Evidence map›Paper›PMID 39007602›Full record

ArticleApplied and environmental microbiology2024

Dietary fiber monosaccharide content alters gut microbiome composition and fermentation.

Nick Jensen, Maria Maldonado-Gomez, Nithya Krishnakumar, Cheng-Yu Weng, Juan Castillo, Dale Razi, Karen Kalanetra, J Bruce German, Carlito B Lebrilla, David A Mills and 1 more

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. 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

11 authors.

Nick Jensen *Department of Food Science and Technology, University of California, Davis, California, USA.
Maria Maldonado-Gomez *Department of Food Science and Technology, University of California, Davis, California, USA.
Nithya KrishnakumarDepartment of Food Science and Technology, University of California, Davis, California, USA.
Cheng-Yu WengDepartment of Chemistry, University of California, Davis, California, USA.
Juan CastilloDepartment of Chemistry, University of California, Davis, California, USA.
Dale RaziFoods for Health Institute, University of California, Davis, California, USA.
Karen KalanetraDepartment of Food Science and Technology, University of California, Davis, California, USA.
J Bruce GermanDepartment of Food Science and Technology, University of California, Davis, California, USA.
Carlito B LebrillaFoods for Health Institute, University of California, Davis, California, USA.
David A MillsDepartment of Food Science and Technology, University of California, Davis, California, USA.ORCID 0000-0003-1913-9865
Diana H TaftDepartment of Food Science and Human Nutrition, University of Florida, Gainsville, Florida, USA.ORCID 0000-0002-9306-9968

Funding

Annotating carbohydrate structures to develop markers for consumption of foodR01DK124193 · NIDDK · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEBRILLA, CARLITO B, LEMAY, DANIELLE GUYANNE · 2020 to 2024
$2.9M
Effects of Bifidobacterium Dominance on the Infant MicrobiomeF32HD093185 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI TAFT, DIANA HAZARD · 2017 to 2020
$218k
Bill and Melinda Gates Foundation (GF)Gut Microbiome Yogurt and Probiotics FellowshipHHS | National Institutes of Health (NIH) F32HD093185HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) R01DK124193Mars (Mars Incorporated)NICHD NIH HHS F32 HD093185NIDDK NIH HHS R01 DK124193
6 · The paper itself

Abstract

Members of the mammalian gut microbiota metabolize diverse complex carbohydrates that are not digested by the host, which are collectively labeled "dietary fiber." While the enzymes and transporters that each strain uses to establish a nutrient niche in the gut are often exquisitely specific, the relationship between carbohydrate structure and microbial ecology is imperfectly understood. The present study takes advantage of recent advances in complex carbohydrate structure determination to test the effects of fiber monosaccharide composition on microbial fermentation. Fifty-five fibers with varied monosaccharide composition were fermented by a pooled feline fecal inoculum in a modified MiniBioReactor array system over a period of 72 hours. The content of the monosaccharides glucose and xylose was significantly associated with the reduction of pH during fermentation, which was also predictable from the concentrations of the short-chain fatty acids lactic acid, propionic acid, and the signaling molecule indole-3-acetic acid. Microbiome diversity and composition were also predictable from monosaccharide content and SCFA concentration. In particular, the concentrations of lactic acid and propionic acid correlated with final alpha diversity and were significantly associated with the relative abundance of several of the genera, including IMPORTANCE: The survival of a microbial species in the gut depends on the availability of the nutrients necessary for that species to survive. Carbohydrates in the form of non-host digestible fiber are of particular importance, and the set of genes possessed by each species for carbohydrate consumption can vary considerably. Here, differences in the monosaccharides that are the building blocks of fiber are considered for their impact on both the survival of different species of microbes and on the levels of microbial fermentation products produced. This work demonstrates that foods with similar monosaccharide content will have consistent effects on the survival of microbial species and on the production of microbial fermentation products.

Indexed as

BacteriaDietary FiberFermentationGastrointestinal MicrobiomeMonosaccharidesAnimalsFatty Acids, VolatileFecesDietary FiberFatty Acids, VolatileMonosaccharidesanaerobesfermentationfibergut microbiomeprebiotic

Identifiers

PMID39007602
PMCPMC11337808

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.