Targeted plasma metabolome response to variations in dietary glycemic load in a randomized, controlled, crossover feeding trial in healthy adults
Open accessAbstract
Low versus high glycemic load (GL) diet patterns are inversely associated with obesity and chronic diseases such as cancer and cardiovascular disease. These associations persist beyond the protection afforded by increased fiber alone, representing an important gap in our understanding of the metabolic effects of GL. We conducted a randomized, controlled, crossover feeding trial of two 28-day diet periods of high and low GL. Using LC-MS, targeted metabolomics analysis of 155 metabolites was performed on plasma samples from 19 healthy adults aged 18-45 years. Fourteen metabolites differed significantly between diets (P < 0.05), with kynurenate remaining significant after Bonferroni correction (P < 4 × 10(-4)). Metabolites with the largest difference in abundance were kynurenate and trimethylamine-N-oxide (TMAO), both significantly higher after consumption of the low GL diet. Partial least squares-discriminant analysis showed clear separation between the two diets; however no specific pathway was identified in pathway analyses. We found significant differences in 14 plasma metabolites suggesting a differing metabolic response to low and high GL diets. Kynurenate is associated with reduced inflammation, and may be one mechanism through which protective effects of a low GL diet are manifested and warrants further evaluation. This trial was registered at clinicaltrials.gov as NCT00622661.
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Plasma TMAO significantly increased after 28 days of a low glycemic load diet.
“Plasma TMAO concentrations also were significantly increased after consumption of a low glycemic load diet for 28 days (11).”
From Trimethylamine <i>N</i> -Oxide, the Microbiome, and Heart and Kidney Disease (2017) · cites this paper as [11]
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Intestinal microbial metabolism of phosphatidylcholine and cardiovascular risk
Tang, W. H. W., Wang, Z., Levison, B. S., Koeth, R. A., Britt, E. B., Fu, X., Wu, Y., & Hazen, S. L. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1109400 · Cited by 3,402 · see citing works
Bennett, B. J., Vallim, T. Q. D. A., Wang, Z., Shih, D. M., Meng, Y., Gregory, J., Allayee, H., Lee, R., Graham, M., Crooke, R., et al. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2012.12.011 · Cited by 1,070 · see citing works
O'Sullivan, A., Gibney, M. J., & Brennan, L. (2011) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.110.000950 · Cited by 297 · see citing works
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Research works printed but not linked: 51
- [3]Kochanek KD Murphy SL Xu J Arias E NCHS Data Brief 2014 1 8 26727391
- [4]Jenkins DJ Kendall CW Augustin LS Franceschi S Hamidi M Marchie A Jenkins AL Axelsen M Am J Clin Nutr 2002 76 266S 273S 12081850
- [5]Augustin LS Franceschi S Jenkins DJ Kendall CW La Vecchia C Eur J Clin Nutr 2002 56 1049 1071 12428171
- [6]Barclay AW Petocz P McMillan-Price J Flood VM Prvan T Mitchell P Brand-Miller JC Am J Clin Nutr 2008 87 627 637 18326601
- [7]Frost G Leeds AA Dore CJ Madeiros S Brading S Dornhorst A Lancet 1999 353 1045 1048 10199351
- [8]Brand-Miller JC Nutrition Rev 2003 61 S49 S55 12828192
- [9]Putri SP Nakayama Y Matsuda F Uchikata T Kobayashi S Matsubara A Fukusaki E J Biosci Bioeng 2013 115 579 589 23369275
- [10]Malkaram SA Hassan YI Zempleni J Adv Nutr 2012 3 654 665 22983844 PMC3648747
- [11]Menni C Zhai GJ MacGregor A Prehn C Romisch-Margl W Suhre K Adamski J Cassidy A Illig T Spector TD Valdes AM Metabolomics 2013 9 506 514 23543136 PMC3608890
- [12]O'Sullivan A Gibney MJ Brennan L Am J Clin Nutr 2011 93 314 321 21177801
- [13]Brennan L Biochem Soc Transac 2013 41 670 673 23514174
- [14]Rasmussen LG Winning H Savorani F Ritz C Engelsen SB Astrup A Larsen TM Dragsted LO Genes Nutr 2012 7 281 293 21984257 PMC3316758
- [15]Johansson-Persson A Barri T Ulmius M Onning G Dragsted LO Anal Bioanal Chem 2013 405 4799 4809 23535740
- [16]Neuhouser ML Schwarz Y Wang C Breymeyer K Coronado G Wang CY Noar K Song X Lampe JW J Nutr 2012 142 369 374 22190020 PMC3260063
- [17]Runchey SS Pollak MN Valsta LM Coronado GD Schwarz Y Breymeyer KL Wang C Wang CY Lampe JW Neuhouser ML Eur J Clin Nutr 2012 66 1146 1152 22892437 PMC3463643
- [18]Wei R Li G Seymour AB Anal Chem 2010 82 5527 5533 20524683
- [19]Bajad SU Lu W Kimball EH Yuan J Peterson C Rabinowitz JD J Chromatogr A 2006 1125 76 88 16759663
- [20]Zhu J Djukovic D Deng L Gu H Himmati F Chiorean EG Raftery D J Proteome Res 2014 13 4120 4130 25126899
- [21]Dai DF Karunadharma PP Chiao YA Basisty N Crispin D Hsieh EJ Chen T Gu H Djukovic D Raftery D Beyer RP MacCoss MJ Rabinovitch PS Aging Cell 2014 13 529 539 24612461 PMC4040127
- [22]Gu H Du J Carnevale Neto F Carroll PA Turner SJ Chiorean EG Eisenman RN Raftery D Analyst 2015 140 2726 2734 25699545 PMC4380628
- [23]Carroll PA Diolaiti D McFerrin L Gu H Djukovic D Du J Cheng PF Anderson S Ulrich M Hurley JB Raftery D Ayer DE Eisenman RN Cancer Cell 2015 27 271 285 25640402 PMC4326605
- [25]Goeman JJ van de Geer SA de Kort F van Houwelingen HC Bioinformatics 2004 20 93 99 14693814
- [26]Wishart DS Jewison T Guo AC Wilson M Knox C Liu Y Djoumbou Y Mandal R Aziat F Dong E Bouatra S Sinelnikov I Arndt D Xia J Liu P Yallou F Bjorndahl T Perez-Pineiro R Eisner R Allen F Neveu V Greiner R Scalbert A Nucleic Acids Res 2013 41 D801 D807 23161693 PMC3531200
- [27]Kanehisa M Goto S Nucleic Acids Res 2000 28 27 30 10592173 PMC102409
- [28]Westerhuis JA van Velzen EJ Hoefsloot HC Smilde AK Metabolomics 2010 6 119 128 20339442 PMC2834771
- [30]Stone TW Pharmacol Rev 1993 45 309 379 8248282
- [31]Guillemin GJ FEBS J 2012 279 1356 1365 22248144
- [32]Nguyen NT Kimura A Nakahama T Chinen I Masuda K Nohara K Fujii-Kuriyama Y Kishimoto T Proc Natl Acad Sci U S A 2010 107 19961 19966 21041655 PMC2993339
- [33]Lugo-Huitron R Ugalde Muniz P Pineda B Pedraza-Chaverri J Rios C Perez-de la Cruz V Oxid Med Cell Longev 2013 2013 104024 24089628 PMC3780648
- [34]Campbell BM Charych E Lee AW Moller T Front Neurosci 2014 8 12 24567701 PMC3915289
- [35]Heyes MP Saito K Crowley JS Davis LE Demitrack MA Der M Dilling LA Elia J Kruesi MJ Lackner A Brain 1992 115 Pt 5 1249 1273 1422788
- [36]Grohmann U Fallarino F Puccetti P Trends Immunol 2003 24 242 248 12738417
- [37]Gong CY Li Z Wang HM Liu J Chen L Zhang HW Wang X Yang J Med Hypotheses 2011 77 383 385 21683531
- [38]Wu HQ Guidetti P Goodman JH Varasi M Ceresoli-Borroni G Speciale C Scharfman HE Schwarcz R Neuroscience 2000 97 243 251 10799756
- [39]Bennett BJ d A Vallim TQ Wang Z Shih DM Meng Y Gregory J Allayee H Lee R Graham M Crooke R Edwards PA Hazen SL Lusis AJ Cell Metab 2013 17 49 60 23312283 PMC3771112
- [40]David LA Maurice CF Carmody RN Gootenberg DB Button JE Wolfe BE Ling AV Devlin AS Varma Y Fischbach MA Biddinger SB Dutton RJ Turnbaugh PJ Nature 2014 505 559 563 24336217 PMC3957428
- [41]Tang WH Wang Z Levison BS Koeth RA Britt EB Fu X Wu Y Hazen SL N Engl J Med 2013 368 1575 1584 23614584 PMC3701945
- [42]Koeth RA Wang Z Levison BS Buffa JA Org E Sheehy BT Britt EB Fu X Wu Y Li L Smith JD DiDonato JA Chen J Li H Wu GD Lewis JD Warrier M Brown JM Krauss RM Tang WHW Bushman FD Lusis AJ Hazen SL Nat Med 2013 19 576 585 23563705 PMC3650111
- [43]Craig SAS Am J Clin Nutr 2004 80 539 549 15321791
- [44]Zeisel SH Dacosta KA Youssef M Hensey S J Nutr 1989 119 800 804 2723829
- [45]Rebouche CJ Ann N Y Acad Sci 2004 1033 30 41 15591001
- [46]Koeth RA Wang Z Levison BS Buffa JA Org E Sheehy BT Britt EB Fu X Wu Y Li L Smith JD DiDonato JA Chen J Li H Wu GD Lewis JD Warrier M Brown JM Krauss RM Tang WH Bushman FD Lusis AJ Hazen SL Nat Med 2013 19 576 585 23563705 PMC3650111
- [47]Lappi J Salojarvi J Kolehmainen M Mykkanen H Poutanen K de Vos WM Salonen A J Nutr 2013 143 648 655 23514765
- [48]Wang Z Klipfell E Bennett BJ Koeth R Levison BS Dugar B Feldstein AE Britt EB Fu X Chung YM Wu Y Schauer P Smith JD Allayee H Tang WHW DiDonato JA Lusis AJ Hazen SL Nature 2011 472 57 U82 21475195 PMC3086762
- [49]Anderson JW Hanna TJ Am J Clin Nutr 1999 70 307 308 10479191
- [50]Obeid R Nutrients 2013 5 3481 3495 24022817 PMC3798916
- [51]Rajaie S Esmaillzadeh A ARYA Atheroscler 2011 7 78 86 22577451 PMC3347848
- [52]Solanky KS Bailey NJ Beckwith-Hall BM Bingham S Davis A Holmes E Nicholson JK Cassidy A J Nutr Biochem 2005 16 236 244 15808328
- [53]Ussher JR Lopaschuk GD Arduini A Atherosclerosis 2013 231 456 461 24267266
- [54]Moazzami AA Zhang JX Kamal-Eldin A Aman P Hallmans G Johansson JE Andersson SO J Nutr 2011 141 2126 2132 22013201
- [55]Morris C Grada CO Ryan M Roche HM De Vito G Gibney MJ Gibney ER Brennan L Mol Nutr Food Res 2013 57 1246 1254 23505034
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Trimethylamine <i>N</i> -Oxide, the Microbiome, and Heart and Kidney Disease
Zeisel, S. H., & Warrier, M. (2017) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071816-064732 · Cited by 475 · see citing works
- Authors
- Barton, S., Navarro, S. L., Buas, M. F., Schwarz, Y., Gu, H., Djukovic, D., Raftery, D., Kratz, M., Neuhouser, M. L., & Lampe, J. W.
- Affiliations
- Fred Hutch Cancer Center (US)
- University of Washington (US)
- Corresponding author
- Navarro, Sandi L.
- ORCID
- Venue
- Food & Function
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2015
- Volume
- 6
- Issue
- 9
- Pages
- 2949-2956
- ISSN
- 2042-6496 (ISSN-L)
- 2042-650X
- PMC
- PMC4558254
- OpenAlex
- W1713351587
- Cited by
- 55
- References
- 3
- Citations by year
- 2025: 5 · 2024: 5 · 2023: 3 · 2022: 6 · 2021: 3 · 2020: 8 · 2019: 8 · 2018: 6 · 2017: 5 · 2016: 6
- FWCI
- 2.45
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Food & Function (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (T32CA09168, U54CA116847)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Keywords
- glycemic load, low glycemic load diet, plasma metabolome, kynurenic acid, trimethylamine N-oxide, dietary fat, inflammation, obesity, chronic disease prevention, healthy adults
- MeSH terms
- Glycemic Load, Adolescent, Adult, Blood Glucose, Diet, Humans, Male, Middle Aged, Plasma, Cross-Over Studies, Metabolomics, Metabolome, Young Adult
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