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Yin X, Prendiville O, McNamara AE, Brennan L. Targeted Metabolomic Approach to Assess the Reproducibility of Plasma Metabolites over a Four Month Period in a Free-Living Population. J Proteome Res 2022; 21:683-690. [PMID: 34978446 PMCID: PMC8902803 DOI: 10.1021/acs.jproteome.1c00440] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
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Metabolomics
is increasingly applied to investigate diet–disease
associations in nutrition research. However, studies of metabolite
reproducibility are limited, which could hamper their use within epidemiologic
studies. The objective of this study was to evaluate the metabolite
reproducibility during 4 months in a free-living population. In the
A-DIET Confirm study, fasting plasma and dietary data were collected
once a month for 4 months. Metabolites were measured using liquid
chromatography tandem mass spectrometry, and their reproducibility
was estimated using the intraclass correlation coefficient (ICC).
Regularized canonical correlation analysis (rCCA) was employed to
examine the diet–metabolite associations. In total, 138 metabolites
were measured, and median ICC values of 0.49 and 0.65 were found for
amino acids and biogenic amines, respectively. Acylcarnitines, lysophosphatidylcholines,
phosphatidylcholines, and sphingomyelins had median ICC values of
0.69, 0.66, 0.63, and 0.63, respectively. The median ICC for all metabolites
was 0.62, and 54% of metabolites had ICC values ≥0.60. Additionally,
the rCCA heat map revealed positive correlations between dairy/meat
intake and specific lipids. In conclusion, more than half of the metabolites
demonstrated good to excellent reproducibility. A single measurement
per subject could appropriately reflect the metabolites’ long-term
concentration levels and may also be sufficient for assessing disease
risk in epidemiologic studies. The study data are deposited in MetaboLights
(MTBLS3428 (www.ebi.ac.uk/metabolights)).
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Affiliation(s)
- Xiaofei Yin
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4 D4 V1W8, Ireland.,UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4 D4 V1W8, Ireland
| | - Orla Prendiville
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4 D4 V1W8, Ireland.,UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4 D4 V1W8, Ireland
| | - Aoife E McNamara
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4 D4 V1W8, Ireland.,UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4 D4 V1W8, Ireland
| | - Lorraine Brennan
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4 D4 V1W8, Ireland.,UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4 D4 V1W8, Ireland
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2
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Erkkilä AT, Manninen S, Fredrikson L, Bhalke M, Holopainen M, Ruuth M, Lankinen M, Käkelä R, Öörni K, Schwab US. Lipidomic changes of LDL after consumption of Camelina sativa oil, fatty fish and lean fish in subjects with impaired glucose metabolism-A randomized controlled trial. J Clin Lipidol 2021; 15:743-751. [PMID: 34548243 DOI: 10.1016/j.jacl.2021.08.060] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 08/30/2021] [Accepted: 08/30/2021] [Indexed: 12/18/2022]
Abstract
BACKGROUND There is little knowledge on the effects of alpha-linolenic acid (ALA) and n-3 long-chain polyunsaturated fatty acids (n-3 LCPUFA) on the LDL lipidome and aggregation of LDL particles. OBJECTIVE We examined if consumption of Camelina sativa oil (CSO) as a source of ALA, fatty fish (FF) as a source of n-3 LCPUFA and lean fish (LF) as a source of fish protein affect the lipidome of LDL as compared to a control diet. METHODS Participants with impaired glucose tolerance (39 women and 40 men) were randomized to 4 study groups (CSO providing 10 g/d ALA, FF and LF [both 4 fish meals/wk] and control limiting their fish and ALA intake) in a 12-week, parallel trial. Diets were instructed and dietary fats were provided to the participants. The lipidome of LDL particles isolated from samples collected at baseline and after intervention was analyzed with electrospray ionization-tandem mass spectrometry. RESULTS In the CSO group, the relative concentrations of saturated and monounsaturated cholesteryl ester species in LDL decreased and the species with ALA increased. In the FF group, LDL phosphatidylcholine (PC) species containing n-3 LCPUFA increased. There was a significant positive correlation between the change in total sphingomyelin and change in LDL aggregation, while total PC and triunsaturated PC species were inversely associated with LDL aggregation when all the study participants were included in the analysis. CONCLUSION Dietary intake of CSO and FF modifies the LDL lipidome to contain more polyunsaturated and less saturated lipid species. The LDL surface lipids are associated with LDL aggregation.
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Affiliation(s)
- Arja T Erkkilä
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.
| | - Suvi Manninen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Linda Fredrikson
- Helsinki University Lipidomics Unit (HiLIPID), Helsinki Institute for Life Sciences (HiLIFE) and Biocenter Finland, University of Helsinki, Helsinki, Finland; Molecular and Integrative Biosciences Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Monika Bhalke
- Helsinki University Lipidomics Unit (HiLIPID), Helsinki Institute for Life Sciences (HiLIFE) and Biocenter Finland, University of Helsinki, Helsinki, Finland; Molecular and Integrative Biosciences Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Minna Holopainen
- Helsinki University Lipidomics Unit (HiLIPID), Helsinki Institute for Life Sciences (HiLIFE) and Biocenter Finland, University of Helsinki, Helsinki, Finland; Molecular and Integrative Biosciences Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Maija Ruuth
- Atherosclerosis Research Laboratory, Wihuri Research Institute, Helsinki, Finland; Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Maria Lankinen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Reijo Käkelä
- Helsinki University Lipidomics Unit (HiLIPID), Helsinki Institute for Life Sciences (HiLIFE) and Biocenter Finland, University of Helsinki, Helsinki, Finland; Molecular and Integrative Biosciences Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Katariina Öörni
- Atherosclerosis Research Laboratory, Wihuri Research Institute, Helsinki, Finland; Molecular and Integrative Biosciences Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Ursula S Schwab
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland; Department of Medicine, Endocrinology and Clinical Nutrition, Kuopio University Hospital, Kuopio, Finland
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3
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Luque de Castro M, Quiles-Zafra R. Lipidomics: An omics discipline with a key role in nutrition. Talanta 2020; 219:121197. [DOI: 10.1016/j.talanta.2020.121197] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 05/16/2020] [Accepted: 05/19/2020] [Indexed: 12/14/2022]
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4
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5
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Picó C, Serra F, Rodríguez AM, Keijer J, Palou A. Biomarkers of Nutrition and Health: New Tools for New Approaches. Nutrients 2019; 11:E1092. [PMID: 31100942 PMCID: PMC6567133 DOI: 10.3390/nu11051092] [Citation(s) in RCA: 116] [Impact Index Per Article: 23.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 05/07/2019] [Accepted: 05/08/2019] [Indexed: 12/18/2022] Open
Abstract
A main challenge in nutritional studies is the valid and reliable assessment of food intake, as well as its effects on the body. Generally, food intake measurement is based on self-reported dietary intake questionnaires, which have inherent limitations. They can be overcome by the use of biomarkers, capable of objectively assessing food consumption without the bias of self-reported dietary assessment. Another major goal is to determine the biological effects of foods and their impact on health. Systems analysis of dynamic responses may help to identify biomarkers indicative of intake and effects on the body at the same time, possibly in relation to individuals' health/disease states. Such biomarkers could be used to quantify intake and validate intake questionnaires, analyse physiological or pathological responses to certain food components or diets, identify persons with specific dietary deficiency, provide information on inter-individual variations or help to formulate personalized dietary recommendations to achieve optimal health for particular phenotypes, currently referred as "precision nutrition." In this regard, holistic approaches using global analysis methods (omics approaches), capable of gathering high amounts of data, appear to be very useful to identify new biomarkers and to enhance our understanding of the role of food in health and disease.
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Affiliation(s)
- Catalina Picó
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics and Obesity), CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn) and Instituto de Investigación Sanitaria Illes Balears (IdISBa), University of the Balearic Islands, ES-07122 Palma de Mallorca, Spain.
| | - Francisca Serra
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics and Obesity), CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn) and Instituto de Investigación Sanitaria Illes Balears (IdISBa), University of the Balearic Islands, ES-07122 Palma de Mallorca, Spain.
| | - Ana María Rodríguez
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics and Obesity), CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn) and Instituto de Investigación Sanitaria Illes Balears (IdISBa), University of the Balearic Islands, ES-07122 Palma de Mallorca, Spain.
| | - Jaap Keijer
- Human and Animal Physiology, Wageningen University, PO Box 338, 6700 AH Wageningen, The Netherlands.
| | - Andreu Palou
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics and Obesity), CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn) and Instituto de Investigación Sanitaria Illes Balears (IdISBa), University of the Balearic Islands, ES-07122 Palma de Mallorca, Spain.
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6
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Fatima A, Connaughton RM, Weiser A, Murphy AM, O'Grada C, Ryan M, Brennan L, O'Gaora P, Roche HM. Weighted Gene Co-Expression Network Analysis Identifies Gender Specific Modules and Hub Genes Related to Metabolism and Inflammation in Response to an Acute Lipid Challenge. Mol Nutr Food Res 2017; 62. [PMID: 28952191 DOI: 10.1002/mnfr.201700388] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2017] [Revised: 08/24/2017] [Indexed: 01/16/2023]
Abstract
SCOPE Inflammation is characteristic of diet-related diseases including obesity and type 2 diabetes (T2D). However, biomarkers of inflammation that reflect the early stage metabolic derangements are not optimally sensitive. Lipid challenges elicit postprandial inflammatory and metabolic responses. Gender-specific transcriptomic networks of the peripheral blood mononuclear cell (PBMC) were constructed in response to a lipid challenge. METHODS AND RESULTS Eighty-six adult males and females of comparable age, anthropometric, and biochemical profiles completed an oral lipid tolerance test (OLTT). PBMC transcriptome was profiled following OLTT. Weighted gene coexpression networks were constructed separately for males and females. Functional ontology analysis of network modules was performed and hub genes identified. Two modules of interest were identified in females-an "inflammatory" module and an "energy metabolism" module. NLRP3, which plays a central role in inflammation and STARD3 that is involved in cholesterol metabolism, were identified as hub genes for the respective modules. CONCLUSION The OLTT induced some gender-specific correlations of gene coexpression network modules. In females, biological processes relating to energy metabolism and inflammation pathways were evident. This suggests a gender specific link between inflammation and energy metabolism in response to lipids. In contrast, G-protein coupled receptor protein signaling pathway was common to both genders.
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Affiliation(s)
- Attia Fatima
- Nutrigenomics Research Group, UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Republic of Ireland.,National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan
| | - Ruth M Connaughton
- Nutrigenomics Research Group, UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Republic of Ireland.,Institute of Food and Health, University College Dublin, Dublin 4, Republic of Ireland
| | - Anna Weiser
- Nutrigenomics Research Group, UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Republic of Ireland.,Nutritional Physiology, Technische Universität München, 85354, Freising, Germany
| | - Aoife M Murphy
- Nutrigenomics Research Group, UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Republic of Ireland.,Institute of Food and Health, University College Dublin, Dublin 4, Republic of Ireland
| | - Colm O'Grada
- Nutrigenomics Research Group, UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Republic of Ireland
| | - Miriam Ryan
- Institute of Food and Health, University College Dublin, Dublin 4, Republic of Ireland
| | - Lorraine Brennan
- Institute of Food and Health, University College Dublin, Dublin 4, Republic of Ireland
| | - Peadar O'Gaora
- UCD School of Biomolecular and Biomedical Science, UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Republic of Ireland
| | - Helen M Roche
- Nutrigenomics Research Group, UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Republic of Ireland.,Institute of Food and Health, University College Dublin, Dublin 4, Republic of Ireland
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7
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Brouwer-Brolsma EM, Brennan L, Drevon CA, van Kranen H, Manach C, Dragsted LO, Roche HM, Andres-Lacueva C, Bakker SJL, Bouwman J, Capozzi F, De Saeger S, Gundersen TE, Kolehmainen M, Kulling SE, Landberg R, Linseisen J, Mattivi F, Mensink RP, Scaccini C, Skurk T, Tetens I, Vergeres G, Wishart DS, Scalbert A, Feskens EJM. Combining traditional dietary assessment methods with novel metabolomics techniques: present efforts by the Food Biomarker Alliance. Proc Nutr Soc 2017; 76:619-627. [PMID: 29137687 DOI: 10.1017/s0029665117003949] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
FFQ, food diaries and 24 h recall methods represent the most commonly used dietary assessment tools in human studies on nutrition and health, but food intake biomarkers are assumed to provide a more objective reflection of intake. Unfortunately, very few of these biomarkers are sufficiently validated. This review provides an overview of food intake biomarker research and highlights present research efforts of the Joint Programming Initiative 'A Healthy Diet for a Healthy Life' (JPI-HDHL) Food Biomarkers Alliance (FoodBAll). In order to identify novel food intake biomarkers, the focus is on new food metabolomics techniques that allow the quantification of up to thousands of metabolites simultaneously, which may be applied in intervention and observational studies. As biomarkers are often influenced by various other factors than the food under investigation, FoodBAll developed a food intake biomarker quality and validity score aiming to assist the systematic evaluation of novel biomarkers. Moreover, to evaluate the applicability of nutritional biomarkers, studies are presently also focusing on associations between food intake biomarkers and diet-related disease risk. In order to be successful in these metabolomics studies, knowledge about available electronic metabolomics resources is necessary and further developments of these resources are essential. Ultimately, present efforts in this research area aim to advance quality control of traditional dietary assessment methods, advance compliance evaluation in nutritional intervention studies, and increase the significance of observational studies by investigating associations between nutrition and health.
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Affiliation(s)
- Elske M Brouwer-Brolsma
- Division of Human Nutrition,Wageningen University,PO Box 17,6700 AA Wageningen,The Netherlands
| | | | - Christian A Drevon
- Department of Nutrition,Institute of Basic Medical Sciences,Faculty of Medicine,University of Oslo,Oslo,Norway
| | - Henk van Kranen
- National Institute for Public Health and the Environment,Bilthoven,The Netherlands
| | - Claudine Manach
- INRA,UMR 1019, Human Nutrition Unit,Université Clermont Auvergne,Clermont-Ferrand,France
| | - Lars Ove Dragsted
- Department of Nutrition,Exercise and Sports,University of Copenhagen,Copenhagen,Denmark
| | - Helen M Roche
- Nutrigenomics Research Group,UCD Institute of Food and Health,School of Public Health,Physiotherapy and Sports Science,Belfield,Dublin 4,Ireland
| | - Cristina Andres-Lacueva
- Biomarkers and Nutrimetabolomic Laboratory,Department of Nutrition,Food Sciences and Gastronomy, XaRTA, INSA,Faculty of Pharmacy and Food Sciences,University of Barcelona,Barcelona,Spain
| | - Stephan J L Bakker
- Department of Internal Medicine,University Medical Center Groningen, University of Groningen,Groningen,The Netherlands
| | - Jildau Bouwman
- TNO,Netherlands Organisation for Applied Scientific Research,Zeist,The Netherlands
| | - Francesco Capozzi
- Department of Agricultural and Food Science,University of Bologna,Italy
| | - Sarah De Saeger
- Faculty of Pharmaceutical Sciences, Department of Bioanalysis,Ghent University,Ghent,Belgium
| | | | - Marjukka Kolehmainen
- University of Eastern Finland,Institute of Public Health and Clinical Nutrition,Clinical Nutrition,Kuopio,Finland
| | - Sabine E Kulling
- Max Rubner-Institut, Bundesforschungsinstitut für Ernährung und Lebensmittel,Karlsruhe,Germany
| | - Rikard Landberg
- Department of Biology and Biological Engineering, Food and Nutrition Science,Chalmers University of Technology,Gothenburg,Sweden
| | - Jakob Linseisen
- Institute of Epidemiology II,Helmholtz Centre Munich,Neuherberg,Germany
| | - Fulvio Mattivi
- Fondazione Edmund Mach,Department of Food Quality and Nutrition,Research and Innovation Centre,San Michele all'Adige,Italy
| | - Ronald P Mensink
- Department of Human Biology,NUTRIM School of Nutrition and Translational Research in Metabolism,Maastricht University Medical Center,Maastricht,The Netherlands
| | - Cristina Scaccini
- Consiglio per la Ricerca in Agricoltura e l'analisi dell'economia agraria - Food and Nutrition Research Center,Roma,Italy
| | - Thomas Skurk
- ZIEL Institute for Food and Health,Core Facility Human Studies,Nutritional Medicine,Technical University of Munich,Freising,Germany
| | - Inge Tetens
- Division of Food,Disease Prevention and Toxicology,National Food Institute,Technical University of Denmark,Kongens Lyngby,Denmark
| | - Guy Vergeres
- Agroscope,Institute for Food Sciences IFS,Bern,Switzerland
| | - David S Wishart
- Departments of Biological Sciences and Computing Science,University of Alberta,Edmonton,Canada
| | - Augustin Scalbert
- International Agency for Research on Cancer,Nutrition and Metabolism Section,Lyon,France
| | - Edith J M Feskens
- Division of Human Nutrition,Wageningen University,PO Box 17,6700 AA Wageningen,The Netherlands
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