scholarly journals Examining the Interaction of the Gut Microbiome with Host Metabolism and Cardiometabolic Health in Metabolic Syndrome

Nutrients ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 4318
Author(s):  
Serena Galié ◽  
Christopher Papandreou ◽  
Pierre Arcelin ◽  
David Garcia ◽  
Antoni Palau-Galindo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Cardiometabolic Risk ◽  
Adult Population ◽  
Cardiometabolic Risk Factors ◽  
Plasma Metabolites ◽  
Cardiometabolic Health ◽  
Cross Sectional ◽  
Generalized Canonical Correlation Analysis ◽  
Positive Correlations

(1) Background: The microbiota-host cross-talk has been previously investigated, while its role in health is not yet clear. This study aimed to unravel the network of microbial-host interactions and correlate it with cardiometabolic risk factors. (2) Methods: A total of 47 adults with overweight/obesity and metabolic syndrome from the METADIET study were included in this cross-sectional analysis. Microbiota composition (151 genera) was assessed by 16S rRNA sequencing, fecal (m = 203) and plasma (m = 373) metabolites were profiled. An unsupervised sparse generalized canonical correlation analysis was used to construct a network of microbiota-metabolite interactions. A multi-omics score was derived for each cluster of the network and associated with cardiometabolic risk factors. (3) Results: Five multi-omics clusters were identified. Thirty-one fecal metabolites formed these clusters and were correlated with plasma sphingomyelins, lysophospholipids and medium to long-chain acylcarnitines. Seven genera from Ruminococcaceae and a member from the Desulfovibrionaceae family were correlated with fecal and plasma metabolites. Positive correlations were found between the multi-omics scores from two clusters with cholesterol and triglycerides levels. (4) Conclusions: We identified a correlated network between specific microbial genera and fecal/plasma metabolites in an adult population with metabolic syndrome, suggesting an interplay between gut microbiota and host lipid metabolism on cardiometabolic health.

scholarly journals Effects of Extreme Weight Loss on Cardiometabolic Health in Children With Metabolic Syndrome: A Metabolomic Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Jingxin Liu ◽  
Lin Zhu ◽  
Jing Liao ◽  
Xiaoguang Liu
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Weight Loss ◽  
Body Composition ◽  
Organic Acids ◽  
Cardiometabolic Risk ◽  
The Body ◽  
Cardiometabolic Risk Factors ◽  
Plasma Metabolites ◽  
Cardiometabolic Health

Objectives: To evaluate the effect of extreme weight loss programs on circulating metabolites and their relationship with cardiometabolic health in children with metabolic syndrome.Methods: This study was a quasi-experimental design with a pretest and post-test. Thirty children with metabolic syndrome and aged 10–17years were recruited to an extreme weight loss program (i.e., exercise combined with diet control). The primary outcomes included plasma metabolites, body composition, and cardiometabolic risk factors. A total of 324 metabolites were quantitatively detected by an ultra-performance liquid chromatography coupled to tandem mass spectrometry system, and the variable importance in the projection (VIP) value of each metabolite was calculated by the orthogonal projection to latent structures discriminant analysis. The fold change (FC) and p value of each metabolite were used to screen differential metabolites with the following values: VIP>1, p value<0.05, and |log2FC|>0.25. Pathway enrichment and correlation analyses between metabolites and cardiometabolic risk factors were also performed.Result: A large effect size was observed, presenting a weight loss of −8.9kg (Cohen’s d=1.00, p<0.001), body mass index reduction of −3.3kg/m2 (Cohen’s d=1.47, p<0.001), and body fat percent reduction of −4.1 (%) (Cohen’s d=1.22, p<0.001) after the intervention. Similar improvements were found in total cholesterol (Cohen’s d=2.65, p<0.001), triglycerides (Cohen’s d=2.59, p<0.001), low-density lipoprotein cholesterol (Cohen’s d=2.81, p<0.001), glucose metabolism, and blood pressure. A total of 59 metabolites were changed after the intervention (e.g., aminoacyl-tRNA biosynthesis, glycine, serine, and threonine metabolism; nitrogen metabolism, tricarboxylic acid cycle, and phenylalanine, tyrosine, and tryptophan biosynthesis). The changes in metabolites (e.g., amino acids, fatty acids, organic acids, and carnitine) were related to lipid metabolism improvement (p<0.05). Organic acids and carnitines were associated with changes in the body composition (p<0.05).Conclusion: Exercise combined with dietary control improved the body composition and cardiometabolic health in children with metabolic syndrome, and these changes may be related to plasma metabolites.

scholarly journals Optimal waist:height ratio cut-off point for cardiometabolic risk factors in Turkish adults

2009 ◽  
Vol 13 (4) ◽  
pp. 488-495 ◽  
Author(s):  
Ahmet Selçuk Can ◽  
Emine Akal Yıldız ◽  
Gülhan Samur ◽  
Neslişah Rakıcıoğlu ◽  
Gülden Pekcan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Risk Factor ◽  
Cardiometabolic Risk ◽  
Roc Curves ◽  
Cross Sectional Study ◽  
Cardiometabolic Risk Factors ◽  
Youden Index ◽  
Cross Sectional ◽  
Men And Women

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.

scholarly journals Metabolic Syndrome Knowledge among Adults with Cardiometabolic Risk Factors: A Cross-Sectional Study

2019 ◽  
Vol 16 (1) ◽  
pp. 159 ◽  
Author(s):  
Qun Wang ◽  
Sek Ying Chair ◽  
Eliza Mi-Ling Wong ◽  
Ruth E. Taylor-Piliae ◽  
Xi Chen Hui Qiu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Formal Education ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Cardiometabolic Risk Factors ◽  
Cross Sectional ◽  
Lipid Management ◽  
History Of

Metabolic syndrome (MetS) is a cluster of cardiometabolic risk factors. Many people may be unaware of their risk for MetS. A cross-sectional, descriptive study was conducted among hospitalized patients with at least one cardiometabolic risk factor in Mainland China. This study assessed the MetS knowledgelevel(through MetS Knowledge Scale, MSKS) and examined the potential predictors by regression analysis. A total of 204 patients aged 58.5 ± 10.1 years (55% males) participated in this study. The majority of participants had no history of hypertension (54%), dyslipidemia (79%), or diabetes (85%). However, 56% of these participants had at least three cardiometabolic risk factors, indicating the presence of MetS. The average MSKS was very low (mean = 36.7±18.8, possible range = 0–100), indicating the urgent needs of MetS education in current practice. Predictors of better MetS knowledge included higher educational level, history of dyslipidemia, and normal high-density lipoprotein cholesterol (F (8, 195) = 9.39, adjusted R2 = 0.192, p< 0.001). In conclusion, adults with cardiometabolic risk factors are at risk of developing MetS, but with a low level of knowledge. Specific health education on MetS should be provided, particularly for those with limited formal education or inadequate lipid management.

Associations of Intake of Free and Naturally Occurring Sugars from Solid Foods and Drinks with Cardiometabolic Risk Factors in a Quebec Adult Population: The PREDISE (PRÉDicteurs Individuels, Sociaux et Environnementaux) Study

2021 ◽  
Author(s):  
Amélie Bergeron ◽  
Marie-Ève Labonté ◽  
Didier Brassard ◽  
Catherine Laramée ◽  
Julie Robitaille ◽  
...  
Keyword(s):  
Risk Factors ◽  
Diet Quality ◽  
Cardiometabolic Risk ◽  
Adult Population ◽  
Healthy Eating Index ◽  
Cardiometabolic Risk Factors ◽  
Cardiometabolic Health ◽  
Solid Foods ◽  
Naturally Occurring ◽  
Physical Form

ABSTRACT Background Associations between sugar consumption and cardiometabolic health, taking into account the physical form of sugar-containing foods (liquid vs. solid) and the type of sugars consumed [free sugars (FSs) vs. naturally occurring sugars (NOSs)], remain to be thoroughly documented. Objective The objective was to examine whether FS and NOS intakes from drinks and solid foods are associated with cardiometabolic risk factors in a sample of French-speaking adults from the province of Quebec, Canada. Methods Data were collected as part of the cross-sectional PREDISE (PRÉDicteurs Individuels, Sociaux et Environnementaux) study (n = 1019, 18–65 y old; 50% women). FS and NOS intakes were assessed by three 24-h dietary recalls using a self-administered, web-based application. Diet quality was assessed using the Alternative Healthy Eating Index–2010. Participants underwent on-site clinical assessment of cardiometabolic risk factors, including blood pressure, waist circumference, BMI, and fasting blood sampling (glucose, insulin, C-reactive protein, blood lipids). Multivariable linear regression models were performed to examine the associations between sugar intake and cardiometabolic risk factors with sociodemographic characteristics, lifestyle variables, and diet quality entered as covariates. Results In fully adjusted models, FS intake from drinks was associated with fasting insulin (1.06%; 95% CI: 0.30%, 1.84%; P = 0.006) and with insulin resistance as estimated using the HOMA model (1.01%; 95% CI: 0.19%, 1.84%; P = 0.02). All metabolic variables that were significantly associated with NOS intake from solid foods in minimally adjusted models were no longer significant after entering sociodemographic and lifestyle variables (e.g., educational and income levels, smoking, physical activity, daily energy intake) and diet quality in the models. Conclusions Our data from an adult sample showed that unfavorable and favorable associations with cardiometabolic risk factors observed, respectively, for FS intake from drinks and NOS intake from foods are mostly explained by sociodemographic and lifestyle variables, as well as by diet quality.

scholarly journals The Association Between Habitual Avocado Intake and Metabolic Syndrome (P08-035-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Celine Heskey ◽  
Keiji Oda ◽  
Joan Sabate
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Energy Intake ◽  
Cardiometabolic Risk ◽  
Hdl Cholesterol ◽  
Cardiometabolic Risk Factors ◽  
Portion Size ◽  
Health Study ◽  
Cross Sectional ◽  
Funding Sources

Abstract Objectives To assess the relationship between habitual avocado intake, and cardiometabolic risk factors and metabolic syndrome (MetS). We hypothesized that regular avocado intake is associated with a lower occurrence of elevated blood glucose (BG), TG, blood pressure (BP), and waist circumference (WC), and/or decreased HDL-cholesterol (HDL-C). Methods This cross-sectional analysis was done on a random sample (n = ∼850) of subjects from the Adventist Health Study-2 cohort. Diet was assessed using a quantitative FFQ, which included an item for avocado/guacamole intake. Avocado intake (g/day) was calculated: f * s * n where f = the weighted frequency of avocado; s = the weighted portion size of avocado; and n = standard serving size (32 g) of avocado. FFQ data was also used to calculate total energy intake. Medication use, fasting BG, TG, HDL-C, BP, and WC were assessed during clinics. MetS was defined as follows: ≥3 of the diagnostic criteria defined by the Adult Treatment Panel III. Descriptive statistics including differences of means were analyzed. Logistic regression was used to determine the odds of metabolic syndrome for non-consumers (0 g/day; reference) versus consumers (>0 g/day; 51% of subjects) of avocado. Covariates were measured via a questionnaire: age, gender, race, education, energy intake, and dietary patterns. Results The odds for MetS for avocado consumers was non-significantly lower compared to nonconsumers: OR (95% CI) 0.87 (0.58, 1.30). Mean diastolic BP and WC were significantly lower among avocado consumers compared to nonconsumers. Mean HDL-C, TG, BG, and systolic BP did not differ between groups. Conclusions No relationship between habitual avocado intake and MetS has been found. However, there may be an inverse relationship between avocado intake and specific cardiometabolic risk factors: diastolic BP and WC. Funding Sources Hass Avocado Board, NIH, National Cancer Institute.

scholarly journals Environmental and Psychological Differences in Moderate-to-Vigorous Physical Activity Among Young Adults at Cardiometabolic Risks: A Case-Control Study

2020 ◽  
Author(s):  
Ching Li ◽  
Hsin-Yen Yen
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Young Adults ◽  
Health Beliefs ◽  
Cardiometabolic Risk ◽  
Vigorous Physical Activity ◽  
Cardiometabolic Risk Factors ◽  
Lower Probability ◽  
Cardiometabolic Health ◽  
Cross Sectional

Abstract Background: Young adults’ physical activity is a foundation of creating future healthy lifestyles. The purpose of this study was to explore differences in physical activity, sedentary behavior, walkability, and health beliefs between young adults with and without cardiometabolic risk factors and the influence of moderate-to-vigorous physical activity.Methods: A cross-sectional study was conducted using a structured questionnaire.Results: Totally, 1149 valid responses were received for a response rate of 86.32%. A significant effect of cardiometabolic risk factors on the physical activity and sedentary time among groups was found. Young adults at high risk had a lower probability of moderate-to-vigorous physical activity than did healthy adults. Individuals who perceived that there were more recreational facilities, higher benefits of exercise, and lower barriers to exercise were more likely to participate in moderate-to-vigorous physical activity.Conclusions: Engaging in physical activity from environment and psychological perspectives is necessary for young adults’ cardiometabolic health promotion.

scholarly journals Is there an association between metabolic syndrome and rotator cuff-related shoulder pain? A systematic review

2019 ◽  
Vol 5 (1) ◽  
pp. e000544 ◽  
Author(s):  
Graham Burne ◽  
Michael Mansfield ◽  
Jamie E Gaida ◽  
Jeremy S Lewis
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Metabolic Syndrome ◽  
Rotator Cuff ◽  
Shoulder Pain ◽  
Cardiometabolic Risk ◽  
Case Control ◽  
Cardiometabolic Risk Factors ◽  
Cross Sectional ◽  
Moderate Quality

ObjectivesRotator cuff-related shoulder pain (RCRSP) is a common upper limb complaint. It has been suggested that this condition is more common among people with cardiometabolic risk factors. This systematic review has synthesised evidence from case–control, cross-sectional and cohort studies on the association between metabolic syndrome (MetS) and RCRSP.Design and data sourcesFive medical databases (MEDLINE, EMBASE, SCOPUS, CINAHL and AMED) and reference checking methods were used to identify all relevant English articles that considered MetS and RCRSP. Studies were appraised using the Newcastle-Ottawa Scale (NOS). Two reviewers performed critical appraisal and data extraction. Narrative synthesis was performed via content analysis of statistically significant associations.ResultsThree cross-sectional, two case–control and one cohort study met the inclusion criteria, providing a total of 1187 individuals with RCRSP. Heterogeneity in methodology and RCRSP or MetS definition precluded a meaningful meta-analysis. Four of the included studies identified associations between the prevalence of MetS and RCRSP. Studies consistently identified independent cardiometabolic risk factors associated with RCRSP. All studies were level III evidence.Summary and conclusionThe low-moderate quality evidence included in this review suggests an association between MetS and RCRSP. Most studies demonstrated moderate quality on appraisal. The direction of association and cardiometabolic factors influencing should be investigated by longitudinal and treatment studies. These preliminary conclusions and clinical utility should be treated with caution due to limitations of the evidence base.

scholarly journals Cross-Sectional Assessment of Nut Consumption and Obesity, Metabolic Syndrome and Other Cardiometabolic Risk Factors: The PREDIMED Study

PLoS ONE ◽  
2013 ◽  
Vol 8 (2) ◽  
pp. e57367 ◽  
Author(s):  
Núria Ibarrola-Jurado ◽  
Mònica Bulló ◽  
Marta Guasch-Ferré ◽  
Emilio Ros ◽  
Miguel A. Martínez-González ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Cross Sectional ◽  
Predimed Study

scholarly journals Trends in known and undiagnosed diabetes, HbA1c levels, cardiometabolic risk factors and diabetes treatment target achievement in repeated cross-sectional surveys: the population-based Tromsø Study 1994–2016

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e041846
Author(s):  
Petja Lyn Langholz ◽  
Tom Wilsgaard ◽  
Inger Njølstad ◽  
Rolf Jorde ◽  
Laila Arnesdatter Hopstock
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Cardiometabolic Risk ◽  
Population Based ◽  
Cardiometabolic Risk Factors ◽  
Undiagnosed Diabetes ◽  
Cross Sectional ◽  
Treatment Target ◽  
The Metabolic Syndrome ◽  
Hba1c Levels

ObjectivesThe aim of this study was to investigate time trends in known and undiagnosed diabetes, glycated haemoglobin (HbA1c) levels and other cardiometabolic risk factors in the general population as well as treatment target achievement among those with diabetes.Design and settingRepeated cross-sectional surveys in the population-based Tromsø Study.MethodsWe used age-adjusted generalised estimating equation models to study trends in self-reported and undiagnosed (HbA1c ≥6.5%) diabetes, cardiometabolic risk factors and the metabolic syndrome in 27 281 women and men aged 40–84 years examined in up to four surveys of the Tromsø Study between 1994 and 2016. Further, we analysed trends in diabetes treatment target achievement.ResultsDuring 1994–2016, diabetes prevalence increased in women (2.3% to 4.6%) and men (2.4% to 5.8%) and in all age groups, while the proportion of undiagnosed diabetes in women (32% to 17%) and men (37% to 24%) decreased. Blood pressure and total cholesterol decreased, while waist circumference increased in participants with and without diabetes, leading to a relatively stable prevalence of the metabolic syndrome throughout the study period. There was a marginal increase in HbA1c levels among participants without diabetes. Only half of those with diabetes achieved the treatment target of HbA1c ≤7.0%.ConclusionIn the last two decades, diabetes prevalence increased, while the proportion of undiagnosed diabetes declined. The prevalence of the metabolic syndrome remained stable throughout, driven by opposing trends with an increase in obesity and a decrease in other cardiometabolic risk factors. HbA1c treatment target achievement did not improve.

scholarly journals Accuracy of plasma interleukin-18 and adiponectin concentrations in predicting metabolic syndrome and cardiometabolic disease risk in middle-age Brazilian men

2015 ◽  
Vol 40 (10) ◽  
pp. 1048-1055 ◽  
Author(s):  
Alessandro de Oliveira ◽  
Helen Hermana Hermsdorff ◽  
Paula G. Cocate ◽  
Eliziaria C. Santos ◽  
Josefina Bressan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Central Obesity ◽  
Cardiometabolic Risk ◽  
Disease Risk ◽  
Activity Level ◽  
Cardiometabolic Risk Factors ◽  
Interleukin 18 ◽  
Middle Aged ◽  
Cross Sectional

The aims of this cross-sectional study were to explore the ability of serum interleukin 18 (IL-18) and adiponectin to identify metabolic syndrome (MetS), and to verify their association with an index of central lipid overaccumulation (lipid accumulation product (LAP)) and cardiometabolic risk factors in a population of middle-aged Brazilian men. A group of 218 apparently healthy middle-aged Brazilian men (age, 50.3 ± 4.97 years) underwent anthropometric, clinical, sociodemographic, and standard serum biochemical assessments. LAP was calculated and the study participants were categorized into 3 groups according to serum IL-18 and adiponectin cut-points tertiles to verify the association of these biomarkers with cardiometabolic risk factors. The MetS group had more less active (p = 0.03) and obese (p < 0.01) individuals who exhibited higher IL-18 (p < 0.01) and lower adiponectin (p < 0.01) than did those in the group with no MetS. After adjustments (age, smoking, alcohol consumption, physical activity level, and total body fat), serum IL-18 ≥ 336.4 pg/mL was an independent factor for MetS occurrence and it was directly associated with LAP (≥51.28), central obesity, hypertriglyceridemia, and hypertension (p < 0.05), but not with high-density lipoprotein cholesterol (HDL-C). Serum adiponectin ≥ 7.02 μg/mL was negatively associated with MetS occurrence, LAP, hypertriglyceridemia, and low HDL-C (p < 0.05), but not with central obesity and hypertension. In conclusion, both IL-18 and adiponectin demonstrated the ability to identify MetS in this population, with IL-18 being more accurate. The association of these biomamarkers with LAP and cardiometabolic risk factors highlights its relevance as a diagnostic tool.

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