Contribution of Different Phenotypes of Obesity to Metabolic Abnormalities from a Cross-Sectional Study in the Northwest China

Lu, Xixuan; Wang, Qiang; Liang, Huaping; Xu, Liangzhi; Sha, Lei; Wu, Yidi; Ma, Liting; Yang, Ping; Lei, Hong

doi:10.2147/dmso.s314935

Cited by 5 publications

(6 citation statements)

References 72 publications

(83 reference statements)

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“…Evidence from multiple studies supports the close relationship between hyperuricemia and hypercholesterolemia, hyperglycemia and hyperlipidemia. [20,21] This also explains the findings of this study, which showed an increased risk of hyperuricemia for all metabolic phenotypes compared with the MHNW group. The increase in serum uric acid in obese individuals may be attributed to 2 factors: excess purine production due to excess energy and poor renal excretion.…”

Section: Discussionsupporting

confidence: 77%

Association between metabolic obesity phenotype, transition of metabolic phenotypes and the risk of hyperuricemia in Chinese adults: A cohort study

Zhao

2022

Medicine

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Prospective evidence on the association of obesity and metabolic health status and its transition over time with the risk of hyperuricemia in the Chinese population is limited. This study aims to investigate the phenotypic transition characteristics of metabolic obesity in Chinese adults and its association with hyperuricemia. Using the China Health and Retirement Longitudinal Survey (CHARLS) survey data in 2011 and 2015, 6059 adults aged ≥ 18 years were selected as the research people. The participants’ general information, living habits, blood sample testing, and blood uric acid testing data during follow-up were extracted. According to body weight and metabolic health status, obesity phenotypes were divided into: metabolically normal weight group (MHNW), metabolically normal overweight/obesity group (MHOWO); metabolically abnormal normal weight group (MUNW); metabolically abnormal overweight/obese group (MUHOWO). Multiple linear regression was used to evaluate the correlation between metabolic obesity phenotype and serum uric acid level, and logistic regression model was used to analyze the association of metabolic obesity phenotype and transition with the risk of hyperuricemia. The average age of all subjects was (58.62 ± 8.93) years old, and 42.1% were male. The MHOWO phenotype was present in 19.2% of the general population and 48.6% of the baseline who were overweight or obese population. During the 4-year follow-up period, only 10.7% of participants with MHNW at baseline converted to MHOWO. Among MHOWO participants, 21.2% converted to MUHOWO. MHOWO also increased the risk of hyperuricemia (OR, 1.57; 95% CI 1.15–2.13; P = .004), both in obese and normal-weight individuals, even when metabolic status changed from unhealthy to healthy. Risk of hyperuricemia was high among those who remained metabolically unhealthy but of normal weight (OR, 3.09; 95% CI 1.51–6.30; P = .001). MHOWO also increases the risk of hyperuricemia, and MHOWO remains stable or changes to MUHOWO, which increases the risk of hyperuricemia. Therefore, close attention should be paid to the transition of metabolic health status over time, and individualized prevention strategies should be focused on metabolically unhealthy and obese individuals.

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Section: Discussionsupporting

confidence: 77%

Association between metabolic obesity phenotype, transition of metabolic phenotypes and the risk of hyperuricemia in Chinese adults: A cohort study

Zhao

2022

Medicine

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“…The influence of adiposity alone on hepatic and extrahepatic glucose handling remains unclear. Evidence from most (22,23) , but not all (24) studies has shown that obese individuals have similar fasting plasma glucose levels compared to lean individuals, despite being more IR. In contrast, high postprandial glycaemia is often observed in individuals with obesity or type 2 diabetes (25,26) and may precede the deterioration of fasting glycaemic control (27,28) .…”

Section: Plasma Insulin Glucose and Lipids: The Effect Of Obesitymentioning

confidence: 99%

Dysregulation of hepatic metabolism with obesity: factors influencing glucose and lipid metabolism

et al. 2021

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The liver is a key metabolic organ that undertakes a multitude of physiological processes over the course of a day, including intrahepatic lipid and glucose metabolism which plays a key role in the regulation of systemic lipid and glucose concentrations. It serves as an intermediary organ between exogenous (dietary) and endogenous energy supply to extrahepatic organs. Thus, perturbations in hepatic metabolism can impact widely on metabolic disease risk. For example, the accumulation of intra-hepatocellular TAG (IHTG), for which adiposity is almost invariably a causative factor may result in dysregulation of metabolic pathways. Accumulation of IHTG is likely due to an imbalance between fatty acid delivery, synthesis and removal (via oxidation or export as TAG) from the liver; insulin plays a key role in all of these processes.

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“…Heavy and central obesity increases the risk of metabolic abnormalities by 2.6 folds. Moreover, fatty liver condition was observed in normal-weight populations with central obesity [12]. In the US population, a high risk of obesity was observed in non-OB individuals along with CVD risk factors rather than in OB without CVD [13].…”

Section: Introductionmentioning

confidence: 98%

“…Abdominal obesity (high WC) clustered with MetSyn or CVD risk factors may better predict the risk of metabolic abnormalities [8][9][10] . Recent studies discussed classifying obesity phenotypes with metabolic abnormalities in healthy/unhealthy populations and finding useful tools for obesity [11][12][13][14]. A study reported that approximately 30% of individuals with obesity were metabolically healthy, and visceral fats or the thickness of the carotid artery were lower in individuals with "metabolically healthy" obesity than in those with "metabolically unhealthy" obesity [11].…”

Section: Introductionmentioning

confidence: 99%

Tracking Obesity Phenotypes in Korean Adults Based on KNHANES (2015-2019)

Shin¹,

Kim²,

Lee³

2022

Preprint

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The prevalence of obesity in Korean adults was 56.1% in 2019. This study aimed to find obesity phenotypes from the KNHANES(2015–2019) and determine the risk factors associated with each type. In 15,179 participants, three obesity phenotypes, high BMI (short heavy obesity, n=1,685), high waist circumference (WC) (tall abdominal obesity, n=549), and BMI/WC combination (heavy abdominal obesity, n=3,538), were compared to non-OB (n=9,425). Marital status, lower income and education levels were highly associated with abdominal obesity. Insufficient exercise or skipping breakfast were associated with the WC or BMI/WC obesity type. The BMI/WC risk was 3.25 times higher in males with high TG and 4.6–4.8 times higher in females with high FAS or TG, and the risk increased to 7-8 times higher in three combinations (HYP+HDLc+FBS) compared to the control. The K-Score to test balanced diets was lower in BMI/WC than in others. Low intakes of FI-4(fruits) in men and FI-2(meat), FI-3 (vegetables), and FI-5 (milk/milk products) in women with BMI/WC and WC types, but BMI type was not associated with diets. Compared to BMI, the BMI/WC or WC obesity type was an indicator of metabolically unhealthy obesity associated with obesogenic environments including food/diets pattern and unhealthy behaviors.

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Contribution of Different Phenotypes of Obesity to Metabolic Abnormalities from a Cross-Sectional Study in the Northwest China

Cited by 5 publications

References 72 publications

Association between metabolic obesity phenotype, transition of metabolic phenotypes and the risk of hyperuricemia in Chinese adults: A cohort study

Association between metabolic obesity phenotype, transition of metabolic phenotypes and the risk of hyperuricemia in Chinese adults: A cohort study

Dysregulation of hepatic metabolism with obesity: factors influencing glucose and lipid metabolism

Tracking Obesity Phenotypes in Korean Adults Based on KNHANES (2015-2019)

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