Neurochemical and Behavioral Responses to Unpredictable Chronic Mild Stress Following Developmental Isolation: The Zebrafish as a Model for Major Depression
Bibliographic record
Abstract
Unpredictable chronic mild stress (UCMS) and developmental social isolation are often utilized in laboratory animals to mimic unpredictable life stressors and early life adversity that may contribute to the development of major depressive disorder in humans. Zebrafish (Danio rerio) have been used to examine the effects of both developmental social isolation and UCMS. However, anxiety-like behavioral responses, social behavior, and neurochemical changes induced by stressors have not been well characterized. Furthermore, the possible interaction between UCMS and developmental isolation remains unexplored. In this study, we analyzed the effect of UCMS on developmentally isolated and socially reared zebrafish. The UCMS procedure entailed delivering unpredictably varying mild stressors twice a day for 15 consecutive days. To quantify social and anxiety-like behaviors, we measured the zebrafish's behavioral and neurochemical (dopaminergic and serotonergic) responses to an animated image of conspecifics in a novel tank. Our results suggest that UCMS increased anxiety-like behavioral responses, whereas developmental isolation altered motor responses during stimulus presentation. We also found that UCMS diminished weight gain and reduced whole-brain levels of dopamine and serotonin's metabolite 5-HIAA in developmentally isolated, but not socially reared zebrafish. Our findings reinforce the utility of combining developmental isolation with UCMS in zebrafish to model depressive-like behavior in humans.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".