The role of estrogens in the adipose tissue milieu

Bracht, John R.; Vieira‐Potter, Victoria J.; Santos, Roberta de Souza; Öz, Orhan K.; Palmer, Biff F.; Clegg, Deborah J.

doi:10.1111/nyas.14281

Cited by 47 publications

(35 citation statements)

References 161 publications

(316 reference statements)

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“…Increasing evidence suggests that estrogens influence body fat distribution. 131 However, the only anthropometric characteristic evaluated in adulthood in relation to adenomyosis is body mass index (BMI). BMI can serve as a proxy for body adiposity, but it does not indicate the distribution of fat in the body.…”

Section: Anthropometric Characteristicsmentioning

confidence: 99%

“…BMI can serve as a proxy for body adiposity, but it does not indicate the distribution of fat in the body. 131 The results across studies conducted among hysterectomy patients have been mixed, with studies reporting a positive, 100 inverse, 87 and no association. 42 Since BMI is associated with the risk of hysterectomy and weight gain during adulthood has been linked with uterine fibroid risk, [132][133][134] its relationship with adenomyosis may be additionally challenging to study using the sampling frame of hysterectomy patients.…”

Section: Anthropometric Characteristicsmentioning

confidence: 99%

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Epidemiology of Adenomyosis

Upson

Missmer

2020

Semin Reprod Med

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Adenomyosis, characterized by the presence of endometrial glands and stroma within the myometrium, can have a substantial impact on the quality of women's lives. Despite this, the epidemiologic research on this condition lags considerably behind that of other noncancerous reproductive health conditions. The lack of progress and knowledge is due in part to the challenges in designing valid epidemiologic studies, since the diagnosis of adenomyosis historically has been limited to the examination of uterine specimens from hysterectomy. This review describes the available data on the frequency of this condition and the epidemiologic investigation thus far into the risk factors for disease—highlighting the methodologic and inference challenges primarily around study sample selection. We conclude with providing recommendations for approaches to future epidemiologic study that capitalize on the advancements in imaging technology to detect adenomyosis and provide a fuller picture of the occurrence and risk factors for disease.

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Section: Anthropometric Characteristicsmentioning

confidence: 99%

Section: Anthropometric Characteristicsmentioning

confidence: 99%

Epidemiology of Adenomyosis

Upson

Missmer

2020

Semin Reprod Med

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“…Changes in gonadal hormone levels with age may contribute to the observed differences in olfactory dysfunction and cardiovascular risk factors with gender, especially in women [43][44][45][46] . Estrogen change is known to be linked to fat distribution after menopause, as well as to the prevalence of abdominal obesity which increases with age 47 .…”

Section: Rapgef2-fstl5 Tcf4-loc100505474 Pcdh10 Kiaa1751 Myo5b Mmentioning

confidence: 99%

The association between olfactory dysfunction and cardiovascular disease and its risk factors in middle-aged and older adults

Roh

Lee

Kim

et al. 2021

Sci Rep

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While previous studies have reported olfactory dysfunction (OD) in relation to cardiovascular disease (CVD), few population-based studies have investigated whether such associations differ by sex. The purpose of this study was to identify the association between CVD and its risk factors with OD, and the sex-associated differences within the general population. We examined 20,016 adults aged 40 and older from the Korean National Health and Nutrition Examination Survey. All subjects reported on their history of OD. CVD and its risk factors included coronary artery disease (CAD), stroke, hypertension, diabetes, obesity, abdominal obesity, and hypertriglyceridemia; logistic regression was used to analyse their associations with OD, and additive interaction was used to analyse the interaction between risk factors and sex. In males, CAD was more likely to be associated with OD (odds ratio [OR] 1.81, 95% confidence interval [CI] 1.05–3.14), whereas abdominal obesity was associated with OD in females (OR 1.39, 95% CI 1.06–1.84).Additive interaction were observed between abdominal obesity and female sex with a relative excess risk of interaction of 0.45 (95% CI 0.26–0.63). Our findings suggest the relationship between OD and CVD and its risk factors and sex-associated differences among middle-aged and older adults.

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“…Recently, Laxy et al, on pooled data from 41459 patients, demonstrated importance of gender to define BMI cut-off in order to characterize the adipose tissue structure and to predict an "healthy" lifestyle [27]. This can be due to the role of sex hormones to determine body fat distribution, which has an important pathogenic role in MS [28]. Visceral adipocytes can be considered as endocrine cells that produce cytokines, adipokines etc.…”

Section: Plos Onementioning

confidence: 99%

Gender, BMI and fasting hyperglycaemia influence Monocyte to-HDL ratio (MHR) index in metabolic subjects

et al. 2020

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Metabolic Syndrome (MS) is characterized by a low-grade inflammatory state causing an alteration of non-invasive indexes derived from blood count, namely monocyte-to-HDL ratio (MHR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR). We analyse a population of 771 subjects (394 controls and 377 MS patients) to evaluate the best predictive index of MS. The diagnosis of MS was made according to the 2006 criteria of the International Diabetes Federation (IDF). We performed ROC curve analyses to evaluate the best predictor index of MS. MHR cutoff value was used to classify the population in two different groups and to create the outcome variable of the Recursive Partitioning and Amalgamation (RECPAM) analysis. This method is a tree-structured approach that defines "risk profiles" for each group of dichotomous variables. We showed that MHR index is significantly linked to body mass index (BMI), waist circumference, creatinine, C-reactive protein (CRP), Erythrocyte Sedimentation Rate (ESR). ROC curve defined an MHR cutoff value of 6.4, which was able to identify two patient groups with significant differences in waist circumference, blood pressure, creatinine, estimated glomerular filtration rate and fasting plasma glucose. RECPAM analysis demonstrated that gender, BMI categorization and hyperglycaemia were the most important risk determinants of increased MHR index that can be considered bona fide a useful and easily obtainable tool to suggest the presence of peculiar metabolic features that predict MS.

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The role of estrogens in the adipose tissue milieu

Cited by 47 publications

References 161 publications

Epidemiology of Adenomyosis

Epidemiology of Adenomyosis

The association between olfactory dysfunction and cardiovascular disease and its risk factors in middle-aged and older adults

Gender, BMI and fasting hyperglycaemia influence Monocyte to-HDL ratio (MHR) index in metabolic subjects

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