Tetrahydro-benzothiophene ROR gamma t Inverse Agonists to Target Th17 in a Sensitized Skin Allograft Mouse Model
Bibliographic record
Abstract
This abstract was presented at the 21st International Transplant Congress of the European Society for Organ Transplantation (ESOT 2023), held in Athens, Greece, from 17–20 September 2023. The work reports the in vivo evaluation of tetrahydro-benzothiophene RORγt inverse agonists as potential therapeutic agents to suppress Th17-mediated allograft rejection.The study describes the use of a sensitized murine skin allograft model to assess the effects of compound TF-S14, a potent RORγt inverse agonist, administered alone or in combination with tacrolimus. Graft survival, histological inflammation, and neutrophil infiltration were measured as primary endpoints. TF-S14 treatment significantly prolonged graft survival compared to control or tacrolimus monotherapy and markedly reduced inflammatory infiltration within the graft tissue. The combined regimen of TF-S14 and tacrolimus produced the strongest protective effect, extending median graft survival to 23 days.File name: Fouda_Abstract_ESOT2023_Original.pdfFile description: Original version of the abstract “Tetrahydro-benzothiophene RORγt Inverse Agonists to Target Th17 in Sensitized Skin Allograft Mouse Model.” This is the identical file submitted and published on the ESOT 2023 Virtual Congress platform (Abstract ID: 397466; Session: BOS2_12; Presented: 19 September 2023). File name: Abstract_ESOT2023_Booklet_Page109.pdfFile description: Scanned page (p. 109) of the printed Proc. Eur. Soc. Organ Transplant. Congr. 2023 booklet containing the same abstract.📍 Conference and Metadata Presented at: 21st International Transplant Congress of the European Society for Organ Transplantation (ESOT 2023) Presented on: 19 September 2023 Location: Athens, Greece Abstract Category: Transplantation Immunology Presentation Type: Poster Presentation Identifiers: Abstract ID 397466; Session BOS2_12; Presented 19 September 2023Authors: Ahmed Fouda, Mohamed-Taoubane Maallah, Sarita Negi, Steven Paraskevas, Jean Tchervenkov Affiliation: Division of Surgical and Interventional Sciences (formerly Department of Experimental Surgery), Department of Surgery, McGill University, Montreal, QC, Canada 📚 Full Citation📚 Full Citation (Printed + Virtual Version)Fouda, A.; Maallah, M. T.; Negi, S.; Paraskevas, S.; Tchervenkov, J. Tetrahydro-benzothiophene RORγt Inverse Agonists to Target Th17 in Sensitized Skin Allograft Mouse Model. In Proc. Eur. Soc. Organ Transplant. Congr. 2023; 21, p. 109, Abstract #23. 21st Congress of the European Society for Organ Transplantation (ESOT 2023), Athens, Greece, 17–20 September 2023. Also published in ESOT Virtual Congress 2023 (Abstract ID: 397466; Session: BOS2_12; Presented: 19 September 2023). DOI: 10.6084/m9.figshare.30422329. © 2023, Ahmed Fouda.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".