Evidence map›Paper›PMID 37432336›Full record

ArticleNutrients2023

Could Gut Microbiota Composition Be a Useful Indicator of a Long-Term Dietary Pattern?

Karin Šik Novak, Nives Bogataj Jontez, Ana Petelin, Matjaž Hladnik, Alenka Baruca Arbeiter, Dunja Bandelj, Jure Pražnikar, Saša Kenig, Nina Mohorko, Zala Jenko Pražnikar

Abstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Supplementation with abioRxiv : the preprint server for biology · 2025
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  6. Review
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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

10 authors.

Karin Šik NovakFaculty of Health Sciences, University of Primorska, Polje 42, 6310 Izola, Slovenia.ORCID 0000-0002-2814-5514
Nives Bogataj JontezFaculty of Health Sciences, University of Primorska, Polje 42, 6310 Izola, Slovenia.
Ana PetelinFaculty of Health Sciences, University of Primorska, Polje 42, 6310 Izola, Slovenia.ORCID 0000-0002-5557-5974
Matjaž HladnikFaculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Glagoljaška 8, 6000 Koper, Slovenia.ORCID 0000-0002-7955-2873
Alenka Baruca ArbeiterFaculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Glagoljaška 8, 6000 Koper, Slovenia.
Dunja BandeljFaculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Glagoljaška 8, 6000 Koper, Slovenia.
Jure PražnikarFaculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Glagoljaška 8, 6000 Koper, Slovenia.ORCID 0000-0003-1842-5181
Saša KenigFaculty of Health Sciences, University of Primorska, Polje 42, 6310 Izola, Slovenia.
Nina MohorkoFaculty of Health Sciences, University of Primorska, Polje 42, 6310 Izola, Slovenia.ORCID 0000-0001-5132-1806
Zala Jenko PražnikarFaculty of Health Sciences, University of Primorska, Polje 42, 6310 Izola, Slovenia.ORCID 0000-0002-5217-8754

Funding

Slovenian Research Agency I0-0035Slovenian Research Agency P1-0386
6 · The paper itself

Abstract

Despite the known effects of diet on gut microbiota composition, not many studies have evaluated the relationship between distinct dietary patterns and gut microbiota. The aim of our study was to determine whether gut microbiota composition could be a useful indicator of a long-term dietary pattern. We collected data from 89 subjects adhering to omnivorous, vegetarian, vegan, and low-carbohydrate, high-fat diet that were equally distributed between groups and homogenous by age, gender, and BMI. Gut microbiota composition was analyzed with a metabarcoding approach using V4 hypervariable region of the 16S rRNA gene. K-means clustering of gut microbiota at the genus level was performed and the nearest neighbor classifier was applied to predict microbiota clustering classes. Our results suggest that gut microbiota composition at the genus level is not a useful indicator of a subject's dietary pattern, with the exception of a vegan diet that is represented by a high abundance of

Indexed as

Gastrointestinal MicrobiomeMicrobiotaCluster AnalysisDiet, High-FatHumansRNA, Ribosomal, 16SRNA, Ribosomal, 16Sdietary patterngut microbiotahigh-fatlow-carbohydrateomnivorousveganvegetarian

Identifiers

PMID37432336
PMCPMC10181102

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.