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Record W2158608421 · doi:10.1271/bbb.90897

Proteomic Identification of Serum Proteins Associated with Stress-Induced Gastric Ulcers in Fasted Rats

2010· article· en· W2158608421 on OpenAlex
Ayako Kato, Hirotaka Naitou, Makoto Namioka, Masanobu Akimoto, Takeshi Ishii, Hiroyuki Sakakibara, Kayoko Shimoi, Tsutomu Nakayama, Norio Ohashi

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.

Bibliographic record

VenueBioscience Biotechnology and Biochemistry · 2010
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsConestoga Meat Packers (Canada)
Fundersnot available
KeywordsBlotCreatine kinaseInternal medicineEndocrinologyChemistryMedicineBiochemistryGene

Abstract

fetched live from OpenAlex

Several physical and psychological stresses frequently become triggers for gastrointestinal disorders such as ulcer. In this study, we tried to identify serum proteins as potential biomarkers for the evaluation of stress-induced gastric ulcer. By proteomic analysis using rats with gastric ulcer induced by water immersion and restraint (WIR) stress as an animal model, we found quantitative changes in several serum proteins, including creatine kinase muscle M chain (CK-M) and apolipoprotein A-IV (ApoA4) in the stressed rats. On western blotting and enzyme-linked immunosorbent assay (ELISA), we confirmed that serum CK-M was remarkably increased by WIR stress. However, ApoA4 appeared to be decreased by fasting, but not WIR stress, which is usually applied prior to WIR stress. The findings suggest that these two serum proteins might be useful as biomarkers, CK-M for stress-induced gastric ulcer and ApoA4 for starvation.

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 score0.258
Threshold uncertainty score0.388

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.008
GPT teacher head0.237
Teacher spread0.228 · 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