Alcohol consumption and serum metabolite concentrations in young women

Dorgan, Joanne F.; Jung, Seungyoun; Dallal, Cher M.; Zhan, Min; Stennett, Christina A.; Zhang, Yuji; Eckert, Richard L.; Snetselaar, Linda; Horn, Linda Van

doi:10.1007/s10552-019-01256-1

Cited by 11 publications

(8 citation statements)

References 80 publications

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“…One pathway by which the production of steroid hormones can be controlled is by the hypothalamic-pituitary-adrenal (HPA) axis [ 30 ]. Alcohol stimulates the HPA axis, which might explains the positive association between alcohol and these two metabolites [ 31 ].…”

Section: Discussionmentioning

confidence: 99%

Blood Metabolomic Profiling Confirms and Identifies Biomarkers of Food Intake

et al. 2020

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Metabolomics can be a tool to identify dietary biomarkers. However, reported food-metabolite associations have been inconsistent, and there is a need to explore further associations. Our aims were to confirm previously reported food-metabolite associations and to identify novel food-metabolite associations. We conducted a cross-sectional analysis of data from 849 participants (57% men) of the PopGen cohort. Dietary intake was obtained using FFQ and serum metabolites were profiled by an untargeted metabolomics approach. We conducted a systematic literature search to identify previously reported food-metabolite associations and analyzed these associations using linear regression. To identify potential novel food-metabolite associations, datasets were split into training and test datasets and linear regression models were fitted to the training datasets. Significant food-metabolite associations were evaluated in the test datasets. Models were adjusted for covariates. In the literature, we identified 82 food-metabolite associations. Of these, 44 associations were testable in our data and confirmed associations of coffee with 12 metabolites, of fish with five, of chocolate with two, of alcohol with four, and of butter, poultry and wine with one metabolite each. We did not identify novel food-metabolite associations; however, some associations were sex-specific. Potential use of some metabolites as biomarkers should consider sex differences in metabolism.

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Section: Discussionmentioning

confidence: 99%

Blood Metabolomic Profiling Confirms and Identifies Biomarkers of Food Intake

et al. 2020

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“…After drying, sample extracts were reconstituted in solvents compatible with each of the four analytical methods. Details of the methods have been reported previously [18,19]. Briefly, two aliquots were analyzed under acidic positive ion conditions using a C18 column.…”

Section: Metabolomics Assaysmentioning

confidence: 99%

A comparison of associations of body mass index and dual‐energy x‐ray absorptiometry measured percentage fat and total fat with global serum metabolites in young women

Dorgan

Ryan

LeBlanc

et al. 2023

Obesity

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Objective Body mass index (BMI) does not directly measure adiposity, whereas dual‐energy x‐ray absorptiometry (DXA) provides valid direct estimates of adiposity. Therefore, this study evaluated usefulness of BMI as a measure of adiposity in serum metabolomics studies. Methods A cross‐sectional analysis was conducted of 202 women aged 25 to 29 years in the Dietary Intervention Study in Children Follow‐Up Study. Heights and weights were measured, and body composition was quantified using clinical DXA protocols. Serum metabolomic profiling was performed by liquid chromatography–tandem mass spectrometry. Partial correlations of BMI, percentage fat (%FAT), and total fat (TOTFAT) with log transformed serum metabolites were calculated. Results There was significant overlap in the 93 metabolites that correlated with BMI, %FAT, and/or TOTFAT; 9 differently correlated with BMI and %FAT, whereas 15 differently correlated with BMI and TOTFAT. Even for these metabolites, absolute differences were modest. Metabolite set enrichment analysis identified diacylglycerol and sphingolipid metabolism as overrepresented among metabolites significantly correlated with all three measures of adiposity. Conclusions BMI can be a good proxy for DXA measured %FAT and TOTFAT in descriptive metabolomic studies of healthy, young White women. Larger studies in more diverse populations are needed to endorse more generalized conclusions.

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“…Altered levels of sarcosine in serum/plasma and urine have been observed in several diseases, such as type 2 diabetes 62 – 64 , narcolepsy 65 , allergic rhinitis 66 , chorioretinopathy 67 , and even in healthy persons in response to exercise 68 or in association with alcohol consumption 69 . Walters et al 70 showed in plasma from rats and humans that sarcosine is reduced with ageing and elevated by dietary restriction.…”

Section: Resultsmentioning

confidence: 99%

Plasma metabolomics of oral squamous cell carcinomas based on NMR and MS approaches provides biomarker identification and survival prediction

Polachini

Castro

Smarra

et al. 2023

Sci Rep

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Metabolomics has proven to be an important omics approach to understand the molecular pathways underlying the tumour phenotype and to identify new clinically useful markers. The literature on cancer has illustrated the potential of this approach as a diagnostic and prognostic tool. The present study aimed to analyse the plasma metabolic profile of patients with oral squamous cell carcinoma (OSCC) and controls and to compare patients with metastatic and primary tumours at different stages and subsites using nuclear magnetic resonance and mass spectrometry. To our knowledge, this is the only report that compared patients at different stages and subsites and replicates collected in diverse institutions at different times using these methodologies. Our results showed a plasma metabolic OSCC profile suggestive of abnormal ketogenesis, lipogenesis and energy metabolism, which is already present in early phases but is more evident in advanced stages of the disease. Reduced levels of several metabolites were also associated with an unfavorable prognosis. The observed metabolomic alterations may contribute to inflammation, immune response inhibition and tumour growth, and may be explained by four nonexclusive views—differential synthesis, uptake, release, and degradation of metabolites. The interpretation that assimilates these views is the cross talk between neoplastic and normal cells in the tumour microenvironment or in more distant anatomical sites, connected by biofluids, signalling molecules and vesicles. Additional population samples to evaluate the details of these molecular processes may lead to the discovery of new biomarkers and novel strategies for OSCC prevention and treatment.

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Alcohol consumption and serum metabolite concentrations in young women

Cited by 11 publications

References 80 publications

Blood Metabolomic Profiling Confirms and Identifies Biomarkers of Food Intake

Blood Metabolomic Profiling Confirms and Identifies Biomarkers of Food Intake

A comparison of associations of body mass index and dual‐energy x‐ray absorptiometry measured percentage fat and total fat with global serum metabolites in young women

Plasma metabolomics of oral squamous cell carcinomas based on NMR and MS approaches provides biomarker identification and survival prediction

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