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Record W2921879969 · doi:10.1093/jcag/gwz006.035

A36 HUMAN INTERLEUKIN-4 EDUCATED MACROPHAGES SUPPRESS DNBS-INDUCED COLITIS IN MICE

2019· article· en· W2921879969 on OpenAlexaff
Timothy S. Jayme, A Wang, Adam Shute, Paul L. Beck, Derek M. McKay

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldMedicine
TopicMicroscopic Colitis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsColitisInterleukin 4ImmunologyInflammationInterleukinInterleukin 10CD14MacrophageAndrologyMolecular biologyCytokineBiologyMedicineImmune systemIn vitroBiochemistry

Abstract

fetched live from OpenAlex

We have shown that adoptive transfer of IL-4 stimulated alternatively activated macrophages (AAM) (i.e. M(IL4)) into wild-type mice can inhibit colitis. Mouse models of inflammation have shown that the AAM is important for wound healing: deletion of this type of macrophage can exacerbate disease by impairing wound repair. Translating this to humans, ongoing studies in our laboratory show that human M(IL4)s promote epithelial wound repair in vitro and this process is partially TGFβ dependent. Therefore, we tested the possibility that human M(IL4)s injected into Rag1-/- mice could suppress enteric inflammation. To assess the ability of human M(IL4)s to protect against DNBS-induced colitis in Rag1-/- mice. Human blood-derived macrophages from healthy volunteer donors were exposed to IL-4 (10 ng/ml; 48h) and expression of the M(IL4) markers CD206, CD14, CCL18 was assessed by qPCR. Human M(IL4)s (1x106) or mouse bone marrow-derived M(IL4)s (10 ng/ml; 48h; 1x106), as a positive control, were injected into male Rag1-/- mice (~8 weeks old) in 250 ml PBS ip., 48h before intra-rectal administration of DNBS (3mg in 100 ml 50% ethanol) to elicit colitis (100 ml PBS for controls). Necropsies were performed three days-post DNBS and disease assessed by measuring the colon and calculating macroscopic and histologic damage scores. Macrophages from healthy donors responded to IL-4, converting to M(IL4)s as defined by increased mRNA for CD206 and CCL18 (and protein), and reduced CD14 mRNA. As before, murine M(IL4)s significantly blocked DNBS-induced colitis in Rag1-/- mice (Leung et al., Mol. Med. 2016). Moreover, systemic delivery of human M(IL4)s from 7 of 8 donors resulted in significantly less severe DNBS-induced disease. Compared to DNBS-only treated mice, those given human M(IL4s) had longer colons, reduced macroscopic disease, lower levels of conA-stimulated TNFa production by splenocytes. While average colonic histopathology scores were lower in human M(IL4)-treated mice this was not a statistically different finding. Cellular immunotherapy has the potential to be a component of personalized medicine. Here using a semi-humanized mouse model of colitis we show that treatment with human M(IL4)s substantially reduces disease severity. These data are presented as proof-of-concept support for autologous M(IL4) transfer to treat IBD. CCCNSERC CREATE

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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.008
GPT teacher head0.254
Teacher spread0.246 · 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
Published2019
Admission routes1
Has abstractyes

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