One (small) step towards precision nutrition by use of metabolomics

Bhupathiraju, Shilpa N; Hu, Frank B.

doi:10.1016/s2213-8587(17)30007-4

Cited by 19 publications

(17 citation statements)

References 11 publications

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“…This approach using high-throughput metabolomics profiling to measure intermediate molecules and products of metabolism; metabolomic profiles reflects individuals' dietary intakes and other sources of variability in metabolism (e.g. genetic variations (129) and diet-gut microbiome interplay (130) ), thereby objectively assesses the diet and metabolic responses to diet intake (131)(132)(133) .…”

Section: Soyamentioning

confidence: 99%

Diet and liver cancer risk: a narrative review of epidemiological evidence

et al. 2020

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Section: Soyamentioning

confidence: 99%

Diet and liver cancer risk: a narrative review of epidemiological evidence

et al. 2020

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“…Diet is a complex, multi-dimensional exposure, and its assessment requires a multipronged approach which may include high-throughput nutritional metabolomics complementary to traditional assessment tools such as validated dietary questionnaires and established nutrient biomarkers. To achieve the goal of precision nutrition, more efforts are needed to develop, validate, and refine assessment methods that can capture the multidimensional nature of diet [ 43 ]. Exciting new developments in the area of point-of-care diagnostics promise improved access to nutritional status assessment, which would be a first step towards tailored interventions.…”

Section: Adaptation Of Precision Nutrition Approaches In Future Stmentioning

confidence: 99%

Personalised Interventions—A Precision Approach for the Next Generation of Dietary Intervention Studies

Roos

Brennan

2017

Nutrients

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Diet is a key modifiable risk factor for non-communicable diseases. However, we currently are not benefitting from the full potential of its protective effects. This is due to a number of reasons, including high individual variability in response to certain diets. It is now well acknowledged that in order to gain the full benefit of dietary regimes it is essential to take into account individual responses. With this in mind, the present review examines the concept of precision nutrition and the performance of n-of-1 studies, and discusses the development of certain approaches that will be critical for development of the concepts.

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“…Further development of this work to obtain even more rigorous classification will be important for the advancement of this field and the potential use of the approach for examining the links between diet and health. Furthermore, work should be directed at establishing if such approaches can pick up long‐term dietary patterns …”

Section: Use Of Biomarkers To Estimate Dietary Patterns: What Is the mentioning

confidence: 99%

“…Furthermore, work should be directed at establishing if such approaches can pick up long-term dietary patterns. [26] In work by Brennan and colleagues, a cross-sectional study design was used to derive a model based on urinary metabolomic data which could classify subjects into groups with either a healthy dietary pattern or an unhealthy dietary pattern. [27] The healthy dietary patterns were characterized by higher intakes of breakfast cereals and porridge, low fat and skimmed milks, fruit, and fish, while the unhealthy dietary patterns were classified by higher intakes of chips and processed potatoes, savory snacks, and meat products.…”

Section: Use Of Biomarkers To Estimate Dietary Patterns: What Is the mentioning

confidence: 99%

Metabolomics‐Based Dietary Biomarkers in Nutritional Epidemiology—Current Status and Future Opportunities

Brennan

2018

Molecular Nutrition Food Res

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The application of metabolomics in nutrition epidemiology holds great promise and there is a high expectation that it will play a leading role in deciphering the interactions between diet and health. However, while significant progress has been made in the identification of putative biomarkers, more work is needed to address the use of the biomarkers in dietary assessment. The aim of this review is to critically evaluate progress in these areas and to identify challenges that need to be addressed going forward. The notable applications of dietary biomarkers in nutritional epidemiology include 1) determination of food intake based on biomarkers levels and calibration equations from feeding studies, 2) classification of individuals into dietary patterns based on the urinary metabolic profile, and 3) application of metabolome wide-association studies. Further work is needed to address some specific challenges to enable biomarkers to reach their full potential.

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One (small) step towards precision nutrition by use of metabolomics

Cited by 19 publications

References 11 publications

Diet and liver cancer risk: a narrative review of epidemiological evidence

Diet and liver cancer risk: a narrative review of epidemiological evidence

Personalised Interventions—A Precision Approach for the Next Generation of Dietary Intervention Studies

Metabolomics‐Based Dietary Biomarkers in Nutritional Epidemiology—Current Status and Future Opportunities

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