Comparing metabolite profiles of habitual diet in serum and urine

American Journal of Clinical Nutrition, Год журнала: 2016, Номер 104(3), С. 776 - 789

Опубликована: Авг. 11, 2016

Язык: Английский

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The human plasma-metabolome: Reference values in 800 French healthy volunteers; impact of cholesterol, gender and age

PLoS ONE, Год журнала: 2017, Номер 12(3), С. e0173615 - e0173615

Опубликована: Март 9, 2017

Metabolomic approaches are increasingly used to identify new disease biomarkers, yet normal values of many plasma metabolites remain poorly defined. The aim this study was define the "normal" metabolome in healthy volunteers. We included 800 French volunteers aged between 18 and 86, equally distributed according sex, free any medication considered on basis their medical history, clinical examination standard laboratory tests. quantified 185 metabolites, including amino acids, biogenic amines, acylcarnitines, phosphatidylcholines, sphingomyelins hexose, using tandem mass spectrometry with Biocrates AbsoluteIDQ p180 kit. Principal components analysis applied main factors responsible for variability orthogonal projection latent structures employed confirm observed patterns pattern-related metabolites. established a metabolite reference dataset 144/185 Total blood cholesterol, gender age were identified as principal explaining variability. High total cholesterol levels associated higher phosphatidylcholines concentrations. Compared women, men had concentrations creatinine, branched-chain acids lysophosphatidylcholines, lower phosphatidylcholines. Elderly subjects than young subjects. human large well-defined population This provides an essential baseline defining its sources variation.

Язык: Английский

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Metabolic profiles of male meat eaters, fish eaters, vegetarians, and vegans from the EPIC-Oxford cohort

American Journal of Clinical Nutrition, Год журнала: 2015, Номер 102(6), С. 1518 - 1526

Опубликована: Окт. 29, 2015

Background: Human metabolism is influenced by dietary factors and lifestyle, environmental, genetic factors; thus, men who exclude some or all animal products from their diet might have different metabolic profiles than meat eaters. Objective: We aimed to investigate differences in concentrations of 118 circulating metabolites, including acylcarnitines, amino acids, biogenic amines, glycerophospholipids, hexose, sphingolipids related lipid, protein, carbohydrate between male eaters, fish vegetarians, vegans the Oxford arm European Prospective Investigation into Cancer Nutrition. Design: In this cross-sectional study, metabolites were measured mass spectrometry plasma 379 categorized according group. Differences mean metabolite across groups tested using ANOVA, a false discovery rate–controlling procedure was used account for multiple testing. Principal component analysis patterns profiles. Results: Concentrations 79% differed significantly vast majority these cases, had lowest concentration, whereas eaters most often highest sphingolipids, vegetarians acids amine. A clear separation 4 seen, with being noticeably other because lower glycerophospholipids sphingolipids. Conclusions: Metabolic could effectively differentiate habitual groups, especially vegan compared consume products. The difference mainly explained vegans.

Язык: Английский

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

British Journal Of Nutrition, Год журнала: 2020, Номер 124(3), С. 330 - 340

Опубликована: Апрель 1, 2020

Primary liver cancer is the third leading cause of cancer-related death worldwide. Most patients are diagnosed at late stages with poor prognosis; thus, identification modifiable risk factors for primary prevention urgently needed. The well-established include chronic infection hepatitis B virus (HBV) or C (HCV), heavy alcohol consumption, metabolic diseases such as obesity and diabetes, aflatoxin exposure. However, a large proportion cases worldwide cannot be explained by current known factors. Dietary have been suspected important, but dietary aetiology remains poorly understood. In this review, we summarised evaluated observational studies diet including single nutrients, food groups, well patterns developing cancer. Although there knowledge gaps between risk, epidemiological evidence supports an important role in development. For example, exposure to aflatoxin, drinking possibly dairy product (not yogurt) intake increase, while coffee, fish tea, light-to-moderate several healthy (e.g. Alternative Healthy Eating Index) may decrease risk. Future sample size accurate measurement warranted need consider issues possible aetiological heterogeneity subtypes, influence HBV HCV infection, high-risk populations cirrhosis) potential interplay host gut microbiota genetic variations.

Язык: Английский

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Determinants of the urinary and serum metabolome in children from six European populations

BMC Medicine, Год журнала: 2018, Номер 16(1)

Опубликована: Ноя. 5, 2018

Environment and diet in early life can affect development health throughout the course. Metabolic phenotyping of urine serum represents a complementary systems-wide approach to elucidate environment-health interactions. However, large-scale metabolome studies children combining analyses these biological fluids are lacking. Here, we sought characterise major determinants child define metabolite associations with age, sex, BMI dietary habits European children, by exploiting unique biobank established as part Human Early-Life Exposome project ( http://www.projecthelix.eu ).Metabolic phenotypes matched samples from 1192 (aged 6-11) recruited birth cohorts six countries were measured using high-throughput 1H nuclear magnetic resonance (NMR) spectroscopy targeted LC-MS/MS metabolomic assay (Biocrates AbsoluteIDQ p180 kit).We identified both urinary creatinine be positively associated age. z-score included novel association 4-deoxyerythreonic acid addition valine, carnitine, short-chain acylcarnitines (C3, C5), glutamate, BCAAs, lysophosphatidylcholines (lysoPC C14:0, lysoPC C16:1, C18:1, C18:2) sphingolipids (SM C16:0, SM C18:1). Dietary-metabolite creatine phosphatidylcholines (4) meat intake, (12) fish, hippurate vegetables, proline betaine fruit intake. Population-specific variance (age, BMI, ethnicity, country origin) was better captured than profile; factors explained median 9.0% amongst metabolites versus 5.1% metabolites. pathway correlations identified, concentrations corresponding significantly correlated (r > 0.18) between serum.We have pan-European reference for healthy gathered critical resources not previously available future investigations into influence on health. The cohort populations studied share common metabolic main habits. Furthermore, threonine catabolism children.

Язык: Английский

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