Mass spectrometry-based proteomic techniques to identify cerebrospinal fluid biomarkers for diagnosing suspected central nervous system infections. A systematic review.
<p><strong>Objectives:</strong> 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 cu...
| Main Authors: | , , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Elsevier
2019
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| _version_ | 1797075539455901696 |
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| author | Bharucha, T Gangadharan, B Kumar, A De Lamballerie, X Newton, P Winterberg, M Dubot-Pérès, A Zitzmann, N |
| author_facet | Bharucha, T Gangadharan, B Kumar, A De Lamballerie, X Newton, P Winterberg, M Dubot-Pérès, A Zitzmann, N |
| author_sort | Bharucha, T |
| collection | OXFORD |
| description | <p><strong>Objectives:</strong> 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.</p> <p><strong>Methods:</strong> 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.</p> <p><strong>Results:</strong> 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.</p> <p><strong>Conclusions:</strong> 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.</p> |
| first_indexed | 2024-03-06T23:51:43Z |
| format | Journal article |
| id | oxford-uuid:72d68f4a-a703-44de-ad14-998fe38bbc2b |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T23:51:43Z |
| publishDate | 2019 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:72d68f4a-a703-44de-ad14-998fe38bbc2b2022-03-26T19:52:38ZMass spectrometry-based proteomic techniques to identify cerebrospinal fluid biomarkers for diagnosing suspected central nervous system infections. A systematic review.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:72d68f4a-a703-44de-ad14-998fe38bbc2bEnglishSymplectic Elements at OxfordElsevier2019Bharucha, TGangadharan, BKumar, ADe Lamballerie, XNewton, PWinterberg, MDubot-Pérès, AZitzmann, N<p><strong>Objectives:</strong> 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.</p> <p><strong>Methods:</strong> 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.</p> <p><strong>Results:</strong> 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.</p> <p><strong>Conclusions:</strong> 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.</p> |
| spellingShingle | Bharucha, T Gangadharan, B Kumar, A De Lamballerie, X Newton, P Winterberg, M Dubot-Pérès, A Zitzmann, N Mass spectrometry-based proteomic techniques to identify cerebrospinal fluid biomarkers for diagnosing suspected central nervous system infections. A systematic review. |
| title | Mass spectrometry-based proteomic techniques to identify cerebrospinal fluid biomarkers for diagnosing suspected central nervous system infections. A systematic review. |
| title_full | Mass spectrometry-based proteomic techniques to identify cerebrospinal fluid biomarkers for diagnosing suspected central nervous system infections. A systematic review. |
| title_fullStr | Mass spectrometry-based proteomic techniques to identify cerebrospinal fluid biomarkers for diagnosing suspected central nervous system infections. A systematic review. |
| title_full_unstemmed | Mass spectrometry-based proteomic techniques to identify cerebrospinal fluid biomarkers for diagnosing suspected central nervous system infections. A systematic review. |
| title_short | Mass spectrometry-based proteomic techniques to identify cerebrospinal fluid biomarkers for diagnosing suspected central nervous system infections. A systematic review. |
| title_sort | mass spectrometry based proteomic techniques to identify cerebrospinal fluid biomarkers for diagnosing suspected central nervous system infections a systematic review |
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