Evidence map›Paper›PMID 30139999›Full record

ArticleScientific reports2018

Predictability and persistence of prebiotic dietary supplementation in a healthy human cohort.

Thomas Gurry, HST Microbiome Consortium*, Sean M Gibbons, Le Thanh Tu Nguyen, Sean M Kearney, Ashwin Ananthakrishnan, Xiaofang Jiang, Claire Duvallet, Zain Kassam, Eric J Alm

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.8field-weighted citation impact, top 2% of its field
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

28 citing papers in PubMed, 69 citations in OpenAlex.

  1. Trial
  2. Diagnosing and engineering gut microbiomes.EMBO molecular medicine · 2024
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Microbiome-based therapeutics.Nature reviews. Microbiology · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Metabolic Response ofMicroorganisms · 2020
    Article
  15. Article
  16. Article
  17. Marine Microalgae,Marine drugs · 2020
    Article
  18. Article
  19. A Guide to Diet-Microbiome Study Design.Frontiers in nutrition · 2020
    Review
  20. 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

10 authors at 5 institutions in 1 country.

Thomas GurryDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
HST Microbiome Consortium*
Sean M GibbonsDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Le Thanh Tu NguyenDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Sean M KearneyDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Ashwin AnanthakrishnanDivision of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Xiaofang JiangDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Claire DuvalletDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Zain KassamDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Eric J AlmDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. ejalm@mit.edu.
Massachusetts Institute of Technology · USHarvard–MIT Division of Health Sciences and Technology · USBroad Institute · USHarvard University · USOpenBiome · US

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1991 to 2026
$35.3M
NIDDK NIH HHS P30 DK043351NIGMS NIH HHS T32 GM007753
6 · The paper itself

Abstract

Dietary interventions to manipulate the human gut microbiome for improved health have received increasing attention. However, their design has been limited by a lack of understanding of the quantitative impact of diet on a host's microbiota. We present a highly controlled diet perturbation experiment in a healthy, human cohort in which individual micronutrients are spiked in against a standardized background. We identify strong and predictable responses of specific microbes across participants consuming prebiotic spike-ins, at the level of both strains and functional genes, suggesting fine-scale resource partitioning in the human gut. No predictable responses to non-prebiotic micronutrients were found. Surprisingly, we did not observe decreases in day-to-day variability of the microbiota compared to a complex, varying diet, and instead found evidence of diet-induced stress and an associated loss of biodiversity. Our data offer insights into the effect of a low complexity diet on the gut microbiome, and suggest that effective personalized dietary interventions will rely on functional, strain-level characterization of a patient's microbiota.

Indexed as

Dietary SupplementsPrebioticsAdultGastrointestinal MicrobiomeHumansPolymorphism, Single NucleotideYoung AdultPrebiotics

Identifiers

PMID30139999
PMCPMC6107591
OpenAlexW2953324191

What OpenQuestion holds

Textmetadata
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.