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Ferreira H, Duarte D, Carneiro TJ, Costa C, Barbosa JC, Rodrigues JE, Alves P, Vasconcelos M, Pinto E, Gomes A, Gil AM. Impact of a legumes diet on the human gut microbiome articulated with fecal and plasma metabolomes: A pilot study. Clin Nutr ESPEN 2024; 63:332-345. [PMID: 38964655 DOI: 10.1016/j.clnesp.2024.06.051] [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: 04/18/2024] [Revised: 06/12/2024] [Accepted: 06/27/2024] [Indexed: 07/06/2024]
Abstract
BACKGROUND & AIMS Legumes intake is known to be associated with several health benefits the origins of which is still a matter of debate. This paper addresses a pilot small cohort to probe for metabolic aspects of the interplay between legumes intake, human metabolism and gut microbiota. METHODS Untargeted nuclear magnetic resonance (NMR) metabolomics of blood plasma and fecal extracts was carried out, in tandem with qPCR analysis of feces, to assess the impact of an 8-week pilot legumes diet intervention on the fecal and plasma metabolomes and gut microbiota of 19 subjects. RESULTS While the high inter-individual variability hindered the detection of statistically significant changes in the gut microbiome, increased fecal glucose and decreased threonine levels were noted. Correlation analysis between the microbiome and fecal metabolome lead to putative hypotheses regarding the metabolic activities of prevalent bacteria groups (Clostridium leptum subgroup, Roseburia spp., and Faecalibacterium prausnitzii). These included elevated fecal glucose as a preferential energy source, the involvement of valerate/isovalerate and reduced protein degradation in gut microbiota. Plasma metabolomics advanced mannose and betaine as potential markers of legume intake and unveiled a decrease in formate and ketone bodies, the latter suggesting improved energy utilization through legume carbohydrates. Amino acid metabolism was also apparently affected, as suggested by lowered urea, histidine and threonine levels. CONCLUSIONS Despite the high inter-individual gut microbiome variability characterizing the small cohort addressed, combination of microbiological measurements and untargeted metabolomics unveiled several metabolic effects putatively related to legumes intake. If confirmed in larger cohorts, our findings will support the inclusion of legumes in diets and contribute valuable new insight into the origins of associated health benefits.
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Affiliation(s)
- Helena Ferreira
- Universidade Católica Portuguesa, CBQF - Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior de Biotecnologia, Porto, Portugal; Department of Chemistry and CICECO-Aveiro Institute of Materials, University of Aveiro, Aveiro, Portugal
| | - Daniela Duarte
- Department of Chemistry and CICECO-Aveiro Institute of Materials, University of Aveiro, Aveiro, Portugal
| | - Tatiana J Carneiro
- Department of Chemistry and CICECO-Aveiro Institute of Materials, University of Aveiro, Aveiro, Portugal
| | - Célia Costa
- Universidade Católica Portuguesa, CBQF - Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior de Biotecnologia, Porto, Portugal
| | - Joana C Barbosa
- Universidade Católica Portuguesa, CBQF - Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior de Biotecnologia, Porto, Portugal
| | - João E Rodrigues
- Department of Chemistry and CICECO-Aveiro Institute of Materials, University of Aveiro, Aveiro, Portugal
| | - Paulo Alves
- Universidade Católica Portuguesa, CIIS - Centro de Investigação Interdisciplinar em Saúde, Escola Enfermagem (Porto), Portugal
| | - Marta Vasconcelos
- Universidade Católica Portuguesa, CBQF - Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior de Biotecnologia, Porto, Portugal
| | - Elisabete Pinto
- Universidade Católica Portuguesa, CBQF - Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior de Biotecnologia, Porto, Portugal; EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
| | - Ana Gomes
- Universidade Católica Portuguesa, CBQF - Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior de Biotecnologia, Porto, Portugal
| | - Ana M Gil
- Department of Chemistry and CICECO-Aveiro Institute of Materials, University of Aveiro, Aveiro, Portugal.
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Burak MF, Stanley TL, Lawson EA, Campbell SL, Lynch L, Hasty AH, Domingos AI, Dixit VD, Hotamışlıgil GS, Sheedy FJ, Dixon AE, Brinkley TE, Hill JA, Donath MY, Grinspoon SK. Adiposity, immunity, and inflammation: interrelationships in health and disease: a report from 24th Annual Harvard Nutrition Obesity Symposium, June 2023. Am J Clin Nutr 2024; 120:257-268. [PMID: 38705359 DOI: 10.1016/j.ajcnut.2024.04.029] [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: 02/07/2024] [Revised: 04/09/2024] [Accepted: 04/29/2024] [Indexed: 05/07/2024] Open
Abstract
The rapidly evolving field of immunometabolism explores how changes in local immune environments may affect key metabolic and cellular processes, including that of adipose tissue. Importantly, these changes may contribute to low-grade systemic inflammation. In turn, chronic low-grade inflammation affecting adipose tissue may exacerbate the outcome of metabolic diseases. Novel advances in our understanding of immunometabolic processes may critically lead to interventions to reduce disease severity and progression. An important example in this regard relates to obesity, which has a multifaceted effect on immunity, activating the proinflammatory pathways such as the inflammasome and disrupting cellular homeostasis. This multifaceted effect of obesity can be investigated through study of downstream conditions using cellular and systemic investigative techniques. To further explore this field, the National Institutes of Health P30 Nutrition Obesity Research Center at Harvard, in partnership with Harvard Medical School, assembled experts to present at its 24th Annual Symposium entitled "Adiposity, Immunity, and Inflammation: Interrelationships in Health and Disease" on 7 June, 2023. This manuscript seeks to synthesize and present key findings from the symposium, highlighting new research and novel disease-specific advances in the field. Better understanding the interaction between metabolism and immunity offers promising preventative and treatment therapies for obesity-related immunometabolic diseases.
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Affiliation(s)
- Mehmet Furkan Burak
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; Department of Molecular Metabolism and Sabri Ülker Center, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
| | - Takara L Stanley
- Metabolism Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Division of Pediatric Endocrinology, Massachusetts General Hospital for Children and Harvard Medical School, Boston, MA, United States
| | - Elizabeth A Lawson
- Neuroendocrine Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Sophia L Campbell
- Metabolism Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Lydia Lynch
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Alyssa H Hasty
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, VA Tennessee Valley Healthcare System, Nashville, TN, United States
| | - Ana I Domingos
- Department of Physiology, Anatomy & Genetics, Oxford University, Oxford, United Kingdom
| | - Vishwa D Dixit
- Department of Pathology, Department of Comparative Medicine, Department of Immunobiology, Yale School of Medicine, and Yale Center for Research on Aging, New Haven, CT, United States
| | - Gökhan S Hotamışlıgil
- Department of Molecular Metabolism and Sabri Ülker Center, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Broad Institute of Harvard and MIT, Cambridge, MA, United States
| | - Frederick J Sheedy
- School of Biochemistry & Immunology, Trinity Biomedical Sciences Institute, Trinity College, Dublin, Ireland
| | - Anne E Dixon
- Department of Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, United States
| | - Tina E Brinkley
- Department of Internal Medicine, Section of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Joseph A Hill
- Division of Cardiology, Department of Internal Medicine, Department of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Marc Y Donath
- Department of Biomedicine, University of Basel, Basel, Switzerland; Clinic of Endocrinology, Diabetes & Metabolism, University Hospital Basel, Basel, Switzerland
| | - Steven K Grinspoon
- Metabolism Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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Yang PJ, Tsai EM, Hou MF, Lee YJ, Wang TN. Global untargeted and individual targeted plasma metabolomics of breast cancer recurrence modified by hormone receptors. Breast Cancer 2024; 31:659-670. [PMID: 38652345 DOI: 10.1007/s12282-024-01579-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 03/26/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND Breast cancer is a heterogeneous and complex etiological disease. Understanding perturbations of circulating metabolites could improve prognosis. METHODS We recruited breast cancer patients from Kaohsiung Medical University (KMU) to perform untargeted (case-control design) and targeted (patient cohort) metabolomics analyses in the discovery and validation phases to evaluate interaction effects between clinical factors and plasma metabolites using multivariable Cox proportional hazards model. RESULTS In the discovery phase, partial least squares-discriminant analysis (PLS-DA) showed that plasma metabolites were significantly different between recurrent and non-recurrent breast cancer patients. Metabolite set enrichment analysis (MSEA) and metabolomic pathway analysis (MetPA) showed that valine, leucine, and isoleucine degradation was the significant pathway, and volcano plot showed significant ten upregulated and two downregulated metabolites between recurrent and non-recurrent cases. Combined with receiver operating characteristic (ROC) curve and biological significance, creatine, valine, methionine, and mannose were selected for the validation phase. In this patient cohort with 41 new-recurrent vs. 248 non-recurrent breast cancer cases, followed for 720.49 person-years, compared with low level of valine, high valine level was significantly negatively associated with recurrent breast cancer (aHR: 0.36, 95% CI: 0.18-0.72, P = 0.004), especially in ER-negative and PR-negative status. There were interaction effects between valine and ER (Pinteraction = 0.006) as well as PR (Pinteraction = 0.002) on recurrent breast cancer. After Bonferroni correction, stratification effects between valine and hormone receptors were still significant. CONCLUSION Our study revealed that plasma metabolites were significantly different between recurrent and non-recurrent patients, proposing therapeutic insights for breast cancer prognosis.
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Affiliation(s)
- Pei-Jing Yang
- Department of Public Health, College of Health Science, Kaohsiung Medical University, No. 100, Shin-Chuan 1St Road, Sanmin Dist., Kaohsiung, 80708, Taiwan
| | - Eing-Mei Tsai
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, No.100, Shin-Chuan 1st Road, Sanmin Dist., Kaohsiung, 80708, Taiwan
- Department of Obstetrics and Gynecology, Kaohsiung Medical University Chung-Ho Memorial Hospital, No.100, Tzyou 1st Road, Sanmin Dist., Kaohsiung, 80756, Taiwan
| | - Ming-Feng Hou
- Division of Breast Oncology and Surgery, Department of Surgery, Kaohsiung Medical University Chung-Ho Memorial Hospital, No.100, Tzyou 1st Road, Sanmin Dist., Kaohsiung, 80756, Taiwan
- Department of Biomedical Science and Environmental Biology, College of Life Science, Kaohsiung Medical University, No.100, Shin-Chuan 1st Road, Sanmin Dist., Kaohsiung, 80708, Taiwan
| | - Yen-Jung Lee
- Center for Research Resources and Development, Kaohsiung Medical University, No.100, Shin-Chuan 1st Road, Sanmin Dist., Kaohsiung, 80708, Taiwan
| | - Tsu-Nai Wang
- Department of Public Health, College of Health Science, Kaohsiung Medical University, No. 100, Shin-Chuan 1St Road, Sanmin Dist., Kaohsiung, 80708, Taiwan.
- Research Center for Environmental Medicine, Kaohsiung Medical University, No.100, Shin-Chuan 1st Road, Sanmin Dist., Kaohsiung, 80708, Taiwan.
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Kronsteiner-Gicevic S, Bogl LH, Wakolbinger M, Müller S, Dietrich J, De Keyzer W, Bullón-Vela V, Selinger E, Keller V, Martínez Tabar A, Asif T, Craig L, Kyle J, Schlesinger S, Köder C, Ouradova A, Henikova M, Van Lippevelde W, Cahova M, Martínez González MA, Willett W, Bes-Rastrollo M, Gojda J, De Henauw S, Keller M, Kuzma M, Schernhammer E. Development of the VEGANScreener, a Tool for a Quick Diet Quality Assessment among Vegans in Europe. Nutrients 2024; 16:1344. [PMID: 38732591 PMCID: PMC11085181 DOI: 10.3390/nu16091344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 04/26/2024] [Accepted: 04/26/2024] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND Plant-based diets are not inherently healthy. Similar to omnivorous diets, they may contain excessive amounts of sugar, sodium, and saturated fats, or lack diversity. Moreover, vegans might be at risk of inadequate intake of certain vitamins and minerals commonly found in foods that they avoid. We developed the VEGANScreener, a tool designed to assess the diet quality of vegans in Europe. METHODS Our approach combined best practices in developing diet quality metrics with scale development approaches and involved the following: (a) narrative literature synthesis, (b) evidence evaluation by an international panel of experts, and (c) translation of evidence into a diet screener. We employed a modified Delphi technique to gather opinions from an international expert panel. RESULTS Twenty-five experts in the fields of nutrition, epidemiology, preventive medicine, and diet assessment participated in the first round, and nineteen participated in the subsequent round. Initially, these experts provided feedback on a pool of 38 proposed items from the literature review. Consequently, 35 revised items, with 17 having multiple versions, were suggested for further consideration. In the second round, 29 items were retained, and any residual issues were addressed in the final consensus meeting. The ultimate screener draft encompassed 29 questions, with 17 focusing on foods and nutrients to promote, and 12 addressing foods and nutrients to limit. The screener contained 24 food-based and 5 nutrient-based questions. CONCLUSIONS We elucidated the development process of the VEGANScreener, a novel diet quality screener for vegans. Future endeavors involve contrasting the VEGANScreener against benchmark diet assessment methodologies and nutritional biomarkers and testing its acceptance. Once validated, this instrument holds potential for deployment as a self-assessment application for vegans and as a preliminary dietary screening and counseling tool in healthcare settings.
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Affiliation(s)
- Selma Kronsteiner-Gicevic
- Department of Epidemiology, Center for Public Health, Medical University of Vienna, 1090 Vienna, Austria
- Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, 1090 Vienna, Austria
| | - Leonie H. Bogl
- Department Nutrition and Dietetics, Faculty of Health Professions, Bern University of Applied Sciences, 3008 Bern, Switzerland
| | - Maria Wakolbinger
- Department of Social and Preventive Medicine, Center for Public Health, Medical University of Vienna, 1090 Vienna, Austria
| | - Sandra Müller
- Research Institute for Plant-Based Nutrition, 35444 Biebertal, Germany
| | - Joelina Dietrich
- Research Institute for Plant-Based Nutrition, 35444 Biebertal, Germany
| | - Willem De Keyzer
- School of Bioscience and Industrial Technology, HOGENT University of Applied Sciences and Arts, 9000 Ghent, Belgium
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium
| | - Vanessa Bullón-Vela
- Department of Preventive Medicine and Public Health, University of Navarra-IdiSNA, 31008 Pamplona, Spain (M.B.-R.)
| | - Eliska Selinger
- Department of Epidemiology and Biostatistics, Third Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic
- Center for Public Health Promotion, National Institute of Public Health, 100 00 Prague, Czech Republic
| | - Vanessa Keller
- Research Institute for Plant-Based Nutrition, 35444 Biebertal, Germany
| | - Ainara Martínez Tabar
- Department of Preventive Medicine and Public Health, University of Navarra-IdiSNA, 31008 Pamplona, Spain (M.B.-R.)
| | - Tooba Asif
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium
| | - Leone Craig
- Institute of Applied Health Sciences, University of Aberdeen, Aberdeen AB24 3FX, UK
| | - Janet Kyle
- Institute of Applied Health Sciences, University of Aberdeen, Aberdeen AB24 3FX, UK
| | - Sabrina Schlesinger
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich, Heine University Düsseldorf, 40225 Düsseldorf, Germany
| | - Christian Köder
- Research Institute for Plant-Based Nutrition, 35444 Biebertal, Germany
| | - Anna Ouradova
- Department of Internal Medicine, University Hospital Kralovske Vinohrady, Third Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic
| | - Marina Henikova
- Department of Internal Medicine, University Hospital Kralovske Vinohrady, Third Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic
| | - Wendy Van Lippevelde
- Faculty of Economics and Business, Department of Marketing Innovation & Organisation Unit Consumer Behaviour, Ghent University, 9000 Ghent, Belgium
| | - Monika Cahova
- Institute for Clinical and Experimental Medicine, 140 21 Prague, Czech Republic
| | - Miguel Angel Martínez González
- Department of Preventive Medicine and Public Health, University of Navarra-IdiSNA, 31008 Pamplona, Spain (M.B.-R.)
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
- Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBERobn), 28029 Madrid, Spain
| | - Walter Willett
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, University of Navarra-IdiSNA, 31008 Pamplona, Spain (M.B.-R.)
- Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBERobn), 28029 Madrid, Spain
| | - Jan Gojda
- Department of Internal Medicine, University Hospital Kralovske Vinohrady, Third Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic
| | - Stefaan De Henauw
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium
| | - Markus Keller
- Research Institute for Plant-Based Nutrition, 35444 Biebertal, Germany
| | - Marek Kuzma
- Institute of Microbiology of the CAS, 142 20 Prague, Czech Republic
- Department of Analytical Chemistry, Faculty of Science, Palacky University, 779 00 Olomouc, Czech Republic
| | - Eva Schernhammer
- Department of Epidemiology, Center for Public Health, Medical University of Vienna, 1090 Vienna, Austria
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
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Baciu C, Ghosh S, Naimimohasses S, Rahmani A, Pasini E, Naghibzadeh M, Azhie A, Bhat M. Harnessing Metabolites as Serum Biomarkers for Liver Graft Pathology Prediction Using Machine Learning. Metabolites 2024; 14:254. [PMID: 38786731 PMCID: PMC11122840 DOI: 10.3390/metabo14050254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 04/24/2024] [Accepted: 04/26/2024] [Indexed: 05/25/2024] Open
Abstract
Graft injury affects over 50% of liver transplant (LT) recipients, but non-invasive biomarkers to diagnose and guide treatment are currently limited. We aimed to develop a biomarker of graft injury by integrating serum metabolomic profiles with clinical variables. Serum from 55 LT recipients with biopsy confirmed metabolic dysfunction-associated steatohepatitis (MASH), T-cell mediated rejection (TCMR) and biliary complications was collected and processed using a combination of LC-MS/MS assay. The metabolomic profiles were integrated with clinical information using a multi-class Machine Learning (ML) classifier. The model's efficacy was assessed through the Out-of-Bag (OOB) error estimate evaluation. Our ML model yielded an overall accuracy of 79.66% with an OOB estimate of the error rate at 19.75%. The model exhibited a maximum ability to distinguish MASH, with an OOB error estimate of 7.4% compared to 22.2% for biliary and 29.6% for TCMR. The metabolites serine and serotonin emerged as the topmost predictors. When predicting binary outcomes using three models: Biliary (biliary vs. rest), MASH (MASH vs. rest) and TCMR (TCMR vs. rest); the AUCs were 0.882, 0.972 and 0.896, respectively. Our ML tool integrating serum metabolites with clinical variables shows promise as a non-invasive, multi-class serum biomarker of graft pathology.
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Affiliation(s)
| | | | | | | | | | | | | | - Mamatha Bhat
- Ajmera Transplant Program, University Health Network, Toronto, ON M5G 2C4, Canada; (C.B.); (S.G.); (S.N.); (A.R.); (E.P.); (M.N.); (A.A.)
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Khodorova N, Calvez J, Pilard S, Benoit S, Gaudichon C, Rutledge DN. Urine Metabolite Profiles after the Consumption of a Low- and a High-Digestible Protein Meal, and Comparison of Urine Normalization Techniques. Metabolites 2024; 14:177. [PMID: 38668305 PMCID: PMC11052258 DOI: 10.3390/metabo14040177] [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: 02/14/2024] [Revised: 03/08/2024] [Accepted: 03/15/2024] [Indexed: 04/28/2024] Open
Abstract
In the context of dietary transition toward plant proteins, it is necessary to ensure protein security in populations. It would thus be of interest to identify biomarkers of altered protein digestibility in populations. We examined the association between urinary metabolites and the acute intake of low- or highly digestible protein in healthy volunteers. The urine samples were collected before and 9 h after the ingestion of a meal containing either no protein, zein (low-digestible) or whey protein isolate (highly digestible). The liquid chromatography-high resolution mass spectrometry metabolomics approach was used for the profiling of the urinary metabolites. For the standardization of metabolomics data sets, osmolality-based, standard normal variates (SNV) and probabilistic quotient normalization (PQN) techniques were used. The ANOVA-based factorial method, AComDim_ICA, was used for chemometrics analysis. The osmolality adjustment has a beneficial effect and the subsequent mathematical normalization improves the chemometric analysis further. Some changes in the urinary metabolomes were observed 9 h after the meal in the three groups. However, there was no difference in the urine metabolome between groups. No biomarker of protein digestibility can be identified after the ingestion of a single meal, even when marked differences in the digestion efficiency of protein have been observed.
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Affiliation(s)
- Nadezda Khodorova
- UMR Physiologie de la Nutrition et du Comportement Alimentaire, Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120 Palaiseau, France; (J.C.); (S.B.); (C.G.)
| | - Juliane Calvez
- UMR Physiologie de la Nutrition et du Comportement Alimentaire, Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120 Palaiseau, France; (J.C.); (S.B.); (C.G.)
| | - Serge Pilard
- Plateforme Analytique, Université de Picardie Jules Verne, 80000 Amiens, France;
| | - Simon Benoit
- UMR Physiologie de la Nutrition et du Comportement Alimentaire, Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120 Palaiseau, France; (J.C.); (S.B.); (C.G.)
| | - Claire Gaudichon
- UMR Physiologie de la Nutrition et du Comportement Alimentaire, Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120 Palaiseau, France; (J.C.); (S.B.); (C.G.)
| | - Douglas N. Rutledge
- Faculté de Pharmacie, Université Paris-Saclay, 91400 Orsay, France;
- Muséum National d’Histoire Naturelle, 75005 Paris, France
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7
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Playdon MC, Tinker LF, Prentice RL, Loftfield E, Hayden KM, Van Horn L, Sampson JN, Stolzenberg-Solomon R, Lampe JW, Neuhouser ML, Moore SC. Measuring diet by metabolomics: a 14-d controlled feeding study of weighed food intake. Am J Clin Nutr 2024; 119:511-526. [PMID: 38212160 PMCID: PMC10884612 DOI: 10.1016/j.ajcnut.2023.10.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 09/12/2023] [Accepted: 10/11/2023] [Indexed: 01/13/2024] Open
Abstract
BACKGROUND Metabolomics has the potential to enhance dietary assessment by revealing objective measures of many aspects of human food intake. Although metabolomics studies indicate that hundreds of metabolites are associated with dietary intake, correlations have been modest (e.g., r < 0.50), and few have been evaluated in controlled feeding studies. OBJECTIVES The aim of this study was to evaluate associations between metabolites and weighed food and beverage intake in a controlled feeding study of habitual diet. METHODS Healthy postmenopausal females from the Women's Health Initiative (N = 153) were provided with a customized 2-wk controlled diet designed to emulate their usual diet. Metabolites were measured by liquid chromatography tandem mass spectrometry in end-of-study 24-h urine and fasting serum samples (1293 urine metabolites; 1113 serum metabolites). We calculated partial Pearson correlations between these metabolites and intake of 65 food groups, beverages, and supplements during the feeding study. The threshold for significance was Bonferroni-adjusted to account for multiple testing (5.94 × 10-07 for urine metabolites; 6.91 × 10-07 for serum metabolites). RESULTS Significant diet-metabolite correlations were identified for 23 distinct foods, beverages, and supplements (171 distinct metabolites). Among foods, strong metabolite correlations (r ≥ 0.60) were evident for citrus (highest r = 0.80), dairy (r = 0.65), and broccoli (r = 0.63). Among beverages and supplements, strong correlations were evident for coffee (r = 0.86), alcohol (r = 0.69), multivitamins (r = 0.69), and vitamin E supplements (r = 0.65). Moderate correlations (r = 0.50-0.60) were also observed for avocado, fish, garlic, grains, onion, poultry, and black tea. Correlations were specific; each metabolite correlated with one food, beverage, or supplement, except for metabolites correlated with juice or multivitamins. CONCLUSIONS Metabolite levels had moderate to strong correlations with weighed intake of habitually consumed foods, beverages, and supplements. These findings exceed in magnitude those previously observed in population studies and exemplify the strong potential of metabolomics to contribute to nutrition research. The Women's Health Initiative is registered at clinicaltrials.gov as NCT00000611.
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Affiliation(s)
- Mary C Playdon
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT; Department of Population Health Sciences, University of Utah, Salt Lake City, UT; Cancer Control and Population Sciences Division, Huntsman Cancer Institute, Salt Lake City, UT; Division of Cancer Epidemiology and Genetics, National Cancer institute, Rockville, MD
| | - Lesley F Tinker
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center and University of Washington, Seattle, WA
| | - Ross L Prentice
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center and University of Washington, Seattle, WA
| | - Erikka Loftfield
- Division of Cancer Epidemiology and Genetics, National Cancer institute, Rockville, MD
| | - Kathleen M Hayden
- School of Medicine, Wake Forest Baptist Medical Center, Winston-Salem, NC
| | - Linda Van Horn
- Feinberg School of Medicine, Northwestern University, Chicago IL
| | - Joshua N Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer institute, Rockville, MD
| | | | - Johanna W Lampe
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center and University of Washington, Seattle, WA
| | - Marian L Neuhouser
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center and University of Washington, Seattle, WA
| | - Steven C Moore
- Division of Cancer Epidemiology and Genetics, National Cancer institute, Rockville, MD.
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8
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Aaslyng MD, Dam AB, Petersen IL, Christoffersen T. Protein content and amino acid composition in the diet of Danish vegans: a cross-sectional study. BMC Nutr 2023; 9:131. [PMID: 37968717 PMCID: PMC10647079 DOI: 10.1186/s40795-023-00793-y] [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: 09/30/2022] [Accepted: 11/10/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND A growing proportion of the population are replacing their dietary animal protein with plant protein. A particular example of this trend is the vegan diet, which excludes all food items of animal origin. However, the DIAAS score for individual plant proteins is generally lower than that of animal proteins due to an unbalanced amino acid composition and lower bioavailability. Care must therefore be taken to meet the nutritional recommendations in the daily food intake. METHODS A three-day dietary food record was carried out by 40 Danish vegans in a cross-sectional study. The data were analysed, with particular emphasis on protein requirements and the essential amino acid composition of the diet. RESULTS The protein recommendations were met on all three days by 60% of the participants. In contrast, 18% did not meet the protein recommendations on any of the three days and 7% met the recommendations on only one of the days. Lysine was the most limiting amino acid (only 50% met the recommendations every day) followed by the sulphur-containing amino acids (recommendations met by 67.5%), leucine and valine (recommendations met by 70%). Combining both the amount of protein and the intake of the essential amino acids showed that less than half of the participants met the recommendations on all three days (47.5%) and 35% did not meet the recommendations on any days or on one day only. CONCLUSION In conclusion, our study showed that many of the participants in the present study failed to meet the daily protein intake requirements, both on single days and on all three days. Furthermore, the food intake was found to have an inadequate amino acid composition and was particularly limited by the essential amino acids lysine, the sulphur-containing amino acids, and leucine and valine. This could be ascribed to the fact that only a limited number of protein sources were consumed during a day.
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Affiliation(s)
- Margit D Aaslyng
- University College Absalon, Nutrition and Health, Sdr. Stationsvej 30, Slagelse, 4200, Denmark.
| | - Astrid Bøgebjerg Dam
- University College Absalon, Nutrition and Health, Sdr. Stationsvej 30, Slagelse, 4200, Denmark
| | - Iben Lykke Petersen
- Department of Food Science, University of Copenhagen, Rolighedsvej 26, Frederiksberg C, 1958, Denmark
| | - Tenna Christoffersen
- University College Absalon, Nutrition and Health, Sdr. Stationsvej 30, Slagelse, 4200, Denmark
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Ryu Y, Hwang JS, Bo Noh K, Park SH, Seo JH, Shin YJ. Adipose Mesenchymal Stem Cell-Derived Exosomes Promote the Regeneration of Corneal Endothelium Through Ameliorating Senescence. Invest Ophthalmol Vis Sci 2023; 64:29. [PMID: 37850944 PMCID: PMC10593138 DOI: 10.1167/iovs.64.13.29] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 09/14/2023] [Indexed: 10/19/2023] Open
Abstract
Purpose Human corneal endothelial cells (hCECs) have been considered unable to regenerate in vivo, resulting in corneal decompensation after significant loss of hCECs. adipose-derived mesenchymal stem cell (ASC)-derived exosomes can regenerate tissues and organs. In this study, we investigated whether ASC-derived exosomes could protect and regenerate CECs. Methods We performed cell viability and cell-cycle analyses to evaluate the effect of ASC-derived exosomes on the regeneration capacity of cultured hCECs. Transforming growth factor-β (TGF-β) and hydrogen peroxide (H2O2) were used to induce biological stress in CECs. The effect of ASC-derived exosomes on CECs was investigated in vivo. ASC-derived exosomes were introduced into rat CECs using electroporation, and rat corneas were injured using cryoinjury. Next-generation sequencing analysis was performed to compare the differentially expressed microRNAs (miRNAs) between ASC-derived and hCEC-derived exosomes. Results ASC-derived exosomes induced CEC proliferation and suppressed TGF-β- or H2O2-induced oxidative stress and senescence. ASC-derived exosomes protect hCECs against TGF-β- or H2O2-induced endothelial-mesenchymal transition and mitophagy. In an in vivo study, ASC-derived exosomes promoted wound healing of rat CECs and protected the corneal endothelium against cryoinjury-induced corneal endothelium damage. Next-generation sequencing analysis revealed differentially expressed miRNAs for ASC-derived and hCEC-derived exosomes. They are involved in lysine degradation, adherens junction, the TGF-β signaling pathway, the p53 signaling pathway, the Hippo signaling pathway, the forkhead box O (FoxO) signaling pathway, regulation of actin cytoskeleton, and RNA degradation based on Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Conclusions ASC-derived exosomes promoted wound healing and regeneration of endothelial cells by inducing a shift in the cell cycle and suppressing senescence and autophagy.
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Affiliation(s)
- Yunkyoung Ryu
- Department of Ophthalmology, Hallym University Medical Center, Hallym University College of Medicine, Seoul, Republic of Korea
- Hallym BioEyeTech Research Center, Hallym University College of Medicine, Seoul, Republic of Korea
| | - Jin Sun Hwang
- Department of Ophthalmology, Hallym University Medical Center, Hallym University College of Medicine, Seoul, Republic of Korea
- Hallym BioEyeTech Research Center, Hallym University College of Medicine, Seoul, Republic of Korea
| | - Kyung Bo Noh
- Department of Ophthalmology, Hallym University Medical Center, Hallym University College of Medicine, Seoul, Republic of Korea
| | - Se Hie Park
- Department of Ophthalmology, Hallym University Medical Center, Hallym University College of Medicine, Seoul, Republic of Korea
- Hallym BioEyeTech Research Center, Hallym University College of Medicine, Seoul, Republic of Korea
| | - Je Hyun Seo
- Veterans Medical Research Institute, Veterans Health Service Medical Center, Seoul, Republic of Korea
| | - Young Joo Shin
- Department of Ophthalmology, Hallym University Medical Center, Hallym University College of Medicine, Seoul, Republic of Korea
- Hallym BioEyeTech Research Center, Hallym University College of Medicine, Seoul, Republic of Korea
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10
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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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11
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Tore EC, Eussen SJPM, Bastani NE, Dagnelie PC, Elshorbagy AK, Grootswagers P, Kožich V, Olsen T, Refsum H, Retterstøl K, Stehouwer CDA, Stolt ETK, Vinknes KJ, van Greevenbroek MMJ. The Associations of Habitual Intake of Sulfur Amino Acids, Proteins and Diet Quality with Plasma Sulfur Amino Acid Concentrations: The Maastricht Study. J Nutr 2023; 153:2027-2040. [PMID: 37164267 DOI: 10.1016/j.tjnut.2023.05.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 04/12/2023] [Accepted: 05/04/2023] [Indexed: 05/12/2023] Open
Abstract
BACKGROUND Plasma sulfur amino acids (SAAs), i.e., methionine, total cysteine (tCys), total homocysteine (tHcy), cystathionine, total glutathione (tGSH), and taurine, are potential risk factors for obesity and cardiometabolic disorders. However, except for plasma tHcy, little is known about how dietary intake modifies plasma SAA concentrations. OBJECTIVE To investigate whether the intake of SAAs and proteins or diet quality is associated with plasma SAAs. METHODS Data from a cross-sectional subset of The Maastricht Study (n = 1145, 50.5% men, 61 interquartile range: [55, 66] y, 22.5% with prediabetes and 34.3% with type 2 diabetes) were investigated. Dietary intake was assessed using a validated food frequency questionnaire. The intake of SAAs (total, methionine, and cysteine) and proteins (total, animal, and plant) was estimated from the Dutch and Danish food composition tables. Diet quality was assessed using the Dutch Healthy Diet Index, the Mediterranean Diet Score, and the Dietary Approaches to Stop Hypertension score. Fasting plasma SAAs were measured by liquid chromatography (LC) tandem mass spectrometry (MS) (LC/MS-MS). Associations were investigated with multiple linear regressions with tertiles of dietary intake measures (main exposures) and z-standardized plasma SAAs (outcomes). RESULTS Intake of total SAAs and total proteins was positively associated with plasma tCys and cystathionine. Associations were stronger in women and in those with normal body weight. Higher intake of cysteine and plant proteins was associated with lower plasma tHcy and higher cystathionine. Higher methionine intake was associated with lower plasma tGSH, whereas cysteine intake was positively associated with tGSH. Higher intake of methionine and animal proteins was associated with higher plasma taurine. Better diet quality was consistently related to lower plasma tHcy concentrations, but it was not associated with the other SAAs. CONCLUSION Targeted dietary modifications might be effective in modifying plasma concentrations of tCys, tHcy, and cystathionine, which have been associated with obesity and cardiometabolic disorders.
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Affiliation(s)
- Elena C Tore
- Department of Internal Medicine, Maastricht University, Maastricht, the Netherlands; CARIM School for Cardiovascular Disease, Maastricht University, Maastricht, the Netherlands.
| | - Simone J P M Eussen
- CARIM School for Cardiovascular Disease, Maastricht University, Maastricht, the Netherlands; Department of Epidemiology, Maastricht University, Maastricht, the Netherlands; CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Nasser E Bastani
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Pieter C Dagnelie
- Department of Internal Medicine, Maastricht University, Maastricht, the Netherlands; CARIM School for Cardiovascular Disease, Maastricht University, Maastricht, the Netherlands
| | - Amany K Elshorbagy
- Department of Pharmacology, University of Oxford, Oxford, United Kingdom; Department of Physiology, Faculty of Medicine, University of Alexandria, Alexandria, Egypt
| | - Pol Grootswagers
- Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
| | - Viktor Kožich
- Department of Pediatrics and Inherited Metabolic Disorders, Charles University-First Faculty of Medicine, and General University Hospital in Prague, Czech Republic
| | - Thomas Olsen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Helga Refsum
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway; Department of Pharmacology, University of Oxford, Oxford, United Kingdom
| | - Kjetil Retterstøl
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Coen DA Stehouwer
- Department of Internal Medicine, Maastricht University, Maastricht, the Netherlands; CARIM School for Cardiovascular Disease, Maastricht University, Maastricht, the Netherlands
| | - Emma T K Stolt
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Kathrine J Vinknes
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Marleen M J van Greevenbroek
- Department of Internal Medicine, Maastricht University, Maastricht, the Netherlands; CARIM School for Cardiovascular Disease, Maastricht University, Maastricht, the Netherlands
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12
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West S, Monteyne AJ, van der Heijden I, Stephens FB, Wall BT. Nutritional Considerations for the Vegan Athlete. Adv Nutr 2023; 14:774-795. [PMID: 37127187 PMCID: PMC10334161 DOI: 10.1016/j.advnut.2023.04.012] [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: 02/22/2023] [Revised: 04/19/2023] [Accepted: 04/27/2023] [Indexed: 05/03/2023] Open
Abstract
Accepting a continued rise in the prevalence of vegan-type diets in the general population is also likely to occur in athletic populations, it is of importance to assess the potential impact on athletic performance, adaptation, and recovery. Nutritional consideration for the athlete requires optimization of energy, macronutrient, and micronutrient intakes, and potentially the judicious selection of dietary supplements, all specified to meet the individual athlete's training and performance goals. The purpose of this review is to assess whether adopting a vegan diet is likely to impinge on such optimal nutrition and, where so, consider evidence based yet practical and pragmatic nutritional recommendations. Current evidence does not support that a vegan-type diet will enhance performance, adaptation, or recovery in athletes, but equally suggests that an athlete can follow a (more) vegan diet without detriment. A clear caveat, however, is that vegan diets consumed spontaneously may induce suboptimal intakes of key nutrients, most notably quantity and/or quality of dietary protein and specific micronutrients (eg, iron, calcium, vitamin B12, and vitamin D). As such, optimal vegan sports nutrition requires (more) careful consideration, evaluation, and planning. Individual/seasonal goals, training modalities, athlete type, and sensory/cultural/ethical preferences, among other factors, should all be considered when planning and adopting a vegan diet.
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Affiliation(s)
- Sam West
- Public Health and Sport Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, United Kingdom
| | - Alistair J Monteyne
- Public Health and Sport Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, United Kingdom
| | - Ino van der Heijden
- Public Health and Sport Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, United Kingdom
| | - Francis B Stephens
- Public Health and Sport Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, United Kingdom
| | - Benjamin T Wall
- Public Health and Sport Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, United Kingdom.
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13
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Gueugneau M, Capel F, Monfoulet LE, Polakof S. Metabolomics signatures of plant protein intake: effects of amino acids and compounds associated with plant protein on cardiometabolic health. Curr Opin Clin Nutr Metab Care 2023; 26:189-194. [PMID: 36892966 DOI: 10.1097/mco.0000000000000908] [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: 03/10/2023]
Abstract
PURPOSE OF REVIEW An increase in the plant-based characteristics of the diet is now recommended for human and planetary health. There is growing evidence that plant protein (PP) intake has beneficial effects on cardiometabolic risk. However, proteins are not consumed isolated and the protein package (lipid species, fiber, vitamins, phytochemicals, etc) may contribute, besides the protein effects per se, to explain the beneficial effects associated with PP-rich diets. RECENT FINDINGS Recent studies have shown the potential of nutrimetabolomics to apprehend the complexity of both the human metabolism and the dietary habits, by providing signatures associated to the consumption of PP-rich diets. Those signatures comprised an important proportion of metabolites that were representative of the protein package, including specific amino acids (branched-chain amino acids and their derivates, glycine, lysine), but also lipid species (lysophosphatidylcholine, phosphatidylcholine, plasmalogens) and polyphenol metabolites (catechin sulfate, conjugated valerolactones and phenolic acids). SUMMARY Further studies are needed to go deeper in the identification of all metabolites making part of the specific metabolomic signatures, associated to the large range of protein package constituents and their effects on the endogenous metabolism, rather than to the protein fraction itself. The objective is to determine the bioactive metabolites, as well as the modulated metabolic pathways and the mechanisms responsible for the observed effects on cardiometabolic health.
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Affiliation(s)
- Marine Gueugneau
- Université Clermont-Auvergne, INRAE, UMR1019, Unité Nutrition Humaine, Clermont-Ferrand, France
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14
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Chen L, Dai J, Fei Z, Liu X, Zhu Y, Rahman ML, Lu R, Mitro SD, Yang J, Hinkle SN, Chen Z, Song Y, Zhang C. Metabolomic biomarkers of the mediterranean diet in pregnant individuals: A prospective study. Clin Nutr 2023; 42:384-393. [PMID: 36753781 PMCID: PMC10029322 DOI: 10.1016/j.clnu.2023.01.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 12/14/2022] [Accepted: 01/08/2023] [Indexed: 01/15/2023]
Abstract
BACKGROUND AND AIMS Metabolomic profiling is a systematic approach to identifying biomarkers for dietary patterns. Yet, metabolomic markers for dietary patterns in pregnant individuals have not been investigated. The aim of this study was to identify plasma metabolomic markers and metabolite panels that are associated with the Mediterranean diet in pregnant individuals. METHODS This is a prospective study of 186 pregnant individuals who had both dietary intake and metabolomic profiles measured from the Fetal Growth Studies-Singletons cohort. Dietary intakes during the peri-conception/1st trimester and the second trimester were accessed at 8-13 and 16-22 weeks of gestation, respectively. Adherence to the Mediterranean diet was measured by the alternate Mediterranean Diet (aMED) score. Fasting plasma samples were collected at 16-22 weeks and untargeted metabolomics profiling was performed using the mass spectrometry-based platforms. Metabolites individually or jointly associated with aMED scores were identified using linear regression and least absolute shrinkage and selection operator (LASSO) regression models with adjustment for potential confounders, respectively. RESULTS Among 459 annotated metabolites, 64 and 41 were individually associated with the aMED scores of the diet during the peri-conception/1st trimester and during the second trimester, respectively. Fourteen metabolites were associated with the Mediterranean diet in both time windows. Most Mediterranean diet-related metabolites were lipids (e.g., acylcarnitine, cholesteryl esters (CEs), linoleic acid, long-chain triglycerides (TGs), and phosphatidylcholines (PCs), amino acids, and sugar alcohols. LASSO regressions also identified a 10 metabolite-panel that were jointly associated with aMED score of the diet during the peri-conception/1st trimester (AUC: 0.74; 95% CI: 0.57, 0.91) and a 3 metabolites-panel in the 2nd trimester (AUC: 0.68; 95% CI: 0.50, 0.86). CONCLUSION We identified plasma metabolomic markers for the Mediterranean diet among pregnant individuals. Some of them have also been reported in previous studies among non-pregnant populations, whereas others are novel. The results from our study warrant replication in pregnant individuals by future studies. CLINICAL TRIAL REGISTRATION NUMBER This study was registered at ClinicalTrials.gov.
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Affiliation(s)
- Liwei Chen
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, 90095, USA.
| | - Jin Dai
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, 90095, USA.
| | - Zhe Fei
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, 90095, USA.
| | - Xinyue Liu
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, 90095, USA.
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, 94612, USA.
| | - Mohammad L Rahman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
| | - Ruijin Lu
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institute of Health, Bethesda, MD, USA.
| | - Susanna D Mitro
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institute of Health, Bethesda, MD, USA.
| | - Jiaxi Yang
- Global Center for Asian Women's Health, and Bia-Echo Asia Centre for Reproductive Longevity & Equality, Yong Loo Lin School of Medicine, National University of Singapore, 117549, Singapore; Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, 119228, Singapore.
| | - Stefanie N Hinkle
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Zhen Chen
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institute of Health, Bethesda, MD, USA.
| | - Yiqing Song
- Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA.
| | - Cuilin Zhang
- Global Center for Asian Women's Health, and Bia-Echo Asia Centre for Reproductive Longevity & Equality, Yong Loo Lin School of Medicine, National University of Singapore, 117549, Singapore; Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, 119228, Singapore.
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15
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Assessment of reference intervals of acylcarnitines in newborns in Siberia. ACTA BIOMEDICA SCIENTIFICA 2022. [DOI: 10.29413/abs.2022-7.5-1.10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Background. The incidence of diseases associated with impaired transport and oxidation of fatty acids is from 1:5,000 to 1:9,000 newborns. High morbidity, risk of death in the absence of timely correction, non-specificity of clinical manifestations define the importance of their timely laboratory diagnosis based on the determination of free carnitine and acylcarnitines in the blood. Reference values for free carnitine and acylcarnitines vary in different populations. The aim. To determine the reference intervals of free carnitine and acylcarnitines in newborns of the Irkutsk region and to compare them with similar reference intervals in newborns in other countries. Methods. The analysis of 229 samples of drу blood spots of healthy newborn children of the Irkutsk region aged from 0 to 7 days was carried out. Analysis of acylcarnitine concentrations was performed using high performance liquid chromatography with tandem mass spectrometry. Results. 2.5 and 97.5 percentiles (µmol/l) were calculateed for 13 acylcarnitines: C0 – [8.78; 38.08]; C2 – [3.55; 19.09]; C3 – [0.33; 1.96]; C4 – [0.08; 0.51]; C5 – [0.06; 0.44]; C5DC – [0.03; 0.17]; C6 – [0.01; 0.07]; C8 – [0.01; 0.07]; C10 – [0.02; 0.07]; C12 – [0.04; 0.51]; C14 – [0.07; 0.24]; C16 – [0.58; 3.25]; C18 – [0.35; 1.16]. Conclusion. Differences in acylcarnitine reference intervals were found: compared with other countries, the concentrations of reference intervals for C0, C2, C3, C5DC, C8, C10, C14, C16 and C18 were lower in our study, reference intervals for C5 and C12 were higher in our country.
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16
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García-Gavilán J, Nishi S, Paz-Graniel I, Guasch-Ferré M, Razquin C, Clish CB, Toledo E, Ruiz-Canela M, Corella D, Deik A, Drouin-Chartier JP, Wittenbecher C, Babio N, Estruch R, Ros E, Fitó M, Arós F, Fiol M, Serra-Majem L, Liang L, Martínez-González MA, Hu FB, Salas-Salvadó J. Plasma Metabolite Profiles Associated with the Amount and Source of Meat and Fish Consumption and the Risk of Type 2 Diabetes. Mol Nutr Food Res 2022; 66:e2200145. [PMID: 36214069 PMCID: PMC9722604 DOI: 10.1002/mnfr.202200145] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 09/12/2022] [Indexed: 01/18/2023]
Abstract
SCOPE Consumption of meat has been associated with a higher risk of type 2 diabetes (T2D), but if plasma metabolite profiles associated with these foods reflect this relationship is unknown. The objective is to identify a metabolite signature of consumption of total meat (TM), red meat (RM), processed red meat (PRM), and fish and examine if they are associated with T2D risk. METHODS AND RESULTS The discovery population includes 1833 participants from the PREDIMED trial. The internal validation sample includes 1522 participants with available 1-year follow-up metabolomic data. Associations between metabolites and TM, RM, PRM, and fish are evaluated with elastic net regression. Associations between the profiles and incident T2D are estimated using Cox regressions. The profiles included 72 metabolites for TM, 69 for RM, 74 for PRM, and 66 for fish. After adjusting for T2D risk factors, only profiles of TM (Hazard Ratio (HR): 1.25, 95% CI: 1.06-1.49), RM (HR: 1.27, 95% CI: 1.07-1.52), and PRM (HR: 1.27, 95% CI: 1.07-1.51) are associated with T2D. CONCLUSIONS The consumption of TM, its subtypes, and fish is associated with different metabolites, some of which have been previously associated with T2D. Scores based on the identified metabolites for TM, RM, and PRM show a significant association with T2D risk.
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Affiliation(s)
- Jesús García-Gavilán
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana. Hospital Universitari San Joan de Reus, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain,Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Stephanie Nishi
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana. Hospital Universitari San Joan de Reus, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain,Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada,Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Unity Health Toronto, ON, Canada
| | - Indira Paz-Graniel
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana. Hospital Universitari San Joan de Reus, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain,Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA,Channing Division for Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Cristina Razquin
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
| | | | - Estefanía Toledo
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
| | - Miguel Ruiz-Canela
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
| | - Dolores Corella
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Amy Deik
- The Broad Institute of Harvard and MIT, Boston, MA, USA
| | - Jean-Philippe Drouin-Chartier
- Centre Nutrition, Santé et Société, Institut sur la Nutrition et les Aliments Fonctionnels, Faculté de Pharmacie, Université Laval, Québec, Canada
| | - Clemens Wittenbecher
- Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada,Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany,German Center for Diabetes Research, Neuherberg, Germany
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana. Hospital Universitari San Joan de Reus, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain,Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Ramon Estruch
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Emilio Ros
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Lipid Clinic, Department of Endocrinology and Nutrition, Agust Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Montserrat Fitó
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Cardiovascular and Nutrition Research Group, Institut de Recerca Hospital del Mar, Barcelona, Spain
| | - Fernando Arós
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Cardiology, University Hospital of Alava, Vitoria, Spain
| | - Miquel Fiol
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Institute of Health Sciences IUNICS, University of Balearic Islands and Hospital Son Espases, Palma de Mallorca, Spain
| | - Lluís Serra-Majem
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Research Institute of Biomedical and Health Sciences IUIBS, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Liming Liang
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA,Department of Statistics, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Miguel A Martínez-González
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA,Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA,Channing Division for Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA,Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana. Hospital Universitari San Joan de Reus, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain,Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
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17
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Wedekind R, Rothwell JA, Viallon V, Keski-Rahkonen P, Schmidt JA, Chajes V, Katzke V, Johnson T, Santucci de Magistris M, Krogh V, Amiano P, Sacerdote C, Redondo-Sánchez D, Huerta JM, Tjønneland A, Pokharel P, Jakszyn P, Tumino R, Ardanaz E, Sandanger TM, Winkvist A, Hultdin J, Schulze MB, Weiderpass E, Gunter MJ, Huybrechts I, Scalbert A. Determinants of blood acylcarnitine concentrations in healthy individuals of the European Prospective Investigation into Cancer and Nutrition. Clin Nutr 2022; 41:1735-1745. [PMID: 35779425 PMCID: PMC9358353 DOI: 10.1016/j.clnu.2022.05.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 04/07/2022] [Accepted: 05/28/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND & AIMS Circulating levels of acylcarnitines (ACs) have been associated with the risk of various diseases such as cancer and type 2 diabetes. Diet and lifestyle factors have been shown to influence AC concentrations but a better understanding of their biological, lifestyle and metabolic determinants is needed. METHODS Circulating ACs were measured in blood by targeted (15 ACs) and untargeted metabolomics (50 ACs) in 7770 and 395 healthy participants of the European Prospective Investigation into Cancer and Nutrition (EPIC), respectively. Associations with biological and lifestyle characteristics, dietary patterns, self-reported intake of individual foods, estimated intake of carnitine and fatty acids, and fatty acids in plasma phospholipid fraction and amino acids in blood were assessed. RESULTS Age, sex and fasting status were associated with the largest proportion of AC variability (partial-r up to 0.19, 0.18 and 0.16, respectively). Some AC species of medium or long-chain fatty acid moiety were associated with the corresponding fatty acids in plasma (partial-r = 0.24) or with intake of specific foods such as dairy foods containing the same fatty acid. ACs of short-chain fatty acid moiety (propionylcarnitine and valerylcarnitine) were moderately associated with concentrations of branched-chain amino acids (partial-r = 0.5). Intake of most other foods and of carnitine showed little association with AC levels. CONCLUSIONS Our results show that determinants of ACs in blood vary according to their fatty acid moiety, and that their concentrations are related to age, sex, diet, and fasting status. Knowledge on their potential determinants may help interpret associations of ACs with disease risk and inform on potential dietary and lifestyle factors that might be modified for disease prevention.
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Affiliation(s)
- Roland Wedekind
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, 150 Cours Albert Thomas, Lyon, France.
| | - Joseph A Rothwell
- (CESP), Faculté de Medicine, Université Paris-Saclay, Inserm, Villejuif, France; Institut Gustave Roussy, Villejuif, France
| | - Vivian Viallon
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, 150 Cours Albert Thomas, Lyon, France
| | - Pekka Keski-Rahkonen
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, 150 Cours Albert Thomas, Lyon, France
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, UK
| | - Veronique Chajes
- International Agency for Research on Cancer, 150 Cours Albert Thomas, Lyon, France
| | - Vna Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Theron Johnson
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale Dei Tumori di Milano, Milan, Italy
| | - Pilar Amiano
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastian, Spain; Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città Della Salute e Della Scienza University-Hospital, Via Santena 7, 10126 Turin, Italy
| | - Daniel Redondo-Sánchez
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; Escuela Andaluza de Salud Pública (EASP), 18011 Granada, Spain; Instituto de Investigación Biosanitaria Ibs.GRANADA, 18012 Granada, Spain
| | - José María Huerta
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Pratik Pokharel
- Danish Cancer Society Research Center, Copenhagen, Denmark; Institute for Nutrition Research, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Paula Jakszyn
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain; Blanquerna School of Health Sciences, Ramon Llull University, Barcelona, Spain
| | - Rosario Tumino
- Hyblean Association for Epidemiological Research AIRE - ONLUS, Ragusa, Italy
| | - Eva Ardanaz
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; Navarra Public Health Institute, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Torkjel M Sandanger
- Department of Community Medicine, UiT - the Arctic University of Norway, Langnes, Tromsø, Norway
| | - Anna Winkvist
- Sustainable Health, Dept Epidemiology and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Johan Hultdin
- Medical Biosciences, Clinical Chemistry, Umeå University, Umeå, Sweden
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; University of Potsdam, Institute of Nutritional Science, Potsdam, Germany
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, 150 Cours Albert Thomas, Lyon, France
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, 150 Cours Albert Thomas, Lyon, France
| | - Inge Huybrechts
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, 150 Cours Albert Thomas, Lyon, France
| | - Augustin Scalbert
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, 150 Cours Albert Thomas, Lyon, France
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18
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Vishnubhotla RV, Wood PL, Verma A, Cebak JE, Hariri S, Mudigonda M, Alankar S, Maturi R, Orui H, Subramaniam B, Palwale D, Renschler J, Sadhasivam S. Advanced Meditation and Vegan Diet Increased Acylglycines and Reduced Lipids Associated with Improved Health: A Prospective Longitudinal Study. JOURNAL OF INTEGRATIVE AND COMPLEMENTARY MEDICINE 2022; 28:674-682. [PMID: 35532984 DOI: 10.1089/jicm.2022.0480] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Introduction: Samyama is an Isha Yoga 8-day residential meditation/yoga retreat combined with 60 days of preparation with vegan diet. We showed earlier Samyama retreat was associated with lower systemic inflammation and favorable lipid profiles along with other physical and mental health benefits. There is no mechanistic study on the impact of an advanced meditative process on multiple blood lipids and their implications on meditation-related improved physical and mental wellbeing. Methods: Sixty-four Samyama participants on vegan diet had blood sampled immediately before and immediately after the 8-day retreat for lipidomic analysis. The complex plasma lipidome was characterized using high-resolution mass spectrometric analysis and tandem mass spectrometry. Results: Pre- and post-Samyama blood samples of 64 Samyama participants were analyzed. Acylglycines (acetyl, propionyl, butyryl, and valeryl) were increased in the plasma post-Samyama compared with pre-Samyama (p < 0.001). Levels of glycerophosphocholines, glycerophosphoethanolamines, di-unsaturated ethanolamine plasmalogens, cholesterol esters, acylcarnitines, and acylgylcerines (triacylglycerols and diacylglycerols) decreased after the Samyama meditation. Plasma levels of glycerophosphoserines or glycerophosphoinositols were unchanged. Conclusion: An 8-day advanced meditation retreat resulted in increased acylglycines, an endocannabinoid-like fatty acid amide associated with increased cellular anandamide levels, anti-inflammation, analgesia, and vascular relaxation. Other serum lipid levels, including some that are associated with increased risk of atherosclerosis, were reduced following the Samyama program. ClinicalTrials.gov Registration: Identifier: NCT04366544.
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Affiliation(s)
- Ramana V Vishnubhotla
- Department of Radiology, Indiana University School of Medicine, Indianpolis, IN, USA
| | - Paul L Wood
- Metabolomics Unit, College of Veterinary Medicine, Lincoln Memorial University, Harrogate, TN, USA
| | - Ashutosh Verma
- Metabolomics Unit, College of Veterinary Medicine, Lincoln Memorial University, Harrogate, TN, USA
| | - John E Cebak
- DeBusk College of Osteopathic Medicine, Lincoln Memorial University, Harrogate, TN, USA
| | - Sepideh Hariri
- Sadhguru Center for a Conscious Planet, Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Boson, MA, USA
| | - Mayur Mudigonda
- Redwood Center for Theoretical Neuroscience, University of California, Berkeley, CA, USA
| | - Suresh Alankar
- Vascular Surgery, University of Louisville, Louisville, KY, USA
| | - Raj Maturi
- Department of Ophthalmology, Eugene and Marilyn Glick Eye Institute, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Hibiki Orui
- Sadhguru Center for a Conscious Planet, Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Boson, MA, USA
| | - Balachundhar Subramaniam
- Sadhguru Center for a Conscious Planet, Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Boson, MA, USA
| | - Dhanashri Palwale
- Department of Anesthesia, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Janelle Renschler
- Department of Anesthesia, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Senthilkumar Sadhasivam
- Department of Anesthesia, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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19
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Villette C, Vasseur P, Lapidus N, Debin M, Hanslik T, Blanchon T, Steichen O, Rossignol L. Vegetarian and Vegan Diets: Beliefs and Attitudes of General Practitioners and Pediatricians in France. Nutrients 2022; 14:nu14153101. [PMID: 35956277 PMCID: PMC9370229 DOI: 10.3390/nu14153101] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 07/19/2022] [Accepted: 07/20/2022] [Indexed: 02/01/2023] Open
Abstract
Studies suggest a decreasing trend in the consumption of meat products and a growing interest in vegetarian diets. Medical support may be relevant, especially when switching to a vegan diet. Our objective was to describe the beliefs and attitudes of primary care physicians toward vegetarian diets. A cross-sectional survey was conducted among general practitioners and pediatricians thorough a questionnaire including socio-demographic characteristics, specific care to vegetarians, and the risks and benefits of vegetarian diets according to physicians. Out of the 177 participating physicians, 104 (59%) have seen at least one vegetarian patient in consultation in the last three months. Half of the physicians declared that they would dissuade their patients from switching to a vegan diet (n = 88, 51%) and 14% (n = 24) from switching to an ovo-lacto-vegetarian (OLV) diet. Most physicians (n = 141, 88%) did not feel informed enough about these diets. Physicians thought that the most frequent deficiencies for OLV and vegan diets were iron (76% and 84%, respectively) and protein (45% and 79%, respectively). These results highlight the fact that French primary care physicians feel concerned by this subject and need more information on these diets. Specific recommendations would be useful to support their practice and relationship with vegetarians.
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Affiliation(s)
- Cécile Villette
- Département de Médecine Générale, Université de Paris Cité, 16 rue Henri Huchard, F75018 Paris, France
| | - Pauline Vasseur
- Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, INSERM, IPLESP, 27 rue de Chaligny, F75012 Paris, France
| | - Nathanael Lapidus
- Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, INSERM, IPLESP, 27 rue de Chaligny, F75012 Paris, France
- Public Health Department, Saint-Antoine Hospital, AP-HP, Sorbonne Université, F75012 Paris, France
| | - Marion Debin
- Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, INSERM, IPLESP, 27 rue de Chaligny, F75012 Paris, France
| | - Thomas Hanslik
- Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, INSERM, IPLESP, 27 rue de Chaligny, F75012 Paris, France
- UFR Simone Veil-Santé, Université Versailles Saint Quentin en Yvelines, 55 Avenue de Paris, F78000 Versailles, France
- AP-HP, Hôpital Ambroise Paré, Service de Médecine Interne, 9 Avenue Charles de Gaulle, F92100 Boulogne Billancourt, France
| | - Thierry Blanchon
- Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, INSERM, IPLESP, 27 rue de Chaligny, F75012 Paris, France
| | - Olivier Steichen
- AP-HP, Hôpital Tenon, Service de Médecine Interne, Sorbonne Université, 4 rue de la Chine, F75020 Paris, France
| | - Louise Rossignol
- Département de Médecine Générale, Université de Paris Cité, 16 rue Henri Huchard, F75018 Paris, France
- Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, INSERM, IPLESP, 27 rue de Chaligny, F75012 Paris, France
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20
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Rothwell JA, Murphy N, Bešević J, Kliemann N, Jenab M, Ferrari P, Achaintre D, Gicquiau A, Vozar B, Scalbert A, Huybrechts I, Freisling H, Prehn C, Adamski J, Cross AJ, Pala VM, Boutron-Ruault MC, Dahm CC, Overvad K, Gram IT, Sandanger TM, Skeie G, Jakszyn P, Tsilidis KK, Aleksandrova K, Schulze MB, Hughes DJ, van Guelpen B, Bodén S, Sánchez MJ, Schmidt JA, Katzke V, Kühn T, Colorado-Yohar S, Tumino R, Bueno-de-Mesquita B, Vineis P, Masala G, Panico S, Eriksen AK, Tjønneland A, Aune D, Weiderpass E, Severi G, Chajès V, Gunter MJ. Metabolic Signatures of Healthy Lifestyle Patterns and Colorectal Cancer Risk in a European Cohort. Clin Gastroenterol Hepatol 2022; 20:e1061-e1082. [PMID: 33279777 PMCID: PMC9049188 DOI: 10.1016/j.cgh.2020.11.045] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 11/19/2020] [Accepted: 11/25/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND & AIMS Colorectal cancer risk can be lowered by adherence to the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) guidelines. We derived metabolic signatures of adherence to these guidelines and tested their associations with colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition cohort. METHODS Scores reflecting adherence to the WCRF/AICR recommendations (scale, 1-5) were calculated from participant data on weight maintenance, physical activity, diet, and alcohol among a discovery set of 5738 cancer-free European Prospective Investigation into Cancer and Nutrition participants with metabolomics data. Partial least-squares regression was used to derive fatty acid and endogenous metabolite signatures of the WCRF/AICR score in this group. In an independent set of 1608 colorectal cancer cases and matched controls, odds ratios (ORs) and 95% CIs were calculated for colorectal cancer risk per unit increase in WCRF/AICR score and per the corresponding change in metabolic signatures using multivariable conditional logistic regression. RESULTS Higher WCRF/AICR scores were characterized by metabolic signatures of increased odd-chain fatty acids, serine, glycine, and specific phosphatidylcholines. Signatures were inversely associated more strongly with colorectal cancer risk (fatty acids: OR, 0.51 per unit increase; 95% CI, 0.29-0.90; endogenous metabolites: OR, 0.62 per unit change; 95% CI, 0.50-0.78) than the WCRF/AICR score (OR, 0.93 per unit change; 95% CI, 0.86-1.00) overall. Signature associations were stronger in male compared with female participants. CONCLUSIONS Metabolite profiles reflecting adherence to WCRF/AICR guidelines and additional lifestyle or biological risk factors were associated with colorectal cancer. Measuring a specific panel of metabolites representative of a healthy or unhealthy lifestyle may identify strata of the population at higher risk of colorectal cancer.
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Affiliation(s)
- Joseph A Rothwell
- Centre for Epidemiology and Population Health, U1018, Generations and Health Team, Faculté de Médecine, Université Paris-Saclay, INSERM, Villejuif, France; Gustave Roussy, Villejuif, France; International Agency for Research on Cancer, Lyon, France.
| | - Neil Murphy
- International Agency for Research on Cancer, Lyon, France
| | - Jelena Bešević
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | | | - Mazda Jenab
- International Agency for Research on Cancer, Lyon, France
| | - Pietro Ferrari
- International Agency for Research on Cancer, Lyon, France
| | | | | | - Béatrice Vozar
- International Agency for Research on Cancer, Lyon, France
| | | | | | | | - Cornelia Prehn
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Jerzy Adamski
- Research Unit, Molecular Endocrinology and Metabolism, Helmholtz Zentrum München, Neuherberg, Germany; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Experimental Genetics, School of Life Science Weihenstephan, Technische Universität München, Neuherberg, Germany
| | - Amanda J Cross
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Valeria Maria Pala
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Marie-Christine Boutron-Ruault
- Centre for Epidemiology and Population Health, U1018, Generations and Health Team, Faculté de Médecine, Université Paris-Saclay, INSERM, Villejuif, France; Gustave Roussy, Villejuif, France
| | - Christina C Dahm
- Department of Public Health, Aarhus University, Aarhus C, Denmark
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus C, Denmark
| | - Inger Torhild Gram
- Faculty of Health Sciences, Department of Community Medicine, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Torkjel M Sandanger
- Faculty of Health Sciences, Department of Community Medicine, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Guri Skeie
- Faculty of Health Sciences, Department of Community Medicine, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Paula Jakszyn
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology, Barcelona, Spain; Blanquerna School of Health Sciences, Ramon Llull University, Barcelona, Spain
| | - Kostas K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Krasimira Aleksandrova
- Nutrition, Immunity and Metabolism Group, Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Matthias B Schulze
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany; Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - David J Hughes
- School of Biomolecular and Biomedical Science, Conway Institute, University College Dublin, Dublin, Ireland
| | - Bethany van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umea University, Umea, Sweden
| | - Stina Bodén
- Department of Radiation Sciences, Oncology Unit, Umea University, Umea, Sweden
| | - Maria-José Sánchez
- CIBER Epidemiología y Salud Pública, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Verena Katzke
- Division of Cancer Epidemiology, Deutsches Krebsforschungszentrum, Stiftung des Öffentlichen Rechts, Heidelberg, Germany
| | - Tilman Kühn
- Division of Cancer Epidemiology, Deutsches Krebsforschungszentrum, Stiftung des Öffentlichen Rechts, Heidelberg, Germany
| | - Sandra Colorado-Yohar
- Department of Epidemiology, Murcia Regional Health Council, Instituto Murciano de Investigatión Biomédica (IMIB)-Arrixaca, Murcia, Spain; CIBER Epidemiología y Salud Pública, Spain; Research Group on Demography and Health, National Faculty of Public Health, University of Antioquia, Medellín, Colombia
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Provincial Health Authority, Ragusa, Italy
| | - Bas Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment, BA Bilthoven, The Netherlands
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Italian Institute of Technology, Genova, Italy
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network-Istituto per lo Studio, la Prevenzione e la Rete Oncologica (ISPRO), Florence, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Anne Kirstine Eriksen
- Danish Cancer Society Research Center, Diet, Genes and Environment, Copenhagen, Denmark
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Diet, Genes and Environment, Copenhagen, Denmark
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Department of Nutrition, Bjørknes University College, Oslo, Norway; Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | | | - Gianluca Severi
- Centre for Epidemiology and Population Health, U1018, Generations and Health Team, Faculté de Médecine, Université Paris-Saclay, INSERM, Villejuif, France; Gustave Roussy, Villejuif, France
| | | | - Marc J Gunter
- International Agency for Research on Cancer, Lyon, France
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21
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Crowder SL, Playdon MC, Gudenkauf LM, Ose J, Gigic B, Greathouse L, Peoples AR, Sleight AG, Jim HSL, Figueiredo JC. A Molecular Approach to Understanding the Role of Diet in Cancer-Related Fatigue: Challenges and Future Opportunities. Nutrients 2022; 14:nu14071496. [PMID: 35406105 PMCID: PMC9003400 DOI: 10.3390/nu14071496] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 03/27/2022] [Accepted: 03/31/2022] [Indexed: 02/04/2023] Open
Abstract
Cancer-related fatigue (CRF) is considered one of the most frequent and distressing symptoms for cancer survivors. Despite its high prevalence, factors that predispose, precipitate, and perpetuate CRF are poorly understood. Emerging research focuses on cancer and treatment-related nutritional complications, changes in body composition, and nutritional deficiencies that can compound CRF. Nutritional metabolomics, the novel study of diet-related metabolites in cells, tissues, and biofluids, offers a promising tool to further address these research gaps. In this position paper, we examine CRF risk factors, summarize metabolomics studies of CRF, outline dietary recommendations for the prevention and management of CRF in cancer survivorship, and identify knowledge gaps and challenges in applying nutritional metabolomics to understand dietary contributions to CRF over the cancer survivorship trajectory.
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Affiliation(s)
- Sylvia L. Crowder
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33617, USA; (S.L.C.); (L.M.G.); (H.S.L.J.)
| | - Mary C. Playdon
- Cancer Control and Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA;
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT 84112, USA
| | - Lisa M. Gudenkauf
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33617, USA; (S.L.C.); (L.M.G.); (H.S.L.J.)
| | - Jennifer Ose
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT 84112, USA; (J.O.); (A.R.P.)
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
| | - Biljana Gigic
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, 69047 Heidelberg, Germany;
| | - Leigh Greathouse
- Human Science and Design, Robbins College of Health and Human Sciences, Baylor University, Waco, TX 76798, USA;
| | - Anita R. Peoples
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT 84112, USA; (J.O.); (A.R.P.)
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
| | - Alix G. Sleight
- Department of Physical Medicine and Rehabilitation, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA;
- Center for Integrated Research in Cancer and Lifestyle, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Heather S. L. Jim
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33617, USA; (S.L.C.); (L.M.G.); (H.S.L.J.)
| | - Jane C. Figueiredo
- Center for Integrated Research in Cancer and Lifestyle, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Correspondence:
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22
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Plasma Metabolite Profiles Following Consumption of Animal Protein and Soybean-Based Diet in Hypercholesterolemic Postmenopausal Women. Metabolites 2022; 12:metabo12030209. [PMID: 35323651 PMCID: PMC8952012 DOI: 10.3390/metabo12030209] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 02/09/2022] [Accepted: 02/23/2022] [Indexed: 02/05/2023] Open
Abstract
Subjective reporting of food intake can be unreliable. No objective method is available to distinguish between diets differing in protein type. To address this gap, a secondary analysis of a randomized controlled cross-over feeding trial was conducted. Assessed were fasting plasma metabolite profiles and their associations with cardiometabolic risk factors (CMRFs). Hypercholesterolemic post-menopausal women (N = 11) were provided with diets containing predominantly animal protein (AP) and soy protein (SP). Untargeted metabolomics were used to determine the plasma metabolite profiles at the end of each diet phase. Concentrations of identified metabolites (N = 829) were compared using paired t-tests adjusted for false discovery rate, partial least square-discrimination analysis (PLS-DA) and receiver operating characteristics (ROC). Among the identified metabolites, 58 differed significantly between the AP and SP diets; the majority were phospholipids (n = 36), then amino acids (n = 10), xenobiotics (n = 7), vitamin/vitamin-related (n = 3) and lipids (n = 2). Of the top 10 metabolites, amino acid-derived metabolites, phospholipids and xenobiotics comprised the main categories differing due to dietary protein type. ROC curves confirmed that the top 10 metabolites were potential discriminating biomarkers for AP- and SP-rich diets. In conclusion, amino acid-derived metabolites, phosphatidylethanolamine-derived metabolites and isoflavones were identified as potential metabolite biomarkers distinguishing between dietary protein type.
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23
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Plasma Metabolite Profiles of Red Meat, Poultry, and Fish Consumption, and Their Associations with Colorectal Cancer Risk. Nutrients 2022; 14:nu14050978. [PMID: 35267954 PMCID: PMC8912563 DOI: 10.3390/nu14050978] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 02/17/2022] [Accepted: 02/22/2022] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Red and processed meat consumption has been consistently associated with increased risk of colorectal cancer (CRC), but the association for fish intake is unclear. Evidence using objective dietary assessment approaches to evaluate these associations is sparse. OBJECTIVES We aim to investigate the plasma metabolite profiles related to red meat, poultry, and fish consumption and examine their associations with CRC risk. METHODS We measured plasma metabolites among 5269 participants from the Nurses' Health Study (NHS), NHSII, and Health Professionals Follow-Up study (HPFS). We calculated partial Spearman correlations between each metabolite and self-reported intake of seven red meat, poultry, and fish groups. Metabolite profile scores correlated to self-reported dietary intakes were developed using elastic net regression. Associations between self-reported intakes, metabolite profile scores, and subsequent CRC risk were further evaluated using conditional logistic regression among 559 matched (1:1) case-control pairs in NHS/HPFS and replicated among 266 pairs in Women's Health Study. RESULTS Plasma metabolites, especially highly unsaturated lipids, were differentially associated with red meat and fish groups. Metabolite profile scores for each food group were significantly correlated with the corresponding self-reported dietary intake. A higher dietary intake of processed red meat was associated with a higher risk of CRC (pooled OR per 1 SD, 1.15; 95% CI: 1.03, 1.29). In contrast, higher metabolite profile scores for all fish groups, not dietary intakes, were consistently associated with a lower CRC risk: the pooled OR per 1 SD was 0.86 (95% CI: 0.78, 0.96) for total fish, 0.86 (95% CI: 0.77, 0.96) for dark meat fish, and 0.87 (95% CI: 0.78, 0.97) for canned tuna fish. No significant associations were found for other food groups. CONCLUSIONS Red meat and fish intake exhibited systematically different plasma metabolite profiles. Plasma metabolite profile of fish intake was inversely associated with CRC risk.
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24
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Miles FL, Orlich MJ, Mashchak A, Chandler PD, Lampe JW, Duerksen-Hughes P, Fraser GE. The Biology of Veganism: Plasma Metabolomics Analysis Reveals Distinct Profiles of Vegans and Non-Vegetarians in the Adventist Health Study-2 Cohort. Nutrients 2022; 14:nu14030709. [PMID: 35277064 PMCID: PMC8839915 DOI: 10.3390/nu14030709] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 01/31/2022] [Accepted: 01/31/2022] [Indexed: 12/14/2022] Open
Abstract
It is unclear how vegetarian dietary patterns influence plasma metabolites involved in biological processes regulating chronic diseases. We sought to identify plasma metabolic profiles distinguishing vegans (avoiding meat, eggs, dairy) from non-vegetarians (consuming ≥28 g/day red meat) of the Adventist Health Study-2 cohort using global metabolomics profiling with ultra-performance liquid chromatography mass spectrometry (UPLC-MS/MS). Differences in abundance of metabolites or biochemical subclasses were analyzed using linear regression models, adjusting for surrogate and confounding variables, with cross-validation to simulate results from an independent sample. Random forest was used as a learning tool for classification, and principal component analysis was used to identify clusters of related metabolites. Differences in covariate-adjusted metabolite abundance were identified in over 60% of metabolites (586/930), after adjustment for false discovery. The vast majority of differentially abundant metabolites or metabolite subclasses showed lower abundance in vegans, including xanthine, histidine, branched fatty acids, acetylated peptides, ceramides, and long-chain acylcarnitines, among others. Many of these metabolite subclasses have roles in insulin dysregulation, cardiometabolic phenotypes, and inflammation. Analysis of metabolic profiles in vegans and non-vegetarians revealed vast differences in these two dietary groups, reflecting differences in consumption of animal and plant products. These metabolites serve as biomarkers of food intake, many with potential pathophysiological consequences for cardiometabolic diseases.
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Affiliation(s)
- Fayth L. Miles
- Adventist Health Study, Research Affairs, Loma Linda University, Loma Linda, CA 92350, USA; (F.L.M.); (M.J.O.); (A.M.)
- Center for Nutrition, Healthy Lifestyle and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA 92350, USA
- Department of Preventive Medicine, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA
- Department of Basic Science, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA;
| | - Michael J. Orlich
- Adventist Health Study, Research Affairs, Loma Linda University, Loma Linda, CA 92350, USA; (F.L.M.); (M.J.O.); (A.M.)
- Center for Nutrition, Healthy Lifestyle and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA 92350, USA
- Department of Preventive Medicine, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA
| | - Andrew Mashchak
- Adventist Health Study, Research Affairs, Loma Linda University, Loma Linda, CA 92350, USA; (F.L.M.); (M.J.O.); (A.M.)
| | - Paulette D. Chandler
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA 02215, USA;
| | - Johanna W. Lampe
- Public Health Sciences Division, Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA;
| | - Penelope Duerksen-Hughes
- Department of Basic Science, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA;
| | - Gary E. Fraser
- Adventist Health Study, Research Affairs, Loma Linda University, Loma Linda, CA 92350, USA; (F.L.M.); (M.J.O.); (A.M.)
- Center for Nutrition, Healthy Lifestyle and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA 92350, USA
- Department of Medicine, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA
- Correspondence: ; Tel.: +1-909-558-4753
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25
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Erben V, Poschet G, Schrotz-King P, Brenner H. Evaluation of different stool extraction methods for metabolomics measurements in human faecal samples. BMJ Nutr Prev Health 2022; 4:374-384. [PMID: 35028509 PMCID: PMC8718864 DOI: 10.1136/bmjnph-2020-000202] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 06/14/2021] [Indexed: 12/18/2022] Open
Abstract
Background Metabolomics analysis of human stool samples is of great interest for a broad range of applications in biomedical research including early detection of colorectal neoplasms. However, due to the complexity of metabolites there is no consensus on how to process samples for stool metabolomics measurements to obtain a broad coverage of hydrophilic and hydrophobic substances. Methods We used frozen stool samples (50 mg) from healthy study participants. Stool samples were processed after thawing using eight different processing protocols and different solvents (solvents such as phosphate-buffered saline, isopropanol, methanol, ethanol, acetonitrile and solvent mixtures with or without following evaporation and concentration steps). Metabolites were measured afterwards using the MxP Quant 500 kit (Biocrates). The best performing protocol was subsequently applied to compare stool samples of participants with different dietary habits. Results In this study, we were able to determine up to 340 metabolites of various chemical classes extracted from stool samples of healthy study participants with eight different protocols. Polar metabolites such as amino acids could be measured with each method while other metabolite classes, particular lipid species (better with isopropanol and ethanol or methanol following a drying step), are more dependent on the solvent or combination of solvents used. Only a small number of triglycerides or acylcarnitines were detected in human faeces. Extraction efficiency was higher for protocols using isopropanol (131 metabolites>limit of detection (LOD)) or those using ethanol or methanol and methyl tert-butyl ether (MTBE) including an evaporation and concentration step (303 and 342 metabolites>LOD, respectively) than for other protocols. We detected significant faecal metabolite differences between vegetarians, semivegetarians and non-vegetarians. Conclusion For the evaluation of metabolites in faecal samples, we found protocols using solvents like isopropanol and those using ethanol or methanol, and MTBE including an evaporation and concentration step to be superior regarding the number of detected metabolites of different chemical classes over others tested in this study.
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Affiliation(s)
- Vanessa Erben
- Division of Preventive Oncology, National Center of Tumor Diseases, Heidelberg, Germany.,Medical Faculty Heidelberg, University Heidelberg, Heidelberg, Germany
| | - Gernot Poschet
- Centre for Organismal Studies (COS), Heidelberg University, Heidelberg, Germany
| | - Petra Schrotz-King
- Division of Preventive Oncology, National Center of Tumor Diseases, Heidelberg, Germany
| | - Hermann Brenner
- Division of Preventive Oncology, National Center of Tumor Diseases, Heidelberg, Germany.,Division of Clinical Epidemiology and Aging Research, German Cancer Research Centre, Heidelberg, Germany.,German Cancer Consortium (DKTK), Heidelberg, Germany
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26
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Andraos S, Beck KL, Jones MB, Han TL, Conlon CA, de Seymour JV. Characterizing patterns of dietary exposure using metabolomic profiles of human biospecimens: a systematic review. Nutr Rev 2022; 80:699-708. [PMID: 35024860 DOI: 10.1093/nutrit/nuab103] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
CONTEXT Establishing diet-disease associations requires reliable assessment of dietary intake. With the rapid advancement of metabolomics, its use in identifying objective biomarkers of dietary exposure has substantially increased. OBJECTIVE The aim of our review was to systematically combine all observational studies linking dietary intake patterns with metabolomic profiles of human biospecimens. DATA SOURCES Five databases were searched - MEDLINE, Embase, Scopus, Web of Science, and Cochrane CENTRAL - to March 2020. DATA EXTRACTION Of the 14 328 studies initially screened, 35 observational studies that met the specified inclusion criteria were included. DATA ANALYSIS All reviewed studies indicated that metabolomic measures were significantly correlated with dietary patterns, demonstrating the potential for using objective metabolomic measures to characterize individuals' dietary intake. However, similar dietary patterns did not always result in similar metabolomic profiles across different study populations. CONCLUSION Metabolomic profiles reflect a multitude of factors, including diet, genetic, phenotypic, and environmental influences, thereby providing a more comprehensive picture of the impact of diet on metabolism and health outcomes. Further exploration of dietary patterns and metabolomic profiles across different population groups is warranted.
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Affiliation(s)
- Stephanie Andraos
- S. Andraos, K.L. Beck, C.A. Conlon, and J.V. de Seymour are with the School of Sport, Exercise and Nutrition, College of Health, Massey University, Auckland, New Zealand. M.B. Jones is with the Department of Statistics, Faculty of Science, University of Auckland, Auckland, New Zealand. T.-L. Han is with the Department of Obstetrics and Gynaecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Kathryn Louise Beck
- S. Andraos, K.L. Beck, C.A. Conlon, and J.V. de Seymour are with the School of Sport, Exercise and Nutrition, College of Health, Massey University, Auckland, New Zealand. M.B. Jones is with the Department of Statistics, Faculty of Science, University of Auckland, Auckland, New Zealand. T.-L. Han is with the Department of Obstetrics and Gynaecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Mary Beatrix Jones
- S. Andraos, K.L. Beck, C.A. Conlon, and J.V. de Seymour are with the School of Sport, Exercise and Nutrition, College of Health, Massey University, Auckland, New Zealand. M.B. Jones is with the Department of Statistics, Faculty of Science, University of Auckland, Auckland, New Zealand. T.-L. Han is with the Department of Obstetrics and Gynaecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ting-Li Han
- S. Andraos, K.L. Beck, C.A. Conlon, and J.V. de Seymour are with the School of Sport, Exercise and Nutrition, College of Health, Massey University, Auckland, New Zealand. M.B. Jones is with the Department of Statistics, Faculty of Science, University of Auckland, Auckland, New Zealand. T.-L. Han is with the Department of Obstetrics and Gynaecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Cathryn Anne Conlon
- S. Andraos, K.L. Beck, C.A. Conlon, and J.V. de Seymour are with the School of Sport, Exercise and Nutrition, College of Health, Massey University, Auckland, New Zealand. M.B. Jones is with the Department of Statistics, Faculty of Science, University of Auckland, Auckland, New Zealand. T.-L. Han is with the Department of Obstetrics and Gynaecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jamie Violet de Seymour
- S. Andraos, K.L. Beck, C.A. Conlon, and J.V. de Seymour are with the School of Sport, Exercise and Nutrition, College of Health, Massey University, Auckland, New Zealand. M.B. Jones is with the Department of Statistics, Faculty of Science, University of Auckland, Auckland, New Zealand. T.-L. Han is with the Department of Obstetrics and Gynaecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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27
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Eberhard J, Ruiz K, Tan J, Jayasinghe TN, Khan S, Eroglu E, Adler C, Simpson SJ, Le Couteur DG, Raubenheimer D, Macia L, Gosby AK, Ribeiro RV. A randomised clinical trial to investigate the effect of dietary protein sources on periodontal health. J Clin Periodontol 2021; 49:388-400. [PMID: 34935176 DOI: 10.1111/jcpe.13587] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 10/26/2021] [Accepted: 11/24/2021] [Indexed: 11/28/2022]
Abstract
AIM The aim was to assess two macronutrient interventions in a 2x2 factorial dietary design to determine their effects on oral health. MATERIALS AND METHODS Participants (65-75 years old) with a BMI between 20-35 kg/m2 of a larger RCT who consented to an oral health assessment were recruited. They had ad libitum access to one of four experimental diets (omnivorous higher fat or higher carbohydrate, semi-vegetarian higher fat or higher carbohydrate) for 4 weeks. Periodontal examination included periodontal probing depth (PPD), clinical attachment level (CAL) and bleeding on probing. Oral plaque and gingival crevicular fluid (GCF) were collected before and after the intervention. RESULTS Between baseline and follow up the number of sites with a CAL <5 mm (mean difference (MD) -5.11±9.68, P=0.039) increased and the GCF amount (MD -23.42±39.42 Periotron Units (PU), P=0.050) decreased for the semi-vegetarian high fat diet. For the mean proportion of sites with PPD reduction >1 mm and CAL gain >1 mm significant differences were calculated between the diets investigated. The clinical parameters were not associated with changes of the oral microbiota. CONCLUSION The results of this study provided evidence that a semi-vegetarian higher fat diet provides benefits to clinical parameters of periodontal health. ACTRN12616001606471. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Joerg Eberhard
- Charles Perkins Centre, University of Sydney, NSW, Australia.,The University of Sydney School of Dentistry, Faculty of Medicine and Health, University of Sydney, NSW, Australia
| | - Kate Ruiz
- The University of Sydney School of Dentistry, Faculty of Medicine and Health, University of Sydney, NSW, Australia
| | - Jian Tan
- Charles Perkins Centre, University of Sydney, NSW, Australia
| | - Thilini N Jayasinghe
- Charles Perkins Centre, University of Sydney, NSW, Australia.,The University of Sydney School of Dentistry, Faculty of Medicine and Health, University of Sydney, NSW, Australia
| | - Shahrukh Khan
- Charles Perkins Centre, University of Sydney, NSW, Australia
| | - Elif Eroglu
- Charles Perkins Centre, University of Sydney, NSW, Australia
| | - Christina Adler
- Charles Perkins Centre, University of Sydney, NSW, Australia.,The University of Sydney School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, NSW, Australia
| | | | - David G Le Couteur
- Charles Perkins Centre, University of Sydney, NSW, Australia.,Centre for Education and Research on Ageing and Alzheimer's Institute, Concord Hospital, University of Sydney, NSW, Australia.,ANZAC Research Institute, University of Sydney, Concord Hospital, NSW, Australia
| | - David Raubenheimer
- Charles Perkins Centre, University of Sydney, NSW, Australia.,School of Life and Environmental Sciences, University of Sydney, NSW, Australia
| | - Laurence Macia
- Charles Perkins Centre, University of Sydney, NSW, Australia
| | - Alison K Gosby
- Charles Perkins Centre, University of Sydney, NSW, Australia.,School of Life and Environmental Sciences, University of Sydney, NSW, Australia.,Boden Institute of Obesity, Nutrition, Exercise and Eating Disorders, University of Sydney, NSW, Australia
| | - Rosilene V Ribeiro
- Charles Perkins Centre, University of Sydney, NSW, Australia.,Centre for Education and Research on Ageing and Alzheimer's Institute, Concord Hospital, University of Sydney, NSW, Australia.,School of Life and Environmental Sciences, University of Sydney, NSW, Australia
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28
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His M, Viallon V, Dossus L, Schmidt JA, Travis RC, Gunter MJ, Overvad K, Kyrø C, Tjønneland A, Lécuyer L, Rothwell JA, Severi G, Johnson T, Katzke V, Schulze MB, Masala G, Sieri S, Panico S, Tumino R, Macciotta A, Boer JMA, Monninkhof EM, Olsen KS, Nøst TH, Sandanger TM, Agudo A, Sánchez MJ, Amiano P, Colorado-Yohar SM, Ardanaz E, Vidman L, Winkvist A, Heath AK, Weiderpass E, Huybrechts I, Rinaldi S. Lifestyle correlates of eight breast cancer-related metabolites: a cross-sectional study within the EPIC cohort. BMC Med 2021; 19:312. [PMID: 34886862 PMCID: PMC8662901 DOI: 10.1186/s12916-021-02183-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 11/09/2021] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Metabolomics is a promising molecular tool for identifying novel etiological pathways leading to cancer. In an earlier prospective study among pre- and postmenopausal women not using exogenous hormones, we observed a higher risk of breast cancer associated with higher blood concentrations of one metabolite (acetylcarnitine) and a lower risk associated with higher blood concentrations of seven others (arginine, asparagine, phosphatidylcholines (PCs) aa C36:3, ae C34:2, ae C36:2, ae C36:3, and ae C38:2). METHODS To identify determinants of these breast cancer-related metabolites, we conducted a cross-sectional analysis to identify their lifestyle and anthropometric correlates in 2358 women, who were previously included as controls in case-control studies nested within the European Prospective Investigation into Cancer and Nutrition cohort and not using exogenous hormones at blood collection. Associations of each metabolite concentration with 42 variables were assessed using linear regression models in a discovery set of 1572 participants. Significant associations were evaluated in a validation set (n = 786). RESULTS For the metabolites previously associated with a lower risk of breast cancer, concentrations of PCs ae C34:2, C36:2, C36:3, and C38:2 were negatively associated with adiposity and positively associated with total and saturated fat intakes. PC ae C36:2 was also negatively associated with alcohol consumption and positively associated with two scores reflecting adherence to a healthy lifestyle. Asparagine concentration was negatively associated with adiposity. Arginine and PC aa C36:3 concentrations were not associated to any of the factors examined. For the metabolite previously associated with a higher risk of breast cancer, acetylcarnitine, a positive association with age was observed. CONCLUSIONS These associations may indicate possible mechanisms underlying associations between lifestyle and anthropometric factors, and risk of breast cancer. Further research is needed to identify potential non-lifestyle correlates of the metabolites investigated.
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Affiliation(s)
- Mathilde His
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 150 cours Albert Thomas, 69372, CEDEX 08, Lyon, France
| | - Vivian Viallon
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 150 cours Albert Thomas, 69372, CEDEX 08, Lyon, France
| | - Laure Dossus
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 150 cours Albert Thomas, 69372, CEDEX 08, Lyon, France
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Marc J Gunter
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 150 cours Albert Thomas, 69372, CEDEX 08, Lyon, France
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Cecilie Kyrø
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, Section of Environmental Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lucie Lécuyer
- Université Paris-Saclay, UVSQ, Inserm, CESP U1018, "Exposome and Heredity" team, Gustave Roussy, Villejuif, France
| | - Joseph A Rothwell
- Université Paris-Saclay, UVSQ, Inserm, CESP U1018, "Exposome and Heredity" team, Gustave Roussy, Villejuif, France
| | - Gianluca Severi
- Université Paris-Saclay, UVSQ, Inserm, CESP U1018, "Exposome and Heredity" team, Gustave Roussy, Villejuif, France
- Department of Statistics, Computer Science, Applications "G. Parenti", University of Florence, Florence, Italy
| | - Theron Johnson
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Verena Katzke
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Instituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Salvatore Panico
- Dipartimento Di Medicina Clinica E Chirurgia, Federico Ii University, Naples, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Provincial Health Authority (ASP 7) Ragusa, Ragusa, Italy
| | - Alessandra Macciotta
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
| | - Jolanda M A Boer
- Center for Nutrition, Prevention, and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, 3720, BA, the Netherlands
| | - Evelyn M Monninkhof
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Karina Standahl Olsen
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, NO-9037, Tromsø, Norway
| | - Therese H Nøst
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, NO-9037, Tromsø, Norway
| | - Torkjel M Sandanger
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, NO-9037, Tromsø, Norway
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Catalan Institute of Oncology - ICO, L'Hospitalet de Llobregat, Spain
- Nutrition and Cancer Group; Epidemiology, Public Health, Cancer Prevention and Palliative Care Program; Bellvitge Biomedical Research Institute - IDIBELL, L'Hospitalet de Llobregat, Spain
| | - Maria-Jose Sánchez
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Pilar Amiano
- Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Spain
- Biodonostia Health Research Institute, Group of Epidemiology of Chronic and Communicable Diseases, San Sebastián, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Sandra M Colorado-Yohar
- CIBER Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- Research Group on Demography and Health, National Faculty of Public Health, University of Antioquia, Medellín, Colombia
| | - Eva Ardanaz
- CIBER Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Linda Vidman
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Anna Winkvist
- Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Elisabete Weiderpass
- International Agency for Research on Cancer (IARC/WHO), Office of the Director, Lyon, France
| | - Inge Huybrechts
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 150 cours Albert Thomas, 69372, CEDEX 08, Lyon, France
| | - Sabina Rinaldi
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 150 cours Albert Thomas, 69372, CEDEX 08, Lyon, France.
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Rafiq T, Azab SM, Teo KK, Thabane L, Anand SS, Morrison KM, de Souza RJ, Britz-McKibbin P. Nutritional Metabolomics and the Classification of Dietary Biomarker Candidates: A Critical Review. Adv Nutr 2021; 12:2333-2357. [PMID: 34015815 PMCID: PMC8634495 DOI: 10.1093/advances/nmab054] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 01/20/2021] [Accepted: 04/06/2021] [Indexed: 02/06/2023] Open
Abstract
Recent advances in metabolomics allow for more objective assessment of contemporary food exposures, which have been proposed as an alternative or complement to self-reporting of food intake. However, the quality of evidence supporting the utility of dietary biomarkers as valid measures of habitual intake of foods or complex dietary patterns in diverse populations has not been systematically evaluated. We reviewed nutritional metabolomics studies reporting metabolites associated with specific foods or food groups; evaluated the interstudy repeatability of dietary biomarker candidates; and reported study design, metabolomic approach, analytical technique(s), and type of biofluid analyzed. A comprehensive literature search of 5 databases (PubMed, EMBASE, Web of Science, BIOSIS, and CINAHL) was conducted from inception through December 2020. This review included 244 studies, 169 (69%) of which were interventional studies (9 of these were replicated in free-living participants) and 151 (62%) of which measured the metabolomic profile of serum and/or plasma. Food-based metabolites identified in ≥1 study and/or biofluid were associated with 11 food-specific categories or dietary patterns: 1) fruits; 2) vegetables; 3) high-fiber foods (grain-rich); 4) meats; 5) seafood; 6) pulses, legumes, and nuts; 7) alcohol; 8) caffeinated beverages, teas, and cocoas; 9) dairy and soya; 10) sweet and sugary foods; and 11) complex dietary patterns and other foods. We conclude that 69 metabolites represent good candidate biomarkers of food intake. Quantitative measurement of these metabolites will advance our understanding of the relation between diet and chronic disease risk and support evidence-based dietary guidelines for global health.
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Affiliation(s)
- Talha Rafiq
- Medical Sciences Graduate Program, Faculty of Health Sciences, McMaster University, Hamilton, Canada
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Canada
| | - Sandi M Azab
- Department of Chemistry and Chemical Biology, McMaster University, Hamilton, Canada
- Department of Pharmacognosy, Alexandria University, Alexandria, Egypt
| | - Koon K Teo
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Canada
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Canada
- Department of Medicine, McMaster University, Hamilton, Canada
| | - Lehana Thabane
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Canada
| | - Sonia S Anand
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Canada
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Canada
- Department of Medicine, McMaster University, Hamilton, Canada
| | | | - Russell J de Souza
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Canada
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Canada
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Craig WJ, Mangels AR, Fresán U, Marsh K, Miles FL, Saunders AV, Haddad EH, Heskey CE, Johnston P, Larson-Meyer E, Orlich M. The Safe and Effective Use of Plant-Based Diets with Guidelines for Health Professionals. Nutrients 2021; 13:4144. [PMID: 34836399 PMCID: PMC8623061 DOI: 10.3390/nu13114144] [Citation(s) in RCA: 91] [Impact Index Per Article: 30.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 11/17/2021] [Accepted: 11/17/2021] [Indexed: 12/13/2022] Open
Abstract
Plant-based diets, defined here as including both vegan and lacto-ovo-vegetarian diets, are growing in popularity throughout the Western world for various reasons, including concerns for human health and the health of the planet. Plant-based diets are more environmentally sustainable than meat-based diets and have a reduced environmental impact, including producing lower levels of greenhouse gas emissions. Dietary guidelines are normally formulated to enhance the health of society, reduce the risk of chronic diseases, and prevent nutritional deficiencies. We reviewed the scientific data on plant-based diets to summarize their preventative and therapeutic role in cardiovascular disease, cancer, diabetes, obesity, and osteoporosis. Consuming plant-based diets is safe and effective for all stages of the life cycle, from pregnancy and lactation, to childhood, to old age. Plant-based diets, which are high in fiber and polyphenolics, are also associated with a diverse gut microbiota, producing metabolites that have anti-inflammatory functions that may help manage disease processes. Concerns about the adequate intake of a number of nutrients, including vitamin B12, calcium, vitamin D, iron, zinc, and omega-3 fats, are discussed. The use of fortified foods and/or supplements as well as appropriate food choices are outlined for each nutrient. Finally, guidelines are suggested for health professionals working with clients consuming plant-based diets.
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Affiliation(s)
- Winston J. Craig
- Center for Nutrition, Healthy Lifestyles, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA 92354, USA; (F.L.M.); (E.H.H.); (C.E.H.); (P.J.)
| | | | - Ujué Fresán
- eHealth Group, Instituto de Salud Global Barcelona (ISGlobal), 08036 Barcelona, Spain;
| | - Kate Marsh
- Private Practice, Chatswood, NSW 2067, Australia;
| | - Fayth L. Miles
- Center for Nutrition, Healthy Lifestyles, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA 92354, USA; (F.L.M.); (E.H.H.); (C.E.H.); (P.J.)
- School of Medicine, Loma Linda University, Loma Linda, CA 92354, USA;
| | - Angela V. Saunders
- Nutrition Insights, Sanitarium Health Food Company, Berkeley Vale, NSW 2261, Australia;
| | - Ella H. Haddad
- Center for Nutrition, Healthy Lifestyles, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA 92354, USA; (F.L.M.); (E.H.H.); (C.E.H.); (P.J.)
| | - Celine E. Heskey
- Center for Nutrition, Healthy Lifestyles, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA 92354, USA; (F.L.M.); (E.H.H.); (C.E.H.); (P.J.)
| | - Patricia Johnston
- Center for Nutrition, Healthy Lifestyles, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA 92354, USA; (F.L.M.); (E.H.H.); (C.E.H.); (P.J.)
| | - Enette Larson-Meyer
- Human Nutrition, Foods, and Exercise Virginia Tech, Blacksburg, VA 24061, USA;
| | - Michael Orlich
- School of Medicine, Loma Linda University, Loma Linda, CA 92354, USA;
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Geijsen AJMR, Kok DE, van Zutphen M, Keski-Rahkonen P, Achaintre D, Gicquiau A, Gsur A, Kruyt FM, Ulrich CM, Weijenberg MP, de Wilt JHW, Wesselink E, Scalbert A, Kampman E, van Duijnhoven FJB. Diet quality indices and dietary patterns are associated with plasma metabolites in colorectal cancer patients. Eur J Nutr 2021; 60:3171-3184. [PMID: 33544207 PMCID: PMC8354955 DOI: 10.1007/s00394-021-02488-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 01/08/2021] [Indexed: 12/11/2022]
Abstract
PURPOSE Emerging evidence suggests that diet is linked to survival in colorectal cancer patients, although underlying mechanisms are not fully understood. The aim of this study was to evaluate whether dietary exposures are associated with metabolite concentrations in colorectal cancer patients. METHODS Concentrations of 134 metabolites of the Biocrates AbsoluteIDQ p180 kit were quantified in plasma samples collected at diagnosis from 195 stage I-IV colorectal cancer patients. Food frequency questionnaires were used to calculate adherence to the World Cancer Research Fund (WCRF) dietary recommendations and the Dutch Healthy Diet (DHD15) index as well as to construct dietary patterns using Principal Component Analysis. Multivariable linear regression models were used to determine associations between dietary exposures and metabolite concentrations. All models were adjusted for age, sex, body mass index, smoking status, analytical batch, cancer stage, and multiple testing using false discovery rate. RESULTS Participants had a mean (SD) age of 66 (9) years, were mostly men (60%), and mostly diagnosed with stage II and III cancer. For the dietary pattern analyses, Western, Carnivore, and Prudent patterns were identified. Better adherence to the WCRF dietary recommendations was associated with lower concentrations of ten phosphatidylcholines. Higher intake of the Carnivore pattern was associated with higher concentrations of two phosphatidylcholines. The DHD15-index, Western pattern, or Prudent pattern were not associated with metabolite concentrations. CONCLUSION In the current study, the WCRF dietary score and the Carnivore pattern are associated with phosphatidylcholines. Future research should elucidate the potential relevance of phosphatidylcholine metabolism in the colorectal cancer continuum. CLINICAL TRIAL REGISTRY ClinicalTrials.gov Identifier: NCT03191110.
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Affiliation(s)
- Anne J M R Geijsen
- Division of Human Nutrition and Health, Wageningen University and Research, P.O. Box 17, 6700 AA, Wageningen, The Netherlands
| | - Dieuwertje E Kok
- Division of Human Nutrition and Health, Wageningen University and Research, P.O. Box 17, 6700 AA, Wageningen, The Netherlands
| | - Moniek van Zutphen
- Division of Human Nutrition and Health, Wageningen University and Research, P.O. Box 17, 6700 AA, Wageningen, The Netherlands
| | | | - David Achaintre
- Biomarker Group, International Agency for Research on Cancer, Lyon, France
| | - Audrey Gicquiau
- Biomarker Group, International Agency for Research on Cancer, Lyon, France
| | - Andrea Gsur
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Flip M Kruyt
- Department of Surgery, Hospital Gelderse Vallei, Ede, The Netherlands
| | - Cornelia M Ulrich
- Huntsman Cancer Institute, Salt Lake City, Utah, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Matty P Weijenberg
- Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Johannes H W de Wilt
- Department of Surgery, Division of Surgical Oncology and Gastrointestinal Surgery, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Evertine Wesselink
- Division of Human Nutrition and Health, Wageningen University and Research, P.O. Box 17, 6700 AA, Wageningen, The Netherlands
| | - Augustin Scalbert
- Biomarker Group, International Agency for Research on Cancer, Lyon, France
| | - Ellen Kampman
- Division of Human Nutrition and Health, Wageningen University and Research, P.O. Box 17, 6700 AA, Wageningen, The Netherlands
| | - Fränzel J B van Duijnhoven
- Division of Human Nutrition and Health, Wageningen University and Research, P.O. Box 17, 6700 AA, Wageningen, The Netherlands.
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32
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Nayor M, Shah SH, Murthy V, Shah RV. Molecular Aspects of Lifestyle and Environmental Effects in Patients With Diabetes: JACC Focus Seminar. J Am Coll Cardiol 2021; 78:481-495. [PMID: 34325838 DOI: 10.1016/j.jacc.2021.02.070] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 01/07/2021] [Accepted: 02/01/2021] [Indexed: 01/04/2023]
Abstract
Diabetes is characterized as an integrated condition of dysregulated metabolism across multiple tissues, with well-established consequences on the cardiovascular system. Recent advances in precision phenotyping in biofluids and tissues in large human observational and interventional studies have afforded a unique opportunity to translate seminal findings in models and cellular systems to patients at risk for diabetes and its complications. Specifically, techniques to assay metabolites, proteins, and transcripts, alongside more recent assessment of the gut microbiome, underscore the complexity of diabetes in patients, suggesting avenues for precision phenotyping of risk, response to intervention, and potentially novel therapies. In addition, the influence of external factors and inputs (eg, activity, diet, medical therapies) on each domain of molecular characterization has gained prominence toward better understanding their role in prevention. Here, the authors provide a broad overview of the role of several of these molecular domains in human translational investigation in diabetes.
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Affiliation(s)
- Matthew Nayor
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA. https://twitter.com/MattNayor
| | - Svati H Shah
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, USA; Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA. https://twitter.com/SvatiShah
| | - Venkatesh Murthy
- Division of Cardiovascular Medicine, Department of Medicine, University of Michigan, Ann Arbor, Michigan, USA; Frankel Cardiovascular Center, University of Michigan, Ann Arbor, Michigan, USA. https://twitter.com/venkmurthy
| | - Ravi V Shah
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
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33
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Wang NC, Bagheri M, Olszewski T, Friese KA, Smith HM, Robles ME, Wang C, Brooks A, Bordenstein SR, Ferguson JF, Silver HJ. New-onset vegetarian diet shows differences in fatty acid metabolites in European American and African American women. Nutr Metab Cardiovasc Dis 2021; 31:2436-2448. [PMID: 34176710 PMCID: PMC10317312 DOI: 10.1016/j.numecd.2021.05.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 05/12/2021] [Accepted: 05/13/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND AIMS The type of fat consumed in animal-based western diets, typically rich in the saturated fat palmitate, has been implicated in cardiometabolic disease risk. In contrast, the most abundant mono- and polyunsaturated fats, more typical in a vegetarian or plant-based diet, potentiate less deleterious effects. This study determined differences in plasma and urine metabolites when switching from omnivorous to vegetarian diet, including metabolites involved in fatty acid utilization. METHODS AND RESULTS A prospective cohort of 38 European (EA) and African American (AA) omnivorous females were matched by age (25.7 ± 5.3y) and BMI (22.4 ± 1.9 kg/m2). Pre-intervention samples were collected while subjects consumed habitual animal-based diet. Changes in metabolites were assessed by ultra-high-performance liquid chromatography-tandem mass spectroscopy (Metabolon, Inc.) upon completing four days of novel vegetarian diet provided by the Vanderbilt Metabolic Kitchen. Changes in several diet-derived metabolites were observed, including increases in compounds derived from soy food metabolism along with decreases in metabolites of xanthine and histidine. Significant changes occurred in metabolites of saturated, monounsaturated and polyunsaturated fatty acids along with significant differences between EA and AA women in changes in plasma concentrations of acylcarnitines, which reflect the completeness of fatty acid oxidation (versus storage). CONCLUSION These data suggest improvements in fatty acid metabolism (oxidation vs storage), a key factor in energy homeostasis, may be promoted rapidly by adoption of a vegetarian (plant-based) diet. Mechanistic differences in response to diet interventions must be understood to effectively provide protection against the widespread development of obesity and cardiometabolic disease in population subgroups, such as AA women.
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Affiliation(s)
- Naomi C Wang
- Vanderbilt University Medical Center, Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, USA
| | - Minoo Bagheri
- Vanderbilt University Medical Center, Department of Medicine, Division of Cardiology Medicine, USA
| | - Timothy Olszewski
- Vanderbilt University Medical Center, Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, USA
| | | | - Holly M Smith
- Vanderbilt University Medical Center, Department of Medicine, Division of Cardiology Medicine, USA
| | - Michelle E Robles
- Vanderbilt University Medical Center, Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, USA
| | - Chuan Wang
- Vanderbilt University Medical Center, Department of Medicine, Division of Cardiology Medicine, USA
| | - Andrew Brooks
- Stanford University, School of Medicine, Department of Genetics, USA
| | - Seth R Bordenstein
- Vanderbilt University, College of Arts and Sciences, Department of Biological Sciences, USA
| | - Jane F Ferguson
- Vanderbilt University Medical Center, Department of Medicine, Division of Cardiology Medicine, USA
| | - Heidi J Silver
- Vanderbilt University Medical Center, Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, USA; Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, USA.
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34
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Food for Thought or Feeding a Dogma? Diet and Coronary Artery Disease: a Clinician's Perspective. Curr Cardiol Rep 2021; 23:127. [PMID: 34279741 DOI: 10.1007/s11886-021-01557-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/08/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE OF REVIEW To provide an overview of nutrition studies evaluating the association of dietary saturated fat and meat intake with the development of coronary artery disease (CAD) and discuss implications of recent data. RECENT FINDINGS Recent studies have led to the re-evaluation of the role of saturated fat in CAD. Randomized controlled trials (RCTs) support Mediterranean diet to reduce cardiovascular risk. Recent data revealed significant association of intake of meat or poultry with increased risk, but fish consumption was associated with lower risk of incident CAD. In this review, we provide a brief overview of the studies and data that have led to the re-evaluation of the link between saturated fat and CAD. Due to conflicting data from long-term prospective cohort studies and significant heterogeneity, associations of unprocessed meat with CAD are less clear compared to the role of processed meat. Pooled data from prospective cohort studies have overcome some of these limitations and show association of both processed and unprocessed meat and poultry intake but not fish consumption with incident CAD. These findings were also validated recently in a large UK Biobank prospective study. While recognizing the limitations of these cohort studies, we discuss relevant landmark RCTs. We finally consider the challenges with RCTs in nutrition research to improve the quality of evidence and need for evidence-based dietary guidelines with respect to saturated fat intake from a clinical perspective.
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35
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Lépine G, Fouillet H, Rémond D, Huneau JF, Mariotti F, Polakof S. A Scoping Review: Metabolomics Signatures Associated with Animal and Plant Protein Intake and Their Potential Relation with Cardiometabolic Risk. Adv Nutr 2021; 12:2112-2131. [PMID: 34229350 PMCID: PMC8634484 DOI: 10.1093/advances/nmab073] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 04/22/2021] [Accepted: 05/12/2021] [Indexed: 12/11/2022] Open
Abstract
The dietary shift from animal protein (AP) to plant protein (PP) sources is encouraged for both environmental and health reasons. For instance, PPs are associated with lower cardiovascular and diabetes risks compared with APs, although the underlying mechanisms mostly remain unknown. Metabolomics is a valuable tool for globally and mechanistically characterizing the impact of AP and PP intake, given its unique ability to provide integrated signatures and specific biomarkers of metabolic effects through a comprehensive snapshot of metabolic status. This scoping review is aimed at gathering and analyzing the available metabolomics data associated with PP- and AP-rich diets, and discusses the metabolic effects underlying these metabolomics signatures and their potential implication for cardiometabolic health. We selected 24 human studies comparing the urine, plasma, or serum metabolomes associated with diets with contrasted AP and PP intakes. Among the 439 metabolites reported in those studies as able to discriminate AP- and PP-rich diets, 46 were considered to provide a robust level of evidence, according to a scoring system, especially amino acids (AAs) and AA-related products. Branched-chain amino acids, aromatic amino acids (AAAs), glutamate, short-chain acylcarnitines, and trimethylamine-N-oxide, which are known to be related to an increased cardiometabolic risk, were associated with AP-rich diets, whereas glycine (rather related to a reduced risk) was associated with PP-rich diets. Tricarboxylic acid (TCA) cycle intermediates and products from gut microbiota AAA degradation were also often reported, but the direction of their associations differed across studies. Overall, AP- and PP-rich diets result in different metabolomics signatures, with several metabolites being plausible candidates to explain some of their differential associations with cardiometabolic risk. Additional studies specifically focusing on protein type, with rigorous intake control, are needed to better characterize the associated metabolic phenotypes and understand how they could mediate differential AP and PP effects on cardiometabolic risk.
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Affiliation(s)
- Gaïa Lépine
- Université Clermont Auvergne, INRAE, UMR 1019, Unité Nutrition Humaine, Clermont-Ferrand, France,Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, Paris, France
| | - Hélène Fouillet
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, Paris, France
| | - Didier Rémond
- Université Clermont Auvergne, INRAE, UMR 1019, Unité Nutrition Humaine, Clermont-Ferrand, France
| | | | - François Mariotti
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, Paris, France
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36
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Mitchell CM, Piaggi P, O’Brien DM, Krakoff J, Votruba SB. Metabolic Characterization of Meat, Fish, and Soda Intake in Males: Secondary Results from a Randomized Inpatient Pilot Study. Obesity (Silver Spring) 2021; 29:995-1002. [PMID: 33938613 PMCID: PMC9528993 DOI: 10.1002/oby.23167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 02/17/2021] [Accepted: 02/28/2021] [Indexed: 11/09/2022]
Abstract
OBJECTIVE This study aimed to evaluate whether a 12-week, weight-maintaining, macronutrient-stable dietary intervention that varies only by meat, fish, or soda consumption alters 24-hour energy expenditure (24hrEE) and substrate oxidation. METHODS Healthy males were recruited to participate in a 12-week inpatient study and were randomized to a weight-maintaining dietary intervention that contained varying combinations of meat (0% or 19%), fish (0% or 6%), or soda (0% or 14%) in a factorial design. Macronutrient composition across dietary intervention groups was as follows: 50% of energy from carbohydrates, 30% of energy from fat, and 20% of energy from protein. Whole-room indirect calorimetry at baseline and week 12 were used to measure 24hrEE and substrate oxidation. RESULTS Twenty-six males (mean [SEM], age: 46.6 [10.4] years; BMI: 26.9 [4.1] kg/m2 ) completed all measurements. Fish consumption resulted in higher 24hrEE by 126 (55) kcal/d compared with no fish consumption (P = 0.03), whereas 24hrEE for soda consumption was 132 (56) kcal/d (P = 0.03) lower. Approximately 80% of the decrease in 24hrEE with soda consumption was due to lower awake-inactive energy expenditure (EE; P = 0.001). No specific EE component accounted for the differences observed with fish consumption. CONCLUSIONS The data indicate that dietary sources of protein and carbohydrates appear to influence 24hrEE and inactive EE.
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Affiliation(s)
- Cassie M. Mitchell
- 4212 N. 16 Street, Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, 85016 USA
| | - Paolo Piaggi
- 4212 N. 16 Street, Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, 85016 USA
| | - Diane M. O’Brien
- 230 Artic Health Research Building, Center for Alaska Native Health Research, Department of Biology and Wildlife, University of Alaska Fairbanks, Fairbanks, AK, 99775, USA
| | - Jonathan Krakoff
- 4212 N. 16 Street, Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, 85016 USA
| | - Susanne B. Votruba
- 4212 N. 16 Street, Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, 85016 USA
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37
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Bermingham KM, Brennan L, Segurado R, Barron RE, Gibney ER, Ryan MF, Gibney MJ, O'Sullivan AM. Genetic and environmental influences on covariation in reproducible diet-metabolite associations. Am J Clin Nutr 2021; 113:1232-1240. [PMID: 33826700 DOI: 10.1093/ajcn/nqaa378] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 11/18/2020] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Early applications of metabolomics in nutrition and health research identified associations between dietary patterns and metabolomic profiles. Twin studies show that diet-related phenotypes and diet-associated metabolites are influenced by genes. However, studies have not examined whether diet-metabolite associations are explained by genetic or environmental factors and whether these associations are reproducible over multiple time points. OBJECTIVE This research aims to examine the genetic and environmental factors influencing covariation in diet-metabolite associations that are reproducible over time in healthy twins. METHODS The UCD Twin Study is a semi-longitudinal classic twin study that collected repeated dietary, anthropometric, and urinary data over 2 months. Correlation analysis identified associations between diet quality measured using the Healthy Eating Index (HEI) and urinary metabolomic profiles at 3 time points. Diet-associated metabolites were examined using linear regression to identify those significantly influenced by familial factors between twins and those significantly influenced by unique factors. Cholesky decomposition modeling quantified the genetic and environmental path coefficients through associated dietary components onto the metabolites. RESULTS The HEI was associated with 14 urinary metabolites across 3 metabolomic profiles (r: ±0.15-0.49). For 8 diet-metabolite associations, genetic or shared environmental factors influencing HEI component scores significantly influenced variation in metabolites (β: 0.40-0.52). A significant relation was observed between dietary intakes of whole grain and acetoacetate (β: -0.50, P < 0.001) and β-hydroxybutyrate (β: -0.46, P < 0.001), as well as intakes of saturated fat and acetoacetate (β: 0.47, P < 0.001) and β-hydroxybutyrate (β: 0.52, P < 0.001). For these diet-metabolite associations a common shared environmental factor explained 66-69% of variance in the metabolites. CONCLUSIONS This study shows that diet-metabolite associations are reproducible in 3 urinary metabolomic profiles. Components of the HEI covary with metabolites, and covariation is largely due to the shared environment.
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Affiliation(s)
- Kate M Bermingham
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Lorraine Brennan
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland.,UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland
| | - Ricardo Segurado
- UCD School of Public Health, Physiotherapy and Sports Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Rebecca E Barron
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Eileen R Gibney
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Miriam F Ryan
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Michael J Gibney
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Aifric M O'Sullivan
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
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Galié S, García-Gavilán J, Papandreou C, Camacho-Barcía L, Arcelin P, Palau-Galindo A, Rabassa A, Bulló M. Effects of Mediterranean Diet on plasma metabolites and their relationship with insulin resistance and gut microbiota composition in a crossover randomized clinical trial. Clin Nutr 2021; 40:3798-3806. [PMID: 34130026 DOI: 10.1016/j.clnu.2021.04.028] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 04/14/2021] [Accepted: 04/17/2021] [Indexed: 12/18/2022]
Abstract
BACKGROUND & AIMS The Mediterranean Diet (MedDiet) may decrease the cardiometabolic risk through modulation of metabolic pathways. Furthermore, the interplay between MedDiet, metabolites and microbial metabolism may improve our understanding on the metabolic effects of this diet. We aimed to evaluate the effect of the MedDiet compared to nuts supplementation on circulating metabolites and their relationship with cardiometabolic health. We further examined whether changes in the metabolomic profiles were associated with changes in gut microbiota composition in a multi-omics integrative approach. METHODS Forty-four adults with Metabolic Syndrome (MetS), (aged 37-65) participated in a randomized controlled, crossover 2-months dietary-intervention trial with a 1-month wash-out period, consuming a MedDiet or a non MedDiet plus nuts (50 g/day). Nutritional data were collected at the beginning and the end of each intervention period using 3-day dietary records, as well as fasting blood and fecal samples. Plasma metabolites (m = 378) were profiled using targeted metabolomics. Associations of these metabolites with the interventions were assessed with elastic net regression analyses. Gut microbiota composition was assessed by 16S rRNA sequencing. A sparse least regression analysis combined with a canonical correlation analysis was conducted between the plasma selected metabolites and genera in order to identify the relevant dual-omics signatures discriminating the dietary interventions. RESULTS Changes in 65 circulating metabolites were significantly associated with the MedDiet (mainly lipids, acylcarnitines, amino acids, steroids and TCA intermediates). Importantly, these changes were associated with decreases in glucose, insulin and HOMA-IR. The network analysis identified two main clusters of genera with an opposite behaviour towards selected metabolites, mainly PC species, ChoE(20:5), TGs and medium/long-chain acylcarnitines. CONCLUSION Following a MedDiet, rather than consuming nuts in the context of a non-MedDiet was associated with a specific plasma metabolomic profile, which was also related to metabolic improvements in adults with MetS. The identified correlated network between specific bacteria and metabolites suggests interplay between diet, circulating metabolites and gut microbiota. The trial was registered in the ISRCTN with identifier ISRCTN88780852, https://doi.org/10.1186/ISRCTN88780852.
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Affiliation(s)
- Serena Galié
- Department of Biochemistry and Biotechnology, Faculty of Medicine and Health Sciences, University Rovira i Virgili (URV), Reus, Spain; Institute of Health Pere Virgili, IISPV, University Hospital Sant Joan, Reus, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Jesús García-Gavilán
- Department of Biochemistry and Biotechnology, Faculty of Medicine and Health Sciences, University Rovira i Virgili (URV), Reus, Spain; Institute of Health Pere Virgili, IISPV, University Hospital Sant Joan, Reus, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Christopher Papandreou
- Department of Biochemistry and Biotechnology, Faculty of Medicine and Health Sciences, University Rovira i Virgili (URV), Reus, Spain; Institute of Health Pere Virgili, IISPV, University Hospital Sant Joan, Reus, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Lucía Camacho-Barcía
- Department of Biochemistry and Biotechnology, Faculty of Medicine and Health Sciences, University Rovira i Virgili (URV), Reus, Spain; Institute of Health Pere Virgili, IISPV, University Hospital Sant Joan, Reus, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Pierre Arcelin
- ABS Reus V. Centre d'Assistència Primària Marià Fortuny, SAGESSA, Reus, Spain
| | | | - Antoni Rabassa
- Institute of Health Pere Virgili, IISPV, University Hospital Sant Joan, Reus, Spain
| | - Mònica Bulló
- Department of Biochemistry and Biotechnology, Faculty of Medicine and Health Sciences, University Rovira i Virgili (URV), Reus, Spain; Institute of Health Pere Virgili, IISPV, University Hospital Sant Joan, Reus, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
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Schulz CA, Oluwagbemigun K, Nöthlings U. Advances in dietary pattern analysis in nutritional epidemiology. Eur J Nutr 2021; 60:4115-4130. [PMID: 33899149 PMCID: PMC8572214 DOI: 10.1007/s00394-021-02545-9] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 03/22/2021] [Indexed: 02/06/2023]
Abstract
Background and Purpose It used to be a common practice in the field of nutritional epidemiology to analyze separate nutrients, foods, or food groups. However, in reality, nutrients and foods are consumed in combination. The introduction of dietary patterns (DP) and their analysis has revolutionized this field, making it possible to take into account the synergistic effects of foods and to account for the complex interaction among nutrients and foods. Three approaches of DP analysis exist: (1) the hypothesis-based approach (based on prior knowledge regarding the current understanding of dietary components and their health relation), (2) the exploratory approach (solely relying on dietary intake data), and (3) the hybrid approach (a combination of both approaches). During the recent past, complementary approaches for DP analysis have emerged both conceptually and methodologically. Method We have summarized the recent developments that include incorporating the Treelet transformation method as a complementary exploratory approach in a narrative review. Results Uses, peculiarities, strengths, limitations, and scope of recent developments in DP analysis are outlined. Next, the narrative review gives an overview of the literature that takes into account potential relevant dietary-related factors, specifically the metabolome and the gut microbiome in DP analysis. Then the review deals with the aspect of data processing that is needed prior to DP analysis, particularly when dietary data arise from assessment methods other than the long-established food frequency questionnaire. Lastly, potential opportunities for upcoming DP analysis are summarized in the outlook.
Conclusion Biological factors like the metabolome and the microbiome are crucial to understand diet-disease relationships. Therefore, the inclusion of these factors in DP analysis might provide deeper insights.
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Affiliation(s)
- Christina-Alexandra Schulz
- Department of Nutrition and Food Sciences, Nutritional Epidemiology, University of Bonn, Endenicher Allee 19b, 53115, Bonn, Germany
| | - Kolade Oluwagbemigun
- Department of Nutrition and Food Sciences, Nutritional Epidemiology, University of Bonn, Endenicher Allee 19b, 53115, Bonn, Germany
| | - Ute Nöthlings
- Department of Nutrition and Food Sciences, Nutritional Epidemiology, University of Bonn, Endenicher Allee 19b, 53115, Bonn, Germany.
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40
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Liu Y, Song X, Liu X, Pu J, Gui S, Xu S, Tian L, Zhong X, Zhao L, Wang H, Liu L, Xu G, Xie P. Alteration of lipids and amino acids in plasma distinguish schizophrenia patients from controls: A targeted metabolomics study. Psychiatry Clin Neurosci 2021; 75:138-144. [PMID: 33421228 DOI: 10.1111/pcn.13194] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 12/10/2020] [Accepted: 12/22/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Schizophrenia (SCZ) is a serious psychiatric disorder. Metabolite disturbance is an important pathogenic factor in schizophrenic patients. In this study, we aim to identify plasma lipid and amino acid biomarkers for SCZ using targeted metabolomics. METHODS Plasma from 76 SCZ patients and 50 matched controls were analyzed using the LC/MS-based multiple reaction monitoring (MRM) metabolomics approach. A total of 182 targeted metabolites, including 22 amino acids and 160 lipids or lipid-related metabolites were observed. We used binary logistic regression analysis to determine whether the lipid and amino acid biomarkers could discriminate SCZ patients from controls. The area under the curve (AUC) from receiver operation characteristic (ROC) curve analysis was conducted to evaluate the diagnostic performance of the biomarkers panel. RESULTS We identified 19 significantly differentially expressed metabolites between the SCZ patients and the controls (false discovery rate < 0.05), including one amino acid and 18 lipids or lipid-related metabolites. The binary logistic regression-selected panel showed good diagnostic performance in the drug-naïve group (AUC = 0.936) and all SCZ patients (AUC = 0.948), especially in the drug-treated group (AUC = 0.963). CONCLUSIONS Plasma lipids and amino acids showed significant dysregulation in SCZ, which could effectively discriminate SCZ patients from controls. The LC/MS/MS-based approach provides reliable data for the objective diagnosis of SCZ.
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Affiliation(s)
- Yiyun Liu
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Key Laboratory of Psychoseomadsy, Stomatological Hospital of Chongqing Medical University, Chongqing, China
| | - Xuemian Song
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University, Chongqing, China
| | - Xinyu Liu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Dalian, China
| | - Juncai Pu
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Key Laboratory of Psychoseomadsy, Stomatological Hospital of Chongqing Medical University, Chongqing, China
| | - Siwen Gui
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University, Chongqing, China
| | - Shaohua Xu
- Department of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, China
| | - Lu Tian
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaogang Zhong
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Libo Zhao
- Department of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, China
| | - Haiyang Wang
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lanxiang Liu
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Guowang Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Dalian, China
| | - Peng Xie
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Key Laboratory of Psychoseomadsy, Stomatological Hospital of Chongqing Medical University, Chongqing, China
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41
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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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42
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Boukid F, Rosell CM, Rosene S, Bover-Cid S, Castellari M. Non-animal proteins as cutting-edge ingredients to reformulate animal-free foodstuffs: Present status and future perspectives. Crit Rev Food Sci Nutr 2021; 62:6390-6420. [PMID: 33775185 DOI: 10.1080/10408398.2021.1901649] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Consumer interest in protein rich diets is increasing, with more attention being paid to the protein source. Despite the occurrence of animal proteins in the human diet, non-animal proteins are gaining popularity around the world due to their health benefits, environmental sustainability, and ethical merit. These sources of protein qualify for vegan, vegetarian, and flexitarian diets. Non-animal proteins are versatile, derived mainly from cereals, vegetables, pulses, algae (seaweed and microalgae), fungi, and bacteria. This review's intent is to analyze the current and future direction of research and innovation in non-animal proteins, and to elucidate the extent (limitations and opportunities) of their applications in food and beverage industries. Prior knowledge provided relevant information on protein features (processing, structure, and techno-functionality) with particular focus on those derived from soy and wheat. In the current food landscape, beyond conventionally used plant sources, other plant proteins are gaining traction as alternative ingredients to formulate animal-free foodstuffs (e.g., meat alternatives, beverages, baked products, snack foods, and others). Microbial proteins derived from fungi and algae are also food ingredients of interest due to their high protein quantity and quality, however there is no commercial food application for bacterial protein yet. In the future, key points to consider are the importance of strain/variety selection, advances in extraction technologies, toxicity assessment, and how this source can be used to create food products for personalized nutrition.
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Affiliation(s)
- Fatma Boukid
- Institute of Agriculture and Food Research and Technology (IRTA), Food Safety and Functionality Programme, Monells, Catalonia, Spain
| | - Cristina M Rosell
- Institute of Agrochemistry and Food Technology (IATA-CSIC), Paterna, Valencia, Spain
| | - Sara Rosene
- General Mills, Golden Valley, Minnesota, USA
| | - Sara Bover-Cid
- Institute of Agriculture and Food Research and Technology (IRTA), Food Safety and Functionality Programme, Monells, Catalonia, Spain
| | - Massimo Castellari
- Institute of Agriculture and Food Research and Technology (IRTA), Food Safety and Functionality Programme, Monells, Catalonia, Spain
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43
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Schmidt JA, Fensom GK, Rinaldi S, Scalbert A, Gunter MJ, Holmes MV, Key TJ, Travis RC. NMR Metabolite Profiles in Male Meat-Eaters, Fish-Eaters, Vegetarians and Vegans, and Comparison with MS Metabolite Profiles. Metabolites 2021; 11:121. [PMID: 33672542 PMCID: PMC7923783 DOI: 10.3390/metabo11020121] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 02/12/2021] [Accepted: 02/14/2021] [Indexed: 12/23/2022] Open
Abstract
Metabolomics may help to elucidate mechanisms underlying diet-disease relationships and identify novel risk factors for disease. To inform the design and interpretation of such research, evidence on diet-metabolite associations and cross-assay comparisons is needed. We aimed to compare nuclear magnetic resonance (NMR) metabolite profiles between meat-eaters, fish-eaters, vegetarians and vegans, and to compare NMR measurements to those from mass spectrometry (MS), clinical chemistry and capillary gas-liquid chromatography (GC). We quantified 207 serum NMR metabolite measures in 286 male participants of the European Prospective Investigation into Cancer and Nutrition (EPIC)-Oxford cohort. Using univariate and multivariate analyses, we found that metabolite profiles varied by diet group, especially for vegans; the main differences compared to meat-eaters were lower levels of docosahexaenoic acid, total n-3 and saturated fatty acids, cholesterol and triglycerides in very-low-density lipoproteins, various lipid factions in high-density lipoprotein, sphingomyelins, tyrosine and creatinine, and higher levels of linoleic acid, total n-6, polyunsaturated fatty acids and alanine. Levels in fish-eaters and vegetarians differed by metabolite measure. Concentrations of 13 metabolites measured using both NMR and MS, clinical chemistry or GC were mostly similar. In summary, vegans' metabolite profiles were markedly different to those of men consuming animal products. The studied metabolomics platforms are complementary, with limited overlap between metabolite classes.
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Affiliation(s)
- Julie A. Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK; (G.K.F.); (T.J.K.); (R.C.T.)
| | - Georgina K. Fensom
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK; (G.K.F.); (T.J.K.); (R.C.T.)
- Department of International Development, University of Oxford, Oxford OX1 3TB, UK
| | - Sabina Rinaldi
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, 69372 Lyon, France; (S.R.); (A.S.); (M.J.G.)
| | - Augustin Scalbert
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, 69372 Lyon, France; (S.R.); (A.S.); (M.J.G.)
| | - Marc J. Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, 69372 Lyon, France; (S.R.); (A.S.); (M.J.G.)
| | - Michael V. Holmes
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK;
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Timothy J. Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK; (G.K.F.); (T.J.K.); (R.C.T.)
| | - Ruth C. Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK; (G.K.F.); (T.J.K.); (R.C.T.)
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Shibutami E, Ishii R, Harada S, Kurihara A, Kuwabara K, Kato S, Iida M, Akiyama M, Sugiyama D, Hirayama A, Sato A, Amano K, Sugimoto M, Soga T, Tomita M, Takebayashi T. Charged metabolite biomarkers of food intake assessed via plasma metabolomics in a population-based observational study in Japan. PLoS One 2021; 16:e0246456. [PMID: 33566801 PMCID: PMC7875413 DOI: 10.1371/journal.pone.0246456] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 01/19/2021] [Indexed: 11/18/2022] Open
Abstract
Food intake biomarkers can be critical tools that can be used to objectively assess dietary exposure for both epidemiological and clinical nutrition studies. While an accurate estimation of food intake is essential to unravel associations between the intake and specific health conditions, random and systematic errors affect self-reported assessments. This study aimed to clarify how habitual food intake influences the circulating plasma metabolome in a free-living Japanese regional population and to identify potential food intake biomarkers. To achieve this aim, we conducted a cross-sectional analysis as part of a large cohort study. From a baseline survey of the Tsuruoka Metabolome Cohort Study, 7,012 eligible male and female participants aged 40-69 years were chosen for this study. All data on patients' health status and dietary intake were assessed via a food frequency questionnaire, and plasma samples were obtained during an annual physical examination. Ninety-four charged plasma metabolites were measured using capillary electrophoresis mass spectrometry, by a non-targeted approach. Statistical analysis was performed using partial-least-square regression. A total of 21 plasma metabolites were likely to be associated with long-term food intake of nine food groups. In particular, the influential compounds in each food group were hydroxyproline for meat, trimethylamine-N-oxide for fish, choline for eggs, galactarate for dairy, cystine and betaine for soy products, threonate and galactarate for carotenoid-rich vegetables, proline betaine for fruits, quinate and trigonelline for coffee, and pipecolate for alcohol, and these were considered as prominent food intake markers in Japanese eating habits. A set of circulating plasma metabolites was identified as potential food intake biomarkers in the Japanese community-dwelling population. These results will open the way for the application of new reliable dietary assessment tools not by self-reported measurements but through objective quantification of biofluids.
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Affiliation(s)
- Eriko Shibutami
- Graduate School of Health Management, Keio University, Fujisawa, Kanagawa, Japan
| | - Ryota Ishii
- Biostatistics Unit, Clinical and Translational Research Center, Keio University Hospital, Tokyo, Japan
| | - Sei Harada
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
| | - Ayako Kurihara
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Kazuyo Kuwabara
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Suzuka Kato
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Miho Iida
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Miki Akiyama
- Graduate School of Health Management, Keio University, Fujisawa, Kanagawa, Japan
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
- Faculty of Environment and Information Studies, Keio University, Fujisawa, Kanagawa, Japan
| | - Daisuke Sugiyama
- Graduate School of Health Management, Keio University, Fujisawa, Kanagawa, Japan
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Faculty of Nursing and Medical Care, Keio University, Fujisawa, Kanagawa, Japan
| | - Akiyoshi Hirayama
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
| | - Asako Sato
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
| | - Kaori Amano
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
| | - Masahiro Sugimoto
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
| | - Tomoyoshi Soga
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
- Faculty of Environment and Information Studies, Keio University, Fujisawa, Kanagawa, Japan
| | - Masaru Tomita
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
- Faculty of Environment and Information Studies, Keio University, Fujisawa, Kanagawa, Japan
| | - Toru Takebayashi
- Graduate School of Health Management, Keio University, Fujisawa, Kanagawa, Japan
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
- * E-mail:
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Abstract
Plant-based diets exclude or substantially limit the consumption of meat and animal products and are of growing interest to many due to their sustainability and health benefits (Eshel et al, 2016). Veganism is an extreme type of plant-based diet which excludes the consumption of all animal-derived foods such as meat, eggs, and dairy, as well as foods containing animal-derived ingredients. In adults, for example, certain observational studies have suggested lower body mass index, total cholesterol, LDL-cholesterol, decreased incidence and mortality from ischemic heart disease, and decreased incidence of cancer in vegans and vegetarians versus omnivores (Dinu et al, 2017). The mechanistic basis for these observations and their generality are unclear.
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Affiliation(s)
- Annamarie E Allen
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA
| | - Jason W Locasale
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA
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Stepien M, Keski-Rahkonen P, Kiss A, Robinot N, Duarte-Salles T, Murphy N, Perlemuter G, Viallon V, Tjønneland A, Rostgaard-Hansen AL, Dahm CC, Overvad K, Boutron-Ruault MC, Mancini FR, Mahamat-Saleh Y, Aleksandrova K, Kaaks R, Kühn T, Trichopoulou A, Karakatsani A, Panico S, Tumino R, Palli D, Tagliabue G, Naccarati A, Vermeulen RCH, Bueno-de-Mesquita HB, Weiderpass E, Skeie G, Ramón Quirós J, Ardanaz E, Mokoroa O, Sala N, Sánchez MJ, Huerta JM, Winkvist A, Harlid S, Ohlsson B, Sjöberg K, Schmidt JA, Wareham N, Khaw KT, Ferrari P, Rothwell JA, Gunter M, Riboli E, Scalbert A, Jenab M. Metabolic perturbations prior to hepatocellular carcinoma diagnosis: Findings from a prospective observational cohort study. Int J Cancer 2021; 148:609-625. [PMID: 32734650 DOI: 10.1002/ijc.33236] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 06/16/2020] [Accepted: 06/26/2020] [Indexed: 12/19/2022]
Abstract
Hepatocellular carcinoma (HCC) development entails changes in liver metabolism. Current knowledge on metabolic perturbations in HCC is derived mostly from case-control designs, with sparse information from prospective cohorts. Our objective was to apply comprehensive metabolite profiling to detect metabolites whose serum concentrations are associated with HCC development, using biological samples from within the prospective European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (>520 000 participants), where we identified 129 HCC cases matched 1:1 to controls. We conducted high-resolution untargeted liquid chromatography-mass spectrometry-based metabolomics on serum samples collected at recruitment prior to cancer diagnosis. Multivariable conditional logistic regression was applied controlling for dietary habits, alcohol consumption, smoking, body size, hepatitis infection and liver dysfunction. Corrections for multiple comparisons were applied. Of 9206 molecular features detected, 220 discriminated HCC cases from controls. Detailed feature annotation revealed 92 metabolites associated with HCC risk, of which 14 were unambiguously identified using pure reference standards. Positive HCC-risk associations were observed for N1-acetylspermidine, isatin, p-hydroxyphenyllactic acid, tyrosine, sphingosine, l,l-cyclo(leucylprolyl), glycochenodeoxycholic acid, glycocholic acid and 7-methylguanine. Inverse risk associations were observed for retinol, dehydroepiandrosterone sulfate, glycerophosphocholine, γ-carboxyethyl hydroxychroman and creatine. Discernible differences for these metabolites were observed between cases and controls up to 10 years prior to diagnosis. Our observations highlight the diversity of metabolic perturbations involved in HCC development and replicate previous observations (metabolism of bile acids, amino acids and phospholipids) made in Asian and Scandinavian populations. These findings emphasize the role of metabolic pathways associated with steroid metabolism and immunity and specific dietary and environmental exposures in HCC development.
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Affiliation(s)
- Magdalena Stepien
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Pekka Keski-Rahkonen
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Agneta Kiss
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Nivonirina Robinot
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Talita Duarte-Salles
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
- Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, Spain
| | - Neil Murphy
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Gabriel Perlemuter
- INSERM UMRS U996 - Intestinal Microbiota, Macrophages and Liver Inflammation, Clamart, France
- Université Paris-Sud, Clamart, France
- AP-HP, Hepato-gastroenterology and Nutrition, Antoine-Béclère Hospital, Clamart, France
| | - Vivian Viallon
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Anne Tjønneland
- Diet, Genes and Environment Unit, Danish Cancer Society Research Center, Copenhagen, Denmark
| | | | - Christina C Dahm
- Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Kim Overvad
- Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Marie-Christine Boutron-Ruault
- CESP, Faculté de médecine-Université Paris-Sud, Faculté de médecine-UVSQ, INSERM, Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Francesca Romana Mancini
- CESP, Faculté de médecine-Université Paris-Sud, Faculté de médecine-UVSQ, INSERM, Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Yahya Mahamat-Saleh
- CESP, Faculté de médecine-Université Paris-Sud, Faculté de médecine-UVSQ, INSERM, Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Krasimira Aleksandrova
- Department of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbrücke, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Dept. of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Anna Karakatsani
- Hellenic Health Foundation, Athens, Greece
- Second Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, "ATTIKON" University Hospital, Haidari, Greece
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Provincial Health Authority (ASP) Ragusa, Ragusa, Italy
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Florence, Italy
| | - Giovanna Tagliabue
- Lombardy Cancer Registry Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Alessio Naccarati
- Molecular and Genetic Epidemiology Unit, Italian Institute for Genomic Medicine (IIGM) Torino, Torino, Italy
| | - Roel C H Vermeulen
- Institute of Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Hendrik Bastiaan Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Elisabete Weiderpass
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | | | - Eva Ardanaz
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Olatz Mokoroa
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, Biodonostia Research Institute, San Sebastian, Spain
| | - Núria Sala
- Unit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Program and Translational Research Laboratory, Catalan Institute of Oncology (IDIBELL), Barcelona, Spain
| | - Maria-Jose Sánchez
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs. Granada. Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
| | - José María Huerta
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, Murcia, Spain
| | - Anna Winkvist
- The Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden
- Department of Public Health and Clinical Medicine, Nutrition Research, Umeå University, Umeå, Sweden
| | - Sophia Harlid
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Bodil Ohlsson
- Skåne University Hospital, Department of Internal Medicine, Lund University, Malmö, Sweden
| | - Klas Sjöberg
- Skåne University Hospital, Department of Gastroenterology and Nutrition, Lund University, Malmö, Sweden
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Nick Wareham
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Kay-Tee Khaw
- University of Cambridge, School of Clinical Medicine, Clinical Gerontology Unit, Addenbrooke's Hospital, Cambridge, UK
| | - Pietro Ferrari
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Joseph A Rothwell
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
- Institut Gustave Roussy, Villejuif, France
| | - Marc Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Augustin Scalbert
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Mazda Jenab
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
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Hovinen T, Korkalo L, Freese R, Skaffari E, Isohanni P, Niemi M, Nevalainen J, Gylling H, Zamboni N, Erkkola M, Suomalainen A. Vegan diet in young children remodels metabolism and challenges the statuses of essential nutrients. EMBO Mol Med 2021; 13:e13492. [PMID: 33471422 PMCID: PMC7863396 DOI: 10.15252/emmm.202013492] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 12/03/2020] [Accepted: 12/04/2020] [Indexed: 12/12/2022] Open
Abstract
Vegan diets are gaining popularity, also in families with young children. However, the effects of strict plant-based diets on metabolism and micronutrient status of children are unknown. We recruited 40 Finnish children with a median age 3.5 years-vegans, vegetarians, or omnivores from same daycare centers-for a cross-sectional study. They enjoyed nutritionist-planned vegan or omnivore meals in daycare, and the full diets were analyzed with questionnaires and food records. Detailed analysis of serum metabolomics and biomarkers indicated vitamin A insufficiency and border-line sufficient vitamin D in all vegan participants. Their serum total, HDL and LDL cholesterol, essential amino acid, and docosahexaenoic n-3 fatty acid (DHA) levels were markedly low and primary bile acid biosynthesis, and phospholipid balance was distinct from omnivores. Possible combination of low vitamin A and DHA status raise concern for their visual health. Our evidence indicates that (i) vitamin A and D status of vegan children requires special attention; (ii) dietary recommendations for children cannot be extrapolated from adult vegan studies; and (iii) longitudinal studies on infant-onset vegan diets are warranted.
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Affiliation(s)
- Topi Hovinen
- Research Programs Unit, Stem Cells and Metabolism, University of Helsinki, Helsinki, Finland
| | - Liisa Korkalo
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Riitta Freese
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Essi Skaffari
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Pirjo Isohanni
- Research Programs Unit, Stem Cells and Metabolism, University of Helsinki, Helsinki, Finland.,Department of Pediatric Neurology, Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Mikko Niemi
- Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland.,HUSLAB, Helsinki University Hospital, Helsinki, Finland
| | - Jaakko Nevalainen
- Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Helena Gylling
- Department of Medicine, Division of Internal Medicine, University of Helsinki, Helsinki, Finland
| | - Nicola Zamboni
- Institute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland
| | - Maijaliisa Erkkola
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Anu Suomalainen
- Research Programs Unit, Stem Cells and Metabolism, University of Helsinki, Helsinki, Finland.,HUSLAB, Helsinki University Hospital, Helsinki, Finland.,Neuroscience Center, HiLife, University of Helsinki, Helsinki, Finland
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48
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Ramzan I, Taylor M, Phillips B, Wilkinson D, Smith K, Hession K, Idris I, Atherton P. A Novel Dietary Intervention Reduces Circulatory Branched-Chain Amino Acids by 50%: A Pilot Study of Relevance for Obesity and Diabetes. Nutrients 2020; 13:nu13010095. [PMID: 33396718 PMCID: PMC7824725 DOI: 10.3390/nu13010095] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 12/24/2020] [Accepted: 12/25/2020] [Indexed: 11/16/2022] Open
Abstract
Elevated circulating branched-chain amino acids (BCAAs; isoleucine, leucine, and valine) are associated with obesity and type 2 diabetes (T2D). Reducing circulatory BCAAs by dietary restriction was suggested to mitigate these risks in rodent models, but this is a challenging paradigm to deliver in humans. We aimed to design and assess the feasibility of a diet aimed at reducing circulating BCAA concentrations in humans, while maintaining energy balance and overall energy/protein intake. Twelve healthy individuals were assigned to either a 7-day BCAA-restricted diet or a 7-day control diet. Diets were iso-nitrogenous and iso-caloric, with only BCAA levels differing between the two. The BCAA-restricted diet significantly reduced circulating BCAA concentrations by ~50% i.e., baseline 437 ± 60 to 217 ± 40 µmol/L (p < 0.005). Individually, both valine (245 ± 33 to 105 ± 23 µmol/L; p < 0.0001), and leucine (130 ± 20 to 75 ± 13 µmol/L; p < 0.05), decreased significantly in response to the BCAA-restricted diet. The BCAA-restricted diet marginally lowered Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) levels: baseline 1.5 ± 0.2 to 1.0 ± 0.1; (p = 0.096). We successfully lowered circulating BCAAs by 50% while maintaining iso-nitrogenous, iso-caloric dietary intakes, and while meeting the recommended daily allowances (RDA) for protein requirements. The present pilot study represents a novel dietary means by which to reduce BCAA, and as such, provides a blueprint for a potential dietary therapeutic in obesity/diabetes.
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Michel M, Salvador C, Wiedemair V, Adam MG, Laser KT, Dubowy KO, Entenmann A, Karall D, Geiger R, Zlamy M, Scholl-Bürgi S. Method comparison of HPLC-ninhydrin-photometry and UHPLC-PITC-tandem mass spectrometry for serum amino acid analyses in patients with complex congenital heart disease and controls. Metabolomics 2020; 16:128. [PMID: 33319318 PMCID: PMC7736021 DOI: 10.1007/s11306-020-01741-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 10/28/2020] [Indexed: 11/17/2022]
Abstract
INTRODUCTION Metabolomics studies are not routine when quantifying amino acids (AA) in congenital heart disease (CHD). OBJECTIVES Comparative analysis of 24 AA in serum by traditional high-performance liquid chromatography (HPLC) based on ion exchange and ninhydrin derivatisation followed by photometry (PM) with ultra-high-performance liquid chromatography and phenylisothiocyanate derivatisation followed by tandem mass spectrometry (TMS); interpretation of findings in CHD patients and controls. METHODS PM: Sample analysis as above (total run time, ~ 119 min). TMS: Sample analysis by AbsoluteIDQ® p180 kit assay (BIOCRATES Life Sciences AG, Innsbruck, Austria), which employs PITC derivatisation; separation of analytes on a Waters Acquity UHPLC BEH18 C18 reversed-phase column, using water and acetonitrile with 0.1% formic acid as the mobile phases; and quantification on a Triple-Stage Quadrupole tandem mass spectrometer (Thermo Fisher Scientific, Waltham, MA) with electrospray ionisation in the presence of internal standards (total run time, ~ 8 min). Calculation of coefficients of variation (CV) (for precision), intra- and interday accuracies, limits of detection (LOD), limits of quantification (LOQ), and mean concentrations. RESULTS Both methods yielded acceptable results with regard to precision (CV < 10% PM, < 20% TMS), accuracies (< 10% PM, < 34% TMS), LOD, and LOQ. For both Fontan patients and controls AA concentrations differed significantly between methods, but patterns yielded overall were parallel. CONCLUSION Serum AA concentrations differ with analytical methods but both methods are suitable for AA pattern recognition. TMS is a time-saving alternative to traditional PM under physiological conditions as well as in patients with CHD. TRIAL REGISTRATION NUMBER ClinicalTrials.gov Identifier NCT03886935, date of registration March 27th, 2019 (retrospectively registered).
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Affiliation(s)
- Miriam Michel
- grid.5361.10000 0000 8853 2677Department of Pediatrics III, Division of Pediatric Cardiology, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria
- grid.5570.70000 0004 0490 981XCenter of Pediatric Cardiology and Congenital Heart Disease, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Georgstraße 11, 32545 Bad Oeynhausen, Germany
| | - Christina Salvador
- grid.5361.10000 0000 8853 2677Department of Pediatrics I, Division of Pediatric Cardiology, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria
| | - Verena Wiedemair
- grid.5771.40000 0001 2151 8122Management Center Innsbruck, Department of Food Technologies, Maximilianstraße 2, 6020 Innsbruck, Austria
| | - Mark Gordian Adam
- grid.431833.e0000 0004 0521 4243BIOCRATES Life Sciences AG, Eduard-Bodem-Gasse 8, 6020 Innsbruck, Austria
| | - Kai Thorsten Laser
- grid.5570.70000 0004 0490 981XCenter of Pediatric Cardiology and Congenital Heart Disease, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Georgstraße 11, 32545 Bad Oeynhausen, Germany
| | - Karl-Otto Dubowy
- grid.5570.70000 0004 0490 981XCenter of Pediatric Cardiology and Congenital Heart Disease, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Georgstraße 11, 32545 Bad Oeynhausen, Germany
| | - Andreas Entenmann
- grid.5361.10000 0000 8853 2677Department of Pediatrics I, Division of Pediatric Cardiology, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria
| | - Daniela Karall
- grid.5361.10000 0000 8853 2677Department of Pediatrics I, Division of Pediatric Cardiology, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria
| | - Ralf Geiger
- grid.5361.10000 0000 8853 2677Department of Pediatrics III, Division of Pediatric Cardiology, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria
| | - Manuela Zlamy
- grid.5361.10000 0000 8853 2677Department of Pediatrics I, Division of Pediatric Cardiology, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria
| | - Sabine Scholl-Bürgi
- grid.5361.10000 0000 8853 2677Department of Pediatrics I, Division of Pediatric Cardiology, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria
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50
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Kim H, Hu EA, E Wong K, Yu B, Steffen LM, Seidelmann SB, Boerwinkle E, Coresh J, Rebholz CM. Serum Metabolites Associated with Healthy Diets in African Americans and European Americans. J Nutr 2020; 151:40-49. [PMID: 33244610 PMCID: PMC7779213 DOI: 10.1093/jn/nxaa338] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 09/28/2020] [Accepted: 10/05/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND High diet quality is associated with a lower risk of chronic diseases. Metabolomics can be used to identify objective biomarkers of diet quality. OBJECTIVES We used metabolomics to identify serum metabolites associated with 4 diet indices and the components within these indices in 2 samples from African Americans and European Americans. METHODS We studied cross-sectional associations between known metabolites and Healthy Eating Index (HEI)-2015, Alternative Healthy Eating Index (AHEI)-2010, the Dietary Approaches to Stop Hypertension Trial (DASH) diet, alternate Mediterranean diet (aMED), and their components using untargeted metabolomics in 2 samples (n1 = 1,806, n2 = 2,056) of the Atherosclerosis Risk in Communities study (aged 45-64 y at baseline). Dietary intakes were assessed using an FFQ. We used multivariable linear regression models to examine associations between diet indices and serum metabolites in each sample, adjusting for participant characteristics. Metabolites significantly associated with diet indices were meta-analyzed across 2 samples. C-statistics were calculated to examine if these candidate biomarkers improved prediction of individuals in the highest compared with lowest quintile of diet scores beyond participant characteristics. RESULTS Seventeen unique metabolites (HEI: n = 6; AHEI: n = 5; DASH: n = 14; aMED: n = 2) were significantly associated with higher diet scores after Bonferroni correction in sample 1 and sample 2. Six of 17 significant metabolites [glycerate, N-methylproline, stachydrine, threonate, pyridoxate, 3-(4-hydroxyphenyl)lactate)] were associated with ≥1 dietary pattern. Candidate biomarkers of HEI, AHEI, and DASH distinguished individuals with highest compared with lowest quintile of diet scores beyond participant characteristics in samples 1 and 2 (P value for difference in C-statistics <0.02 for all 3 diet indices). Candidate biomarkers of aMED did not improve C-statistics beyond participant characteristics (P value = 0.930). CONCLUSIONS A considerable overlap of metabolites associated with HEI, AHEI, DASH, and aMED reflects the similar food components and similar metabolic pathways involved in the metabolism of healthy diets in African Americans and European Americans.
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Affiliation(s)
- Hyunju Kim
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Emily A Hu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Kari E Wong
- Metabolon, Research Triangle Park, Morrisville, NC, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics & Environmental Sciences, University of Texas Health Sciences Center at Houston School of Public Health, Houston, TX, USA
| | - Lyn M Steffen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | | | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics & Environmental Sciences, University of Texas Health Sciences Center at Houston School of Public Health, Houston, TX, USA
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
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