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Effects of Two Commonly Found Strains of Influenza A Virus on Developing Dopaminergic Neurons, in Relation to the Pathophysiology of Schizophrenia

Overview of attention for article published in PLOS ONE, December 2012
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Title
Effects of Two Commonly Found Strains of Influenza A Virus on Developing Dopaminergic Neurons, in Relation to the Pathophysiology of Schizophrenia
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0051068
Pubmed ID
Authors

Fernando Landreau, Pablo Galeano, Laura R. Caltana, Luis Masciotra, Agustín Chertcoff, A. Pontoriero, Elsa Baumeister, Marcela Amoroso, Herminia A. Brusco, Mónica I. Tous, Vilma L. Savy, María del Rosario Lores Arnaiz, Gabriel A. de Erausquin

Abstract

Influenza virus (InfV) infection during pregnancy is a known risk factor for neurodevelopment abnormalities in the offspring, including the risk of schizophrenia, and has been shown to result in an abnormal behavioral phenotype in mice. However, previous reports have concentrated on neuroadapted influenza strains, whereas increased schizophrenia risk is associated with common respiratory InfV. In addition, no specific mechanism has been proposed for the actions of maternal infection on the developing brain that could account for schizophrenia risk. We identified two common isolates from the community with antigenic configurations H3N2 and H1N1 and compared their effects on developing brain with a mouse modified-strain A/WSN/33 specifically on the developing of dopaminergic neurons. We found that H1N1 InfV have high affinity for dopaminergic neurons in vitro, leading to nuclear factor kappa B activation and apoptosis. Furthermore, prenatal infection of mothers with the same strains results in loss of dopaminergic neurons in the offspring, and in an abnormal behavioral phenotype. We propose that the well-known contribution of InfV to risk of schizophrenia during development may involve a similar specific mechanism and discuss evidence from the literature in relation to this hypothesis.

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The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 17%
Student > Ph. D. Student 10 15%
Researcher 9 14%
Student > Bachelor 8 12%
Student > Doctoral Student 3 5%
Other 8 12%
Unknown 16 25%
Readers by discipline Count As %
Medicine and Dentistry 10 15%
Biochemistry, Genetics and Molecular Biology 8 12%
Neuroscience 7 11%
Agricultural and Biological Sciences 7 11%
Psychology 5 8%
Other 9 14%
Unknown 19 29%