Mass spectrometry-based proteomic techniques to identify cerebrospinal fluid biomarkers for diagnosing suspected central nervous system infections. A systematic review.

Journal article

Objectives: Central nervous system (CNS) infections account for a large number of disability-adjusted life years worldwide every year. An urgent research priority is scaling up diagnostic capacity, and introduction of point-of-care tests. We set out to assess current evidence for the application of mass spectrometry (MS) peptide sequencing in identification of diagnostic biomarkers for CNS infections.

Methods: We performed a systematic review (PROSPERO-CRD42018104257) usingPRISMA guidelines on use of MS to identify cerebrospinal fluid (CSF) biomarkers for diagnosing CNS infections. We searched PubMed, Embase, Web of Science, and Cochrane for articles published from 1 January 2000 to 1 February 2019, and contacted experts. Inclusion criteria involved primary research except case reports, on the diagnosis of infectious diseases except HIV, applying MS to human CSF samples, and English language.

Results: 4,620 papers were identified, of which 11 were included, largely confined to pre-clinical biomarker discovery, and eight (73%) published in the last five years. 6studies performed further work termed verification or validation. In 2 of these studies, it was possible to extract data on sensitivity and specificity of the biomarkers detected by ELISA, ranging from 89-94% and 58-92% respectively.

Conclusions: The findings demonstrate feasibility and significant potential of the methods in a variety of infectious diseases, but emphasise the need for strong interdisciplinary collaborations to ensure appropriate study design and biomarker validation.

Authors: Bharucha, T; Gangadharan, B; Kumar, A; De Lamballerie, X; Newton, P

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Elsevier
• Journal: Journal of Infection
• Publication date: 2019-08-09
• Acceptance date: 2019-08-05
• DOI: 10.1016/j.jinf.2019.08.005
• EISSN: 1532-2742
• ISSN: 0163-4453
• Language: English
• Keywords: mass spectrometry; diagnosis; neurological infections; biomarkers; proteomics