Using stem cell-derived BrainSpheres, also known as ‘mini-brains’, researchers have detected harmful side effects of a common antidepressant drug on the developing brain. This novel model for drug testing could provide a good alternative to traditional animal testing.
A machine-learning algorithm may be able to predict individual treatment response to sertraline, a commonly prescribed antidepressant medication.
This week we look at NurOwn® for multiple sclerosis, a combination therapy failing to meet primary endpoint for glioblastoma and warnings from the US FDA.
Antidepressants are an effective treatment route for depression, novel study claims.
The hypothesis that antidepressant response has a relevant genetic component was initially suggested by the observation that this phenotype clusters in families.
Both lithium and rapamycin could prevent the secondary nerve cell damage caused by the overproduction of glutamate after a traumatic brain injury.
Veronika Kiryanova discusses her recent work on maternal stress and offspring mental health, and her thoughts on how research such as this could impact future research and clinical practice.
Comparative risk of hip fractures in elderly nursing home patients with depression using paroxetine and other selective serotonin reuptake inhibitors
In this research article, the authors evaluate the comparative safety of paroxetine and other SSRIs for the risk of hip fractures, finding no differential risk.
Meta-analysis shines a spotlight on the potential use of anti-inflammatories for the treatment of depression.
The authors assess the value of utilizing pharmacogenetic information to improve antidepressant drug therapy in BPD patients.