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Mammalian orthobornaviruses, such as Borna disease virus 1 (BoDV-1) and variegated squirrel bornavirus 1, are zoonotic pathogens that cause fatal encephalitis in humans. BoDV-2, another mammalian orthobornavirus with high genetic homology to BoDV-1, is believed to share the same geographical distribution as BoDV-1, indicating its potential risk to human health. However, due to the limited number of isolations, the virological characteristics of BoDV-2, such as pathogenicity and infectivity, remain largely unexplored. Here, we re-evaluated the whole-genome sequence of BoDV-2 and established a reverse genetics system to investigate its virological properties. Compared to the published reference sequence, we identified two nonsynonymous nucleotide substitutions in the large (L) gene, one of which was critical for restoring polymerase activity, enabling the successful recovery of recombinant BoDV-2 (rBoDV-2). Additionally, we identified two nonsynonymous single-nucleotide polymorphisms (SNPs) in the L gene and one in the phosphoprotein (P) gene. Substitution of these SNPs significantly enhanced the growth ability of rBoDV-2. Furthermore, our studies demonstrated that BoDV-2 does not induce superinfection exclusion in cells, allowing the persistence of low-fitness genome variants for an extended period of time. These findings help to characterize the virological properties of BoDV-2 and shed light on how bornaviruses maintain genetic diversity in infected cells.
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http://dx.doi.org/10.1038/s44298-025-00117-w | DOI Listing |
Aging Ment Health
September 2025
Department of Psychiatry, Golestan Hospital, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Objectives: Early detection of neuropsychiatric symptoms is critical for timely intervention in cognitive decline. Mild Behavioral Impairment (MBI) represents late-life behavioral changes preceding or accompanying neurodegenerative processes. This study aimed to translate, culturally adapt, and psychometrically validate the Persian version of the Mild Behavioral Impairment Checklist (MBI-C) in older Iranian adults.
View Article and Find Full Text PDFNat Commun
August 2025
Division of Structural Biology, Centre for Human Genetics, University of Oxford, Oxford, UK.
Borna disease virus 1 (BoDV-1) is a non-segmented RNA virus with one of the smallest known RNA virus genomes. BoDV-1 replicates in the nucleus of infected cells using a virally encoded polymerase complex composed of the large protein and phosphoprotein. Here, we present the BoDV-1 polymerase complex at resolutions up to 2.
View Article and Find Full Text PDFPLoS Pathog
August 2025
Department of Neuropathology, Pathology, Medical Faculty, University of Augsburg, Augsburg, Germany.
Borna disease virus 1 (BoDV-1) has long been recognized as a cause of fatal encephalitis in animals and was only recently identified as a zoonotic pathogen causing a similar disease in humans. This study provides the first comprehensive comparative analysis of BoDV-1-induced neuropathology in human and animal end hosts, including horses, sheep, and alpacas. Using immunohistochemical analyses, we investigated the topographical distribution of BoDV-1 and inflammatory responses in the central nervous system across 19 cases.
View Article and Find Full Text PDFInfect Genet Evol
July 2025
Center for Virology, Medical University Vienna, 1090 Vienna, Austria.
Background: Borna disease virus 1 (BoDV-1) is a zoonotic virus with a recently confirmed potential to cause rare but severe cases of encephalitis in humans. While the bicolored white-toothed shrew (Crocidura leucodon), which represents the reservoir, is widely distributed over eastern, central, and southern Europe as well as south-west Asia, human infections have so far only been reported from Germany. As infections in sentinels such as horses indicate the endemic circulation of the virus also in circumscribed regions of neighboring countries (Austria, Liechtenstein, Switzerland), we initiated a retrospective case-finding study to investigate whether there were so far undetected human infections in Austria.
View Article and Find Full Text PDFFront Physiol
July 2025
Fertility and Infertility Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
Introduction: Ovarian diseases, including Polycystic Ovary Syndrome (PCO) and Dominant Follicle irregularities, present significant diagnostic challenges in clinical practice. Traditional diagnostic methods, reliant on subjective ultrasound interpretation, often lead to variability in accuracy. Recent advancements in artificial intelligence (AI) and transfer learning offer promising opportunities to improve diagnostic consistency and accuracy in ovarian disease detection.
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