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Record W2110419376 · doi:10.1533/abbi.2004.0018

Deconjugation of Bile Acids with Immobilized Genetically Engineered <i>Lactobacillus plantarum</i> 80(pCBH1)

2005· article· en· W2110419376 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueApplied Bionics and Biomechanics · 2005
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaU.S. Food and Drug AdministrationCanadian Institutes of Health ResearchBristol-Myers Squibb
KeywordsHydrolysisBiochemistryChemistryDeoxycholic acidBile acidLactobacillus plantarumGlycocholic acidIn vitroSalt (chemistry)Bile Salt Export PumpAmino acidGenetically engineeredBacteriaBiologyLactic acidCholic acidOrganic chemistry

Abstract

fetched live from OpenAlex

Bile acids are important to normal human physiology. However, bile acids can be toxic when produced in pathologically high concentrations in hepatobileary and other diseases. This study shows that immobilized genetically engineered Lactobacillus plantarum 80 (pCBH1) (LP80 (pCBH1)) can efficiently hydrolyze bile acids and establishes a basis for their use. Results show that immobilized LP80 (pCBH1) is able to effectively break down the conjugated bile acids into glycodeoxycholic acid (GDCA) and taurodeoxycholic acid (TDCA) with bile salt hydrolase (BSH) activities of 0.17 and 0.07 μmol DCA/mg CDW/h, respectively. The deconjugation product, deoxycholic acid (DCA), was diminished by LP80 (pCBH1) within 4 h of initial BSH activity. This in-vitro study suggests that immobilized genetically engineered bacterial cells have important potential for deconjugation of bile acids for lowering of high levels of bile acids for therapy.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.032
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.202
Teacher spread0.195 · 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