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Record W2101635951 · doi:10.1186/ar3958

B cells at the adaptive-innate immune system interface in SLE

2012· article· en· W2101635951 on OpenAlexfundno aff
JH Anolik, Arumugam Palanichamy, Johann Bauer, Jennifer Barnard, Jamie N. Biear, Russell L. Dedrick, Igñacio Sanz, Jane L. Liesveld, E C Baechler

Bibliographic record

VenueArthritis Research & Therapy · 2012
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsnot available
FundersNational Institutes of HealthCanadian Arthritis NetworkNational Institute of Arthritis and Musculoskeletal and Skin DiseasesArthritis SocietyLupus Research AllianceArthritis Foundation
KeywordsRheumatologyInnate immune systemImmune systemAcquired immune systemMedicineImmunologyInterface (matter)Internal medicineComputer science

Abstract

fetched live from OpenAlex

Accumulating data indicate that inappropriate activation of type I interferon (IFN) plays a key role in the pathogenesis of systemic lupus erythematosus (SLE). Given that IFN can influence B-cell lymphopoiesis in murine bone marrow (BM), we explored the hypothesis that IFN activation in SLE BM has direct effects on B-cell development. Additionally, the impact of B cells on pDC production of IFN was examined. Peripheral blood mononuclear cells (PBMC) and bone marrow mononuclear cells (BMMC) were isolated from 28 patients fulfilling ACR criteria for SLE and from 20 healthy controls. RNA isolates were analyzed for the expression of three to five IFN-regulated genes (IFIT1, IRF7, G1P2, CEB1, C1orf29) by quantitative PCR and IFN-regulated chemokines CXCL10 (IP-10), CCL2 (MCP-1), and CCL19 (MIP-3β) defined in serum and BM supernatant. B-cell subsets were delineated in single-cell suspensions of PBMC and BMMC by multi-parameter flow cytometry. BM and PB pDCs were stimulated with TLR9 (CpG ODN 2006 or 2216) or TLR7 (R848) agonists and intracellular IFN and TNF measured by flow cytometry. The majority of SLE patients had an IFN signature in the BM (57%), which was even more pronounced than the paired PB. Notably, the early B-cell compartment (consisting of pro B cells, pre B cells, immature B cells and early transitional T1 and T2 B cells) in SLE BM with an IFN signature was associated with a reduction in the fraction of pro/pre B cells, suggesting an inhibition in early B-cell development. However, at the transitional B-cell stage this inhibition was reversed with enhanced selection of B cells into the transitional compartment. The composition of the mature B-cell compartment in IFN-activated SLE BM was notable for an expansion of CD27 , IgD switch memory B cells. SLE patients with a BM IFN signature were enriched for a high number of autoantibody specificities ( P = 0.003 compared with IFN low), and the degree of IFN activation in the BM correlated with peripheral lymphopenia ( P = 0.019) and disease activity ( P = 0.05). In order to understand the etiology of IFN activation in SLE BM, we examined the production of IFN by pDCs. CpG induced IFN production in pDCs in a dose-dependent fashion. Notably, a higher proportion of BM pDCs produced IFN compared with paired PB. Moreover, pDCs produced 59% more IFN in the presence of B cells. This is the first demonstration of an IFN signature in SLE BM. These results suggest that the BM is an important but previously unrecognized target organ in SLE with critical implications for B-cell ontogeny and selection. We postulate that in the setting of IFN activation the stringency of negative selection of autoreactive B cells in the BM may be reduced. Circulating immune complexes and apoptotic fragments in SLE BM may serve as ligands for Toll-like receptors on pDCs contributing to aberrant IFN production and, in turn, B cells may be critical regulators of pDC function.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.313
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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