Middle-aged overweight South Asian men exhibit a different metabolic adaptation to short-term energy restriction compared with Europeans

Bakker, Leontine E. H.; Guigas, Bruno; Schinkel, Linda D. van; Zon, G.C.M. van der; Streefland, Trea C M; Klinken, Jan B. van; Jonker, Jacqueline T.; Lamb, Hildo J.; Smit, Johannes; Pijl, Hanno; Meinders, A. E.; Jazet, Ingrid M.

doi:10.1007/s00125-014-3408-4

Cited by 7 publications

(7 citation statements)

References 52 publications

(64 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We therefore speculate that alterations in metabolic flexibility and mitochondrial aerobic metabolism (Smith et al, 2018) may be a fruitful area for further study. Consistent with this suggestion, a previous small experimental study reported that overweight South Asian men had impaired metabolic flexibility compared with matched European counterparts (Bakker et al, 2015) and we have previously observed poorer oxidative capacity in skeletal muscle independent of diabetes in South Asians compared with Europeans (Jones et al, 2020).…”

Section: F I G U R Esupporting

confidence: 89%

Bayesian Nonparametric Modelling of Multiple Graphs with an Application to Ethnic Metabolic Differences

Molinari

Cremaschi

Chaturvedi³

et al. 2022

Journal of the Royal Statistical Society Series C: Applied Statistics

View full text Add to dashboard Cite

We propose a novel approach to the estimation of multiple Gaussian graphical models (GGMs) to analyse patterns of association among a set of metabolites, under different conditions. Our motivating application is the SABRE (Southall And Brent REvisited) study, a triethnic cohort study conducted in the United Kingdom. Through joint modelling of pattern of association corresponding to different ethnic groups, we are able to identify potential ethnic differences in metabolite levels and associations, with the aim of gaining a better understanding of different risk of cardiometabolic disorders across ethnicities. We model the relationship between a set of metabolites and a set of covariates through a sparse seemingly unrelated regressions model and we use GGMs to represent the conditional dependence structure among metabolites. We specify a dependent generalised Dirichlet process prior on the edge inclusion probabilities to borrow strength across groups and we adopt the horseshoe prior to identify important biomarkers. Inference is performed via Markov chain Monte Carlo.

show abstract

Section: F I G U R Esupporting

confidence: 89%

Bayesian Nonparametric Modelling of Multiple Graphs with an Application to Ethnic Metabolic Differences

Molinari

Cremaschi

Chaturvedi³

et al. 2022

Journal of the Royal Statistical Society Series C: Applied Statistics

View full text Add to dashboard Cite

show abstract

“…However, paradoxically, despite lower cardiorespiratory fitness and fat oxidation during normoglycemic South Asian men had a lower mitochondrial to nuclear DNA ratio, but 349 similar expression of oxidative, lipid and glucose metabolism genes in skeletal muscle (88).…”

mentioning

confidence: 87%

Type 2 diabetes in migrant south Asians: mechanisms, mitigation, and management

Sattar

Gill

2015

The Lancet Diabetes & Endocrinology

205

195

View full text Add to dashboard Cite

in an accessible manner and encouraged to maintain lower body weights and higher 54 physical activity levels throughout the life course. 55• Current activity levels in migrant South Asians are low. Thus innovative culturally 56 appropriate interventions to increase physical activity need to be developed and 57 implemented for both South Asian males and females. 58• South Asians appear to progress more rapidly from 'pre-diabetes' to diabetes than

show abstract

“…Notably, one of those studies demonstrated greater skeletal muscle mass loss during diet-induced weight loss in European American in comparison to African American women who preserved muscle mass 85 . Another study found different metabolic adaptations for South Asian men compared to European men during energy restriction, i.e., improved glucose disposal rate and decreased shift from glucose to lipid oxidation in South Asians 79 .…”

Section: Studies With Only One Diet Group or Non-rctsmentioning

confidence: 96%

“…Ten studies that accounted for race and/or ethnicity in their analyses either examined the pre-post effects of a dietary intervention such as low-fat, high-fiber, fruits, and vegetables diet 77 , verylow calorie diet 78,79 , high-fat high-calorie diet 80 , or alternate-day fasting 81 ; or were a post-diet analysis of an individualized diet 82 , crossover studies of sodium dietary restriction (one dietary intervention) with sodium or placebo supplementation 83,84 , or studies examining one dietary intervention with different physical activity conditioning 85,86 . Notably, one of those studies demonstrated greater skeletal muscle mass loss during diet-induced weight loss in European American in comparison to African American women who preserved muscle mass 85 .…”

Section: Studies With Only One Diet Group or Non-rctsmentioning

confidence: 99%

A Systematic Review of Literature on the Representation of Racial and Ethnic Minority Groups in Clinical Nutrition Interventions

Dhillon

Jacobs²,

Ortiz

et al. 2022

Advances in Nutrition

View full text Add to dashboard Cite

The racial and ethnic disparities in diet-related chronic diseases are major concerns. This systematic review examines the extent to which diet-induced changes in health outcomes such as cardiometabolic, inflammation, cancer, bone health, kidney function outcomes etc., have been reported and discussed by race or ethnicity in randomized trials with 2 or more diet arms that recruited both minority and non-Hispanic White groups. Databases i.e., PubMed, Cochrane library and Web of Science were searched up to August 2021. Thirty-four studies that discussed effects of defined dietary interventions on health outcomes by racial or ethnic minority group vs. non-Hispanic Whites were included in the systematic review (PROSPERO registration number: CRD42021229256). Acute trials and those with one diet arm that accounted for race or ethnicity in their analyses, and studies that focused on a single racial or ethnic group were discussed separately. Most studies were conducted in Black vs. White adults testing effects of energy restriction, macronutrient modification, sodium reduction, or variations of the Dietary Approaches to Stop Hypertension (DASH) diet on cardiometabolic outcomes. There was limited focus on other minority groups. Evidence suggests greater blood pressure reduction for Black adults compared to Whites particularly on DASH (or similar) diets. Overall, there was limited consideration for group-specific eating patterns and diet acceptability. Overall risk of bias was low. With emerging precision nutrition initiatives that aim to optimize metabolic responses in population subgroups through tailored approaches, it is imperative to ensure adequate representation of racial and ethnic subgroups for addressing health disparities. Factors that help explain variability in responses such as socioecological context should be included and adequately powered. Given the racial and ethnic disparities in chronic diseases, studying the adoption, maintenance, and effectiveness of dietary interventions on health outcomes among different groups is critical for developing approaches that can mitigate diet-related health disparities.

show abstract

Middle-aged overweight South Asian men exhibit a different metabolic adaptation to short-term energy restriction compared with Europeans

Abstract: Dutch trial registry ( www.trialregister.nl ), trial number NTR 2473.

Cited by 7 publications

References 52 publications

Bayesian Nonparametric Modelling of Multiple Graphs with an Application to Ethnic Metabolic Differences

Bayesian Nonparametric Modelling of Multiple Graphs with an Application to Ethnic Metabolic Differences

Type 2 diabetes in migrant south Asians: mechanisms, mitigation, and management

A Systematic Review of Literature on the Representation of Racial and Ethnic Minority Groups in Clinical Nutrition Interventions

Contact Info

Product

Resources

About