High‐fat Meal‐induced Changes in the Duodenum Mucosa Transcriptome
Bibliographic record
Abstract
In order to identify the potential peripheral signals of appetite and satiety from duodenum, we have performed a transcriptomic study in the mucosa after high-fat (HF) and low-fat (LF) meal ingestion. After fasting, one group of mice was killed and the others were fed ad libitum with HF or LF diet, and killed 30 min, 1 h, and 3 h after the beginning of the meal. The duodenum mucosa was sampled, and the serial analysis of gene expression (SAGE) method was performed. The mRNA regulations were confirmed by real-time PCR. Energy, protein, and fat intakes were higher in the HF than in the LF group. Gene expression profile revealed 118 characterized or partially characterized differentially expressed transcripts. The HF meal delayed the expressions of peptidases compared to the LF groups. Most of mRNAs related to fat absorption, including apolipoprotein A-IV (Apoa4), were decreased in HF1h group, whereas plasma triglyceride (TG) levels were comparable between HF and LF groups. Noteworthy, these downregulations were concomitant to a break in fat intake 1 h after HF meal. At the same time, the HF meal induced transcripts related to cell growth and organization, whereas transcripts involved in cell defense were repressed. Moreover, we have identified fat-responsive transcripts. This study has characterized the molecular responses of duodenum mucosa after HF or LF meal ingestion. Characterization of novel fat-specific candidates whose relations with feeding behavior have never been reported may contribute to the development of new therapeutic targets for appetite and satiety controls.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".