@article{fdi:010077199,
  title = {{M}ass spectrometry-based proteomic techniques to identify cerebrospinal fluid biomarkers for diagnosing suspected central nervous system infections : a systematic review},
  author = {{B}harucha, {T}. and {G}angadharan, {B}. and {K}umar, {A}. and de {L}amballerie, {X}. and {N}ewton, {P}. {N}. and {W}interberg, {M}. and {D}ubot {P}{\'e}r{\`e}s, {A}udrey and {Z}itzmann, {N}.},
  editor = {},
  language = {{ENG}},
  abstract = {{O}bjectives: {C}entral nervous system ({CNS}) infections account for considerable death and disability every year. {A}n urgent research priority is scaling up diagnostic capacity, and introduction of point-of-care tests. {W}e set out to assess current evidence for the application of mass spectrometry ({MS}) peptide sequencing in identification of diagnostic biomarkers for {CNS} infections. {M}ethods: {W}e performed a systematic review ({PROSPERO}-{CRD}42018104257) using {PRISMA} guidelines on use of {MS} to identify cerebrospinal fluid ({CSF}) biomarkers for diagnosing {CNS} infections. {W}e searched {P}ub{M}ed, {E}mbase, {W}eb of {S}cience, and {C}ochrane for articles published from 1 {J}anuary 2000 to 1 {F}ebruary 2019, and contacted experts. {I}nclusion criteria involved primary research except case reports, on the diagnosis of infectious diseases except {HIV}, applying {MS} to human {CSF} samples, and {E}nglish language. {R}esults: 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. 6 studies performed further work termed verification or validation. {I}n 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. {C}onclusions: {T}he findings demonstrate feasibility and 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.},
  keywords = {{N}eurological infections ; {D}iagnosis ; {M}ass spectrometry ; {B}iomarkers ; {P}roteomics},
  booktitle = {},
  journal = {{J}ournal of {I}nfection},
  volume = {79},
  numero = {5},
  pages = {407--418},
  ISSN = {0163-4453},
  year = {2019},
  DOI = {10.1016/j.jinf.2019.08.005},
  URL = {https://www.documentation.ird.fr/hor/fdi:010077199},
}