scholarly journals Hepatitis E Virus–Associated Meningoencephalitis in a Lung Transplant Recipient Diagnosed by Clinical Metagenomic Sequencing

2017 ◽  
Vol 4 (3) ◽  
Author(s):  
Jamie A. Murkey ◽  
Kara W. Chew ◽  
Margrit Carlson ◽  
Chelsea L. Shannon ◽  
Deepika Sirohi ◽  
...  

Abstract Hepatitis E virus (HEV) infection uncommonly causes chronic hepatitis and neurologic disease. We describe a case of genotype 3a HEV meningoencephalitis diagnosed by metagenomic next-generation sequencing, illustrating the power of an unbiased molecular approach to microbial testing and the first reported case of HEV infection presumably acquired through lung transplantation.

2018 ◽  
Vol 56 (5) ◽  
Author(s):  
Bo Wang ◽  
Dominik Harms ◽  
C. Patrick Papp ◽  
Sandra Niendorf ◽  
Sonja Jacobsen ◽  
...  

ABSTRACT Autochthonous hepatitis E virus genotype 3 (HEV-3) infections in industrialized countries are more frequent than previously assumed. HEV-3 is zoonotic and the causal pathogen of chronic hepatitis E. According to the latest classification of the family Hepeviridae , 10 designated HEV-3 subtypes (HEV-3a to HEV-3j) and 7 unassigned HEV-3 subtypes are proposed. In order to identify and characterize the HEV-3 variants in circulation, we developed a molecular approach combining a sensitive HEV-specific real-time reverse transcription-PCR (RT-PCR) targeting the overlapping region of HEV ORF2 and ORF3 (the ORF2/3 region) and two newly designed consensus nested RT-PCRs targeting the HEV ORF1 and ORF2 genes, respectively. Since complete genome sequences are required for new HEV-3 subtype assignment, we implemented a straightforward approach for full-length HEV-3 genome amplification. Twenty-nine human serum samples and six human feces samples from chronic hepatitis E patients were selected for evaluation of the system. Viral loads ranged from 1 × 10 4 to 1.9 × 10 10 copies/ml of serum and from 1.8 × 10 4 to 1 × 10 12 copies/g of feces. Sequence and phylogenetic analyses of partial ORF1 and ORF2 sequences showed that HEV strains had considerable genetic diversity and clustered into the HEV-3c (29/35), HEV-3e (2/35), HEV-3f (2/35), and unassigned HEV-3 (2/35) subtypes. Moreover, from these strains, three full-length HEV-3 genome sequences were generated and characterized. DE/15-0030 represents a typical HEV-3c strain (95.7% nucleotide identity to wbGER27), while DE/15-0031 and SW/16-0282 have <89.2% homology to known HEV-3 strains and are phylogenetically divergent, indicating novel HEV-3 subtypes. In summary, our approach will significantly facilitate the detection, quantification, and determination of HEV-3 strains and will thus help to improve molecular diagnostics and our knowledge of HEV diversity and evolution.


2012 ◽  
Vol 31 (4) ◽  
pp. S143
Author(s):  
H.Y. van der Weide ◽  
E.B. Haagsma ◽  
B.G.M. Niesters ◽  
A. Riezebos-Brilman ◽  
E.A.M. Verschuuren

2019 ◽  
Vol 64 (1) ◽  
Author(s):  
Florian Gerhardt ◽  
Melanie Maier ◽  
U. G. Liebert ◽  
Uwe Platzbecker ◽  
Song-Yau Wang ◽  
...  

2014 ◽  
Vol 16 (2) ◽  
pp. 333-339 ◽  
Author(s):  
S. Pischke ◽  
M. Greer ◽  
S. Hardtke ◽  
B. Bremer ◽  
A. Gisa ◽  
...  

Author(s):  
Nanda Ramchandar ◽  
Nicole G Coufal ◽  
Anna S Warden ◽  
Benjamin Briggs ◽  
Toni Schwarz ◽  
...  

Abstract Background Pediatric central nervous system (CNS) infections are potentially life-threatening and may incur significant morbidity. Identifying a pathogen is important, both in terms of guiding therapeutic management, but also in characterizing prognosis. Usual care testing by culture and PCR is often unable to identify a pathogen. We examined the systematic application of metagenomic next-generation sequencing (mNGS) for detecting organisms and transcriptomic analysis of cerebrospinal fluid (CSF) in children with CNS infections. Methods We conducted a prospective multi-site study that aimed to enroll all children with a CSF pleocytosis and suspected CNS infection admitted to one of three tertiary pediatric hospitals during the study timeframe. After usual care testing had been performed, the remaining CSF was sent for mNGS and transcriptomic analysis. Results We screened 221 and enrolled 70 subjects over a 12-month recruitment period. A putative organism was isolated from CSF in 25 (35.7%) subjects by any diagnostic modality. mNGS of the CSF samples identified a pathogen in 20 (28.6%) subjects, which were also all identified by usual care testing. The median time to result was 38 hours. Conclusion Metagenomic sequencing of CSF has the potential to rapidly identify pathogens in children with CNS infections.


2018 ◽  
Vol 22 (2) ◽  
pp. 85-91 ◽  
Author(s):  
Guilherme Bricks ◽  
Jorge Figueiredo Senise ◽  
Henrique Pott Junior ◽  
Giuliano Grandi ◽  
Amanda Passarini ◽  
...  

Hepatology ◽  
2014 ◽  
Vol 60 (3) ◽  
pp. 1112-1113 ◽  
Author(s):  
Christoph Höner zu Siederdissen ◽  
Sven Pischke ◽  
Jerome Schlue ◽  
Katja Deterding ◽  
Timo Hellms ◽  
...  

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