Parturition in <i>Anodonta cygnea</i> induced by selective serotonin reuptake inhibitors (SSRIs)
Bibliographic record
Abstract
The selective serotonin reuptake inhibitors (SSRIs) fluoxetine (Nodep) and fluvoxamine (Dumyrox) are drugs commonly prescribed for the treatment of depression in humans. They act to increase serotonin (5-hydroxytryptamine) neurotransmission by inhibiting reuptake transport proteins at synapses. A similar effect of SSRIs seems to occur naturally in one group of invertebrates, the molluscs. In this study the action of these drugs at different concentrations and under different conditions was tested in the freshwater mussel Anodonta cygnea. Fluoxetine was more potent than fluvoxamine, inducing an intense release of larvae (parturition) at a concentration of 1 × 106 M in the presence of light. The non-SSRI antidepressants trazodone (Triticum), mianserine (Tolvon), and L-5-hydroxytryptophan (Cincofarm), which are known to have different serotoninergic mechanisms, had a strong, no, and a weak effect, respectively, on larval parturiton in A. cygnea. These effects suggest that serotonin could be a normal and relevant mediator of larval parturition in A. cygnea. Other parallel visible signs due to incubation with SSRIs were an increase in the volume of the foot and gills through water uptake and stimulation of valve movements. These results indicate that incubation with SSRIs is potentially important in culturing the larvae of freshwater bivalves, since it facilitates control of the intensity and timing of larval parturition.
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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) | 0.001 | 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".