Postprandial Metabolome and Metabolic Flexibility
Standardized Meals With Different Macronutrient Ratios on the Postprandial Metabolome and Metabolic Flexibility
1 other identifier
interventional
300
1 country
1
Brief Summary
Metabolic flexibility is a process in which the body can switch energy substrates in different physiological states. This flexibility plays an important role in an individual's health because losing it increases the risk of obesity, metabolic syndrome, insulin resistance, and type 2 diabetes. Considering that humans spend most of their awakening hours in a postprandial (PP) state, an organism's metabolic flexibility (MF) to respond to a standardized meal's consumption would provide information on the individual's metabolic health. The PP response to glucose following an oral glucose tolerance test or consumption of a high-carbohydrate meal is well described; however, few studies assess the FM and PP metabolome using mixed meals with different macronutrients. The investigators address how metabolic flexibility and metabolome change after consuming standardized meals with different macronutrient ratios. Data collection includes clinical and diet information, indirect calorimetry, and capillary blood sampling during fasting and after consumption of standardized meals. Samples are collected weekly for one month. The data will determine the metabolic flexibility and metabolome after consuming standardized meals with different macronutrient ratios.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2024
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 8, 2024
CompletedFirst Submitted
Initial submission to the registry
April 8, 2024
CompletedFirst Posted
Study publicly available on registry
March 17, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 30, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
December 18, 2026
ExpectedMarch 17, 2025
March 1, 2025
2.1 years
April 8, 2024
March 10, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Metabolic Flexibility Assessed by Respiratory Quotient (RQ) and Substrate Oxidation
Metabolic flexibility will be assessed by measuring the respiratory quotient (RQ) and substrate oxidation during fasting and postprandial states. RQ values are expected to range from 0.70 to 0.80 during fasting and vary during the postprandial period depending on the food consumed: 0.87-1.00 for the high-carbohydrate challenge, 0.70-80 for the high-fat challenge, and 0.81-0.90 for the high-protein challenge. Measurements will be conducted using the Cardio Coach CO2 Vmax Encore 29 System Calorimeter. Oxygen consumption (VO2) and carbon dioxide production (VCO2) values will be used to calculate energy expenditure using Weir's equation: Energy Expenditure = \[3.941(VO2) + 1.11(VCO2)\] Ă— 1440 min/day.
Once a week for three weeks
Secondary Outcomes (4)
Postprandial Glucose Levels
Once a week for three weeks
Postprandial Triglyceride Levels
Once a week for three weeks
Postprandial Acyl Carnitines Levels
Once a week for three weeks
Postprandial Amino Acid Levels
Once a week for three weeks
Study Arms (3)
High carbohydrate challenge
EXPERIMENTALHigh carbohydrate challenge should be consumed within 15 minutes. After 5 minutes of rest, indirect calorimetry will be postprandially, lasting 30 minutes. Capillary blood shall be obtained at the following times: 15-30-45-60-90 and 120 min after ingestion of food.
High lipid challenge
EXPERIMENTALHigh lipid challenge should be consumed within 15 minutes. After 5 minutes of rest, indirect calorimetry will be postprandially, lasting 30 minutes. Capillary blood shall be obtained at the following times: 15-30-45-60-90 and 120 min after ingestion of food.
High protein challenge
EXPERIMENTALHigh protein challenge should be consumed within 15 minutes. After 5 minutes of rest, indirect calorimetry will be postprandially, lasting 30 minutes. Capillary blood shall be obtained at the following times: 15-30-45-60-90 and 120 min after ingestion of food.
Interventions
Capillary blood samples will be obtained in the morning after an overnight 8-hour fasting; then, an indirect fasting calorimetry will be performed. After the indirect calorimetry, the metabolic and hormonal response to the test meal is performed. The nutritional composition of the standardized meal is shown below. Energy, 479.6 kcal; Carbohydrate, 83.6%; Lipids, 12.4%, and Protein, 4.0% (70 g of hot cake, 100 g of mango, 270 ml of peach nectar, and 40 g of strawberry jam). The food challenge should be consumed within 15 minutes. After 5 minutes of rest, indirect calorimetry will be postprandially, lasting 30 minutes. Capillary blood shall be obtained at the following times: 15-30-45-60-90 and 120 min after ingestion of food.
Capillary blood samples will be obtained in the morning after an overnight 8-hour fasting; then, an indirect fasting calorimetry will be performed. After the indirect calorimetry, the metabolic and hormonal response to the test meal is performed. The nutritional composition of the standardized meal is shown below. Energy, 1043.4 kcal; Carbohydrate, 4.9%; Lipids, 86.8%, and Protein, 8.3% (60 g of manchego cheese, 25 g of egg, white, dried, 24 g of bacon, 5 ml of oil, 65 g of cream cheese, 70 g of cream, and 16 g of poblano pepper). The food challenge should be consumed within 15 minutes. After 5 minutes of rest, indirect calorimetry will be postprandially, lasting 30 minutes. Capillary blood shall be obtained at the following times: 15-30-45-60-90 and 120 min after ingestion of food.
Capillary blood samples will be obtained in the morning after an overnight 8-hour fasting; then, an indirect fasting calorimetry will be performed. After the indirect calorimetry, the metabolic and hormonal response to the test meal is performed. The nutritional composition of the standardized meal is shown below. Energy, 441.3 kcal; Carbohydrate, 1.6%; Lipids, 5.1%, and Protein, 93.3% (2 scoop Isopure Zero Carb, 180 g of chicken breast, 20 g of lettuce and 24 g of ham turkey breast). The food challenge should be consumed within 15 minutes. After 5 minutes of rest, indirect calorimetry will be postprandially, lasting 30 minutes. Capillary blood shall be obtained at the following times: 15-30-45-60-90 and 120 min after ingestion of food.
Eligibility Criteria
You may qualify if:
- be over 18 years of age and under 30 years of age;
- without active drug addictions: smoking, alcoholism, and/or drug addiction;
- in female subjects: regular menstrual cycles;
You may not qualify if:
- subjects with any pathology that requires medication or special treatment, such as type 2 diabetes mellitus, high blood pressure, dyslipidemia, polycystic ovary syn-drome, autoimmune, thyroid, kidney, neurological diseases, and cancer;
- pregnant or lactating women;
- subjects with problems with chewing, salivation, and swallowing.
- Elimination criteria:
- subjects who only have samples (blood and calorimetry) from one study period (fasting or postprandial);
- subjects who only have samples (blood and calorimetry) of a metabolic challenge;
- subjects who have an infection at the scheduled appointment;
- subjects who withdraw their informed consent
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Berenice Palacios-Gonzalez
Mexico City, 14610, Mexico
Related Publications (32)
Schonknecht YB, Crommen S, Stoffel-Wagner B, Coenen M, Fimmers R, Holst JJ, Simon MC, Stehle P, Egert S. Acute Effects of Three Different Meal Patterns on Postprandial Metabolism in Older Individuals with a Risk Phenotype for Cardiometabolic Diseases: A Randomized Controlled Crossover Trial. Mol Nutr Food Res. 2020 May;64(9):e1901035. doi: 10.1002/mnfr.201901035. Epub 2020 Apr 15.
PMID: 32223057BACKGROUNDWeinisch P, Fiamoncini J, Schranner D, Raffler J, Skurk T, Rist MJ, Romisch-Margl W, Prehn C, Adamski J, Hauner H, Daniel H, Suhre K, Kastenmuller G. Dynamic patterns of postprandial metabolic responses to three dietary challenges. Front Nutr. 2022 Sep 22;9:933526. doi: 10.3389/fnut.2022.933526. eCollection 2022.
PMID: 36211489BACKGROUNDKelley DE, Mandarino LJ. Fuel selection in human skeletal muscle in insulin resistance: a reexamination. Diabetes. 2000 May;49(5):677-83. doi: 10.2337/diabetes.49.5.677.
PMID: 10905472BACKGROUNDDelgadillo-Velazquez JA, Nambo-Venegas R, Patino N, Meraz-Cruz N, Razo-Azamar M, Guevara-Cruz M, Fonseca M, Pale Montero LE, Ibarra-Gonzalez I, Vela-Amieva M, Vadillo-Ortega F, Palacios-Gonzalez B. Metabolic flexibility during normal pregnancy allows appropriate adaptation during gestation independently of BMI. Clin Nutr ESPEN. 2021 Aug;44:254-262. doi: 10.1016/j.clnesp.2021.06.007. Epub 2021 Jun 19.
PMID: 34330475BACKGROUNDGupta RD, Ramachandran R, Venkatesan P, Anoop S, Joseph M, Thomas N. Indirect Calorimetry: From Bench to Bedside. Indian J Endocrinol Metab. 2017 Jul-Aug;21(4):594-599. doi: 10.4103/ijem.IJEM_484_16.
PMID: 28670546BACKGROUNDLepine 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 Jan 21;14(3):472. doi: 10.3390/nu14030472.
PMID: 35276829BACKGROUNDMuoio DM. Metabolic inflexibility: when mitochondrial indecision leads to metabolic gridlock. Cell. 2014 Dec 4;159(6):1253-62. doi: 10.1016/j.cell.2014.11.034.
PMID: 25480291BACKGROUNDZeevi D, Korem T, Zmora N, Israeli D, Rothschild D, Weinberger A, Ben-Yacov O, Lador D, Avnit-Sagi T, Lotan-Pompan M, Suez J, Mahdi JA, Matot E, Malka G, Kosower N, Rein M, Zilberman-Schapira G, Dohnalova L, Pevsner-Fischer M, Bikovsky R, Halpern Z, Elinav E, Segal E. Personalized Nutrition by Prediction of Glycemic Responses. Cell. 2015 Nov 19;163(5):1079-1094. doi: 10.1016/j.cell.2015.11.001.
PMID: 26590418BACKGROUNDBansal S, Buring JE, Rifai N, Mora S, Sacks FM, Ridker PM. Fasting compared with nonfasting triglycerides and risk of cardiovascular events in women. JAMA. 2007 Jul 18;298(3):309-16. doi: 10.1001/jama.298.3.309.
PMID: 17635891BACKGROUNDNishida T, Tsuji S, Tsujii M, Arimitsu S, Haruna Y, Imano E, Suzuki M, Kanda T, Kawano S, Hiramatsu N, Hayashi N, Hori M. Oral glucose tolerance test predicts prognosis of patients with liver cirrhosis. Am J Gastroenterol. 2006 Jan;101(1):70-5. doi: 10.1111/j.1572-0241.2005.00307.x.
PMID: 16405536BACKGROUNDVis, D.J., et al., Analyzing metabolomics-based challenge tests. Metabolomics, 2015. 11(1): p. 50-63.
BACKGROUNDKrug S, Kastenmuller G, Stuckler F, Rist MJ, Skurk T, Sailer M, Raffler J, Romisch-Margl W, Adamski J, Prehn C, Frank T, Engel KH, Hofmann T, Luy B, Zimmermann R, Moritz F, Schmitt-Kopplin P, Krumsiek J, Kremer W, Huber F, Oeh U, Theis FJ, Szymczak W, Hauner H, Suhre K, Daniel H. The dynamic range of the human metabolome revealed by challenges. FASEB J. 2012 Jun;26(6):2607-19. doi: 10.1096/fj.11-198093. Epub 2012 Mar 16.
PMID: 22426117BACKGROUNDLaBarre 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 Oct 1;151(10):2868-2881. doi: 10.1093/jn/nxab223.
PMID: 34255076BACKGROUNDYu EA, Yu T, Jones DP, Ramirez-Zea M, Stein AD. Metabolomic Profiling After a Meal Shows Greater Changes and Lower Metabolic Flexibility in Cardiometabolic Diseases. J Endocr Soc. 2020 Aug 25;4(11):bvaa127. doi: 10.1210/jendso/bvaa127. eCollection 2020 Nov 1.
PMID: 33134764BACKGROUNDSebedio, j.-l. and S. Polakof, Using metabolomics to identify biomarkers for metabolic diseases: Analytical methods and applications. 2015. p. 145-166.
BACKGROUNDAdamska-Patruno E, Samczuk P, Ciborowski M, Godzien J, Pietrowska K, Bauer W, Gorska M, Barbas C, Kretowski A. Metabolomics Reveal Altered Postprandial Lipid Metabolism After a High-Carbohydrate Meal in Men at High Genetic Risk of Diabetes. J Nutr. 2019 Jun 1;149(6):915-922. doi: 10.1093/jn/nxz024.
PMID: 31049566BACKGROUNDvan den Broek TJ, Bakker GCM, Rubingh CM, Bijlsma S, Stroeve JHM, van Ommen B, van Erk MJ, Wopereis S. Ranges of phenotypic flexibility in healthy subjects. Genes Nutr. 2017 Dec 6;12:32. doi: 10.1186/s12263-017-0589-8. eCollection 2017.
PMID: 29225708BACKGROUNDFiamoncini J, Rundle M, Gibbons H, Thomas EL, Geillinger-Kastle K, Bunzel D, Trezzi JP, Kiselova-Kaneva Y, Wopereis S, Wahrheit J, Kulling SE, Hiller K, Sonntag D, Ivanova D, van Ommen B, Frost G, Brennan L, Bell J, Daniel H. Plasma metabolome analysis identifies distinct human metabotypes in the postprandial state with different susceptibility to weight loss-mediated metabolic improvements. FASEB J. 2018 Oct;32(10):5447-5458. doi: 10.1096/fj.201800330R. Epub 2018 May 2.
PMID: 29718708BACKGROUNDKardinaal AF, van Erk MJ, Dutman AE, Stroeve JH, van de Steeg E, Bijlsma S, Kooistra T, van Ommen B, Wopereis S. Quantifying phenotypic flexibility as the response to a high-fat challenge test in different states of metabolic health. FASEB J. 2015 Nov;29(11):4600-13. doi: 10.1096/fj.14-269852. Epub 2015 Jul 21.
PMID: 26198450BACKGROUNDYu EA, Yu T, Jones DP, Martorell R, Ramirez-Zea M, Stein AD. Macronutrient, Energy, and Bile Acid Metabolism Pathways Altered Following a Physiological Meal Challenge, Relative to Fasting, among Guatemalan Adults. J Nutr. 2020 Aug 1;150(8):2031-2040. doi: 10.1093/jn/nxaa169.
PMID: 32597983BACKGROUNDShrestha A, Mullner E, Poutanen K, Mykkanen H, Moazzami AA. Metabolic changes in serum metabolome in response to a meal. Eur J Nutr. 2017 Mar;56(2):671-681. doi: 10.1007/s00394-015-1111-y. Epub 2015 Dec 10.
PMID: 26658764BACKGROUNDMoriya T, Satomi Y, Kobayashi H. Metabolomics of postprandial plasma alterations: a comprehensive Japanese study. J Biochem. 2018 Feb 1;163(2):113-121. doi: 10.1093/jb/mvx066.
PMID: 29040577BACKGROUNDMathew S, Krug S, Skurk T, Halama A, Stank A, Artati A, Prehn C, Malek JA, Kastenmuller G, Romisch-Margl W, Adamski J, Hauner H, Suhre K. Metabolomics of Ramadan fasting: an opportunity for the controlled study of physiological responses to food intake. J Transl Med. 2014 Jun 6;12:161. doi: 10.1186/1479-5876-12-161.
PMID: 24906381BACKGROUNDYu EA, Le NA, Stein AD. Measuring Postprandial Metabolic Flexibility to Assess Metabolic Health and Disease. J Nutr. 2021 Nov 2;151(11):3284-3291. doi: 10.1093/jn/nxab263.
PMID: 34293154BACKGROUNDBastarrachea RA, Laviada-Molina HA, Nava-Gonzalez EJ, Leal-Berumen I, Escudero-Lourdes C, Escalante-Araiza F, Peschard VG, Veloz-Garza RA, Haack K, Martinez-Hernandez A, Barajas-Olmos FM, Molina-Segui F, Buenfil-Rello FA, Gonzalez-Ramirez L, Janssen-Aguilar R, Lopez-Munoz R, Perez-Cetina F, Gaytan-Saucedo JF, Vaquera Z, Cornejo-Barrera J, Castillo-Pineda JC, Murillo-Ramirez A, Diaz-Tena SP, Figueroa-Nunez B, Gonzalez-Lopez L, Salinas-Osornio RA, Valencia-Rendon ME, Angeles-Chimal J, Santa-Olalla Tapia J, Remes-Troche JM, Valdovinos-Chavez SB, Huerta-Avila EE, Han X, Orozco L, Rodriguez-Ayala E, Weintraub S, Gallegos-Cabrales EC, Cole SA, Kent JW Jr. Deep Multi-OMICs and Multi-Tissue Characterization in a Pre- and Postprandial State in Human Volunteers: The GEMM Family Study Research Design. Genes (Basel). 2018 Nov 2;9(11):532. doi: 10.3390/genes9110532.
PMID: 30400254BACKGROUNDWopereis S, Stroeve JHM, Stafleu A, Bakker GCM, Burggraaf J, van Erk MJ, Pellis L, Boessen R, Kardinaal AAF, van Ommen B. Multi-parameter comparison of a standardized mixed meal tolerance test in healthy and type 2 diabetic subjects: the PhenFlex challenge. Genes Nutr. 2017 Aug 29;12:21. doi: 10.1186/s12263-017-0570-6. eCollection 2017.
PMID: 28861127BACKGROUNDSmith RL, Soeters MR, Wust RCI, Houtkooper RH. Metabolic Flexibility as an Adaptation to Energy Resources and Requirements in Health and Disease. Endocr Rev. 2018 Aug 1;39(4):489-517. doi: 10.1210/er.2017-00211.
PMID: 29697773BACKGROUNDPatricio, B.P., et al., Normal menstrual cycle. Intech Open, 2019. doi:10.5772/intechopen. 79876
BACKGROUNDIbarra-Gonzalez I, Rodriguez-Valentin R, Lazcano-Ponce E, Vela-Amieva M. Metabolic screening and metabolomics analysis in the Intellectual Developmental Disorders Mexico Study. Salud Publica Mex. 2017 Jul-Aug;59(4):423-428. doi: 10.21149/8668.
PMID: 29211263BACKGROUNDMtaweh H, Tuira L, Floh AA, Parshuram CS. Indirect Calorimetry: History, Technology, and Application. Front Pediatr. 2018 Sep 19;6:257. doi: 10.3389/fped.2018.00257. eCollection 2018.
PMID: 30283765BACKGROUNDGoodpaster BH, Sparks LM. Metabolic Flexibility in Health and Disease. Cell Metab. 2017 May 2;25(5):1027-1036. doi: 10.1016/j.cmet.2017.04.015.
PMID: 28467922BACKGROUNDMorris C, O'Grada CM, Ryan MF, Gibney MJ, Roche HM, Gibney ER, Brennan L. Modulation of the lipidomic profile due to a lipid challenge and fitness level: a postprandial study. Lipids Health Dis. 2015 Jul 1;14:65. doi: 10.1186/s12944-015-0062-x.
PMID: 26123789BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Berenice Palacios-Gonzalez, PhD
National Institute of Genomic Medicine
- PRINCIPAL INVESTIGATOR
Noemi Meraz-Cruz, PhD
Universidad Nacional Autonoma de Mexico
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- INVESTIGATOR
- Masking Details
- There will be a single-blind principal investigator (PI). All results will be coded and will remain closed until the study is completed. The PI will remain blind to the results until the codes are opened at the end of the study.
- Purpose
- PREVENTION
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER GOV
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- PhD
Study Record Dates
First Submitted
April 8, 2024
First Posted
March 17, 2025
Study Start
January 8, 2024
Primary Completion
January 30, 2026
Study Completion (Estimated)
December 18, 2026
Last Updated
March 17, 2025
Record last verified: 2025-03
Data Sharing
- IPD Sharing
- Will not share