Recent findings indicate that platelet-derived growth factor (PDGF) plays a role in the generation of reactive oxygen species (ROS) as second messengers in smooth muscle cells (SMC). To identify the source and signal transduction pathway of ROS formation in SMC, we investigated PDGF-induced ROS formation. Stimulation of SMC with PDGF resulted in a rapid increase of ROS production. Using an inactivating antibody, we identified the increase to be dependent on p22phox, a NAD(P)H-oxidase subunit. ROS release was completely inhibited by the Gi protein inhibitor PTX as well as an antibody against Galphai1,2, however, not by antibodies against Galphai3/0, Gas, and Gbeta1beta2. The effect of PDGF on ROS production in SMC membranes could likewise be mimicked by the use of a recombinant Galphai2 subunit but not by Galphai3, Galphai0, Gas, and Gbetagamma subunits. Immunoaffinity chromatography demonstrated coupling of Galphai1,2 to the PDGF a-receptor, which, after preincubation of the SMC membranes with PDGF, was increased in the absence of GTPgammaS but decreased in the presence of GTPgammaS and prevented by PTX treatment. These data define a novel G protein-dependent mechanism by which PDGF signaling is transduced through direct coupling of the Gai1,2 subunit of the trimeric G proteins to the PDGF tyrosine kinase receptor.

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ObjectivesEmbedded in the Collaborative Research Center “Fear, Anxiety, Anxiety Disorders” (CRC‐TRR58), this bicentric clinical study aims at identifying biobehavioral markers of treatment (non‐)response by applying machine learning methodology with an external cross‐validation protocol. We hypothesize that a priori prediction of treatment (non‐)response is possible in a second, independent sample based on multimodal markers.MethodsOne‐session virtual reality exposure treatment (VRET) with patients with spider phobia was conducted on two sites. Clinical, neuroimaging, and genetic data were assessed at baseline, post‐treatment and after 6 months. The primary and secondary outcomes defining treatment response are as follows: 30% reduction regarding the individual score in the Spider Phobia Questionnaire and 50% reduction regarding the individual distance in the behavioral avoidance test.ResultsN = 204 patients have been included (n = 100 in Würzburg, n = 104 in Münster). Sample characteristics for both sites are comparable.DiscussionThis study will offer cross‐validated theranostic markers for predicting the individual success of exposure‐based therapy. Findings will support clinical decision‐making on personalized therapy, bridge the gap between basic and clinical research, and bring stratified therapy into reach. The study is registered at ClinicalTrials.gov (ID: NCT03208400).

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As overgeneralization of fear is a pathogenic marker of anxiety disorders, we investigated whether pre-treatment levels of fear generalization in spider-phobic patients are associated with their response to exposure-based treatment, in order to identify pre-treatment correlates of treatment success. Ninety patients with spider phobia completed pre-treatment clinical and magnetoencephalography (MEG) assessments, one session of virtual reality exposure therapy, and a post-treatment clinical assessment. Based on the primary outcome (30% symptom reduction in self-reported symptoms from pre- to post-treatment) they were categorized as responders or non-responders. In a pre-treatment MEG fear generalization paradigm involving fear conditioning with two unconditioned stimuli (UCS), we obtained fear ratings, UCS-expectancy ratings, and event-related fields to conditioned stimuli (CS+, CS-) and 7 different generalization stimuli (GS) on a perceptual continuum from CS+ to CS-. Prior to treatment, non-responders showed behavioral overgeneralization indicated by more linear generalization gradients in fear ratings. Analyses of MEG source estimations revealed that non-responders showed a decline of their (inhibitory) frontal activations to safety-signaling CS- and GS compared to CS+ over time, while responders maintained these activations at early (<300ms) and late processing stages. Results provide initial evidence that pre-treatment differences of behavioral and neural markers of fear generalization are associated with later responses to behavioral exposure. Findings demonstrate the relevance of inhibitory learning functions and their spatio-temporal neural reflections in this interplay. Findings stimulate research on mechanism-based augmentation strategies for behavioral therapies.