scholarly journals Effect of GLP-1 Receptor Agonists in the Cardiometabolic Complications in a Rat Model of Postmenopausal PCOS

Endocrinology ◽  
2019 ◽  
Vol 160 (12) ◽  
pp. 2787-2799 ◽  
Author(s):  
Edgar D Torres Fernandez ◽  
Alexandra M Huffman ◽  
Maryam Syed ◽  
Damian G Romero ◽  
Licy L Yanes Cardozo
Keyword(s):  
Risk Factors ◽  
Heart Rate ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Reproductive Age ◽  
Metabolic Effects ◽  
Control Group ◽  
Model Assessment ◽  
Intrarenal Ras ◽  
Cardiometabolic Profile

Abstract Polycystic ovary syndrome (PCOS) is characterized by hyperandrogenism and ovulatory dysfunction. Women with PCOS have an elevated prevalence of cardiometabolic risk factors that worsen after menopause. Liraglutide (Lira), a glucagon-like peptide-1 receptor agonist, has shown beneficial metabolic effects in small clinic trials in reproductive-age women with PCOS. We have shown that chronic hyperandrogenemia in an experimental model of postmenopausal PCOS is associated with an adverse cardiometabolic profile and upregulation of the intrarenal renin-angiotensin system (RAS). We analyzed the effect of Lira in the cardiometabolic profile, intrarenal RAS, and blood pressure (BP) in postmenopausal PCOS. Four-week-old female Sprague Dawley rats were treated with DHT or placebo for 17 months. Lira administration during the last 3 weeks caused a bigger reduction in food intake, body weight, fat mass, and homeostasis model assessment of insulin resistance index in PCOS than in control rats. Moreover, Lira improved dyslipidemia and elevated leptin levels in PCOS. In contrast, Lira decreased intrarenal expression of RAS components only in the control group. Lira transiently increased heart rate and decreased BP in control rats. However, Lira did not modify BP but increased heart rate in PCOS. The angiotensin-converting-enzyme inhibitor enalapril abolished the BP differences between PCOS and control rats. However, Lira coadministration with enalapril further reduced BP only in control rats. In summary, Lira has beneficial effects for several cardiometabolic risk factors in postmenopausal PCOS. However, hyperandrogenemia blunted the BP-lowering effect of Lira in postmenopausal PCOS. Androgen-induced activation of intrarenal RAS may play a major role mediating increases in BP in postmenopausal PCOS.

Association between dietary inflammatory index and cardiometabolic risk factors among Brazilian adolescents: results from a national cross-sectional study

2021 ◽  
pp. 1-24
Author(s):  
Pâmela Ferreira Todendi ◽  
Rafaela Salla ◽  
Nitin Shivappa ◽  
James R. Hebert ◽  
Julianna Ritter ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiometabolic Risk ◽  
Positive Association ◽  
Dietary Factors ◽  
Cardiometabolic Risk Factors ◽  
Model Assessment ◽  
Dietary Inflammatory Index ◽  
Cardiovascular Risks ◽  
Cross Sectional ◽  
Inflammatory Index

Abstract Dietary factors play a role in modulating chronic inflammation and in the development of cardiovascular disease. We aimed to investigate the association between the dietary inflammatory index (DII) and cardiometabolic risk factors among adolescents.A total of 31,684 Brazilian adolescents (12–17 years), from the Study of Cardiovascular Risks in Adolescents (ERICA) were included. Dietary intake was assessed using a 24-hour dietary recall. The E-DII (energy-adjusted)score was calculated based on data for 25available nutrients. The anthropometric profile, blood pressure, lipid profile, glucose, Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), and glycated hemoglobin were measured. Poisson regression models were used to examine the associations between sex-specific quartiles of the E-DII and cardiometabolic risk factors. In the energy-adjusted models, when comparing a high pro-inflammatory diet (quartile 4) withananti-inflammatory diet (quartile 1), there was a positive association with high HOMA-IR among boys(prevalence ratios (PR)Q4=1.37, 95%CI: 1.04–1.79); and with high fasting glucose (PRQ4 = 1.96, 95%CI: 1.02–3.78), high triglycerides (PRQ4 = 1.92, 95%CI: 1.06–3.46),low HDL-c (PRQ4 = 1.16, 95%CI: 1.02–1.32) and high LDL-c (PRQ4 = 1.93, 95%CI: 1.12–3.33) among girls. Additionally, a moderately pro-inflammatory diet was positively associated with high HOMA-IR (PRQ2 = 1.14, 95%CI: 1.02–1.29) among girls, and high total cholesterol (PRQ3 = 1.56, 95%CI: 1.20–2.01) among boys.In conclusion, this study provides new evidence on the association between inflammatory diets with cardiometabolic risk factors among adolescents.

scholarly journals Different Associations of Trunk and Lower-Body Fat Mass Distribution with Cardiometabolic Risk Factors between Healthy Middle-Aged Men and Women

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Bin Wu ◽  
Jingshan Huang ◽  
Keisuke Fukuo ◽  
Kazuhisa Suzuki ◽  
Gen Yoshino ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gender Differences ◽  
Fat Mass ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Oxidative Stress Marker ◽  
Sensitivity Index ◽  
Lower Body ◽  
Middle Aged ◽  
Cardiometabolic Profile

The aim of this study was to assess whether the gender-specific pattern of fat mass (FM) distribution is related to gender differences in cardiometabolic risk factors. 207 healthy middle-aged Japanese were included in the study. We measured FM in the total body, trunk, and lower-body with dual-energy X-ray absorptiometry (DXA). The percentage of trunk FM (TFM) and lower-body FM (LFM) is noted as %TFM and %LFM, respectively. Other measurements included glucose and insulin during oral glucose tolerance test (OGTT), leptin, adiponectin, plasminogen activator inhibitor-1 (PAI-1), tumor necrosis factor-α(TNF-α), C-reactive protein (CRP), and systemic oxidative stress marker. Arterial properties were indicated by cardio-ankle vascular index (CAVI) and intima-media thickness (IMT) of the common carotid artery. The results showed that %TFM is higher whereas %LFM is lower in men than in women and men have a more atherogenic cardiometabolic profile. In both genders, %TFM (%LFM) is related to an unfavorable (favorable) cardiometabolic profile. In particular, the relation between %LFM and OGTT-derived insulin sensitivity index is stronger in women than in men. These findings suggested that in relatively healthy adults, android and gynoid pattern of FM distribution contributes to gender differences in cardiometabolic risk factors.

scholarly journals High Intensity Resistance Training Methods with and without Protein Supplementation to Fight Cardiometabolic Risk in Middle-Aged Males: A Randomized Controlled Trial

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Wolfgang Kemmler ◽  
Andreas Wittke ◽  
Michael Bebenek ◽  
Michael Fröhlich ◽  
Simon von Stengel
Keyword(s):  
Risk Factors ◽  
Resistance Training ◽  
High Intensity ◽  
Cardiometabolic Risk ◽  
High Volume ◽  
Protein Supplementation ◽  
Cardiometabolic Risk Factors ◽  
Control Group ◽  
High Intensity Training ◽  
Intensity Training

Time-effective protocols may potentially increase people’s compliance with exercise. The purpose of this paper was to compare the relative effects of 16 weeks of high intensity (resistance) training (HIT) with and without protein supplementation (HIT&P) and HVHIT (high volume/high intensity training) versus a nontraining control group on cardiometabolic risk factors. One hundred and twenty untrained males 30–50 years old were randomly assigned to 3 subgroups: (a) a HIT group; (b) a HIT&P group, and (c) a waiting-control group (phase I) that crossed over to (d) high volume/high intensity training (HVHIT) during the second study phase. HIT was defined as “single set to failure protocol” while HVHIT consistently applied two sets. Protein supplementation provided an overall intake of 1.5 g/kg/body mass. Primary study endpoint was the metabolic syndromeZ-Score (MetS-Z-Score). MetS-Z-Score significantly improved in all exercise groups (p≤0.001) with no significant difference between HIT, HIT&P, and HVHIT (p≥0.829). However, all the exercise groups differed significantly from the CG (p<0.001) which deteriorated significantly (p=0.039). In conclusion, all exercise protocols were similarly effective in improving cardiometabolic risk factors. Thus, HIT may be the best choice for people with low time budgets looking to improve their cardiometabolic health.

scholarly journals Association between Ag-RP, alpha-MSH and cardiovascular risk factors regarding adherence to Diet Quality Index- International (DQI-I) among obese individuals

2021 ◽  
Author(s):  
Mahsa Mahmoudinezhad ◽  
Mahdieh Abbasalizad Farhangi
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Diet Quality ◽  
Quality Index ◽  
Cardiometabolic Risk ◽  
Resistance Index ◽  
Cardiometabolic Risk Factors ◽  
Model Assessment ◽  
Diet Quality Index ◽  
Adherence To Diet

Introduction: Obesity is a strong promoter of cardiometabolic risk factors and is associated with several chronic comorbidities. Recently, the role of α-melanocyte stimulating hormone (α-MSH) and agouti related peptide (Ag-RP) in regulation of energy balance has attracted much attention. In current study, we evaluated the association between α-MSH and Ag-RP with cardiometabolic factors among obese individuals with different adherence to Diet Quality Index-International (DQI-I) values. Methods: In this research, 188 obese adults aged between 20 and 50 years old and body mass index (BMI) between 30 and 40 kg/m2 were recruited. Dietary intakes of participants and DQI-I calculation was performed using a semi-quantitative food frequency questionnaire (FFQ) with 132 food items. Serum glucose, lipids, insulin, and plasma α-MSH and Ag-RP levels were measured using ELISA kits. Homeostasis model assessment for insulin resistance index (HOMA-IR) and quantitative insulin sensitivity check index (QUICKI) were also calculated. Results: Among those with the lowest adherence to DQI-I, Ag-RP was positively associated with systolic blood pressure (SBP) (P = 0.03) among males, which was associated with waist circumference (WC) (P = 0.01) and diastolic blood pressure (DBP) (P = 0.01). Moreover, among males with low and moderate adherence to DQI-I, α-MSH was positively associated with insulin (P = 0.04), weight (P = 0.03), WC (P < 0.01), SDP (P = 0.02) and DBP (P = 0.01). Also, Ag-RP showed a positive association with BMI values (R2 = 0.03; P = 0.03). Conclusion: According to our findings, in obese subjects with poor to moderate adherence to DQI-I, Ag-RP and α-MSH were in positive correlation with cardiometabolic risk factors. These findings further clarify the clinical importance of these parameters as prognostic factors of cardiometabolic abnormalities.

scholarly journals Carotid Arterial Stiffness and Cardiometabolic Profiles in Women with Fibromyalgia

Biomedicines ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1786
Author(s):  
Yunkyung Kim ◽  
Geun-Tae Kim ◽  
Jihun Kang
Keyword(s):  
Risk Factors ◽  
Arterial Stiffness ◽  
Central Obesity ◽  
Cardiometabolic Risk ◽  
Statistical Significance ◽  
Cardiometabolic Risk Factors ◽  
Control Group ◽  
Increased Risk ◽  
Carotid Arterial ◽  
High Triglyceride

Background: The present study aimed to evaluate the association between FM and cardiometabolic risk factors and carotid arterial stiffness in FM patients. Methods: The cardiometabolic risk profile was defined based on the Adult Treatment Panel III panel. Carotid intimal media thickness (cIMT) and arterial stiffness were assessed using high-resolution ultrasonography. Multivariate logistic analysis was performed to estimate the association between FM and cardiometabolic risk factors. We used a general linear regression to compare the cIMT and carotid beta-index between the participants with and without FM. Pearson’s coefficient was calculated to evaluate the potential correlation between cardiometabolic risk profiles, cIMT, and arterial stiffening in FM. Results: FM participants showed a higher risk of central obesity (odds ratio [OR] = 3.21, 95% confidence interval [CI] 1.49, 6.91), high triglyceride (OR = 4.73, 95% CI 2.29, 9.79), and impaired fasting glucose (IFG) (OR = 4.27, 95% CI 2.07, 8.81) compared to the control group. The FM group exhibited higher beta-index values than the control group (p = 0.003). Although IFG and triglyceride glucose index showed a tendency to correlate with the beta-index, statistical significance was not observed. Conclusions: FM was associated with an increased risk of central obesity, high triglyceride levels, and IFG. Furthermore, advanced arterial stiffness of the carotid artery was observed in FM, which might be correlated with insulin resistance.

scholarly journals Use of the Dietary Guideline Index to assess cardiometabolic risk in adolescents

2015 ◽  
Vol 113 (11) ◽  
pp. 1741-1752 ◽  
Author(s):  
Wendy L. Chan She Ping-Delfos ◽  
Lawrence J. Beilin ◽  
Wendy H. Oddy ◽  
Sally Burrows ◽  
Trevor A. Mori
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Diet Quality ◽  
Cardiometabolic Risk ◽  
Dietary Guidelines ◽  
Cardiometabolic Risk Factors ◽  
Model Assessment ◽  
Inverse Association ◽  
Raine Study ◽  
Dietary Guideline

The long-term adherence to the dietary guidelines has not been evaluated against emergence of cardiometabolic risks in adolescents with increasing rates of obesity. The present study aimed to (1) determine the level of adherence to the guidelines using the Australian Dietary Guideline Index for Children and Adolescents (DGI-CA) in adolescents of age 14 and 17 years and to (2) examine the relationship between their assessed diet quality and concurrently measured cardiometabolic risk factors over time. Data were analysed from the Western Australian Pregnancy Cohort (Raine) Study. The DGI-CA was determined from a FFQ. Anthropometry and fasting biochemical measures were taken using standard procedures. Hierarchical linear mixed models examined associations between cardiometabolic risk factors and DGI-CA, adjusting for socio-economic status, physical activity, BMI, and sex, and examining for interactions. The mean DGI-CA scores were 47·1 (sd 10·2) at 14 years (n 1419) and 47·7 (sd 11·0) at 17 years (n 843), and were not different between sex. There was a significant inverse association between DGI-CA and insulin, homeostasis model assessment score and heart rate. The DGI-CA was positively associated with BMI (P= 0·029) but negatively with waist:hip ratio (P= 0·026). It was not associated with lipids or blood pressure, with the exception of a negative association with TAG (P= 0·011). The degree of adherence in the Raine Study adolescents was suboptimal but similar to the Australian Children's Nutrition and Physical Activity Survey. The present study shows that, at any particular time, better diet quality was associated with better insulin sensitivity and TAG levels and decreased abdominal fatness.

scholarly journals Diet-Induced Weight Loss Reduces DNA Damage and Cardiometabolic Risk Factors in Overweight/Obese Women with Polycystic Ovary Syndrome

2016 ◽  
Vol 68 (3) ◽  
pp. 220-227 ◽  
Author(s):  
Nayara Pereira Soares ◽  
Ana Celly Souza dos Santos ◽  
Eduardo Caldas Costa ◽  
George Dantas Azevedo ◽  
Débora Cristina Damasceno ◽  
...  
Keyword(s):  
Risk Factors ◽  
Dna Damage ◽  
Weight Loss ◽  
Polycystic Ovary Syndrome ◽  
Cardiometabolic Risk ◽  
Polycystic Ovary ◽  
Cardiometabolic Risk Factors ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
The Impact

Aims: We aimed to investigate the impact of following a diet to induce weight loss (500 kcal deficit per day) over DNA damage and cardiometabolic risk factors in women with overweight/obesity diagnosed with polycystic ovary syndrome (PCOS). Methods: A study was conducted in Natal, RN, Brazil selecting overweight/obese (body mass index ≥25 and <39 kg/m2) women (18-35 years). The levels of DNA damage were assessed by a single cell gel electrophoresis. Repeated 24 h dietary recall questionnaires, anthropometry, biochemical profile and sex hormones were collected at baseline and after 12 weeks of intervention. Results: Women exhibiting a decrease in the markers of DNA damage: tail intensity (24.35 ± 5.86 - pre diet vs. 17.15 ± 5.04 - post-diet; p < 0.001) and tail moment (20.47 ± 7.85 - pre diet vs. 14.13 ± 6.29 - post-diet; p < 0.002). Reduction of calorie intake, weight loss, decreased sexual hormone and cardiometabolic markers such as insulin, homeostasis model assessment of insulin resistance and low-density lipoprotein cholesterol were verified In the multivariate regression analysis, quantitative insulin sensitivity check index and progesterone were responsible for the variation markers in DNA damage before the diet, losing its influence upon diet. Conclusion: DNA damage and the impact of cardiometabolic risk factors decreased after the intervention in women with PCOS, indicating the relevance of a nutritional approach in this group of patients.

scholarly journals Innovation through Wearable Sensors to Collect Real-Life Data among Pediatric Patients with Cardiometabolic Risk Factors

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Kestens Yan ◽  
Barnett Tracie ◽  
Mathieu Marie-Ève ◽  
Henderson Mélanie ◽  
Bigras Jean-Luc ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Heart Rate ◽  
Cardiometabolic Risk ◽  
Wearable Sensors ◽  
Real Life ◽  
Cardiometabolic Risk Factors ◽  
University Hospital ◽  
Activity Levels ◽  
Accelerometer Data

Background. While increasing evidence links environments to health behavior, clinicians lack information about patients’ physical activity levels and lifestyle environments. We present mobile health tools to collect and use spatio-behavioural lifestyle data for personalized physical activity plans in clinical settings.Methods. The Dyn@mo lifestyle intervention was developed at the Sainte-Justine University Hospital Center to promote physical activity and reduce sedentary time among children with cardiometabolic risk factors. Mobility, physical activity, and heart rate were measured in free-living environments during seven days. Algorithms processed data to generate spatio-behavioural indicators that fed a web-based interactive mapping application for personalised counseling. Proof of concept and tools are presented using data collected among the first 37 participants recruited in 2011.Results. Valid accelerometer data was available for 5.6 (SD=1.62) days in average, heart rate data for 6.5 days, and GPS data was available for 6.1 (2.1) days. Spatio-behavioural indicators were shared between patients, parents, and practitioners to support counseling.Conclusion. Use of wearable sensors along with data treatment algorithms and visualisation tools allow to better measure and describe real-life environments, mobility, physical activity, and physiological responses. Increased specificity in lifestyle interventions opens new avenues for remote patient monitoring and intervention.

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