16 Apr Science Behind Ketamine’s Rapid Antidepressant Effects
Posted at 15:25h
in Depression
Editor's note: Ketamine is a anesthetic drug which has the potential for addiction as well as multiple sides short and longterm effects, especially when used in combination with other drugs or medications. Ketamine should only be used under the close supervision of an experienced health care provider. Do not attempt to self-medicate or take ketamine from an unknown source. The statements below regarding ketamine have not been conclusively verified by scientific studies. Ketamine is not FDA approved for depression or other types of mental disorders.
Scientists have always been curious about how the human brain works. One of the most exciting discoveries in recent years is how fast ketamine can treat depression. Some people have found it useful for mental health issues, if taken with appropriate supervision..
Ketamine may work when other antidepressants don't. But what makes it so powerful? And how does it help?
This blog post will look at four main ideas scientists have about how ketamine fights depression. Join us as we learn more about ketamine and why it's such a big deal in mental health care.
1. The Role of NMDA Receptors
At the core of ketamine's rapid action is its interaction with N-methyl-D-aspartate (NMDA) receptors in the brain. These receptors play a crucial role in regulating synaptic plasticity, which facilitates learning and memory. The surge in glutamate stimulates the activation of another type of receptor, known as AMPA receptors.
Enhanced activity at AMPA receptors is linked to the relief of depression symptoms. This pathway is vital for the antidepressant effects observed after ketamine administration. This highlights its unique mechanism in contrast to conventional medications.
Dr. Klonoff[/caption]
Dr. Zeynep Gümüş[/caption]
Zeynep H. Gümüş, PhD
Associate Professor
Icahn School of Medicine at Mount Sinai
MedicalResearch.com: What is the background for this study?
Response: The germline genome of each individual person has a unique combination of millions of genetic variants that influence virtually all biological processes throughout life, including cancer evolution. In this study, we have investigated the impact of germline variants – genetic defects one is born with – on gene expression and protein abundance in tumors across cancer types.
MedicalResearch.com: Would you describe the technique of precision peptidomics?
Response: We have leveraged a cohort of 1,064 patients with multiple cancer types to explore the impact of germline variations on cancer-relevant genes through multiple-omics layers: from DNA to RNA, protein abundance and post-translational modifications. To assess the effects of coding variants and their association with cognate proteins, we used precision peptidomics, which is the quantification of peptides carrying genetic variants from individual patients. Through this approach, we mapped 337,469 protein coding germline variants onto patient peptides, revealing their potential impact on protein modifications, protein stability, allele-specific expression, and protein structure by leveraging the relevant protein databases.
Dr. Ådén[/caption]
Ulrika Ådén PhD
Professor of Neonatology
Department of Women's and
Children's Health Karolinska
MedicalResearch.com: What is the background for this study?
Response: Children born preterm are at higher risk of cognitive impairment during childhood and later in life. However, an important unresolved question is whether these impairments primarily reflect genetic susceptibility or are driven by the biological consequences of being born too early. Cognitive development is known to have a strong heritable component (~70 %), and previous studies have attempted to disentangle genetic and environmental contributions, for example through sibling comparison designs. Although informative, such approaches have inherent limitations.
In this study, we aimed to investigate long-term cognitive outcomes across a range of gestational age groups including very preterm, moderately preterm, late preterm, and early term, compared to children born full term. Importantly, we accounted for genetic influences as well as a range of potential confounding factors, including prenatal risks and child-specific factors. This approach provides a more nuanced understanding of the extent to which cognitive outcomes associated with preterm birth reflect biological versus inherited risk.
