Evidence map›Paper›PMID 27383981›Full record

ReviewNature2016

The microbiome and innate immunity.

Christoph A Thaiss, Niv Zmora, Maayan Levy, Eran Elinav

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06802406 (Nutrition OUtReach In Systems of Healthcare), which is not on this map. Cited by 1,032 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,032citing papers in PubMed, 2 pooled it
–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.

NCT06802406 narecruitingnot on this mapstarted 2025, after this paper: background citation

Nutrition OUtReach In Systems of Healthcare

TypeinterventionalSponsorUniversity of Kansas Medical CenterRan2025 to 2029Enrolled210ConditionsALLOGENEIC HEMATOPOIETIC STEM CELL TRANSPLANTATION, Autologous Haemopoietic Stem Cell Transplant, CAR-T Cell Therapy, Food InsecurityArmsFood Bags
3 · Its place in the literature

Who cites it

1,032 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
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  12. Effects ofJournal of animal science and technology · 2026
    Article
  13. Article
  14. Review
  15. Review
  16. Pathogens (Basel, Switzerland) · 2026
    Review
  17. Diabetes-associatedMicrobiology spectrum · 2026
    Observational
  18. Review
  19. Review
  20. Review

972 more citing papers are in PubMed but not listed here.

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.

Christoph A ThaissDepartment of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel.
Niv ZmoraDepartment of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel.
Maayan LevyDepartment of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel.
Eran ElinavDepartment of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intestinal microbiome is a signalling hub that integrates environmental inputs, such as diet, with genetic and immune signals to affect the host's metabolism, immunity and response to infection. The haematopoietic and non-haematopoietic cells of the innate immune system are located strategically at the host-microbiome interface. These cells have the ability to sense microorganisms or their metabolic products and to translate the signals into host physiological responses and the regulation of microbial ecology. Aberrations in the communication between the innate immune system and the gut microbiota might contribute to complex diseases.

Indexed as

AnimalsAutoimmunityEpigenesis, GeneticGastrointestinal MicrobiomeHumansImmunity, InnateInfectionsInflammationIntestinal MucosaLymphocytesMetabolic SyndromeMyeloid CellsNeoplasms

Identifiers

PMID27383981

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.