Evidence map›Paper›PMID 28735366›Full record

ArticlePsychopharmacology2017

Further validation of the affective bias test for predicting antidepressant and pro-depressant risk: effects of pharmacological and social manipulations in male and female rats.

Justyna K Hinchcliffe, Sarah A Stuart, Michael Mendl, Emma S J Robinson

Open access · hybridAbstract read
In one paragraph

Article in Psychopharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. What Animal Models Can Tell Us About Long-Term Psychiatric Symptoms in Sepsis Survivors: a Systematic Review.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2021
    Pooled it
  2. Review
  3. Article
  4. Comparing affective bias modification by first- and second-generation antidepressants in male rats using a translational behavioural task.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Neuropsychological Effects of Antidepressants: Translational Studies.Current topics in behavioral neurosciences · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. The future of rodent models in depression research.Nature reviews. Neuroscience · 2019
    Review
  19. Rat models of reward deficits in psychiatric disorders.Current opinion in behavioral sciences · 2018
    Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Justyna K HinchcliffeSchool of Physiology, Pharmacology and Neuroscience, University of Bristol, Biomedical Sciences Building, University Walk, Bristol, BS8 1TD, UK.
Sarah A StuartSchool of Physiology, Pharmacology and Neuroscience, University of Bristol, Biomedical Sciences Building, University Walk, Bristol, BS8 1TD, UK.
Michael MendlSchool of Veterinary Sciences, University of Bristol, Langford House, Langford, Bristol, BS40 5DU, UK.
Emma S J RobinsonSchool of Physiology, Pharmacology and Neuroscience, University of Bristol, Biomedical Sciences Building, University Walk, Bristol, BS8 1TD, UK. pmesjr@bris.ac.uk.
University of Bristol · GB

Funding

Medical Research Council MR/L011212/1
6 · The paper itself

Abstract

rationaleAffective biases are hypothesised to contribute to the cause and treatment of mood disorders. We have previously found that affective biases, associated with learning and memory, are observed following acute treatments with a range of antidepressant and pro-depressant manipulations.

objectiveThis study aimed to test if similar biases are observed in male and female Sprague Dawley (SD) rats. We also test whether the stress hormone, corticosterone, induces a negative bias in the affective bias test (ABT) consistent with its putative role in the development of depression. We then use a meta-analysis to compare our findings with data published for the Lister Hooded rats.

methodsThe ABT uses a within-subject study design where animals learn to associate distinct digging substrates, encountered on different days, with the same value food reward. Exposure to one substrate is paired with a treatment manipulation (drug or environmental) and the other with a control condition. A preference test is used to test if the treatment has induced a positive or negative bias.

resultsConsistent with previous data, both male and female SD rats exhibit similar positive affective biases following treatment with the antidepressant, venlafaxine, and social play and negative affective biases following FG 7142 (benzodiazepine inverse agonist) and social stress. Acute treatment with corticosterone induced a negative bias.

conclusionsThese data add to the translational validity of the ABT and suggest that corticosterone can induce a negative affective bias following acute treatment, an effect which may contribute to its long-term effects on mood.

Indexed as

AffectAnimalsAntidepressive AgentsCarbolinesChoice BehaviorDepressive DisorderFemaleForecastingMaleMood DisordersRatsRats, Sprague-DawleyReproducibility of ResultsRewardStress, PsychologicalVenlafaxine HydrochlorideAntidepressive AgentsCarbolinesFG 7142Venlafaxine HydrochlorideAffective biasAntidepressantsCorticosteroneEnrichmentMajor depressive disorderStress

Identifiers

PMID28735366
PMCPMC5597685
OpenAlexW2738088216

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.