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van der Rhee M, Oosterman JE, Wopereis S, van der Horst GTJ, Chaves I, Dollé MET, Burdorf A, van Kerkhof LWM, der Holst HMLV. Personalized sleep and nutritional strategies to combat adverse effects of night shift work: a controlled intervention protocol. BMC Public Health 2024; 24:2555. [PMID: 39300419 DOI: 10.1186/s12889-024-20022-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 09/09/2024] [Indexed: 09/22/2024] Open
Abstract
BACKGROUND Working during the night interferes with the timing of normal daily activities and is associated with an increased risk of chronic diseases. Under controlled experimental conditions, interventions focusing on sleep and nutrition can mitigate the short-term adverse effects of shift work. However, it is unclear how these results translate to real-life, how they can be targeted to individual conditions, and how they relate to long-term health. Therefore, the current study aims to implement a personalized sleep and nutritional intervention among night shift workers in the field. METHODS A non-blinded controlled intervention study is used, consisting of a run-in period, an intervention of 3 months, post-intervention measurements, and a follow-up after 12 months. Three study arms are included: sleep intervention, nutritional intervention, and control group (n = 25 each). Participants are healthy 18-60-year male night shift workers, with at least one year of experience in night shift work. Information from the run-in period will be used to personalize the interventions. The main outcomes are sleep measurements and continuous interstitial glucose levels. Furthermore, general health biomarkers and parameters will be determined to further evaluate effects on long-term health. DISCUSSION This study aims to mitigate negative health consequences associated with night shift work by introducing two personalized preventive interventions. If proven effective, the personalized interventions may serve as practical solutions that can have a meaningful impact on the sustainable health and employability of night shift workers. This study will thereby contribute to the current need for high-quality data on preventative strategies for night shift work in a real-life context. TRIAL REGISTRATION This trial has been registered under ClinicalTrials.gov Identifier NCT06147089. Registered 27 November 2023.
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Affiliation(s)
- Maaike van der Rhee
- Department of Public Health, Erasmus MC, Rotterdam, 3000 CA, The Netherlands.
| | - Johanneke E Oosterman
- Research Group Microbiology & Systems Biology, TNO, Organization for Applied Scientific Research, Leiden, 2333 BE, The Netherlands
| | - Suzan Wopereis
- Research Group Microbiology & Systems Biology, TNO, Organization for Applied Scientific Research, Leiden, 2333 BE, The Netherlands
| | | | - Inês Chaves
- Department Molecular Genetics, Erasmus MC, Rotterdam, 3000 CA, The Netherlands
| | - Martijn E T Dollé
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, 3721 MA, The Netherlands
| | - Alex Burdorf
- Department of Public Health, Erasmus MC, Rotterdam, 3000 CA, The Netherlands
| | - Linda W M van Kerkhof
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, 3721 MA, The Netherlands
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Kim KJ, Kim JY. Polyphenols in foods: a potential strategy for preventing and managing the postprandial hyperglycemic response. Food Sci Biotechnol 2024; 33:2699-2713. [PMID: 39184987 PMCID: PMC11339232 DOI: 10.1007/s10068-024-01607-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 05/05/2024] [Accepted: 05/16/2024] [Indexed: 08/27/2024] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a significant health risk worldwide, and effective management strategies are needed. Polyphenols exhibit diverse biological functions, are abundant in various plants, and influence carbohydrate digestion and absorption. This review provides a comprehensive overview of clinical evidence regarding the relationship between dietary polyphenols and the postprandial hyperglycemic response. Human intervention studies have demonstrated the benefits of polyphenol-rich foods in improving glucose and insulin metabolism, underscoring their role in preventing T2DM. These findings highlight the potential of polyphenol-rich foods for managing hyperglycemia and mitigating T2DM risk and provide insight into effective dietary strategies for glycemic control and overall health.
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Affiliation(s)
- Kyeong Jin Kim
- Department of Nano Bio Engineering, Seoul National University of Science and Technology, 232, Gongneung-ro, Nowon-gu, Seoul, 01811 Republic of Korea
| | - Ji Yeon Kim
- Department of Food Science and Biotechnology, Seoul National University of Science and Technology, 232, Gongneung-ro, Nowon-gu, Seoul, 01811 Republic of Korea
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Duarte SG, Donado-Pestana CM, More TH, Rodrigues L, Hiller K, Fiamoncini J. Dry blood spots as a sampling strategy to identify insulin resistance markers during a dietary challenge. GENES & NUTRITION 2024; 19:18. [PMID: 39210266 PMCID: PMC11363552 DOI: 10.1186/s12263-024-00752-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Accepted: 07/30/2024] [Indexed: 09/04/2024]
Abstract
This study aimed to identify markers of postprandial dysglycemia in the blood of self-described healthy individuals using dry blood spots (DBS) as a sampling strategy. A total of 54 volunteers, including 31 women, participated in a dietary challenge. They consumed a high-fat, high-sugar mixed meal and underwent multiple blood sampling over the course of 150 min to track their postprandial responses. Blood glucose levels were monitored with a portable glucometer and individuals were classified into two groups based on the glucose area under the curve (AUC): High-AUC (H-AUC) and Low-AUC (L-AUC). DBS sampling was performed at the same time points as the assessment of glycemia using Whatman 903 Protein Saver filter paper. A gas chromatography-mass spectrometry-based metabolite profiling was conducted in the DBS samples to assess postprandial changes in blood metabolome. Higher concentrations of metabolites associated with insulin resistance were observed in individuals from the H-AUC group, including sugars and sugar-derived products such as fructose and threonic acid, as well as organic acids and fatty acids such as succinate and stearic acid. Several metabolites detected in the GC-MS analysis remained unidentified, indicating that other markers of hyperglycemia remain to be discovered in DBS. Based on these observations, we demonstrated that the use of DBS as a non-invasive and inexpensive sampling tool allows the identification of metabolites markers of dysglycemia in the postprandial period.
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Affiliation(s)
- Stephany Gonçalves Duarte
- Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, Av. Prof. Lineu Prestes, 580, Bloco 14, São Paulo, SP, CEP 05508-900, Brazil
| | - Carlos M Donado-Pestana
- Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, Av. Prof. Lineu Prestes, 580, Bloco 14, São Paulo, SP, CEP 05508-900, Brazil
- Food Research Center - FoRC, University of São Paulo, São Paulo, Brazil
| | - Tushar H More
- Braunschweig Integrated Centre of Systems Biology, Technische Universität Braunschweig, Braunschweig, Germany
| | - Larissa Rodrigues
- Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, Av. Prof. Lineu Prestes, 580, Bloco 14, São Paulo, SP, CEP 05508-900, Brazil
| | - Karsten Hiller
- Braunschweig Integrated Centre of Systems Biology, Technische Universität Braunschweig, Braunschweig, Germany
| | - Jarlei Fiamoncini
- Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, Av. Prof. Lineu Prestes, 580, Bloco 14, São Paulo, SP, CEP 05508-900, Brazil.
- Food Research Center - FoRC, University of São Paulo, São Paulo, Brazil.
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Das SK, Kyle TK, Whigham LD. The need for a prognostic biomarker and challenge test for phenotypic flexibility. Nutr Diabetes 2024; 14:70. [PMID: 39198423 PMCID: PMC11358265 DOI: 10.1038/s41387-024-00329-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 04/19/2024] [Accepted: 08/20/2024] [Indexed: 09/01/2024] Open
Affiliation(s)
- Sai Krupa Das
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | | | - Leah D Whigham
- Center for Community Health Impact, The University of Texas Health Science Center at Houston, School of Public Health in El Paso, El Paso, TX, USA.
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Aubin A, Hornero-Ramirez H, Ranaivo H, Simon C, Van Den Berghe L, Favier NF, Dussous I, Roger L, Laville M, Béra-Maillet C, Doré J, Caussy C, Nazare JA. Assessing metabolic flexibility response to a multifibre diet: a randomised-controlled trial. J Hum Nutr Diet 2024. [PMID: 39138876 DOI: 10.1111/jhn.13350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 06/30/2024] [Indexed: 08/15/2024]
Abstract
INTRODUCTION Metabolic flexibility (MetF), defined as the ability to switch between fat and glucose oxidation, is increasingly recognised as a critical marker for assessing responses to dietary interventions. Previously, we showed that the consumption of multifibre bread improved insulin sensitivity and reduced low-density lipoprotein cholesterol (LDLc) levels in overweight and obese individuals. As a secondary objective, we aimed to explore whether our intervention could also improve MetF. METHODS In this study, 39 subjects at cardiometabolic risk participated in a double-blind, randomised, crossover trial lasting 8 weeks, repeated twice. During each phase, participants consumed either 150 g of standard bread daily or bread enriched with a mixture of seven dietary fibres. MetF response was assessed using a mixed-meal tolerance test (MMTT), analysing changes in respiratory quotient (∆RQ) measured using indirect calorimetry. RESULTS Although there were no significant differences in ∆RQ changes induced by dietary fibre between the two diets, these changes were positively correlated with postprandial triglyceride excursion (∆TG) at baseline. Subgroup analysis of baseline fasting and postprandial plasma metabolites was conducted to characterise MetF responders. These responders exhibited higher baseline fasting LDLc levels and greater post-MMTT ∆TG. CONCLUSION In conclusion, although dietary fibres did not directly impact MetF in this study, our findings highlight potential determinants of MetF response, warranting further investigation in dedicated future interventions.
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Affiliation(s)
- Adrien Aubin
- Centre de Recherche En Nutrition Humaine Rhône-Alpes, Univ-Lyon, CarMeN Laboratory, Université Claude Bernard Lyon1, Hospices Civils de Lyon, Cens, Fcrin/force Network, Pierre Bénite, France
- Univ-Lyon, CarMeN Laboratory, Inserm, Inrae, Université Claude Bernard Lyon-1, Oullins, France
- Département Endocrinologie, Diabète et Nutrition, Hospices Civils de Lyon, Hôpital Lyon Sud, Pierre-Bénite, France
| | - Hugo Hornero-Ramirez
- Centre de Recherche En Nutrition Humaine Rhône-Alpes, Univ-Lyon, CarMeN Laboratory, Université Claude Bernard Lyon1, Hospices Civils de Lyon, Cens, Fcrin/force Network, Pierre Bénite, France
- Univ-Lyon, CarMeN Laboratory, Inserm, Inrae, Université Claude Bernard Lyon-1, Oullins, France
| | - Harimalala Ranaivo
- Centre de Recherche En Nutrition Humaine Rhône-Alpes, Univ-Lyon, CarMeN Laboratory, Université Claude Bernard Lyon1, Hospices Civils de Lyon, Cens, Fcrin/force Network, Pierre Bénite, France
- Univ-Lyon, CarMeN Laboratory, Inserm, Inrae, Université Claude Bernard Lyon-1, Oullins, France
| | - Chantal Simon
- Centre de Recherche En Nutrition Humaine Rhône-Alpes, Univ-Lyon, CarMeN Laboratory, Université Claude Bernard Lyon1, Hospices Civils de Lyon, Cens, Fcrin/force Network, Pierre Bénite, France
- Univ-Lyon, CarMeN Laboratory, Inserm, Inrae, Université Claude Bernard Lyon-1, Oullins, France
| | - Laurie Van Den Berghe
- Centre de Recherche En Nutrition Humaine Rhône-Alpes, Univ-Lyon, CarMeN Laboratory, Université Claude Bernard Lyon1, Hospices Civils de Lyon, Cens, Fcrin/force Network, Pierre Bénite, France
- Univ-Lyon, CarMeN Laboratory, Inserm, Inrae, Université Claude Bernard Lyon-1, Oullins, France
| | - Nathalie Feugier Favier
- Centre de Recherche En Nutrition Humaine Rhône-Alpes, Univ-Lyon, CarMeN Laboratory, Université Claude Bernard Lyon1, Hospices Civils de Lyon, Cens, Fcrin/force Network, Pierre Bénite, France
- Univ-Lyon, CarMeN Laboratory, Inserm, Inrae, Université Claude Bernard Lyon-1, Oullins, France
| | | | | | - Martine Laville
- Centre de Recherche En Nutrition Humaine Rhône-Alpes, Univ-Lyon, CarMeN Laboratory, Université Claude Bernard Lyon1, Hospices Civils de Lyon, Cens, Fcrin/force Network, Pierre Bénite, France
- Univ-Lyon, CarMeN Laboratory, Inserm, Inrae, Université Claude Bernard Lyon-1, Oullins, France
| | - Christel Béra-Maillet
- Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, Jouy-en-Josas, France
| | - Joël Doré
- Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, Jouy-en-Josas, France
- Université, Paris-Saclay, INRAE, MetaGenoPolis, Jouy-en-Josas, France
| | - Cyrielle Caussy
- Centre de Recherche En Nutrition Humaine Rhône-Alpes, Univ-Lyon, CarMeN Laboratory, Université Claude Bernard Lyon1, Hospices Civils de Lyon, Cens, Fcrin/force Network, Pierre Bénite, France
- Univ-Lyon, CarMeN Laboratory, Inserm, Inrae, Université Claude Bernard Lyon-1, Oullins, France
- Département Endocrinologie, Diabète et Nutrition, Hospices Civils de Lyon, Hôpital Lyon Sud, Pierre-Bénite, France
| | - Julie-Anne Nazare
- Centre de Recherche En Nutrition Humaine Rhône-Alpes, Univ-Lyon, CarMeN Laboratory, Université Claude Bernard Lyon1, Hospices Civils de Lyon, Cens, Fcrin/force Network, Pierre Bénite, France
- Univ-Lyon, CarMeN Laboratory, Inserm, Inrae, Université Claude Bernard Lyon-1, Oullins, France
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Mitchell CM, Stinson EJ, Chang DC, Krakoff J. A mixed meal tolerance test predicts onset of type 2 diabetes in Southwestern Indigenous adults. Nutr Diabetes 2024; 14:50. [PMID: 38987291 PMCID: PMC11237083 DOI: 10.1038/s41387-024-00269-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 01/05/2024] [Accepted: 02/23/2024] [Indexed: 07/12/2024] Open
Abstract
BACKGROUND/OBJECTIVE To identify predictors of incident type 2 diabetes using a mixed meal tolerance test (MMTT). METHODS Adult Indigenous Americans without diabetes (n = 501) from a longitudinal cohort underwent at baseline a 4-h MMTT, measures of body composition, an oral glucose tolerance test, an intravenous glucose tolerance test for acute insulin response (AIR), and a hyperinsulinemic-euglycemic clamp for insulin action (M). Plasma glucose responses from the MMTT were quantified by the total and incremental area under the curve (AUC/iAUC). RESULTS At follow-up (median time 9.6 [inter-quartile range: 5.6-13.5] years), 169 participants were diagnosed with diabetes. Unadjusted Cox proportional hazards models, glucose AUC180-min (HR: 1.98, 95% CI: 1.67, 2.34, p < 0.0001), AUC240-min (HR: 1.93, 95% CI: 1.62, 2.31, p < 0.0001), and iAUC180-min (HR: 1.43, 95% CI: 1.20, 1.71, p < 0.0001) were associated with an increased risk of diabetes. After adjustment for covariates (age, sex, body fat percentage, M, AIR, Indigenous American heritage) in three subsequent models, AUC180-min (HR: 1.44, 95% CI: 1.10, 1.88, p = 0.007) and AUC240-min (HR: 1.41, 95% CI: 1.09, 1.84, p < 0.01) remained associated with increased risk of diabetes. CONCLUSIONS Glucose responses to a mixed meal predicted the development of type 2 diabetes. This indicates that a mixed nutritional challenge provides important information on disease risk. CLINICAL TRIAL REGISTRY ClinicalTrials.gov identifier : NCT00340132, NCT00339482.
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Affiliation(s)
- Cassie M Mitchell
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA.
- Harold Hamm Diabetes Center, University of Oklahoma Health Sciences Center, Oklahoma City, USA.
| | - Emma J Stinson
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Douglas C Chang
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Jonathan Krakoff
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
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Eveleens Maarse BC, Eggink HM, Warnke I, Bijlsma S, van den Broek TJ, Oosterman JE, Caspers MPM, Sybesma W, Gal P, van Kraaij SJW, Schuren FHJ, Moerland M, Hoevenaars FPM. Impact of fibre supplementation on microbiome and resilience in healthy participants: A randomized, placebo-controlled clinical trial. Nutr Metab Cardiovasc Dis 2024; 34:1416-1426. [PMID: 38499450 DOI: 10.1016/j.numecd.2024.01.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 01/24/2024] [Accepted: 01/25/2024] [Indexed: 03/20/2024]
Abstract
BACKGROUND AND AIMS The gut microbiome exerts important roles in health, e.g., functions in metabolism and immunology. These functions are often exerted via short-chain fatty acid (SCFA) production by gut bacteria. Studies demonstrating causal relationships between interventions targeting the microbiome and clinical outcomes are limited. This study aimed to show a causal relationship between microbiome modulation through fibre intervention and health. METHODS AND RESULTS This randomized, double-blind, cross-over study included 65 healthy subjects, aged 45-70 years, with increased metabolic risk (i.e., body mass index [BMI] 25-30 kg/m2, low to moderate daily dietary fibre intake, <30g/day). Subjects took daily a fibre mixture of Acacia gum and carrot powder or placebo for 12 weeks, with an 8-week wash-out period. Faecal samples for measurement of SCFAs and microbiome analysis were collected every 4 weeks. Before and after each intervention period subjects underwent the mixed-meal PhenFlex challenge Test (PFT). Health effects were expressed as resilience to the stressors of the PFT and as fasting metabolic and inflammatory state. The fibre mixture exerted microbiome modulation, with an increase in β-diversity (p < 0.001). α-diversity was lower during fibre mixture intake compared to placebo after 4, 8 and 12 weeks (p = 0.002; p = 0.012; p = 0.031). There was no effect observed on faecal SCFA concentrations, nor on any of the primary clinical outcomes (Inflammatory resilience: p = 0.605, Metabolic resilience: p = 0.485). CONCLUSION Although the intervention exerted effects on gut microbiome composition, no effects on SCFA production, on resilience or fasting metabolic and inflammatory state were observed in this cohort. REGISTRATION NUMBER CLINICALTRIALS.GOV: NCT04829396.
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Affiliation(s)
- Boukje C Eveleens Maarse
- Centre for Human Drug Research, Leiden, the Netherlands; Leiden University Medical Center, Leiden, the Netherlands
| | - Hannah M Eggink
- TNO, Netherlands Organisation for Applied Scientific Research, Leiden, the Netherlands
| | - Ines Warnke
- dsm-firmenich, CH-4303, Kaiseraugst, Switzerland
| | - Sabina Bijlsma
- TNO, Netherlands Organisation for Applied Scientific Research, Leiden, the Netherlands
| | - Tim J van den Broek
- TNO, Netherlands Organisation for Applied Scientific Research, Leiden, the Netherlands
| | - Johanneke E Oosterman
- TNO, Netherlands Organisation for Applied Scientific Research, Leiden, the Netherlands
| | - Martien P M Caspers
- TNO, Netherlands Organisation for Applied Scientific Research, Leiden, the Netherlands
| | | | - Pim Gal
- Centre for Human Drug Research, Leiden, the Netherlands; Leiden University Medical Center, Leiden, the Netherlands
| | - Sebastiaan J W van Kraaij
- Centre for Human Drug Research, Leiden, the Netherlands; Leiden University Medical Center, Leiden, the Netherlands
| | - Frank H J Schuren
- TNO, Netherlands Organisation for Applied Scientific Research, Leiden, the Netherlands
| | - Matthijs Moerland
- Centre for Human Drug Research, Leiden, the Netherlands; Leiden University Medical Center, Leiden, the Netherlands
| | - Femke P M Hoevenaars
- TNO, Netherlands Organisation for Applied Scientific Research, Leiden, the Netherlands.
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Yan S, Li L, Horner D, Ebrahimi P, Chawes B, Dragsted LO, Rasmussen MA, Smilde AK, Acar E. Characterizing human postprandial metabolic response using multiway data analysis. Metabolomics 2024; 20:50. [PMID: 38722393 PMCID: PMC11082008 DOI: 10.1007/s11306-024-02109-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 03/19/2024] [Indexed: 05/12/2024]
Abstract
INTRODUCTION Analysis of time-resolved postprandial metabolomics data can improve our understanding of the human metabolism by revealing similarities and differences in postprandial responses of individuals. Traditional data analysis methods often rely on data summaries or univariate approaches focusing on one metabolite at a time. OBJECTIVES Our goal is to provide a comprehensive picture in terms of the changes in the human metabolism in response to a meal challenge test, by revealing static and dynamic markers of phenotypes, i.e., subject stratifications, related clusters of metabolites, and their temporal profiles. METHODS We analyze Nuclear Magnetic Resonance (NMR) spectroscopy measurements of plasma samples collected during a meal challenge test from 299 individuals from the COPSAC2000 cohort using a Nightingale NMR panel at the fasting and postprandial states (15, 30, 60, 90, 120, 150, 240 min). We investigate the postprandial dynamics of the metabolism as reflected in the dynamic behaviour of the measured metabolites. The data is arranged as a three-way array: subjects by metabolites by time. We analyze the fasting state data to reveal static patterns of subject group differences using principal component analysis (PCA), and fasting state-corrected postprandial data using the CANDECOMP/PARAFAC (CP) tensor factorization to reveal dynamic markers of group differences. RESULTS Our analysis reveals dynamic markers consisting of certain metabolite groups and their temporal profiles showing differences among males according to their body mass index (BMI) in response to the meal challenge. We also show that certain lipoproteins relate to the group difference differently in the fasting vs. dynamic state. Furthermore, while similar dynamic patterns are observed in males and females, the BMI-related group difference is observed only in males in the dynamic state. CONCLUSION The CP model is an effective approach to analyze time-resolved postprandial metabolomics data, and provides a compact but a comprehensive summary of the postprandial data revealing replicable and interpretable dynamic markers crucial to advance our understanding of changes in the metabolism in response to a meal challenge.
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Affiliation(s)
- Shi Yan
- Department of Data Science and Knowledge Discovery, Simula Metropolitan Center for Digital Engineering, Oslo, Norway
| | - Lu Li
- Department of Data Science and Knowledge Discovery, Simula Metropolitan Center for Digital Engineering, Oslo, Norway
| | - David Horner
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Parvaneh Ebrahimi
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
- Department of Food Science, University of Copenhagen, Copenhagen, Denmark
| | - Bo Chawes
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Lars O Dragsted
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Morten A Rasmussen
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
- Department of Food Science, University of Copenhagen, Copenhagen, Denmark
| | - Age K Smilde
- Department of Data Science and Knowledge Discovery, Simula Metropolitan Center for Digital Engineering, Oslo, Norway
- Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - Evrim Acar
- Department of Data Science and Knowledge Discovery, Simula Metropolitan Center for Digital Engineering, Oslo, Norway.
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O’Donovan SD, Rundle M, Thomas EL, Bell JD, Frost G, Jacobs DM, Wanders A, de Vries R, Mariman EC, van Baak MA, Sterkman L, Nieuwdorp M, Groen AK, Arts IC, van Riel NA, Afman LA. Quantifying the effect of nutritional interventions on metabolic resilience using personalized computational models. iScience 2024; 27:109362. [PMID: 38500825 PMCID: PMC10946327 DOI: 10.1016/j.isci.2024.109362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 10/27/2023] [Accepted: 02/26/2024] [Indexed: 03/20/2024] Open
Abstract
The manifestation of metabolic deteriorations that accompany overweight and obesity can differ greatly between individuals, giving rise to a highly heterogeneous population. This inter-individual variation can impede both the provision and assessment of nutritional interventions as multiple aspects of metabolic health should be considered at once. Here, we apply the Mixed Meal Model, a physiology-based computational model, to characterize an individual's metabolic health in silico. A population of 342 personalized models were generated using data for individuals with overweight and obesity from three independent intervention studies, demonstrating a strong relationship between the model-derived metric of insulin resistance (ρ = 0.67, p < 0.05) and the gold-standard hyperinsulinemic-euglycemic clamp. The model is also shown to quantify liver fat accumulation and β-cell functionality. Moreover, we show that personalized Mixed Meal Models can be used to evaluate the impact of a dietary intervention on multiple aspects of metabolic health at the individual level.
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Affiliation(s)
- Shauna D. O’Donovan
- Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
- Eindhoven Artificial Intelligence Systems Institute (EAISI), Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Milena Rundle
- Division of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Imperial College London, London, UK
| | - E. Louise Thomas
- Research Center for Optimal Health, School of Life Sciences, University of Westminster, London, the United Kingdom
| | - Jimmy D. Bell
- Research Center for Optimal Health, School of Life Sciences, University of Westminster, London, the United Kingdom
| | - Gary Frost
- Division of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Imperial College London, London, UK
| | - Doris M. Jacobs
- Science & Technology, Unilever Foods Innovation Center, Wageningen, the Netherlands
| | - Anne Wanders
- Science & Technology, Unilever Foods Innovation Center, Wageningen, the Netherlands
| | - Ryan de Vries
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Edwin C.M. Mariman
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | - Marleen A. van Baak
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | - Luc Sterkman
- Caelus Pharmaceuticals, Zegveld, the Netherlands
| | - Max Nieuwdorp
- Vascular Medicine, Amsterdam UMC Locatie, AMC, Amsterdam, the Netherlands
| | - Albert K. Groen
- Vascular Medicine, Amsterdam UMC Locatie, AMC, Amsterdam, the Netherlands
| | - Ilja C.W. Arts
- Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, the Netherlands
| | - Natal A.W. van Riel
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
- Eindhoven Artificial Intelligence Systems Institute (EAISI), Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Lydia A. Afman
- Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
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Perry AS, Piaggi P, Huang S, Nayor M, Freedman J, North K, Below J, Clish C, Murthy VL, Krakoff J, Shah RV. Human metabolic chambers reveal a coordinated metabolic-physiologic response to nutrition. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.08.24305087. [PMID: 38645000 PMCID: PMC11030300 DOI: 10.1101/2024.04.08.24305087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
The emerging field of precision nutrition is based on the notion that inter-individual responses across diets of different calorie-macronutrient content may contribute to inter-individual differences in metabolism, adiposity, and weight gain. Free-living diet studies have been traditionally challenged by difficulties in controlling adherence to prescribed calories and macronutrient content and rarely allow a period of metabolic stability prior to metabolic measures (to minimize influences of weight changes). In this context, key physiologic measures central to precision nutrition responses may be most precisely quantified via whole room indirect calorimetry over 24-h, in which precise control of activity and nutrition can be achieved. In addition, these studies represent unique "N of 1" human crossover metabolic-physiologic experiments during which specific molecular pathways central to nutrient metabolism may be discerned. Here, we quantified 263 circulating metabolites during a ≈40-day inpatient admission in which up to 94 participants underwent seven monitored 24-h nutritional interventions of differing macronutrient composition in a whole-room indirect calorimeter to capture precision metabolic responses. Broadly, we observed heterogenous responses in metabolites across dietary chambers, with the exception of carnitines which tracked with 24-h respiratory quotient. We identified excursions in shared metabolic species (e.g., carnitines, glycerophospholipids, amino acids) that mapped onto gold-standard calorimetric measures of substrate oxidation preference and lipid availability. These findings support a coordinated metabolic-physiologic response to nutrition, highlighting the relevance of these controlled settings to uncover biological pathways of energy utilization during precision nutrition studies.
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11
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Stinson EJ, Mitchell CM, Looker HC, Krakoff J, Chang DC. Higher glucose and insulin responses to a mixed meal are associated with increased risk of diabetic retinopathy in Indigenous Americans. J Endocrinol Invest 2024; 47:699-707. [PMID: 37684485 DOI: 10.1007/s40618-023-02187-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 08/24/2023] [Indexed: 09/10/2023]
Abstract
PURPOSE Prior research has focused on glucose/insulin responses to meal challenges to create personalized diets to improve health, though it is unclear if these responses predict chronic diseases. We aimed to identify glucose and insulin responses to a mixed meal tolerance test (MMTT) that predict the development of diabetic retinopathy (DR) and compare the predictive abilities with the oral glucose tolerance test (OGTT). METHODS Indigenous American adults without diabetes (n = 168) underwent a 4-h MMTT, body composition assessment, and a 3-h OGTT at baseline. During follow-up (median 13.4 years), DR was diagnosed by direct ophthalmoscopy (n = 28) after onset of type 2 diabetes. Total and incremental area under the curve (AUC and iAUC) were calculated from glucose/insulin responses after the MMTT and OGTT. RESULTS In separate Cox proportional hazards models adjusted for age, sex, and body fat (%), MMTT glucose AUCs (180-min and 240-min) and iAUC (180-min) predicted DR (HR 1.50, 95% CI 1.06, 2.12; HR 1.50, 95% CI 1.05, 2.14; HR 1.58, 95% CI 1.01, 2.46). The predictive abilities were better than the fasting OGTT glucose (p < 0.01) but similar to the 120-min OGTT glucose (p = 0.53). MMTT insulin AUCs (180-min and 240-min) and iAUC (180-min) also predicted DR (HR 1.65, 95% CI 1.09, 2.51; HR 1.58, 95% CI 1.00, 2.35; HR 1.53 95% CI 1.06, 2.22) while insulin AUC and iAUC from the OGTT did not (p > 0.05). CONCLUSIONS Higher MMTT glucose and insulin responses predicted DR and were comparable to the OGTT, supporting the use of a meal challenge for precision nutrition. TRIAL REGISTRATIONS Clinical Trial Registry: ClinicalTrials.gov identifier: NCT00340132, NCT00339482.
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Affiliation(s)
- E J Stinson
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212 N. 16th Street, Phoenix, AZ, 85016, USA
| | - C M Mitchell
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212 N. 16th Street, Phoenix, AZ, 85016, USA
| | - H C Looker
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212 N. 16th Street, Phoenix, AZ, 85016, USA
| | - J Krakoff
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212 N. 16th Street, Phoenix, AZ, 85016, USA
| | - D C Chang
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 4212 N. 16th Street, Phoenix, AZ, 85016, USA.
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12
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Ho E, Drake VJ, Michels AJ, Nkrumah-Elie YM, Brown LL, Scott JM, Newman JW, Shukitt-Hale B, Soumyanath A, Chilton FH, Lindemann SR, Shao A, Mitmesser SH. Perspective: Council for Responsible Nutrition Science in Session. Optimizing Health with Nutrition-Opportunities, Gaps, and the Future. Adv Nutr 2023; 14:948-958. [PMID: 37270030 PMCID: PMC10509435 DOI: 10.1016/j.advnut.2023.05.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/20/2023] [Accepted: 05/30/2023] [Indexed: 06/05/2023] Open
Abstract
Achieving optimal health is an aspirational goal for the population, yet the definition of health remains unclear. The role of nutrition in health has evolved beyond correcting malnutrition and specific deficiencies and has begun to focus more on achieving and maintaining 'optimal' health through nutrition. As such, the Council for Responsible Nutrition held its October 2022 Science in Session conference to advance this concept. Here, we summarize and discuss the findings of their Optimizing Health through Nutrition - Opportunities and Challenges workshop, including several gaps that need to be addressed to advance progress in the field. Defining and evaluating various indices of optimal health will require overcoming these key gaps. For example, there is a strong need to develop better biomarkers of nutrient status, including more accurate markers of food intake, as well as biomarkers of optimal health that account for maintaining resilience-the ability to recover from or respond to stressors without loss to physical and cognitive performance. In addition, there is a need to identify factors that drive individualized responses to nutrition, including genotype, metabotypes, and the gut microbiome, and to realize the opportunity of precision nutrition for optimal health. This review outlines hallmarks of resilience, provides current examples of nutritional factors to optimize cognitive and performance resilience, and gives an overview of various genetic, metabolic, and microbiome determinants of individualized responses.
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Affiliation(s)
- Emily Ho
- Linus Pauling Institute, Oregon State University, Corvallis, Oregon; Nutrition Program, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon.
| | - Victoria J Drake
- Linus Pauling Institute, Oregon State University, Corvallis, Oregon
| | | | | | - LaVerne L Brown
- National Institutes of Health, Office of Dietary Supplements, Bethesda, Maryland
| | - Jonathan M Scott
- Consortium for Health and Military Performance, Department of Military and Emergency Medicine, F. Edward Hébert School of Medicine, Uniformed Services University, Bethesda, Maryland
| | - John W Newman
- United States Department of Agriculture, Agricultural Research Service, Western Human Nutrition Research Center, Davis, California
| | - Barbara Shukitt-Hale
- United States Department of Agriculture, Agricultural Research Service, Human Nutrition Research Center on Aging at Tufts University, Boston, Massachusetts
| | - Amala Soumyanath
- BENFRA Botanical Dietary Supplements Research Center, Department of Neurology, Oregon Health and Science University, Portland, Oregon
| | - Floyd H Chilton
- Center for Precision Nutrition and Wellness, University of Arizona, Tucson, Arizona; School of Nutritional Sciences and Wellness, College of Agriculture and Life Sciences, University of Arizona, Tucson, Arizona
| | - Stephen R Lindemann
- Whistler Center for Carbohydrate Research, Department of Food Science, Purdue University, West Lafayette, Indiana
| | - Andrew Shao
- ChromaDex External Research Program, Los Angeles, California
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13
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Wopereis S. Phenotypic flexibility in nutrition research to quantify human variability: building the bridge to personalised nutrition. Proc Nutr Soc 2023; 82:346-358. [PMID: 36503652 DOI: 10.1017/s0029665122002853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Phenotypic flexibility is a methodology that accurately assesses health in terms of mechanistic understanding of the interrelationship of multiple metabolic and physiological processes. This starts from the perspective that a healthy person is better able to cope with changes in environmental stressors that affect homeostasis compared to people with a compromised health state. The term 'phenotypic flexibility' expresses the cumulative ability of overarching physiological processes to return to homeostatic levels after short-term perturbations. The concept of phenotypic flexibility to define biomarkers for nutrition-related health was introduced in 2009 in the area of health optimisation and prevention and delay of non-communicable disease. The core approach consists of the combination of imposing a challenge test to the body followed by time-resolved analysis of multiple biomarkers. This new approach may better facilitate nutritional health research in intervention studies since it may show effects on early derailed physiological markers and the biomarker response can be extended by perturbing the system, thereby making them more sensitive in detecting health effects from food and nutrition. At the same time, interindividual variation can also be extended and compressed by challenge tests, facilitating the bridge to personalised nutrition. This review will overview where the science is in this research arena and what the phenotypic flexibility potential is for the nutrition field.
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Affiliation(s)
- Suzan Wopereis
- Research Group Microbiology & Systems Biology, TNO, Netherlands Organisation for Applied Scientific Research, 2333 BE Leiden, the Netherlands
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14
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Muilwijk M, Beulens JWJ, Groeneveld L, Rutters F, Blom MT, Agamennone V, van den Broek T, Keijser BJF, Hoevenaars F. The entero-endocrine response following a mixed-meal tolerance test with a non-nutritive pre-load in participants with pre-diabetes and type 2 diabetes: A crossover randomized controlled trial proof of concept study. PLoS One 2023; 18:e0290261. [PMID: 37624823 PMCID: PMC10456129 DOI: 10.1371/journal.pone.0290261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 08/02/2023] [Indexed: 08/27/2023] Open
Abstract
INTRODUCTION This crossover randomized controlled trial (RCT) investigated differences in short-term entero-endocrine response to a mixed-meal tolerance test preceded by nutrient sensing between participants with pre-diabetes (pre-T2D) and type 2 diabetes (T2D). Additionally, differences in gut and oral microbiome composition between participants with a high and low entero-endocrine response were investigated. RESEARCH DESIGN AND METHODS Ten participants with pre-T2D and ten with T2D underwent three test days with pre-loads consisting of either swallowing water (control), or rinsing with a non-nutritive sweetener solution, or swallowing the sweetener solution before a mixed-meal tolerance test. Blood glucose-dependent insulinotropic polypeptide (GIP), glucagon-like peptide-1 (GLP-1), glucagon, glucose, insulin and peptide YY (PYY) were determined at t = -20, 0, 15, 30, 60, 120 and 240 minutes. The composition of the oral and gut microbiome at baseline were also determined. RESULTS The entero-endocrine response differed by pre-loads, e.g. a lower PYY response after swallowing the non-nutritive sweetener (-3585.2pg/mL [95% CI: -6440.6; -729.8]; p = 0.01). But it also differed by T2D status, e.g. a higher glucose, glucagon and PYY response was found in participants with T2D, compared to those with pre-T2D. Evidence for associations between the oral and gut microbiome composition and the entero-endocrine response was limited. Still, the level of entero-endocrine response was associated with several oral microbiome measures. Higher oral anterior α-diversity was associated with a lower PYY response (e.g. Inverse Simpson index -1357pg/mL [95% CI -2378; -336; 1.24]), and higher oral posterior α-diversitywith a higher GIP response (e.g. Inverse Simpson index 6773pg/mL [95% CI 132; 13414]) in models adjusted for sex, age and T2D status. CONCLUSIONS Non-nutritive pre-loads influence the entero-endocrine response to a mixed-meal, and this effect varies based on (pre-)T2D status. The entero-endocrine response is likely not associated with the gut microbiome, and there is limited evidence for association with the α-diversity of the oral microbiome composition. TRIAL REGISTRATION Trial register: Netherlands Trial Register NTR7212, accessible through International Clinical Trials Registry Platform: ICTRP Search Portal (who.int).
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Affiliation(s)
- Mirthe Muilwijk
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Amsterdam Public Health, Health Behaviours & Cardiovascular Diseases, Amsterdam Cardiovascular Sciences, Diabetes & Metabolism, Amsterdam, The Netherlands
| | - Joline W. J. Beulens
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Amsterdam Public Health, Health Behaviours & Cardiovascular Diseases, Amsterdam Cardiovascular Sciences, Diabetes & Metabolism, Amsterdam, The Netherlands
| | - Lenka Groeneveld
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Amsterdam Public Health, Health Behaviours & Cardiovascular Diseases, Amsterdam Cardiovascular Sciences, Diabetes & Metabolism, Amsterdam, The Netherlands
| | - Femke Rutters
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Amsterdam Public Health, Health Behaviours & Cardiovascular Diseases, Amsterdam Cardiovascular Sciences, Diabetes & Metabolism, Amsterdam, The Netherlands
| | - Marieke T. Blom
- Amsterdam Public Health, Health Behaviours & Cardiovascular Diseases, Amsterdam Cardiovascular Sciences, Diabetes & Metabolism, Amsterdam, The Netherlands
- Department of General Practice, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Valeria Agamennone
- Department of Microbiology & Systems Biology, TNO, Leiden, The Netherlands
| | - Tim van den Broek
- Department of Microbiology & Systems Biology, TNO, Leiden, The Netherlands
| | - Bart J. F. Keijser
- Department of Microbiology & Systems Biology, TNO, Leiden, The Netherlands
- Department of Preventive Dentistry, Academic Centre for Dentistry Amsterdam (ACTA), Vrije Universiteit Amsterdam and University of Amsterdam, Amsterdam, The Netherlands
| | - Femke Hoevenaars
- Department of Microbiology & Systems Biology, TNO, Leiden, The Netherlands
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15
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van Steenwijk HP, Winter E, Knaven E, Brouwers JF, van Baardwijk M, van Dalum JB, Luijendijk TJC, van Osch FHM, Troost FJ, Bast A, Semen KO, de Boer A. The beneficial effect of sulforaphane on platelet responsiveness during caloric load: a single-intake, double-blind, placebo-controlled, crossover trial in healthy participants. Front Nutr 2023; 10:1204561. [PMID: 37485383 PMCID: PMC10359317 DOI: 10.3389/fnut.2023.1204561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 06/15/2023] [Indexed: 07/25/2023] Open
Abstract
Background and aims As our understanding of platelet activation in response to infections and/or inflammatory conditions is growing, it is becoming clearer that safe, yet efficacious, platelet-targeted phytochemicals could improve public health beyond the field of cardiovascular diseases. The phytonutrient sulforaphane shows promise for clinical use due to its effect on inflammatory pathways, favorable pharmacokinetic profile, and high bioavailability. The potential of sulforaphane to improve platelet functionality in impaired metabolic processes has however hardly been studied in humans. This study investigated the effects of broccoli sprout consumption, as a source of sulforaphane, on urinary 11-dehydro-thromboxane B2 (TXB2), a stable thromboxane metabolite used to monitor eicosanoid biosynthesis and response to antithrombotic therapy, in healthy participants exposed to caloric overload. Methods In this double-blind, placebo-controlled, crossover trial 12 healthy participants were administered 16g of broccoli sprouts, or pea sprouts (placebo) followed by the standardized high-caloric drink PhenFlex given to challenge healthy homeostasis. Urine samples were collected during the study visits and analyzed for 11-dehydro-TXB2, sulforaphane and its metabolites. Genotyping was performed using Illumina GSA v3.0 DTCBooster. Results Administration of broccoli sprouts before the caloric load reduced urinary 11-dehydro-TXB2 levels by 50% (p = 0.018). The amount of sulforaphane excreted in the urine during the study visits correlated negatively with 11-dehydro-TXB2 (rs = -0.377, p = 0.025). Participants carrying the polymorphic variant NAD(P)H dehydrogenase quinone 1 (NQO1*2) showed decreased excretion of sulforaphane (p = 0.035). Conclusion Sulforaphane was shown to be effective in targeting platelet responsiveness after a single intake. Our results indicate an inverse causal relationship between sulforaphane and 11-dehydro-TXB2, which is unaffected by the concomitant intake of the metabolic challenge. 11-Dehydro-TXB2 shows promise as a non-invasive, sensitive, and suitable biomarker to investigate the effects of phytonutrients on platelet aggregation within hours. Clinical trial registration [https://clinicaltrials.gov/], identifier [NCT05146804].
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Affiliation(s)
- Hidde P. van Steenwijk
- Food Claims Centre Venlo, Faculty of Science and Engineering, Maastricht University, Maastricht, Netherlands
| | - Evi Winter
- Food Claims Centre Venlo, Faculty of Science and Engineering, Maastricht University, Maastricht, Netherlands
| | - Edward Knaven
- Research Group Analysis Techniques in the Life Sciences, Avans University of Applied Sciences, Breda, Netherlands
| | - Jos F. Brouwers
- Research Group Analysis Techniques in the Life Sciences, Avans University of Applied Sciences, Breda, Netherlands
| | - Myrthe van Baardwijk
- Omnigen B.V., Delft, Netherlands
- Department of Pathology and Clinical Bioinformatics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | | | | | - Frits H. M. van Osch
- Department of Clinical Epidemiology, VieCuri Medical Center, Venlo, Netherlands
- Department of Epidemiology, NUTRIM, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Freddy J. Troost
- Division of Gastroenterology-Hepatology, Department of Internal Medicine, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Maastricht, Netherlands
- Food Innovation and Health, Centre for Healthy Eating and Food Innovation, Maastricht University, Maastricht, Netherlands
| | - Aalt Bast
- University College Venlo, Faculty of Science and Engineering, Maastricht University, Maastricht, Netherlands
- Department of Pharmacology and Toxicology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Khrystyna O. Semen
- University College Venlo, Faculty of Science and Engineering, Maastricht University, Maastricht, Netherlands
| | - Alie de Boer
- Food Claims Centre Venlo, Faculty of Science and Engineering, Maastricht University, Maastricht, Netherlands
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16
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Stojanovic J, Andjelic-Jelic M, Vuksanovic M, Marjanovic-Petkovic M, Jojic B, Stojanovic M, Beljic-Zivkovic T. The effects of early short-term insulin treatment vs. glimepiride on beta cell function in newly diagnosed type 2 diabetes with HbA1c above 9. Turk J Med Sci 2023; 53:552-562. [PMID: 37476884 PMCID: PMC10387975 DOI: 10.55730/1300-0144.5616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Accepted: 01/20/2023] [Indexed: 07/22/2023] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2D) is a complex metabolic impairment. Beta cell (BC) failure is the most challenging among its pathogenetic mechanisms. Recognizing reversible contributors to BC failure could guide individualized approach to early T2D treatment. The aim of this study was to compare early short-term insulin treatment vs. glimepiride, both added to metformin, on BC function, glycemic and lipid control, during 12-month follow-up. METHODS Eighty newly diagnosed T2D patients, 30-65 years of age, presenting with HbA1c ≥ 9% were enrolled in the study. They were randomly assigned to single-month initial insulin therapy (INS) added to metformin, or to glimepiride and metformin (OAD) as only treatment. Subjects assigned to initial insulin intervention were thereafter switched to OAD. C-peptide (C-Pep) was analyzed at baseline and 2 hours after standardized test meal (STM). All subjects were STM-retested after 3 and 12 months. HbA1c, serum lipids, BMI, HOMA IR, and HOMA B were assessed over follow-up. RESULTS HbA1c was lower in INS vs OAD at 3-months: 6.26 ± 0.18% vs 6.78 ± 0.10% (p = 0.016), remaining so by 12 months (p =0.056). BMI-adjusted ΔC-Pep was greater in INS vs. OAD at 3 months (4.60 ± 0.59 vs. 3.21 ± 0.34 m2 /kg; p = 0.044), persisting by 12months (4.57 ± 0.56 vs. 3.04 ± 0.34 m2/kg; p = 0.023). Average ΔC-Pep improvement from recruitment to 3 months was 100.8% in INS,vs. 51.3% in OAD. Prevalence of STM-ΔC-Pep response greater than 2.4 ng/mL had risen 3.2-fold by 12 months in the INS, vs. 2.4-fold only in the OAD group (p = 0.018). DISCUSSION Early short-term insulin intervention in newly diagnosed T2D improves beta cell function more than glimepiride, both added to metformin, resulting in a superior and longer lasting glycemic and lipid control.
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Affiliation(s)
- Jelena Stojanovic
- Division of Endocrinology, Diabetes and Metabolic Disorders, Department of Internal Medicine, Zvezdara University Medical Center, Belgrade, Serbia
| | - Marina Andjelic-Jelic
- Department of Internal Medicine, Faculty of Dental Medicine, University of Belgrade, Belgrade, Serbia ; Division of Endocrinology, Diabetes and Metabolic Disorders, Department of Internal Medicine,Zvezdara University Medical Center, Belgrade, Serbia
| | - Miljanka Vuksanovic
- Department of Internal Medicine, Medical Faculty,University of Belgrade, Belgrade, Serbia ; Division of Endocrinology, Diabetes and Metabolic Disorders, Department of Internal Medicine,Zvezdara University Medical Center, Belgrade, Serbia
| | - Milica Marjanovic-Petkovic
- Department of Internal Medicine, Medical Faculty,University of Belgrade, Belgrade, Serbia; Division of Endocrinology, Diabetes and Metabolic Disorders, Department of Internal Medicine,Zvezdara University Medical Center, Belgrade, Serbia
| | - Biljana Jojic
- Division of Endocrinology, Diabetes and Metabolic Disorders, Department of Internal Medicine,Zvezdara University Medical Center, Belgrade, Serbia
| | - Marko Stojanovic
- Department of Internal Medicine, Medical Faculty,University of Belgrade, Belgrade, Serbia ; Department of Neuroendocrinology, Clinic for Endocrinology, Diabetes and Metabolic Diseases,University Clinical Center of Serbia, Belgrade, Serbia
| | - Teodora Beljic-Zivkovic
- Department of Internal Medicine, Medical Faculty,University of Belgrade, Belgrade, Serbia;Division of Endocrinology, Diabetes and Metabolic Disorders, Department of Internal Medicine,Zvezdara University Medical Center, Belgrade, Serbia
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17
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Mi MY, Whitlock M, Shi X, Farrell LA, Bhambhani VM, Quadir J, Blatnik M, Wald KP, Tierney B, Kim A, Loudon P, Chen ZZ, Correa A, Gao Y, Carson AP, Bertoni AG, Roth Flach RJ, Gerszten RE. Mixed meal tolerance testing highlights in diabetes altered branched-chain ketoacid metabolism and pathways associated with all-cause mortality. Am J Clin Nutr 2023; 117:529-539. [PMID: 36811472 PMCID: PMC10356557 DOI: 10.1016/j.ajcnut.2023.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 12/22/2022] [Accepted: 01/03/2023] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Elevated BCAA levels are strongly associated with diabetes, but how diabetes affects BCAA, branched-chain ketoacids (BCKAs), and the broader metabolome after a meal is not well known. OBJECTIVE To compare quantitative BCAA and BCKA levels in a multiracial cohort with and without diabetes after a mixed meal tolerance test (MMTT) as well as to explore the kinetics of additional metabolites and their associations with mortality in self-identified African Americans. METHODS We administered an MMTT to 11 participants without obesity or diabetes and 13 participants with diabetes (treated with metformin only) and measured the levels of BCKAs, BCAAs, and 194 other metabolites at 8 time points across 5 h. We used mixed models for repeated measurements to compare between group metabolite differences at each timepoint with adjustment for baseline. We then evaluated the association of top metabolites with different kinetics with all-cause mortality in the Jackson Heart Study (JHS) (N = 2441). RESULTS BCAA levels, after adjustment for baseline, were similar at all timepoints between groups, but adjusted BCKA kinetics were different between groups for α-ketoisocaproate (P = 0.022) and α-ketoisovalerate (P = 0.021), most notably diverging at 120 min post-MMTT. An additional 20 metabolites had significantly different kinetics across timepoints between groups, and 9 of these metabolites-including several acylcarnitines-were significantly associated with mortality in JHS, irrespective of diabetes status. The highest quartile of a composite metabolite risk score was associated with higher mortality (HR:1.57; 1.20, 2.05, P = 0.00094) than the lowest quartile. CONCLUSIONS BCKA levels remained elevated after an MMTT among participants with diabetes, suggesting that BCKA catabolism may be a key dysregulated process in the interaction of BCAA and diabetes. Metabolites with different kinetics after an MMTT may be markers of dysmetabolism and associated with increased mortality in self-identified African Americans.
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Affiliation(s)
- Michael Y Mi
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA; Cardiovascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA.
| | | | - Xu Shi
- Cardiovascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Laurie A Farrell
- Cardiovascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | - Juweria Quadir
- Cardiovascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | - Kyle P Wald
- Early Clinical Development, Pfizer, Groton, CT, USA
| | | | - Albert Kim
- Internal Medicine Research Unit, Pfizer, Cambridge, MA, USA; Cytel, Cambridge, MA, USA
| | - Peter Loudon
- Early Clinical Development, Pfizer, Cambridge, UK; Tenpoint Therapeutics, Cambridge, UK
| | - Zsu-Zsu Chen
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Adolfo Correa
- Department of Population Health Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - Yan Gao
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - April P Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Alain G Bertoni
- Department of Epidemiology & Prevention, Wake Forest School of Medicine, Winston Salem, NC, USA
| | | | - Robert E Gerszten
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA; Cardiovascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
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18
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Fiamoncini J, Newman J, Brennan L. Editorial: Postprandial physiology. Front Nutr 2022; 9:1107480. [PMID: 36570125 PMCID: PMC9784213 DOI: 10.3389/fnut.2022.1107480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 11/28/2022] [Indexed: 12/13/2022] Open
Affiliation(s)
- Jarlei Fiamoncini
- Food Research Center (FoRC), Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil,*Correspondence: Jarlei Fiamoncini
| | - John Newman
- Western Human Nutrition Research Center, Agricultural Research Service, United States Department of Agriculture (USDA), Davis, CA, United States,Department of Nutrition, University of California, Davis, Davis, CA, United States,West Coast Metabolomics Center, Genome Center, University of California, Davis, Davis, CA, United States
| | - Lorraine Brennan
- Institute of Food and Health, School of Agriculture and Food Science, Conway Institute, University College Dublin, Dublin, Ireland
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O'Donovan SD, Erdős B, Jacobs DM, Wanders AJ, Thomas EL, Bell JD, Rundle M, Frost G, Arts ICW, Afman LA, van Riel NAW. Quantifying the contribution of triglycerides to metabolic resilience through the mixed meal model. iScience 2022; 25:105206. [PMID: 36281448 DOI: 10.1016/j.isci.2022.105206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 09/01/2022] [Accepted: 09/22/2022] [Indexed: 11/26/2022] Open
Abstract
Despite the pivotal role played by elevated circulating triglyceride levels in the pathophysiology of cardio-metabolic diseases many of the indices used to quantify metabolic health focus on deviations in glucose and insulin alone. We present the Mixed Meal Model, a computational model describing the systemic interplay between triglycerides, free fatty acids, glucose, and insulin. We show that the Mixed Meal Model can capture deviations in the post-meal excursions of plasma glucose, insulin, and triglyceride that are indicative of features of metabolic resilience; quantifying insulin resistance and liver fat; validated by comparison to gold-standard measures. We also demonstrate that the Mixed Meal Model is generalizable, applying it to meals with diverse macro-nutrient compositions. In this way, by coupling triglycerides to the glucose-insulin system the Mixed Meal Model provides a more holistic assessment of metabolic resilience from meal response data, quantifying pre-clinical metabolic deteriorations that drive disease development in overweight and obesity.
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Affiliation(s)
- Shauna D O'Donovan
- Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands.,Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.,Eindhoven Artifical Intelligence Systems Institute (EAISI), Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Balázs Erdős
- Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, the Netherlands
| | - Doris M Jacobs
- Unilever Global Food Innovation Centre, Bronland 14, 6708WH Wageningen, the Netherlands
| | - Anne J Wanders
- Unilever Global Food Innovation Centre, Bronland 14, 6708WH Wageningen, the Netherlands
| | - E Louise Thomas
- Research Center for Optimal Health, School of Life Sciences, University of Westminster, London, UK
| | - Jimmy D Bell
- Research Center for Optimal Health, School of Life Sciences, University of Westminster, London, UK
| | - Milena Rundle
- Division of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Imperial College London, London, UK
| | - Gary Frost
- Division of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Imperial College London, London, UK
| | - Ilja C W Arts
- Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, the Netherlands
| | - Lydia A Afman
- Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
| | - Natal A W van Riel
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.,Eindhoven Artifical Intelligence Systems Institute (EAISI), Eindhoven University of Technology, Eindhoven, the Netherlands
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20
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Weinisch P, Fiamoncini J, Schranner D, Raffler J, Skurk T, Rist MJ, Römisch-Margl W, Prehn C, Adamski J, Hauner H, Daniel H, Suhre K, Kastenmüller G. Dynamic patterns of postprandial metabolic responses to three dietary challenges. Front Nutr 2022; 9:933526. [PMID: 36211489 PMCID: PMC9540193 DOI: 10.3389/fnut.2022.933526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 08/01/2022] [Indexed: 11/13/2022] Open
Abstract
Food intake triggers extensive changes in the blood metabolome. The kinetics of these changes depend on meal composition and on intrinsic, health-related characteristics of each individual, making the assessment of changes in the postprandial metabolome an opportunity to assess someone's metabolic status. To enable the usage of dietary challenges as diagnostic tools, profound knowledge about changes that occur in the postprandial period in healthy individuals is needed. In this study, we characterize the time-resolved changes in plasma levels of 634 metabolites in response to an oral glucose tolerance test (OGTT), an oral lipid tolerance test (OLTT), and a mixed meal (SLD) in healthy young males (n = 15). Metabolite levels for samples taken at different time points (20 per individual) during the challenges were available from targeted (132 metabolites) and non-targeted (502 metabolites) metabolomics. Almost half of the profiled metabolites (n = 308) showed a significant change in at least one challenge, thereof 111 metabolites responded exclusively to one particular challenge. Examples include azelate, which is linked to ω-oxidation and increased only in OLTT, and a fibrinogen cleavage peptide that has been linked to a higher risk of cardiovascular events in diabetes patients and increased only in OGTT, making its postprandial dynamics a potential target for risk management. A pool of 89 metabolites changed their plasma levels during all three challenges and represents the core postprandial response to food intake regardless of macronutrient composition. We used fuzzy c-means clustering to group these metabolites into eight clusters based on commonalities of their dynamic response patterns, with each cluster following one of four primary response patterns: (i) “decrease-increase” (valley-like) with fatty acids and acylcarnitines indicating the suppression of lipolysis, (ii) “increase-decrease” (mountain-like) including a cluster of conjugated bile acids and the glucose/insulin cluster, (iii) “steady decrease” with metabolites reflecting a carryover from meals prior to the study, and (iv) “mixed” decreasing after the glucose challenge and increasing otherwise. Despite the small number of subjects, the diversity of the challenges and the wealth of metabolomic data make this study an important step toward the characterization of postprandial responses and the identification of markers of metabolic processes regulated by food intake.
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Affiliation(s)
- Patrick Weinisch
- Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Jarlei Fiamoncini
- Food Research Center – FoRC, Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil
| | - Daniela Schranner
- Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Johannes Raffler
- Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany
- Digital Medicine, University Hospital of Augsburg, Augsburg, Germany
| | - Thomas Skurk
- Core Facility Human Studies, ZIEL Institute for Food and Health, Technical University of Munich, Freising, Germany
- Else Kröner Fresenius Center for Nutritional Medicine, School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Manuela J. Rist
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany
| | - Werner Römisch-Margl
- Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Cornelia Prehn
- Metabolomics and Proteomics Core, Helmholtz Zentrum München, Neuherberg, Germany
| | - Jerzy Adamski
- Institute of Experimental Genetics, Helmholtz Zentrum München, Neuherberg, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Hans Hauner
- Else Kröner Fresenius Center for Nutritional Medicine, School of Life Sciences, Technical University of Munich, Freising, Germany
- Institute for Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany
| | - Hannelore Daniel
- Department of Food and Nutrition, Technical University of Munich, Freising, Germany
| | - Karsten Suhre
- Department of Biophysics and Physiology, Weill Cornell Medicine—Qatar, Doha, Qatar
| | - Gabi Kastenmüller
- Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany
- *Correspondence: Gabi Kastenmüller
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21
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Wüthrich C, De Figueiredo M, Burton-Pimentel KJ, Vergères G, Wahl F, Zenobi R, Giannoukos S. Breath response following a nutritional challenge monitored by secondary electrospray ionization high-resolution mass spectrometry. J Breath Res 2022; 16. [PMID: 35961293 DOI: 10.1088/1752-7163/ac894e] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 08/12/2022] [Indexed: 11/12/2022]
Abstract
On-line breath analysis using secondary electrospray ionization coupled to high-resolution mass spectrometry (SESI-HRMS) is a sensitive method for biomarker discovery. The strengths of this technology have already been demonstrated in the clinical environment. For the first time, this study demonstrates the application of SESI-HRMS in the field of nutritional science using a standardized nutritional intervention, consisting of a high-energy shake (950 kcal, 8% protein, 35% sugar and 57% fat). Eleven subjects underwent the intervention on three separate days and their exhaled breath was monitored up to six hours postprandially. In addition, sampling was performed during equivalent fasting conditions for selected subjects. To estimate the impact of inter- and intra-individual variability, analysis of variance simultaneous component analysis (ASCA) was conducted, revealing that the inter-individual variability accounted for 30 % of the data variation. To distinguish the effect of the intervention from fasting conditions, partial least squares discriminant analysis was performed. Candidate compound annotation was performed with pathway analysis and collision-induced dissociation (CID) experiments. Pathway analysis highlighted, among others, features associated with the metabolism of linoleate, butanoate and amino sugars. Tentative compounds annotated through CID measurements include fatty acids, amino acids, and amino acid derivatives, some of them likely derived from nutrients by the gut microbiome (e.g. propanoate, indoles), as well as organic acids from the Krebs cycle. Time-series clustering showed an overlap of observed kinetic trends with those reported previously in blood plasma.
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Affiliation(s)
- Cedric Wüthrich
- ETH Zurich Department of Chemistry and Applied Biosciences, Vladimir-Prelog-Weg 3, Zurich, Zürich, 8093, SWITZERLAND
| | | | | | - Guy Vergères
- Agroscope, Schwarzenburgstrasse 161, Bern, Bern, 3003, SWITZERLAND
| | - Fabian Wahl
- Agroscope, Schwarzenburgstrasse 161, Bern, Bern, 3003, SWITZERLAND
| | - Renato Zenobi
- Laboratory of Organic Chemistry, ETH Zürich, HCI E 325, CH - 8093, Zurich, Zurich, 8092, SWITZERLAND
| | - Stamatios Giannoukos
- ETH Zurich Department of Chemistry and Applied Biosciences, Vladimir-Prelog-Weg 3, Zurich, 8093, SWITZERLAND
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22
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Ranaivo H, Zhang Z, Alligier M, Van Den Berghe L, Sothier M, Lambert-Porcheron S, Feugier N, Cuerq C, Machon C, Neyrinck AM, Seethaler B, Rodriguez J, Roumain M, Muccioli GG, Maquet V, Laville M, Bischoff SC, Walter J, Delzenne NM, Nazare JA. Chitin-glucan supplementation improved postprandial metabolism and altered gut microbiota in subjects at cardiometabolic risk in a randomized trial. Sci Rep 2022; 12:8830. [PMID: 35614185 PMCID: PMC9132890 DOI: 10.1038/s41598-022-12920-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 05/05/2022] [Indexed: 01/04/2023] Open
Abstract
Chitin-glucan (CG), an insoluble dietary fiber, has been shown to improve cardiometabolic disorders associated with obesity in mice. Its effects in healthy subjects has recently been studied, revealing its interaction with the gut microbiota. In this double-blind, randomized, cross-over, twice 3-week exploratory study, we investigated the impacts of CG on the cardiometabolic profile and gut microbiota composition and functions in 15 subjects at cardiometabolic risk. They consumed as a supplement 4.5 g of CG daily or maltodextrin as control. Before and after interventions, fasting and postprandial metabolic parameters and exhaled gases (hydrogen [H2] and methane [CH4]) were evaluated. Gut microbiota composition (16S rRNA gene sequencing analysis), fecal concentrations of bile acids, long- and short-chain fatty acids (LCFA, SCFA), zonulin, calprotectin and lipopolysaccharide binding protein (LBP) were analyzed. Compared to control, CG supplementation increased exhaled H2 following an enriched-fiber breakfast ingestion and decreased postprandial glycemia and triglyceridemia response to a standardized test meal challenge served at lunch. Of note, the decrease in postprandial glycemia was only observed in subjects with higher exhaled H2, assessed upon lactulose breath test performed at inclusion. CG decreased a family belonging to Actinobacteria phylum and increased 3 bacterial taxa: Erysipelotrichaceae UCG.003, Ruminococcaceae UCG.005 and Eubacterium ventriosum group. Fecal metabolites, inflammatory and intestinal permeability markers did not differ between groups. In conclusion, we showed that CG supplementation modified the gut microbiota composition and improved postprandial glycemic response, an early determinant of cardiometabolic risk. Our results also suggest breath H2 production as a non-invasive parameter of interest for predicting the effectiveness of dietary fiber intervention.
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Affiliation(s)
- Harimalala Ranaivo
- Centre de Recherche en Nutrition Humaine Rhône-Alpes, Hospices Civils de Lyon, CENS, FCRIN/FORCE Network, Pierre-Bénite, France
- Univ-Lyon, CarMeN Laboratory, INSERM, INRAE, Université Claude Bernard Lyon-1, 69600, Oullins, France
| | - Zhengxiao Zhang
- College of Food and Biological Engineering, Jimei University, Xiamen, Fujian, China
| | - Maud Alligier
- Centre de Recherche en Nutrition Humaine Rhône-Alpes, Hospices Civils de Lyon, CENS, FCRIN/FORCE Network, Pierre-Bénite, France
- Univ-Lyon, CarMeN Laboratory, INSERM, INRAE, Université Claude Bernard Lyon-1, 69600, Oullins, France
| | - Laurie Van Den Berghe
- Centre de Recherche en Nutrition Humaine Rhône-Alpes, Hospices Civils de Lyon, CENS, FCRIN/FORCE Network, Pierre-Bénite, France
- Univ-Lyon, CarMeN Laboratory, INSERM, INRAE, Université Claude Bernard Lyon-1, 69600, Oullins, France
| | - Monique Sothier
- Centre de Recherche en Nutrition Humaine Rhône-Alpes, Hospices Civils de Lyon, CENS, FCRIN/FORCE Network, Pierre-Bénite, France
- Univ-Lyon, CarMeN Laboratory, INSERM, INRAE, Université Claude Bernard Lyon-1, 69600, Oullins, France
| | - Stéphanie Lambert-Porcheron
- Centre de Recherche en Nutrition Humaine Rhône-Alpes, Hospices Civils de Lyon, CENS, FCRIN/FORCE Network, Pierre-Bénite, France
- Univ-Lyon, CarMeN Laboratory, INSERM, INRAE, Université Claude Bernard Lyon-1, 69600, Oullins, France
| | - Nathalie Feugier
- Centre de Recherche en Nutrition Humaine Rhône-Alpes, Hospices Civils de Lyon, CENS, FCRIN/FORCE Network, Pierre-Bénite, France
- Univ-Lyon, CarMeN Laboratory, INSERM, INRAE, Université Claude Bernard Lyon-1, 69600, Oullins, France
| | - Charlotte Cuerq
- Univ-Lyon, CarMeN Laboratory, INSERM, INRAE, Université Claude Bernard Lyon-1, 69600, Oullins, France
- Service de Biochimie et Biologie Moléculaire, Unité Médicale Dyslipidémies et Dysfonctions Nutritionnelles et Digestives, Hospices Civils de Lyon, Pierre-Bénite, France
| | - Christelle Machon
- Hospices Civils de Lyon, Service de Biochimie, Centre de Biologie Sud, Hôpital Lyon Sud, Pierre-Bénite, France
| | - Audrey M Neyrinck
- Metabolism and Nutrition Research Group, Louvain Drug Research Institute, UCLouvain, Université Catholique de Louvain, Ottignies-Louvain-la-Neuve, Belgium
| | - Benjamin Seethaler
- Institute of Nutritional Medicine, University of Hohenheim, Stuttgart, Germany
| | - Julie Rodriguez
- Metabolism and Nutrition Research Group, Louvain Drug Research Institute, UCLouvain, Université Catholique de Louvain, Ottignies-Louvain-la-Neuve, Belgium
| | - Martin Roumain
- Bioanalysis and Pharmacology of Bioactive Lipids Research Group, Louvain Drug Research Institute, UCLouvain, Université Catholique de Louvain, Brussels, Belgium
| | - Giulio G Muccioli
- Bioanalysis and Pharmacology of Bioactive Lipids Research Group, Louvain Drug Research Institute, UCLouvain, Université Catholique de Louvain, Brussels, Belgium
| | - Véronique Maquet
- KitoZyme, Parc Industriel des Hauts-Sart, Zone 2, Rue de Milmort 680, 4040, Herstal, Belgium
| | - Martine Laville
- Centre de Recherche en Nutrition Humaine Rhône-Alpes, Hospices Civils de Lyon, CENS, FCRIN/FORCE Network, Pierre-Bénite, France
- Univ-Lyon, CarMeN Laboratory, INSERM, INRAE, Université Claude Bernard Lyon-1, 69600, Oullins, France
| | - Stephan C Bischoff
- Institute of Nutritional Medicine, University of Hohenheim, Stuttgart, Germany
| | - Jens Walter
- Department of Medicine, and School of Microbiology, APC Microbiome Ireland, University College Cork, Cork, Ireland
| | - Nathalie M Delzenne
- Metabolism and Nutrition Research Group, Louvain Drug Research Institute, UCLouvain, Université Catholique de Louvain, Ottignies-Louvain-la-Neuve, Belgium
| | - Julie-Anne Nazare
- Centre de Recherche en Nutrition Humaine Rhône-Alpes, Hospices Civils de Lyon, CENS, FCRIN/FORCE Network, Pierre-Bénite, France.
- Univ-Lyon, CarMeN Laboratory, INSERM, INRAE, Université Claude Bernard Lyon-1, 69600, Oullins, France.
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23
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Newman JW, Krishnan S, Borkowski K, Adams SH, Stephensen CB, Keim NL. Assessing Insulin Sensitivity and Postprandial Triglyceridemic Response Phenotypes With a Mixed Macronutrient Tolerance Test. Front Nutr 2022; 9:877696. [PMID: 35634390 PMCID: PMC9131925 DOI: 10.3389/fnut.2022.877696] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 03/25/2022] [Indexed: 12/18/2022] Open
Abstract
The use of meal challenge tests to assess postprandial responses in carbohydrate and fat metabolism is well established in clinical nutrition research. However, challenge meal compositions and protocols remain a variable. Here, we validated a mixed macronutrient tolerance test (MMTT), containing 56-g palm oil, 59-g sucrose, and 26-g egg white protein for the parallel determination of insulin sensitivity and postprandial triglyceridemia in clinically healthy subjects. The MMTT was administered in two study populations. In one, women with overweight/obese BMIs (n = 43) involved in an 8-week dietary intervention were administered oral glucose tolerance tests (OGTTs) and MMTTs within 2 days of each other after 0, 2, and 8 weeks of the dietary intervention. In the other, 340 men and women between 18 and 64 years of age, with BMI from 18–40 kg/m2, completed the MMTT as part of a broad nutritional phenotyping effort. Postprandial blood collected at 0, 0.5, 3, and 6 h was used to measure glucose, insulin, and clinical lipid panels. The MMTT postprandial insulin-dependent glucose disposal was evaluated by using the Matsuda Index algorithm and the 0- and 3 h blood insulin and glucose measures. The resulting MMTT insulin sensitivity index (ISIMMTT) was strongly correlated (r = 0.77, p < 0.001) with the OGTT-dependent 2 h composite Matsuda index (ISIComposite), being related by the following equation: Log (ISIComposite) = [0.8751 x Log(ISIMMTT)] –0.2115. An area under the triglyceride excursion curve >11.15 mg/mL h–1 calculated from the 0, 3, and 6 h blood draws established mild-to-moderate triglyceridemia in agreement with ∼20% greater prevalence of hypertriglyceridemia than fasting indications. We also demonstrated that the product of the 0 to 3 h and 3 to 6 h triglyceride rate of change as a function of the triglyceride incremental area under the curve optimally stratified subjects by postprandial response patterns. Notably, ∼2% of the population showed minimal triglyceride appearance by 6 h, while ∼25% had increasing triglycerides through 6 h. Ultimately, using three blood draws, the MMTT allowed for the simultaneous determination of insulin sensitivity and postprandial triglyceridemia in individuals without clinically diagnosed disease.Clinical Trial Registration[https://clinicaltrials.gov/], identifier [NCT02298725; NCT02367287].
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Affiliation(s)
- John W. Newman
- Western Human Nutrition Research Center, Agricultural Research Service, USDA, Davis, CA, United States
- Department of Nutrition, University of California, Davis, Davis, CA, United States
- West Coast Metabolomics Center, Genome Center, University of California, Davis, Davis, CA, United States
- *Correspondence: John W. Newman,
| | - Sridevi Krishnan
- Department of Nutrition, University of California, Davis, Davis, CA, United States
| | - Kamil Borkowski
- West Coast Metabolomics Center, Genome Center, University of California, Davis, Davis, CA, United States
| | - Sean H. Adams
- Department of Surgery, Davis School of Medicine, University of California, Davis, Sacramento, CA, United States
- Center for Alimentary and Metabolic Science, Davis School of Medicine, University of California, Davis, Sacramento, CA, United States
| | - Charles B. Stephensen
- Western Human Nutrition Research Center, Agricultural Research Service, USDA, Davis, CA, United States
- Department of Nutrition, University of California, Davis, Davis, CA, United States
| | - Nancy L. Keim
- Western Human Nutrition Research Center, Agricultural Research Service, USDA, Davis, CA, United States
- Department of Nutrition, University of California, Davis, Davis, CA, United States
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25
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de Hoogh IM, Pasman WJ, Boorsma A, van Ommen B, Wopereis S. Effects of a 13-Week Personalized Lifestyle Intervention Based on the Diabetes Subtype for People with Newly Diagnosed Type 2 Diabetes. Biomedicines 2022; 10:biomedicines10030643. [PMID: 35327447 PMCID: PMC8945461 DOI: 10.3390/biomedicines10030643] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 02/15/2022] [Accepted: 03/07/2022] [Indexed: 12/16/2022] Open
Abstract
A type 2 diabetes mellitus (T2DM) subtyping method that determines the T2DM phenotype based on an extended oral glucose tolerance test is proposed. It assigns participants to one of seven subtypes according to their β-cell function and the presence of hepatic and/or muscle insulin resistance. The effectiveness of this subtyping approach and subsequent personalized lifestyle treatment in ameliorating T2DM was assessed in a primary care setting. Sixty participants, newly diagnosed with (pre)diabetes type 2 and not taking diabetes medication, completed the intervention. Retrospectively collected data of 60 people with T2DM from usual care were used as controls. Bodyweight (p < 0.01) and HbA1c (p < 0.01) were significantly reduced after 13 weeks in the intervention group, but not in the usual care group. The intervention group achieved 75.0% diabetes remission after 13 weeks (fasting glucose ≤ 6.9 mmol/L and HbA1c < 6.5% (48 mmol/mol)); for the usual care group, this was 22.0%. Lasting (two years) remission was especially achieved in subgroups with isolated hepatic insulin resistance. Our study shows that a personalized diagnosis and lifestyle intervention for T2DM in a primary care setting may be more effective in improving T2DM-related parameters than usual care, with long-term effects seen especially in subgroups with hepatic insulin resistance.
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Lépine G, Tremblay-Franco M, Bouder S, Dimina L, Fouillet H, Mariotti F, Polakof S. Investigating the Postprandial Metabolome after Challenge Tests to Assess Metabolic Flexibility and Dysregulations Associated with Cardiometabolic Diseases. Nutrients 2022; 14:nu14030472. [PMID: 35276829 PMCID: PMC8840206 DOI: 10.3390/nu14030472] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 01/14/2022] [Accepted: 01/17/2022] [Indexed: 12/16/2022] Open
Abstract
This review focuses on the added value provided by a research strategy applying metabolomics analyses to assess phenotypic flexibility in response to different nutritional challenge tests in the framework of metabolic clinical studies. We discuss findings related to the Oral Glucose Tolerance Test (OGTT) and to mixed meals with varying fat contents and food matrix complexities. Overall, the use of challenge tests combined with metabolomics revealed subtle metabolic dysregulations exacerbated during the postprandial period when comparing healthy and at cardiometabolic risk subjects. In healthy subjects, consistent postprandial metabolic shifts driven by insulin action were reported (e.g., a switch from lipid to glucose oxidation for energy fueling) with similarities between OGTT and mixed meals, especially during the first hours following meal ingestion while differences appeared in a wider timeframe. In populations with expected reduced phenotypic flexibility, often associated with increased cardiometabolic risk, a blunted response on most key postprandial pathways was reported. We also discuss the most suitable statistical tools to analyze the dynamic alterations of the postprandial metabolome while accounting for complexity in study designs and data structure. Overall, the in-depth characterization of the postprandial metabolism and associated phenotypic flexibility appears highly promising for a better understanding of the onset of cardiometabolic diseases.
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Affiliation(s)
- Gaïa Lépine
- Université Clermont Auvergne, INRAE, UMR 1019, Unité Nutrition Humaine, 63000 Clermont-Ferrand, France; (G.L.); (S.B.); (L.D.)
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 75005 Paris, France; (H.F.); (F.M.)
| | - Marie Tremblay-Franco
- Toxalim (Research Centre in Food Toxicology), Université de Toulouse, 31300 Toulouse, France;
- Axiom Platform, MetaToul-MetaboHUB, National Infrastructure for Metabolomics and Fluxomics, 31300 Toulouse, France
| | - Sabrine Bouder
- Université Clermont Auvergne, INRAE, UMR 1019, Unité Nutrition Humaine, 63000 Clermont-Ferrand, France; (G.L.); (S.B.); (L.D.)
| | - Laurianne Dimina
- Université Clermont Auvergne, INRAE, UMR 1019, Unité Nutrition Humaine, 63000 Clermont-Ferrand, France; (G.L.); (S.B.); (L.D.)
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 75005 Paris, France; (H.F.); (F.M.)
| | - Hélène Fouillet
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 75005 Paris, France; (H.F.); (F.M.)
| | - François Mariotti
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 75005 Paris, France; (H.F.); (F.M.)
| | - Sergio Polakof
- Université Clermont Auvergne, INRAE, UMR 1019, Unité Nutrition Humaine, 63000 Clermont-Ferrand, France; (G.L.); (S.B.); (L.D.)
- Correspondence:
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27
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Li L, Hoefsloot H, de Graaf AA, Acar E, Smilde AK. Exploring dynamic metabolomics data with multiway data analysis: a simulation study. BMC Bioinformatics 2022; 23:31. [PMID: 35012453 PMCID: PMC8750750 DOI: 10.1186/s12859-021-04550-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 12/20/2021] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Analysis of dynamic metabolomics data holds the promise to improve our understanding of underlying mechanisms in metabolism. For example, it may detect changes in metabolism due to the onset of a disease. Dynamic or time-resolved metabolomics data can be arranged as a three-way array with entries organized according to a subjects mode, a metabolites mode and a time mode. While such time-evolving multiway data sets are increasingly collected, revealing the underlying mechanisms and their dynamics from such data remains challenging. For such data, one of the complexities is the presence of a superposition of several sources of variation: induced variation (due to experimental conditions or inborn errors), individual variation, and measurement error. Multiway data analysis (also known as tensor factorizations) has been successfully used in data mining to find the underlying patterns in multiway data. To explore the performance of multiway data analysis methods in terms of revealing the underlying mechanisms in dynamic metabolomics data, simulated data with known ground truth can be studied. RESULTS We focus on simulated data arising from different dynamic models of increasing complexity, i.e., a simple linear system, a yeast glycolysis model, and a human cholesterol model. We generate data with induced variation as well as individual variation. Systematic experiments are performed to demonstrate the advantages and limitations of multiway data analysis in analyzing such dynamic metabolomics data and their capacity to disentangle the different sources of variations. We choose to use simulations since we want to understand the capability of multiway data analysis methods which is facilitated by knowing the ground truth. CONCLUSION Our numerical experiments demonstrate that despite the increasing complexity of the studied dynamic metabolic models, tensor factorization methods CANDECOMP/PARAFAC(CP) and Parallel Profiles with Linear Dependences (Paralind) can disentangle the sources of variations and thereby reveal the underlying mechanisms and their dynamics.
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Affiliation(s)
- Lu Li
- Machine Intelligence Department, Simula Metropolitan Center for Digital Engineering, Oslo, Norway
| | - Huub Hoefsloot
- Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - Albert A. de Graaf
- Netherlands Organisation for Applied Scientific Research (TNO), Zeist, The Netherlands
| | - Evrim Acar
- Machine Intelligence Department, Simula Metropolitan Center for Digital Engineering, Oslo, Norway
| | - Age K. Smilde
- Machine Intelligence Department, Simula Metropolitan Center for Digital Engineering, Oslo, Norway
- Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands
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Park SY, Kwon O, Kim JY. Effect of Mori ramulus on the postprandial blood glucose levels and inflammatory responses of healthy subjects subjected to an oral high-fat/sucrose challenge: A double-blind, randomized, crossover clinical trial. Biomed Pharmacother 2021; 146:112552. [PMID: 34923339 DOI: 10.1016/j.biopha.2021.112552] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 12/09/2021] [Accepted: 12/13/2021] [Indexed: 11/24/2022] Open
Abstract
Blood glucose is inadequately controlled in diabetes mellitus, causing various inflammation-related complications. This study aimed to investigate responses to an oral sucrose/lipid challenge in the context of glucose metabolism after consumption of Mori ramulus (MR) extract. In this study on healthy subjects, the optimal dose and safety of MR were confirmed in a preliminary pilot trial (n = 24), meanwhile, blood glucose, insulin, and inflammatory marker levels were detected via an oral sucrose/lipid tolerance test in the main trial (n = 36). In the main study, the blood glucose response was significantly decreased after 240 min in the MR group. Compared to the placebo group, the treatment group exhibited plasma insulin levels that were significantly increased at 120 min and decreased at 240 min. In conclusion, a single MR extract dose protects against inflammation induced by high-fat/sugar to maintain normal insulin secretion and thus helps to maintain postprandial blood glucose levels via an inflammatory mechanism.
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Affiliation(s)
- Soo-Yeon Park
- Department of Nutritional Science and Food Management, Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul 03760, Republic of Korea
| | - Oran Kwon
- Department of Nutritional Science and Food Management, Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul 03760, Republic of Korea; Department of Nutritional Science and Food Management, Ewha Womans University, Seoul 03760, Republic of Korea
| | - Ji Yeon Kim
- Department of Food Science and Technology, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea.
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Valsesia A, Egli L, Bosco N, Magkos F, Kong SC, Sun L, Goh HJ, Weiting H, Arigoni F, Leow MKS, Yeo KK, Actis-Goretta L. Clinical- and omics-based models of subclinical atherosclerosis in healthy Chinese adults: a cross-sectional exploratory study. Am J Clin Nutr 2021; 114:1752-1762. [PMID: 34476468 DOI: 10.1093/ajcn/nqab269] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 07/23/2021] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Classical risk factors, such as fasting cholesterol, blood pressure (BP), and diabetes status are used today to predict the risk of developing cardiovascular disease (CVD). However, accurate prediction remains limited, particularly in low-risk groups such as women and younger individuals. Growing evidence suggests that biomarker concentrations following consumption of a meal challenge are better and earlier predictors of disease development than biomarker concentrations. OBJECTIVE To test the hypothesis that postprandial responses of circulating biomarkers differ between healthy subjects with and without subclinical atherosclerosis (SA) in an Asian population at low risk of coronary artery disease (CAD). METHODS One hundred healthy Chinese subjects (46 women, 54 men) completed the study. Subjects consumed a mixed-meal test and 164 blood biomarkers were analyzed over 6 h by using a combination of chemical and NMR techniques. Models were trained using different methodologies (including logistic regression, elastic net, random forest, sparse partial least square) on a random 75% subset of the data, and their performance was evaluated on the remaining 25%. RESULTS We found that models based on baseline clinical parameters or fasting biomarkers could not reliably predict SA. By contrast, an omics model based on magnitude and timing of postprandial biomarkers achieved high performance [receiving operating characteristic (ROC) AUC: 91%; 95% CI: 77, 100). Investigation of key features of this model enabled derivation of a considerably simpler model, solely based on postprandial BP and age, with excellent performance (AUC: 91%; 95% CI: 78, 100). CONCLUSION We report a novel model to detect SA based on postprandial BP and age in a population of Asian subjects at low risk of CAD. The use of this model in large-scale CVD prevention programs should be explored. This trial was registered at ClinicalTrials.gov as NCT03531879.
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Affiliation(s)
- Armand Valsesia
- Nestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland
| | - Leonie Egli
- Nestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland
| | - Nabil Bosco
- Nestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland
- Nestlé Research Singapore Hub, Singapore
| | | | | | - Lijuan Sun
- Singapore Institute for Clinical Sciences, Singapore
| | - Hui Jen Goh
- Singapore Institute for Clinical Sciences, Singapore
| | | | | | - Melvin Khee-Shing Leow
- Singapore Institute for Clinical Sciences, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Department of Endocrinology, Tan Tock Seng Hospital, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Khung Keong Yeo
- National Heart Center Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
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30
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van den Brink W, Bloem R, Ananth A, Kanagasabapathi T, Amelink A, Bouwman J, Gelinck G, van Veen S, Boorsma A, Wopereis S. Digital Resilience Biomarkers for Personalized Health Maintenance and Disease Prevention. Front Digit Health 2021; 2:614670. [PMID: 34713076 PMCID: PMC8521930 DOI: 10.3389/fdgth.2020.614670] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 12/09/2020] [Indexed: 12/26/2022] Open
Abstract
Health maintenance and disease prevention strategies become increasingly prioritized with increasing health and economic burden of chronic, lifestyle-related diseases. A key element in these strategies is the empowerment of individuals to control their health. Self-measurement plays an essential role in achieving such empowerment. Digital measurements have the advantage of being measured non-invasively, passively, continuously, and in a real-world context. An important question is whether such measurement can sensitively measure subtle disbalances in the progression toward disease, as well as the subtle effects of, for example, nutritional improvement. The concept of resilience biomarkers, defined as the dynamic evaluation of the biological response to an external challenge, has been identified as a viable strategy to measure these subtle effects. In this review, we explore the potential of integrating this concept with digital physiological measurements to come to digital resilience biomarkers. Additionally, we discuss the potential of wearable, non-invasive, and continuous measurement of molecular biomarkers. These types of innovative measurements may, in the future, also serve as a digital resilience biomarker to provide even more insight into the personal biological dynamics of an individual. Altogether, digital resilience biomarkers are envisioned to allow for the measurement of subtle effects of health maintenance and disease prevention strategies in a real-world context and thereby give personalized feedback to improve health.
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Affiliation(s)
- Willem van den Brink
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Zeist, Netherlands
| | - Robbert Bloem
- Department of Environmental Modeling Sensing and Analysis, Netherlands Organization for Applied Scientific Research (TNO), Utrecht, Netherlands
| | - Adithya Ananth
- Department of Optics, Netherlands Organization for Applied Scientific Research (TNO), Delft, Netherlands
| | - Thiru Kanagasabapathi
- Holst Center, Netherlands Organization for Applied Scientific Research (TNO), Eindhoven, Netherlands
| | - Arjen Amelink
- Department of Optics, Netherlands Organization for Applied Scientific Research (TNO), Delft, Netherlands
| | - Jildau Bouwman
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Zeist, Netherlands
| | - Gerwin Gelinck
- Holst Center, Netherlands Organization for Applied Scientific Research (TNO), Eindhoven, Netherlands
| | - Sjaak van Veen
- Department of Environmental Modeling Sensing and Analysis, Netherlands Organization for Applied Scientific Research (TNO), Utrecht, Netherlands
| | - Andre Boorsma
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Zeist, Netherlands
| | - Suzan Wopereis
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Zeist, Netherlands
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31
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Serum metabolomic biomarkers of perceptual speed in cognitively normal and mildly impaired subjects with fasting state stratification. Sci Rep 2021; 11:18964. [PMID: 34556796 PMCID: PMC8460824 DOI: 10.1038/s41598-021-98640-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Accepted: 09/06/2021] [Indexed: 12/13/2022] Open
Abstract
Cognitive decline is associated with both normal aging and early pathologies leading to dementia. Here we used quantitative profiling of metabolites involved in the regulation of inflammation, vascular function, neuronal function and energy metabolism, including oxylipins, endocannabinoids, bile acids, and steroid hormones to identify metabolic biomarkers of mild cognitive impairment (MCI). Serum samples (n = 212) were obtained from subjects with or without MCI opportunistically collected with incomplete fasting state information. To maximize power and stratify the analysis of metabolite associations with MCI by the fasting state, we developed an algorithm to predict subject fasting state when unknown (n = 73). In non-fasted subjects, linoleic acid and palmitoleoyl ethanolamide levels were positively associated with perceptual speed. In fasted subjects, soluble epoxide hydrolase activity and tauro-alpha-muricholic acid levels were negatively associated with perceptual speed. Other cognitive domains showed associations with bile acid metabolism, but only in the non-fasted state. Importantly, this study shows unique associations between serum metabolites and cognitive function in the fasted and non-fasted states and provides a fasting state prediction algorithm based on measurable metabolites.
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LaBarre JL, Singer K, Burant CF. Advantages of Studying the Metabolome in Response to Mixed-Macronutrient Challenges and Suggestions for Future Research Designs. J Nutr 2021; 151:2868-2881. [PMID: 34255076 PMCID: PMC8681069 DOI: 10.1093/jn/nxab223] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 04/26/2021] [Accepted: 06/15/2021] [Indexed: 12/22/2022] Open
Abstract
Evaluating the postprandial response to a dietary challenge containing all macronutrients-carbohydrates, lipids, and protein-may provide stronger insights of metabolic health than a fasted measurement. Metabolomic profiling deepens the understanding of the homeostatic and adaptive response to a dietary challenge by classifying multiple metabolic pathways and biomarkers. A total of 26 articles were identified that measure the human blood metabolome or lipidome response to a mixed-macronutrient challenge. Most studies were cross-sectional, exploring the baseline and postprandial response to the dietary challenge. Large variations in study designs were reported, including the macronutrient and caloric composition of the challenge and the delivery of the challenge as a liquid shake or a solid meal. Most studies utilized a targeted metabolomics platform, assessing only a particular metabolic pathway, however, several studies utilized global metabolomics and lipidomics assays demonstrating the expansive postprandial response of the metabolome. The postprandial response of individual amino acids was largely dependent on the amino acid composition of the test meal, with the exception of alanine and proline, 2 nonessential amino acids. Long-chain fatty acids and unsaturated long-chain acylcarnitines rapidly decreased in response to the dietary challenges, representing the switch from fat to carbohydrate oxidation. Studies were reviewed that assessed the metabolome response in the context of obesity and metabolic diseases, providing insight on how weight status and disease influence the ability to cope with a nutrient load and return to homeostasis. Results demonstrate that the flexibility to respond to a substrate load is influenced by obesity and metabolic disease and flexibility alterations will be evident in downstream metabolites of fat, carbohydrate, and protein metabolism. In response, we propose suggestions for standardization between studies with the potential of creating a study exploring the postprandial response to a multitude of challenges with a variety of macronutrients.
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Affiliation(s)
| | - Kanakadurga Singer
- Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Charles F Burant
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
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de Hoogh IM, Oosterman JE, Otten W, Krijger AM, Berbée-Zadelaar S, Pasman WJ, van Ommen B, Pijl H, Wopereis S. The Effect of a Lifestyle Intervention on Type 2 Diabetes Pathophysiology and Remission: The Stevenshof Pilot Study. Nutrients 2021; 13:2193. [PMID: 34202194 PMCID: PMC8308398 DOI: 10.3390/nu13072193] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 06/16/2021] [Accepted: 06/22/2021] [Indexed: 01/06/2023] Open
Abstract
Although lifestyle interventions can lead to diabetes remission, it is unclear to what extent type 2 diabetes (T2D) remission alters or improves the underlying pathophysiology of the disease. Here, we assess the effects of a lifestyle intervention on T2D reversal or remission and the effects on the underlying pathology. In a Dutch primary care setting, 15 adults with an average T2D duration of 13.4 years who were (pharmacologically) treated for T2D received a diabetes subtyping ("diabetyping") lifestyle intervention (DLI) for six months, aiming for T2D remission. T2D subtype was determined based on an OGTT. Insulin and sulphonylurea (SU) derivative treatment could be terminated for all participants. Body weight, waist/hip ratio, triglyceride levels, HbA1c, fasting, and 2h glucose were significantly improved after three and six months of intervention. Remission and reversal were achieved in two and three participants, respectively. Indices of insulin resistance and beta cell capacity improved, but never reached healthy values, resulting in unchanged T2D subtypes. Our study implies that achieving diabetes remission in individuals with a longer T2D duration is possible, but underlying pathology is only minimally affected, possibly due to an impaired beta cell function. Thus, even when T2D remission is achieved, patients need to continue adhering to lifestyle therapy.
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Affiliation(s)
- Iris M. de Hoogh
- Research Group Microbiology & Systems Biology, TNO, Netherlands Organization for Applied Scientific Research, 3700 AJ Zeist, The Netherlands; (J.E.O.); (W.J.P.); (B.v.O.); (S.W.)
| | - Johanneke E. Oosterman
- Research Group Microbiology & Systems Biology, TNO, Netherlands Organization for Applied Scientific Research, 3700 AJ Zeist, The Netherlands; (J.E.O.); (W.J.P.); (B.v.O.); (S.W.)
| | - Wilma Otten
- Research Group Child Health, TNO, Netherlands Organization for Applied Scientific Research, 2301 DA Leiden, The Netherlands;
| | - Anne-Margreeth Krijger
- Academic Pharmacy Stevenshof and SIR Institute for Pharmacy Practice and Policy, 2331 JE Leiden, The Netherlands;
| | - Susanne Berbée-Zadelaar
- Susanne Berbée, Diëtist, Partnership with Primark Care Centre Stevenshof, Dietician, 2331 JE Leiden, The Netherlands;
| | - Wilrike J. Pasman
- Research Group Microbiology & Systems Biology, TNO, Netherlands Organization for Applied Scientific Research, 3700 AJ Zeist, The Netherlands; (J.E.O.); (W.J.P.); (B.v.O.); (S.W.)
| | - Ben van Ommen
- Research Group Microbiology & Systems Biology, TNO, Netherlands Organization for Applied Scientific Research, 3700 AJ Zeist, The Netherlands; (J.E.O.); (W.J.P.); (B.v.O.); (S.W.)
| | - Hanno Pijl
- Department of Internal Medicine, Leiden University Medical Center (LUMC), 2300 RC Leiden, The Netherlands;
| | - Suzan Wopereis
- Research Group Microbiology & Systems Biology, TNO, Netherlands Organization for Applied Scientific Research, 3700 AJ Zeist, The Netherlands; (J.E.O.); (W.J.P.); (B.v.O.); (S.W.)
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34
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Artegoitia VM, Krishnan S, Bonnel EL, Stephensen CB, Keim NL, Newman JW. Healthy eating index patterns in adults by sex and age predict cardiometabolic risk factors in a cross-sectional study. BMC Nutr 2021; 7:30. [PMID: 34154665 PMCID: PMC8218401 DOI: 10.1186/s40795-021-00432-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Accepted: 04/14/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Associations between diet and cardiometabolic disease (CMD) risk may vary in men and women owing to sex differences in eating habits and physiology. The current secondary analysis sought to determine the ability of sex differences in dietary patterns to discriminate groups with or without CMD risk factors (CMDrf) in the adult population and if this was influenced by age. METHODS Diet patterns and quality were evaluated using 24 h recall-based Healthy Eating Index (HEI-2015) in free-living apparently healthy men (n = 184) and women (n = 209) 18-65 y of age with BMIs of 18-44 kg/m2. Participants were stratified into low- and high-CMDrf groups based on the presence/absence of at least one CMDrf: BMI > 25 kg/m2; fasting triglycerides > 150 mg/dL; HDL cholesterol < 50 mg/dL-women or < 40 mg/dL-men; HOMA > 2; HbA1c > 5.7. Sex by age dietary patterns were stratified by multivariate analyses, with metabolic variable associations established by stepwise discriminant analysis. RESULTS Diet quality increased with age in both sexes (P < 0.01), while women showed higher fruit, vegetable and saturated fat intake as a percentage of total energy (P < 0.05). The total-HEI score (i.e. diet quality) was lower in the high-CMDrf group (P = 0.01), however, diet quality parameters predicted CMDrf presence more accurately when separated by sex. Lower 'total vegetable' intake in the high-CMDrf group in both sexes, while high-CMDrf men also had lower 'total vegetables', 'greens and beans' intake, and high-CMDrf women had lower 'total fruits', 'whole-fruits', 'total vegetables', 'seafood and plant-proteins', 'fatty acids', and 'saturated fats' intakes (P < 0.05). Moreover, 'dairy' intake was higher in high-CMDrf women but not in men (sex by 'dairy' interaction P = 0.01). Sex by age diet pattern models predicted CMDrf with a 93 and 89% sensitivity and 84 and 92% specificity in women and men, respectively. CONCLUSIONS Sex and age differences in dietary patterns classified participants with and without accepted CMDrfs, supporting an association between specific diet components and CMD risk that differs by sex. Including sex specific dietary patterns into health assessments may provide targeted nutritional guidance to reduce the burden of cardiovascular disease. TRIAL REGISTRATION ClinicalTrials.gov : NCT02367287 . ClinicalTrials.gov : NCT02298725 .
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Affiliation(s)
- Virginia M Artegoitia
- Obesity and Metabolism Research Unit, United States Department of Agriculture-Agricultural Research Services-Western Human Nutrition Research Center, 430 West Health Sciences Drive, Davis, CA, 95616, USA
| | - Sridevi Krishnan
- Department of Nutrition, University of California Davis, Davis, CA, USA
| | - Ellen L Bonnel
- Department of Nutrition, University of California Davis, Davis, CA, USA
- Human Studies Unit, United States Department of Agriculture-Agricultural Research Services-Western Human Nutrition Research Center, Davis, CA, USA
| | - Charles B Stephensen
- Department of Nutrition, University of California Davis, Davis, CA, USA
- Immunity and Disease Prevention Research Unit, United States Department of Agriculture-Agricultural Research Services-Western Human Nutrition Research Center, Davis, CA, USA
| | - Nancy L Keim
- Obesity and Metabolism Research Unit, United States Department of Agriculture-Agricultural Research Services-Western Human Nutrition Research Center, 430 West Health Sciences Drive, Davis, CA, 95616, USA
- Department of Nutrition, University of California Davis, Davis, CA, USA
| | - John W Newman
- Obesity and Metabolism Research Unit, United States Department of Agriculture-Agricultural Research Services-Western Human Nutrition Research Center, 430 West Health Sciences Drive, Davis, CA, 95616, USA.
- Department of Nutrition, University of California Davis, Davis, CA, USA.
- West Coast Metabolomics Center, Genome Center, University of California Davis, Davis, CA, USA.
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Serum Metabolites Responding in a Dose-Dependent Manner to the Intake of a High-Fat Meal in Normal Weight Healthy Men Are Associated with Obesity. Metabolites 2021; 11:metabo11060392. [PMID: 34208710 PMCID: PMC8233812 DOI: 10.3390/metabo11060392] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 06/11/2021] [Accepted: 06/15/2021] [Indexed: 12/28/2022] Open
Abstract
Although the composition of the human blood metabolome is influenced both by the health status of the organism and its dietary behavior, the interaction between these two factors has been poorly characterized. This study makes use of a previously published randomized controlled crossover acute intervention to investigate whether the blood metabolome of 15 healthy normal weight (NW) and 17 obese (OB) men having ingested three doses (500, 1000, 1500 kcal) of a high-fat (HF) meal can be used to identify metabolites differentiating these two groups. Among the 1024 features showing a postprandial response, measured between 0 h and 6 h, in the NW group, 135 were dose-dependent. Among these 135 features, 52 had fasting values that were significantly different between NW and OB men, and, strikingly, they were all significantly higher in OB men. A subset of the 52 features was identified as amino acids (e.g., branched-chain amino acids) and amino acid derivatives. As the fasting concentration of most of these metabolites has already been associated with metabolic dysfunction, we propose that challenging normal weight healthy subjects with increasing caloric doses of test meals might allow for the identification of new fasting markers associated with obesity.
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36
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Albarazanji K, Nawrocki AR, Gao B, Wang X, Wang Y(J, Xiao YF. Effects of mixed meal tolerance test on gastric emptying, glucose and lipid homeostasis in obese nonhuman primates. Sci Rep 2021; 11:11866. [PMID: 34088949 PMCID: PMC8178340 DOI: 10.1038/s41598-021-91027-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 05/12/2021] [Indexed: 02/05/2023] Open
Abstract
Meal ingestion elicits a variety of neuronal, physiological and hormonal responses that differ in healthy, obese or diabetic individuals. The mixed meal tolerance test (MMTT) is a well-established method to evaluate pancreatic β-cell reserve and glucose homeostasis in both preclinical and clinical research in response to calorically defined meal. Nonhuman primates (NHPs) are highly valuable for diabetic research as they can naturally develop type 2 diabetes mellitus (T2DM) in a way similar to the onset and progression of human T2DM. The purpose of this study was to investigate the reproducibility and effects of a MMTT containing acetaminophen on plasma glucose, insulin, C-peptide, incretin hormones, lipids, acetaminophen appearance (a surrogate marker for gastric emptying) in 16 conscious obese cynomolgus monkeys (Macaca fascicularis). Plasma insulin, C-peptide, TG, aGLP-1, tGIP, PYY and acetaminophen significantly increased after meal/acetaminophen administration. A subsequent study in 6 animals showed that the changes of plasma glucose, insulin, C-peptide, lipids and acetaminophen were reproducible. There were no significant differences in responses to the MMTT among the obese NHPs with (n = 11) or without (n = 5) hyperglycemia. Our results demonstrate that mixed meal administration induces significant secretion of several incretins which are critical for maintaining glucose homeostasis. In addition, the responses to the MMTTs are reproducible in NHPs, which is important when the MMTT is used for evaluating post-meal glucose homeostasis in research.
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Affiliation(s)
- Kamal Albarazanji
- grid.497530.c0000 0004 0389 4927Janssen Research & Development, Cardiovascular and Metabolism, 1400 McKean Rd., Spring House, PA 19477 USA
| | - Andrea R. Nawrocki
- grid.497530.c0000 0004 0389 4927Janssen Research & Development, Cardiovascular and Metabolism, 1400 McKean Rd., Spring House, PA 19477 USA
| | - Bin Gao
- grid.497530.c0000 0004 0389 4927Janssen Research & Development, Cardiovascular and Metabolism, 1400 McKean Rd., Spring House, PA 19477 USA
| | - Xiaoli Wang
- Cardiovascular and Metabolic Diseases, Crown Bioscience, Inc., 6 Beijing West Road, Taicang, Jiangsu Province 215400 People’s Republic of China
| | - Yixin (Jim) Wang
- Cardiovascular and Metabolic Diseases, Crown Bioscience, Inc., 6 Beijing West Road, Taicang, Jiangsu Province 215400 People’s Republic of China
| | - Yong-Fu Xiao
- Cardiovascular and Metabolic Diseases, Crown Bioscience, Inc., 6 Beijing West Road, Taicang, Jiangsu Province 215400 People’s Republic of China
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37
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de Hoogh IM, Winters BL, Nieman KM, Bijlsma S, Krone T, van den Broek TJ, Anderson BD, Caspers MPM, Anthony JC, Wopereis S. A Novel Personalized Systems Nutrition Program Improves Dietary Patterns, Lifestyle Behaviors and Health-Related Outcomes: Results from the Habit Study. Nutrients 2021; 13:1763. [PMID: 34067248 PMCID: PMC8224682 DOI: 10.3390/nu13061763] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 05/14/2021] [Accepted: 05/17/2021] [Indexed: 12/21/2022] Open
Abstract
Personalized nutrition may be more effective in changing lifestyle behaviors compared to population-based guidelines. This single-arm exploratory study evaluated the impact of a 10-week personalized systems nutrition (PSN) program on lifestyle behavior and health outcomes. Healthy men and women (n = 82) completed the trial. Individuals were grouped into seven diet types, for which phenotypic, genotypic and behavioral data were used to generate personalized recommendations. Behavior change guidance was also provided. The intervention reduced the intake of calories (-256.2 kcal; p < 0.0001), carbohydrates (-22.1 g; p < 0.0039), sugar (-13.0 g; p < 0.0001), total fat (-17.3 g; p < 0.0001), saturated fat (-5.9 g; p = 0.0003) and PUFA (-2.5 g; p = 0.0065). Additionally, BMI (-0.6 kg/m2; p < 0.0001), body fat (-1.2%; p = 0.0192) and hip circumference (-5.8 cm; p < 0.0001) were decreased after the intervention. In the subgroup with the lowest phenotypic flexibility, a measure of the body's ability to adapt to environmental stressors, LDL (-0.44 mmol/L; p = 0.002) and total cholesterol (-0.49 mmol/L; p < 0.0001) were reduced after the intervention. This study shows that a PSN program in a workforce improves lifestyle habits and reduces body weight, BMI and other health-related outcomes. Health improvement was most pronounced in the compromised phenotypic flexibility subgroup, which indicates that a PSN program may be effective in targeting behavior change in health-compromised target groups.
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Affiliation(s)
- Iris M. de Hoogh
- TNO, Netherlands Organization for Applied Scientific Research, 3704 HE Zeist, The Netherlands; (I.M.d.H.); (S.B.); (T.K.); (T.J.v.d.B.); (M.P.M.C.)
| | | | | | - Sabina Bijlsma
- TNO, Netherlands Organization for Applied Scientific Research, 3704 HE Zeist, The Netherlands; (I.M.d.H.); (S.B.); (T.K.); (T.J.v.d.B.); (M.P.M.C.)
| | - Tanja Krone
- TNO, Netherlands Organization for Applied Scientific Research, 3704 HE Zeist, The Netherlands; (I.M.d.H.); (S.B.); (T.K.); (T.J.v.d.B.); (M.P.M.C.)
| | - Tim J. van den Broek
- TNO, Netherlands Organization for Applied Scientific Research, 3704 HE Zeist, The Netherlands; (I.M.d.H.); (S.B.); (T.K.); (T.J.v.d.B.); (M.P.M.C.)
| | | | - Martien P. M. Caspers
- TNO, Netherlands Organization for Applied Scientific Research, 3704 HE Zeist, The Netherlands; (I.M.d.H.); (S.B.); (T.K.); (T.J.v.d.B.); (M.P.M.C.)
| | - Joshua C. Anthony
- Habit, Oakland, CA 94607, USA;
- Campbell Soup Company, Camden, NJ 08103, USA
| | - Suzan Wopereis
- TNO, Netherlands Organization for Applied Scientific Research, 3704 HE Zeist, The Netherlands; (I.M.d.H.); (S.B.); (T.K.); (T.J.v.d.B.); (M.P.M.C.)
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Changes in Plasma Metabolome Profiles Following Oral Glucose Challenge among Adult Chinese. Nutrients 2021; 13:nu13051474. [PMID: 33925473 PMCID: PMC8146292 DOI: 10.3390/nu13051474] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 04/20/2021] [Accepted: 04/23/2021] [Indexed: 01/07/2023] Open
Abstract
Little is known about changes in plasma metabolome profiles during the oral glucose tolerance test (OGTT) in Chinese. We aimed to characterize plasma metabolomic profiles at 0 and 2 h of OGTT and their changes in individuals of different glycemic statuses. A total of 544 metabolites were detected at 0 and 2 h of OGTT by a nontarget strategy in subjects with normal glucose (n = 234), prediabetes (n = 281), and newly diagnosed type 2 diabetes (T2D) (n = 66). Regression model, mixed model, and partial least squares discrimination analysis were applied. Compared with subjects of normal glucose, T2D cases had significantly higher levels of glycerone at 0 h and 22 metabolites at 2 h of OGTT (false discovery rate (FDR) < 0.05, variable importance in projection (VIP) > 1). Seven of the twenty-two metabolites were also significantly higher in T2D than in prediabetes subjects at 2 h of OGTT (FDR < 0.05, VIP > 1). Two hours after glucose challenge, concentrations of 35 metabolites (normal: 18; prediabetes: 23; T2D: 13) significantly increased (FDR < 0.05, VIP > 1, fold change (FC) > 1.2), whereas those of 45 metabolites (normal: 36; prediabetes: 29; T2D: 18) significantly decreased (FDR < 0.05, VIP > 1, FC < 0.8). Distinct responses between cases and noncases were detected in metabolites including 4-imidazolone-5-acetate and 4-methylene-L-glutamine. More varieties of distinct metabolites across glycemic statuses were observed at 2 h of OGTT compared with fasting state. Whether the different patterns and responsiveness of certain metabolites in T2D reflect a poor resilience of specific metabolic pathways in regaining glucose homeostasis merits further study.
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Oosterman JE, Wopereis S, Kalsbeek A. The Circadian Clock, Shift Work, and Tissue-Specific Insulin Resistance. Endocrinology 2020; 161:5916887. [PMID: 33142318 DOI: 10.1210/endocr/bqaa180] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 09/25/2020] [Indexed: 01/02/2023]
Abstract
Obesity and type 2 diabetes (T2D) have become a global health concern. The prevalence of obesity and T2D is significantly higher in shift workers compared to people working regular hours. An accepted hypothesis is that the increased risk for metabolic health problems arises from aberrantly timed eating behavior, that is, eating out of synchrony with the biological clock. The biological clock is part of the internal circadian timing system, which controls not only the sleep/wake and feeding/fasting cycle, but also many metabolic processes in the body, including the timing of our eating behavior, and processes involved in glucose homeostasis. Rodent studies have shown that eating out of phase with the endogenous clock results in desynchronization between rhythms of the central and peripheral clock systems and between rhythms of different tissue clocks (eg, liver and muscle clock). Glucose homeostasis is a complex process that involves multiple organs. In the healthiest situation, functional rhythms of these organs are synchronized. We hypothesize that desynchronization between different metabolically active organs contributes to alterations in glucose homeostasis. Here we summarize the most recent information on desynchronization between organs due to shift work and shifted food intake patterns and introduce the concept of phenotypic flexibility, a validated test to assess the contribution of each organ to insulin resistance (IR) in humans. We propose this test as a way to provide further insight into the possible desynchronization between tissue clocks. Because different types of IR benefit from different therapeutic approaches, we also describe different chronotherapeutic strategies to promote synchrony within and between metabolically active organs.
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Affiliation(s)
- Johanneke E Oosterman
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), HE Zeist, the Netherlands
- Department of Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, AZ Amsterdam, the Netherlands
| | - Suzan Wopereis
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), HE Zeist, the Netherlands
| | - Andries Kalsbeek
- Department of Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, AZ Amsterdam, the Netherlands
- Hypothalamic Integration Mechanisms, Netherlands Institute for Neuroscience (NIN), An Institute of the Royal Netherlands Academy of Arts and Sciences (KNAW), BA Amsterdam, the Netherlands
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Pasman WJ, Memelink RG, de Vogel-Van den Bosch J, Begieneman MPV, van den Brink WJ, Weijs PJM, Wopereis S. Obese Older Type 2 Diabetes Mellitus Patients with Muscle Insulin Resistance Benefit from an Enriched Protein Drink during Combined Lifestyle Intervention: The PROBE Study. Nutrients 2020; 12:E2979. [PMID: 33003389 PMCID: PMC7601009 DOI: 10.3390/nu12102979] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 09/16/2020] [Accepted: 09/24/2020] [Indexed: 12/25/2022] Open
Abstract
(1) Background: Recent research showed that subtypes of patients with type 2 diabetes may differ in response to lifestyle interventions based on their organ-specific insulin resistance (IR). (2) Methods: 123 Subjects with type 2 diabetes were randomized into 13-week lifestyle intervention, receiving either an enriched protein drink (protein+) or an isocaloric control drink (control). Before and after the intervention, anthropometrical and physiological data was collected. An oral glucose tolerance test was used to calculate indices representing organ insulin resistance (muscle, liver, and adipose tissue) and β-cell functioning. In 82 study-compliant subjects (per-protocol), we retrospectively examined the intervention effect in patients with muscle IR (MIR, n = 42) and without MIR (no-MIR, n = 40). (3) Results: Only in patients from the MIR subgroup that received protein+ drink, fasting plasma glucose and insulin, whole body, liver and adipose IR, and appendicular skeletal muscle mass improved versus control. Lifestyle intervention improved body weight and fat mass in both subgroups. Furthermore, for the MIR subgroup decreased systolic blood pressure and increased VO2peak and for the no-MIR subgroup, a decreased 2-h glucose concentration was found. (4) Conclusions: Enriched protein drink during combined lifestyle intervention seems to be especially effective on increasing muscle mass and improving insulin resistance in obese older, type 2 diabetes patients with muscle IR.
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Affiliation(s)
- Wilrike J. Pasman
- Netherlands Organisation for Applied Scientific Research (TNO), 3704 HE Zeist, The Netherlands; (M.P.V.B.); (W.J.v.d.B.); (S.W.)
| | - Robert G. Memelink
- Department of Nutrition and Dietetics, Faculty of Sports and Nutrition, Center of Expertise Urban Vitality, Amsterdam University of Applied Sciences, 1067 SM Amsterdam, The Netherlands; (R.G.M.); (P.J.M.W.)
| | | | - Mark P. V. Begieneman
- Netherlands Organisation for Applied Scientific Research (TNO), 3704 HE Zeist, The Netherlands; (M.P.V.B.); (W.J.v.d.B.); (S.W.)
| | - Willem J. van den Brink
- Netherlands Organisation for Applied Scientific Research (TNO), 3704 HE Zeist, The Netherlands; (M.P.V.B.); (W.J.v.d.B.); (S.W.)
| | - Peter J. M. Weijs
- Department of Nutrition and Dietetics, Faculty of Sports and Nutrition, Center of Expertise Urban Vitality, Amsterdam University of Applied Sciences, 1067 SM Amsterdam, The Netherlands; (R.G.M.); (P.J.M.W.)
- Department of Nutrition and Dietetics, Amsterdam University Medical Centres, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands
| | - Suzan Wopereis
- Netherlands Organisation for Applied Scientific Research (TNO), 3704 HE Zeist, The Netherlands; (M.P.V.B.); (W.J.v.d.B.); (S.W.)
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Hoevenaars F, van der Kamp JW, van den Brink W, Wopereis S. Next Generation Health Claims Based on Resilience: The Example of Whole-Grain Wheat. Nutrients 2020; 12:E2945. [PMID: 32992860 PMCID: PMC7599623 DOI: 10.3390/nu12102945] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 09/21/2020] [Accepted: 09/22/2020] [Indexed: 02/08/2023] Open
Abstract
Health claims on foods are a way of informing consumers about the health benefits of a food product. Traditionally, these claims are based on scientific evaluation of markers originating from a pharmacological view on health. About a decade ago, the definition of health has been rephrased to 'the ability to adapt' that opened up the possibility for a next generation of health claims based on a new way of quantifying health by evaluating resilience. Here, we would like to introduce an opportunity for future scientific substantiation of health claims on food products by using whole-grain wheat as an example. Characterization of the individual whole wheat grain food product or whole wheat flour would probably be considered as sufficiently characterized by the European Food Safety Authority, while the food category whole grain is not specific enough. Meta-analysis provides the scientific evidence that long-term whole-grain wheat consumption is beneficial for health, although results from single 'gold standard' efficacy studies are not always straight forward based on classic measurement methods. Future studies may want to underpin the scientific argumentation that long-term whole grain wheat consumption improves resilience, by evaluating the disruption and rate of a selected panel of blood markers in response to a standardized oral protein glucose lipid tolerance test and aggregated into biomarkers with substantiated physiological benefits, to make a next-generation health claim for whole-grain wheat achievable in the near future.
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Affiliation(s)
| | | | | | - Suzan Wopereis
- Research Group Microbiology & Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), 3704HE Zeist, The Netherlands; (F.H.); (J.-W.v.d.K.); (W.v.d.B.)
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Hoevenaars FPM, Berendsen CMM, Pasman WJ, van den Broek TJ, Barrat E, de Hoogh IM, Wopereis S. Evaluation of Food-Intake Behavior in a Healthy Population: Personalized vs. One-Size-Fits-All. Nutrients 2020; 12:nu12092819. [PMID: 32942627 PMCID: PMC7551874 DOI: 10.3390/nu12092819] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 09/08/2020] [Accepted: 09/09/2020] [Indexed: 12/16/2022] Open
Abstract
In public health initiatives, generic nutrition advice (GNA) from national guidelines has a limited effect on food-intake improvement. Personalized nutrition advice (PNA) may enable dietary behavior change. A monocentric, randomized, parallel, controlled clinical trial was performed in males (n = 55) and females (n = 100) aged 25 to 70 years. Participants were allocated to control, GNA or PNA groups. The PNA group consisted of automatically generated dietary advice based on personal metabolic health parameters, dietary intake, anthropometric and hemodynamic measures, gender and age. Participants who received PNA (n = 51) improved their nutritional intake status for fruits P (p < 0.0001), whole grains (p = 0.008), unsalted nuts (p < 0.0001), fish (p = 0.0003), sugar-sweetened beverages (p = 0.005), added salt (p = 0.003) and less unhealthy choices (p = 0.002), whereas no improvements were observed in the control and GNA group. PNA participants were encouraged to set a goal for one or multiple food categories. Goal-setting led to greater improvement of food categories within the PNA group including; unsalted nuts (p < 0.0001), fruits (p = 0.0001), whole grains (p = 0.005), fish (p = 0.0001), dairy (p = 0.007), vegetables (p = 0.01) and unhealthy choices (p = 0.02). In a healthy population, participants receiving PNA changed their food-intake behavior more favorably than participants receiving GNA or no advice. When personal goals were set, nutritional behavior was more prone to change.
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Affiliation(s)
- Femke P. M. Hoevenaars
- TNO, Netherlands Organization for Applied Scientific Research, Research Group Microbiology & Systems Biology, P.O. Box 360, 3700 AJ Zeist, The Netherlands; (F.P.M.H.); (C.M.M.B.); (W.J.P.); (T.J.v.d.B.); (I.M.d.H.)
| | - Charlotte M. M. Berendsen
- TNO, Netherlands Organization for Applied Scientific Research, Research Group Microbiology & Systems Biology, P.O. Box 360, 3700 AJ Zeist, The Netherlands; (F.P.M.H.); (C.M.M.B.); (W.J.P.); (T.J.v.d.B.); (I.M.d.H.)
| | - Wilrike J. Pasman
- TNO, Netherlands Organization for Applied Scientific Research, Research Group Microbiology & Systems Biology, P.O. Box 360, 3700 AJ Zeist, The Netherlands; (F.P.M.H.); (C.M.M.B.); (W.J.P.); (T.J.v.d.B.); (I.M.d.H.)
| | - Tim J. van den Broek
- TNO, Netherlands Organization for Applied Scientific Research, Research Group Microbiology & Systems Biology, P.O. Box 360, 3700 AJ Zeist, The Netherlands; (F.P.M.H.); (C.M.M.B.); (W.J.P.); (T.J.v.d.B.); (I.M.d.H.)
| | - Emmanuel Barrat
- Laboratoire Lescuyer, Department of Research, 15 rue le Corbusier, CEDEX, F-17442 Aytré, France;
| | - Iris M. de Hoogh
- TNO, Netherlands Organization for Applied Scientific Research, Research Group Microbiology & Systems Biology, P.O. Box 360, 3700 AJ Zeist, The Netherlands; (F.P.M.H.); (C.M.M.B.); (W.J.P.); (T.J.v.d.B.); (I.M.d.H.)
| | - Suzan Wopereis
- TNO, Netherlands Organization for Applied Scientific Research, Research Group Microbiology & Systems Biology, P.O. Box 360, 3700 AJ Zeist, The Netherlands; (F.P.M.H.); (C.M.M.B.); (W.J.P.); (T.J.v.d.B.); (I.M.d.H.)
- Correspondence:
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Schoen ED, Wopereis S. A new randomization procedure based on multiple covariates and applicable to parallel studies with simultaneous enrollment of all subjects prior to intervention. BMC Med Res Methodol 2020; 20:222. [PMID: 32883212 PMCID: PMC7469365 DOI: 10.1186/s12874-020-01085-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 07/22/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Parallel intervention studies involving volunteers usually require a procedure to allocate the subjects to study-arms. Statistical models to evaluate the different outcomes of the study-arms will include study-arm as a factor along with any covariate that might affect the results. To ensure that the effects of the covariates are confounded to the least possible extent with the effects of the arms, stratified randomization can be applied. However, there is at present no clear-cut procedure when there are multiple covariates. METHODS For parallel study designs with simultaneous enrollment of all subjects prior to intervention, we propose a D-optimal blocking procedure to allocate subjects with known values of the covariates to the study arms. We prove that the procedure minimizes the variances of the baseline differences between the arms corrected for the covariates. The procedure uses standard statistical software. RESULTS We demonstrate the potential of the method by an application to a human parallel nutritional intervention trial with three arms and 162 healthy volunteers. The covariates were gender, age, body mass index, an initial composite health score, and a categorical indicator called first-visit group, defining groups of volunteers who visit the clinical centre on the same day (17 groups). Volunteers were allocated equally to the study-arms by the D-optimal blocking procedure. The D-efficiency of the model connecting an outcome with the study-arms and correcting for the covariates equals 99.2%. We simulated 10,000 random allocations of subjects to arms either unstratified or stratified by first-visit group. Intervals covering the middle 95% of the D-efficiencies for these allocations were [82.0, 92.0] and [93.2, 98.4], respectively. CONCLUSIONS Allocation of volunteers to study-arms with a D-optimal blocking procedure with the values of the covariates as inputs substantially improves the efficiency of the statistical model that connects the response with the study arms and corrects for the covariates. TRIAL REGISTRATION Dutch Trial Register NL7054 ( NTR7259 ). Registered May 15, 2018.
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Affiliation(s)
- Eric D Schoen
- TNO, Utrechtseweg 48, Zeist, 3700 AJ, Netherlands. .,Faculty of Bioengineering Sciences, KU Leuven, Kasteelpark Arenberg 30-Box 2456, Leuven, 3001, Belgium.
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Griffiths JC, De Vries J, McBurney MI, Wopereis S, Serttas S, Marsman DS. Measuring health promotion: translating science into policy. Eur J Nutr 2020; 59:11-23. [PMID: 32852581 PMCID: PMC7497380 DOI: 10.1007/s00394-020-02359-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Commonly, it is the end of life when our health is deteriorating, that many will make drastic lifestyle changes to improve their quality of life. However, it is increasingly recognized that bringing good health-promoting behaviors into practice as early in life as possible has the most significant impact across the maximal healthspan. The WHO has brought clarity to health promotion over the last fifteen years, always centering on language relating to a process of enabling people to increase control over, and to improve, their physical, mental and social health. A good healthspan is not just freedom from morbidity and mortality, it is that joie de vivre ("joy of living") that should accompany every day of our lifespan. Therefore, health promotion includes not only the health sector, but also needs individual commitment to achieve that target of a healthspan aligned with the lifespan. This paper explores health promotion and health literacy, and how to design appropriate nutritional studies to characterize contributors to a positive health outcome, the role the human microbiome plays in promoting health and addressing and alleviating morbidity and diseases, and finally how to characterize phenotypic flexibility and a physiologic resilience that we must maintain as our structural and functional systems are bombarded with the insults and perturbations of life.
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Affiliation(s)
- James C Griffiths
- Council for Responsible Nutrition-International, Washington, DC, USA.
| | - Jan De Vries
- Nutrition in Transition Foundation, Gorssel, The Netherlands
| | - Michael I McBurney
- Department of Human Health & Nutritional Sciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - Suzan Wopereis
- Research Group Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Utrechtseweg 48, NL-3704 HE, Zeist, The Netherlands
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Wickramasinghe K, Mathers JC, Wopereis S, Marsman DS, Griffiths JC. From lifespan to healthspan: the role of nutrition in healthy ageing. J Nutr Sci 2020; 9:e33. [PMID: 33101660 PMCID: PMC7550962 DOI: 10.1017/jns.2020.26] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 07/13/2020] [Accepted: 07/14/2020] [Indexed: 12/14/2022] Open
Abstract
Across the globe, there has been a marked increase in longevity, but significant inequalities remain. These are exacerbated by inadequate access to proper nutrition and health care services and to reliable information to make the decisions related to nutrition and health care. Many in economically developing as well as developed societies are plagued with the double-burden of energy excess and undernutrition. This has resulted in mental and physical deterioration, increased non-communicable disease rates, lost productivity, increased medical costs and reduced quality of life. While adequate nutrition is fundamental to good health at all stages of the life course, the impact of diet on prolonging good quality of life during ageing remains unclear. For progress to continue, there is need for new and/or innovative approaches to promoting health as individuals age, as well as qualitative and quantitative biomarkers and other accepted tools that can measure improvements in physiological integrity throughout life. A framework for progress has been proposed by the World Health Organization in their Global Strategy and Action Plan on Ageing and Health. Here, we focused on the impact of nutrition within this framework, which takes a broad, person-centred emphasis on healthy ageing, stressing the need to better understand each individual's intrinsic capacity, their functional abilities at various life stages, and the impact of their mental, and physical health, as well as the environments they inhabit.
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Affiliation(s)
- Kremlin Wickramasinghe
- WHO European Office for Prevention and Control of Noncommunicable Diseases (NCD Office), Moscow, Russian Federation
| | - John C. Mathers
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon TyneNE2 4HH, UK
| | - Suzan Wopereis
- Research Group Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Zeist, NL-3704 HE, The Netherlands
| | | | - James C. Griffiths
- International and Scientific Affairs, Council for Responsible Nutrition-International, Washington, DC20036, USA
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Postprandial Metabolism is Impaired in Overweight Normoglycemic Young Adults without Family History of Diabetes. Sci Rep 2020; 10:353. [PMID: 31941993 PMCID: PMC6962374 DOI: 10.1038/s41598-019-57257-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 12/24/2019] [Indexed: 02/08/2023] Open
Abstract
While the risk factors for Type 2 diabetes (T2DM) are known, early predictive markers of transition from normal to a prediabetes state are unidentified. We studied the basal metabolism and metabolic response to a mixed-meal challenge in 110 healthy subjects in the age group of 18 to 40 years (Male:Female = 1:1); grouped into first degree relatives of patients with T2DM (n = 30), those with a body mass index >23 kg/m2 but <30 kg/m2 (n = 30), those with prediabetes (n = 20) and normal controls (n = 30). We performed an untargeted metabolomics analysis of plasma and related that with clinical and biochemical parameters, markers of inflammation, and insulin sensitivity. Similar to prediabetes subjects, overweight subjects had insulin resistance and significantly elevated levels of C-peptide, adiponectin and glucagon and lower level of ghrelin. Metabolites such as MG(22:2(13Z, 16Z)/0:0/0:0) and LysoPC (15:0) were reduced in overweight and prediabetes subjects. Insulin sensitivity was significantly lower in men. Fasting levels of uric acid, xanthine, and glycochenodeoxycholic-3-glucuronide were elevated in men. However, both lysophospholipids and antioxidant defense metabolites were higher in women. Impaired postprandial metabolism and insulin sensitivity in overweight normoglycemic young adults indicates a risk of developing hyperglycemia. Our results also indicate a higher risk of diabetes in young men.
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Abstract
Thanks to advances in modern medicine over the past century, the world’s population has experienced a marked increase in longevity. However, disparities exist that lead to groups with both shorter lifespan and significantly diminished health, especially in the aged. Unequal access to proper nutrition, healthcare services, and information to make informed health and nutrition decisions all contribute to these concerns. This in turn has hastened the ageing process in some and adversely affected others’ ability to age healthfully. Many in developing as well as developed societies are plagued with the dichotomy of simultaneous calorie excess and nutrient inadequacy. This has resulted in mental and physical deterioration, increased non-communicable disease rates, lost productivity and quality of life, and increased medical costs. While adequate nutrition is fundamental to good health, it remains unclear what impact various dietary interventions may have on improving healthspan and quality of life with age. With a rapidly ageing global population, there is an urgent need for innovative approaches to health promotion as individual’s age. Successful research, education, and interventions should include the development of both qualitative and quantitative biomarkers and other tools which can measure improvements in physiological integrity throughout life. Data-driven health policy shifts should be aimed at reducing the socio-economic inequalities that lead to premature ageing. A framework for progress has been proposed and published by the World Health Organization in its Global Strategy and Action Plan on Ageing and Health. This symposium focused on the impact of nutrition on this framework, stressing the need to better understand an individual’s balance of intrinsic capacity and functional abilities at various life stages, and the impact this balance has on their mental and physical health in the environments they inhabit.
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48
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Fechner E, Bilet L, Peters HPF, Hiemstra H, Jacobs DM, Op 't Eyndt C, Kornips E, Mensink RP, Schrauwen P. Effects of a whole diet approach on metabolic flexibility, insulin sensitivity and postprandial glucose responses in overweight and obese adults - A randomized controlled trial. Clin Nutr 2019; 39:2734-2742. [PMID: 31899037 DOI: 10.1016/j.clnu.2019.12.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 11/13/2019] [Accepted: 12/06/2019] [Indexed: 12/31/2022]
Abstract
BACKGROUND & AIMS Metabolic flexibility is the ability to adapt fuel oxidation to fuel availability. Metabolic inflexibility has been associated with obesity, the metabolic syndrome and insulin resistance, and can be improved by exercise or weight loss. Dietary changes can modulate metabolic flexibility; however, the effect of a whole diet approach on metabolic flexibility has never been studied. Therefore, our objective was to assess the effect of a healthy diet (HD), as compared to a typical Western diet (WD), on several fasting and postprandial markers of metabolic flexibility and insulin sensitivity. METHODS In this parallel randomized trial, overweight or obese men and women (50-70 years; BMI 25-35 kg/m2) consumed a healthy diet (HD; high in fruits and vegetables, pulses, fibers, nuts, fatty fish, and low in high-glycemic carbohydrates; n = 19) or a typical Western diet (WD; n = 21) for six weeks, following a two-week run-in period. The change in respiratory quotient upon insulin stimulation (ΔRQ), and insulin sensitivity, expressed as the M-value, were both determined with a hyperinsulinemic euglycemic clamp. Additionally, other fasting and postprandial markers of metabolic flexibility were assessed during a 5-h high-fat high-glycemic mixed meal challenge. RESULTS ΔRQ (p = 0.730) and insulin sensitivity (p = 0.802) were not significantly affected by diet. Postprandial RQ did also not show significant differences (p = 0.610), whereas postprandial glucose excursions were significantly higher in the HD group at T30 (p = 0.014) and T45 (p = 0.026) after mixed meal ingestion (p = 0.037). Fasting glucose (p = 0.530) and HbA1c (p = 0.124) remained unchanged, whereas decreases in fasting insulin (p = 0.038) and the HOMA-IR (p = 0.050) were significantly more pronounced with the HD. CONCLUSION A healthy diet for six weeks, without further life-style changes, did not improve metabolic flexibility and whole-body insulin sensitivity, when compared to a Western-style diet. It remains to be determined whether the short time increase in postprandial glucose is physiologically relevant or detrimental to metabolic health. This trial was registered at clinicaltrials.gov as NCT02519127.
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Affiliation(s)
- Eva Fechner
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Maastricht, the Netherlands.
| | - Lena Bilet
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Maastricht, the Netherlands
| | | | - Harry Hiemstra
- Unilever Food Innovation Center, Wageningen, the Netherlands
| | - Doris M Jacobs
- Unilever Food Innovation Center, Wageningen, the Netherlands
| | - Cara Op 't Eyndt
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Maastricht, the Netherlands
| | - Esther Kornips
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Maastricht, the Netherlands
| | - Ronald P Mensink
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Maastricht, the Netherlands
| | - Patrick Schrauwen
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Maastricht, the Netherlands.
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Hoevenaars FPM, Esser D, Schutte S, Priebe MG, Vonk RJ, van den Brink WJ, van der Kamp JW, Stroeve JHM, Afman LA, Wopereis S. Whole Grain Wheat Consumption Affects Postprandial Inflammatory Response in a Randomized Controlled Trial in Overweight and Obese Adults with Mild Hypercholesterolemia in the Graandioos Study. J Nutr 2019; 149:2133-2144. [PMID: 31504709 PMCID: PMC6887734 DOI: 10.1093/jn/nxz177] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Revised: 03/27/2019] [Accepted: 07/03/2019] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Whole grain wheat (WGW) consumption is associated with health benefits in observational studies. However, WGW randomized controlled trial (RCT) studies show mixed effects. OBJECTIVES The health impact of WGW consumption was investigated by quantification of the body's resilience, which was defined as the "ability to adapt to a standardized challenge." METHODS A double-blind RCT was performed with overweight and obese (BMI: 25-35 kg/m2) men (n = 19) and postmenopausal women (n = 31) aged 45-70 y, with mildly elevated plasma total cholesterol (>5 mmol/L), who were randomly assigned to either 12-wk WGW (98 g/d) or refined wheat (RW). Before and after the intervention a standardized mixed-meal challenge was performed. Plasma samples were taken after overnight fasting and postprandially (30, 60, 120, and 240 min). Thirty-one biomarkers were quantified focusing on metabolism, liver, cardiovascular health, and inflammation. Linear mixed-models evaluated fasting compared with postprandial intervention effects. Health space models were used to evaluate intervention effects as composite markers representing resilience of inflammation, liver, and metabolism. RESULTS Postprandial biomarker changes related to liver showed decreased alanine aminotransferase by WGW (P = 0.03) and increased β-hydroxybutyrate (P = 0.001) response in RW. Postprandial changes related to inflammation showed increased C-reactive protein (P = 0.001), IL-6 (P = 0.02), IL-8 (P = 0.007), and decreased IL-1B (P = 0.0002) in RW and decreased C-reactive protein (P < 0.0001), serum amyloid A (P < 0.0001), IL-8 (P = 0.02), and IL-10 (P < 0.0001) in WGW. Health space visualization demonstrated diminished inflammatory (P < 0.01) and liver resilience (P < 0.01) by RW, whereas liver resilience was rejuvenated by WGW (P < 0.05). CONCLUSIONS Twelve-week 98 g/d WGW consumption can promote liver and inflammatory resilience in overweight and obese subjects with mildly elevated plasma cholesterol. The health space approach appeared appropriate to evaluate intervention effects as composite markers. This trial was registered at www.clinicaltrials.gov as NCT02385149.
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Affiliation(s)
- Femke P M Hoevenaars
- TNO, Netherlands Organization for Applied Scientific Research, Zeist, Netherlands
| | - Diederik Esser
- Wageningen University, Division of Human Nutrition, Wageningen, Netherlands
| | - Sophie Schutte
- Wageningen University, Division of Human Nutrition, Wageningen, Netherlands
| | - Marion G Priebe
- University Medical Center Groningen, University of Groningen, Center for Medical Biomics, Groningen, Netherlands
| | - Roel J Vonk
- University Medical Center Groningen, University of Groningen, Center for Medical Biomics, Groningen, Netherlands
| | | | | | - Johanna H M Stroeve
- TNO, Netherlands Organization for Applied Scientific Research, Zeist, Netherlands
| | - Lydia A Afman
- Wageningen University, Division of Human Nutrition, Wageningen, Netherlands
| | - Suzan Wopereis
- TNO, Netherlands Organization for Applied Scientific Research, Zeist, Netherlands
- Address correspondence to SW (e-mail: )
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50
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Bravo C, Santos JL, Castillo G, Olivares G, Parada J. Microstructure of starch-based meals with either palm or soybean oils alter in vitro starch digestibility with no major effects on glycaemic responses. Int J Food Sci Nutr 2019; 71:604-613. [PMID: 31746260 DOI: 10.1080/09637486.2019.1693521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Glycaemic response (GR) to starch-based meals depends on their food composition and microstructure. We studied the effect of palm and soybean oils on the microstructure of a solid starch-oil-gluten matrix, on the starch gelatinisation and in vitro digestibility. Additionally, a pilot cross-over study was carried out to assess GR after eating gelatinised starch/gluten-based foods with the addition of either palm or soybean oil in 8 young non-diabetic female volunteers (ISRCTN39636850). Both types of foods generated similar starch gelatinisation temperature. Starch/gluten-based food with soybean oil had rougher microstructure compared to food with palm oil, showing a higher initial and lower final in vitro digestion. Administration of starch/gluten-based meals with either palm or soybean oils to volunteers show very similar postprandial glucose or insulin responses. In conclusion, differences in fatty acid composition changes food microstructure and in vitro starch digestibility, with no major effects on glycaemic responses in female volunteers.
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Affiliation(s)
- Carolina Bravo
- Department of Nutrition, Diabetes and Metabolism, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - José L Santos
- Department of Nutrition, Diabetes and Metabolism, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Gabriel Castillo
- Escuela de Ingeniería en Alimentos, Faculty of Agricultural Sciences, Universidad Austral de Chile, Valdivia, Chile
| | - Gabriela Olivares
- Escuela de Ingeniería en Alimentos, Faculty of Agricultural Sciences, Universidad Austral de Chile, Valdivia, Chile
| | - Javier Parada
- Faculty of Agricultural Sciences, Institute of Food Science and Technology, Universidad Austral de Chile, Valdivia, Chile
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