Inuenza Virus and CNS Infections

Experimental Models of CNS Infections: Contributions to Concepts of Disease and Treatment

Neurologic Clinics ◽

10.1016/s0733-8619(18)30997-6 ◽

1986 ◽

Vol 4 (1) ◽

pp. 249-264 ◽

Cited By ~ 8

Author(s):

M.G. Täuber ◽

R.A. Brooks-Fournier ◽

M.A. Sande

Keyword(s):

Experimental Models ◽

Cns Infections ◽

Concepts Of Disease

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Mycoplasma pneumoniae as causative organism of childhood CNS Infections

Neuropediatrics ◽

10.1055/s-2008-1079460 ◽

2008 ◽

Vol 39 (01) ◽

Author(s):

H Brackmann ◽

H Morbach ◽

HM Strassburg ◽

B Winkler ◽

M Abele-Horn

Keyword(s):

Mycoplasma Pneumoniae ◽

Causative Organism ◽

Cns Infections

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Acute CNS infections – Expanding the spectrum of neurological manifestations of hepatitis E virus?

Journal of the Neurological Sciences ◽

10.1016/j.jns.2021.117387 ◽

2021 ◽

Vol 423 ◽

pp. 117387 ◽

Cited By ~ 1

Author(s):

Miriam Fritz-Weltin ◽

Nora Isenmann ◽

Estelle Frommherz ◽

Lisa Niedermeier ◽

Benedikt Csernalabics ◽

...

Keyword(s):

Hepatitis E Virus ◽

Hepatitis E ◽

Neurological Manifestations ◽

Cns Infections

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Metagenomic Next-Generation Sequencing for Pathogen Detection and Transcriptomic Analysis in Pediatric Central Nervous System Infections

Open Forum Infectious Diseases ◽

10.1093/ofid/ofab104 ◽

2021 ◽

Author(s):

Nanda Ramchandar ◽

Nicole G Coufal ◽

Anna S Warden ◽

Benjamin Briggs ◽

Toni Schwarz ◽

...

Keyword(s):

Central Nervous System ◽

Nervous System ◽

Next Generation Sequencing ◽

Usual Care ◽

Transcriptomic Analysis ◽

Cns Infection ◽

Metagenomic Sequencing ◽

Next Generation ◽

Cns Infections ◽

Generation Sequencing

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.

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