Evidence map›Paper›PMID 11179321›Full record

ArticleInfection and immunity2001

Mycobacterium avium invades the intestinal mucosa primarily by interacting with enterocytes.

F J Sangari, J Goodman, M Petrofsky, P Kolonoski, L E Bermudez

Abstract read
In one paragraph

Article in Infection and immunity, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Gut microbes · 2026
    Article
  2. TheMicroorganisms · 2025
    Review
  3. Review
  4. Article
  5. Article
  6. Metabolic pathways that permitFrontiers in cellular and infection microbiology · 2023
    Article
  7. Article
  8. Animals : an open access journal from MDPI · 2020
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Peyer's Patches: The Immune Sensors of the Intestine.International journal of inflammation · 2010
    Article
  18. Article
  19. Article
  20. 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

5 authors.

F J SangariKuzell Institute for Arthritis and Infectious Diseases, California Pacific Medical Center Research Institute, San Francisco, California 94115, USA.
J Goodman
M Petrofsky
P Kolonoski
L E Bermudez

Funding

Genes Associated with Mycobacterium avium PathogenesisR01AI043199 · NIAID · OREGON STATE UNIVERSITY · PI BERMUDEZ, LUIZ EDUARDO · 1999 to 2014
$4.3M
NIAID NIH HHS AI43199NIAID NIH HHS R01 AI043199
6 · The paper itself

Abstract

Previous studies have demonstrated that Mycobacterium avium can invade intestinal epithelial cells both in vitro and in vivo. When given to mice orally, M. avium preferentially interacts with the intestinal mucosa at the terminal ileum. We evaluated the mechanism(s) of M. avium binding and invasion of the intestinal mucosa using three different systems: (i) electron microscopy following administration of M. avium into an intestinal loop in mice, (ii) quantitative comparison of the bacterial load in Peyer's patch areas of the terminal ileum versus areas that do not contain Peyer's patches, and (iii) investigation of the ability of M. avium to cause disseminated infection following oral administration using B-cell-deficient mice, lacking Peyer's patches, in comparison with C57BL/6 black mice. By all approaches, M. avium was found to invade the intestinal mucosa by interacting primarily with enterocytes and not with M cells.

Indexed as

AnimalsB-LymphocytesEnterocytesFemaleIleumIntestinal MucosaMiceMice, Inbred C57BLMycobacterium aviumPeyer's Patches

Identifiers

PMID11179321
PMCPMC98050

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.