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Record W2023497146 · doi:10.1007/s11745-002-1005-0

Rapid and improved method for the determination of bile acids in human feces using MS

2002· article· en· W2023497146 on OpenAlex
Shahid Perwaiz, Diane Mignault, Béatriz Tuchweber, Ibrahim Yousef

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

VenueLipids · 2002
Typearticle
Languageen
FieldMedicine
TopicDrug Transport and Resistance Mechanisms
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersCanadian Liver Foundation
KeywordsLithocholic acidChromatographyChemistryDeoxycholic acidHydrolysisFecesBile acidCholic acidHuman fecesBiochemistryBiologyMicrobiology

Abstract

fetched live from OpenAlex

A simple method for the determination of bile acids in adult human fecal samples using GC-MS is described. Bile acids are directly extracted from feces by ethanol (95%) containing 0.1 N NaOH. Extracts are purified by passage through a reversed-phase C18 silica cartridge and then analyzed by GC-MS. The present study has shown that lyophilized human feces contain mainly free bile acids, with lithocholic acid (LCA) and deoxycholic acid (DCA) as the major bile acids; however, isomers of LCA and DCA, keto-bile acids, and cholic acid are also present. Any traces of conjugated bile acids are hydrolyzed before the C18 extraction by deconjugating enzymes, which are present in feces and are activated by the addition of water during the homogenization step. Thus, the analysis of fecal bile acids can be performed without the hydrolysis step in less than 4 h in comparison to traditional techniques, which usually require at least 48 h.

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 score0.305
Threshold uncertainty score0.160

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 head0.037
GPT teacher head0.312
Teacher spread0.275 · 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