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Zobel, A.

Publications and source records attributed to Zobel, A..

2 recordsLinked to original sources

Corticosterone as a potential confounding factor in delineating mechanisms underlying ketamine's rapid antidepressant actions

Although ketamine represents a new line of antidepressants with unique clinical advantages, its use as a long-term treatment has limitations, particularly its dissociative/psychotomimetic effects and abuse potential. In rats, we observed that a subanesthetic dose of ketamine (10mg/kg) induced a 3-fold increase in corticosterone (CORT) levels in both serum and brain tissue, within an hour of administration. This increase took place in both male and female rats, in both naive and stressed animals. However, no CORT increase was detected in rats injected with (2R, 6R)-hydroxynorketamine (HNK), an active metabolite of ketamine, that is believed to contribute to ketamines antidepressant effect. In response to the release in CORT, ketamine injected animals displayed a significant increase in the expression of sgk1, a downstream effector of glucocorticoid receptor signaling, in the hippocampus indicating the initiation of a transcriptional program. We hypothesized this surge in CORT release was a manifestation of stress experienced by the rat in response to ketamines psychotropic effects. When sensory perception was blocked under isoflurane anesthesia, administration of ketamine did not increase circulating CORT levels as compared to animals injected with saline. Taken together, ketamine administration triggers a behavioral stress response that has downstream molecular consequences. The resulting CORT release, virtually concurrent with the timing of ketamines rapid-acting antidepressant actions, necessitates the consideration of this pathways potential involvement when trying to dissect out the relevant molecular mechanisms underlying ketamines action.

neuroscience↗

Assessing 42 inflammatory markers in 321 control subjects and 887 major depressive disorder cases: BMI and other confounders and overall predictive ability for current depression

Inflammatory markers such as cytokines represent potential biomarkers for major depressive disorder (MDD). Many, generally small studies have examined the role of single markers and found significant associations. We assessed 42 inflammatory markers, namely cytokines, in the blood of 321 control subjects and 887 MDD cases. We tested whether individual inflammatory marker levels were significantly affected by MDD case/control status, current episode, or current depression severity, co-varying for age, sex, body mass index (BMI), smoking, current antidepressant use, ethnicity, assay batch and study effects. We further used machine learning algorithms to investigate if we could use our data to blindly discriminate MDD patients, or those in a current episode. We found broad and powerful influences of confounding factors on log-protein levels. Notably, IL-6 levels were very strongly influenced by BMI (p = 1.37 x 10-43, variance explained = 18%), while Interleukin-16 was the most significant predictor of current depressive episode (p = 0.003, variance explained = 0.9%, q < 0.1). No single inflammatory marker predicted MDD case/control status when a subject was not in a depressed episode, nor did any predict depression severity. Machine learning results revealed that using inflammatory marker data with clinical confounder information significantly increased precision for differentiating MDD patients who were in an episode. To conclude, a wide panel of inflammatory markers alongside clinical information may aid in predicting the onset of symptoms, but no single inflammatory protein is likely to represent a clinically useful biomarker for MDD diagnosis or prognosis. We note that the potential influence of physical health related and population stratification related confounders on inflammatory biomarker studies in psychiatry is considerable.

neuroscience↗