Dataset Information

CSF quantitative proteomics reveals potential diagnostic biomarker of pediatric bacterial meningitis

ABSTRACT: In this study, we performed label-free based CSF quantitative proteomics to identify and analyze the differentially expressed proteins among bacterial meningitis, viral meningitis and hospital controls (children with benign intracranial hypertension). Compared with viral meningitis and hospital controls, we screened 135 differentially expressed proteins to distinguish bacterial meningitis from viral meningitis and controls. Among of them, 69 proteins as potential biomarkers for the diagnosis of bacterial meningitis, including both novel and previously reported candidate protein markers.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cerebrospinal Fluid

SUBMITTER: Ting Luo

LAB HEAD: Liping Li

PROVIDER: PXD026663 | Pride | 2022-05-20

REPOSITORIES: Pride

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Publications

Quantitative proteomic analysis of cerebrospinal fluid reveals CD163, A2M and full-length APP as potential diagnostic biomarkers of paediatric bacterial meningitis.

Luo Ting T Yang Sai S Chen Yan Y Liu Shulei S Yang Liming L Hu Nanfei N Ma Ye Y Qiu Jun J Wang Kewei K Li Liping L Tan Lihong L

Proteome science 20220506 1

<h4>Background</h4>Bacterial meningitis (BM) is a life-threatening infectious disease of the central nervous system in infants and children. To date, no diagnostic methods for the early and precise diagnosis of paediatric BM have been developed.<h4>Methods</h4>A label-free cerebrospinal fluid (CSF) quantitative proteomic analysis of 8 patients with confirmed or suspected BM, 9 patients with confirmed or suspected viral meningitis (VM) and 6 non-CNS-infected hospital patients was performed via hi ...[more]

PMID: 35524265

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Project description:Meningitis is a complex disease which can be caused by infection with either viral or bacterial pathogens. Viral meningitis is usually a sterile self-limiting disease with a good clinical prognosis, while bacterial meningitis is a potentially more serious disease with a higher mortality rate. Early diagnosis of bacterial meningitis is of paramount importance, as intervention with antimicrobial therapy increases the likelihood of a favourable clinical outcome. Routine diagnosis in many laboratories is still dependent to some degree on traditional methods e.g. culture, though molecular methods have been developed which can give a shorter time to diagnosis. However, there is not as yet a single test format that can detect all bacterial pathogens capable of causing meningitis. In addition, many tests e.g. real-time PCR have a finite limit for multiplexing and do not provide additional information such as strain or serogroup which is useful during outbreaks and for retrospective epidemiological surveillance. To this end we have developed a microarray probe set for detection of meningitis-associated bacterial pathogens including those in the N. meningitidis serogroups. Here we demonstrate utility of this array in specific detection of represented bacterial species and strains and in detection of pathogen signals in cerebrospinal fluid samples from patients with suspected bacterial meningitis. This method shows promise for development as a diagnostic tool; however, we discuss the technical issues encountered and suggest mechanisms to improve resolution of pathogen-specific signals in complex clinical samples. We designed as part of a larger pan-pathogen microarray a sub-set of probes to meningitis-associated bacterial pathogens. We present here data confirming the pathogen-specificity of many of these probes and their potential use in clinical diagnosis through testing on a small number of patient clinical samples using human DNA and no added nucleic acid controls. These data are from single channel Cy3-labelled nucleic acids. Four technical replicates for each feature are included on the array.

Project description:Meningitis is a life-threatening condition characterized by the inflammation of the leptomeningeal membranes surrounding the brain and spinal cord. The term meningitis is an umbrella term and includes several different etiologies. The majorities of meningitis cases are caused by viruses (viral meningitis; VM) and are often associated with low mortality rates and low risk of developing neurological. In contrast, meningitis caused by some viral infections, such as tick-borne encephalitis (TBE), can be life-threatening when left untreated with increased risk of developing neurological sequelae. Acute bacterial meningitis (ABM), however, is one of the leading causes of death due to infectious diseases worldwide and is associated with rapid disease progression, high mortality rates and increased risk of long-term neurological sequelae in survivors. As meningitis is caused by numerous different pathogens, the host-response is typically highly variable and it is currently unknown if different pathogens can introduce specific proteome changes in the cerebrospinal fluid (CSF). In this study we applied DIA-MS to provide novel insights for in-depth understanding of central nervous system functioning and host response during meningitis in a cohort of patients with differential diagnosis of meningitis, to account for variability contributed by different disease-causing pathogens. The results reveal drastic changes in the CSF proteome during meningitis, where in particular a massive increase of neutrophil derived proteins in the CSF correlated with ABM, suggesting that activated neutrophils play a particular role in ABM. Additionally both ABM and VM result in marked reduction of brain-specific proteins in the CSF, which could be indicative of pathophysiological mechanisms leading to brain damage. Furthermore, generation of lasso regression model enables separation of ABM with high sensitivity and specificity, demonstrating that several proteins are required to confidently discriminate between ABM, VM and BM.

Project description:Background Mortality from bacterial meningitis, predominately caused by Streptococcus pneumoniae, exceeds 50% in low and middle income countries in sub-Saharan Africa with high HIV prevalence. Underlying causes of high mortality are poorly understood. We examined the host and pathogen proteome in adults with proven pneumococcal meningitis (PM), testing if differentially expressed proteins in CSF were implicated in outcome. Materials/methods CSF proteomes were analysed by quantitative Mass-Spectrometry. Spectra were identified using the Swissprot human and TIGR4 pneumococcal protein libraries. Proteins were quantitated and analysed against clinical outcome. Unique proteins in PM were identified against published normal CSF proteome. Random-Forest models were used to test for protein signatures discriminating outcome. Proteins of interest were tested for their effects on growth and opsonophagocytic killing of S. pneumoniae. Results CSF proteomes were available for 57 Adults with PM (median age 32 years, 60% male, 70% HIV-1 co-infected, mortality 63%). 360 individual human and 23 pneumococcal proteins were identified. Of the human protein hits, 30% were not expressed in normal CSF, and these were strongly associated with inflammation and primarily related to neutrophil activity. No human protein signature predicted outcome. However, expression of the essential S. pneumoniae protein Elongation Factor Tu (EF-Tu) was significantly increased in CSF of non-survivors (False Discovery Rate (q) <0.001). Expression of EF-Tu was negatively co-correlated against expression of Neutrophil defensin (r 0.4 p p<0.002), but not against complement proteins C3 or Factor H. In vitro, addition of EF-Tu protein impaired S. pneumoniae neutrophil killing when osponised with CSF. Conclusions Excessive CSF levels of S. pneumoniae EF-Tu protein was associated with reduced survival in human meningitis. Preliminary studies show EF-Tu inhibits neutrophil mediated killing of S. pneumoniae in CSF. Further functional studies are required to better understand the mechanistic role of EF-Tu during PM.

Dataset Information

CSF quantitative proteomics reveals potential diagnostic biomarker of pediatric bacterial meningitis

Publications

Quantitative proteomic analysis of cerebrospinal fluid reveals CD163, A2M and full-length APP as potential diagnostic biomarkers of paediatric bacterial meningitis.

Similar Datasets

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