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PD31-06 THE EFFECT OF KIDNEY PRESERVATION AT 10°C WITH HEMOPURE AND HYDROGEN SULFIDE DONOR, SODIUM THIOSULFATE, IN A SYNGENEIC RAT RENAL TRANSPLANTATION MODEL

2023· article· en· W4360607859 on OpenAlexaboutno aff
Maria Abou Taka, Alp Şener

Bibliographic record

VenueThe Journal of Urology · 2023
Typearticle
Languageen
FieldMedicine
TopicOrgan Transplantation Techniques and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSodium thiosulfateTransplantationKidneyUrologyKidney transplantationKidney diseaseCold storageInternal medicineSurgeryChemistryBiology

Abstract

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You have accessJournal of UrologyCME1 Apr 2023PD31-06 THE EFFECT OF KIDNEY PRESERVATION AT 10°C WITH HEMOPURE AND HYDROGEN SULFIDE DONOR, SODIUM THIOSULFATE, IN A SYNGENEIC RAT RENAL TRANSPLANTATION MODEL Maria Abou Taka and Alp Sener Maria Abou TakaMaria Abou Taka More articles by this author and Alp SenerAlp Sener More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003324.06AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Renal transplantation is the preferred treatment for patients with end-stage renal disease. Yet, donor kidney demand outweighs supply. Static cold storage (SCS) at 4°C is the current gold standard for renal preservation. SCS contributes to kidney damage through renal ischemia-reperfusion injury (IRI) that involves cellular death and inflammation. In porcine models of renal transplantation, we added non-FDA-approved hydrogen sulfide (H2S) donor, AP39, to a bovine-based blood substitute, Hemopure, at 21°C and 37°C, which improved renal graft quality; though, the experimental setup was costly to meet renal metabolic demand. In rats, we investigated sodium thiosulfate (STS), an FDA-approved H2S donor, at 4°C and observed similar benefits. However, there is still a risk of 4°C cold IRI. Recent studies showed that 10°C human organ graft preservation enhanced patient survival without requiring extensive oxygen during preservation. Therefore, we hypothesize that preservation solutions with STS and Hemopure at 10°C will reduce renal IRI compared to SCS. METHODS: Using an in vitro model of rat renal IRI, we evaluated STS use at 4°C, 10°C, 21°C, and 37°C. We treated rat proximal tubular epithelial cells with 150 µM STS for 24 hours in hypoxic conditions to mimic ischemia, and 24 hours in normoxic conditions to mimic reperfusion. To assess cellular viability, we used flow cytometry and stained cells with FITC-Annexin-V and PerCP-Propidium Iodide to determine apoptosis and necrosis levels, respectively. RESULTS: STS treatment significantly enhanced cellular viability at 10°C compared to 4°C, 21°C, and 37°C, as determined by the percentage of cells negatively stained with FITC-Annexin-V and PerCP-Propidium Iodide. STS treatment also significantly decreased apoptotic and necrotic cells at 10°C compared to 4°C, 21°C, and 37°C, as shown by the percentage of cells positively stained with FITC-Annexin-V and PerCP-Propidium Iodide. CONCLUSIONS: Overall, 10°C STS treatment significantly protects rat proximal tubular epithelial cells from IRI, suggesting that 10°C kidney preservation may enhance renal graft survival, especially in a cost-effective manner, compared to other preservation temperatures currently used in transplantation. Source of Funding: Ontario Graduate Scholarship, Department of Surgery Internal Research Funds, Lawson Internal Research Fund © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e902 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Maria Abou Taka More articles by this author Alp Sener More articles by this author Expand All Advertisement PDF downloadLoading ...

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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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.009
GPT teacher head0.248
Teacher spread0.239 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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