Evidence map›Paper›PMID 17948931›Full record

ReviewWorld journal of gastroenterology2007

Innate immunity in inflammatory bowel disease.

Jesus-K Yamamoto-Furusho, Daniel-K Podolsky

Abstract readReview
In one paragraph

Review in World journal of gastroenterology, 2007. 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
3.0field-weighted citation impact, top 8% 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, 73 citations in OpenAlex.

  1. Article
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  3. Review
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  11. Article
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  14. Article
  15. Article
  16. Article
  17. Article
  18. Innate immune sensors and gastrointestinal bacterial infections.Clinical & developmental immunology · 2011
    Review
  19. MyD88 signaling in nonhematopoietic cells protects mice against induced colitis by regulating specific EGF receptor ligands.Proceedings of the National Academy of Sciences of the United States of America · 2010
    Article
  20. Dysregulation of inflammatory responses by chronic circadian disruption.Journal of immunology (Baltimore, Md. : 1950) · 2010
    Article
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

2 authors at 1 institution in 1 country.

Jesus-K Yamamoto-FurushoGastrointestinal Unit, Massachusetts General Hospital, 55 Fruit Street, Boston, Massachusetts 02114, USA. kazuofurusho@hotmail.com
Daniel-K Podolsky
Massachusetts General Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human intestinal tract is home to an enormous bacterial flora. The host defense against microorganisms can be divided into innate and adaptive immunity. The former is the most immediate line of response to immunologic challenges presented by bacteria, viruses, and fungi. The mucosal immune system has evolved to balance the need to respond to pathogens while co-existing with commensal bacteria and food antigens. In inflammatory bowel disease (IBD), this hyporesponsiveness or tolerance breaks down and inflammation supervenes driven by the intestinal microbial flora. Bacteria contain compounds and are recognized by a variety of receptors, including Toll-like receptors (TLRs) and NODs (a family of intracellular bacterial sensors) and are potent stimuli of innate immune responses. Several mutations in these receptors have been associated with development of IBD.

Indexed as

Immunity, InnateCrohn DiseaseHumansInflammatory Bowel DiseasesNod1 Signaling Adaptor ProteinNod2 Signaling Adaptor ProteinToll-Like ReceptorsNOD1 protein, humanNod1 Signaling Adaptor ProteinNOD2 protein, humanNod2 Signaling Adaptor ProteinToll-Like Receptors

Identifiers

PMID17948931
PMCPMC4172736
OpenAlexW2129682008

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.