Our research is focused on psychiatric disorders in particularly depression. Our studies are translational including animal models and human samples (brain, blood, saliva etc), integrating behavioural, molecular, biochemical, and pharmacological approaches.
Depression is a complex disorder with many subtypes and probably more than one etiopathophysiological mechanism.
Our research in depression focuses on
• neuroplasticity, i.e. changes in growth factors/neurotrophic factors, spine density markers and synaptic vesicle proteins
• inflammation, the involvement of cytokines and the kynurenic pathway
• the hypothalamic-pituitary-adrenal (HPA) axis
• the crosstalk between the glutamatergic and serotonergic transmitter system
• disturbances in central and peripheral clock genes
• the regulation of microRNAs (miRNAs)/mRNAs in rodent models of depression as well as human brain and blood.
Besides exploring the fundamental basics of depression at the miRNA, mRNA and protein levels, new treatment strategies are also key components in our research. The treatment portfolio includes traditional pharmacological treatment, rapid-acting antidepressants, electroconvulsive seizures, exercise, and probiotics.
Our goal is to identify new unexplored mechanisms, leading to identification of molecular biomarkers and new avenues for development of novel stratified strategies for prevention and treatment of depression.
The overall aims are to unveil fundamental central and peripheral biological mechanisms of depression and to identify biomarkers – central and peripheral.
The fundamental basics of our research are animal models of stress and depression and human blood, saliva, and tissue.
Our main research methods are:
The Elfving group currently has projects available for Research Year, Bachelor, Master, and PhD students from relevant disciplines such as medicine, molecular medicine, molecular biology, or pharmacology.
Please contact Principal Investigator Betina Elfving directly, if interested
(firstname.lastname@example.org or phone 28966726).