scholarly journals Linking Gut Microbiota, Metabolic Syndrome and Metabolic Health among a Sample of Obese Egyptian Females

2021 ◽  
Vol 9 (A) ◽  
pp. 1123-1131
Author(s):  
Nayera E. Hassan ◽  
Sahar A. El-Masry ◽  
Ayat Nageeb ◽  
Mohamed S. El Hussieny ◽  
Aya Khalil ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Gut Microbiota ◽  
Serum Cholesterol ◽  
Inflammatory Marker ◽  
Cross Sectional Study ◽  
Fecal Microbiota ◽  
Obese Group ◽  
Laboratory Evaluation ◽  
Cross Sectional ◽  
Negatively Associated

Background: Studies of the gut microbiota have revealed a great link to obesity and metabolic syndrome (MetS). The aim of this study was to review the dysbiosis of gut microbiota in terms of the components of MetS among a sample of obese Egyptian female patients and to assess current potential gut microbiota targeted therapies for the treatment of MetS. Methods: This study is a cross-sectional study included 82 obese Egyptian women.  All participants were subjected to anthropometric assessment; and  laboratory evaluation of fasting blood sugar (FBS), insulin, C-reactive protein (CRP), lipid profile and insulin resistance (HOMA), in addition to fecal microbiota analysis for Lactobacillus, Bifidobacteria, Firmicutes and Bacteroid. Results: Among obese group with MetS, Firmicutes / Bacteroidetes Ratio was negatively associated with HOMA and positively associated with serum cholesterol and LDL, while lactobacillus was negatively associated with serum cholesterol. Among obese group without MetS, Firmicutes/ Bacteroidetes ratio is negatively associated with WC (central obesity marker) and positively associated with CRP (inflammatory marker), while lactobacillus was positively correlated with FBS and HOMA, and Bifidobacteria was negatively associated with serum cholesterol and LDL.Conclusion: The two beneficial types the Lactobacillus and bifidobacteria supplementation in form of probiotic with therapeutic treatment and decreasing of WChave their important role in controlling and treating hypertension, serum cholesterol and LDL levels, among obese females even with MetS.

scholarly journals Gut Microbiota Profile and Its Association with Clinical Variables and Dietary Intake in Overweight/Obese and Lean Subjects: A Cross-Sectional Study

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 2032
Author(s):  
Judit Companys ◽  
Maria José Gosalbes ◽  
Laura Pla-Pagà ◽  
Lorena Calderón-Pérez ◽  
Elisabet Llauradó ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Dietary Intake ◽  
Saturated Fatty Acids ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
Negatively Associated ◽  
Clinical Variables ◽  
Obese Subjects

We aimed to differentiate gut microbiota composition of overweight/obese and lean subjects and to determine its association with clinical variables and dietary intake. A cross-sectional study was performed with 96 overweight/obese subjects and 32 lean subjects. Anthropometric parameters were positively associated with Collinsella aerofaciens, Dorea formicigenerans and Dorea longicatena, which had higher abundance the overweight/obese subjects. Moreover, different genera of Lachnospiraceae were negatively associated with body fat, LDL and total cholesterol. Saturated fatty acids (SFAs) were negatively associated with the genus Intestinimonas, a biomarker of the overweight/obese group, whereas SFAs were positively associated with Roseburia, a biomarker for the lean group. In conclusion, Dorea formicigenerans, Dorea longicatena and Collinsella aerofaciens could be considered obesity biomarkers, Lachnospiraceae is associated with lipid cardiovascular risk factors. SFAs exhibited opposite association profiles with butyrate-producing bacteria depending on the BMI. Thus, the relationship between diet and microbiota opens new tools for the management of obesity.

scholarly journals Association between demographics, socioeconomic status and metabolic syndrome in American adults: a cross-sectional study

2019 ◽  
Author(s):  
Yang Liu ◽  
Liyan Jiang ◽  
Mengru Zeng
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Socioeconomic Status ◽  
Body Mass ◽  
Family Income ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Negatively Associated ◽  
Race Ethnicity

Abstract Background Evidence regarding the association between demographics, socioeconomic status and metabolic syndrome is limited. We aim to investigate whether demographics and socioeconomic status are correlated with metabolic syndrome using data from National Health and Nutrition Examination Survey through 2013/2014 to 2015/2016.Methods A total of 4313 selected participants were included in this cross-sectional study. The independent variables were demographics (age, gender,and race/ethnicity) and socioeconomic status (the ratio of family income to poverty). The dependent variable was metabolic syndrome. The covariates included data release cycle, education level, marital status, dietary data, health insurance, average alcoholic drinks, current smoking, sedentary activity hours, physical activity minutes, and body mass index. Logistic regression analysis was used to evaluate the association between demographics, socioeconomic status and metabolic syndrome.Results In fully-adjusted models, we found that age was positively associated with metabolic syndrome (OR:1.05, 95%CI:1.04-1.05); compared with the male group, female was positively associated with metabolic syndrome in participants with body mass index under 25 kg/m 2 (OR:1.84, 95%CI:1.07-3.18) whereas it was negatively associated with metabolic syndrome in those with body mass index equal to or greater than 30 kg/m 2 (OR:0.62, 95%CI:0.48-0.81); compared with Mexican American, non-Hispanic Asian and other race/ethnicity were positively associated with metabolic syndrome in participants with body mass index under 25 kg/m 2 (OR: 7.30, 95%CI: 1.50-35.62 and OR: 6.09, 95%CI: 1.25-29.74, respectively) while non-Hispanic Black was negatively associated with metabolic syndrome in participants with body mass index equal to or greater than 25 kg/m 2 and less than 30 kg/m 2 (OR:0.58, 95%CI:0.36-0.92); there was no significant association between the ratio of family income to poverty and metabolic syndrome.Conclusions Among the population of nationally representative non-pregnant American adults, there is a correlation between demographics and metabolic syndrome whereas no correlation between socioeconomic status and metabolic syndrome after multivariates adjustment. Healthcare interventions targeting those with metabolic syndrome including older individuals, obese males, along with females, non-Hispanic Asian and other race/ethnicity with BMI under 25 kg/m 2 are required to address these disparities.

scholarly journals Gut Microbiota Profile and Changes in Body Weight in Elderly Subjects with Overweight/Obesity and Metabolic Syndrome

2021 ◽  
Vol 9 (2) ◽  
pp. 346
Author(s):  
Alessandro Atzeni ◽  
Serena Galié ◽  
Jananee Muralidharan ◽  
Nancy Babio ◽  
Francisco José Tinahones ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Weight Loss ◽  
Body Weight ◽  
Gut Microbiota ◽  
Amplicon Sequencing ◽  
Fecal Microbiota ◽  
Elderly Subjects ◽  
Baseline Body Mass Index ◽  
Cross Sectional ◽  
Stool Samples

Gut microbiota is essential for the development of obesity and related comorbidities. However, studies describing the association between specific bacteria and obesity or weight loss reported discordant results. The present observational study, conducted within the frame of the PREDIMED-Plus clinical trial, aims to assess the association between fecal microbiota, body composition and weight loss, in response to a 12-month lifestyle intervention in a subsample of 372 individuals (age 55–75) with overweight/obesity and metabolic syndrome. Participants were stratified by tertiles of baseline body mass index (BMI) and changes in body weight after 12-month intervention. General assessments, anthropometry and biochemical measurements, and stool samples were collected. 16S amplicon sequencing was performed on bacterial DNA extracted from stool samples and microbiota analyzed. Differential abundance analysis showed an enrichment of Prevotella 9, Lachnospiraceae UCG-001 and Bacteroides, associated with a higher weight loss after 12-month of follow-up, whereas in the cross-sectional analysis, Prevotella 2 and Bacteroides were enriched in the lowest tertile of baseline BMI. Our findings suggest that fecal microbiota plays an important role in the control of body weight, supporting specific genera as potential target in personalized nutrition for obesity management. A more in-depth taxonomic identification method and the need of metabolic information encourages to further investigation.

scholarly journals Gut Microbiota Dysbiosis in Patients with Biopsy-Proven Nonalcoholic Fatty Liver Disease: A Cross-Sectional Study in Taiwan

Nutrients ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 820 ◽  
Author(s):  
Ming-Chao Tsai ◽  
Yu-Yin Liu ◽  
Chih-Che Lin ◽  
Chih-Chi Wang ◽  
Yi-Ju Wu ◽  
...  
Keyword(s):  
Liver Disease ◽  
Gut Microbiota ◽  
Fatty Liver ◽  
Nonalcoholic Fatty Liver Disease ◽  
Fatty Liver Disease ◽  
Cross Sectional Study ◽  
Fecal Microbiota ◽  
Sectional Study ◽  
Cross Sectional ◽  
Nonalcoholic Fatty Liver

The gut microbiota plays a role in nonalcoholic fatty liver disease (NAFLD), but data about gut dysbiosis in Asians with NAFLD remains scarce. We analyzed the differences in fecal microbiota between adults with and without NAFLD. This cross-sectional study examined adults with histology-proven NAFLD (25 nonalcoholic fatty liver (NAFL) patients, 25 nonalcoholic steatohepatitis (NASH) patients, and 25 living liver donors (healthy controls)). The taxonomic composition of the gut microbiota was determined by 16S ribosomal RNA gene sequencing of stool samples. The NAFL and NASH groups showed lower total bacterial diversity and richness than the controls. NAFLD patients had higher levels of the phylum Bacteroidetes and lower levels of Firmicutes than controls. The genus Ruminococcaceae UCG-010, family Ruminococcaceae, order Clostridiales, and class Clostridia were less abundant in patients with NAFL or NASH than healthy individuals. The lipopolysaccharide biosynthesis pathway was differentially enriched in the NASH group. This study examined the largest number of Asian patients with biopsy-proven NAFL and NASH in terms of dysbiosis of the gut microbiota in NAFLD patients. NAFLD patients had higher levels of Bacteroidetes and lower levels of Firmicutes. These results are different from research from western countries and could provide different targets for therapies by region.

Association between metabolic syndrome and thyroid stimulating hormone - A cross sectional study

2019 ◽  
Vol 9 (2) ◽  
pp. 87-90
Author(s):  
Karanam Madhuri ◽  
◽  
Rishi Kumar Venkatachalam ◽  
A Nasreen Begum ◽  
Shamsheer Khan P ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Cross Sectional Study ◽  
Thyroid Stimulating Hormone ◽  
Sectional Study ◽  
Cross Sectional ◽  
Stimulating Hormone

Cut off value of plasma 25-hydroxyvitamin D concentration for predicting metabolic syndrome

2019 ◽  
pp. 68-73
Author(s):  
Trong Nghia Nguyen ◽  
Thi Nhan Nguyen ◽  
Thi Dua Dao
Keyword(s):  
Metabolic Syndrome ◽  
Medical Center ◽  
Cross Sectional Study ◽  
Control Group ◽  
Cross Sectional ◽  
Hydroxyvitamin D ◽  
The Metabolic Syndrome ◽  
25 Hydroxyvitamin D ◽  
Key Words Metabolic Syndrome ◽  
And Control

Background: The metabolic syndrome is a constellation of cardiometabolic risk factors that tend to cluster together in affected individuals more often than predicted by chance. The presence of the metabolic syndrome substantially increases the risk of developing type 2 diabetes and cardiovascular disease, and is associated with a range of adverse clinical outcomes, many of which are closely associated with aging. Current estimates suggest that approximately 20 - 25% of the world’s population is affected by the metabolic syndrome. The prevalence of the metabolic syndrome rises with age and more than 45% of people aged over 60 years have the metabolic syndrome. Recent studies show that low vitamin D status is very common in the world and this is a risk factor of metabolic syndrome. Objective: (1) Plasma 25-hydroxyvitamin D concentration in subjects with metabolic syndrome. (2) Cut off value of plasma 25-hydroxyvitamin D concentration for predicting metabolic syndrome. Material and method: A cross-sectional study with control group on 318 adult subjects for health examinations at International Medical Center at Hue Central Hospital, including 139 subjects with metabolic syndrome and control group of 179 healthy subjects. Metabolic syndrome was defined according to the IDF, NHLBI, AHA, WHF, IAS, IASO (2009). Plasma hydroxyvitamin D concentration was measured using chemiluminescent microparticle immunoassay. Reciever operating characteristic (ROC) curve were generated to assess sensitivity and specificity for different cut off value of 25-hydroxyvitamin D concentration for predicting metabolic syndrome. Results: Plasma 25-hydroxyvitamin D concentration in subjects with metabolic syndrome was 26.4 ng/ml, incidence of plasma 25-hydroxyvitamin D deficiency (59.7%) was significantly higher than in control group (23.5%) (p < 0.001). The optimal cut off point for 25-OH-D concentration for predictor of metabolic syndrome as 26.4 ng/ml (AUC=0.657, sensitivity=53.4%, specificity=71.6%). Conclusion: In 139 subjects with metabolic syndrome, the plasma 25-hydroxyvitamin D concentration was 26.4 ng/ml and the incidence of 25-hydroxyvitamin D deficiency in the metabolic syndrome group was 59.7%. The optimal cut off point for plasma 25-hydroxyvitamin D concentration for predictor of metabolic syndrome as 26.4 ng/ml. Key words: Metabolic syndrome, 25-hydroxyvitamin D

Metabolic Syndrome in HIV-patients in Antiretroviral Therapy

2020 ◽  
Vol 18 (6) ◽  
pp. 388-395
Author(s):  
Daniel Vargas-Pacherrez ◽  
Helma P. Cotrim ◽  
Leonardo Pires ◽  
Vitor Cunha ◽  
Vitor Coelho ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Antiretroviral Therapy ◽  
International Diabetes Federation ◽  
Cross Sectional Study ◽  
People Living With Hiv ◽  
Anthropometric Data ◽  
Cross Sectional ◽  
History Of ◽  
Family History Of Hypertension ◽  
Living With Hiv

Introduction: The global prevalence of metabolic syndrome (MS) among people living with HIV/AIDS varies from 20% to 33%. Objective: to estimate the prevalence of metabolic syndrome and associated factors in a group of HIV-infected patients on antiretroviral therapy. Methods: This is a cross-sectional study with HIV-infected patients from a reference center in Bahia, Brazil. We evaluated clinical, socio-demographic and anthropometric data. MS was defined according to the guidelines of International Diabetes Federation. Results: We evaluated 152 patients with mean age of 47.3±11.6 years, 59.2% male. The main comorbidities detected were diabetes (3.3%) hypertriglyceridemia (9.3%) and metabolic syndrome (MS,38.2%). Patients with MS were predominantly women (55.2% vs 31.9%; p=0.005), older [52.1 (10.4) vs 44.3 (11.3); p<0.001], and had overweight (74.1% vs 23.4%; p<0.001). After multivariate analysis MS remained associated with age (OR = 1.076; 95% CI: 1.030 – 1.125), female sex (OR = 2.452; 95% CI: 1.114 – 5.374) and family history of hypertension (OR = 3.678; 95% CI: 1.431 – 9.395). Conclusion: Almost half of the HIV-infected patients in Bahia presents with MS which seems to be driven by classical risk factors.

scholarly journals Association of breastfeeding and risk of metabolic syndrome and its components in postmenopausal parous women: Korea national health and nutrition examination survey (2010 ~ 2016)

2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Jusuk Lee ◽  
Taehong Kim
Keyword(s):  
Metabolic Syndrome ◽  
Laboratory Data ◽  
Multivariate Logistic Regression Analysis ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Korean Women ◽  
Cross Sectional ◽  
Increased Risk ◽  
Nationally Representative ◽  
Study Participants

Abstract Background Understanding the relationship between breastfeeding (BF) and metabolic syndrome (Mets) is important for maternal long-term health benefits and disease prevention. This study aimed to examine the association between BF and Mets and its components among postmenopausal parous Korean women. Methods This cross-sectional study on 10,356 Korean women used nationally representative data from the KNHANES from 2010 to 2016. Anthropometric, laboratory data and manual BP were measured. A multivariate logistic regression analysis was conducted to examine the association of BF with Mets and its components after adjusting for potential confounding variables. A p-value < 0.05 was to be considered statistically significant. Results Mets was present in 42% of the study participants. The BF group had low household income and education level. The prevalence of Mets in the BF group was higher than that in the non-BF group (42.69% vs. 34.76%, p <  0.001). BF was associated with increased risk of Mets (odds ratio [OR]: 1.4, 95% confidence interval [CI]: 1.18–1.65, p <  0.001). The BF group was at higher risks for diabetes (OR: 1.5, 95%CI: 1.14–1.98), hypertension (OR: 1.32, 95%CI: 1.03–1.68), hypertriglyceridemia (OR: 1.42, 95%CI: 1.02–1.99) and low high-density lipoprotein cholesterol (OR: 1.32, 95%CI: 1.06–1.65). Conclusion In this study, BF did not affect decreasing the prevalence of Mets and its components.

scholarly journals Starchy Vegetables and Metabolic Syndrome in Costa Rica

Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1639
Author(s):  
Zhongyao Li ◽  
Dongqing Wang ◽  
Edward A. Ruiz-Narváez ◽  
Karen E. Peterson ◽  
Hannia Campos ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Regression Models ◽  
Fasting Blood Glucose ◽  
Population Based ◽  
Cross Sectional Study ◽  
Costa Rican ◽  
Least Square ◽  
Inverse Association ◽  
Linear Regression Models ◽  
Cross Sectional

Only a few studies primarily examined the associations between starchy vegetables (other than potatoes) and metabolic syndrome (MetS). We aimed to evaluate the association between starchy vegetables consumption and MetS in a population-based sample of Costa Rican adults. We hypothesized that a higher overall intake of starchy vegetables would not be associated with higher MetS prevalence. In this cross-sectional study, log-binomial regression models were used to estimate prevalence ratios (PRs) of MetS across quintiles of total, unhealthy, healthy starchy vegetables, and individual starchy vegetables (potatoes, purple sweet potatoes, etc.), among 1881 Costa Rican adults. Least square means and 95% confidence intervals (CIs) from linear regression models were estimated for each MetS component by categories of starchy vegetable variables. Higher intakes of starchy vegetables were associated with a higher prevalence of MetS in crude models, but no significant trends were observed after adjusting for confounders. A significant inverse association was observed between total starchy and healthy starchy vegetables consumption and fasting blood glucose. In this population, starchy vegetables might be part of a healthy dietary pattern.

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