MétaCan
Menu
Back to cohort
Record W4252538598 · doi:10.21203/rs.2.18715/v1

Differential Leukocyte miRNA Responses Following Pan T Cell, Allorecognition and Allosecretome-Based Therapeutics Activation

2019· preprint· en· W4252538598 on OpenAlexafffund
Xining Yang, Wendy M. Toyofuku, Mark D. Scott

Bibliographic record

VenueResearch Square (Research Square) · 2019
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsCanadian Blood ServicesUniversity of British Columbia
FundersCanadian Institutes of Health ResearchHealth CanadaCentre for Blood Research, University of British ColumbiaMichael Smith Health Research BCUniversity of British ColumbiaGovernment of CanadaCanadian Blood ServicesAustralian Government
KeywordsAllorecognitionmicroRNAT cellBiologyImmunologyComputational biologyGeneGeneticsImmune system

Abstract

fetched live from OpenAlex

Abstract Background: Effective immunomodulation of T cell responses is critical in treating both autoimmune diseases and cancer. Our previous studies have demonstrated that nanoscale bioengineering of cell surfaces with methoxypolyethylene glycol (mPEG) induces a potent tolerogenic immunomodulatory effect. Moreover, secretomes derived from mPEG- or control mixed lymphocyte alloactivation assays also exerted potent immunomodulatory activity that was mediated by microRNAs (miRNA). In this study, the immunomodulatory effects of Pan T cell activators (PHA and anti-CD3/CD28), alloactivation (MHC-disparate donors; ± mPEG grafting) and biomanufactured miRNA-based allo-secretome therapeutics (SYN, TA1, IA1 and IA2) were examined on T cell proliferation, subset differentiation and leukocyte miRNA expression profiles of resting human PBMC. Results: In contrast to Pan T cell activation, allorecognition and the pro-inflammatory IA1 secretome product induced increasingly controlled proliferation of resting PBMC. The differential effects of the activation strategies were also apparent in T cell differentiation and the Teff:Treg ratio and in the miRNA expression profiles noted in the treated PBMC. In contrast, the mPEG-PBMC and TA1 secretome products inhibited alloproliferation. Importantly, the activation strategies exerted significantly different miRNA expression in the treated leukocytes that was associated with differences in proliferation and cellular differentiation. Conclusions: Immunomodulatory secretome-derived, miRNA-enriched, therapeutics can be reproducibly biomanufactured that will induce the specific bioregulatory events necessary to induce the differentiation of naïve T cells to produce a tolerogeneic (TA1) or inflammatory (IA1) response both in vitro and in vivo . The successful development and biomanufacturing of immunomodulatory, miRNA-enriched, secretome biotherapeutics may provide potent tools for the systemic treatment of autoimmune diseases or enhancing the endogenous immune response to cancer while reducing the potential adverse risks of more non-specific immunomodulatory approaches.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
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 score0.050
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0010.003
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 head0.089
GPT teacher head0.398
Teacher spread0.309 · 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; both teacher heads agree on what is shown here.

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
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueResearch Square (Research Square)Same topicMicroRNA in disease regulationFrench-language works237,207