Impact of High-Fat Diet on Obesity-Related Diseases: The Role of Gut Microbiota-Derived Short-Chain Fatty Acids
Bibliographic record
Abstract
The popularity of fast food has led to a rapid global increase in high-fat diets (HFD) recently. The prevalence of HFD has raised public concerns about metabolic health. Animal studies and clinical trials have implied the alternations of gut microbiota components when HFD, thereby influencing their metabolites abundances, specifically short-chain fatty acids (SCFAs) such as acetate, propionate, and butyrate, which play important roles in host physiological activities. Alternations in intestinal flora abundance and components may also exacerbate gut permeability, potentially initiating inflammation which is a start of various chronic diseases. This review primarily explores mechanisms by which HFD induces obesity-related diseases, including metabolic dysfunction-associated steatotic liver disease, atherosclerosis, and type 2 diabetes mellitus. Additionally, this review demonstrates the role and effectiveness of intestinal flora, especially probiotics, and their derived SCFAs in preventing disease progression and promoting tissue regeneration in HFD-induced disorders. An intensive study on the significance of intestinal flora and their derived SCFAs to disease progression and therapeutic targets can help supplement the loop between microbial and host homeostasis.
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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 | 0.003 |
| 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".