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Cuparencu C, Bulmuş-Tüccar T, Stanstrup J, La Barbera G, Roager HM, Dragsted LO. Towards nutrition with precision: unlocking biomarkers as dietary assessment tools. Nat Metab 2024:10.1038/s42255-024-01067-y. [PMID: 38956322 DOI: 10.1038/s42255-024-01067-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 05/20/2024] [Indexed: 07/04/2024]
Abstract
Precision nutrition requires precise tools to monitor dietary habits. Yet current dietary assessment instruments are subjective, limiting our understanding of the causal relationships between diet and health. Biomarkers of food intake (BFIs) hold promise to increase the objectivity and accuracy of dietary assessment, enabling adjustment for compliance and misreporting. Here, we update current concepts and provide a comprehensive overview of BFIs measured in urine and blood. We rank BFIs based on a four-level utility scale to guide selection and identify combinations of BFIs that specifically reflect complex food intakes, making them applicable as dietary instruments. We discuss the main challenges in biomarker development and illustrate key solutions for the application of BFIs in human studies, highlighting different strategies for selecting and combining BFIs to support specific study designs. Finally, we present a roadmap for BFI development and implementation to leverage current knowledge and enable precision in nutrition research.
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Affiliation(s)
- Cătălina Cuparencu
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark.
| | - Tuğçe Bulmuş-Tüccar
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
- Department of Nutrition and Dietetics, Yüksek İhtisas University, Ankara, Turkey
| | - Jan Stanstrup
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | - Giorgia La Barbera
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | - Henrik M Roager
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | - Lars O Dragsted
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
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Sjöblom L, Hantikainen E, Bellocco R, Ye W, Adami HO, Trolle Lagerros Y, Bonn SE. Nordic Nutrition Recommendations and risk of myocardial infarction and stroke: a prospective cohort study. Eur J Nutr 2024; 63:1151-1162. [PMID: 38353704 PMCID: PMC11139687 DOI: 10.1007/s00394-024-03337-7] [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: 09/06/2023] [Accepted: 01/29/2024] [Indexed: 05/31/2024]
Abstract
PURPOSE The Nordic Nutrition Recommendations (NNR) are developed to prevent diet-related diseases. This study aimed to examine adherence to the NNR and risk of myocardial infarction (MI) and stroke among women and men in Sweden. METHODS We followed 34,898 adults from 1997 to 2016. Dietary intake was assessed once at baseline using a food frequency questionnaire. Adherence scores corresponding to NNR-editions from 2023, 2012, 2004 and 1996 were calculated. Scores were categorized into low (reference category), moderate and high adherence. Cox proportional hazards regression models adjusted for potential confounders were used to estimate hazards ratios (HR) with 95% confidence intervals (CI). RESULTS We identified 1649 incident cases of MI and 2071 incident cases of stroke during follow-up (mean 17.9 years). For each 1-point increase in the NNR2023-score (range 0-9), the rate of MI decreased by 14% (HR: 0.86; 95% CI 0.78-0.95). High adherence was associated with a lower rate of MI (HR: 0.72; 95% CI 0.59-0.87) (p-trend = 0.01). Moderate adherence was associated with a lower rate of stroke (HR: 0.88; 95% CI 0.78-0.99) (p-trend = 0.31). Among women, a 23% lower rate of MI (HR: 0.77; 95% CI 0.67-0.89) was observed for each 1-point increase, and high adherence was associated with a lower rate of MI (HR: 0.59; 95% CI 0.45-0.78). No associations were found in men. The results were similar, though attenuated, for earlier NNR-editions. CONCLUSION Adherence to the NNR was associated with a reduced risk of MI. This association was more pronounced among women than among men and in more recent NNR-editions. The findings for stroke need further investigation.
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Affiliation(s)
- Linnea Sjöblom
- Division of Clinical Epidemiology, Department of Medicine (Solna), Karolinska Institutet, 171 76, Stockholm, Sweden.
| | - Essi Hantikainen
- Deparment of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126, Milan, Italy
- Institute for Biomedicine, Eurac Research, 39100, Bolzano, Italy
| | - Rino Bellocco
- Deparment of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126, Milan, Italy
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77, Stockholm, Sweden
| | - Weimin Ye
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77, Stockholm, Sweden
| | - Hans-Olov Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77, Stockholm, Sweden
- Clinical Effectiveness Group, Institute of Health and Society, University of Oslo, 0318, Oslo, Norway
| | - Ylva Trolle Lagerros
- Division of Clinical Epidemiology, Department of Medicine (Solna), Karolinska Institutet, 171 76, Stockholm, Sweden
- Center for Obesity, Academic Specialist Center, Stockholm Health Services, 113 65, Stockholm, Sweden
| | - Stephanie Erika Bonn
- Division of Clinical Epidemiology, Department of Medicine (Solna), Karolinska Institutet, 171 76, Stockholm, Sweden
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Stråvik M, Hartvigsson O, Noerman S, Sandin A, Wold AE, Barman M, Sandberg AS. Biomarker Candidates of Habitual Food Intake in a Swedish Cohort of Pregnant and Lactating Women and Their Infants. Metabolites 2024; 14:256. [PMID: 38786733 PMCID: PMC11123206 DOI: 10.3390/metabo14050256] [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: 02/29/2024] [Revised: 04/19/2024] [Accepted: 04/26/2024] [Indexed: 05/25/2024] Open
Abstract
Circulating food metabolites could improve dietary assessments by complementing traditional methods. Here, biomarker candidates of food intake were identified in plasma samples from pregnancy (gestational week 29, N = 579), delivery (mothers, N = 532; infants, N = 348), and four months postpartum (mothers, N = 477; breastfed infants, N = 193) and associated to food intake assessed with semi-quantitative food frequency questionnaires. Families from the Swedish birth cohort Nutritional impact on Immunological maturation during Childhood in relation to the Environment (NICE) were included. Samples were analyzed using untargeted liquid chromatography-mass spectrometry (LC-MS)-based metabolomics. Both exposure and outcome were standardized, and relationships were investigated using a linear regression analysis. The intake of fruits and berries and fruit juice were both positively related to proline betaine levels during pregnancy (fruits and berries, β = 0.23, FDR < 0.001; fruit juice, β = 0.27, FDR < 0.001), at delivery (fruit juice, infants: β = 0.19, FDR = 0.028), and postpartum (fruits and berries, mothers: β = 0.27, FDR < 0.001, infants: β = 0.29, FDR < 0.001; fruit juice, mothers: β = 0.37, FDR < 0.001). Lutein levels were positively related to vegetable intake during pregnancy (β = 0.23, FDR < 0.001) and delivery (mothers: β = 0.24, FDR < 0.001; newborns: β = 0.18, FDR = 0.014) and CMPF with fatty fish intake postpartum (mothers: β = 0.20, FDR < 0.001). No clear relationships were observed with the expected food sources of the remaining metabolites (acetylcarnitine, choline, indole-3-lactic acid, pipecolic acid). Our study suggests that plasma lutein could be useful as a more general food group intake biomarker for vegetables and fruits during pregnancy and delivery. Also, our results suggest the application of proline betaine as an intake biomarker of citrus fruit during gestation and lactation.
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Affiliation(s)
- Mia Stråvik
- Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, 412 96 Gothenburg, Sweden (A.-S.S.)
| | - Olle Hartvigsson
- Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, 412 96 Gothenburg, Sweden (A.-S.S.)
| | - Stefania Noerman
- Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, 412 96 Gothenburg, Sweden (A.-S.S.)
| | - Anna Sandin
- Pediatrics, Department of Clinical Science, Sunderby Research Unit, Umeå University, 901 87 Umeå, Sweden
| | - Agnes E. Wold
- Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, 413 90 Gothenburg, Sweden
| | - Malin Barman
- Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, 412 96 Gothenburg, Sweden (A.-S.S.)
| | - Ann-Sofie Sandberg
- Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, 412 96 Gothenburg, Sweden (A.-S.S.)
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Kortesniemi M, Noerman S, Kårlund A, Raita J, Meuronen T, Koistinen V, Landberg R, Hanhineva K. Nutritional metabolomics: Recent developments and future needs. Curr Opin Chem Biol 2023; 77:102400. [PMID: 37804582 DOI: 10.1016/j.cbpa.2023.102400] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 08/21/2023] [Accepted: 09/07/2023] [Indexed: 10/09/2023]
Abstract
Metabolomics has rapidly been adopted as one of the key methods in nutrition research. This review focuses on the recent developments and updates in the field, including the analytical methodologies that encompass improved instrument sensitivity, sampling techniques and data integration (multiomics). Metabolomics has advanced the discovery and validation of dietary biomarkers and their implementation in health research. Metabolomics has come to play an important role in the understanding of the role of small molecules resulting from the diet-microbiota interactions when gut microbiota research has shifted towards improving the understanding of the activity and functionality of gut microbiota rather than composition alone. Currently, metabolomics plays an emerging role in precision nutrition and the recent developments therein are discussed.
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Affiliation(s)
- Maaria Kortesniemi
- Food Sciences Unit, Department of Life Technologies, University of Turku, FI-20014 Turun yliopisto, Finland.
| | - Stefania Noerman
- Division of Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
| | - Anna Kårlund
- Food Sciences Unit, Department of Life Technologies, University of Turku, FI-20014 Turun yliopisto, Finland
| | - Jasmin Raita
- Food Sciences Unit, Department of Life Technologies, University of Turku, FI-20014 Turun yliopisto, Finland
| | - Topi Meuronen
- Food Sciences Unit, Department of Life Technologies, University of Turku, FI-20014 Turun yliopisto, Finland
| | - Ville Koistinen
- Food Sciences Unit, Department of Life Technologies, University of Turku, FI-20014 Turun yliopisto, Finland; Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, FI-70211 Kuopio, Finland
| | - Rikard Landberg
- Division of Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
| | - Kati Hanhineva
- Food Sciences Unit, Department of Life Technologies, University of Turku, FI-20014 Turun yliopisto, Finland; Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, FI-70211 Kuopio, Finland
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Clarke ED, Ferguson JJ, Stanford J, Collins CE. Dietary Assessment and Metabolomic Methodologies in Human Feeding Studies: A Scoping Review. Adv Nutr 2023; 14:1453-1465. [PMID: 37604308 PMCID: PMC10721540 DOI: 10.1016/j.advnut.2023.08.010] [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: 11/24/2022] [Revised: 05/01/2023] [Accepted: 08/16/2023] [Indexed: 08/23/2023] Open
Abstract
Dietary metabolomics is a relatively objective approach to identifying new biomarkers of dietary intake and for use alongside traditional methods. However, methods used across dietary feeding studies vary, thus making it challenging to compare results. The objective of this study was to synthesize methodological components of controlled human feeding studies designed to quantify the diet-related metabolome in biospecimens, including plasma, serum, and urine after dietary interventions. Six electronic databases were searched. Included studies were as follows: 1) conducted in healthy adults; 2) intervention studies; 3) feeding studies focusing on dietary patterns; and 4) measured the dietary metabolome. From 12,425 texts, 50 met all inclusion criteria. Interventions were primarily crossover (n = 25) and parallel randomized controlled trials (n = 22), with between 8 and 395 participants. Seventeen different dietary patterns were tested, with the most common being the "High versus Low-Glycemic Index/Load" pattern (n = 11) and "Typical Country Intake" (n = 11); with 32 providing all or the majority (90%) of food, 16 providing some food, and 2 providing no food. Metabolites were identified in urine (n = 31) and plasma/serum (n = 30). Metabolites were quantified using liquid chromatography, mass spectroscopy (n = 31) and used untargeted metabolomics (n = 37). There was extensive variability in the methods used in controlled human feeding studies examining the metabolome, including dietary patterns tested, biospecimen sample collection, and metabolomic analysis techniques. To improve the comparability and reproducibility of controlled human feeding studies examining the metabolome, it is important to provide detailed information about the dietary interventions being tested, including information about included or restricted foods, food groups, and meal plans provided. Strategies to control for individual variability, such as a crossover study design, statistical adjustment methods, dietary-controlled run-in periods, or providing standardized meals or test foods throughout the study should also be considered. The protocol for this review has been registered at Open Science Framework (https://doi.org/10.17605/OSF.IO/DAHGS).
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Affiliation(s)
- Erin D Clarke
- School of Health Sciences, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia; Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Jessica Ja Ferguson
- School of Health Sciences, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia; Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Jordan Stanford
- School of Health Sciences, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia; Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Clare E Collins
- School of Health Sciences, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia; Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.
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Lanuza F, Meroño T, Zamora-Ros R, Bondonno NP, Rostgaard-Hansen AL, Sánchez-Pla A, Miro B, Carmona-Pontaque F, Riccardi G, Tjønneland A, Landberg R, Halkjær J, Andres-Lacueva C. Plasma metabolomic profiles of plant-based dietary indices reveal potential pathways for metabolic syndrome associations. Atherosclerosis 2023; 382:117285. [PMID: 37778133 DOI: 10.1016/j.atherosclerosis.2023.117285] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/24/2023] [Accepted: 09/06/2023] [Indexed: 10/03/2023]
Abstract
BACKGROUND AND AIMS Plant-based dietary patterns have been associated with improved health outcomes. This study aims to describe the metabolomic fingerprints of plant-based diet indices (PDI) and examine their association with metabolic syndrome (MetS) and its components in a Danish population. METHODS The MAX study comprised 676 participants (55% women, aged 18-67 y) from Copenhagen. Sociodemographic and dietary data were collected using questionnaires and three 24-h dietary recalls over one year (at baseline, and at 6 and 12 months). Mean dietary intakes were computed, as well as overall PDI, healthful (hPDI) and unhealthful (uPDI) scores, according to food groups for each plant-based index. Clinical variables were also collected at the same time points in a health examination that included complete blood tests. MetS was defined according to the International Diabetes Federation criteria. Plasma metabolites were measured using a targeted metabolomics approach. Metabolites associated with PDI were selected using random forest models and their relationships with PDIs and MetS were analyzed using generalized linear mixed models. RESULTS The mean prevalence of MetS was 10.8%. High, compared to low, hPDI and uPDI scores were associated with a lower and higher odd of MetS, respectively [odds ratio (95%CI); hPDI: 0.56 (0.43-0.74); uPDI: 1.61 (1.26-2.05)]. Out of 411 quantified plasma metabolites, machine-learning metabolomics fingerprinting revealed 13 metabolites, including food and food-related microbial metabolites, like hypaphorine, indolepropionic acid and lignan-derived enterolactones. These metabolites were associated with all PDIs and were inversely correlated with MetS components (p < 0.05). Furthermore, they had an explainable contribution of 12% and 14% for the association between hPDI or uPDI, respectively, and MetS only among participants with overweight/obesity. CONCLUSIONS Metabolites associated with PDIs were inversely associated with MetS and its components, and may partially explain the effects of plant-based diets on cardiometabolic risk factors.
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Affiliation(s)
- Fabian Lanuza
- Biomarkers and Nutrimetabolomics Laboratory, Department de Nutrició, Ciències de L'Alimentació i Gastronomia, Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB), Facultat de Farmàcia i Ciències de L'Alimentació, Universitat de Barcelona (UB), 08028, Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, 28029, Spain
| | - Tomas Meroño
- Biomarkers and Nutrimetabolomics Laboratory, Department de Nutrició, Ciències de L'Alimentació i Gastronomia, Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB), Facultat de Farmàcia i Ciències de L'Alimentació, Universitat de Barcelona (UB), 08028, Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, 28029, Spain.
| | - Raul Zamora-Ros
- Biomarkers and Nutrimetabolomics Laboratory, Department de Nutrició, Ciències de L'Alimentació i Gastronomia, Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB), Facultat de Farmàcia i Ciències de L'Alimentació, Universitat de Barcelona (UB), 08028, Barcelona, Spain; Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain.
| | - Nicola P Bondonno
- Danish Cancer Society Research Center, Strandboulevarden 49, DK 2100, Copenhagen, Denmark; Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | | | - Alex Sánchez-Pla
- Statistics and Bioinformatics Research Group, Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain
| | - Berta Miro
- Biomarkers and Nutrimetabolomics Laboratory, Department de Nutrició, Ciències de L'Alimentació i Gastronomia, Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB), Facultat de Farmàcia i Ciències de L'Alimentació, Universitat de Barcelona (UB), 08028, Barcelona, Spain; Statistics and Bioinformatics Research Group, Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain
| | - Francesc Carmona-Pontaque
- Statistics and Bioinformatics Research Group, Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain
| | - Gabriele Riccardi
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Strandboulevarden 49, DK 2100, Copenhagen, Denmark
| | - Rikard Landberg
- Department of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, Gothenburg, Sweden
| | - Jytte Halkjær
- Danish Cancer Society Research Center, Strandboulevarden 49, DK 2100, Copenhagen, Denmark
| | - Cristina Andres-Lacueva
- Biomarkers and Nutrimetabolomics Laboratory, Department de Nutrició, Ciències de L'Alimentació i Gastronomia, Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB), Facultat de Farmàcia i Ciències de L'Alimentació, Universitat de Barcelona (UB), 08028, Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, 28029, Spain
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Ferguson JJA, Clarke E, Stanford J, Burrows T, Wood L, Collins C. Dietary metabolome profiles of a Healthy Australian Diet and a Typical Australian Diet: protocol for a randomised cross-over feeding study in Australian adults. BMJ Open 2023; 13:e073658. [PMID: 37524561 PMCID: PMC10391791 DOI: 10.1136/bmjopen-2023-073658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/02/2023] Open
Abstract
INTRODUCTION Traditional dietary assessment methods such as 24-hour recalls and food frequency questionnaires rely on self-reported data and are prone to error, bias and inaccuracy. Identification of dietary metabolites associated with different dietary patterns can provide objective markers of whole diet patterns that account for metabolism and individual responses to dietary interventions. Additionally, few studies have investigated country-specific healthy and unhealthy dietary patterns using metabolomics. Therefore, the current study aims to identify urinary and plasma metabolites that characterise a 'healthy' (aligned with current national dietary guidelines) and an 'unhealthy' dietary pattern (Typical Australian Diet) in Australian adults. METHODS AND ANALYSIS The Diet Quality Feeding Study (DQFS) is an 8-week cross-over feeding study that will recruit 40 healthy adults from the Hunter region (NSW, Australia). Data collected includes biospecimens (whole blood, urine, stool) for quantification of dietary metabolite biomarkers; questionnaires (medical history/demographic, physical activity, quality of life); physical measures (anthropometry, body composition, waist circumference, blood pressure, arterial pressure); skin carotenoids and dietary intake (24-hour recalls, food frequency questionnaire). Participants will attend the research facility every 2 weeks (end of the run-in, each diet intervention and washout period) for collection of physical measures. All food will be provided to participants for each dietary intervention period, and participants will return to their usual diet during the run-in and washout periods. Targeted and untargeted metabolomics using liquid chromatography-mass spectrometry and/or proton nuclear magnetic resonance (1H-NMR) spectroscopy will be used to identify metabolites in biospecimens associated with dietary intake. ETHICS AND DISSEMINATION This study is approved by the Hunter New England Human Research Ethics Committee (HNEHREC; 2022/ETH01649) and the University of Newcastle's Human Research Ethics Committee (HREC; H-2022-0330). Findings will be disseminated to study participants, funding bodies supporting the DQFS, peer-review publications and presented at scientific conferences within the field of research. TRIAL REGISTRATION NUMBER Australian New Zealand Clinical Trials Registry (ACTRN12622001321730).
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Affiliation(s)
- Jessica Jayne Anne Ferguson
- School of Health Sciences, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Erin Clarke
- School of Health Sciences, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Jordan Stanford
- School of Health Sciences, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Tracy Burrows
- School of Health Sciences, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Lisa Wood
- School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Immune Health Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Clare Collins
- School of Health Sciences, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
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Noerman S, Landberg R. Blood metabolite profiles linking dietary patterns with health-Toward precision nutrition. J Intern Med 2023; 293:408-432. [PMID: 36484466 DOI: 10.1111/joim.13596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Diet is one of the most important exposures that may affect health throughout life span. Investigations on dietary patterns rather than single food components are gaining in popularity because they take the complexity of the whole dietary context into account. Adherence to such dietary patterns can be measured by using metabolomics, which allows measurements of thousands of molecules simultaneously. Derived metabolite signatures of dietary patterns may reflect the consumption of specific groups of foods or their constituents originating from the dietary pattern per se, or the physiological response toward the food-derived metabolites, their interaction with endogenous metabolism, and exogenous factors such as gut microbiota. Here, we review and discuss blood metabolite fingerprints of healthy dietary patterns. The plasma concentration of several food-derived metabolites-such as betaines from whole grains and n - 3 polyunsaturated fatty acids and furan fatty acids from fish-seems to consistently reflect the intake of common foods of several healthy dietary patterns. The metabolites reflecting shared features of different healthy food indices form biomarker panels for which specific, targeted assays could be developed. The specificity of such biomarker panels would need to be validated, and proof-of-concept feeding trials are needed to evaluate to what extent the panels may mediate the effects of dietary patterns on disease risk indicators or if they are merely food intake biomarkers. Metabolites mediating health effects may represent novel targets for precision prevention strategies of clinical relevance to be verified in future studies.
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Affiliation(s)
- Stefania Noerman
- Department of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, Gothenburg, Sweden
| | - Rikard Landberg
- Department of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, Gothenburg, Sweden
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Wang W, Liu Y, Li Y, Luo B, Lin Z, Chen K, Liu Y. Dietary patterns and cardiometabolic health: Clinical evidence and mechanism. MedComm (Beijing) 2023; 4:e212. [PMID: 36776765 PMCID: PMC9899878 DOI: 10.1002/mco2.212] [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: 11/03/2022] [Revised: 12/31/2022] [Accepted: 01/11/2023] [Indexed: 02/08/2023] Open
Abstract
For centuries, the search for nutritional interventions to underpin cardiovascular treatment and prevention guidelines has contributed to the rapid development of the field of dietary patterns and cardiometabolic disease (CMD). Numerous studies have demonstrated that healthy dietary patterns with emphasis on food-based recommendations are the gold standard for extending lifespan and reducing the risks of CMD and mortality. Healthy dietary patterns include various permutations of energy restriction, macronutrients, and food intake patterns such as calorie restriction, intermittent fasting, Mediterranean diet, plant-based diets, etc. Early implementation of healthy dietary patterns in patients with CMD is encouraged, but an understanding of the mechanisms by which these patterns trigger cardiometabolic benefits remains incomplete. Hence, this review examined several dietary patterns that may improve cardiometabolic health, including restrictive dietary patterns, regional dietary patterns, and diets based on controlled macronutrients and food groups, summarizing cutting-edge evidence and potential mechanisms for CMD prevention and treatment. Particularly, considering individual differences in responses to dietary composition and nutritional changes in organ tissue diversity, we highlighted the critical role of individual gut microbiota in the crosstalk between diet and CMD and recommend a more precise and dynamic nutritional strategy for CMD by developing dietary patterns based on individual gut microbiota profiles.
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Affiliation(s)
- Wenting Wang
- National Clinical Research Centre for Chinese Medicine Cardiology Xiyuan Hospital China Academy of Chinese Medical Sciences Beijing China
| | - Yanfei Liu
- National Clinical Research Centre for Chinese Medicine Cardiology Xiyuan Hospital China Academy of Chinese Medical Sciences Beijing China
| | - Yiwen Li
- National Clinical Research Centre for Chinese Medicine Cardiology Xiyuan Hospital China Academy of Chinese Medical Sciences Beijing China
| | - Binyu Luo
- National Clinical Research Centre for Chinese Medicine Cardiology Xiyuan Hospital China Academy of Chinese Medical Sciences Beijing China
| | - Zhixiu Lin
- Faculty of Medicine The Chinese University of Hong Kong Hong Kong
| | - Keji Chen
- National Clinical Research Centre for Chinese Medicine Cardiology Xiyuan Hospital China Academy of Chinese Medical Sciences Beijing China
| | - Yue Liu
- National Clinical Research Centre for Chinese Medicine Cardiology Xiyuan Hospital China Academy of Chinese Medical Sciences Beijing China
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Puhlmann ML, de Vos WM. Intrinsic dietary fibers and the gut microbiome: Rediscovering the benefits of the plant cell matrix for human health. Front Immunol 2022; 13:954845. [PMID: 36059540 PMCID: PMC9434118 DOI: 10.3389/fimmu.2022.954845] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 08/01/2022] [Indexed: 11/13/2022] Open
Abstract
Dietary fibers contribute to structure and storage reserves of plant foods and fundamentally impact human health, partly by involving the intestinal microbiota, notably in the colon. Considerable attention has been given to unraveling the interaction between fiber type and gut microbiota utilization, focusing mainly on single, purified fibers. Studying these fibers in isolation might give us insights into specific fiber effects, but neglects how dietary fibers are consumed daily and impact our digestive tract: as intrinsic structures that include the cell matrix and content of plant tissues. Like our ancestors we consume fibers that are entangled in a complex network of plants cell walls that further encapsulate and shield intra-cellular fibers, such as fructans and other components from immediate breakdown. Hence, the physiological behavior and consequent microbial breakdown of these intrinsic fibers differs from that of single, purified fibers, potentially entailing unexplored health effects. In this mini-review we explain the difference between intrinsic and isolated fibers and discuss their differential impact on digestion. Subsequently, we elaborate on how food processing influences intrinsic fiber structure and summarize available human intervention studies that used intrinsic fibers to assess gut microbiota modulation and related health outcomes. Finally, we explore current research gaps and consequences of the intrinsic plant tissue structure for future research. We postulate that instead of further processing our already (extensively) processed foods to create new products, we should minimize this processing and exploit the intrinsic health benefits that are associated with the original cell matrix of plant tissues.
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Affiliation(s)
- Marie-Luise Puhlmann
- Laboratory of Microbiology, Wageningen University & Research, Wageningen, Netherlands
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, Netherlands
- *Correspondence: Marie-Luise Puhlmann,
| | - Willem M. de Vos
- Laboratory of Microbiology, Wageningen University & Research, Wageningen, Netherlands
- Human Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
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