Evidence map›Paper›PMID 19506873›Full record

ReviewSeminars in immunopathology2009

Induction of intestinal lymphoid tissue formation by intrinsic and extrinsic signals.

Daniela Finke

Abstract readReview
PubMed Publisher
In one paragraph

Review in Seminars in immunopathology, 2009. 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
1.1field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Spatial distribution of LTi-like cells in intestinal mucosa regulates type 3 innate immunity.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Naturally transmitted segmented filamentous bacteria segregate with diabetes protection in nonobese diabetic mice.Proceedings of the National Academy of Sciences of the United States of America · 2011
    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

1 author at 1 institution in 1 country.

Daniela FinkeDepartment of Biomedicine, Developmental Immunology, University of Basel, Basel, Switzerland. Daniela.Finke@unibas.ch
Department of Biomedicine Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the discovery of inducer cells as a separate lineage for organogenesis of Peyer's patches in the small intestine of fetal mice, a lot of progress has been made in understanding the molecular pathways involved in the generation of lymphoid tissue and the maintenance of the lymphoid architecture. The findings that inducer cells also exist in adult mice and in humans, have a lineage relationship to natural killer cells, and can be stimulated during infections highlight their possible role in establishing innate and adaptive immune responses. Novel concepts in the development of intestinal lymphoid tissues have been made in the past few years suggesting that lymphoid organs are more plastic as previously thought and depend on antigenic stimulation. In addition, the generation of novel lymphoid organs in the gut under inflammatory conditions indicates a function in chronic diseases. The present review summarizes current knowledge on the basic framework of signals required for developing lymphoid tissue under normal and inflammatory conditions.

Indexed as

Immunity, InnateImmunity, MucosalAdultAnimalsChronic DiseaseHumansInflammationIntestinal DiseasesIntestinal MucosaKiller Cells, NaturalMicePeyer's Patches

Identifiers

PMID19506873
OpenAlexW2127643982

What OpenQuestion holds

Textmetadata
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.