Evidence map›Paper›PMID 34020448›Full record

ArticleThe American journal of clinical nutrition2021

Associations of healthy food choices with gut microbiota profiles.

Kari K Koponen, Aaro Salosensaari, Matti O Ruuskanen, Aki S Havulinna, Satu Männistö, Pekka Jousilahti, Joonatan Palmu, Rodolfo Salido, Karenina Sanders, Caitriona Brennan and 10 more

Abstract read
In one paragraph

Article in The American journal of clinical nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 2 pooled it
–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

58 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
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  11. Frontiers in nutrition · 2026
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  18. The gut microbiome connects nutrition and human health.Nature reviews. Gastroenterology & hepatology · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Kari K KoponenDepartment of Food and Nutrition, University of Helsinki, Helsinki, Finland.
Aaro SalosensaariDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Turku, Finland.
Matti O RuuskanenDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.
Aki S HavulinnaDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.
Satu MännistöDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.
Pekka JousilahtiDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.
Joonatan PalmuDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.
Rodolfo SalidoDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Karenina SandersDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Caitriona BrennanDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Gregory C HumphreyDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Jon G SandersDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0001-6077-4014
Guillaume MericDepartment of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Australia.
Susan ChengDivision of Cardiology, Brigham and Women's Hospital, Boston, MA, USA.
Michael InouyeCambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Australia.
Mohit JainDepartments of Medicine and Pharmacology, University of California San Diego, La Jolla, CA, USA.
Teemu J NiiranenDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.
Liisa M ValstaDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.
Rob KnightDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Veikko V SalomaaDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.ORCID 0000-0001-7563-5324

Funding

Yeast Genetics and Stress Response Genes-BiomedicalP42ES010337 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TUKEY, ROBERT H · 2000 to 2022
$69.8M
Mapping the Plasma Exposome and its Association with Human Cardiovascular DiseaseR01ES027595 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JAIN, MOHIT · 2017 to 2021
$3.3M
NIEHS NIH HHS P42 ES010337NIEHS NIH HHS R01 ES027595NIH HHS R01ES027595
6 · The paper itself

Abstract

backgroundDiet has a major influence on the human gut microbiota, which has been linked to health and disease. However, epidemiological studies on associations of a healthy diet with the microbiota utilizing a whole-diet approach are still scant.

objectivesTo assess associations between healthy food choices and human gut microbiota composition, and to determine the strength of association with functional potential.

methodsThis population-based study sample consisted of 4930 participants (ages 25-74; 53% women) in the FINRISK 2002 study. Intakes of recommended foods were assessed using a food propensity questionnaire, and responses were transformed into healthy food choices (HFC) scores. Microbial diversity (alpha diversity) and compositional differences (beta diversity) and their associations with the HFC score and its components were assessed using linear regression. Multiple permutational multivariate ANOVAs were run from whole-metagenome shallow shotgun-sequenced samples. Associations between specific taxa and HFC were analyzed using linear regression. Functional associations were derived from Kyoto Encyclopedia of Genes and Genomes orthologies with linear regression models.

resultsBoth microbial alpha diversity (β/SD, 0.044; SE, 6.18 × 10-5; P = 2.21 × 10-3) and beta diversity (R2, 0.12; P ≤ 1.00 × 10-3) were associated with the HFC score. For alpha diversity, the strongest associations were observed for fiber-rich breads, poultry, fruits, and low-fat cheeses (all positive). For beta diversity, the most prominent associations were observed for vegetables, followed by berries and fruits. Genera with fiber-degrading and SCFA-producing capacities were positively associated with the HFC score. The HFC score was associated positively with functions such as SCFA metabolism and synthesis, and inversely with functions such as fatty acid biosynthesis and the sulfur relay system.

conclusionsOur results from a large, population-based survey confirm and extend findings of other, smaller-scale studies that plant- and fiber-rich dietary choices are associated with a more diverse and compositionally distinct microbiota, and with a greater potential to produce SCFAs.

Indexed as

Choice BehaviorDiet, HealthyFoodGastrointestinal MicrobiomeAdultAgedBacteriaDiet SurveysFemaleHumansMaleMiddle Agedcross-sectional studydietary scoreepidemiologyhealthy dietmetagenomicsmicrobiologymicrobiotanutrition

Identifiers

PMID34020448
PMCPMC8326043

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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.