Evidence map›Paper›PMID 22149342›Full record

ReviewExpert review of clinical immunology2012

Dendritic cells and aging: consequences for autoimmunity.

Anshu Agrawal, Aishwarya Sridharan, Sangeetha Prakash, Harsh Agrawal

Abstract readReview
In one paragraph

Review in Expert review of clinical immunology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Trial
  2. Review
  3. Immune Aging as a Failure of Programmed Cell Death Coordination.International journal of molecular sciences · 2026
    Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Targeting Immune Senescence in Atherosclerosis.International journal of molecular sciences · 2022
    Review
  19. Age as a risk factor in vasculitis.Seminars in immunopathology · 2022
    Review
  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

4 authors.

Anshu AgrawalDivision of Basic and Clinical Immunology, Department of Medicine, University of California, Irvine, CA 92697, USA. aagrawal@uci.edu
Aishwarya Sridharan
Sangeetha Prakash
Harsh Agrawal

Funding

Dendritic cell mediated modulation of tolerance by apoptotic cells in agingR21AG027512 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI AGRAWAL, ANSHU · 2006 to 2007
$339k
NIA NIH HHS AG027512NIA NIH HHS R21 AG027512
6 · The paper itself

Abstract

The immune system has evolved to mount immune responses against foreign pathogens and to remain silent against self-antigens. A balance between immunity and tolerance is required as any disturbance may result in chronic inflammation or autoimmunity. Dendritic cells (DCs) actively participate in maintaining this balance. Under steady-state conditions, DCs remain in an immature state and do not mount an immune response against circulating self-antigens in the periphery, which maintains a state of tolerance. By contrast, foreign antigens result in DC maturation and DC-induced T-cell activation. Inappropriate maturation of DCs due to infections or tissue injury may cause alterations in the balance between the tolerogenic and immunogenic functions of DCs and instigate the development of autoimmune diseases. This article provides an overview of the effects of advancing age on DC functions and their implications in autoimmunity.

Indexed as

AutoimmunityAgingAutoantigensAutoimmune DiseasesDendritic CellsHumansInflammationLymphocyte ActivationT-LymphocytesAutoantigens

Identifiers

PMID22149342
PMCPMC3285507

What OpenQuestion holds

Textmetadata
LicenceTDM
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.