Abstract P246: Sex Differences In The Association Between Soluble Prorenin Receptor And Physiological And Cardiometabolic Risk Factors In Healthy Humans Varying In Age And Obesity

Hypertension ◽  
2020 ◽  
Vol 76 (Suppl_1) ◽  
Author(s):  
Gertrude Arthur ◽  
Gary L Pierce ◽  
Lyndsey E DuBose ◽  
Abbi D Lane-cordova ◽  
Nick Jensen ◽  
...  

The prorenin receptor (PRR), which regulates renin-angiotensin system in multiple tissues, can be cleaved to generate soluble PRR (sPRR) in plasma. sPRR concentrations vary with clinical conditions such as metabolic syndrome, pregnancy, chronic kidney disease and heart failure in humans. However, whether sPRR is associated with aging and healthy obesity in men and women is unknown. We aimed to evaluate if there are sex-specific associations of sPRR with cardiometabolic risk factors among healthy women and men varying in age and obesity. Circulating cardiometabolic, vascular and inflammatory risk factors and sPRR (via ELISA) were measured in unmedicated healthy men (n=55; age 39 ± 16 yrs; BMI 29 ± 4 kg/m2) and women (n=34; age 44 ± 16 yrs; BMI 30 ± 7 kg/m2) at the University of Iowa. Women were classified by menopausal status [pre-menopausal, pre-M (n=18) and post-menopausal, post-M (n=16)]. Independent t -test was used to compare means and pearson correlation was examined. In men, sPRR was not related to age, systolic blood pressure (SBP), BMI, cholesterol or endothelial function (brachial artery flow mediated dilation, FMD), but was correlated with plasma TNFα (r=0.50, P<0.05). sPRR was higher in overweight/obese (BMI ≥ 25 kg/m2) compared with non-obese men (n=48; 10.8 ± 0.4 vs. n=7; 8.3 ± 0.4 ng/ml, P<0.05). In women, sPRR did not correlate with BMI or SBP, but correlated with total cholesterol (r=0.49, P<0.05) and TNFα (r=0.49, P<0.05). sPRR correlated with age in women with a BMI<30 (r=0.54, P<0.05) but not a BMI ≥30 kg/m2. sPRR was significantly higher in post-M compared with Pre-M women independent of obesity or hypertension status (12.1 ± 0.5 vs. 10.1 ± 0.4 ng/ml, P<0.05). sPRR correlated with FMD only in obese women (%FMD: r=-0.50, P<0.05), indicating a relation of sPRR with endothelial dysfunction in obese women. Interestingly, sPRR was significantly higher in Pre-M compared with non-obese men and menopause further exacerbated the difference. In conclusion, sPRR is associated with TNFα in both men and women, but there are sex differences in the relation with BMI, age, cholesterol and endothelial function in humans. sPRR concentrations were higher in post-M compared with pre-M women, suggesting that PRR could contribute to cardiovascular risk in post-M women.


Obesities ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 29-35
Author(s):  
Florent Besnier ◽  
Anil Nigam ◽  
Martin Juneau ◽  
Valérie Guilbeault ◽  
Elise Latour ◽  
...  

Limited data is available on the sex differences and individual responses of cardiometabolic parameters adjusted with potential confounders (i.e. sex, age, baseline values) after a longer term Mediterranean diet (MedD) and high intensity interval training (HIIT) in obese subjects. The objective of this study was to compare the effects of nine-month MedD counseling and supervised HIIT on cardiometabolic risk factors and individual responses in obese women (n = 99) and obese men (n = 35). Body composition (body mass, fat mass, lean body mass, waist circumference), cardiorespiratory fitness (METs), and cardiometabolic risk factors (blood pressure, blood sample variables) were measured at baseline and after nine months of a program combining MedD and HIIT two to three times a week. When adjusted with sex, age, and baseline values, obese women similarly improved their body composition, METs, and cardiometabolic risk factors vs. obese men. The proportion of responders according to clinical cutoff levels were the same in obese women and men. A longer MedD and HIIT intervention similarly improves body composition, cardiometabolic risk factors, and individual responses in obese women and men, even after adjustment of confounders (sex, age, baseline value).



2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yide Yang ◽  
Ming Xie ◽  
Shuqian Yuan ◽  
Yuan Zeng ◽  
Yanhui Dong ◽  
...  

Abstract Background We aimed to assess the associations between adiposity distribution and cardiometabolic risk factors among overweight and obese adults in China, and to demonstrate the sex differences in these associations. Methods A total of 1221 participants (455 males and 766 females) were included in this study. Percentage of body fat (PBF) of the whole body and regional areas, including arm, thigh, trunk, android, and gynoid, were measured by the dual-energy X-ray absorptiometry method. Central adiposity was measured by waist circumference. Clustered cardiometabolic risk was defined as the presence of two or more of the six cardiometabolic risk factors, namely, high triglyceride, low high density lipoprotein, elevated glucose, elevated blood pressure, elevated high sensitivity C-reactive protein, and low adiponectin. Linear regression models and multivariate logistic regression models were used to assess the associations between whole body or regional PBF and cardiometabolic risk factors. Results In females, except arm adiposity, other regional fat (thigh, trunk, android, gynoid) and whole-body PBF are significantly associated with clustered cardiometabolic risk, adjusting for age, smoking, alcohol drinking, physical activity, and whole-body PBF. One-SD increase in Z scores of the thigh and gynoid PBF were significantly associated with 80 and 78% lower odds of clustered cardiometabolic risk (OR: 0.20, 95%CI: 0.12–0.35 and OR: 0.22, 95%CI: 0.12–0.41). Trunk, android and whole-body PBF were significantly associated with higher odds of clustered risk with OR of 1.90 (95%CI:1.02–3.55), 2.91 (95%CI: 1.75–4.85), and 2.01 (95%CI: 1.47–2.76), respectively. While in males, one-SD increase in the thigh and gynoid PBF are associated with 94% (OR: 0.06, 95%CI: 0.02–0.23) and 83% lower odds (OR: 0.17, 95%CI: 0.05–0.57) of clustered cardiometabolic risk, respectively. Android and whole-body PBF were associated with higher odds of clustered cardiometabolic risk (OR: 3.39, 95%CI: 1.42–8.09 and OR: 2.45, 95%CI: 1.53–3.92), but the association for trunk PBF was not statistically significant (OR: 1.16, 95%CI: 0.42–3.19). Conclusions Adiposity distribution plays an important role in the clustered cardiometabolic risk in participants with overweight and obese and sex differences were observed in these associations. In general, central obesity (measured by android PBF) could be the best anthropometric measurement for screening people at risk for CVD risk factors for both men and women. Upper body fat tends to be more detrimental to cardiometabolic health in women than in men, whereas lower body fat is relatively more protective in men than in women.



Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Cristina P Baena ◽  
Paulo A Lotufo ◽  
Maria J Fonseca ◽  
Isabela J Benseñor

Background: Neck circumference is a proxy for upper body fat and it is a simple anthropometric measure. Therefore it could be a useful tool to identify individuals with cardiometabolic risk factors in the context of primary care. Hypothesis: Neck circumference is independently associated to cardiometabolic risk factors in an apparently healthy population. Methods: This is a cross-sectional analysis of baseline data of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), a cohort of 15105 civil servants aged 35-74 years. We excluded from this analysis those who fulfilled American Diabetes Association criteria for diabetes diagnosis, were taking antihypertensive and/or lipid-lowering drugs. A sex-specific analysis was conducted. Partial correlation (age-adjusted) was used. Risk factors were set as low HDL<50mg/dL for women and <40mg/dL for men, hypertriglyceridemia ≥ 150 mg/dl , hypertension as systolic blood pressure ≥130 mg/dl or diastolic blood pressure ≥85 mm Hg and insulin resistance(HOMA-IR ≥ 75th percentile). Logistic regression models were built to analyze the association between individual and clustered risk factors as dependent variables and 1-SD increase in neck circumference as independent variable. Multiple adjustments were subsequently performed for age, smoking, alcohol, body-mass index, waist and physical activity. Receiver Operating Curves were employed to find the best NC cut-off points for clustered risk factors. Results: We analyzed 3810 men (mean age= 49.0 ±8.3 yrs) and 4916 women (49.2 ±8.0 yrs). Mean NC was 38.9 (±2.6)cm for men and 33.4(±2.6)cm for women. NC positively correlated with systolic and diastolic blood pressure (r=0.21 and r=0.27), HOMA - IR (r=0.44), triglycerides (r=0.31) and negatively correlated with HDL (r= -0.21) in men (p<0.001 for all) with similar results in women. Fully adjusted Odds Ratio (OR) (95% CI) of risk factor per SD increase in neck circumference in men and women were 1.29(1.14;1.46) and 1.42(1.28;1.57) for insulin resistance; 1.24(1.11;1.39) and 1.25(1.11;1.40) for hypertension; 1.33(1.19;1.49) and 1.42(1.29;1.63) for hypertriglyceridemia; 1.07(0.92;1.23) and 1.32 (1.19;1.43) for low HDL. Fully adjusted OR (95% CI) of 2 clustered risk factor per SD increase in neck circumference in men and women were 1.29(1.14;1.48) and 1.37(1.21;1.54 ). Fully adjusted OR (95% CI) of 3 or more clustered risk factors per SD increase in neck circumference in men and women were 1.33 (1.02;1.74) and 1.62 (1.33;1.92). Values of neck circumference of >40 cm for men and >34.1 cm for women were the best cut-off points for 3 or more clustered risk factors. Conclusion: Neck circumference is significantly and independently associated to cardiometabolic risk factors in a well-defined non-treated population. It should be considered as a marker of cardio metabolic risk factors in primary care settings.



2021 ◽  
Vol 35 (S1) ◽  
Author(s):  
Frédérique Yiannikouris ◽  
Gertrude Arthur ◽  
Lyndsey DuBose DuBose ◽  
Abbi Lane‐Cordova Lane‐cordova ◽  
Nick Jensen ◽  
...  


2009 ◽  
Vol 13 (4) ◽  
pp. 488-495 ◽  
Author(s):  
Ahmet Selçuk Can ◽  
Emine Akal Yıldız ◽  
Gülhan Samur ◽  
Neslişah Rakıcıoğlu ◽  
Gülden Pekcan ◽  
...  

AbstractObjectiveTo identify the optimal waist:height ratio (WHtR) cut-off point that discriminates cardiometabolic risk factors in Turkish adults.DesignCross-sectional study. Hypertension, dyslipidaemia, diabetes, metabolic syndrome score ≥2 (presence of two or more metabolic syndrome components except for waist circumference) and at least one risk factor (diabetes, hypertension or dyslipidaemia) were categorical outcome variables. Receiver-operating characteristic (ROC) curves were prepared by plotting 1 − specificity on the x-axis and sensitivity on the y-axis. The WHtR value that had the highest Youden index was selected as the optimal cut-off point for each cardiometabolic risk factor (Youden index = sensitivity + specificity − 1).SettingTurkey, 2003.SubjectsAdults (1121 women and 571 men) aged 18 years and over were examined.ResultsAnalysis of ROC coordinate tables showed that the optimal cut-off value ranged between 0·55 and 0·60 and was almost equal between men and women. The sensitivities of the identified cut-offs were between 0·63 and 0·81, the specificities were between 0·42 and 0·71 and the accuracies were between 0·65 and 0·73, for men and women. The cut-off point of 0·59 was the most frequently identified value for discrimination of the studied cardiometabolic risk factors. Subjects classified as having WHtR ≥ 0·59 had significantly higher age and sociodemographic multivariable-adjusted odds ratios for cardiometabolic risk factors than subjects with WHtR < 0·59, except for diabetes in men.ConclusionsWe show that the optimal WHtR cut-off point to discriminate cardiometabolic risk factors is 0·59 in Turkish adults.



2011 ◽  
Vol 27 (5) ◽  
pp. S301
Author(s):  
E. Larose ◽  
E. De Larochellière ◽  
J. Côté ◽  
M. Ross ◽  
V. Dion-Roy ◽  
...  




Nutrients ◽  
2018 ◽  
Vol 10 (1) ◽  
pp. 87 ◽  
Author(s):  
Sergej Ostojic ◽  
Milan Vranes ◽  
Davor Loncar ◽  
Natasa Zenic ◽  
Damir Sekulic


2016 ◽  
Vol 176 ◽  
pp. 121-127.e1 ◽  
Author(s):  
Carmen R. Isasi ◽  
Christina M. Parrinello ◽  
Guadalupe X. Ayala ◽  
Alan M. Delamater ◽  
Krista M. Perreira ◽  
...  


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