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Lymphocytes Can Play The Trojan-Horse Role in Polyoma BKV Infection.

2014· article· en· W2774989737 on OpenAlexaffabout
Deyaa El Deen Morsy, Lee Anne Tibbles

Bibliographic record

VenueTransplantation · 2014
Typearticle
Languageen
FieldMedicine
TopicPolyomavirus and related diseases
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsTrojan horseVirologyHorseImmunologyBiologyMedicineComputer scienceComputer security

Abstract

fetched live from OpenAlex

BKV nephropathy (BKN) is currently the leading cause of early renal allograft loss. The process starts after immune suppression following renal transplantation, which causes BK virus (BKV) reactivation, resulting in lytic injury of renal tubular epithelial cells followed by tubular inflammation, and allograft destruction. Although the role played by lymphocytes in BKN pathogenesis remains largely uncharacterized, both cellular and humoral immunity were demonstrated to be involved in BKV early elimination. Our laboratory is interested in characterizing the role played by lymphocytes in BKV pathogenesis. Using real-time polymerase chain reaction (rt-PCR) and immunoblotting, we demonstrated that BKV can infect human B and T cell lines. BKV was also shown to infect and replicate in primary lymphocytes from peripheral blood at higher efficiency than cell lines. Viral replication was associated with remarkable changes in cell shape and behaviour, with cells acquiring a refractile, fusiform appearance and becoming more adhesive. B lymphocytes infected with BKV differentiated into both memory and plasma cells, but a significant proportion of these differentiated cells were not specific for BKV proteins. These observations may provide a clue into the accumulation of plasma cells in renal transplants affected by BK nephropathy. The potential transmission of BKV virions between immune lymphocytes was confirmed by rt-PCR of CFSE-labelled BKV infected and non-infected purified lymphocytes that were previously incubated and sorted using flow cytometry. To examine the mechanism of viral transmission, we used fluorescent microscopy to image lymphocytes from PBMCs infected with BKV in vitro. Using a monoclonal antibody against VP1 capsid protein, we found that BKV induced lymphocytes to form long tiny tubules (tunneling nanotubules, TNT) that transmitted both BKV virions and large T-antigen between neighbouring cells. BKV was also transmitted between adjacent lymphocytes through direct cell-to-cell transfer. Viral transmission between lymphocytes might elucidate a viral escape mechanism that evades the host humoral immunity. Other mechanisms of viral transmission are still under investigation. This project is anticipated to establish a baseline for understanding host-viral interaction in patients with BKN, which could also help in designing tools for assessment of, and following up progression of BKN in allograft recipients. DISCLOSURES:Tibbles, L.: Grant/Research Support, Pfizer Canada, Investigator Initiated Research Grant, Other, Pfizer Canada, Support for monitoring randomized clinical trial.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score0.366

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.005
GPT teacher head0.234
Teacher spread0.228 · 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 teacher head, 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".

Quick stats

Citations0
Published2014
Admission routes2
Has abstractyes

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