Circulating leptin and adiponectin are associated with insulin resistance in healthy postmenopausal women with hot flashes

Obesity and menopause

Obesity is not a choice or a result of lack of willpower, but a multifactorial, chronic, progressive, and relapsing disease. During menopause, hormonal and body composition changes lead to greater visceral adiposity, that aggravates women's health at a cardiometabolic, mechanic and mental level. Adiposity has been identified as an important modifier of reproductive hormones. During female midlife, obesity has been associated with menstrual cycle alterations (anovulatory cycles ending with abnormal bleedings), menopausal symptoms including hot flashes, poor quality of sleep, aches and joint pain, genitourinary symptoms, and reduced quality of life. However, the relationships between weight, the menopausal process, aging, and hormone levels remain poorly understood. Women with obesity have an increased risk of thromboembolic disease when using menopause hormone therapy (MHT), and it is probably the main medical condition to prescribe or not MHT. However, this risk depends on the route and type of MHT. The use of estrogen-only or combined transdermal MHT does not increase the risk of a thrombotic event in women with obesity.

Vasomotor symptoms and their links to cardiovascular disease risk

Hot flashes and night sweats, also known as vasomotor symptoms (VMS), are common and bothersome symptoms of the menopause transition. In addition to negatively impacting quality of life, VMS have been associated with multiple indicators of cardiovascular disease (CVD) risk, including an unfavorable CVD risk factor profile, increased subclinical CVD, and elevated risk of CVD events. Several facets of VMS have been associated with CVD risk, including the frequency, timing, duration, and severity of VMS. VMS may signify poor or degrading cardiovascular health among midlife women and indicate women who warrant focused CVD prevention efforts.

The relationship between hot flashes and fatty acid binding protein 2 in postmenopausal women

INTRODUCTION

Hot flashes, the most bothering symptom of menopause, are linked to a metabolic inflammation. Due to estrogen deficiency in menopause, dysbiosis is observed. The intestinal barrier affects the interaction of microbiota in healthy or unhealthy individuals. This study investigates the relationship between hot flashes and gut permeability in postmenopausal women.

PARTICIPANTS AND DESIGN

In this cross-sectional study, we divided 289 women, aged 40-65 years, into four groups based on their hot-flash severity: HF0: never experienced hot flashes; HFm: mild hot flashes; HFM: moderate hot flashes; HFS: severe hot flashes. The measured variables included the clinical parameters; hot flashes experience; fasting plasma levels of zonulin, fatty acid binding protein 2 (FABP2), endotoxin, and cytokines/chemokines. We used multiple linear regression analysis to evaluate the relationship between hot flashes and the previously mentioned gut barrier proteins.

SETTINGS

The study was performed in a hospital medical center.

RESULTS

The hot flashes had a positive tendency toward increased levels of circulating FABP2 (P-trend = 0.001), endotoxin (P-trend = 0.031), high-sensitivity C-reactive protein (hs-CRP) (P-trend = 0.033), tumor necrosis factor alpha (TNF-α) (P-trend = 0.017), and interferon-inducible protein-10 (IP10) (P-trend = 0.021). Spearman's correlation analysis revealed significant correlations of FABP2 with endotoxin, TNF-α, monocyte chemoattractant protein-1, IP10, and hs-CRP in the 289 postmenopausal women included in this study. Linear regression analysis revealed that hot-flash severity had significant assoiciations with FABP2 (P-trend = 0.002), but not with zonulin. After adjusting for body mass index, age, and menopause duration, multivariate linear regression analysis revealed the differences between HFs (% difference (95% confidence interval), 22.36 (8.04, 38.59), P = 0.01) and HF0 groups in terms of FABP2 levels.

CONCLUSIONS

This study shows that hot flashes are significantly associated with FABP2 levels in postmenopausal women. It suggests that severe hot flashes are linked to an increase in intestinal barrier permeability and low-grade systemic inflammation.

Menopausal vasomotor symptoms and adiponectin among midlife women

OBJECTIVE

Vasomotor symptoms (VMS) are prevalent symptoms that can have a negative impact on quality of life. VMS have also been linked to cardiovascular disease risk, yet the mechanisms underlying these associations have not been elucidated. Some initial works link VMS to adverse adipokine profiles or cytokines produced by adipose tissue. However, results are not entirely consistent and are based entirely on self-report VMS, which is influenced by a range of memory and reporting biases. The aim of this work was to test whether physiologically assessed VMS are associated with lower adiponectin, the most abundant adipokine in the body, controlling for confounding factors. We also consider whether adiponectin explains previously documented relationships between VMS and carotid atherosclerosis.

METHODS

A total of 300 peri- and postmenopausal nonsmoking women aged 40 to 60 years enrolled in the MsHeart study comprised the analytic sample. Women were free of hormone therapy or other medications impacting VMS, insulin-dependent diabetes, and cardiovascular disease. Participants underwent ambulatory physiologic VMS monitoring, physical measures, a carotid ultrasound, and fasting phlebotomy.

RESULTS

More frequent physiologically assessed VMS were associated with lower adiponectin ( B [SE] = -0.081 [0.028], P = 0.004; or 0.081 lower μg/mL in adiponectin for each additional VMS over 24 hours), controlling for age, race/ethnicity, education, insulin resistance, and waist circumference. Associations were not explained by endogenous estradiol. Adiponectin did not explain associations between VMS and carotid atherosclerosis.

CONCLUSIONS

Physiologic VMS were associated with lower adiponectin after considering potential confounders. The role of adipokines in VMS and in links between VMS and health warrants further attention.

Modulation of inflammatory markers by petroleum ether fraction of Trigonella foenum-graecum L. seed extract in ovariectomized rats

This study evaluates the modulation of inflammatory markers by petroleum ether fraction of Trigonella foenum-graecum L. (PE-TFG) seed extract in ovariectomized rats. The HPTLC method was used for standardization and to quantify the diosgenin in PE-TFG. For testing PE-TFG in rats, the total duration of treatment was 12-weeks, and the rats were sacrificed on week 12. The tissue samples such as blood, liver, heart, and aorta were isolated for testing inflammatory markers such as adiponectin, leptin, PPAR-γ, TNF-α, lipid profile, hepatic markers, antioxidants, and oxidative stress markers. The PE-TFG treatment decreased the elevation of total cholesterol, triglyceride, AST, and ALT. Upon PE-TFG treatment, there was a significant increase in adiponectin and PPAR-γ mRNA expression. Leptin and TNF-α were normal after treatment with PE-TFG seed extract. Further, micro-steatosis of hepatocytes marked glomerular hypertrophy in the kidney and increased thickness of tunica intima and media of common carotid artery was reversed after treatment with PE-TFG. PRACTICAL APPLICATIONS: Trigonella foenum-graecum L. is a curative plant used to treat inflammatory conditions like diabetes, obesity, dyslipidemia, arthritis, cancer, and digestive disorders. In our study, PE-TFG supplementation has a protective effect on OVX-induced inflammation, oxidative stress, mRNA expression of adiponectin and PPAR-γ, hepatic steatosis, and decreased thickness of tunica intima and media of common carotid artery.

Relationships between depression and anxiety symptoms and adipocyte-derived proteins in postmenopausal women

INTRODUCTION

Studies on the association between adiponectin and leptin and anxiety and depression among postmenopausal women are limited. Therefore, the present study specifically evaluates the mutual relationships between adiponectin and leptin and anxiety and depression in postmenopausal women.

PARTICIPANTS AND DESIGN

In this cross-sectional study, a total of 190 women aged 40-65 years were enrolled. Depression symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (CES-D), and anxiety symptoms were evaluated using the Hamilton Anxiety Rating Scale (HAM-A). Fasting specimens were collected to measure sex hormone, glucose, insulin, and adipokine levels. Multiple linear regression analysis was performed to evaluate the associations between depression and anxiety and adipocyte-derived hormones.

SETTINGS

The study was performed in a hospital medical center.

RESULTS

Among 190 enrolled postmenopausal women, Spearman's rank correlation analysis revealed significant correlations between CES-D and HAM-A (r = 0.715, P < 0.0001), between CES-D and adiponectin (p = 0.009) and leptin (p = 0.015), and between HAM-A and adiponectin (p = 0.01) and leptin (p = 0.001). The subjects with CES-D ≥ 16 and with HAM-A ≥ 18 had higher adiponectin levels than those with CES-D < 16 and HAM-A < 18, respectively. After adjusting for age, body mass index, exercise, alanine amino transferase and parameters of lipid profiles, Log adiponectin levels were found to be significantly associated with both CES-D and HAM-A, and Log leptin levels were only significantly associated with HAM-A.

CONCLUSIONS

The data show that adiponectin and leptin levels are significantly associated with depression and anxiety symptoms. These results suggest that higher adiponectin and lower leptin levels may serve as potential markers related to anxiety and mood in postmenopausal women. More future research that is designed to deal with the important confounders (e.g., population heterogeneity) is needed to investigate comprehensively on these associations.

Causal Relationship between Adiponectin and Diabetic Retinopathy: A Mendelian Randomization Study in an Asian Population

Adiponectin (APN) is suggested to be a potential biomarker for predicting diabetic retinopathy (DR) risk, but the association between APN and DR has been inconsistent in observational studies. We used a Mendelian randomization (MR) analysis to evaluate if circulating APN levels result in DR. We applied three different genetic risk scores (GRS): GRS_All combined all 47 single nucleotide polymorphisms (SNPs), which from a genome-wide association study (GWAS) database-catalog reach significance level; GRS_Limited comprised 16 GRS_All-SNPs with a rigorous threshold (p < 5.0 × 10^-8 for GWAS), and GRS_APN combined 5 SNPs significantly associated with APN level. The MR-inverse-variance weighted method analysis showed that for each 1-SD increase in genetically induced increase in plasma APN, the OR of having DR was β = 0.20 (95% CI: -0.46-0.85, p = 0.553) for GRS_APN, 0.61 (95% CI: 0.10-1.13, p = 0.020) for GRS_All, and 0.57 (95% CI: -0.06 to 1.20, p = 0.078) for GRS_Limited. Sensitivity analysis, including MR-egger regression and the weighted-median approach, did not provide evidence of the pleiotropic effect of IVs. Limited evidence for the causal role of APN in DR risk among Taiwanese diabetic patients was shown based on MR analysis in the present study.

Relationships between Follicle-Stimulating Hormone and Adiponectin in Postmenopausal Women

Beyond fertility, follicle-stimulating hormone (FSH) may exert action on adipocytes, which are the major source of adiponectin and leptin, linking to insulin resistance. Therefore, we evaluated the relationships between FSH and adipocyte-derived hormones. This cross-sectional study enrolled postmenopausal women aged 40–65 years. The variables measured in this study included clinical parameters, fasting levels of sex hormones, glucose, insulin, and adipokines. A total of 261 women without breast cancer, 88 women with breast cancer receiving tamoxifen, and 59 women with breast cancer receiving additional gonadotropin-releasing hormone analogs were enrolled in this study. Significant differences in the levels of adiponectin, leptin, and FSH were observed between the non-breast cancer group and the breast cancer groups. Spearman’s rank test revealed significant associations of FSH with either body mass index (BMI) or homeostatic model assessment of insulin resistance (HOMA-IR) values in the non-breast cancer group. After adjusting for BMI, age, and menopause duration, FSH levels were significantly associated with adiponectin (p < 0.001) and the leptin-to-adiponectin ratio (p = 0.008) in the non-breast cancer group, but they were only significantly associated with adiponectin (p = 0.001) in the breast cancer group receiving tamoxifen. Our data show that FSH levels are independently associated with adiponectin levels in postmenopausal women, suggesting that adiponectin may link FSH to metabolic relationships in postmenopausal female.

Perimenopause, body fat, metabolism and menopausal symptoms in relation to serum markers of adiposity, inflammation and digestive metabolism

BACKGROUND

Perimenopausal women gain weight that may alter inflammatory status, endocrine equilibrium, and the intensity of vasomotor symptoms.

OBJECTIVE

To measure serum levels of markers related to adiposity, inflammation/angiogenesis and digestive metabolism and correlate them with body mass index (BMI), waist-to-hip ratio (WHR), metabolic parameters and menopausal symptoms (assessed with the 10-item Cervantes Scale [CS-10]).

METHODS

Serum of perimenopausal women (n = 24), STRAW stages-2 and -1, was analyzed using the Bio-Plex 200 System technology to assess 30 proposed analytes. The MetS was defined by the American Heart Association criteria and women were divided as: normal BMI (NBMI), excessive BMI (EBMI), and EBMI with MetS (EBMI-MetS).

RESULTS

Weight, BMI, abdominal circumference, WHR, systolic blood pressure, glucose and triglyceride levels were significantly higher and high-density lipoprotein cholesterol (HDL-C) was lower in EBMI-MetS women compared to NBMI ones. Insulin, C-peptide, resistin, adipsin, GIP, leptin, IL-6, FGF21 and PAI-1 levels were significantly higher and ghrelin and IGFBP-1 lower in EBMI-MetS women as compared to NBMI ones. Spearman's correlation of pooled data showed a significant positive correlation between abdominal perimeter and WHR and C-peptide, insulin, adipsin, resistin, leptin, PAI-1 and FGF21 and a negative correlation with IGFBP-1 levels. Total CS-10 scores and hot flush intensity did not differ between studied groups, yet positively correlated with anthropometric values but not with studied analytes.

CONCLUSION

Perimenopausal women with EBMI and the MetS showed an altered metabolic profile, but no differences in menopausal symptoms which also did not correlate with changes in studied biomarkers.

Symptomatic menopausal transition and risk of subsequent stroke

Objective

To examine the long-term risk of stroke in women who have experienced symptomatic menopausal transition.

Methods

In this nationwide, population-based cohort study conducted from January 1, 2000 to December 31, 2013, we identified 22,058 women with no prior history of stroke, who experienced symptomatic menopausal transition at ≥45 years of age. Moreover, 22,058 women without symptomatic menopause were matched by propensity scores and enrolled as a comparison group. The propensity score was calculated by using all characteristic variables of each subject, including demographics (age and monthly income), comorbidities (hypertension, hyperlipidemia, diabetes mellitus, obesity, chronic kidney disease, coronary artery disease, congestive heart failure, chronic obstructive pulmonary disease, dysrhythmia, peripheral artery occlusive disease), Charlson’s comorbidity index score, clinic visit frequency, and long-term medications (antihypertensives, antidiabetic agents, statins, antiplatelets, aspirin, warfarin, and hormone replacement therapy). The primary endpoint was the development of stroke after the onset of symptomatic menopausal transition. The Fine and Gray’s proportional subhazards model was performed to assess the association between symptomatic menopausal transition and subsequent stroke. All subjects were followed up until December 31, 2013.

Results

During a mean follow-up of 8.5 years (standard deviation 4.7 years, maximum 14 years), 2,274 (10.31%) women with symptomatic menopausal transition, and 1,184 (5.37%) matched comparison participants developed stroke. The incidence rates were 11.17 per 1,000 person-years in the symptomatic menopausal transition group compared with 8.57 per 1,000 person-years in the comparison group. The risk of developing stroke was significantly higher in women with symptomatic menopausal transition (crude subhazard ratio, 1.31; 95% confidence interval (CI) [1.22–1.41]; P < 0.001). After adjusting for demographics, comorbidities, clinic visit frequency, and long-term medications, the risk of stroke remained statistically significant (adjusted subhazard ratio, 1.30; 95% CI [1.21–1.40]; P < 0.001). Moreover, subgroup analyses revealed no evidence for inconsistent effects for symptomatic menopausal transition on subsequent risk of stroke across all subgroups except age, comorbidities, hypertension, and use of antihypertensives. Women with early menopausal transition (before age 50), without comorbid condition, without hypertension, or without use of antihypertensives are at a higher risk of stroke. The longer duration of symptomatic menopausal transition was associated with higher risk of stroke (P for trend < 0.001).

Conclusion

In this large-scale retrospective cohort study, symptomatic menopausal transition was statistically significantly associated with a 30% increased risk of stroke. Further prospective studies are required to confirm our findings.

Effects of resistance exercise on adipokine factors and body composition in pre- and postmenopausal women

The objective of the present study was to examine effects of resistance exercise for 12 weeks on adipokine factors and body composition in postmenopausal (POM) women to provide basic data for preventing obesity or metabolic syndrome caused by menopause. Subjects of this study were 35 premenopausal (PRM) and POM women with body fat percentages of 30% or more. They were divided into PRM (n=15) and POM (n=20) groups. All subjects participated in resistance exercise training for 12 weeks. All serum samples were submitted for enzyme-linked immunosorbent assay measurements of adipokine factors. Body weight, muscle mass, body mass index, and waist-to-hip ration showed significant differences between the two groups after training. In contrast, body fat percentage did not differ between the groups, although it was significantly lower in the PRM group after exercise. Physical fitness was significant differences between the two groups after training, including grip strength (left and right), sit and reach, sit-ups, and standing long jump. In addition, grip strength (left), sit-up, and side step tests were significantly increased after exercise in the PRM group. There were the significant differences in interleukin-6 and leptin levels between the two groups after training. Interleukin-6, interleukin-15, and adiponectin levels were significantly higher in both groups after training compared to those before training, although leptin levels were significantly lower after exercise in the PRM group. Regular resistance exercise was found to be effective in decreasing body fat in PRM women, and decreased leptin and increased adiponectin were positively significant in both groups.

Hormonal, metabolic and inflammatory circulating biomarker profiles in obese and non-obese Brazilian middle-aged women

AIM

To investigate circulating hormonal, metabolic and inflammatory biomarker profiles in obese and non-obese middle-aged women.

METHODS

A total of 110 women, aged 40-60 years, were included in this cross-sectional study. Patients were allocated, according to the occurrence of menopause and body mass index (BMI), into four groups: PM0 (premenopausal non-obese), PM1 (premenopausal obese), M0 (postmenopausal non-obese), and M1 (postmenopausal obese). Serum levels of gonadotropins, sex hormones, lipid markers, leptin, hs-CRP and interleukin-6 were obtained using either colorimetric or immunoenzymatic assays. Univariate and correlation analyses were performed among all clinical and laboratorial parameters. Principal component analysis was used to characterize subsets of biomarkers, which had their discriminatory capacity tested using discriminant function analysis.

RESULTS

Levels of gonadotropins and female sex hormones were similar between PM0 and PM1 and between M0 and M1 (p > 0.05), all of them varied between PM0 and M0 (p < 0.05), but only estradiol was significantly altered in the comparison between PM1 and M1 (p = 0.027). Regarding metabolic markers, leptin was lower in PM0 than in M0 (p = 0.010) and higher in M1 than in M0 (p = 0.046). In premenopausal women, BMI correlated only to leptin, while it correlated to several other markers in postmenopausal women. A combination of FSH and leptin serum levels significantly discriminated the four groups (Wilks's lambda < 0.001, in canonical functions 1 and 2).

CONCLUSION

A combined analysis of hormonal biomarkers may potentially distinguish obese from non-obese women with distinct menopause status. Further research is thus required to clarify the clinical significance of such findings.

Circulating interleukin-8 and tumor necrosis factor-α are associated with hot flashes in healthy postmenopausal women

Introduction

Hot flashes have been postulated to be linked to systemic inflammation. This study aimed to investigate the relationship between hot flashes, pro-inflammatory factors, and leukocytes in healthy, non-obese postmenopausal women.

Participants and design

In this cross-sectional study, a total of 202 women aged 45–60 years were stratified into one of four groups according to their hot-flash status: never experienced hot flashes (Group N), mild hot flashes (Group m), moderate hot flashes (Group M), and severe hot flashes (Group S). Variables measured in this study included clinical parameters, hot flash experience, leukocytes, and fasting plasma levels of nine circulating cytokines/chemokines measured by using multiplex assays. Multiple linear regression analysis was used to evaluate the associations of hot flashes with these pro-inflammatory factors.

Settings

The study was performed in a hospital medical center.

Results

The mean values of leukocyte number were not different between these four groups. The hot flash status had a positive tendency toward increased levels of circulating IL-6 (P-trend = 0.049), IL-8 (P-trend < 0.001), TNF-α (P-trend = 0.008), and MIP1β (P-trend = 0.04). Multivariate linear regression analysis revealed that hot-flash severity was significantly associated with IL-8 (P-trend < 0.001) and TNFα (P-trend = 0.007) among these nine cytokines/chemokines after adjustment for age, menopausal duration, BMI and FSH. Multivariate analysis further revealed that severe hot flashes were strongly associated with a higher IL-8 (% difference, 37.19%; 95% confidence interval, 14.98,63.69; P < 0.001) and TNFα (51.27%; 6.64,114.57; P < 0.05).

Conclusion

The present study provides evidence that hot flashes are associated with circulating IL-8 and TNF-α in healthy postmenopausal women. It suggests that hot flashes might be related to low-grade systemic inflammation.

Expanded Normal Weight Obesity and Insulin Resistance in US Adults of the National Health and Nutrition Examination Survey

This study aims to expand the evaluation of normal weight obesity (NWO) and its association with insulin resistance using an NHANES (1999-2006) sample of US adults. A cross-sectional study including 5983 men and women (50.8%) was conducted. Body fat percentage (BF%) was assessed using dual-energy X-ray absorptiometry. Expanded normal weight obesity (eNWO) categories, pairings of BMI and body fat percentage classifications, were created using standard cut-points for BMI and sex-specific median for BF%. Homeostatic model assessment-insulin resistance (HOMA-IR) levels were used to index insulin resistance. Mean ± SE values were BMI: 27.9 ± 0.2 (women) and 27.8 ± 0.1 (men); body fat percentage: 40.5 ± 0.2 (women) and 27.8 ± 0.2 (men); and HOMA-IR: 2.04 ± 0.05 (women) and 2.47 ± 0.09 (men). HOMA-IR differed systematically and in a dose-response fashion across all levels of the eNWO categories (F = 291.3, P < 0.0001). As BMI levels increased, HOMA-IR increased significantly, and within each BMI category, higher levels of body fat were associated with higher levels of HOMA-IR. Both high BMI and high BF% were strongly related to insulin resistance. Insulin resistance appears to increase incrementally according to BMI levels primarily and body fat levels secondarily. Including a precise measure of body fat with BMI adds little to the utility of BMI in the prediction of insulin resistance.