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ADOPTIVE TRANSFER OF SPECIFIC SUBSETS OF DENDRITIC CELLS CHANGES THE XENOGRAFT SURVIVAL AND PATTERN OF REJECTION IN A RAT-TO-MOUSE CARDIAC TRANSPLANTATION MODEL

2004· article· en· W1975030097 on OpenAlexaff
H Wang, J. Arp, Nobuyuki Kanai, W Liu, Xiaohang Huang, B. García, Wei‐Ping Min, Robert Zhong

Bibliographic record

VenueTransplantation · 2004
Typearticle
Languageen
FieldMedicine
TopicXenotransplantation and immune response
Canadian institutionsWestern University
Fundersnot available
KeywordsCD11cAdoptive cell transferCD8Dendritic cellImmune systemSyngenicImmunologyTransplantationT cellSpleenHeart transplantationCytokineFlow cytometryBiologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

O53* Aims: Dendritic cells (DCs) are major regulators of both T cell and B cell immune responses. While we have previously demonstrated that Th2 cytokines are detrimental and Th1 cytokines are beneficial to xenograft survival (Nature Medicine 2000), the immunological factors controlling cytokine profiles of anti-xeno responses remain unknown. We previously reported that CD11c+CD8α+ cells (DC1-like) were predominant in C57BL/6 recipients, in which Lewis heart grafts were slowly rejected with typical cell-mediated rejection (CMR) in 21 days. In contrast, CD11c+CD8α −(DC2-like) were predominant in BALB/c mice, in which the Lewis heart grafts were rapidly rejected with typical acute vascular rejection (AVR) in 6 days. These data suggest that DCs may play an important role in navigating xenograft immune responses. The present study was undertaken to elucidate the role of distinct subsets of DCs in controlling xenograft rejection. Methods: Purified CD8α+ or CD8α− DCs isolated from wild type (WT) BALB/c, WT C57BL/6 and IL-12−/−C57BL/6 mice were adoptively transferred into syngenic BALB/c and IL-12−/− or WT C57BL/6 mice, and recipients subsequently received Lewis rat heart grafts heterotopically 2 days after DC transfer. Intragraft cytokine expression and serum levels of anti-donor antibodies were measured by RT-PCR and flow cytometry, respectively. Results: Adoptive transfer of CD8α+ DCs into BALB/c mice shifted the immune response to Th1 with increased ratios of IFN-γ/IL-4 and IL-12/IL-4 mRNA in the grafts, and increased level of Th1 mediated anti-donor IgG2a in the circulation, thereby altering the pattern of rejection from AVR to CMR and significantly prolonging xenograft survival to 14.2 ± 0.8 days, while transfer of CD8α − DCs did not change the pattern of rejection and the grafts were rejected at 6 days. In addition, transfer of exogenous CD8α+ DCs rather than CD8α − DCs from WT C57BL/6 mice into IL-12−/− C57BL/6 mice prevented AVR and prolonged xenograft survival to 16.4 ± 0.9 days, while IL-12−/− C57BL/6 mice without transfer rapidly rejected the xenografts with AVR in 6 days. Furthermore, adoptive transfer of CD8α − DCs from IL-12−/− mice into WT C57BL/6 recipients shifted the immune response to Th2 with decreased ratios of intragraft IFN-γ/IL-4 and IL-12/IL-4 mRNA, but increased level of Th2 mediated anti-donor IgG1, thereby altering the pattern of rejection from CMR to AVR and the grafts were rapidly rejected in 9.5 ± 0.6 days. Conclusions: Transfer of CD8α+ DCs (DC1-like) induces Th1-mediated CMR and prolongs xenograft survival, whereas administration of CD8α − DCs (DC2-like) facilitates Th2-mediated AVR and accelerates xenograft rejection. These data suggest that distinct DC subclasses differentially affect the mechanism of xenograft rejection and ultimately affect graft survival.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.022
GPT teacher head0.255
Teacher spread0.233 · 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
Published2004
Admission routes1
Has abstractyes

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