MétaCan
Menu
← Back to cohort

Thymic-Derived Tolerizing Dendritic Cells Are up-Regulated upon Treatment with Intravenous Immunoglobulin or Splenectomy in a Murine Model of Immune Thrombocytopenia

2015· article· en· W2564839290 on OpenAlexaff
Rick Kapur, Rukhsana Aslam, Edwin R. Speck, Michael Kim, Anne Zufferey, Li Guo, George B. Segel, Heyu Ni, John W. Semple

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsSplenectomyMedicineImmunologyAntibodySpleenPlateletRituximabImmunoglobulin GImmune systemSplenocyte

Abstract

fetched live from OpenAlex

Abstract Immune thrombocytopenia (ITP) is an autoimmune bleeding disorder characterized by low platelet counts. ITP has a complex pathogenesis, in which both anti-platelet antibodies as well as T cells have been shown to be important. Initial management of newly diagnosed ITP may be either watchful waiting or pharmacologic intervention, such as glucocorticoids or Intravenous Immunoglobulin (IVIg), a blood product consisting of polyclonal immunoglobulin G (IgG) derived from thousands of donors. Second-line therapy may include dexamethasone, high-dose methylprednisolone, rituximab, thrombopoietin (TPO)-receptor agonists, or splenectomy. The working mechanism of IVIg is actively under investigation and is still a matter of debate, as various different working mechanisms have been suggested. One of them is that IVIg may shift the balance from a pro- to anti-inflammatory state through immunomodulating the activity of dendritic cells (DCs). To gain more insights into the role of DCs in ITP, upon IVIg treatment or splenectomy, we analyzed DC subsets in a murine model of ITP, which features both the antibody and T cell mediated thrombocytopenia. Severe combined immunodeficient (SCID) mice were administrated 4x104 splenocytes from CD61 (GPIIIa) knockout mice immunized against CD61 (or naïve control splenocytes) and the mice were treated with or without 1 g/kg IVIg twice a week. Also the same type of splenocytes were transferred into splenectomized SCID mice. Weekly platelet counts were assessed and after 4 weeks the mice were sacrificed and spleen and thymuses were harvested. Splenocytes and thymocytes were isolated and examined by flow cytometry for cross-presenting (XCR1+) and non-presenting tolerizing (SIRP alpha+) DCs. Without IVIg or splenectomy, both splenic DC subset numbers correlated positively with platelet counts and both the thymic DC subset numbers correlated negatively with platelet counts, indicating thymic retention of DC in a setting of thrombocytopenia. Interestingly, splenectomized SCID mice, apart from increased platelet counts, demonstrated a complete reversal of the DC pattern in the thymus, as thymic DC subsets correlated positively with platelet counts in splenectomized mice. Upon IVIg treatment, apart from a general increase in platelet counts, the splenic tolerizing DCs significantly increased in numbers. Moreover, the thymic retention of tolerizing DCs and thus the negative correlation with platelet counts (R2: 0.46, p<0.05) was fully abrogated upon IVIg treatment (R2: 0.02, NS). Overall, our results indicate that both splenectomy as well as IVIg treatment can immunomodulate thymic tolerizing DCs significantly, in a murine model of ITP. Disclosures No relevant conflicts of interest to declare.

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 score0.001
Threshold uncertainty score0.005

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 integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.251
Teacher spread0.221 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueBlood→Same topicPlatelet Disorders and Treatments→French-language works237,207→