Evidence map›Paper›PMID 40247349›Full record

ArticleNutrition journal2025

The link between ultra-processed food consumption, fecal microbiota, and metabolomic profiles in older mediterranean adults at high cardiovascular risk.

Alessandro Atzeni, Adrián Hernández-Cacho, Nadine Khoury, Nancy Babio, Clara Belzer, Jesús Vioque, Dolores Corella, Montserrat Fitó, Clary Clish, Josep Vidal and 10 more

Abstract read
In one paragraph

Article in Nutrition journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Observational
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Alessandro AtzeniCentro de Investigación Biomédica en Red - Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain. alessandro.atzeni@urv.cat.
Adrián Hernández-CachoCentro de Investigación Biomédica en Red - Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Nadine KhouryCentro de Investigación Biomédica en Red - Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Nancy BabioCentro de Investigación Biomédica en Red - Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Clara BelzerLaboratory of Microbiology, Wageningen University, Wageningen, Netherlands.
Jesús VioqueCIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Dolores CorellaCentro de Investigación Biomédica en Red - Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Montserrat FitóCentro de Investigación Biomédica en Red - Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Clary ClishMetabolomics Platform, The Broad Institute of MIT and Harvard, Boston, MA, USA.
Josep VidalCIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Prokopis KonstantiLaboratory of Microbiology, Wageningen University, Wageningen, Netherlands.
Sandra Gonzales-PalaciosCIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Oscar ColtellCentro de Investigación Biomédica en Red - Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Albert GodayCentro de Investigación Biomédica en Red - Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Isabel Moreno IndiasCentro de Investigación Biomédica en Red - Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Silvia Carlos ChillerónDepartment of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain.
Miguel Ruiz-CanelaCentro de Investigación Biomédica en Red - Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Francisco J TinahonesCentro de Investigación Biomédica en Red - Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Frank B HuDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Jordi Salas-SalvadóCentro de Investigación Biomédica en Red - Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain. jordi.salas@urv.cat.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUltra-processed food (UPF) consumption has been linked to adverse metabolic outcomes, potentially mediated by alterations in gut microbiota and metabolite production.

objectiveThis study aims to explore the cross-sectional and longitudinal associations between NOVA-classified UPF consumption, fecal microbiota, and fecal metabolome in a population of Mediterranean older adults at high cardiovascular risk.

methodsA total of 385 individuals, aged between 55 and 75 years, were included in the study. Dietary and lifestyle information, anthropometric measurements, and stool samples were collected at baseline and after 1-year follow-up. Fecal microbiota and metabolome were assessed using 16 S rRNA sequencing and liquid chromatography-tandem mass spectrometry, respectively.

resultsAt baseline, higher UPF consumption was associated with lower abundance of Ruminococcaceae incertae sedis (β = - 0.275, P = 0.047) and lower concentrations of the metabolites propionylcarnitine (β = - 0.0003, P = 0.013) and pipecolic acid (β = - 0.0003, P = 0.040) in feces. Longitudinally, increased UPF consumption was linked to reduced abundance of Parabacteroides spp. after a 1-year follow-up (β = - 0.278, P = 0.002).

conclusionsHigh UPF consumption was associated with less favorable gut microbiota and metabolite profiles, suggesting a possible link to reduced short-chain fatty acid (SCFA) production, altered mitochondrial energy metabolism, and impaired amino acid metabolism. These findings support the reduction of UPF consumption and the promotion of dietary patterns rich in fiber for better gut health. Further research is needed to confirm these associations and clarify the underlying mechanisms.

trial registrationISRCTN89898870 ( https://doi.org/10.1186/ISRCTN89898870 ).

Indexed as

Cardiovascular DiseasesDietFast FoodsFecesGastrointestinal MicrobiomeMetabolomeAgedCross-Sectional StudiesFemaleFood, ProcessedHeart Disease Risk FactorsHumansLongitudinal StudiesMaleMetabolomicsMiddle AgedCardiovascular diseaseFecal metabolitesFecal microbiotaMediterranean dietUltra-processed foods

Identifiers

PMID40247349
PMCPMC12007308

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.