Association of Metabolically Healthy Obesity and Glomerular Filtration Rate among Male Steelworkers in North China

Yu, Maria; Zhang, Shengkui; Wang, Lihua; Feng, Hongman; Li, Xiaoming; Wu, Jianhui; Yuan, Juxiang

doi:10.3390/ijerph191811764

Cited by 2 publications

(2 citation statements)

References 45 publications

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“…The worsening of renal conditions is a clear indication of inflammation, as stated for patients suffering from pathological obesity, that are characterized by impaired insulin sensitivity and higher levels of HbA1c too [14], a diagnostic marker of pre-diabetes and T2D diabetes.…”

Section: Discussionmentioning

confidence: 99%

Gut microbiota and fecal volatilome profile inspection in metabolically healthy and unhealthy obesity phenotypes

Calabrese,

Genchi,

Serale

et al. 2024

J Endocrinol Invest

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Background People with metabolically healthy (MHO) and metabolically unhealthy obesity (MUO) differ for the presence or absence of cardio-metabolic complications, respectively. Objective Based on these differences, we are interested in deepening whether these obesity phenotypes could be linked to changes in microbiota and metabolome profiles. In this respect, the overt role of microbiota taxa composition and relative metabolic profiles is not completely understood. At this aim, biochemical and nutritional parameters, fecal microbiota, metabolome and SCFA compositions were inspected in patients with MHO and MUO under a restrictive diet regimen with a daily intake ranging from 800 to 1200 kcal. Methods Blood, fecal samples and food questionnaires were collected from healthy controls (HC), and an obese cohort composed of both MHO and MUO patients. Most impacting biochemical/anthropometric variables from an a priori sample stratification were detected by applying a robust statistics approach useful in lowering the background noise. Bacterial taxa and volatile metabolites were assessed by qPCR and gas chromatography coupled with mass spectrometry, respectively. A targeted GC–MS analyses on SCFAs was also performed. Results Instructed to follow a controlled and restricted daily calorie intake, MHO and MUO patients showed differences in metabolic, gut microbial and volatilome signatures. Our data revealed higher quantities of specific pro-inflammatory taxa (i.e., Desulfovibrio and Prevotella genera) and lower quantities of Clostridium coccoides group in MUO subset. Higher abundances in alkane, ketone, aldehyde, and indole VOC classes together with a lower amount of butanoic acid marked the faecal MUO metabolome. Conclusions Compared to MHO, MUO subset symptom picture is featured by specific differences in gut pro-inflammatory taxa and metabolites that could have a role in the progression to metabolically unhealthy status and developing of obesity-related cardiometabolic diseases. The approach is suitable to better explain the crosstalk existing among dysmetabolism-related inflammation, nutrient intake, lifestyle, and gut dysbiosis.

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Section: Discussionmentioning

confidence: 99%

Gut microbiota and fecal volatilome profile inspection in metabolically healthy and unhealthy obesity phenotypes

Calabrese,

Genchi,

Serale

et al. 2024

J Endocrinol Invest

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“…The definitions of obesity, metabolic abnormalities, and obesity phenotypes have been detailed in our previous studies [ 25 ]. In brief, obesity was defined as a body mass index (BMI) ≥ 25 kg/m 2 in accordance with the obesity diagnostic criteria established by the World Health Organization for Asian populations [ 26 , 27 ].…”

Section: Methodsmentioning

confidence: 99%

Metabolically Healthy Obesity and Carotid Plaque among Steelworkers in North China: The Role of Inflammation

Zhang

Wang

et al. 2022

Nutrients

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This study aimed to investigate the association between metabolically healthy obesity (MHO) and carotid plaque. In this cross-sectional survey, 3467 steelworkers in North China were surveyed. There are two criteria for defining a carotid plaque: (1) the lesion structure exceeds 50% of the peripheral intima-media thickness value or invades the arterial lumen by at least 0.5 mm; (2) a thickness > 1.5 mm from the intima–lumen interface to the media–adventitia interface. Metabolic health was defined as the nonexistence of one of the metabolic syndrome (MetS) diagnostic criteria for metabolic abnormalities. Obesity was defined as having a BMI ≥ 25 kg/m2. To calculate the odds ratio (OR) for the prevalence carotid plaque, a logistic regression was used for the analysis. The prevalence of carotid plaque in the subjects was 14.3% for metabolically healthy non-obesity (MHNO), 32.4% for MHO, 18.9% for metabolically unhealthy non-obesity (MUNO), and 46.8% for metabolically unhealthy obesity (MUO). The odds ratios for suffering from carotid plaque were 1.27 (95% CI: 0.69 to 2.32) for MHO, 1.83 (95% CI: 1.29 to 2.58) for MUNO, and 1.81 (1.28 to 2.56) for MUO in comparison with MHNO after adjusting for confounders. There was no association between the MHO phenotype and carotid plaque prevalence among steelworkers in North China.

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Association of Metabolically Healthy Obesity and Glomerular Filtration Rate among Male Steelworkers in North China

Cited by 2 publications

References 45 publications

Gut microbiota and fecal volatilome profile inspection in metabolically healthy and unhealthy obesity phenotypes

Gut microbiota and fecal volatilome profile inspection in metabolically healthy and unhealthy obesity phenotypes

Metabolically Healthy Obesity and Carotid Plaque among Steelworkers in North China: The Role of Inflammation

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