Depressive symptoms as a transdiagnostic mediator of mother-to-infant bonding: Results from a psychiatric mother-baby unit.

Maternal symptoms of depression can interfere with the establishment of healthy mother-infant-bonding, which negatively affects developmental trajectories of the child and maternal wellbeing. However, current evidence about the effects of treatment in severely affected women is still lacking and the transdiagnostic prognostic value of depressive symptoms is not fully clear. Therefore, a naturalistic clinical sample of 140 mother-infant-dyads in inpatient treatment at a mother-baby-unit was analyzed with instruments being administered at admission and before dismissal. Linear mixed effects models were calculated in order to assess the longitudinal influence of scores on the Edingburgh Postpartum Depression Scale (EPDS) on post-partum-bonding measured with the postpartum bonding questionnaire (PBQ). Furthermore, interaction-effects with psychiatric diagnosis of the mothers (depression vs. psychosis) and their partners were assessed. Successful treatment of depressive symptoms was paralleled by a significant decrease of impaired bonding, with only 6.4% of the women having PBQ total scores above cut-off at discharge. Overall, higher scores on the EPDS were associated with a significantly poorer outcome on the PBQ (p = < 0.001), irrespective of diagnosis (p = 0.93). Importantly, there was an interaction effect of EPDS and a psychiatric diagnosis of the partner on the PBQ (p = 0.017). Thus, our results further emphasize the significance of postpartum symptoms of depression for mother-child bonding, which can be effectively improved by comprehensive treatment even in severely affected women. Optimizing treatment and diagnostics as early as possible and enabling access for all women must become a priority.

Effects of media stories featuring coping with suicidal crises on psychiatric patients: Randomized controlled trial.

BACKGROUND: Accumulating evidence suggests beneficial effects of media stories featuring individuals mastering their suicidal crises, but effects have not been assessed for psychiatric patients. METHODS: We randomized n = 172 adult psychiatric patients (n = 172, 97.1% inpatients) to read an educative article featuring a person mastering a suicidal crisis (n = 92) or an unrelated article (n = 80) in a single-blind randomized controlled trial. Questionnaire data were collected before (T1) and after exposure (T2) as well as 1 week later (study end-point, T3). The primary outcome was suicidal ideation as assessed with the Reasons for Living Inventory; secondary outcomes were help-seeking intentions, mood, hopelessness, and stigmatization. Differences between patients with affective versus other diagnoses were explored based on interaction tests. RESULTS: We found that patients with affective disorders (n = 99) experienced a small-sized reduction of suicidal ideation at 1-week follow up (mean difference to control group [MD] at T3 = -0.17 [95% CI -0.33, -0.03], d = -0.15), whereas patients with nonaffective diagnoses (n = 73) experienced a small-sized increase (T2: MD = 0.24 [95% CI 0.06, 0.42], d = 0.19). Intervention group participants further experienced a nonsustained increase of help-seeking intentions (T2: MD = 0.53 [95% CI 0.11, 0.95], d = 0.19) and a nonsustained deterioration of mood (T2: MD = -0.14 [95% CI -0.27, -0.02], d = -0.17). CONCLUSIONS: This study suggests that patients with affective disorders appear to benefit from media materials featuring mastery of suicidal crises. More research is needed to better understand which patient groups are at possible risk of unintended effects.

The Influence of Acute SSRI Administration on White Matter Microstructure in Patients Suffering From Major Depressive Disorder and Healthy Controls.

BACKGROUND: Selective serotonin reuptake inhibitors (SSRIs) are predominantly prescribed for people suffering from major depressive disorder. These antidepressants exert their effects by blocking the serotonin transporter (SERT), leading to increased levels of serotonin in the synaptic cleft and subsequently to an attenuation of depressive symptoms and elevation in mood. Although long-term studies investigating white matter (WM) alterations after exposure to antidepressant treatment exist, results on the acute effects on the brain's WM microstructure are lacking. METHODS: In this interventional longitudinal study, 81 participants were included (33 patients and 48 healthy controls). All participants underwent diffusion weighted imaging on 2 separate days, receiving either citalopram or placebo using a randomized, double-blind, cross-over design. Fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity were calculated within the FMRIB software library and analyzed using tract-based spatial statistics. RESULTS: The repeated-measures ANOVA model revealed significant decreases after SSRI administration in mean diffusivity, axial diffusivity, and radial diffusivity regardless of the group (P < .05, family-wise error [FWE] corrected). Results were predominantly evident in frontal WM regions comprising the anterior corona radiata, corpus callosum, and external capsule and in distinct areas of the frontal blade. No increases in diffusivity were found, and no changes in fractional anisotropy were present. CONCLUSIONS: Our investigation provides the first evidence, to our knowledge, that fast WM microstructure adaptations within 1 hour after i.v. SSRI administration precede elevations in mood due to SSRI treatment. These results add a new facet to the complex mode of action of antidepressant therapy. This study was registered at clinicaltrials.gov with the identifier NCT02711215.

Association of norepinephrine transporter methylation with in vivo NET expression and hyperactivity-impulsivity symptoms in ADHD measured with PET.

Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder with a robust genetic influence. The norepinephrine transporter (NET) is of particular interest as it is one of the main targets in treatment of the disorder. As ADHD is a complex and polygenetic condition, the possible regulation by epigenetic processes has received increased attention. We sought to determine possible differences in NET promoter DNA methylation between patients with ADHD and healthy controls. DNA methylation levels in the promoter region of the NET were determined in 23 adult patients with ADHD and 23 healthy controls. A subgroup of 18 patients with ADHD and 18 healthy controls underwent positron emission tomography (PET) with the radioligand (S,S)-[18F]FMeNER-D2 to quantify the NET in several brain areas in vivo. Analyses revealed significant differences in NET methylation levels at several cytosine-phosphate-guanine (CpG) sites between groups. A defined segment of the NET promoter ("region 1") was hypermethylated in patients in comparison with controls. In ADHD patients, a negative correlation between methylation of a CpG site in this region and NET distribution in the thalamus, locus coeruleus, and the raphe nuclei was detected. Furthermore, methylation of several sites in region 1 was negatively associated with the severity of hyperactivity-impulsivity symptoms. Our results point to an epigenetic dysregulation in ADHD, possibly due to a compensatory mechanisms or additional factors involved in transcriptional processing.

Machine learning classification of ADHD and HC by multimodal serotonergic data.

Serotonin neurotransmission may impact the etiology and pathology of attention-deficit and hyperactivity disorder (ADHD), partly mediated through single nucleotide polymorphisms (SNPs). We propose a multivariate, genetic and positron emission tomography (PET) imaging classification model for ADHD and healthy controls (HC). Sixteen patients with ADHD and 22 HC were scanned by PET to measure serotonin transporter (SERT') binding potential with [11C]DASB. All subjects were genotyped for thirty SNPs within the HTR1A, HTR1B, HTR2A and TPH2 genes. Cortical and subcortical regions of interest (ROI) were defined and random forest (RF) machine learning was used for feature selection and classification in a five-fold cross-validation model with ten repeats. Variable selection highlighted the ROI posterior cingulate gyrus, cuneus, precuneus, pre-, para- and postcentral gyri as well as the SNPs HTR2A rs1328684 and rs6311 and HTR1B rs130058 as most discriminative between ADHD and HC status. The mean accuracy for the validation sets across repeats was 0.82 (±0.09) with balanced sensitivity and specificity of 0.75 and 0.86, respectively. With a prediction accuracy above 0.8, the findings underlying the proposed model advocate the relevance of the SERT as well as the HTR1B and HTR2A genes in ADHD and hint towards disease-specific effects. Regarding the high rates of comorbidities and difficult differential diagnosis especially for ADHD, a reliable computer-aided diagnostic tool for disorders anchored in the serotonergic system will support clinical decisions.

Clinical factors predicting treatment resistant depression: affirmative results from the European multicenter study.

OBJECTIVES: Clinical variables were investigated in the 'treatment resistant depression (TRD)- III' sample to replicate earlier findings by the European research consortium 'Group for the Study of Resistant Depression' (GSRD) and enable cross-sample prediction of treatment outcome in TRD. EXPERIMENTAL PROCEDURES: TRD was defined by a Montgomery and Åsberg Depression Rating Scale (MADRS) score ≥22 after at least two antidepressive trials. Response was defined by a decline in MADRS score by ≥50% and below a threshold of 22. Logistic regression was applied to replicate predictors for TRD among 16 clinical variables in 916 patients. Elastic net regression was applied for prediction of treatment outcome. RESULTS: Symptom severity (odds ratio (OR) = 3.31), psychotic symptoms (OR = 2.52), suicidal risk (OR = 1.74), generalized anxiety disorder (OR = 1.68), inpatient status (OR = 1.65), higher number of antidepressants administered previously (OR = 1.23), and lifetime depressive episodes (OR = 1.15) as well as longer duration of the current episode (OR = 1.022) increased the risk of TRD. Prediction of TRD reached an accuracy of 0.86 in the independent validation set, TRD-I. CONCLUSION: Symptom severity, suicidal risk, higher number of lifetime depressive episodes, and comorbid anxiety disorder were replicated as the most prominent risk factors for TRD. Significant predictors in TRD-III enabled robust prediction of treatment outcome in TRD-I.

The influence of the rs6295 gene polymorphism on serotonin-1A receptor distribution investigated with PET in patients with major depression applying machine learning.

Major depressive disorder (MDD) is the most common neuropsychiatric disease and despite extensive research, its genetic substrate is still not sufficiently understood. The common polymorphism rs6295 of the serotonin-1A receptor gene (HTR1A) is affecting the transcriptional regulation of the 5-HT1A receptor and has been closely linked to MDD. Here, we used positron emission tomography (PET) exploiting advances in data mining and statistics by using machine learning in 62 healthy subjects and 19 patients with MDD, which were scanned with PET using the radioligand [carbonyl-11C]WAY-100635. All the subjects were genotyped for rs6295 and genotype was grouped in GG vs C allele carriers. Mixed model was applied in a ROI-based (region of interest) approach. ROI binding potential (BPND) was divided by dorsal raphe BPND as a specific measure to highlight rs6295 effects (BPDiv). Mixed model produced an interaction effect of ROI and genotype in the patients' group but no effects in healthy controls. Differences of BPDiv was demonstrated in seven ROIs; parahippocampus, hippocampus, fusiform gyrus, gyrus rectus, supplementary motor area, inferior frontal occipital gyrus and lingual gyrus. For classification of genotype, 'RandomForest' and Support Vector Machines were used, however, no model with sufficient predictive capability could be computed. Our results are in line with preclinical data, mouse model knockout studies as well as previous clinical analyses, demonstrating the two-pronged effect of the G allele on 5-HT1A BPND for, we believe, the first time. Future endeavors should address epigenetic effects and allosteric heteroreceptor complexes. Replication in larger samples of MDD patients is necessary to substantiate our findings.

Simple and rapid quantification of serotonin transporter binding using [11C]DASB bolus plus constant infusion.

INTRODUCTION: In-vivo quantification of serotonin transporters (SERT) in human brain has been a mainstay of molecular imaging in the field of neuropsychiatric disorders and helped to explore the underpinnings of several medical conditions, therapeutic and environmental influences. The emergence of PET/MR hybrid systems and the heterogeneity of SERT binding call for the development of efficient methods making the investigation of larger or vulnerable populations with limited scanner time and simultaneous changes in molecular and functional measures possible. We propose [11C]DASB bolus plus constant infusion for these applications and validate it against standard analyses of dynamic PET data. METHODS: [11C]DASB bolus/infusion optimization was performed on data acquired after [11C]DASB bolus in 8 healthy subjects. Subsequently, 16 subjects underwent one scan using [11C]DASB bolus plus constant infusion with Kbol 160-179min and one scan after [11C]DASB bolus for inter-method reliability analysis. Arterial blood sampling and metabolite analysis were performed for all scans. Distribution volumes (VT) were obtained using Logan plots for bolus scans and ratios between tissue and plasma parent activity for bolus plus infusion scans for different time spans of the scan (VT-70 for 60-70min after start of tracer infusion, VT-90 for 75-90min, VT-120 for 100-120min) in 9 subjects. Omitting blood data, binding potentials (BPND) obtained using multilinear reference tissue modeling (MRTM2) and cerebellar gray matter as reference region were compared in 11 subjects. RESULTS: A Kbol of 160min was observed to be optimal for rapid equilibration in thalamus and striatum. VT-70 showed good intraclass correlation coefficients (ICCs) of 0.61-0.70 for thalamus, striatal regions and olfactory cortex with bias ≤5.1% compared to bolus scans. ICCs increased to 0.72-0.78 for VT-90 and 0.77-0.93 for VT-120 in these regions. BPND-90 had negligible bias ≤2.5%, low variability ≤7.9% and ICCs of 0.74-0.87; BPND-120 had ICCs of 0.73-0.90. Low-binding cortical regions and cerebellar gray matter showed a positive bias of ~8% and ICCs 0.57-0.68 at VT-90. Cortical BPND suffered from high variability and bias, best results were obtained for olfactory cortex and anterior cingulate cortex with ICC=0.74-0.75 for BPND-90. High-density regions amygdala and midbrain had a negative bias of -5.5% and -22.5% at VT-90 with ICC 0.70 and 0.63, respectively. CONCLUSIONS: We have optimized the equilibrium method with [11C]DASB bolus plus constant infusion and demonstrated good inter-method reliability with accepted standard methods and for SERT quantification using both VT and BPND in a range of different brain regions. With as little as 10-15min of scanning valid estimates of SERT VT and BPND in thalamus, amygdala, striatal and high-binding cortical regions could be obtained. Blood sampling seems vital for valid quantification of SERT in low-binding cortical regions. These methods allow the investigation of up to three subjects with a single radiosynthesis.

Association of Protein Distribution and Gene Expression Revealed by PET and Post-Mortem Quantification in the Serotonergic System of the Human Brain.

Regional differences in posttranscriptional mechanisms may influence in vivo protein densities. The association of positron emission tomography (PET) imaging data from 112 healthy controls and gene expression values from the Allen Human Brain Atlas, based on post-mortem brains, was investigated for key serotonergic proteins. PET binding values and gene expression intensities were correlated for the main inhibitory (5-HT1A) and excitatory (5-HT2A) serotonin receptor, the serotonin transporter (SERT) as well as monoamine oxidase-A (MAO-A), using Spearman's correlation coefficients (rs) in a voxel-wise and region-wise analysis. Correlations indicated a strong linear relationship between gene and protein expression for both the 5-HT1A (voxel-wise rs = 0.71; region-wise rs = 0.93) and the 5-HT2A receptor (rs = 0.66; 0.75), but only a weak association for MAO-A (rs = 0.26; 0.66) and no clear correlation for SERT (rs = 0.17; 0.29). Additionally, region-wise correlations were performed using mRNA expression from the HBT, yielding comparable results (5-HT1Ars = 0.82; 5-HT2Ars = 0.88; MAO-A rs = 0.50; SERT rs = -0.01). The SERT and MAO-A appear to be regulated in a region-specific manner across the whole brain. In contrast, the serotonin-1A and -2A receptors are presumably targeted by common posttranscriptional processes similar in all brain areas suggesting the applicability of mRNA expression as surrogate parameter for density of these proteins.

Hormonal and blood glucose responsiveness as an indicator of specific emotional arousal in type 1 diabetics.

The aim of the present study was to examine, whether individual emotional arousal induced by a specific stress interview may effect growth hormone (GH), cortisol, catecholamine and blood glucose levels in diabetes patients. To test the validity of this hypothesis we subjected 18 Type 1 diabetics and 18 healthy controls to a life event interview which produces individual arousal. During this stress interview catecholamines and plasma cortisol levels showed no significant increase, whereas there was a significant increase of GH over time in both group (p < 0.04), with a trend in diabetics to have a more marked GH response than controls (p < 0.10). Blood glucose levels remained unaffected by the interview. Depressed diabetics showed significantly higher cortisol increases (p < 0.004) than non-depressed diabetics, whereas there was no difference among depressed and non-depressed controls. Depression was not associated with an increase of other hormones or blood glucose levels in both groups. The results of our study confirm specific pathways in which individual emotional arousal and depression may lead to chronic metabolic disturbances as a result of GH and cortisol hypersecretion.

Colour Doppler imaging of partial subclavian steal syndrome.

The case of a 67-year-old woman with symptoms related to the vertebro-basilar system and blood pressure difference of the upper extremities is presented. Colour-Doppler imaging (CDI) with additional spectral tracing revealed partial subclavian steal syndrome with retrograde flow in the left vertebral artery during systole, which could be significantly enhanced by reactive hyperemia after left arm exercise. Angiography confirmed a high-grade stenosis of the proximal subclavian artery and balloon angioplasty was performed. Noninvasive follow-up by CDI demonstrated regular antegrade vertebral artery flow at rest, but minimal retrograde systolic flow after left arm exercise.

Laboratory monitoring of thromboprophylaxis with low molecular weight and standard heparin.

This study was made to evaluate assays for monitoring of low dose heparin thromboprophylaxis and to evaluate its efficacy in reduction of hypercoagulation. Patients with medical diseases scheduled for routine thromboprophylaxis were subcutaneously treated with either 5.000 anti XaU low molecular weight (LMW) heparin once daily (n = 20) or 5.000 IU standard (ST) heparin 3 times daily (n = 19). On days 1,2,3, before, 1 and 4 hours after heparin injection APTT, TCT, anti Xa, Heptest, thrombin-antithrombin complexes (TAT), and D-Dimer levels were measured. In the LMW heparin group, median values of APTT and TCT slightly increased after heparin and the ranges of pre- and postinjection values showed extensive overlap. However, values of anti Xa and Heptest markedly increased, showing complete separation of ranges. In the ST heparin group neither APTT, TCT, anti Xa, nor Heptest were significantly different comparing pre- and postheparin values. Half of the patients in both groups had subclinical hypercoagulation at baseline (TAT greater than 5 ng/ml, D-Dimer greater than 200 ng/ml). On day 3 of prophylaxis this percentage was not significantly decreased. Moreover, several patients in both groups increased in TAT and D-Dimer. In the LMWheparin group, negative correlations between body weight and 4 h postinjection heparin levels were found (anti Xa R = -0.50, Heptest R = -0.31) and between 1 h postinjection heparin and TAT and D-Dimer levels 3 h later (TAT-anti Xa R = -0.58, TAT-Heptest R = -0.64, D-Dimer-anti Xa R = -0.32, D-Dimer-Heptest R = -0.33).(ABSTRACT TRUNCATED AT 250 WORDS)