Age-Dependent Serum Volatilomics of Milk and Yogurt Intake: A Randomized Crossover Study in Healthy Young and Older Men

Nutritional biomarkers of dairy intake can be affected by both food transformation and the metabolic status of the consumer. To assess these effects, this study investigated the serum volatilome of 14 young (YA) and 14 older (OA) adult men undergoing a 3 week restriction of dairy and fermented foods followed by a randomized crossover acute intake of milk and yogurt. 3,5-Dimethyl-octan-2-one was identified as a potential marker of dairy product intake as its response after both milk and yogurt intake was significantly increased during the postprandial phase but significantly decreased in fasting serum samples of the OA group after the restriction phase. The postprandial response of two metabolites was significantly different for the two dairy products while 19 metabolites were modulated by age. Remarkably, the response of all age-dependent metabolites was higher in the OA than in the YA group after milk or yogurt intake, whereas at the end of the restriction phase, their fasting concentrations were lower in the OA than in the YA group. Among these, p-cresol, a specific marker of colonic protein fermentation, had a significant response in the OA but not the YA group, which may suggest impaired intestinal processing of dietary proteins in the OA group.

[1]  N. Vionnet,et al.  Serum and Urine Metabolites in Healthy Men after Consumption of Acidified Milk and Yogurt , 2022, Nutrients.

[2]  M. Fenech,et al.  Personalised Nutritional Recommendations Based on Individual Post-Prandial Glycaemic Responses Improve Glycaemic Metrics and PROMs in Patients with Type 2 Diabetes: A Real-World Assessment , 2022, Nutrients.

[3]  F. Mariotti,et al.  Investigating the Postprandial Metabolome after Challenge Tests to Assess Metabolic Flexibility and Dysregulations Associated with Cardiometabolic Diseases , 2022, Nutrients.

[4]  S. Shetty,et al.  Effect of medium chain fatty acid in human health and disease , 2021, Journal of Functional Foods.

[5]  A. Astrup,et al.  Matrix structure of dairy products results in different postprandial lipid responses: a randomized crossover trial. , 2021, The American journal of clinical nutrition.

[6]  C. Spence What Is the Relationship between the Presence of Volatile Organic Compounds in Food and Drink Products and Multisensory Flavour Perception? , 2021, Foods.

[7]  R. Portmann,et al.  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 , 2021, Metabolites.

[8]  Jinyoung Kim,et al.  Microbiota and Metabolite Modifications after Dietary Exclusion of Dairy Products and Reduced Consumption of Fermented Food in Young and Older Men , 2021, Nutrients.

[9]  L. Santacroce,et al.  Current knowledge about the connection between health status and gut microbiota from birth to elderly. A narrative review. , 2021, Frontiers in bioscience.

[10]  K. Nair,et al.  Hormonal and Metabolic Changes of Aging and the Influence of Lifestyle Modifications. , 2021, Mayo Clinic proceedings.

[11]  Chuanjiang Wang,et al.  Exploring plasma metabolomic changes in sepsis: a clinical matching study based on gas chromatography–mass spectrometry , 2020, Annals of translational medicine.

[12]  A. Schieber,et al.  Volatile Phenols—Important Contributors to the Aroma of Plant-Derived Foods , 2020, Molecules.

[13]  N. Vionnet,et al.  Nutrivolatilomics of Urinary and Plasma Samples to Identify Candidate Biomarkers after Cheese, Milk and Soy-Based Drink Intake in Healthy Humans. , 2020, Journal of proteome research.

[14]  E. Esmerino,et al.  Probiotic dairy foods and postprandial glycemia: A mini-review , 2020 .

[15]  M. Boutros,et al.  Ageing, metabolism and the intestine , 2020, EMBO reports.

[16]  K. Fraser,et al.  Postprandial One-Carbon Metabolite Responses Are Dependent on Meal Composition and Age: A Comparison Between Older and Younger Adults , 2020, Current Developments in Nutrition.

[17]  S. Gerber,et al.  Applying univariate vs. multivariate statistics to investigate therapeutic efficacy in (pre)clinical trials: A Monte Carlo simulation study on the example of a controlled preclinical neurotrauma trial , 2020, PloS one.

[18]  Ping Liu,et al.  Growth Hormone Supplementation May Not Improve Live Birth Rate in Poor Responders , 2020, Frontiers in Endocrinology.

[19]  Katharina Breme,et al.  Development and performance evaluation of a novel dynamic headspace vacuum transfer "In Trap" extraction method for volatile compounds and comparison with headspace solid-phase microextraction and headspace in-tube extraction. , 2019, Journal of chromatography. A.

[20]  S. Rampelli,et al.  High-protein diets for weight management: Interactions with the intestinal microbiota and consequences for gut health. A position paper by the my new gut study group. , 2019, Clinical nutrition.

[21]  Soumeya Bekri,et al.  Paving the Way to Precision Nutrition Through Metabolomics , 2019, Front. Nutr..

[22]  L. Brennan,et al.  Recent Advances in the Application of Metabolomics for Nutrition and Health. , 2019, Annual review of food science and technology.

[23]  Pieter Giesbertz,et al.  Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies. , 2018, Molecular nutrition & food research.

[24]  H. Verhagen,et al.  Validation of biomarkers of food intake—critical assessment of candidate biomarkers , 2018, Genes & Nutrition.

[25]  G. Picone,et al.  GC-MS Based Metabolomics and NMR Spectroscopy Investigation of Food Intake Biomarkers for Milk and Cheese in Serum of Healthy Humans , 2018, Metabolites.

[26]  M. Haub,et al.  Postprandial Metabolic Responses Differ by Age Group and Physical Activity Level , 2018, The journal of nutrition, health & aging.

[27]  R. Eri,et al.  Gut Microbial Changes, Interactions, and Their Implications on Human Lifecycle: An Ageing Perspective , 2018, BioMed research international.

[28]  E. Feskens,et al.  A scheme for a flexible classification of dietary and health biomarkers , 2017, Genes & Nutrition.

[29]  G. Picone,et al.  Identification of Urinary Food Intake Biomarkers for Milk, Cheese, and Soy-Based Drink by Untargeted GC-MS and NMR in Healthy Humans. , 2017, Journal of proteome research.

[30]  Reto Portmann,et al.  The postprandial metabolome — a source of Nutritional Biomarkers of Health , 2017 .

[31]  Ben van Ommen,et al.  Systems biology of personalized nutrition , 2017, Nutrition reviews.

[32]  B. Luhovyy,et al.  The effect of dairy products consumed with high glycemic carbohydrate on subjective appetite, food intake, and postprandial glycemia in older adults. , 2017, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.

[33]  Mark R Viant,et al.  How close are we to complete annotation of metabolomes? , 2017, Current opinion in chemical biology.

[34]  Gemma Vilahur,et al.  Systems biology approaches to understand the effects of nutrition and promote health. , 2017, British journal of clinical pharmacology.

[35]  E. Degerman,et al.  Branched short-chain fatty acids modulate glucose and lipid metabolism in primary adipocytes , 2016, Adipocyte.

[36]  F. Blachier,et al.  Dietary protein supplementation in the elderly for limiting muscle mass loss , 2016, Amino Acids.

[37]  M. Peyron,et al.  Understanding the gastrointestinal tract of the elderly to develop dietary solutions that prevent malnutrition , 2015, Oncotarget.

[38]  A. Marette,et al.  Yogurt consumption and impact on health: focus on children and cardiometabolic risk. , 2014, The American journal of clinical nutrition.

[39]  E. Feskens,et al.  The role of low-grade inflammation and metabolic flexibility in aging and nutritional modulation thereof: A systems biology approach , 2014, Mechanisms of Ageing and Development.

[40]  E. Offord,et al.  Musculoskeletal system in the old age and the demand for healthy ageing biomarkers , 2013, Mechanisms of Ageing and Development.

[41]  Joshua D. Knowles,et al.  Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry , 2011, Nature Protocols.

[42]  Marcus J. Claesson,et al.  Composition, variability, and temporal stability of the intestinal microbiota of the elderly , 2010, Proceedings of the National Academy of Sciences.

[43]  P. Brigidi,et al.  Through Ageing, and Beyond: Gut Microbiota and Inflammatory Status in Seniors and Centenarians , 2010, PloS one.

[44]  J. Doré,et al.  The Firmicutes/Bacteroidetes ratio of the human microbiota changes with age , 2009, BMC Microbiology.

[45]  Nigel W. Hardy,et al.  Proposed minimum reporting standards for chemical analysis , 2007, Metabolomics.

[46]  Ben Lacy Costello,et al.  The FASEB Journal • Research Communication Volatile organic compounds from feces and their potential for diagnosis of gastrointestinal disease , 2022 .

[47]  J. Aguilera,et al.  Food microstructure affects the bioavailability of several nutrients. , 2007, Journal of food science.

[48]  Claudio Cobelli,et al.  Effects of Age and Sex on Postprandial Glucose Metabolism , 2006, Diabetes.

[49]  I. Rosenberg,et al.  Nutrition and aging: changes in the regulation of energy metabolism with aging. , 2006, Physiological reviews.

[50]  F. Nagengast,et al.  Effect of ageing on postprandial conjugated and unconjugated serum bile acid levels in healthy subjects , 1993, European journal of clinical investigation.