Evidence map›Paper›PMID 10493179›Full record

ReviewImmunologic research1999

Regulation of autoreactive anti-IgG (rheumatoid factor) B cells in normal and autoimmune mice.

H Wang, M J Schlomchik

Abstract readReview
PubMed Publisher
In one paragraph

Review in Immunologic research, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. 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

2 authors at 1 institution in 1 country.

H WangYale University School of Medicine, Department of Laboratory Medicine, New Haven, CT 06520-8035, USA.
M J Schlomchik
Yale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In systemic autoimmune disease, autoantibodies target specific self-components in patterns that depend on the particular underlying disease. Therefore, in order to understand how tolerance to these self-components breaks down, it is important to study B cells with those specificities, rather than artificial autoantigens. We have been investigating the regulation of autoreactive B cells with specificity for self IgG2a (the rheumatoid factor or RF specificity) in order to understand how normal mice regulate RF autoantibodies and how this fails in autoimmune mice. A transgenic (Tgic) mouse based on an RF isolated from a diseased MRL/lpr/lpr mouse was constructed and studied in both normal and autoimmune-prone genetic backgrounds. Normal mice do not appear to regulate the RF clone negatively, nor do they appear to activate it substantially. Thus, a disease-related RF is "clonally indifferent." However, in a, Fas-deficient autoimmune-prone animal, these RF B cells are activated to divide and secrete in an antigen-specific manner. A high-affinity RF Tgic mouse was also constructed to determine whether RFs could be tolerized in normal mice. These B cells were deleted or edited in the presence of the autoantigen, which originated from maternal IgG in young mice. Interestingly, shortly after weaning, many mice began to produce autoreactive RF. Escape from tolerance could last for months and was most likely perpetuated by a positive feedback mechanism. Such a mechanism could exist in autoimmune animals and could have important implications for chronic autoimmune disease, as discussed.

Indexed as

AnimalsAutoantibodiesAutoimmune DiseasesB-LymphocytesImmunoglobulin GMiceMice, TransgenicRheumatoid FactorAutoantibodiesImmunoglobulin GRheumatoid Factor

Identifiers

PMID10493179
OpenAlexW2022874912

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.