Sex- and ketogenesis-dependent effects of intermittent fasting against diet-induced obesity and fatty liver disease
Bibliographic record
Abstract
ABSTRACTS Intermittent fasting (IF) improves metabolic health, yet the requirement for hepatic ketogenesis in mediating these benefits remains unclear. Here, we investigated how hepatic ketogenesis contributes to the metabolic and hepatic effects of IF in male and female mice. In the human liver, ketogenesis-associated genes showed sex-dependent correlations with inflammatory and fibrotic pathways. In mice, fasting increased circulating ketone bodies, with females exhibiting a greater rise, indicating intrinsic sex differences in ketone metabolism. IF reduced body weight and adiposity in both sexes, and these systemic benefits persisted despite antisense oligonucleotide (ASO)-mediated knockdown of hepatic Hmgcs2 . In contrast, hepatic benefits were sex- and ketogenesis-dependent. IF markedly reduced steatosis and fibrosis in male mice, but these improvements were attenuated or abolished when hepatic ketogenesis was disrupted. Female mice showed minimal hepatic benefit from IF and displayed heightened susceptibility to steatosis, fibrosis, and inflammatory activation under ketogenic insufficiency. Single-cell transcriptomic analyses identified neutrophils and myofibroblasts as key responders to hepatocyte-derived ketone bodies, and IF suppressed neutrophil-driven inflammatory signaling in a ketogenesis-dependent manner in males but not females. Together, these findings demonstrate that while systemic metabolic improvements from IF are largely ketogenesis-independent, the hepatic anti-steatotic and anti-fibrotic effects of IF are sexually dimorphic and require intact hepatic ketogenesis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".