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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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Calderón-Pérez L, Escoté X, Companys J, Alcaide-Hidalgo JM, Bosch M, Rabassa M, Crescenti A, Valls RM, Pedret A, Solà R, Mariné R, Gil-Cardoso K, Rodríguez MA, Palacios H, Del Pino A, Guirro M, Canela N, Suñol D, Galofré M, Galmés S, Palou-March A, Serra F, Caimari A, Gutiérrez B, Del Bas JM. A single-blinded, randomized, parallel intervention to evaluate genetics and omics-based personalized nutrition in general population via an e-commerce tool: The PREVENTOMICS e-commerce study. Am J Clin Nutr 2024; 120:129-144. [PMID: 38960570 DOI: 10.1016/j.ajcnut.2024.04.004] [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: 09/26/2023] [Revised: 03/04/2024] [Accepted: 04/02/2024] [Indexed: 07/05/2024] Open
Abstract
BACKGROUND Personalized nutrition (PN) has been proposed as a strategy to increase the effectiveness of dietary recommendations and ultimately improve health status. OBJECTIVES We aimed to assess whether including omics-based PN in an e-commerce tool improves dietary behavior and metabolic profile in general population. METHODS A 21-wk parallel, single-blinded, randomized intervention involved 193 adults assigned to a control group following Mediterranean diet recommendations (n = 57, completers = 36), PN (n = 70, completers = 45), or personalized plan (PP, n = 68, completers = 53) integrating a behavioral change program with PN recommendations. The intervention used metabolomics, proteomics, and genetic data to assist participants in creating personalized shopping lists in a simulated e-commerce retailer portal. The primary outcome was the Mediterranean diet adherence screener (MEDAS) score; secondary outcomes included biometric and metabolic markers and dietary habits. RESULTS Volunteers were categorized with a scoring system based on biomarkers of lipid, carbohydrate metabolism, inflammation, oxidative stress, and microbiota, and dietary recommendations delivered accordingly in the PN and PP groups. The intervention significantly increased MEDAS scores in all volunteers (control-3 points; 95% confidence interval [CI]: 2.2, 3.8; PN-2.7 points; 95% CI: 2.0, 3.3; and PP-2.8 points; 95% CI: 2.1, 3.4; q < 0.001). No significant differences were observed in dietary habits or health parameters between PN and control groups after adjustment for multiple comparisons. Nevertheless, personalized recommendations significantly (false discovery rate < 0.05) and selectively enhanced the scores calculated with biomarkers of carbohydrate metabolism (β: -0.37; 95% CI: -0.56, -0.18), oxidative stress (β: -0.37; 95% CI: -0.60, -0.15), microbiota (β: -0.38; 95% CI: -0.63, -0.15), and inflammation (β: -0.78; 95% CI: -1.24, -0.31) compared with control diet. CONCLUSIONS Integration of personalized strategies within an e-commerce-like tool did not enhance adherence to Mediterranean diet or improved health markers compared with general recommendations. The metabotyping approach showed promising results and more research is guaranteed to further promote its application in PN. This trial was registered at clinicaltrials.gov as NCT04641559 (https://clinicaltrials.gov/study/NCT04641559?cond=NCT04641559&rank=1).
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Affiliation(s)
| | - Xavier Escoté
- Eurecat, Centre Tecnològic de Catalunya, Nutrition and Health Unit, Reus, Spain
| | - Judit Companys
- Eurecat, Centre Tecnològic de Catalunya, Nutrition and Health Unit, Reus, Spain
| | | | - Mireia Bosch
- Eurecat, Centre Tecnològic de Catalunya, Nutrition and Health Unit, Reus, Spain
| | - Montserrat Rabassa
- Eurecat, Centre Tecnològic de Catalunya, Nutrition and Health Unit, Reus, Spain; Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Nutrition and Food Safety Research Institute (INSA), Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de Barcelona (UB), Barcelona, Spain
| | - Anna Crescenti
- Eurecat, Centre Tecnològic de Catalunya, Nutrition and Health Unit, Reus, Spain
| | - Rosa M Valls
- Functional Nutrition, Oxidation and Cardiovascular Diseases Group (NFOC-Salut), Facultat de Medicina i Ciències de la Salut, Universitat Rovira i Virgili, Reus, Spain
| | - Anna Pedret
- Functional Nutrition, Oxidation and Cardiovascular Diseases Group (NFOC-Salut), Facultat de Medicina i Ciències de la Salut, Universitat Rovira i Virgili, Reus, Spain
| | - Rosa Solà
- Functional Nutrition, Oxidation and Cardiovascular Diseases Group (NFOC-Salut), Facultat de Medicina i Ciències de la Salut, Universitat Rovira i Virgili, Reus, Spain; Internal Medicine Service, Hospital Universitari Sant Joan de Reus, Reus, Spain
| | - Roger Mariné
- Eurecat, Centre Tecnològic de Catalunya, Nutrition and Health Unit, Reus, Spain
| | | | - Miguel A Rodríguez
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Reus, Spain
| | - Héctor Palacios
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Reus, Spain
| | - Antoni Del Pino
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Reus, Spain
| | - María Guirro
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Reus, Spain
| | - Núria Canela
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Reus, Spain
| | - David Suñol
- Eurecat, Centre Tecnològic de Catalunya, Digital Health, Barcelona, Spain
| | - Mar Galofré
- Eurecat, Centre Tecnològic de Catalunya, Digital Health, Barcelona, Spain
| | - Sebastià Galmés
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics, Biomarkers and Risk Evaluation - NuBE), University of the Balearic Islands, Palma, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain; Centro de investigación Biomédica en red de Fisiopatología de la obesidad y nutrición, Instituto de Salud Carlos III, Madrid, Spain; Alimentómica S.L. Camí de na Pontons, Campanet, Spain
| | - Andreu Palou-March
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics, Biomarkers and Risk Evaluation - NuBE), University of the Balearic Islands, Palma, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain; Centro de investigación Biomédica en red de Fisiopatología de la obesidad y nutrición, Instituto de Salud Carlos III, Madrid, Spain; Alimentómica S.L. Camí de na Pontons, Campanet, Spain
| | - Francisca Serra
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics, Biomarkers and Risk Evaluation - NuBE), University of the Balearic Islands, Palma, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain; Centro de investigación Biomédica en red de Fisiopatología de la obesidad y nutrición, Instituto de Salud Carlos III, Madrid, Spain; Alimentómica S.L. Camí de na Pontons, Campanet, Spain
| | - Antoni Caimari
- Eurecat, Centre Tecnològic de Catalunya, Biotechnology Area, Reus, Spain
| | - Biotza Gutiérrez
- Eurecat, Centre Tecnològic de Catalunya, Biotechnology Area, Reus, Spain
| | - Josep M Del Bas
- Eurecat, Centre Tecnològic de Catalunya, Biotechnology Area, Reus, Spain.
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3
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Reik A, Schauberger G, Wiechert M, Hauner H, Holzapfel C. Association Between the Postprandial Response to an Oral Glucose Tolerance Test and Anthropometric Changes After an 8-Week Low-Calorie Formula Diet - Results From the Lifestyle Intervention (LION) Study. Mol Nutr Food Res 2024; 68:e2400106. [PMID: 38850172 DOI: 10.1002/mnfr.202400106] [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: 02/09/2024] [Revised: 05/07/2024] [Indexed: 06/10/2024]
Abstract
SCOPE Interindividual variations in postprandial metabolism and weight loss outcomes have been reported. The literature suggests links between postprandial metabolism and weight regulation. Therefore, the study aims to evaluate if postprandial glucose metabolism after a glucose load predicts anthropometric outcomes of a weight loss intervention. METHODS AND RESULTS Anthropometric data from adults with obesity (18-65 years, body mass index [BMI] 30.0-39.9 kg m-2) are collected pre- and post an 8-week formula-based weight loss intervention. An oral glucose tolerance test (OGTT) is performed at baseline, from which postprandial parameters are derived from glucose and insulin concentrations. Linear regression models explored associations between these parameters and anthropometric changes (∆) postintervention. A random forest model is applied to identify predictive parameters for anthropometric outcomes after intervention. Postprandial parameters after an OGTT of 158 participants (63.3% women, age 45 ± 12, BMI 34.9 ± 2.9 kg m-2) reveal nonsignificant associations with changes in anthropometric parameters after weight loss (p > 0.05). Baseline fat-free mass (FFM) and sex are primary predictors for ∆ FFM [kg]. CONCLUSION Postprandial glucose metabolism after a glucose load does not predict anthropometric outcomes after short-term weight loss via a formula-based low-calorie diet in adults with obesity.
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Affiliation(s)
- Anna Reik
- Institute for Nutritional Medicine, School of Medicine and Health, Technical University of Munich, 80992, Munich, Germany
| | - Gunther Schauberger
- Chair of Epidemiology, School of Medicine and Health, Technical University of Munich, 80992, Munich, Germany
| | - Meike Wiechert
- Institute for Nutritional Medicine, School of Medicine and Health, Technical University of Munich, 80992, Munich, Germany
| | - Hans Hauner
- Institute for Nutritional Medicine, School of Medicine and Health, Technical University of Munich, 80992, Munich, Germany
- Else Kroener-Fresenius-Center for Nutritional Medicine, School of Life Sciences, Technical University of Munich, 85354, Freising, Germany
| | - Christina Holzapfel
- Institute for Nutritional Medicine, School of Medicine and Health, Technical University of Munich, 80992, Munich, Germany
- Department of Nutritional, Food and Consumer Sciences, Fulda University of Applied Sciences, 36037, Fulda, Germany
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4
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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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5
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Rundle M, Fiamoncini J, Thomas EL, Wopereis S, Afman LA, Brennan L, Drevon CA, Gundersen TE, Daniel H, Perez IG, Posma JM, Ivanova DG, Bell JD, van Ommen B, Frost G. Diet-induced Weight Loss and Phenotypic Flexibility Among Healthy Overweight Adults: A Randomized Trial. Am J Clin Nutr 2023; 118:591-604. [PMID: 37661105 PMCID: PMC10517213 DOI: 10.1016/j.ajcnut.2023.07.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 06/28/2023] [Accepted: 07/03/2023] [Indexed: 09/05/2023] Open
Abstract
BACKGROUND The capacity of an individual to respond to changes in food intake so that postprandial metabolic perturbations are resolved, and metabolism returns to its pre-prandial state, is called phenotypic flexibility. This ability may be a more important indicator of current health status than metabolic markers in a fasting state. AIM In this parallel randomized controlled trial study, an energy-restricted healthy diet and 2 dietary challenges were used to assess the effect of weight loss on phenotypic flexibility. METHODS Seventy-two volunteers with overweight and obesity underwent a 12-wk dietary intervention. The participants were randomized to a weight loss group (WLG) with 20% less energy intake or a weight-maintenance group (WMG). At weeks 1 and 12, participants were assessed for body composition by MRI. Concurrently, markers of metabolism and insulin sensitivity were obtained from the analysis of plasma metabolome during 2 different dietary challenges-an oral glucose tolerance test (OGTT) and a mixed-meal tolerance test. RESULTS Intended weight loss was achieved in the WLG (-5.6 kg, P < 0.0001) and induced a significant reduction in total and regional adipose tissue as well as ectopic fat in the liver. Amino acid-based markers of insulin action and resistance such as leucine and glutamate were reduced in the postprandial phase of the OGTT in the WLG by 11.5% and 28%, respectively, after body weight reduction. Weight loss correlated with the magnitude of changes in metabolic responses to dietary challenges. Large interindividual variation in metabolic responses to weight loss was observed. CONCLUSION Application of dietary challenges increased sensitivity to detect metabolic response to weight loss intervention. Large interindividual variation was observed across a wide range of measurements allowing the identification of distinct responses to the weight loss intervention and mechanistic insight into the metabolic response to weight loss.
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Affiliation(s)
- Milena Rundle
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Jarlei Fiamoncini
- Food Research Center, Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil
| | - E Louise Thomas
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom
| | - Suzan Wopereis
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research, Hague, The Netherlands
| | - Lydia A Afman
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Lorraine Brennan
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin, Ireland
| | - Christian A Drevon
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway; Vitas Ltd, Oslo Science Park, Oslo, Norway
| | | | - Hannelore Daniel
- Hannelore Daniel, Molecular Nutrition Unit, Technische Universität München, München, Germany
| | - Isabel Garcia Perez
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Joram M Posma
- Section of Bioinformatics, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Diana G Ivanova
- Department of Biochemistry, Molecular Medicine and Nutrigenomics, Faculty of Pharmacy, Medical University, Varna, Bulgaria
| | - Jimmy D Bell
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom
| | - Ben van Ommen
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research, Hague, The Netherlands
| | - Gary Frost
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom.
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6
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Stancil SL, Voss M, Nolte W, Tumberger J, Adelman W, Abdel‐Rahman S. Effects of genotype and food on naltrexone exposure in adolescents. Clin Transl Sci 2022; 15:2732-2743. [PMID: 36200172 PMCID: PMC9652442 DOI: 10.1111/cts.13399] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 08/17/2022] [Accepted: 08/25/2022] [Indexed: 01/26/2023] Open
Abstract
Naltrexone (NTX), an opioid antagonist metabolized by aldo-keto reductase 1C4 (AKR1C4), is prescribed for psychiatric conditions like eating disorders with variable response. Systemic exposure is highly variable in adults, yet no data exist in children. The purpose of this study was to evaluate NTX exposure in adolescents with eating disorders. Adolescents aged 12-21 years with eating disorders underwent postdose blood sampling in the fasted and/or fed state. NTX and primary active metabolite, 6-β-naltrexol, were determined by ultra-high performance liquid chromatography tandem mass spectrometry. Pharmacokinetic parameters were determined by noncompartmental analysis. DNA was genotyped for AKR1C4 missense mutations associated with decreased activity (rs3829125 and rs17134592). Linear mixed effects modeling was performed. In 21 participants, aged 16.9 ± 1.9 years (15-21 years), 81% female participants, maximum concentration (Cmax ) was 90.4 ± 129 nM/mg/kg, area under the concentration-time curve from zero to infinity (AUC0-∞ ) was 166 ± 154 nM h/mg/kg, and varied 63-fold and 21-fold, respectively. Compared with wildtype, those with AKR1C4 allelic variations (n = 7) displayed 3.2-fold higher AUC0-∞ , four-fold higher Cmax and delayed time to Tmax . Linear mixed effects modeling demonstrated a large effect of genotype on AUC0-∞ (Cohen's d -2.3) and Cmax (Cohen's d -1.4). Food effect was large for AUC0-∞ (Cohen's d 2.6), but highly variable and failed to reach significance for Cmax. The respective model accounted for 82% of the variance in NTX AUC0-∞ and 46% of the variance in Cmax . NTX systemic exposure is highly variable in adolescents with eating disorders and modulated, in part, by AKR1C4 genotype and food intake. These findings may, in part, explain the large degree of interindividual variability observed response to NTX.
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Affiliation(s)
- Stephani L. Stancil
- Division of Adolescent MedicineChildren's Mercy Hospital – Kansas CityKansas CityMissouriUSA
- Division of Clinical Pharmacology, Toxicology and Therapeutic InnovationChildren's Mercy Hospital – Kansas CityKansas CityMissouriUSA
- Department of PediatricsUniversity of Missouri‐Kansas City School of MedicineKansas CityMissouriUSA
| | - Michaela Voss
- Division of Adolescent MedicineChildren's Mercy Hospital – Kansas CityKansas CityMissouriUSA
- Department of PediatricsUniversity of Missouri‐Kansas City School of MedicineKansas CityMissouriUSA
| | - Whitney Nolte
- Division of Clinical Pharmacology, Toxicology and Therapeutic InnovationChildren's Mercy Hospital – Kansas CityKansas CityMissouriUSA
- Department of PediatricsUniversity of Missouri‐Kansas City School of MedicineKansas CityMissouriUSA
| | - John Tumberger
- Division of Adolescent MedicineChildren's Mercy Hospital – Kansas CityKansas CityMissouriUSA
| | - William Adelman
- Department of Student Health and Counseling, Division of WellnessThe University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Susan Abdel‐Rahman
- Division of Clinical Pharmacology, Toxicology and Therapeutic InnovationChildren's Mercy Hospital – Kansas CityKansas CityMissouriUSA
- Department of PediatricsUniversity of Missouri‐Kansas City School of MedicineKansas CityMissouriUSA
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7
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Fiamoncini J, Rist MJ, Frommherz L, Giesbertz P, Pfrang B, Kremer W, Huber F, Kastenmüller G, Skurk T, Hauner H, Suhre K, Daniel H, Kulling SE. Dynamics and determinants of human plasma bile acid profiles during dietary challenges. Front Nutr 2022; 9:932937. [PMID: 35967802 PMCID: PMC9366195 DOI: 10.3389/fnut.2022.932937] [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: 04/30/2022] [Accepted: 07/01/2022] [Indexed: 11/30/2022] Open
Abstract
In recent years, bile acids (BA) have received great interest due to their pleiotropic biological activity and the presence of plasma membrane-bound and nuclear receptors. Moreover, BA in blood have been identified by metabolite screening approaches as biomarkers that are associated with various diseases and even with a human longevity phenotype. With the growing interest in the microbiota contribution to the health-disease trajectory, BA that undergo deconjugation and other modifications by bacteria in the large intestine have become a prime target as a microbiome diversity modifier. We here profiled BA by a quantitative and a semiquantitative approach in 15 healthy and phenotypically very similar young individuals for over a 36-h fasting period, an oral glucose tolerance test (OGTT), and an oral lipid tolerance test (OLTT). We demonstrate a remarkable heterogeneity of the responses and describe the different dynamics of the plasma changes that likely originate from different routes by which BA enters the peripheral blood, and that may represent a direct secretion from the liver into the blood and a route that reaches the blood as a spill-over after passing from the gallbladder through the intestine and the portal system. We discuss the finding that an individual transport process involved in the passage of BA could be a critical determinant in the kinetics of plasma appearance and the overall phenotypic variability found.
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Affiliation(s)
- Jarlei Fiamoncini
- Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, Food Research Center - FoRC, University of São Paulo, São Paulo, Brazil
| | - Manuela J Rist
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Karlsruhe, Germany
| | - Lara Frommherz
- Department of Safety and Quality of Fruit and Vegetables, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Karlsruhe, Germany
| | - Pieter Giesbertz
- Department of Nutritional Physiology, Technische Universität München, Freising-Weihenstephan, Germany
| | - Birgit Pfrang
- Department of Safety and Quality of Fruit and Vegetables, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Karlsruhe, Germany
| | - Werner Kremer
- Biophysics I, Regensburg Center for Biochemistry, Universität Regensburg, Regensburg, Germany
| | - Fritz Huber
- Department of Nutritional Physiology, Technische Universität München, Freising-Weihenstephan, Germany
| | - Gabi Kastenmüller
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Thomas Skurk
- Chair of Nutritional Medicine, Else Kroener-Fresenius-Centre for Nutritional Medicine, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Hans Hauner
- Chair of Nutritional Medicine, Else Kroener-Fresenius-Centre for Nutritional Medicine, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Karsten Suhre
- Bioinformatics Core, Research Department, Weill Cornell Medicine in Qatar, Doha, Qatar
| | - Hannelore Daniel
- Department of Nutritional Physiology, Technische Universität München, Freising-Weihenstephan, Germany
| | - Sabine E Kulling
- Department of Safety and Quality of Fruit and Vegetables, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Karlsruhe, Germany
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