Evidence map›Paper›PMID 37268699›Full record

ArticleScientific data2023

Curated and harmonized gut microbiome 16S rRNA amplicon data from dietary fiber intervention studies in humans.

Cynthia I Rodriguez, Ali Keshavarzian, Bruce R Hamaker, Feitong Liu, Genelle R Lunken, Heather Rasmussen, Hongwei Zhou, Julien Tap, Kelly S Swanson, Maria Ukhanova and 6 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

16 authors.

Cynthia I RodriguezDept. of Ecology and Evolutionary Biology, University of California, Irvine, USA. cirodri1@uci.edu.ORCID 0000-0003-2772-9013
Ali KeshavarzianRush Center for Integrated Microbiome and Chronobiology, Rush University Medical Center, Chicago, USA.
Bruce R HamakerWhistler Center for Carbohydrate Research and Department of Food Science, Purdue University, West Lafayette, USA.
Feitong LiuH&H Group, H&H Research, China Research and Innovation Center, Beijing, China.
Genelle R LunkenBC Children's Hospital Research Institute, Vancouver, USA.
Heather RasmussenUniversity of Nebraska-Lincoln, Department of Nutrition and Health Sciences, Lincoln, USA.
Hongwei ZhouMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, USA.ORCID 0000-0003-2472-8541
Julien TapUniversite Paris-Saclay, INRAE, MICALIS Institute, Yvette, Jouy-en-Josas, France.ORCID 0000-0001-8998-5413
Kelly S SwansonUniversity of Illinois at Urbana-Champaign, Department of Animal Sciences, Champaign, USA.
Maria UkhanovaUniversity of Florida, School of Medicine, Gainesville, USA.
Marion LeclercUniversite Paris-Saclay, INRAE, MICALIS Institute, Yvette, Jouy-en-Josas, France.
Martin GottelandDepartment of Nutrition, Faculty of Medicine, University of Chile, Santiago, Chile.
Paola NavarreteLaboratory of Microbiology and Probiotics, Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago, Chile.
Petia Kovatcheva-DatcharyInstitute for Molecular Infection Biology, University of Würzburg, Würzburg, Germany.
Wendy J DahlUniversity of Florida, Food Science and Human Nutrition Department, Gainesville, USA.
Jennifer B H MartinyDept. of Ecology and Evolutionary Biology, University of California, Irvine, USA.

Funding

T32 for Training in Microbiology & Infectious DiseasesT32AI141346 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI Celia Goulding, Melissa Bruckner Lodoen · 2019 to 2026
$1.0M
NIAID NIH HHS T32 AI141346
6 · The paper itself

Abstract

Next generation amplicon sequencing has created a plethora of data from human microbiomes. The accessibility to this scientific data and its corresponding metadata is important for its reuse, to allow for new discoveries, verification of published results, and serving as path for reproducibility. Dietary fiber consumption has been associated with a variety of health benefits that are thought to be mediated by gut microbiota. To enable direct comparisons of the response of the gut microbiome to fiber, we obtained 16S rRNA sequencing data and its corresponding metadata from 11 fiber intervention studies for a total of 2,368 samples. We provide curated and pre-processed genetic data and common metadata for comparison across the different studies.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaDietary FiberHumansReproducibility of ResultsRNA, Ribosomal, 16SDietary FiberRNA, Ribosomal, 16S

Identifiers

PMID37268699
PMCPMC10238384

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.