Sex hormones and biomarkers of neuroprotection and neurodegeneration: implications for female reproductive events in bipolar disorder
Bibliographic record
Abstract
OBJECTIVES: Previous studies have suggested that women with bipolar disorder are at higher risk for mood episodes during periods of intense hormonal fluctuation (e.g., premenstrual, postpartum, perimenopause). There is converging literature showing that estrogen and progesterone can modulate neurotransmitter systems and intracellular signaling pathways known to be affected by mood stabilizing agents. Here, we critically review clinical aspects of reproductive cycle events in women with bipolar disorder and preclinical studies, with a focus on the functional interactions between sex hormones and biomarkers of neuroprotection and neurodegeneration that are thought to be involved in the neurobiology of bipolar disorder: brain-derived neurotrophic factor, oxidative stress, and inflammation. METHODS: A MedLine search using estrogen, progesterone, brain-derived neurotrophic factor, oxidative stress, and inflammation as key words was conducted. RESULTS: Data showed that estrogen and progesterone closely interact with brain-derived neurotrophic factor, oxidative stress, and inflammation pathways. CONCLUSIONS: This relationship between sex hormones and the pathways of neuroprotection/neurodegeneration may be relevant to the psychopathological aspects of bipolar disorder in women.
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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) | 0.001 | 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".