , Yang Yanyi , Xie Huiqi , Zhuang Siqi , Fang Yiyuan , Dai Yufeng , Jiang Ping , Chen Hongzhi , Tang Haoneng , Tang Lingli 

TITLE=The Association Between Hyperuricemia and Obesity Metabolic Phenotypes in Chinese General Population: A Retrospective Analysis

JOURNAL=Frontiers in Nutrition

VOLUME=Volume 9 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/nutrition/articles/10.3389/fnut.2022.773220

DOI=10.3389/fnut.2022.773220

ISSN=2296-861X

ABSTRACT=Purpose: Serum uric acid not only affects the development of obesity, but also alters the metabolic status in obese subjects, thus we investigated relationship between serum uric acid and the overweight/obese metabolic phenotypes.
Methods: The demographic, biochemical and hematological data were collected for 12,876 patients undergoing routine physical examination and 6912 participants were enrolled in our study. Participants were classified into four obesity metabolic phenotypes according to their BMI and the presence of metabolic syndrome: metabolically healthy overweight/obese (MHOO), metabolically healthy and normal weighted (MHNW), metabolically abnormal and overweight/obese (MAOO) and metabolically abnormal but normal weighted (MANW). Univariate and multivariate logistic regression analysis, stratified analysis as well as interaction analysis were conducted to analyze the relationship between serum uric acid and obesity metabolic phenotypes. 
Results: Multivariable logistic regression analysis showed that hyperuricemia was positively associated with MHOO, MANW and MAOO phenotype relative to MHNW. After adjusting for the confounding factors, the odds ratios (OR) for individuals with hyperuricemia to be MHOO, MANW and MAOO phenotype were 1.86(1.42-2.45), 2.30(1.44-3.66) and 3.15(2.34-4.24) respectively. The ORs for having MHOO, MANW and MAOO increases 6% [OR: 1.06(1.05-1.07), P<0.0001], 5% [OR: 1.05(1.03-1.07), P<0.0001] and 11% [OR: 1.11(1.10-1.13), P<0.0001] for each 10 unit (μmol/L) of increase in serum uric acid level. Stratification analysis as well as interaction test showed that sex and age did not interfere with the association of hyperuricemia and each metabolic phenotype. In terms of the components of the metabolic syndrome, after adjusting for other confounding factors including all of the metabolic indicators except itself, hyperuricemia was positively associated with increased BMI [OR: 1.66(1.32–2.09), P<0.0001], hypertriglyceridemia [OR: 1.56 (1.21-2.02), P=0.0006] and hypertension [OR: 1.22(1.03-1.46), P=0.0233], while had no significant association with hyperglycemia and low HDL-C (all P >0.05).
Conclusions: In our study, we discovered that hyperuricemia was positively associated with MHOO, MANW and MAOO phenotypes, and this relationship was independent of sex and age.