Cerebrospinal fluid irisin and lipoxin A4 are reduced in elderly Brazilian individuals with depression: Insight into shared mechanisms between depression and dementia
Bibliographic record
Abstract
INTRODUCTION: Depression is frequent among older adults and is a risk factor for dementia. Identifying molecular links between depression and dementia is necessary to shed light on shared disease mechanisms. Reduced brain-derived neurotrophic factor (BDNF) and neuroinflammation are implicated in the pathophysiology of depression and dementia. The exercise-induced hormone, irisin, increases BDNF and improves cognition in animal models of Alzheimer's disease. Lipoxin A4 is a lipid mediator with anti-inflammatory activity. However, the roles of irisin and lipoxin A4 in depression remain to be determined. METHODS: In the present study, blood and CSF were collected from 61 elderly subjects, including individuals with and without cognitive impairment. Screening for symptoms of depression was performed using the 15-item Geriatric Depression Scale (GDS-15). RESULTS: CSF irisin and lipoxin A4 were positively correlated and reduced, along with a trend of BDNF reduction, in elderly individuals with depression, similar to previous observations in patients with dementia. DISCUSSION: Our findings provide novel insight into shared molecular signatures connecting depression and dementia.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".