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Ulusoy-Gezer HG, Rakıcıoğlu N. The Future of Obesity Management through Precision Nutrition: Putting the Individual at the Center. Curr Nutr Rep 2024; 13:455-477. [PMID: 38806863 PMCID: PMC11327204 DOI: 10.1007/s13668-024-00550-y] [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] [Accepted: 05/18/2024] [Indexed: 05/30/2024]
Abstract
PURPOSE OF REVIEW: The prevalence of obesity continues to rise steadily. While obesity management typically relies on dietary and lifestyle modifications, individual responses to these interventions vary widely. Clinical guidelines for overweight and obesity stress the importance of personalized approaches to care. This review aims to underscore the role of precision nutrition in delivering tailored interventions for obesity management. RECENT FINDINGS: Recent technological strides have expanded our ability to detect obesity-related genetic polymorphisms, with machine learning algorithms proving pivotal in analyzing intricate genomic data. Machine learning algorithms can also predict postprandial glucose, triglyceride, and insulin levels, facilitating customized dietary interventions and ultimately leading to successful weight loss. Additionally, given that adherence to dietary recommendations is one of the key predictors of weight loss success, employing more objective methods for dietary assessment and monitoring can enhance sustained long-term compliance. Biomarkers of food intake hold promise for a more objective dietary assessment. Acknowledging the multifaceted nature of obesity, precision nutrition stands poised to transform obesity management by tailoring dietary interventions to individuals' genetic backgrounds, gut microbiota, metabolic profiles, and behavioral patterns. However, there is insufficient evidence demonstrating the superiority of precision nutrition over traditional dietary recommendations. The integration of precision nutrition into routine clinical practice requires further validation through randomized controlled trials and the accumulation of a larger body of evidence to strengthen its foundation.
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Affiliation(s)
- Hande Gül Ulusoy-Gezer
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Hacettepe University, 06100, Sıhhiye, Ankara, Türkiye
| | - Neslişah Rakıcıoğlu
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Hacettepe University, 06100, Sıhhiye, Ankara, Türkiye.
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2
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Landberg R, Karra P, Hoobler R, Loftfield E, Huybrechts I, Rattner JI, Noerman S, Claeys L, Neveu V, Vidkjaer NH, Savolainen O, Playdon MC, Scalbert A. Dietary biomarkers-an update on their validity and applicability in epidemiological studies. Nutr Rev 2024; 82:1260-1280. [PMID: 37791499 PMCID: PMC11317775 DOI: 10.1093/nutrit/nuad119] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023] Open
Abstract
The aim of this literature review was to identify and provide a summary update on the validity and applicability of the most promising dietary biomarkers reflecting the intake of important foods in the Western diet for application in epidemiological studies. Many dietary biomarker candidates, reflecting intake of common foods and their specific constituents, have been discovered from intervention and observational studies in humans, but few have been validated. The literature search was targeted for biomarker candidates previously reported to reflect intakes of specific food groups or components that are of major importance in health and disease. Their validity was evaluated according to 8 predefined validation criteria and adapted to epidemiological studies; we summarized the findings and listed the most promising food intake biomarkers based on the evaluation. Biomarker candidates for alcohol, cereals, coffee, dairy, fats and oils, fruits, legumes, meat, seafood, sugar, tea, and vegetables were identified. Top candidates for all categories are specific to certain foods, have defined parent compounds, and their concentrations are unaffected by nonfood determinants. The correlations of candidate dietary biomarkers with habitual food intake were moderate to strong and their reproducibility over time ranged from low to high. For many biomarker candidates, critical information regarding dose response, correlation with habitual food intake, and reproducibility over time is yet unknown. The nutritional epidemiology field will benefit from the development of novel methods to combine single biomarkers to generate biomarker panels in combination with self-reported data. The most promising dietary biomarker candidates that reflect commonly consumed foods and food components for application in epidemiological studies were identified, and research required for their full validation was summarized.
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Affiliation(s)
- Rikard Landberg
- Division of Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden
| | - Prasoona Karra
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, USA
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, University of Utah Salt Lake City, UT, USA
| | - Rachel Hoobler
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, USA
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, University of Utah Salt Lake City, UT, USA
| | - Erikka Loftfield
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Inge Huybrechts
- International Agency for Research on Cancer, Nutrition and Metabolism Branch, Lyon, France
| | - Jodi I Rattner
- International Agency for Research on Cancer, Nutrition and Metabolism Branch, Lyon, France
| | - Stefania Noerman
- Division of Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden
| | - Liesel Claeys
- International Agency for Research on Cancer, Molecular Mechanisms and Biomarkers Group, Lyon, France
| | - Vanessa Neveu
- International Agency for Research on Cancer, Nutrition and Metabolism Branch, Lyon, France
| | - Nanna Hjort Vidkjaer
- Division of Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden
| | - Otto Savolainen
- Division of Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden
| | - Mary C Playdon
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, USA
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, University of Utah Salt Lake City, UT, USA
| | - Augustin Scalbert
- International Agency for Research on Cancer, Nutrition and Metabolism Branch, Lyon, France
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3
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Bouranis JA, Ren Y, Beaver LM, Choi J, Wong CP, He L, Traber MG, Kelly J, Booth SL, Stevens JF, Fern XZ, Ho E. Identification of biological signatures of cruciferous vegetable consumption utilizing machine learning-based global untargeted stable isotope traced metabolomics. Front Nutr 2024; 11:1390223. [PMID: 39021604 PMCID: PMC11253721 DOI: 10.3389/fnut.2024.1390223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 06/21/2024] [Indexed: 07/20/2024] Open
Abstract
In recent years there has been increased interest in identifying biological signatures of food consumption for use as biomarkers. Traditional metabolomics-based biomarker discovery approaches rely on multivariate statistics which cannot differentiate between host- and food-derived compounds, thus novel approaches to biomarker discovery are required to advance the field. To this aim, we have developed a new method that combines global untargeted stable isotope traced metabolomics and a machine learning approach to identify biological signatures of cruciferous vegetable consumption. Participants consumed a single serving of broccoli (n = 16), alfalfa sprouts (n = 16) or collard greens (n = 26) which contained either control unlabeled metabolites, or that were grown in the presence of deuterium-labeled water to intrinsically label metabolites. Mass spectrometry analysis indicated 133 metabolites in broccoli sprouts and 139 metabolites in the alfalfa sprouts were labeled with deuterium isotopes. Urine and plasma were collected and analyzed using untargeted metabolomics on an AB SCIEX TripleTOF 5,600 mass spectrometer. Global untargeted stable isotope tracing was completed using openly available software and a novel random forest machine learning based classifier. Among participants who consumed labeled broccoli sprouts or collard greens, 13 deuterium-incorporated metabolomic features were detected in urine representing 8 urine metabolites. Plasma was analyzed among collard green consumers and 11 labeled features were detected representing 5 plasma metabolites. These deuterium-labeled metabolites represent potential biological signatures of cruciferous vegetables consumption. Isoleucine, indole-3-acetic acid-N-O-glucuronide, dihydrosinapic acid were annotated as labeled compounds but other labeled metabolites could not be annotated. This work presents a novel framework for identifying biological signatures of food consumption for biomarker discovery. Additionally, this work presents novel applications of metabolomics and machine learning in the life sciences.
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Affiliation(s)
- John A. Bouranis
- School of Nutrition and Public Health, Oregon State University, Corvallis, OR, United States
- Linus Pauling Institute, Oregon State University, Corvallis, OR, United States
| | - Yijie Ren
- Department of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, United States
| | - Laura M. Beaver
- School of Nutrition and Public Health, Oregon State University, Corvallis, OR, United States
- Linus Pauling Institute, Oregon State University, Corvallis, OR, United States
| | - Jaewoo Choi
- Linus Pauling Institute, Oregon State University, Corvallis, OR, United States
| | - Carmen P. Wong
- School of Nutrition and Public Health, Oregon State University, Corvallis, OR, United States
- Linus Pauling Institute, Oregon State University, Corvallis, OR, United States
| | - Lily He
- Linus Pauling Institute, Oregon State University, Corvallis, OR, United States
| | - Maret G. Traber
- School of Nutrition and Public Health, Oregon State University, Corvallis, OR, United States
- Linus Pauling Institute, Oregon State University, Corvallis, OR, United States
| | - Jennifer Kelly
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States
| | - Sarah L. Booth
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States
| | - Jan F. Stevens
- Linus Pauling Institute, Oregon State University, Corvallis, OR, United States
- Department of Pharmaceutical Sciences, Oregon State University, Corvallis, OR, United States
| | - Xiaoli Z. Fern
- Department of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, United States
| | - Emily Ho
- School of Nutrition and Public Health, Oregon State University, Corvallis, OR, United States
- Linus Pauling Institute, Oregon State University, Corvallis, OR, United States
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4
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Yu M, Li Q, Dolios G, Tu P, Teitelbaum S, Chen J, Petrick L. Active Molecular Network Discovery Links Lifestyle Variables to Breast Cancer in the Long Island Breast Cancer Study Project. ENVIRONMENT & HEALTH (WASHINGTON, D.C.) 2024; 2:401-410. [PMID: 38932753 PMCID: PMC11197006 DOI: 10.1021/envhealth.3c00218] [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: 12/31/2023] [Revised: 04/01/2024] [Accepted: 04/03/2024] [Indexed: 06/28/2024]
Abstract
A healthy lifestyle has been associated with decreased risk of developing breast cancer. Using untargeted metabolomics profiling, which provides unbiased information regarding lifestyle choices such as diet and exercise, we aim to identify the molecular mechanisms connecting lifestyle and breast cancer through network analysis. A total of 100 postmenopausal women, 50 with breast cancer and 50 cancer-free controls, were selected from the Long Island Breast Cancer Study Project (LIBCSP). We measured untargeted plasma metabolomics using liquid chromatography-high-resolution mass spectrometry (LC-HRMS). Using the "enet" package, we retained highly correlated metabolites representing active molecular network (AMN) clusters for analysis. LASSO was used to examine associations between cancer status and AMN metabolites and covariates such as BMI, age, and reproductive factors. LASSO was then repeated to examine associations between AMN metabolites and 10 lifestyle-related variables including smoking, physical activity, alcohol consumption, meat consumption, fruit and vegetable consumption, and supplemental vitamin use. Results were displayed as a network to uncover biological pathways linking lifestyle factors to breast cancer status. After filtering, 851 "active" metabolites out of 1797 metabolomics were retained in 197 correlation AMN clusters. Using LASSO, breast cancer status was associated with 71 "active" metabolites. Several of these metabolites were associated with lifestyle variables including meat consumption, alcohol consumption, and supplemental β-carotene, B12, and folate use. Those metabolites could potentially serve as molecular-level biological intermediaries connecting healthy lifestyle factors to breast cancer, even though direct associations between breast cancer and the investigated lifestyles at the phenotype level are not evident. In particular, DiHODE, a metabolite linked with inflammation, was associated with breast cancer status and connected to β-carotene supplement usage through an AMN. We found several plasma metabolites associated with lifestyle factors and breast cancer status. Future studies investigating the mechanistic role of inflammation in linking supplement usage to breast cancer status are warranted.
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Affiliation(s)
- Miao Yu
- Department
of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States
- The
Jackson Laboratory, Farmington, Connecticut 06032, United States
| | - Qian Li
- Department
of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States
| | - Georgia Dolios
- Department
of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States
| | - Peijun Tu
- Department
of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States
| | - Susan Teitelbaum
- Department
of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States
- The
Institute for Exposomics Research, Icahn
School of Medicine at Mount Sinai, New York, New York 10029, United States
| | - Jia Chen
- Department
of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States
- The
Institute for Exposomics Research, Icahn
School of Medicine at Mount Sinai, New York, New York 10029, United States
| | - Lauren Petrick
- Department
of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States
- The
Institute for Exposomics Research, Icahn
School of Medicine at Mount Sinai, New York, New York 10029, United States
- The
Bert Strassburger Metabolic Center, Sheba
Medical Center, Tel-Hashomer 5266202, Israel
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5
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Petrone BL, Bartlett A, Jiang S, Korenek A, Vintila S, Tenekjian C, Yancy WS, David LA, Kleiner M. Metaproteomics and DNA metabarcoding as tools to assess dietary intake in humans. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.09.588275. [PMID: 38645092 PMCID: PMC11030321 DOI: 10.1101/2024.04.09.588275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Objective biomarkers of food intake are a sought-after goal in nutrition research. Most biomarker development to date has focused on metabolites detected in blood, urine, skin or hair, but detection of consumed foods in stool has also been shown to be possible via DNA sequencing. An additional food macromolecule in stool that harbors sequence information is protein. However, the use of protein as an intake biomarker has only been explored to a very limited extent. Here, we evaluate and compare measurement of residual food-derived DNA and protein in stool as potential biomarkers of intake. We performed a pilot study of DNA sequencing-based metabarcoding (FoodSeq) and mass spectrometry-based metaproteomics in five individuals' stool sampled in short, longitudinal bursts accompanied by detailed diet records (n=27 total samples). Dietary data provided by stool DNA, stool protein, and written diet record independently identified a strong within-person dietary signature, identified similar food taxa, and had significantly similar global structure in two of the three pairwise comparisons between measurement techniques (DNA-to-protein and DNA-to-diet record). Metaproteomics identified proteins including myosin, ovalbumin, and beta-lactoglobulin that differentiated food tissue types like beef from dairy and chicken from egg, distinctions that were not possible by DNA alone. Overall, our results lay the groundwork for development of targeted metaproteomic assays for dietary assessment and demonstrate that diverse molecular components of food can be leveraged to study food intake using stool samples.
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Affiliation(s)
- Brianna L Petrone
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, United States
- Medical Scientist Training Program, Duke University School of Medicine, Durham, NC, United States
| | - Alexandria Bartlett
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, United States
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, United States
| | - Sharon Jiang
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, United States
| | - Abigail Korenek
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, United States
| | - Simina Vintila
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, United States
| | | | - William S Yancy
- Duke Lifestyle and Weight Management Center, Durham, NC, United States
- Department of Medicine, Duke University School of Medicine, Durham, NC, United States
| | - Lawrence A David
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, United States
| | - Manuel Kleiner
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, United States
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6
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Winkvist A, Johansson I, Ellegård L, Lindqvist HM. Towards objective measurements of habitual dietary intake patterns: comparing NMR metabolomics and food frequency questionnaire data in a population-based cohort. Nutr J 2024; 23:29. [PMID: 38429740 PMCID: PMC10908051 DOI: 10.1186/s12937-024-00929-1] [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: 10/19/2023] [Accepted: 02/23/2024] [Indexed: 03/03/2024] Open
Abstract
BACKGROUND Low-quality, non-diverse diet is a main risk factor for premature death. Accurate measurement of habitual diet is challenging and there is a need for validated objective methods. Blood metabolite patterns reflect direct or enzymatically diet-induced metabolites. Here, we aimed to evaluate associations between blood metabolite patterns and a priori and data-driven food intake patterns. METHODS 1, 895 participants in the Northern Sweden Health and Disease Study, a population-based prospective cohort study, were included. Fasting plasma samples were analyzed with 1H Nuclear Magnetic Resonance. Food intake data from a 64-item validated food frequency questionnaire were summarized into a priori Healthy Diet Score (HDS), relative Mediterranean Diet Score (rMDS) and a set of plant-based diet indices (PDI) as well as data driven clusters from latent class analyses (LCA). Orthogonal projections to latent structures (OPLS) were used to explore clustering patterns of metabolites and their relation to reported dietary intake patterns. RESULTS Age, sex, body mass index, education and year of study participation had significant influence on OPLS metabolite models. OPLS models for healthful PDI and LCA-clusters were not significant, whereas for HDS, rMDS, PDI and unhealthful PDI significant models were obtained (CV-ANOVA p < 0.001). Still, model statistics were weak and the ability of the models to correctly classify participants into highest and lowest quartiles of rMDS, PDI and unhealthful PDI was poor (50%/78%, 42%/75% and 59%/70%, respectively). CONCLUSION Associations between blood metabolite patterns and a priori as well as data-driven food intake patterns were poor. NMR metabolomics may not be sufficiently sensitive to small metabolites that distinguish between complex dietary intake patterns, like lipids.
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Affiliation(s)
- Anna Winkvist
- Department of Internal Medicine and Clinical Nutrition, the Sahlgrenska Academy, University of Gothenburg, Box 459, Gothenburg, SE-405 30, Sweden.
- Department of Public Health and Clinical Medicine, Sustainable Health, Umeå University, Umeå, Sweden.
| | | | - Lars Ellegård
- Department of Internal Medicine and Clinical Nutrition, the Sahlgrenska Academy, University of Gothenburg, Box 459, Gothenburg, SE-405 30, Sweden
- Clinical Nutrition Unit, Department of Gastroenterology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Helen M Lindqvist
- Department of Internal Medicine and Clinical Nutrition, the Sahlgrenska Academy, University of Gothenburg, Box 459, Gothenburg, SE-405 30, Sweden
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Playdon MC, Tinker LF, Prentice RL, Loftfield E, Hayden KM, Van Horn L, Sampson JN, Stolzenberg-Solomon R, Lampe JW, Neuhouser ML, Moore SC. Measuring diet by metabolomics: a 14-d controlled feeding study of weighed food intake. Am J Clin Nutr 2024; 119:511-526. [PMID: 38212160 PMCID: PMC10884612 DOI: 10.1016/j.ajcnut.2023.10.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 09/12/2023] [Accepted: 10/11/2023] [Indexed: 01/13/2024] Open
Abstract
BACKGROUND Metabolomics has the potential to enhance dietary assessment by revealing objective measures of many aspects of human food intake. Although metabolomics studies indicate that hundreds of metabolites are associated with dietary intake, correlations have been modest (e.g., r < 0.50), and few have been evaluated in controlled feeding studies. OBJECTIVES The aim of this study was to evaluate associations between metabolites and weighed food and beverage intake in a controlled feeding study of habitual diet. METHODS Healthy postmenopausal females from the Women's Health Initiative (N = 153) were provided with a customized 2-wk controlled diet designed to emulate their usual diet. Metabolites were measured by liquid chromatography tandem mass spectrometry in end-of-study 24-h urine and fasting serum samples (1293 urine metabolites; 1113 serum metabolites). We calculated partial Pearson correlations between these metabolites and intake of 65 food groups, beverages, and supplements during the feeding study. The threshold for significance was Bonferroni-adjusted to account for multiple testing (5.94 × 10-07 for urine metabolites; 6.91 × 10-07 for serum metabolites). RESULTS Significant diet-metabolite correlations were identified for 23 distinct foods, beverages, and supplements (171 distinct metabolites). Among foods, strong metabolite correlations (r ≥ 0.60) were evident for citrus (highest r = 0.80), dairy (r = 0.65), and broccoli (r = 0.63). Among beverages and supplements, strong correlations were evident for coffee (r = 0.86), alcohol (r = 0.69), multivitamins (r = 0.69), and vitamin E supplements (r = 0.65). Moderate correlations (r = 0.50-0.60) were also observed for avocado, fish, garlic, grains, onion, poultry, and black tea. Correlations were specific; each metabolite correlated with one food, beverage, or supplement, except for metabolites correlated with juice or multivitamins. CONCLUSIONS Metabolite levels had moderate to strong correlations with weighed intake of habitually consumed foods, beverages, and supplements. These findings exceed in magnitude those previously observed in population studies and exemplify the strong potential of metabolomics to contribute to nutrition research. The Women's Health Initiative is registered at clinicaltrials.gov as NCT00000611.
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Affiliation(s)
- Mary C Playdon
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT; Department of Population Health Sciences, University of Utah, Salt Lake City, UT; Cancer Control and Population Sciences Division, Huntsman Cancer Institute, Salt Lake City, UT; Division of Cancer Epidemiology and Genetics, National Cancer institute, Rockville, MD
| | - Lesley F Tinker
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center and University of Washington, Seattle, WA
| | - Ross L Prentice
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center and University of Washington, Seattle, WA
| | - Erikka Loftfield
- Division of Cancer Epidemiology and Genetics, National Cancer institute, Rockville, MD
| | - Kathleen M Hayden
- School of Medicine, Wake Forest Baptist Medical Center, Winston-Salem, NC
| | - Linda Van Horn
- Feinberg School of Medicine, Northwestern University, Chicago IL
| | - Joshua N Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer institute, Rockville, MD
| | | | - Johanna W Lampe
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center and University of Washington, Seattle, WA
| | - Marian L Neuhouser
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center and University of Washington, Seattle, WA
| | - Steven C Moore
- Division of Cancer Epidemiology and Genetics, National Cancer institute, Rockville, MD.
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Burgard L, Jansen S, Spiegler C, Brettschneider AK, Straßburg A, Alexy U, Storcksdieck genannt Bonsmann S, Ensenauer R, Heuer T. Unfavorable nutrient intakes in children up to school entry age: results from the nationwide German KiESEL study. Front Nutr 2024; 10:1302323. [PMID: 38323223 PMCID: PMC10844530 DOI: 10.3389/fnut.2023.1302323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 12/13/2023] [Indexed: 02/08/2024] Open
Abstract
Background Nutrition in the first years of life is a cornerstone for child development and long-term health, yet there is a lack of current data on energy and nutrient intake among toddlers and preschoolers in Germany. Objective To analyze energy and nutrient intake in toddlers (1- to 2-year-olds) and preschoolers (3- to 5-year-olds) in Germany and compare the results with the Dietary Reference Values (DRVs) by the European Food Safety Authority. Design Dietary intake was assessed by weighed food record data (3 + 1 day) of 890 children from the representative cross-sectional Children's Nutrition Survey to Record Food Consumption (KiESEL), carried out in 2014-2017 as a module of the German Health Interview and Examination Survey for Children and Adolescents Wave 2. For the calculation of energy and nutrient intake, the German Nutrient Database BLS 3.02, LEBTAB, and a supplement database were used. Results Median intakes of energy and most nutrients met or exceeded the DRVs in both toddlers and preschoolers. However, low intakes relative to DRVs were found for vitamin D (6-9% of DRV, including supplements) and iodine (57-65% of DRV). Age specific downward deviations were observed for iron intake in toddlers (75% of DRV) and for calcium intake in preschoolers (67-77% of DRV). In contrast, intakes were high for saturated fatty acids (SFA) (14-16 E%), mono-/disaccharides (60-87 g/day), and protein [2.1-2.6 g/(kg body weight*day)]. Conclusion Nutrient imbalances in toddlers and preschoolers in Germany, which are partly age-related, give rise to concern. Research is needed to determine if routine vitamin D supplementation should be extended beyond infancy. Public health efforts to increase the rate of use of iodized salt and to reduce the intake of SFA and mono-/disaccharides in children's diets are to be strengthened.
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Affiliation(s)
- Leonie Burgard
- Department of Nutritional Behaviour, Max Rubner-Institut (MRI) – Federal Research Institute of Nutrition and Food, Karlsruhe, Germany
| | - Sara Jansen
- Department of Child Nutrition, Max Rubner-Institut (MRI) – Federal Research Institute of Nutrition and Food, Karlsruhe, Germany
| | - Clarissa Spiegler
- Department of Nutritional Behaviour, Max Rubner-Institut (MRI) – Federal Research Institute of Nutrition and Food, Karlsruhe, Germany
| | - Anna-Kristin Brettschneider
- Department of Child Nutrition, Max Rubner-Institut (MRI) – Federal Research Institute of Nutrition and Food, Karlsruhe, Germany
| | - Andrea Straßburg
- Department of Nutritional Behaviour, Max Rubner-Institut (MRI) – Federal Research Institute of Nutrition and Food, Karlsruhe, Germany
| | - Ute Alexy
- Department of Nutritional Epidemiology, Institute of Nutrition and Food Sciences, University of Bonn, Bonn, Germany
| | | | - Regina Ensenauer
- Department of Child Nutrition, Max Rubner-Institut (MRI) – Federal Research Institute of Nutrition and Food, Karlsruhe, Germany
| | - Thorsten Heuer
- Department of Nutritional Behaviour, Max Rubner-Institut (MRI) – Federal Research Institute of Nutrition and Food, Karlsruhe, Germany
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9
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Hill EB, Reisdorph RM, Rasolofomanana-Rajery S, Michel C, Khajeh-Sharafabadi M, Doenges KA, Weaver N, Quinn K, Sutliff AK, Tang M, Borengasser SJ, Frank DN, O'Connor LE, Campbell WW, Krebs NF, Hendricks AE, Reisdorph NA. Salmon Food-Specific Compounds and Their Metabolites Increase in Human Plasma and Are Associated with Cardiometabolic Health Indicators Following a Mediterranean-Style Diet Intervention. J Nutr 2024; 154:26-40. [PMID: 37918675 PMCID: PMC10808825 DOI: 10.1016/j.tjnut.2023.10.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 09/25/2023] [Accepted: 10/19/2023] [Indexed: 11/04/2023] Open
Abstract
BACKGROUND Nutrimetabolomics allows for the comprehensive analysis of foods and human biospecimens to identify biomarkers of intake and begin to probe their associations with health. Salmon contains hundreds of compounds that may provide cardiometabolic benefits. OBJECTIVES We used untargeted metabolomics to identify salmon food-specific compounds (FSCs) and their predicted metabolites that were found in plasma after a salmon-containing Mediterranean-style (MED) diet intervention. Associations between changes in salmon FSCs and changes in cardiometabolic health indicators (CHIs) were also explored. METHODS For this secondary analysis of a randomized, crossover, controlled feeding trial, 41 participants consumed MED diets with 2 servings of salmon per week for 2 5-wk periods. CHIs were assessed, and fasting plasma was collected pre- and postintervention. Plasma, salmon, and 99 MED foods were analyzed using liquid chromatography-mass spectrometry-based metabolomics. Compounds were characterized as salmon FSCs if detected in all salmon replicates but none of the other foods. Metabolites of salmon FSCs were predicted using machine learning. For salmon FSCs and metabolites found in plasma, linear mixed-effect models were used to assess change from pre- to postintervention and associations with changes in CHIs. RESULTS Relative to the other 99 MED foods, there were 508 salmon FSCs with 237 unique metabolites. A total of 143 salmon FSCs and 106 metabolites were detected in plasma. Forty-eight salmon FSCs and 30 metabolites increased after the intervention (false discovery rate <0.05). Increases in 2 annotated salmon FSCs and 2 metabolites were associated with improvements in CHIs, including total cholesterol, low-density lipoprotein cholesterol, triglycerides, and apolipoprotein B. CONCLUSIONS A data-driven nutrimetabolomics strategy identified salmon FSCs and their predicted metabolites that were detectable in plasma and changed after consumption of a salmon-containing MED diet. Findings support this approach for the discovery of compounds in foods that may serve, upon further validation, as biomarkers or act as bioactive components influential to health. The trials supporting this work were registered at NCT02573129 (Mediterranean-style diet intervention) and NCT05500976 (ongoing clinical trial).
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Affiliation(s)
- Emily B Hill
- Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Richard M Reisdorph
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Sakaiza Rasolofomanana-Rajery
- Department of Mathematical and Statistical Sciences, University of Colorado Denver, Denver, CO, United States; Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Cole Michel
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Mobin Khajeh-Sharafabadi
- Department of Mathematical and Statistical Sciences, University of Colorado Denver, Denver, CO, United States
| | - Katrina A Doenges
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Nicholas Weaver
- Department of Mathematical and Statistical Sciences, University of Colorado Denver, Denver, CO, United States
| | - Kevin Quinn
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Aimee K Sutliff
- Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Minghua Tang
- Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Sarah J Borengasser
- Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Daniel N Frank
- Division of Infectious Diseases, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Lauren E O'Connor
- USDA, Agricultural Research Service, Beltsville Human Nutrition Research Center, Food Components and Health Laboratory, Beltsville, MD, United States
| | - Wayne W Campbell
- Department of Nutrition Science, Purdue University, West Lafayette, IN, United States
| | - Nancy F Krebs
- Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Audrey E Hendricks
- Department of Mathematical and Statistical Sciences, University of Colorado Denver, Denver, CO, United States; Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
| | - Nichole A Reisdorph
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
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10
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Shinn LM, Mansharamani A, Baer DJ, Novotny JA, Charron CS, Khan NA, Zhu R, Holscher HD. Fecal Metagenomics to Identify Biomarkers of Food Intake in Healthy Adults: Findings from Randomized, Controlled, Nutrition Trials. J Nutr 2024; 154:271-283. [PMID: 37949114 DOI: 10.1016/j.tjnut.2023.11.001] [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: 04/07/2023] [Revised: 10/11/2023] [Accepted: 11/03/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND Undigested components of the human diet affect the composition and function of the microorganisms present in the gastrointestinal tract. Techniques like metagenomic analyses allow researchers to study functional capacity, thus revealing the potential of using metagenomic data for developing objective biomarkers of food intake. OBJECTIVES As a continuation of our previous work using 16S and metabolomic datasets, we aimed to utilize a computationally intensive, multivariate, machine-learning approach to identify fecal KEGG (Kyoto encyclopedia of genes and genomes) Orthology (KO) categories as biomarkers that accurately classify food intake. METHODS Data were aggregated from 5 controlled feeding studies that studied the individual impact of almonds, avocados, broccoli, walnuts, barley, and oats on the adult gastrointestinal microbiota. Deoxyribonucleic acid from preintervention and postintervention fecal samples underwent shotgun genomic sequencing. After preprocessing, sequences were aligned and functionally annotated with Double Index AlignMent Of Next-generation sequencing Data v2.0.11.149 and MEtaGenome ANalyzer v6.12.2, respectively. After the count normalization, the log of the fold change ratio for resulting KOs between pre- and postintervention of the treatment group against its corresponding control was utilized to conduct differential abundance analysis. Differentially abundant KOs were used to train machine-learning models examining potential biomarkers in both single-food and multi-food models. RESULTS We identified differentially abundant KOs in the almond (n = 54), broccoli (n = 2474), and walnut (n = 732) groups (q < 0.20), which demonstrated classification accuracies of 80%, 87%, and 86% for the almond, broccoli, and walnut groups using a random forest model to classify food intake into each food group's respective treatment and control arms, respectively. The mixed-food random forest achieved 81% accuracy. CONCLUSIONS Our findings reveal promise in utilizing fecal metagenomics to objectively complement self-reported measures of food intake. Future research on various foods and dietary patterns will expand these exploratory analyses for eventual use in feeding study compliance and clinical settings.
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Affiliation(s)
- Leila M Shinn
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, United States
| | - Aditya Mansharamani
- Department of Computer Science, University of Illinois at Urbana-Champaign, Champaign, IL, United States
| | - David J Baer
- USDA, Agricultural Research Service, Beltsville Human Nutrition Research Center, Beltsville, MD, United States
| | - Janet A Novotny
- USDA, Agricultural Research Service, Beltsville Human Nutrition Research Center, Beltsville, MD, United States
| | - Craig S Charron
- USDA, Agricultural Research Service, Beltsville Human Nutrition Research Center, Beltsville, MD, United States
| | - Naiman A Khan
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, United States; Department of Kinesiology and Community Health, University of Illinois, Urbana, IL, United States
| | - Ruoqing Zhu
- Department of Statistics, University of Illinois at Urbana-Champaign, Champaign, IL, United States; National Center for Supercomputing Applications, University of Illinois, Urbana, IL, United States.
| | - Hannah D Holscher
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, United States; Department of Kinesiology and Community Health, University of Illinois, Urbana, IL, United States; National Center for Supercomputing Applications, University of Illinois, Urbana, IL, United States; Department of Food Science and Human Nutrition, University of Illinois, Urbana, IL, United States.
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11
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Sawicki C, Haslam D, Bhupathiraju S. Utilising the precision nutrition toolkit in the path towards precision medicine. Proc Nutr Soc 2023; 82:359-369. [PMID: 37475596 DOI: 10.1017/s0029665123003038] [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] [Indexed: 07/22/2023]
Abstract
The overall aim of precision nutrition is to replace the 'one size fits all' approach to dietary advice with recommendations that are more specific to the individual in order to improve the prevention or management of chronic disease. Interest in precision nutrition has grown with advancements in technologies such as genomics, proteomics, metabolomics and measurement of the gut microbiome. Precision nutrition initiatives have three major applications in precision medicine. First, they aim to provide more 'precision' dietary assessments through artificial intelligence, wearable devices or by employing omic technologies to characterise diet more precisely. Secondly, precision nutrition allows us to understand the underlying mechanisms of how diet influences disease risk and identify individuals who are more susceptible to disease due to gene-diet or microbiota-diet interactions. Third, precision nutrition can be used for 'personalised nutrition' advice where machine-learning algorithms can integrate data from omic profiles with other personal and clinical measures to improve disease risk. Proteomics and metabolomics especially provide the ability to discover new biomarkers of food or nutrient intake, proteomic or metabolomic signatures of diet and disease, and discover potential mechanisms of diet-disease interactions. Although there are several challenges that must be overcome to improve the reproducibility, cost-effectiveness and efficacy of these approaches, precision nutrition methodologies have great potential for nutrition research and clinical application.
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Affiliation(s)
- Caleigh Sawicki
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Danielle Haslam
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Shilpa Bhupathiraju
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
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12
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Krasnovsky L, Crowley AP, Naeem F, Wang LS, Wu GD, Chao AM. A Scoping Review of Nutritional Biomarkers Associated with Food Security. Nutrients 2023; 15:3576. [PMID: 37630766 PMCID: PMC10459650 DOI: 10.3390/nu15163576] [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: 07/19/2023] [Revised: 08/05/2023] [Accepted: 08/10/2023] [Indexed: 08/27/2023] Open
Abstract
Food insecurity affects more than 40 million individuals in the United States and is linked to negative health outcomes due, in part, to poor dietary quality. Despite the emergence of metabolomics as a modality to objectively characterize nutritional biomarkers, it is unclear whether food security is associated with any biomarkers of dietary quality. This scoping review aims to summarize studies that examined associations between nutritional biomarkers and food security, as well as studies that investigated metabolomic differences between people with and without food insecurity. PubMed, Embase, Scopus, and AGRICOLA were searched through August 2022 for studies describing food insecurity and metabolic markers in blood, urine, plasma, hair, or nails. The 78 studies included consisted of targeted assays quantifying lipids, dietary nutrients, heavy metals, and environmental xenobiotics as biochemical features associated with food insecurity. Among those biomarkers which were quantified in at least five studies, none showed a consistent association with food insecurity. Although three biomarkers of dietary quality have been assessed between food-insecure versus food-secure populations, no studies have utilized untargeted metabolomics to characterize patterns of small molecules that distinguish between these two populations. Further studies are needed to characterize the dietary quality profiles of individuals with and without food insecurity.
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Affiliation(s)
- Lev Krasnovsky
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; (A.P.C.); (F.N.); (L.S.W.)
| | - Aidan P. Crowley
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; (A.P.C.); (F.N.); (L.S.W.)
| | - Fawaz Naeem
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; (A.P.C.); (F.N.); (L.S.W.)
| | - Lucy S. Wang
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; (A.P.C.); (F.N.); (L.S.W.)
| | - Gary D. Wu
- Division of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA;
| | - Ariana M. Chao
- Johns Hopkins School of Nursing, Johns Hopkins University, Baltimore, MD 21205, USA;
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13
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Ong ES. Urine Metabolites and Bioactive Compounds from Functional Food: Applications of Liquid Chromatography Mass Spectrometry. Crit Rev Anal Chem 2023:1-16. [PMID: 37454386 DOI: 10.1080/10408347.2023.2235442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Abstract
Bioactive compounds in functional foods, medicinal plants and others are considered attractive value-added molecules based on their wide range of bioactivity. It is clear that an important role is occupied by polyphenol, phenolic compounds and others. Urine is an effective biofluid to evaluate and monitor alterations in homeostasis and other processes related to metabolism. The current review provides a detailed description of the formation of urine in human body, various aspects relevant to sampling and analysis of urinary metabolites before presenting recent developments leveraging on metabolite profiling of urine. For the profiling of small molecules in urine, advancement of liquid chromatography mass tandem spectrometry (LC/MS/MS), establishment of standardized chemical fragmentation libraries, computational resources, data-analysis approaches with pattern recognition tools have made it an attractive option. The profiling of urinary metabolites gives an overview of the biomarkers associated with the diet and evaluates its biological effects. Metabolic pathways such as glycolysis, tricarboxylic acid cycle, amino acid metabolism, energy metabolism, purine metabolism and others can be evaluated. Finally, a combination of metabolite profiling with chemical standardization and bioassay in functional food and medicinal plants will likely lead to the identification of new biomarkers and novel biochemical insights.
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Affiliation(s)
- Eng Shi Ong
- Singapore University of Technology and Design, Singapore, Republic of Singapore
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14
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Chowdhury CR, Kavitake D, Jaiswal KK, Jaiswal KS, Reddy GB, Agarwal V, Shetty PH. NMR-based metabolomics as a significant tool for human nutritional research and health applications. FOOD BIOSCI 2023. [DOI: 10.1016/j.fbio.2023.102538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
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15
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Feng Q. Editorial: Causal inference in diet, nutrition and health outcomes. Front Nutr 2023; 10:1204695. [PMID: 37234551 PMCID: PMC10206328 DOI: 10.3389/fnut.2023.1204695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 04/27/2023] [Indexed: 05/28/2023] Open
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16
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Kaplan RC, Williams-Nguyen JS, Huang Y, Mossavar-Rahmani Y, Yu B, Boerwinkle E, Gellman MD, Daviglus M, Chilcoat A, Van Horn L, Faurot K, Qi Q, Greenlee H. Identification of Dietary Supplements Associated with Blood Metabolites in the Hispanic Community Health Study/Study of Latinos Cohort Study. J Nutr 2023; 153:1483-1492. [PMID: 36822396 PMCID: PMC10356961 DOI: 10.1016/j.tjnut.2023.02.021] [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: 04/05/2022] [Revised: 01/09/2023] [Accepted: 02/16/2023] [Indexed: 02/23/2023] Open
Abstract
BACKGROUND Metabolomics approaches have been widely used to define the consumption of foods but have less often been used to study exposure to dietary supplements. OBJECTIVES This study aimed to identify dietary supplements associated with metabolite levels and to examine whether these metabolites predicted incident diabetes risk. METHODS We studied 3972 participants from a prospective cohort study of 18-74-y-old Hispanic/Latino adults. At a baseline examination, we ascertained use of dietary supplements using recall methods and concurrently, a serum metabolomic panel. After adjustment for potential confounders, we identified dietary supplements associated with metabolites. We then examined the association of these metabolites with incident diabetes at the 6-y study examination. RESULTS We observed a total of 110 dietary supplement-metabolite associations that met the criteria for statistical significance adjusted for age, sex, field center, Hispanic/Latino background, body mass index, diet, smoking, physical activity, and number of medications (adjusted P < 0.05). This included 13 metabolites uniquely associated with only one dietary supplement ingredient. Vitamin C had the most associated metabolites (n = 15), including positive associations with oxalate, tartronate, threonate, and isocitrate, which were each in turn protective for the risk of incident diabetes. Vitamin C was also associated with higher N-acetylvaline level, which was an unfavorable diabetes risk factor. Other findings related to branched chain amino acid related compounds including α-hydroxyisovalerate and 2-hydroxy-3-methylvalerate, which were inversely associated with thiamine or riboflavin intake and also predicted higher diabetes risk. Vitamin B12 had an inverse association with γ-glutamylvaline, levels of which were positively associated with the risk of diabetes. CONCLUSIONS Our data point to potential metabolite changes associated with vitamin C and B vitamins, which may have favorable metabolic effects. Knowledge of blood metabolites that can be modified by dietary supplement intake may aid understanding the health effects of dietary supplements and identify potential biological mediators.
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Affiliation(s)
- Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
| | | | - Yuhan Huang
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA; Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Marc D Gellman
- Department of Psychology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Martha Daviglus
- Institute for Minority Health Research, University of Illinois-Chicago, Chicago, IL, USA
| | - Aisha Chilcoat
- Program on Integrative Medicine, Department of Physical Medicine & Rehabilitation, University of North Carolina-Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Linda Van Horn
- Department of Preventive Medicine, Northwestern University School of Medicine, Chicago, IL, USA
| | - Kim Faurot
- Program on Integrative Medicine, Department of Physical Medicine & Rehabilitation, University of North Carolina-Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Heather Greenlee
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
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17
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Trius-Soler M, Praticò G, Gürdeniz G, Garcia-Aloy M, Canali R, Fausta N, Brouwer-Brolsma EM, Andrés-Lacueva C, Dragsted LO. Biomarkers of moderate alcohol intake and alcoholic beverages: a systematic literature review. GENES & NUTRITION 2023; 18:7. [PMID: 37076809 PMCID: PMC10114415 DOI: 10.1186/s12263-023-00726-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Accepted: 04/04/2023] [Indexed: 04/21/2023]
Abstract
The predominant source of alcohol in the diet is alcoholic beverages, including beer, wine, spirits and liquors, sweet wine, and ciders. Self-reported alcohol intakes are likely to be influenced by measurement error, thus affecting the accuracy and precision of currently established epidemiological associations between alcohol itself, alcoholic beverage consumption, and health or disease. Therefore, a more objective assessment of alcohol intake would be very valuable, which may be established through biomarkers of food intake (BFIs). Several direct and indirect alcohol intake biomarkers have been proposed in forensic and clinical contexts to assess recent or longer-term intakes. Protocols for performing systematic reviews in this field, as well as for assessing the validity of candidate BFIs, have been developed within the Food Biomarker Alliance (FoodBAll) project. The aim of this systematic review is to list and validate biomarkers of ethanol intake per se excluding markers of abuse, but including biomarkers related to common categories of alcoholic beverages. Validation of the proposed candidate biomarker(s) for alcohol itself and for each alcoholic beverage was done according to the published guideline for biomarker reviews. In conclusion, common biomarkers of alcohol intake, e.g., as ethyl glucuronide, ethyl sulfate, fatty acid ethyl esters, and phosphatidyl ethanol, show considerable inter-individual response, especially at low to moderate intakes, and need further development and improved validation, while BFIs for beer and wine are highly promising and may help in more accurate intake assessments for these specific beverages.
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Affiliation(s)
- Marta Trius-Soler
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, 1958, Frederiksberg C, Denmark
- Polyphenol Research Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XIA School of Pharmacy and Food Sciences, University of Barcelona, 08028, Barcelona, Spain
- INSA-UB, Nutrition and Food Safety Research Institute, University of Barcelona, 08921, Santa Coloma de Gramanet, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Giulia Praticò
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, 1958, Frederiksberg C, Denmark
| | - Gözde Gürdeniz
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, 1958, Frederiksberg C, Denmark
| | - Mar Garcia-Aloy
- Biomarker & Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028, Barcelona, Spain
- Metabolomics Unit, Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'Adige, Italy
| | - Raffaella Canali
- Consiglio Per La Ricerca in Agricoltura E L'analisi Dell'economia Agraria (CREA) Research Centre for Food and Nutrition, Rome, Italy
| | - Natella Fausta
- Consiglio Per La Ricerca in Agricoltura E L'analisi Dell'economia Agraria (CREA) Research Centre for Food and Nutrition, Rome, Italy
| | - Elske M Brouwer-Brolsma
- Division of Human Nutrition and Health, Department Agrotechnology and Food Sciences, Wageningen University and Research, P.O. Box 17, 6700 AA, Wageningen, The Netherlands
| | - Cristina Andrés-Lacueva
- INSA-UB, Nutrition and Food Safety Research Institute, University of Barcelona, 08921, Santa Coloma de Gramanet, Spain
- Biomarker & Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad Y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Lars Ove Dragsted
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, 1958, Frederiksberg C, Denmark.
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18
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Ramos-Garcia V, Ten-Doménech I, Moreno-Giménez A, Campos-Berga L, Parra-Llorca A, Gormaz M, Vento M, Karipidou M, Poulimeneas D, Mamalaki E, Bathrellou E, Kuligowski J. Joint Microbiota Activity and Dietary Assessment through Urinary Biomarkers by LC-MS/MS. Nutrients 2023; 15:nu15081894. [PMID: 37111113 PMCID: PMC10146414 DOI: 10.3390/nu15081894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 04/03/2023] [Accepted: 04/12/2023] [Indexed: 04/29/2023] Open
Abstract
Accurate dietary assessment in nutritional research is a huge challenge, but essential. Due to the subjective nature of self-reporting methods, the development of analytical methods for food intake and microbiota biomarkers determination is needed. This work presents an ultra-high performance liquid chromatography coupled to tandem mass spectrometry (UHPLC-MS/MS) method for the quantification and semi quantification of 20 and 201 food intake biomarkers (BFIs), respectively, as well as 7 microbiota biomarkers applied to 208 urine samples from lactating mothers (M) (N = 59). Dietary intake was assessed through a 24 h dietary recall (R24h). BFI analysis identified three distinct clusters among samples: samples from clusters 1 and 3 presented higher concentrations of most biomarkers than those from cluster 2, with dairy products and milk biomarkers being more concentrated in cluster 1, and seeds, garlic and onion in cluster 3. Significant correlations were observed between three BFIs (fruits, meat, and fish) and R24h data (r > 0.2, p-values < 0.01, Spearman correlation). Microbiota activity biomarkers were simultaneously evaluated and the subgroup patterns detected were compared to clusters from dietary assessment. These results evidence the feasibility, usefulness, and complementary nature of the determination of BFIs, R24h, and microbiota activity biomarkers in observational nutrition cohort studies.
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Affiliation(s)
- Victoria Ramos-Garcia
- Neonatal Research Unit, Health Research Institute Hospital La Fe, Avda Fernando Abril Martorell 106, 46026 Valencia, Spain
| | - Isabel Ten-Doménech
- Neonatal Research Unit, Health Research Institute Hospital La Fe, Avda Fernando Abril Martorell 106, 46026 Valencia, Spain
| | - Alba Moreno-Giménez
- Neonatal Research Unit, Health Research Institute Hospital La Fe, Avda Fernando Abril Martorell 106, 46026 Valencia, Spain
| | - Laura Campos-Berga
- Neonatal Research Unit, Health Research Institute Hospital La Fe, Avda Fernando Abril Martorell 106, 46026 Valencia, Spain
| | - Anna Parra-Llorca
- Neonatal Research Unit, Health Research Institute Hospital La Fe, Avda Fernando Abril Martorell 106, 46026 Valencia, Spain
| | - María Gormaz
- Division of Neonatology, University & Polytechnic Hospital La Fe, Avda Fernando Abril Martorell 106, 46026 Valencia, Spain
| | - Máximo Vento
- Neonatal Research Unit, Health Research Institute Hospital La Fe, Avda Fernando Abril Martorell 106, 46026 Valencia, Spain
- Division of Neonatology, University & Polytechnic Hospital La Fe, Avda Fernando Abril Martorell 106, 46026 Valencia, Spain
| | - Melina Karipidou
- Department of Nutrition and Dietetics, Harokopio University of Athens, El. Venizelou 70, 17676 Kallithea, Greece
| | - Dimitrios Poulimeneas
- Department of Nutrition and Dietetics, Harokopio University of Athens, El. Venizelou 70, 17676 Kallithea, Greece
| | - Eirini Mamalaki
- Department of Nutrition and Dietetics, Harokopio University of Athens, El. Venizelou 70, 17676 Kallithea, Greece
| | - Eirini Bathrellou
- Department of Nutrition and Dietetics, Harokopio University of Athens, El. Venizelou 70, 17676 Kallithea, Greece
| | - Julia Kuligowski
- Neonatal Research Unit, Health Research Institute Hospital La Fe, Avda Fernando Abril Martorell 106, 46026 Valencia, Spain
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Gürdeniz G, Kim M, Brustad N, Ernst M, Russo F, Stokholm J, Bønnelykke K, Hougaard D, Rasmussen M, Cohen A, Chawes B. Furan fatty acid metabolite in newborns predicts risk of asthma. Allergy 2023; 78:429-438. [PMID: 36254396 DOI: 10.1111/all.15554] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 08/29/2022] [Accepted: 09/12/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND Intake of fish-oil and fatty fish during pregnancy has been shown to reduce the risk of childhood asthma but biomarkers of such intake are lacking. OBJECTIVE To establish biomarkers of prenatal fish-oil exposure from newborn dry blood spot metabolomics profiles and assess their relevance for childhood asthma risk stratification. METHODS The Danish COPSAC2010 mother-child cohort was utilized to investigate the effect of a double-blinded randomized controlled trial of fish-oil supplementation during pregnancy on dry blood spot liquid-chromatography mass spectrometry-based metabolomics profiles of 677 newborns. We thereafter investigated the association between fish-oil associated biomarkers in the newborn and development of asthma-related outcomes. Replication was sought in the independent observational COPSAC2000 cohort with 387 newborn metabolomics profiles. RESULTS The newborn metabolomics profiles differed between children in the fish-oil vs. placebo group in COPSAC2010 (area under the receiver operator curve = 0.94 ± 0.03, p < .001). The fish-oil metabolomics profile and the top biomarker, 3-carboxy-4-methyl-5-propyl-2-furan propanoic acid (CMPF) were both associated with a decreased risk of asthma by age 6 years (HR = 0.89, p = .002 and HR = 0.67, p = .005, respectively). In COPSAC2000 , newborn CMPF level was also inversely associated with asthma risk by age 6 years (HR = 0.69, p = .01). Troublesome lung symptoms and common infections in the first 3 years were also inversely associated with newborn CMPF levels in both cohorts. CONCLUSIONS Newborn children's blood levels of the furan fatty acid metabolite CMPF reflect fish-oil and fatty fish intake during pregnancy and are associated with a lower risk of asthma across two cohorts, which could aid newborn screening for childhood asthma.
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Affiliation(s)
- Gözde Gürdeniz
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark.,Section of Chemometrics and Analytical Technologies, Department of Food Science, University of Copenhagen, Frederiksberg C, Denmark
| | - Min Kim
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark
| | - Nicklas Brustad
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark
| | - Madeleine Ernst
- Section for Clinical Mass Spectrometry, Danish Center for Neonatal Screening, Department of Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Francesco Russo
- Section for Clinical Mass Spectrometry, Danish Center for Neonatal Screening, Department of Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Jakob Stokholm
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark
| | - Klaus Bønnelykke
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark
| | - David Hougaard
- Section for Clinical Mass Spectrometry, Danish Center for Neonatal Screening, Department of Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Morten Rasmussen
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark.,Section of Chemometrics and Analytical Technologies, Department of Food Science, University of Copenhagen, Frederiksberg C, Denmark
| | - Arieh Cohen
- Section for Clinical Mass Spectrometry, Danish Center for Neonatal Screening, Department of Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Bo Chawes
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark
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20
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Singh A, Dhasmana A, Bandhu A, Kapoor R, Baalasubramanian S, Ghosh-Jerath S. Contribution of natural food environments to nutritional intake and biomarker status: insights from the women of indigenous santhal communities of Jharkhand, India. BMC Nutr 2023; 9:20. [PMID: 36707902 PMCID: PMC9881317 DOI: 10.1186/s40795-023-00669-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 01/02/2023] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Many indigenous communities reside in biodiverse environments replete with natural food sources but show poor access and utilization. METHODS To understand the links between indigenous food access, dietary intakes, and biomarkers, we conducted a cross-sectional study among women of the Santhal Community (n = 211) from 17 villages in the Godda district of Jharkhand, India. Survey methods included household surveys, dietary intake assessment (24 HDR) and micronutrient and inflammatory biomarkers' estimation. RESULTS The diversity in access to foods from different natural sources expressed as Food access diversity index was low. This led to poor consumption and thus a low Minimum Dietary Diversity. The mean nutrient intake was less than the estimated average requirement for all nutrients. Women with higher dietary diversity scores had higher nutrient intakes. Thiamine and calcium intakes were significantly higher in women consuming indigenous foods than non-consumers. One-fourth of the women had elevated levels of inflammatory biomarkers. The prevalence of iron deficiency was approximately 70%. Vitamin A insufficiency (measured as retinol-binding protein) was observed in around 33.6% women, while 28.4% were deficient. Household access to natural food sources was associated with specific biomarkers. The access to kitchen garden (baari) was positively associated with retinol-binding protein levels and negatively with inflammatory biomarkers, while access to ponds was positively associated with ferritin levels. CONCLUSION The findings highlight the role of access to diverse natural foods resources, including indigenous foods, for improving nutrition security in indigenous communities. Nutrition and health programs promoting indigenous food sources should include the assessment of biomarkers for effective monitoring and surveillance.
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Affiliation(s)
- Archna Singh
- grid.413618.90000 0004 1767 6103Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India
| | - Ayushi Dhasmana
- grid.464831.c0000 0004 8496 8261The George Institute for Global Health, 308, Third Floor, Elegance Tower, Plot No.8, Jasola District Centre, New Delhi, 110025 India
| | - Ashish Bandhu
- grid.464858.30000 0001 0495 1821School of Institute of Health Management Research, IIHMR University, Jaipur, India
| | - Ridhima Kapoor
- grid.464831.c0000 0004 8496 8261The George Institute for Global Health, 308, Third Floor, Elegance Tower, Plot No.8, Jasola District Centre, New Delhi, 110025 India
| | | | - Suparna Ghosh-Jerath
- grid.464831.c0000 0004 8496 8261The George Institute for Global Health, 308, Third Floor, Elegance Tower, Plot No.8, Jasola District Centre, New Delhi, 110025 India
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21
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Lacalle-Bergeron L, Izquierdo-Sandoval D, Sancho JV, Portolés T. Discovery of Food Intake Biomarkers Using Metabolomics. Methods Mol Biol 2023; 2571:33-43. [PMID: 36152148 DOI: 10.1007/978-1-0716-2699-3_4] [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: 06/16/2023]
Abstract
Due to the high impact of diet exposure on health, it is crucial the generation of robust data of regular dietary intake, hence improving the accuracy of dietary assessment. The metabolites derived from individual food or group of food have great potential to become biomarkers of food intake (BFIs) and provide more objective food consumption measurements.Herein, it is presented an untargeted metabolomic workflow for the discovery BFIs in blood and urine samples, from the study design to the biomarker identification. Samples are analyzed by liquid chromatography coupled to high-resolution mass spectrometry (LC-HRMS). A wide variety of compounds are covered by separate analyses of medium to nonpolar molecules and polar metabolites based on two LC separations as well as both positive and negative electrospray ionization. The main steps of data treatment of the comprehensive data sets and statistical analysis are described, as well as the principal considerations for the BFI identification.
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Affiliation(s)
- Leticia Lacalle-Bergeron
- Enviromental and Public Health Analytical Chemistry, Research Institute for Pesticides and Water (IUPA), Universitat Jaume I, Castellón de la Plana, Spain
| | - David Izquierdo-Sandoval
- Enviromental and Public Health Analytical Chemistry, Research Institute for Pesticides and Water (IUPA), Universitat Jaume I, Castellón de la Plana, Spain
| | - Juan V Sancho
- Enviromental and Public Health Analytical Chemistry, Research Institute for Pesticides and Water (IUPA), Universitat Jaume I, Castellón de la Plana, Spain
| | - Tania Portolés
- Enviromental and Public Health Analytical Chemistry, Research Institute for Pesticides and Water (IUPA), Universitat Jaume I, Castellón de la Plana, Spain.
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22
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Lee BY, Ordovás JM, Parks EJ, Anderson CAM, Barabási AL, Clinton SK, de la Haye K, Duffy VB, Franks PW, Ginexi EM, Hammond KJ, Hanlon EC, Hittle M, Ho E, Horn AL, Isaacson RS, Mabry PL, Malone S, Martin CK, Mattei J, Meydani SN, Nelson LM, Neuhouser ML, Parent B, Pronk NP, Roche HM, Saria S, Scheer FAJL, Segal E, Sevick MA, Spector TD, Van Horn L, Varady KA, Voruganti VS, Martinez MF. Research gaps and opportunities in precision nutrition: an NIH workshop report. Am J Clin Nutr 2022; 116:1877-1900. [PMID: 36055772 PMCID: PMC9761773 DOI: 10.1093/ajcn/nqac237] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 04/06/2022] [Accepted: 08/30/2022] [Indexed: 02/01/2023] Open
Abstract
Precision nutrition is an emerging concept that aims to develop nutrition recommendations tailored to different people's circumstances and biological characteristics. Responses to dietary change and the resulting health outcomes from consuming different diets may vary significantly between people based on interactions between their genetic backgrounds, physiology, microbiome, underlying health status, behaviors, social influences, and environmental exposures. On 11-12 January 2021, the National Institutes of Health convened a workshop entitled "Precision Nutrition: Research Gaps and Opportunities" to bring together experts to discuss the issues involved in better understanding and addressing precision nutrition. The workshop proceeded in 3 parts: part I covered many aspects of genetics and physiology that mediate the links between nutrient intake and health conditions such as cardiovascular disease, Alzheimer disease, and cancer; part II reviewed potential contributors to interindividual variability in dietary exposures and responses such as baseline nutritional status, circadian rhythm/sleep, environmental exposures, sensory properties of food, stress, inflammation, and the social determinants of health; part III presented the need for systems approaches, with new methods and technologies that can facilitate the study and implementation of precision nutrition, and workforce development needed to create a new generation of researchers. The workshop concluded that much research will be needed before more precise nutrition recommendations can be achieved. This includes better understanding and accounting for variables such as age, sex, ethnicity, medical history, genetics, and social and environmental factors. The advent of new methods and technologies and the availability of considerably more data bring tremendous opportunity. However, the field must proceed with appropriate levels of caution and make sure the factors listed above are all considered, and systems approaches and methods are incorporated. It will be important to develop and train an expanded workforce with the goal of reducing health disparities and improving precision nutritional advice for all Americans.
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Affiliation(s)
- Bruce Y Lee
- Health Policy and Management, City University of New York Graduate School of Public Health and Health Policy, New York, NY, USA
| | - José M Ordovás
- USDA-Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Elizabeth J Parks
- Nutrition and Exercise Physiology, University of Missouri School of Medicine, MO, USA
| | | | - Albert-László Barabási
- Network Science Institute and Department of Physics, Northeastern University, Boston, MA, USA
| | | | - Kayla de la Haye
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Valerie B Duffy
- Allied Health Sciences, University of Connecticut, Storrs, CT, USA
| | - Paul W Franks
- Novo Nordisk Foundation, Hellerup, Denmark, Copenhagen, Denmark, and Lund University Diabetes Center, Sweden
- The Lund University Diabetes Center, Malmo, SwedenInsert Affiliation Text Here
| | - Elizabeth M Ginexi
- National Institutes of Health, Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | - Kristian J Hammond
- Computer Science, Northwestern University McCormick School of Engineering, IL, USA
| | - Erin C Hanlon
- Department of Medicine, The University of Chicago, Chicago, IL, USA
| | - Michael Hittle
- Epidemiology and Clinical Research, Stanford University, Stanford, CA, USA
| | - Emily Ho
- Public Health and Human Sciences, Linus Pauling Institute, Oregon State University, Corvallis, OR, USA
| | - Abigail L Horn
- Information Sciences Institute, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | | | | | - Susan Malone
- Rory Meyers College of Nursing, New York University, New York, NY, USA
| | - Corby K Martin
- Ingestive Behavior Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Josiemer Mattei
- Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Simin Nikbin Meydani
- USDA-Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Lorene M Nelson
- Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | | | - Brendan Parent
- Grossman School of Medicine, New York University, New York, NY, USA
| | | | - Helen M Roche
- UCD Conway Institute, School of Public Health, Physiotherapy, and Sports Science, University College Dublin, Dublin, Ireland
| | - Suchi Saria
- Johns Hopkins University, Baltimore, MD, USA
| | - Frank A J L Scheer
- Brigham and Women's Hospital, Boston, MA, USA
- Medicine and Neurology, Harvard Medical School, Boston, MA, USA
| | - Eran Segal
- Computer Science and Applied Math, Weizmann Institute of Science, Rehovot, Israel
| | - Mary Ann Sevick
- Grossman School of Medicine, New York University, New York, NY, USA
| | - Tim D Spector
- Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Linda Van Horn
- Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Krista A Varady
- Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, IL, USA
| | - Venkata Saroja Voruganti
- Nutrition and Nutrition Research Institute, Gillings School of Public Health, The University of North Carolina, Chapel Hill, NC, USA
| | - Marie F Martinez
- Health Policy and Management, City University of New York Graduate School of Public Health and Health Policy, New York, NY, USA
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23
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Gauglitz JM, West KA, Bittremieux W, Williams CL, Weldon KC, Panitchpakdi M, Di Ottavio F, Aceves CM, Brown E, Sikora NC, Jarmusch AK, Martino C, Tripathi A, Meehan MJ, Dorrestein K, Shaffer JP, Coras R, Vargas F, Goldasich LD, Schwartz T, Bryant M, Humphrey G, Johnson AJ, Spengler K, Belda-Ferre P, Diaz E, McDonald D, Zhu Q, Elijah EO, Wang M, Marotz C, Sprecher KE, Vargas-Robles D, Withrow D, Ackermann G, Herrera L, Bradford BJ, Marques LMM, Amaral JG, Silva RM, Veras FP, Cunha TM, Oliveira RDR, Louzada-Junior P, Mills RH, Piotrowski PK, Servetas SL, Da Silva SM, Jones CM, Lin NJ, Lippa KA, Jackson SA, Daouk RK, Galasko D, Dulai PS, Kalashnikova TI, Wittenberg C, Terkeltaub R, Doty MM, Kim JH, Rhee KE, Beauchamp-Walters J, Wright KP, Dominguez-Bello MG, Manary M, Oliveira MF, Boland BS, Lopes NP, Guma M, Swafford AD, Dutton RJ, Knight R, Dorrestein PC. Enhancing untargeted metabolomics using metadata-based source annotation. Nat Biotechnol 2022; 40:1774-1779. [PMID: 35798960 PMCID: PMC10277029 DOI: 10.1038/s41587-022-01368-1] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 05/20/2022] [Indexed: 01/30/2023]
Abstract
Human untargeted metabolomics studies annotate only ~10% of molecular features. We introduce reference-data-driven analysis to match metabolomics tandem mass spectrometry (MS/MS) data against metadata-annotated source data as a pseudo-MS/MS reference library. Applying this approach to food source data, we show that it increases MS/MS spectral usage 5.1-fold over conventional structural MS/MS library matches and allows empirical assessment of dietary patterns from untargeted data.
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Affiliation(s)
- Julia M Gauglitz
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Kiana A West
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Wout Bittremieux
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Candace L Williams
- Beckman Center for Conservation Research, San Diego Zoo Wildlife Alliance, Escondido, CA, USA
| | - Kelly C Weldon
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Morgan Panitchpakdi
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Francesca Di Ottavio
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
| | - Christine M Aceves
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Elizabeth Brown
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | - Nicole C Sikora
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Alan K Jarmusch
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Cameron Martino
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
| | - Anupriya Tripathi
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Michael J Meehan
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Kathleen Dorrestein
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Justin P Shaffer
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Roxana Coras
- Division of Rheumatology, Allergy & Immunology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Fernando Vargas
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | | | - Tara Schwartz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - MacKenzie Bryant
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Gregory Humphrey
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Abigail J Johnson
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Katharina Spengler
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
| | - Pedro Belda-Ferre
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Edgar Diaz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Daniel McDonald
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Qiyun Zhu
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Emmanuel O Elijah
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Mingxun Wang
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Clarisse Marotz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Kate E Sprecher
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
- Department of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - Daniela Vargas-Robles
- Servicio Autónomo Centro Amazónico de Investigación y Control de Enfermedades Tropicales Simón Bolívar, Puerto Ayacucho, Amazonas, Venezuela
| | - Dana Withrow
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Gail Ackermann
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Lourdes Herrera
- Department of Pediatrics, Billings Clinic, Billings, MT, USA
| | - Barry J Bradford
- Department of Animal Science, Michigan State University, East Lansing, MI, USA
| | - Lucas Maciel Mauriz Marques
- Department of Pharmacology, Ribeirão Preto Medicinal School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Juliano Geraldo Amaral
- Multidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista, Bahia, Brazil
| | - Rodrigo Moreira Silva
- NPPNS, Department of Biomolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Flavio Protasio Veras
- Department of Pharmacology, Ribeirão Preto Medicinal School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Thiago Mattar Cunha
- Department of Pharmacology, Ribeirão Preto Medicinal School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Rene Donizeti Ribeiro Oliveira
- Department of Internal Medicine, Ribeirão Preto Medical School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Paulo Louzada-Junior
- Department of Internal Medicine, Ribeirão Preto Medical School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Robert H Mills
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Pharmacology, University of California San Diego, La Jolla, CA, USA
| | - Paulina K Piotrowski
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Stephanie L Servetas
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Sandra M Da Silva
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Christina M Jones
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Nancy J Lin
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Katrice A Lippa
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Scott A Jackson
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Rima Kaddurah Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, Durham, NC, USA
- Department of Medicine, Duke University, Durham, NC, USA
- Duke Institute of Brain Sciences, Duke University, Durham, NC, USA
| | - Douglas Galasko
- Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Parambir S Dulai
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | | | - Curt Wittenberg
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - Robert Terkeltaub
- Division of Rheumatology, Allergy & Immunology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
- San Diego VA Healthcare System, San Diego, CA, USA
| | - Megan M Doty
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Division of Neonatology, Department of Pediatrics, Kapi'olani Medical Center for Women and Children, John A. Burns School of Medicine, Honolulu, Hawaii, USA
| | - Jae H Kim
- Division of Neonatology, Perinatal Institute, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Kyung E Rhee
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Julia Beauchamp-Walters
- Division of Pediatric Hospital Medicine, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Kenneth P Wright
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Maria Gloria Dominguez-Bello
- Department of Biochemistry and Microbiology, School of Environmental and Biological Sciences; Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
| | - Mark Manary
- Department of Pediatrics, Washington University, St. Louis, MO, USA
| | - Michelli F Oliveira
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Brigid S Boland
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Norberto Peporine Lopes
- NPPNS, Department of Biomolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Monica Guma
- Division of Rheumatology, Allergy & Immunology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Austin D Swafford
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Rachel J Dutton
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | - Rob Knight
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA.
- Department of Medicine, University of California San Diego, La Jolla, CA, USA.
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
| | - Pieter C Dorrestein
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA.
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA.
- Department of Pharmacology, University of California San Diego, La Jolla, CA, USA.
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24
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Castellano-Escuder P, González-Domínguez R, Vaillant MF, Casas-Agustench P, Hidalgo-Liberona N, Estanyol-Torres N, Wilson T, Beckmann M, Lloyd AJ, Oberli M, Moinard C, Pison C, Borel JC, Joyeux-Faure M, Sicard M, Artemova S, Terrisse H, Dancer P, Draper J, Sánchez-Pla A, Andres-Lacueva C. Assessing Adherence to Healthy Dietary Habits Through the Urinary Food Metabolome: Results From a European Two-Center Study. Front Nutr 2022; 9:880770. [PMID: 35757242 PMCID: PMC9219016 DOI: 10.3389/fnut.2022.880770] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 05/16/2022] [Indexed: 11/13/2022] Open
Abstract
Background Diet is one of the most important modifiable lifestyle factors in human health and in chronic disease prevention. Thus, accurate dietary assessment is essential for reliably evaluating adherence to healthy habits. Objectives The aim of this study was to identify urinary metabolites that could serve as robust biomarkers of diet quality, as assessed through the Alternative Healthy Eating Index (AHEI-2010). Design We set up two-center samples of 160 healthy volunteers, aged between 25 and 50, living as a couple or family, with repeated urine sampling and dietary assessment at baseline, and 6 and 12 months over a year. Urine samples were subjected to large-scale metabolomics analysis for comprehensive quantitative characterization of the food-related metabolome. Then, lasso regularized regression analysis and limma univariate analysis were applied to identify those metabolites associated with the AHEI-2010, and to investigate the reproducibility of these associations over time. Results Several polyphenol microbial metabolites were found to be positively associated with the AHEI-2010 score; urinary enterolactone glucuronide showed a reproducible association at the three study time points [false discovery rate (FDR): 0.016, 0.014, 0.016]. Furthermore, other associations were found between the AHEI-2010 and various metabolites related to the intake of coffee, red meat and fish, whereas other polyphenol phase II metabolites were associated with higher AHEI-2010 scores at one of the three time points investigated (FDR < 0.05 or β ≠ 0). Conclusion We have demonstrated that urinary metabolites, and particularly microbiota-derived metabolites, could serve as reliable indicators of adherence to healthy dietary habits. Clinical Trail Registration www.ClinicalTrials.gov, Identifier: NCT03169088.
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Affiliation(s)
- Pol Castellano-Escuder
- Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XIA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERfes), Instituto de Salud Carlos III, Madrid, Spain.,Statistics and Bioinformatics Research Group, Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain
| | - Raúl González-Domínguez
- Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XIA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERfes), Instituto de Salud Carlos III, Madrid, Spain
| | - Marie-France Vaillant
- Laboratory of Fundamental and Applied Bioenergetics, Inserm1055, Grenoble, France.,Service Hospitalier Universitaire Pneumologie Physiologie, CHU Grenoble Alpes, Grenoble, France
| | - Patricia Casas-Agustench
- Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XIA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERfes), Instituto de Salud Carlos III, Madrid, Spain
| | - Nicole Hidalgo-Liberona
- Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XIA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERfes), Instituto de Salud Carlos III, Madrid, Spain
| | - Núria Estanyol-Torres
- Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XIA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERfes), Instituto de Salud Carlos III, Madrid, Spain
| | - Thomas Wilson
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Manfred Beckmann
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Amanda J Lloyd
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | | | - Christophe Moinard
- Laboratory of Fundamental and Applied Bioenergetics, Inserm1055, Grenoble, France
| | - Christophe Pison
- Laboratory of Fundamental and Applied Bioenergetics, Inserm1055, Grenoble, France.,Service Hospitalier Universitaire Pneumologie Physiologie, CHU Grenoble Alpes, Grenoble, France.,Université Grenoble Alpes, Grenoble, France
| | - Jean-Christian Borel
- Laboratory of Fundamental and Applied Bioenergetics, Inserm1055, Grenoble, France
| | | | | | | | - Hugo Terrisse
- Laboratory of Fundamental and Applied Bioenergetics, Inserm1055, Grenoble, France.,TIMC-MESP Laboratory, University of Grenoble Alpes, Grenoble, France
| | | | - John Draper
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Alex Sánchez-Pla
- CIBER Fragilidad y Envejecimiento Saludable (CIBERfes), Instituto de Salud Carlos III, Madrid, Spain.,Statistics and Bioinformatics Research Group, Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain
| | - Cristina Andres-Lacueva
- Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XIA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERfes), Instituto de Salud Carlos III, Madrid, Spain
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25
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Sources of Variation in Food-Related Metabolites during Pregnancy. Nutrients 2022; 14:nu14122503. [PMID: 35745237 PMCID: PMC9227758 DOI: 10.3390/nu14122503] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 06/10/2022] [Accepted: 06/14/2022] [Indexed: 12/04/2022] Open
Abstract
The extent to which variation in food-related metabolites are attributable to non-dietary factors remains unclear, which may explain inconsistent food-metabolite associations observed in population studies. This study examined the association between non-dietary factors and the serum concentrations of food-related biomarkers and quantified the amount of variability in metabolite concentrations explained by non-dietary factors. Pregnant women (n = 600) from two Canadian birth cohorts completed a validated semi-quantitative food frequency questionnaire, and serum metabolites were measured by multisegment injection-capillary electrophoresis-mass spectrometry. Hierarchical linear modelling and principal component partial R-square (PC-PR2) were used for data analysis. For proline betaine and DHA (mainly exogenous), citrus foods and fish/fish oil intake, respectively, explained the highest proportion of variability relative to non-dietary factors. The unique contribution of dietary factors was similar (15:0, 17:0, hippuric acid, TMAO) or lower (14:0, tryptophan betaine, 3-methylhistidine, carnitine) compared to non-dietary factors (i.e., ethnicity, maternal age, gestational age, pre-pregnancy BMI, physical activity, and smoking) for metabolites that can either be produced endogenously, biotransformed by gut microbiota, and/or derived from multiple food sources. The results emphasize the importance of adjusting for non-dietary factors in future analyses to improve the accuracy and precision of the measures of food intake and their associations with health and disease.
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26
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Sleight AG, Crowder SL, Skarbinski J, Coen P, Parker NH, Hoogland AI, Gonzalez BD, Playdon MC, Cole S, Ose J, Murayama Y, Siegel EM, Figueiredo JC, Jim HSL. A New Approach to Understanding Cancer-Related Fatigue: Leveraging the 3P Model to Facilitate Risk Prediction and Clinical Care. Cancers (Basel) 2022; 14:cancers14081982. [PMID: 35454890 PMCID: PMC9027717 DOI: 10.3390/cancers14081982] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/12/2022] [Accepted: 04/12/2022] [Indexed: 01/02/2023] Open
Abstract
Simple Summary For the growing number of cancer survivors worldwide, fatigue presents a major hurdle to function and quality of life. Treatment options for cancer-related fatigue are still emerging, and our current understanding of its etiology is limited. In this paper, we describe a new application of a comprehensive model for cancer-related fatigue: the predisposing, precipitating, and perpetuating (3P) factors model. We propose that the 3P model may be leveraged—particularly using metabolomics, the microbiome, and inflammation in conjunction with behavioral science—to better understand the pathophysiology of cancer-related fatigue. Abstract A major gap impeding development of new treatments for cancer-related fatigue is an inadequate understanding of the complex biological, clinical, demographic, and lifestyle mechanisms underlying fatigue. In this paper, we describe a new application of a comprehensive model for cancer-related fatigue: the predisposing, precipitating, and perpetuating (3P) factors model. This model framework outlined herein, which incorporates the emerging field of metabolomics, may help to frame a more in-depth analysis of the etiology of cancer-related fatigue as well as a broader and more personalized set of approaches to the clinical treatment of fatigue in oncology care. Included within this review paper is an in-depth description of the proposed biological mechanisms of cancer-related fatigue, as well as a presentation of the 3P model’s application to this phenomenon. We conclude that a clinical focus on organization risk stratification and treatment around the 3P model may be warranted, and future research may benefit from expanding the 3P model to understand fatigue not only in oncology, but also across a variety of chronic conditions.
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Affiliation(s)
- Alix G. Sleight
- Department of Physical Medicine & Rehabilitation, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA;
- Center for Integrated Research in Cancer and Lifestyle, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Sylvia L. Crowder
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33601, USA; (S.L.C.); (N.H.P.); (A.I.H.); (B.D.G.)
| | - Jacek Skarbinski
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94501, USA;
- Department of Infectious Diseases, Oakland Medical Center, Kaiser Permanente Northern California, Oakland, CA 94501, USA
- Physician Researcher Program, Kaiser Permanente Northern California, Oakland, CA 94501, USA
- The Permanente Medical Group, Kaiser Permanente Northern California, Oakland, CA 94501, USA
| | - Paul Coen
- AdventHealth Orlando, Translational Research Institute, Orlando, FL 32804, USA;
| | - Nathan H. Parker
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33601, USA; (S.L.C.); (N.H.P.); (A.I.H.); (B.D.G.)
| | - Aasha I. Hoogland
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33601, USA; (S.L.C.); (N.H.P.); (A.I.H.); (B.D.G.)
| | - Brian D. Gonzalez
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33601, USA; (S.L.C.); (N.H.P.); (A.I.H.); (B.D.G.)
| | - Mary C. Playdon
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT 84044, USA;
- Department of Cancer Control and Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84044, USA
| | - Steven Cole
- Department of Psychiatry & Biobehavioral Sciences and Medicine, University of California, Los Angeles, CA 90001, USA;
| | - Jennifer Ose
- Department of Population Sciences, University of Utah, Salt Lake City, UT 84044, USA;
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84044, USA
| | - Yuichi Murayama
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; (Y.M.); (J.C.F.)
| | - Erin M. Siegel
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL 33601, USA;
| | - Jane C. Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; (Y.M.); (J.C.F.)
| | - Heather S. L. Jim
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33601, USA; (S.L.C.); (N.H.P.); (A.I.H.); (B.D.G.)
- Correspondence:
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27
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Crowder SL, Playdon MC, Gudenkauf LM, Ose J, Gigic B, Greathouse L, Peoples AR, Sleight AG, Jim HSL, Figueiredo JC. A Molecular Approach to Understanding the Role of Diet in Cancer-Related Fatigue: Challenges and Future Opportunities. Nutrients 2022; 14:nu14071496. [PMID: 35406105 PMCID: PMC9003400 DOI: 10.3390/nu14071496] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 03/27/2022] [Accepted: 03/31/2022] [Indexed: 02/04/2023] Open
Abstract
Cancer-related fatigue (CRF) is considered one of the most frequent and distressing symptoms for cancer survivors. Despite its high prevalence, factors that predispose, precipitate, and perpetuate CRF are poorly understood. Emerging research focuses on cancer and treatment-related nutritional complications, changes in body composition, and nutritional deficiencies that can compound CRF. Nutritional metabolomics, the novel study of diet-related metabolites in cells, tissues, and biofluids, offers a promising tool to further address these research gaps. In this position paper, we examine CRF risk factors, summarize metabolomics studies of CRF, outline dietary recommendations for the prevention and management of CRF in cancer survivorship, and identify knowledge gaps and challenges in applying nutritional metabolomics to understand dietary contributions to CRF over the cancer survivorship trajectory.
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Affiliation(s)
- Sylvia L. Crowder
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33617, USA; (S.L.C.); (L.M.G.); (H.S.L.J.)
| | - Mary C. Playdon
- Cancer Control and Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA;
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT 84112, USA
| | - Lisa M. Gudenkauf
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33617, USA; (S.L.C.); (L.M.G.); (H.S.L.J.)
| | - Jennifer Ose
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT 84112, USA; (J.O.); (A.R.P.)
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
| | - Biljana Gigic
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, 69047 Heidelberg, Germany;
| | - Leigh Greathouse
- Human Science and Design, Robbins College of Health and Human Sciences, Baylor University, Waco, TX 76798, USA;
| | - Anita R. Peoples
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT 84112, USA; (J.O.); (A.R.P.)
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
| | - Alix G. Sleight
- Department of Physical Medicine and Rehabilitation, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA;
- Center for Integrated Research in Cancer and Lifestyle, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Heather S. L. Jim
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33617, USA; (S.L.C.); (L.M.G.); (H.S.L.J.)
| | - Jane C. Figueiredo
- Center for Integrated Research in Cancer and Lifestyle, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Correspondence:
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28
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Metabolomics and the Multi-Omics View of Cancer. Metabolites 2022; 12:metabo12020154. [PMID: 35208228 PMCID: PMC8880085 DOI: 10.3390/metabo12020154] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 01/29/2022] [Accepted: 01/31/2022] [Indexed: 11/17/2022] Open
Abstract
Cancer is widely regarded to be a genetic disease. Indeed, over the past five decades, the genomic perspective on cancer has come to almost completely dominate the field. However, this genome-only view is incomplete and tends to portray cancer as a disease that is highly heritable, driven by hundreds of complex genetic interactions and, consequently, difficult to prevent or treat. New evidence suggests that cancer is not as heritable or purely genetic as once thought and that it really is a multi-omics disease. As highlighted in this review, the genome, the exposome, and the metabolome all play roles in cancer’s development and manifestation. The data presented here show that >90% of cancers are initiated by environmental exposures (the exposome) which lead to cancer-inducing genetic changes. The resulting genetic changes are, then, propagated through the altered DNA of the proliferating cancer cells (the genome). Finally, the dividing cancer cells are nourished and sustained by genetically reprogrammed, cancer-specific metabolism (the metabolome). As shown in this review, all three “omes” play roles in initiating cancer. Likewise, all three “omes” interact closely, often providing feedback to each other to sustain or enhance tumor development. Thanks to metabolomics, these multi-omics feedback loops are now much more evident and their roles in explaining the hallmarks of cancer are much better understood. Importantly, this more holistic, multi-omics view portrays cancer as a disease that is much more preventable, easier to understand, and potentially, far more treatable.
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O'Brien DM, Sagi-Kiss V, Palma-Duran SA, Cunningham C, Barrett B, Johnston CS, Midthune D, Kipnis V, Freedman LS, Tasevska N. 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. Am J Clin Nutr 2022; 115:1134-1143. [PMID: 35030258 PMCID: PMC8970990 DOI: 10.1093/ajcn/nqac004] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 01/10/2022] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND The serum natural abundance carbon isotope ratio (CIR) was recently identified as a candidate biomarker of animal protein intake in postmenopausal women. Such a biomarker would help clarify the relation between dietary protein source (plant or animal) and chronic disease risk. OBJECTIVES We aimed to evaluate the performance of the serum CIR as a biomarker of dietary protein source in a controlled feeding study of men and women of diverse age and BMI. METHODS We conducted a 15-d feeding study of 100 adults (age: 18-70 y, 55% women) in Phoenix, AZ. Participants were provided individualized diets that approximated habitual food intakes. Serum was collected at the end of the feeding period for biomarker measurements. RESULTS Median [IQR] animal protein intake was 67 g/d [55-88 g/d], which was 64% of total protein. The serum CIR was positively correlated with animal protein and inversely correlated with plant protein intake, leading to a strong correlation (r2 = 0.76) with the dietary animal protein ratio (APR; animal/total protein). Regressing serum CIR on the APR, serum nitrogen isotope ratio (NIR), gender, age, and body weight generated an R2 of 0.78. Following the measurement error model for predictive biomarkers, the resulting regression equation was then inverted to develop a calibrated biomarker equation for APR. Added sugars ratio (added/total sugars intake) and corn intakes also influenced the serum CIR but to a much lesser degree than the APR; variations in these intakes had only small effects on biomarker-estimated APR. CONCLUSIONS Based on our findings in this US cohort of mixed sex and age, we propose the serum CIR alongside NIR as a predictive dietary biomarker of the APR. We anticipate using this biomarker to generate calibrated estimates based on self-reported intake and ultimately to obtain more precise disease risk estimates according to dietary protein source.
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Affiliation(s)
| | - Virag Sagi-Kiss
- Present address for VS-K: School of Medicine, Imperial College London, London, United Kingdom
| | | | | | - Brian Barrett
- Information Management Services, Inc., Rockville, MD, USA
| | - Carol S Johnston
- College of Health Solutions, Arizona State University, Phoenix, AZ, USA
| | - Douglas Midthune
- Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA
| | - Victor Kipnis
- Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA
| | - Laurence S Freedman
- Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel
| | - Natasha Tasevska
- College of Health Solutions, Arizona State University, Phoenix, AZ, USA
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Dietary Management of Heart Failure: DASH Diet and Precision Nutrition Perspectives. Nutrients 2021; 13:nu13124424. [PMID: 34959976 PMCID: PMC8708696 DOI: 10.3390/nu13124424] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 12/06/2021] [Accepted: 12/06/2021] [Indexed: 12/14/2022] Open
Abstract
Heart failure (HF) is a major health care burden increasing in prevalence over time. Effective, evidence-based interventions for HF prevention and management are needed to improve patient longevity, symptom control, and quality of life. Dietary Approaches to Stop Hypertension (DASH) diet interventions can have a positive impact for HF patients. However, the absence of a consensus for comprehensive dietary guidelines and for pragmatic evidence limits the ability of health care providers to implement clinical recommendations. The refinement of medical nutrition therapy through precision nutrition approaches has the potential to reduce the burden of HF, improve clinical care, and meet the needs of diverse patients. The aim of this review is to summarize current evidence related to HF dietary recommendations including DASH diet nutritional interventions and to develop initial recommendations for DASH diet implementation in outpatient HF management. Articles involving human studies were obtained using the following search terms: Dietary Approaches to Stop Hypertension (DASH diet), diet pattern, diet, metabolism, and heart failure. Only full-text articles written in English were included in this review. As DASH nutritional interventions have been proposed, limitations of these studies are the small sample size and non-randomization of interventions, leading to less reliable evidence. Randomized controlled interventions are needed to offer definitive evidence related to the use of the DASH diet in HF management.
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Food Composition and Dedicated Databases: Key Tools for Human Health and Public Nutrition. Nutrients 2021; 13:nu13114003. [PMID: 34836257 PMCID: PMC8620064 DOI: 10.3390/nu13114003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 11/03/2021] [Indexed: 01/18/2023] Open
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A Scoping Review of the Application of Metabolomics in Nutrition Research: The Literature Survey 2000-2019. Nutrients 2021; 13:nu13113760. [PMID: 34836016 PMCID: PMC8623534 DOI: 10.3390/nu13113760] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 10/19/2021] [Accepted: 10/19/2021] [Indexed: 12/29/2022] Open
Abstract
Nutrimetabolomics is an emerging field in nutrition research, and it is expected to play a significant role in deciphering the interaction between diet and health. Through the development of omics technology over the last two decades, the definition of food and nutrition has changed from sources of energy and major/micro-nutrients to an essential exposure factor that determines health risks. Furthermore, this new approach has enabled nutrition research to identify dietary biomarkers and to deepen the understanding of metabolic dynamics and the impacts on health risks. However, so far, candidate markers identified by metabolomics have not been clinically applied and more efforts should be made to validate those. To help nutrition researchers better understand the potential of its application, this scoping review outlined the historical transition, recent focuses, and future prospects of the new realm, based on trends in the number of human research articles from the early stage of 2000 to the present of 2019 by searching the Medical Literature Analysis and Retrieval System Online (MEDLINE). Among them, objective dietary assessment, metabolic profiling, and health risk prediction were positioned as three of the principal applications. The continued growth will enable nutrimetabolomics research to contribute to personalized nutrition in the future.
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Skiba D, Sawicka B, Pszczółkowski P, Barbaś P, Krochmal-Marczak B. The Impact of Cultivation Management and Weed Control Systems of Very Early Potato on Weed Infestation, Biodiversity, and Health Safety of Tubers. Life (Basel) 2021; 11:life11080826. [PMID: 34440570 PMCID: PMC8401345 DOI: 10.3390/life11080826] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 08/04/2021] [Accepted: 08/10/2021] [Indexed: 11/16/2022] Open
Abstract
The aim of the research was to determine the impact of potato cultivation management and weeding systems on weed infestation and to evaluate the possibility of using biomarkers to assess consumer exposure to herbicide residues in potato tubers. The experiment was carried out in 2016–2018 in Central-Eastern Poland. The subject of research was the very early variety Lord. The experiment was established using the randomized block method in a split-plot design. The first order factor was cultivation management: (A) traditional and (B) under polyethylene sheeting (PE-sheeting) put “on flat”. The second-order factors were weed control systems: (a) mechanical (b) to (d)-chemical. The study determined the degree of damage to crops and weeds, fresh and dry weight of weeds, their number and floristic composition, and herbicide residues in tubers and in the soil. The fresh and dry mass of weeds was most effectively limited by mechanical and chemical treatment with the use of a preparation containing linuron. Managing potato cultivation with PE-sheeting and soil herbicides has proven to be safe for very early potato production. Used for pre-emergence care, the preparation containing linuron did not leave even trace amounts of this active substance in the tubers. The determined amount of the active substance fluorochloridon and clomazone was lower than the Maximum Residue Level (MRL) norm in the EU (European Union). As a result, the adopted, innovative management and weeding control systems in the cultivation of early potato varieties can be considered safe for the consumer.
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Affiliation(s)
- Dominika Skiba
- Department of Plant Production Technology and Commodities Science, Faculty of Agrobioengineering, University of Life Sciences in Lublin, 20-950 Lublin, Poland;
| | - Barbara Sawicka
- Department of Plant Production Technology and Commodities Science, Faculty of Agrobioengineering, University of Life Sciences in Lublin, 20-950 Lublin, Poland;
- Correspondence: ; Tel.: +48-81445-67-87
| | - Piotr Pszczółkowski
- Experimental Station for Cultivar Assessment of Central Crop Research Centre, 21-211 Dębowa Kłoda, Poland;
| | - Piotr Barbaś
- Jadwisin Research Center, Department of Potato Agronomy, Plant Breeding and Acclimatization Institute—National Research Institute, 05-140 Serock, Poland;
| | - Barbara Krochmal-Marczak
- Department of Food Production and Safety, Carpathian State University in Krosno, 38-400 Krosno, Poland;
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Ni Lochlainn M, Cox NJ, Wilson T, Hayhoe RPG, Ramsay SE, Granic A, Isanejad M, Roberts HC, Wilson D, Welch C, Hurst C, Atkins JL, Mendonça N, Horner K, Tuttiett ER, Morgan Y, Heslop P, Williams EA, Steves CJ, Greig C, Draper J, Corish CA, Welch A, Witham MD, Sayer AA, Robinson S. Nutrition and Frailty: Opportunities for Prevention and Treatment. Nutrients 2021; 13:2349. [PMID: 34371858 PMCID: PMC8308545 DOI: 10.3390/nu13072349] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 06/28/2021] [Accepted: 07/07/2021] [Indexed: 02/07/2023] Open
Abstract
Frailty is a syndrome of growing importance given the global ageing population. While frailty is a multifactorial process, poor nutritional status is considered a key contributor to its pathophysiology. As nutrition is a modifiable risk factor for frailty, strategies to prevent and treat frailty should consider dietary change. Observational evidence linking nutrition with frailty appears most robust for dietary quality: for example, dietary patterns such as the Mediterranean diet appear to be protective. In addition, research on specific foods, such as a higher consumption of fruit and vegetables and lower consumption of ultra-processed foods are consistent, with healthier profiles linked to lower frailty risk. Few dietary intervention studies have been conducted to date, although a growing number of trials that combine supplementation with exercise training suggest a multi-domain approach may be more effective. This review is based on an interdisciplinary workshop, held in November 2020, and synthesises current understanding of dietary influences on frailty, focusing on opportunities for prevention and treatment. Longer term prospective studies and well-designed trials are needed to determine the causal effects of nutrition on frailty risk and progression and how dietary change can be used to prevent and/or treat frailty in the future.
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Affiliation(s)
- Mary Ni Lochlainn
- Department of Twin Research and Genetics, King’s College London, St Thomas’ Hospital, Westminster Bridge Road, London SE1 7EH, UK;
| | - Natalie J. Cox
- Academic Geriatric Medicine, Faculty of Medicine, University of Southampton, Tremona Road, Southampton SO17 1BJ, UK; (N.J.C.); (H.C.R.)
- National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
| | - Thomas Wilson
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth SY23 3DA, UK; (T.W.); (J.D.)
| | - Richard P. G. Hayhoe
- Department of Epidemiology & Public Health, Norwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK; (R.P.G.H.); (A.W.)
- School of Allied Health, Faculty of Health, Education, Medicine and Social Care, Anglia Ruskin University, Chelmsford CM1 1SQ, UK
| | - Sheena E. Ramsay
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE2 4AX, UK; (S.E.R.); (N.M.)
| | - Antoneta Granic
- AGE Research Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne NE4 5PL, UK; (A.G.); (C.H.); (P.H.); (M.D.W.); (A.A.S.)
- NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust and Newcastle University, Newcastle upon Tyne NE4 5PL, UK
| | - Masoud Isanejad
- Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L7 8TX, UK;
| | - Helen C. Roberts
- Academic Geriatric Medicine, Faculty of Medicine, University of Southampton, Tremona Road, Southampton SO17 1BJ, UK; (N.J.C.); (H.C.R.)
- National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
| | - Daisy Wilson
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK; (D.W.); (C.W.)
| | - Carly Welch
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK; (D.W.); (C.W.)
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Birmingham and University of Nottingham, Birmingham B15 2TT, UK;
| | - Christopher Hurst
- AGE Research Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne NE4 5PL, UK; (A.G.); (C.H.); (P.H.); (M.D.W.); (A.A.S.)
- NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust and Newcastle University, Newcastle upon Tyne NE4 5PL, UK
| | - Janice L. Atkins
- Epidemiology & Public Health Group, University of Exeter Medical School, Exeter EX1 2LU, UK;
| | - Nuno Mendonça
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE2 4AX, UK; (S.E.R.); (N.M.)
- EpiDoC Unit, CEDOC, NOVA Medical School, Universidade Nova de Lisboa, 1150-082 Lisbon, Portugal
- Comprehensive Health Research Centre (CHRC), NOVA Medical School, Universidade Nova de Lisboa, 1169-056 Lisbon, Portugal
| | - Katy Horner
- School of Public Health, Physiotherapy and Sport Science and UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland; (K.H.); (C.A.C.)
| | - Esme R. Tuttiett
- The Medical Research Council Versus Arthritis Centre for Integrated Research into Musculoskeletal Ageing and The Department of Oncology and Metabolism, The University of Sheffield, Sheffield S10 2RX, UK; (E.R.T.); (E.A.W.)
| | - Yvie Morgan
- EDESIA PhD Programme, University of East Anglia Norwich Research Park, Norwich NR4 7TJ, UK;
| | - Phil Heslop
- AGE Research Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne NE4 5PL, UK; (A.G.); (C.H.); (P.H.); (M.D.W.); (A.A.S.)
| | - Elizabeth A. Williams
- The Medical Research Council Versus Arthritis Centre for Integrated Research into Musculoskeletal Ageing and The Department of Oncology and Metabolism, The University of Sheffield, Sheffield S10 2RX, UK; (E.R.T.); (E.A.W.)
| | - Claire J. Steves
- Department of Twin Research and Genetics, King’s College London, St Thomas’ Hospital, Westminster Bridge Road, London SE1 7EH, UK;
| | - Carolyn Greig
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Birmingham and University of Nottingham, Birmingham B15 2TT, UK;
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham and NIHR Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham B15 2TT, UK
| | - John Draper
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth SY23 3DA, UK; (T.W.); (J.D.)
| | - Clare A. Corish
- School of Public Health, Physiotherapy and Sport Science and UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland; (K.H.); (C.A.C.)
| | - Ailsa Welch
- Department of Epidemiology & Public Health, Norwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK; (R.P.G.H.); (A.W.)
| | - Miles D. Witham
- AGE Research Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne NE4 5PL, UK; (A.G.); (C.H.); (P.H.); (M.D.W.); (A.A.S.)
- NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust and Newcastle University, Newcastle upon Tyne NE4 5PL, UK
| | - Avan A. Sayer
- AGE Research Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne NE4 5PL, UK; (A.G.); (C.H.); (P.H.); (M.D.W.); (A.A.S.)
- NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust and Newcastle University, Newcastle upon Tyne NE4 5PL, UK
| | - Sian Robinson
- AGE Research Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne NE4 5PL, UK; (A.G.); (C.H.); (P.H.); (M.D.W.); (A.A.S.)
- NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust and Newcastle University, Newcastle upon Tyne NE4 5PL, UK
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Sempionatto JR, Montiel VRV, Vargas E, Teymourian H, Wang J. Wearable and Mobile Sensors for Personalized Nutrition. ACS Sens 2021; 6:1745-1760. [PMID: 34008960 DOI: 10.1021/acssensors.1c00553] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
While wearable and mobile chemical sensors have experienced tremendous growth over the past decade, their potential for tracking and guiding nutrition has emerged only over the past three years. Currently, guidelines from doctors and dietitians represent the most common approach for maintaining optimal nutrition status. However, such recommendations rely on population averages and do not take into account individual variability in responding to nutrients. Precision nutrition has recently emerged to address the large heterogeneity in individuals' responses to diet, by tailoring nutrition based on the specific requirements of each person. It aims at preventing and managing diseases by formulating personalized dietary interventions to individuals on the basis of their metabolic profile, background, and environmental exposure. Recent advances in digital nutrition technology, including calories-counting mobile apps and wearable motion tracking devices, lack the ability of monitoring nutrition at the molecular level. The realization of effective precision nutrition requires synergy from different sensor modalities in order to make timely reliable predictions and efficient feedback. This work reviews key opportunities and challenges toward the successful realization of effective wearable and mobile nutrition monitoring platforms. Non-invasive wearable and mobile electrochemical sensors, capable of monitoring temporal chemical variations upon the intake of food and supplements, are excellent candidates to bridge the gap between digital and biochemical analyses for a successful personalized nutrition approach. By providing timely (previously unavailable) dietary information, such wearable and mobile sensors offer the guidance necessary for supporting dietary behavior change toward a managed nutritional balance. Coupling of the rapidly emerging wearable chemical sensing devices-generating enormous dynamic analytical data-with efficient data-fusion and data-mining methods that identify patterns and make predictions is expected to revolutionize dietary decision-making toward effective precision nutrition.
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Affiliation(s)
- Juliane R. Sempionatto
- Department of Nanoengineering, University of California San Diego, La Jolla, California 92093, United States
| | | | - Eva Vargas
- Department of Nanoengineering, University of California San Diego, La Jolla, California 92093, United States
| | - Hazhir Teymourian
- Department of Nanoengineering, University of California San Diego, La Jolla, California 92093, United States
| | - Joseph Wang
- Department of Nanoengineering, University of California San Diego, La Jolla, California 92093, United States
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Mekuria SA, Kinyuru JN, Mokua BK, Tenagashaw MW. Nutritional Quality and Safety of Complementary Foods Developed from Blends of Staple Grains and Honey Bee Larvae ( Apis mellifera). INTERNATIONAL JOURNAL OF FOOD SCIENCE 2021; 2021:5581585. [PMID: 34046495 PMCID: PMC8128621 DOI: 10.1155/2021/5581585] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 04/02/2021] [Accepted: 04/20/2021] [Indexed: 11/17/2022]
Abstract
Complementary foods must be adequate to satisfy the nutritional needs of the growing child together with breastfeeding. This study was aimed at evaluating the nutritional composition, microbial safety, and sensory quality of extruded complementary foods developed from blends of staple grains and insect bee larva (Apis mellifera). Teff, maize, soybean, and bee larva samples were milled to flour and blended before extrusion as follows: ComF01 (57% maize, 29% teff, and 14% soybean) and ComF02 (58% maize, 29% teff, and 13% bee larvae) using NutriSurvey software (version, 2007). Nutrient composition, microbial, and sensory analyses of developed flour blends were conducted using standard methods. The proximate composition of moisture, fat, fiber, carbohydrate, and energy was significantly different between the developed and commercial wean-mix foods. ComF02 recorded the highest fat content (14.3 g/100 g), energy (427.18 kcal/100 g), and vitamins A (706 μg/100 g), B3 (8.2 mg/100 g), and B9 (86.7 mg/100 g) while ComF01 had the highest protein content (12.56 g/100 g). Iron (40.94 mg/100 g) and calcium (68.20 mg/100 g) were the minerals with the highest content in ComF02. Both ComF01 and ComF02 met the recommended dietary allowance of nutrients for infants aged 6-12 months. Overall, the present study showed that bee larvae can be used to develop complementary foods that are nutritionally adequate, microbiologically safe, and sensory acceptable meeting the dietary allowance of infants at an acceptable level compared to conventional cereal-based foods.
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Affiliation(s)
- Shewangzaw Addisu Mekuria
- Department of Food Science and Nutrition, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00200, Nairobi, Kenya
- University of Gondar, P.O. Box 196, Gondar, Ethiopia
| | - John N. Kinyuru
- Department of Food Science and Nutrition, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00200, Nairobi, Kenya
| | - Beatrice Kiage Mokua
- Department of Food Science and Nutrition, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00200, Nairobi, Kenya
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Identification and Reproducibility of Urinary Metabolomic Biomarkers of Habitual Food Intake in a Cross-Sectional Analysis of the Cancer Prevention Study-3 Diet Assessment Sub-Study. Metabolites 2021; 11:metabo11040248. [PMID: 33920694 PMCID: PMC8072637 DOI: 10.3390/metabo11040248] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 04/06/2021] [Accepted: 04/14/2021] [Indexed: 11/16/2022] Open
Abstract
Previous cross-sectional metabolomics studies have identified many potential dietary biomarkers, mostly in blood. Few studies examined urine samples although urine is preferred for dietary biomarker discovery. Furthermore, little is known regarding the reproducibility of urinary metabolomic biomarkers over time. We aimed to identify urinary metabolomic biomarkers of diet and assess their reproducibility over time. We conducted a metabolomics analysis among 648 racially/ethnically diverse men and women in the Diet Assessment Sub-study of the Cancer Prevention Study-3 cohort to examine the correlation between >100 food groups/items [101 by a food frequency questionnaire (FFQ), and 105 by repeated 24 h diet recalls (24HRs)] and 1391 metabolites measured in 24 h urine sample replicates, six months apart. Diet-metabolite associations were examined by Pearson's partial correlation analysis. Biomarkers were evaluated for prediction accuracy assessed using area under the curve (AUC) calculated from the receiver operating characteristic curve and for reproducibility assessed using intraclass correlation coefficients (ICCs). A total of 1708 diet-metabolite associations were identified after Bonferroni correction for multiple comparisons and restricting correlation coefficients to >0.2 or <-0.2 (1570 associations using the FFQ and 933 using 24HRs), 513 unique metabolites correlated with 79 food groups/items. The median ICCs of the 513 putative biomarkers was 0.53 (interquartile range 0.42-0.62). In this study, with comprehensive dietary data and repeated 24 h urinary metabolic profiles, we identified a large number of diet-metabolite correlations and replicated many found in previous studies. Our findings revealed the promise of urine samples for dietary biomarker discovery in a large cohort study and provide important information on biomarker reproducibility, which could facilitate their utilization in future clinical and epidemiological studies.
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Lipidomics-Based Comparison of Molecular Compositions of Green, Yellow, and Red Bell Peppers. Metabolites 2021; 11:metabo11040241. [PMID: 33919953 PMCID: PMC8070949 DOI: 10.3390/metabo11040241] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 04/11/2021] [Indexed: 12/24/2022] Open
Abstract
Identifying and annotating the molecular composition of individual foods will improve scientific understanding of how foods impact human health and how much variation exists in the molecular composition of foods of the same species. The complexity of this task includes distinct varieties and variations in natural occurring pigments of foods. Lipidomics, a sub-field of metabolomics, has emerged as an effective tool to help decipher the molecular composition of foods. For this proof-of-principle research, we determined the lipidomic profiles of green, yellow and red bell peppers (Capsicum annuum) using liquid chromatography mass spectrometry and a novel tool for automated annotation of compounds following database searches. Among 23 samples analyzed from 6 peppers (2 green, 1 yellow, and 3 red), over 8000 lipid compounds were detected with 315 compounds (106 annotated) found in all three colors. Assessments of relationships between these compounds and pepper color, using linear mixed effects regression and false discovery rate (<0.05) statistical adjustment, revealed 11 compounds differing by color. The compound most strongly associated with color was the carotenoid, β-cryptoxanthin (p-value = 7.4 × 10−5; FDR adjusted p-value = 0.0080). These results support lipidomics as a viable analytical technique to identify molecular compounds that can be used for unique characterization of foods.
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Thompson HJ, Levitt JO, McGinley JN, Chandler P, Guenther PM, Huybrechts I, Playdon MC. Measuring Dietary Botanical Diversity as a Proxy for Phytochemical Exposure. Nutrients 2021; 13:1295. [PMID: 33919845 PMCID: PMC8070776 DOI: 10.3390/nu13041295] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 03/31/2021] [Accepted: 04/08/2021] [Indexed: 01/04/2023] Open
Abstract
The study of natural plant molecules and their medicinal properties, pharmacognosy, provides a taxonomy for botanical families that represent diverse chemical groupings with potentially distinct functions in relation to human health. Yet, this reservoir of knowledge has not been systematically applied to elucidating the role of patterns of plant food consumption on gut microbial ecology and function. All chemical classes of dietary phytochemicals can affect the composition of the microbes that colonize the gut and their function. In turn, the gut microbiome affects the host via multiple mechanisms including gut barrier function, immune function, satiety and taste regulation and the activity of biological signaling pathways that influence health and disease. Herein, we report the development of a botanical diversity index (BDI) to evaluate plant food consumption as a novel metric for identifying and quantifying phytochemicals to which an individual is exposed. A rationale is advanced for using the BDI to investigate how plant food diversity impacts gut microbial ecology and functionality.
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Affiliation(s)
- Henry J. Thompson
- Cancer Prevention Laboratory, Colorado State University, Fort Collins, CO 80523, USA;
| | - Jack O. Levitt
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT 84112, USA; (J.O.L.); (P.M.G.)
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
| | - John N. McGinley
- Cancer Prevention Laboratory, Colorado State University, Fort Collins, CO 80523, USA;
| | - Paulette Chandler
- Department of Medicine, Harvard Medical School & Brigham and Women’s Hospital, Boston, MA 02115, USA;
| | - Patricia M. Guenther
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT 84112, USA; (J.O.L.); (P.M.G.)
| | - Inge Huybrechts
- Nutritional Epidemiology Group, International Agency for Research on Cancer, World Health Organization, CEDEX 08, 69372 Lyon, France;
| | - Mary C. Playdon
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT 84112, USA; (J.O.L.); (P.M.G.)
- Cancer Control and Population Sciences Program, Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
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Jang HH, Lee YM, Choe JS, Kwon O. Validation of soy isoflavone intake and its health effects: a review of the development of exposure biomarkers. Nutr Res Pract 2021; 15:1-11. [PMID: 33542788 PMCID: PMC7838478 DOI: 10.4162/nrp.2021.15.1.1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 05/25/2020] [Accepted: 07/21/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND/OBJECTIVES It is difficult to consistently demonstrate the health effects of soy isoflavones owing to the multitude of factors contributing to their bioavailability. To accurately verify these health effects, dietary isoflavone intake should be measured using a biologically active dose rather than an intake dose. This concept has been expanded to the development of new exposure biomarkers in nutrition research. This review aims to provide an overview of the development of exposure biomarkers and suggest a novel research strategy for identifying the health effects of soy isoflavone intake. MATERIALS/METHODS We cover recent studies on the health effects of soy isoflavones focusing on isoflavone metabolites as exposure biomarkers. RESULTS Compared to non-fermented soy foods, fermented soy foods cause an increased concentration of isoflavones in the biofluid immediately following ingestion. The correlation between exposure biomarkers in blood and urine and the food frequency questionnaire was slightly lower than that of corresponding 24-h dietary recalls. Urinary and blood isoflavone levels did not show a consistent association with chronic disease and cancer risk. CONCLUSION It is crucial to understand the variable bioavailabilities of soy isoflavones, which may affect evaluations of soy isoflavone intake in health and disease. Further studies on the development of valid exposure biomarkers are needed to thoroughly investigate the health effects of isoflavone.
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Affiliation(s)
- Hwan-Hee Jang
- National Institute of Agricultural Sciences, Rural Development Administration, Wanju 55365, Korea
- Department of Nutritional Science and Food Management, Ewha Womans University, Seoul 03765, Korea
| | - Young-Min Lee
- Division of Applied Food System, Major of Food and Nutrition, Seoul Women's University, Seoul 01797, Korea
| | - Jeong-Sook Choe
- National Institute of Agricultural Sciences, Rural Development Administration, Wanju 55365, Korea
| | - Oran Kwon
- Department of Nutritional Science and Food Management, Ewha Womans University, Seoul 03765, Korea
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O'Brien DM, Niles KR, Black J, Schoeller DA. The Breath Carbon Isotope Ratio Reflects Short-term Added-Sugar Intake in a Dose-Response, Crossover Feeding Study of 12 Healthy Adults. J Nutr 2021; 151:628-635. [PMID: 33438009 PMCID: PMC7948200 DOI: 10.1093/jn/nxaa352] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 09/21/2020] [Accepted: 10/13/2020] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Objective dietary biomarkers are urgently needed for a wider range of foods and nutrients. The breath carbon isotope ratio (CIR; measured as δ13C values) has potential as a noninvasive measure of short-term added sugar (AS) intake but has not been evaluated in a controlled-feeding study. OBJECTIVE The aim was to evaluate the effect of short-term AS intake on breath CIR in a dose-response, randomized, crossover feeding study. METHODS Six men and 6 women, aged 25 to 60 y, were randomly assigned to a balanced sequence of 5 dietary treatments. Three treatments delivered low (0 g/d), medium (75 g/d), or high (150 g/d) amounts of AS over the course of a single day's breakfast and lunch and 2 switched high and low intake amounts between breakfast and lunch. Experimental meals delivered 60% of daily energy and added-sugar targets. There was a washout period of 1-2 wk between treatments. Breath was collected at 2-h intervals from 08:00 (fasting) to 16:00 h. Breath CIR was measured using cavity ring-down spectroscopy, and the effects of dietary treatments and baseline were evaluated using multivariate linear regression. RESULTS Breath CIR showed a significant response to increasing AS intake at all sampling time points (all P < 0.0001), with a dose-response of 0.030 (95% CI: 0.024, 0.037) ‰/g. Fasting breath CIR (baseline) influenced postfeeding breath CIR at all sampling time points (P < 0.0001); however, effect sizes were largest in the morning. For afternoon-collected samples (14:00 and 16:00), the effect of recent AS intake (lunch) was 4-fold greater than the effect of previous added-sugar intake (breakfast). CONCLUSIONS These findings support the potential of the breath CIR as a biomarker of short-term AS intake in healthy US adults. More work is needed to evaluate other potential dietary effects and whether multiple breath collections could capture daily AS intake.
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Affiliation(s)
| | - Kristine R Niles
- Center for Alaska Native Health Research, Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK, USA
| | - Jynene Black
- Center for Alaska Native Health Research, Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK, USA
| | - Dale A Schoeller
- Nutrition Sciences, University of Wisconsin–Madison, Madison, WI, USA
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Beckmann M, Wilson T, Lloyd AJ, Torres D, Goios A, Willis ND, Lyons L, Phillips H, Mathers JC, Draper J. Challenges Associated With the Design and Deployment of Food Intake Urine Biomarker Technology for Assessment of Habitual Diet in Free-Living Individuals and Populations-A Perspective. Front Nutr 2020; 7:602515. [PMID: 33344495 PMCID: PMC7745244 DOI: 10.3389/fnut.2020.602515] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 10/29/2020] [Indexed: 12/27/2022] Open
Abstract
Improvement of diet at the population level is a cornerstone of national and international strategies for reducing chronic disease burden. A critical challenge in generating robust data on habitual dietary intake is accurate exposure assessment. Self-reporting instruments (e.g., food frequency questionnaires, dietary recall) are subject to reporting bias and serving size perceptions, while weighed dietary assessments are unfeasible in large-scale studies. However, secondary metabolites derived from individual foods/food groups and present in urine provide an opportunity to develop potential biomarkers of food intake (BFIs). Habitual dietary intake assessment in population surveys using biomarkers presents several challenges, including the need to develop affordable biofluid collection methods, acceptable to participants that allow collection of informative samples. Monitoring diet comprehensively using biomarkers requires analytical methods to quantify the structurally diverse mixture of target biomarkers, at a range of concentrations within urine. The present article provides a perspective on the challenges associated with the development of urine biomarker technology for monitoring diet exposure in free-living individuals with a view to its future deployment in "real world" situations. An observational study (n = 95), as part of a national survey on eating habits, provided an opportunity to explore biomarker measurement in a free-living population. In a second food intervention study (n = 15), individuals consumed a wide range of foods as a series of menus designed specifically to achieve exposure reflecting a diversity of foods commonly consumed in the UK, emulating normal eating patterns. First Morning Void urines were shown to be suitable samples for biomarker measurement. Triple quadrupole mass spectrometry, coupled with liquid chromatography, was used to assess simultaneously the behavior of a panel of 54 potential BFIs. This panel of chemically diverse biomarkers, reporting intake of a wide range of commonly-consumed foods, can be extended successfully as new biomarker leads are discovered. Towards validation, we demonstrate excellent discrimination of eating patterns and quantitative relationships between biomarker concentrations in urine and the intake of several foods. In conclusion, we believe that the integration of information from BFI technology and dietary self-reporting tools will expedite research on the complex interactions between dietary choices and health.
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Affiliation(s)
- Manfred Beckmann
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Thomas Wilson
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Amanda J. Lloyd
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Duarte Torres
- Faculty of Nutrition and Food Sciences, University of Porto, Porto, Portugal
- Epidemiology Research Unit (EPIUnit), Institute of Public Health, University of Porto, Porto, Portugal
| | - Ana Goios
- Faculty of Nutrition and Food Sciences, University of Porto, Porto, Portugal
- Epidemiology Research Unit (EPIUnit), Institute of Public Health, University of Porto, Porto, Portugal
| | - Naomi D. Willis
- Human Nutrition Research Centre, Population Health Sciences Institute, William Leech Building, Newcastle University, Newcastle-upon-Tyne, United Kingdom
| | - Laura Lyons
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Helen Phillips
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - John C. Mathers
- Human Nutrition Research Centre, Population Health Sciences Institute, William Leech Building, Newcastle University, Newcastle-upon-Tyne, United Kingdom
| | - John Draper
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
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de Souza RJ, Shanmuganathan M, Lamri A, Atkinson SA, Becker A, Desai D, Gupta M, Mandhane PJ, Moraes TJ, Morrison KM, Subbarao P, Teo KK, Turvey SE, Williams NC, Britz-McKibbin P, Anand SS. Maternal Diet and the Serum Metabolome in Pregnancy: Robust Dietary Biomarkers Generalizable to a Multiethnic Birth Cohort. Curr Dev Nutr 2020; 4:nzaa144. [PMID: 33073162 PMCID: PMC7547851 DOI: 10.1093/cdn/nzaa144] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 08/15/2020] [Accepted: 08/27/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Advances in metabolomics are anticipated to decipher associations between dietary exposures and health. Replication biomarker studies in different populations are critical to demonstrate generalizability. OBJECTIVES To identify and validate robust serum metabolites associated with diet quality and specific foods in a multiethnic cohort of pregnant women. DESIGN In this cross-sectional analysis of 3 multiethnic Canadian birth cohorts, we collected semiquantitative FFQ and serum data from 900 women at the second trimester of pregnancy. We calculated a diet quality score (DQS), defined as daily servings of "healthy" minus "unhealthy" foods. Serum metabolomics was performed by multisegment injection-capillary electrophoresis-mass spectrometry, and specific serum metabolites associated with maternal DQSs were identified. We combined the results across all 3 cohorts using meta-analysis to classify robust dietary biomarkers (r > ± 0.1; P < 0.05). RESULTS Diet quality was higher in the South Asian birth cohort (mean DQS = 7.1) than the 2 white Caucasian birth cohorts (mean DQS <3.2). Sixty-six metabolites were detected with high frequency (>75%) and adequate precision (CV <30%), and 47 were common to all cohorts. Hippuric acid was positively associated with healthy diet score in all cohorts, and with the overall DQS only in the primarily white Caucasian cohorts. We observed robust correlations between: 1) proline betaine-citrus foods; 2) 3-methylhistidine-red meat, chicken, and eggs; 3) hippuric acid-fruits and vegetables; 4) trimethylamine N-oxide (TMAO)-seafood, meat, and eggs; and 5) tryptophan betaine-nuts/legumes. CONCLUSIONS Specific serum metabolites reflect intake of citrus fruit/juice, vegetables, animal foods, and nuts/legumes in pregnant women independent of ethnicity, fasting status, and delays to storage across multiple collection centers. Robust biomarkers of overall diet quality varied by cohort. Proline betaine, 3-methylhistidine, hippuric acid, TMAO, and tryptophan betaine were robust dietary biomarkers for investigations of maternal nutrition in diverse populations.
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Affiliation(s)
- Russell J de Souza
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton, ON, Canada
| | - Meera Shanmuganathan
- Department of Chemistry and Chemical Biology, McMaster University, Hamilton, ON, Canada
| | - Amel Lamri
- Population Health Research Institute, Hamilton, ON, Canada
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | | | - Allan Becker
- Children's Hospital Research Institute, University of Manitoba, Winnipeg, MB, Canada
| | - Dipika Desai
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton, ON, Canada
| | - Milan Gupta
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Canadian Collaborative Research Network, Brampton, ON, Canada
| | - Piush J Mandhane
- Department of Pediatrics, University of Alberta, Edmonton, AB, Canada
| | | | - Katherine M Morrison
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton, ON, Canada
- Department of Pediatrics, McMaster University, Hamilton, ON, Canada
| | - Padmaja Subbarao
- Hospital for Sick Children, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - Koon K Teo
- Population Health Research Institute, Hamilton, ON, Canada
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Stuart E Turvey
- BC Children's Hospital and The University of British Columbia, Vancouver, BC, Canada
| | | | - Philip Britz-McKibbin
- Department of Chemistry and Chemical Biology, McMaster University, Hamilton, ON, Canada
| | - Sonia S Anand
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton, ON, Canada
- Department of Medicine, McMaster University, Hamilton, ON, Canada
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Kay CD, Clifford MN, Mena P, McDougall GJ, Andres-Lacueva C, Cassidy A, Del Rio D, Kuhnert N, Manach C, Pereira-Caro G, Rodriguez-Mateos A, Scalbert A, Tomás-Barberán F, Williamson G, Wishart DS, Crozier A. Recommendations for standardizing nomenclature for dietary (poly)phenol catabolites. Am J Clin Nutr 2020; 112:1051-1068. [PMID: 32936878 PMCID: PMC7528558 DOI: 10.1093/ajcn/nqaa204] [Citation(s) in RCA: 69] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 06/29/2020] [Indexed: 12/14/2022] Open
Abstract
There is a lack of focus on the protective health effects of phytochemicals in dietary guidelines. Although a number of chemical libraries and databases contain dietary phytochemicals belonging to the plant metabolome, they are not entirely relevant to human health because many constituents are extensively metabolized within the body following ingestion. This is especially apparent for the highly abundant dietary (poly)phenols, for which the situation is compounded by confusion regarding their bioavailability and metabolism, partially because of the variety of nomenclatures and trivial names used to describe compounds arising from microbial catabolism in the gastrointestinal tract. This confusion, which is perpetuated in online chemical/metabolite databases, will hinder future discovery of bioactivities and affect the establishment of future dietary guidelines if steps are not taken to overcome these issues. In order to resolve this situation, a nomenclature system for phenolic catabolites and their human phase II metabolites is proposed in this article and the basis of its format outlined. Previous names used in the literature are cited along with the recommended nomenclature, International Union of Pure and Applied Chemistry terminology, and, where appropriate, Chemical Abstracts Service numbers, InChIKey, and accurate mass.
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Affiliation(s)
- Colin D Kay
- Plants for Human Health Institute, Food Bioprocessing and Nutrition Sciences Department, North Carolina State University, Kannapolis, NC, USA
| | - Michael N Clifford
- School of Bioscience and Medicine, University of Surrey, Guildford, United Kingdom
- Department of Nutrition, Dietetics and Food, Monash University, Notting Hill, Victoria, Australia
| | - Pedro Mena
- Department of Food and Drugs, University of Parma, Parma, Italy
| | - Gordon J McDougall
- The James Hutton Research Institute, Invergowrie, Dundee, United Kingdom
| | - Cristina Andres-Lacueva
- Department of Nutrition, Food Science and Gastronomy, University of Barcelona, Barcelona, Spain
- CIBER Frailty and Healthy Aging (CIBERfes), Institute of Health Carlos III, Barcelona, Spain
| | - Aedin Cassidy
- Institue for Food Security, Queen's University, Belfast, United Kingdom
| | - Daniele Del Rio
- Department of Food and Drugs, University of Parma, Parma, Italy
| | - Nikolai Kuhnert
- Department of Life Sciences and Health, Jacobs University, Bremen, Germany
| | - Claudine Manach
- Université Clermont Auvergne, INRAE, Clermont-Ferrand, France
| | - Gema Pereira-Caro
- Department of Food Science and Health, Andalusian Institute of Agricultural and Fisheries Research and Training, Cordoba, Spain
| | | | | | | | - Gary Williamson
- Department of Nutrition, Dietetics and Food, Monash University, Notting Hill, Victoria, Australia
| | - David S Wishart
- Department of Biological Sciences, University of Alberta, Edmonton, Canada
| | - Alan Crozier
- School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, United Kingdom
- Department of Nutrition, University of California, Davis, Davis, CA, USA
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45
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Lacalle-Bergeron L, Portolés T, López FJ, Sancho JV, Ortega-Azorín C, Asensio EM, Coltell O, Corella D. Ultra-Performance Liquid Chromatography-Ion Mobility Separation-Quadruple Time-of-Flight MS (UHPLC-IMS-QTOF MS) Metabolomics for Short-Term Biomarker Discovery of Orange Intake: A Randomized, Controlled Crossover Study. Nutrients 2020; 12:nu12071916. [PMID: 32610451 PMCID: PMC7400617 DOI: 10.3390/nu12071916] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 06/24/2020] [Accepted: 06/25/2020] [Indexed: 11/16/2022] Open
Abstract
A major problem with dietary assessments is their subjective nature. Untargeted metabolomics and new technologies can shed light on this issue and provide a more complete picture of dietary intake by measuring the profile of metabolites in biological samples. Oranges are one of the most consumed fruits in the world, and therefore one of the most studied for their properties. The aim of this work was the application of untargeted metabolomics approach with the novel combination of ion mobility separation coupled to high resolution mass spectrometry (IMS-HRMS) and study the advantages that this technique can bring to the area of dietary biomarker discovery, with the specific case of biomarkers associated with orange consumption (Citrus reticulata) in plasma samples taken during an acute intervention study (consisting of a randomized, controlled crossover trial in healthy individuals). A total of six markers of acute orange consumption, including betonicines and conjugated flavonoids, were identified with the experimental data and previous literature, demonstrating the advantages of ion mobility in the identification of dietary biomarkers and the benefits that an additional structural descriptor, as the collision cross section value (CCS), can provide in this area.
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Affiliation(s)
- Leticia Lacalle-Bergeron
- Research Institute for Pesticides and Water (IUPA), Universitat Jaume I, 12071 Castellón, Spain; (L.L.-B.); (T.P.); (F.J.L.); (J.V.S.)
| | - Tania Portolés
- Research Institute for Pesticides and Water (IUPA), Universitat Jaume I, 12071 Castellón, Spain; (L.L.-B.); (T.P.); (F.J.L.); (J.V.S.)
| | - Francisco J. López
- Research Institute for Pesticides and Water (IUPA), Universitat Jaume I, 12071 Castellón, Spain; (L.L.-B.); (T.P.); (F.J.L.); (J.V.S.)
| | - Juan Vicente Sancho
- Research Institute for Pesticides and Water (IUPA), Universitat Jaume I, 12071 Castellón, Spain; (L.L.-B.); (T.P.); (F.J.L.); (J.V.S.)
| | - Carolina Ortega-Azorín
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (C.O.-A.); (E.M.A.)
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain;
| | - Eva M. Asensio
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (C.O.-A.); (E.M.A.)
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain;
| | - Oscar Coltell
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain;
- Department of Computer Languages and Systems, Universitat Jaume I, 12071 Castellón, Spain
| | - Dolores Corella
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (C.O.-A.); (E.M.A.)
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain;
- Correspondence: ; Tel.: +34-963-86-4800
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46
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González-Domínguez R, Jáuregui O, Mena P, Hanhineva K, Tinahones FJ, Angelino D, Andrés-Lacueva C. Quantifying the human diet in the crosstalk between nutrition and health by multi-targeted metabolomics of food and microbiota-derived metabolites. Int J Obes (Lond) 2020; 44:2372-2381. [PMID: 32541919 DOI: 10.1038/s41366-020-0628-1] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 05/18/2020] [Accepted: 06/01/2020] [Indexed: 11/09/2022]
Abstract
BACKGROUND Metabolomics is a powerful tool for investigating the association between nutrition and health status. Although urine is commonly employed for studying the metabolism and transformation of food components, the use of blood samples could be preferable to gain new insights into the bioavailability of diet-derived compounds and their involvement in health. However, the chemical complexity of blood samples hinders the analysis of this biological fluid considerably, which makes the development of novel and comprehensive analytical methods mandatory. METHODS In this work, we optimized a multi-targeted metabolomics platform for the quantitative and simultaneous analysis of 450 food-derived metabolites by ultra-high performance liquid chromatography coupled to tandem mass spectrometry. To handle the chemical complexity of blood samples, three complementary extraction methods were assayed and compared in terms of recovery, sensitivity, precision and matrix effects with the aim of maximizing metabolomics coverage: protein precipitation, reversed solid-phase extraction, and hybrid protein precipitation with solid-phase extraction-mediated phospholipid removal. RESULTS After careful optimization of the extraction conditions, protein precipitation enabled the most efficient and high-throughput extraction of the food metabolome in plasma, although solid-phase extraction-based protocols provided complementary performance for the analysis of specific polyphenol classes. The developed method yielded accurate recovery rates with negligible matrix effects, and good linearity, as well as high sensitivity and precision for most of the analyzed metabolites. CONCLUSIONS The multi-targeted metabolomics platform optimized in this work enables the simultaneous detection and quantitation of 450 dietary metabolites in short-run times using small volumes of biological sample, which facilitates its application to epidemiological studies.
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Affiliation(s)
- Raúl González-Domínguez
- Biomarkers and Nutrimetabolomics Laboratory; Department of Nutrition, Food Sciences and Gastronomy; Food Technology Reference Net (XaRTA); Nutrition and Food Safety Research Institute (INSA); Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028, Barcelona, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERfes), Instituto de Salud Carlos III, Barcelona, Spain
| | - Olga Jáuregui
- CIBER Fragilidad y Envejecimiento Saludable (CIBERfes), Instituto de Salud Carlos III, Barcelona, Spain.,Scientific and Technological Center of University of Barcelona (CCiTUB), 08028, Barcelona, Spain
| | - Pedro Mena
- Human Nutrition Unit, Department of Food and Drugs, University of Parma, Medical School Building C, Via Volturno, 39, 43125, Parma, Italy
| | - Kati Hanhineva
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Francisco José Tinahones
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Institute of Biomedical Research in Malaga (IBIMA), Malaga, Spain.,CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Institute of Health Carlos III, Madrid, Spain
| | - Donato Angelino
- Human Nutrition Unit, Department of Food and Drugs, University of Parma, Medical School Building C, Via Volturno, 39, 43125, Parma, Italy
| | - Cristina Andrés-Lacueva
- Biomarkers and Nutrimetabolomics Laboratory; Department of Nutrition, Food Sciences and Gastronomy; Food Technology Reference Net (XaRTA); Nutrition and Food Safety Research Institute (INSA); Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028, Barcelona, Spain. .,CIBER Fragilidad y Envejecimiento Saludable (CIBERfes), Instituto de Salud Carlos III, Barcelona, Spain.
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47
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An Integrative Approach to Assessing Diet-Cancer Relationships. Metabolites 2020; 10:metabo10040123. [PMID: 32218376 PMCID: PMC7241082 DOI: 10.3390/metabo10040123] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 03/23/2020] [Accepted: 03/24/2020] [Indexed: 02/06/2023] Open
Abstract
The relationship between diet and cancer is often viewed with skepticism by the public and health professionals, despite a considerable body of evidence and general consistency in recommendations over the past decades. A systems biology approach which integrates 'omics' data including metabolomics, genetics, metagenomics, transcriptomics and proteomics holds promise for developing a better understanding of how diet affects cancer and for improving the assessment of diet through biomarker discovery thereby renewing confidence in diet-cancer links. This review discusses the application of multi-omics approaches to studies of diet and cancer. Considerations and challenges that need to be addressed to facilitate the investigation of diet-cancer relationships with multi-omic approaches are also discussed.
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48
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Kuhnle GGC. Stable isotope ratios-nutritional biomarkers of long-term intake? Am J Clin Nutr 2019; 110:1265-1267. [PMID: 31536121 DOI: 10.1093/ajcn/nqz239] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Gunter G C Kuhnle
- Department of Food and Nutritional Sciences, University of Reading, Reading, United Kingdom
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