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Record W2921229297 · doi:10.1093/jcag/gwz006.040

A41 ENDOPLASMIC RETICULUM STRESSED HUMAN COLON ORGANOIDS CONDITION DENDRITIC CELLS TO A PRO-INFLAMMATORY PHENOTYPE

2019· article· en· W2921229297 on OpenAlexaff
William D. Rees, Theodore S. Steiner, Bruce A. Vallance, Martin Ståhl, Kenneth A. Jacobson

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEndoplasmic Reticulum Stress and Disease
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsEndoplasmic reticulumUnfolded protein responseOrganoidCell biologyCD80TLR5CD86BiologySecretionInflammasomeExtracellularInflammationImmune systemSignal transductionCD40ImmunologyTLR2T cellEndocrinologyTLR4BiochemistryIn vitroCytotoxic T cell

Abstract

fetched live from OpenAlex

Endoplasmic reticulum (ER) stress occurs when cellular protein modification and secretion are perturbed from accumulation of misfolded or improperly modified proteins. ER stress leads to activation of a cellular protection pathway, the unfolded protein response (UPR), to restore homeostasis. Recent studies showed that ER stress and an overactive UPR in intestinal epithelial cells (IECs) predispose to murine colitis and may underlie human IBD. We reported that two stress signals, ATP and H2O2, alter IEC toll-like receptor (TLR) signaling, and that stressed IECs condition dendritic cells (DCs) to a pro-inflammatory state. Here we aimed to assess whether extracellular (ATP) or intracellular (Tg) stress alter immune responses to FliC in human colonic organoids, and how these stressed organoids affect DC maturation. Ascending colon mucosal biopsies were differentiated into enteroids, split into monolayers, and grown for 5–7 days until confluent and polarized. Cells were stressed with 100nM Tg overnight, 100uM of ATP for 20 mins, or vehicle control; media was changed, and 1ug/ml of FliC added. 1h later, media was changed to remove residual FliC, and supernatants were after 2h. MoDCs (100,000/well) were incubated with 100ul of conditioned supernatants for 24 hours, cells were harvested, and receptor expression measured by flow cytometry. TLR5 stimulation with flagellin increased IL-8 production from organoids, and this was significantly higher in organoids pretreated with Tg (P= 0.0109). Supernatants from Organoids treated with FliC plus Tg or ATP conditioned moDCs to increase surface expression of MHCII and costimulatory molecules CD86 and CD80, and decrease expression of CD103, a tolerogenic marker. Pearson correlation analysis between the fold-change of IL-8 produced by organoids stimulated with FliC + Tg alone, compared to CD86 or CD80 upregulation revealed a statistically significant association between stress responses in the organoid IECs and DC CD80 and CD86 expression (p < 0.05 for each), suggesting that DC costimulatory marker overexpression is dependent on the presence of ATP- or Tg-induced stress more than TLR5 stimulation. Moreover, organoid gene expression of Relmβ and TSLP was increased (Relmβ: Tg 2.14, Tg+FliC 2.38; TSLP: Tg 3.82, and Tg+FliC 3.37-fold increase vs unstimulated organoids, respectively). This suggests that IL-8, Relmβ, and/or TSLP could be responsible for the maturation and pro-inflammatory shift in moDCS. We found that colonic organoids increase inflammatory responses to flagellin in the presence of ATP or ER stress, and that supernatiants from these cells condition DCs to an inflammatory surface marker phenotype. Together these findings suggest a link between the UPR in IECs and the damaging T cell responses that characterize inflammatory bowel disease. CCC, CIHR

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 score0.005
Threshold uncertainty score0.017

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.003
GPT teacher head0.208
Teacher spread0.205 · 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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