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PS16.5: hSC-islets maintain their viability and function when shipped using gas-permeable silicone rubber membrane vessels.

2025· article· en· W4415365266 on OpenAlexaffabout
Carola Davila, Amy C. Kelly, Farida Sarangi, Jennifer P. Kitzmann, Craig Weber, M. Cristina Nostro, Thomas Loudovaris, Charles W. Putnam, Klearchos K. Papas

Bibliographic record

VenueTransplantation · 2025
Typearticle
Languageen
FieldMedicine
TopicTissue Engineering and Regenerative Medicine
Canadian institutionsStem Cell NetworkUniversity Health Network
Fundersnot available
KeywordsViability assaySilicone rubberMembrane integrityMembraneNatural rubberPropidium iodideCell functionCell survival

Abstract

fetched live from OpenAlex

Introduction: Human stem cell-derived islets (hSC-islets), offer a potentially unlimited supply of insulin-producing cells for large scale implementation of ß-cell replacement therapy. A key logistical consideration for deploying hSC-islets in a large number of geographically distant clinical or research settings is the ability to ship these cells from specialized manufacturing facilities while maintaining their viability and function. Convenient and frequently used shipment methods, such as oxygen-impermeable conical tubes, have shown to significantly compromise cell quality especially when shipped at ambient temperature. In this study, we demonstrate that hSC-islets can be shipped at room temperature using gas-permeable silicone rubber membrane vessels with high functionality and viability measured upon receipt. Methods: hSC-islet aggregates were differentiated in Dr. Nostro’s lab (Toronto, Canada) and shipped to Tucson, Arizona, USA (n=5 independent shipments) using silicone rubber membrane vessels (G-Rex®, Wilson Wolf). Vessels were placed in boxes within a Styrofoam cooler along with phase change materials. Upon receipt, hSC-islets were assessed for function by dynamic perifusion (Biorep Perifusion System), viability by membrane integrity staining (fluorescein diacetate/ propidium iodide: FDA/PI), and metabolic activity (oxygen consumption rate normalized to DNA content: OCR/DNA). Results: hSC-islets shipped internationally using silicone rubber membrane vessels arrived as intact aggregates and were viable, metabolically active, and highly functional. Membrane integrity assay showed high viability (94.6 ± 1.3%), and OCR/DNA values (175.7 ± 15.4) were higher to those of human islets isolated at the University of Arizona (n=25, 136.5 ± 5.5) [Figure 1]. Glucose-stimulated dynamic perifusion demonstrated a robust biphasic insulin secretion that was suppressed under low-glucose conditions, with a stimulation index comparable to that of human islets [Figure 2]. hSC-islets also responded to cAMP amplification (exendin-4) with significantly enhanced insulin secretion compared to glucose stimulation alone. Conclusion: These findings demonstrate that hSC-islets can be shipped internationally using silicone rubber membrane vessels while retaining high viability and functionality. This supports the potential use of hSC-islets as a promising alternative to human islets as well as the benefits of using gas-permeable vessels. Future work will include performing the same panel of assessments pre-shipment to enable direct comparisons as well as transplantation into diabetic rodents to demonstrate in vivo functionality.

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 score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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 head0.016
GPT teacher head0.255
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
Published2025
Admission routes2
Has abstractyes

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