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Ulusoy-Gezer HG, Rakıcıoğlu N. The Future of Obesity Management through Precision Nutrition: Putting the Individual at the Center. Curr Nutr Rep 2024; 13:455-477. [PMID: 38806863 PMCID: PMC11327204 DOI: 10.1007/s13668-024-00550-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/18/2024] [Indexed: 05/30/2024]
Abstract
PURPOSE OF REVIEW: The prevalence of obesity continues to rise steadily. While obesity management typically relies on dietary and lifestyle modifications, individual responses to these interventions vary widely. Clinical guidelines for overweight and obesity stress the importance of personalized approaches to care. This review aims to underscore the role of precision nutrition in delivering tailored interventions for obesity management. RECENT FINDINGS: Recent technological strides have expanded our ability to detect obesity-related genetic polymorphisms, with machine learning algorithms proving pivotal in analyzing intricate genomic data. Machine learning algorithms can also predict postprandial glucose, triglyceride, and insulin levels, facilitating customized dietary interventions and ultimately leading to successful weight loss. Additionally, given that adherence to dietary recommendations is one of the key predictors of weight loss success, employing more objective methods for dietary assessment and monitoring can enhance sustained long-term compliance. Biomarkers of food intake hold promise for a more objective dietary assessment. Acknowledging the multifaceted nature of obesity, precision nutrition stands poised to transform obesity management by tailoring dietary interventions to individuals' genetic backgrounds, gut microbiota, metabolic profiles, and behavioral patterns. However, there is insufficient evidence demonstrating the superiority of precision nutrition over traditional dietary recommendations. The integration of precision nutrition into routine clinical practice requires further validation through randomized controlled trials and the accumulation of a larger body of evidence to strengthen its foundation.
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Affiliation(s)
- Hande Gül Ulusoy-Gezer
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Hacettepe University, 06100, Sıhhiye, Ankara, Türkiye
| | - Neslişah Rakıcıoğlu
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Hacettepe University, 06100, Sıhhiye, Ankara, Türkiye.
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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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Cuparencu C, Bulmuş-Tüccar T, Stanstrup J, La Barbera G, Roager HM, Dragsted LO. Towards nutrition with precision: unlocking biomarkers as dietary assessment tools. Nat Metab 2024:10.1038/s42255-024-01067-y. [PMID: 38956322 DOI: 10.1038/s42255-024-01067-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 05/20/2024] [Indexed: 07/04/2024]
Abstract
Precision nutrition requires precise tools to monitor dietary habits. Yet current dietary assessment instruments are subjective, limiting our understanding of the causal relationships between diet and health. Biomarkers of food intake (BFIs) hold promise to increase the objectivity and accuracy of dietary assessment, enabling adjustment for compliance and misreporting. Here, we update current concepts and provide a comprehensive overview of BFIs measured in urine and blood. We rank BFIs based on a four-level utility scale to guide selection and identify combinations of BFIs that specifically reflect complex food intakes, making them applicable as dietary instruments. We discuss the main challenges in biomarker development and illustrate key solutions for the application of BFIs in human studies, highlighting different strategies for selecting and combining BFIs to support specific study designs. Finally, we present a roadmap for BFI development and implementation to leverage current knowledge and enable precision in nutrition research.
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Affiliation(s)
- Cătălina Cuparencu
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark.
| | - Tuğçe Bulmuş-Tüccar
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
- Department of Nutrition and Dietetics, Yüksek İhtisas University, Ankara, Turkey
| | - Jan Stanstrup
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | - Giorgia La Barbera
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | - Henrik M Roager
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | - Lars O Dragsted
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
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Dagbasi A, Byrne C, Blunt D, Serrano-Contreras JI, Becker GF, Blanco JM, Camuzeaux S, Chambers E, Danckert N, Edwards C, Bernal A, Garcia MV, Hanyaloglu A, Holmes E, Ma Y, Marchesi J, Martinez-Gili L, Mendoza L, Tashkova M, Perez-Moral N, Garcia-Perez I, Robles AC, Sands C, Wist J, Murphy KG, Frost G. Diet shapes the metabolite profile in the intact human ileum, which affects PYY release. Sci Transl Med 2024; 16:eadm8132. [PMID: 38896603 DOI: 10.1126/scitranslmed.adm8132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 05/24/2024] [Indexed: 06/21/2024]
Abstract
The human ileum contains a high density of enteroendocrine L-cells, which release the appetite-suppressing hormones glucagon-like peptide-1 (GLP-1) and peptide tyrosine tyrosine (PYY) in response to food intake. Recent evidence highlighted the potential role of food structures in PYY release, but the link between food structures, ileal metabolites, and appetite hormone release remains unclear owing to limited access to intact human ileum. In a randomized crossover trial (ISRCTN11327221; isrctn.com), we investigated the role of human ileum in GLP-1 and PYY release by giving healthy volunteers diets differing in fiber and food structure: high-fiber (intact or disrupted food structures) or low-fiber disrupted food structures. We used nasoenteric tubes to sample chyme from the intact distal ileum lumina of humans in the fasted state and every 60 min for 480 min postprandially. We demonstrate the highly dynamic, wide-ranging molecular environment of the ileum over time, with a substantial decrease in ileum bacterial numbers and bacterial metabolites after food intake. We also show that high-fiber diets, independent of food structure, increased PYY release compared with a low-fiber diet during 0 to 240 min postprandially. High-fiber diets also increased ileal stachyose, and a disrupted high-fiber diet increased certain ileal amino acids. Treatment of human ileal organoids with ileal fluids or an amino acid and stachyose mixture stimulated PYY expression in a similar profile to blood PYY concentrations, confirming the role of ileal metabolites in PYY release. Our study demonstrates the diet-induced changes over time in the metabolite environment of intact human ileum, which play a role in PYY release.
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Affiliation(s)
- Aygul Dagbasi
- Section of Nutrition, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, 6th Floor Commonwealth Building, Hammersmith Hospital, London W12 0NN, UK
| | - Claire Byrne
- Section of Nutrition, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, 6th Floor Commonwealth Building, Hammersmith Hospital, London W12 0NN, UK
| | - Dominic Blunt
- Department of Imaging, Charing Cross Hospital, Imperial NHS Trust, London W6 8RF, UK
| | - Jose Ivan Serrano-Contreras
- Section of Nutrition, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, 6th Floor Commonwealth Building, Hammersmith Hospital, London W12 0NN, UK
| | - Georgia Franco Becker
- Section of Nutrition, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, 6th Floor Commonwealth Building, Hammersmith Hospital, London W12 0NN, UK
| | - Jesus Miguens Blanco
- Division of Digestive Diseases, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, 6th Floor Commonwealth Building, Hammersmith Hospital, London W12 0NN, UK
| | - Stephane Camuzeaux
- National Phenome Centre, Imperial College London, Hammersmith Hospital Campus, London W12 0HS, UK
| | - Edward Chambers
- Section of Nutrition, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, 6th Floor Commonwealth Building, Hammersmith Hospital, London W12 0NN, UK
| | - Nathan Danckert
- Division of Digestive Diseases, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, 6th Floor Commonwealth Building, Hammersmith Hospital, London W12 0NN, UK
| | | | - Andres Bernal
- Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Murdoch, WA 6150, Australia
| | - Maria Valdivia Garcia
- Section of Nutrition, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, 6th Floor Commonwealth Building, Hammersmith Hospital, London W12 0NN, UK
| | - Aylin Hanyaloglu
- Institute of Reproductive and Development Biology (IRDB), Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Hammersmith Hospital, London W12 0NN, UK
| | - Elaine Holmes
- Section of Nutrition, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, 6th Floor Commonwealth Building, Hammersmith Hospital, London W12 0NN, UK
- Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Murdoch, WA 6150, Australia
| | - Yue Ma
- Section of Nutrition, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, 6th Floor Commonwealth Building, Hammersmith Hospital, London W12 0NN, UK
| | - Julian Marchesi
- Division of Digestive Diseases, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, 6th Floor Commonwealth Building, Hammersmith Hospital, London W12 0NN, UK
| | - Laura Martinez-Gili
- Division of Digestive Diseases, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, 6th Floor Commonwealth Building, Hammersmith Hospital, London W12 0NN, UK
- Section of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion, and Reproduction, Imperial College London, London W12 0NN, UK
| | - Lilian Mendoza
- Section of Nutrition, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, 6th Floor Commonwealth Building, Hammersmith Hospital, London W12 0NN, UK
| | - Martina Tashkova
- Section of Nutrition, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, 6th Floor Commonwealth Building, Hammersmith Hospital, London W12 0NN, UK
| | | | - Isabel Garcia-Perez
- Section of Nutrition, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, 6th Floor Commonwealth Building, Hammersmith Hospital, London W12 0NN, UK
| | - Andres Castillo Robles
- Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Murdoch, WA 6150, Australia
| | - Caroline Sands
- National Phenome Centre, Imperial College London, Hammersmith Hospital Campus, London W12 0HS, UK
| | - Julien Wist
- Section of Nutrition, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, 6th Floor Commonwealth Building, Hammersmith Hospital, London W12 0NN, UK
- Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Murdoch, WA 6150, Australia
- Chemistry Department, Universidad del Valle, Cali 76001, Colombia
| | - Kevin G Murphy
- Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, 6th Floor Commonwealth Building, Hammersmith Hospital, London W12 0NN, UK
| | - Gary Frost
- Section of Nutrition, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, 6th Floor Commonwealth Building, Hammersmith Hospital, London W12 0NN, UK
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Prentice RL. Intake Biomarkers for Nutrition and Health: Review and Discussion of Methodology Issues. Metabolites 2024; 14:276. [PMID: 38786753 PMCID: PMC11123464 DOI: 10.3390/metabo14050276] [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: 03/22/2024] [Revised: 04/23/2024] [Accepted: 05/08/2024] [Indexed: 05/25/2024] Open
Abstract
Metabolomics profiles from blood, urine, or other body fluids have the potential to assess intakes of foods and nutrients objectively, thereby strengthening nutritional epidemiology research. Metabolomics platforms may include targeted components that estimate the relative concentrations for individual metabolites in a predetermined set, or global components, typically involving mass spectrometry, that estimate relative concentrations more broadly. While a specific metabolite concentration usually correlates with the intake of a single food or food group, multiple metabolites may be correlated with the intake of certain foods or with specific nutrient intakes, each of which may be expressed in absolute terms or relative to total energy intake. Here, I briefly review the progress over the past 20 years on the development and application intake biomarkers for foods/food groups, nutrients, and dietary patterns, primarily by drawing from several recent reviews. In doing so, I emphasize the criteria and study designs for candidate biomarker identification, biomarker validation, and intake biomarker application. The use of intake biomarkers for diet and chronic disease association studies is still infrequent in nutritional epidemiology research. My comments here will derive primarily from our research group's recent contributions to the Women's Health Initiative cohorts. I will complete the contribution by describing some opportunities to build on the collective 20 years of effort, including opportunities related to the metabolomics profiling of blood and urine specimens from human feeding studies that approximate habitual diets.
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Affiliation(s)
- Ross L Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Department of Biostatistics, University of Washington, 1100 Fairview Avenue North, P.O. Box 19024, Seattle, WA 98109-1024, USA
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Zhang Y, Yang H, Hou S, Xia Y, Wang YQ. Influence of the brain‑gut axis on neuroinflammation in cerebral ischemia‑reperfusion injury (Review). Int J Mol Med 2024; 53:30. [PMID: 38299236 PMCID: PMC10852013 DOI: 10.3892/ijmm.2024.5354] [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: 10/23/2023] [Accepted: 01/15/2024] [Indexed: 02/02/2024] Open
Abstract
Stroke, a debilitating cerebrovascular ailment, poses significant threats to human life and health. The intricate interplay between the gut‑brain‑microbiota axis (GBMA) and cerebral ischemia‑reperfusion has increasingly become a focal point of scientific exploration, emerging as a pivotal research avenue in stroke pathophysiology. In the present review, the authors delved into the nexus between the GBMA and neuroinflammation observed post‑stroke. The analysis underscored the pivotal roles of histone deacetylase 3 and neutrophil extracellular traps subsequent to stroke incidents. The influence of gut microbial compositions and their metabolites, notably short‑chain fatty acids and trimethylamine N‑oxide, on neuroinflammatory processes, was further elucidated. The involvement of immune cells, especially regulatory T‑cells, and the intricate signaling cascades including cyclic GMP‑AMP synthase/stimulator of interferon genes/Toll‑like receptor, further emphasized the complex regulatory mechanisms of GBMA in cerebral ischemia/reperfusion injury (CI/RI). Collectively, the present review offered a comprehensive perspective on the metabolic, immune and inflammatory modulations orchestrated by GBMA, augmenting the understanding of its role in neuroinflammation following CI/RI.
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Affiliation(s)
- Yifeng Zhang
- Department of Neurology II, The Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, Shandong 261041, P.R. China
| | - Hang Yang
- Department of Emergency, The Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, Shandong 261041, P.R. China
| | - Shuai Hou
- Department of Emergency, The Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, Shandong 261041, P.R. China
| | - Yulei Xia
- Department of Neurology II, The Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, Shandong 261041, P.R. China
| | - Yan-Qiang Wang
- Department of Neurology II, The Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, Shandong 261041, P.R. China
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Alabdulkader S, Al-Alsheikh AS, Miras AD, Goldstone AP. Obesity surgery and neural correlates of human eating behaviour: A systematic review of functional MRI studies. Neuroimage Clin 2024; 41:103563. [PMID: 38237270 PMCID: PMC10828606 DOI: 10.1016/j.nicl.2024.103563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 01/03/2024] [Accepted: 01/07/2024] [Indexed: 02/03/2024]
Abstract
Changes in eating behaviour including reductions in appetite and food intake, and healthier food cue reactivity, reward, hedonics and potentially also preference, contribute to weight loss and its health benefits after obesity surgery. Functional magnetic resonance imaging (fMRI) has been increasingly used to interrogate the neural correlates of eating behaviour in obesity, including brain reward-cognitive systems, changes after obesity surgery, and links with alterations in the gut-hormone-brain axis. Neural responses to food cues can be measured by changes in blood oxygen level dependent (BOLD) signal in brain regions involved in reward processing, including caudate, putamen, nucleus accumbens, insula, amygdala, orbitofrontal cortex, and top-down inhibitory control, including dorsolateral prefrontal cortex (dlPFC). This systematic review aimed to examine: (i) results of human fMRI studies involving obesity surgery, (ii) important methodological differences in study design across studies, and (iii) correlations and associations of fMRI findings with clinical outcomes, other eating behaviour measures and mechanistic measures. Of 741 articles identified, 23 were eligible for inclusion: 16 (69.6%) longitudinal, two (8.7%) predictive, and five (21.7%) cross-sectional studies. Seventeen studies (77.3%) included patients having Roux-en-Y gastric bypass (RYGB) surgery, six (26.1%) vertical sleeve gastrectomy (VSG), and five (21.7%) laparoscopic adjustable gastric banding (LAGB). The majority of studies (86.0%) were identified as having a very low risk of bias, though only six (27.3%) were controlled interventional studies, with none including randomisation to surgical and control interventions. The remaining studies (14.0%) had a low risk of bias driven by their control groups not having an active treatment. After RYGB surgery, food cue reactivity often decreased or was unchanged in brain reward systems, and there were inconsistent findings as to whether reductions in food cue reactivity was greater for high-energy than low-energy foods. There was minimal evidence from studies of VSG and LAGB surgeries for changes in food cue reactivity in brain reward systems, though effects of VSG surgery on food cue reactivity in the dlPFC were more consistently found. There was consistent evidence for post-operative increases in satiety gut hormones glucagon-like-peptide 1 (GLP-1) and peptide YY (PYY) mediating reduced food cue reactivity after RYGB surgery, including two interventional studies. Methodological heterogeneity across studies, including nutritional state, nature of food cues, post-operative timing, lack of control groups for order effects and weight loss or dietary/psychological advice, and often small sample sizes, limited the conclusions that could be drawn, especially for correlational analyses with clinical outcomes, other eating behaviour measures and potential mediators. This systematic review provides a detailed data resource for those performing or analysing fMRI studies of obesity surgery and makes suggestions to help improve reporting and design of such studies, as well as future directions.
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Affiliation(s)
- Shahd Alabdulkader
- Department of Health Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, PO Box 84428, Riyadh 11671, Saudi Arabia; Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London W12 0NN, UK.
| | - Alhanouf S Al-Alsheikh
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London W12 0NN, UK; Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11451, Saudi Arabia.
| | - Alexander D Miras
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London W12 0NN, UK; Ulster University, School of Medicine, Faculty of Life & Health Sciences, Londonderry, Northern Ireland BT48 7JL, UK.
| | - Anthony P Goldstone
- PsychoNeuroEndocrinology Research Group, Division of Psychiatry, Department of Brain Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital, London W12 0NN, UK.
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Rowley CE, Lodge S, Egan S, Itsiopoulos C, Christophersen CT, Silva D, Kicic-Starcevich E, O’Sullivan TA, Wist J, Nicholson J, Frost G, Holmes E, D’Vaz N. Altered dietary behaviour during pregnancy impacts systemic metabolic phenotypes. Front Nutr 2023; 10:1230480. [PMID: 38111603 PMCID: PMC10725961 DOI: 10.3389/fnut.2023.1230480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 10/25/2023] [Indexed: 12/20/2023] Open
Abstract
Rationale Evidence suggests consumption of a Mediterranean diet (MD) can positively impact both maternal and offspring health, potentially mediated by a beneficial effect on inflammatory pathways. We aimed to apply metabolic profiling of serum and urine samples to assess differences between women who were stratified into high and low alignment to a MD throughout pregnancy and investigate the relationship of the diet to inflammatory markers. Methods From the ORIGINS cohort, 51 pregnant women were stratified for persistent high and low alignment to a MD, based on validated MD questionnaires. 1H Nuclear Magnetic Resonance (NMR) spectroscopy was used to investigate the urine and serum metabolite profiles of these women at 36 weeks of pregnancy. The relationship between diet, metabolite profile and inflammatory status was investigated. Results There were clear differences in both the food choice and metabolic profiles of women who self-reported concordance to a high (HMDA) and low (LMDA) Mediterranean diet, indicating that alignment with the MD was associated with a specific metabolic phenotype during pregnancy. Reduced meat intake and higher vegetable intake in the HMDA group was supported by increased levels of urinary hippurate (p = 0.044) and lower creatine (p = 0.047) levels. Serum concentrations of the NMR spectroscopic inflammatory biomarkers GlycA (p = 0.020) and GlycB (p = 0.016) were significantly lower in the HDMA group and were negatively associated with serum acetate, histidine and isoleucine (p < 0.05) suggesting a greater level of plant-based nutrients in the diet. Serum branched chain and aromatic amino acids were positively associated with the HMDA group while both urinary and serum creatine, urine creatinine and dimethylamine were positively associated with the LMDA group. Conclusion Metabolic phenotypes of pregnant women who had a high alignment with the MD were significantly different from pregnant women who had a poor alignment with the MD. The metabolite profiles aligned with reported food intake. Differences were most significant biomarkers of systemic inflammation and selected gut-microbial metabolites. This research expands our understanding of the mechanisms driving health outcomes during the perinatal period and provides additional biomarkers for investigation in pregnant women to assess potential health risks.
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Affiliation(s)
- Charlotte E. Rowley
- Australian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
| | - Samantha Lodge
- Australian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
| | - Siobhon Egan
- Australian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
| | | | - Claus T. Christophersen
- WA Human Microbiome Collaboration Centre, Curtin University, Bentley, WA, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Desiree Silva
- Telethon Kids Institute, Perth Children’s Hospital, Nedlands, WA, Australia
- Joondalup Health Campus, Joondalup, WA, Australia
| | | | - Therese A. O’Sullivan
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Julien Wist
- Australian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
- Chemistry Department, Universidad del Valle, Cali, Colombia
| | - Jeremy Nicholson
- Australian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
- Faculty of Medicine, Imperial College London, Institute of Global Health Innovation, London, United Kingdom
- Section of Nutrition Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Gary Frost
- Australian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
- Section of Nutrition Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Elaine Holmes
- Australian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
- Faculty of Medicine, Imperial College London, Institute of Global Health Innovation, London, United Kingdom
- Section of Nutrition Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Nina D’Vaz
- Telethon Kids Institute, Perth Children’s Hospital, Nedlands, WA, Australia
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Dassoff E, Shireen A, Wright A. Lipid emulsion structure, digestion behavior, physiology, and health: a scoping review and future directions. Crit Rev Food Sci Nutr 2023:1-33. [PMID: 37947287 DOI: 10.1080/10408398.2023.2273448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
Research investigating the effects of the food matrix on health is needed to untangle many unresolved questions in nutritional science. Emulsion structure plays a fundamental role in this inquiry; however, the effects of oil-in-water emulsion structure on broad metabolic, physiological, and health-related outcomes have not been comprehensively reviewed. This systematic scoping review targets this gap and examines methodological considerations for the field of relating food structure and health. MEDLINE, Web of Science, and CAB Direct were searched from inception to December 2022, returning 3106 articles, 52 of which were eligible for inclusion. Many investigated emulsion lipid droplet size and/or gastric colloidal stability and their relation to postprandial weight-loss-related outcomes. The present review also identifies numerous novel relationships between emulsion structures and health-related outcomes. "Omics" endpoints present an exciting avenue for more comprehensive analysis in this area, yet interpretation remains difficult. Identifying valid surrogate biomarkers for long-term outcomes and disease risk will be a turning point for food structure research, leading to breakthroughs in the pace and utility of research that generates advancements in health. The review's findings and recommendations aim to support new hypotheses, future trial design, and evidence-based emulsion design for improved health and well-being.
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Affiliation(s)
- Erik Dassoff
- Human Health and Nutritional Sciences, University of Guelph, Guelph, Ontario, Canada
| | - Arshia Shireen
- Human Health and Nutritional Sciences, University of Guelph, Guelph, Ontario, Canada
| | - Amanda Wright
- Human Health and Nutritional Sciences, University of Guelph, Guelph, Ontario, Canada
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10
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Franks PW, Cefalu WT, Dennis J, Florez JC, Mathieu C, Morton RW, Ridderstråle M, Sillesen HH, Stehouwer CDA. Precision medicine for cardiometabolic disease: a framework for clinical translation. Lancet Diabetes Endocrinol 2023; 11:822-835. [PMID: 37804856 DOI: 10.1016/s2213-8587(23)00165-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 06/01/2023] [Accepted: 06/01/2023] [Indexed: 10/09/2023]
Abstract
Cardiometabolic disease is a major threat to global health. Precision medicine has great potential to help to reduce the burden of this common and complex disease cluster, and to enhance contemporary evidence-based medicine. Its key pillars are diagnostics; prediction (of the primary disease); prevention (of the primary disease); prognosis (prediction of complications of the primary disease); treatment (of the primary disease or its complications); and monitoring (of risk exposure, treatment response, and disease progression or remission). To contextualise precision medicine in both research and clinical settings, and to encourage the successful translation of discovery science into clinical practice, in this Series paper we outline a model (the EPPOS model) that builds on contemporary evidence-based approaches; includes precision medicine that improves disease-related predictions by stratifying a cohort into subgroups of similar characteristics, or using participants' characteristics to model treatment outcomes directly; includes personalised medicine with the use of a person's data to objectively gauge the efficacy, safety, and tolerability of therapeutics; and subjectively tailors medical decisions to the individual's preferences, circumstances, and capabilities. Precision medicine requires a well functioning system comprised of multiple stakeholders, including health-care recipients, health-care providers, scientists, health economists, funders, innovators of medicines and technologies, regulators, and policy makers. Powerful computing infrastructures supporting appropriate analysis of large-scale, well curated, and accessible health databases that contain high-quality, multidimensional, time-series data will be required; so too will prospective cohort studies in diverse populations designed to generate novel hypotheses, and clinical trials designed to test them. Here, we carefully consider these topics and describe a framework for the integration of precision medicine in cardiometabolic disease.
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Affiliation(s)
- Paul W Franks
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark; Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmö, Sweden; Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK; Harvard T H Chan School of Public Health, Boston, MA, USA.
| | - William T Cefalu
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - John Dennis
- Institute of Biomedical and Clinical Science, Royal Devon and Exeter Hospital, University of Exeter, Exeter, UK
| | - Jose C Florez
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Chantal Mathieu
- Clinical and Experimental Endocrinology, UZ Gasthuisberg, KU Leuven, Leuven, Belgium
| | - Robert W Morton
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark
| | | | - Henrik H Sillesen
- Department of Clinical Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark
| | - Coen D A Stehouwer
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands; Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, Netherlands
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11
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Clarke ED, Ferguson JJ, Stanford J, Collins CE. Dietary Assessment and Metabolomic Methodologies in Human Feeding Studies: A Scoping Review. Adv Nutr 2023; 14:1453-1465. [PMID: 37604308 PMCID: PMC10721540 DOI: 10.1016/j.advnut.2023.08.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 05/01/2023] [Accepted: 08/16/2023] [Indexed: 08/23/2023] Open
Abstract
Dietary metabolomics is a relatively objective approach to identifying new biomarkers of dietary intake and for use alongside traditional methods. However, methods used across dietary feeding studies vary, thus making it challenging to compare results. The objective of this study was to synthesize methodological components of controlled human feeding studies designed to quantify the diet-related metabolome in biospecimens, including plasma, serum, and urine after dietary interventions. Six electronic databases were searched. Included studies were as follows: 1) conducted in healthy adults; 2) intervention studies; 3) feeding studies focusing on dietary patterns; and 4) measured the dietary metabolome. From 12,425 texts, 50 met all inclusion criteria. Interventions were primarily crossover (n = 25) and parallel randomized controlled trials (n = 22), with between 8 and 395 participants. Seventeen different dietary patterns were tested, with the most common being the "High versus Low-Glycemic Index/Load" pattern (n = 11) and "Typical Country Intake" (n = 11); with 32 providing all or the majority (90%) of food, 16 providing some food, and 2 providing no food. Metabolites were identified in urine (n = 31) and plasma/serum (n = 30). Metabolites were quantified using liquid chromatography, mass spectroscopy (n = 31) and used untargeted metabolomics (n = 37). There was extensive variability in the methods used in controlled human feeding studies examining the metabolome, including dietary patterns tested, biospecimen sample collection, and metabolomic analysis techniques. To improve the comparability and reproducibility of controlled human feeding studies examining the metabolome, it is important to provide detailed information about the dietary interventions being tested, including information about included or restricted foods, food groups, and meal plans provided. Strategies to control for individual variability, such as a crossover study design, statistical adjustment methods, dietary-controlled run-in periods, or providing standardized meals or test foods throughout the study should also be considered. The protocol for this review has been registered at Open Science Framework (https://doi.org/10.17605/OSF.IO/DAHGS).
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Affiliation(s)
- Erin D Clarke
- School of Health Sciences, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia; Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Jessica Ja Ferguson
- School of Health Sciences, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia; Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Jordan Stanford
- School of Health Sciences, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia; Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Clare E Collins
- School of Health Sciences, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia; Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.
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12
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Ma M, Pan XF, Pan A, Jiang L. Effects of Sample Dilution on Nuclear Magnetic Resonance-Derived Metabolic Profiles of Human Urine. Anal Chem 2023; 95:13769-13778. [PMID: 37681715 DOI: 10.1021/acs.analchem.3c00029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/09/2023]
Abstract
Traditionally, a relatively big urine volume (e.g., 500 μL) is used in nuclear magnetic resonance (NMR)-based human metabolomics, which is not feasible for studies with limited/precious samples. Although urine may be diluted before conventional high-throughput metabolomics analysis, the comprehensive effect of urine dilution on metabolic profiles is unknown. Here, for the first time, we systematically investigated the effect of urine dilution on 1H NMR metabolic profiles, by evaluating signal detectability, integration, signal-to-noise ratio (SNR), chemical shift (δ) and its variation, and signal overlapping of 47 metabolites in 10 volunteers. We observed significant linear changes along with increased dilution, including decreased integration and SNR, altered δ, decreased intersample variation of δ, and increased separation between overlapped signals, e.g., lactate and threonine, β-d-glucose and an unassigned signal, and histidine and 3-methylhistidine. We further tested the 40% dilution level (i.e., employing 300 μL urine) in an epidemiological study containing 1018 pregnant women from the Tongji-Shuangliu Birth Cohort, showing acceptable detectability and chemical shift variability for most of the 47 metabolites profiled. It indicated that mild (e.g., 40%) dilution of human urine can largely preserve the high-abundance metabolites profiled, reduce intersample chemical shift variations, and increase separations of overlapped signals, which is an improvement of routine sample preparation methods in NMR-based metabolomics and is applicable for studies with limited urine volumes, including large-scale epidemiological studies.
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Affiliation(s)
- Mengnan Ma
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China
| | - Xiong-Fei Pan
- Section of Epidemiology and Population Health, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital & West China Biomedical Big Data Center, West China Hospital, Sichuan University; Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu, Sichuan 610041, China
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China
| | - Limiao Jiang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China
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13
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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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14
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Rundle M, Fiamoncini J, Thomas EL, Wopereis S, Afman LA, Brennan L, Drevon CA, Gundersen TE, Daniel H, Perez IG, Posma JM, Ivanova DG, Bell JD, van Ommen B, Frost G. Diet-induced Weight Loss and Phenotypic Flexibility Among Healthy Overweight Adults: A Randomized Trial. Am J Clin Nutr 2023; 118:591-604. [PMID: 37661105 PMCID: PMC10517213 DOI: 10.1016/j.ajcnut.2023.07.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 06/28/2023] [Accepted: 07/03/2023] [Indexed: 09/05/2023] Open
Abstract
BACKGROUND The capacity of an individual to respond to changes in food intake so that postprandial metabolic perturbations are resolved, and metabolism returns to its pre-prandial state, is called phenotypic flexibility. This ability may be a more important indicator of current health status than metabolic markers in a fasting state. AIM In this parallel randomized controlled trial study, an energy-restricted healthy diet and 2 dietary challenges were used to assess the effect of weight loss on phenotypic flexibility. METHODS Seventy-two volunteers with overweight and obesity underwent a 12-wk dietary intervention. The participants were randomized to a weight loss group (WLG) with 20% less energy intake or a weight-maintenance group (WMG). At weeks 1 and 12, participants were assessed for body composition by MRI. Concurrently, markers of metabolism and insulin sensitivity were obtained from the analysis of plasma metabolome during 2 different dietary challenges-an oral glucose tolerance test (OGTT) and a mixed-meal tolerance test. RESULTS Intended weight loss was achieved in the WLG (-5.6 kg, P < 0.0001) and induced a significant reduction in total and regional adipose tissue as well as ectopic fat in the liver. Amino acid-based markers of insulin action and resistance such as leucine and glutamate were reduced in the postprandial phase of the OGTT in the WLG by 11.5% and 28%, respectively, after body weight reduction. Weight loss correlated with the magnitude of changes in metabolic responses to dietary challenges. Large interindividual variation in metabolic responses to weight loss was observed. CONCLUSION Application of dietary challenges increased sensitivity to detect metabolic response to weight loss intervention. Large interindividual variation was observed across a wide range of measurements allowing the identification of distinct responses to the weight loss intervention and mechanistic insight into the metabolic response to weight loss.
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Affiliation(s)
- Milena Rundle
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Jarlei Fiamoncini
- Food Research Center, Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil
| | - E Louise Thomas
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom
| | - Suzan Wopereis
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research, Hague, The Netherlands
| | - Lydia A Afman
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Lorraine Brennan
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin, Ireland
| | - Christian A Drevon
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway; Vitas Ltd, Oslo Science Park, Oslo, Norway
| | | | - Hannelore Daniel
- Hannelore Daniel, Molecular Nutrition Unit, Technische Universität München, München, Germany
| | - Isabel Garcia Perez
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Joram M Posma
- Section of Bioinformatics, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Diana G Ivanova
- Department of Biochemistry, Molecular Medicine and Nutrigenomics, Faculty of Pharmacy, Medical University, Varna, Bulgaria
| | - Jimmy D Bell
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom
| | - Ben van Ommen
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research, Hague, The Netherlands
| | - Gary Frost
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom.
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15
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Brennan L, de Roos B. Role of metabolomics in the delivery of precision nutrition. Redox Biol 2023; 65:102808. [PMID: 37423161 PMCID: PMC10461186 DOI: 10.1016/j.redox.2023.102808] [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: 03/03/2023] [Revised: 06/14/2023] [Accepted: 07/04/2023] [Indexed: 07/11/2023] Open
Abstract
Precision nutrition aims to deliver personalised dietary advice to individuals based on their personal genetics, metabolism and dietary/environmental exposures. Recent advances have demonstrated promise for the use of omic technologies for furthering the field of precision nutrition. Metabolomics in particular is highly attractive as measurement of metabolites can capture information on food intake, levels of bioactive compounds and the impact of diets on endogenous metabolism. These aspects contain useful information for precision nutrition. Furthermore using metabolomic profiles to identify subgroups or metabotypes is attractive for the delivery of personalised dietary advice. Combining metabolomic derived metabolites with other parameters in prediction models is also an exciting avenue for understanding and predicting response to dietary interventions. Examples include but not limited to role of one carbon metabolism and associated co-factors in blood pressure response. Overall, while evidence exists for potential in this field there are also many unanswered questions. Addressing these and clearly demonstrating that precision nutrition approaches enable adherence to healthier diets and improvements in health will be key in the near future.
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Affiliation(s)
- Lorraine Brennan
- Institute of Food and Health and Conway Institute, UCD School of Agriculture and Food Science, UCD, Belfield, Dublin 4, Ireland.
| | - Baukje de Roos
- The Rowett Institute, University of Aberdeen, Foresterhill, Aberdeen, AB25 2ZD, United Kingdom
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16
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Walsh LH, Walsh AM, Garcia-Perez I, Crispie F, Costabile A, Ellis R, Finlayson J, Finnegan LA, Claesson MJ, Holmes E, Cotter PD. Comparison of the relative impacts of acute consumption of an inulin-enriched diet, milk kefir or a commercial probiotic product on the human gut microbiome and metabolome. NPJ Sci Food 2023; 7:41. [PMID: 37587110 PMCID: PMC10432396 DOI: 10.1038/s41538-023-00216-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 07/17/2023] [Indexed: 08/18/2023] Open
Abstract
It has been established that the human gut microbiota is central to health, and, consequently, there has been a growing desire to positively modulate its composition and/or function through, for example, the use of fermented foods, prebiotics or probiotics. Here, we compare the relative impact of the daily consumption of an inulin-enriched diet (n = 10), a commercial probiotic-containing fermented milk product (FMP) (n = 10), or a traditional kefir FMP (n = 9), over a 28-day period on the gut microbiome and urine metabolome of healthy human adults. None of the treatments resulted in significant changes to clinical parameters or biomarkers tested. However, shotgun metagenomic analysis revealed that kefir consumption resulted in a significant change in taxonomy, in the form of an increased abundance of the sub-dominant FMP-associated species Lactococcus raffinolactis, which further corresponded to shifts in the urine metabolome. Overall, our results indicated that daily consumption of a single portion of kefir alone resulted in detectable changes to the gut microbiota and metabolome of consumers.
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Affiliation(s)
- Liam H Walsh
- Teagasc Food Research Centre, Moorepark, Fermoy, Co, Cork, Ireland
- School of Microbiology Department, University College Cork, Co, Cork, Ireland
| | - Aaron M Walsh
- Teagasc Food Research Centre, Moorepark, Fermoy, Co, Cork, Ireland
- School of Microbiology Department, University College Cork, Co, Cork, Ireland
- APC Microbiome Ireland, University College Cork, Co, Cork, Ireland
| | - Isabel Garcia-Perez
- Section of Biomolecular Medicine, Division of Computational Systems Medicine, Imperial College London, London, UK
| | - Fiona Crispie
- Teagasc Food Research Centre, Moorepark, Fermoy, Co, Cork, Ireland
- APC Microbiome Ireland, University College Cork, Co, Cork, Ireland
| | - Adele Costabile
- School of Life and Health Sciences, University of Roehampton London, London, UK
| | - Richard Ellis
- Surveillance and Laboratory Services Department, APHA, Addlestone, UK
| | - Jim Finlayson
- NHS Highland, Highland Clinical Research Facility, University of the Highlands & Islands, Centre for Health Science, Inverness, UK
| | - Laura A Finnegan
- Teagasc Food Research Centre, Moorepark, Fermoy, Co, Cork, Ireland
- APC Microbiome Ireland, University College Cork, Co, Cork, Ireland
| | - Marcus J Claesson
- School of Microbiology Department, University College Cork, Co, Cork, Ireland
- APC Microbiome Ireland, University College Cork, Co, Cork, Ireland
| | - Elaine Holmes
- Section of Biomolecular Medicine, Division of Computational Systems Medicine, Imperial College London, London, UK
| | - Paul D Cotter
- Teagasc Food Research Centre, Moorepark, Fermoy, Co, Cork, Ireland.
- School of Microbiology Department, University College Cork, Co, Cork, Ireland.
- VistaMilk SFI Research Centre, Teagasc, Moorepark, Fermoy, Co, Cork, Ireland.
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17
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Ferguson JJA, Clarke E, Stanford J, Burrows T, Wood L, Collins C. Dietary metabolome profiles of a Healthy Australian Diet and a Typical Australian Diet: protocol for a randomised cross-over feeding study in Australian adults. BMJ Open 2023; 13:e073658. [PMID: 37524561 PMCID: PMC10391791 DOI: 10.1136/bmjopen-2023-073658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/02/2023] Open
Abstract
INTRODUCTION Traditional dietary assessment methods such as 24-hour recalls and food frequency questionnaires rely on self-reported data and are prone to error, bias and inaccuracy. Identification of dietary metabolites associated with different dietary patterns can provide objective markers of whole diet patterns that account for metabolism and individual responses to dietary interventions. Additionally, few studies have investigated country-specific healthy and unhealthy dietary patterns using metabolomics. Therefore, the current study aims to identify urinary and plasma metabolites that characterise a 'healthy' (aligned with current national dietary guidelines) and an 'unhealthy' dietary pattern (Typical Australian Diet) in Australian adults. METHODS AND ANALYSIS The Diet Quality Feeding Study (DQFS) is an 8-week cross-over feeding study that will recruit 40 healthy adults from the Hunter region (NSW, Australia). Data collected includes biospecimens (whole blood, urine, stool) for quantification of dietary metabolite biomarkers; questionnaires (medical history/demographic, physical activity, quality of life); physical measures (anthropometry, body composition, waist circumference, blood pressure, arterial pressure); skin carotenoids and dietary intake (24-hour recalls, food frequency questionnaire). Participants will attend the research facility every 2 weeks (end of the run-in, each diet intervention and washout period) for collection of physical measures. All food will be provided to participants for each dietary intervention period, and participants will return to their usual diet during the run-in and washout periods. Targeted and untargeted metabolomics using liquid chromatography-mass spectrometry and/or proton nuclear magnetic resonance (1H-NMR) spectroscopy will be used to identify metabolites in biospecimens associated with dietary intake. ETHICS AND DISSEMINATION This study is approved by the Hunter New England Human Research Ethics Committee (HNEHREC; 2022/ETH01649) and the University of Newcastle's Human Research Ethics Committee (HREC; H-2022-0330). Findings will be disseminated to study participants, funding bodies supporting the DQFS, peer-review publications and presented at scientific conferences within the field of research. TRIAL REGISTRATION NUMBER Australian New Zealand Clinical Trials Registry (ACTRN12622001321730).
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Affiliation(s)
- Jessica Jayne Anne Ferguson
- School of Health Sciences, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Erin Clarke
- School of Health Sciences, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Jordan Stanford
- School of Health Sciences, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Tracy Burrows
- School of Health Sciences, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Lisa Wood
- School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Immune Health Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Clare Collins
- School of Health Sciences, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
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18
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Oliveira NCD, Balikian Júnior P, Júnior ATDC, Bento EDS, Tonholo J, Aquino T, Sousa FADB, Araujo GGD, Ferreira ML. Environmental Planning and Non-Communicable Diseases: A Systematic Review on the Role of the Metabolomic Profile. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6433. [PMID: 37510665 PMCID: PMC10380082 DOI: 10.3390/ijerph20146433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 07/17/2023] [Accepted: 07/21/2023] [Indexed: 07/30/2023]
Abstract
Non-communicable diseases (NCDs) are the major cause of death worldwide and have economic, psychological, and social impacts. Air pollution is the second, contributing to NCDs-related deaths. Metabolomics are a useful diagnostic and prognostic tool for NCDs, as they allow the identification of biomarkers linked to emerging pathologic processes. The aim of the present study was to review the scientific literature on the application of metabolomics profiling in NCDs and to discuss environmental planning actions to assist healthcare systems and public managers based on early metabolic diagnosis. The search was conducted following PRISMA guidelines using Web of Science, Scopus, and PubMed databases with the following MeSH terms: "metabolomics" AND "noncommunicable diseases" AND "air pollution". Twenty-nine studies were eligible. Eleven involved NCDs prevention, eight addressed diabetes mellitus, insulin resistance, systemic arterial hypertension, or metabolic syndrome. Six studies focused on obesity, two evaluated nonalcoholic fatty liver disease, two studied cancer, and none addressed chronic respiratory diseases. The studies provided insights into the biological pathways associated with NCDs. Understanding the cost of delivering care where there will be a critical increase in NCDs prevalence is crucial to achieving universal health coverage and improving population health by allocating environmental planning and treatment resources.
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Affiliation(s)
| | - Pedro Balikian Júnior
- Institute of Physical Education and Sport (IEFE), Federal University of Alagoas, Campus AC Simões, Maceió 57072-900, AL, Brazil
| | - Arnaldo Tenório da Cunha Júnior
- Kineanthropometry, Physical Activity and Health Promotion Laboratory (LACAPS), Physical Education Department, Federal University of Alagoas, Campus Arapiraca, Arapiraca 57309-005, AL, Brazil
| | - Edson de Souza Bento
- Institute of Chemistry and Biotechnology (IQB), Federal University of Alagoas, Campus AC Simões, Maceió 57072-900, AL, Brazil
| | - Josealdo Tonholo
- Institute of Chemistry and Biotechnology (IQB), Federal University of Alagoas, Campus AC Simões, Maceió 57072-900, AL, Brazil
| | - Thiago Aquino
- Institute of Chemistry and Biotechnology (IQB), Federal University of Alagoas, Campus AC Simões, Maceió 57072-900, AL, Brazil
| | - Filipe Antonio de Barros Sousa
- Institute of Physical Education and Sport (IEFE), Federal University of Alagoas, Campus AC Simões, Maceió 57072-900, AL, Brazil
| | - Gustavo Gomes de Araujo
- Institute of Physical Education and Sport (IEFE), Federal University of Alagoas, Campus AC Simões, Maceió 57072-900, AL, Brazil
| | - Maurício Lamano Ferreira
- Department of Geoenvironmental Analysis, Guarulhos University, Central Campus, Guarulhos 07023-070, SP, Brazil
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Ma Y, Chu M, Fu Z, Liu Q, Liang J, Xu J, Weng Z, Chen X, Xu C, Gu A. The Association of Metabolomic Profiles of a Healthy Lifestyle with Heart Failure Risk in a Prospective Study. Nutrients 2023; 15:2934. [PMID: 37447260 PMCID: PMC10346862 DOI: 10.3390/nu15132934] [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: 05/30/2023] [Revised: 06/26/2023] [Accepted: 06/27/2023] [Indexed: 07/15/2023] Open
Abstract
Lifestyle has been linked to the incidence of heart failure, but the underlying biological mechanisms remain unclear. Using the metabolomic, lifestyle, and heart failure data of the UK Biobank, we identified and validated healthy lifestyle-related metabolites in a matched case-control and cohort study, respectively. We then evaluated the association of healthy lifestyle-related metabolites with heart failure (HF) risk and the added predictivity of these healthy lifestyle-associated metabolites for HF. Of 161 metabolites, 8 were identified to be significantly related to healthy lifestyle. Notably, omega-3 fatty acids and docosahexaenoic acid (DHA) positively associated with a healthy lifestyle score (HLS) and exhibited a negative association with heart failure risk. Conversely, creatinine negatively associated with a HLS, but was positively correlated with the risk of HF. Adding these three metabolites to the classical risk factor prediction model, the prediction accuracy of heart failure incidence can be improved as assessed by the C-statistic (increasing from 0.806 [95% CI, 0.796-0.816] to 0.844 [95% CI, 0.834-0.854], p-value < 0.001). A healthy lifestyle is associated with significant metabolic alterations, among which metabolites related to healthy lifestyle may be critical for the relationship between healthy lifestyle and HF. Healthy lifestyle-related metabolites might enhance HF prediction, but additional validation studies are necessary.
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Affiliation(s)
- Yuanyuan Ma
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - Maomao Chu
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Zuqiang Fu
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, China
- School of Public Health, Southeast University, Nanjing 211189, China
| | - Qian Liu
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - Jingjia Liang
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - Jin Xu
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, China
- Department of Maternal, Child, and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Zhenkun Weng
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - Xiu Chen
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - Cheng Xu
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - Aihua Gu
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
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20
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Pepe RB, Lottenberg AM, Fujiwara CTH, Beyruti M, Cintra DE, Machado RM, Rodrigues A, Jensen NSO, Caldas APS, Fernandes AE, Rossoni C, Mattos F, Motarelli JHF, Bressan J, Saldanha J, Beda LMM, Lavrador MSF, Del Bosco M, Cruz P, Correia PE, Maximino P, Pereira S, Faria SL, Piovacari SMF. Position statement on nutrition therapy for overweight and obesity: nutrition department of the Brazilian association for the study of obesity and metabolic syndrome (ABESO-2022). Diabetol Metab Syndr 2023; 15:124. [PMID: 37296485 DOI: 10.1186/s13098-023-01037-6] [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] [Received: 06/29/2022] [Accepted: 03/23/2023] [Indexed: 06/12/2023] Open
Abstract
Obesity is a chronic disease resulting from multifactorial causes mainly related to lifestyle (sedentary lifestyle, inadequate eating habits) and to other conditions such as genetic, hereditary, psychological, cultural, and ethnic factors. The weight loss process is slow and complex, and involves lifestyle changes with an emphasis on nutritional therapy, physical activity practice, psychological interventions, and pharmacological or surgical treatment. Because the management of obesity is a long-term process, it is essential that the nutritional treatment contributes to the maintenance of the individual's global health. The main diet-related causes associated with excess weight are the high consumption of ultraprocessed foods, which are high in fats, sugars, and have high energy density; increased portion sizes; and low intake of fruits, vegetables, and grains. In addition, some situations negatively interfere with the weight loss process, such as fad diets that involve the belief in superfoods, the use of teas and phytotherapics, or even the avoidance of certain food groups, as has currently been the case for foods that are sources of carbohydrates. Individuals with obesity are often exposed to fad diets and, on a recurring basis, adhere to proposals with promises of quick solutions, which are not supported by the scientific literature. The adoption of a dietary pattern combining foods such as grains, lean meats, low-fat dairy, fruits, and vegetables, associated with an energy deficit, is the nutritional treatment recommended by the main international guidelines. Moreover, an emphasis on behavioral aspects including motivational interviewing and the encouragement for the individual to develop skills will contribute to achieve and maintain a healthy weight. Therefore, this Position Statement was prepared based on the analysis of the main randomized controlled studies and meta-analyses that tested different nutrition interventions for weight loss. Topics in the frontier of knowledge such as gut microbiota, inflammation, and nutritional genomics, as well as the processes involved in weight regain, were included in this document. This Position Statement was prepared by the Nutrition Department of the Brazilian Association for the Study of Obesity and Metabolic Syndrome (ABESO), with the collaboration of dietitians from research and clinical fields with an emphasis on strategies for weight loss.
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Affiliation(s)
- Renata Bressan Pepe
- Grupo de Obesidade e Sindrome Metabolica, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, SP, Brazil
| | - Ana Maria Lottenberg
- Laboratório de Lipides (LIM10), Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil.
- Nutrition Department of the Brazilian Association for the Study of Obesity and Metabolic Syndrome (ABESO), Rua Mato Grosso 306 - cj 1711, Sao Paulo, SP, 01239-040, Brazil.
| | - Clarissa Tamie Hiwatashi Fujiwara
- Grupo de Obesidade e Sindrome Metabolica, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, SP, Brazil
| | - Mônica Beyruti
- Brazilian Association for the Study of Obesity and Metabolic Syndrome (ABESO), São Paulo, SP, Brazil
| | - Dennys Esper Cintra
- Centro de Estudos em Lipídios e Nutrigenômica - CELN - University of Campinas, Campinas, SP, Brazil
| | - Roberta Marcondes Machado
- Liga Acadêmica de Controle de Diabetes do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil
| | - Alessandra Rodrigues
- Brazilian Association for the Study of Obesity and Metabolic Syndrome (ABESO), São Paulo, SP, Brazil
| | - Natália Sanchez Oliveira Jensen
- Liga Acadêmica de Controle de Diabetes do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil
| | | | - Ariana Ester Fernandes
- Grupo de Obesidade e Sindrome Metabolica, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, SP, Brazil
| | - Carina Rossoni
- Instituto de Saúde Ambiental, Faculdade de Medicina da Universidade de Lisboa, Lisbon, Portugal
| | - Fernanda Mattos
- Programa de Obesidade e Cirurgia Bariátrica do Hospital Universitário Clementino Fraga Filho da UFRJ, Rio de Janeiro, RJ, Brazil
| | - João Henrique Fabiano Motarelli
- Núcleo de Estudos e Extensão em Comportamento Alimentar e Obesidade (NEPOCA) da Universidade de São Paulo - FMRP/USP, Ribeirão Preto, Brazil
| | - Josefina Bressan
- Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, MG, Brazil
| | | | - Lis Mie Masuzawa Beda
- Brazilian Association for the Study of Obesity and Metabolic Syndrome (ABESO), São Paulo, SP, Brazil
| | - Maria Sílvia Ferrari Lavrador
- Liga Acadêmica de Controle de Diabetes do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil
| | - Mariana Del Bosco
- Brazilian Association for the Study of Obesity and Metabolic Syndrome (ABESO), São Paulo, SP, Brazil
| | - Patrícia Cruz
- Grupo de Obesidade e Sindrome Metabolica, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, SP, Brazil
| | | | - Priscila Maximino
- Instituto PENSI - Fundação José Luiz Egydio Setúbal, Instituto Pensi, Fundação José Luiz Egydio Setúbal, Hospital Infantil Sabará, São Paulo, SP, Brazil
| | - Silvia Pereira
- Núcleo de Saúde Alimentar da Sociedade Brasileira de Cirurgia Bariátrica e Metabólica, São Paulo, Brazil
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Leyrolle Q, Prado-Perez L, Layé S. The gut-derived metabolites as mediators of the effect of healthy nutrition on the brain. Front Nutr 2023; 10:1155533. [PMID: 37360297 PMCID: PMC10289296 DOI: 10.3389/fnut.2023.1155533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 05/10/2023] [Indexed: 06/28/2023] Open
Abstract
Nutrition is now well recognized to be an environmental factor which positively or negatively influences the risk to develop neurological and psychiatric disorders. The gut microbiota has recently been shown to be an important actor mediating the relationship between environmental factors, including nutrition, and brain function. While its composition has been widely studied and associated with the risk of brain diseases, the mechanisms underlying the relationship between the gut and brain diseases remain to be explored. The wide range of bioactive molecules produced by the gut microbiota, called gut-derived metabolites (GDM), represent new players in the gut to brain interactions and become interesting target to promote brain health. The aim of this narrative review is to highlight some GDMs of interest that are produced in response to healthy food consumption and to summarize what is known about their potential effects on brain function. Overall, GDMs represent future useful biomarkers for the development of personalized nutrition. Indeed, their quantification after nutritional interventions is a useful tool to determine individuals' ability to produce microbiota-derived bioactive compounds upon consumption of specific food or nutrients. Moreover, GDMs represent also a new therapeutic approach to counteract the lack of response to conventional nutritional interventions.
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22
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Chowdhury CR, Kavitake D, Jaiswal KK, Jaiswal KS, Reddy GB, Agarwal V, Shetty PH. NMR-based metabolomics as a significant tool for human nutritional research and health applications. FOOD BIOSCI 2023. [DOI: 10.1016/j.fbio.2023.102538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
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23
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Malcomson FC, Mathers JC. Translation of nutrigenomic research for personalised and precision nutrition for cancer prevention and for cancer survivors. Redox Biol 2023; 62:102710. [PMID: 37105011 PMCID: PMC10165138 DOI: 10.1016/j.redox.2023.102710] [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: 02/05/2023] [Revised: 03/29/2023] [Accepted: 04/21/2023] [Indexed: 04/29/2023] Open
Abstract
Personalised and precision nutrition uses information on individual characteristics and responses to nutrients, foods and dietary patterns to develop targeted nutritional advice that is more effective in improving the diet and health of each individual. Moving away from the conventional 'one size fits all', such targeted intervention approaches may pave the way to better population health, including lower burden of non-communicable diseases. To date, most personalised and precision nutrition approaches have been focussed on tackling obesity and cardiometabolic diseases with limited efforts directed to cancer prevention and for cancer survivors. Advances in understanding the biological basis of cancer and of the role played by diet in cancer prevention and in survival after cancer diagnosis, mean that it is timely to test and to apply such personalised and precision nutrition approaches in the cancer area. This endeavour can take advantage of the enhanced understanding of interactions between dietary factors, individual genotype and the gut microbiome that impact on risk of, and survival after, cancer diagnosis. Translation of these basic research into public health action should include real-time acquisition of nutrigenomic and related data and use of AI-based data integration methods in systems approaches that can be scaled up using mobile devices.
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Affiliation(s)
- F C Malcomson
- Human Nutrition and Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - J C Mathers
- Human Nutrition and Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK.
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24
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Asfaw MS, Dagne WK. Physical activity can improve diabetes patients' glucose control; A systematic review and meta-analysis. Heliyon 2022; 8:e12267. [PMID: 36578408 PMCID: PMC9791347 DOI: 10.1016/j.heliyon.2022.e12267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 10/30/2022] [Accepted: 12/02/2022] [Indexed: 12/15/2022] Open
Abstract
Background Glycemic control is vital to patient care, and it is still the most important treatment goal for reducing organ damage and other complications associated with diabetes. Physical activity is one of the factors that affects glycemic management. Therefore, the aim of this systematic review and meta-analysis was to find, evaluate, and synthesize the best available information on the link between physical exercise and glycemic control in Ethiopian diabetes patients. Methods Pubmed, Science Direct, Google Scholar and African Journals Online were the databases searched. In addition, gray literature were explored. All papers chosen for inclusion in the review underwent a thorough critical appraisal utilizing the Joanna Briggs Institute's standardized critical appraisal instruments (JBI critical appraisal checklist-2017). For statistical analysis and descriptive synthesis, quantitative articles were combined. The Odds ratio and their 95% confidence intervals were generated. Papers that were of excellent quality but lacked the main outcome (physical activity) for meta-analysis were subjected to descriptive synthesis. Results The finding of this meta-analysis showed diabetes patients who were physically active had controlled their blood glucose levels by 2.4 times compared to their counter (Odds ratio = 2.40, 95% Confidence Interval = 1.57,3.69). The duration of disease was found to be the most commonly reported predictor for poor glycemic control followed by dietary habits, patients' sex and age. Conclusion Physical activity, which is a simple and inexpensive therapy for diabetes patients, can help them control their blood glucose levels. Patients with diabetes who have had it for a long time should be aware of the need of regular physical activity in maintaining blood glucose control.
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Affiliation(s)
- Mulu Shiferaw Asfaw
- Biomedical Unit, School of Medicine, College of Health Sciences, Woldia University, Woldia, Ethiopia
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25
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Associations Between the Gut Microbiota, Urinary Metabolites, and Diet in Women During the Third Trimester of Pregnancy. Curr Dev Nutr 2022. [DOI: 10.1016/j.cdnut.2022.100025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
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Karampatsas K, Faal A, Jaiteh M, Garcia-Perez I, Aller S, Shaw AG, Kopytek A, Witney AA, Le Doare K. Gastrointestinal, vaginal, nasopharyngeal, and breast milk microbiota profiles and breast milk metabolomic changes in Gambian infants over the first two months of lactation: A prospective cohort study. Medicine (Baltimore) 2022; 101:e31419. [PMID: 36401392 PMCID: PMC9678627 DOI: 10.1097/md.0000000000031419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Microbiota composition in breast milk affects intestinal and respiratory microbiota colonization and the mucosal immune system's development in infants. The metabolomic content of breast milk is thought to interact with the microbiota and may influence developing infant immunity. One hundred seven Gambian mothers and their healthy, vaginally delivered, exclusively breastfed infants were included in our study. We analyzed 32 breast milk samples, 51 maternal rectovaginal swabs and 30 infants' rectal swabs at birth. We also analyzed 9 breast milk samples and 18 infants' nasopharyngeal swabs 60 days post-delivery. We used 16S rRNA gene sequencing to determine the microbiota composition. Metabolomic profiling analysis was performed on colostrum and mature breast milk samples using a multiplatform approach combining 1-H Nuclear Magnetic Resonance Spectroscopy and Gas Chromatography-Mass Spectrometry. Bacterial communities were distinct in composition and diversity across different sample types. Breast milk composition changed over the first 60 days of lactation. α-1,4- and α-1,3-fucosylated human milk oligosaccharides, and other 33 key metabolites in breast milk (monosaccharides, sugar alcohols and fatty acids) increased between birth and day 60 of life. This study's results indicate that infant gut and respiratory microbiota are unique bacterial communities, distinct from maternal gut and breast milk, respectively. Breast milk microbiota composition and metabolomic profile change throughout lactation. These changes may contribute to the infant's immunological, metabolic, and neurological development and could consist the basis for future interventions to correct disrupted early life microbial colonization.
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Affiliation(s)
- Konstantinos Karampatsas
- Centre for Neonatal and Paediatric Infection, St George’s, University of London, London, UK
- * Correspondence: Konstantinos Karampatsas, Institute for Infection and Immunity, St George’s, University of London, Jenner Wing, Level 2, SW17 0RE London, UK (e-mail: )
| | - Amadou Faal
- Medical Research Council The Gambia at London School of Hygiene and Tropical Medicine, Fajara, The Gambia
| | - Mustapha Jaiteh
- Medical Research Council The Gambia at London School of Hygiene and Tropical Medicine, Fajara, The Gambia
| | - Isabel Garcia-Perez
- Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Sean Aller
- Centre for Neonatal and Paediatric Infection, St George’s, University of London, London, UK
| | - Alexander G. Shaw
- Department of Infectious Disease Epidemiology, Imperial College London, London, UK
| | - Aleksandra Kopytek
- Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Adam A. Witney
- Centre for Neonatal and Paediatric Infection, St George’s, University of London, London, UK
| | - Kirsty Le Doare
- Centre for Neonatal and Paediatric Infection, St George’s, University of London, London, UK
- Medical Research Council The Gambia at London School of Hygiene and Tropical Medicine, Fajara, The Gambia
- Medical Research Council Uganda, Virus Research Institute, Uganda
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Handakas E, Chang K, Khandpur N, Vamos EP, Millett C, Sassi F, Vineis P, Robinson O. Metabolic profiles of ultra-processed food consumption and their role in obesity risk in British children. Clin Nutr 2022; 41:2537-2548. [PMID: 36223715 DOI: 10.1016/j.clnu.2022.09.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 08/11/2022] [Accepted: 09/05/2022] [Indexed: 12/27/2022]
Abstract
BACKGROUND & AIMS Higher consumption of ultra-processed foods (UPF) has been associated with childhood obesity, but underlying mechanisms remain unclear. We investigated plasma nuclear magnetic resonance metabolic profiles of higher UPF consumption and their role in obesity risk in the British ALSPAC cohort. METHODS We performed cross-sectional and prospective metabolome wide association analyses of UPF, calculated from food diaries using the NOVA classification. In cross-sectional analysis, we tested the association between UPF consumption and metabolic profile at 7 years (N = 4528), and in the prospective analysis we tested the association between UPF consumption at 13 years and metabolic profile at 17 years (N = 3086). Effects of UPF-associated metabolites at 7 years on subsequent fat mass accumulation were assessed using growth curve models. RESULTS At 7 years, UPF was associated with 115 metabolic traits including lower levels of branched-chain and aromatic amino acids and higher levels of citrate, glutamine, and monounsaturated fatty acids, which were also associated with greater fat mass accumulation. Reported intake of nutrients mediated associations with most metabolites, except for citrate. CONCLUSIONS UPF consumption among British children is associated with perturbation of multiple metabolic traits, many of which contribute to child obesity risk.
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Affiliation(s)
- Evangelos Handakas
- Μedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, United Kingdom
| | - Kiara Chang
- Public Health Policy Evaluation Unit, Imperial College London, London W6 8RP, United Kingdom
| | - Neha Khandpur
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo 01246-904, Brazil; Center for Epidemiological Research in Nutrition and Health, School of Public Health, University of São Paulo, São Paulo 01246-904, Brazil; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, U. S. A
| | - Eszter P Vamos
- Public Health Policy Evaluation Unit, Imperial College London, London W6 8RP, United Kingdom
| | - Christopher Millett
- Public Health Policy Evaluation Unit, Imperial College London, London W6 8RP, United Kingdom; Comprehensive Health Research Center and Public Health Research Centre, National School of Public Health, NOVA University Lisbon, Portugal
| | - Franco Sassi
- Centre for Health Economics & Policy Innovation, Department of Economics & Public Policy, Imperial College Business School, South Kensington Campus, London, United Kingdom
| | - Paolo Vineis
- Μedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, United Kingdom
| | - Oliver Robinson
- Μedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, United Kingdom; Mohn Centre for Children's Health and Well-being, School of Public Health, Imperial College London, United Kingdom.
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28
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Multi-omic phenotyping reveals host-microbe responses to bariatric surgery, glycaemic control and obesity. COMMUNICATIONS MEDICINE 2022; 2:127. [PMID: 36217535 PMCID: PMC9546886 DOI: 10.1038/s43856-022-00185-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 09/12/2022] [Indexed: 11/05/2022] Open
Abstract
Background Resolution of type 2 diabetes (T2D) is common following bariatric surgery, particularly Roux-en-Y gastric bypass. However, the underlying mechanisms have not been fully elucidated. Methods To address this we compare the integrated serum, urine and faecal metabolic profiles of participants with obesity ± T2D (n = 80, T2D = 42) with participants who underwent Roux-en-Y gastric bypass or sleeve gastrectomy (pre and 3-months post-surgery; n = 27), taking diet into account. We co-model these data with shotgun metagenomic profiles of the gut microbiota to provide a comprehensive atlas of host-gut microbe responses to bariatric surgery, weight-loss and glycaemic control at the systems level. Results Here we show that bariatric surgery reverses several disrupted pathways characteristic of T2D. The differential metabolite set representative of bariatric surgery overlaps with both diabetes (19.3% commonality) and body mass index (18.6% commonality). However, the percentage overlap between diabetes and body mass index is minimal (4.0% commonality), consistent with weight-independent mechanisms of T2D resolution. The gut microbiota is more strongly correlated to body mass index than T2D, although we identify some pathways such as amino acid metabolism that correlate with changes to the gut microbiota and which influence glycaemic control. Conclusion We identify multi-omic signatures associated with responses to surgery, body mass index, and glycaemic control. Improved understanding of gut microbiota - host co-metabolism may lead to novel therapies for weight-loss or diabetes. However, further experiments are required to provide mechanistic insight into the role of the gut microbiota in host metabolism and establish proof of causality. Weight-loss surgery is a highly effective treatment of type 2 diabetes in people with obesity. Interestingly, the improvement in diabetes after weight-loss surgery occurs before any significant weight-loss. Through better understanding of this metabolic improvement, weight-loss surgery provides a unique avenue to identify novel ways of treating diabetes and obesity. Here we combine measurements of metabolism, gut bacteria and diet in people with obesity, with or without type 2 diabetes and in patients before and after weight-loss surgery. We have used these data to identify changes associated with weight-loss surgery, obesity and diabetes. Improved understanding of the mechanisms behind these changes, including how changes to gut bacteria influence metabolism, may lead to new treatments for weight-loss or diabetes. Penney et al. conduct microbial and metabolic profiling in people with obesity, with or without type 2 diabetes, undergoing two types of bariatric surgery. Integrative analysis identifies multi-omic signatures associated with response to surgery, body mass index, and glycaemic control.
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29
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Dawud F, Takyi SA, Arko-Mensah J, Basu N, Egbi G, Ofori-Attah E, Bawuah SA, Fobil JN. Relationship between Metal Exposures, Dietary Macronutrient Intake, and Blood Glucose Levels of Informal Electronic Waste Recyclers in Ghana. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12768. [PMID: 36232070 PMCID: PMC9564681 DOI: 10.3390/ijerph191912768] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 09/29/2022] [Accepted: 10/01/2022] [Indexed: 06/16/2023]
Abstract
While metal exposures are generally high among informal electronic waste (e-waste) recyclers, the joint effect of metals and dietary macronutrients on their metabolic health is unknown. Therefore, we investigated the relationship between metal exposures, dietary macronutrients intake, and blood glucose levels of e-waste recyclers at Agbogbloshie using dietary information (48-h recall survey), blood metals (Pb & Cd), and HbA1C levels of 151 participants (100 e-waste recyclers and 51 controls from the Accra, Ghana) in March 2017. A linear regression model was used to estimate the joint relationship between metal exposures, dietary macronutrient intake, and blood glucose levels. Except for dietary proteins, both groups had macronutrient deficiencies. Diabetes prevalence was significantly higher among controls. Saturated fat, OMEGA-3, and cholesterol intake were associated with significant increases in blood glucose levels of recyclers. In a joint model, while 1 mg of cholesterol consumed was associated with a 0.7% increase in blood glucose, 1 g/L of Pb was found to significantly increase blood glucose levels by 0.9% among recyclers. Although the dietary consumption of cholesterol and fat was not high, it is still possible that exposure to Pb and Cd may still increase the risk of diabetes among both e-waste recyclers and the general population.
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Affiliation(s)
- Fayizatu Dawud
- School of Public Health, University of Ghana, Legon, Accra P.O. Box LG13, Ghana
| | - Sylvia Akpene Takyi
- School of Public Health, University of Ghana, Legon, Accra P.O. Box LG13, Ghana
| | - John Arko-Mensah
- School of Public Health, University of Ghana, Legon, Accra P.O. Box LG13, Ghana
| | | | - Godfred Egbi
- Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Accra P.O. Box LG 581, Ghana
| | - Ebenezer Ofori-Attah
- Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Accra P.O. Box LG 581, Ghana
| | - Serwaa Akoto Bawuah
- School of Public Health, University of Ghana, Legon, Accra P.O. Box LG13, Ghana
| | - Julius N. Fobil
- School of Public Health, University of Ghana, Legon, Accra P.O. Box LG13, Ghana
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30
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Brignardello J, Fountana S, Posma JM, Chambers ES, Nicholson JK, Wist J, Frost G, Garcia-Perez I, Holmes E. Characterization of diet-dependent temporal changes in circulating short-chain fatty acid concentrations: A randomized crossover dietary trial. Am J Clin Nutr 2022; 116:1368-1378. [PMID: 36137188 PMCID: PMC9630877 DOI: 10.1093/ajcn/nqab211] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 06/07/2021] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Production of SCFAs from food is a complex and dynamic saccharolytic fermentation process mediated by both human and gut microbial factors. Knowledge of SCFA production and of the relation between SCFA profiles and dietary patterns is lacking. OBJECTIVES Temporal changes in SCFA concentrations in response to 2 contrasting diets were investigated using a novel GC-MS method. METHODS Samples were obtained from a randomized, controlled, crossover trial designed to characterize the metabolic response to 4 diets. Participants (n = 19) undertook these diets during an inpatient stay (of 72 h). Serum samples were collected 2 h after breakfast (AB), after lunch (AL), and after dinner (AD) on day 3, and a fasting sample (FA) was obtained on day 4. The 24-h urine samples were collected on day 3. In this substudy, samples from the 2 extreme diets representing a diet with high adherence to WHO healthy eating recommendations and a typical Western diet were analyzed using a bespoke GC-MS method developed to detect and quantify 10 SCFAs and precursors in serum and urine samples. RESULTS Considerable interindividual variation in serum SCFA concentrations was observed across all time points, and temporal fluctuations were observed for both diets. Although the sample collection timing exerted a greater magnitude of effect on circulating SCFA concentrations, the unhealthy diet was associated with a lower concentration of acetic acid (FA: coefficient: -17.0; SE: 5.8; P-trend = 0.00615), 2-methylbutyric acid (AL: coefficient: -0.1; SE: 0.028; P-trend = 4.13 × 10-4 and AD: coefficient: -0.1; SE: 0.028; P-trend = 2.28 × 10-3), and 2-hydroxybutyric acid (FA: coefficient: -15.8; SE: 5.11; P-trend: 4.09 × 10-3). In contrast, lactic acid was significantly higher in the unhealthy diet (AL: coefficient: 750.2; SE: 315.2; P-trend = 0.024 and AD: coefficient: 1219.3; SE: 322.6; P-trend: 8.28 × 10-4). CONCLUSIONS The GC-MS method allowed robust mapping of diurnal patterns in SCFA concentrations, which were affected by diet, and highlighted the importance of standardizing the timing of SCFA measurements in dietary studies. This trial was registered on the NIHR UK clinical trial gateway and with ISRCTN as ISRCTN43087333.
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Affiliation(s)
- Jerusa Brignardello
- Section for Nutrition Research, Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Sofia Fountana
- Department of Surgery & Cancer, Imperial College London, London, United Kingdom
| | - Joram Matthias Posma
- Section of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Edward S Chambers
- Section for Nutrition Research, Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Jeremy K Nicholson
- Australian National Phenome Centre, Health Futures Institute, Murdoch University, Harry Perkins Institute of Medical Research, Perth, Western Australia, Australia,Institute of Global Health Innovation, Imperial College London, London, United Kingdom
| | - Julien Wist
- Chemistry Department, Universidad del Valle, Cali, Colombia,Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Institute of Medical Research, Perth, Western Australia, Australia
| | - Gary Frost
- Section for Nutrition Research, Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Isabel Garcia-Perez
- Section for Nutrition Research, Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
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31
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Levy J, Silva AM, De Carli E, Cacau LT, de Alvarenga JFR, Fiamoncini J, Benseñor IM, Lotufo PA, Marchioni DM. Biomarkers of Fruit Intake Using a Targeted Metabolomics Approach: an Observational Cross-Sectional Analysis of the ELSA-Brasil Study. J Nutr 2022; 152:2023-2030. [PMID: 35641174 DOI: 10.1093/jn/nxac115] [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: 12/06/2021] [Revised: 03/11/2022] [Accepted: 05/24/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Advances in technology have led to the identification of a greater number of metabolites related to diet. Although fruit intake biomarkers have been reported in some studies, these findings require further replication, considering the relevance of fruits for diet quality and health. OBJECTIVES The aim of this study was to explore the associations of a set of potential urinary biomarkers of diet, assessed using a targeted metabolomics approach, with self-reported fruit intake data in participants of a computer-assisted 24-h dietary recall (GloboDiet software) validation study. METHODS A total of 93 individuals aged 43-72 y, 54% female, participated in this study. The subjects were a subsample of the Longitudinal Study of Adult Health (ELSA-Brasil). A 24-h dietary recall was obtained with the aid of GloboDiet software matching a 24-h urine sample from each participant. Candidate biomarkers were selected in a literature search and identified in urine by LC coupled to high-resolution MS. Spearman correlation analyses were performed between fruit intake and each biomarker. RESULTS Spearman correlation analysis showed that total fruits intake was significantly correlated with citric acid (ρ = 0.213, P = 0.041), ferulic acid sulfate I (ρ = 0.240, P = 0.020), hesperetin glucuronide/homoeriodictyol glucuronide (ρ = 0.303, P = 0.003), hydroxyhippuric acid (ρ = 0.239, P = 0.021), homovanillic alcohol sulfate (ρ = 0.339, P = 0.001), methylgallic acid sulfate (ρ = 0.268, P = 0.009), naringenin glucuronide (NG; ρ = 0.278, P = 0.007), proline betaine (PB; ρ = 0.305, P = 0.003), syringic acid sulfate (ρ = 0.210, P = 0.044), and sinapic acid sulfate (ρ = 0.412, P < 0.001). Among them, 3 have been described in literature as promising biomarkers for intake of total fruit, oranges, and citrus fruit: NG, hesperetin glucuronide, and PB. CONCLUSIONS Associations of total fruits intake with urinary measurements indicate the potential usefulness of dietary biomarkers in the Brazilian population as a complement to self-reported dietary assessments.
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Affiliation(s)
- Jessica Levy
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Alexsandro Macedo Silva
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Eduardo De Carli
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Leandro Teixeira Cacau
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - José Fernando Rinaldi de Alvarenga
- Food Research Center (FoRC), Department of Food and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil
| | - Jarlei Fiamoncini
- Food Research Center (FoRC), Department of Food and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil
| | - Isabela Martins Benseñor
- Clinical and Epidemiological Research Center, University Hospital, University of São Paulo, São Paulo, Brazil
| | - Paulo Andrade Lotufo
- Clinical and Epidemiological Research Center, University Hospital, University of São Paulo, São Paulo, Brazil
| | - Dirce Maria Marchioni
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
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32
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Chen GC, Chai JC, Xing J, Moon JY, Shan Z, Yu B, Mossavar-Rahman Y, Sotres-Alvarez D, Li J, Mattei J, Daviglus ML, Perkins DL, Burk RD, Boerwinkle E, Kaplan RC, Hu FB, Qi Q. Healthful eating patterns, serum metabolite profile and risk of diabetes in a population-based prospective study of US Hispanics/Latinos. Diabetologia 2022; 65:1133-1144. [PMID: 35357561 PMCID: PMC9890970 DOI: 10.1007/s00125-022-05690-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 01/25/2022] [Indexed: 02/03/2023]
Abstract
AIMS/HYPOTHESIS We aimed to evaluate associations of multiple recommended dietary patterns (i.e. the alternate Mediterranean diet [aMED], the Healthy Eating Index [HEI]-2015 and the healthful Plant-based Diet Index [hPDI]) with serum metabolite profile, and to examine dietary-pattern-associated metabolites in relation to incident diabetes. METHODS We included 2842 adult participants free from diabetes, CVD and cancer during baseline recruitment of the Hispanic Community Health Study/Study of Latinos. Metabolomics profiling of fasting serum was performed using an untargeted approach. Dietary pattern scores were derived using information collected by two 24 h dietary recalls. Dietary-pattern-associated metabolites were identified using multivariable survey linear regressions and their associations with incident diabetes were assessed using multivariable survey Poisson regressions with adjustment for traditional risk factors. RESULTS We identified eight metabolites (mannose, γ/β-tocopherol, N1-methylinosine, pyrraline and four amino acids) that were inversely associated with all dietary scores. These metabolites were detrimentally associated with various cardiometabolic risk traits, especially insulin resistance. A score comprised of these metabolites was associated with elevated risk of diabetes (RRper SD 1.54 [95% CI 1.29, 1.83]), and this detrimental association appeared to be attenuated or eliminated by having a higher score for aMED (pinteraction = 0.0001), HEI-2015 (pinteraction = 0.020) or hPDI (pinteraction = 0.023). For example, RR (95% CI) of diabetes for each SD increment in the metabolite score was 1.99 (1.44, 2.37), 1.67 (1.17, 2.38) and 1.08 (0.86, 1.34) across the lowest to the highest tertile of aMED score, respectively. CONCLUSIONS/INTERPRETATION Various recommended dietary patterns were inversely related to a group of metabolites that were associated with elevated risk of diabetes. Adhering to a healthful eating pattern may attenuate or eliminate the detrimental association between metabolically unhealthy serum metabolites and risk of diabetes.
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Affiliation(s)
- Guo-Chong Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jin Choul Chai
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jiaqian Xing
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jee-Young Moon
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Zhilei Shan
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yasmin Mossavar-Rahman
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Daniela Sotres-Alvarez
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jun Li
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Josiemer Mattei
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - David L Perkins
- Department of Medicine, University of Illinois, Chicago, IL, USA
| | - Robert D Burk
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Pediatrics, Department of Microbiology and Immunology, Department of Obstetrics, Gynecology and Women's Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
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33
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Qi L. Nutrition for precision health: The time is now. Obesity (Silver Spring) 2022; 30:1335-1344. [PMID: 35785484 DOI: 10.1002/oby.23448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 03/13/2022] [Accepted: 03/21/2022] [Indexed: 11/11/2022]
Abstract
Precision nutrition has emerged as a boiling area of nutrition research, with a particular focus on revealing the individual variability in response to diets that is determined mainly by the complex interactions of dietary factors with the multi-tiered "omics" makeups. Reproducible findings from the observational studies and diet intervention trials have lent preliminary but consistent evidence to support the fundamental role of gene-diet interactions in determining the individual variability in health outcomes including obesity and weight loss. Recent investigations suggest that the abundance and diversity of the gut microbiome may also modify the dietary effects; however, considerable instability in the results from the microbiome research has been noted. In addition, growing studies suggest that a complicated multiomics algorithm would be developed by incorporating the genome, epigenome, metabolome, proteome, and microbiome in predicting the individual variability in response to diets. Moreover, precision nutrition would also scrutinize the role of biological (circadian) rhythm in determining the individual variability of dietary effects. The evidence gathered from precision nutrition research will be the basis for constructing precision health dietary recommendations, which hold great promise to help individuals and their health care providers create precise and effective diet plans for precision health in the future.
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Affiliation(s)
- Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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34
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Smith E, Ericson U, Hellstrand S, Orho-Melander M, Nilsson PM, Fernandez C, Melander O, Ottosson F. A healthy dietary metabolic signature is associated with a lower risk for type 2 diabetes and coronary artery disease. BMC Med 2022; 20:122. [PMID: 35443726 PMCID: PMC9022292 DOI: 10.1186/s12916-022-02326-z] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 03/08/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The global burden of cardiovascular disease and type 2 diabetes could be decreased by improving dietary factors, but identification of groups suitable for interventional approaches can be difficult. Reporting of dietary intake is prone to errors, and measuring of metabolites has shown promise in determining habitual dietary intake. Our aim is to create a metabolic signature that is associated with healthy eating and test if it associates with type 2 diabetes and coronary artery disease risk. METHODS Using plasma metabolite data consisting of 111 metabolites, partial least square (PLS) regression was used to identify a metabolic signature associated with a health conscious food pattern in the Malmö Offspring Study (MOS, n = 1538). The metabolic signature's association with dietary intake was validated in the Malmö Diet and Cancer study (MDC, n = 2521). The associations between the diet-associated metabolic signature and incident type 2 diabetes and coronary artery disease (CAD) were tested using Cox regression in MDC and logistic regression in Malmö Preventive Project (MPP, n = 1083). Modelling was conducted unadjusted (model 1), adjusted for potential confounders (model 2) and additionally for potential mediators (model 3). RESULTS The metabolic signature was associated with lower risk for type 2 diabetes in both MDC (hazard ratio: 0.58, 95% CI 0.52-0.66, per 1 SD increment of the metabolic signature) and MPP (odds ratio: 0.54, 95% CI 0.44-0.65 per 1 SD increment of the metabolic signature) in model 2. The results were attenuated but remained significant in model 3 in both MDC (hazard ratio 0.73, 95% CI 0.63-0.83) and MPP (odds ratio 0.70, 95% CI 0.55-0.88). The diet-associated metabolic signature was also inversely associated with lower risk of CAD in both MDC and MPP in model 1, but the association was non-significant in model 3. CONCLUSIONS In this proof-of-concept study, we identified a healthy diet-associated metabolic signature, which was inversely associated with future risk for type 2 diabetes and coronary artery disease in two different cohorts. The association with diabetes was independent of traditional risk factors and might illustrate an effect of health conscious dietary intake on cardiometabolic health.
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Affiliation(s)
- Einar Smith
- Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden.
| | - Ulrika Ericson
- Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden
| | - Sophie Hellstrand
- Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden
| | - Marju Orho-Melander
- Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden
| | - Peter M Nilsson
- Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden.,Department of Emergency and Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | - Céline Fernandez
- Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden
| | - Olle Melander
- Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden.,Department of Emergency and Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | - Filip Ottosson
- Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden.,Section for Clinical Mass Spectrometry, Danish Center for Neonatal Screening, Department of Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
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35
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Trimigno A, Khakimov B, Lauge Quaade M, Honoré OL, Clausen T, Blaabjerg K, Balling Engelsen S, Vedsted Hammer AS. Urinary and plasma metabolome of farm mink ( Neovison vison) after an intervention with raw or cooked poultry offal: a 1H NMR investigation. Arch Anim Nutr 2022; 76:74-91. [PMID: 35289194 DOI: 10.1080/1745039x.2021.2003682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
The introduction of high amounts of cooked poultry offal in mink feed has been associated with health problems in growing mink. Cooking mink feed is a convenient way of reducing microbiological activity, but it may have a negative effect on raw material quality and animal welfare. This study investigates growth and health of mink fed raw or cooked poultry offal and describes urinary and blood plasma metabolic changes related to the feeding. A total of 65 male mink were divided in three feeding groups, two fed cooked offal and one group fed raw offal, and the plasma and urine samples were collected at 3 time points during the growth. Both bio-fluids and feed samples were measured by 1H NMR spectroscopy and resulted metabolomics data were analysed using univariate and multivariate statistical methods that revealed dominating effect of the mink growth stages and to a less extent the feeding regime. Metabolome differences in relation to low body mass index (BMI) and kidney lesions were observed in plasma. Disease and decrease in BMI was associated with high creatinine and dimethylglycine content in plasma. These molecules were also particularly indicative of the cooked feeds. Moreover, low urinary taurine levels were also associated with disease and low BMI. Individual mink appeared to show negative effects of the cooked feed diet, including impaired growth and gross pathological lesions involving the kidneys. This may be related to the absorption of essential metabolites such as amino acids and fats, necessary for mink growth, that are negatively impacted by the cooking process.
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Affiliation(s)
- Alessia Trimigno
- Department of Food Science, University of Copenhagen, Frederiksberg, Denmark
| | - Bekzod Khakimov
- Department of Food Science, University of Copenhagen, Frederiksberg, Denmark
| | - Michelle Lauge Quaade
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Oliver Legarth Honoré
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tove Clausen
- Danish Fur Breeders Research Centre, Holstebro, Denmark
| | | | | | - Anne Sofie Vedsted Hammer
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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36
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Chan Q, Wren GM, Lau CHE, Ebbels TMD, Gibson R, Loo RL, Aljuraiban GS, Posma JM, Dyer AR, Steffen LM, Rodriguez BL, Appel LJ, Daviglus ML, Elliott P, Stamler J, Holmes E, Van Horn L. Blood pressure interactions with the DASH dietary pattern, sodium, and potassium: The International Study of Macro-/Micronutrients and Blood Pressure (INTERMAP). Am J Clin Nutr 2022; 116:216-229. [PMID: 35285859 PMCID: PMC9257466 DOI: 10.1093/ajcn/nqac067] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 03/09/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Adherence to the Dietary Approaches to Stop Hypertension (DASH) diet enhances potassium intake and reduces sodium intake and blood pressure (BP), but the underlying metabolic pathways are unclear. OBJECTIVES Among free-living populations, we delineated metabolic signatures associated with the DASH diet adherence, 24-hour urinary sodium and potassium excretions, and the potential metabolic pathways involved. METHODS We used 24-hour urinary metabolic profiling by proton nuclear magnetic resonance spectroscopy to characterize the metabolic signatures associated with the DASH dietary pattern score (DASH score) and 24-hour excretion of sodium and potassium among participants in the United States (n = 2164) and United Kingdom (n = 496) enrolled in the International Study of Macro- and Micronutrients and Blood Pressure (INTERMAP). Multiple linear regression and cross-tabulation analyses were used to investigate the DASH-BP relation and its modulation by sodium and potassium. Potential pathways associated with DASH adherence, sodium and potassium excretion, and BP were identified using mediation analyses and metabolic reaction networks. RESULTS Adherence to the DASH diet was associated with urinary potassium excretion (correlation coefficient, r = 0.42; P < 0.0001). In multivariable regression analyses, a 5-point higher DASH score (range, 7 to 35) was associated with a lower systolic BP by 1.35 mmHg (95% CI, -1.95 to -0.80 mmHg; P = 1.2 × 10-5); control of the model for potassium but not sodium attenuated the DASH-BP relation. Two common metabolites (hippurate and citrate) mediated the potassium-BP and DASH-BP relationships, while 5 metabolites (succinate, alanine, S-methyl cysteine sulfoxide, 4-hydroxyhippurate, and phenylacetylglutamine) were found to be specific to the DASH-BP relation. CONCLUSIONS Greater adherence to the DASH diet is associated with lower BP and higher potassium intake across levels of sodium intake. The DASH diet recommends greater intake of fruits, vegetables, and other potassium-rich foods that may replace sodium-rich processed foods and thereby influence BP through overlapping metabolic pathways. Possible DASH-specific pathways are speculated but confirmation requires further study. INTERMAP is registered as NCT00005271 at www.clinicaltrials.gov.
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Affiliation(s)
| | - Gina M Wren
- Section of Bioinformatics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Chung-Ho E Lau
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom,Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Timothy M D Ebbels
- Section of Bioinformatics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Rachel Gibson
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom,Department of Nutritional Sciences, King's College London, London, United Kingdom
| | - Ruey Leng Loo
- Australian National Phenome Centre and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, Western Australia, Australia
| | - Ghadeer S Aljuraiban
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - Joram M Posma
- Section of Bioinformatics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Alan R Dyer
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Lyn M Steffen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Beatriz L Rodriguez
- Department of Geriatric Medicine, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Lawrence J Appel
- Welch Center for Prevention, Epidemiology and Clinical Research; Johns Hopkins University, Baltimore, MD, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Jeremiah Stamler
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Elaine Holmes
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom,Australian National Phenome Centre and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, Western Australia, Australia
| | - Linda Van Horn
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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Metabolic syndrome in rural Peruvian adults living at high altitudes using different cookstoves. PLoS One 2022; 17:e0263415. [PMID: 35134083 PMCID: PMC8824363 DOI: 10.1371/journal.pone.0263415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 01/13/2022] [Indexed: 12/01/2022] Open
Abstract
This study determined the prevalence of metabolic syndrome (MetS) in open fire stoves and improved cookstoves users (ICS) in the rural Peruvian Andes. Participants answered a socioeconomic questionnaire, one 24-hour food recall and underwent a physical examination. We analysed data from 385 participants, 190 (112 women and 78 men) were ICS users and 195 (123 women and 72 men) were open fire stove users. The prevalence of MetS was 21.3, 26.4% in women and 13.3% in men. We found no statistically significant association between the type of cookstove and MetS. Body mass index and altitude were important determinants of MetS. Research on cardiometabolic diseases and open fire stove use contributes to understanding the effect of household air pollution on health in high altitude populations.
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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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Stratakis N, Siskos AP, Papadopoulou E, Nguyen AN, Zhao Y, Margetaki K, Lau CHE, Coen M, Maitre L, Fernández-Barrés S, Agier L, Andrusaityte S, Basagaña X, Brantsaeter AL, Casas M, Fossati S, Grazuleviciene R, Heude B, McEachan RRC, Meltzer HM, Millett C, Rauber F, Robinson O, Roumeliotaki T, Borras E, Sabidó E, Urquiza J, Vafeiadi M, Vineis P, Voortman T, Wright J, Conti DV, Vrijheid M, Keun HC, Chatzi L. Urinary metabolic biomarkers of diet quality in European children are associated with metabolic health. eLife 2022; 11:e71332. [PMID: 35076016 PMCID: PMC8789316 DOI: 10.7554/elife.71332] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 01/02/2022] [Indexed: 11/13/2022] Open
Abstract
Urinary metabolic profiling is a promising powerful tool to reflect dietary intake and can help understand metabolic alterations in response to diet quality. Here, we used 1H NMR spectroscopy in a multicountry study in European children (1147 children from 6 different cohorts) and identified a common panel of 4 urinary metabolites (hippurate, N-methylnicotinic acid, urea, and sucrose) that was predictive of Mediterranean diet adherence (KIDMED) and ultra-processed food consumption and also had higher capacity in discriminating children's diet quality than that of established sociodemographic determinants. Further, we showed that the identified metabolite panel also reflected the associations of these diet quality indicators with C-peptide, a stable and accurate marker of insulin resistance and future risk of metabolic disease. This methodology enables objective assessment of dietary patterns in European child populations, complementary to traditional questionary methods, and can be used in future studies to evaluate diet quality. Moreover, this knowledge can provide mechanistic evidence of common biological pathways that characterize healthy and unhealthy dietary patterns, and diet-related molecular alterations that could associate to metabolic disease.
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Affiliation(s)
- Nikos Stratakis
- Department of Preventive Medicine, Keck School of Medicine, University of Southern CaliforniaLos AngelesUnited States
| | - Alexandros P Siskos
- Cancer Metabolism & Systems Toxicology Group, Division of Cancer, Department of Surgery & Cancer and Division of Systems Medicine, Department of Metabolism, Digestion & Reproduction, Imperial College London, Hammersmith Hospital CampusLondonUnited Kingdom
| | | | - Anh N Nguyen
- Department of Epidemiology, Erasmus University Medical CenterRotterdamNetherlands
| | - Yinqi Zhao
- Department of Preventive Medicine, Keck School of Medicine, University of Southern CaliforniaLos AngelesUnited States
| | - Katerina Margetaki
- Department of Preventive Medicine, Keck School of Medicine, University of Southern CaliforniaLos AngelesUnited States
| | - Chung-Ho E Lau
- Cancer Metabolism & Systems Toxicology Group, Division of Cancer, Department of Surgery & Cancer and Division of Systems Medicine, Department of Metabolism, Digestion & Reproduction, Imperial College London, Hammersmith Hospital CampusLondonUnited Kingdom
- MRC Centre for Environment and Health, School of Public Health, Imperial College LondonLondonUnited Kingdom
| | - Muireann Coen
- Cancer Metabolism & Systems Toxicology Group, Division of Cancer, Department of Surgery & Cancer and Division of Systems Medicine, Department of Metabolism, Digestion & Reproduction, Imperial College London, Hammersmith Hospital CampusLondonUnited Kingdom
- Oncology Safety, Clinical Pharmacology and Safety Sciences, R&D, AstraZenecaCambridgeUnited Kingdom
| | - Lea Maitre
- ISGlobalBarcelonaSpain
- Universitat Pompeu FabraBarcelonaSpain
- CIBER Epidemiologia y Salud PúblicaMadridSpain
| | - Silvia Fernández-Barrés
- ISGlobalBarcelonaSpain
- Universitat Pompeu FabraBarcelonaSpain
- CIBER Epidemiologia y Salud PúblicaMadridSpain
| | - Lydiane Agier
- Inserm, CNRS, University Grenoble Alpes, Team of environmental epidemiology applied to reproduction and respiratory health, IABGrenobleFrance
| | - Sandra Andrusaityte
- Department of Environmental Sciences, Vytautas Magnus UniversityKaunasLithuania
| | - Xavier Basagaña
- ISGlobalBarcelonaSpain
- Universitat Pompeu FabraBarcelonaSpain
- CIBER Epidemiologia y Salud PúblicaMadridSpain
| | | | - Maribel Casas
- ISGlobalBarcelonaSpain
- Universitat Pompeu FabraBarcelonaSpain
- CIBER Epidemiologia y Salud PúblicaMadridSpain
| | - Serena Fossati
- ISGlobalBarcelonaSpain
- Universitat Pompeu FabraBarcelonaSpain
- CIBER Epidemiologia y Salud PúblicaMadridSpain
| | | | - Barbara Heude
- Centre for Research in Epidemiology and Statistics, Université de Paris, Inserm, InraParisFrance
| | - Rosemary RC McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation TrustBradfordUnited Kingdom
| | | | - Christopher Millett
- Public Health Policy Evaluation Unit, School of Public Health, Imperial CollegeLondonUnited Kingdom
- Department of Preventive Medicine, School of Medicine, University of São PauloSão PauloBrazil
| | - Fernanda Rauber
- Public Health Policy Evaluation Unit, School of Public Health, Imperial CollegeLondonUnited Kingdom
- Department of Preventive Medicine, School of Medicine, University of São PauloSão PauloBrazil
- Center for Epidemiological Research in Nutrition and Health, University of São PauloSão PauloBrazil
| | - Oliver Robinson
- MRC Centre for Environment and Health, School of Public Health, Imperial College LondonLondonUnited Kingdom
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of CreteHeraklionGreece
| | - Eva Borras
- ISGlobalBarcelonaSpain
- Centre for Genomic Regulation, The Barcelona Institute of Science and TechnologyBarcelonaSpain
| | - Eduard Sabidó
- ISGlobalBarcelonaSpain
- Centre for Genomic Regulation, The Barcelona Institute of Science and TechnologyBarcelonaSpain
| | - Jose Urquiza
- ISGlobalBarcelonaSpain
- Universitat Pompeu FabraBarcelonaSpain
- CIBER Epidemiologia y Salud PúblicaMadridSpain
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of CreteHeraklionGreece
| | - Paolo Vineis
- MRC Centre for Environment and Health, School of Public Health, Imperial College LondonLondonUnited Kingdom
| | - Trudy Voortman
- Department of Epidemiology, Erasmus University Medical CenterRotterdamNetherlands
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation TrustBradfordUnited Kingdom
| | - David V Conti
- Department of Preventive Medicine, Keck School of Medicine, University of Southern CaliforniaLos AngelesUnited States
| | - Martine Vrijheid
- ISGlobalBarcelonaSpain
- Universitat Pompeu FabraBarcelonaSpain
- CIBER Epidemiologia y Salud PúblicaMadridSpain
| | - Hector C Keun
- Cancer Metabolism & Systems Toxicology Group, Division of Cancer, Department of Surgery & Cancer and Division of Systems Medicine, Department of Metabolism, Digestion & Reproduction, Imperial College London, Hammersmith Hospital CampusLondonUnited Kingdom
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern CaliforniaLos AngelesUnited States
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Jones B, Sands C, Alexiadou K, Minnion J, Tharakan G, Behary P, Ahmed AR, Purkayastha S, Lewis MR, Bloom S, Li JV, Tan TM. The Metabolomic Effects of Tripeptide Gut Hormone Infusion Compared to Roux-en-Y Gastric Bypass and Caloric Restriction. J Clin Endocrinol Metab 2022; 107:e767-e782. [PMID: 34460933 PMCID: PMC8764224 DOI: 10.1210/clinem/dgab608] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Indexed: 12/23/2022]
Abstract
CONTEXT The gut-derived peptide hormones glucagon-like peptide-1 (GLP-1), oxyntomodulin (OXM), and peptide YY (PYY) are regulators of energy intake and glucose homeostasis and are thought to contribute to the glucose-lowering effects of bariatric surgery. OBJECTIVE To establish the metabolomic effects of a combined infusion of GLP-1, OXM, and PYY (tripeptide GOP) in comparison to a placebo infusion, Roux-en-Y gastric bypass (RYGB) surgery, and a very low-calorie diet (VLCD). DESIGN AND SETTING Subanalysis of a single-blind, randomized, placebo-controlled study of GOP infusion (ClinicalTrials.gov NCT01945840), including VLCD and RYGB comparator groups. PATIENTS AND INTERVENTIONS Twenty-five obese patients with type 2 diabetes or prediabetes were randomly allocated to receive a 4-week subcutaneous infusion of GOP (n = 14) or 0.9% saline control (n = 11). An additional 22 patients followed a VLCD, and 21 underwent RYGB surgery. MAIN OUTCOME MEASURES Plasma and urine samples collected at baseline and 4 weeks into each intervention were subjected to cross-platform metabolomic analysis, followed by unsupervised and supervised modeling approaches to identify similarities and differences between the effects of each intervention. RESULTS Aside from glucose, very few metabolites were affected by GOP, contrasting with major metabolomic changes seen with VLCD and RYGB. CONCLUSIONS Treatment with GOP provides a powerful glucose-lowering effect but does not replicate the broader metabolomic changes seen with VLCD and RYGB. The contribution of these metabolomic changes to the clinical benefits of RYGB remains to be elucidated.
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MESH Headings
- Adult
- Aged
- Blood Glucose/analysis
- Caloric Restriction/methods
- Caloric Restriction/statistics & numerical data
- Diabetes Mellitus, Type 2/blood
- Diabetes Mellitus, Type 2/metabolism
- Diabetes Mellitus, Type 2/therapy
- Diabetes Mellitus, Type 2/urine
- Drug Therapy, Combination/methods
- Female
- Gastric Bypass/methods
- Gastric Bypass/statistics & numerical data
- Gastrointestinal Hormones/administration & dosage
- Glucagon-Like Peptide 1/administration & dosage
- Humans
- Infusions, Subcutaneous
- Male
- Metabolomics/statistics & numerical data
- Middle Aged
- Obesity, Morbid/blood
- Obesity, Morbid/metabolism
- Obesity, Morbid/therapy
- Obesity, Morbid/urine
- Oxyntomodulin/administration & dosage
- Peptide YY/administration & dosage
- Single-Blind Method
- Treatment Outcome
- Weight Loss
- Young Adult
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Affiliation(s)
- Ben Jones
- Section of Endocrinology and Investigative Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Caroline Sands
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Kleopatra Alexiadou
- Section of Endocrinology and Investigative Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - James Minnion
- Section of Endocrinology and Investigative Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - George Tharakan
- Section of Endocrinology and Investigative Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Preeshila Behary
- Section of Endocrinology and Investigative Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Ahmed R Ahmed
- Department of Surgery and Cancer, Imperial College Healthcare NHS Trust, London, UK
| | - Sanjay Purkayastha
- Department of Surgery and Cancer, Imperial College Healthcare NHS Trust, London, UK
| | - Matthew R Lewis
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Stephen Bloom
- Section of Endocrinology and Investigative Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Jia V Li
- Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Tricia M Tan
- Section of Endocrinology and Investigative Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
- Correspondence: Tricia M. Tan, MB, ChB, BSc, PhD, FRCP, FRCPath, 6th Floor, Commonwealth Building, Hammersmith Campus, Imperial College London, London W12 0HS, UK.
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41
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The Influence of Animal- or Plant-Based Diets on Blood and Urine Trimethylamine-N-Oxide (TMAO) Levels in Humans. Curr Nutr Rep 2022; 11:56-68. [PMID: 34990005 DOI: 10.1007/s13668-021-00387-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/30/2021] [Indexed: 10/19/2022]
Abstract
PURPOSE OF REVIEW The aim of the review was to evaluate which diets are associated with higher TMAO levels. RECENT FINDINGS Several studies have shown that plasma and urinary levels of trimethylamine N-oxide (TMAO) are a reliable indicator of cardiovascular disease risk. Diet certainly has a strong influence on TMAO levels, but there is still uncertainty about which diet is the most effective in reducing this risk factor. PubMed, Web of Science and Scopus were searched for studies that were published up until July 1, 2021 using specific keywords. In total, 447 studies were evaluated, of which papers on individual foods or supplements, or conducted in children, in vitro or in animal model studies were excluded. Twenty-five studies were included in this review. Three studies showed that caloric restriction and (visceral) weight loss improve TMAO levels. Six out of eight studies revealed beneficial effects of plant-based diets on plasma or urinary TMAO concentrations. Most of the studies demonstrated that a diet high in protein, particularly of animal origin, such as diets rich in fish or red meat, have negative effects on TMAO levels. Most studies that have evaluated the relationship between diet and plasma or urinary concentrations of TMAO seem to indicate that plant-based diets (Mediterranean, vegetarian and vegan) are effective in improving TMAO levels, while animal-based diets appear to have the opposite effect. Further long-term studies are needed to assess whether vegetarian or vegan diets are more effective than the Mediterranean diet in reducing TMAO levels.
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Abstract
Context Most methods for assessing dietary intake have considerable measurement error. Dietary biomarkers are objective tools for dietary assessment. Dietary biomarkers of dietary patterns have not been well described, despite modern dietary guidelines endorsing dietary patterns. Objective This systematic review sought to describe the dietary biomarkers commonly used to assess dietary patterns, and the novel biomarkers of dietary patterns identified by exploratory studies. Data Sources MEDLINE, Embase, Cochrane Central, PreMEDLINE, and CINAHL databases were searched. Data Extraction Data extraction and bias assessment were undertaken in duplicate. Data Analysis A qualitative approach was applied, without statistical analysis. Conclusion In controlled settings, dietary biomarkers of single nutrients or of individual foods or food groups are commonly used to assess compliance with dietary patterns. However, currently, there are no dietary biomarkers or biomarker profiles that are able to identify the specific dietary pattern that has been consumed by an individual. Future work should seek to validate novel dietary biomarkers and biomarker profiles that are indicative of specific dietary patterns and their characteristics. A dietary biomarker panel consisting of multiple biomarkers is almost certainly necessary to capture the complexity of dietary patterns. Systematic Review Registration PROSPERO registration no. CRD42019129839.
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Affiliation(s)
- Shuang Liang
- The Boden Initiative, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia
| | - Reeja F Nasir
- The Boden Initiative, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia
| | - Kim S Bell-Anderson
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Clémence A Toniutti
- The Boden Initiative, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Fiona M O’Leary
- Susan Wakil School of Nursing and Midwifery, The University of Sydney, Sydney, New South Wales, Australia
| | - Michael R Skilton
- M.R. Skilton, D17—Charles Perkins Centre, The University of Sydney, NSW 2006, Australia. E-mail: .*F.M.O’L. and M.R.S. contributed equally to this review
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Handakas E, Lau CH, Alfano R, Chatzi VL, Plusquin M, Vineis P, Robinson O. A systematic review of metabolomic studies of childhood obesity: State of the evidence for metabolic determinants and consequences. Obes Rev 2022; 23 Suppl 1:e13384. [PMID: 34797026 DOI: 10.1111/obr.13384] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 10/11/2021] [Indexed: 12/19/2022]
Abstract
Childhood obesity has become a global epidemic and carries significant long-term consequences to physical and mental health. Metabolomics, the global profiling of small molecules or metabolites, may reveal the mechanisms of development of childhood obesity and clarify links between obesity and metabolic disease. A systematic review of metabolomic studies of childhood obesity was conducted, following Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines, searching across Scopus, Ovid, Web of Science and PubMed databases for articles published from January 1, 2005 to July 8, 2020, retrieving 1271 different records and retaining 41 articles for qualitative synthesis. Study quality was assessed using a modified Newcastle-Ottawa Scale. Thirty-three studies were conducted on blood, six on urine, three on umbilical cord blood, and one on saliva. Thirty studies were primarily cross-sectional, five studies were primarily longitudinal, and seven studies examined effects of weight-loss following a life-style intervention. A consistent metabolic profile of childhood obesity was observed including amino acids (particularly branched chain and aromatic), carnitines, lipids, and steroids. Although the use of metabolomics in childhood obesity research is still developing, the identified metabolites have provided additional insight into the pathogenesis of many obesity-related diseases. Further longitudinal research is needed into the role of metabolic profiles and child obesity risk.
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Affiliation(s)
- Evangelos Handakas
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Chung Ho Lau
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Rossella Alfano
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.,Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Vaia Lida Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Michelle Plusquin
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.,Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Paolo Vineis
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Oliver Robinson
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
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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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45
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Metabolomics Meets Nutritional Epidemiology: Harnessing the Potential in Metabolomics Data. Metabolites 2021; 11:metabo11100709. [PMID: 34677424 PMCID: PMC8537466 DOI: 10.3390/metabo11100709] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Revised: 10/08/2021] [Accepted: 10/14/2021] [Indexed: 12/29/2022] Open
Abstract
Traditionally, nutritional epidemiology is the study of the relationship between diet and health and disease in humans at the population level. Commonly, the exposure of interest is food intake. In recent years, nutritional epidemiology has moved from a "black box" approach to a systems approach where genomics, metabolomics and proteomics are providing novel insights into the interplay between diet and health. In this context, metabolomics is emerging as a key tool in nutritional epidemiology. The present review explores the use of metabolomics in nutritional epidemiology. In particular, it examines the role that food-intake biomarkers play in addressing the limitations of self-reported dietary intake data and the potential of using metabolite measurements in assessing the impact of diet on metabolic pathways and physiological processes. However, for full realisation of the potential of metabolomics in nutritional epidemiology, key challenges such as robust biomarker validation and novel methods for new metabolite identification need to be addressed. The synergy between traditional epidemiologic approaches and metabolomics will facilitate the translation of nutritional epidemiologic evidence to effective precision nutrition.
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Wu Y, Posma JM, Holmes E, Frost G, Chambers ES, Garcia-Perez I. Odd Chain Fatty Acids Are Not Robust Biomarkers for Dietary Intake of Fiber. Mol Nutr Food Res 2021; 65:e2100316. [PMID: 34605164 DOI: 10.1002/mnfr.202100316] [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: 04/01/2021] [Revised: 08/06/2021] [Indexed: 11/08/2022]
Abstract
SCOPE Prior investigation has suggested a positive association between increased colonic propionate production and circulating odd-chain fatty acids (OCFAs; pentadecanoic acid [C15:0], heptadecanoic acid [C17:0]). As the major source of propionate in humans is the microbial fermentation of dietary fiber, OCFAs have been proposed as candidate biomarkers of dietary fiber. The objective of this study is to critically assess the plausibility, robustness, reliability, dose-response, time-response aspects of OCFAs as potential biomarkers of fermentable fibers in two independent studies using a validated analytical method. METHODS AND RESULTS OCFAs are first assessed in a fiber supplementation study, where 21 participants received 10 g dietary fiber supplementation for 7 days. OCFAs are then assessed in a highly controlled inpatient setting, which 19 participants consumed a high fiber (45.1 g per day) and a low fiber diet (13.6 g per day) for 4 days. Collectively in both studies, dietary intakes of fiber as fiber supplementations or having consumed a high fiber diet do not increase circulating levels of OCFAs. The dose and temporal relations are not observed. CONCLUSION Current study has generated new insight on the utility of OCFAs as fiber biomarkers and highlighted the importance of critical assessment of candidate biomarkers before application.
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Affiliation(s)
- Yiwei Wu
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Joram M Posma
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.,Health Data Research UK-London, London, UK
| | - Elaine Holmes
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Gary Frost
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Edward S Chambers
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Isabel Garcia-Perez
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
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Hardy I, Lloyd A, Morisset AS, Camirand Lemyre F, Baillargeon JP, Fraser WD. Healthy for My Baby Research Protocol- a Randomized Controlled Trial Assessing a Preconception Intervention to Improve the Lifestyle of Overweight Women and Their Partners. Front Public Health 2021; 9:670304. [PMID: 34414154 PMCID: PMC8369366 DOI: 10.3389/fpubh.2021.670304] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Accepted: 07/05/2021] [Indexed: 01/22/2023] Open
Abstract
Background: Preconception lifestyle interventions appear promising to reduce pregnancy complications, prevent adult cardiometabolic diseases, and prevent childhood obesity. These interventions have almost exclusively been studied in populations of obese infertile women. The development of preconception lifestyle interventions targeting a broader population of overweight and obese women without a history infertility and their partners is needed. Methods: This study is a multicenter open label parallel group randomized controlled trial. Sixty-eight non-infertile women with overweight or obesity in the preconception period and their partners will be recruited from the Sherbrooke and Quebec City regions. The couples will be randomized in a 1:1 ratio to receive the Healthy for my Baby intervention or standard care in the preconception period and pregnancy. Women and their partners will be invited to take part in this lifestyle intervention which includes motivational interviews and daily self-monitoring of lifestyle goals through a mobile phone application. The primary endpoint of this study is the diet quality of women during the preconception period, which will be evaluated using the C-HEI 2007 score at baseline, 2, 4- and 6-months following study enrolment. Women's dietary quality will also be evaluated through the measure of urinary biomarkers of habitual dietary intake at baseline and 2 months in preconception, and 24–26 weeks in pregnancy. Additional indicators of women's lifestyle as well as anthropometric measures will be documented in preconception and pregnancy. For the pregnancy period, the main secondary endpoint is the pattern of gestational weight gain. Pregnancy and neonatal complications will also be evaluated. For partners, diet quality, other lifestyle habits, and anthropometric measures will be documented in the preconception and pregnancy periods. Discussion: This study will evaluate the effectiveness of a low-cost intervention designed to improve diet and other lifestyle characteristics of women in the preconception period who are overweight or obese. If the Healthy for my Baby intervention is efficacious regarding dietary measures, larger trials will be needed to evaluate the impact of this intervention on the rates of pregnancy complications, childhood obesity, and adult cardiometabolic disease. Clinical Trial Registration:clinicaltrials.gov (NCT04242069).
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Affiliation(s)
- Isabelle Hardy
- Department of Obstetrics and Gynecology, University of Sherbrooke and Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CRCHUS), Sherbrooke, QC, Canada
| | - Amanda Lloyd
- Institute of Biological, Environmental, and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Anne-Sophie Morisset
- School of Nutrition, Faculty of Agricultural and Food Science, Laval University, Laval, QC, Canada
| | - Felix Camirand Lemyre
- Department of Mathematics, University of Sherbrooke and CRCHUS, Sherbrooke, QC, Canada
| | - Jean-Patrice Baillargeon
- Endocrine Division, Department of Medicine, University of Sherbrooke and CRCHUS, Sherbrooke, QC, Canada
| | - William D Fraser
- Department of Obstetrics and Gynecology, University of Sherbrooke and Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CRCHUS), Sherbrooke, QC, Canada
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48
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Humphry NA, Wilson T, Cox MC, Carter B, Arkesteijn M, Reeves NL, Brakenridge S, McCarthy K, Bunni J, Draper J, Hewitt J. Association of Postoperative Clinical Outcomes With Sarcopenia, Frailty, and Nutritional Status in Older Patients With Colorectal Cancer: Protocol for a Prospective Cohort Study. JMIR Res Protoc 2021; 10:e16846. [PMID: 34402798 PMCID: PMC8408756 DOI: 10.2196/16846] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 01/13/2021] [Accepted: 03/24/2021] [Indexed: 01/05/2023] Open
Abstract
Background Older patients account for a significant proportion of patients undergoing colorectal cancer surgery and are vulnerable to a number of preoperative risk factors that are not often present in younger patients. Further, three preoperative risk factors that are more prevalent in older adults include frailty, sarcopenia, and malnutrition. Although each of these has been studied in isolation, there is little information on the interplay between them in older surgical patients. A particular area of increasing interest is the use of urine metabolomics for the objective evaluation of dietary profiles and malnutrition. Objective Herein, we describe the design, cohort, and standard operating procedures of a planned prospective study of older surgical patients undergoing colorectal cancer resection across multiple institutions in the United Kingdom. The objectives are to determine the association between clinical outcomes and frailty, nutritional status, and sarcopenia. Methods The procedures will include serial frailty evaluations (Clinical Frailty Scale and Groningen Frailty Indicator), functional assessments (hand grip strength and 4-meter walk test), muscle mass evaluations via computerized tomography morphometric analysis, and the evaluation of nutritional status via the analysis of urinary dietary biomarkers. The primary feasibility outcome is the estimation of the incidence rate of postoperative complications, and the primary clinical outcome is the association between the presence of postoperative complications and frailty, sarcopenia, and nutritional status. The secondary outcome measures are the length of hospital stay, 30-day hospital readmission rate, and mortality rate at days 30 and 90. Results Our study was approved by the National Health Service Research Ethics Committee (reference number: 19/WA/0190) via the Integrated Research Application System (project ID: 231694) prior to subject recruitment. Cardiff University is acting as the study sponsor. Our study is financially supported through an external, peer-reviewed grant from the British Geriatrics Society and internal funding resources from Cardiff University. The results will be disseminated through peer-review publications, social media, and conference proceedings. Conclusions As frailty, sarcopenia, and malnutrition are all areas of common derangement in the older surgical population, prospectively studying these risk factors in concert will allow for the analysis of their interplay as well as the development of predictive models for those at risk of commonly tracked surgical complications and outcomes. International Registered Report Identifier (IRRID) PRR1-10.2196/16846
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Affiliation(s)
| | - Thomas Wilson
- Institute of Biological, Environmental & Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Michael Christian Cox
- Department of Surgery, College of Medicine, University of Florida, Gainesville, FL, United States
| | - Ben Carter
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom
| | - Marco Arkesteijn
- Institute of Biological, Environmental & Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Nicola Laura Reeves
- Department of Surgery, Cardiff and Vale University Health Board, Cardiff, United Kingdom
| | - Scott Brakenridge
- Department of Surgery, Harborview Medical Center, University of Washington, Seattle, WA, United States
| | - Kathryn McCarthy
- North Bristol National Health Service Trust, Bristol, United Kingdom
| | - John Bunni
- Royal United Hospitals Bath National Health Service Foundation Trust, Bath, United Kingdom
| | - John Draper
- Institute of Biological, Environmental & Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Jonathan Hewitt
- Division of Population Medicine, Cardiff University, Cardiff, United Kingdom
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Papadimitriou N, Markozannes G, Kanellopoulou A, Critselis E, Alhardan S, Karafousia V, Kasimis JC, Katsaraki C, Papadopoulou A, Zografou M, Lopez DS, Chan DSM, Kyrgiou M, Ntzani E, Cross AJ, Marrone MT, Platz EA, Gunter MJ, Tsilidis KK. An umbrella review of the evidence associating diet and cancer risk at 11 anatomical sites. Nat Commun 2021; 12:4579. [PMID: 34321471 PMCID: PMC8319326 DOI: 10.1038/s41467-021-24861-8] [Citation(s) in RCA: 102] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 07/09/2021] [Indexed: 02/07/2023] Open
Abstract
There is evidence that diet and nutrition are modifiable risk factors for several cancers, but associations may be flawed due to inherent biases. Nutritional epidemiology studies have largely relied on a single assessment of diet using food frequency questionnaires. We conduct an umbrella review of meta-analyses of observational studies to evaluate the strength and validity of the evidence for the association between food/nutrient intake and risk of developing or dying from 11 primary cancers. It is estimated that only few single food/nutrient and cancer associations are supported by strong or highly suggestive meta-analytic evidence, and future similar research is unlikely to change this evidence. Alcohol consumption is positively associated with risk of postmenopausal breast, colorectal, esophageal, head & neck and liver cancer. Consumption of dairy products, milk, calcium and wholegrains are inversely associated with colorectal cancer risk. Coffee consumption is inversely associated with risk of liver cancer and skin basal cell carcinoma.
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Affiliation(s)
- Nikos Papadimitriou
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Georgios Markozannes
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Afroditi Kanellopoulou
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Elena Critselis
- Proteomics Facility, Center for Systems Biology, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Sumayah Alhardan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Vaia Karafousia
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - John C Kasimis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Chrysavgi Katsaraki
- Proteomics Facility, Center for Systems Biology, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Areti Papadopoulou
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Maria Zografou
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - David S Lopez
- Department of Preventive Medicine and Population Health, University of Texas Medical Branch, Galveston, TX, USA
| | - Doris S M Chan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Maria Kyrgiou
- Department of Gut, Metabolism and Reproduction and Department of Surgery and Cancer, Institute of Reproductive and Developmental Biology, Faculty of Medicine, Imperial College London, London, UK
- West London Gynaecological Cancer Centre, Imperial College Healthcare NHS Trust, London, UK
| | - Evangelia Ntzani
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Center for Evidence-Based Medicine, Department of Health Services, Policy and Practice, School of Public Health, Brown University, Providence, RI, USA
| | - Amanda J Cross
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Cancer Screening and Prevention Research Group (CSPRG), Department of Surgery and Cancer, Imperial College London, London, UK
| | - Michael T Marrone
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
- Department of Urology and the James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Konstantinos K Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
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Hu Y, He J, Zheng P, Mao X, Huang Z, Yan H, Luo Y, Yu J, Luo J, Yu B, Chen D. Prebiotic inulin as a treatment of obesity related nonalcoholic fatty liver disease through gut microbiota: a critical review. Crit Rev Food Sci Nutr 2021; 63:862-872. [PMID: 34292103 DOI: 10.1080/10408398.2021.1955654] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The microbial-derived products, including short chain fatty acids, lipopolysaccharide and secondary bile acids, have been shown to participate in the regulation of hepatic lipid metabolism. Previous studies have demonstrated that prebiotics, such as oligosaccharide and inulin, have abilities to change the concentration of microbial-derived products through modulating the microbial community structure, thus controlling body weight and alleviating hepatic fat accumulation. However, recent evidence indicates that there are individual differences in host response upon inulin treatment due to the differences in host microbial composition before dietary intervention. Probably it is because of the multiple relationships among bacterial species (e.g., competition and mutualism), which play key roles in the degradation of inulin and the regulation of microbial structure. Thereby, analyzing the composition and function of initial gut microbiota is essential for improving the efficacy of prebiotics supplementation. Furthermore, considering that different structures of polysaccharides can be used by different microorganisms, the chemical structure of processed inulin should be tested before using prebiotic inulin to treat obesity related nonalcoholic fatty liver disease.
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Affiliation(s)
- Yaolian Hu
- Key laboratory of Animal Disease-resistant Nutrition, Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Yaan, People's Republic of China
| | - Jun He
- Key laboratory of Animal Disease-resistant Nutrition, Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Yaan, People's Republic of China
| | - Ping Zheng
- Key laboratory of Animal Disease-resistant Nutrition, Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Yaan, People's Republic of China
| | - Xiangbing Mao
- Key laboratory of Animal Disease-resistant Nutrition, Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Yaan, People's Republic of China
| | - Zhiqing Huang
- Key laboratory of Animal Disease-resistant Nutrition, Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Yaan, People's Republic of China
| | - Hui Yan
- Key laboratory of Animal Disease-resistant Nutrition, Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Yaan, People's Republic of China
| | - Yuheng Luo
- Key laboratory of Animal Disease-resistant Nutrition, Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Yaan, People's Republic of China
| | - Jie Yu
- Key laboratory of Animal Disease-resistant Nutrition, Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Yaan, People's Republic of China
| | - Junqiu Luo
- Key laboratory of Animal Disease-resistant Nutrition, Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Yaan, People's Republic of China
| | - Bing Yu
- Key laboratory of Animal Disease-resistant Nutrition, Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Yaan, People's Republic of China
| | - Daiwen Chen
- Key laboratory of Animal Disease-resistant Nutrition, Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Yaan, People's Republic of China
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