Evidence map›Paper›PMID 23292280›Full record

ReviewCellular & molecular immunology2013

Regulatory B cells in autoimmune diseases.

Min Yang, Ke Rui, Shengjun Wang, Liwei Lu

Open access · bronzeAbstract readReview
In one paragraph

Review in Cellular & molecular immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed
9.8field-weighted citation impact, top 1% 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

107 citing papers in PubMed, 193 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Altered B cell metabolic pathways characterize type 1 diabetes progression.Journal of immunology (Baltimore, Md. : 1950) · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Updates of the role of B-cells in ischemic stroke.Frontiers in cellular neuroscience · 2024
    Review
  11. The Involvement of LAG-3International journal of molecular sciences · 2023
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. CD19BMC immunology · 2022
    Article
  18. Review
  19. Article
  20. Article

47 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

4 authors at 2 institutions in 2 countries.

Min YangDepartment of Pathology and Center for Infection and Immunology, The University of Hong Kong, Hong Kong, China.
Ke Rui
Shengjun Wang
Liwei Lu
Jiangsu University · CNUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

B cells are generally considered to be positive regulators of the immune response because of their capability to produce antibodies, including autoantibodies. The production of antibodies facilitates optimal CD4(+) T-cell activation because B cells serve as antigen-presenting cells and exert other modulatory functions in immune responses. However, certain B cells can also negatively regulate the immune response by producing regulatory cytokines and directly interacting with pathogenic T cells via cell-to-cell contact. These types of B cells are defined as regulatory B (Breg) cells. The regulatory function of Breg cells has been demonstrated in mouse models of inflammation, cancer, transplantation, and particularly in autoimmunity. In this review, we focus on the recent advances that lead to the understanding of the development and function of Breg cells and the implications of B cells in human autoimmune diseases.

Indexed as

AnimalsAutoimmune DiseasesB-Lymphocyte SubsetsDisease Models, AnimalHumansImmunophenotypingInflammationInterleukin-10MiceTransforming Growth Factor betaInterleukin-10Transforming Growth Factor beta

Identifiers

PMID23292280
PMCPMC4003045
OpenAlexW2171593203

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.