Evidence map›Paper›PMID 22118407›Full record

ReviewAdvances in immunology2011

Regulatory T cells in infection.

Rick M Maizels, Katherine A Smith

Abstract readReview
In one paragraph

Review in Advances in immunology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing 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

70 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Silicone breast implant-associated pathologies and T cell-mediated responses.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025
    Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Deciphering the Dual Role ofVeterinary sciences · 2024
    Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. Article

10 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

2 authors.

Rick M MaizelsInstitute of Immunology and Infection Research, University of Edinburgh, Edinburgh, UK.
Katherine A Smith

Funding

Wellcome Trust
6 · The paper itself

Abstract

Infectious agents have intimately co-evolved with the host immune system, acquiring a portfolio of highly sophisticated mechanisms to modulate immunity. Among the common strategies developed by viruses, bacteria, protozoa, helminths, and fungi is the manipulation of the regulatory T cell network in order to favor pathogen survival and transmission. Treg activity also benefits the host in many circumstances by controlling immunopathogenic reactions to infection. Interestingly, some pathogens are able to directly induce the conversion of naive T cells into suppressive Foxp3-expressing Tregs, while others activate pre-existing natural Tregs, in both cases repressing pathogen-specific effector responses. However, Tregs can also act to promote immunity in certain settings, such as in initial stages of infection when effector cells must access the site of infection, and subsequently in ensuring generation of effector memory. Notably, there is little current information on whether infections selectively drive pathogen-specific Tregs, and if so whether these cells are also reactive to self-antigens. Further analysis of specificity, together with a clearer picture of the relative dynamics of Treg subsets over the course of disease, should lead to rational strategies for immune intervention to optimize immunity and eliminate infection.

Indexed as

AnimalsBiological EvolutionHost-Pathogen InteractionsHumansImmune EvasionImmunity, CellularImmunomodulationInfectionsT-Lymphocytes, RegulatoryT-Lymphocyte Subsets

Identifiers

PMID22118407
PMCPMC7150045

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.