Evidence map›Paper›PMID 16984651›Full record

ArticleBMC microbiology2006

Human inflammatory bowel disease does not associate with Lawsonia intracellularis infection.

Christoph W Michalski, Fabio Francesco Di Mola, Klaus Kümmel, Michael Wendt, Jörg S Köninger, Thomas Giese, Nathalia A Giese, Helmut Friess

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 2 institutions in 1 country.

Christoph W MichalskiDepartment of General Surgery, University of Heidelberg, Im Neuenheimer Feld 110, D-69210 Heidelberg, Germany. christoph.michalski@med.uni-heidelberg.de
Fabio Francesco Di Mola
Klaus Kümmel
Michael Wendt
Jörg S Köninger
Thomas Giese
Nathalia A Giese
Helmut Friess
Heidelberg University · DEUniversity of Veterinary Medicine Hannover, Foundation · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is increasing evidence that bacterial infection of the intestinal mucosa may contribute to the pathogenesis of inflammatory bowel diseases (IBD). In pigs, an obligate intracellular bacterium, Lawsonia intracellularis (LI), was shown to cause proliferative enteropathy (PE) of which some forms display histological and clinical similarities to human IBD. Since LI-similar Desulfovibrio spp. may infect human cells, we hypothesized that LI might be associated with the development of human IBD.

resultsIn human intestinal tissue samples, PCR using LLG, 50SL27, LSA and strictly LI-specific 16SII primers, yielded either no amplicons or products with weak homology to human genomic sequences. Sequencing of these amplicons revealed no specificity for LI. However, amplification of DNA with less specific 16SI primers resulted in products bearing homology to certain Streptococcus species. These 16SI-amplified products were present in healthy and diseased specimens, without obvious prevalence.

conclusionLI is not associated with the pathogenesis of UC or CD. Whether an immunologic response to commensal bacteria such as streptococci may contribute to the chronic inflammatory condition in IBD, remained to be determined.

Indexed as

Desulfovibrionaceae InfectionsDNA, BacterialHumansInflammatory Bowel DiseasesIntestinal MucosaLawsonia BacteriaPolymerase Chain ReactionSequence Analysis, DNADNA, Bacterial

Identifiers

PMID16984651
PMCPMC1590022
OpenAlexW2153710758

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.