Metabolomics as a tool in nutritional research

Gibbons, Helena; O’Gorman, Aoife; Brennan, Lorraine

doi:10.1097/mol.0000000000000140

Cited by 91 publications

(61 citation statements)

References 30 publications

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“…Only one study with a small sample size using an untargeted metabolomic approach linked cord blood metabolites to rapid postnatal weight gain [15]. Untargeted metabolomics offers the potential to determine a broad range of metabolites, but interpretation of the data may be limited by non-specificity for any given metabolite class and the lack of precise quantification [16]. Our aim was to depict associations not only to weight gain but also to birth weight and later BMI in a larger sample, with the goal to detect associations despite clinical heterogeneity regarding maternal BMI and dietary intake.…”

Section: Introductionmentioning

confidence: 99%

Cord Blood Metabolome Is Highly Associated with Birth Weight, but Less Predictive for Later Weight Development

Hellmuth

Uhl²,

Standl³

et al. 2017

Obes Facts

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Background/Aims: Fetal metabolism may be changed by the exposure to maternal factors, and the route to obesity may already set in utero. Cord blood metabolites might predict growth patterns and later obesity. We aimed to characterize associations of cord blood with birth weight, postnatal weight gain, and BMI in adolescence. Methods: Over 700 cord blood samples were collected from infants participating in the German birth cohort study LISAplus. Glycerophospholipid fatty acids (GPL-FA), polar lipids, non-esterified fatty acids (NEFA), and amino acids were analyzed with a targeted, liquid chromatography-tandem mass spectrometry based metabolomics platform. Cord blood metabolites were related to growth factors by linear regression models adjusted for confounding variables. Results: Cord blood metabolites were highly associated with birth weight. Lysophosphatidylcholines C16:1, C18:1, C20:3, C18:2, C20:4, C14:0, C16:0, C18:3, GPL-FA C20:3n-9, and GPL-FA C22:5n-6 were positively related to birth weight, while higher cord blood concentrations of NEFA C22:6, NEFA C20:5, GPL-FA C18:3n-3, and PCe C38:0 were associated with lower birth weight. Postnatal weight gain and BMI z-scores in adolescents were not significantly associated with cord blood metabolites after adjustment for multiple testing. Conclusion: Potential long-term programming effects of the intrauterine environment and metabolism on later health cannot be predicted with profiling of the cord blood metabolome.

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Section: Introductionmentioning

confidence: 99%

Cord Blood Metabolome Is Highly Associated with Birth Weight, but Less Predictive for Later Weight Development

Hellmuth

Uhl²,

Standl³

et al. 2017

Obes Facts

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“…[157][158][159][160][161][162] A nutrimetabolômica, que se refere à aplicação da metabolômica na área de nutrição, permite a caracterização de fenótipos individuais, por meio da medida de centenas ou milhares de metabólitos, após a exposição a uma dieta específica, por exemplo. De um modo geral, a nutrimetabolômica está focada na descoberta de biomarcadores por meio da avaliação do efeito de uma dieta, 163 estudos de intervenção de dieta em uma rota metabólica, 164,165 e estudo da relação dieta-doença 157 ou, mais recentemente, na busca de uma dieta personalizada. 166,167 Em se tratando do estudo da relação dieta-doença, um trabalho interessante dos benefícios da dieta a base de extrato de alecrim contra câncer de cólon pode ser destacado, no qual foram aplicadas três abordagens ômicas (transcriptômica, proteômica e metabolômica), com mais de uma plataforma de análise para a metabolômica global (CE-MS, RPLC-MS e HILIC-MS).…”

Section: Foodomics E Nutriçãounclassified

Metabolômica: Definições, Estado-Da-Arte E Aplicações Representativas

Canuto¹,

Costa²,

Cruz³

et al. 2017

Quim. Nova

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METABOLOMICS: DEFINITIONS, STATE-OF-THE-ART AND REPRESENTATIVE APPLICATIONS.Metabolomics is an emerging and promising omics approach used to understand biological mechanisms. By untargeted and targeted metabolomics analyses, metabolites are determined in biological samples (fluids, cells, tissues, etc.) by comparison of control groups with altered groups, undergoing different therapies, submitted to differing stress levels, dietary modulation, or promoted by a disease, or specific condition, etc., using sophisticated analytical techniques, and advanced data treatment and statistical analyses. In this review, the concepts involved in metabolomics studies were presented, describing in details all steps involved in the metabolomics workflow, for untargeted and targeted strategies. Finally, the potential of metabolomics is illustrated by applications in representative areas: clinical, environmental, food and nutrition, forensic toxicology, microbiology, parasitology, plants, and sports. Relevant reviews were compiled to characterize each of these areas, and a corresponding application of untargeted and targeted metabolomics were described.Keywords: metabolomics; untargeted metabolomics; targeted metabolomics; metabolomics workflow. INTRODUÇÃOAs ciências ômicas buscam o entendimento do funcionamento celular dos organismos e suas alterações biológicas. Fazem parte deste conjunto de ciências, a genômica (estudo da alteração dos genes), a transcriptômica (estudo das alterações dos transcritos), a proteômica (estudo das alterações das proteínas), e a metabolômica (estudo das alterações dos metabólitos). Metabólitos são produtos intermediários ou finais do metabolismo em uma amostra biológica.1 O conjunto de todos os metabólitos de baixa massa molecular (até 1500 Da), presentes ou alterados em um sistema biológico, é chamado de metaboloma (do inglês, metabolome).2 A pesquisa relacionada a metabólitos vem sendo desenvolvida há décadas, mas em 1999, Nicholson et al. definiram a metabonômica (do inglês, metabonomics), como sendo a medida quantitativa da resposta metabólica de um sistema biológico após estímulos fisiopatológicos ou modificações genéticas.3 Já o termo metabolômica (do inglês, metabolomics) foi introduzido em 2001, por Oliver Fiehn, como sendo a análise abrangente e quantitativa do metaboloma de um sistema biológico. 4 Além disso, a literatura nos apresenta outras denominações envolvendo esse campo da ciência, tais como: perfil metabólico (do inglês, metabolic profiling), descrito como sendo a análise de metabólitos previamente selecionados de rotas bioquímicas específicas, 5 a impressão digital metabólica (do inglês, metabolic fingerprinting), que é definida como sendo "uma classificação de amostras de acordo com sua origem ou sua relevância biológica", 3 e, por último, análise footprinting (ainda sem tradução para o português), para se referir aos metabólitos excretados por uma célula em condições controladas. Observa-se, portanto, uma divergência em relação às terminologias aplicadas às análises metabolômic...

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“…The past few year have seen major progresses in high throughput proteomics and metabolomics technologies (Breker and Schuldiner, 2014; Gibbons et al, 2015; Sauer and Luge, 2015), greatly expanding the informative molecular dimensions when monitoring the effects of nutrition. Now it is possible to measure the abundance and post-trans lational modifications of hundreds of proteins as well as hundreds or thousands of metabolites to capture key pathways affected by nutritional or dietary modulation (Gibbons et al, 2015). …”

Section: Challenges Posed By the Multiple Effects Of Diet On Brain Camentioning

confidence: 99%

System biology approach intersecting diet and cell metabolism with pathogenesis of brain disorders

Gómez‐Pinilla

Yang

2018

Progress in Neurobiology

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The surge in meals high in calories has prompted an epidemic of metabolic disorders around the world such that the elevated incidence of obese and diabetic individuals is alarming. New research indicates that metabolic disorders pose a risk for neurological and psychiatric conditions including stroke, Alzheimer’s disease, Huntington’s disease, and depression, all of which have a metabolic component. These relationships are rooted to a dysfunctional interaction between molecular processes that regulate energy metabolism and synaptic plasticity. The strong adaptive force of dietary factors on shaping the brain during evolution can be manipulated to trans form the interaction between cell bioenergetics and epigenome with the aptitude to promote long-lasting brain healthiness. A thorough understanding of the association between the broad action of nutrients and brain fitness requires high level data processing empowered with the capacity to integrate information from a multitude of molecular entities and pathways. Nutritional systems biology is emerging as a viable approach to elucidate the multiple molecular layers involved in information processing in cells, tissues, and organ systems in response to diet. Information about the wide range of cellular and molecular interactions elicited by foods on the brain and cognitive plasticity is crucial for the design of public health initiatives for curtailing the epidemic of metabolic and brain disorders.

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Metabolomics as a tool in nutritional research

Abstract: Metabolomics has made a significant impact on all the areas identified above and is set to have a major impact on the study of diet-health relationships.

Cited by 91 publications

References 30 publications

Cord Blood Metabolome Is Highly Associated with Birth Weight, but Less Predictive for Later Weight Development

Cord Blood Metabolome Is Highly Associated with Birth Weight, but Less Predictive for Later Weight Development

Metabolômica: Definições, Estado-Da-Arte E Aplicações Representativas

System biology approach intersecting diet and cell metabolism with pathogenesis of brain disorders

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