Faculty Bibliography

OBJECTIVE/UNASSIGNED:Although several reports have documented heightened systemic inflammation in posttraumatic stress disorder (PTSD), few studies have assessed whether inflammatory markers serve as prospective biomarkers for PTSD risk. The present study aimed to characterize whether peripheral immune factors measured in blood samples collected in an emergency department immediately after trauma exposure would predict later chronic development of PTSD. METHODS/UNASSIGNED:Participants (N=505) were recruited from a hospital emergency department and underwent a 1.5-hour assessment. Blood samples were drawn, on average, about 3 hours after trauma exposure. Follow-up assessments were conducted 1, 3, 6, and 12 months after trauma exposure. Latent growth mixture modeling was used to identify classes of PTSD symptom trajectories. RESULTS/UNASSIGNED:Three distinct classes of PTSD symptom trajectories were identified: chronic (N=28), resilient (N=160), and recovery (N=85). Multivariate analyses of covariance revealed a significant multivariate main effect of PTSD symptom trajectory class membership on proinflammatory cytokines. Univariate analyses showed a significant main effect of trajectory class membership on plasma concentrations of proinflammatory tumor necrosis factor α (TNFα) and interferon-γ (IFNγ). Concentrations of proinflammatory TNFα and IFNγ were significantly lower in individuals in the chronic PTSD class compared with those in the recovery and resilient classes. There were no significant differences in interleukin (IL) 1β and IL-6 concentrations by PTSD symptom trajectory class. Anti-inflammatory and other cytokines, as well as chemokines and growth factor concentrations, were not associated with development of chronic PTSD. CONCLUSIONS/UNASSIGNED:Overall, the study findings suggest that assessing the proinflammatory immune response to trauma exposure immediately after trauma exposure, in the emergency department, may help identify individuals most at risk for developing chronic PTSD in the aftermath of trauma.

Posttraumatic stress responses are characterized by a heterogeneity in clinical appearance and etiology. This heterogeneity impacts the field's ability to characterize, predict, and remediate maladaptive responses to trauma. Machine learning (ML) approaches are increasingly utilized to overcome this foundational problem in characterization, prediction, and treatment selection across branches of medicine that have struggled with similar clinical realities of heterogeneity in etiology and outcome, such as oncology. In this article, we review and evaluate ML approaches and applications utilized in the areas of posttraumatic stress, stress pathology, and resilience research, and present didactic information and examples to aid researchers interested in the relevance of ML to their own research. The examined studies exemplify the high potential of ML approaches to build accurate predictive and diagnostic models of posttraumatic stress and stress pathology risk based on diverse sources of available information. The use of ML approaches to integrate high-dimensional data demonstrates substantial gains in risk prediction even when the sources of data are the same as those used in traditional predictive models. This area of research will greatly benefit from collaboration and data sharing among researchers of posttraumatic stress disorder, stress pathology, and resilience.

The influence of stress on executive functions has been demonstrated in numerous studies and is potentially mediated by the stress-induced cortisol release. Yet, the impact of cortisol on cognitive flexibility and task switching in particular remains equivocal. In this study, we investigated the influence of pharmacological glucocorticoid receptor (GR) and mineralocorticoid receptor (MR) stimulation, two corticosteroid receptor types known to be responsible for cortisol effects on the brain. We conducted two experiments, each with 80 healthy participants (40 women and 40 men), and tested the effect of the unspecific MR/GR agonist hydrocortisone (Experiment I) and the more specific MR agonist fludrocortisone (Experiment II) on switch costs and task rule congruency in a bivalent, cued task switching paradigm. The results did not confirm our hypotheses; we found no significant effects of our manipulations on task switching capacity, although general switching and congruency effects were observed. We discuss the absence of MR/GR-mediated effects and propose alternative mechanisms that could explain stress induced effects on task switching.

Background/UNASSIGNED:Exposure to a traumatic event leads to posttraumatic stress disorder (PTSD) in 10-20% of exposed individuals. Predictors of risk are needed to target early interventions to those who are most vulnerable. The objective of the study was to test whether a noninvasive mobile device that measures a physiological biomarker of autonomic nervous system activation could predict future PTSD symptoms. Methods/UNASSIGNED:Skin conductance response (SCR) was collected during a trauma interview in the emergency department within hours of exposure to trauma in 95 individuals. Trajectories of PTSD symptoms over 12 months post-trauma were identified using Latent Growth Mixture Modeling. Results/UNASSIGNED:<0.00001). Conclusions/UNASSIGNED:The current study is the first prospective study of PTSD showing SCR in the immediate aftermath of trauma predicts subsequent development of chronic PTSD. This finding points to an easily obtained, and neurobiologically informative, biomarker in emergency departments that can be disseminated to predict the development of PTSD.

Alterations of the hypothalamic-pituitary-adrenal (HPA) axis such as altered glucocorticoid receptor sensitivity and increased immune reactivity might contribute to the pathogenesis of major depressive disorder (MDD). Exposure to adverse childhood experiences (ACE) precipitates vulnerability to MDD and might be associated with endocrine and immune alterations in the disorder. In order to disentangle the effects of ACE and MDD, we recruited 87 women: n = 23 with MDD and ACE as determined by clinical interview and questionnaires (Structured Clinical Interview for DSM-IV, Early Trauma Inventory, Childhood Trauma Questionnaire), n = 24 with MDD without ACE, n = 21 with ACE but no current or lifetime MDD, and n = 26 healthy women without either MDD or ACE. Glucocorticoid signaling and mitogen-stimulated proliferation were analyzed ex vivo in peripheral blood-derived mononuclear cells. Additionally, mRNA expression of the glucocorticoid and the mineralocorticoid receptor (GR / MR) was assessed. Peripheral GR sensitivity as well as GR and MR expression levels were not significantly different between groups. Women with ACE showed an increased immune response after mitogen stimulation independent of the presence of MDD. Our results provide evidence for a functionally altered ex-vivo immune response in cell cultures from women with a history of ACE. Thus, ACE might contribute to the pathogenesis of MDD through inflammatory pathways.

Atrial natriuretic peptide (ANP) exerts anxiolytic effects in animals and humans. Patients with anxiety, trauma-associated and depressive disorders exhibit lower ANP plasma levels compared to healthy individuals. However, the role of ANP in patients with major depressive disorder (MDD) with and without concomitant adverse childhood experiences (ACE) and in healthy individuals with and without ACE is not clear. We recruited a total of 93 women: 23 women with MDD and ACE, 24 women with MDD without ACE, 22 women with ACE but no current or lifetime MDD, and 24 healthy women without ACE. ANP plasma levels were measured with a radioimmunoassay. The four groups did not differ in demographic and clinical variables. We found a positive correlation between age and plasma levels of ANP (r = .39; p <  .001). After controlling for age, there was no significant main effect of MDD or ACE on ANP plasma levels, but a significant interaction between MDD and ACE such that ACE was associated with reduced basal ANP levels in the absence of MDD. We assume that low plasma ANP might be a consequence of ACE in the absence of current psychopathology. Therefore, future studies are needed to replicate our findings and to characterize the influencing factors of ACE on ANP more comprehensively, for example by including a comprehensive trauma and comorbidity anamnesis as well as cardiovascular state and risk factors.

BACKGROUND:Alterations of the hypothalamic-pituitary-adrenal (HPA) axis are a prominent finding in patients with major depressive disorder (MDD). Inconsistencies regarding a hyper- or hypoactive HPA axis may be explained by the moderating effect of childhood adverse experiences (ACE) which are associated with both HPA axis dysfunction and MDD in adulthood. We aimed to systematically disentangle the effects of ACE and MDD on HPA axis by comparing healthy women with and without childhood adversity and women with MDD with and without ACE. METHODS:The dexamethasone/corticotropin-releasing hormone (DEX/CRH) test was administered in 35 women with MDD and ACE as determined by a clinical interview (SCID, Early Trauma Inventory), 51 women with MDD without ACE, 21 women with ACE but no current or lifetime MDD and 37 healthy women without either MDD or ACE. RESULTS:There were no group differences in age, smoking, body mass index, and intake of oral contraceptives. Free salivary cortisol responses were not significantly different between the four groups. CONCLUSIONS:This study shows no evidence for a dysregulation of the HPA axis as measured by the DEX/CRH test in depressed women with and without childhood adversity as compared to mentally healthy women with or without early life stress. Our results do not support the assumption of distinct neuroendocrine endophenotypes in MDD with regard to ACE.