Potential Benefits of Ketone Therapy as a Novel Immunometabolic Treatment for Schizophrenia
Bibliographic record
Abstract
Abstract Rationale Current treatment options for patients with schizophrenia-spectrum disorders (SSD) remain unsatisfactory, leaving patients with persistent negative and cognitive symptoms and metabolic side effects. Therapeutic ketosis was recently hypothesized to target the bio-energetic pathophysiology of SSD. However, neuro-inflammation plays an important role in the pathobiology of SSD as well. Ideally, novel treatments would target both the bio-energetic, and the inflammatory aspects of SSD. In this study, we aimed to investigate the effects of ketone bodies on neuro-inflammation in an acute inflammation mouse model. Methods 8-week-old male C57BL/6 N mice (n=11) were treated with either ketone ester (KE) or vehicle for 3 days. On day 3, a single intraperitoneal injection of lipopolysaccharide (LPS) or phosphate buffered saline (PBS) was administered. Mice were euthanized 24 h after LPS/PBS injection. Whole brain gene expression analysis using RT-PCR was done for Tnf-a, Il-6 and Il-1b . Results LPS caused a potent transcriptional upregulation of Tnf-a, Il-6 and Il-1b in the vehicle-treated mouse brain compared to PBS-injected controls. KE strongly and significantly attenuated the increased transcription of pro-inflammatory cytokines ( Tnf-a, Il-6 and Il-1b ) in the brain upon LPS injection compared to vehicle. Conclusions KE potently dampened neuro-inflammation in this acute inflammation mouse model. Ketone therapy holds great promise as a treatment for SSD patients by simultaneously targeting two main pathophysiological disease pathways. We encourage more research into the immunometabolic potential of therapeutic ketosis in SSD. Highlights A brain bio-energetic deficit and neuro-inflammation are involved in schizophrenia Ketone therapy is being investigated as a bio-energetic treatment of schizophrenia Ketone ester inhibits neuro-inflammation in an acute inflammation mouse mode Therapeutic ketosis could target both pathophysiological pathways in SSD The Immunometabolic potential of ketone therapy for SSD warrants further attention
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".