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Increased Expression of the Inhibitory B-Cell Molecule CD22 on CD27+IgM+ B Cells Containing ABO-Antibody-Secreting Cells: A Role in Susceptibility to B-Cell Tolerance after ABO-Incompatible Infant Heart Transplantation?

2012· article· en· W2314668519 on OpenAlexaff
K. Derkatz, E. Dijke, Bruce Motyka, Lori J. West

Bibliographic record

VenueTransplantation · 2012
Typearticle
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCD22B cellAntigenABO blood group systemCD19AntibodyImmunologyBiologyNaive B cellImmune systemFlow cytometryMolecular biologyT cellAntigen-presenting cell

Abstract

fetched live from OpenAlex

Purpose: Immune immaturity allows ABO-incompatible heart transplantation (ABOi HTx) to be performed safely in infants and generally results in B-cell tolerance to donor ABO antigens. ABO antibodies are thought to arise in a T-independent (TI) manner; TI B-cell activation has been shown to be inhibited by the interaction of the inhibitory B-cell co-receptor CD22 with sialic acids on cells and tissues, leading to B-cell tolerance. It is unknown whether CD22 plays a role in regulating B-cell responses to ABO antigens in the transplant setting. Due to the generally reduced immune response to TI-antigens in early childhood, we hypothesized an enhanced role for CD22 during infancy compared to later in life. In this study we examined CD22 expression on various B-cell subsets. In addition, we performed functional assays to determine CD22 expression after B-cell stimulation and to assess the presence of ABO antigen-specific IgM antibody-secreting cells (ASC). Methods: We analyzed human splenocytes isolated from organ donors (n=41; ages 4 days - 74 years). Flow cytometric analysis was performed to quantify the expression levels of CD22, CD27, CD38, IgM and IgG on the surface of CD19+ B cells. CD27+IgM+ B cells and CD27−IgM+ B cells were isolated from human splenocytes (n=5) by automated magnetic activated cell sorting, labelled with Cell Proliferation Dye eFluor450 and stimulated with CpG plus IL-2, IL-10 and IL-15. After one week, CD22 expression was examined by flow cytometry and the frequency of ABO antigen-specific ASC detected by ELISPOT. Results: Significant differences were observed when comparing the median fluorescence intensity (MFI) of CD22 amongst various B-cell subsets (p< 0.0001; Kruskal Wallis test). Post testing using the Dunn's multiple comparison test revealed that CD27+IgM+ B cells had higher expression (p< 0.001) than other B-cell subsets. Furthermore, the MFI of CD22 on the CD27+IgM+ B cells was inversely correlated with age (p=0.001), with infant samples having the highest level of CD22, and expression decreasing with increasing age. After culture, down-regulated CD22 expression was observed in proliferating CD27+IgM+ B cells compared to non-proliferating cells. ELISPOT analysis showed that the vast majority of ABO antigen-specific ASC were derived from the CD27+IgM+ B-cell population. Conclusion: Based on previous studies showing the inhibitory role of CD22 on B-cell activation, our findings suggest that the increased expression of CD22 on the CD27+IgM+ B-cell subset, which includes precursors of ABO antigen-specific ASC, may cause these infant B cells to be more susceptible to down-regulation of B-cell signaling leading to subsequent inactivation. CD22 may therefore play an inhibitory role in immune responses to ABO antigens in the ABOi HTx setting. Studies are underway to determine the role of CD22 in B-cell signalling and regulation during infancy.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.283
Teacher spread0.273 · 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 designObservational
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".

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Citations1
Published2012
Admission routes1
Has abstractyes

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