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You Are What You Eat: Application of Metabolomics Approaches to Advance Nutrition Research.

ABSTRACT: A healthy condition is defined by complex human metabolic pathways that only function properly when fully satisfied by nutritional inputs. Poor nutritional intakes are associated with a number of metabolic diseases, such as diabetes, obesity, atherosclerosis, hypertension, and osteoporosis. In recent years, nutrition science has undergone an extraordinary transformation driven by the development of innovative software and analytical platforms. However, the complexity and variety of the chemical components present in different food types, and the diversity of interactions in the biochemical networks and biological systems, makes nutrition research a complicated field. Metabolomics science is an "-omic", joining proteomics, transcriptomics, and genomics in affording a global understanding of biological systems. In this review, we present the main metabolomics approaches, and highlight the applications and the potential for metabolomics approaches in advancing nutritional food research.

SUBMITTER: Emwas AM

PROVIDER: S-EPMC8229064 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

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You Are What You Eat: Application of Metabolomics Approaches to Advance Nutrition Research.

Emwas Abdul-Hamid M AM Al-Rifai Nahla N Szczepski Kacper K Alsuhaymi Shuruq S Rayyan Saleh S Almahasheer Hanan H Jaremko Mariusz M Brennan Lorraine L Lachowicz Joanna Izabela JI

Foods (Basel, Switzerland) 20210531 6

A healthy condition is defined by complex human metabolic pathways that only function properly when fully satisfied by nutritional inputs. Poor nutritional intakes are associated with a number of metabolic diseases, such as diabetes, obesity, atherosclerosis, hypertension, and osteoporosis. In recent years, nutrition science has undergone an extraordinary transformation driven by the development of innovative software and analytical platforms. However, the complexity and variety of the chemical ...[more]

PMID: 34072780

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Project description:BackgroundUnderstanding stakeholders' perceptions is crucial to the development and implementation of any intervention. However, a structured approach to eliciting stakeholder insights into complex, multisector issues of food security, household environment and health is lacking in many low and middle-income countries. This qualitative, workshop-based participatory study explores stakeholders' experiences of developing and implementing multisector interventions to provide transdisciplinary lessons for future developments in low and middle-income countries.MethodsParticipants were purposely selected based on their involvement in, or exposure to, the multisector intervention. Participants with interests in agriculture, nutrition, household air-quality, drinking water-quality and health from academic institutes, government and developmental organisations were brought together at a one-day workshop to participate in a series of discussions on issues relating to food security, nutrition, household environment and health in Nepal. All group discussions were audio-recorded and transcribed, and a thematic qualitative analysis performed to identify relevant themes.ResultsThe government's ongoing Multisector Nutrition Plan, stakeholders' willingness to work together, availability of local infrastructure for cross-institutional inputs and increasing global movement towards transdisciplinary approaches were identified by the 33 workshop participants, representing 23 organisations as key factors determining success of transdisciplinary work. Fragmentation, lack of research-based and practice-based evidence, limited transdisciplinary knowledge amongst sectoral stakeholders, short-term funding and lack of knowledge-sharing mechanisms were identified as barriers, often creating systematic problems for successful implementation. Stakeholders suggested methods to bring about success included: improved knowledge, both amongst policy-makers and implementers, of food security and its linkage with nutrition, household environments, health and hygiene; investment in collaborative practice-based research and evidence-based practice; and strengthened transdisciplinary collaboration between multi-stakeholders, such as researchers, implementers and beneficiaries, throughout the intervention development and implementation process.ConclusionsThis study suggests that multisector approach needs to adapt to take into account the experiences and views of the stakeholders concerned. The paper offers recommendations for successful development and implementation of future multisector interventions in Nepal that can be extrapolated to other low and middle-income countries, and lays foundations for future transdisciplinary working to support realisation of the recommendations.

Project description:Personalized and precision nutrition aim to examine and improve health on an individual level, and this requires reconsideration of traditional dietary interventions or behavioral study designs. The limited frequency of measurements in group-level human nutrition trials cannot be used to infer individual responses to interventions, while in behavioral studies, retrospective data collection does not provide an accurate measure of how everyday behaviors affect individual health. This review introduces the concept of N-of-1 study designs, which involve the repeated measurement of a health outcome or behavior on an individual level. Observational designs can be used to monitor a participant's usual health or behavior in a naturalistic setting, with repeated measurements conducted in real time using an Ecological Momentary Assessment. Interventional designs can introduce a dietary or behavioral intervention with predictors and outcomes of interest measured repeatedly either during or after 1 or more intervention and control periods. Due to their flexibility, N-of-1 designs can be applied to both short-term physiological studies and longer-term studies of eating behaviors. As a growing number of disease markers can be measured outside of the clinic, with self-reported data delivered via electronic devices, it is now easier than ever to generate large amounts of data on an individual level. Statistical techniques can be utilized to analyze changes in an individual or to aggregate data from sets of N-of-1 trials, enabling hypotheses to be tested on a small number of heterogeneous individuals. Although their designs necessitate extra methodological and statistical considerations, N-of-1 studies could be used to investigate complex research questions and to study underrepresented groups. This may help to reveal novel associations between participant characteristics and health outcomes, with repeated measures providing power and precision to accurately determine an individual's health status.

Dataset Information

You Are What You Eat: Application of Metabolomics Approaches to Advance Nutrition Research.

Publications

You Are What You Eat: Application of Metabolomics Approaches to Advance Nutrition Research.

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