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Connolly EL, Liu AH, Radavelli-Bagatini S, Shafaei A, Boyce MC, Wood LG, McCahon L, Koch H, Sim M, Hill CR, Parmenter BH, Bondonno NP, Devine A, Croft KD, Mithen R, Gan SK, Schultz CJ, Woodman RJ, Bondonno CP, Lewis JR, Hodgson JM, Blekkenhorst LC. Cruciferous vegetables lower blood pressure in adults with mildly elevated blood pressure in a randomized, controlled, crossover trial: the VEgetableS for vaScular hEaLth (VESSEL) study. BMC Med 2024; 22:353. [PMID: 39218859 PMCID: PMC11367748 DOI: 10.1186/s12916-024-03577-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 08/22/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Higher cruciferous vegetable intake is associated with lower cardiovascular disease risk in observational studies. The pathways involved remain uncertain. We aimed to determine whether cruciferous vegetable intake (active) lowers 24-h brachial systolic blood pressure (SBP; primary outcome) compared to root and squash vegetables (control) in Australian adults with mildly elevated BP (SBP 120-160 mmHg inclusive). METHODS In this randomized, controlled, crossover trial, participants completed two 2-week dietary interventions separated by a 2-week washout. Cruciferous vegetables were compared to root and squash vegetables (~ 300 g/day) consumed with lunch and dinner meals. Participants were blinded to which interventions were the active and control. Adherence was assessed using food diaries and biomarkers (S-methyl cysteine sulfoxide (SMCSO, active) and carotenoids (control)). Twenty-four-hour brachial ambulatory SBP and secondary outcomes were assessed pre- and post each intervention. Differences were tested using linear mixed effects regression. RESULTS Eighteen participants were recruited (median (IQR) age: 68 (66-70); female: n = 16/18; mean ± SD clinic SBP: 135.9 ± 10.0 mmHg). For both interventions, 72% participants had 100% adherence (IQR: 96.4-100%). SMCSO and carotenoids were significantly different between interventions (mean difference active vs. control SMCSO: 22.93 mg/mL, 95%CI 15.62, 30.23, P < 0.0001; carotenoids: - 0.974 mg/mL, 95%CI - 1.525, - 0.423, P = 0.001). Twenty-four-hour brachial SBP was significantly reduced following the active vs. control (mean difference - 2.5 mmHg, 95%CI - 4.2, - 0.9, P = 0.002; active pre: 126.8 ± 12.6 mmHg, post: 124.4 ± 11.8 mmHg; control pre: 125.5 ± 12.1 mmHg, post: 124.8 ± 13.1 mmHg, n = 17), driven by daytime SBP (mean difference - 3.6 mmHg, 95%CI - 5.4, - 1.7, P < 0.001). Serum triglycerides were significantly lower following the active vs. control (mean difference - 0.2 mmol/L, 95%CI - 0.4, - 0.0, P = 0.047). CONCLUSIONS Increased intake of cruciferous vegetables resulted in reduced SBP compared to root and squash vegetables. Future research is needed to determine whether targeted recommendations for increasing cruciferous vegetable intake benefits population health. TRIAL REGISTRATION Clinical trial registry ACTRN12619001294145. https://www.anzctr.org.au.
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Affiliation(s)
- Emma L Connolly
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Royal Perth Hospital Research Foundation, Edith Cowan University, Perth, WA, Australia
| | - Alex H Liu
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Royal Perth Hospital Research Foundation, Edith Cowan University, Perth, WA, Australia
| | - Simone Radavelli-Bagatini
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Royal Perth Hospital Research Foundation, Edith Cowan University, Perth, WA, Australia
| | - Armaghan Shafaei
- Centre for Integrative Metabolomics and Computational Biology, School of Science, Edith Cowan University, Joondalup, WA, Australia
| | - Mary C Boyce
- School of Science, Edith Cowan University, Joondalup, WA, Australia
| | - Lisa G Wood
- School of Biomedical Science and Pharmacy, New Lambton Heights, University of Newcastle, NSW, Australia
| | - Lyn McCahon
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Royal Perth Hospital Research Foundation, Edith Cowan University, Perth, WA, Australia
| | - Henrietta Koch
- School of Biomedical Sciences, Royal Perth Hospital Unit, University of Western Australia, Perth, WA, Australia
| | - Marc Sim
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Royal Perth Hospital Research Foundation, Edith Cowan University, Perth, WA, Australia
- Medical School, University of Western Australia, Perth, WA, Australia
| | - Caroline R Hill
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Royal Perth Hospital Research Foundation, Edith Cowan University, Perth, WA, Australia
| | - Benjamin H Parmenter
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Royal Perth Hospital Research Foundation, Edith Cowan University, Perth, WA, Australia
| | - Nicola P Bondonno
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Royal Perth Hospital Research Foundation, Edith Cowan University, Perth, WA, Australia
- The Danish Cancer Institute, Copenhagen, Denmark
| | - Amanda Devine
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Royal Perth Hospital Research Foundation, Edith Cowan University, Perth, WA, Australia
| | - Kevin D Croft
- School of Biomedical Sciences, Royal Perth Hospital Unit, University of Western Australia, Perth, WA, Australia
| | - Richard Mithen
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Seng Khee Gan
- Medical School, University of Western Australia, Perth, WA, Australia
- Department of Endocrinology and Diabetes, Royal Perth Hospital, Perth, WA, Australia
| | - Carl J Schultz
- Medical School, University of Western Australia, Perth, WA, Australia
- Department of Cardiology, Royal Perth Hospital, Perth, WA, Australia
| | - Richard J Woodman
- Flinders Health and Medical Research Institute, Flinders University, Adelaide, SA, Australia
| | - Catherine P Bondonno
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Royal Perth Hospital Research Foundation, Edith Cowan University, Perth, WA, Australia
- Medical School, University of Western Australia, Perth, WA, Australia
| | - Joshua R Lewis
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Royal Perth Hospital Research Foundation, Edith Cowan University, Perth, WA, Australia
- Medical School, University of Western Australia, Perth, WA, Australia
- Centre for Kidney Research, Children's Hospital at Westmead, School of Public Health, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia
| | - Jonathan M Hodgson
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Royal Perth Hospital Research Foundation, Edith Cowan University, Perth, WA, Australia
- Medical School, University of Western Australia, Perth, WA, Australia
| | - Lauren C Blekkenhorst
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Royal Perth Hospital Research Foundation, Edith Cowan University, Perth, WA, Australia.
- Medical School, University of Western Australia, Perth, WA, Australia.
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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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3
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Bouranis JA, Ren Y, Beaver LM, Choi J, Wong CP, He L, Traber MG, Kelly J, Booth SL, Stevens JF, Fern XZ, Ho E. Identification of biological signatures of cruciferous vegetable consumption utilizing machine learning-based global untargeted stable isotope traced metabolomics. Front Nutr 2024; 11:1390223. [PMID: 39021604 PMCID: PMC11253721 DOI: 10.3389/fnut.2024.1390223] [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: 02/22/2024] [Accepted: 06/21/2024] [Indexed: 07/20/2024] Open
Abstract
In recent years there has been increased interest in identifying biological signatures of food consumption for use as biomarkers. Traditional metabolomics-based biomarker discovery approaches rely on multivariate statistics which cannot differentiate between host- and food-derived compounds, thus novel approaches to biomarker discovery are required to advance the field. To this aim, we have developed a new method that combines global untargeted stable isotope traced metabolomics and a machine learning approach to identify biological signatures of cruciferous vegetable consumption. Participants consumed a single serving of broccoli (n = 16), alfalfa sprouts (n = 16) or collard greens (n = 26) which contained either control unlabeled metabolites, or that were grown in the presence of deuterium-labeled water to intrinsically label metabolites. Mass spectrometry analysis indicated 133 metabolites in broccoli sprouts and 139 metabolites in the alfalfa sprouts were labeled with deuterium isotopes. Urine and plasma were collected and analyzed using untargeted metabolomics on an AB SCIEX TripleTOF 5,600 mass spectrometer. Global untargeted stable isotope tracing was completed using openly available software and a novel random forest machine learning based classifier. Among participants who consumed labeled broccoli sprouts or collard greens, 13 deuterium-incorporated metabolomic features were detected in urine representing 8 urine metabolites. Plasma was analyzed among collard green consumers and 11 labeled features were detected representing 5 plasma metabolites. These deuterium-labeled metabolites represent potential biological signatures of cruciferous vegetables consumption. Isoleucine, indole-3-acetic acid-N-O-glucuronide, dihydrosinapic acid were annotated as labeled compounds but other labeled metabolites could not be annotated. This work presents a novel framework for identifying biological signatures of food consumption for biomarker discovery. Additionally, this work presents novel applications of metabolomics and machine learning in the life sciences.
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Affiliation(s)
- John A. Bouranis
- School of Nutrition and Public Health, Oregon State University, Corvallis, OR, United States
- Linus Pauling Institute, Oregon State University, Corvallis, OR, United States
| | - Yijie Ren
- Department of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, United States
| | - Laura M. Beaver
- School of Nutrition and Public Health, Oregon State University, Corvallis, OR, United States
- Linus Pauling Institute, Oregon State University, Corvallis, OR, United States
| | - Jaewoo Choi
- Linus Pauling Institute, Oregon State University, Corvallis, OR, United States
| | - Carmen P. Wong
- School of Nutrition and Public Health, Oregon State University, Corvallis, OR, United States
- Linus Pauling Institute, Oregon State University, Corvallis, OR, United States
| | - Lily He
- Linus Pauling Institute, Oregon State University, Corvallis, OR, United States
| | - Maret G. Traber
- School of Nutrition and Public Health, Oregon State University, Corvallis, OR, United States
- Linus Pauling Institute, Oregon State University, Corvallis, OR, United States
| | - Jennifer Kelly
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States
| | - Sarah L. Booth
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States
| | - Jan F. Stevens
- Linus Pauling Institute, Oregon State University, Corvallis, OR, United States
- Department of Pharmaceutical Sciences, Oregon State University, Corvallis, OR, United States
| | - Xiaoli Z. Fern
- Department of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, United States
| | - Emily Ho
- School of Nutrition and Public Health, Oregon State University, Corvallis, OR, United States
- Linus Pauling Institute, Oregon State University, Corvallis, OR, United States
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Padmanabhan Nair Sobha R, Jensen CT, Waters R, Calimano-Ramirez LF, Virarkar MK. Appendiceal Neuroendocrine Neoplasms: A Comprehensive Review. J Comput Assist Tomogr 2024; 48:545-562. [PMID: 37574653 DOI: 10.1097/rct.0000000000001528] [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: 08/15/2023]
Abstract
ABSTRACT Appendiceal neuroendocrine neoplasm (NEN) is the most common adult appendiceal malignant tumor, constituting 16% of gastrointestinal NENs. They are versatile tumors with varying morphology, immunohistochemistry, secretory properties, and cancer genomics. They are slow growing and clinically silent, to begin with, or present with features of nonspecific vague abdominal pain. Most acute presentations are attributed clinically to appendicitis, with most cases detected incidentally on pathology after an appendectomy. Approximately 40% of them present clinically with features of hormonal excess, which is likened to the functional secretory nature of their parent cell of origin. The symptoms of carcinoid syndrome render their presence clinically evident. However, slow growing and symptomatically silent in its initial stages, high-grade neuroendocrine tumors and neuroendocrine carcinomas of the appendix are aggressive and usually have hepatic and lymph node metastasis at presentation. This review article focuses on imaging characteristics, World Health Organization histopathological classification and grading, American Joint Committee on Cancer/Union or International Cancer Control, European Neuroendocrine Tumor Society staging, European Neuroendocrine Tumor Society standardized guidelines for reporting, data interpretation, early-stage management protocols, and advanced-stage appendiceal NENs. Guidelines are also set for the follow-up and reassessment. The role of targeted radiotherapy, chemotherapy, and high-dose somatostatin analogs in treating advanced disease are discussed, along with types of ablative therapies and liver transplantation for tumor recurrence. The search for newer location-specific biomarkers in NEN is also summarized. Regarding the varying aggressiveness of the tumor, there is a scope for research in the field, with plenty of data yet to be discovered.
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Affiliation(s)
| | - Corey T Jensen
- From the Department of Radiology, University of Texas MD Anderson Cancer Center
| | - Rebecca Waters
- Department of Pathology and Lab Medicine MD Anderson Cancer Center, Houston, TX
| | | | - Mayur K Virarkar
- Department of Radiology, University of Florida College of Medicine, Jacksonville, FL
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Hill CR, Haoci Liu A, McCahon L, Zhong L, Shafaei A, Balmer L, Lewis JR, Hodgson JM, Blekkenhorst LC. S-methyl cysteine sulfoxide and its potential role in human health: a scoping review. Crit Rev Food Sci Nutr 2023:1-14. [PMID: 37819533 DOI: 10.1080/10408398.2023.2267133] [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: 10/13/2023]
Abstract
Higher intakes of cruciferous and allium vegetables are associated with a lower risk of cardiometabolic-related outcomes in observational studies. Whilst acknowledging the many healthy compounds within these vegetables, animal studies indicate that some of these beneficial effects may be partially mediated by S-methyl cysteine sulfoxide (SMCSO), a sulfur-rich, non-protein, amino acid found almost exclusively within cruciferous and alliums. This scoping review explores evidence for SMCSO, its potential roles in human health and possible mechanistic action. After systematically searching several databases (EMBASE, MEDLINE, SCOPUS, CINAHL Plus Full Text, Agricultural Science), we identified 21 original research articles meeting our inclusion criteria. These were limited primarily to animal and in vitro models, with 14/21 (67%) indicating favorable anti-hyperglycemic, anti-hypercholesterolemic, and antioxidant properties. Potential mechanisms included increased bile acid and sterol excretion, altered glucose- and cholesterol-related enzymes, and improved hepatic and pancreatic β-cell function. Raising antioxidant defenses may help mitigate the oxidative damage observed in these pathologies. Anticancer and antibacterial effects were also explored, along with one steroidogenic study. SMCSO is frequently overlooked as a potential mediator to the benefits of sulfur-rich vegetables. More research into the health benefits of SMCSO, especially for cardiometabolic and inflammatory-based pathology, is warranted. Human studies are especially needed.
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Affiliation(s)
- Caroline R Hill
- Nutrition and Health Innovation Research Institute, School of Medical and Health Science, Edith Cowan University, Royal Perth Hospital Research Foundation, Perth, Western Australia, Australia
| | - Alex Haoci Liu
- Nutrition and Health Innovation Research Institute, School of Medical and Health Science, Edith Cowan University, Royal Perth Hospital Research Foundation, Perth, Western Australia, Australia
- Medical School, The University of Western Australia, Perth, Western Australia, Australia
| | - Lyn McCahon
- Nutrition and Health Innovation Research Institute, School of Medical and Health Science, Edith Cowan University, Royal Perth Hospital Research Foundation, Perth, Western Australia, Australia
| | - Liezhou Zhong
- Nutrition and Health Innovation Research Institute, School of Medical and Health Science, Edith Cowan University, Royal Perth Hospital Research Foundation, Perth, Western Australia, Australia
| | - Armaghan Shafaei
- Centre for Integrative Metabolomics and Computational Biology, School of Science, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Lois Balmer
- Centre for Precision Health, School of Medical and Health Science, Edith Cowan University, Joondalup, Western Australia, Australia
- Centre for Diabetes Research, Harry Perkins Institute of Medical Research, The University of Western Australia, Nedlands, Western Australia, Australia
| | - Joshua R Lewis
- Nutrition and Health Innovation Research Institute, School of Medical and Health Science, Edith Cowan University, Royal Perth Hospital Research Foundation, Perth, Western Australia, Australia
- Medical School, The University of Western Australia, Perth, Western Australia, Australia
- Centre for Kidney Research, Children's Hospital at Westmead School of Public Health, Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia
| | - Jonathan M Hodgson
- Nutrition and Health Innovation Research Institute, School of Medical and Health Science, Edith Cowan University, Royal Perth Hospital Research Foundation, Perth, Western Australia, Australia
- Medical School, The University of Western Australia, Perth, Western Australia, Australia
| | - Lauren C Blekkenhorst
- Nutrition and Health Innovation Research Institute, School of Medical and Health Science, Edith Cowan University, Royal Perth Hospital Research Foundation, Perth, Western Australia, Australia
- Medical School, The University of Western Australia, Perth, Western Australia, Australia
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McNamara AE, Yin X, Collins C, Brennan L. Metabolomic based approach to identify biomarkers of broccoli intake. Food Funct 2023; 14:8586-8596. [PMID: 37665045 PMCID: PMC10508089 DOI: 10.1039/d2fo03988e] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 08/27/2023] [Indexed: 09/05/2023]
Abstract
It is well-established that consumption of cruciferous and brassica vegetables has a correlation with reduced rates of many negative health outcomes. There is an increased interest in identifying food intake biomarkers to address limitations related to self-reported dietary assessment. The study aims to identify biomarkers of broccoli intake using metabolomic approaches, examine the dose-response relationship, and predict the intake by multimarker panel. Eighteen volunteers consumed cooked broccoli in A-Diet Discovery study and fasting and postprandial urine samples were collected at 2, 4 and 24 hours. Subsequently the A-Diet Dose-response study was performed where volunteers consumed different portions of broccoli (49, 101 or 153 g) and urine samples were collected at the end of each intervention week. Urine samples were analysed by 1H-NMR and LC-MS. Multivariate data analysis and one-way ANOVA were performed to identify discriminating biomarkers. A panel of putative biomarkers was examined for its ability to predict intake through a multiMarker model. Multivariate analysis revealed discriminatory spectral regions between fasting and fed metabolic profiles. Subsequent time-series plots revealed multiple features increased in concentration following the consumption. Urinary S-methyl cysteine sulfoxide (SMCSO) increased as broccoli intake increased (0.17-0.24 μM per mOSM per kg, p < 0.001). Similarly from LC-MS data genipin, dihydro-β-tubaic acid and sinapic acid increased with increasing portions of intake. A panel of 8 features displayed good ability to predict intake from biomarker data only. In conclusion, urinary SMCSO and several LC-MS features appeared as potentially promising biomarkers of broccoli consumption and demonstrated dose-response relationship. Future work should focus on validating these compounds as food intake biomarkers.
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Affiliation(s)
- Aoife E McNamara
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.
- UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland
| | - Xiaofei Yin
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.
- UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland
| | - Cassandra Collins
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.
- UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland
| | - Lorraine Brennan
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.
- UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland
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van Steenwijk HP, Winter E, Knaven E, Brouwers JF, van Baardwijk M, van Dalum JB, Luijendijk TJC, van Osch FHM, Troost FJ, Bast A, Semen KO, de Boer A. The beneficial effect of sulforaphane on platelet responsiveness during caloric load: a single-intake, double-blind, placebo-controlled, crossover trial in healthy participants. Front Nutr 2023; 10:1204561. [PMID: 37485383 PMCID: PMC10359317 DOI: 10.3389/fnut.2023.1204561] [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: 04/12/2023] [Accepted: 06/15/2023] [Indexed: 07/25/2023] Open
Abstract
Background and aims As our understanding of platelet activation in response to infections and/or inflammatory conditions is growing, it is becoming clearer that safe, yet efficacious, platelet-targeted phytochemicals could improve public health beyond the field of cardiovascular diseases. The phytonutrient sulforaphane shows promise for clinical use due to its effect on inflammatory pathways, favorable pharmacokinetic profile, and high bioavailability. The potential of sulforaphane to improve platelet functionality in impaired metabolic processes has however hardly been studied in humans. This study investigated the effects of broccoli sprout consumption, as a source of sulforaphane, on urinary 11-dehydro-thromboxane B2 (TXB2), a stable thromboxane metabolite used to monitor eicosanoid biosynthesis and response to antithrombotic therapy, in healthy participants exposed to caloric overload. Methods In this double-blind, placebo-controlled, crossover trial 12 healthy participants were administered 16g of broccoli sprouts, or pea sprouts (placebo) followed by the standardized high-caloric drink PhenFlex given to challenge healthy homeostasis. Urine samples were collected during the study visits and analyzed for 11-dehydro-TXB2, sulforaphane and its metabolites. Genotyping was performed using Illumina GSA v3.0 DTCBooster. Results Administration of broccoli sprouts before the caloric load reduced urinary 11-dehydro-TXB2 levels by 50% (p = 0.018). The amount of sulforaphane excreted in the urine during the study visits correlated negatively with 11-dehydro-TXB2 (rs = -0.377, p = 0.025). Participants carrying the polymorphic variant NAD(P)H dehydrogenase quinone 1 (NQO1*2) showed decreased excretion of sulforaphane (p = 0.035). Conclusion Sulforaphane was shown to be effective in targeting platelet responsiveness after a single intake. Our results indicate an inverse causal relationship between sulforaphane and 11-dehydro-TXB2, which is unaffected by the concomitant intake of the metabolic challenge. 11-Dehydro-TXB2 shows promise as a non-invasive, sensitive, and suitable biomarker to investigate the effects of phytonutrients on platelet aggregation within hours. Clinical trial registration [https://clinicaltrials.gov/], identifier [NCT05146804].
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Affiliation(s)
- Hidde P. van Steenwijk
- Food Claims Centre Venlo, Faculty of Science and Engineering, Maastricht University, Maastricht, Netherlands
| | - Evi Winter
- Food Claims Centre Venlo, Faculty of Science and Engineering, Maastricht University, Maastricht, Netherlands
| | - Edward Knaven
- Research Group Analysis Techniques in the Life Sciences, Avans University of Applied Sciences, Breda, Netherlands
| | - Jos F. Brouwers
- Research Group Analysis Techniques in the Life Sciences, Avans University of Applied Sciences, Breda, Netherlands
| | - Myrthe van Baardwijk
- Omnigen B.V., Delft, Netherlands
- Department of Pathology and Clinical Bioinformatics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | | | | | - Frits H. M. van Osch
- Department of Clinical Epidemiology, VieCuri Medical Center, Venlo, Netherlands
- Department of Epidemiology, NUTRIM, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Freddy J. Troost
- Division of Gastroenterology-Hepatology, Department of Internal Medicine, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Maastricht, Netherlands
- Food Innovation and Health, Centre for Healthy Eating and Food Innovation, Maastricht University, Maastricht, Netherlands
| | - Aalt Bast
- University College Venlo, Faculty of Science and Engineering, Maastricht University, Maastricht, Netherlands
- Department of Pharmacology and Toxicology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Khrystyna O. Semen
- University College Venlo, Faculty of Science and Engineering, Maastricht University, Maastricht, Netherlands
| | - Alie de Boer
- Food Claims Centre Venlo, Faculty of Science and Engineering, Maastricht University, Maastricht, Netherlands
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Moreno-Ortega A, Pereira-Caro G, Ludwig IA, Motilva MJ, Moreno-Rojas JM. Bioavailability of Organosulfur Compounds after the Ingestion of Black Garlic by Healthy Humans. Antioxidants (Basel) 2023; 12:antiox12040925. [PMID: 37107300 PMCID: PMC10135770 DOI: 10.3390/antiox12040925] [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: 03/13/2023] [Revised: 04/03/2023] [Accepted: 04/11/2023] [Indexed: 04/29/2023] Open
Abstract
The consumption of black garlic has been related to a decreased risk of many human diseases due to the presence of phytochemicals such as organosulfur compounds (OSCs). However, information on the metabolization of these compounds in humans is limited. By means of ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS), this study aims to determine the OSCs and their metabolites excreted in urine 24 h after an acute intake of 20 g of black garlic by healthy humans. Thirty-three OSCs were identified and quantified, methiin (17,954 ± 6040 nmol), isoalliin (15,001 ± 9241 nmol), S-(2-carboxypropyl)-L-cysteine (8804 ± 7220 nmol) and S-propyl-L-cysteine (deoxypropiin) (7035 ± 1392 nmol) being the main ones. Also detected were the metabolites N-acetyl-S-allyl-L-cysteine (NASAC), N-acetyl-S-allyl-L-cysteine sulfoxide (NASACS) and N-acetyl-S-(2-carboxypropyl)-L-cysteine (NACPC), derived from S-allyl-L-cysteine (SAC), alliin and S-(2-carboxypropyl)-L-cysteine, respectively. These compounds are potentially N-acetylated in the liver and kidney. The total excretion of OSCs 24 h after the ingestion of black garlic was 64,312 ± 26,584 nmol. A tentative metabolic pathway has been proposed for OSCs in humans.
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Affiliation(s)
- Alicia Moreno-Ortega
- Department of Agroindustry and Food Quality, Andalusian Institute of Agricultural and Fisheries Research and Training (IFAPA), Alameda del Obispo, Avda. Menéndez-Pidal, 14004 Córdoba, Spain
- Foods for Health Group, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004 Córdoba, Spain
| | - Gema Pereira-Caro
- Department of Agroindustry and Food Quality, Andalusian Institute of Agricultural and Fisheries Research and Training (IFAPA), Alameda del Obispo, Avda. Menéndez-Pidal, 14004 Córdoba, Spain
- Foods for Health Group, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004 Córdoba, Spain
| | - Iziar A Ludwig
- Agrotecnio Center, XaRTA-TPV, Food Technology Department, Escola Tècnica Superior d'Enginyeria Agrària, University of Lleida, Avda. Alcalde Rovira Roure 191, 25198 Catalonia, Spain
| | - María-José Motilva
- Agrotecnio Center, XaRTA-TPV, Food Technology Department, Escola Tècnica Superior d'Enginyeria Agrària, University of Lleida, Avda. Alcalde Rovira Roure 191, 25198 Catalonia, Spain
| | - José Manuel Moreno-Rojas
- Department of Agroindustry and Food Quality, Andalusian Institute of Agricultural and Fisheries Research and Training (IFAPA), Alameda del Obispo, Avda. Menéndez-Pidal, 14004 Córdoba, Spain
- Foods for Health Group, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004 Córdoba, Spain
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9
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Dhillon J, Newman JW, Fiehn O, Ortiz RM. Almond Consumption for 8 Weeks Altered Host and Microbial Metabolism in Comparison to a Control Snack in Young Adults. JOURNAL OF THE AMERICAN NUTRITION ASSOCIATION 2023; 42:242-254. [PMID: 35512761 PMCID: PMC9396742 DOI: 10.1080/07315724.2021.2025168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 12/10/2021] [Accepted: 12/29/2021] [Indexed: 10/19/2022]
Abstract
Almond consumption can improve cardiometabolic (CM) health. However, the mechanisms underlying those benefits are not well characterized. This study explored the effects of consuming a snack of almonds vs. crackers for 8 weeks on changes in metabolomic profiles in young adults (clinicaltrials.gov ID: NCT03084003). Participants (n = 73, age: 18-19 years, BMI: 18-41 kg/m2) were randomly assigned to consume either almonds (2 oz/d, n = 38) or an isocaloric control snack of graham crackers (325 kcal/d, n = 35) daily for 8 weeks. Blood samples were collected at baseline prior to and at 4 and 8 weeks after the intervention. Metabolite abundances in the serum were quantified by hydrophilic interaction chromatography quadrupole (Q) time-of-flight (TOF) mass spectrometry (MS/MS), gas chromatography (GC) TOF MS, CSH-ESI (electrospray) QTOF MS/MS, and targeted analyses for free PUFAs, total fatty acids, oxylipins and endocannabinoids. Linear mixed model analyses with baseline-adjustment were conducted, and those results were used for enrichment and network analyses. Microbial community pathway predictions from 16S rRNA sequencing of fecal samples was done using PICRUST2. Almond consumption enriched unsaturated triglycerides, unsaturated phosphatidylcholines, saturated and unsaturated lysophosphatidylcholines, tricarboxylic acids, and tocopherol clusters (p < 0.05). Targeted analyses reveal lower levels of omega-3 total fatty acids (TFAs) overall in the almond group compared to the cracker group (p < 0.05). Microbial amino acid biosynthesis, and amino sugar and nucleotide sugar metabolism pathways were also differentially enriched at the end of the intervention (p < 0.05). The study demonstrates the differential effects of almonds on host tocopherol, lipid, and TCA cycle metabolism with potential changes in microbial metabolism, which may interact with host metabolism to facilitate the CM benefits.
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Affiliation(s)
- Jaapna Dhillon
- Department of Nutrition and Exercise Physiology, University of Missouri, Columbia
- Department of Molecular and Cell Biology, University of California, Merced
| | - John W. Newman
- West Coast Metabolomics Center, Genome Center, University of California Davis, Davis CA, USA
- Department of Nutrition, University of California, Davis
- Obesity and Metabolism Research Unit, USDA-Agricultural Research Service Western Human Nutrition Research Center, University of California, Davis
| | - Oliver Fiehn
- West Coast Metabolomics Center, Genome Center, University of California Davis, Davis CA, USA
| | - Rudy M. Ortiz
- Department of Molecular and Cell Biology, University of California, Merced
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10
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Ingallina C, Di Matteo G, Spano M, Acciaro E, Campiglia E, Mannina L, Sobolev AP. Byproducts of Globe Artichoke and Cauliflower Production as a New Source of Bioactive Compounds in the Green Economy Perspective: An NMR Study. Molecules 2023; 28:molecules28031363. [PMID: 36771031 PMCID: PMC9919138 DOI: 10.3390/molecules28031363] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 01/25/2023] [Accepted: 01/26/2023] [Indexed: 02/04/2023] Open
Abstract
The recovery of bioactive compounds from crop byproducts leads to a new perspective way of waste reutilization as a part of the circular economy. The present study aimed at an exhaustive metabolite profile characterization of globe artichoke and cauliflower byproducts (leaves, stalks, and florets for cauliflower only) as a prerequisite for their valorization and future implementations. The metabolite profile of aqueous and organic extracts of byproducts was analyzed using the NMR-based metabolomics approach. Free amino acids, organic acids, sugars, polyols, polyphenols, amines, glucosinolates, fatty acids, phospho- and galactolipids, sterols, and sesquiterpene lactones were identified and quantified. In particular, globe artichoke byproducts are a source of health-beneficial compounds including chiro-inositol (up to 10.1 mg/g), scyllo-inositol (up to 1.8 mg/g), sesquiterpene lactones (cynaropicrin, grosheimin, dehydrocynaropicrin, up to 45.5 mg/g in total), inulins, and chlorogenic acid (up to 7.5 mg/g), whereas cauliflower byproducts enclose bioactive sulfur-containing compounds S-methyl-L-cysteine S-oxide (methiin, up to 20.7 mg/g) and glucosinolates. A variable content of all metabolites was observed depending on the crop type (globe artichoke vs. cauliflower) and the plant part (leaves vs. stalks). The results here reported can be potentially used in different ways, including the formulation of new plant biostimulants and food supplements.
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Affiliation(s)
- Cinzia Ingallina
- Food Chemistry Lab, Department of Chemistry and Technology of Drugs, Sapienza University of Rome, P. le Aldo Moro 5, 00185 Rome, Italy
| | - Giacomo Di Matteo
- Food Chemistry Lab, Department of Chemistry and Technology of Drugs, Sapienza University of Rome, P. le Aldo Moro 5, 00185 Rome, Italy
| | - Mattia Spano
- Food Chemistry Lab, Department of Chemistry and Technology of Drugs, Sapienza University of Rome, P. le Aldo Moro 5, 00185 Rome, Italy
| | - Erica Acciaro
- “Annalaura Segre” Magnetic Resonance Laboratory, Institute for Biological Systems, CNR, Via Salaria, Km 29,300, 00015 Monterotondo, Italy
| | - Enio Campiglia
- Department of Agricultural and Forest Sciences, University of Tuscia, Via San Camillo de Lellis, snc, 01100 Viterbo, Italy
| | - Luisa Mannina
- Food Chemistry Lab, Department of Chemistry and Technology of Drugs, Sapienza University of Rome, P. le Aldo Moro 5, 00185 Rome, Italy
| | - Anatoly Petrovich Sobolev
- “Annalaura Segre” Magnetic Resonance Laboratory, Institute for Biological Systems, CNR, Via Salaria, Km 29,300, 00015 Monterotondo, Italy
- Correspondence:
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11
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Brachem C, Oluwagbemigun K, Langenau J, Weinhold L, Alexy U, Schmid M, Nöthlings U. Exploring the association between habitual food intake and the urine and blood metabolome in adolescents and young adults: a cohort study. Mol Nutr Food Res 2022; 66:e2200023. [PMID: 35785518 DOI: 10.1002/mnfr.202200023] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 05/08/2022] [Indexed: 11/07/2022]
Abstract
SCOPE Habitual diet may be reflected in metabolite profiles that can improve accurate assessment of dietary exposure and further enhance our understanding of their link to health conditions. We aimed to explore the relationship of habitual food intake with blood and urine metabolites in adolescents and young adults. METHODS The study population comprised 228 participants (94 male and 134 female) of the DONALD study. Dietary intake was assessed by yearly repeated 3d-food records. Habitual diet was estimated as the average consumption of 23 food groups in adolescence. Using an untargeted metabolomics approach, we quantified 2638 metabolites in plasma and 1407 metabolites in urine. In each sex, we determined unique diet-metabolite associations using orthogonal projection to latent structures (oPLS) and random forests (RF). RESULTS We observed 6 metabolites in agreement between oPLS and RF in urine, 1 in females (vanillylmandelate to processed/ other meat) and 5 in males (indole-3-acetamide, and N6-methyladenosine to eggs; hippurate, citraconate/glutaconate, and X - 12111 to vegetables). We observed no association in blood in agreement. CONCLUSION We observed a limited reflection of habitual food group intake by single metabolites in urine and not in blood. The explored biomarkers should be confirmed in additional studies. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Christian Brachem
- Nutritional Epidemiology, Department of Nutrition and Food Sciences, Rheinische Friedrich-Wilhelms-University Bonn, 53115, Bonn, Germany
| | - Kolade Oluwagbemigun
- Nutritional Epidemiology, Department of Nutrition and Food Sciences, Rheinische Friedrich-Wilhelms-University Bonn, 53115, Bonn, Germany
| | - Julia Langenau
- Nutritional Epidemiology, Department of Nutrition and Food Sciences, Rheinische Friedrich-Wilhelms-University Bonn, 53115, Bonn, Germany
| | - Leonie Weinhold
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), University Hospital Bonn, 53127, Bonn, Germany
| | - Ute Alexy
- Nutritional Epidemiology, Department of Nutrition and Food Sciences, Rheinische Friedrich-Wilhelms-University Bonn, DONALD Study, Heinstück 11, 44225, Dortmund, Germany
| | - Matthias Schmid
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), University Hospital Bonn, 53127, Bonn, Germany
| | - Ute Nöthlings
- Nutritional Epidemiology, Department of Nutrition and Food Sciences, Rheinische Friedrich-Wilhelms-University Bonn, 53115, Bonn, Germany.,Nutritional Epidemiology, Department of Nutrition and Food Sciences, Rheinische Friedrich-Wilhelms-University Bonn, DONALD Study, Heinstück 11, 44225, Dortmund, Germany
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12
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Vadiveloo MK, Juul F, Sotos-Prieto M, Parekh N. Perspective: Novel Approaches to Evaluate Dietary Quality: Combining Methods to Enhance Measurement for Dietary Surveillance and Interventions. Adv Nutr 2022; 13:1009-1015. [PMID: 35084446 PMCID: PMC9340961 DOI: 10.1093/advances/nmac007] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 11/16/2021] [Accepted: 01/19/2022] [Indexed: 01/29/2023] Open
Abstract
Refining existing dietary assessment methods to reduce measurement error and facilitate the routine evaluation of dietary quality is essential to inform health policy. Notable advancements in technology in the past decade have enhanced the precision and transformation of dietary assessment methods with applications toward both population health and precision nutrition. Within population health, innovative applications of big data including use of automatically collected food purchasing data, quantitative measurement of food environments, and novel, yet simplified dietary quality metrics provide important complementary data to traditional self-report methods. Precision nutrition is similarly advancing with greater use of validated biomarkers for assessing dietary patterns and understanding individual variability in metabolism. Concurrently enhancing our understanding of diet-disease relations at the population health and precision nutrition levels provides tremendous potential to generate evidence needed to advance public health nutrition policy. This commentary highlights the importance of these advances toward progressing the field of dietary assessment and discusses the application of food purchasing data, data analytics, alternative dietary quality metrics, and -omics technology in population and clinical medicine.
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Affiliation(s)
| | - Filippa Juul
- Department of Public Health Policy and Management, School of Global Public Health, New York University, New York, NY, USA
| | - Mercedes Sotos-Prieto
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, and IdiPaz (Instituto de Investigación Sanitaria Hospital Universitario La Paz), Madrid, Spain,CIBERESP ("Centro de Investigacion Biomedica en Red" of Epidemiology and Public Health), Madrid, Spain,Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA,IMDEA-Food Institute, Campus of International Excellence (CEI), Universidad Autonoma de Madrid (UAM) + Spanish National Research Council (CSIC), Madrid, Spain
| | - Niyati Parekh
- Public Health Nutrition Program, School of Global Public Health, New York University, New York, NY, USA,Department of Population Health, Grossman School of Medicine, New York University, New York, NY, USA,Rory Meyers College of Nursing, New York University, New York, NY, USA
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13
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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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14
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Neequaye M, Stavnstrup S, Harwood W, Lawrenson T, Hundleby P, Irwin J, Troncoso-Rey P, Saha S, Traka MH, Mithen R, Østergaard L. CRISPR-Cas9-Mediated Gene Editing of MYB28 Genes Impair Glucoraphanin Accumulation of Brassica oleracea in the Field. CRISPR J 2021; 4:416-426. [PMID: 34152214 DOI: 10.1089/crispr.2021.0007] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Discoveries in model plants grown under optimal conditions can provide important directions for crop improvement. However, it is important to verify whether results can be translated to crop plants grown in the field. In this study, we sought to study the role of MYB28 in the regulation of aliphatic glucosinolate (A-GSL) biosynthesis and associated sulfur metabolism in field-grown Brassica oleracea with the use of Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-Cas9 gene-editing technology. We describe the first myb28 knockout mutant in B. oleracea, and the first CRISPR field trial in the United Kingdom approved and regulated by the UK Department for Environment, Food & Rural Affairs after the reclassification of gene-edited crops as genetically modified organisms by the European Court of Justice on July 25, 2018. We report that knocking out myb28 results in downregulation of A-GSL biosynthesis genes and reduction in accumulation of the methionine-derived glucosinolate, glucoraphanin, in leaves and florets of field-grown myb28 mutant broccoli plants, whereas accumulation of sulfate, S-methyl cysteine sulfoxide, and indole glucosinolate in leaf and floret tissues remained unchanged. These results demonstrate the potential of gene-editing approaches to translate discoveries in fundamental biological processes for improved crop performance.
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Affiliation(s)
- Mikhaela Neequaye
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom and Norwich Research Park, Norwich, United Kingdom.,Quadram Institute Bioscience, Norwich Research Park, Norwich, United Kingdom
| | - Sophia Stavnstrup
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom and Norwich Research Park, Norwich, United Kingdom
| | - Wendy Harwood
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom and Norwich Research Park, Norwich, United Kingdom
| | - Tom Lawrenson
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom and Norwich Research Park, Norwich, United Kingdom
| | - Penny Hundleby
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom and Norwich Research Park, Norwich, United Kingdom
| | - Judith Irwin
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom and Norwich Research Park, Norwich, United Kingdom
| | - Perla Troncoso-Rey
- Quadram Institute Bioscience, Norwich Research Park, Norwich, United Kingdom
| | - Shikha Saha
- Quadram Institute Bioscience, Norwich Research Park, Norwich, United Kingdom
| | - Maria H Traka
- Quadram Institute Bioscience, Norwich Research Park, Norwich, United Kingdom
| | - Richard Mithen
- Quadram Institute Bioscience, Norwich Research Park, Norwich, United Kingdom
| | - Lars Østergaard
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom and Norwich Research Park, Norwich, United Kingdom
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15
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Owen EJ, Patel S, Flannery O, Dew TP, O'Connor LM. Derivation and Validation of a Total Fruit and Vegetable Intake Prediction Model to Identify Targets for Biomarker Discovery Using the UK National Diet and Nutrition Survey. J Nutr 2021; 151:962-969. [PMID: 33484153 DOI: 10.1093/jn/nxaa406] [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: 08/12/2020] [Revised: 10/21/2020] [Accepted: 11/23/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Dietary assessments in research and clinical settings are largely reliant on self-reported questionnaires. It is acknowledged that these are subject to measurement error and biases and that objective approaches would be beneficial. Dietary biomarkers have been purported as a complementary approach to improve the accuracy of dietary assessments. Tentative biomarkers have been identified for many individual fruits and vegetables (FVs), but an objective total FV intake assessment tool has not been established. OBJECTIVES To derive and validate a prediction model of total FV intake (TFVpred) to inform future biomarker studies. METHODS Data from the National Diet and Nutrition Survey (NDNS) were used for this analysis. A modeling group (MG) consisting of participants aged >11 years from the NDNS years 5-6 was created (n = 1746). Intake data for 96 FVs were analyzed by stepwise regression to derive a model that satisfied 3 selection criteria: SEE ≤80, R2 >0.7, and ≤10 predictors. The TFVpred model was validated using comparative data from a validation group (VG) created from the NDNS years 7-8 (n = 1865). Pearson's correlation coefficients were assessed between observed and predicted values in the MG and VG. Bland-Altman plots were used to assess agreement between TFVpred estimates and total FV intake. RESULTS A TFVpred model, comprised of tomatoes, apples, carrots, bananas, pears, strawberries, and onions, satisfied the selection criteria (R2 = 0.761; SEE = 78.81). Observed and predicted total FV intake values were positively correlated in the MG (r = 0.872; P < 0.001; R2 = 0.761) and the VG (r = 0.838; P < 0.001; R2 = 0.702). In the MG and VG, 95.0% and 94.9%, respectively, of TFVpred model residuals were within the limits of agreement. CONCLUSIONS Intakes of a concise FV list can be used to predict total FV intakes in a UK population. The individual FVs included in the TFVpred model present targets for biomarker discovery aimed at objectively assessing total FV intake.
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Affiliation(s)
- Elliot J Owen
- Department of Health Professions, Faculty of Health, Psychology and Social Care, Manchester Metropolitan University, Manchester, United Kingdom.,Future Food Beacon of Excellence, University of Nottingham, Sutton Bonington, United Kingdom
| | - Sumaiya Patel
- Department of Health Professions, Faculty of Health, Psychology and Social Care, Manchester Metropolitan University, Manchester, United Kingdom
| | - Orla Flannery
- Department of Health Professions, Faculty of Health, Psychology and Social Care, Manchester Metropolitan University, Manchester, United Kingdom
| | - Tristan P Dew
- Department of Health Professions, Faculty of Health, Psychology and Social Care, Manchester Metropolitan University, Manchester, United Kingdom.,Future Food Beacon of Excellence, University of Nottingham, Sutton Bonington, United Kingdom.,School of Biosciences, University of Nottingham, Sutton Bonington, United Kingdom
| | - Laura M O'Connor
- Department of Health Professions, Faculty of Health, Psychology and Social Care, Manchester Metropolitan University, Manchester, United Kingdom
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16
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Zhou X, Ulaszewska MM, De Gobba C, Rinnan Å, Poulsen MW, Chen J, Mattivi F, Hedegaard RV, Skibsted LH, Dragsted LO. New Advanced Glycation End Products Observed in Rat Urine by Untargeted Metabolomics after Feeding with Heat-Treated Skimmed Milk Powder. Mol Nutr Food Res 2021; 65:e2001049. [PMID: 33559951 DOI: 10.1002/mnfr.202001049] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Revised: 02/01/2021] [Indexed: 12/28/2022]
Abstract
SCOPE Milk powder is commonly consumed throughout the world. However, advanced glycation end products (AGEs) will form in milk powder during thermal processing and long-term storage. This study aimed to identify such compounds with potential as new urinary biomarkers of intake of heat-treated skimmed milk powder (HSMP). METHODS AND RESULTS A parallel study is performed with different dosages of HSMP as well as hydrolyzed HSMP and untreated skimmed milk powder (SMP) in 36 rats. The 24-h urine samples on day 7 or 8 are collected and profiled by untargeted UPLC-Qtof-MS metabolomics. Statistical analysis revealed 25 metabolites differentiating SMP and HSMP; nineteen of these structures are proposed as lysine- and arginine-derived AGEs, and heterocyclic compounds. CONCLUSION These metabolites may potentially serve as biomarkers of food intake pending further validation to assess intakes of heat-processed dairy foods and thus help to elucidate the effects of HSMP consumption or dietary AGEs on human health.
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Affiliation(s)
- Xiaomin Zhou
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, 1958, Denmark
| | - Maria M Ulaszewska
- Department of Food Quality and Nutrition, Fondazione Edmund Mach, Research and Innovation Centre, San Michele all'Adige, Italy
- Center for Omics Sciences, Proteomics and Metabolomics Facility - ProMeFa, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Cristian De Gobba
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, 1958, Denmark
- Department of Food Science, Faculty of Science, University of Copenhagen, Frederiksberg, 1958, Denmark
| | - Åsmund Rinnan
- Department of Food Science, Faculty of Science, University of Copenhagen, Frederiksberg, 1958, Denmark
| | - Malene W Poulsen
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, 1958, Denmark
| | - Jie Chen
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, China
| | - Fulvio Mattivi
- Department of Food Quality and Nutrition, Fondazione Edmund Mach, Research and Innovation Centre, San Michele all'Adige, Italy
- Department of Cellular, Computational, and Integrative Biology - CIBIO, University of Trento, Trento, Italy
| | - Rikke Vingborg Hedegaard
- Department of Food Science, Faculty of Science, University of Copenhagen, Frederiksberg, 1958, Denmark
| | - Leif Horsfelt Skibsted
- Department of Food Science, Faculty of Science, University of Copenhagen, Frederiksberg, 1958, Denmark
| | - Lars Ove Dragsted
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, 1958, Denmark
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17
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Neuroendocrine Neoplasms: Identification of Novel Metabolic Circuits of Potential Diagnostic Utility. Cancers (Basel) 2021; 13:cancers13030374. [PMID: 33498434 PMCID: PMC7864182 DOI: 10.3390/cancers13030374] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 01/01/2021] [Accepted: 01/14/2021] [Indexed: 01/14/2023] Open
Abstract
The incidence of neuroendocrine neoplasms (NEN) is increasing, but established biomarkers have poor diagnostic and prognostic accuracy. Here, we aim to define the systemic metabolic consequences of NEN and to establish the diagnostic utility of proton nuclear magnetic resonance spectroscopy (1H-NMR) for NEN in a prospective cohort of patients through a single-centre, prospective controlled observational study. Urine samples of 34 treatment-naïve NEN patients (median age: 59.3 years, range: 36-85): 18 had pancreatic (Pan) NEN, of which seven were functioning; 16 had small bowel (SB) NEN; 20 age- and sex-matched healthy control individuals were analysed using a 600 MHz Bruker 1H-NMR spectrometer. Orthogonal partial-least-squares-discriminant analysis models were able to discriminate both PanNEN and SBNEN patients from healthy control (Healthy vs. PanNEN: AUC = 0.90, Healthy vs. SBNEN: AUC = 0.90). Secondary metabolites of tryptophan, such as trigonelline and a niacin-related metabolite were also identified to be universally decreased in NEN patients, while upstream metabolites, such as kynurenine, were elevated in SBNEN. Hippurate, a gut-derived metabolite, was reduced in all patients, whereas other gut microbial co-metabolites, trimethylamine-N-oxide, 4-hydroxyphenylacetate and phenylacetylglutamine, were elevated in those with SBNEN. These findings suggest the existence of a new systems-based neuroendocrine circuit, regulated in part by cancer metabolism, neuroendocrine signalling molecules and gut microbial co-metabolism. Metabonomic profiling of NEN has diagnostic potential and could be used for discovering biomarkers for these tumours. These preliminary data require confirmation in a larger cohort.
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Beckmann M, Wilson T, Lloyd AJ, Torres D, Goios A, Willis ND, Lyons L, Phillips H, Mathers JC, Draper J. Challenges Associated With the Design and Deployment of Food Intake Urine Biomarker Technology for Assessment of Habitual Diet in Free-Living Individuals and Populations-A Perspective. Front Nutr 2020; 7:602515. [PMID: 33344495 PMCID: PMC7745244 DOI: 10.3389/fnut.2020.602515] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 10/29/2020] [Indexed: 12/27/2022] Open
Abstract
Improvement of diet at the population level is a cornerstone of national and international strategies for reducing chronic disease burden. A critical challenge in generating robust data on habitual dietary intake is accurate exposure assessment. Self-reporting instruments (e.g., food frequency questionnaires, dietary recall) are subject to reporting bias and serving size perceptions, while weighed dietary assessments are unfeasible in large-scale studies. However, secondary metabolites derived from individual foods/food groups and present in urine provide an opportunity to develop potential biomarkers of food intake (BFIs). Habitual dietary intake assessment in population surveys using biomarkers presents several challenges, including the need to develop affordable biofluid collection methods, acceptable to participants that allow collection of informative samples. Monitoring diet comprehensively using biomarkers requires analytical methods to quantify the structurally diverse mixture of target biomarkers, at a range of concentrations within urine. The present article provides a perspective on the challenges associated with the development of urine biomarker technology for monitoring diet exposure in free-living individuals with a view to its future deployment in "real world" situations. An observational study (n = 95), as part of a national survey on eating habits, provided an opportunity to explore biomarker measurement in a free-living population. In a second food intervention study (n = 15), individuals consumed a wide range of foods as a series of menus designed specifically to achieve exposure reflecting a diversity of foods commonly consumed in the UK, emulating normal eating patterns. First Morning Void urines were shown to be suitable samples for biomarker measurement. Triple quadrupole mass spectrometry, coupled with liquid chromatography, was used to assess simultaneously the behavior of a panel of 54 potential BFIs. This panel of chemically diverse biomarkers, reporting intake of a wide range of commonly-consumed foods, can be extended successfully as new biomarker leads are discovered. Towards validation, we demonstrate excellent discrimination of eating patterns and quantitative relationships between biomarker concentrations in urine and the intake of several foods. In conclusion, we believe that the integration of information from BFI technology and dietary self-reporting tools will expedite research on the complex interactions between dietary choices and health.
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Affiliation(s)
- Manfred Beckmann
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Thomas Wilson
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Amanda J. Lloyd
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Duarte Torres
- Faculty of Nutrition and Food Sciences, University of Porto, Porto, Portugal
- Epidemiology Research Unit (EPIUnit), Institute of Public Health, University of Porto, Porto, Portugal
| | - Ana Goios
- Faculty of Nutrition and Food Sciences, University of Porto, Porto, Portugal
- Epidemiology Research Unit (EPIUnit), Institute of Public Health, University of Porto, Porto, Portugal
| | - Naomi D. Willis
- Human Nutrition Research Centre, Population Health Sciences Institute, William Leech Building, Newcastle University, Newcastle-upon-Tyne, United Kingdom
| | - Laura Lyons
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Helen Phillips
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - John C. Mathers
- Human Nutrition Research Centre, Population Health Sciences Institute, William Leech Building, Newcastle University, Newcastle-upon-Tyne, United Kingdom
| | - John Draper
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
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19
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Sotos-Prieto M, Ruiz-Canela M, Song Y, Christophi C, Mofatt S, Rodriguez-Artalejo F, Kales SN. The Effects of a Mediterranean Diet Intervention on Targeted Plasma Metabolic Biomarkers among US Firefighters: A Pilot Cluster-Randomized Trial. Nutrients 2020; 12:E3610. [PMID: 33255353 PMCID: PMC7761450 DOI: 10.3390/nu12123610] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 11/12/2020] [Accepted: 11/18/2020] [Indexed: 02/07/2023] Open
Abstract
Metabolomics is improving the understanding of the mechanisms of the health effects of diet. Previous research has identified several metabolites associated with the Mediterranean Diet (MedDiet), but knowledge about longitudinal changes in metabolic biomarkers after a MedDiet intervention is scarce. A subsample of 48 firefighters from a cluster-randomized trial at Indianapolis fire stations was randomly selected for the metabolomics study at 12 months of follow up (time point 1), where Group 1 (n = 24) continued for another 6 months in a self-sustained MedDiet intervention, and Group 2 (n = 24), the control group at that time, started with an active MedDiet intervention for 6 months (time point 2). A total of 225 metabolites were assessed at the two time points by using a targeted NMR platform. The MedDiet score improved slightly but changes were non-significant (intervention: 24.2 vs. 26.0 points and control group: 26.1 vs. 26.5 points). The MedDiet intervention led to favorable changes in biomarkers related to lipid metabolism, including lower LDL-C, ApoB/ApoA1 ratio, remnant cholesterol, M-VLDL-CE; and higher HDL-C, and better lipoprotein composition. This MedDiet intervention induces only modest changes in adherence to the MedDiet and consequently in metabolic biomarkers. Further research should confirm these results based on larger study samples in workplace interventions with powerful study designs.
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Affiliation(s)
- Mercedes Sotos-Prieto
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, IdiPaz (Instituto de Investigación Sanitaria Hospital Universitario La Paz), Calle del Arzobispo Morcillo 4, 28029 Madrid, Spain;
- Biomedical Research Network Centre of Epidemiology and Public Health (CIBERESP), Carlos III Health Institute, 28029 Madrid, Spain
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; (C.C.); (S.N.K.)
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, 31009 Pamplona, Spain;
- Biomedical Research Network Centre for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
| | - Yiqing Song
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN 46202, USA;
| | - Costas Christophi
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; (C.C.); (S.N.K.)
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, 30 Archbishop Kyprianou Str., 3036 Lemesos, Cyprus
| | - Steven Mofatt
- National Institute for Public Safety Health, Indianapolis, IN 46204, USA;
| | - Fernando Rodriguez-Artalejo
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, IdiPaz (Instituto de Investigación Sanitaria Hospital Universitario La Paz), Calle del Arzobispo Morcillo 4, 28029 Madrid, Spain;
- Biomedical Research Network Centre of Epidemiology and Public Health (CIBERESP), Carlos III Health Institute, 28029 Madrid, Spain
- IMDEA-Food Institute, CEI UAM+CSIC, 28049 Madrid, Spain
| | - Stefanos N. Kales
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; (C.C.); (S.N.K.)
- Department of Occupational Medicine, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA 02145, USA
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20
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Abstract
Coronary artery disease (CAD), the most common cardiovascular disease (CVD), contributes to significant mortality worldwide. CAD is a multifactorial disease wherein various factors contribute to its pathogenesis often complicating management. Biomarker based personalized medicine may provide a more effective way to individualize therapy in multifactorial diseases in general and CAD specifically. Systems' biology "Omics" biomarkers have been investigated for this purpose. These biomarkers provide a more comprehensive understanding on pathophysiology of the disease process and can help in identifying new therapeutic targets and tailoring therapy to achieve optimum outcome. Metabolomics biomarkers usually reflect genetic and non-genetic factors involved in the phenotype. Metabolomics analysis may provide better understanding of the disease pathogenesis and drug response variation. This will help in guiding therapy, particularly for multifactorial diseases such as CAD. In this chapter, advances in metabolomics analysis and its role in personalized medicine will be reviewed with comprehensive focus on CAD. Assessment of risk, diagnosis, complications, drug response and nutritional therapy will be discussed. Together, this chapter will review the current application of metabolomics in CAD management and highlight areas that warrant further investigation.
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Affiliation(s)
- Arwa M Amin
- Department of Clinical and Hospital Pharmacy, College of Pharmacy, Taibah University, Medina, Saudi Arabia.
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21
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Clarke ED, Rollo ME, Pezdirc K, Collins CE, Haslam RL. Urinary biomarkers of dietary intake: a review. Nutr Rev 2020; 78:364-381. [PMID: 31670796 DOI: 10.1093/nutrit/nuz048] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Dietary intakes are commonly assessed by established methods including food frequency questionnaires, food records, or recalls. These self-report methods have limitations impacting validity and reliability. Dietary biomarkers provide objective verification of self-reported food intakes, and represent a rapidly evolving area. This review aims to summarize the urinary biomarkers of individual foods, food groups, dietary patterns, or nutritional supplements that have been evaluated to date. Six electronic databases were searched. Included studies involved healthy populations, were published from 2000, and compared measured dietary intake with urinary markers. The initial search identified 9985 studies; of these, 616 full texts were retrieved and 109 full texts were included. Of the included studies, 67 foods and food components were studied, and 347 unique urinary biomarkers were identified. The most reliable biomarkers identified were whole grains (alkylresorcinols), soy (isoflavones), and sugar (sucrose and fructose). While numerous novel urinary biomarkers have been identified, further validation studies are warranted to verify the accuracy of self-reported intakes and utility within practice.
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Affiliation(s)
- Erin D Clarke
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia.,Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW, Australia
| | - Megan E Rollo
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia.,Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW, Australia
| | - Kristine Pezdirc
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - Clare E Collins
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia.,Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW, Australia
| | - Rebecca L Haslam
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia.,Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW, Australia
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22
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Abstract
The influence of dietary habits on health/disease is well-established. Accurate dietary assessment is essential to understand metabolic pathways/processes involved in this relationship. In recent years, biomarker discovery has become a major area of interest for improving dietary assessment. Well-established nutrient intake biomarkers exist; however, there is growing interest in identifying and using biomarkers for more accurate and objective measurements of food intake. Metabolomics has emerged as a key tool used for biomarker discovery, employing techniques such as NMR spectroscopy, or MS. To date, a number of putatively identified biomarkers were discovered for foods including meat, cruciferous vegetables and legumes. However, many of the results are associations only and lack the desired validation including dose-response studies. Food intake biomarkers can be employed to classify individuals into consumers/non-consumers of specific foods, or into dietary patterns. Food intake biomarkers can also play a role in correcting self-reported measurement error, thus improving dietary intake estimates. Quantification of food intake was previously performed for citrus (proline betaine), chicken (guanidoacetate) and grape (tartaric acid) intake. However, this area still requires more investigation and expansion to a range of foods. The present review will assess the current literature of identified specific food intake biomarkers, their validation and the variety of biomarker uses. Addressing the utility of biomarkers and highlighting gaps in this area is important to advance the field in the context of nutrition research.
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Affiliation(s)
- Aoife E McNamara
- UCD School of Agriculture and Food Science, Institute of Food and Health, UCD, Belfield, Dublin 4, Ireland
- UCD Conway Institute, UCD, Belfield, Dublin 4, Ireland
| | - Lorraine Brennan
- UCD School of Agriculture and Food Science, Institute of Food and Health, UCD, Belfield, Dublin 4, Ireland
- UCD Conway Institute, UCD, Belfield, Dublin 4, Ireland
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23
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McNamara AE, Collins C, Harsha PSCS, González-Peña D, Gibbons H, McNulty BA, Nugent AP, Walton J, Flynn A, Brennan L. Metabolomic-Based Approach to Identify Biomarkers of Apple Intake. Mol Nutr Food Res 2020; 64:e1901158. [PMID: 32243719 DOI: 10.1002/mnfr.201901158] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 03/16/2020] [Indexed: 01/18/2023]
Abstract
SCOPE There is an increased interest in developing biomarkers of food intake to address some of the limitations associated with self-reported data. The objective is to identify biomarkers of apple intake, examine dose-response relationships, and agreement with self-reported data. METHODS AND RESULTS Metabolomic data from three studies are examined: an acute intervention, a short-term intervention, and a free-living cohort study. Fasting and postprandial urine samples are collected for analysis by 1 H-NMR and liquid chromatography-mass spectrometry (LC-MS). Calibration curves are developed to determine apple intake and classify individuals into categories of intake. Multivariate analysis of data reveals that levels of multiple metabolites increase significantly post-apple consumption, compared to the control food-broccoli. In the dose-response study, urinary xylose, epicatechin sulfate, and 2,6-dimethyl-2-(2-hydroxyethyl)-3,4-dihydro-2H-1-benzopyran increase as apple intake increases. Urinary xylose concentrations in a free-living cohort perform poorly at an individual level but are capable of ranking individuals in categories of intake. CONCLUSION Urinary xylose exhibits a dose-response relationship with apple intake and performs well as a ranking biomarker in the population study. Other potential biomarkers are identified and future work will combine these with xylose in a biomarker panel which may allow for a more objective determination of individual intake.
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Affiliation(s)
- Aoife E McNamara
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.,UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland
| | - Cassandra Collins
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.,UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland
| | - Pedapati S C Sri Harsha
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.,UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland
| | - Diana González-Peña
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.,UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland
| | - Helena Gibbons
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.,UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland
| | - Breige A McNulty
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland
| | - Anne P Nugent
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.,Institute for Global Food Security, School of Biological Sciences, Queens University Belfast, Belfast, Northern Ireland
| | - Janette Walton
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland.,Department of Biological Sciences, Cork Institute of Technology, Cork, Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Lorraine Brennan
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.,UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland
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24
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Abstract
AbstractKnowing the biological signals associated with appetite control is crucial for understanding the regulation of food intake. Biomarkers of appetite have been defined as physiological measures that relate to subjective appetite ratings, measured food intake, or both. Several metabolites including amino acids, lipids and glucose were proposed as key molecules associated with appetite control over 60 years ago, and along with bile acids are all among possible appetite biomarker candidates. Additional metabolites that have been associated with appetite include endocannabinoids, lactate, cortisol and β-hydroxybutyrate. However, although appetite is a complex integrative process, studies often investigated a limited number of markers in isolation. Metabolomics involves the study of small molecules or metabolites present in biological samples such as urine or blood, and may present a powerful approach to further the understanding of appetite control. Using multiple analytical techniques allows the characterisation of molecules, such as carbohydrates, lipids, amino acids, bile acids and fatty acids. Metabolomics has proven successful in identifying markers of consumption of certain foods and biomarkers implicated in several diseases. However, it has been underexploited in appetite control or obesity. The aim of the present narrative review is to: (1) provide an overview of existing metabolites that have been identified in human biofluids and associated with appetite control; and (2) discuss the potential of metabolomics to deepen understanding of appetite control in humans.
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25
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Coode‐Bate J, Sivapalan T, Melchini A, Saha S, Needs PW, Dainty JR, Maicha J, Beasy G, Traka MH, Mills RD, Ball RY, Mithen RF. Accumulation of Dietary S-Methyl Cysteine Sulfoxide in Human Prostate Tissue. Mol Nutr Food Res 2019; 63:e1900461. [PMID: 31410992 PMCID: PMC6856681 DOI: 10.1002/mnfr.201900461] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 07/06/2019] [Indexed: 12/22/2022]
Abstract
SCOPE Observational studies have associated consumption of cruciferous vegetables with reduced risk of prostate cancer. This effect has been associated with the degradation products of glucosinolates-thioglycosides that accumulate within crucifers. The possible role of S-methyl cysteine sulfoxide, a metabolite that also accumulates in cruciferous vegetables, and its derivatives, in cancer prevention is relatively unexplored compared to glucosinolate derivatives. The hypothesis that consuming a broccoli soup results in the accumulation of sulfate (a SMCSO derivative) and other broccoli-derived metabolites in prostate tissue is tested. METHODS AND RESULTS Eighteen men scheduled for transperineal prostate biopsy were recruited into a 4-week parallel single blinded diet supplementation study (NCT02821728). Nine men supplemented their diet with three 300 mL portions of a broccoli soup each week for four weeks prior to surgery. Analyses of prostate biopsy tissues reveal no detectable levels of glucosinolates and derivatives. In contrast, SMCSO is detected in prostate tissues of the participants, with significantly higher levels in tissue of men in the supplementation arm. SMCSO was also found in blood and urine samples from a previous intervention study with the identical broccoli soup. CONCLUSION The consequences of SMCSO accumulation in prostate tissues and its potential role in prevention of prostate cancer remains to be investigated.
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Affiliation(s)
| | | | | | - Shikha Saha
- Quadram Institute BioscienceColney LaneNorwichNR4 7UQUK
| | - Paul W. Needs
- Quadram Institute BioscienceColney LaneNorwichNR4 7UQUK
| | | | | | - Gemma Beasy
- Quadram Institute BioscienceColney LaneNorwichNR4 7UQUK
| | | | - Robert D. Mills
- Department of UrologyNorfolk and Norwich University Hospitals NHS Foundation TrustNorwichUK
| | - Richard Y. Ball
- Norfolk and Waveney Cellular Pathology ServiceNorfolk and Norwich University Hospitals NHS Foundation TrustNorwichUK
| | - Richard F. Mithen
- Quadram Institute BioscienceColney LaneNorwichNR4 7UQUK
- The Liggins InstituteUniversity of AucklandNew Zealand
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26
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Scott KP, Grimaldi R, Cunningham M, Sarbini SR, Wijeyesekera A, Tang MLK, Lee JCY, Yau YF, Ansell J, Theis S, Yang K, Menon R, Arfsten J, Manurung S, Gourineni V, Gibson GR. Developments in understanding and applying prebiotics in research and practice-an ISAPP conference paper. J Appl Microbiol 2019; 128:934-949. [PMID: 31446668 DOI: 10.1111/jam.14424] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 07/24/2019] [Accepted: 07/30/2019] [Indexed: 12/17/2022]
Abstract
AIMS The concept of using specific dietary components to selectively modulate the gut microbiota to confer a health benefit, defined as prebiotics, originated in 1995. In 2018, a group of scientists met at the International Scientific Association for Probiotics and Prebiotics annual meeting in Singapore to discuss advances in the prebiotic field, focussing on issues affecting functionality, research methodology and geographical differences. METHODS AND RESULTS The discussion ranged from examining scientific literature supporting the efficacy of established prebiotics, to the prospects for establishing health benefits associated with novel compounds, isolated from different sources. CONCLUSIONS While many promising candidate prebiotics from across the globe have been highlighted in preliminary research, there are a limited number with both demonstrated mechanism of action and defined health benefits as required to meet the prebiotic definition. Prebiotics are part of a food industry with increasing market sales, yet there are great disparities in regulations in different countries. Identification and commercialization of new prebiotics with unique health benefits means that regulation must improve and remain up-to-date so as not to risk stifling research with potential health benefits for humans and other animals. SIGNIFICANCE AND IMPACT OF STUDY This summary of the workshop discussions indicates potential avenues for expanding the range of prebiotic substrates, delivery methods to enhance health benefits for the end consumer and guidance to better elucidate their activities in human studies.
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Affiliation(s)
- K P Scott
- Rowett Institute, University of Aberdeen, Aberdeen, UK
| | - R Grimaldi
- Food and Nutritional Sciences, University of Reading, Reading, UK
| | - M Cunningham
- Metagenics (Aust) Pty Ltd., Virginia, Queensland, Australia
| | - S R Sarbini
- Department of Crop Science, Universiti Putra Malaysia, Bintulu Campus, Malaysia
| | - A Wijeyesekera
- Food and Nutritional Sciences, University of Reading, Reading, UK
| | - M L K Tang
- Department of Allergy and Immunology, The Royal Children's Hospital, Parkville, Melbourne, VIC, Australia
| | - J C-Y Lee
- School of Biological Sciences, The University of Hong Kong, Hong Kong, Hong Kong
| | - Y F Yau
- School of Biological Sciences, The University of Hong Kong, Hong Kong, Hong Kong
| | - J Ansell
- Zespri International Ltd, Mt Maunganui, New Zealand
| | - S Theis
- Beneo-Institute, Obrigheim, Germany
| | - K Yang
- Departments of Obstetrics and Gynaecology and Physiology and Pharmacology, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - R Menon
- The Bell Institute of Health and Nutrition, General Mills Inc., Minneapolis, MN, USA
| | - J Arfsten
- Nestlé Product and Technology Center Dairy, Konolfingen, Switzerland
| | - S Manurung
- Reckitt Benckiser, Nijmegen, The Netherlands
| | - V Gourineni
- Ingredion Incorporated, Bridgewater, NJ, USA
| | - G R Gibson
- Food and Nutritional Sciences, University of Reading, Reading, UK
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27
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Serra-Majem L, Román-Viñas B, Sanchez-Villegas A, Guasch-Ferré M, Corella D, La Vecchia C. Benefits of the Mediterranean diet: Epidemiological and molecular aspects. Mol Aspects Med 2019; 67:1-55. [PMID: 31254553 DOI: 10.1016/j.mam.2019.06.001] [Citation(s) in RCA: 119] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 06/03/2019] [Accepted: 06/04/2019] [Indexed: 01/16/2023]
Abstract
More than 50 years after the Seven Countries Study, a large number of epidemiological studies have explored the relationship between the Mediterranean diet (MD) and health, through observational, case-control, some longitudinal and a few experimental studies. The overall results show strong evidence suggesting a protective effect of the MD mainly on the risk of cardiovascular disease (CVD) and certain types of cancer. The beneficial effects have been attributed to the types of food consumed, total dietary pattern, components in the food, cooking techniques, eating behaviors and lifestyle behaviors, among others. The aim of this article is to review and summarize the knowledge derived from the literature focusing on the benefits of the MD on health, including those that have been extensively investigated (CVD, cancer) along with more recent issues such as mental health, immunity, quality of life, etc. The review begins with a brief description of the MD and its components. Then we present a review of studies evaluating metabolic biomarkers and genotypes in relation to the MD. Other sections are dedicated to observation and intervention studies for various pathologies. Finally, some insights into the relationship between the MD and sustainability are explored. In conclusion, the research undertaken on metabolomics approaches has identified potential markers for certain MD components and patterns, but more investigation is needed to obtain valid measures. Further evaluation of gene-MD interactions are also required to better understand the mechanisms by which the MD diet exerts its beneficial effects on health. Observation and intervention studies, particularly PREDIMED, have provided invaluable data on the benefits of the MD for a wide range of chronic diseases. However further research is needed to explore the effects of other lifestyle components associated with Mediterranean populations, its environmental impact, as well as the MD extrapolation to non-Mediterranean contexts.
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Affiliation(s)
- Lluis Serra-Majem
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Nutrition Research Foundation, University of Barcelona Science Park, Barcelona, Spain.
| | - Blanca Román-Viñas
- Nutrition Research Foundation, University of Barcelona Science Park, Barcelona, Spain; School of Health and Sport Sciences (EUSES), Universitat de Girona, Salt, Spain; Department of Physical Activity and Sport Sciences, Blanquerna, Universitat Ramon Llull, Barcelona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Almudena Sanchez-Villegas
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Las Palmas, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H.Chan School of Public Health, Boston, MA, USA; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Dolores Corella
- Genetic and Molecular Epidemiology Unit. Department of Preventive Medicine. University of Valencia, Valencia, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Carlo La Vecchia
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20133, Milan, Italy
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An LC-MS/MS Method to Measure S-Methyl-l-Cysteine and S-Methyl-l-Cysteine Sulfoxide in Human Specimens Using Isotope Labelled Internal Standards. Molecules 2019; 24:molecules24132427. [PMID: 31269651 PMCID: PMC6651111 DOI: 10.3390/molecules24132427] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 06/28/2019] [Accepted: 06/29/2019] [Indexed: 01/03/2023] Open
Abstract
This is the first report describing an analytical method for quantitative analysis of two naturally occurring sulphur compounds, S-methyl-l-cysteine (SMC) and S-methyl-l-cysteine sulfoxide (SMCSO), in human body fluids using isotope-labelled internal standards and liquid chromatography-mass spectrometry (LC-MS)/MS techniques. This method was validated according to the guideline of the Royal Society of Chemistry Analytical Methods Committee. It offers significant advantages including simple and fast preparation of human biological samples. The limits of detection of SMC were 0.08 µM for urine and 0.04 µM for plasma. The limits of detection of SMCSO were 0.03 µM for urine and 0.02 µM for plasma. The calibration curves of all matrices showed linearity with correlation coefficients r2 > 0.9987. The intra and inter day precisions in three levels of known concentrations were >10% and >20%, respectively. The quantification accuracy was 98.28 ± 5.66%. The proposed method would be beneficial for the rapid and accurate determination of the SMC and SMCSO in human plasma and urine samples using by isotope labelled internal standards.
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29
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MacKinnon N, Ge W, Han P, Siddiqui J, Wei JT, Raghunathan T, Chinnaiyan AM, Rajendiran TM, Ramamoorthy A. NMR-Based Metabolomic Profiling of Urine: Evaluation for Application in Prostate Cancer Detection. Nat Prod Commun 2019. [DOI: 10.1177/1934578x19849978] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Detection of prostate cancer (PCa) and distinguishing indolent versus aggressive forms of the disease is a critical clinical challenge. The current clinical test is circulating prostate-specific antigen levels, which faces particular challenges in cancer diagnosis in the range of 4 to 10 ng/mL. Thus, a concerted effort toward building a noninvasive biomarker panel has developed. In this report, the hypothesis that nuclear magnetic resonance (NMR)-derived metabolomic profiles measured in the urine of biopsy-negative versus biopsy-positive individuals would nominate a selection of potential biomarker signals was investigated. 1H NMR spectra of urine samples from 317 individuals (111 biopsy-negative, 206 biopsy-positive) were analyzed. A double cross-validation partial least squares-discriminant analysis modeling technique was utilized to nominate signals capable of distinguishing the two classes. It was observed that after variable selection protocols were applied, a subset of 29 variables produced an area under the curve (AUC) value of 0.94 after logistic regression analysis, whereas a “master list” of 18 variables produced a receiver operating characteristic ROC) AUC of 0.80. As proof of principle, this study demonstrates the utility of NMR-based metabolomic profiling of urine biospecimens in the nomination of PCa-specific biomarker signals and suggests that further investigation is certainly warranted.
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Affiliation(s)
- Neil MacKinnon
- Biophysics, University of Michigan, Ann Arbor, MI, USA
- Department of Chemistry, University of Michigan, Ann Arbor, MI, USA
| | - Wencheng Ge
- Department of Chemistry, University of Michigan, Ann Arbor, MI, USA
| | - Peisong Han
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Javed Siddiqui
- Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - John T. Wei
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
- Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Trivellore Raghunathan
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Arul M. Chinnaiyan
- Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
- Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, MI, USA
- Howard Hughes Medical Institute, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Thekkelnaycke M. Rajendiran
- Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Ayyalusamy Ramamoorthy
- Biophysics, University of Michigan, Ann Arbor, MI, USA
- Department of Chemistry, University of Michigan, Ann Arbor, MI, USA
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30
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Lloyd AJ, Willis ND, Wilson T, Zubair H, Chambers E, Garcia-Perez I, Xie L, Tailliart K, Beckmann M, Mathers JC, Draper J. Addressing the pitfalls when designing intervention studies to discover and validate biomarkers of habitual dietary intake. Metabolomics 2019; 15:72. [PMID: 31049735 PMCID: PMC6497620 DOI: 10.1007/s11306-019-1532-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Accepted: 04/19/2019] [Indexed: 12/21/2022]
Abstract
INTRODUCTION Dietary exposure monitoring within populations is reliant on self-reported measures such as Food Frequency Questionnaires and diet diaries. These methods often contain inaccurate information due to participant misreporting, non-compliance and bias. Urinary metabolites derived from individual foods could provide additional objective indicators of dietary exposure. For biomarker approaches to have utility it is essential that they cover a wide-range of commonly consumed foods and the methodology works in a real-world environment. OBJECTIVES To test that the methodology works in a real-world environment and to consider the impact of the major sources of likely variance; particularly complex meals, different food formulations, processing and cooking methods, as well as the dynamics of biomarker duration in the body. METHODS We designed and tested a dietary exposure biomarker discovery and validation strategy based on a food intervention study involving free-living individuals preparing meals and collecting urine samples at home. Two experimental periods were built around three consecutive day menu plans where all foods and drinks were provided (n = 15 and n = 36). RESULTS The experimental design was validated by confirming known consumption biomarkers in urinary samples after the first menu plan. We tested biomarker performance with different food formulations and processing methods involving meat, wholegrain, fruits and vegetables. CONCLUSION It was demonstrated that spot urine samples, together with robust dietary biomarkers, despite major sources of variance, could be used successfully for dietary exposure monitoring in large epidemiological studies.
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Affiliation(s)
- A J Lloyd
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, SY23 3DA, UK
| | - N D Willis
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne, NE2 4HH, UK
| | - T Wilson
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, SY23 3DA, UK
| | - H Zubair
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, SY23 3DA, UK
| | - E Chambers
- Nutrition and Dietetic Research Group, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Hammersmith Hospital Campus, Imperial College London, London, W12 0NN, UK
| | - I Garcia-Perez
- Nutrition and Dietetic Research Group, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Hammersmith Hospital Campus, Imperial College London, London, W12 0NN, UK
| | - L Xie
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne, NE2 4HH, UK
| | - K Tailliart
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, SY23 3DA, UK
| | - M Beckmann
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, SY23 3DA, UK
| | - J C Mathers
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne, NE2 4HH, UK
| | - J Draper
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, SY23 3DA, UK.
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31
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Traka MH, Melchini A, Coode-Bate J, Al Kadhi O, Saha S, Defernez M, Troncoso-Rey P, Kibblewhite H, O'Neill CM, Bernuzzi F, Mythen L, Hughes J, Needs PW, Dainty JR, Savva GM, Mills RD, Ball RY, Cooper CS, Mithen RF. Transcriptional changes in prostate of men on active surveillance after a 12-mo glucoraphanin-rich broccoli intervention-results from the Effect of Sulforaphane on prostate CAncer PrEvention (ESCAPE) randomized controlled trial. Am J Clin Nutr 2019; 109:1133-1144. [PMID: 30982861 PMCID: PMC6462431 DOI: 10.1093/ajcn/nqz012] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 01/18/2019] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Epidemiological evidence suggests that consumption of cruciferous vegetables is associated with reduced risk of prostate cancer progression, largely attributed to the biological activity of glucosinolate degradation products, such as sulforaphane derived from glucoraphanin. Because there are few therapeutic interventions for men on active surveillance for prostate cancer to reduce the risk of cancer progression, dietary approaches are an appealing option for patients. OBJECTIVE We evaluated whether consumption of a glucoraphanin-rich broccoli soup for 1 y leads to changes in gene expression in prostate tissue of men with localized prostate cancer. METHODS Forty-nine men on active surveillance completed a 3-arm parallel randomized double-blinded intervention study for 12 mo and underwent transperineal template biopsy procedures and dietary assessment at the start and end of the study. Patients received a weekly 300 mL portion of soup made from a standard broccoli (control) or from 1 of 2 experimental broccoli genotypes with enhanced concentrations of glucoraphanin, delivering 3 and 7 times that of the control, respectively. Gene expression in tissues from each patient obtained before and after the dietary intervention was quantified by RNA sequencing followed by gene set enrichment analyses. RESULTS In the control arm, there were several hundred changes in gene expression in nonneoplastic tissue during the 12 mo. These were associated with an increase in expression of potentially oncogenic pathways including inflammation processes and epithelial-mesenchymal transition. Changes in gene expression and associated oncogenic pathways were attenuated in men on the glucoraphanin-rich broccoli soup in a dose-dependent manner. Although the study was not powered to assess clinical progression, an inverse association between consumption of cruciferous vegetables and cancer progression was observed. CONCLUSION Consuming glucoraphanin-rich broccoli soup affected gene expression in the prostate of men on active surveillance, consistent with a reduction in the risk of cancer progression. This trial was registered at clinicaltrials.gov as NCT01950143.
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Affiliation(s)
- Maria H Traka
- Quadram Institute Bioscience, Norwich, United Kingdom
| | | | - Jack Coode-Bate
- Quadram Institute Bioscience, Norwich, United Kingdom,Department of Urology, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, United Kingdom
| | - Omar Al Kadhi
- Quadram Institute Bioscience, Norwich, United Kingdom,Department of Urology, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, United Kingdom
| | - Shikha Saha
- Quadram Institute Bioscience, Norwich, United Kingdom
| | | | | | | | | | | | - Laura Mythen
- Quadram Institute Bioscience, Norwich, United Kingdom
| | - Jackie Hughes
- Quadram Institute Bioscience, Norwich, United Kingdom
| | - Paul W Needs
- Quadram Institute Bioscience, Norwich, United Kingdom
| | - Jack R Dainty
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | | | - Robert D Mills
- Department of Urology, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, United Kingdom
| | - Richard Y Ball
- Norfolk and Waveney Cellular Pathology Service, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, United Kingdom
| | - Colin S Cooper
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Richard F Mithen
- Quadram Institute Bioscience, Norwich, United Kingdom,Liggins Institute, University of Auckland, New Zealand,Address correspondence to RFM (e-mail: )
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32
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González-Peña D, Brennan L. Recent Advances in the Application of Metabolomics for Nutrition and Health. Annu Rev Food Sci Technol 2019; 10:479-519. [DOI: 10.1146/annurev-food-032818-121715] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Metabolomics is the study of small molecules called metabolites in biological samples. Application of metabolomics to nutrition research has expanded in recent years, with emerging literature supporting multiple applications. Key examples include applications of metabolomics in the identification and development of objective biomarkers of dietary intake, in developing personalized nutrition strategies, and in large-scale epidemiology studies to understand the link between diet and health. In this review, we provide an overview of the current applications and identify key challenges that need to be addressed for the further development of the field. Successful development of metabolomics for nutrition research has the potential to improve dietary assessment, help deliver personalized nutrition, and enhance our understanding of the link between diet and health.
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Affiliation(s)
- Diana González-Peña
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin 4, Ireland;,
| | - Lorraine Brennan
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin 4, Ireland;,
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33
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Nie J, Li Y, Xing J, Chao J, Qin X, Li Z. Comparison of two types of vinegar with different aging times by NMR-based metabolomic approach. J Food Biochem 2019; 43:e12835. [PMID: 31353520 DOI: 10.1111/jfbc.12835] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 02/16/2019] [Accepted: 02/23/2019] [Indexed: 01/20/2023]
Abstract
Shanxi vinegar (SV) is well known as the most famous vinegar for its distinctive processing technique in China. Aging is the most important process for SV, and we call the vinegar aging more than 1-year Shanxi aged vinegar (SAV) and less than 1-year Shanxi mature vinegar (SMV). In this study, the chemical compositions and in vivo difference between SAV and SMV were compared by NMR based metabolomic profiling technique and multivariate statistical analysis. The results indicated that most of the metabolites exhibited higher concentrations in SAV than those in SMV¸ and the amino acids showed higher concentration ratio than the other compounds. The changes of endogenous metabolites after treatment with SMV and SAV were also investigated. Compared with the chemical differences, the differences of metabolomic changes between SAV and SMV were relatively minor. This study provides a valuable approach for accurately evaluating the differences of food products. PRACTICAL APPLICATIONS: Vinegar is commonly consumed as the important seasoning. SV, which is made from several kinds of cereal by solid-state fermentation techniques, is one of the famous vinegars in China. Aging is the most important process for SV which dividing vinegar into SAV and SMV according to the aging time. Due to the long aging process, the price of SAV is much higher than that of SMV in the market place. However, no investigation was conducted to compare their differences in vivo.
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Affiliation(s)
- Jiahui Nie
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China.,College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan, China
| | - Yi Li
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China.,College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan, China
| | - Jie Xing
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China
| | - Jianbin Chao
- Scientific Instrument Center of Shanxi University, Taiyuan, China
| | - Xuemei Qin
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China
| | - Zhenyu Li
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China
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34
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Abstract
Dietary assessment methods including FFQ and food diaries are associated with many measurement errors including energy under-reporting and incorrect estimation of portion sizes. Such errors can lead to inconsistent results especially when investigating the relationship between food intake and disease causation. To improve the classification of a person's dietary intake and therefore clarify proposed links between diet and disease, reliable and accurate dietary assessment methods are essential. Dietary biomarkers have emerged as a complementary approach to the traditional methods, and in recent years, metabolomics has developed as a key technology for the identification of new dietary biomarkers. The objective of this review is to give an overview of the approaches used for the identification of biomarkers and potential use of the biomarkers. Over the years, a number of strategies have emerged for the discovery of dietary biomarkers including acute and medium term interventions and cross-sectional/cohort study approaches. Examples of the different approaches will be presented. Concomitant with the focus on single biomarkers of specific foods, there is an interest in the development of biomarker signatures for the identification of dietary patterns. In the present review, we present an overview of the techniques used in food intake biomarker discover, including the experimental approaches used and challenges faced in the field. While significant progress has been achieved in the field of dietary biomarkers in recent years, a number of challenges remain. Addressing these challenges will be key to ensure success in implementing use of dietary biomarkers.
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35
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Metabolomics and Microbiomes as Potential Tools to Evaluate the Effects of the Mediterranean Diet. Nutrients 2019; 11:nu11010207. [PMID: 30669673 PMCID: PMC6356665 DOI: 10.3390/nu11010207] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Revised: 01/12/2019] [Accepted: 01/17/2019] [Indexed: 02/07/2023] Open
Abstract
The approach to studying diet–health relationships has progressively shifted from individual dietary components to overall dietary patterns that affect the interaction and balance of low-molecular-weight metabolites (metabolome) and host-enteric microbial ecology (microbiome). Even though the Mediterranean diet (MedDiet) has been recognized as a powerful strategy to improve health, the accurate assessment of exposure to the MedDiet has been a major challenge in epidemiological and clinical studies. Interestingly, while the effects of individual dietary components on the metabolome have been described, studies investigating metabolomic profiles in response to overall dietary patterns (including the MedDiet), although limited, have been gaining attention. Similarly, the beneficial effects of the MedDiet on cardiometabolic outcomes may be mediated through gut microbial changes. Accumulating evidence linking food ingestion and enteric microbiome alterations merits the evaluation of the microbiome-mediated effects of the MedDiet on metabolic pathways implicated in disease. In this narrative review, we aimed to summarize the current evidence from observational and clinical trials involving the MedDiet by (1) assessing changes in the metabolome and microbiome for the measurement of diet pattern adherence and (2) assessing health outcomes related to the MedDiet through alterations to human metabolomics and/or the microbiome.
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36
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Lynn KS, Cheng ML, Yang HC, Liang YJ, Kang MJ, Chen FL, Shiao MS, Pan WH. Vegetable Signatures Derived from Human Urinary Metabolomic Data in Controlled Feeding Studies. J Proteome Res 2019; 18:159-168. [PMID: 30517004 DOI: 10.1021/acs.jproteome.8b00470] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Examination of changes in urinary metabolomic profiles after vegetable ingestion may lead to new methods of assessing plant food intake. To this regard, we developed a proof-of-principle methodology to identify urinary metabolomic signatures for spinach, celery, and onion. Three feeding studies were conducted. In the first study, healthy individuals were fed with spinach, celery, onion, and no vegetables in four separate experiments with pooled urinary samples for metabolite discovery. The same protocol was used to validate the finding at the individual level in the second study and when feeding all three vegetables simultaneously in the third study. An LC-MS-based metabolomics approach was adopted to search for indicative metabolites from urine samples collected during multiple time periods before and after the meal. Consequently, a total of 1, 9, and 3 nonoverlapping urinary metabolites were associated with the intake of spinach, celery, and onion, respectively. The PCA signature of these metabolites followed a similar "time cycle" pattern, which maximized at approximately 2-4 h after intake. In addition, the metabolite profiles for the same vegetable were consistent across samples, regardless of whether it was consumed individually or in combination. The developed methodology along with the identified urinary metabolomic signatures were potential tools for assessing plant food intake.
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Affiliation(s)
- Ke-Shiuan Lynn
- Department of Mathematics , Fu Jen Catholic University , New Taipei City 24205 , Taiwan
| | - Mei-Ling Cheng
- Department of Biomedical Sciences, College of Medicine , Chang Gung University , Taoyuan 33302 , Taiwan.,Metabolomics Core Laboratory, Healthy Aging Research Center , Chang Gung University , Taoyuan 33302 , Taiwan.,Clinical Metabolomics Core Laboratory , Chang Gung Memorial Hospital , Taoyuan 33305 , Taiwan
| | - Hsin-Chou Yang
- Institute of Statistical Science , Academia Sinica , Taipei 11529 , Taiwan
| | - Yu-Jen Liang
- Institute of Statistical Science , Academia Sinica , Taipei 11529 , Taiwan
| | - Mei-Jyh Kang
- Institute of Biomedical Sciences , Academia Sinica , Taipei 11529 , Taiwan
| | - Fong-Ling Chen
- Institute of Biomedical Sciences , Academia Sinica , Taipei 11529 , Taiwan
| | - Ming-Shi Shiao
- Department of Biomedical Sciences, College of Medicine , Chang Gung University , Taoyuan 33302 , Taiwan
| | - Wen-Harn Pan
- Institute of Biomedical Sciences , Academia Sinica , Taipei 11529 , Taiwan.,Institute of Population Health Sciences , National Health Research Institutes , Miaoli 35053 , Taiwan
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37
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S C Sri Harsha P, Abdul Wahab R, Cuparencu C, Dragsted LO, Brennan L. A Metabolomics Approach to the Identification of Urinary Biomarkers of Pea Intake. Nutrients 2018; 10:E1911. [PMID: 30518059 PMCID: PMC6315433 DOI: 10.3390/nu10121911] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Revised: 11/24/2018] [Accepted: 11/29/2018] [Indexed: 01/26/2023] Open
Abstract
A significant body of evidence demonstrates that isoflavone metabolites are good markers of soy intake, while research is lacking on specific markers of other leguminous sources such as peas. In this context, the objective of our current study was to identify biomarkers of pea intake using an untargeted metabolomics approach. A randomized cross-over acute intervention study was conducted on eleven participants who consumed peas and couscous (control food) in random order. The urine samples were collected in fasting state and postprandially at regular intervals and were further analysed by ultra-performance liquid chromatography coupled to quadrupole time of flight mass spectrometry (UPLC-QTOF-MS). Multivariate statistical analysis resulted in robust Partial least squares Discriminant Analysis (PLS-DA) models obtained for comparison of fasting against the postprandial time points (0 h vs. 4 h, (R²X = 0.41, Q² = 0.4); 0 h vs. 6 h, ((R²X = 0.517, Q² = 0.495)). Variables with variable importance of projection (VIP) scores ≥1.5 obtained from the PLS-DA plot were considered discriminant between the two time points. Repeated measures analysis of variance (ANOVA) was performed to identify features with a significant time effect. Assessment of the time course profile revealed that ten features displayed a differential time course following peas consumption compared to the control food. The interesting features were tentatively identified using accurate mass data and confirmed by tandem mass spectrometry (MS using commercial spectral databases and authentic standards. 2-Isopropylmalic acid, asparaginyl valine and N-carbamoyl-2-amino-2-(4-hydroxyphenyl) acetic acid were identified as markers reflecting pea intake. The three markers also increased in a dose-dependent manner in a randomized intervention study and were further confirmed in an independent intervention study. Overall, key validation criteria were met for the successfully identified pea biomarkers. Future work will examine their use in nutritional epidemiology studies.
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Affiliation(s)
- Pedapati S C Sri Harsha
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.
| | - Roshaida Abdul Wahab
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.
| | - Catalina Cuparencu
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, 1958 Frederiksberg C, Denmark.
| | - Lars Ove Dragsted
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, 1958 Frederiksberg C, Denmark.
| | - Lorraine Brennan
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.
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Palliyaguru DL, Salvatore SR, Schopfer FJ, Cheng X, Zhou J, Kensler TW, Wendell SG. Evaluation of 2-Thiothiazolidine-4-Carboxylic Acid, a Common Metabolite of Isothiocyanates, as a Potential Biomarker of Cruciferous Vegetable Intake. Mol Nutr Food Res 2018; 63:e1801029. [PMID: 30408325 DOI: 10.1002/mnfr.201801029] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 10/26/2018] [Indexed: 12/17/2022]
Abstract
SCOPE Cruciferous vegetable consumption is associated with favorable health outcomes. Bioactive compounds arising in these, especially isothiocyanates, exert effects that contribute to prevention of disease, in large part through the attenuation of inflammation and oxidative stress. However, much about isothiocyanate metabolites and their role as biomarkers of crucifer intake remain unknown. METHODS AND RESULTS The utility and limitations of 2-thiothiazolidine-4-carboxylic acid (TTCA) as a urinary biomarker of broccoli beverage intake are tested in a randomized crossover clinical trial where 50 participants consumed either a glucoraphanin-rich (GRR) or sulforaphane-rich (SFR) beverage. Compared to run-in and wash-out periods, significantly higher urinary TTCA is observed after broccoli beverage consumption. Measurements also show that TTCA is present in beverage powders and in all tested cruciferous vegetables. GRR results in excretion of ≈87% of the ingested TTCA while SFR results in excretion of ≈176%. Elevated urinary TTCA is observed in rats administered 100 µmol kg-1 SFN. Unlike SFN, TTCA does not activate Nrf2-mediated cytoprotective signaling. CONCLUSION Collectively, TTCA appears to be a common isothiocyanate-derived metabolite that has the capacity to be utilized as a biomarker of cruciferous vegetables that would be beneficial for objective and quantitative tracking of intake in studies.
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Affiliation(s)
- Dushani L Palliyaguru
- Department of Pharmacology & Chemical Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Sonia R Salvatore
- Department of Pharmacology & Chemical Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Francisco J Schopfer
- Department of Pharmacology & Chemical Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Xuemei Cheng
- Occupational & Environmental Department, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Jingyang Zhou
- Occupational & Environmental Department, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Thomas W Kensler
- Department of Pharmacology & Chemical Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15261, USA.,Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - Stacy G Wendell
- Department of Pharmacology & Chemical Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15261, USA
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39
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Lau CHE, Siskos AP, Maitre L, Robinson O, Athersuch TJ, Want EJ, Urquiza J, Casas M, Vafeiadi M, Roumeliotaki T, McEachan RRC, Azad R, Haug LS, Meltzer HM, Andrusaityte S, Petraviciene I, Grazuleviciene R, Thomsen C, Wright J, Slama R, Chatzi L, Vrijheid M, Keun HC, Coen M. Determinants of the urinary and serum metabolome in children from six European populations. BMC Med 2018; 16:202. [PMID: 30404627 PMCID: PMC6223046 DOI: 10.1186/s12916-018-1190-8] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Accepted: 10/10/2018] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Environment and diet in early life can affect development and health throughout the life course. Metabolic phenotyping of urine and serum represents a complementary systems-wide approach to elucidate environment-health interactions. However, large-scale metabolome studies in children combining analyses of these biological fluids are lacking. Here, we sought to characterise the major determinants of the child metabolome and to define metabolite associations with age, sex, BMI and dietary habits in European children, by exploiting a unique biobank established as part of the Human Early-Life Exposome project ( http://www.projecthelix.eu ). METHODS Metabolic phenotypes of matched urine and serum samples from 1192 children (aged 6-11) recruited from birth cohorts in six European countries were measured using high-throughput 1H nuclear magnetic resonance (NMR) spectroscopy and a targeted LC-MS/MS metabolomic assay (Biocrates AbsoluteIDQ p180 kit). RESULTS We identified both urinary and serum creatinine to be positively associated with age. Metabolic associations to BMI z-score included a novel association with urinary 4-deoxyerythreonic acid in addition to valine, serum carnitine, short-chain acylcarnitines (C3, C5), glutamate, BCAAs, lysophosphatidylcholines (lysoPC a C14:0, lysoPC a C16:1, lysoPC a C18:1, lysoPC a C18:2) and sphingolipids (SM C16:0, SM C16:1, SM C18:1). Dietary-metabolite associations included urinary creatine and serum phosphatidylcholines (4) with meat intake, serum phosphatidylcholines (12) with fish, urinary hippurate with vegetables, and urinary proline betaine and hippurate with fruit intake. Population-specific variance (age, sex, BMI, ethnicity, dietary and country of origin) was better captured in the serum than in the urine profile; these factors explained a median of 9.0% variance amongst serum metabolites versus a median of 5.1% amongst urinary metabolites. Metabolic pathway correlations were identified, and concentrations of corresponding metabolites were significantly correlated (r > 0.18) between urine and serum. CONCLUSIONS We have established a pan-European reference metabolome for urine and serum of healthy children and gathered critical resources not previously available for future investigations into the influence of the metabolome on child health. The six European cohort populations studied share common metabolic associations with age, sex, BMI z-score and main dietary habits. Furthermore, we have identified a novel metabolic association between threonine catabolism and BMI of children.
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Affiliation(s)
- Chung-Ho E Lau
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK.
| | - Alexandros P Siskos
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK.,Division of Cancer, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
| | - Léa Maitre
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Oliver Robinson
- MRC-PHE Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK
| | - Toby J Athersuch
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK.,MRC-PHE Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK
| | - Elizabeth J Want
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK
| | - Jose Urquiza
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Maribel Casas
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Rosemary R C McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Rafaq Azad
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Line S Haug
- Norwegian Institute of Public Health, Oslo, Norway
| | | | - Sandra Andrusaityte
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Inga Petraviciene
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | | | | | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Remy Slama
- Inserm, Univ. Grenoble Alpes, CNRS, IAB (Institute of Advanced Biosciences), Grenoble, France
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Hector C Keun
- Division of Cancer, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
| | - Muireann Coen
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK. .,Oncology Safety, Drug Safety and Metabolism, IMED Biotech Unit, AstraZeneca, 1 Francis Crick Avenue, Cambridge, CB2 0RE, UK.
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Yang B, Liao GQ, Wen XF, Chen WH, Cheng S, Stolzenburg JU, Ganzer R, Neuhaus J. Nuclear magnetic resonance spectroscopy as a new approach for improvement of early diagnosis and risk stratification of prostate cancer. J Zhejiang Univ Sci B 2018; 18:921-933. [PMID: 29119730 DOI: 10.1631/jzus.b1600441] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Prostate cancer (PCa) is the second most common male cancer worldwide and the fifth leading cause of death from cancer in men. Early detection and risk stratification is the most effective way to improve the survival of PCa patients. Current PCa biomarkers lack sufficient sensitivity and specificity to cancer. Metabolite biomarkers are evolving as a new diagnostic tool. This review is aimed to evaluate the potential of metabolite biomarkers for early detection, risk assessment, and monitoring of PCa. Of the 154 identified publications, 27 and 38 were original papers on urine and serum metabolomics, respectively. Nuclear magnetic resonance (NMR) is a promising method for measuring concentrations of metabolites in complex samples with good reproducibility, high sensitivity, and simple sample processing. Especially urine-based NMR metabolomics has the potential to be a cost-efficient method for the early detection of PCa, risk stratification, and monitoring treatment efficacy.
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Affiliation(s)
- Bo Yang
- Department of Urology, Zhoupu Hospital, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Guo-Qiang Liao
- Department of Urology, Zhoupu Hospital, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Xiao-Fei Wen
- Department of Urology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Wei-Hua Chen
- Department of Urology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Sheng Cheng
- Department of Urology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, China
| | - Jens-Uwe Stolzenburg
- Department of Urology, University Hospital of Leipzig, Liebigstraße 20, 04103 Leipzig, Germany
| | - Roman Ganzer
- Department of Urology, University Hospital of Leipzig, Liebigstraße 20, 04103 Leipzig, Germany
| | - Jochen Neuhaus
- Department of Urology, Zhoupu Hospital, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China.,Division of Urology, Research Laboratory, University of Leipzig, Liebigstraße 19, 04103 Leipzig, Germany
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Xia H, Tang H, Wang F, Yang X, Wang Z, Liu H, Pan D, Wang S, Sun G. Metabolic effects of dietary supplementation of Lycium barbarum polysaccharides on serum and urine metabolomics in a young healthy male population. J Funct Foods 2018. [DOI: 10.1016/j.jff.2018.04.060] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
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Loo RL, Zou X, Appel LJ, Nicholson JK, Holmes E. Characterization of metabolic responses to healthy diets and association with blood pressure: application to the Optimal Macronutrient Intake Trial for Heart Health (OmniHeart), a randomized controlled study. Am J Clin Nutr 2018; 107:323-334. [PMID: 29506183 DOI: 10.1093/ajcn/nqx072] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2017] [Accepted: 12/13/2017] [Indexed: 01/02/2023] Open
Abstract
Background Interindividual variation in the response to diet is common, but the underlying mechanism for such variation is unclear. Objective The objective of this study was to use a metabolic profiling approach to identify a panel of urinary metabolites representing individuals demonstrating typical (homogeneous) metabolic responses to healthy diets, and subsequently to define the association of these metabolites with improvement of risk factors for cardiovascular diseases (CVDs). Design 24-h urine samples from 158 participants with pre-hypertension and stage 1 hypertension, collected at baseline and following the consumption of a carbohydrate-rich, a protein-rich, and a monounsaturated fat-rich healthy diet (6 wk/diet) in a randomized, crossover study, were analyzed by proton (1H) nuclear magnetic resonance (NMR) spectroscopy. Urinary metabolite profiles were interrogated to identify typical and variable responses to each diet. We quantified the differences in absolute excretion of metabolites, distinguishing between dietary comparisons within the typical response groups, and established their associations with CVD risk factors using linear regression. Results Globally all 3 diets induced a similar pattern of change in the urinary metabolic profiles for the majority of participants (60.1%). Diet-dependent metabolic variation was not significantly associated with total cholesterol or low-density lipoprotein (LDL) cholesterol concentration. However, blood pressure (BP) was found to be significantly associated with 6 urinary metabolites reflecting dietary intake [proline-betaine (inverse), carnitine (direct)], gut microbial co-metabolites [hippurate (direct), 4-cresyl sulfate (inverse), phenylacetylglutamine (inverse)], and tryptophan metabolism [N-methyl-2-pyridone-5-carboxamide (inverse)]. A dampened clinical response was observed in some individuals with variable metabolic responses, which could be attributed to nonadherence to diet (≤25.3%), variation in gut microbiome activity (7.6%), or a combination of both (7.0%). Conclusions These data indicate interindividual variations in BP in response to dietary change and highlight the potential influence of the gut microbiome in mediating this relation. This approach provides a framework for stratification of individuals undergoing dietary management. The original OmniHeart intervention study and the metabolomics study were registered at www.clinicaltrials.gov as NCT00051350 and NCT03369535, respectively.
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Affiliation(s)
- Ruey Leng Loo
- Medway Metabonomics Research Group, Medway School of Pharmacy, Universities of Kent and Greenwich, Chatham Maritime, United Kingdom
| | - Xin Zou
- Medway Metabonomics Research Group, Medway School of Pharmacy, Universities of Kent and Greenwich, Chatham Maritime, United Kingdom.,Ministry of Education Key Laboratory of Systems Biomedicine, Shanghai Centre for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
| | - Lawrence J Appel
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD
| | - Jeremy K Nicholson
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.,MRC-HPA Centre for Environment and Health, Imperial College London, London, United Kingdom
| | - Elaine Holmes
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.,MRC-HPA Centre for Environment and Health, Imperial College London, London, United Kingdom
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Braconi D, Bernardini G, Millucci L, Santucci A. Foodomics for human health: current status and perspectives. Expert Rev Proteomics 2017; 15:153-164. [PMID: 29271263 DOI: 10.1080/14789450.2018.1421072] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
INTRODUCTION In the post-genomic era, the opportunity to combine and integrate cutting-edge analytical platforms and data processing systems allowed the birth of foodomics, 'a discipline that studies the Food and Nutrition domains through the application of advanced omics technologies to improve consumer's well-being, health, and confidence'. Since then, this discipline has rapidly evolved and researchers are now facing the daunting tasks to meet consumers' needs in terms of food traceability, sustainability, quality, safety and integrity. Most importantly, today it is imperative to provide solid evidence of the mechanisms through which food can promote human health and well-being. Areas covered: In this review, the complex relationships connecting food, nutrition and human health will be discussed, with emphasis on the relapses for the development of functional foods and nutraceuticals, personalized nutrition approaches, and the study of the interplay among gut microbiota, diet and health/diseases. Expert commentary: Evidence has been provided supporting the role of various omic platforms in studying the health-promoting effects of food and customized dietary interventions. However, although associated to major analytical challenges, only the proper integration of multi-omics studies and the implementation of bioinformatics tools and databases will help translate findings from clinical practice into effective personalized treatment strategies.
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Affiliation(s)
- Daniela Braconi
- a Dipartimento di Biotecnologie, Chimica e Farmacia , Università degli Studi di Siena , Siena , Italy
| | - Giulia Bernardini
- a Dipartimento di Biotecnologie, Chimica e Farmacia , Università degli Studi di Siena , Siena , Italy
| | - Lia Millucci
- a Dipartimento di Biotecnologie, Chimica e Farmacia , Università degli Studi di Siena , Siena , Italy
| | - Annalisa Santucci
- a Dipartimento di Biotecnologie, Chimica e Farmacia , Università degli Studi di Siena , Siena , Italy
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Guasch-Ferré M, Bhupathiraju SN, Hu FB. Use of Metabolomics in Improving Assessment of Dietary Intake. Clin Chem 2017; 64:82-98. [PMID: 29038146 DOI: 10.1373/clinchem.2017.272344] [Citation(s) in RCA: 169] [Impact Index Per Article: 24.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Accepted: 09/07/2017] [Indexed: 01/23/2023]
Abstract
BACKGROUND Nutritional metabolomics is rapidly evolving to integrate nutrition with complex metabolomics data to discover new biomarkers of nutritional exposure and status. CONTENT The purpose of this review is to provide a broad overview of the measurement techniques, study designs, and statistical approaches used in nutrition metabolomics, as well as to describe the current knowledge from epidemiologic studies identifying metabolite profiles associated with the intake of individual nutrients, foods, and dietary patterns. SUMMARY A wide range of technologies, databases, and computational tools are available to integrate nutritional metabolomics with dietary and phenotypic information. Biomarkers identified with the use of high-throughput metabolomics techniques include amino acids, acylcarnitines, carbohydrates, bile acids, purine and pyrimidine metabolites, and lipid classes. The most extensively studied food groups include fruits, vegetables, meat, fish, bread, whole grain cereals, nuts, wine, coffee, tea, cocoa, and chocolate. We identified 16 studies that evaluated metabolite signatures associated with dietary patterns. Dietary patterns examined included vegetarian and lactovegetarian diets, omnivorous diet, Western dietary patterns, prudent dietary patterns, Nordic diet, and Mediterranean diet. Although many metabolite biomarkers of individual foods and dietary patterns have been identified, those biomarkers may not be sensitive or specific to dietary intakes. Some biomarkers represent short-term intakes rather than long-term dietary habits. Nonetheless, nutritional metabolomics holds promise for the development of a robust and unbiased strategy for measuring diet. Still, this technology is intended to be complementary, rather than a replacement, to traditional well-validated dietary assessment methods such as food frequency questionnaires that can measure usual diet, the most relevant exposure in nutritional epidemiologic studies.
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Affiliation(s)
- Marta Guasch-Ferré
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA
| | - Shilpa N Bhupathiraju
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Frank B Hu
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA; .,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA
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Playdon MC, Ziegler RG, Sampson JN, Stolzenberg-Solomon R, Thompson HJ, Irwin ML, Mayne ST, Hoover RN, Moore SC. Nutritional metabolomics and breast cancer risk in a prospective study. Am J Clin Nutr 2017; 106:637-649. [PMID: 28659298 PMCID: PMC5525118 DOI: 10.3945/ajcn.116.150912] [Citation(s) in RCA: 107] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Accepted: 05/30/2017] [Indexed: 12/16/2022] Open
Abstract
Background: The epidemiologic evidence for associations between dietary factors and breast cancer is weak and etiologic mechanisms are often unclear. Exploring the role of dietary biomarkers with metabolomics can potentially facilitate objective dietary characterization, mitigate errors related to self-reported diet, agnostically test metabolic pathways, and identify mechanistic mediators.Objective: The aim of this study was to evaluate associations of diet-related metabolites with the risk of breast cancer in the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial.Design: We examined prediagnostic serum concentrations of diet-related metabolites in a nested case-control study in 621 postmenopausal invasive breast cancer cases and 621 matched controls in the multicenter PLCO cohort. We calculated partial Pearson correlations between 617 metabolites and 55 foods, food groups, and vitamin supplements on the basis of the 2015 Dietary Guidelines for Americans and derived from a 137-item self-administered food-frequency questionnaire. Diet-related metabolites (P-correlation < 1.47 × 10-6) were evaluated in breast cancer analyses. ORs for the 90th compared with the 10th percentile were calculated by using conditional logistic regression, with body mass index, physical inactivity, other breast cancer risk factors, and caloric intake controlled for (false discovery rate <0.2).Results: Of 113 diet-related metabolites, 3 were associated with overall breast cancer risk (621 cases): caprate (10:0), a saturated fatty acid (OR: 1.77; 95% CI = 1.28, 2.43); γ-carboxyethyl hydrochroman (γ-CEHC), a vitamin E (γ-tocopherol) derivative (OR: 1.64; 95% CI: 1.18, 2.28); and 4-androsten-3β,17β-diol-monosulfate (1), an androgen (OR: 1.61; 95% CI: 1.20, 2.16). Nineteen metabolites were significantly associated with estrogen receptor (ER)-positive (ER+) breast cancer (418 cases): 12 alcohol-associated metabolites, including 7 androgens and α-hydroxyisovalerate (OR: 2.23; 95% CI: 1.50, 3.32); 3 vitamin E (tocopherol) derivatives (e.g., γ-CEHC; OR: 1.80; 95% CI: 1.20, 2.70); butter-associated caprate (10:0) (OR: 1.81; 95% CI: 1.23, 2.67); and fried food-associated 2-hydroxyoctanoate (OR: 1.46; 95% CI: 1.03, 2.07). No metabolites were significantly associated with ER-negative breast cancer (144 cases).Conclusions: Prediagnostic serum concentrations of metabolites related to alcohol, vitamin E, and animal fats were moderately strongly associated with ER+ breast cancer risk. Our findings show how nutritional metabolomics might identify diet-related exposures that modulate cancer risk. This trial was registered at clinicaltrials.gov as NCT00339495.
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Affiliation(s)
- Mary C Playdon
- Yale School of Public Health, Yale University, New Haven, CT; .,Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Joshua N Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | | | - Henry J Thompson
- Cancer Prevention Laboratory, Colorado State University, Fort Collins, CO
| | - Melinda L Irwin
- Yale School of Public Health, Yale University, New Haven, CT;,Yale Cancer Center, New Haven, CT; and
| | - Susan T Mayne
- Yale School of Public Health, Yale University, New Haven, CT;,US Food and Drug Administration, College Park, MD
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Steven C Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
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Gibbons H, Michielsen CJR, Rundle M, Frost G, McNulty BA, Nugent AP, Walton J, Flynn A, Gibney MJ, Brennan L. Demonstration of the utility of biomarkers for dietary intake assessment; proline betaine as an example. Mol Nutr Food Res 2017; 61. [DOI: 10.1002/mnfr.201700037] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 05/08/2017] [Accepted: 05/16/2017] [Indexed: 01/03/2023]
Affiliation(s)
- Helena Gibbons
- School of Agriculture and Food Science; Institute of Food and Health; University College Dublin; Dublin Ireland
| | - Charlotte J. R. Michielsen
- School of Agriculture and Food Science; Institute of Food and Health; University College Dublin; Dublin Ireland
| | - Milena Rundle
- Nutrition and Dietetic Research Group; Division of Endocrinology and Metabolism; Imperial College London; London U.K
| | - Gary Frost
- Nutrition and Dietetic Research Group; Division of Endocrinology and Metabolism; Imperial College London; London U.K
| | - Breige A. McNulty
- School of Agriculture and Food Science; Institute of Food and Health; University College Dublin; Dublin Ireland
| | - Anne P. Nugent
- School of Agriculture and Food Science; Institute of Food and Health; University College Dublin; Dublin Ireland
| | - Janette Walton
- School of Food and Nutritional Sciences; University College Cork; Cork Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences; University College Cork; Cork Ireland
| | - Michael J. Gibney
- School of Agriculture and Food Science; Institute of Food and Health; University College Dublin; Dublin Ireland
| | - Lorraine Brennan
- School of Agriculture and Food Science; Institute of Food and Health; University College Dublin; Dublin Ireland
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Abstract
A high intake of fruit and vegetables (FV) has been associated with reduced risk of a number of chronic diseases, including CVD. The aim of this review is to describe the potential use of biomarkers to assess FV intake. Traditional methods of assessing FV intake have limitations, and this is likely to impact on observed associations with disease outcomes and markers of disease risk. Nutritional biomarkers may offer a more objective and reliable method of assessing dietary FV intake. Some single blood biomarkers, such as plasma vitamin C and serum carotenoids, are well established as indicators of FV intake. Combining potential biomarkers of intake may more accurately predict overall FV intake within intervention studies than the use of any single biomarker. Another promising approach is metabolomic analysis of biological fluids using untargeted approaches to identify potential new biomarkers of FV intake. Using biomarkers to measure FV intake may improve the accuracy of dietary assessment.
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Posma J, Garcia-Perez I, Heaton JC, Burdisso P, Mathers JC, Draper J, Lewis M, Lindon JC, Frost G, Holmes E, Nicholson JK. Integrated Analytical and Statistical Two-Dimensional Spectroscopy Strategy for Metabolite Identification: Application to Dietary Biomarkers. Anal Chem 2017; 89:3300-3309. [PMID: 28240543 PMCID: PMC5379249 DOI: 10.1021/acs.analchem.6b03324] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Accepted: 02/27/2017] [Indexed: 11/30/2022]
Abstract
A major purpose of exploratory metabolic profiling is for the identification of molecular species that are statistically associated with specific biological or medical outcomes; unfortunately, the structure elucidation process of unknowns is often a major bottleneck in this process. We present here new holistic strategies that combine different statistical spectroscopic and analytical techniques to improve and simplify the process of metabolite identification. We exemplify these strategies using study data collected as part of a dietary intervention to improve health and which elicits a relatively subtle suite of changes from complex molecular profiles. We identify three new dietary biomarkers related to the consumption of peas (N-methyl nicotinic acid), apples (rhamnitol), and onions (N-acetyl-S-(1Z)-propenyl-cysteine-sulfoxide) that can be used to enhance dietary assessment and assess adherence to diet. As part of the strategy, we introduce a new probabilistic statistical spectroscopy tool, RED-STORM (Resolution EnhanceD SubseT Optimization by Reference Matching), that uses 2D J-resolved 1H NMR spectra for enhanced information recovery using the Bayesian paradigm to extract a subset of spectra with similar spectral signatures to a reference. RED-STORM provided new information for subsequent experiments (e.g., 2D-NMR spectroscopy, solid-phase extraction, liquid chromatography prefaced mass spectrometry) used to ultimately identify an unknown compound. In summary, we illustrate the benefit of acquiring J-resolved experiments alongside conventional 1D 1H NMR as part of routine metabolic profiling in large data sets and show that application of complementary statistical and analytical techniques for the identification of unknown metabolites can be used to save valuable time and resources.
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Affiliation(s)
- Joram
M. Posma
- Section
of Biomolecular Medicine, Division of Computational and Systems Medicine,
Department of Surgery and Cancer, Faculty of Medicine, South Kensington Campus, Imperial College London, London SW7 2AZ, United Kingdom
| | - Isabel Garcia-Perez
- Section
of Biomolecular Medicine, Division of Computational and Systems Medicine,
Department of Surgery and Cancer, Faculty of Medicine, South Kensington Campus, Imperial College London, London SW7 2AZ, United Kingdom
- Nutrition
and Dietetic Research Group, Division of Diabetes, Endocrinology and
Metabolism, Department of Medicine, Faculty of Medicine, Hammersmith Campus, Imperial College London, London W12 ONN, United Kingdom
| | - James C. Heaton
- Section
of Biomolecular Medicine, Division of Computational and Systems Medicine,
Department of Surgery and Cancer, Faculty of Medicine, South Kensington Campus, Imperial College London, London SW7 2AZ, United Kingdom
| | - Paula Burdisso
- Section
of Biomolecular Medicine, Division of Computational and Systems Medicine,
Department of Surgery and Cancer, Faculty of Medicine, South Kensington Campus, Imperial College London, London SW7 2AZ, United Kingdom
| | - John C. Mathers
- Human
Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE4 5PL, United Kingdom
| | - John Draper
- Institute
of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth SY23 3DA, United Kingdom
| | - Matt Lewis
- Section
of Biomolecular Medicine, Division of Computational and Systems Medicine,
Department of Surgery and Cancer, Faculty of Medicine, South Kensington Campus, Imperial College London, London SW7 2AZ, United Kingdom
- MRC-NIHR
National Phenome Centre, Department of Surgery and Cancer, Faculty
of Medicine, Hammersmith Campus, Imperial College London, London W12 0NN, United Kingdom
| | - John C. Lindon
- Section
of Biomolecular Medicine, Division of Computational and Systems Medicine,
Department of Surgery and Cancer, Faculty of Medicine, South Kensington Campus, Imperial College London, London SW7 2AZ, United Kingdom
| | - Gary Frost
- Nutrition
and Dietetic Research Group, Division of Diabetes, Endocrinology and
Metabolism, Department of Medicine, Faculty of Medicine, Hammersmith Campus, Imperial College London, London W12 ONN, United Kingdom
| | - Elaine Holmes
- Section
of Biomolecular Medicine, Division of Computational and Systems Medicine,
Department of Surgery and Cancer, Faculty of Medicine, South Kensington Campus, Imperial College London, London SW7 2AZ, United Kingdom
- MRC-NIHR
National Phenome Centre, Department of Surgery and Cancer, Faculty
of Medicine, Hammersmith Campus, Imperial College London, London W12 0NN, United Kingdom
| | - Jeremy K. Nicholson
- Section
of Biomolecular Medicine, Division of Computational and Systems Medicine,
Department of Surgery and Cancer, Faculty of Medicine, South Kensington Campus, Imperial College London, London SW7 2AZ, United Kingdom
- MRC-NIHR
National Phenome Centre, Department of Surgery and Cancer, Faculty
of Medicine, Hammersmith Campus, Imperial College London, London W12 0NN, United Kingdom
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O’Gorman A, Gibbons H, Ryan MF, Gibney ER, Gibney MJ, Frost GS, Roche HM, Brennan L. Exploring the Links between Diet and Health in an Irish Cohort: A Lipidomic Approach. J Proteome Res 2017; 16:1280-1287. [DOI: 10.1021/acs.jproteome.6b00912] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Aoife O’Gorman
- Institute
of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Helena Gibbons
- Institute
of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Miriam F. Ryan
- Institute
of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Eileen R. Gibney
- Institute
of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Michael J. Gibney
- Institute
of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Gary S. Frost
- Department
of Medicine, Imperial College London, London SW7 2AZ, United Kingdom
| | - Helen M. Roche
- Institute
of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
- Nutrigenomics
Research Group, UCD Conway Institute of Biomolecular and Biomedical
Research, University College Dublin, Belfield, Dublin 4, Ireland
| | - Lorraine Brennan
- Institute
of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
- Nutrigenomics
Research Group, UCD Conway Institute of Biomolecular and Biomedical
Research, University College Dublin, Belfield, Dublin 4, Ireland
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Abstract
Traditional methods for the assessment of dietary intake are prone to error; in order to improve and enhance these methods increasing interest in the identification of dietary biomarkers has materialised. Metabolomics has emerged as a key tool in the area of dietary biomarker discovery and to date the use of metabolomics has identified a number of putative biomarkers. Applications to identify novel biomarkers of intake have in general taken three approaches: (1) specific acute intervention studies to identify specific biomarkers of intake; (2) searching for biomarkers in cohort studies by correlating to self-reported intake of a specific food/food group(s); (3) analysing dietary patterns in conjunction with metabolomic profiles to identify biomarkers and nutritypes. A number of analytical technologies are employed in metabolomics as currently there is no single technique capable of measuring the entire metabolome. These approaches each have their own advantages and disadvantages. The present review will provide an overview of current technologies and applications of metabolomics in the determination of new dietary biomarkers. In addition, it will address some of the current challenges in the field and future outlooks.
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