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THE COENCAPSULATED HEPATOCYTES WITH BONE MARROW CELLS HEPATOCYTES VIABILITY AND FUNCTION EXTENDED BOTH IN VITRO AND IN VIVO

2004· article· en· W2077990419 on OpenAlexaff
Z C Liu, T. M. S. Chang

Bibliographic record

VenueASAIO Journal · 2004
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsMcGill University
Fundersnot available
KeywordsIn vivoViability assayBone marrowHepatocyteTransplantationIn vitroChemistryAndrologyBiologyImmunologyInternal medicineMedicineBiochemistry

Abstract

fetched live from OpenAlex

The principle of artificial cell (Chang 1964) has been used for the bioencapsulation of islet, hepatocytes and other cells for immuno-isolation (Chang et al, CJPP 1966). We are now studying a new method to prolong hepatocytes viability and function. When bone marrow cells were co-encapsulated with hepatocytes, the viability of hepatocytes in culture was prolonged to 28 days, compared to 14 days when encapsulated hepatocytes were cultured alone. The ammonia removal capacity was maintained longer when hepatocytes were co-encapsulated with bone marrow cells. In vivo viability studies showed that co-encapsulated hepatocytes with bone marrow cells increased the hepatocytes' viability. In other in vivo study, the encapsulated cells were transplanted intra-peritoneally into hyperbilirubinemia Gunn rats. Hepatocytes co-encapsulated with bone marrow cells lowered the plasma bilirubin levels and maintained this lower levels significantly longer when compared to encapsulated hepatocytes during the period of 10 weeks after transplantation. The above results show that co-encapsulating hepatocytes and bone marrow cells improves the duration of hepatocytes viability and specific function in vitro and in vivo.

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 score0.001
Threshold uncertainty score0.004

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)0.0010.000

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 head0.218
Teacher spread0.210 · 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
Published2004
Admission routes1
Has abstractyes

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