Alternative splicing regulates adaptor protein binding, trafficking, and activity of the Vps10p domain receptor SorCS2 in neuronal development.

The Vps10p domain receptor SorCS2 is crucial for the development and function of the nervous system and essential for brain-derived neurotrophic factor (BDNF)-induced changes in neuronal morphology and plasticity. SorCS2 regulates the subcellular trafficking of the BDNF signaling receptor TrkB as well as selected neurotransmitter receptors in a manner that is dependent on the SorCS2 intracellular domain (ICD). However, the cellular machinery and adaptor protein (AP) interactions that regulate receptor trafficking via the SorCS2 ICD are unknown. We here identify four splice variants of human SorCS2 differing in the insertion of an acidic cluster motif and/or a serine residue within the ICD. We show that each variant undergoes posttranslational proteolytic processing into a one- or two-chain receptor, giving rise to eight protein isoforms, the expression of which differs between neuronal and nonneuronal tissues and is affected by cellular stressors. We found that the only variants without the serine were able to rescue BDNF-induced branching of SorCS2 knockout hippocampal neurons, while variants without the acidic cluster showed increased interactions with clathrin-associated APs AP-1, AP-2, and AP-3. Using yeast two-hybrid screens, we further discovered that all variants bound dynein light chain Tctex-type 3; however, only variants with an acidic cluster motif bound kinesin light chain 1. Accordingly, splice variants showed markedly different trafficking properties and localized to different subcellular compartments. Taken together, our findings demonstrate the existence of eight functional SorCS2 isoforms with differential capacity for interactions with cytosolic ligands dynein light chain Tctex-type 3 and kinesin light chain 1, which potentially allows cell-type specific SorCS2 trafficking and BDNF signaling.

Comparison of the clinical presentation across two waves of COVID-19: a retrospective cohort study.

BACKGROUND: Only a few studies have performed comprehensive comparisons between hospitalized patients from different waves of COVID-19. Thus, we aimed to compare the clinical characteristics and laboratory data of patients admitted to the western part of Denmark during the first and second waves of COVID-19 in 2020. Furthermore, we aimed to identify risk factors for critical COVID-19 disease and to describe the available information on the sources of infection. METHODS: We performed a retrospective study of medical records from 311 consecutive hospitalized patients, 157 patients from wave 1 and 154 patients from wave 2. The period from March 7 to June 30, 2020, was considered wave 1, and the period from July 1st to December 31, 2020, was considered wave 2. Data are presented as the total study population, as a comparison between waves 1 and 2, and as a comparison between patients with and without critical COVID-19 disease (nonsurvivors and patients admitted to the intensive care unit (ICU)). RESULTS: Patients admitted during the first COVID-19 wave experienced a more severe course of disease than patients admitted during wave 2. Admissions to the ICU and fatal disease were significantly higher among patients admitted during wave 1 compared to wave 2. The percentage of patients infected at hospital decreased in wave 2 compared to wave 1, whereas more patients were infected at home during wave 2. We found no significant differences in sociodemographics, lifestyle information, or laboratory data in the comparison of patients from waves 1 and 2. However, age, sex, smoking status, comorbidities, fever, and dyspnea were identified as risk factors for critical COVID-19 disease. Furthermore, we observed significantly increased levels of C-reactive protein and creatinine, and lower hemoglobin levels among patients with critical disease. CONCLUSIONS: At admission, patients were more severely ill during wave 1 than during wave 2, and the outcomes were worse during wave 1. We confirmed previously identified risk factors for critical COVID-19 disease. In addition, we found that most COVID-19 infections were acquired at home.

Association between circulating proprotein convertase subtilisin/kexin type 9 levels and prognosis in patients with severe chronic kidney disease.

BACKGROUND: Chronic kidney disease is a risk factor for premature development of coronary atherosclerosis and mortality. A high level of proprotein convertase subtilisin/kexin type 9 (PCSK9) is a recently recognized cardiovascular risk factor and has become the target of effective inhibitory treatment. In 167 kidney transplantation candidates, we aimed to: (i) compare levels of PCSK9 with those of healthy controls, (ii) examine the association between levels of PCSK9 and low-density lipoprotein cholesterol (LDL-c) and the degree of coronary artery disease (CAD) and (iii) evaluate if levels of PCSK9 predict major adverse cardiac events (MACE) and mortality. METHODS: Kidney transplant candidates (n = 167) underwent coronary computed tomography angiography (CCTA) and invasive coronary angiography (ICA) before transplantation. MACE and mortality data were extracted from the Western Denmark Heart Registry, a review of patient records and patient interviews. A group of 79 healthy subjects were used as controls. RESULTS: Mean PCSK9 levels did not differ between healthy controls and kidney transplant candidates. In patients not receiving lipid-lowering therapy, PCSK9 correlated positively with LDL-c (rho = 0.24, P < 0.05). Mean PCSK9 was similar in patients with and without obstructive CAD at both CCTA and ICA. In a multiple regression analysis, PCSK9 was associated with neither LDL-c (ß=-6.45, P = 0.44) nor coronary artery calcium score (ß=2.17, P = 0.84). During a follow-up of 3.7 years, PCSK9 levels were not associated with either MACE or mortality. CONCLUSIONS: The ability of PCSK9 levels to predict cardiovascular disease and prognosis does not seem to apply to a cohort of kidney transplant candidates.

Gene-environment interactions between HPA-axis genes and childhood maltreatment in depression: a systematic review.

OBJECTIVE: Gene-environment (GxE) interactions may comprise an important part of the aetiology of depression, and childhood maltreatment (CM), a significant stressor, has consistently been linked to depression. Hence, in this systematic review, we aimed to investigate the interaction between hypothalamus-pituitary-adrenal axis (HPA-axis) genes and CM in depression. METHODS: We conducted a literature search using the Pubmed, Embase, and PsychINFO databases in adherence with the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. We included studies investigating GxE interactions between HPA-axis genes [Angiotensin Converting Enzyme (ACE), Arginine Vasopressin (AVP), Corticotrophin Releasing Hormone (CRH), Corticotrophin Releasing Hormone Receptor 1 (CRHR1), Corticotrophin Releasing Hormone Receptor 2 (CRHR2), FK506 binding protein (FKBP5), Nuclear Receptor subfamily 3 group C member 1 (NR3C1), Nuclear Receptor subfamily 3 group C member 2 (NR3C2)] and CM in depression. RESULTS: The literature search identified 159 potentially relevant studies. Following screening, 138 of these were excluded. Thus, 21 studies, investigating a total of 51 single nucleotide polymorphisms, were included in the final study. The most prevalent genes in the current study were CRHR1 and FKBP5. Significant GxE interactions were reported in seven of eight studies for CRHR1:rs110402 and CM, and in five of eight studies for FKBP5:rs1360780 and CM. In summary, our results suggest possible GxE interactions between CRHR1, FKBP5, NR3C1, and NR3C2 and CM, respectively. For the remaining genes, no relevant literature emerged. CONCLUSIONS: We find that genetic variation in four HPA-axis genes may influence the effects of CM in depression.

Effect of antidepressant switching between nortriptyline and escitalopram after a failed first antidepressant treatment among patients with major depressive disorder.

BACKGROUND: For patients with major depressive disorder (MDD) experiencing side-effects or non-response to their first antidepressant, little is known regarding the effect of switching between a tricyclic antidepressant (TCA) and a selective serotonin reuptake inhibitor (SSRI).AimsTo compare the switch between the TCA nortriptyline and the SSRI escitalopram. METHOD: Among 811 adults with MDD treated with nortriptyline or escitalopram for up to 12 weeks, 108 individuals switched from nortriptyline to escitalopram or vice versa because of side-effects or non-response (trial registration: EudraCT No.2004-001723-38 (https://eudract.ema.europa.eu/) and ISRCTN No.03693000 (http://www.controlled-trials.com)). Patients were followed for up to 26 weeks after switching and response was measured with the Montgomery-Åsberg Depression Rating scale (MADRS). We performed adjusted mixed-effects linear regression models with full information maximum likelihood estimation reporting ß-coefficients with 95% CIs. RESULTS: Switching antidepressants resulted in a significant decrease in MADRS scores. This was present for switchers from escitalopram to nortriptyline (n = 36, ß = -0.38, 95% CI -0.51 to -0.25, P<0.001) and from nortriptyline to escitalopram (n = 72, ß = -0.34, 95% CI -0.41 to -0.26, P<0.001). Both switching options resulted in significant improvement among individuals who switched because of non-response or side-effects. The results were supported by analyses on other rating scales and symptom dimensions. CONCLUSIONS: These results suggest that switching from a TCA to an SSRI or vice versa after non-response or side-effects to the first antidepressant may be a viable approach to achieve response among patients with MDD.Declarations of interestK.J.A. holds an Alberta Centennial Addiction and Mental Health Research Chair, funded by the Government of Alberta. K.J.A. has been a member of various advisory boards, received consultancy fees and honoraria, and has received research grants from various companies including Johnson and Johnson Pharmaceuticals Research and Development and Bristol-Myers Squibb Pharmaceuticals Limited. D.S. has served on advisory boards for, and received unrestricted grants from, Lundbeck and AstraZeneca. A.F. and P.M. have received honoraria for participating in expert panels for Lundbeck and GlaxoSmithKline.

Serotonergic Regulation and Cognition after Stroke: The Role of Antidepressant Treatment and Genetic Variation.

INTRODUCTION: Serotonin affects several brain functions including cognition. The serotonin transporter (SERT) regulates brain serotonin levels through reuptake into neurons. The gene encoding this transporter, the SERT gene, has several functional polymorphisms affecting the number of transporters and thereby the serotonin levels. SERT gene expression may be important for cognition and selective serotonin reuptake inhibitors (SSRI) may improve cognition post stroke. We therefore examined the association between SERT genotypes, cognitive function and early treatment with the SSRI citalopram among non-depressed Caucasian stroke patients. PATIENTS AND METHODS: SERT gene polymorphisms in 270 non-depressed first-ever acute ischemic stroke patients randomized to citalopram, n = 130, or placebo, n = 140, were investigated. Patients were genotyped for a length polymorphism (L = long and S = short allele) and a single nucleotide polymorphism (A/G substitution) dividing the L-allele into LA and LG. According to these genotypes, patients were further grouped according to low (S/S, LG/S and LG/LG), medium (S/LA and LG/LA), or high functional gene expression (LALA). Cognition was measured by the Symbol Digit Modalities Test (SDMT) at 1 and 6 months. Mean SDMT scores according to genotype and randomization groups were compared using multiple logistic regression adjusting for age, stroke severity, premorbid functional status, and vascular risk factors including smoking, hypertension, and diabetes. RESULTS: Stratified by genotype groups, there were no statistically significant differences in SDMT scores between randomization groups. Placebo-treated patients with low SERT expression genotypes, however, tended to have lower mean SDMT scores (at 1 month: 30.2, SD 10.8) compared to citalopram-treated patients (33.6, SD 13.7). Within the placebo group, the low genotype expression patients had significantly lower adjusted mean SDMT scores at 1 month compared to the high genotype expression patients (adjusted mean difference of -6 points, CI -12.0 to -0.05). We found similar results at 6 months, although not statistically significant. The genotype expression was not associated with SDMT scores among citalopram-treated patients. CONCLUSION: There was no difference in cognition between citalopram and placebo-treated patients according to the genotype group. Our results indicate, however, that low expression SERT genotype may contribute to reduced cognitive function post stroke as placebo-treated patients with low SERT expression tended to score lower on the SDMT. The significant difference in SDMT scores between low and high expression patients was present only in the placebo-treated group, thereby warranting further exploration of the potential effect of early citalopram treatment on cognitive functioning. Our results are preliminary and need replication in larger-scale studies.

Gene-environment interactions between HPA-axis genes and stressful life events in depression: a systematic review.

OBJECTIVE: Depression is a disorder caused by genetics and environmental factors. The aim of this study was to perform a review investigating the interaction between genetic variations located in genes involved in hypothalamus-pituitary-adrenal axis (HPA-axis) and stressful life events (SLEs) in depression. METHODS: In this systematic review, we selected articles investigating the interaction between genes involved in the HPA-axis, such as Arginine Vasopressin (AVP), Angiotensin Converting Enzyme (ACE), Corticotrophin Releasing Hormone (CRH), Corticotrophin Releasing Hormone Receptor 1 (CRHR1), Corticotrophin Releasing Hormone Receptor 2 (CRHR2), FK506 binding protein (FKBP5), Nuclear Receptor subfamily 3 group C member 1 (NR3C1), Nuclear Receptor subfamily 3 group C member 2 (NR3C2), and SLE. The literature search was conducted using the Pubmed, Embase, and PsychINFO databases in adherence with the PRISMA guidelines. RESULTS: The search yielded 48 potentially relevant studies, of which 40 were excluded following screening. Eight studies were included in the final review. A total of 97 single nucleotide polymorphisms (SNPs) were examined in the eight included studies. The most prevalent gene was FKBP5, and the best studied polymorphism was FKBP5:rs1360780. Two of the five studies reported significant gene-environment (G × E) interactions between rs1360780 and SLE. Overall, four studies reported significant G × E interactions between FKBP5, CRH, or CRHR1 and SLE, respectively. No significant G × E interactions were found for the remaining genes. CONCLUSIONS: Our results suggest that genetic variation in three genes in the HPA-axis possibly moderate the effects of SLEs in depression.

The Serotonin Transporter Gene Polymorphisms and Risk of Ischemic Stroke.

INTRODUCTION: Serotonin is known as a neurotransmitter; however, it also plays an important role in platelet aggregation as it is released upon platelet activation. The serotonin transporter (SERT) is responsible for the uptake of serotonin into platelets. Functional polymorphisms in the SERT gene may influence platelet activity, as they result in different levels of transporters and thereby different levels of serotonin in platelets. SERT gene polymorphisms have thus been associated with the risk of myocardial infarction. A similar association may exist between SERT gene polymorphisms and stroke. However, to our knowledge, this potential association has not previously been studied. We therefore aimed to investigate the association between polymorphisms in the SERT gene and the risk of ischemic stroke/transitory ischemic attack (TIA). MATERIALS AND METHODS: We conducted a case-control study including 834 consecutively admitted first-ever Caucasian ischemic stroke patients/TIA from Aarhus University Hospital, Denmark and 571 healthy controls. The control group comprised a sample from the Danish working population, who were all employees in the public sector in the Central Denmark Region. Two polymorphisms, the length variation (short = S/long = L) in the serotonin-transporter-linked polymorphic region and a single-nucleotide (A/G) polymorphism (rs25531) were studied. The genotypes were grouped according to the functional activity: SS, SLG and LGLG (low expression), SLA, LGLA (medium expression), and LALA (high expression). Data were analyzed using logistic regression and results presented as OR with 95% CI. RESULTS: The high-expression genotype was associated with a lower risk of ischemic stroke/TIA when compared to both the medium expression genotype (OR 0.72, 95% CI 0.56-0.93) and the low-expression genotype (OR 0.75, 95% CI 0.55-1.01) as well as the combination of the low and medium expression genotypes (OR 0.73, 95% CI 0.58-0.93). The lower OR estimates associated with the high-expression genotype were consistent across all stroke subtypes, although not statistically significant. The results remained virtually unchanged, although not reaching statistical significance, when adjusting for age and gender. CONCLUSION: The presence of the high expression SERT genotype (LALA) may be associated with a lower risk of ischemic stroke/TIA. This is, to our knowledge, the first study examining the SERT gene polymorphisms and the risk of stroke. The present results raise interesting considerations for future personalized medicine potential, and we argue that further larger-scale studies with sufficient power to study subgroups according to stroke etiology and stroke-onset age are needed.

Investigation of serum levels of sortilin in response to antidepressant treatment.

BACKGROUND: The identification of biomarkers for depression is of great clinical relevance as the diagnosis is currently subjective. Recent research points towards sortilin as a potential biomarker for depression, and the aim of the current study was to investigate the serum sortilin level in response to antidepressant treatment. METHODS: The study included 56 depressed individuals of which 41 responded to treatment. Depression scores and serum levels of sortilin were measured at baseline and after 12 weeks of antidepressant treatment. Statistical analyses were performed using Stata 13. RESULTS: The depression score and response to treatment were not predicted by the sortilin level. Likewise, we observed no significant change in serum sortilin levels following 12 weeks of antidepressant treatment. Furthermore, no association between the serum sortilin level and depression score was observed. CONCLUSION: The results do not point towards sortilin as a state-dependent biomarker.

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.

Cuba: exploring the history of admixture and the genetic basis of pigmentation using autosomal and uniparental markers.

We carried out an admixture analysis of a sample comprising 1,019 individuals from all the provinces of Cuba. We used a panel of 128 autosomal Ancestry Informative Markers (AIMs) to estimate the admixture proportions. We also characterized a number of haplogroup diagnostic markers in the mtDNA and Y-chromosome in order to evaluate admixture using uniparental markers. Finally, we analyzed the association of 16 single nucleotide polymorphisms (SNPs) with quantitative estimates of skin pigmentation. In the total sample, the average European, African and Native American contributions as estimated from autosomal AIMs were 72%, 20% and 8%, respectively. The Eastern provinces of Cuba showed relatively higher African and Native American contributions than the Western provinces. In particular, the highest proportion of African ancestry was observed in the provinces of Guantánamo (40%) and Santiago de Cuba (39%), and the highest proportion of Native American ancestry in Granma (15%), Holguín (12%) and Las Tunas (12%). We found evidence of substantial population stratification in the current Cuban population, emphasizing the need to control for the effects of population stratification in association studies including individuals from Cuba. The results of the analyses of uniparental markers were concordant with those observed in the autosomes. These geographic patterns in admixture proportions are fully consistent with historical and archaeological information. Additionally, we identified a sex-biased pattern in the process of gene flow, with a substantially higher European contribution from the paternal side, and higher Native American and African contributions from the maternal side. This sex-biased contribution was particularly evident for Native American ancestry. Finally, we observed that SNPs located in the genes SLC24A5 and SLC45A2 are strongly associated with melanin levels in the sample.

Whole-exome sequencing implicates DGKH as a risk gene for panic disorder in the Faroese population.

The demographic history of the isolated population of the Faroe Islands may have induced enrichment of variants rarely seen in outbred European populations, including enrichment of risk variants for panic disorder (PD). PD is a common mental disorder, characterized by recurring and unprovoked panic attacks, and genetic factors have been estimated to explain around 40% of the risk. In this study the potential enrichment of PD risk variants was explored based on whole-exome sequencing of 54 patients with PD and 211 control individuals from the Faroese population. No genome-wide significant associations were found, however several single variants and genes showed strong association with PD, where DGKH was found to be the strongest PD associated gene. Interestingly DGKH has previously demonstrated genome-wide significant association with bipolar disorder as well as evidence of association to other mental disorders. Additionally, we found an enrichment of PD risk variants in the Faroese population; variants with otherwise low frequency in more outbreed European populations. © 2016 Wiley Periodicals, Inc.

Depression and BMI influences the serum vascular endothelial growth factor level.

Recent studies suggest that the angiogenic cytokine vascular endothelial growth factor (VEGF) is involved in the pathogenesis of depression. However, only a few studies have investigated serum VEGF levels in individuals with depression, or the possible association between genetic variants within the VEGF gene and depression. The purpose of the present study was to investigate differences between serum VEGF levels in individuals with depression vs. control individuals, and associations between genetic markers located within VEGF and depression. In addition, determinants of the serum VEGF levels were identified. One-hundred and fifty-five depressed subjects and 280 controls were included in the study. All individuals returned a questionnaire and participated in a semi-structured diagnostic interview. Eleven single nucleotide polymorphisms were successfully analysed. VEGF levels were measured in serum by immunoassay and independent determinants of the serum VEGF level were assessed by generalized linear models.The main findings were that depression, severity of depression, previous depressive episodes, age and body mass index (BMI) were associated with higher serum VEGF levels. The genetic marker rs10434 was significantly associated with depression after correction for multiple testing, but not with the serum VEGF level. Our final model included depression and BMI as predictors of serum VEGF levels. Our study suggests a role for circulating serum VEGF in depression. Furthermore, our data also demonstrate that other factors than a diagnosis of depression influence the serum VEGF level. The importance of these factors should be emphasized when studies are compared.

Positive association between social capital and the quality of health care service: A cross-sectional study.

BACKGROUND: Social capital is an acknowledged theoretical concept in work environment research focusing on collective resources that arise from social networks between employees in the workplace. Social capital is divided into bonding (in the work unit), bridging (between work units), and linking social capital (between the work units and management). However, only a few studies have investigated the relationship between social capital and the quality of health care, which is the key outcome of hospital services. OBJECTIVE: We investigated the associations between bonding, bridging and two types of linking social capital with the self-reported quality of health care services among Danish hospital employees. Next, we directly compared how social capital, workload and work pace each affected the quality of health care. DESIGN: A cross-sectional study at Regional Hospital West Jutland, Denmark. DATA: Questionnaire data were collected from 1589 Danish hospital employees. We used validated scales for social capital, workload, and work pace and self-developed scales for clinical quality, quality of patient involvement, and overall professional quality. METHODS: Binary logistic regression analyses were conducted. RESULTS: The analyses showed significant, positive associations of bonding and bridging social capital with all types of quality and negative associations between workload and all types of quality. The work pace was negatively associated with clinical quality. When covariates were included in the model, the associations remained statistically significant and showed no decrease in odds ratios. The marginal effects showed that when bonding and bridging social capital were increased by a single scale point, the predicted probability for a high clinical quality increased by an average of 0.5 percentage points. This increase corresponds to a change in the predicted probability of self-reported high clinical quality from 10% for the lowest reported bridging social capital to 54% for the highest reported bridging social capital. For workload and work pace, the effects were -0.2 and -0.3 percentage points, respectively. DISCUSSION & CONCLUSIONS: This study adds to the literature on positive work environment factors by focusing on social capital and the importance of well-functioning relationships within and especially between hospital units for high-quality health care. Hence, bridging and bonding social capital should be included in theoretical frameworks, as well as in hospital strategies and work environment guidelines to potentially improve the quality of health care services. However, further studies are needed to develop and test the effects of specific social capital interventions on the quality of health care services.

Association of GRIN1 and GRIN2A-D with schizophrenia and genetic interaction with maternal herpes simplex virus-2 infection affecting disease risk.

N-methyl-D-aspartate (NMDA) receptors are very important for proper brain development and several lines of evidence support that hypofunction of the NMDA receptors are involved in the pathophysiology of schizophrenia. Gene variation and gene-environmental interactions involving the genes encoding the NMDA receptors are therefore likely to influence the risk of schizophrenia. The aim of this study was to determine (1) whether SNP variation in the genes (GRIN1, GRIN2A, GRIN2B, GRIN2C, and GRIN2D) encoding the NMDA receptor were associated with schizophrenia; (2) whether GRIN gene variation in the offspring interacted with maternal herpes simplex virus-2 (HSV-2) seropositivity during pregnancy influencing the risk of schizophrenia later in life. Individuals from three independently collected Danish case control samples were genotyped for 81 tagSNPs (in total 984 individuals diagnosed with schizophrenia and 1,500 control persons) and antibodies against maternal HSV-2 infection were measured in one of the samples (365 cases and 365 controls). Nine SNPs out of 30 in GRIN2B were significantly associated with schizophrenia. One SNP remained significant after Bonferroni correction (rs1806194, P(nominal) = 0.0008). Significant interaction between maternal HSV-2 seropositivity and GRIN2B genetic variation in the offspring were observed for seven SNPs and two remained significant after Bonferroni correction (rs1805539, P(nominal) = 0.0001 and rs1806205, P(nominal) = 0.0008). The significant associations and interactions were located at the 3' region of GRIN2B suggesting that genetic variation in this part of the gene may be involved in the pathophysiology of schizophrenia.

The expression of the transcription factor FEV in adult human brain and its association with affective disorders.

A wide range of physiological processes and neuronal functioning is modulated by the serotonergic system. Serotonin (5-HT) plays an important role during early brain development. Moreover, dysfunction of the 5-HT system is implicated in psychiatric disorders, especially in affective disorders. Little is known, however, about the transcriptional mechanisms leading to a functional 5-HT system in humans. The Fifth Ewing Variant (FEV), an E-twenty-six (ETS) transcription factor, is assumed to be involved in the transcription of gene(s) in the serotonergic pathway and to play a role in early brain development. To investigate its specificity, we performed an expression analysis of FEV in different human brain regions utilizing quantitative real-time polymerase chain reaction. Our results demonstrate that FEV is not exclusively expressed in serotonergic neurons, but, on the contrary, also in several non-serotonergic brain regions such as locus coeruleus, caudate nucleus and putamen. In the latter two regions, FEV expression levels actually were higher when compared with the pons and the medulla oblongata, which contain the raphe nuclei. Additionally, we examined whether genetic variance in the FEV gene contributes to the susceptibility towards affective disorders. Direct re-sequencing, however, did not provide evidence for FEV mutations in patients, and neither were non-coding single nucleotide polymorphisms associated with disease. FEV therefore might not account for the genetic risk towards depression or bipolar disorder. Furthermore, the specificity of FEV for the serotonergic system should be reconsidered.

Functional variants of TSPAN8 are associated with bipolar disorder and schizophrenia.

Tetraspanins affect protein trafficking and are known to influence a wide variety of physiologic processes. Recently, single nucleotide polymorphisms (SNPs) of the tetraspanin gene TSPAN8 were found among the best ranked markers of genome wide association studies on bipolar disorder (BPD) (rs1705236) and type-2 diabetes, but functional consequences remained largely unknown. In the present study, we examined 13 tagging SNPs covering the TSPAN8 gene, the intronic TSPAN8 SNP rs1705236 as well as two non-synonymous (ns) SNPs in schizophrenia (SCZ) and BPD samples. In our analysis setting, we were not able to replicate the association of rs1705236 with BPD, nor did we find an association with SCZ. In the TSPAN8 upstream transcriptional control region however, we found rs4500567 to be associated with BPD. In contrast, in SCZ the nsSNP rs3763978 was associated with disease. The significance of both associations withstood conservative Bonferroni correction. In an attempt to link the polymorphisms to functional consequences, we performed an allele-specific in silico mapping of transcription factor binding sites around rs4500567 and predicted the tolerance of the Gly73Ala exchange caused by rs3763978. The results argue for a differential promoter activity specific for the variant associated with BPD, but impaired protein functionality in SCZ. This suggests that TSPAN8 contributes to both diseases, yet with different underlying mechanisms: regulatory versus structural. Similar phenomena might also occur in other risk genes for both BPD and SCZ, providing a molecular basis for the genetic overlap of both entities.

Predictors for wellbeing and characteristics of mental health after stroke.

BACKGROUND: Poor mental health after stroke is common and complex. We aimed to identify predictors of poor wellbeing and to examine the overlap of poor wellbeing, fatigue, and depression. METHOD: Consecutive first-ever ischemic stroke-patients filled in questionnaires on wellbeing, fatigue, and depression at baseline and at one and six months. The World Health Organization 5-Item Wellbeing-Index (WHO-5), the Major Depression Inventory, and the Multidimensional Fatigue Inventory were used. Patients were genotyped according to serotonin-transporter gene polymorphisms. Multivariable logistic regression was used to identify potential predictors of poor wellbeing (WHO-5 score <50). Overlap between wellbeing, fatigue, and depression was examined using an Euler diagram. RESULTS: We included 919 patients. The prevalence of poor wellbeing was 279 (30.4%) six months after stroke. Living alone at stroke onset was the strongest predictor of poor wellbeing with a mutually adjusted odds ratio of 1.53 (95% confidence interval (CI): 1.03 to 2.28) at one month and 1.77 (CI: 1.13 to 2.76) at six months. Severe stroke at admission also predicted poor wellbeing at six months. Abnormal fatigue occurred in half and incorporated almost all patients with poor wellbeing. Less than 5% fulfilled the criteria for depression at any point and almost all of these patients had poor wellbeing and abnormal fatigue. Antidepressants were used by 292 (31.8%) during follow-up. LIMITATIONS: Cognitive impairment was not measured and could interact with wellbeing post-stroke. CONCLUSION: Living alone strongly predicted poor wellbeing after stroke. Satisfactory mental health-recovery seems to require psychosocial interventions when indicated in combination with antidepressant treatment.

Classical Human Leukocyte Antigen Alleles and C4 Haplotypes Are Not Significantly Associated With Depression.

BACKGROUND: The prevalence of depression is higher in individuals with autoimmune diseases, but the mechanisms underlying the observed comorbidities are unknown. Shared genetic etiology is a plausible explanation for the overlap, and in this study we tested whether genetic variation in the major histocompatibility complex (MHC), which is associated with risk for autoimmune diseases, is also associated with risk for depression. METHODS: We fine-mapped the classical MHC (chr6: 29.6-33.1 Mb), imputing 216 human leukocyte antigen (HLA) alleles and 4 complement component 4 (C4) haplotypes in studies from the Psychiatric Genomics Consortium Major Depressive Disorder Working Group and the UK Biobank. The total sample size was 45,149 depression cases and 86,698 controls. We tested for association between depression status and imputed MHC variants, applying both a region-wide significance threshold (3.9 × 10-6) and a candidate threshold (1.6 × 10-4). RESULTS: No HLA alleles or C4 haplotypes were associated with depression at the region-wide threshold. HLA-B*08:01 was associated with modest protection for depression at the candidate threshold for testing in HLA genes in the meta-analysis (odds ratio = 0.98, 95% confidence interval = 0.97-0.99). CONCLUSIONS: We found no evidence that an increased risk for depression was conferred by HLA alleles, which play a major role in the genetic susceptibility to autoimmune diseases, or C4 haplotypes, which are strongly associated with schizophrenia. These results suggest that any HLA or C4 variants associated with depression either are rare or have very modest effect sizes.

A population-based association study of glutamate decarboxylase 1 as a candidate gene for autism.

Linkage studies, genome-wide scans and screening of possible candidate genes suggest that chromosome 2q31 may harbour one or more susceptibility genes for autism. The glutamate decarboxylase gene 1 (GAD1) located within chromosome 2q31 encodes the enzyme, GAD67, catalyzing the production of gamma-aminobutyric acid (GABA) from glutamate. Numerous independent findings have suggested the GABAergic system to be involved in autism. The present study investigates a Danish population-based, case-control sample of 444 subjects with childhood autism and 444 controls. Nine single nucleotide polymorphisms (SNPs) comprising the GAD1 gene and the microsatellite marker D2S2381 were examined for association with autism. We found no association between childhood autism and any single marker or 2-5 marker haplotypes. However, a rare nine-marker haplotype was associated with childhood autism. We cannot exclude neither GAD1 as a susceptibility gene nor the possibility of another susceptibility gene for autism to be located on chromosome 2q31.