4.7 Article

Diagnosing Balamuthia mandrillaris Encephalitis With Metagenomic Deep Sequencing

Journal

ANNALS OF NEUROLOGY
Volume 78, Issue 5, Pages 722-730

Publisher

WILEY-BLACKWELL
DOI: 10.1002/ana.24499

Keywords

-

Funding

  1. American Brain Foundation Clinical Research Training Fellowship
  2. Howard Hughes Medical Institute
  3. National Center for Advancing Translational Sciences of the NIH [KL2TR000143]

Ask authors/readers for more resources

ObjectiveIdentification 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. MethodsWe 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. ResultsSequences 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 immunohistochemistry 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

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available