scholarly journals Plasma Metabolomic Profiles of Glycemic Index, Glycemic Load, and Carbohydrate Quality Index in the PREDIMED Study

2020 ◽  
Vol 151 (1) ◽  
pp. 50-58
Author(s):  
Mònica Bulló ◽  
Christopher Papandreou ◽  
Miguel Ruiz-Canela ◽  
Marta Guasch-Ferré ◽  
Jun Li ◽  
...  
Keyword(s):  
Glycemic Index ◽  
Quality Index ◽  
Pearson Correlation ◽  
Glycemic Load ◽  
Plasma Concentrations ◽  
Plasma Metabolites ◽  
Mediterranean Population ◽  
Cardiometabolic Disorders ◽  
Carbohydrate Quality

ABSTRACT Background The quality of carbohydrate consumed, assessed by the glycemic index (GI), glycemic load (GL), or carbohydrate quality index (CQI), affects the postprandial glycemic and insulinemic responses, which have been implicated in the etiology of several chronic diseases. However, it is unclear whether plasma metabolites involved in different biological pathways could provide functional insights into the role of carbohydrate quality indices in health. Objectives We aimed to identify plasma metabolomic profiles associated with dietary GI, GL, and CQI. Methods The present study is a cross-sectional analysis of 1833 participants with overweight/obesity (mean age = 67 y) from 2 case-cohort studies nested within the PREDIMED (Prevención con Dieta Mediterránea) trial. Data extracted from validated FFQs were used to estimate the GI, GL, and CQI. Plasma concentrations of 385 metabolites were profiled with LC coupled to MS and associations of these metabolites with those indices were assessed with elastic net regression analyses. Results A total of 58, 18, and 57 metabolites were selected for GI, GL, and CQI, respectively. Choline, cotinine, γ-butyrobetaine, and 36:3 phosphatidylserine plasmalogen were positively associated with GI and GL, whereas they were negatively associated with CQI. Fructose-glucose-galactose was negatively and positively associated with GI/GL and CQI, respectively. Consistent associations of 21 metabolites with both GI and CQI were found but in opposite directions. Negative associations of kynurenic acid, 22:1 sphingomyelin, and 38:6 phosphatidylethanolamine, as well as positive associations of 32:1 phosphatidylcholine with GI and GL were also observed. Pearson correlation coefficients between GI, GL, and CQI and the metabolomic profiles were 0.30, 0.22, and 0.27, respectively. Conclusions The GI, GL, and CQI were associated with specific metabolomic profiles in a Mediterranean population at high cardiovascular disease risk. Our findings may help in understanding the role of dietary carbohydrate indices in the development of cardiometabolic disorders. This trial was registered at isrctn.com as ISRCTN35739639.

scholarly journals Association between carbohydrate quality index and general and central obesity in adults: a population-based study in Iran

2021 ◽  
Author(s):  
Nasim Janbozorgi ◽  
Kurosh Djafarian ◽  
Saba Mohammadpour ◽  
Mahtab Zareie Abyane ◽  
Mahdi Zameni ◽  
...  
Keyword(s):  
Glycemic Index ◽  
Quality Index ◽  
Central Obesity ◽  
Glycemic Load ◽  
Population Based ◽  
Cross Sectional Study ◽  
Dietary Carbohydrates ◽  
Total Carbohydrate ◽  
Cross Sectional ◽  
Carbohydrate Quality

Introduction: To determine whether dietary carbohydrates quality index (CQI), glycemic index, and glycemic load is associated with general and abdominal obesity. Methods: 850 participants, 20 to 59 years old, were enrolled in a cross-sectional study from five Tehran districts through health houses. The 168 items in the semi--quantitative food frequency questionnaire were used to assess dietary intake. The CQI was calculated by using the following four components: glycemic index, total fiber, solid carbohydrate to total carbohydrate ratio, and whole grains: total grains ratio. Results: After adjusting for confounding factors, the chance of obesity in men (OR=0.38, 95% CI 0.15to 0.95; P=0.04) measured by waist circumference (WC) was significantly lower in the fourth quintile of CQI in comparison with the first quintile. In addition, OR for obesity in men (OR=2.53, 95% CI0.52 to 1.37; P=0.04) was significantly 2.5 times higher among those in the fourth quintile of glycemic index compared with those in the lowest quintile. There was no significant association between dietary carbohydrates with general obesity in men and women. Conclusion: In summary, dietary CQI is significantly inversely related to central obesity in men,according to this study. Additionally, adherence to a diet with a higher glycemic index in men is positively associated with central obesity.

The relationship between carbohydrate quality and the prevalence of metabolic syndrome: challenges of glycemic index and glycemic load

2017 ◽  
Vol 57 (3) ◽  
pp. 1197-1205 ◽  
Author(s):  
Mariane de Mello Fontanelli ◽  
Cristiane Hermes Sales ◽  
Antonio Augusto Ferreira Carioca ◽  
Dirce Maria Marchioni ◽  
Regina Mara Fisberg
Keyword(s):  
Metabolic Syndrome ◽  
Glycemic Index ◽  
Glycemic Load ◽  
Carbohydrate Quality ◽  
The Relationship

scholarly journals Value added Indian flat breads with Ashwagandha and its glycemic response among normal healthy subjects

2018 ◽  
Author(s):  
Neelam Chaturvedi, Nishtha Raj and Ayush Borah
Keyword(s):  
Diabetes Mellitus ◽  
Glycemic Index ◽  
Healthy Subjects ◽  
Functional Foods ◽  
Glycemic Load ◽  
Value Added ◽  
Glycemic Response ◽  
Carbohydrate Quality ◽  
Improve Glucose Tolerance ◽  
Low Glycemic Index

The glycemic index (GI) provides an indication of carbohydrate quality whereas glycemic load (GL) provides carbohydrates quantity in a food and the insulin demand. Diet with low glycemic index and glycemic load have been shown to improve glucose tolerance on normal healthy subjects so there is a need for a more diversified range of foods with a low glycemic response. The objective of present work was to formulate ashwagandha based food products by utilizing their root powder as an ingredient and their glycemic responses on normal healthy subjects. The products (Chappati, Naan and Thepla) were developed by incorporation of 2%, 4%, 6% and 8% aswagandha root. The result showed that the products with 2% root powder were most acceptable by semi trained panels. Further, study was conducted on randomly selected 30 healthy subjects were fed most acceptable test recipe i.e. thepla and their glycemic response was anticipated. GI and GL values were 37.30 and 11.36 found to be lower 2% root incorporated in thepla while comparing with standard thepla. The data demonstrated that the test thepla belongs to low glycemic index and medium glycemic load. Thus, the inclusion of ashwagandha powder as a constituent can be used to achieve a wider range of low glycemic functional foods possessing sensory attributes that could be valuable for managing the diabetes mellitus.

The association between carbohydrate quality index and nutrient adequacy in Iranian adults

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mena Farazi ◽  
Ahmad Jayedi ◽  
Zahra Noruzi ◽  
Fatemeh Dehghani Firouzabadi ◽  
Elaheh Asgari ◽  
...  
Keyword(s):  
Glycemic Index ◽  
Quality Index ◽  
Cross Sectional Study ◽  
Total Carbohydrate ◽  
Cross Sectional ◽  
Content Type ◽  
Nutrient Adequacy ◽  
Carbohydrate Quality ◽  
And Gender ◽  
Three Components

Purpose This paper aims to evaluate the association between carbohydrate quality index (CQI) and nutrient adequacy in Iranian adults. Design/methodology/approach A total of 268 men and women with ages ranged from 18 to 70 years were evaluated in a cross-sectional study. The CQI was calculated by adding together the three components, namely, the ratio of solid to total carbohydrate, dietary fiber and glycemic index. The scores of three components were summed to calculate the CQI, with a higher score indicating a higher dietary carbohydrate quality. The odds ratios (ORs) of nutrient adequacy ratio (NAR), defined as the ratio of intake of a nutrient to the age- and gender-specific recommended dietary allowance, for the intake of energy and 10 nutrients across quartiles of the CQI were calculated by logistic regression analysis and expressed with 95% confidence intervals (CIs). Findings CQI ranged between 3 to 15 (mean ± SD: 9 ± 1.9). Being in top versus bottom quartile of the CQI was associated with a higher NAR of folic acid (OR: 3.20, 95% CI: 1.06–9.62; P-trend: <0.001), vitamin A (OR: 3.66; 95% CI: 1.46–9.17; P-trend: <0.001), magnesium (OR: 5.94; 95% CI; 1.71–20.53; P-trend: <0.001), vitamin C (OR: 7.85; 95% CI; 2.99–20.59; P-trend: <0.001). Originality/value A higher CQI was associated with greater micronutrient consumption adequacy in Iranian adults. The results suggest that increasing the consumption of total fiber and solid carbohydrates and decreasing the glycemic index of the diet and liquid carbohydrates can improve micronutrient intake adequacy.

scholarly journals Role of glycemic index and glycemic load in the healthy state, in prediabetes, and in diabetes

2008 ◽  
Vol 87 (1) ◽  
pp. 269S-274S ◽  
Author(s):  
Gabriele Riccardi ◽  
Angela A Rivellese ◽  
Rosalba Giacco
Keyword(s):  
Glycemic Index ◽  
Glycemic Load ◽  
Healthy State

Habitual and meal-specific carbohydrate quality index and their relation to metabolic syndrome in a sample of Iranian adults

2021 ◽  
Author(s):  
Maryam Majdi ◽  
Hossein Imani ◽  
Elham Bazshahi ◽  
Fatemeh Hosseini ◽  
Kurosh Djafarian ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Quality Index ◽  
Cross Sectional Study ◽  
Study Data ◽  
Cross Sectional ◽  
Carbohydrate Quality ◽  
Habitual Diet ◽  
Eating Occasions ◽  
The Relationship

Abstract Objective: Most studies on diet quality have focused on the habitual and overall intake of foods without considering intakes at specific eating occasions. The aim of this study was to assess the relationship between habitual and meal-specific carbohydrate quality index (CQI) and metabolic syndrome (MetS) in Iranian adults.Methods: In this cross-sectional study, data from 850 participants were analyzed. Dietary information was obtained from a 3-day non-consecutive 24 hours recall. CQI was calculated from three criteria: dietary fiber, glycemic index, and solid carbohydrate/available carbohydrate ratio. The association between CQI and MetS was assessed by logistic regression.Results: The prevalence of MetS in the lowest and highest tertile of CQI were 30.1 and 33.7, respectively (P=0.6). We identified, the trend of elevated FBG with CQI in dinner meal was statistically significant. In habitual diet and all three meals, we failed to find any significant association between tertiles of CQI and MetS either before or after adjustment for covariates.Conclusion: The results of this study showed that CQI was not associated with MetS and its components. Further investigations into the mechanisms underlying the role of carbohydrate quality in developing metabolic disorders are warranted.

scholarly journals The Role of Glycemic Index and Glycemic Load in the Development of Real-Time Postprandial Glycemic Response Prediction Models for Patients with Gestational Diabetes

Nutrients ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 302 ◽  
Author(s):  
Evgenii Pustozerov ◽  
Aleksandra Tkachuk ◽  
Elena Vasukova ◽  
Aleksandra Dronova ◽  
Ekaterina Shilova ◽  
...  
Keyword(s):  
Linear Regression ◽  
Gestational Diabetes ◽  
Pregnant Women ◽  
Glycemic Index ◽  
Prediction Models ◽  
Pearson Correlation ◽  
Glycemic Load ◽  
Response Prediction ◽  
Mobile App ◽  
Glycemic Response

The incorporation of glycemic index (GI) and glycemic load (GL) is a promising way to improve the accuracy of postprandial glycemic response (PPGR) prediction for personalized treatment of gestational diabetes (GDM). Our aim was to assess the prediction accuracy for PPGR prediction models with and without GI data in women with GDM and healthy pregnant women. The GI values were sourced from University of Sydney’s database and assigned to a food database used in the mobile app DiaCompanion. Weekly continuous glucose monitoring (CGM) data for 124 pregnant women (90 GDM and 34 control) were analyzed together with records of 1489 food intakes. Pearson correlation (R) was used to quantify the accuracy of predicted PPGRs from the model relative to those obtained from CGM. The final model for incremental area under glucose curve (iAUC120) prediction chosen by stepwise multiple linear regression had an R of 0.705 when GI/GL was included among input variables and an R of 0.700 when GI/GL was not included. In linear regression with coefficients acquired using regularization methods, which was tested on the data of new patients, R was 0.584 for both models (with and without inclusion of GI/GL). In conclusion, the incorporation of GI and GL only slightly improved the accuracy of PPGR prediction models when used in remote monitoring.

Abstract P140: Glycemic Index, Glycemic Load, and Risk of Type 2 Diabetes: Results from 3 Large US Cohorts and an Updated Meta-analysis

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Shilpa N Bhupathiraju ◽  
Deidre K Tobias ◽  
Vasanti S Malik ◽  
An Pan ◽  
Adela Hruby ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Glycemic Index ◽  
Meta Analysis ◽  
Glycemic Load ◽  
Health Study ◽  
Validated Questionnaire ◽  
Cereal Fiber

Epidemiologic evidence for the role of glycemic index (GI) and glycemic load (GL) in the prevention of type 2 diabetes (T2D) has been mixed. The American Diabetes Association’s nutrition recommendations for T2D prevention state that there is not sufficient, consistent evidence to conclude that low GL diets reduce T2D risk but acknowledge the role of low GI foods rich in fiber in preventing T2D. Therefore, our objectives were to 1) prospectively examine the association of dietary GI and GL with T2D in 3 US cohorts, and 2) conduct an updated meta-analysis of the previous literature including results from our 3 cohorts. We prospectively followed 74,248 women from the Nurses’ Health Study (1984-2008), 86,484 women from the Nurses’ Health Study II (1991-2009), and 40,525 men from the Health Professionals Follow-up Study (1986-2008) who were free of diabetes, cardiovascular disease, and cancer at baseline. Diet was assessed every 4 years using a validated questionnaire. During 3,738,507 person-years of follow-up, we documented 14,482 T2D cases. In pooled multivariable analyses, after adjusting for dietary and non-dietary covariates including body mass index, those in the highest quintile of energy-adjusted GI had a 34% higher risk (95% CI: 27-43%) of T2D. Participants in the highest quintile of energy-adjusted GL had a 13% higher risk (95% CI: 5-22%) for T2D. Participants in the highest tertile of GI/GL and lowest tertile of cereal fiber had about a 50% (GI, RR=1.59, 95% CI:1.47-1.73; GL, RR=1.47, 95% CI:1.32-1.63) higher risk for T2D compared to those in the lowest tertile of GI/GL and highest tertile of cereal fiber. In the updated meta-analysis (675,767 participants and 45,570 T2D cases), the summary RRs (95% CIs) comparing the highest versus lowest categories of GI and GL were 1.19 (1.15-1.24) and 1.13 (1.09-1.18), respectively (Figure 1A and 1B). Our findings provide further evidence that a high GI/GL diet is associated with a higher T2D risk. Public health recommendations for T2D prevention should incorporate GI and GL in meal planning.

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