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Calderón-Pérez L, Escoté X, Companys J, Alcaide-Hidalgo JM, Bosch M, Rabassa M, Crescenti A, Valls RM, Pedret A, Solà R, Mariné R, Gil-Cardoso K, Rodríguez MA, Palacios H, Del Pino A, Guirro M, Canela N, Suñol D, Galofré M, Galmés S, Palou-March A, Serra F, Caimari A, Gutiérrez B, Del Bas JM. A single-blinded, randomized, parallel intervention to evaluate genetics and omics-based personalized nutrition in general population via an e-commerce tool: The PREVENTOMICS e-commerce study. Am J Clin Nutr 2024; 120:129-144. [PMID: 38960570 DOI: 10.1016/j.ajcnut.2024.04.004] [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: 09/26/2023] [Revised: 03/04/2024] [Accepted: 04/02/2024] [Indexed: 07/05/2024] Open
Abstract
BACKGROUND Personalized nutrition (PN) has been proposed as a strategy to increase the effectiveness of dietary recommendations and ultimately improve health status. OBJECTIVES We aimed to assess whether including omics-based PN in an e-commerce tool improves dietary behavior and metabolic profile in general population. METHODS A 21-wk parallel, single-blinded, randomized intervention involved 193 adults assigned to a control group following Mediterranean diet recommendations (n = 57, completers = 36), PN (n = 70, completers = 45), or personalized plan (PP, n = 68, completers = 53) integrating a behavioral change program with PN recommendations. The intervention used metabolomics, proteomics, and genetic data to assist participants in creating personalized shopping lists in a simulated e-commerce retailer portal. The primary outcome was the Mediterranean diet adherence screener (MEDAS) score; secondary outcomes included biometric and metabolic markers and dietary habits. RESULTS Volunteers were categorized with a scoring system based on biomarkers of lipid, carbohydrate metabolism, inflammation, oxidative stress, and microbiota, and dietary recommendations delivered accordingly in the PN and PP groups. The intervention significantly increased MEDAS scores in all volunteers (control-3 points; 95% confidence interval [CI]: 2.2, 3.8; PN-2.7 points; 95% CI: 2.0, 3.3; and PP-2.8 points; 95% CI: 2.1, 3.4; q < 0.001). No significant differences were observed in dietary habits or health parameters between PN and control groups after adjustment for multiple comparisons. Nevertheless, personalized recommendations significantly (false discovery rate < 0.05) and selectively enhanced the scores calculated with biomarkers of carbohydrate metabolism (β: -0.37; 95% CI: -0.56, -0.18), oxidative stress (β: -0.37; 95% CI: -0.60, -0.15), microbiota (β: -0.38; 95% CI: -0.63, -0.15), and inflammation (β: -0.78; 95% CI: -1.24, -0.31) compared with control diet. CONCLUSIONS Integration of personalized strategies within an e-commerce-like tool did not enhance adherence to Mediterranean diet or improved health markers compared with general recommendations. The metabotyping approach showed promising results and more research is guaranteed to further promote its application in PN. This trial was registered at clinicaltrials.gov as NCT04641559 (https://clinicaltrials.gov/study/NCT04641559?cond=NCT04641559&rank=1).
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Affiliation(s)
| | - Xavier Escoté
- Eurecat, Centre Tecnològic de Catalunya, Nutrition and Health Unit, Reus, Spain
| | - Judit Companys
- Eurecat, Centre Tecnològic de Catalunya, Nutrition and Health Unit, Reus, Spain
| | | | - Mireia Bosch
- Eurecat, Centre Tecnològic de Catalunya, Nutrition and Health Unit, Reus, Spain
| | - Montserrat Rabassa
- Eurecat, Centre Tecnològic de Catalunya, Nutrition and Health Unit, Reus, Spain; Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Nutrition and Food Safety Research Institute (INSA), Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de Barcelona (UB), Barcelona, Spain
| | - Anna Crescenti
- Eurecat, Centre Tecnològic de Catalunya, Nutrition and Health Unit, Reus, Spain
| | - Rosa M Valls
- Functional Nutrition, Oxidation and Cardiovascular Diseases Group (NFOC-Salut), Facultat de Medicina i Ciències de la Salut, Universitat Rovira i Virgili, Reus, Spain
| | - Anna Pedret
- Functional Nutrition, Oxidation and Cardiovascular Diseases Group (NFOC-Salut), Facultat de Medicina i Ciències de la Salut, Universitat Rovira i Virgili, Reus, Spain
| | - Rosa Solà
- Functional Nutrition, Oxidation and Cardiovascular Diseases Group (NFOC-Salut), Facultat de Medicina i Ciències de la Salut, Universitat Rovira i Virgili, Reus, Spain; Internal Medicine Service, Hospital Universitari Sant Joan de Reus, Reus, Spain
| | - Roger Mariné
- Eurecat, Centre Tecnològic de Catalunya, Nutrition and Health Unit, Reus, Spain
| | | | - Miguel A Rodríguez
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Reus, Spain
| | - Héctor Palacios
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Reus, Spain
| | - Antoni Del Pino
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Reus, Spain
| | - María Guirro
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Reus, Spain
| | - Núria Canela
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Reus, Spain
| | - David Suñol
- Eurecat, Centre Tecnològic de Catalunya, Digital Health, Barcelona, Spain
| | - Mar Galofré
- Eurecat, Centre Tecnològic de Catalunya, Digital Health, Barcelona, Spain
| | - Sebastià Galmés
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics, Biomarkers and Risk Evaluation - NuBE), University of the Balearic Islands, Palma, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain; Centro de investigación Biomédica en red de Fisiopatología de la obesidad y nutrición, Instituto de Salud Carlos III, Madrid, Spain; Alimentómica S.L. Camí de na Pontons, Campanet, Spain
| | - Andreu Palou-March
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics, Biomarkers and Risk Evaluation - NuBE), University of the Balearic Islands, Palma, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain; Centro de investigación Biomédica en red de Fisiopatología de la obesidad y nutrición, Instituto de Salud Carlos III, Madrid, Spain; Alimentómica S.L. Camí de na Pontons, Campanet, Spain
| | - Francisca Serra
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics, Biomarkers and Risk Evaluation - NuBE), University of the Balearic Islands, Palma, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain; Centro de investigación Biomédica en red de Fisiopatología de la obesidad y nutrición, Instituto de Salud Carlos III, Madrid, Spain; Alimentómica S.L. Camí de na Pontons, Campanet, Spain
| | - Antoni Caimari
- Eurecat, Centre Tecnològic de Catalunya, Biotechnology Area, Reus, Spain
| | - Biotza Gutiérrez
- Eurecat, Centre Tecnològic de Catalunya, Biotechnology Area, Reus, Spain
| | - Josep M Del Bas
- Eurecat, Centre Tecnològic de Catalunya, Biotechnology Area, Reus, Spain.
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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 2024:10.1007/s13668-024-00550-y. [PMID: 38806863 DOI: 10.1007/s13668-024-00550-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [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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Park I, Nam H, Lee Y, Wickramasuriya SS, Smith AH, Rehberger TG, Lillehoj HS. The effect of gut microbiota-derived carnosine on mucosal integrity and immunity in broiler chickens challenged with Eimeria maxima. Poult Sci 2024; 103:103837. [PMID: 38848630 PMCID: PMC11214313 DOI: 10.1016/j.psj.2024.103837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 04/22/2024] [Accepted: 05/04/2024] [Indexed: 06/09/2024] Open
Abstract
In the first study, an in vitro culture system was developed to investigate the effects of carnosine on macrophage proinflammatory cytokine response using an established chicken macrophage cell line (CMC), gut integrity using a chicken intestinal epithelial cell line (IEC), muscle differentiation in quail muscle cells (QMCs) and primary chicken embryonic muscle cells (PMCs), and direct anti-parasitic effect against Eimeria maxima sporozoites. Cells to be tested were seeded in 24-well plates and treated with carnosine at 4 different concentrations (0.1, 1.0, and 10.0 µg). After 18 h of incubation, cells were harvested to measure gene expression of proinflammatory cytokines in CMC, tight junction (TJ) proteins in IECs, and muscle cell growth markers in QMCs and PMCs. In vivo trials were conducted to investigate the effect of dietary carnosine on disease parameters in broiler chickens challenged with E. maxima. One hundred and twenty male broiler chickens (0-day-old) were allocated into 4 treatment groups: 1) basal diet without infection (NC), 2) basal diet with E. maxima infection (PC), 3) carnosine at 10.0 mg/kg feed with PC (HCS), and 4) carnosine at 1.0 mg/kg feed with PC (LCS). All groups except NC were orally infected with E. maxima on d 14. Jejunal samples were collected for lesion scoring and jejunum gut tissues were used for transcriptomic analysis of cytokines and TJ proteins. In vitro, carnosine treatment significantly decreased IL-1β gene expression in CMC following LPS stimulation. In vivo feeding studies showed that dietary carnosine increased BW and ADG of chickens in E. maxima-infected groups and reduced the jejunal lesion score and fecal oocyst shedding in HCS group. Jejunal IL-1β, IL-8, and IFN-γ expression were suppressed in the HCS group compared to PC. The expression levels of claudin-1 and occludin in IECs were also increased in HCS following carnosine treatment. In conclusion, these findings highlight the beneficial effects of dietary carnosine supplementation on intestinal immune responses and gut barrier function in broiler chickens exposed to E. maxima infection.
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Affiliation(s)
- Inkyung Park
- Animal Bioscience and Biotechnology Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, USDA, MD 20705, USA
| | - Hyoyoun Nam
- Animal Bioscience and Biotechnology Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, USDA, MD 20705, USA
| | - Youngsub Lee
- Animal Bioscience and Biotechnology Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, USDA, MD 20705, USA
| | - Samiru S Wickramasuriya
- Animal Bioscience and Biotechnology Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, USDA, MD 20705, USA
| | | | | | - Hyun S Lillehoj
- Animal Bioscience and Biotechnology Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, USDA, MD 20705, USA.
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Agrawal P, Kaur J, Singh J, Rasane P, Sharma K, Bhadariya V, Kaur S, Kumar V. Genetics, Nutrition, and Health: A New Frontier in Disease Prevention. JOURNAL OF THE AMERICAN NUTRITION ASSOCIATION 2024; 43:326-338. [PMID: 38015713 DOI: 10.1080/27697061.2023.2284997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 11/14/2023] [Indexed: 11/30/2023]
Abstract
The field of nutrition research has traditionally focused on the effects of macronutrients and micronutrients on the body. However, it has become evident that individuals have unique genetic makeups that influence their response to food. Nutritional genomics, which includes nutrigenetics and nutrigenomics, explores the interaction between an individual's genetic makeup, diet, and health outcomes. Nutrigenetics studies the impact of genetic variation on an individual's response to dietary nutrients, while nutrigenomics investigates how dietary components affect gene regulation and expression. These disciplines seek to understand the impact of diet on the genome, transcriptome, proteome, and metabolome. It provides insights into the mechanisms underlying the effect of diet on gene expression. Nutrients can cause the modification of genetic expression through epigenetic changes, such as DNA methylation and histone modifications. The aim of nutrigenomics is to create personalized diets based on the unique metabolic profile of an individual, gut microbiome, and genetic makeup to prevent diseases and promote health. Nutrigenomics has the potential to revolutionize the field of nutrition by combining the practicality of personalized nutrition with knowledge of genetic factors underlying health and disease. Thus, nutrigenomics offers a promising approach to improving health outcomes (in terms of disease prevention) through personalized nutrition strategies based on an individual's genetic and metabolic characteristics.
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Affiliation(s)
- Piyush Agrawal
- Department of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, India
| | - Jaspreet Kaur
- Department of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, India
| | - Jyoti Singh
- Department of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, India
| | - Prasad Rasane
- Department of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, India
| | - Kartik Sharma
- Faculty of Agro-Industry, Prince of Songkla University, Songkla, Thailand
| | - Vishesh Bhadariya
- School of Chemical Engineering, Oklahoma State University, Stillwater, Oklahoma, USA
| | - Sawinder Kaur
- Department of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, India
| | - Vikas Kumar
- Department of Food Science and Technology, Punjab Agricultural University, Ludhiana, India
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5
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Mehta NH, Huey SL, Kuriyan R, Peña-Rosas JP, Finkelstein JL, Kashyap S, Mehta S. Potential Mechanisms of Precision Nutrition-Based Interventions for Managing Obesity. Adv Nutr 2024; 15:100186. [PMID: 38316343 PMCID: PMC10914563 DOI: 10.1016/j.advnut.2024.100186] [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: 09/20/2023] [Revised: 01/17/2024] [Accepted: 02/01/2024] [Indexed: 02/07/2024] Open
Abstract
Precision nutrition (PN) considers multiple individual-level and environmental characteristics or variables to better inform dietary strategies and interventions for optimizing health, including managing obesity and metabolic disorders. Here, we review the evidence on potential mechanisms-including ones to identify individuals most likely to respond-that can be leveraged in the development of PN interventions addressing obesity. We conducted a review of the literature and included laboratory, animal, and human studies evaluating biochemical and genetic data, completed and ongoing clinical trials, and public programs in this review. Our analysis describes the potential mechanisms related to 6 domains including genetic predisposition, circadian rhythms, physical activity and sedentary behavior, metabolomics, the gut microbiome, and behavioral and socioeconomic characteristics, i.e., the factors that can be leveraged to design PN-based interventions to prevent and treat obesity-related outcomes such as weight loss or metabolic health as laid out by the NIH 2030 Strategic Plan for Nutrition Research. For example, single nucleotide polymorphisms can modify responses to certain dietary interventions, and epigenetic modulation of obesity risk via physical activity patterns and macronutrient intake have also been demonstrated. Additionally, we identified limitations including questions of equitable implementation across a limited number of clinical trials. These include the limited ability of current PN interventions to address systemic influences such as supply chains and food distribution, healthcare systems, racial or cultural inequities, and economic disparities, particularly when designing and implementing PN interventions in low- and middle-income communities. PN has the potential to help manage obesity by addressing intra- and inter-individual variation as well as context, as opposed to "one-size fits all" approaches though there is limited clinical trial evidence to date.
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Affiliation(s)
- Neel H Mehta
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States
| | - Samantha L Huey
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States; Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, United States
| | - Rebecca Kuriyan
- Division of Nutrition, St. John's Research Institute, Bengaluru, Karnataka, India
| | - Juan Pablo Peña-Rosas
- Global Initiatives, The Department of Nutrition and Food Safety, World Health Organization, Geneva, Switzerland
| | - Julia L Finkelstein
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States; Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, United States; Division of Nutrition, St. John's Research Institute, Bengaluru, Karnataka, India
| | - Sangeeta Kashyap
- Division of Endocrinology, Diabetes and Metabolism, Weill Cornell Medicine New York Presbyterian, New York, NY, United States
| | - Saurabh Mehta
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States; Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, United States; Division of Medical Informatics, St. John's Research Institute, Bengaluru, Karnataka, India.
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Unión-Caballero A, Meroño T, Zamora-Ros R, Rostgaard-Hansen AL, Miñarro A, Sánchez-Pla A, Estanyol-Torres N, Martínez-Huelamo M, Cubedo M, González-Domínguez R, Tjønneland A, Riccardi G, Landberg R, Halkjær J, Andrés-Lacueva C. Metabolome biomarkers linking dietary fibre intake with cardiometabolic effects: results from the Danish Diet, Cancer and Health-Next Generations MAX study. Food Funct 2024; 15:1643-1654. [PMID: 38247399 DOI: 10.1039/d3fo04763f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
Biomarkers associated with dietary fibre intake, as complements to traditional dietary assessment tools, may improve the understanding of its role in human health. Our aim was to discover metabolite biomarkers related to dietary fibre intake and investigate their association with cardiometabolic risk factors. We used data and samples from the Danish Diet Cancer and Health Next Generation (DCH-NG) MAX-study, a one-year observational study with evaluations at baseline, six and 12 months (n = 624, 55% female, mean age: 43 years, 1353 observations). Direct associations between fibre intake and plasma concentrations of 2,6-dihydroxybenzoic acid (2,6-DHBA) and indolepropionic acid were observed at the three time-points. Both metabolites showed an intraclass-correlation coefficient (ICC) > 0.50 and were associated with the self-reported intake of wholegrain cereals, and of fruits and vegetables, respectively. Other metabolites associated with dietary fibre intake were linolenoyl carnitine, 2-aminophenol, 3,4-DHBA, and proline betaine. Based on the metabolites associated with dietary fibre intake we calculated predicted values of fibre intake using a multivariate, machine-learning algorithm. Metabolomics-based predicted fibre, but not self-reported fibre values, showed negative associations with cardiometabolic risk factors (i.e. high sensitivity C-reactive protein, systolic and diastolic blood pressure, all FDR-adjusted p-values <0.05). Furthermore, different correlations with gut microbiota composition were observed. In conclusion, 2,6-DHBA and indolepropionic acid in plasma may better link dietary fibre intake with its metabolic effects than self-reported values. These metabolites may represent a novel class of biomarkers reflecting both dietary exposure and host and/or gut microbiota characteristics providing a read-out that is differentially related to cardiometabolic risk.
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Affiliation(s)
- Andrea Unión-Caballero
- Biomarkers and Nutrimetabolomics Laboratory, Department de Nutrició, Ciències de l'Alimentació I Gastronomia, Food Innovation Network (XIA), 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.
- CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Tomás Meroño
- Biomarkers and Nutrimetabolomics Laboratory, Department de Nutrició, Ciències de l'Alimentació I Gastronomia, Food Innovation Network (XIA), 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.
- CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Raúl Zamora-Ros
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), 08908 Barcelona, Spain
| | | | - Antonio Miñarro
- CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Genetics, Microbiology and Statistics, University of Barcelona, 08028, Barcelona, Spain
| | - Alex Sánchez-Pla
- CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Genetics, Microbiology and Statistics, University of Barcelona, 08028, Barcelona, Spain
| | - Núria Estanyol-Torres
- Biomarkers and Nutrimetabolomics Laboratory, Department de Nutrició, Ciències de l'Alimentació I Gastronomia, Food Innovation Network (XIA), 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.
| | - Miriam Martínez-Huelamo
- Biomarkers and Nutrimetabolomics Laboratory, Department de Nutrició, Ciències de l'Alimentació I Gastronomia, Food Innovation Network (XIA), 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.
- CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Marta Cubedo
- CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Genetics, Microbiology and Statistics, University of Barcelona, 08028, Barcelona, Spain
| | - Raúl González-Domínguez
- Biomarkers and Nutrimetabolomics Laboratory, Department de Nutrició, Ciències de l'Alimentació I Gastronomia, Food Innovation Network (XIA), 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.
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Strandboulevarden 49, DK 2100 Copenhagen, Denmark
| | - Gabrielle Riccardi
- Diabetes, Nutrition and Metabolism Unit, Department of Clinical Medicine and Surgery, Federico II University, 80138 Naples, Italy
| | - 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 Andrés-Lacueva
- Biomarkers and Nutrimetabolomics Laboratory, Department de Nutrició, Ciències de l'Alimentació I Gastronomia, Food Innovation Network (XIA), 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.
- CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain
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Sillé F, Hartung T. Metabolomics in Preclinical Drug Safety Assessment: Current Status and Future Trends. Metabolites 2024; 14:98. [PMID: 38392990 PMCID: PMC10890122 DOI: 10.3390/metabo14020098] [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: 12/13/2023] [Revised: 01/17/2024] [Accepted: 01/27/2024] [Indexed: 02/25/2024] Open
Abstract
Metabolomics is emerging as a powerful systems biology approach for improving preclinical drug safety assessment. This review discusses current applications and future trends of metabolomics in toxicology and drug development. Metabolomics can elucidate adverse outcome pathways by detecting endogenous biochemical alterations underlying toxicity mechanisms. Furthermore, metabolomics enables better characterization of human environmental exposures and their influence on disease pathogenesis. Metabolomics approaches are being increasingly incorporated into toxicology studies and safety pharmacology evaluations to gain mechanistic insights and identify early biomarkers of toxicity. However, realizing the full potential of metabolomics in regulatory decision making requires a robust demonstration of reliability through quality assurance practices, reference materials, and interlaboratory studies. Overall, metabolomics shows great promise in strengthening the mechanistic understanding of toxicity, enhancing routine safety screening, and transforming exposure and risk assessment paradigms. Integration of metabolomics with computational, in vitro, and personalized medicine innovations will shape future applications in predictive toxicology.
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Affiliation(s)
- Fenna Sillé
- Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health and Whiting School of Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Thomas Hartung
- Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health and Whiting School of Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
- CAAT-Europe, University of Konstanz, Universitätsstraße 10, 78464 Konstanz, Germany
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Yang Y, Fan B, Mu Y, Li Y, Tong L, Wang L, Liu L, Li M, Sun P, Sun J, Wang F. A comparative metabolomics study of polyphenols in highland barley (Hordeum vulgare L.) grains with different colors. Food Res Int 2023; 174:113672. [PMID: 37981367 DOI: 10.1016/j.foodres.2023.113672] [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: 08/14/2023] [Revised: 11/01/2023] [Accepted: 11/03/2023] [Indexed: 11/21/2023]
Abstract
Highland barley (HB) grains are gaining increasing popularity owing to their high nutritional merits. However, only limited information is available on the metabolic profiles of HB grains polyphenols, especially the difference of polyphenols in different colors of HB. In this study, we determined the metabolic profiles of black, blue, and white HB grains via an ultra-performance liquid chromatography-electrospray ionization-tandem mass spectrometry (UPLC-ESI-MS/MS)-based metabolomics. A total of 402 metabolites were identified, among which 198, 62, and 189 metabolites displayed different accumulation patterns in the three comparison groups (WHB vs. BKHB, WHB vs. BEHB, BEHB vs. BKHB), respectively. In particular, flavonoids and phenolic acids contents displayed considerable differences among the three HB cultivars. The phenolics content of black HB was relatively high. Additionally, "Flavonoid biosynthesis" and "flavone and flavonol biosynthesis" were the significantly enriched pathways. In conclusion, this study provides comprehensive insights into the adequate utilization and development of novel HB-based functional foods.
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Affiliation(s)
- Yang Yang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China; Institute of Western Agriculture, Chinese Academy of Agricultural Sciences, Changji 831100, China; College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China; Qingdao Special Food Research Institute, Qingdao 266109, China
| | - Bei Fan
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China; Institute of Western Agriculture, Chinese Academy of Agricultural Sciences, Changji 831100, China
| | - Yuwen Mu
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Yang Li
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China
| | - Litao Tong
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Lili Wang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Liya Liu
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Minmin Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Peipei Sun
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Jing Sun
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.
| | - Fengzhong Wang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.
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9
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Antwi J. Precision Nutrition to Improve Risk Factors of Obesity and Type 2 Diabetes. Curr Nutr Rep 2023; 12:679-694. [PMID: 37610590 PMCID: PMC10766837 DOI: 10.1007/s13668-023-00491-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: 08/07/2023] [Indexed: 08/24/2023]
Abstract
PURPOSE OF REVIEW Existing dietary and lifestyle interventions and recommendations, to improve the risk factors of obesity and type 2 diabetes with the target to mitigate this double global epidemic, have produced inconsistent results due to interpersonal variabilities in response to these conventional approaches, and inaccuracies in dietary assessment methods. Precision nutrition, an emerging strategy, tailors an individual's key characteristics such as diet, phenotype, genotype, metabolic biomarkers, and gut microbiome for personalized dietary recommendations to optimize dietary response and health. Precision nutrition is suggested to be an alternative and potentially more effective strategy to improve dietary intake and prevention of obesity and chronic diseases. The purpose of this narrative review is to synthesize the current research and examine the state of the science regarding the effect of precision nutrition in improving the risk factors of obesity and type 2 diabetes. RECENT FINDINGS The results of the research review indicate to a large extent significant evidence supporting the effectiveness of precision nutrition in improving the risk factors of obesity and type 2 diabetes. Deeper insights and further rigorous research into the diet-phenotype-genotype and interactions of other components of precision nutrition may enable this innovative approach to be adapted in health care and public health to the special needs of individuals. Precision nutrition provides the strategy to make individualized dietary recommendations by integrating genetic, phenotypic, nutritional, lifestyle, medical, social, and other pertinent characteristics about individuals, as a means to address the challenges of generalized dietary recommendations. The evidence presented in this review shows that precision nutrition markedly improves risk factors of obesity and type 2 diabetes, particularly behavior change.
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Affiliation(s)
- Janet Antwi
- Department of Agriculture, Nutrition and Human Ecology, Prairie View A&M University, Prairie View, USA.
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10
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Wang TW, Tan J, Li LY, Yang Y, Zhang XM, Wang JR. Combined analysis of inorganic elements and flavonoid metabolites reveals the relationship between flower quality and maturity of Sophora japonica L. FRONTIERS IN PLANT SCIENCE 2023; 14:1255637. [PMID: 38046598 PMCID: PMC10691490 DOI: 10.3389/fpls.2023.1255637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 10/30/2023] [Indexed: 12/05/2023]
Abstract
Flos Sophorae (FS), or the dried flower buds of Sophora japonica L., is widely used as a food and medicinal material in China. The quality of S. japonica flowers varies with the developmental stages (S1-S5) of the plant. However, the relationship between FS quality and maturity remains unclear. Inductively coupled plasma optical emission spectrometry (ICP-OES) and ultra-high performance liquid chromatography coupled with electrospray ionization-triple quadrupole-linear ion trap mass spectrometry (UPLC-ESI-Q TRAP-MS/MS) were used to analyze inorganic elements and flavonoid metabolites, respectively. A combined analysis of the inorganic elements and flavonoid metabolites in FS was conducted to determine the patterns of FS quality formation. Sixteen inorganic elements and 173 flavonoid metabolites that accumulated at different developmental stages were identified. Notably, 54 flavonoid metabolites associated with the amelioration of major human diseases were identified, and Ca, P, K, Fe, and Cu were postulated to influence flavonoid metabolism and synthesis. This study offers a novel perspective and foundation for the further exploration of the rules governing the quality of plant materials.
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Affiliation(s)
- Tian-Wang Wang
- Three Grade Laboratory of Chinese Medicine Chemistry, Chongqing Academy of Chinese Materia Medica, Chongqing, China
- Chongqing Sub-Center of National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Chongqing, China
| | - Jun Tan
- Three Grade Laboratory of Chinese Medicine Chemistry, Chongqing Academy of Chinese Materia Medica, Chongqing, China
- Chongqing Sub-Center of National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Chongqing, China
| | - Long-Yun Li
- Three Grade Laboratory of Chinese Medicine Chemistry, Chongqing Academy of Chinese Materia Medica, Chongqing, China
- Chongqing Sub-Center of National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Chongqing, China
| | - Yong Yang
- Three Grade Laboratory of Chinese Medicine Chemistry, Chongqing Academy of Chinese Materia Medica, Chongqing, China
| | - Xiao-Mei Zhang
- Three Grade Laboratory of Chinese Medicine Chemistry, Chongqing Academy of Chinese Materia Medica, Chongqing, China
| | - Ji-Rui Wang
- Three Grade Laboratory of Chinese Medicine Chemistry, Chongqing Academy of Chinese Materia Medica, Chongqing, China
- Chongqing Sub-Center of National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Chongqing, China
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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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Fujimori ASS, Ribeiro APD, Pereira AG, Dias-Audibert FL, Tonon CR, dos Santos PP, Dantas D, Zanati SG, Catharino RR, Zornoff LAM, Azevedo PS, de Paiva SAR, Okoshi MP, Lima EO, Polegato BF. Effects of Pera Orange Juice and Moro Orange Juice in Healthy Rats: A Metabolomic Approach. Metabolites 2023; 13:902. [PMID: 37623846 PMCID: PMC10456557 DOI: 10.3390/metabo13080902] [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: 06/29/2023] [Revised: 07/18/2023] [Accepted: 07/25/2023] [Indexed: 08/26/2023] Open
Abstract
Cardiovascular disease is a leading cause of death worldwide. Heart failure is a cardiovascular disease with high prevalence, morbidity, and mortality. Several natural compounds have been studied for attenuating pathological cardiac remodeling. Orange juice has been associated with cardiovascular disease prevention by attenuating oxidative stress. However, most studies have evaluated isolated phytochemicals rather than whole orange juice and usually under pathological conditions. In this study, we evaluated plasma metabolomics in healthy rats receiving Pera or Moro orange juice to identify possible metabolic pathways and their effects on the heart. METHODS Sixty male Wistar rats were allocated into 3 groups: control (C), Pera orange juice (PO), and Moro orange juice (MO). PO and MO groups received Pera orange juice or Moro orange juice, respectively, and C received water with maltodextrin (100 g/L). Echocardiogram and euthanasia were performed after 4 weeks. Plasma metabolomic analysis was performed by high-resolution mass spectrometry. Type I collagen was evaluated in picrosirius red-stained slides and matrix metalloproteinase (MMP)-2 activity by zymography. MMP-9, tissue inhibitor of metalloproteinase (TIMP)-2, TIMP-4, type I collagen, and TNF-α protein expression were evaluated by Western blotting. RESULTS We differentially identified three metabolites in PO (N-docosahexaenoyl-phenylalanine, diglyceride, and phosphatidylethanolamine) and six in MO (N-formylmaleamic acid, N2-acetyl-L-ornithine, casegravol isovalerate, abscisic alcohol 11-glucoside, cyclic phosphatidic acid, and torvoside C), compared to controls, which are recognized for their possible roles in cardiac remodeling, such as extracellular matrix regulation, inflammation, oxidative stress, and membrane integrity. Cardiac function, collagen level, MMP-2 activity, and MMP-9, TIMP-2, TIMP-4, type I collagen, and TNF-α protein expression did not differ between groups. CONCLUSION Ingestion of Pera and Moro orange juice induces changes in plasma metabolites related to the regulation of extracellular matrix, inflammation, oxidative stress, and membrane integrity in healthy rats. Moro orange juice induces a larger number of differentially expressed metabolites than Pera orange juice. Alterations in plasma metabolomics induced by both orange juice are not associated with modifications in cardiac extracellular matrix components. Our results allow us to postulate that orange juice may have beneficial effects on pathological cardiac remodeling.
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Affiliation(s)
- Anderson S. S. Fujimori
- Internal Medicine Department, Botucatu Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.S.S.F.); (A.P.D.R.); (A.G.P.); (C.R.T.); (P.P.d.S.); (D.D.); (S.G.Z.); (L.A.M.Z.); (P.S.A.); (S.A.R.d.P.); (M.P.O.); (E.O.L.)
| | - Ana P. D. Ribeiro
- Internal Medicine Department, Botucatu Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.S.S.F.); (A.P.D.R.); (A.G.P.); (C.R.T.); (P.P.d.S.); (D.D.); (S.G.Z.); (L.A.M.Z.); (P.S.A.); (S.A.R.d.P.); (M.P.O.); (E.O.L.)
| | - Amanda G. Pereira
- Internal Medicine Department, Botucatu Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.S.S.F.); (A.P.D.R.); (A.G.P.); (C.R.T.); (P.P.d.S.); (D.D.); (S.G.Z.); (L.A.M.Z.); (P.S.A.); (S.A.R.d.P.); (M.P.O.); (E.O.L.)
| | - Flávia L. Dias-Audibert
- Innovare Biomarkers Laboratory, School of Pharmaceutical Sciences, University of Campinas, Campinas 13083-970, Brazil; (F.L.D.-A.); (R.R.C.)
| | - Carolina R. Tonon
- Internal Medicine Department, Botucatu Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.S.S.F.); (A.P.D.R.); (A.G.P.); (C.R.T.); (P.P.d.S.); (D.D.); (S.G.Z.); (L.A.M.Z.); (P.S.A.); (S.A.R.d.P.); (M.P.O.); (E.O.L.)
| | - Priscila P. dos Santos
- Internal Medicine Department, Botucatu Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.S.S.F.); (A.P.D.R.); (A.G.P.); (C.R.T.); (P.P.d.S.); (D.D.); (S.G.Z.); (L.A.M.Z.); (P.S.A.); (S.A.R.d.P.); (M.P.O.); (E.O.L.)
| | - Danielle Dantas
- Internal Medicine Department, Botucatu Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.S.S.F.); (A.P.D.R.); (A.G.P.); (C.R.T.); (P.P.d.S.); (D.D.); (S.G.Z.); (L.A.M.Z.); (P.S.A.); (S.A.R.d.P.); (M.P.O.); (E.O.L.)
| | - Silmeia G. Zanati
- Internal Medicine Department, Botucatu Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.S.S.F.); (A.P.D.R.); (A.G.P.); (C.R.T.); (P.P.d.S.); (D.D.); (S.G.Z.); (L.A.M.Z.); (P.S.A.); (S.A.R.d.P.); (M.P.O.); (E.O.L.)
| | - Rodrigo R. Catharino
- Innovare Biomarkers Laboratory, School of Pharmaceutical Sciences, University of Campinas, Campinas 13083-970, Brazil; (F.L.D.-A.); (R.R.C.)
| | - Leonardo A. M. Zornoff
- Internal Medicine Department, Botucatu Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.S.S.F.); (A.P.D.R.); (A.G.P.); (C.R.T.); (P.P.d.S.); (D.D.); (S.G.Z.); (L.A.M.Z.); (P.S.A.); (S.A.R.d.P.); (M.P.O.); (E.O.L.)
| | - Paula S. Azevedo
- Internal Medicine Department, Botucatu Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.S.S.F.); (A.P.D.R.); (A.G.P.); (C.R.T.); (P.P.d.S.); (D.D.); (S.G.Z.); (L.A.M.Z.); (P.S.A.); (S.A.R.d.P.); (M.P.O.); (E.O.L.)
| | - Sergio A. R. de Paiva
- Internal Medicine Department, Botucatu Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.S.S.F.); (A.P.D.R.); (A.G.P.); (C.R.T.); (P.P.d.S.); (D.D.); (S.G.Z.); (L.A.M.Z.); (P.S.A.); (S.A.R.d.P.); (M.P.O.); (E.O.L.)
| | - Marina P. Okoshi
- Internal Medicine Department, Botucatu Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.S.S.F.); (A.P.D.R.); (A.G.P.); (C.R.T.); (P.P.d.S.); (D.D.); (S.G.Z.); (L.A.M.Z.); (P.S.A.); (S.A.R.d.P.); (M.P.O.); (E.O.L.)
| | - Estela O. Lima
- Internal Medicine Department, Botucatu Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.S.S.F.); (A.P.D.R.); (A.G.P.); (C.R.T.); (P.P.d.S.); (D.D.); (S.G.Z.); (L.A.M.Z.); (P.S.A.); (S.A.R.d.P.); (M.P.O.); (E.O.L.)
| | - Bertha F. Polegato
- Internal Medicine Department, Botucatu Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.S.S.F.); (A.P.D.R.); (A.G.P.); (C.R.T.); (P.P.d.S.); (D.D.); (S.G.Z.); (L.A.M.Z.); (P.S.A.); (S.A.R.d.P.); (M.P.O.); (E.O.L.)
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Duncanson K, Tikhe D, Williams GM, Talley NJ. Irritable bowel syndrome - controversies in diagnosis and management. Expert Rev Gastroenterol Hepatol 2023; 17:649-663. [PMID: 37317843 DOI: 10.1080/17474124.2023.2223975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 06/07/2023] [Indexed: 06/16/2023]
Abstract
INTRODUCTION The irritable bowel syndrome (IBS) is the best-recognized disorder of gut brain interactions (DGBI). However, it is controversial if the Rome IV criteria iteration for IBS diagnosis is fit for purpose. AREAS COVERED This review critically evaluates Rome IV criteria for diagnosis of IBS and addresses clinical considerations in IBS treatment and management, including dietary factors, biomarkers, disease mimics, symptom severity, and subtypes. The role of diet in IBS is critically reviewed along with the influence of the microbiota, including small intestinal bacterial overgrowth. EXPERT OPINION Emerging data suggest the Rome IV criteria are more suitable for identifying severe IBS and least useful for sub-diagnostic patients who are still likely to benefit from IBS treatment. Despite convincing evidence that IBS symptoms are diet-driven and often postprandial, a relationship to eating is not a Rome IV diagnostic criterion. Few IBS biomarkers have been identified, suggesting the syndrome is too heterogeneous to be measured by a single marker, and combined biomarker, clinical, dietary, and microbial profiling may be needed for objective characterization. With many organic diseases mimicking and overlapping with IBS, it's important clinicians are knowledgable about this to mitigate the risk of missing comorbid organic intestinal disease and to optimally treat IBS symptoms.
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Affiliation(s)
- Kerith Duncanson
- School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia
- Centre of Research Excellence in Digestive Health, The University of Newcastle, New Lambton Heights, NSW, Australia
- Immune Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Dhanashree Tikhe
- Centre of Research Excellence in Digestive Health, The University of Newcastle, New Lambton Heights, NSW, Australia
- Department of Gastroenterology, John Hunter Hospital, Hunter New England Local Health District, New Lambton Heights, NSW, Australia
| | - Georgina M Williams
- School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia
- Centre of Research Excellence in Digestive Health, The University of Newcastle, New Lambton Heights, NSW, Australia
- Immune Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Nicholas J Talley
- School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia
- Centre of Research Excellence in Digestive Health, The University of Newcastle, New Lambton Heights, NSW, Australia
- Immune Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Department of Gastroenterology, John Hunter Hospital, Hunter New England Local Health District, New Lambton Heights, NSW, Australia
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14
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Navarro SL, Nagana Gowda GA, Bettcher LF, Pepin R, Nguyen N, Ellenberger M, Zheng C, Tinker LF, Prentice RL, Huang Y, Yang T, Tabung FK, Chan Q, Loo RL, Liu S, Wactawski-Wende J, Lampe JW, Neuhouser ML, Raftery D. Demographic, Health and Lifestyle Factors Associated with the Metabolome in Older Women. Metabolites 2023; 13:metabo13040514. [PMID: 37110172 PMCID: PMC10143141 DOI: 10.3390/metabo13040514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/17/2023] [Accepted: 03/23/2023] [Indexed: 04/07/2023] Open
Abstract
Demographic and clinical factors influence the metabolome. The discovery and validation of disease biomarkers are often challenged by potential confounding effects from such factors. To address this challenge, we investigated the magnitude of the correlation between serum and urine metabolites and demographic and clinical parameters in a well-characterized observational cohort of 444 post-menopausal women participating in the Women’s Health Initiative (WHI). Using LC-MS and lipidomics, we measured 157 aqueous metabolites and 756 lipid species across 13 lipid classes in serum, along with 195 metabolites detected by GC-MS and NMR in urine and evaluated their correlations with 29 potential disease risk factors, including demographic, dietary and lifestyle factors, and medication use. After controlling for multiple testing (FDR < 0.01), we found that log-transformed metabolites were mainly associated with age, BMI, alcohol intake, race, sample storage time (urine only), and dietary supplement use. Statistically significant correlations were in the absolute range of 0.2–0.6, with the majority falling below 0.4. Incorporation of important potential confounding factors in metabolite and disease association analyses may lead to improved statistical power as well as reduced false discovery rates in a variety of data analysis settings.
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Affiliation(s)
- Sandi L. Navarro
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - G. A. Nagana Gowda
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98109, USA
| | - Lisa F. Bettcher
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98109, USA
| | - Robert Pepin
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98109, USA
| | - Natalie Nguyen
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98109, USA
| | - Mathew Ellenberger
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98109, USA
| | - Cheng Zheng
- Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Lesley F. Tinker
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Ross L. Prentice
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Ying Huang
- Biostatistics Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Tao Yang
- School of Public Health, Xinjiang Medical University, Urumqi 830011, China
| | - Fred K. Tabung
- Department of Internal Medicine, Division of Medical Oncology, College of Medicine and Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Queenie Chan
- School of Public Health, Imperial College of London, London SW7 2AZ, UK
| | - Ruey Leng Loo
- Australian National Phenome Centre, Health Futures Institute, Murdoch University, Murdoch, WA 6150, Australia
| | - Simin Liu
- Center for Global Cardiometabolic Health, Department of Epidemiology, School of Public Health, Providence, RI 02912, USA
- Department of Medicine and Surgery, Alpert School of Medicine, Brown University, Providence, RI 02903, USA
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY 14214, USA
| | - Johanna W. Lampe
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Marian L. Neuhouser
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Daniel Raftery
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98109, USA
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15
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Xu X, Lubomski M, Holmes AJ, Sue CM, Davis RL, Muller S, Yang JYH. NEMoE: a nutrition aware regularized mixture of experts model to identify heterogeneous diet-microbiome-host health interactions. MICROBIOME 2023; 11:51. [PMID: 36918961 PMCID: PMC10015776 DOI: 10.1186/s40168-023-01475-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 01/24/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Unrevealing the interplay between diet, the microbiome, and the health state could enable the design of personalized intervention strategies and improve the health and well-being of individuals. A common approach to this is to divide the study population into smaller cohorts based on dietary preferences in the hope of identifying specific microbial signatures. However, classification of patients based solely on diet is unlikely to reflect the microbiome-host health relationship or the taxonomic microbiome makeup. RESULTS We present a novel approach, the Nutrition-Ecotype Mixture of Experts (NEMoE) model, for establishing associations between gut microbiota and health state that accounts for diet-specific cohort variability using a regularized mixture of experts model framework with an integrated parameter sharing strategy to ensure data-driven diet-cohort identification consistency across taxonomic levels. The success of our approach was demonstrated through a series of simulation studies, in which NEMoE showed robustness with regard to parameter selection and varying degrees of data heterogeneity. Further application to real-world microbiome data from a Parkinson's disease cohort revealed that NEMoE is capable of not only improving predictive performance for Parkinson's Disease but also for identifying diet-specific microbial signatures of disease. CONCLUSION In summary, NEMoE can be used to uncover diet-specific relationships between nutritional-ecotype and patient health and to contextualize precision nutrition for different diseases. Video Abstract.
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Affiliation(s)
- Xiangnan Xu
- Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW, Australia
- School of Mathematics and Statistics, The University of Sydney, Camperdown, Sydney, NSW, Australia
| | - Michal Lubomski
- Department of Neurology, Royal North Shore Hospital, Northern Sydney Local Health District, St Leonards, NSW, Australia
- Department of Neurogenetics, Kolling Institute, Faculty of Medicine and Health, University of Sydney and Northern Sydney Local Health District, St Leonards, NSW, Australia
- The University of Notre Dame Australia, School of Medicine, Sydney, NSW, Australia
| | - Andrew J Holmes
- Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW, Australia
- School of Life and Environmental Sciences, University of Sydney, Camperdown, Sydney, NSW, Australia
| | - Carolyn M Sue
- Department of Neurology, Royal North Shore Hospital, Northern Sydney Local Health District, St Leonards, NSW, Australia
- Department of Neurogenetics, Kolling Institute, Faculty of Medicine and Health, University of Sydney and Northern Sydney Local Health District, St Leonards, NSW, Australia
| | - Ryan L Davis
- Department of Neurogenetics, Kolling Institute, Faculty of Medicine and Health, University of Sydney and Northern Sydney Local Health District, St Leonards, NSW, Australia
| | - Samuel Muller
- School of Mathematics and Statistics, The University of Sydney, Camperdown, Sydney, NSW, Australia
- Department of Mathematics and Statistics, Macquarie University, Sydney, NSW, 2109, Australia
| | - Jean Y H Yang
- Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW, Australia.
- School of Mathematics and Statistics, The University of Sydney, Camperdown, Sydney, NSW, Australia.
- Laboratory of Data Discovery for Health Limited (D24H), Science Park, Hong Kong, SAR, China.
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16
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Wellens J, Vissers E, Matthys C, Vermeire S, Sabino J. Personalized Dietary Regimens for Inflammatory Bowel Disease: Current Knowledge and Future Perspectives. Pharmgenomics Pers Med 2023; 16:15-27. [PMID: 36660362 PMCID: PMC9842524 DOI: 10.2147/pgpm.s359365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 01/06/2023] [Indexed: 01/13/2023] Open
Abstract
Inflammatory bowel diseases (IBD) are chronic and incurable conditions of the gastro-intestinal tract with an increasing incidence and prevalence worldwide. Common symptoms are abdominal pain, diarrhea, and weight loss. Despite recent advances in medical management, many patients fail to achieve clinical remission and healing of the mucosa of the bowel. The cause is thought to involve an inappropriate reaction of the immune system, the microbiome and the environment in genetically susceptible individuals, leading to chronic bowel inflammation. Evidence is emerging that diet is a key environmental factor that might influence disease onset and course, and therefore may become a therapeutic strategy to mitigate inflammation and symptoms. Since IBD is a heterogeneous disease on a clinical and a molecular level, personalizing dietary advice could be the crucial factor to achieve long-lasting changes in dietary behaviors that could not only improve nutritional status but also tackle gut inflammation and abdominal symptoms on an individual level. In this review, we first discuss different aspects of personalized nutrition, namely the level, focus, and scope of personalized dietary regimens. Then, we provide a framework for the different goals of nutritional therapy in IBD and current evidence for personalized dietary approaches. Lastly, we discuss the need for adequate trial designs, access to the right data types and the bioinformatic tools that are necessary to develop algorithms that will allow us to move from general "healthy eating" advice to truly personalized nutritional plans for the individual IBD patient.
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Affiliation(s)
- Judith Wellens
- KU Leuven Department of Chronic Diseases and Metabolism, Translational Research Center for Gastrointestinal Disorders (TARGID), Leuven, Belgium,Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium
| | - Eva Vissers
- KU Leuven Department of Chronic Diseases and Metabolism, Translational Research Center for Gastrointestinal Disorders (TARGID), Leuven, Belgium
| | - Christophe Matthys
- Clinical Nutrition Unit, Department of Endocrinology, University Hospitals Leuven, Leuven, Belgium,KU Leuven Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinology, Leuven, Belgium
| | - Séverine Vermeire
- KU Leuven Department of Chronic Diseases and Metabolism, Translational Research Center for Gastrointestinal Disorders (TARGID), Leuven, Belgium,Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium
| | - João Sabino
- KU Leuven Department of Chronic Diseases and Metabolism, Translational Research Center for Gastrointestinal Disorders (TARGID), Leuven, Belgium,Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium,Correspondence: João Sabino, Email
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17
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Kalia V, Kulick ER, Vardarajan B, Gu Y, Manly JJ, Elkind MS, Kaufman JD, Jones DP, Baccarelli AA, Mayeux R, Kioumourtzoglou MA, Miller GW. Linking Air Pollution Exposure to Blood-Based Metabolic Features in a Community-Based Aging Cohort with and without Dementia. J Alzheimers Dis 2023; 96:1025-1040. [PMID: 37927256 PMCID: PMC10741333 DOI: 10.3233/jad-230122] [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] [Accepted: 09/11/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND Long-term exposure to air pollution has been associated with changes in levels of metabolites measured in the peripheral blood. However, most research has been conducted in ethnically homogenous, young or middle-aged populations. OBJECTIVE To study the relationship between the plasma metabolome and long-term exposure to three air pollutants: particulate matter (PM) less than 2.5μm in aerodynamic diameter (PM2.5), PM less than 10μm in aerodynamic diameter (PM10), and nitrogen dioxide (NO2) in an ethnically diverse, older population. METHODS Plasma metabolomic profiles of 107 participants of the Washington Heights and Inwood Community Aging Project in New York City, collected from 1995-2015, including non-Hispanic white, Caribbean Hispanic, and non-Hispanic Black older adults were used. We estimated the association between each metabolic feature and predicted annual mean exposure to the air pollutants using three approaches: 1) A metabolome wide association study framework; 2) Feature selection using elastic net regression; and 3) A multivariate approach using partial-least squares discriminant analysis. RESULTS 79 features associated with exposure to PM2.5 but none associated with PM10 or NO2. PM2.5 exposure was associated with altered amino acid metabolism, energy production, and oxidative stress response, pathways also associated with Alzheimer's disease. Three metabolites were associated with PM2.5 exposure through all three approaches: cysteinylglycine disulfide, a diglyceride, and a dicarboxylic acid. The relationship between several features and PM2.5 exposure was modified by diet and metabolic diseases. CONCLUSIONS These relationships uncover the mechanisms through which PM2.5 exposure can lead to altered metabolic outcomes in an older population.
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Affiliation(s)
- Vrinda Kalia
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Erin R. Kulick
- Department of Epidemiology and Biostatistics, Temple University College of Public Health, Philadelphia, PA, USA
| | - Badri Vardarajan
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
- The Gertrude H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University and the New York Presbyterian Hospital, New York, NY, USA
| | - Yian Gu
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
- The Gertrude H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University and the New York Presbyterian Hospital, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Jennifer J. Manly
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University and the New York Presbyterian Hospital, New York, NY, USA
| | - Mitchell S.V. Elkind
- The Gertrude H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University and the New York Presbyterian Hospital, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Joel D. Kaufman
- Departments of Environmental and Occupational Health Sciences, Medicine, and Epidemiology, University of Washington, Seattle, WA, USA
| | - Dean P. Jones
- Department of Medicine, Clinical Biomarkers Laboratory, Emory University, Atlanta, GA, USA
| | - Andrea A. Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Richard Mayeux
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
- The Gertrude H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University and the New York Presbyterian Hospital, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | | | - Gary W. Miller
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
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18
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Barbe V, de Toro-Martín J, San-Cristobal R, Garneau V, Pilon G, Couture P, Roy D, Couillard C, Marette A, Vohl MC. A discriminant analysis of plasma metabolomics for the assessment of metabolic responsiveness to red raspberry consumption. Front Nutr 2023; 10:1104685. [PMID: 37125033 PMCID: PMC10130762 DOI: 10.3389/fnut.2023.1104685] [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: 11/21/2022] [Accepted: 03/06/2023] [Indexed: 05/02/2023] Open
Abstract
Background Many studies show that the intake of raspberries is beneficial to immune-metabolic health, but the responses of individuals are heterogeneous and not fully understood. Methods In a two-arm parallel-group, randomized, controlled trial, immune-metabolic outcomes and plasma metabolite levels were analyzed before and after an 8-week red raspberry consumption. Based on partial least squares discriminant analysis (PLS-DA) on plasma xenobiotic levels, adherence to the intervention was first evaluated. A second PLS-DA followed by hierarchical clustering was used to classify individuals into response subgroups. Clinical immune and metabolic outcomes, including insulin resistance (HOMA-IR) and sensitivity (Matsuda, QUICKI) indices, during the intervention were assessed and compared between response subgroups. Results Two subgroups of participants, type 1 responders (n = 17) and type 2 responders (n = 5), were identified based on plasma metabolite levels measured during the intervention. Type 1 responders showed neutral to negative effects on immune-metabolic clinical parameters after raspberry consumption, and type 2 responders showed positive effects on the same parameters. Changes in waist circumference, waist-to-hip ratio, fasting plasma apolipoprotein B, C-reactive protein and insulin levels as well as Matsuda, HOMA-IR and QUICKI were significantly different between the two response subgroups. A deleterious effect of two carotenoid metabolites was also observed in type 1 responders but these variables were significantly associated with beneficial changes in the QUICKI index and in fasting insulin levels in type 2 responders. Increased 3-ureidopropionate levels were associated with a decrease in the Matsuda index in type 2 responders, suggesting that this metabolite is associated with a decrease in insulin sensitivity for those subjects, whereas the opposite was observed for type 1 responders. Conclusion The beneficial effects associated with red raspberry consumption are subject to inter-individual variability. Metabolomics-based clustering appears to be an effective way to assess adherence to a nutritional intervention and to classify individuals according to their immune-metabolic responsiveness to the intervention. This approach may be replicated in future studies to provide a better understanding of how interindividual variability impacts the effects of nutritional interventions on immune-metabolic health.
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Affiliation(s)
- Valentin Barbe
- Centre Nutrition, santé et société (NUTRISS), Université Laval, Québec City, QC, Canada
- Institut sur la nutrition et les aliments fonctionnels (INAF), Université Laval, Québec City, QC, Canada
- School of Nutrition, Université Laval, Québec City, QC, Canada
| | - Juan de Toro-Martín
- Centre Nutrition, santé et société (NUTRISS), Université Laval, Québec City, QC, Canada
- Institut sur la nutrition et les aliments fonctionnels (INAF), Université Laval, Québec City, QC, Canada
- School of Nutrition, Université Laval, Québec City, QC, Canada
| | - Rodrigo San-Cristobal
- Centre Nutrition, santé et société (NUTRISS), Université Laval, Québec City, QC, Canada
- Institut sur la nutrition et les aliments fonctionnels (INAF), Université Laval, Québec City, QC, Canada
- School of Nutrition, Université Laval, Québec City, QC, Canada
| | - Véronique Garneau
- Centre Nutrition, santé et société (NUTRISS), Université Laval, Québec City, QC, Canada
- Institut sur la nutrition et les aliments fonctionnels (INAF), Université Laval, Québec City, QC, Canada
- School of Nutrition, Université Laval, Québec City, QC, Canada
| | - Geneviève Pilon
- Centre Nutrition, santé et société (NUTRISS), Université Laval, Québec City, QC, Canada
- Institut sur la nutrition et les aliments fonctionnels (INAF), Université Laval, Québec City, QC, Canada
- Québec Heart and Lung Institute (IUCPQ) Research Center, Québec City, QC, Canada
| | - Patrick Couture
- Centre Nutrition, santé et société (NUTRISS), Université Laval, Québec City, QC, Canada
- Institut sur la nutrition et les aliments fonctionnels (INAF), Université Laval, Québec City, QC, Canada
- Endocrinology and Nephrology Unit, CHU de Quebec Research Center, Québec City, QC, Canada
| | - Denis Roy
- Institut sur la nutrition et les aliments fonctionnels (INAF), Université Laval, Québec City, QC, Canada
| | - Charles Couillard
- Centre Nutrition, santé et société (NUTRISS), Université Laval, Québec City, QC, Canada
- Institut sur la nutrition et les aliments fonctionnels (INAF), Université Laval, Québec City, QC, Canada
- School of Nutrition, Université Laval, Québec City, QC, Canada
| | - André Marette
- Centre Nutrition, santé et société (NUTRISS), Université Laval, Québec City, QC, Canada
- Institut sur la nutrition et les aliments fonctionnels (INAF), Université Laval, Québec City, QC, Canada
- Québec Heart and Lung Institute (IUCPQ) Research Center, Québec City, QC, Canada
| | - Marie-Claude Vohl
- Centre Nutrition, santé et société (NUTRISS), Université Laval, Québec City, QC, Canada
- Institut sur la nutrition et les aliments fonctionnels (INAF), Université Laval, Québec City, QC, Canada
- School of Nutrition, Université Laval, Québec City, QC, Canada
- *Correspondence: Marie-Claude Vohl,
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Dalakleidi KV, Papadelli M, Kapolos I, Papadimitriou K. Applying Image-Based Food-Recognition Systems on Dietary Assessment: A Systematic Review. Adv Nutr 2022; 13:2590-2619. [PMID: 35803496 PMCID: PMC9776640 DOI: 10.1093/advances/nmac078] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 06/06/2022] [Accepted: 07/06/2022] [Indexed: 01/29/2023] Open
Abstract
Dietary assessment can be crucial for the overall well-being of humans and, at least in some instances, for the prevention and management of chronic, life-threatening diseases. Recall and manual record-keeping methods for food-intake monitoring are available, but often inaccurate when applied for a long period of time. On the other hand, automatic record-keeping approaches that adopt mobile cameras and computer vision methods seem to simplify the process and can improve current human-centric diet-monitoring methods. Here we present an extended critical literature overview of image-based food-recognition systems (IBFRS) combining a camera of the user's mobile device with computer vision methods and publicly available food datasets (PAFDs). In brief, such systems consist of several phases, such as the segmentation of the food items on the plate, the classification of the food items in a specific food category, and the estimation phase of volume, calories, or nutrients of each food item. A total of 159 studies were screened in this systematic review of IBFRS. A detailed overview of the methods adopted in each of the 78 included studies of this systematic review of IBFRS is provided along with their performance on PAFDs. Studies that included IBFRS without presenting their performance in at least 1 of the above-mentioned phases were excluded. Among the included studies, 45 (58%) studies adopted deep learning methods and especially convolutional neural networks (CNNs) in at least 1 phase of the IBFRS with input PAFDs. Among the implemented techniques, CNNs outperform all other approaches on the PAFDs with a large volume of data, since the richness of these datasets provides adequate training resources for such algorithms. We also present evidence for the benefits of application of IBFRS in professional dietetic practice. Furthermore, challenges related to the IBFRS presented here are also thoroughly discussed along with future directions.
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Affiliation(s)
- Kalliopi V Dalakleidi
- Department of Food Science and Technology, University of the Peloponnese, Kalamata, Greece
| | - Marina Papadelli
- Department of Food Science and Technology, University of the Peloponnese, Kalamata, Greece
| | - Ioannis Kapolos
- Department of Food Science and Technology, University of the Peloponnese, Kalamata, Greece
| | - Konstantinos Papadimitriou
- Laboratory of Food Quality Control and Hygiene, Department of Food Science and Human Nutrition, Agricultural University of Athens, Athens, Greece
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20
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Srivastava S, Dubey AK, Madaan R, Bala R, Gupta Y, Dhiman BS, Kumar S. Emergence of nutrigenomics and dietary components as a complementary therapy in cancer prevention. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:89853-89873. [PMID: 36367649 DOI: 10.1007/s11356-022-24045-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 11/02/2022] [Indexed: 06/16/2023]
Abstract
Cancer is an illness characterized by abnormal cell development and the capability to infiltrate or spread to rest of the body. A tumor is the term for this abnormal growth that develops in solid tissues like an organ, muscle, or bone and can spread to other parts of the body through the blood and lymphatic systems. Nutrition is a critical and immortal environmental component in the development of all living organisms encoding the relationship between a person's nutrition and their genes. Nutrients have the ability to modify gene expression and persuade alterations in DNA and protein molecules which is researched scientifically in nutrigenomics. These interactions have a significant impact on the pharmacokinetic properties of bioactive dietary components as well as their site of action/molecular targets. Nutrigenomics encompasses nutrigenetics, epigenetics, and transcriptomics as well as other "omic" disciplines like proteomics and metabolomics to explain the vast disparities in cancer risk among people with roughly similar life style. Clinical trials and researches have evidenced that alternation of dietary habits is potentially one of the key approaches for reducing cancer risk in an individual. In this article, we will target how nutrigenomics and functional food work as preventive therapy in reducing the risk of cancer.
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Affiliation(s)
| | - Ankit Kumar Dubey
- Institute of Scholars, Bengaluru, 577102, Karnataka, India.
- iGlobal Research and Publishing Foundation, New Delhi, 110059, India.
| | - Reecha Madaan
- Chitkara College of Pharmacy, Chitkara University, Punjab, India
| | - Rajni Bala
- Chitkara College of Pharmacy, Chitkara University, Punjab, India
| | - Yugam Gupta
- Chitkara College of Pharmacy, Chitkara University, Punjab, India
| | | | - Suresh Kumar
- Department of Pharmaceutical Sciences and Drug Research, Punjabi University, Patiala, 147002, Punjab, India
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21
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Nutrigenomics: An inimitable interaction amid genomics, nutrition and health. INNOV FOOD SCI EMERG 2022. [DOI: 10.1016/j.ifset.2022.103196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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22
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KIANI AYSHAKARIM, BONETTI GABRIELE, DONATO KEVIN, KAFTALLI JURGEN, HERBST KARENL, STUPPIA LIBORIO, FIORETTI FRANCESCO, NODARI SAVINA, PERRONE MARCO, CHIURAZZI PIETRO, BELLINATO FRANCESCO, GISONDI PAOLO, BERTELLI MATTEO. Polymorphisms, diet and nutrigenomics. JOURNAL OF PREVENTIVE MEDICINE AND HYGIENE 2022; 63:E125-E141. [PMID: 36479483 PMCID: PMC9710387 DOI: 10.15167/2421-4248/jpmh2022.63.2s3.2754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Every human being possesses an exclusive nutritional blueprint inside their genes. Bioactive food components and nutrients affect the expression of such genes. Nutrigenomics is the science that analyzes gene-nutrient interactions (nutrigenetics), which can lead to the development of personalized nutritional recommendations to maintain optimal health and prevent disease. Genomic diversity among various ethnic groups might affect nutrients bioavailability as well as their metabolism. Nutrigenomics combines different branches of science including nutrition, bioinformatics, genomics, molecular biology, molecular medicine, and epidemiology. Genes regulate intake and metabolism of different nutrients, while nutrients positively or negatively influence the expression of a number of genes; testing of specific genetic polymorphisms may therefore become a useful tool to manage weight loss and to fully understand gene-nutrient interactions. Indeed, several approaches are used to study gene-nutrient interactions: epigenetics, the study of genome modification not related to changes in nucleotide sequence; transcriptomics, the study of tissue-specific and time-specific RNA transcripts; proteomics, the study of proteins involved in biological processes; and metabolomics, the study of changes of primary and secondary metabolites in body fluids and tissues. Hence, the use of nutrigenomics to improve and optimize a healthy, balanced diet in clinical settings could be an effective approach for long-term lifestyle changes that might lead to consistent weight loss and improve quality of life.
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Affiliation(s)
| | - GABRIELE BONETTI
- MAGI’S LAB, Rovereto (TN), Italy
- Correspondence: Gabriele Bonetti, MAGI’S LAB, Rovereto (TN), 38068, Italy. E-mail:
| | | | | | - KAREN L. HERBST
- Total Lipedema Care, Beverly Hills California and Tucson Arizona, USA
| | - LIBORIO STUPPIA
- Department of Psychological, Health and Territorial Sciences, School of Medicine and Health Sciences, “G. d’Annunzio” University, Chieti, Italy
| | - FRANCESCO FIORETTI
- Department of Cardiology, University of Brescia and ASST “Spedali Civili” Hospital, Brescia, Italy
| | - SAVINA NODARI
- Department of Cardiology, University of Brescia and ASST “Spedali Civili” Hospital, Brescia, Italy
| | - MARCO PERRONE
- Department of Cardiology and CardioLab, University of Rome Tor Vergata, Rome, Italy
| | - PIETRO CHIURAZZI
- Istituto di Medicina Genomica, Università Cattolica del Sacro Cuore, Rome, Italy
- UOC Genetica Medica, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, Rome, Italy
| | - FRANCESCO BELLINATO
- Section of Dermatology and Venereology, Department of Medicine, University of Verona, Verona, Italy
| | - PAOLO GISONDI
- Section of Dermatology and Venereology, Department of Medicine, University of Verona, Verona, Italy
| | - MATTEO BERTELLI
- MAGI EUREGIO, Bolzano, Italy
- MAGI’S LAB, Rovereto (TN), Italy
- MAGISNAT, Peachtree Corners (GA), USA
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23
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Singh DP, Bisen MS, Shukla R, Prabha R, Maurya S, Reddy YS, Singh PM, Rai N, Chaubey T, Chaturvedi KK, Srivastava S, Farooqi MS, Gupta VK, Sarma BK, Rai A, Behera TK. Metabolomics-Driven Mining of Metabolite Resources: Applications and Prospects for Improving Vegetable Crops. Int J Mol Sci 2022; 23:ijms232012062. [PMID: 36292920 PMCID: PMC9603451 DOI: 10.3390/ijms232012062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/13/2022] [Accepted: 09/23/2022] [Indexed: 11/16/2022] Open
Abstract
Vegetable crops possess a prominent nutri-metabolite pool that not only contributes to the crop performance in the fields, but also offers nutritional security for humans. In the pursuit of identifying, quantifying and functionally characterizing the cellular metabolome pool, biomolecule separation technologies, data acquisition platforms, chemical libraries, bioinformatics tools, databases and visualization techniques have come to play significant role. High-throughput metabolomics unravels structurally diverse nutrition-rich metabolites and their entangled interactions in vegetable plants. It has helped to link identified phytometabolites with unique phenotypic traits, nutri-functional characters, defense mechanisms and crop productivity. In this study, we explore mining diverse metabolites, localizing cellular metabolic pathways, classifying functional biomolecules and establishing linkages between metabolic fluxes and genomic regulations, using comprehensive metabolomics deciphers of the plant’s performance in the environment. We discuss exemplary reports covering the implications of metabolomics, addressing metabolic changes in vegetable plants during crop domestication, stage-dependent growth, fruit development, nutri-metabolic capabilities, climatic impacts, plant-microbe-pest interactions and anthropogenic activities. Efforts leading to identify biomarker metabolites, candidate proteins and the genes responsible for plant health, defense mechanisms and nutri-rich crop produce are documented. With the insights on metabolite-QTL (mQTL) driven genetic architecture, molecular breeding in vegetable crops can be revolutionized for developing better nutritional capabilities, improved tolerance against diseases/pests and enhanced climate resilience in plants.
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Affiliation(s)
- Dhananjaya Pratap Singh
- ICAR-Indian Institute of Vegetable Research, Jakhini, Shahanshahpur, Varanasi 221305, India
- Correspondence:
| | - Mansi Singh Bisen
- ICAR-Indian Institute of Vegetable Research, Jakhini, Shahanshahpur, Varanasi 221305, India
| | - Renu Shukla
- Indian Council of Agricultural Research (ICAR), Krishi Bhawan, Dr. Rajendra Prasad Road, New Delhi 110001, India
| | - Ratna Prabha
- ICAR-Indian Agricultural Statistics Research Institute, Centre for Agricultural Bioinformatics, Library Avenue, Pusa, New Delhi 110012, India
| | - Sudarshan Maurya
- ICAR-Indian Institute of Vegetable Research, Jakhini, Shahanshahpur, Varanasi 221305, India
| | - Yesaru S. Reddy
- ICAR-Indian Institute of Vegetable Research, Jakhini, Shahanshahpur, Varanasi 221305, India
| | - Prabhakar Mohan Singh
- ICAR-Indian Institute of Vegetable Research, Jakhini, Shahanshahpur, Varanasi 221305, India
| | - Nagendra Rai
- ICAR-Indian Institute of Vegetable Research, Jakhini, Shahanshahpur, Varanasi 221305, India
| | - Tribhuwan Chaubey
- ICAR-Indian Institute of Vegetable Research, Jakhini, Shahanshahpur, Varanasi 221305, India
| | - Krishna Kumar Chaturvedi
- ICAR-Indian Agricultural Statistics Research Institute, Centre for Agricultural Bioinformatics, Library Avenue, Pusa, New Delhi 110012, India
| | - Sudhir Srivastava
- ICAR-Indian Agricultural Statistics Research Institute, Centre for Agricultural Bioinformatics, Library Avenue, Pusa, New Delhi 110012, India
| | - Mohammad Samir Farooqi
- ICAR-Indian Agricultural Statistics Research Institute, Centre for Agricultural Bioinformatics, Library Avenue, Pusa, New Delhi 110012, India
| | - Vijai Kumar Gupta
- Biorefining and Advanced Materials Research Centre, Scotland’s Rural College, Kings Buildings, West Mains Road, Edinburgh EH9 3JG, UK
| | - Birinchi K. Sarma
- Department of Mycology and Plant Pathology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi 221005, India
| | - Anil Rai
- ICAR-Indian Agricultural Statistics Research Institute, Centre for Agricultural Bioinformatics, Library Avenue, Pusa, New Delhi 110012, India
| | - Tusar Kanti Behera
- ICAR-Indian Institute of Vegetable Research, Jakhini, Shahanshahpur, Varanasi 221305, India
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Yeşilyurt N, Yılmaz B, Ağagündüz D, Capasso R. Microbiome-based personalized nutrition as a result of the 4.0 technological revolution: A mini literature review. Process Biochem 2022. [DOI: 10.1016/j.procbio.2022.07.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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25
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Castro-Alves V, Orešič M, Hyötyläinen T. Lipidomics in nutrition research. Curr Opin Clin Nutr Metab Care 2022; 25:311-318. [PMID: 35788540 DOI: 10.1097/mco.0000000000000852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW This review focuses on the recent findings from lipidomics studies as related to nutrition and health research. RECENT FINDINGS Several lipidomics studies have investigated malnutrition, including both under- and overnutrition. Focus has been both on the early-life nutrition as well as on the impact of overfeeding later in life. Multiple studies have investigated the impact of different macronutrients in lipidome on human health, demonstrating that overfeeding with saturated fat is metabolically more harmful than overfeeding with polyunsaturated fat or carbohydrate-rich food. Diet rich in saturated fat increases the lipotoxic lipids, such as ceramides and saturated fatty-acyl-containing triacylglycerols, increasing also the low-density lipoprotein aggregation rate. In contrast, diet rich in polyunsaturated fatty acids, such as n-3 fatty acids, decreases the triacylglycerol levels, although some individuals are poor responders to n-3 supplementation. SUMMARY The results highlight the benefits of lipidomics in clinical nutrition research, also providing an opportunity for personalized nutrition. An area of increasing interest is the interplay of diet, gut microbiome, and metabolome, and how they together impact individuals' responses to nutritional challenges.
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Affiliation(s)
| | - Matej Orešič
- School of Medical Sciences, Örebro University, Örebro, Sweden
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
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Shen X, Jain A, Aladelokun O, Yan H, Gilbride A, Ferrucci LM, Lu L, Khan SA, Johnson CH. Asparagine, colorectal cancer, and the role of sex, genes, microbes, and diet: A narrative review. Front Mol Biosci 2022; 9:958666. [PMID: 36090030 PMCID: PMC9453556 DOI: 10.3389/fmolb.2022.958666] [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: 05/31/2022] [Accepted: 07/21/2022] [Indexed: 02/05/2023] Open
Abstract
Asparagine (Asn) and enzymes that catalyze the metabolism of Asn have been linked to the regulation and propagation of colorectal cancer (CRC). Increased Asn and asparagine synthetase (ASNS) expression, both contribute to CRC progression and metastasis. In contradistinction, L-asparaginase (ASNase) which breaks down Asn, exhibits an anti-tumor effect. Metabolic pathways such as KRAS/PI3K/AKT/mTORC1 signaling and high SOX12 expression can positively regulate endogenous Asn production. Conversely, the tumor suppressor, TP53, negatively impacts ASNS, thus limiting Asn synthesis and reducing tumor burden. Asn abundance can be altered by factors extrinsic to the cancer cell such as diet, the microbiome, and therapeutic use of ASNase. Recent studies have shown that sex-related factors can also influence the regulation of Asn, and high Asn production results in poorer prognosis for female CRC patients but not males. In this narrative review, we critically review studies that have examined endogenous and exogenous modulators of Asn bioavailability and summarize the key metabolic networks that regulate Asn metabolism. We also provide new hypotheses regarding sex-related influences on Asn, including the involvement of the sex-steroid hormone estrogen and estrogen receptors. Further, we hypothesize that sex-specific factors that influence Asn metabolism can influence clinical outcomes in CRC patients.
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Affiliation(s)
- Xinyi Shen
- Department of Chronic Disease Epidemiology, Yale School of Public Health, Yale University, New Haven, CT, United States,Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT, United States
| | - Abhishek Jain
- Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT, United States
| | - Oladimeji Aladelokun
- Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT, United States
| | - Hong Yan
- Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT, United States
| | - Austin Gilbride
- Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT, United States
| | - Leah M. Ferrucci
- Department of Chronic Disease Epidemiology, Yale School of Public Health, Yale University, New Haven, CT, United States
| | - Lingeng Lu
- Department of Chronic Disease Epidemiology, Yale School of Public Health, Yale University, New Haven, CT, United States
| | - Sajid A. Khan
- Division of Surgical Oncology, Department of Surgery, Yale University School of Medicine, New Haven, CT, United States,*Correspondence: Sajid A. Khan, ; Caroline H. Johnson,
| | - Caroline H. Johnson
- Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT, United States,*Correspondence: Sajid A. Khan, ; Caroline H. Johnson,
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Tiozon RJN, Sartagoda KJD, Serrano LMN, Fernie AR, Sreenivasulu N. Metabolomics based inferences to unravel phenolic compound diversity in cereals and its implications for human gut health. Trends Food Sci Technol 2022; 127:14-25. [PMID: 36090468 PMCID: PMC9449372 DOI: 10.1016/j.tifs.2022.06.011] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 06/13/2022] [Accepted: 06/17/2022] [Indexed: 11/30/2022]
Abstract
Background Scope and approach Key findings and conclusion Phenolic compounds are critical in avoiding metabolic disorders associated with oxidative stress. Breeding cereal crops to enrich phenolic compounds in grains contributes to personalized nutrition. A diet rich in cereal phenolics likely to increase human gut health, thereby lowering the risk of non-communicable illness.
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Affiliation(s)
- Rhowell Jr. N. Tiozon
- Consumer Driven Grain Quality and Nutrition Unit, Rice Breeding and Innovation Platform, International Rice Research Institute, Los Baños, 4030, Philippines
- Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam-Golm, Germany
| | - Kristel June D. Sartagoda
- Consumer Driven Grain Quality and Nutrition Unit, Rice Breeding and Innovation Platform, International Rice Research Institute, Los Baños, 4030, Philippines
| | - Luster May N. Serrano
- Consumer Driven Grain Quality and Nutrition Unit, Rice Breeding and Innovation Platform, International Rice Research Institute, Los Baños, 4030, Philippines
| | - Alisdair R. Fernie
- Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam-Golm, Germany
| | - Nese Sreenivasulu
- Consumer Driven Grain Quality and Nutrition Unit, Rice Breeding and Innovation Platform, International Rice Research Institute, Los Baños, 4030, Philippines
- Corresponding author.
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Thiruvenkataswamy CS, Appukutty M, Vimaleswaran KS. Role of precision nutrition in improving military performance. Per Med 2022; 19:167-170. [PMID: 35293219 DOI: 10.2217/pme-2021-0120] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Graphical abstract [Formula: see text] Role of precision nutrition in improving military performance.
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Affiliation(s)
| | - Mahenderan Appukutty
- Faculty of Sports Science & Recreation, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, 40450, Malaysia
| | - Karani Santhanakrishnan Vimaleswaran
- Hugh Sinclair Unit of Human Nutrition, Department of Food & Nutritional Sciences, University of Reading, Reading, RG6 6DZ, UK.,The Institute for Food, Nutrition, & Health (IFNH), University of Reading, RG6 6AH, UK
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29
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Putri SP, Ikram MMM, Sato A, Dahlan HA, Rahmawati D, Ohto Y, Fukusaki E. Application of gas chromatography-mass spectrometry-based metabolomics in food science and technology. J Biosci Bioeng 2022; 133:425-435. [DOI: 10.1016/j.jbiosc.2022.01.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 01/21/2022] [Accepted: 01/21/2022] [Indexed: 12/23/2022]
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Pigsborg K, Magkos F. Metabotyping for Precision Nutrition and Weight Management: Hype or Hope? Curr Nutr Rep 2022; 11:117-123. [PMID: 35025088 DOI: 10.1007/s13668-021-00392-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/30/2021] [Indexed: 12/11/2022]
Abstract
PURPOSE OF REVIEW Precision nutrition requires a solid understanding of the factors that determine individual responses to dietary treatment. We review the current state of knowledge in identifying human metabotypes - based on circulating biomarkers - that can predict weight loss or other relevant physiological outcomes in response to diet treatment. RECENT FINDINGS Not many studies have been conducted in this area and the ones identified here are heterogeneous in design and methodology, and therefore difficult to synthesize and draw conclusions. The basis of the creation of metabotypes varies widely, from using thresholds for a single metabolite to using complex algorithms to generate multi-component constructs that include metabolite and genetic information. Furthermore, available studies are a mix of hypothesis-driven and hypothesis-generating studies, and most of them lack experimental testing in human trials. Although this field of research is still in its infancy, precision-based dietary intervention strategies focusing on the metabotype group level hold promise for designing more effective dietary treatments for obesity.
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Affiliation(s)
- Kristina Pigsborg
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg, Denmark.
| | - Faidon Magkos
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg, Denmark
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31
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Abrahams M, O'Grady R, Prawitt J. Feasibility and acceptability of a mixed model digital study to explore the effect of a daily collagen peptide supplement on digestive symptoms in healthy females: findings from a pilot study. (Preprint). JMIR Form Res 2022; 6:e36339. [PMID: 35639457 PMCID: PMC9198822 DOI: 10.2196/36339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 03/29/2022] [Accepted: 04/19/2022] [Indexed: 11/13/2022] Open
Abstract
Background Objective Methods Results Conclusions Trial Registration
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32
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Joblin-Mills A, Wu Z, Fraser K, Jones B, Yip W, Lim JJ, Lu L, Sequeira I, Poppitt S. The impact of ethnicity and intra-pancreatic fat on the postprandial metabolome response to whey protein in overweight Asian Chinese and European Caucasian women with prediabetes. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2022; 3:980856. [PMID: 36992769 PMCID: PMC10012149 DOI: 10.3389/fcdhc.2022.980856] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 07/27/2022] [Indexed: 03/31/2023]
Abstract
The "Thin on the Outside Fat on the Inside" TOFI_Asia study found Asian Chinese to be more susceptible to Type 2 Diabetes (T2D) compared to European Caucasians matched for gender and body mass index (BMI). This was influenced by degree of visceral adipose deposition and ectopic fat accumulation in key organs, including liver and pancreas, leading to altered fasting plasma glucose, insulin resistance, and differences in plasma lipid and metabolite profiles. It remains unclear how intra-pancreatic fat deposition (IPFD) impacts TOFI phenotype-related T2D risk factors associated with Asian Chinese. Cow's milk whey protein isolate (WPI) is an insulin secretagogue which can suppress hyperglycemia in prediabetes. In this dietary intervention, we used untargeted metabolomics to characterize the postprandial WPI response in 24 overweight women with prediabetes. Participants were classified by ethnicity (Asian Chinese, n=12; European Caucasian, n=12) and IPFD (low IPFD < 4.66%, n=10; high IPFD ≥ 4.66%, n=10). Using a cross-over design participants were randomized to consume three WPI beverages on separate occasions; 0 g (water control), 12.5 g (low protein, LP) and 50 g (high protein, HP), consumed when fasted. An exclusion pipeline for isolating metabolites with temporal (T0-240mins) WPI responses was implemented, and a support vector machine-recursive feature elimination (SVM-RFE) algorithm was used to model relevant metabolites by ethnicity and IPFD classes. Metabolic network analysis identified glycine as a central hub in both ethnicity and IPFD WPI response networks. A depletion of glycine relative to WPI concentration was detected in Chinese and high IPFD participants independent of BMI. Urea cycle metabolites were highly represented among the ethnicity WPI metabolome model, implicating a dysregulation in ammonia and nitrogen metabolism among Chinese participants. Uric acid and purine synthesis pathways were enriched within the high IPFD cohort's WPI metabolome response, implicating adipogenesis and insulin resistance pathways. In conclusion, the discrimination of ethnicity from WPI metabolome profiles was a stronger prediction model than IPFD in overweight women with prediabetes. Each models' discriminatory metabolites enriched different metabolic pathways that help to further characterize prediabetes in Asian Chinese women and women with increased IPFD, independently.
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Affiliation(s)
- Aidan Joblin-Mills
- Food Chemistry and Structure Team, Agresearch, Palmerston North, New Zealand
- High-Value Nutrition, National Science Challenge, Auckland, New Zealand
- *Correspondence: Aidan Joblin-Mills,
| | - Zhanxuan Wu
- Food Chemistry and Structure Team, Agresearch, Palmerston North, New Zealand
- High-Value Nutrition, National Science Challenge, Auckland, New Zealand
- School of Food and Nutrition, Massey University, Palmerston North, New Zealand
| | - Karl Fraser
- Food Chemistry and Structure Team, Agresearch, Palmerston North, New Zealand
- High-Value Nutrition, National Science Challenge, Auckland, New Zealand
| | - Beatrix Jones
- High-Value Nutrition, National Science Challenge, Auckland, New Zealand
- Department of Statistics, University of Auckland, Auckland, New Zealand
| | - Wilson Yip
- High-Value Nutrition, National Science Challenge, Auckland, New Zealand
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Jia Jiet Lim
- High-Value Nutrition, National Science Challenge, Auckland, New Zealand
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Louise Lu
- High-Value Nutrition, National Science Challenge, Auckland, New Zealand
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Ivana Sequeira
- High-Value Nutrition, National Science Challenge, Auckland, New Zealand
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Sally Poppitt
- High-Value Nutrition, National Science Challenge, Auckland, New Zealand
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand
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33
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Li F, Yang S, Zhang L, Qiao L, Wang L, He S, Li J, Yang N, Yue B, Zhou C. Comparative metagenomics analysis reveals how the diet shapes the gut microbiota in several small mammals. Ecol Evol 2022; 12:e8470. [PMID: 35136548 PMCID: PMC8809447 DOI: 10.1002/ece3.8470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 11/29/2021] [Accepted: 12/01/2021] [Indexed: 11/19/2022] Open
Abstract
The gut microbiomes of the host are large and complex communities, which helps to maintain homeostasis, improves digestive efficiency, and promotes the development of the immune system. The small mammals distributed in Sichuan Province are the most popular species for biodiversity research in Southwest China. However, the effects of different diets on the structure and function of the gut microbial community of these small mammals are poorly understood. In this study, whole-metagenome shotgun sequencing has been used to analyze the composition and functional structures of the gut microbiota of seven small mammals in Laojunshan National Nature Reserve, Sichuan Province, China. Taxonomic classification revealed that the most abundant phyla in the gut of seven small mammals were Bacteroides, Proteobacteria, and Firmicutes. Moreover, Hafnia, Lactobacillus, and Yersinia were the most abundant genus in the gut microbiomes of these seven species. At the functional level, we annotated a series of KEGG functional pathways, six Cazy categories, and 46,163 AROs in the gut microbiomes of the seven species. Comparative analysis found that the difference in the gut microbiomes between the Soricidea and Muridae concentrated on the increase in the F/B (Firmicutes/Bacteroides) ratio in the Soricidea group, probably driven by the high-fat and -calorie digestive requirements due to their insectivorous diet. The comparative functional profiling revealed that functions related to metabolism and carbohydrates were significantly more abundant in Muridae group, which may be attributed to their high carbohydrate digestion requirements caused by their herbivorous diet. These data suggested that different diets in the host may play an important role in shaping the gut microbiota, and lay the foundation for teasing apart the influences of heritable and environmental factors on the evolution of gut microbial communities.
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Affiliation(s)
- Fengjun Li
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education)College of Life SciencesSichuan UniversityChengduChina
| | - Shengzhi Yang
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education)College of Life SciencesSichuan UniversityChengduChina
| | - Linwan Zhang
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education)College of Life SciencesSichuan UniversityChengduChina
| | - Lu Qiao
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education)College of Life SciencesSichuan UniversityChengduChina
| | - Lei Wang
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education)College of Life SciencesSichuan UniversityChengduChina
| | - Song He
- Laojunshan National Nature ReserveSichuan ProvincePingshanChina
| | - Jian Li
- Laojunshan National Nature ReserveSichuan ProvincePingshanChina
| | - Nan Yang
- Institute of Qinghai‐Tibetan PlateauSouthwest Minzu UniversityChengduChina
| | - Bisong Yue
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education)College of Life SciencesSichuan UniversityChengduChina
| | - Chuang Zhou
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education)College of Life SciencesSichuan UniversityChengduChina
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Defining Blood Plasma and Serum Metabolome by GC-MS. Metabolites 2021; 12:metabo12010015. [PMID: 35050137 PMCID: PMC8779220 DOI: 10.3390/metabo12010015] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 12/18/2021] [Accepted: 12/21/2021] [Indexed: 01/04/2023] Open
Abstract
Metabolomics uses advanced analytical chemistry methods to analyze metabolites in biological samples. The most intensively studied samples are blood and its liquid components: plasma and serum. Armed with advanced equipment and progressive software solutions, the scientific community has shown that small molecules’ roles in living systems are not limited to traditional “building blocks” or “just fuel” for cellular energy. As a result, the conclusions based on studying the metabolome are finding practical reflection in molecular medicine and a better understanding of fundamental biochemical processes in living systems. This review is not a detailed protocol of metabolomic analysis. However, it should support the reader with information about the achievements in the whole process of metabolic exploration of human plasma and serum using mass spectrometry combined with gas chromatography.
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Chele KH, Steenkamp P, Piater LA, Dubery IA, Huyser J, Tugizimana F. A Global Metabolic Map Defines the Effects of a Si-Based Biostimulant on Tomato Plants under Normal and Saline Conditions. Metabolites 2021; 11:metabo11120820. [PMID: 34940578 PMCID: PMC8709197 DOI: 10.3390/metabo11120820] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 11/10/2021] [Accepted: 11/13/2021] [Indexed: 01/19/2023] Open
Abstract
The ongoing unpredictability of climate changes is exponentially exerting a negative impact on crop production, further aggravating detrimental abiotic stress effects. Several research studies have been focused on the genetic modification of crop plants to achieve more crop resilience against such stress factors; however, there has been a paradigm shift in modern agriculture focusing on more organic, eco-friendly and long-lasting systems to improve crop yield. As such, extensive research into the use of microbial and nonmicrobial biostimulants has been at the core of agricultural studies to improve crop growth and development, as well as to attain tolerance against several biotic and abiotic stresses. However, the molecular mechanisms underlying the biostimulant activity remain enigmatic. Thus, this study is a liquid chromatography-mass spectrometry (LC-MS)-based untargeted metabolomics approach to unravel the hypothetical biochemical framework underlying effects of a nonmicrobial biostimulant (a silicon-based formulation) on tomato plants (Solanum lycopersium) under salinity stress conditions. This metabolomics study postulates that Si-based biostimulants could alleviate salinity stress in tomato plants through modulation of the primary metabolism involving changes in the tricarboxylic acid cycle, fatty acid and numerous amino acid biosynthesis pathways, with further reprogramming of several secondary metabolism pathways such as the phenylpropanoid pathway, flavonoid biosynthesis pathways including flavone and flavanol biosynthesis. Thus, the postulated hypothetical framework, describing biostimulant-induced metabolic events in tomato plants, provides actionable knowledge necessary for industries and farmers to, confidently and innovatively, explore, design, and fully implement Si-based formulations and strategies into agronomic practices for sustainable agriculture and food production.
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Affiliation(s)
- Kekeletso H. Chele
- Department of Biochemistry, University of Johannesburg, Auckland Park, Johannesburg 2006, South Africa; (K.H.C.); (P.S.); (L.A.P.); (I.A.D.)
| | - Paul Steenkamp
- Department of Biochemistry, University of Johannesburg, Auckland Park, Johannesburg 2006, South Africa; (K.H.C.); (P.S.); (L.A.P.); (I.A.D.)
| | - Lizelle A. Piater
- Department of Biochemistry, University of Johannesburg, Auckland Park, Johannesburg 2006, South Africa; (K.H.C.); (P.S.); (L.A.P.); (I.A.D.)
| | - Ian A. Dubery
- Department of Biochemistry, University of Johannesburg, Auckland Park, Johannesburg 2006, South Africa; (K.H.C.); (P.S.); (L.A.P.); (I.A.D.)
| | - Johan Huyser
- International Research and Development Division, Omnia Group, Ltd., Johannesburg 2021, South Africa;
| | - Fidele Tugizimana
- Department of Biochemistry, University of Johannesburg, Auckland Park, Johannesburg 2006, South Africa; (K.H.C.); (P.S.); (L.A.P.); (I.A.D.)
- International Research and Development Division, Omnia Group, Ltd., Johannesburg 2021, South Africa;
- Correspondence: ; Tel.: +27-011-559-7784
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Mu H, Ci Z, Aisajan M, Liang Y, Liu X, DU X, Yu Q, Li Q, Li Y. [Analysis of metabolite differences in skin between Clapp's Favorite and its mutant Red Clapp's Favorite through non-targeted metabolomics]. Se Pu 2021; 39:1203-1212. [PMID: 34677015 PMCID: PMC9404071 DOI: 10.3724/sp.j.1123.2021.05002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
为了探究西洋梨品种茄梨及其红色芽变红茄梨成熟期果皮代谢产物差异,采用超高效液相色谱-质谱联用技术,对茄梨和红茄梨成熟期果皮进行非靶向代谢组学研究。通过主成分分析和正交偏最小二乘判别分析,构建了多变量统计分析模型,结合模型和变量重要性投影与最大差异倍数值,基于精确质量数、二级碎片以及同位素分布,使用PMDB(Plant Metabolome Database)数据库进行定性,筛选并鉴定出茄梨和红茄梨果皮中显著性变化(P<0.05, VIP(variable importance in project)≥1)的差异代谢物有83种,主要包括酚酸类、黄酮类和氨基酸类物质,涉及类黄酮代谢、氨基酸代谢、苯丙烷类代谢等代谢途径,其中53种物质含量上调,30种物质表达下调。通过KEGG(Kyoto Encyclopedia of Genes and Genomes)数据库进一步对差异代谢物质进行通路富集分析,差异代谢物主要分布在20条代谢途径中,P<0.05的代谢途径有6条,分别是类黄酮生物合成、黄酮和黄酮醇生物合成、苯丙烷生物合成、丁酸酯代谢、苯丙氨酸代谢、酪氨酸代谢。这些差异代谢物的变化可能是导致茄梨和红茄梨果皮色泽不同的原因。该研究从植物代谢组学角度初步揭示了茄梨和红茄梨成熟期果皮的代谢产物差异性。
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Affiliation(s)
- Hongmei Mu
- Yantai Academy of Agricultural Sciences Shandong Province, Yantai 26550, China
| | - Zhijuan Ci
- Yantai Academy of Agricultural Sciences Shandong Province, Yantai 26550, China
| | - Mamat Aisajan
- Xinjiang Academy of Agricultural Sciences, Urumchi 830091, China
| | - Yanping Liang
- Yunnan Academy of Agricultural Sciences, Yunnan 650205, China
| | - Xiaohong Liu
- Yantai Academy of Agricultural Sciences Shandong Province, Yantai 26550, China
| | - Xiaoyun DU
- Yantai Academy of Agricultural Sciences Shandong Province, Yantai 26550, China
| | - Qiang Yu
- Yantai Academy of Agricultural Sciences Shandong Province, Yantai 26550, China
| | - Qingyu Li
- Yantai Academy of Agricultural Sciences Shandong Province, Yantai 26550, China
| | - Yuanjun Li
- Yantai Academy of Agricultural Sciences Shandong Province, Yantai 26550, China
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Urinary metabolites of type 2 diabetes rats fed with palm oil-enriched high fat diet. Heliyon 2021; 7:e08075. [PMID: 34632142 PMCID: PMC8487023 DOI: 10.1016/j.heliyon.2021.e08075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 08/17/2021] [Accepted: 09/23/2021] [Indexed: 11/25/2022] Open
Abstract
High fat diet (HFD) is one of the risk factors of obesity and diabetes. Recommended diet regimen for diabetes is difficult to abide by especially for HFD as it adds flavour to the taste buds. In this study, palm oil-enriched HFD and normal diet were fed to nicotinamide-induced type 2 diabetes rats, respectively for six weeks. Additionally, metformin, a common drug used to treat diabetes was given to rats under treatment groups. We evaluated the change of urinary metabolites of diabetes rats fed with palm oil-enriched HFD, and also after metformin treatment. Rats were divided into six-groups with different feeding diets, disease condition and with or without metformin treatment. Rats’ urine were collected at the end of six weeks feeding program and subjected to 1H-NMR and multivariate data analysis to evaluate their metabolite profiles. At the early phase of diabetes, metabolites changes in diabetic rats were associated with the disease itself. Our data showed that continuous consumption of HFD altered various metabolic pathways of diabetic rats and caused detrimental effects to the rats. On the other hand, metformin treatment combined with normal diet lessened the physiological impacts caused by diabetes condition.
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Furlani IL, da Cruz Nunes E, Canuto GAB, Macedo AN, Oliveira RV. Liquid Chromatography-Mass Spectrometry for Clinical Metabolomics: An Overview. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1336:179-213. [PMID: 34628633 DOI: 10.1007/978-3-030-77252-9_10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/28/2023]
Abstract
Metabolomics is a discipline that offers a comprehensive analysis of metabolites in biological samples. In the last decades, the notable evolution in liquid chromatography and mass spectrometry technologies has driven an exponential progress in LC-MS-based metabolomics. Targeted and untargeted metabolomics strategies are important tools in health and medical science, especially in the study of disease-related biomarkers, drug discovery and development, toxicology, diet, physical exercise, and precision medicine. Clinical and biological problems can now be understood in terms of metabolic phenotyping. This overview highlights the current approaches to LC-MS-based metabolomics analysis and its applications in the clinical research.
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Affiliation(s)
- Izadora L Furlani
- Núcleo de Pesquisa em Cromatografia (Separare), Department of Chemistry, Federal University of São Carlos, São Carlos, SP, Brazil
| | - Estéfane da Cruz Nunes
- Department of Analytical Chemistry, Institute of Chemistry, Federal University of Bahia, Salvador, BA, Brazil
| | - Gisele A B Canuto
- Department of Analytical Chemistry, Institute of Chemistry, Federal University of Bahia, Salvador, BA, Brazil
| | - Adriana N Macedo
- Department of Chemistry, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Regina V Oliveira
- Núcleo de Pesquisa em Cromatografia (Separare), Department of Chemistry, Federal University of São Carlos, São Carlos, SP, Brazil.
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Viallon V, His M, Rinaldi S, Breeur M, Gicquiau A, Hemon B, Overvad K, Tjønneland A, Rostgaard-Hansen AL, Rothwell JA, Lecuyer L, Severi G, Kaaks R, Johnson T, Schulze MB, Palli D, Agnoli C, Panico S, Tumino R, Ricceri F, Verschuren WMM, Engelfriet P, Onland-Moret C, Vermeulen R, Nøst TH, Urbarova I, Zamora-Ros R, Rodriguez-Barranco M, Amiano P, Huerta JM, Ardanaz E, Melander O, Ottoson F, Vidman L, Rentoft M, Schmidt JA, Travis RC, Weiderpass E, Johansson M, Dossus L, Jenab M, Gunter MJ, Lorenzo Bermejo J, Scherer D, Salek RM, Keski-Rahkonen P, Ferrari P. A New Pipeline for the Normalization and Pooling of Metabolomics Data. Metabolites 2021; 11:631. [PMID: 34564446 PMCID: PMC8467830 DOI: 10.3390/metabo11090631] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 09/10/2021] [Accepted: 09/13/2021] [Indexed: 01/10/2023] Open
Abstract
Pooling metabolomics data across studies is often desirable to increase the statistical power of the analysis. However, this can raise methodological challenges as several preanalytical and analytical factors could introduce differences in measured concentrations and variability between datasets. Specifically, different studies may use variable sample types (e.g., serum versus plasma) collected, treated, and stored according to different protocols, and assayed in different laboratories using different instruments. To address these issues, a new pipeline was developed to normalize and pool metabolomics data through a set of sequential steps: (i) exclusions of the least informative observations and metabolites and removal of outliers; imputation of missing data; (ii) identification of the main sources of variability through principal component partial R-square (PC-PR2) analysis; (iii) application of linear mixed models to remove unwanted variability, including samples' originating study and batch, and preserve biological variations while accounting for potential differences in the residual variances across studies. This pipeline was applied to targeted metabolomics data acquired using Biocrates AbsoluteIDQ kits in eight case-control studies nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Comprehensive examination of metabolomics measurements indicated that the pipeline improved the comparability of data across the studies. Our pipeline can be adapted to normalize other molecular data, including biomarkers as well as proteomics data, and could be used for pooling molecular datasets, for example in international consortia, to limit biases introduced by inter-study variability. This versatility of the pipeline makes our work of potential interest to molecular epidemiologists.
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Affiliation(s)
- Vivian Viallon
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), 69008 Lyon, France; (M.H.); (S.R.); (M.B.); (A.G.); (B.H.); (L.D.); (M.J.); (M.J.G.); (R.M.S.); (P.K.-R.); (P.F.)
| | - Mathilde His
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), 69008 Lyon, France; (M.H.); (S.R.); (M.B.); (A.G.); (B.H.); (L.D.); (M.J.); (M.J.G.); (R.M.S.); (P.K.-R.); (P.F.)
| | - Sabina Rinaldi
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), 69008 Lyon, France; (M.H.); (S.R.); (M.B.); (A.G.); (B.H.); (L.D.); (M.J.); (M.J.G.); (R.M.S.); (P.K.-R.); (P.F.)
| | - Marie Breeur
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), 69008 Lyon, France; (M.H.); (S.R.); (M.B.); (A.G.); (B.H.); (L.D.); (M.J.); (M.J.G.); (R.M.S.); (P.K.-R.); (P.F.)
| | - Audrey Gicquiau
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), 69008 Lyon, France; (M.H.); (S.R.); (M.B.); (A.G.); (B.H.); (L.D.); (M.J.); (M.J.G.); (R.M.S.); (P.K.-R.); (P.F.)
| | - Bertrand Hemon
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), 69008 Lyon, France; (M.H.); (S.R.); (M.B.); (A.G.); (B.H.); (L.D.); (M.J.); (M.J.G.); (R.M.S.); (P.K.-R.); (P.F.)
| | - Kim Overvad
- Department of Public Health, Aarhus University Bartholins Alle 2, DK-8000 Aarhus, Denmark;
| | - Anne Tjønneland
- Danish Cancer Society Research Center, DK-2100 Copenhagen, Denmark; (A.T.); (A.L.R.-H.)
| | | | - Joseph A. Rothwell
- UVSQ, Inserm, CESP U1018, “Exposome and Heredity” Team, Université Paris-Saclay, Gustave Roussy, 94800 Villejuif, France; (J.A.R.); (L.L.); (G.S.)
| | - Lucie Lecuyer
- UVSQ, Inserm, CESP U1018, “Exposome and Heredity” Team, Université Paris-Saclay, Gustave Roussy, 94800 Villejuif, France; (J.A.R.); (L.L.); (G.S.)
| | - Gianluca Severi
- UVSQ, Inserm, CESP U1018, “Exposome and Heredity” Team, Université Paris-Saclay, Gustave Roussy, 94800 Villejuif, France; (J.A.R.); (L.L.); (G.S.)
- Department of Statistics, Computer Science, Applications “G. Parenti”, University of Florence, 50134 Florence, Italy
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (R.K.); (T.J.)
| | - Theron Johnson
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (R.K.); (T.J.)
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany;
- Institute of Nutritional Science, University of Potsdam, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), 50139 Florence, Italy;
| | - Claudia Agnoli
- Epidemiology and Prevention Unit Department of Research, Fondazione IRCCS—Istituto Nazionale dei Tumori, 20133 Milan, Italy;
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, 80131 Naples, Italy;
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Provincial Health Authority (ASP 7), 97100 Ragusa, Italy;
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, University of Turin, 10043 Orbassano, Italy;
- Unit of Epidemiology, Regional Health Service ASL TO3, 10095 Grugliasco, Italy
| | - W. M. Monique Verschuren
- National Institute for Public Health and the Environment, Centre for Nutrition, Prevention and Health Services, Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands; (W.M.M.V.); (P.E.)
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, 3584 CG Utrecht, The Netherlands; (C.O.-M.); (R.V.)
| | - Peter Engelfriet
- National Institute for Public Health and the Environment, Centre for Nutrition, Prevention and Health Services, Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands; (W.M.M.V.); (P.E.)
| | - Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, 3584 CG Utrecht, The Netherlands; (C.O.-M.); (R.V.)
| | - Roel Vermeulen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, 3584 CG Utrecht, The Netherlands; (C.O.-M.); (R.V.)
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, 3584 CM Utrecht, The Netherlands
| | - Therese Haugdahl Nøst
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, P.O. Box 6050, 9037 Tromsø, Norway; (T.H.N.); (I.U.)
| | - Ilona Urbarova
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, P.O. Box 6050, 9037 Tromsø, Norway; (T.H.N.); (I.U.)
| | - Raul Zamora-Ros
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), 08908 L’Hospitalet de Llobregat, Spain;
| | - Miguel Rodriguez-Barranco
- Escuela Andaluza de Salud Pública (EASP), 18011 Granada, Spain;
- Instituto de Investigación Biosanitaria ibs.GRANADA, 18012 Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; (P.A.); (J.M.H.); (E.A.)
| | - Pilar Amiano
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; (P.A.); (J.M.H.); (E.A.)
- Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, 20013 San Sebastián, Spain
- Biodonostia Health Research Institute, Group of Epidemiology of Chronic and Communicable Diseases, 20014 San Sebastián, Spain
| | - José Maria Huerta
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; (P.A.); (J.M.H.); (E.A.)
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, 30007 Murcia, Spain
| | - Eva Ardanaz
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; (P.A.); (J.M.H.); (E.A.)
- Navarra Public Health Institute, 31003 Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain
| | - Olle Melander
- Department of Clincal Sciences, Lund University, SE-21 428 Malmö, Sweden;
- Department of Emergency and Internal Medicine, Skåne University Hospital, SE-20 502 Malmö, Sweden
| | - Filip Ottoson
- Department of Immunotechnology, Lund University, SE-22 100 Lund, Sweden;
| | - Linda Vidman
- Department of Radiation Sciences, Oncology, Umeå University, SE-901 87 Umeå, Sweden; (L.V.); (M.R.)
| | - Matilda Rentoft
- Department of Radiation Sciences, Oncology, Umeå University, SE-901 87 Umeå, Sweden; (L.V.); (M.R.)
| | - Julie A. Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK; (J.A.S.); (R.C.T.)
| | - Ruth C. Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK; (J.A.S.); (R.C.T.)
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, 69008 Lyon, France;
| | - Mattias Johansson
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), 69008 Lyon, France;
| | - Laure Dossus
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), 69008 Lyon, France; (M.H.); (S.R.); (M.B.); (A.G.); (B.H.); (L.D.); (M.J.); (M.J.G.); (R.M.S.); (P.K.-R.); (P.F.)
| | - Mazda Jenab
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), 69008 Lyon, France; (M.H.); (S.R.); (M.B.); (A.G.); (B.H.); (L.D.); (M.J.); (M.J.G.); (R.M.S.); (P.K.-R.); (P.F.)
| | - Marc J. Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), 69008 Lyon, France; (M.H.); (S.R.); (M.B.); (A.G.); (B.H.); (L.D.); (M.J.); (M.J.G.); (R.M.S.); (P.K.-R.); (P.F.)
| | - Justo Lorenzo Bermejo
- Statistical Genetics Group, Institute of Medical Biometry, University of Heidelberg, 69120 Heidelberg, Germany; (J.L.B.); (D.S.)
| | - Dominique Scherer
- Statistical Genetics Group, Institute of Medical Biometry, University of Heidelberg, 69120 Heidelberg, Germany; (J.L.B.); (D.S.)
| | - Reza M. Salek
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), 69008 Lyon, France; (M.H.); (S.R.); (M.B.); (A.G.); (B.H.); (L.D.); (M.J.); (M.J.G.); (R.M.S.); (P.K.-R.); (P.F.)
| | - Pekka Keski-Rahkonen
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), 69008 Lyon, France; (M.H.); (S.R.); (M.B.); (A.G.); (B.H.); (L.D.); (M.J.); (M.J.G.); (R.M.S.); (P.K.-R.); (P.F.)
| | - Pietro Ferrari
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), 69008 Lyon, France; (M.H.); (S.R.); (M.B.); (A.G.); (B.H.); (L.D.); (M.J.); (M.J.G.); (R.M.S.); (P.K.-R.); (P.F.)
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Di Minno A, Gelzo M, Stornaiuolo M, Ruoppolo M, Castaldo G. The evolving landscape of untargeted metabolomics. Nutr Metab Cardiovasc Dis 2021; 31:1645-1652. [PMID: 33895079 DOI: 10.1016/j.numecd.2021.01.008] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 01/08/2021] [Accepted: 01/13/2021] [Indexed: 02/07/2023]
Abstract
AIMS Untargeted Metabolomics is a "hypothesis-generating discovery strategy" that compares groups of samples (e.g., cases vs controls); identifies the metabolome and establishes (early signs of) perturbations. Targeted Metabolomics helped gather key information in life sciences and disclosed novel strategies for the treatment of major clinical entities (e.g., malignancy, cardiovascular diabetes mellitus, drug toxicity). Because of its relevance in biomarker discovery, attention is now devoted to improving the translational potential of untargeted Metabolomics. DATA SYNTHESIS Expertise in laboratory medicine and in bioinformatics helps solve challenges/pitfalls that may bias metabolite profiling in untargeted Metabolomics. Clinical validation (availability/reliability of analytical instruments) and profitability (how many people will use the test) are mandatory steps for potential biomarkers. Biomarkers to predict individual patient response, patient populations that will best respond to specific strategies and/or approaches for an optimal response to treatment are now being developed. Additional help is expected from professional, and regulatory Agencies as to guidelines for study design and data acquisition and analysis, to be applied from the very beginning of a project. Evidence from food, plant, human, environmental, and animal research argues for the need of miniaturized approaches that employ low-cost, easy to use, mobile devices. ELISA kits with such characteristics that employ targeted metabolites are already available. CONCLUSIONS Improving knowledge of the mechanisms behind the disease status (pathophysiology) will help untargeted Metabolomics gather a direct positive impact on welfare and industrial advancements, and fade uncertainties perceived by regulators/payers and patients concerning variables related to miniaturised instruments and user-friendly software and databases.
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Affiliation(s)
- Alessandro Di Minno
- Dipartimento di Farmacia, Università Degli Studi di Napoli "Federico II", Napoli, 80131, Italy; CEINGE-Biotecnologie Avanzate, Naples, Italy
| | - Monica Gelzo
- CEINGE-Biotecnologie Avanzate, Naples, Italy; Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli Federico II, Naples, Italy
| | - Mariano Stornaiuolo
- Dipartimento di Farmacia, Università Degli Studi di Napoli "Federico II", Napoli, 80131, Italy
| | - Margherita Ruoppolo
- CEINGE-Biotecnologie Avanzate, Naples, Italy; Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli Federico II, Naples, Italy
| | - Giuseppe Castaldo
- CEINGE-Biotecnologie Avanzate, Naples, Italy; Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli Federico II, Naples, Italy.
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Tryggvadottir EA, Halldorsson TI, Landberg R, Hrolfsdottir L, Birgisdottir BE, Magnusdottir OK, Hreidarsdottir IT, Hardardottir H, Gunnarsdottir I. Higher Alkylresorcinol Concentrations, a Consequence of Whole-Grain Intake, are Inversely Associated with Gestational Diabetes Mellitus in Iceland. J Nutr 2021; 151:1159-1166. [PMID: 33693761 DOI: 10.1093/jn/nxaa449] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 10/12/2020] [Accepted: 12/22/2020] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND A diet rich in whole grains may provide benefits for pregnant women due to whole grains' high nutritional value and dietary fiber content. OBJECTIVES To study the associations of whole-grain consumption, as well as the plasma alkylresorcinol concentration, a whole-grain consumption biomarker, in early pregnancy with gestational diabetes mellitus (GDM) diagnoses. METHODS Subjects were women from the prospective study Pregnant Women in Iceland II (PREWICE II; n = 853) who attended their ultrasound appointment in gestational weeks 11-14 during the period from October 2017 to March 2018. During that visit, whole-grain consumption was estimated using a diet screening questionnaire, and blood samples were collected for analysis of plasma alkylresorcinols (ARs). Information on GDM diagnoses was later extracted from medical records. Multivariate log-binomial regression was used to evaluate the association of dietary whole-grain and AR concentrations with GDM. RESULTS In total, 14.9% of the women adhered to the national food-based dietary guidelines (n = 127), which recommend 2 portions of whole grains daily. GDM was diagnosed in 127 women (14.9%). The frequency of whole-grain consumption was lower in women who were later diagnosed with GDM compared to the women without GDM (median, 5 times/week vs. 6 times/week, respectively; P = 0.02). This difference was reflected in the lower median concentration of total AR in women diagnosed with GDM (163 nmol/L vs. 209 nmol/L, respectively; P < 0.01). The quartile with the highest concentrations of AR had a RR of 0.50 (95% CI: 0.27-0.90) of being diagnosed with GDM, in comparison to the lowest quartile. There was a significant dose response in the GDM risk with higher AR levels. CONCLUSIONS We found that a higher consumption of whole grains, reflected both by reported consumption according to the FFQ and AR biomarkers, was associated with a decreased risk of receiving a GDM diagnosis.
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Affiliation(s)
- Ellen A Tryggvadottir
- Unit for Nutrition Research, Landspitali University Hospital and Faculty of Food Science and Nutrition, University of Iceland, Reykjavik, Iceland
| | - Thorhallur I Halldorsson
- Unit for Nutrition Research, Landspitali University Hospital and Faculty of Food Science and Nutrition, University of Iceland, Reykjavik, Iceland.,Centre for Fetal Programming, Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Rikard Landberg
- Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Laufey Hrolfsdottir
- Unit for Nutrition Research, Landspitali University Hospital and Faculty of Food Science and Nutrition, University of Iceland, Reykjavik, Iceland.,Institution of Health Science Research, University of Akureyri and Akureyri Hospital, Akureyri, Iceland
| | - Bryndis E Birgisdottir
- Unit for Nutrition Research, Landspitali University Hospital and Faculty of Food Science and Nutrition, University of Iceland, Reykjavik, Iceland
| | - Ola K Magnusdottir
- Unit for Nutrition Research, Landspitali University Hospital and Faculty of Food Science and Nutrition, University of Iceland, Reykjavik, Iceland
| | | | - Hildur Hardardottir
- Faculty of Medicine, University of Iceland Reykjavík, Reykjavík, Iceland.,Livio Reykjavík, Reproductive Center in Reykjavík, Reykjavík, Iceland
| | - Ingibjorg Gunnarsdottir
- Unit for Nutrition Research, Landspitali University Hospital and Faculty of Food Science and Nutrition, University of Iceland, Reykjavik, Iceland
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Porzi M, Burton-Pimentel KJ, Walther B, Vergères G. Development of Personalized Nutrition: Applications in Lactose Intolerance Diagnosis and Management. Nutrients 2021; 13:nu13051503. [PMID: 33946892 PMCID: PMC8145768 DOI: 10.3390/nu13051503] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 04/22/2021] [Accepted: 04/27/2021] [Indexed: 12/23/2022] Open
Abstract
Recent discoveries in the “omics” field and the growing focus on preventive health have opened new avenues for personalized nutrition (PN), which is becoming an important theme in the strategic plans of organizations that are active in healthcare, food, and nutrition research. PN holds great potential for individual health optimization, disease management, public health interventions, and product innovation. However, there are still multiple challenges to overcome before PN can be truly embraced by the public and healthcare stakeholders. The diagnosis and management of lactose intolerance (LI), a common condition with a strong inter-individual component, is explored as an interesting example for the potential role of these technologies and the challenges of PN. From the development of genetic and metabolomic LI diagnostic tests that can be carried out in the home, to advances in the understanding of LI pathology and individualized treatment optimization, PN in LI care has shown substantial progress. However, there are still many research gaps to address, including the understanding of epigenetic regulation of lactase expression and how lactose is metabolized by the gut microbiota, in order to achieve better LI detection and effective therapeutic interventions to reverse the potential health consequences of LI.
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Affiliation(s)
- Millie Porzi
- Laboratory of Human Nutrition, Department of Health Sciences and Technology, ETH Zurich, 8092 Zurich, Switzerland;
| | - Kathryn J. Burton-Pimentel
- Agroscope, Federal Department of Economic Affairs, Education and Research EAER, 3003 Bern, Switzerland; (K.J.B.-P.); (B.W.)
| | - Barbara Walther
- Agroscope, Federal Department of Economic Affairs, Education and Research EAER, 3003 Bern, Switzerland; (K.J.B.-P.); (B.W.)
| | - Guy Vergères
- Agroscope, Federal Department of Economic Affairs, Education and Research EAER, 3003 Bern, Switzerland; (K.J.B.-P.); (B.W.)
- Correspondence: ; Tel.: +41-58-463-8154
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Mussap M, Noto A, Piras C, Atzori L, Fanos V. Slotting metabolomics into routine precision medicine. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2021. [DOI: 10.1080/23808993.2021.1911639] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Michele Mussap
- Department of Surgical Science, University of Cagliari, Monserrato, Italy
| | - Antonio Noto
- Department of Medical Sciences and Public Health, University of Cagliari, Monserrato, Italy
| | - Cristina Piras
- Department of Surgical Science, University of Cagliari, Monserrato, Italy
- Department of Biomedical Sciences, University of Cagliari, Monserrato, Italy
| | - Luigi Atzori
- Department of Biomedical Sciences, University of Cagliari, Monserrato, Italy
| | - Vassilios Fanos
- Department of Surgical Science, University of Cagliari, Monserrato, Italy
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Metabolomic Biomarkers of Healthy Dietary Patterns and Cardiovascular Outcomes. Curr Atheroscler Rep 2021; 23:26. [PMID: 33782776 DOI: 10.1007/s11883-021-00921-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/09/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW Healthy dietary patterns are recommended for prevention of CVD. Recently, metabolomics has been used to identify biomarkers of healthy dietary patterns and elucidate mechanisms underlying diet-disease associations. This review provides an overview of approaches to define healthy dietary patterns, discusses important issues related to using metabolomics to describe healthy dietary patterns, and summarizes studies identifying blood metabolites associated with hypothesis-driven healthy dietary patterns and cardiovascular risk factors and incident CVD. RECENT FINDINGS We identified 17 studies which reported on blood metabolomic signatures of 5 healthy dietary patterns (Healthy Eating Index, Alternative Healthy Eating Index, the Dietary Approaches to Stop Hypertension diet, Mediterranean diet, vegetarian diet). Four of these studies evaluated associations between diet-related metabolites and cardiovascular outcomes. Many metabolites replicated across different healthy dietary patterns, which suggest that they may represent biomarkers of generally healthy diets. Unsaturated lipids positively associated with healthy dietary patterns were inversely associated with incident CVD, suggesting that they may be a pathway through which diet is associated with a lower risk of CVD. Although many metabolites replicated across cross-sectional studies, few metabolites identified as candidate biomarkers of healthy diets in feeding studies replicated in observational studies. Additionally, limited evidence exists on the ability of diet-related metabolites to predict cardiovascular outcomes. Replication of candidate biomarkers of dietary patterns in different study designs and more studies evaluating the associations between diet-related metabolites and cardiovascular outcomes are needed.
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Kim T, Xie Y, Li Q, Artegoitia VM, Lebrilla CB, Keim NL, Adams SH, Krishnan S. Diet affects glycosylation of serum proteins in women at risk for cardiometabolic disease. Eur J Nutr 2021; 60:3727-3741. [PMID: 33770218 PMCID: PMC8437848 DOI: 10.1007/s00394-021-02539-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 03/11/2021] [Indexed: 02/06/2023]
Abstract
Background Glycoproteomics deals with glycoproteins that are formed by post-translational modification when sugars (like fucose and sialic acid) are attached to protein. Glycosylation of proteins influences function, but whether glycosylation is altered by diet is unknown. Objective To evaluate the effect of consuming a diet based on the Dietary Guidelines for Americans on circulating glycoproteins that have previously been associated with cardiometabolic diseases. Design Forty-four women, with one or more metabolic syndrome characteristics, completed an 8-week randomized controlled feeding intervention (n = 22) consuming a diet based on the Dietary Guidelines for Americans (DGA 2010); the remaining consumed a ‘typical American diet’ (TAD, n = 22). Fasting serum samples were obtained at week0 (baseline) and week8 (post-intervention); 17 serum proteins were chosen for targeted analyses. Protein standards and serum samples were analyzed in a UHPLC-MS protocol to determine peptide concentration and their glycan (fucosylation or sialylation) profiles. Data at baseline were used in correlational analyses; change in proteins and glycans following intervention were used in non-parametric analyses. Results At baseline, women with more metabolic syndrome characteristics had more fucosylation (total di-fucosylated proteins: p = 0.045) compared to women with a lesser number of metabolic syndrome characteristics. Dietary refined grain intake was associated with increased total fucosylation (ρ = − 0.530, p < 0.001) and reduced total sialylation (ρ = 0.311, p = 0.042). After the 8-week intervention, there was higher sialylation following the DGA diet (Total di-sialylated protein p = 0.018, poly-sialylated orosomucoid p = 0.012) compared to the TAD diet. Conclusions Based on this study, glycosylation of proteins is likely affected by dietary patterns; higher sialylation was associated with a healthier diet pattern. Altered glycosylation is associated with several diseases, particularly cancer and type 2 diabetes, and this study raises the possibility that diet may influence disease state by altering glycosylation. Clinical trial registration NCT02298725 at clinicaltrials.gov; https://clinicaltrials.gov/ct2/show/NCT02298725. Supplementary Information The online version contains supplementary material available at 10.1007/s00394-021-02539-7.
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Affiliation(s)
- Tyler Kim
- Global Disease Biology, University of California Davis, Davis, USA
| | - Yixuan Xie
- Department of Chemistry, University of California Davis, Davis, USA
| | - Qiongyu Li
- Department of Chemistry, University of California Davis, Davis, USA
| | - Virginia M Artegoitia
- Obesity and Metabolism Research Unit, USDA-WHNRC, 430 W. Health Sciences Drive, Davis, CA, 95616, USA
| | | | - Nancy L Keim
- Obesity and Metabolism Research Unit, USDA-WHNRC, 430 W. Health Sciences Drive, Davis, CA, 95616, USA.,Department of Nutrition, University of California Davis, Davis, USA
| | - Sean H Adams
- Department of Surgery, University of California Davis School of Medicine, Sacramento, USA.,Center for Alimentary and Metabolic Science, University of California Davis School of Medicine, Sacramento, USA
| | - Sridevi Krishnan
- Obesity and Metabolism Research Unit, USDA-WHNRC, 430 W. Health Sciences Drive, Davis, CA, 95616, USA. .,Department of Nutrition, University of California Davis, Davis, USA.
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Tashiro H, Shore SA. The Gut Microbiome and Ozone-induced Airway Hyperresponsiveness. Mechanisms and Therapeutic Prospects. Am J Respir Cell Mol Biol 2021; 64:283-291. [PMID: 33091322 DOI: 10.1165/rcmb.2020-0288tr] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
In recent years, several new asthma therapeutics have been developed. Although many of these agents show promise in treating allergic asthma, they are less effective against nonallergic forms of asthma. The gut microbiome has important roles in human health and disease, and a growing body of evidence indicates a link between the gut microbiome and asthma. Here, we review those data focusing on the role of the microbiome in mouse models of nonallergic asthma including obese asthma and asthma triggered by exposure to air pollutants. We describe the impact of antibiotics, diet, and early life events on airway responses to the air pollutant ozone, including in the setting of obesity. We also review potential mechanisms responsible for gut-lung interactions focusing on bacterial-derived metabolites, the immune system, and hormones. Finally, we discuss future prospects for gut microbiome-targeted therapies such as fecal microbiome transplantation, prebiotics, probiotics, and prudent use of antibiotics. Better understanding of the role of the microbiome in airway responses may lead to exploration of new microbiome-targeted therapies to control asthma, especially nonallergic forms of asthma.
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Affiliation(s)
- Hiroki Tashiro
- Division of Hematology, Respiratory Medicine and Oncology, Department of Internal Medicine, Faculty of Medicine, Saga University, Saga, Japan; and.,Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Stephanie A Shore
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
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Metabolite Differences of Polyphenols in Different Litchi Cultivars ( Litchi chinensis Sonn.) Based on Extensive Targeted Metabonomics. Molecules 2021; 26:molecules26041181. [PMID: 33672099 PMCID: PMC7926386 DOI: 10.3390/molecules26041181] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 02/09/2021] [Accepted: 02/09/2021] [Indexed: 11/16/2022] Open
Abstract
Litchi is an important fruit cultivated in tropical and subtropical areas with high nutritious and delicious flavor and the pulp is the main part of the fruit consumed. Previous studies found that litchi had high total phenol content and antioxidant activity, but most of them focused on the identification of single or a few phenolic components with a low throughput test, and the metabolic differences of cultivars are still unknown to a some extent. In this study we used widely targeted metabolome based on ultra-performance liquid chromatography coupled with mass spectrometry (UPLC-MS/MS) to analyze the polyphenol metabolites of five different genotypes of mature litchi fruit. A total of 126 polyphenol metabolites in eight categories were identified to reveal the composition and differences of polyphenol; 15 common differential metabolites and 20 specific differential metabolites to each cultivar were found for the first time. The results infer that flavonoids, flavonols, hydroxycinnamoyls and catechins are the main polyphenol metabolites of litchi pulp. Cluster analysis showed that there were three groups of polyphenols from high to low; early maturing Feizhixiao is a kind of high polyphenol content cultivars, especially in catechins, anthocyanins, flavonols, quinic acids and hydroxycinnamoyls. The polyphenols in the flesh of mature litchi are rich, and there are significant differences among cultivars; there was a level of correlation between the contents of phenolics and the maturity of litchi cultivars; the content of phenolics in early maturing litchi cultivars appeared higher than those of mid- to late-maturing cultivars. This experiment will provide significant reference information for cultivation, breeding, processing and consumption.
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Identification of Accessible Hepatic Gene Signatures for Interindividual Variations in Nutrigenomic Response to Dietary Supplementation of Omega-3 Fatty Acids. Cells 2021; 10:cells10020467. [PMID: 33671567 PMCID: PMC7926558 DOI: 10.3390/cells10020467] [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: 01/15/2021] [Revised: 02/15/2021] [Accepted: 02/17/2021] [Indexed: 12/29/2022] Open
Abstract
Dietary supplementation is a widely adapted strategy to maintain nutritional balance for improving health and preventing chronic diseases. Conflicting results in studies of similar design, however, suggest that there is substantial heterogenicity in individuals’ responses to nutrients, and personalized nutrition is required to achieve the maximum benefit of dietary supplementation. In recent years, nutrigenomics studies have been increasingly utilized to characterize the detailed genomic response to a specific nutrient, but it remains a daunting task to define the signatures responsible for interindividual variations to dietary supplements for tissues with limited accessibility. In this work, we used the hepatic response to omega-3 fatty acids as an example to probe such signatures. Through comprehensive analysis of nutrigenomic response to eicosapentaneoid acid (EPA) and/or docosahexaenoic acid (DHA) including both protein coding and long noncoding RNA (lncRNA) genes in human hepatocytes, we defined the EPA- and/or DHA-specific signature genes in hepatocytes. By analyzing gene expression variations in livers of healthy and relevant disease populations, we identified a set of protein coding and lncRNA signature genes whose responses to omega-3 fatty acid exhibit very high interindividual variabilities. The large variabilities of individual responses to omega-3 fatty acids were further validated in human hepatocytes from ten different donors. Finally, we profiled RNAs in exosomes isolated from the circulation of a liver-specific humanized mouse model, in which the humanized liver is the sole source of human RNAs, and confirmed the in vivo detectability of some signature genes, supporting their potential as biomarkers for nutrient response. Taken together, we have developed an efficient and practical procedure to identify nutrient-responsive gene signatures as well as accessible biomarkers for interindividual variations.
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Leeming ER, Louca P, Gibson R, Menni C, Spector TD, Le Roy CI. The complexities of the diet-microbiome relationship: advances and perspectives. Genome Med 2021; 13:10. [PMID: 33472701 PMCID: PMC7819159 DOI: 10.1186/s13073-020-00813-7] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 11/25/2020] [Indexed: 02/07/2023] Open
Abstract
Personalised dietary modulation of the gut microbiota may be key to disease management. Current investigations provide a broad understanding of the impact of diet on the composition and activity of the gut microbiota, yet detailed knowledge in applying diet as an actionable tool remains limited. Further to the relative novelty of the field, approaches are yet to be standardised and extremely heterogeneous research outcomes have ensued. This may be related to confounders associated with complexities in capturing an accurate representation of both diet and the gut microbiota. This review discusses the intricacies and current methodologies of diet-microbial relations, the implications and limitations of these investigative approaches, and future considerations that may assist in accelerating applications. New investigations should consider improved collection of dietary data, further characterisation of mechanistic interactions, and an increased focus on -omic technologies such as metabolomics to describe the bacterial and metabolic activity of food degradation, together with its crosstalk with the host. Furthermore, clinical evidence with health outcomes is required before therapeutic dietary strategies for microbial amelioration can be made. The potential to reach detailed understanding of diet-microbiota relations may depend on re-evaluation, progression, and unification of research methodologies, which consider the complexities of these interactions.
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Affiliation(s)
- Emily R Leeming
- The Department of Twin Research, St Thomas' Hospital, King's College London, 3-4th Floor South Wing Block D, Westminster Bridge Road, London, SE1 7EH, UK
| | - Panayiotis Louca
- The Department of Twin Research, St Thomas' Hospital, King's College London, 3-4th Floor South Wing Block D, Westminster Bridge Road, London, SE1 7EH, UK
| | - Rachel Gibson
- Department of Nutritional Sciences, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London, SE1 9NH, UK
| | - Cristina Menni
- The Department of Twin Research, St Thomas' Hospital, King's College London, 3-4th Floor South Wing Block D, Westminster Bridge Road, London, SE1 7EH, UK
| | - Tim D Spector
- The Department of Twin Research, St Thomas' Hospital, King's College London, 3-4th Floor South Wing Block D, Westminster Bridge Road, London, SE1 7EH, UK.
| | - Caroline I Le Roy
- The Department of Twin Research, St Thomas' Hospital, King's College London, 3-4th Floor South Wing Block D, Westminster Bridge Road, London, SE1 7EH, UK.
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