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Noerman S, Landberg R. Blood metabolite profiles linking dietary patterns with health-Toward precision nutrition. J Intern Med 2023; 293:408-432. [PMID: 36484466 DOI: 10.1111/joim.13596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Diet is one of the most important exposures that may affect health throughout life span. Investigations on dietary patterns rather than single food components are gaining in popularity because they take the complexity of the whole dietary context into account. Adherence to such dietary patterns can be measured by using metabolomics, which allows measurements of thousands of molecules simultaneously. Derived metabolite signatures of dietary patterns may reflect the consumption of specific groups of foods or their constituents originating from the dietary pattern per se, or the physiological response toward the food-derived metabolites, their interaction with endogenous metabolism, and exogenous factors such as gut microbiota. Here, we review and discuss blood metabolite fingerprints of healthy dietary patterns. The plasma concentration of several food-derived metabolites-such as betaines from whole grains and n - 3 polyunsaturated fatty acids and furan fatty acids from fish-seems to consistently reflect the intake of common foods of several healthy dietary patterns. The metabolites reflecting shared features of different healthy food indices form biomarker panels for which specific, targeted assays could be developed. The specificity of such biomarker panels would need to be validated, and proof-of-concept feeding trials are needed to evaluate to what extent the panels may mediate the effects of dietary patterns on disease risk indicators or if they are merely food intake biomarkers. Metabolites mediating health effects may represent novel targets for precision prevention strategies of clinical relevance to be verified in future studies.
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Affiliation(s)
- Stefania Noerman
- Department of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, Gothenburg, Sweden
| | - Rikard Landberg
- Department of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, Gothenburg, Sweden
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Smith E, Ericson U, Hellstrand S, Orho-Melander M, Nilsson PM, Fernandez C, Melander O, Ottosson F. A healthy dietary metabolic signature is associated with a lower risk for type 2 diabetes and coronary artery disease. BMC Med 2022; 20:122. [PMID: 35443726 PMCID: PMC9022292 DOI: 10.1186/s12916-022-02326-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 03/08/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The global burden of cardiovascular disease and type 2 diabetes could be decreased by improving dietary factors, but identification of groups suitable for interventional approaches can be difficult. Reporting of dietary intake is prone to errors, and measuring of metabolites has shown promise in determining habitual dietary intake. Our aim is to create a metabolic signature that is associated with healthy eating and test if it associates with type 2 diabetes and coronary artery disease risk. METHODS Using plasma metabolite data consisting of 111 metabolites, partial least square (PLS) regression was used to identify a metabolic signature associated with a health conscious food pattern in the Malmö Offspring Study (MOS, n = 1538). The metabolic signature's association with dietary intake was validated in the Malmö Diet and Cancer study (MDC, n = 2521). The associations between the diet-associated metabolic signature and incident type 2 diabetes and coronary artery disease (CAD) were tested using Cox regression in MDC and logistic regression in Malmö Preventive Project (MPP, n = 1083). Modelling was conducted unadjusted (model 1), adjusted for potential confounders (model 2) and additionally for potential mediators (model 3). RESULTS The metabolic signature was associated with lower risk for type 2 diabetes in both MDC (hazard ratio: 0.58, 95% CI 0.52-0.66, per 1 SD increment of the metabolic signature) and MPP (odds ratio: 0.54, 95% CI 0.44-0.65 per 1 SD increment of the metabolic signature) in model 2. The results were attenuated but remained significant in model 3 in both MDC (hazard ratio 0.73, 95% CI 0.63-0.83) and MPP (odds ratio 0.70, 95% CI 0.55-0.88). The diet-associated metabolic signature was also inversely associated with lower risk of CAD in both MDC and MPP in model 1, but the association was non-significant in model 3. CONCLUSIONS In this proof-of-concept study, we identified a healthy diet-associated metabolic signature, which was inversely associated with future risk for type 2 diabetes and coronary artery disease in two different cohorts. The association with diabetes was independent of traditional risk factors and might illustrate an effect of health conscious dietary intake on cardiometabolic health.
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Affiliation(s)
- Einar Smith
- Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden.
| | - Ulrika Ericson
- Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden
| | - Sophie Hellstrand
- Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden
| | - Marju Orho-Melander
- Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden
| | - Peter M Nilsson
- Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden.,Department of Emergency and Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | - Céline Fernandez
- Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden
| | - Olle Melander
- Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden.,Department of Emergency and Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | - Filip Ottosson
- Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden.,Section for Clinical Mass Spectrometry, Danish Center for Neonatal Screening, Department of Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
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