A functional variant in the serotonin receptor 7 gene (HTR7), rs7905446, is associated with good response to SSRIs in bipolar and unipolar depression.

Predicting antidepressant response has been a clinical challenge for mood disorder. Although several genome-wide association studies have suggested a number of genetic variants to be associated with antidepressant response, the sample sizes are small and the results are difficult to replicate. Previous animal studies have shown that knockout of the serotonin receptor 7 gene (HTR7) resulted in an antidepressant-like phenotype, suggesting it was important to antidepressant action. In this report, in the first stage, we used a cost-effective pooled-sequencing strategy to sequence the entire HTR7 gene and its regulatory regions to investigate the association of common variants in HTR7 and clinical response to four selective serotonin reuptake inhibitors (SSRIs: citalopram, paroxetine, fluoxetine and sertraline) in a retrospective cohort mainly consisting of subjects with bipolar disorder (n = 359). We found 80 single-nucleotide polymorphisms (SNPs) with false discovery rate < 0.05 associated with response to paroxetine. Among the significant SNPs, rs7905446 (T/G), which is located at the promoter region, also showed nominal significance (P < 0.05) in fluoxetine group. GG/TG genotypes for rs7905446 and female gender were associated with better response to two SSRIs (paroxetine and fluoxetine). In the second stage, we replicated this association in two independent prospective samples of SSRI-treated patients with major depressive disorder: the MARS (n = 253, P = 0.0169) and GENDEP studies (n = 432, P = 0.008). The GG/TG genotypes were consistently associated with response in all three samples. Functional study of rs7905446 showed greater activity of the G allele in regulating expression of HTR7. The G allele displayed higher luciferase activity in two neuronal-related cell lines, and estrogen treatment decreased the activity of only the G allele. Electrophoretic mobility shift assay suggested that the G allele interacted with CCAAT/enhancer-binding protein beta transcription factor (TF), while the T allele did not show any interaction with any TFs. Our results provided novel pharmacogenomic evidence to support the role of HTR7 in association with antidepressant response.

Difference of Symptoms Networks in Early and Late Phase Schizophrenia; A Cross-Sectional Network Analysis.

OBJECTIVE: The functional remission or recovery of schizophrenia patients is a challenging task which relies on pharmacotherapy but also on the timing of psychotherapy and other therapeutic interventions. The study aimed to assess the difference in strength and structure of symptoms networks between early and late phase schizophrenia. Our secondary objective was to check whether the overall, positive, negative, and general symptoms severity change over the course of treatment and disorder. METHODS: This nested cross-sectional analysis combined the samples from two studies performed during 2014-2016 at University Psychiatric Hospital Vrapce, Zagreb, Croatia on the consecutive sample of men 30-60 years old diagnosed with schizophrenia, 85 of them in the early (≤5 years from diagnosis), and 143 in the late phase of the illness. The study was funded by the project: "Biomarkers in schizophrenia - integration of complementary methods in longitudinal follow up of FEP patients". RESULTS: Median (IQR) age of the participant in the early phase was 36 (32-45) years and in the late phase 44 (38-49) years. Patients in the early phase had significantly higher odds for being in the symptomatic remission compared to the patients in the late-phase schizophrenia (OR=2.11; 95% CI 1.09-4.09) and had 10% less pronounced negative symptoms. The global strength, density, and structure of the symptoms network were not significantly different between the two study groups. CONCLUSIONS: Negative symptoms severity change with the course of illness and differ from the early to the late phase of schizophrenia. However, the overall network of psychotic symptoms is relatively stable, and overall strengths or density and the partial relationship between particular symptoms do not change significantly. The observed worsening of negative symptoms is probably at least partially caused by the lack of clear guidelines and effective treatment options aimed specifically toward negative symptoms.

Choline and N-acetyl aspartate levels in the dorsolateral prefrontal cortex at the beginning of the recovery phase as markers of increased risk for depressive episode recurrence under different duration of maintenance therapy and after it: a retrospective cohort study.

AIM: To evaluate the relationship between the dynamics of proton magnetic resonance spectroscopy (1H-MRS) brain metabolite levels at the beginning of the recovery phase of the index depressive episode and the time to the recurrence of depression. METHODS: This retrospective cohort study analyzed the changes in N-acetyl aspartate (NAA), choline (Cho), and glutamate-glutamine in 48 patients with recurrent depression treated with maintenance antidepressant monotherapy at a stable dose. 1H-MRS was performed at the start of the recovery phase and 6 months later. 1H-MRS parameters, index episode descriptors, and depressive disorder course were analyzed by Cox proportional hazards model. RESULTS: NAA and Cho decrease six months after the beginning of the recovery period were time-independent risk factors for depressive episode recurrence. Hazard ratio associated with NAA decrease was 2.02 (95% confidence interval 1.06-3.84) and that associated with Cho decrease was 2.06 (95% confidence interval 1.02-4.17). These changes were not related to symptoms severity, as Montgomery-Asberg Depression Scale score remained generally unchanged (mean -0.01; standard deviation 1.6) over the first 6 months of recovery. CONCLUSION: Patients receiving maintenance antidepressant therapy after recovery who experience a decrease in NAA or Cho levels early in the recovery phase have a double risk of depressive episode recurrence. Sustained NAA and Cho levels at the beginning of the recovery phase may indicate increased brain resilience conferred by antidepressant therapy, while NAA and Cho decrease may indicate only the trait-related temporal effect of therapy in another stratum of patients.

Association between C-reactive protein (CRP) with depression symptom severity and specific depressive symptoms in major depression.

INTRODUCTION: Population-based studies have associated inflammation, particularly higher C-reactive protein (CRP), with depressive severity, but clinical trials in major depressive disorder were rather non-specific without examining the role of gender. We aimed to investigate the association between CRP and overall depression severity including specific depressive symptoms and to examine potential gender differences. METHODS: We included 231 individuals with major depressive disorder from the Genome-Based Therapeutics Drugs for Depression (GENDEP) study. At baseline, we assessed high-sensitivity CRP levels and psychopathology with the Montgomery Aasberg Depression Rating Scale (MADRS). We performed linear regression analyses to investigate the association between baseline CRP levels with overall MADRS severity and specific symptoms at baseline and adjusted for age, gender, anti-inflammatory and psychotropic drug treatment, body mass index, smoking, inflammatory diseases, and recruitment center. RESULTS: Higher CRP levels were significantly associated with greater overall MADRS symptom severity (p=0.02), which was significant among women (p=0.02) but not among men (p=0.68). Among women, higher CRP was associated with increased severity on observed mood, cognitive symptoms, interest-activity, and suicidality, but we found no significant associations among men. Interaction analyses showed no significant gender differences on the overall MADRS score or specific symptoms. DISCUSSION: Our results support the sickness syndrome theory suggesting that chronic low-grade inflammation may be associated with a subtype of depression. The potential gender differences in psychopathology may be explained by biological and/or psychosocial factors, e.g. differential modulation of immune responses by sex hormones. Clinical studies should investigate symptom-specific and/or gender-specific treatment guided by peripheral inflammatory markers.

Predicting symptom clusters of posttraumatic stress disorder (PTSD) in Croatian war veterans: the role of socio-demographics, war experiences and subjective quality of life.

BACKGROUND: Previous research has documented multiple chains of risk in the development of PTSD among war veterans. However, existing studies were mostly carried out in the West, while they also did not analyze specific symptom clusters of PTSD. The aim of this study was to examine the role of socio-demographic characteristics, war experiences and subjective quality of life in the prediction of three clusters of PTSD symptoms (i.e., avoidance, intrusion, hyperarousal). SUBJECTS AND METHODS: This study comprised 184 male participants who have survived war imprisonment during the Croatian Homeland War in the period from 1991 to 1995. The data was collected through several self-report measuring instruments: questionnaire on socio-demographic data, war experiences (Questionnaire on Traumatic Combat and War Experiences), subjective quality of life (WHO-Five Well-being Index), and PTSD symptoms (Impact of Events Scale - Revised). RESULTS: The level of three symptom clusters of PTSD was found to be moderate to high, as indicated by the scores on the IES-R. Results of the three hierarchical regression analyses showed the following: traumatic war experiences were significant predictors of avoidance symptoms; traumatic war experiences and subjective quality of life were significant predictors of hyperarousal symptoms; and traumatic war experiences, material status and subjective quality of life were significant predictors of intrusion symptoms. CONCLUSIONS: These findings support the widespread belief that the development of war-related PTSD is accounted for by multiple chains of risk, while traumatic war experiences seem to be the only predictor of all three symptom clusters. Future research should put more emphasis on specific PTSD symptom clusters when investigating the etiopathogenesis of this disorder among war-affected populations.

Meta-analysis of CYP2C19 and CYP2D6 metabolic activity on antidepressant response from 13 clinical studies using genotype imputation.

Cytochrome P450 enzymes including CYP2C19 and CYP2D6 are important for antidepressant metabolism and polymorphisms of these genes have been determined to predict metabolite levels. Nonetheless, more evidence is needed to understand the impact of genetic variations on antidepressant response. In this study, individual clinical and genetic data from 13 studies of European and East Asian ancestry populations were collected. The antidepressant response was clinically assessed as remission and percentage improvement. Imputed genotype was used to translate genetic polymorphisms to metabolic phenotypes (poor, intermediate, normal, and rapid+ultrarapid) of CYP2C19 and CYP2D6. The association of CYP2C19 and CYP2D6 metabolic phenotypes with treatment response was examined using normal metabolizers as the reference. Among 5843 depression patients, a higher remission rate was found in CYP2C19 poor metabolizers compared to normal metabolizers at nominal significance but did not survive after multiple testing correction (OR=1.46, 95% CI [1.03, 2.06], p=0.033, heterogeneity I2=0%, subgroup difference p=0.72). No metabolic phenotype was associated with percentage improvement from baseline. After stratifying by antidepressants primarily metabolized by CYP2C19 and CYP2D6, no association was found between metabolic phenotypes and antidepressant response. Metabolic phenotypes showed differences in frequency, but not effect, between European- and East Asian-ancestry studies. In conclusion, metabolic phenotypes imputed from genetic variants using genotype were not associated with antidepressant response. CYP2C19 poor metabolizers could potentially contribute to antidepressant efficacy with more evidence needed. CYP2D6 structural variants cannot be imputed from genotype data, limiting inference of pharmacogenetic effects. Sequencing and targeted pharmacogenetic testing, alongside information on side effects, antidepressant dosage, depression measures, and diverse ancestry studies, would more fully capture the influence of metabolic phenotypes.

Genetic predictors of response to serotonergic and noradrenergic antidepressants in major depressive disorder: a genome-wide analysis of individual-level data and a meta-analysis.

BACKGROUND: It has been suggested that outcomes of antidepressant treatment for major depressive disorder could be significantly improved if treatment choice is informed by genetic data. This study aims to test the hypothesis that common genetic variants can predict response to antidepressants in a clinically meaningful way. METHODS AND FINDINGS: The NEWMEDS consortium, an academia-industry partnership, assembled a database of over 2,000 European-ancestry individuals with major depressive disorder, prospectively measured treatment outcomes with serotonin reuptake inhibiting or noradrenaline reuptake inhibiting antidepressants and available genetic samples from five studies (three randomized controlled trials, one part-randomized controlled trial, and one treatment cohort study). After quality control, a dataset of 1,790 individuals with high-quality genome-wide genotyping provided adequate power to test the hypotheses that antidepressant response or a clinically significant differential response to the two classes of antidepressants could be predicted from a single common genetic polymorphism. None of the more than half million genetic markers significantly predicted response to antidepressants overall, serotonin reuptake inhibitors, or noradrenaline reuptake inhibitors, or differential response to the two types of antidepressants (genome-wide significance p<5×10(-8)). No biological pathways were significantly overrepresented in the results. No significant associations (genome-wide significance p<5×10(-8)) were detected in a meta-analysis of NEWMEDS and another large sample (STAR*D), with 2,897 individuals in total. Polygenic scoring found no convergence among multiple associations in NEWMEDS and STAR*D. CONCLUSIONS: No single common genetic variant was associated with antidepressant response at a clinically relevant level in a European-ancestry cohort. Effects specific to particular antidepressant drugs could not be investigated in the current study. Please see later in the article for the Editors' Summary.

Self-report and clinician-rated measures of depression severity: can one replace the other?

BACKGROUND: It has been suggested that clinician-rated scales and self-report questionnaires may be interchangeable in the measurement of depression severity, but it has not been tested whether clinically significant information is lost when assessment is restricted to either clinician-rated or self-report instruments. The aim of this study is to test whether self-report provides information relevant to short-term treatment outcomes that is not captured by clinician-rating and vice versa. METHODS: In genome-based drugs for depression (GENDEP), 811 patients with major depressive disorder treated with escitalopram or nortriptyline were assessed with the clinician-rated Montgomery-Åsberg Depression Rating Scale (MADRS), Hamilton Rating Scale for Depression (HRSD), and the self-report Beck Depression Inventory (BDI). In sequenced treatment alternatives to relieve depression (STAR*D), 4,041 patients treated with citalopram were assessed with the clinician-rated and self-report versions of the Quick Inventory of Depressive Symptomatology (QIDS-C and QIDS-SR) in addition to HRSD. RESULTS: In GENDEP, baseline BDI significantly predicted outcome on MADRS/HRSD after adjusting for baseline MADRS/HRSD, explaining additional 3 to 4% of variation in the clinician-rated outcomes (both P < .001). Likewise, each clinician-rated scale significantly predicted outcome on BDI after adjusting for baseline BDI and explained additional 1% of variance in the self-reported outcome (both P < .001). The results were confirmed in STAR*D, where self-report and clinician-rated versions of the same instrument each uniquely contributed to the prediction of treatment outcome. CONCLUSIONS: Complete assessment of depression should include both clinician-rated scales and self-reported measures.

Dissecting the genetic heterogeneity of depression through age at onset.

Genome-wide studies in major depression have identified few replicated associations, potentially due to heterogeneity within the disorder. Several studies have suggested that age at onset (AAO) can distinguish sub-types of depression with specific heritable components. This paper investigates the role of AAO in the genetic susceptibility for depression using genome-wide association data on 2,746 cases and 1,594 screened controls from the RADIANT studies, with replication performed in 1,471 cases and 1,403 controls from two Munich studies. Three methods were used to analyze AAO: First a time-to-event analysis with controls censored, secondly comparing controls to case-subsets defined using AAO cut-offs, and lastly analyzing AAO as a quantitative trait. In the time-to-event analysis three SNPs reached suggestive significance (P < 5E-06), overlapping with the original case-control analysis of this study. In a case-control analysis using AAO thresholds, SNPs in 10 genomic regions showed suggestive association though again none reached genome-wide significance. Lastly, case-only analysis of AAO as a quantitative trait resulted in 5 SNPs reaching suggestive significance. Sex specific analysis was performed as a secondary analysis, yielding one SNP reaching genome-wide significance in early-onset males. No SNPs achieved significance in the replication study after correction for multiple testing. Analysis of AAO as a quantitative trait did suggest that, across all SNPs, common genetic variants explained a large proportion of the variance (51%, P = 0.04). This study provides the first focussed analysis of the genetic contribution to AAO in depression, and establishes a statistical framework that can be applied to a quantitative trait underlying any disorder.

Changes in psychiatric services dynamics during the COVID-19 pandemic: Recognizing the need for resources shift.

With the significant impact of COVID-19 pandemic on the health, and the functioning of health care system, it has become increasingly important to understand changes in the ways health services were utilized and the factors influencing it. Drop in psychiatric admissions was seen during the pandemic, but also an increase in acute hospitalizations and emergency visits. Our aim was to analyze changes in out- and in-patient services utilization in the largest Croatian psychiatric institution during the first year of the pandemic, observed through the lens of the stringency index, and compare it to the pre-pandemic year. Along with an overall drop in hospitalizations, but a unit-specific rise in hospitalization, we have observed a non-significant overall drop in regular outpatient visits, and a significant drop coinciding with strictest epidemiological measures. There was also a significant increase in emergency visits coinciding with epidemiological measures that failed to return to pre-pandemic values, pointing to an expected significant and prolonged burden on emergency services. Simultaneous analysis of changing dynamics of mental health care service utilization during the pandemic helps us identify specific points of increased burden, and help us plan for early and flexible resources shift in order to adequately respond to evolving challenges.

Identifying the Common Genetic Basis of Antidepressant Response.

Background: Antidepressants are a first-line treatment for depression. However, only a third of individuals experience remission after the first treatment. Common genetic variation, in part, likely regulates antidepressant response, yet the success of previous genome-wide association studies has been limited by sample size. This study performs the largest genetic analysis of prospectively assessed antidepressant response in major depressive disorder to gain insight into the underlying biology and enable out-of-sample prediction. Methods: Genome-wide analysis of remission (n remit = 1852, n nonremit = 3299) and percentage improvement (n = 5218) was performed. Single nucleotide polymorphism-based heritability was estimated using genome-wide complex trait analysis. Genetic covariance with eight mental health phenotypes was estimated using polygenic scores/AVENGEME. Out-of-sample prediction of antidepressant response polygenic scores was assessed. Gene-level association analysis was performed using MAGMA and transcriptome-wide association study. Tissue, pathway, and drug binding enrichment were estimated using MAGMA. Results: Neither genome-wide association study identified genome-wide significant associations. Single nucleotide polymorphism-based heritability was significantly different from zero for remission (h 2 = 0.132, SE = 0.056) but not for percentage improvement (h 2 = -0.018, SE = 0.032). Better antidepressant response was negatively associated with genetic risk for schizophrenia and positively associated with genetic propensity for educational attainment. Leave-one-out validation of antidepressant response polygenic scores demonstrated significant evidence of out-of-sample prediction, though results varied in external cohorts. Gene-based analyses identified ETV4 and DHX8 as significantly associated with antidepressant response. Conclusions: This study demonstrates that antidepressant response is influenced by common genetic variation, has a genetic overlap schizophrenia and educational attainment, and provides a useful resource for future research. Larger sample sizes are required to attain the potential of genetics for understanding and predicting antidepressant response.

Changes in body weight during pharmacological treatment of depression.

The risk of weight gain is an important determinant of the acceptability and tolerability of antidepressant medication. To compare changes in body weight during treatment with different antidepressants, body weight and height were measured at baseline and after 6, 8, 12 and 26 wk treatment with escitalopram or nortriptyline in 630 adults with moderate-to-severe unipolar depression participating in GENDEP, a part-randomized open-label study. Weight increased significantly more during treatment with nortriptyline compared to escitalopram. The weight gain commenced during the first 6 wk of nortriptyline treatment, reached on average 1.2 kg at 12 wk (0.44-point BMI increase), and continued throughout the 6-month follow-up period. Participants who were underweight at baseline gained most weight. Participants who were obese at baseline did not gain more weight during treatment. Weight gain occurred irrespective of whether weight loss was a symptom of current depressive episode and was identified as an undesired effect of the antidepressant by most participants who gained weight. There was little weight change during treatment with escitalopram, with an average increase of 0.14 kg (0.05-point BMI increase) over 12 wk of treatment. In conclusion, treatment with the tricyclic antidepressant nortriptyline was associated with moderate weight gain, which cannot be explained as a reversal of symptomatic weight loss and is usually perceived as an undesired adverse effect. While treatment with nortriptyline may be recommended in underweight subjects with typical neurovegetative symptoms, escitalopram is a suitable alternative for subjects at risk of weight gain.

Age-developmental stage and severity of trauma related symptoms, anxiety and depressive symptoms in participants who lost their fathers during the war in Croatia.

Children of different ages will experience a traumatic event in a different ways. The most important in the generalization of research findings is recognizing that children of different ages think differently, act differently and have different emotional functioning. Experiences that are extremely traumatic to an adult may be perceived by a young child as something that is not so frightening. The fear that the child feels will more frequently be a reflection of that of the adult rather than generated by the child's own perception of the event. So, the individual experience of the trauma is age dependent. Our study focused on children who lost their fathers in conditions of war The aim was to explore the association between age-developmental stages and the severity of trauma related symptoms, anxiety and depressive symptoms in participants who lost their fathers during the war. The study included 103 people who lost their fathers during the war in Croatia, who came to the physical and psychiatric examination organized by the Ministry of Family, War Veterans and Intergenerational Solidarity. The sample was consisted of the participants who were children, or not born yet, at the time when they lost their fathers during the war in Croatia. At the time of interview, the participants were aged between 15 and 35 years old. Data was collected using a structured clinical interview which also included socio-demographic data. Data about former and current psychiatric symptoms were collected using the following instruments: Clinician- Administrated PTSD Scale (CAPS), Hamilton anxiety scale (HAMA), Hamilton depression scale (HAMD). Results showed that there was significant correlation between age and results on used scales. The participants who lost their fathers at a very young age or even before they were born showed less trauma symptoms (r=0.249; p < 0.05) less anxiety (r=0.374; p < 0.01) and depressive (r=0.384; p<0.01) symptoms than participants who lost their fathers at an older age. The study confirmed that the individual experience of the trauma of losing a father in war circumstances is associated with age.

Changes in brain metabolites measured with magnetic resonance spectroscopy in antidepressant responders with comorbid major depression and posttraumatic stress disorder.

In a present pilot study, performed on 11 subjects, we studied proton magnetic resonance spectroscopy (1H-MRS) changes in early to intermediate (3-6 weeks) responders to antidepressant treatment with selective serotonin reuptake inhibitors (SSRIs). All subjects had diagnosis of major recurrent depression comorbid to posttraumatic stress disorder (PTSD). Magnetic spectroscopy was done in the region of dorsolateral prefrontal cortex on a 3T MRI-unit. Participants were selected out of the larger sample due to an early response to antidepressant treatment within 3-6 weeks, measured with Beck Depression Inventory (BDI). We measured levels of neuronal marker N-acetyl-aspartate (NAA), choline (CHO) and creatine (Cr). There was no difference in NAA/Cr ratios between the first and the second spectroscopic scans (p= 0.751). However, CHO/Cr ratios showed increasing trend with mean value at the first scan of 1.09 (SD =0.22) while mean value at second scan was 1.25 (SD=0.24), displaying statistically significant difference (p=0.015). In conclusion, significant increase in choline to creatine ratio from the first to the second spectroscopic scan during the antidepressant treatment, compared to almost identical values of NAA to creatine ratio, suggests increased turnover of cell membranes as a mechanism of the early response to the antidepressant drug therapy.

Comparison of hippocampal volumes in schizophrenia, schizoaffective and bipolar disorder.

The reduction of hippocampal volume was frequently reported in schizophrenia, but not in bipolar disorder This volume reduction is associated with clinical features of schizophrenia, in particular with working and verbal memory impairments. Schizoaffective disorder, as a specific disorder sharing clinical features of both schizophrenia and bipolar disorder is rarely analyzed as a separate disorder in neurobiological studies. The aim of this study was to compare hippocampal volumes in separate groups of patients with schizophrenia, schizoaffective and bipolar disorder. Hippocampal volumes were estimated using high resolution magnetic resonance imaging in 60 subjects, 15 subjects in each patient and one healthy volunteer (control) group. There were no significant differences in hippocampal volume between bipolar disorder and control group. Hippocampal volume was statistically significantly reduced in the group of patients with schizophrenia and schizoaffective disorder, compared to either bipolar disorder or control group, thus supporting the hypothesis that hippocampal volume reduction could be considered as a possible neurobiological basis for clinical aspects of schizophrenia and schizoaffective disorder associated with working and verbal memory impairment.

Fragile X-premutation tremor/ataxia syndrome (FXTAS) in a young woman: clinical, genetics, MRI and 1H-MR spectroscopy correlates.

It is generally thought that fragile X-associated tremor/ataxia syndrome (FXTAS) represents a late-onset neurodegenerative disorder occuring in male carriers of a premutation expansion (55-200 CGG repeats) in the fragile X mental retardation 1 (FMR 1) gene. However, several female patients with FXTAS have also been reported recently. Here, we describe a 23-year old woman with positive family history of mental retardation and autism who presented clinically with action tremor, ataxia, emotional disturbances and cognitive dysfunction. Magnetic resonance imaging (MRI) of the brain showed diffuse cortical atrophy, while 1H-MR spectroscopy (MRS) revealed decreased levels of N-acetylaspartate (NAA) in the cerebellum, basal ganglia, and pons. Genetic testing confirmed heterozygous FMR 1 gene premutation of 100 CGG repeats in the abnormal allele and 29 CGG repeats in the normal allele. We concluded that FXTAS may be an under-recognized disorder, particularly in women.