Gender and age related features of metabolically healthy obesity phenotype prevalence

Мустафина, С. В.; Винтер, Д. А.; Щербакова, Л. В.; Малютина, С. К.; Ragino, Yu. I.; Рымар, О. Д.

doi:10.20538/1682-0363-2020-1-76-84

Cited by 4 publications

(1 citation statement)

References 16 publications

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“…The discussion about the causes of the obesity paradox or even its existence continue, but part of the problem may lie on the inadequate use of body mass index to “measure” obesity [ 232 ], and the question of whether obesity is by itself a disease (or simply a part of a more severe disorder such as MS). The repeated references to “healthy obesity” (i.e., large body fat stores without the associated metabolic disorders of “proper” obesity) [ 233 ], have been relatively circumscribed by introducing factors such as age and gender [ 234 ]. Our group has postulated that a certain degree of obesity may help limit the ravages of type 2 diabetes by removing excess glucose and releasing 3C, being more a (palliative) consequence than a cause for this disease [ 49 , 96 ].…”

Section: Normalization and Regulation Under Excess (If Any)mentioning

confidence: 99%

Dietary Energy Partition: The Central Role of Glucose

Remesar

Alemany

2020

IJMS

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Humans have developed effective survival mechanisms under conditions of nutrient (and energy) scarcity. Nevertheless, today, most humans face a quite different situation: excess of nutrients, especially those high in amino-nitrogen and energy (largely fat). The lack of mechanisms to prevent energy overload and the effective persistence of the mechanisms hoarding key nutrients such as amino acids has resulted in deep disorders of substrate handling. There is too often a massive untreatable accumulation of body fat in the presence of severe metabolic disorders of energy utilization and disposal, which become chronic and go much beyond the most obvious problems: diabetes, circulatory, renal and nervous disorders included loosely within the metabolic syndrome. We lack basic knowledge on diet nutrient dynamics at the tissue-cell metabolism level, and this adds to widely used medical procedures lacking sufficient scientific support, with limited or nil success. In the present longitudinal analysis of the fate of dietary nutrients, we have focused on glucose as an example of a largely unknown entity. Even most studies on hyper-energetic diets or their later consequences tend to ignore the critical role of carbohydrate (and nitrogen disposal) as (probably) the two main factors affecting the substrate partition and metabolism.

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Section: Normalization and Regulation Under Excess (If Any)mentioning

confidence: 99%

Dietary Energy Partition: The Central Role of Glucose

Remesar

Alemany

2020

IJMS

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Prevalence of metabolic phenotypes among citizens of Arctic area of the Russian Federation (in Arkhangelsk city setting)

et al. 2023

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BACKGROUND: Influence of obesity on the body at whole and with regard to metabolic changes is still unclear. In Russia there are a few data about prevalence of metabolic phenotypes among population based on epidemiological data.AIM: to assess the prevalence of metabolic phenotypes among citizens of Arctic area of the Russian Federation (in the Arkhangelsk city setting).MATERIALS AND METHODS: a cross-sectional study was conducted using a random sample of Arkhangelsk citizens (n=2380) 35–69 years old, which was obtained within a population study of cardiovascular diseases («Know your heart» (KYH)). The participants were divided into metabolic phenotypes according to the presence of obesity (BMI≥30 kg/m2) and metabolic syndrome (AHA/NHBLI): phenotype 1 — metabolically healthy normal weight, phenotype 2 — metabolically unhealthy normal weight, phenotype 3 — metabolically healthy obesity, phenotype 4 — metabolically unhealthy obesity.RESULTS: 2352 participants of KYH were included in the study, 982 (41,8%) men and 1370 (58,3%) women. Mean age was 53,9 (SD 9,7) years. The distribution of participants by metabolic phenotypes was as follows: 1167 (49,6%) persons had phenotype 1, 489 (20,8%) — phenotype 2, 248 (10,5%) — phenotype 3, 448 (19,1%) — phenotype 4. In men, the second common after the first phenotype was phenotype 2, while in women, the second position was shared by the 2nd and 4th phenotypes, which had approximately the same frequency. «Arterial hypertension» was the most prevalent component of metabolic syndrome and seen in 68–96% men and 38–94% women in the study with different phenotypes. The proportions of phenotypes with metabolic disorders increased with age.CONCLUSION: in a study of a random population sample within the framework of the concept of metabolic phenotypes, a half of the participants had no obesity and metabolic syndrome. Proportions of participants with metabolic disorders with and without obesity was 20% each. Only 10% of participants had «metabolically healthy» obesity. If excluding individuals without obesity and metabolic syndrome, the phenotype characterized by metabolic disorders in the absence of obesity was the most common among men. Phenotypes with metabolic disorders on the background of obesity or without obesity were equally common among women. The most common component of metabolic syndrome was «arterial hypertension». There was a tendency of accumulation of metabolic disturbances with age.

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The frequency of metabolically healthy and unhealthy phenotypes in women aged 25–44 years with different levels of thyroid-stimulating hormone, prolactin, leptin

Alferova

Мустафина

Rymar

et al. 2023

Sibirskij nauchnyj medicinskij zhurnal

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Reports that the risk of developing cardiovascular diseases in obesity is not the same, led to the allocation of metabolically healthy and unhealthy phenotypes (MHP and MUHP), this concept is based on the ability of adipose tissue to produce a number of adipokines, one of which is leptin. Hormones such as thyroid-stimulating hormone (TSH) and prolactin (PRL) are interesting from the point of view of their effect on metabolism. Aim of the study was to investigate the prevalence of MHP and MUHP in young women with different body mass index (BMI) and hormonal status (TSH, PRL, leptin) in different phenotypes. Material and methods. A group of women (n = 655) was selected from a representative sample of the Novosibirsk population aged 25–44 to study clinical and laboratory parameters. The design is a cross – sectional, observational, single – centre study. IDF, 2005 and NCEP ATP III, 2001 criteria were used to evaluate the MHP and MUHP. Results and discussion. The prevalence of MUHP in young women in Novosibirsk was 22.3 %, MHP – 77.7 % according to IDF, 2005; according to NCEP ATP III, 2001 – 13.1 and 86.9 %, respectively. The prevalence of MUHP increased with increasing BMI from 4.0 to 72.0 % according to IDF, 2005 and from 2.3 to 58.0 % according to NCEP ATP III, 2001, respectively. In obese women, MUHP was detected twice as often as MHP – 72 and 28 % according to IDF, 2005, 58 and 42 % according to NCEP ATP III, 2001. TSH and PRL do not provide information about metabolic health in young women. Leptin content is associated with BMI. The threshold value of the leptin level was 18.3 ng/ml with maximum sensitivity and specificity (Se = 53.3 %, Sp = 81.5 %), 14.5 ng/ml with equal sensitivity and specificity (Se = 65.7 %, Sp = 65.7 %). The area under ROC curve (AUC) for diagnosis of MUHP was 0.727 (SE = 0.029, p < 0.0001). Conclusion. The frequency of MHP in young women decreases with increasing BMI. MUHP is 3.5 times less common than MHP according to IDF criteria, 2005. TSH and PRL are not associated with the metabolic phenotype in young women. A leptin level more than 18.3 ng/ml has been identified as one of the markers for the recognition of MUHP in women aged 25–44 years, regardless of BMI.

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Gender and age related features of metabolically healthy obesity phenotype prevalence

Cited by 4 publications

References 16 publications

Dietary Energy Partition: The Central Role of Glucose

Dietary Energy Partition: The Central Role of Glucose

Prevalence of metabolic phenotypes among citizens of Arctic area of the Russian Federation (in Arkhangelsk city setting)

The frequency of metabolically healthy and unhealthy phenotypes in women aged 25–44 years with different levels of thyroid-stimulating hormone, prolactin, leptin

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