scholarly journals Epidemiological and Serological Investigation into the Role of Gestational Maternal Influenza Virus Infection and Autism Spectrum Disorders

mSphere ◽  
2017 ◽  
Vol 2 (3) ◽  
Author(s):  
Milada Mahic ◽  
Xiaoyu Che ◽  
Ezra Susser ◽  
Bruce Levin ◽  
Ted Reichborn-Kjennerud ◽  
...  

ABSTRACT The causes of most cases of autism spectrum disorders (ASD) are unknown. Some epidemiological studies suggest that maternal gestational influenza virus infection may increase the risk of ASD in offspring. Here, we describe an analysis of a large birth cohort with results based on questionnaires that prospectively addressed subjective reports of influenza-like illness and serological assays for objective determination of influenza virus infection. Although serologic evidence of gestational influenza virus infection alone was not associated with risk, positive serology and symptoms of influenza-like illness cannot yet be definitely ruled out as a risk factor. The literature concerning gestational maternal influenza virus infection and risk of autism spectrum disorders (ASD) is inconclusive. To address this uncertainty, we obtained information from questionnaires and samples from the Autism Birth Cohort, a prospective birth cohort comprising mothers, fathers, and offspring recruited in Norway in 1999 to 2008. Through questionnaires, referrals, and linkages to the Norwegian National Patient Registry, we identified 338 mothers of children with ASD and 348 frequency-matched controls for whom plasma samples that had been collected midpregnancy and after delivery were available for influenza virus serology via luciferase immunoprecipitation and hemagglutinin inhibition assays for influenza virus strains circulating during the study period. Assay data were combined to define serological status and integrated with self-reports of influenza-like illness to estimate ASD risk. Neither influenza A nor influenza B virus infection was associated with increased ASD risk. Integration of reports of symptoms of influenza-like illness with serology revealed an increase in risk for seropositive women with symptoms, but this increase did not achieve statistical significance (a level of P < 0.05) in the comparison with seronegative women without symptoms (adjusted odds ratio, 1.93; 95% confidence interval, 0.95 to 3.89; P = 0.068). Although chance may explain our findings, the magnitude of the potential association may be of biological importance, and dismissing our findings could result in failure to detect a bona fide association (type II error). If the association is true, we posit that the risk is due to activation of the maternal immune system following infection rather than direct fetal infection. Data on levels of cytokines or other mediators of inflammation would allow us to test the validity of this hypothesis. IMPORTANCE The causes of most cases of autism spectrum disorders (ASD) are unknown. Some epidemiological studies suggest that maternal gestational influenza virus infection may increase the risk of ASD in offspring. Here, we describe an analysis of a large birth cohort with results based on questionnaires that prospectively addressed subjective reports of influenza-like illness and serological assays for objective determination of influenza virus infection. Although serologic evidence of gestational influenza virus infection alone was not associated with risk, positive serology and symptoms of influenza-like illness cannot yet be definitely ruled out as a risk factor.

Autism ◽  
2017 ◽  
Vol 22 (3) ◽  
pp. 377-384 ◽  
Author(s):  
For-Wey Lung ◽  
Tung-Liang Chiang ◽  
Shio-Jean Lin ◽  
Meng-Chih Lee ◽  
Bih-Ching Shu

The use of assisted reproduction technology has increased over the last two decades. Autism spectrum disorders and assisted reproduction technology share many risk factors. However, previous studies on the association between autism spectrum disorders and assisted reproduction technology have shown inconsistent results. The purpose of this study was to investigate the association between assisted reproduction technology and autism spectrum disorder diagnosis in a national birth cohort database. Furthermore, the results from the assisted reproduction technology and autism spectrum disorder propensity score matching exact matched datasets were compared. For this study, the 6- and 66-month Taiwan Birth Cohort Study datasets were used (N = 20,095). In all, 744 families were propensity score matching exact matched and selected as the assisted reproduction technology sample (ratio of assisted reproduction technology to controls: 1:2) and 415 families as the autism spectrum disorder sample (ratio of autism spectrum disorder to controls: 1:4). Using a national birth cohort dataset, controlling for the confounding factors of assisted reproduction technology conception and autism spectrum disorder diagnosis, both assisted reproduction technology and autism spectrum disorder propensity score matching matched datasets showed the same results of no association between assisted reproduction technology and autism spectrum disorder. Further study on the detailed information regarding the processes and methods of assisted reproduction technology may provide us with more information on the association between assisted reproduction technology and autism spectrum disorder.


2006 ◽  
Vol 27 (3) ◽  
pp. 266-270 ◽  
Author(s):  
Hilary M. Babcock ◽  
Liana R. Merz ◽  
Victoria J. Fraser

Background.Early recognition of influenza virus infection in hospitalized patients can prevent nosocomial transmission.Objective.To determine the clinical presentation of influenza in hospitalized patients.Design.Case series. Data were collected retrospectively from medical records and included demographic information, comorbidities, clinical symptoms and signs, microbiologic test results, and outcomes (including pneumonia and intensive care unit [ICU] admission).Setting.A 1,400-bed teaching hospital.Patients.A total of 207 inpatients who received a diagnosis of influenza virus infection during 3 seasons from 2000 to 2003.Results.Over the course of 3 seasons, 207 patients received a diagnosis of influenza (186 were infected with influenza A virus, and 21 were infected with influenza B virus). The most commonly reported symptoms were cough (186 patients [90%]) and subjective fever (137 patients [66%]); 124 patients (60%) had a documented temperature of 37.8°C or greater before influenza was diagnosed. Sore throat was uncommon (44 patients [21%]). Centers for Disease Control and Prevention (CDC) criteria for influenza-like illness (ILI)–temperature 37.8°C or greater and either cough or sore throat–were met by 107 patients (51%). There were no differences in the proportion of patients who met ILI criteria with respect to age, sex, season, influenza virus type, or time to diagnosis in the hospital. Most patients (150 [72%]) received acetaminophen. Only 41 patients (20%) had positive results of clinical cultures; 178 patients (86%) received antibiotic therapy. Fifty-six patients (27%) had pneumonia: 36 (17%) required admission to the ICU, and 25 (12%) required ventilatory support. Patients with pulmonary disease were more likely to require ventilatory support (12 [26%] vs 13 [8%]; P = .003).Conclusions.Only half of hospitalized patients with influenza met CDC criteria for ILI. These criteria may be more appropriate in outpatient settings. A high index of suspicion is needed to recognize influenza in hospitalized patients.


2012 ◽  
Vol 252 (1-2) ◽  
pp. 75-82 ◽  
Author(s):  
Morsi W. Abdallah ◽  
Nanna Larsen ◽  
Erik L. Mortensen ◽  
Hjördis Ó. Atladóttir ◽  
Bent Nørgaard-Pedersen ◽  
...  

Author(s):  
Morsi W. Abdallah ◽  
David M. Hougaard ◽  
Bent N�rgaard-Pedersen ◽  
Jakob Grove ◽  
Eva C. Bonefeld-J�rgensen ◽  
...  

2011 ◽  
Vol 20 (11-12) ◽  
pp. 599-601 ◽  
Author(s):  
Morsi W. Abdallah ◽  
Kirstin Greaves-Lord ◽  
Jakob Grove ◽  
Bent Nørgaard-Pedersen ◽  
David M. Hougaard ◽  
...  

Cytokine ◽  
2013 ◽  
Vol 61 (2) ◽  
pp. 370-376 ◽  
Author(s):  
Morsi W. Abdallah ◽  
Nanna Larsen ◽  
Jakob Grove ◽  
Eva C. Bonefeld-Jørgensen ◽  
Bent Nørgaard-Pedersen ◽  
...  

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