Evidence map›Paper›PMID 33287179›Full record

ReviewNutrients2020

The Gut Microbiome and the Big Eight.

Cassandra Suther, Matthew D Moore, Avraham Beigelman, Yanjiao Zhou

Abstract readReview
In one paragraph

Review in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Quantitative In Silico Evaluation of Allergenic Proteins fromCurrent issues in molecular biology · 2022
    Article
  13. DietaryNutrients · 2022
    Article
  14. Review
  15. 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

4 authors.

Cassandra SutherDepartment of Food Science, University of Massachusetts, Amherst, MA 01003, USA.ORCID 0000-0002-8861-6883
Matthew D MooreDepartment of Food Science, University of Massachusetts, Amherst, MA 01003, USA.
Avraham BeigelmanKipper Institute of Allergy and Immunology, Schneider Children's Medical Center, Tel Aviv University, Tel Aviv 5891000, Israel.
Yanjiao ZhouDepartment of Medicine, University of Connecticut Health Center, Farmington, CT 06030, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food allergies are increasing at an alarming rate, with 6.5% of the general population affected. It has been hypothesized that the increase in allergies stems from the "hygiene hypothesis". The gut microbiome, a collection of microbiota and their genetic contents from the gastrointestinal tract, has been shown to play a part in the development of food allergies. The Food and Drug Administration requires all regulated food companies to clearly state an inclusion of the major, or "big eight" food allergens on packaging. This review is to provide information on the significant advancements related to the gut microbiome and each of the eight major food allergies individually. Establishment of causal connection between the microbiome and food allergies has uncovered novel mechanisms. New strategies are discussed to prevent future sensitization and reaction through novel treatments involving functional additives and dietary changes that target the microbiome.

Indexed as

AllergensAnimalsArachisBacteriaDysbiosisFatty Acids, VolatileFood HypersensitivityGastrointestinal MicrobiomeGastrointestinal TractHumansMicrobiotaMilkNutsOvumSeafoodAllergensFatty Acids, Volatilecow milk allergydysbiosisfood allergymicrobiomeshort-chain fatty acids

Identifiers

PMID33287179
PMCPMC7761723

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.