Publication: Diagnosing Balamuthia mandrillaris encephalitis with metagenomic deep sequencing
Program
KU-Authors
KU Authors
Co-Authors
Wilson, Michael R.
Shanbhag, Niraj M.
Reid, Michael J.
Singhal, Neel S.
Gelfand, Jeffrey M.
Sample, Hannah A.
O'Donovan, Brian D.
Ali, Ibne K. M.
Keating, M. Kelly
Dunnebacke, Thelma H.
Publication Date
Language
Type
Embargo Status
Journal Title
Journal ISSN
Volume Title
Alternative Title
Abstract
Objective:Identification of a particular cause of meningoencephalitis can be challenging owing to the myriad bacteria, viruses, fungi, and parasites that can produce overlapping clinical phenotypes, frequently delaying diagnosis and therapy. Metagenomic deep sequencing (MDS) approaches to infectious disease diagnostics are known for their ability to identify unusual or novel viruses and thus are well suited for investigating possible etiologies of meningoencephalitis. Methods: We present the case of a 74-year-old woman with endophthalmitis followed by meningoencephalitis. MDS of her cerebrospinal fluid (CSF) was performed to identify an infectious agent. Results: Sequences aligning to Balamuthia mandrillaris ribosomal RNA genes were identified in the CSF by MDS. Polymerase chain reaction subsequently confirmed the presence of B. mandrillaris in CSF, brain tissue, and vitreous fluid from the patient's infected eye. B. mandrillaris serology and immuno histo chemistry for free-living amoebas on the brain biopsy tissue were positive. InterpretationThe diagnosis was made using MDS after the patient had been hospitalized for several weeks and subjected to costly and invasive testing. MDS is a powerful diagnostic tool with the potential for rapid and unbiased pathogen identification leading to early therapeutic targeting. Ann Neurol 2015;78:Ann Neurol 2015;78:679-696
Source
Publisher
Wiley
Subject
Clinical neurology, Neurosciences
Citation
Has Part
Source
Annals of Neurology
Book Series Title
Edition
DOI
10.1002/ana.24499