Observational studyMetabolomics : Official journal of the Metabolomic Society2026
Associations of coffee, alcohol, medication and supplement use with the metabolome and lipidome: an observational study of premenopausal women.
Observational study in Metabolomics : Official journal of the Metabolomic Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
introductionLifestyle factors have been consistently linked to various health outcomes. However, few studies have comprehensively assessed how multiple of these factors are associated with metabolome and lipidome in a single study.
objectivesWe leveraged untargeted metabolomics and lipidomics to determine the associations of frequencies of alcohol and coffee intake, supplement and medication use, with metabolites and lipid species.
methodsThis study consists of 702 premenopausal women who provided fasting blood samples. Final analysis included 857 metabolites and 828 lipid species. Multivariable linear regression models adjusted for confounders were used to investigate the associations. We corrected for multiple testing using Benjamini-Hochberg false discovery rate (FDR adjusted p-value < 0.01) and Bonferroni correction (Bonferroni-adjusted p-value < 10
resultsAt FDR p-value < 0.01, the frequency of alcohol intake was associated with the largest number of biomarkers, including 89 lipid species (9 after Bonferroni correction) across several pathways (ceramides, phospatidylcholines, triacylglycerols, and androgenic steroids) and 123 (13 after Bonferroni correction) metabolites. Frequency of coffee intake was associated with 46 metabolites (27 after Bonferroni correction), with the strongest associations observed for quinate, 3-hydroxypyridine sulfate and trigonelline (N'-methylnicotinate). Frequency of multivitamin use was associated with 18 metabolites (6 after Bonferroni correction). Frequency of statin use was associated with 35 lipid species, respectively, but these were not significant after Bonferroni correction.
conclusionsAlcohol, coffee, and multivitamins are associated with several metabolites and lipid species. These findings offer valuable insights into potential biomarkers of exposure and molecular pathways through which these exposures may be associated with health outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.