scholarly journals Relationships between Follicle-Stimulating Hormone and Adiponectin in Postmenopausal Women

Metabolites ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 420
Author(s):  
Wan-Yu Huang ◽  
Dar-Ren Chen ◽  
Chew-Teng Kor ◽  
Ting-Yu Chen ◽  
Po-Te Lin ◽  
...  

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.

Author(s):  
Cristina Benetti-Pinto ◽  
Vanessa Piccolo ◽  
Daniela Yela ◽  
Heraldo Garmes

Objective This study analyzed the effectiveness of the thyroid-stimulating hormone (TSH) as a predictor of insulin resistance (IR) and its association with the clinical and metabolic parameters of women with polycystic ovary syndrome (PCOS) without overt hypothyroidism. Study Design A cross-sectional study was performed. Women with PCOS and without overt hypothyroidism (n = 168) were included. Methods Receiver operating characteristic (ROC) curve was used to determine the cut-off point for TSH that would maximize sensitivity and specificity for a diagnosis of IR using homeostatic model assessment of insulin resistance (HOMA-IR) ≥ 2.71. Clinical and metabolic parameters were compared as a function of the TSH cut-off limit and the presence of IR. Results Thyroid-stimulating hormone ≥ 2.77 mIU/L was associated with a diagnosis of IR, with sensitivity of 47.9% and specificity of 65.3%. There were no differences in clinical, hormonal or metabolic parameters between TSH < 2.77 and TSH of 2.77 – 10 mIU/L. Conclusion In women with PCOS without overt hypothyroidism, TSH ≥ 2.77 mIU/L is associated with IR; however, with poor sensibility, showing TSH to be a poor predictor of IR in this population. No clinical or metabolic alterations were found that would justify a change in clinical management. Thus, the IR should be investigated in all women with PCOS irrespective of TSH level.


2020 ◽  
Vol 9 (5) ◽  
pp. 418-425
Author(s):  
Kristin Ottarsdottir ◽  
Margareta Hellgren ◽  
David Bock ◽  
Anna G Nilsson ◽  
Bledar Daka

Purpose We aimed to investigate the association between SHBG and the homeostatic model assessment of insulin resistance (HOMA-Ir) in men and women in a prospective observational study. Methods The Vara-Skövde cohort is a random population of 2816 participants living in southwestern Sweden, aged 30–74. It was recruited between 2002 and 2005, and followed up in 2012–2014. After excluding participants on insulin therapy or hormone replacement therapy, 1193 individuals (649 men, 544 women) were included in the present study. Fasting blood samples were collected at both visits and stored in biobank. All participants were physically examined by a trained nurse. SHBG was measured with immunoassay technique. Linear regressions were computed to investigate the association between SHBG and HOMA-Ir both in cross-sectional and longitudinal analyses, adjusting for confounding factors. Results The mean follow-up time was 9.7 ± 1.4 years. Concentrations of SHBG were significantly inversely associated with log transformed HOMA-Ir in all groups with estimated standardized slopes (95% CI): men: −0.20 (−0.3;−0.1), premenopausal women: −0.26 (−0.4;−0.2), postmenopausal women: −0.13 (−0.3;−0.0) at visit 1. At visit 2 the results were similar. When comparing the groups, a statistically significant difference was found between men and post-menopausal women (0.12 (0.0;0.2) P value = 0.04). In the fully adjusted model, SHBG at visit 1 was also associated with HOMA-Ir at visit 2, and the estimated slopes were −0.16 (−0.2;−0.1), −0.16 (−0.3;−0.1) and −0.07 (−0.2;0.0) for men, premenopausal and postmenopausal women, respectively. Main conclusion Levels of SHBG predicted the development of insulin resistance in both men and women, regardless of menopausal state.


2007 ◽  
Vol 43 (14) ◽  
pp. 2100-2108 ◽  
Author(s):  
Fredrika Killander ◽  
Harald Anderson ◽  
Stefan Rydén ◽  
Torgil Möller ◽  
Knut Aspegren ◽  
...  

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e14020-e14020
Author(s):  
Lena Saltbæk ◽  
Trine Allerslev Horsbøll ◽  
Birgitte Vrou Offersen ◽  
Michael Andersson ◽  
Anne Sofie Friberg ◽  
...  

e14020 Background: Follow-up programs for breast cancer should according to ASCO and ESMO consist of regular visits including anamnestic screening for symptoms of recurrence and physical examination for ten years in addition to regular mammography. Recently, the Danish guideline for follow-up after early breast cancer was revised. Today most patients are offered open access to an outpatient clinic, but no scheduled visits following the first year after surgery. This strategy has been studied in regards to psychological and health related quality of life outcomes, but not in regards to detection of recurrence and survival. The aim of this study was to quantify the recurrences detected at scheduled outpatient visits in Denmark before the implementation of revised follow-up guidelines. Furthermore, we aimed to assess whether the duration of symptoms prior to recurrence detection differed depending on type of visit when recurrence was detected. Methods: We conducted a cross-sectional study among 310 patients with recurrent breast cancer. Through medical records, we retrieved information on type of visit when recurrence was detected, localization of recurrence, symptoms reported, and duration of symptoms. Tumor characteristics were obtained from the Danish Breast Cancer Group database. Results: Among the 310 breast cancer recurrences, more than half were distant (59%), 26% were loco-regional, and 15% loco-regional and distant. Among the 199 patients still in outpatient follow-up at time of recurrence, recurrence was detected at a scheduled outpatient visit (21%), at a patient-requested extra outpatient visit (15%), by the general practitioner or other specialist (47%), or on a scheduled mammography (11%). Among patients with recurrence detected at a scheduled outpatient visit, the majority (88%) reported symptoms related to the recurrence. Patients who waited for the scheduled outpatient visit despite symptoms had a markedly longer duration of symptoms (median 21 weeks) prior to detection of recurrence than patients who requested an extra visit (median 8 weeks). Conclusions: One-fifth of recurrences among patients attending outpatient follow-up were detected at scheduled outpatient visits. The majority was symptomatic, but the patients had not altered their scheduled appointment. Whether recurrences like these will be detected in follow-up without scheduled visits is unknown. Some recurrences may be detected earlier, if patients can be educated to react on relevant symptoms, but some recurrences may be detected with further delay. Thus, more research in this area is needed.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ban-Hock Khor ◽  
◽  
Sharmela Sahathevan ◽  
Ayesha Sualeheen ◽  
Mohammad Syafiq Md Ali ◽  
...  

AbstractThe metabolic impact of circulating fatty acids (FAs) in patients requiring hemodialysis (HD) is unknown. We investigated the associations between plasma triglyceride (TG) FAs and markers of inflammation, insulin resistance, nutritional status and body composition. Plasma TG-FAs were measured using gas chromatography in 341 patients on HD (age = 55.2 ± 14.0 years and 54.3% males). Cross-sectional associations of TG-FAs with 13 markers were examined using multivariate linear regression adjusted for potential confounders. Higher levels of TG saturated fatty acids were associated with greater body mass index (BMI, r = 0.230), waist circumference (r = 0.203), triceps skinfold (r = 0.197), fat tissue index (r = 0.150), serum insulin (r = 0.280), and homeostatic model assessment of insulin resistance (r = 0.276), but lower malnutrition inflammation score (MIS, r =  − 0.160). Greater TG monounsaturated fatty acid levels were associated with lower lean tissue index (r =  − 0.197) and serum albumin (r =  − 0.188), but higher MIS (r = 0.176). Higher levels of TG n-3 polyunsaturated fatty acids (PUFAs) were associated with lower MIS (r =  − 0.168) and interleukin-6 concentrations (r =  − 0.115). Higher levels of TG n-6 PUFAs were associated with lower BMI (r =  − 0.149) but greater serum albumin (r = 0.112). In conclusion, TG monounsaturated fatty acids were associated with poor nutritional status, while TG n-3 PUFAs were associated with good nutritional status. On the other hand, TG saturated fatty acids and TG n-6 PUFAs had both favorable and unfavorable associations with nutritional parameters.


Author(s):  
Jalaledin Mirzay Razzaz ◽  
Hossein Moameri ◽  
Zahra Akbarzadeh ◽  
Mohammad Ariya ◽  
Seyed ali Hosseini ◽  
...  

Abstract Objectives Insulin resistance is the most common metabolic change associated with obesity. The present study aimed to investigate the relationship between insulin resistance and body composition especially adipose tissue in a randomized Tehrani population. Methods This study used data of 2,160 individuals registered in a cross-sectional study on were randomly selected from among subjects who were referred to nutrition counseling clinic in Tehran, from April 2016 to September 2017. Insulin resistance was calculated by homeostasis model assessment formula. The odds ratio (95% CI) was calculated using logistic regression models. Results The mean age of the men was 39 (±10) and women were 41 (±11) (the age ranged from 20 to 50 years). The risk of increased HOMA-IR was 1.03 (95% CI: 1.01–1.04) for an increase in one percent of Body fat, and 1.03 (95% CI: 1.00–1.05) for an increase in one percent of Trunk fat. Moreover, the odds ratio of FBS for an increase in one unit of Body fat percent and Trunk fat percent increased by 1.05 (adjusted odds ratio [95% CI: 1.03, 1.06]) and 1.05 (95% CI: 1.02, 1.08). Also, the risk of increased Fasting Insulin was 1.05 (95% CI: 1.03–1.07) for an increase in one unit of Body fat percent, and 1.05 (95% CI: 1.02–1.08) for an increase in one unit of Trunk fat percent. Conclusions The findings of the present study showed that there was a significant relationship between HOMA-IR, Fasting blood sugar, Fasting Insulin, and 2 h Insulin with percent of Body fat, percent of Trunk fat.


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