Evidence map›Paper›PMID 41028733›Full record

Trial reportNature communications2025

Temporal nutrition analysis associates dietary regularity and quality with gut microbiome diversity: insights from the Food & You digital cohort.

Rohan Singh, Daniel McDonald, Alejandra Rios Hernandez, Se Jin Song, Andrew Bartko, Rob Knight, Marcel Salathé

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03848299 (Personalized Nutrition & Citizen Science), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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.

NCT03848299 nacompletednot on this map

Personalized Nutrition & Citizen Science: A Healthy Diet Through Algorithms

TypeinterventionalSponsorEcole Polytechnique Fédérale de LausanneRan2019 to 2023Enrolled1,782ConditionsFood HabitsArmsExperimental: Single Arm
3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Gut microbiota-derived polyamine pathways associated with mean blood pressure.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  11. Article
  12. Review
  13. Review
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

7 authors.

Rohan SinghDigital Epidemiology Lab, School of Life Sciences, School of Computer and Communication Sciences, EPFL, Geneva, Switzerland.ORCID http://orcid.org/0000-0002-8561-0881
Daniel McDonaldDepartment of Pediatrics, University of California, San Diego, CA, USA.
Alejandra Rios HernandezDepartment of Pediatrics, University of California, San Diego, CA, USA.
Se Jin SongCenter for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-0750-5709
Andrew BartkoDepartment of Pediatrics, University of California, San Diego, CA, USA.ORCID http://orcid.org/0000-0002-1237-2747
Rob KnightDepartment of Pediatrics, University of California, San Diego, CA, USA.
Marcel SalathéDigital Epidemiology Lab, School of Life Sciences, School of Computer and Communication Sciences, EPFL, Geneva, Switzerland. marcel.salathe@epfl.ch.ORCID http://orcid.org/0000-0002-5079-7797

Funding

Mapping host-microbe-metabolite interactions in 3D to find diet-derived enhancers of immunityDP1AT010885 · NCCIH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KNIGHT, ROB · 2019 to 2023
$5.5M
NCCIH NIH HHS DP1 AT010885
6 · The paper itself

Abstract

The gut microbiota is profoundly influenced by dietary choices, with emerging evidence linking it to various health outcomes. Here, we investigate diet-microbiota associations using detailed temporal nutrition intake data captured through real-time food logging via a smartphone app and gut microbiota profiles from 16S rDNA sequencing in ~ 1,000 participants from a digital cohort on personalized nutrition ("Food & You" - clinicaltrials.gov NCT03848299). The primary outcome of the parental trial was to investigate post-meal glucose response variations between individuals in function of their individual factors such as diet, microbiome composition and lifestyle. Our analysis reaffirms that high-quality diets rich in vegetables, fruits, nuts, micronutrients, and favorable dietary indices like HEI (calculated both as standard HEI and daily HEI to capture day-to-day diet quality regularity) correlate with increased microbial diversity and improved stool quality, while fast food-rich diets show opposite effects. Regular consumption of beneficial food groups emerges as a key factor, with regularity in both food intake and diet quality sometimes showing stronger associations than average intake quantities. Machine learning analyses reveal strong bidirectional predictability between gut microbiota composition and dietary factors (ROC AUC up to ~ 0.85-0.9). These findings highlight the critical role of both diet quality and regularity in shaping gut microbiota, the importance of temporal nutrition tracking in offering insights for targeted nutritional strategies, and suggest that the gut microbiota can be used to estimate dietary indices.

Indexed as

DietGastrointestinal MicrobiomeAdultCohort StudiesFecesFeeding BehaviorFemaleHumansMachine LearningMaleRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID41028733
PMCPMC12484809

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.