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Summary: Objective: Children with overweight/obesity (OW/OB) exhibit poor cardiometabolic health, yet mechanisms influencing brain health remain unclear. We examined the differences in neurological‐related circulating proteins in plasma among children with metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUO) and the association with metabolic syndrome markers. Methods: In this cross‐sectional study, we included 84 Caucasian children (39% girls), aged 10.1 ± 1.1 years, from the ActiveBrains project (NCT02295072). A ninety‐two‐protein targeted approach using Olink's® technology was used. Results: We identified distinct concentrations of CD38, LAIR2, MANF and NRP2 proteins in MHO compared with MUO. Moreover, individual metabolic syndrome (MS) markers were linked to nine proteins (CD38, CPM, EDA2R, IL12, JAMB, KYNU, LAYN, MSR1 and SMOC2) in children with OW/OB. These proteins play crucial roles in diverse biological processes (e.g., angiogenesis, cholesterol transport, nicotinamide adenine dinucleotide (NAD+) catalysis and maintenance of blood–brain barrier) related to brain health. Conclusion: Our proteomics study suggests that cardiometabolic health (represented by MHO/MUO or individual MS markers) is associated with the concentration in plasma of several proteins involved in brain health. Larger‐scale studies are needed to contrast/confirm these findings, with CD38 standing out as a particularly noteworthy and robust discovery. [ABSTRACT FROM AUTHOR]

Obesity has become a harmful factor for life expectancy through a series of diseases, but research on obesity in the past few decades has obtained only limited results. The discovery of the metabolic healthy obesity phenomenon brings a new direction for research of obesity problem, but the lack of an animal of metabolic healthy obesity limits its study. Tupaia belangeri is a new type of experimental animal emerging in recent years and is extremely widely used in various disease models because of its evolutionary status and high affinity with primates. Here, in order to judge whether this new experimental animal can serve as special materials in obesity research, we constructed an obesity model in T. belangeri by using highfat food, then studied animal insulin sensitivity, blood pressure, blood biochemistry, routine blood, inflammatory response, and liver fat accumulation, etc. We found that T. belangeri had no metabolic disorders such as insulin resistance, hypertension, or hyperlipidemia after obesity, and there were also no typical obesity complications such as diabetes, inflammation, or fatty liver. To sum up, we suggest that T. belangeri can be used as an animal model of metabolic healthy obesity, and the special model organism of metabolic healthy obesity will provide us with new opportunities to study obesity problems. [ABSTRACT FROM AUTHOR]

The aim of this study was to investigate whether skeletal muscle (SM) mass correlates with plasma lipids in metabolic healthy young adults. The study was designed as a retrospective observational monocentric study. Data on plasma lipids and SM mass of subjects attending our institution from 1999 to 2014 were analyzed. Inclusion criteria were being 18–45 years old and in apparently good health. SM mass was evaluated by bioelectrical impedance analysis (BIA) using the equation proposed by Janssen and normalized to height as skeletal muscle index (SMI: SM mass/height2). The association between SMI and plasma lipids levels was examined using a crude and adjusted linear regression model including age, sex, BMI and waist circumference as additional covariates. The study population consisted of 450 subjects (273 females) without metabolic syndrome (12.2% with normal body weight, 33.1% overweight, and 54.7% with obesity). SMI, total-cholesterol, LDL-cholesterol, and Triglycerides were higher, whereas HDL-cholesterol was lower in overweight and obese patients as compared with normal weight subjects. SMI was inversely associated with HDL-cholesterol in female patients with obesity but not in male patients with obesity, in normal- or over-weight subjects (p < 0.05). These results suggest that changes in SM mass occurring in obesity could have a role in worsening lipid profile with special reference to HDL-cholesterol. [ABSTRACT FROM AUTHOR]

Abstract Background Obesity has been confirmed to be associated with infertility. However, the association between metabolically healthy obesity (MHO), a subset of obesity with no metabolic abnormalities, and female infertility has not yet been investigated. This study aimed to examine the association between MHO and the risk of female infertility among United States. Methods This study utilized a cross-sectional design and included 3542 women aged 20–45 years who were selected from the National Health and Nutrition Examination Survey (NHANES) 2013–2020 database. The association between MHO and the risk of infertility was evaluated using risk factor–adjusted logistic regression models. Results Higher BMI and WC were associated with increased infertility risk after adjusting for potential confounding factors (OR (95% CI): 1.04(1.02, 1.06), P = 0.001; OR (95% CI): 1.02 (1.01, 1.03), P

The aim of this study was to investigate whether skeletal muscle (SM) mass correlates with plasma lipids in metabolic healthy young adults. The study was designed as a retrospective observational monocentric study. Data on plasma lipids and SM mass of subjects attending our institution from 1999 to 2014 were analyzed. Inclusion criteria were being 18–45 years old and in apparently good health. SM mass was evaluated by bioelectrical impedance analysis (BIA) using the equation proposed by Janssen and normalized to height as skeletal muscle index (SMI: SM mass/height2). The association between SMI and plasma lipids levels was examined using a crude and adjusted linear regression model including age, sex, BMI and waist circumference as additional covariates. The study population consisted of 450 subjects (273 females) without metabolic syndrome (12.2% with normal body weight, 33.1% overweight, and 54.7% with obesity). SMI, total-cholesterol, LDL-cholesterol, and Triglycerides were higher, whereas HDL-cholesterol was lower in overweight and obese patients as compared with normal weight subjects. SMI was inversely associated with HDL-cholesterol in female patients with obesity but not in male patients with obesity, in normal- or over-weight subjects (p < 0.05). These results suggest that changes in SM mass occurring in obesity could have a role in worsening lipid profile with special reference to HDL-cholesterol.

Background: Obesity has been confirmed to be associated with infertility. However, the association between metabolically healthy obesity (MHO), a subset of obesity with no metabolic abnormalities, and female infertility has not yet been investigated. This study aimed to examine the association between MHO and the risk of female infertility among United States. Methods: This study utilized a cross-sectional design and included 3542 women aged 20–45 years who were selected from the National Health and Nutrition Examination Survey (NHANES) 2013–2020 database. The association between MHO and the risk of infertility was evaluated using risk factor–adjusted logistic regression models. Results: Higher BMI and WC were associated with increased infertility risk after adjusting for potential confounding factors (OR (95% CI): 1.04(1.02, 1.06), P = 0.001; OR (95% CI): 1.02 (1.01, 1.03), P < 0.001; respectively). After cross-classifying by metabolic health and obesity according to BMI and WC categories, individuals with MHO had a higher risk of infertility than those with MHN (OR (95% CI): 1.75(0.88, 3.50) for BMI criteria; OR (95% CI): 2.01(1.03, 3.95) for WC criteria). A positive linear relationship was observed between BMI/WC and infertility risk among metabolically healthy women (Pnon−linearity=0.306, 0.170; respectively). Conclusions: MHO was associated with an increased risk of infertility among reproductive-aged women in the US. Obesity itself, regardless of metabolic health status, was associated with a higher infertility risk. Our results support implementing lifestyle changes aimed at achieving and maintaining a healthy body weight in all individuals, even those who are metabolically healthy. [ABSTRACT FROM AUTHOR]

Aim: to study the correlation of epicardial adipose tissue (EAT) with metabolic parameters, 24-hours profile of blood pressure (BP) and left ventricular remodeling, with the volume of intraabdominal adipose tissue (IAAT), measured by multislice computed tomography (MSCT) in patients with abdominal obesity and metabolic syndrome. Materials and methods: the study included 80 participants with abdominal obesity (waist circumference > 80 cm in women and >94 cm in men) and without cardiovascular diseases and diabetes. Within this study the following examinations were performed: waist circumference and the body mass index measurement, blood sampling and measurements of lipid levels, uric acid, fasting glucose, insulin, HOMA index, 24-hour ambulatory blood pressure monitoring. Left ventricular (LV) mass index, relative wall thickness, LV mass/height index were estimated from echocardiographic data. EAT volume and IAAT was measured by MSCT. All patients was devided in two groups for analysis: 1 (n=28) - patients with isolated abdominal obesity, without metabolic syndrome, age was 37.5±6.43 years; 2 (n=52) - patients with metabolic syndrome, age - 38.8±5.88 years. The control group 0 included healthy individuals (n=13) without obesity, age was 30.5±5.97 years. Results. A positive correlation was found between the volume of EAT with the level of insulin in the blood (r=0.2937, p

Aim. To study the dynamics of obesity phenotypes and risk of myocardial infarction (MI) during 13-year follow-up period.Material and methods. The study was performed based on the material of the international project HAPIEE (population sample of men and women 45-69 years old, n=9360, basic survey 2003-2005). The analysis included persons with a body mass index (BMI) >30 kg/m2: 3197 people; 857 men (26,8%) and 2340 women (73,2%). To analyze the incidence of MI, a sample of 3008 subjects free from baseline history of MI was selected (752 men and 2256 women). New cases of myocardial infarction have been collected according to the data of the WHO “Register of Acute Myocardial Infarction” program, held at the Research Institute of Therapy and Preventive Medicine; the results of two repeated examinations (2006-2008 and 2015-2017) and repeated postal interview of cohort during 13-year follow-up. The analysis was carried out in individuals with a metabolically phenotype of healthy obesity (MHO). The MHO is defined according to various classifications: NCEPATPIII 2001 — in the presence of 2 and/or less components of the metabolic syndrome; IDF 2005 — waist circumference (WC) >94 cm in men and >80 cm in women and one or no risk factor; Russian Society of Cardiology (RSC) — the index of waist circumference/hip circumference (WC/HC) 0,05. Conclusion. MHO is unstable condition accompanied by transition to the MUH among more than half of men and women during 13 years of observation. In studied population cohort the 13-years risk of incident MI in subjects with MUO was higher compared to MHO: OR=1,9 (95% CI: 1,2; 2,9) by NCEPATP III; OR=3,2 (95% CI: 1,7; 6,1) by RSC criteria.

Purpose of Review: To discuss new findings on the heterogeneity of obesity and associated risks. Recent Findings: Obesity is a public health problem of immense importance on a global scale. However, epidemiological findings and clinical studies have revealed that obesity is a heterogeneous phenotype and that not all obese subjects run the same risk for complications. Current research has tried to describe so-called metabolically healthy obesity (MHO), defined by lack of risk factors included in the metabolic syndrome. These subjects will not escape long-term complications, but mortality risk is not increased. However, a new definition of MHO has recently been proposed, based on the lack of hospitalisation for somatic disease for decades in middle life. MHO subjects defined in this way are characterised by being "fat and fit" and also run a lower risk of long-term complications. Summary: If MHO could be better understood, this could contribute to a more diverse clinical approach to obesity based on personalised medicine. [ABSTRACT FROM AUTHOR]

Metabolic syndrome (MetS) is prevalent not only among the overweight and obese but also normal weight individuals, and the phenotype is referred to as a metabolically unhealthy phenotype (MUHP). Besides normal weight individuals, overweight/obese individuals are also protected from MetS, and the phenotype is known as a metabolically healthy phenotype (MHP). Epidemiological studies indicate that coffee and micronutrients such as plasma folate or vitamin B12 (vit. B12) are inversely associated with MetS. However, correlations among coffee consumption metabolic phenotypes, plasma folate, and vit. B12 remain unknown. Our objective was to investigate the correlation between coffee consumption, metabolic phenotypes, plasma folate, and vit. B12 as well as to understand associations between plasma folate, vit. B12, and metabolic phenotypes. Associations among coffee consumption metabolic phenotypes, plasma folate, and vit. B12 were assessed in a cross-sectional study of 2201 participants, 18 years or older, from 2003–2004 and 2005–2006 National Health and Nutrition Examination Surveys (NHANES). MUHP was classified as having > three metabolic abnormalities. Coffee consumption was not associated with metabolic phenotypes, but negatively correlated with several metabolic variables, including BMI (p < 0.001). Plasma folate was positively associated with MUHP (p < 0.004), while vit. B12 was inversely associated with MUHP (p < 0.035). Our results suggest the potential protective impact of coffee on individual components of MetS and indicate a positive correlation between coffee consumption and MUHP among overweight individuals. Identifying possible dietary factors may provide practical and low-cost dietary intervention targets, specifically for early intervention. Larger and randomized intervention studies and prospective longitudinal studies are required to further evaluate these associations.

Objective: Emerging evidence supports the favorable cardiovascular health in nonobese subjects with healthy metabolism. However, little is known regarding the prognosis across the range of metabolic phenotypes once cardiovascular disease is established. We examined the prognosis of patients with acute myocardial infarction (AMI) stratified according to metabolic health and obesity status., Methods: This is a retrospective study on consecutive patients with AMI admitted to a tertiary hospital between 2014 and 2021. Patients were allocated into the following 4 groups based on metabolic and obesity profile: (1) metabolically healthy obese (MHO), (2) metabolically healthy nonobese (MHNO), (3) metabolically unhealthy obese (MUO), and (4) metabolically unhealthy nonobese (MUNO). Metabolic health was defined in accordance to the Biobank Standardisation and Harmonisation for Research Excellence in the European Union Healthy Obese Project. The primary outcome was all-cause mortality. The Cox regression analysis examined the independent association between mortality and metabolic phenotypes, adjusting for age, sex, AMI type, chronic kidney disease, smoking status, and left ventricular ejection fraction., Results: Of 9958 patients, the majority (68.5%) were MUNO, followed by MUO (25.1%), MHNO (5.6%), and MHO (0.8%). MHO had the lowest mortality (7.4%), followed by MHNO (9.7%), MUO (19.2%), and MUNO (22.6%) (P < .001). Compared with MHNO, MUO (hazard ratio [HR], 1.737; 95% confidence interval [CI], 1.282-2.355; P < .001) and MUNO (HR, 1.482; 95% CI, 1.108-1.981; P = .008) had a significantly higher mortality risk but not MHO (HR, 1.390; 95% CI, 0.594-3.251; P = .447), after adjusting for confounders. The Kaplan-Meier curves showed favorable survival in the metabolically healthy and obesity groups, with the highest overall survival in the MHO, followed by MHNO, MUO, and MUNO (P < .001)., Conclusion: Metabolically healthy and obese patients with AMI have favorable prognosis compared with metabolically unhealthy and nonobese patients. It is equally important to prioritize intensive metabolic risk factor management to weight reduction in the early phase after AMI., (Copyright © 2022 AACE. Published by Elsevier Inc. All rights reserved.)

Metabolic syndrome (MetS) is prevalent not only among the overweight and obese but also normal weight individuals, and the phenotype is referred to as a metabolically unhealthy phenotype (MUHP). Besides normal weight individuals, overweight/obese individuals are also protected from MetS, and the phenotype is known as a metabolically healthy phenotype (MHP). Epidemiological studies indicate that coffee and micronutrients such as plasma folate or vitamin B12 (vit. B12) are inversely associated with MetS. However, correlations among coffee consumption metabolic phenotypes, plasma folate, and vit. B12 remain unknown. Our objective was to investigate the correlation between coffee consumption, metabolic phenotypes, plasma folate, and vit. B12 as well as to understand associations between plasma folate, vit. B12, and metabolic phenotypes. Associations among coffee consumption metabolic phenotypes, plasma folate, and vit. B12 were assessed in a cross-sectional study of 2201 participants, 18 years or older, from 2003–2004 and 2005–2006 National Health and Nutrition Examination Surveys (NHANES). MUHP was classified as having > three metabolic abnormalities. Coffee consumption was not associated with metabolic phenotypes, but negatively correlated with several metabolic variables, including BMI (p < 0.001). Plasma folate was positively associated with MUHP (p < 0.004), while vit. B12 was inversely associated with MUHP (p < 0.035). Our results suggest the potential protective impact of coffee on individual components of MetS and indicate a positive correlation between coffee consumption and MUHP among overweight individuals. Identifying possible dietary factors may provide practical and low-cost dietary intervention targets, specifically for early intervention. Larger and randomized intervention studies and prospective longitudinal studies are required to further evaluate these associations. [ABSTRACT FROM AUTHOR]

Aim: to study the correlation of epicardial adipose tissue (EAT) with metabolic parameters, 24-hours profile of blood pressure (BP) and left ventricular remodeling, with the volume of intraabdominal adipose tissue (IAAT), measured by multislice computed tomography (MSCT) in patients with abdominal obesity and metabolic syndrome., Materials and Methods: the study included 80 participants with abdominal obesity (waist circumference > 80 cm in women and >94 cm in men) and without cardiovascular diseases and diabetes. Within this study the following examinations were performed: waist circumference and the body mass index measurement, blood sampling and measurements of lipid levels, uric acid, fasting glucose, insulin, HOMA index, 24-hour ambulatory blood pressure monitoring. Left ventricular (LV) mass index, relative wall thickness, LV mass/height index were estimated from echocardiographic data. EAT volume and IAAT was measured by MSCT. All patients was devided in two groups for analysis: 1 (n=28) - patients with isolated abdominal obesity, without metabolic syndrome, age was 37.5±6.43 years; 2 (n=52) - patients with metabolic syndrome, age - 38.8±5.88 years. The control group 0 included healthy individuals (n=13) without obesity, age was 30.5±5.97 years., Results: A positive correlation was found between the volume of EAT with the level of insulin in the blood (r=0.2937, p.