Season of birth: schizophrenia and bipolar disorder

Seasonality of presentation and birth in catatonia

BACKGROUND

Catatonia is a neuropsychiatric syndrome associated with both psychiatric disorders and medical conditions. Understanding of the pathophysiology of catatonia remains limited, and the role of the environment is unclear. Although seasonal variations have been shown for many of the disorders underlying catatonia, the seasonality of this syndrome has not yet been adequately explored.

METHODS

Clinical records were screened to identify a cohort of patients suffering from catatonia and a control group of psychiatric inpatients, from 2007 to 2016 in South London. In a cohort study, the seasonality of presentation was explored fitting regression models with harmonic terms, while the effect of season of birth on subsequent development of catatonia was analyzed using regression models for count data. In a case-control study, the association between month of birth and catatonia was studied fitting logistic regression models.

RESULTS

In total, 955 patients suffering from catatonia and 23,409 controls were included. The number of catatonic episodes increased during winter, with a peak in February. Similarly, an increasing number of cases was observed during summer, with a second peak in August. However, no evidence for an association between month of birth and catatonia was found.

CONCLUSIONS

The presentation of catatonia showed seasonal variation in accordance with patterns described for many of the disorders underlying catatonia, such as mood disorders and infections. We found no evidence for an association between season of birth and risk of developing catatonia. This may imply that recent triggers may underpin catatonia, rather than distal events.

Schizo-Net: A novel Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Deep Learning on Electroencephalogram-Based Brain Connectivity Indices

Schizophrenia (SCZ) is a serious mental condition that causes hallucinations, delusions, and disordered thinking. Traditionally, SCZ diagnosis involves the subject's interview by a skilled psychiatrist. The process needs time and is bound to human errors and bias. Recently, brain connectivity indices have been used in a few pattern recognition methods to discriminate neuro-psychiatric patients from healthy subjects. The study presents $\textit {Schizo-Net}$ , a novel, highly accurate, and reliable SCZ diagnosis model based on a late multimodal fusion of estimated brain connectivity indices from EEG activity. First, the raw EEG activity is pre-processed exhaustively to remove unwanted artifacts. Next, six brain connectivity indices are estimated from the windowed EEG activity, and six different deep learning architectures (with varying neurons and hidden layers) are trained. The present study is the $\textit {first}$ which considers a large number of brain connectivity indices, especially for SCZ. A detailed study was also performed that identifies SCZ-related changes occurring in brain connectivity, and the vital significance of BCI is drawn in this regard to identify the biomarkers of the disease. $\textit {Schizo-Net}$ surpasses current models and achieves 99.84% accuracy. An optimum deep learning architecture selection is also performed for improved classification. The study also establishes that Late fusion technique outperforms single architecture-based prediction in diagnosing SCZ.

Single-Nuclei RNA Sequencing of 5 Regions of the Human Prenatal Brain Implicates Developing Neuron Populations in Genetic Risk for Schizophrenia

BACKGROUND

While a variety of evidence supports a prenatal component in schizophrenia, there are few data regarding the cell populations involved. We sought to identify cells of the human prenatal brain mediating genetic risk for schizophrenia by integrating cell-specific gene expression measures generated through single-nuclei RNA sequencing with recent large-scale genome-wide association study (GWAS) and exome sequencing data for the condition.

METHODS

Single-nuclei RNA sequencing was performed on 5 brain regions (frontal cortex, ganglionic eminence, hippocampus, thalamus, and cerebellum) from 3 fetuses from the second trimester of gestation. Enrichment of schizophrenia common variant genetic liability and rare damaging coding variation was assessed in relation to gene expression specificity within each identified cell population.

RESULTS

Common risk variants were prominently enriched within genes with high expression specificity for developing neuron populations within the frontal cortex, ganglionic eminence, and hippocampus. Enrichments were largely independent of genes expressed in neuronal populations of the adult brain that have been implicated in schizophrenia through the same methods. Genes containing an excess of rare damaging variants in schizophrenia had higher expression specificity for developing glutamatergic neurons of the frontal cortex and hippocampus that were also enriched for common variant liability.

CONCLUSIONS

We found evidence for a distinct contribution of prenatal neuronal development to genetic risk for schizophrenia, involving specific populations of developing neurons within the second-trimester fetal brain. Our study significantly advances the understanding of the neurodevelopmental origins of schizophrenia and provides a resource with which to investigate the prenatal antecedents of other psychiatric and neurologic disorders.

Prenatal ambient temperature and risk for schizophrenia

OBJECTIVE

We conducted a systematic review of the published literature to test the hypothesis that maternal exposure to extremes of ambient temperatures during pregnancy is associated with the risk for psychiatric disorders or congenital malformations in offspring, both of which are indicative of perturbations of fetal neurodevelopment.

METHOD

This study was conducted in accordance with the recommendations outlined in the Meta-analysis of Observational Studies in Epidemiology (MOOSE) reporting proposal. Electronic databases (Ovid MEDLINE, Ovid Embase, Ovid PsycINFO, Ovid Global Health, Web of Science, and Cochrane Library) were searched. Four independent reviewers selected studies with the following criteria: (1) prenatal maternal ambient temperature exposure; (2) outcome of offspring psychiatric disorder or congenital defects; (3) empirical study; (4) full-length article, no conference presentations or abstracts.

RESULTS

Twenty-two studies met criteria and one was added from a reference list (n = 23). Of these, schizophrenia (n = 5), anorexia nervosa (n = 3) and congenital cardiovascular malformations (n = 6) studies were the most common. Each of these categories showed some evidence of association with an early pregnancy maternal ambient heat exposure effect, with other evidence for a late pregnancy cold effect.

CONCLUSION

Some evidence supports a role for early pregnancy maternal exposure to extreme ambient heat in the development of psychiatric disorders, but large-scale, prospective cohort data on individual births is essential. Optimal studies will be conducted in seasonally variable climates, accounting for actual maternal residence over the pregnancy and at parturition, local environmental temperature records, and appropriate covariates, similar to studies identified by this systematic review for congenital malformations.

Being Born in Winter-Spring and at Around the Time of an Influenza Pandemic Are Risk Factors for the Development of Schizophrenia: The Apna Study in Navarre, Spain

Background: We analyzed the relationship between the prevalence of schizophrenia and the season of birth and gestation during a period of an influenza pandemic. Methods: Cross-sectional analysis of a prospective population-based cohort of 470,942 adults. We fitted multivariant logistic regression models to determine whether the season of birth and birth in an influenza-pandemic year (1957, 1968, 1977) was associated with schizophrenia. Results: 2077 subjects had been diagnosed with schizophrenia. Logistic regression identified a significantly greater prevalence of schizophrenia in men than in women (OR = 1.516, CI 95% = 1.388–1.665); in those born in the winter or spring than in those born in the summer or autumn (OR = 1.112, CI 95% = 1.020–1.212); and in those born in a period of an influenza pandemic (OR = 1.335, CI 95% = 1.199–1.486). The increase in risk was also significant when each influenza pandemic year was analyzed separately. However, neither month of birth nor season of birth, when each of the four were studied individually, were associated with a statistically significant increase in that risk. Conclusions: The winter–spring period and the influenza pandemics are independent risk factors for developing schizophrenia. This study contradicts many previous studies and thus revitalizes a locked debate in understanding the neurodevelopmental hypothesis of this disorder.

Psychiatrie et épidémiologie

L’épidémiologie psychiatrique s’est beaucoup développée depuis trente ans. Après avoir rappelé les définitions et méthodes fondamentales en épidémiologie, nous décrivons des progrès accomplis en épidémiologie psychiatrique. Parmi eux, la définition des cas, les techniques d’identification des cas, et la recherche de facteurs de risque sont présentés ici. Pour les illustrer, certaines connaissances actuelles sur les facteurs de risque dans la schizophrénie et la dépression sont brièvement décrits. Ensuite, les travaux en psychiatrie de l’enfant sont brièvement présentés en insistant sur quelques difficultés spécifiques à la recherche en pédopsychiatrie. Finalement, après avoir fait le point de la situation française, quelques opinions communes qui freinent l’essor de la recherche épidémiologique sont passées en revue. Les conclusions soulignent la possibilité et la nécessité de développer cette approche multi-disciplinaire en psychiatrie.

Seasonal distribution of births in patients with Alzheimer’s disease and elderly depressive patients

Winter births have been associated with a higher risk of Alzheimer’s disease (AD) and other psychiatric disorders. In the present investigation, this putative association was examined in a sample of gerontopsychiatric patients. An analysis of the quarterly birth rates of 83 patients with AD, 78 elderly depressive patients with an early onset and 74 patients with a late onset of the depressive disorder, 48 patients with both AD and depression (co-morbid patients) and 107 healthy control subjects, revealed no particular seasonal distribution for any of the diagnostic groups. In AD and co-morbid patients, controlling for the ApoE genotype did not change this finding. Logistic regression analysis revealed the expected findings that increasing age and the presence of the ApoE4 allele were associated with a higher risk of dementia. Younger age and female gender were identified as risk factors for a depressive disorder. A winter birth (birth in the first three months of the year) was not associated with any of the diagnostic subgroups.

We concluded that in our sample a seasonal distribution of births was not found to increase the risk for AD or geriatric depression.

Seasonality of births in affective disorder in an Irish population

Seasonal variation in the births of patients with schizophrenia is a consistently replicated epidemiological finding. Few studies have investigated this phenomenon among patients with a diagnosis of affective disorder. The majority of season of birth studies have employed the chi square test for statistical analysis, a method that has been subject to some criticism. Using a Kolgomorov-Smirnov type statistic, the quarterly birth distribution of 6,646 patients with an ICD 9/10 diagnosis of affective disorder were compared to the general population. Only the births of those individuals with unipolar forms of affective disorder (n = 4,393) differed significantly from the general population, with significant excesses and deficits in the second quarter and fourth quarter respectively. These results were not altered by application of the displacement test. © 1998 Elsevier, Paris

Analysis of the seasonal variation of schizophrenic births using a Kolmogorov-Smirnov type statistic

Previous studies have shown that schizophrenic patients are more likely to be born in winter or early spring months than the general population. Data on 4,207 patients with a hospital diagnosis of schizophrenia were obtained from a mailed survey to public departments of adult psychiatry in metropolitan France. For each year from 1900 to 1965, the expected monthly number of schizophrenic births was calculated and any seasonal variation of live births in the general population was taken into account. Cumulative distributions of the observed and expected number of schizophrenic births were compared using a Kolmogorov-Smirnov type statistic. The seasonal distribution of schizophrenic births was significantly different from that of the general population (P < 0.01). An excess of schizophrenic births was found in the first half of the year, with a peak in April (+ 13%).

Polygenic risk for schizophrenia and season of birth within the UK Biobank cohort

BACKGROUND

There is strong evidence that people born in winter and in spring have a small increased risk of schizophrenia. As this 'season of birth' effect underpins some of the most influential hypotheses concerning potentially modifiable risk exposures, it is important to exclude other possible explanations for the phenomenon.

METHODS

Here we sought to determine whether the season of birth effect reflects gene-environment confounding rather than a pathogenic process indexing environmental exposure. We directly measured, in 136 538 participants from the UK Biobank (UKBB), the burdens of common schizophrenia risk alleles and of copy number variants known to increase the risk for the disorder, and tested whether these were correlated with a season of birth.

RESULTS

Neither genetic measure was associated with season or month of birth within the UKBB sample.

CONCLUSIONS

As our study was highly powered to detect small effects, we conclude that the season of birth effect in schizophrenia reflects a true pathogenic effect of environmental exposure.

Season of birth: A predictor of ADHD symptoms in early midlife

OBJECTIVE

In this longitudinal study, we applied linear regression analyses to examine season of birth as related to symptoms of attention deficit/hyperactivity disorder (ADHD) in early midlife.

METHOD

We gathered longitudinal data on a prospective cohort of community-dwelling men and women (N = 548) followed from adolescence to early midlife.

FINDINGS

The findings indicate that, as compared with participants who were born in the summer, those who were born in the spring (Beta = 0.34; t-statistic = 3.59; p < 0.001) had significantly more ADHD symptoms. In addition, exposure to maternal cigarette smoking in adolescence significantly intensified (p < 0.01) the association between season of birth and ADHD symptoms in early midlife.

CONCLUSION

These findings suggest that exposure to greater maternal maladaptive behaviors, such as cigarette smoking, may result in a greater vulnerability to other environmental risk factors, such as season of birth.

Sensorimotor gating deficits in "two-hit" models of schizophrenia risk factors

Genetic and environmental models of neuropsychiatric disease have grown exponentially over the last 20years. One measure that is often used to evaluate the translational relevance of these models to human neuropsychiatric disease is prepulse inhibition of startle (PPI), an operational measure of sensorimotor gating. Deficient PPI characterizes several neuropsychiatric disorders but has been most extensively studied in schizophrenia. It has become a useful tool in translational neuropharmacological and molecular genetics studies because it can be measured across species using almost the same experimental parameters. Although initial studies of PPI in rodents were pharmacological because of the robust predictive validity of PPI for antipsychotic efficacy, more recently, PPI has become standard common behavioral measures used in genetic and neurodevelopmental models of schizophrenia. Here we review "two hit" models of schizophrenia and discuss the utility of PPI as a tool in phenotyping these models of relevant risk factors. In the review, we consider approaches to rodent models of genetic and neurodevelopmental risk factors and selectively review "two hit" models of gene×environment and environment×environment interactions in which PPI has been measured.

The association between season of birth, age at onset, and clozapine use in schizophrenia

OBJECTIVE

This study aimed to determine whether the rate of clozapine use, an indicator of refractoriness in schizophrenia, is associated with the season of birth and age at onset in patients with schizophrenia based on nationwide data.

METHODS

Patients with schizophrenia (n = 114 749) who received prescriptions for antipsychotic medication between 2008 and 2014 were retrospectively identified from the Korean National Health Insurance Service database. The study population was divided into three groups based on their age at the onset of schizophrenia (early, middle, and late onset). We assessed differences in the month of birth between patients and the general population. In addition, the cumulative clozapine use was calculated.

RESULTS

Compared to the late-onset schizophrenia group, the early- and middle-onset groups showed a higher probability of birth during the winter season. In addition, the early-onset group showed the highest cumulative clozapine use rate. In the middle-onset group, the initiation of clozapine use was significantly earlier for patients born in winter compared to those born in summer.

CONCLUSION

Our results indicate that the age at onset is an important factor in predicting the prognosis of schizophrenia patients. The season of birth also affects the prognosis, but with less robustness. Specifically, it appears that early disease onset and winter birth might be associated with poor outcomes in Korean patients with schizophrenia.

Type specific Real time PCR for detection of human herpes virus 6 in schizophrenia and bipolar patients: a case control study

BACKGROUND

Schizophrenia (SC) and bipolar disorder (BD) are among the most devastating diseases worldwide. There are several lines of evidence suggesting that viruses may play significant roles in the etiology of these mental disorders. The aim of this study was the detection of HHV-6A/B in the peripheral blood mononuclear cells (PBMC) of SC and BD patients versus the healthy control (HC) subjects using a new method of type-specific Real time PCR analysis.

METHODS

A type-specific Real time PCR was performed for simultaneous detection and typing of HHV-6A/B in the PBMCs of 120 SC and BD patients and 75 HCs.

RESULTS

Only one case of HHV-6B out of 120 (0.8 %) SC and BD patients and two cases of HHV-6A (2.7 %) in 75 HCs were detected.

CONCLUSIONS

The low levels of HHV-6 detection in PBMCs, severely limited the capacity of this study to investigate the association between the presence of HHV-6 and BD or SC in this population, thus no conclusions can be drawn in this regard. Meanwhile this study introduces a Real time PCR based method for type specific detection of HHV-6A/B in clinical samples.

Role of C-reactive protein in schizophrenia: an overview

Over the years, schizophrenia is speculated to be associated with immune or inflammatory reactions mediated by cytokines. It is proposed that chronic inflammation might damage the micro-vascular system of brain and hamper cerebral blood flow. Scientific evidence suggests that an increase of stress hormone like norepinephrine may activate the inflammatory arm of the immune system and trigger the expression of genes that cause chronic, low-grade inflammation. Thus, studies were conducted to decipher the potentiality of CRP as a marker for inflammation in schizophrenia. This article reviews the findings of CRP in schizophrenia, and the limitations of the previous studies have been discussed. The importance of simultaneous study of CRP modulating cytokines and CRP gene polymorphism in the study of serum or plasma level of CRP has been emphasized.

Serological documentation of maternal influenza exposure and bipolar disorder in adult offspring

OBJECTIVE

The authors examined whether serologically confirmed maternal exposure to influenza was associated with an increased risk of bipolar disorder in the offspring and with subtypes of bipolar disorder, with and without psychotic features.

METHOD

The study used a nested case-control design in the Child Health and Development Study birth cohort. In all, 85 individuals with bipolar disorder were identified following extensive ascertainment and diagnostic assessment and matched to 170 comparison subjects in the analysis. Serological documentation of maternal exposure to influenza was determined using the hemagglutination inhibition assay.

RESULTS

No association was observed between serologically documented maternal exposure to influenza and bipolar disorder in offspring. However, maternal serological influenza exposure was related to a significant fivefold greater risk of bipolar disorder with psychotic features.

CONCLUSIONS

The results suggest that maternal influenza exposure may increase the risk for offspring to develop bipolar disorder with psychotic features. Taken together with earlier associations between prenatal influenza exposure and schizophrenia, these results may suggest that prenatal influenza is a risk factor for psychosis rather than for a specific psychotic disorder diagnosis.

No link between date of birth and ADHD symptoms in adults

OBJECTIVE

Research has highlighted several negative consequences for individuals born in the later part of the academic year, including increased likelihood of being diagnosed with learning disabilities. In this study, we considered whether birthdate predicted ADHD symptomatology using two well known mechanisms, the relative age effect (RAE) and the season of birth effect (SOBE).

METHODS

Study participants completed two ADHD measures: Conners Adult ADHD Rating Scales (CAARS) and the Wender Utah Rating Scale (WURS).

RESULTS

There were gender effects in the WURS data indicating that males scored higher than females on ADHD symptoms as well as a significant interaction in the CAARS data to support differential patterns among males and females.

CONCLUSION

Overall, results did not support a RAE or SOBE among males or females. Possible reasons for these findings and their implications are discussed.

Alterations of white matter integrity related to the season of birth in schizophrenia: a DTI study

In schizophrenia there is a consistent epidemiological finding of a birth excess in winter and spring. Season of birth is thought to act as a proxy indicator for harmful environmental factors during foetal maturation. There is evidence that prenatal exposure to harmful environmental factors may trigger pathologic processes in the neurodevelopment, which subsequently increase the risk of schizophrenia. Since brain white matter alterations have repeatedly been found in schizophrenia, the objective of this study was to investigate whether white matter integrity was related to the season of birth in patients with schizophrenia. Thirty-four patients with schizophrenia and 33 healthy controls underwent diffusion tensor imaging. Differences in the fractional anisotropy maps of schizophrenia patients and healthy controls born in different seasons were analysed with tract-based spatial statistics. A significant main effect of season of birth and an interaction of group and season of birth showed that patients born in summer had significantly lower fractional anisotropy in widespread white matter regions than those born in the remainder of the year. Additionally, later age of schizophrenia onset was found in patients born in winter months. The current findings indicate a relationship of season of birth and white matter alterations in schizophrenia and consequently support the neurodevelopmental hypothesis of early pathological mechanisms in schizophrenia.

Birth seasonality in schizophrenia: effects of gender and income status

AIMS

The aim of this study was to examine the correlations of birth seasonality in schizophrenia, considering influences of gender and income status.

METHODS

The sample consisted of 1 000 000 people in the general population randomly selected from the Taiwan National Health Insurance Research Database. Data for the birth-year period 1950-1989 were extracted for analysis (n = 631 911; 306 194 male, 325 717 female). Subjects with schizophrenia (2796 male, 2251 female) were compared with the general population. Subgroups divided by birth-year periods (10-year interval), gender, and income status (low, medium, high) were analyzed using both the Walter and Elwood seasonality and chi-squared tests.

RESULTS

The winter/spring birth excess in schizophrenia was 5.3% when compared with the general population. There was a statistically significant excess in winter/spring births than summer/autumn births inschizophrenia patients (relative risk [RR], 1.12; 95% confidence interval [CI]: 1.06-1.18). This winter/spring birth excess in schizophrenia was observed only in female subjects (RR, 1.20; 95%CI: 1.10-1.30), not in male subjects (RR, 1.03; 95%CI: 0.98-1.14), in all subgroups of income status, but was most pronounced in the low income subgroup (RR, 1.20, 1.09, 1.13; 95% CI: 1.05-1.37, 1.01-1.17, 1.02-1.25 for low, medium, and high income status, respectively).

CONCLUSION

A gender difference with female predominance of the effect of birth seasonality in schizophrenia, and a more pronounced effect in low income status were noted.

Viral infection, inflammation and schizophrenia

Schizophrenia is a severe neurodevelopmental disorder with genetic and environmental etiologies. Prenatal viral/bacterial infections and inflammation play major roles in the genesis of schizophrenia. In this review, we describe a viral model of schizophrenia tested in mice whereby the offspring of mice prenatally infected with influenza at E7, E9, E16, and E18 show significant gene, protein, and brain structural abnormalities postnatally. Similarly, we describe data on rodents exposed to bacterial infection or injected with a synthetic viral mimic (PolyI:C) also demonstrating brain structural and behavioral abnormalities. Moreover, human serologic data has been indispensible in supporting the viral theory of schizophrenia. Individuals born seropositive for bacterial and viral agents are at a significantly elevated risk of developing schizophrenia. While the specific mechanisms of prenatal viral/bacterial infections and brain disorder are unclear, recent findings suggest that the maternal inflammatory response may be associated with fetal brain injury. Preventive and therapeutic treatment options are also proposed. This review presents data related to epidemiology, human serology, and experimental animal models which support the viral model of schizophrenia.

Season of birth is associated with adult body mass index in patients with bipolar disorder

Cardiovascular risk factors, such as abdominal obesity and obesity in general, are very prevalent among patients with bipolar disorder (BD). Although long-term use of psychotropic medications is an important determinant of these risk factors, other evidence suggests that early development may interact with the mood disorder diathesis to exponentially increase the risk of obesity. The goal of our study was to test whether season of birth is associated with adult body mass index (BMI) and abdominal obesity in individuals with bipolar disorder. We compared season of birth effects on BMI in 375 adult patients with bipolar disorder and 196 adult patients with unipolar major depression. We found a significant season of birth effect on BMI in patients with bipolar disorder, but not unipolar. In patients with bipolar disorder, season of birth was also associated with waist circumference, with a stronger effect in males. Season of birth affects adult BMI and waist circumference in patients with bipolar disorder, but not in patients with unipolar depression. Our results suggest that early environmental factors, yet to be identified, interact with specific neurobiological features of bipolar disorder to determine stable traits and disease risk factors in adult life.

Early risk factors in schizophrenia: place and season of birth

First admission psychiatric patients born in England and Wales between 1938 and 1963, and discharged from hospitals in England and Wales between 1976 and 1986, were examined. Using logistic regression, we tested the hypothesis that the risk of shizophrenia varies by place, and season of birth. Persons born in city areas showed a 12% greater risk of schizophrenia (odds ratio 1.12; 95% confidence interval 1.06 to 1.19) than those born in non-city areas, when compared with other psychiatric patients. The increase in risk was particularly high for individuals born in city areas in winter (21%, ie odds ratio 1.21 and confidence interval 1.08 to 1.36). These findings suggest that the factor(s) responsible for the season-of-birth effect preferentially affects city born schizophrenics.

Female gender but not season of birth is associated with mood seasonality in a near-equatorial Brazilian city

OBJECTIVE: Studies conducted mainly in countries located in the Northern Hemisphere have shown that season of birth influences mood seasonality. Greater mood seasonality has been observed for individuals born during spring/summer months than those born during autumn/winter months. Expanding past research to the Southern Hemisphere, in this study we examine the influence of season of birth on mood seasonality in a sample of 1,247 healthy young Brazilians. METHOD: The Seasonal Pattern Assessment Questionnaire was used to compute a global seasonality score as a measure of mood seasonality in a cross-sectional study. RESULTS: Analysis of covariance was conducted to examine the effects of month of birth and gender on mood seasonality, with age entered as a covariate. A main effect of gender was observed, F (1, 1197) = 17.86, p < .01; partial Eta-squared = .02, with mood seasonality being higher for females (M = 8) than for males (M = 7). Contradicting previous findings, no significant main effect for month of birth was observed, F (1, 1197) = 0.65, p > .05. CONCLUSION: The unexpected finding is tentatively explained by differences in geographic location and weather fluctuations between the sampling location in Brazil and other countries where season of birth has been found to influence mood seasonality. Additional studies with larger samples from the Southern Hemisphere are necessary to shed additional light on the possible significant influence of season of birth on mood.

The viral theory of schizophrenia revisited: abnormal placental gene expression and structural changes with lack of evidence for H1N1 viral presence in placentae of infected mice or brains of exposed offspring

Researchers have long noted an excess of patients with schizophrenia were born during the months of January and March. This winter birth effect has been hypothesized to result either from various causes such as vitamin D deficiency (McGrath, 1999; McGrath et al., 2010), or from maternal infection during pregnancy. Infection with a number of viruses during pregnancy including influenza, and rubella are known to increase the risk of schizophrenia in the offspring (Brown, 2006). Animal models using influenza virus or Poly I:C, a viral mimic, have been able to replicate many of the brain morphological, genetic, and behavioral deficits of schizophrenia (Meyer et al., 2006, 2008a, 2009; Bitanihirwe et al., 2010; Meyer and Feldon, 2010; Short et al., 2010). Using a murine model of prenatal viral infection, our laboratory has shown that viral infection on embryonic days 9, 16, and 18 leads to abnormal expression of brain genes and brain structural abnormalities in the exposed offspring (Fatemi et al., 2005, 2008a,b, 2009a,b). The purpose of the current study was to examine gene expression and morphological changes in the placenta, hippocampus, and prefrontal cortex as a result of viral infection on embryonic day 7 of pregnancy. Pregnant mice were either infected with influenza virus [A/WSN/33 strain (H1N1)] or sham-infected with vehicle solution. At E16, placentas were harvested and prepared for either microarray analysis or for light microscopy. We observed significant, upregulation of 77 genes and significant downregulation of 93 genes in placentas. In brains of exposed offspring following E7 infection, there were changes in gene expression in prefrontal cortex (6 upregulated and 24 downregulated at P0; 5 upregulated and 14 downregulated at P56) and hippocampus (4 upregulated and 6 downregulated at P0; 6 upregulated and 13 downregulated at P56). QRT-PCR verified the direction and magnitude of change for a number of genes associated with hypoxia, inflammation, schizophrenia, and autism. Placentas from infected mice showed a number of morphological abnormalities including presence of thrombi and increased presence of immune cells. Additionally, we searched for presence of H1N1 viral-specific genes for M1/M2, NA, and NS1 in placentas of infected mice and brains of exposed offspring and found none. Our results demonstrate that prenatal viral infection disrupts structure and gene expression of the placenta, hippocampus, and prefrontal cortex potentially explaining deleterious effects in the exposed offspring without evidence for presence of viral RNAs in the target tissues.

Animal models of virus-induced neurobehavioral sequelae: recent advances, methodological issues, and future prospects

Converging lines of clinical and epidemiological evidence suggest that viral infections in early developmental stages may be a causal factor in neuropsychiatric disorders such as schizophrenia, bipolar disorder, and autism-spectrum disorders. This etiological link, however, remains controversial in view of the lack of consistent and reproducible associations between viruses and mental illness. Animal models of virus-induced neurobehavioral disturbances afford powerful tools to test etiological hypotheses and explore pathophysiological mechanisms. Prenatal or neonatal inoculations of neurotropic agents (such as herpes-, influenza-, and retroviruses) in rodents result in a broad spectrum of long-term alterations reminiscent of psychiatric abnormalities. Nevertheless, the complexity of these sequelae often poses methodological and interpretational challenges and thwarts their characterization. The recent conceptual advancements in psychiatric nosology and behavioral science may help determine new heuristic criteria to enhance the translational value of these models. A particularly critical issue is the identification of intermediate phenotypes, defined as quantifiable factors representing single neurochemical, neuropsychological, or neuroanatomical aspects of a diagnostic category. In this paper, we examine how the employment of these novel concepts may lead to new methodological refinements in the study of virus-induced neurobehavioral sequelae through animal models.

Models of neurodevelopmental abnormalities in schizophrenia

The neurodevelopmental hypothesis of schizophrenia asserts that the underlying pathology of schizophrenia has its roots in brain development and that these brain abnormalities do not manifest themselves until adolescence or early adulthood. Animal models based on developmental manipulations have provided insight into the vulnerability of the developing fetus and the importance of the early environment for normal maturation. These models have provided a wide range of validated approaches to answer questions regarding environmental influences on both neural and behavioral development. In an effort to better understand the developmental hypothesis of schizophrenia, animal models have been developed, which seek to model the etiology and/or the pathophysiology of schizophrenia or specific behaviors associated with the disease. Developmental models specific to schizophrenia have focused on epidemiological risk factors (e.g., prenatal viral insult, birth complications) or more heuristic models aimed at understanding the developmental neuropathology of the disease (e.g., ventral hippocampal lesions). The combined approach of behavioral and neuroanatomical evaluation of these models strengthens their utility in improving our understanding of the pathophysiology of schizophrenia and developing new treatment strategies.

Potential microbial origins of schizophrenia and their treatments

Schizophrenia is a severe brain disease that affects approximately 1% of the world's population. Extensive study into the indication of and causes of this disease has been ongoing for decades. Historical review of research into associated abnormalities and markers common in schizophrenic patients has demonstrated a correlation with potential microbial origins in the development of the disease. While infectious etiologies could be responsible for some cases of schizophrenia, no consistent use of anti-infective agents has been developed for its prevention or treatment. Elucidation of the mechanisms for infectious roots of schizophrenia may open new avenues for effective treatment.

The neurodevelopmental hypothesis of schizophrenia, revisited

While multiple theories have been put forth regarding the origin of schizophrenia, by far the vast majority of evidence points to the neurodevelopmental model in which developmental insults as early as late first or early second trimester lead to the activation of pathologic neural circuits during adolescence or young adulthood leading to the emergence of positive or negative symptoms. In this report, we examine the evidence from brain pathology (enlargement of the cerebroventricular system, changes in gray and white matters, and abnormal laminar organization), genetics (changes in the normal expression of proteins that are involved in early migration of neurons and glia, cell proliferation, axonal outgrowth, synaptogenesis, and apoptosis), environmental factors (increased frequency of obstetric complications and increased rates of schizophrenic births due to prenatal viral or bacterial infections), and gene-environmental interactions (a disproportionate number of schizophrenia candidate genes are regulated by hypoxia, microdeletions and microduplications, the overrepresentation of pathogen-related genes among schizophrenia candidate genes) in support of the neurodevelopmental model. We relate the neurodevelopmental model to a number of findings about schizophrenia. Finally, we also examine alternate explanations of the origin of schizophrenia including the neurodegenerative model.

Seasonal variation of nutrient intake in pregnancy: effects on infant measures and possible influence on diseases related to season of birth

OBJECTIVES

To determine, firstly, if there was any seasonal effect on nutrient intake during pregnancy and birth measures, secondly, if there was any relationship between maternal nutrient intake and infant birth measures according to season and thirdly, to consider the hypothesis that seasonal change in nutrient intake during pregnancy might affect health in later life of some women's offspring.

DESIGN

Pilot study to determine number of days required to characterize group intake followed by a prospective cohort study.

SETTING

Patients attending a city ante-natal clinic in the lower North Island, New Zealand.

SUBJECTS

A total of 214 healthy mostly European pregnant women volunteers, entering the second trimester of pregnancy, of whom 10 miscarried and seven withdrew.

METHODS

Subjects were visited in months 4 and 7 of pregnancy, and months 2, 6 and 12 after birth. Height, weight and skinfolds were measured and questionnaires to determine personal details administered at these times. Subjects recorded 8 days of weighed diets in both the fourth and seventh month. Health records were used to supply infant measures.

RESULTS

Significant (P</=0.05) seasonal variations in fat, carbohydrate, vitamin C and D, B vitamins, beta-carotene, sodium, potassium, calcium, phosphorous, sulfur, sodium, chloride, zinc and selenium intakes were found. No significant 'main effect' difference in gestational age, infant birthweight, and head circumference was found with season. However, there were significant interactions (P</=0.05) for each birth season between birth measures and specific maternal nutrients at months 4 and 7 of pregnancy.

CONCLUSION

The significant seasonal variations in nutrient intake in pregnant women, and significant influence of nutrient intake on birth measures in different seasons, suggests seasonal nutrient variation may also affect fetal development at a cellular level. This supports our hypothesis that the development of conditions related to season of birth, including schizophrenia, multiple sclerosis, type I diabetes and longevity, may be influenced by seasonal variation in nutrient intake during pregnancy.

Chronomics of autism and suicide

We examine whether autism may be influenced by non-photic environmental factors, among others, in a California database consisting of the number of cases added quarterly to the system between 1993 and 2004. Instead of a precise calendar (1.0)-year-long spectral component, we detect unseen primarily helio- and geomagnetic signatures, including a newly discovered near-transyear of 1.09-year length. In this case, it overrides any undetected seasonal effects, the topic of much previous unrewarding research, also analyzed herein without overcoming the limitation by stacking. Since we could not get additional data on autism, data on suicides, the final "detachment" and failure to bond, were also analyzed, again revealing a spectrum of non-photic signatures. What we do not see and do not anticipate can exist and can override the seasons, as resolved time-microscopically by chronomics, the study of chronomes (time structures). Just as spatial microscopy and electron microscopy resolved infectious agents, so does microscopy in time resolve the signature of environmental agents in human behavior in health and disease.

Boundaries of schizophrenia

The frontiers of schizophrenia are being increasingly challenged from several directions. In addition to ongoing debate as to divisions between schizophrenia and disorders of the schizophrenic spectrum, including schizotypal personality disorder and schizophreniform disorder, it has been suggested that obsessive-compulsive disorder might overlap phenomenologically with schizophrenia. There has been a long debate around the relationship of schizophrenia to affective disorders, particularly bipolar and schizoaffective disorder. The evidence suggests that although schizotypal personality and schizophreniform disorders are not homogeneous syndromes, they are related to or represent milder forms of schizophrenia. Obsessive-compulsive disorder seems to involve pathology in many of the same regions as observed in some patients with schizophrenia, which may account for the significant incidence of obsessive-compulsive symptoms in a subset of patients with schizophrenia. Despite similarities between schizophrenia and bipolar disorder, significant differences extend across suggested causes, phenomenology, and pathophysiology. These findings support the current conceptualization that the two disorders represent distinct disorders, probably with heterogeneous causes, rather than the ends of a spectrum of symptoms comprising a single syndrome. Schizoaffective disorder likely is made up of patients from the schizophrenic and bipolar cluster of illnesses. The long-standing debate as to the boundaries of schizophrenia is ultimately must await the eventual further elaboration of the underlying causes of schizophrenia and other psychotic disorders.

Clinical characteristics and risk factors for Kraepelinian subtype of schizophrenia: replication of previous findings and relation to summer birth

The aims of the study were: (1) to replicate findings that patients with Kraepelinian schizophrenia constitute a distinct subgroup and (2) to examine the relationship between season of birth and the Kraepelinian subtype. Thirty-one Kraepelinian patients, defined on the basis of a longitudinal criterion--at least 5 years of continuous and complete dependence on others to maintain the basic necessities of life, including food, clothing and shelter--were compared with 279 non-Kraepelinian schizophrenic patients. All patients met ICD-10 criteria for schizophrenia and were evaluated with the Positive and Negative Syndrome Scale. Kraepelinian schizophrenic patients had more negative symptoms and were more disorganized than non-Kraepelinian patients. Positive and anxious-depressive symptoms did not differ between the two groups. Among Kraepelinian patients, there was an excess number of births in the month of July. These findings are consistent with previous reports that Kraepelinian patients could have a disease with an etiopathophysiology separate from that of other schizophrenic patients.

Summer birth and deficit schizophrenia: Cantabria, Spain

An association between deficit schizophrenia and summer birth has previously been reported. The authors attempted to replicate this association in a population-based study of incident cases of psychosis in the autonomous region of Cantabria, in northern Spain. Schizophrenia patients were categorized into deficit (N = 22) and nondeficit (N = 55) groups, and the pattern in the two groups was compared. After accounting for the variance due to disorganization, hallucinations and delusions, and demographic variables, deficit schizophrenia had a significant association with summer birth; this association did not depend on a single definition of summer. For instance, among the deficit patients, 59% were born from May to August, in contrast to 18% of nondeficit patients and 34% of the general population. These results confirm the association between summer birth in the Northern Hemisphere and deficit as opposed to nondeficit schizophrenia. The existence of a different risk factor for the two groups suggests a difference in etiology and pathophysiology.

A conformational epitope which detects autoantibodies from schizophrenic patients

We previously found autoantibodies against platelets in schizophrenic patients. One of the platelet proteins that bind these antibodies is enolase. Here, we describe the isolation and sequencing of an immunoreactive peptide after enzymatic digestion of enolase. The 3-D structure of enolase indicates that, unexpectedly, this peptide is buried inside the protein. However, 3-D surface analysis leads to the identification of a conformational epitope that resembles the binding peptide and might constitute a specific binder of the autoantibodies. In a screening of antibody binding with the peptide LVVGLCK, we found in 50 serum samples of controls a mean of O.D.=0.46; s= +/- 0.21 relative enzyme immunoassay units, while in sera of 39 schizophrenic patients, we found a mean of O.D.=1.47; s= +/- 0.65; P<0.0001. Furthermore, an inverse correlation was observed between duration of schizophrenia and the level of the detected autoantibodies. A screening of autoantibodies in sera of various mental disorders with this peptide is currently in progress.

Season of birth, gender and negative symptoms in schizophrenia

The aim of this study was to ascertain whether the symptom profile distinguishes between schizophrenic patients born in the winter and early spring and those born in other seasons. The sample consisted of 204 patients with a DSM-III-R diagnosis of schizophrenia who had been hospitalized for acute psychotic decompensation. Symptom ratings were based on the Positive and Negative Syndrome Scale (PANSS). The use of demographic and anamnestic data as dependent variables did not detect any season-of-birth effect. In contrast, clear gender-specific differences emerged from the comparison focusing on symptom dimensions and clinical subtype. Female patients born in the winter and early spring had higher scores on the PANSS negative scale and anergia factor whereas male patients born in other seasons had higher scores on the PANSS anergia factor. In addition, we found a gender-specific association between season of birth and clinical subtype. Most paranoid female patients were born in the non-winter months whereas, among men, a slightly higher percentage of paranoid patients were born in winter months. These results suggest that gender plays a role in modulating the effect of the season of birth on symptoms of schizophrenia.

Summer birth and deficit schizophrenia in Nithsdale, Scotland

Patients with deficit schizophrenia differ from other people with schizophrenia relative to course of illness, treatment response, and neurobiological correlates. An association between deficit schizophrenia and summer birth, in contrast to the winter birth risk factor associated with schizophrenia as a whole, has also been reported. We attempted to replicate the association between summer birth and deficit schizophrenia by using data from a prevalence survey in Nithsdale in southwest Scotland, in which all patients with schizophrenia in Nithsdale were identified and 87% were interviewed directly. Deficit schizophrenia was associated with summer birth, defined as birth in June/July/August (p < .02), June/July (p < .02), or July/August (p < .03). The association with summer birth is consistent with other evidence that patients with deficit schizophrenia have a pathophysiology that differs in some ways from that of other patients with schizophrenia.

Summer birth and deficit schizophrenia in the epidemiological catchment area study

Winter birth is a widely replicated risk factor for schizophrenia. However, previous studies have suggested that patients with the deficit syndrome of schizophrenia have an excess of summer births. We tested the summer birth effect in a population-based study. Data came from the Epidemiological Catchment Area study, which had a representative sample of the U.S. population. Psychotic patients with features of the deficit syndrome had a significant association with summer birth, compared with the general population. There was also a significant association between summer birth and the deficit syndrome within the psychotic population, after accounting for the variance due to disorganization, hallucinations and delusions, and demographic characteristics. These findings add to the evidence suggesting the etiopathophysiology of the deficit group differs from that found in other patients with schizophrenia.

Schizophrenia and season of birth in a tropical region: relationship to rainfall

Winter birth has been shown to increase the risk of schizophrenia in adult life. It has been hypothesized that this effect is due to seasonal variation in infectious diseases, including influenza, as exposure to influenza during mid gestation also increases the risk of schizophrenia. However, in many areas there is little variation in temperature during the year, although rainfall may vary greatly. We tested the hypothesis that, in a tropical region with wet and dry seasons, schizophrenia births would be related to rainfall. The data came from the city of Mossoro in north-eastern Brazil. In this area there is no meaningful variation in temperature, but there is a rainy season with little precipitation during the rest of the year. In this region, the prevalence of influenza parallels that of rainfall. There was a significant relationship between rainfall and the number of schizophrenia births three months later. In contrast, there was no significant relationship between rainfall and general population births three months later. The relationship of birth to rainfall, rather than winter birth, may be associated with risk of schizophrenia in tropical regions; exposure to influenza during gestation may be the basis for such a relationship.

Seasonality of birth in patients with mood disorders in Japan

BACKGROUND

Findings about seasonality of birth in individuals with mood disorders have been inconsistent.

METHODS

Data were collected from the governmental statistics, the Patient Survey in Japan in 1996. The number of patients with mood disorders was 13,969. We obtained information about each patient's date of birth, sex, and diagnosis according to ICD-10. Distributions of monthly birth numbers of patients with mood disorders were compared to those of the general population.

RESULTS

Birth excess was observed from winter to early-spring in both sexes, compared to births of the general population. The magnitude of the excess was larger in females than in males. Although the same tendencies were observed in patients with bipolar disorder and depressive disorder, the differences were more marked in females.

LIMITATIONS

Insufficient birth data in the general population before 1940 and hospital diagnosis.

CONCLUSION

Among Japanese patients with mood disorders, there are excess births from winter to early-spring, compared to the general population. This difference is more marked in females than in males.

Birth patterns in mentally retarded autistic patients

Some studies claim to have shown that, compared to the general population, autistic children are born more often in the spring. The current study sought to replicate this finding in a large Dutch sample of mentally retarded autistic patients. Birth data for 1,031 patients with a diagnosis of "Infantile Autism" or "other psychoses with origin specific to childhood" were compared to those of the Dutch national population. Separate analyses were performed on diagnostic subgroups (i.e., infantile autism vs. other psychoses with origin specific to childhood), gender, and intelligence. No evidence was found to suggest that autism is characterized by a deviant birth pattern.

No relationship between schizophrenic birth and influenza epidemics in Japan

The finding that influenza epidemics are associated with an increased risk of adult schizophrenia has been controversial. Data was obtained from Japan's governmental statistics, the Patient Survey. Index years were defined as 1957/1958, 1962, and 1965, and comparison years were defined 2 years before and 2 years after the index year. Subjects were patients with schizophrenia who were born in the index years of influenza epidemics. Periods 5 months after the influenza epidemics were defined as exposed months. Proportions of patients born during the exposed period in the index years were compared with those of patients born in the corresponding months in the comparison years. The proportions of patients born in the exposed months in the index years were not significantly different from those born in the corresponding months in the comparison years, with odds ratios around 1 in the whole country, the Kanto area, and the Shikoku/Kyushu area where a remarkable influenza epidemic was observed in 1957. No difference was observed in analyses stratified by sex. In Japan, there was no relationship between influenza epidemics and schizophrenic birth.

HPA axis and cytokines dysregulation in schizophrenia: potential implications for the antipsychotic treatment

The authors discuss literature evidence on the possible dysfunctioning of HPA axis and the inflammatory response system (IRS) in schizophrenia in relation to a more comprehensive bio-pathogenetic hypothesis of the disorder and to the development of specific clinical patterns or 'core' schizophrenic symptoms, like those included in the so called negative/depressive dimension. The dysfunctions of HPA axis and IRS could be linked to some neurodevelopmental damage in relevant brain areas like hippocampus and it could involve mainly the glutamatergic pathways (e.g. NMDA receptors). Moreover, these changes could have some predictive value for response to typical antipsychotics (specifically for negative symptoms and drug resistance) in schizophrenia. Finally, the differential activity of typical versus atypical antipsychotic compounds on the basic HPA axis and IRS dysregulations in schizophrenia could account, at least partly, for the better clinical stabilization achieved in patients treated with the latter drugs compared to those receiving conventional neuroleptics.

Seasonality and infectious disease in schizophrenia: the birth hypothesis revisited

Research literature supports the notion that more people diagnosed with schizophrenia are born during the winter months than other seasons [O'Hare A, Walsh D, Torrey F. Seasonality of schizophrenia births in Ireland. Br J Psychiatry 1980;137:74 7; Pulver AE, Stewart W, Carpenter WT, Jr., Childs B. Risk factors in schizophrenia: season of birth in Maryland, USA. Br J Psychiatry 1983;143:389-96.]. Researchers have postulated that this surge in winter-birth schizophrenia may be related to increases in viral infectious such as influenza and measles [Watson CG, Kucala T, Tilleskjor C, Jacobs L. Schizophrenic birth seasonality in relation to incidence of infectious diseases and temperature extremes. Arch Gen Psychiatry 1984:41:85-90; Mednick SA, Machon RA, Huttunen MO, Bonnett D. Adult schizophrenia following prenatal exposure to an influenza epidemic. Arch Gen Psychiatry 1988;45:189-92.]. However, data supporting significant relationships between infectious disease and schizophrenia incidence has been equivocal [Kendell R, Kemp I. Maternal influenza in the etiology of schizophrenia. Arch Gen Psychiatry 1989;46:878-82; McGrath J, Castle D. Does influenza cause schizophrenia? A five year review. Aust N Z J Psychiatry 1995;29:23-31.]. The purpose of this study was to replicate and expand previous studies by examining seasonal and infectious disease influences on schizophrenia prevalence. It was hypothesized that: (1) there would be an increase in schizophrenia prevalence during the winter months; and (2) that a significant amount of variability in schizophrenia birthrates would be accounted for by rates of influenza and measles. A Georgia Medicaid database (N = 746,615) and statewide infectious disease tables were used to identify correlations. Medicaid recipients were divided into schizophrenia (n = 11,736) and non-schizophrenia (n = 734,879) groups. A ratio of schizophrenic recipients to non-schizophrenic recipients was calculated for each birth cohort represented by each month of the year from 1948-1965. Multiple regression analyses indicated a significant relationship between winter season and schizophrenia incidence. However, neither influenza nor measles was predictive of schizophrenia prevalence. These findings were made using one of the largest sample of schizophrenic individuals in the literature to date. Limitations of the study are discussed, including the use of seasonal and prevalence correlations without data on patient linked maternal infections.

Season of birth in autism: a fiction revisited

Variations of season of birth among autistic individuals were studied. The replicability of previously reported increases in birth rates in the months of March and August were examined in groups of individuals with autism or mental retardation (the comparison group). The sample was obtained from the Yale Child Study Center Developmental Disabilities Clinic and from the DSM-IV Autism/PDD field trial. Data were analyzed by applying the Jonckheere test of ordinal trend and the chi-square test, with Yates correction factor. With respect to March and August births, and with calculations based on the beginning and middle of the month, no significant seasonal effect was observed. Samples were subcategorized into verbal and mute groups, and again results failed to support the seasonality hypothesis.

Alcoholic typology and season of birth

OBJECTIVE

This study analyzed the half years of birth of a large (n = 113,276) population of alcoholic patients in the U.S. Army Alcohol and Drug Abuse Prevention and Control Program from 1986 through 1990.

METHOD

Subjects were enrolled for treatment of alcoholism or alcohol-related problems, and were analyzed for half year of birth. Groupings by age and gender, consistent with current theories of alcoholic typology, were compared, by means of chi-square tests, and by comparisons of two rates or proportions.

RESULTS

The 17-21 year old and the 22-39 year old age groups differed by 5.1% in regard to half year of birth (chi-square = 260.317, p < 0.001, 95% CI:4.481 to 5.725, odds ratio: 1.23). Both groups differed significantly from the normal circannual birth pattern, but in opposite directions.

CONCLUSIONS

The findings support the differentiation of types of alcoholics by age, which is a characteristic of Cloninger's classification, suggesting a biological, pre-natal factor.