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Identification and validation of poly-metabolite scores for diets high in ultra-processed food: An observational study and post-hoc randomized controlled… — Europe PMC PMID:40392756

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/40392756
DOI: 10.1371/journal.pmed.1004560
License (as archived): CC0-1.0
Archived: 2026-10-06T10:16:59.956Z
SHA-256 of the archived text: 8c308ffa9ac1623382912d51111a7dbfec24d6cf0a66fc69cb6a22929cd4eb76
Stable URL of this page: https://metraipolis.com/documento/dc_81af2faaa83f

How to cite

Identification and validation of poly-metabolite scores for diets high in ultra-processed food: An observational study and post-hoc randomized controlled… — Europe PMC PMID:40392756 — Europe PMC (en), https://europepmc.org/article/MED/40392756 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_81af2faaa83f (Metraipolis archive dc_81af2faaa83f, sha256 8c308ffa9ac1623382912d51111a7dbfec24d6cf0a66fc69cb6a22929cd4eb76)

BibTeX

@misc{dc81af2faaa83f,
  title = {Identification and validation of poly-metabolite scores for diets high in ultra-processed food: An observational study and post-hoc randomized controlled… — Europe PMC PMID:40392756},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/40392756},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_81af2faaa83f; sha256 8c308ffa9ac1623382912d51111a7dbfec24d6cf0a66fc69cb6a22929cd4eb76},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: Europe PMC (en), https://europepmc.org/article/MED/40392756. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Background: Ultra-processed food (UPF) accounts for a majority of calories consumed in the United States, but the impact on human health remains unclear. We aimed to identify poly-metabolite scores in blood and urine that are predictive of UPF intake. Methods and findings: Of the 1,082 Interactive Diet and Activity Tracking in AARP (IDATA) Study (clinicaltrials.gov ID NCT03268577) participants, aged 50-74 years, who provided biospecimen consent, n = 718 with serially collected blood and urine and one to six 24-h dietary recalls (ASA-24s), collected over 12-months, met eligibility criteria and were included in the metabolomics analysis. Ultra-high performance liquid chromatography with tandem mass spectrometry was used to measure >1,000 serum and urine metabolites. Average daily UPF intake was estimated as percentage energy according to the Nova system. Partial Spearman correlations and Least Absolute Shrinkage and Selection Operator (LASSO) regression were used to estimate UPF-metabolite correlations and build poly-metabolite scores of UPF intake, respectively. Scores were tested in a post-hoc analysis of a previously conducted randomized, controlled, crossover-feeding trial (clinicaltrials.gov ID NCT03407053) of 20 subjects who were admitted to the NIH Clinical Center and randomized to consume ad libitum diets that were 80% or 0% energy from UPF for 2 weeks immediately followed by the alternate diet for 2 weeks; eligible subjects were between 18-50 years old with a body mass index of >18.5 kg/m2 and weight-stable. IDATA participants were 51% female, and 97% completed ≥4 ASA-24s. Mean intake was 50% energy from UPF. UPF intake was correlated with 191 (of 952) serum and 293 (of 1,044) 24-h urine metabolites (FDR-corrected P-value < 0.01), including lipid (n = 56 serum, n = 22 24-h urine), amino acid (n = 33, 61), carbohydrate (n = 4, 8), xenobiotic (n = 33, 70), cofactor and vitamin (n = 9, 12), peptide (n = 7, 6), and nucleotide (n = 7, 10) metabolites. Using LASSO regression, 28 serum and 33 24-h urine metabolites were selected as predictors of UPF intake; biospecimen-specific scores were calculated as a linear combination of selected metabolites. Overlapping metabolites included (S)C(S)S-S-Methylcysteine sulfoxide (rs = -0.23, -0.19), N2,N5-diacetylornithine (rs = -0.27 for serum, -0.26 for 24-h urine), pentoic acid (rs = -0.30, -0.32), and N6-carboxymethyllysine (rs = 0.15, 0.20). Within the cross-over feeding trial, the poly-metabolite scores differed, within individual, between UPF diet phases (P-value for paired t test < 0.001). IDATA Study participants were older US adults whose diets may not be reflective of other populations. Conclusions: Poly-metabolite scores, developed in IDATA participants with varying diets, are predictive of UPF intake and could advance epidemiological research on UPF and health. Poly-metabolite scores should be evaluated and iteratively improved in populations with a wide range of UPF intake.

Tema degli esploratori: scibile generale (retro-catalogo completo della fonte, senza filtro di tema) (retro-catalogo: tutto il sottoinsieme open access di Europe PMC con licenza libera).
Pubblicazione: PLoS medicine, 2025 (prima pubblicazione 2025-05-20).
Identificativi: PMID 40392756 · PMCID PMC12091781 · DOI 10.1371/journal.pmed.1004560.
Descrittori MeSH principali: Diet; Fast Foods.
Pagina: https://europepmc.org/article/MED/40392756 — https://doi.org/10.1371/journal.pmed.1004560. Autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza dell'articolo dichiarata da Europe PMC: CC0 (la versione è indicata dall'editore sulla pagina). Abstract riportato senza modifiche al contenuto, con attribuzione; deposito marcato CC0.
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