Literature DB >> 31386148

Perspective: Dietary Biomarkers of Intake and Exposure-Exploration with Omics Approaches.

Padma Maruvada1, Johanna W Lampe2,3, David S Wishart4, Dinesh Barupal5, Deirdra N Chester6, Dylan Dodd7,8, Yannick Djoumbou-Feunang4, Pieter C Dorrestein9,10, Lars O Dragsted11, John Draper12, Linda C Duffy13, Johanna T Dwyer14, Nancy J Emenaker15, Oliver Fiehn5, Robert E Gerszten16, Frank B Hu17,18, Robert W Karp1, David M Klurfeld19, Maren R Laughlin1, A Roger Little20, Christopher J Lynch1, Steven C Moore15, Holly L Nicastro21, Diane M O'Brien22, José M Ordovás23, Stavroula K Osganian1, Mary Playdon24, Ross Prentice2,3, Daniel Raftery2,25, Nichole Reisdorph26, Helen M Roche27, Sharon A Ross15, Shengmin Sang28, Augustin Scalbert29, Pothur R Srinivas21, Steven H Zeisel30.   

Abstract

While conventional nutrition research has yielded biomarkers such as doubly labeled water for energy metabolism and 24-h urinary nitrogen for protein intake, a critical need exists for additional, equally robust biomarkers that allow for objective assessment of specific food intake and dietary exposure. Recent advances in high-throughput MS combined with improved metabolomics techniques and bioinformatic tools provide new opportunities for dietary biomarker development. In September 2018, the NIH organized a 2-d workshop to engage nutrition and omics researchers and explore the potential of multiomics approaches in nutritional biomarker research. The current Perspective summarizes key gaps and challenges identified, as well as the recommendations from the workshop that could serve as a guide for scientists interested in dietary biomarkers research. Topics addressed included study designs for biomarker development, analytical and bioinformatic considerations, and integration of dietary biomarkers with other omics techniques. Several clear needs were identified, including larger controlled feeding studies, testing a variety of foods and dietary patterns across diverse populations, improved reporting standards to support study replication, more chemical standards covering a broader range of food constituents and human metabolites, standardized approaches for biomarker validation, comprehensive and accessible food composition databases, a common ontology for dietary biomarker literature, and methodologic work on statistical procedures for intake biomarker discovery. Multidisciplinary research teams with appropriate expertise are critical to moving forward the field of dietary biomarkers and producing robust, reproducible biomarkers that can be used in public health and clinical research. Published by Oxford University Press on behalf of the American Society for Nutrition 2019.

Entities:  

Keywords:  diet; dietary biomarkers; dietary intervention studies; metabolomics; nutrition

Mesh:

Substances:

Year:  2020        PMID: 31386148      PMCID: PMC7442414          DOI: 10.1093/advances/nmz075

Source DB:  PubMed          Journal:  Adv Nutr        ISSN: 2161-8313            Impact factor:   11.567


  98 in total

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Journal:  Am J Clin Nutr       Date:  2017-01-18       Impact factor: 7.045

2.  Further clarification of the contribution of the ADH1C gene to vulnerability of alcoholism and selected liver diseases.

Authors:  Dawei Li; Hongyu Zhao; Joel Gelernter
Journal:  Hum Genet       Date:  2012-04-05       Impact factor: 4.132

3.  Use of a urinary sugars biomarker to assess measurement error in self-reported sugars intake in the nutrition and physical activity assessment study (NPAAS).

Authors:  Natasha Tasevska; Douglas Midthune; Lesley F Tinker; Nancy Potischman; Johanna W Lampe; Marian L Neuhouser; Jeannette M Beasley; Linda Van Horn; Ross L Prentice; Victor Kipnis
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-09-18       Impact factor: 4.254

4.  Enterolignan-producing phenotypes are associated with increased gut microbial diversity and altered composition in premenopausal women in the United States.

Authors:  Meredith A J Hullar; Samuel M Lancaster; Fei Li; Elizabeth Tseng; Karlyn Beer; Charlotte Atkinson; Kristiina Wähälä; Wade K Copeland; Timothy W Randolph; Katherine M Newton; Johanna W Lampe
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-12-26       Impact factor: 4.254

5.  Dose validation of PhIP hair level as a biomarker of heterocyclic aromatic amines exposure: a feeding study.

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Journal:  Carcinogenesis       Date:  2016-04-25       Impact factor: 4.944

6.  Statistical Aspects of the Use of Biomarkers in Nutritional Epidemiology Research.

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7.  Proline betaine and its biotransformation products in fasting urine samples are potential biomarkers of habitual citrus fruit consumption.

Authors:  Amanda J Lloyd; Manfred Beckmann; Gaëlle Favé; John C Mathers; John Draper
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Review 8.  Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption.

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Journal:  Mol Psychiatry       Date:  2014-10-07       Impact factor: 15.992

9.  An exome array study of the plasma metabolome.

Authors:  Eugene P Rhee; Qiong Yang; Bing Yu; Xuan Liu; Susan Cheng; Amy Deik; Kerry A Pierce; Kevin Bullock; Jennifer E Ho; Daniel Levy; Jose C Florez; Sek Kathiresan; Martin G Larson; Ramachandran S Vasan; Clary B Clish; Thomas J Wang; Eric Boerwinkle; Christopher J O'Donnell; Robert E Gerszten
Journal:  Nat Commun       Date:  2016-07-25       Impact factor: 14.919

Review 10.  Validation of biomarkers of food intake-critical assessment of candidate biomarkers.

Authors:  L O Dragsted; Q Gao; A Scalbert; G Vergères; M Kolehmainen; C Manach; L Brennan; L A Afman; D S Wishart; C Andres Lacueva; M Garcia-Aloy; H Verhagen; E J M Feskens; G Praticò
Journal:  Genes Nutr       Date:  2018-05-30       Impact factor: 5.523

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  27 in total

Review 1.  Metabolomic Biomarkers of Healthy Dietary Patterns and Cardiovascular Outcomes.

Authors:  Hyunju Kim; Casey M Rebholz
Journal:  Curr Atheroscler Rep       Date:  2021-03-30       Impact factor: 5.113

2.  Enhancing untargeted metabolomics using metadata-based source annotation.

Authors:  Julia M Gauglitz; Kiana A West; Wout Bittremieux; Candace L Williams; Kelly C Weldon; Morgan Panitchpakdi; Francesca Di Ottavio; Christine M Aceves; Elizabeth Brown; Nicole C Sikora; Alan K Jarmusch; Cameron Martino; Anupriya Tripathi; Michael J Meehan; Kathleen Dorrestein; Justin P Shaffer; Roxana Coras; Fernando Vargas; Lindsay DeRight Goldasich; Tara Schwartz; MacKenzie Bryant; Gregory Humphrey; Abigail J Johnson; Katharina Spengler; Pedro Belda-Ferre; Edgar Diaz; Daniel McDonald; Qiyun Zhu; Emmanuel O Elijah; Mingxun Wang; Clarisse Marotz; Kate E Sprecher; Daniela Vargas-Robles; Dana Withrow; Gail Ackermann; Lourdes Herrera; Barry J Bradford; Lucas Maciel Mauriz Marques; Juliano Geraldo Amaral; Rodrigo Moreira Silva; Flavio Protasio Veras; Thiago Mattar Cunha; Rene Donizeti Ribeiro Oliveira; Paulo Louzada-Junior; Robert H Mills; Paulina K Piotrowski; Stephanie L Servetas; Sandra M Da Silva; Christina M Jones; Nancy J Lin; Katrice A Lippa; Scott A Jackson; Rima Kaddurah Daouk; Douglas Galasko; Parambir S Dulai; Tatyana I Kalashnikova; Curt Wittenberg; Robert Terkeltaub; Megan M Doty; Jae H Kim; Kyung E Rhee; Julia Beauchamp-Walters; Kenneth P Wright; Maria Gloria Dominguez-Bello; Mark Manary; Michelli F Oliveira; Brigid S Boland; Norberto Peporine Lopes; Monica Guma; Austin D Swafford; Rachel J Dutton; Rob Knight; Pieter C Dorrestein
Journal:  Nat Biotechnol       Date:  2022-07-07       Impact factor: 54.908

3.  Assessing Adherence to Healthy Dietary Habits Through the Urinary Food Metabolome: Results From a European Two-Center Study.

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4.  Sources of Variation in Food-Related Metabolites during Pregnancy.

Authors:  Talha Rafiq; Sandi M Azab; Sonia S Anand; Lehana Thabane; Meera Shanmuganathan; Katherine M Morrison; Stephanie A Atkinson; Jennifer C Stearns; Koon K Teo; Philip Britz-McKibbin; Russell J de Souza
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5.  Perspective: Novel Approaches to Evaluate Dietary Quality: Combining Methods to Enhance Measurement for Dietary Surveillance and Interventions.

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6.  An evaluation of the serum carbon isotope ratio as a candidate predictive biomarker of the dietary animal protein ratio (animal protein/total protein) in a 15-day controlled feeding study of US adults.

Authors:  Diane M O'Brien; Virag Sagi-Kiss; Susana A Palma-Duran; Chris Cunningham; Brian Barrett; Carol S Johnston; Douglas Midthune; Victor Kipnis; Laurence S Freedman; Natasha Tasevska
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7.  Amino Acid Nitrogen Isotope Ratios Respond to Fish and Meat Intake in a 12-Week Inpatient Feeding Study of Men.

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Review 8.  Nutritional Metabolomics and the Classification of Dietary Biomarker Candidates: A Critical Review.

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9.  The Breath Carbon Isotope Ratio Reflects Short-term Added-Sugar Intake in a Dose-Response, Crossover Feeding Study of 12 Healthy Adults.

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Journal:  J Nutr       Date:  2021-03-11       Impact factor: 4.687

10.  Novel Application of Nutritional Biomarkers From a Controlled Feeding Study and an Observational Study to Characterization of Dietary Patterns in Postmenopausal Women.

Authors:  Marian L Neuhouser; Mary Pettinger; Johanna W Lampe; Lesley F Tinker; Stephanie M George; Jill Reedy; Xiaoling Song; Bharat Thyagarajan; Shirley A Beresford; Ross L Prentice
Journal:  Am J Epidemiol       Date:  2021-11-02       Impact factor: 4.897

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