Skip to main content

Abstract

Maternal inflammation level during pregnancy was related to risk of schizophrenia in offspring, adding new evidence for the association of infection and immune activation with the development of the disorder.

Abstract

Objective

The objective of the present study was to investigate an association between early gestational C-reactive protein, an established inflammatory biomarker, prospectively assayed in maternal sera, and schizophrenia in a large, national birth cohort with an extensive serum biobank.

Method

A nested case-control design from the Finnish Prenatal Study of Schizophrenia cohort was utilized. A total of 777 schizophrenia cases (schizophrenia, N=630; schizoaffective disorder, N=147) with maternal sera available for C-reactive protein testing were identified and matched to 777 control subjects in the analysis. Maternal C-reactive protein levels were assessed using a latex immunoassay from archived maternal serum specimens.

Results

Increasing maternal C-reactive protein levels, classified as a continuous variable, were significantly associated with schizophrenia in offspring (adjusted odds ratio=1.31, 95% confidence interval=1.10–1.56). This finding remained significant after adjusting for potential confounders, including maternal and parental history of psychiatric disorders, twin/singleton birth, urbanicity, province of birth, and maternal socioeconomic status.

Conclusions

This finding provides the most robust evidence to date that maternal inflammation may play a significant role in schizophrenia, with possible implications for identifying preventive strategies and pathogenic mechanisms in schizophrenia and other neurodevelopmental disorders.
Mounting epidemiological and preclinical evidence implicates prenatal infection and subsequent immune activation in the etiology of schizophrenia (for a review, see reference 1). The most convincing epidemiologic studies were based on birth cohorts in which maternal biomarkers of infection and inflammation were assayed from prospectively archived maternal serologic specimens drawn during pregnancy. These studies revealed associations between offspring with schizophrenia and elevated maternal antibody to influenza, rubella, toxoplasma gondii, and herpes simplex virus type 2 (16). Associations have also been found using ecologic designs and ascertainment of pregnancies complicated by clinical infections (711). Inflammation during pregnancy may represent a common pathway by which different infections, as well as other early environmental insults, increase risk for the disorder. In support of this, other birth cohort studies found that levels of two proinflammatory cytokines, interleukin-8 and tumor necrosis factor-alpha, were significantly elevated in maternal serum samples from pregnancies that gave rise to offspring who later developed schizophrenia (12, 13). Moreover, many autoimmune diseases that result in a chronic inflammatory state have been found to be associated with schizophrenia (14). Risk of schizophrenia was found to be further increased in persons with autoimmune diseases that also experienced a severe infection, suggesting that multiple perturbations that produce inflammation may act synergistically (14).
Additionally, a large number of investigations using in vivo models of maternal immune activation in rodents have found that prenatal infection and subsequent inflammation produce brain and behavioral changes in offspring analogous to those seen in patients with schizophrenia and other neuropsychiatric disorders (for a review, see references 1517). Maternal immune activation during pregnancy, induced by either direct infection with influenza virus or indirect stimulation of the maternal immune system using a viral (polyinosinic-polycytidylic acid) or bacterial (lipopolysaccharide) mimic, results in behavioral deficits as well as neurochemical, morphological, and anatomical changes in the offspring brain similar to abnormalities reported in schizophrenia (for a review, see reference 17). The ability of maternal immune activation in the absence of a pathogenic microbe to mimic brain and behavioral changes produced by direct infection with live influenza virus provides strong evidence that activation of the maternal immune system is responsible for many of the effects of prenatal infection on offspring brain and behavior.
To test whether maternal inflammation during pregnancy is associated with schizophrenia in offspring, we examined the relationship between maternal C-reactive protein and schizophrenia in the Finnish Prenatal Study of Schizophrenia. The Finnish Prenatal Study of Schizophrenia utilized 1) a large, representative sample of pregnancies from a national birth cohort with prospectively collected and archived maternal serum specimens from an extensive biobank and 2) well-validated offspring diagnoses of virtually all schizophrenia cases in Finland from national registries of both hospital admissions and outpatient treatment. We chose to measure maternal C-reactive protein because it is a well-established and reliable general marker of inflammation from both infectious and noninfectious exposures (18). Thus, we tested the hypothesis that maternal inflammation, as indicated by increased levels of C-reactive protein in maternal serum during early to middle gestation, is related to an increased risk of schizophrenia in offspring.

Method

The Finnish Prenatal Study of Schizophrenia is based on a nested case-control design. This study is part of a larger program of research known as the Finnish Prenatal Studies, aimed to examine prenatal exposures in relation to major psychiatric outcomes, including schizophrenia and autism. The sampling frame was defined so that all members of the cohort were within the age of risk for schizophrenia. For this purpose, the sampling frame consisted of all offspring born in Finland from 1983 (the beginning of the Finnish Maternity Cohort) to 1998. Cohort members were followed up until 2009.

Description of the Cohort and Biobank

All offspring in the Finnish Prenatal Study of Schizophrenia were derived from the Finnish Maternity Cohort, which consists of virtually all pregnancies with archived prenatal serum specimens that were drawn beginning in 1983. Sera were drawn during the first and early second trimesters from more than 98% of pregnant women in Finland, following informed consent, for screening of HIV, syphilis, and hepatitis. One maternal serum sample was obtained for each pregnancy. Over the years of births in the study, sera from over one million pregnancies were drawn. After the screening, serum samples were stored as one aliquot at −25°C in a single, centralized biorepository at the National Institute for Health and Welfare in Oulu, Finland. All of the serum samples in the Finnish Maternity Cohort can be linked with offspring by a unique personal identification number, which has been assigned to all residents of Finland since 1971.

Case and Control Identification

In order to identify cases for the present study, we utilized the nationwide Finnish Hospital Discharge and Outpatient Registry. The Finnish Hospital Discharge and Outpatient Registry contains all recorded diagnoses for all psychiatric hospital and outpatient admissions. The registry was established in 1963; computerized data are available from 1987 to the present. All Finnish citizens are entitled to Finland’s national health insurance, which is maintained by the state and financed through tax revenues. The registry covers all mental and general hospitals, as well as all inpatient wards of local health centers, military wards, prison hospitals, and private hospitals. The registry contains the hospital identification code, the dates and length of stay, and the primary diagnoses at discharge. Individuals in the Finnish Maternity Cohort with a diagnosis of schizophrenia (ICD-10 F20) or schizoaffective disorder (ICD-10 F25) were followed up from 1998 to 2009 (hereafter, these cases are referred to as “schizophrenia” cases). All diagnoses were made in accordance with ICD-10. The age at onset was dated by the first recorded contact with a psychiatric facility with a diagnosis of schizophrenia or schizoaffective disorder. Diagnostic validity of schizophrenia based on the Finnish Hospital Discharge and Outpatient Registry was found to be excellent; in a previous validation study (19), 93% of patients with a Finnish registry diagnosis of schizophrenia were assigned a consensus diagnosis of schizophrenia or schizophrenia spectrum disorder. These cases were linked to the Finnish Maternity Cohort by the personal identification numbers in order to identify the corresponding maternal serum specimens. For the present study, we identified a total of 1,514 cases of schizophrenia. Among these schizophrenia cases, 777 (schizophrenia, N=630; schizoaffective disorder, N=147) had sufficient maternal sera available to perform C-reactive protein testing. These cases were matched 1:1 to controls drawn from the birth cohort who were without schizophrenia, other nonaffective psychotic disorders, and bipolar disorder based on date of birth (within 1 month), sex, and residence in Finland at the time of diagnosis.

Finnish Population Registry

The computerized Finnish Population Registry was created in 1971 when the nationwide centralized population registry was established. The registry contains comprehensive data on place of birth, twin/singleton birth, date of emigration, date of death, place of residence, and biological parents, including their birth dates.
The study was approved by the ethical committees of the hospital district of Southwest Finland, the National Institute for Health and Welfare (which also included register linkage approval), and the institutional review board of the New York State Psychiatric Institute. Informed consent was obtained before acquisition of all maternal serum specimens and following explanation of the nature and possible consequences of the procedure and data derived from serum analyses.

C-Reactive Protein Assay

C-reactive protein measurements were carried out blind to case/control status. C-reactive protein was measured on the clinical chemistry analyzer Architect c8200 (Abbott Laboratories, Abbott Park, Ill.) using a latex immunoassay (Sentinel, Milan, Italy) at the National Institute for Health and Welfare laboratory in Helsinki, Finland, under the supervision of Dr. Leiviskä. During the course of the study, the precision between series expressed as the coefficient of variation was 5.1% (SD=2.3%), and the systematic error (bias) was 2.7% (SD=7.4). Assay sensitivity was 0.10 mg/L.

Covariates

The covariates included maternal age; paternal age; number of previous births; socioeconomic status (based on maternal education); maternal and parental history of schizophrenia, other nonaffective psychotic disorders, and affective or other psychiatric disorders (a list of ICD codes used are presented in the Table 1 footnote); gestational week of the maternal blood draw; twin/singleton birth; urban/semiurban/rural birth; and province at birth. All covariates except gestational week of the blood draw were obtained from the Finnish Population Registry; gestational week was obtained from the Finnish Maternity Cohort. Each covariate was classified as presented in Tables 1 and 2.
TABLE 1. Relationship Between Covariates and Maternal C-Reactive Protein Levels (≥/< Median) in Control Subjects
CovariateC-Reactive Protein ≥MedianC-Reactive Protein<MedianAnalysis
 MeanSDMeanSDtdfp  
Maternal age (years)28.75.227.95.5–2.157750.03  
Gestational week of blood drawa11.33.910.24.9–2.4670<0.001  
 N%N%χ2dfpOdds Ratio95% CI
Sex    0.4810.49  
 Male21856.022758.5   1.110.83–1.47
 Female17144.016141.5   ReferenceReference
Previous births    36.01<0.0001  
 010928.019049.0   ReferenceReference
 ≥12807219851.0   0.40.30–0.55
Maternal educationb    0.4630.93  
 Less than high school8722.58722.5   1.020.72–1.73
 High school graduate22257.421756.2   ReferenceReference
 Bachelor’s degree5213.45815.0   1.140.75–1.73
 Master’s/Ph.D. degree266.7246.2   0.940.53–1.70
Family history         
 Maternal schizophrenia spectrum disorder and other nonaffective psychosesc51.392.31.1710.281.820.61–5.49
 Parental schizophrenia spectrum disorder and other nonaffective psychosesc123.1133.40.0410.831.090.49–2.42
 Maternal affective disorderd318.0307.70.0210.900.970.57–1.63
 Parental affective disorderd4611.85313.70.5910.441.180.77–1.80
 Any maternal psychiatric disordere4712.14912.60.0510.821.050.69–1.61
 Any parental psychiatric disordere8020.68923.00.6410.421.150.82–1.62
Twinninga215.4164.10.7010.400.750.39–1.47
Urbanicity    9.3520.01  
 Urban20659.823253.0   1.571.14–2.15
 Semiurban4411.315614.4   1.771.10–2.83
 Rural13935.710025.8   ReferenceReference
Province of birth    1.5630.67  
 Southern Finland13233.914537.4   1.230.88–1.72
 Eastern Finland5915.25915.2   1.120.73–1.72
 Western Finland14838.113234.0   ReferenceReference
 Northern Finland5012.95213.4   1.170.74–1.84
a
Data are missing for 105 control subjects (≥median, N=46; <median, N=59).
b
Data are missing for four control subjects (≥median, N=2; <median, N=2).
c
Diagnoses were defined in accordance with the following ICD codes: ICD 10: F20–25, F28–29; ICD 9: 295, 297, 298.9X, 301.2C; ICD 8: 295, 297, 298.20, 298.30, 298.99, 299.
d
Diagnoses were defined in accordance with the following ICD codes: ICD 10: F30–34, F38–39; ICD 9: 296, 300.4, 298.8A; ICD 8: 296, 298.00, 298.10, 300.41.
e
Diagnoses were defined in accordance with the following ICD codes, in addition to the codes used in c and d: ICD 10: F84, F40–45, F48, F50–53, F55, F59–66, F68–69, F99, F10–19; ICD 9: 299, 300–300.3, 300.5–301.1, 301.2 excluding 301.2C, 301.3–301.9, 302, 307.1A, 307.4A, 307.4F, 307.4H, 307.5A, B, C and E, 307.8A, 307.9X, 309–309.1, 309.2 excluding A and B, 309.2D, E and F, 309.3–309.9 excluding 309.3A and 309.4A, 312.0A, 312.1–312.2, 312.3 excluding 312.3D, 312.4–312.9, 291–292, 303–305; ICD 8: 308, 300.0–300.3, 300.4, 300.5–302.9, 305, 306.40, 306.50, 306.98, 307.99, 291, 303–304.
TABLE 2. Relationship Between Covariates and Schizophrenia in Case and Control Subjects
CovariateControl SubjectsCase SubjectsAnalysis
 MeanSDMeanSDtdfp  
Maternal age (years)28.25.128.55.6–1.2115520.23  
Gestational week of blood drawa10.94.111.34.2–1.4413400.18  
 N%N%χ2dfpOdds Ratio95% CI
Sex    0.0011.0  
 Male44557.344557.3   1.0b 
 Female33242.733242.7   ReferenceReference
Previous births    0.2710.60  
 029938.528937.2   ReferenceReference
 ≥147861.548862.8   1.060.86–1.29
Maternal educationc    7.5130.06  
 Less than high school17422.519725.5   1.080.85–1.38
 High school graduate43956.845458.7   ReferenceReference
 Bachelor’s degree11014.27810.1   0.700.51–0.96
 Master’s/Ph.D. degree506.5445.7   0.860.56–1.32
Family history         
 Maternal schizophrenia spectrum disorder and other nonaffective psychoses141.88410.853.41<0.00018.04.15–15.44
 Parental schizophrenia spectrum disorder253.212916.678.01<0.00016.23.87–9.94
 Maternal affective disorder617.916220.953.41<0.00012.982.17–4.09
 Parental affective disorder9912.723730.572.31<0.00012.922.32–3.81
 Any maternal psychiatric disorder9612.425132.389.141<0.00013.462.61–4.58
 Any parental psychiatric disorder16921.838649.7131.981<0.00013.612.83–4.61
Twinningd374.8151.99.6310.0020.310.21–0.72
Urbanicity    7.8420.02  
 Urban43856.449063.1   1.391.10–1.75
 Semiurban10012.99312.0   1.150.82–1.61
 Rural23930.819425.0   ReferenceReference
Province of birth    28.43<0.0001  
 Southern Finland27735.738048.9   1.761.39–2.23
 Eastern Finland11815.29312.0   1.040.76–1.44
 Western Finland28036.021627.8   ReferenceReference
 Northern Finland10213.18811.3   1.130.80–1.60
a
Data are missing for 212 subjects (case subjects, N=107; control subjects, N=105).
b
The odds ratio is 1 by definition because the groups are matched on sex.
c
Data are missing for 10 subjects (case subjects, N=4; control subjects, N=6).
d
Data are missing for eight subjects (case subjects, N=4; control subjects, N=4).

Statistical Analysis

The analysis was based on a nested case-control design in which the control subjects for each case were selected from the population at risk (the Finnish Prenatal Study of Schizophrenia birth cohort) and matched to cases based on selected factors, as described in “Case and Control Identification.” In the main analysis, we examined maternal C-reactive protein as a continuous measure. Given the skewed distribution of C-reactive protein, the variable was log-transformed before analysis.
In order to further facilitate interpretation of the data, we conducted an additional analysis with maternal C-reactive protein as a categorical variable. C-reactive protein levels ≥10 mg/L are considered clinically abnormal (18). Therefore, we examined the risk of developing schizophrenia among offspring of mothers with C-reactive protein levels ≥10 mg/L in relation to those with levels <10 mg/L.
Appropriate to the nested case-control study design, point and interval estimates of odds ratios were obtained by fitting conditional logistic regression models for matched sets. Statistical significance was judged at a p value <0.05. After examining the main effects, we then investigated whether the effect of maternal C-reactive protein on schizophrenia risk was modified by sex. For this purpose, sex and sex-by-C-reactive protein interaction terms were added to the statistical model. The interaction terms were deemed to be statistically significant based on a p value <0.05. Statistical analyses were performed using SAS 9.2 (SAS Institute, Cary, N.C.).

Results

The 777 schizophrenia cases that were assayed for maternal C-reactive protein did not differ from the 737 nonassayed cases on maternal age, gestational week of blood draw, previous number of births, maternal socioeconomic status, maternal psychiatric disorders, parental psychiatric disorders, number of twin births, or urbanicity. A difference in province of birth (p=0.07) fell short of statistical significance, with a slight underrepresentation of the Northern Finland Province among those included in the sample.

Covariates

Increased maternal age, increased number of previous births, greater gestational week of the blood draw, and birth in a rural area were all significantly associated with increased C-reactive protein (Table 1). As expected, maternal and parental history of several psychiatric disorders, including schizophrenia and affective disorders, were significantly associated with schizophrenia in offspring. In addition, twin/singleton birth, urbanicity, and province of birth were significantly associated with schizophrenia in offspring (Table 2). An association between maternal education and schizophrenia nearly reached statistical significance (p=0.06) (Table 2).

Maternal C-Reactive Protein and Schizophrenia

In the unadjusted analysis, there was a significant association between increasing maternal C-reactive protein and risk of schizophrenia (odds ratio=1.12, 95% confidence interval [CI]=1.02–1.24, p=0.02). Inspection of the distribution of maternal C-reactive protein values for case and control subjects revealed that in most of the sampling intervals in the highest 50th percentile of C-reactive protein values, there was an over-representation of case subjects compared with control subjects; while, as expected, in most of the sampling intervals in the lowest 50th percentile, there was an under-representation of case subjects compared with control subjects. This indicates that the relationship was not driven by a difference between case and control subjects only among the most highly elevated values (Figure 1). Overall, the median maternal C-reactive protein level for case subjects was 2.47 mg/L, and the median level for control subjects was 2.17 mg/L. Although no covariate was associated with both maternal C-reactive protein and schizophrenia, for further reassurance, we adjusted for each covariate following the unadjusted analysis. The magnitude of the association was increased following adjustment for maternal age, previous births, maternal education, parental psychiatric disorders, urbanicity of birth, province of birth, twin/singleton birth, and gestational week of the blood draw (odds ratio=1.28, 95% CI=1.07–1.54, p=0.007). This finding indicates that for every 1 mg/L increase in maternal C-reactive protein, the risk of schizophrenia was increased by 28%. Additionally, we observed a rise in maternal C-reactive protein levels with increasing gestational week of the blood draw for both case and control subjects (Figure 2). There appears to be an elevation in maternal C-reactive protein levels in case subjects, compared with control subjects, at both earlier and later gestational sampling points.
FIGURE 1. Distribution of Maternal C-Reactive Protein Levels in Case and Control Subjectsa
a The graph shows the frequency of case and control subjects with maternal C-reactive protein values (mg/L) in the given intervals.
FIGURE 2. Median Maternal C-Reactive Protein Levels in Case and Control Subjects by Gestational Week of the Blood Drawa
a The graph shows the median maternal C-reactive protein value (mg/L) for case and control subjects with maternal serum obtained in the indicated range of gestational weeks.
In a secondary analysis, we examined whether offspring of mothers with C-reactive protein levels ≥10 mg/L (a level that is considered clinically abnormal, see reference 18) had an increased risk of developing schizophrenia compared with those with maternal levels <10 mg/L. We found that offspring of mothers with C-reactive protein levels ≥10 mg/L had an increased risk of developing schizophrenia (odds ratio=1.58, 95% CI=1.04–2.40, p=0.03). Adjusted for maternal age, previous births, maternal education, parental psychiatric disorders, urbanicity of birth, province of birth, twin/singleton birth, and gestational week of the blood draw, the magnitude of this effect was modestly attenuated but did not reach statistical significance (odds ratio=1.43, 95% CI=0.83–2.46).

Maternal C-Reactive Protein and Schizophrenia by Sex of Offspring

Given the established differences in the risk of schizophrenia by sex, we conducted a supplementary analysis to assess effect modification by sex on the relationship between maternal C-reactive protein and risk of schizophrenia. There was no sex-by-C-reactive protein interaction in predicting schizophrenia.

Discussion

This study demonstrated that elevated maternal C-reactive protein during pregnancy is associated with an increased risk of schizophrenia in offspring. This finding was not confounded by maternal age, previous births, maternal education, parental psychiatric disorders, urbanicity of birth, province of birth, twin/singleton birth, or gestational week of the blood draw. Given the design advantages, this study provides the most robust evidence to date that maternal inflammation during pregnancy is related to the risk of schizophrenia in offspring and is consistent with many preclinical studies that have suggested a causal association.
There are several biologically plausible hypotheses to account for this association. First, C-reactive protein may be acting as a proxy for the inflammatory cytokine, interleukin-6 (20). Preclinical studies indicate that interleukin-6 may mediate some of the effects of maternal immune activation on schizophrenia-related behavioral phenotypes in rodents (2123). Following maternal injection of polyinosinic-polycytidylic acid or lipopolysaccharide, levels of several proinflammatory cytokines, including interleukin-6, are elevated in the maternal serum, the placenta, and possibly the brain of the developing offspring, although the latter remains controversial (for a review, see reference 17). Indeed, Smith et al. (23) elegantly demonstrated that the proinflammatory cytokine interleukin-6 is both necessary and sufficient to produce the behavioral abnormalities in sensorimotor gating and latent inhibition observed in adult offspring of mothers given an injection of polyinosinic-polycytidylic acid during pregnancy. We were not able to quantify interleukin-6 in the present study given the sample volume requirements for this assay. In addition to acting as a proxy for interleukin-6, C-reactive protein may also affect fetal development through certain mediating factors. Clinical studies have shown that increased C-reactive protein in pregnant women is associated with conditions such as preeclampsia as well as with preterm birth and lower birth weight (2426), each of which is related to adverse early or later reproductive outcomes. In fact, it has been hypothesized that C-reactive protein itself may contribute to placental dysfunction in preeclampsia by eliciting endothelial dysfunction, resulting in vascular damage and impaired placental development (27, 28). Finally, C-reactive protein may directly affect brain development. It is involved in the complement cascade, activation of which is known to play a role in normal synaptic pruning and refinement during development (29). If elevated levels of maternal C-reactive protein result in increased levels of C-reactive protein in the developing offspring brain, it could conceivably alter synaptic connectivity in a way that increases risk for the development of psychopathology.
Although to our knowledge no previous study has examined maternal C-reactive protein in relation to schizophrenia in offspring, maternal cytokines have been investigated in two previous birth cohort studies. Maternal tumor necrosis factor-alpha levels were related to a significantly increased risk of schizophrenia and other psychotic disorders (N=27) in offspring in the National Collaborative Perinatal Project (13). Significantly elevated maternal interleukin-8 levels were related to an elevated risk of schizophrenia and other schizophrenia spectrum disorders (consisting mostly of schizoaffective disorder) (N=59) in the Child Health and Development Study birth cohort (12).
Strengths of our study included C-reactive protein levels from prospectively drawn archived maternal serum specimens. Moreover, the specimens were drawn during early to middle pregnancy, rather than at delivery or in the neonate, allowing for a greater focus on prenatal influences. In addition, case ascertainment was facilitated by the socialized health care system of Finland, which covers all individuals who seek treatment for schizophrenia, encoded in national psychiatric registries. This allowed us to obtain nearly all schizophrenia cases diagnosed in Finland in a national population-based birth cohort. In addition, the Finnish Population Registry permitted the identification of control subjects who are representative of the source population that gives rise to the cases. These methodological features minimize the potential for selection bias.
There are multiple exposures that could elevate levels of maternal serum C-reactive protein, including both infectious and noninfectious insults. The fact that risk of developing schizophrenia was elevated in offspring of mothers with C-reactive protein levels ≥10 mg/L (compared with offspring of mothers with levels <10 mg/L) suggests that elevated C-reactive protein may reflect a recent infection or an active inflammatory process, since levels ≥10 mg/L are considered clinically abnormal (18). This interpretation is consistent with an extensive literature documenting an increased risk of schizophrenia among offspring whose mothers experienced an infection during pregnancy (for a review, see reference 1). However, the fact that we also found a significant increase in risk for schizophrenia for C-reactive protein levels expressed as a continuous variable (following log transformation) may indicate that even mildly elevated levels, which may reflect a low-grade inflammatory process, are related to schizophrenia in offspring. In either case, it seems likely that elevated levels of maternal C-reactive protein, and the underlying immunological activation these levels likely reflect, interact with other environmental insults to give rise to this disorder. This hypothesis is supported by a recent preclinical study in rodents demonstrating that mild maternal immune activation during pregnancy interacted with subsequent peripubertal stress in offspring to give rise to behavioral abnormalities in adulthood considered to be analogous to those found in schizophrenia (30). Alternatively, elevated maternal C-reactive protein levels may reflect genetic, rather than environmental, factors. Several common polymorphisms in the C-reactive protein gene have been associated with elevated levels of serum C-reactive protein (31). Future work will be necessary to assess interactions between maternal infection, peripubertal stress, and other postnatal environmental risk factors, as well as with genetic susceptibility, in schizophrenia.
There are several limitations to this study. First, although there was no evidence of confounding following extensive testing of many covariates, residual confounding by unmeasured factors may have occurred. Second, because the members of the sample cohort were born in 1983 and the last follow-up year was 2009, our sample was relatively young, with the mean age for both case and control subjects being 22.8 years (SD=2.2) and the mean age at first treatment for case subjects being 19.0 years (SD=2.7 years). Thus, it is possible that C-reactive protein is a risk factor for earlier-onset cases of schizophrenia. Additionally, C-reactive protein may be a risk modifier rather than a risk factor for schizophrenia; in this scenario, elevated levels would be related to an earlier onset of the disease in persons at risk for other reasons.
Although the primary goal of our analysis was to investigate an association between maternal C-reactive protein and later risk of schizophrenia in offspring, in the course of testing for confounding, we demonstrated associations in this cohort between schizophrenia and family psychiatric history, twin/singleton birth, urbanicity, and province of birth (Table 2). The increased risk of schizophrenia in subjects with a parent with either a schizophrenia spectrum disorder or nonaffective disorder or a parent with any type of psychiatric diagnosis was expected given the findings reported in the previous literature. Specifically, it has been demonstrated that having a mother or a parent with schizophrenia increases the offspring risk of schizophrenia by six- to eightfold (32, 33). Our finding of a decreased risk of schizophrenia in twin, compared with singleton, pregnancies differs from the findings of a previous study in a Danish sample, which showed that twin offspring had a 26% increased risk of schizophrenia compared with singleton offspring (34). Another study, conducted in a West African population, showed that twinning had no relationship to schizophrenia risk (35). Potential explanations for these varying results include an interaction of this variable with genetic background or mediation by levels of prenatal care and obstetric complications, which could vary by the country of birth. The finding in our study of an association between urbanicity and schizophrenia has also been demonstrated in previous epidemiologic studies (33, 36). While the reasons for this association are unknown, hypothesized mediators include increased risk of infections or other factors related to urbanicity, selective migration, and increased access to psychiatric services (37). Finally, our finding that living in the Southern Province of Finland increased the risk of developing schizophrenia was unexpected. In fact, a previous study reported that the prevalence of psychoses was highest in Northern and Eastern Finland (38), and thus understanding the origin of our finding will require further investigation.
While the covariates were associated with increased risk of schizophrenia, they did not confound the relationship between maternal C-reactive protein and schizophrenia because none of them were independently related to levels of maternal C-reactive protein (Table 1) and the association between maternal C-reactive protein and schizophrenia remained significant after adjusting for all of these covariates. However, it is still possible that these covariates may be effect modifiers of the relationship between maternal C-reactive protein and schizophrenia. For example, maternal C-reactive protein may interact with familial risk or urbanicity to increase risk of this disorder. Although outside the scope of the present study, we aim to explore these questions in future work.
Moreover, elevated maternal C-reactive protein levels may not be a risk factor that is specific to schizophrenia. In the same Finnish national birth cohort that was investigated in this study, our research group previously demonstrated a significant increase in maternal C-reactive protein levels in pregnancies that gave rise to childhood autism (autistic disorder) (39). In support of an early inflammatory contribution to the pathophysiology of autism, several other studies have found evidence that severe maternal infection during pregnancy or elevated levels of inflammatory signaling molecules in the amniotic fluid or neonate are associated with an increased risk of autism (4043), although there are also negative reports (44, 45). While we have not yet investigated maternal C-reactive protein and bipolar disorder or major affective disorder in the present cohort, there is evidence that maternal infection is a risk factor for development of these disorders in offspring, suggesting that an inflammatory component may also play a role in these outcomes (4648).
It is intriguing to speculate that maternal inflammation during pregnancy may “prime” the brain to broadly increase risk for the later development of different types of psychiatric syndromes. This is consistent with preclinical studies that have demonstrated that maternal immune activation during pregnancy produces offspring with behavioral and brain phenotypes that are most likely relevant to multiple psychiatric disorders, especially schizophrenia and autism (15, 17). Interaction with specific genetic or environmental insults, during particular developmental windows, might then determine the specificity of the later disorder. This hypothesis could be tested in future studies.
In conclusion, we have demonstrated that elevated maternal C-reactive protein is related to an increased risk of schizophrenia in offspring. These findings are consistent with an extensive preclinical literature on maternal immune activation and brain and behavioral abnormalities in animal models, as well as with epidemiologic evidence of maternal infection and immunologic dysfunction as risk factors for schizophrenia. If replicated, these findings may have important implications for elaborating the role of immune system dysfunction in schizophrenia. Finally, our finding that maternal C-reactive protein is associated with an increased risk of schizophrenia in offspring has important implications for disease prevention, given that many standard approaches already exist to reduce the incidence of infections or lessen the severity of the inflammation that they produce (49).

Acknowledgments

The authors thank the Finnish Maternity Cohort laboratory staff for retrieving and preparing the samples for analysis, as well as Jacky Chow for assistance with the manuscript preparation.

References

1.
Brown AS, Derkits EJ: Prenatal infection and schizophrenia: a review of epidemiologic and translational studies. Am J Psychiatry 2010; 167:261–280
2.
Brown AS, Schaefer CA, Quesenberry CP, Liu L, Babulas VP, Susser ES: Maternal exposure to toxoplasmosis and risk of schizophrenia in adult offspring. Am J Psychiatry 2005; 162:767–773
3.
Brown AS, Cohen P, Greenwald S, Susser E: Nonaffective psychosis after prenatal exposure to rubella. Am J Psychiatry 2000; 157:438–443
4.
Brown AS, Begg MD, Gravenstein S, Schaefer CA, Wyatt RJ, Bresnahan M, Babulas VP, Susser ES: Serologic evidence of prenatal influenza in the etiology of schizophrenia. Arch Gen Psychiatry 2004; 61:774–780
5.
Buka SL, Cannon TD, Torrey EF, Yolken RHCollaborative Study Group on the Perinatal Origins of Severe Psychiatric Disorders: Maternal exposure to herpes simplex virus and risk of psychosis among adult offspring. Biol Psychiatry 2008; 63:809–815
6.
Mortensen PB, Pedersen CB, Hougaard DM, Nørgaard-Petersen B, Mors O, Børglum AD, Yolken RH: A Danish National Birth Cohort study of maternal HSV-2 antibodies as a risk factor for schizophrenia in their offspring. Schizophr Res 2010; 122:257–263
7.
Mednick SA, Machon RA, Huttunen MO, Bonett D: Adult schizophrenia following prenatal exposure to an influenza epidemic. Arch Gen Psychiatry 1988; 45:189–192
8.
O’Callaghan E, Sham P, Takei N, Glover G, Murray RM: Schizophrenia after prenatal exposure to 1957 A2 influenza epidemic. Lancet 1991; 337:1248–1250
9.
Sham PC, O’Callaghan E, Takei N, Murray GK, Hare EH, Murray RM: Schizophrenia following pre-natal exposure to influenza epidemics between 1939 and 1960. Br J Psychiatry 1992; 160:461–466
10.
Sørensen HJ, Mortensen EL, Reinisch JM, Mednick SA: Association between prenatal exposure to bacterial infection and risk of schizophrenia. Schizophr Bull 2009; 35:631–637
11.
Clarke MC, Tanskanen A, Huttunen M, Whittaker JC, Cannon M: Evidence for an interaction between familial liability and prenatal exposure to infection in the causation of schizophrenia. Am J Psychiatry 2009; 166:1025–1030
12.
Brown AS, Hooton J, Schaefer CA, Zhang H, Petkova E, Babulas V, Perrin M, Gorman JM, Susser ES: Elevated maternal interleukin-8 levels and risk of schizophrenia in adult offspring. Am J Psychiatry 2004; 161:889–895
13.
Buka SL, Tsuang MT, Torrey EF, Klebanoff MA, Wagner RL, Yolken RH: Maternal cytokine levels during pregnancy and adult psychosis. Brain Behav Immun 2001; 15:411–420
14.
Benros ME, Nielsen PR, Nordentoft M, Eaton WW, Dalton SO, Mortensen PB: Autoimmune diseases and severe infections as risk factors for schizophrenia: a 30-year population-based register study. Am J Psychiatry 2011; 168:1303–1310
15.
Patterson PH: Immune involvement in schizophrenia and autism: etiology, pathology and animal models. Behav Brain Res 2009; 204:313–321
16.
Meyer U, Feldon J, Fatemi SH: In-vivo rodent models for the experimental investigation of prenatal immune activation effects in neurodevelopmental brain disorders. Neurosci Biobehav Rev 2009; 33:1061–1079
17.
Boksa P: Effects of prenatal infection on brain development and behavior: a review of findings from animal models. Brain Behav Immun 2010; 24:881–897
18.
Gabay C, Kushner I: Acute-phase proteins and other systemic responses to inflammation. N Engl J Med 1999; 340:448–454
19.
Mäkikyrö T, Isohanni M, Moring J, Hakko H, Hovatta I, Lönnqvist J: Accuracy of register-based schizophrenia diagnoses in a genetic study. Eur Psychiatry 1998; 13:57–62
20.
Karlović D, Serretti A, Vrkić N, Martinac M, Marčinko D: Serum concentrations of CRP, IL-6, TNF-α and cortisol in major depressive disorder with melancholic or atypical features. Psychiatry Res 2012; 198:74–80
21.
Hsiao EY, Patterson PH: Activation of the maternal immune system induces endocrine changes in the placenta via IL-6. Brain Behav Immun 2011; 25:604–615
22.
Ashdown H, Dumont Y, Ng M, Poole S, Boksa P, Luheshi GN: The role of cytokines in mediating effects of prenatal infection on the fetus: implications for schizophrenia. Mol Psychiatry 2006; 11:47–55
23.
Smith SE, Li J, Garbett K, Mirnics K, Patterson PH: Maternal immune activation alters fetal brain development through interleukin-6. J Neurosci 2007; 27:10695–10702
24.
Ernst GD, de Jonge LL, Hofman A, Lindemans J, Russcher H, Steegers EA, Jaddoe VW: C-reactive protein levels in early pregnancy, fetal growth patterns, and the risk for neonatal complications: the Generation R Study. Am J Obstet Gynecol 2011; 205:132e1–12
25.
Cemgil Arikan D, Aral M, Coskun A, Ozer A: Plasma IL-4, IL-8, IL-12, interferon-γ and CRP levels in pregnant women with preeclampsia, and their relation with severity of disease and fetal birth weight. J Matern Fetal Neonatal Med 2012; 25:1569–1573
26.
Mihu D, Costin N, Mihu CM, Blaga LD, Pop RB: C-reactive protein, marker for evaluation of systemic inflammatory response in preeclampsia. Rev Med Chir Soc Med Nat Iasi 2008; 112:1019–1025
27.
Lam C, Lim KH, Karumanchi SA: Circulating angiogenic factors in the pathogenesis and prediction of preeclampsia. Hypertension 2005; 46:1077–1085
28.
Redman CW, Sargent IL: Preeclampsia and the systemic inflammatory response. Semin Nephrol 2004; 24:565–570
29.
Stephan AH, Barres BA, Stevens B: The complement system: an unexpected role in synaptic pruning during development and disease. Annu Rev Neurosci 2012; 35:369–389
30.
Giovanoli S, Engler H, Engler A, Richetto J, Voget M, Willi R, Winter C, Riva MA, Mortensen PB, Feldon J, Schedlowski M, Meyer U: Stress in puberty unmasks latent neuropathological consequences of prenatal immune activation in mice. Science 2013; 339:1095–1099
31.
Flores-Alfaro E, Fernández-Tilapa G, Salazar-Martínez E, Cruz M, Illades-Aguiar B, Parra-Rojas I: Common variants in the CRP gene are associated with serum C-reactive protein levels and body mass index in healthy individuals in Mexico. Genet Mol Res 2012; 11:2258–2267
32.
Mortensen PB, Pedersen MG, Pedersen CB: Psychiatric family history and schizophrenia risk in Denmark: which mental disorders are relevant? Psychol Med 2010; 40:201–210
33.
Mortensen PB, Pedersen CB, Westergaard T, Wohlfahrt J, Ewald H, Mors O, Andersen PK, Melbye M: Effects of family history and place and season of birth on the risk of schizophrenia. N Engl J Med 1999; 340:603–608
34.
Kläning U, Mortensen PB, Kyvik KO: Increased occurrence of schizophrenia and other psychiatric illnesses among twins. Br J Psychiatry 1996; 168:688–692
35.
Sirugo G, Ashenbrenner J, Odunsi K, Morakinyo O, Page G: No evidence of association between the genetic predisposition for dizygotic twinning and schizophrenia in West Africa. Schizophr Res 2004; 70:343–344
36.
Lewis G, David A, Andréasson S, Allebeck P: Schizophrenia and city life. Lancet 1992; 340:137–140
37.
Mäki P, Veijola J, Jones PB, Murray GK, Koponen H, Tienari P, Miettunen J, Tanskanen P, Wahlberg KE, Koskinen J, Lauronen E, Isohanni M: Predictors of schizophrenia: a review. Br Med Bull 2005; 73-74:1–15
38.
Lehtinen V, Joukamaa M, Lahtela K, Raitasalo R, Jyrkinen E, Maatela J, Aromaa A: Prevalence of mental disorders among adults in Finland: basic results from the Mini Finland Health Survey. Acta Psychiatr Scand 1990; 81:418–425
39.
Brown AS, Sourander A, Hinkka-Yli-Salomaki S, McKeague IW, Sundvall J, Surcel HM: Elevated maternal C-reactive protein and autism in a national birth cohort. Mol Psychiatry 2013
40.
Atladóttir HO, Thorsen P, Østergaard L, Schendel DE, Lemcke S, Abdallah M, Parner ET: Maternal infection requiring hospitalization during pregnancy and autism spectrum disorders. J Autism Dev Disord 2010; 40:1423–1430
41.
Grether JK, Croen LA, Anderson MC, Nelson KB, Yolken RH: Neonatally measured immunoglobulins and risk of autism. Autism Res 2010; 3:323–332
42.
Goines PE, Croen LA, Braunschweig D, Yoshida CK, Grether J, Hansen R, Kharrazi M, Ashwood P, Van de Water J: Increased midgestational IFN-γ, IL-4 and IL-5 in women bearing a child with autism: a case-control study. Mol Autism 2011; 2:13
43.
Abdallah MW, Larsen N, Grove J, Nørgaard-Pedersen B, Thorsen P, Mortensen EL, Hougaard DM: Amniotic fluid inflammatory cytokines: potential markers of immunologic dysfunction in autism spectrum disorders. World J Biol Psychiatry 2013; 14:528–538
44.
Abdallah MW, Larsen N, Mortensen EL, Atladóttir HO, Nørgaard-Pedersen B, Bonefeld-Jørgensen EC, Grove J, Hougaard DM: Neonatal levels of cytokines and risk of autism spectrum disorders: an exploratory register-based historic birth cohort study utilizing the Danish Newborn Screening Biobank. J Neuroimmunol 2012; 252:75–82
45.
Atladóttir HO, Henriksen TB, Schendel DE, Parner ET: Autism after infection, febrile episodes, and antibiotic use during pregnancy: an exploratory study. Pediatrics 2012; 130:e1447–e1454
46.
Machón RA, Mednick SA, Huttunen MO: Adult major affective disorder after prenatal exposure to an influenza epidemic. Arch Gen Psychiatry 1997; 54:322–328
47.
Parboosing R, Bao Y, Shen L, Schaefer CA, Brown AS: Gestational influenza and bipolar disorder in adult offspring. JAMA Psychiatry 2013; 70:677–685
48.
Canetta SE, Bao Y, Co MD, Ennis FA, Cruz J, Terajima M, Shen L, Kellendonk C, Schaefer CA, Brown AS: Serological documentation of maternal influenza exposure and bipolar disorder in adult offspring. Am J Psychiatry 2014; 171:557–563
49.
Suvisaari JM, Haukka JK, Tanskanen AJ, Lönnqvist JK: Decline in the incidence of schizophrenia in Finnish cohorts born from 1954 to 1965. Arch Gen Psychiatry 1999; 56:733–740

Information & Authors

Information

Published In

Go to American Journal of Psychiatry
Go to American Journal of Psychiatry
American Journal of Psychiatry
Pages: 960 - 968
PubMed: 24969261

History

Received: 3 December 2013
Revision received: 28 March 2014
Accepted: 11 April 2014
Published online: 1 September 2014
Published in print: September 2014

Authors

Details

Sarah Canetta, Ph.D.
From the Departments of Psychiatry and Pharmacology, Columbia University Medical Center, New York State Psychiatric Institute, New York; the Department of Child Psychiatry, Faculty of Medicine, University of Turku, Turku, Finland; the Department of Child Psychiatry, Turku University Hospital, Turku, Finland; the National Institute for Health and Welfare, Oulu, Finland; the Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland; and the Departments of Biostatistics and Epidemiology, Columbia University Mailman School of Public Health, New York.
Andre Sourander, M.D.
From the Departments of Psychiatry and Pharmacology, Columbia University Medical Center, New York State Psychiatric Institute, New York; the Department of Child Psychiatry, Faculty of Medicine, University of Turku, Turku, Finland; the Department of Child Psychiatry, Turku University Hospital, Turku, Finland; the National Institute for Health and Welfare, Oulu, Finland; the Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland; and the Departments of Biostatistics and Epidemiology, Columbia University Mailman School of Public Health, New York.
Heljä-Marja Surcel, Ph.D.
From the Departments of Psychiatry and Pharmacology, Columbia University Medical Center, New York State Psychiatric Institute, New York; the Department of Child Psychiatry, Faculty of Medicine, University of Turku, Turku, Finland; the Department of Child Psychiatry, Turku University Hospital, Turku, Finland; the National Institute for Health and Welfare, Oulu, Finland; the Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland; and the Departments of Biostatistics and Epidemiology, Columbia University Mailman School of Public Health, New York.
Susanna Hinkka-Yli-Salomäki, Ph.Lic.
From the Departments of Psychiatry and Pharmacology, Columbia University Medical Center, New York State Psychiatric Institute, New York; the Department of Child Psychiatry, Faculty of Medicine, University of Turku, Turku, Finland; the Department of Child Psychiatry, Turku University Hospital, Turku, Finland; the National Institute for Health and Welfare, Oulu, Finland; the Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland; and the Departments of Biostatistics and Epidemiology, Columbia University Mailman School of Public Health, New York.
Jaana Leiviskä, Ph.D.
From the Departments of Psychiatry and Pharmacology, Columbia University Medical Center, New York State Psychiatric Institute, New York; the Department of Child Psychiatry, Faculty of Medicine, University of Turku, Turku, Finland; the Department of Child Psychiatry, Turku University Hospital, Turku, Finland; the National Institute for Health and Welfare, Oulu, Finland; the Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland; and the Departments of Biostatistics and Epidemiology, Columbia University Mailman School of Public Health, New York.
Christoph Kellendonk, Ph.D.
From the Departments of Psychiatry and Pharmacology, Columbia University Medical Center, New York State Psychiatric Institute, New York; the Department of Child Psychiatry, Faculty of Medicine, University of Turku, Turku, Finland; the Department of Child Psychiatry, Turku University Hospital, Turku, Finland; the National Institute for Health and Welfare, Oulu, Finland; the Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland; and the Departments of Biostatistics and Epidemiology, Columbia University Mailman School of Public Health, New York.
Ian W. McKeague, Ph.D.
From the Departments of Psychiatry and Pharmacology, Columbia University Medical Center, New York State Psychiatric Institute, New York; the Department of Child Psychiatry, Faculty of Medicine, University of Turku, Turku, Finland; the Department of Child Psychiatry, Turku University Hospital, Turku, Finland; the National Institute for Health and Welfare, Oulu, Finland; the Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland; and the Departments of Biostatistics and Epidemiology, Columbia University Mailman School of Public Health, New York.
Alan S. Brown, M.D., M.P.H.
From the Departments of Psychiatry and Pharmacology, Columbia University Medical Center, New York State Psychiatric Institute, New York; the Department of Child Psychiatry, Faculty of Medicine, University of Turku, Turku, Finland; the Department of Child Psychiatry, Turku University Hospital, Turku, Finland; the National Institute for Health and Welfare, Oulu, Finland; the Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland; and the Departments of Biostatistics and Epidemiology, Columbia University Mailman School of Public Health, New York.

Notes

Address correspondence to Dr. Brown ([email protected]).

Funding Information

National Institute of Mental Health10.13039/100000025: T32 MH16434-31
National institute of Health and Medical Research10.13039/501100001677: R01 MH082052-05
: K02 MH065422-09
Dr. Kellendonk has received research support from Forest. All other authors report no financial relationships with commercial interests.Supported by grants R01 MH-082052-05 and K02 MH-065422-09 (to Dr. Brown) from NIMH and the State Research Institute and grant T32 MH-16434-31 (to Dr. Canetta) from NIMH and the Sackler Institute Fellowship.

Metrics & Citations

Metrics

Citations

Export Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

For more information or tips please see 'Downloading to a citation manager' in the Help menu.

Format
Citation style
Style
Copy to clipboard

View Options

View options

PDF/EPUB

View PDF/EPUB

Login options

Already a subscriber? Access your subscription through your login credentials or your institution for full access to this article.

Personal login Institutional Login Open Athens login
Purchase Options

Purchase this article to access the full text.

PPV Articles - American Journal of Psychiatry

PPV Articles - American Journal of Psychiatry

Not a subscriber?

Subscribe Now / Learn More

PsychiatryOnline subscription options offer access to the DSM-5-TR® library, books, journals, CME, and patient resources. This all-in-one virtual library provides psychiatrists and mental health professionals with key resources for diagnosis, treatment, research, and professional development.

Need more help? PsychiatryOnline Customer Service may be reached by emailing [email protected] or by calling 800-368-5777 (in the U.S.) or 703-907-7322 (outside the U.S.).

Media

Figures

Other

Tables

Share

Share

Share article link

Share