Peripheral blood RNA gene expression profiling in patients with bacterial meningitis
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ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Sulev Koks
PROVIDER: E-GEOD-40586 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:The aim of present study was to describe the genetic pathways activated during the community acquired bacterial meningitis (BM) by using genome-wide RNA expression profiling combined with functional annotation of transcriptional changes. We included 21 patients with BM hospitalized in 2008. The control group consisted of 18 healthy subjects. The RNA was extracted from whole blood, globin mRNA was depleted and gene expression profiling was performed with GeneChip Human Gene 1.0 ST Arrays enabling the analysis of 28,869 genes. Gene expression profile data were analyzed using Bioconductor packages and Bayesian modeling. Functional annotation of the enriched gene sets was used to define changed genetic networks. We also analyzed if the gene expression profile depends on the clinical course and outcome. In order to verify the genechip results, we chose ten functionally relevant genes with high statistical significance (CD177, IL1R2, IL18R1, IL18RAP, OLFM4, TLR5, CPA3, FCER1A, IL5RA, IL7R) and performed quantitative real-time (qRT) PCR.We identified the significant differences at p values of <0.05 in 8569 genes and after False Discovery Rate (FDR) correction, total of 5500 genes remained significant at p value of <0.01. Quantitative RT-PCR confirmed differential expression for selected genes. Functional annotation and network analysis indicated that most of the genes were related to activation of humoral and cellular immune responses (enrichment score 43). Those changes were found in adults and in children with BM compared to the healthy controls. Gene expression profile didn’t depend on the clinical outcome, but there was very strong influence by the type of the pathogen. This study demonstrates a strong functional genomic evidence of the over-active immune response during bacterial meningitis. This hyperactive response possibly explains the complicated clinical course of this disease.
2012-09-05 | GSE40586 | GEO
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.
2020-11-09 | PXD021268 | Pride
Project description:The aim of this work is to describe the transcriptomic changes underlying the complex mechanisms of the host response to pneumococcal meningitis in a temporal and spatial context. For this purpose we evaluated the gene expression profile of the two brain structures predominantly affected by brain damage i.e. the cortex and the hippocampus at four different stages of the disease (24-, 72-, 240- and 624 hours post infection) using an infant rat model. <br><br>The first two timepoints represent the acute and late disease phase of bacterial meningitis (BM) and 10 and 26days the recovery phase. At each timepoint 6 infected and 6 sham infected animals were sacrificed. Control and infected animals were age matched to avoid differences in the gene expression patterns due to developmental processes in the infant rat brain.
2010-02-24 | E-MEXP-1656 | biostudies-arrayexpress
Project description:Objectives: Central nervous system (CNS) infections are common causes of morbidity and mortality worldwide. We aimed to discover protein biomarkers that could rapidly and accurately identify the likely cause of the infections, essential for clinical management and improving outcome. Methods: We applied liquid chromatography tandem mass-spectrometry on 45 cerebrospinal fluid (CSF) samples from a cohort of adults with/without CNS infections to discover potential diagnostic biomarkers. We then validated the diagnostic performance of a selected biomarker candidate in an independent cohort of 364 consecutively treated adults with CNS infections admitted to a referral hospital in Vietnam. Results: In the discovery cohort, we identified lipocalin 2 (LCN2) as a potential biomarker of bacterial meningitis (BM) other than tuberculous meningitis. The analysis of the validation cohort showed that LCN2 could discriminate BM from other CNS infections (including tuberculous meningitis, cryptococcal meningitis and viral/antibody-mediated encephalitis), with the sensitivity: 0.88 (95% confident interval (CI): 0.77-0.94), the specificity: 0.91 (95%CI: 0.88-0.94) and the diagnostic odd ratio: 73.8 (95%CI: 31.8-171.4)). LCN2 outperformed other CSF markers (leukocytes, glucose, protein and lactate) commonly used in routine care worldwide. The combination of LCN2, CSF leukocytes, glucose, protein and lactate resulted in the highest diagnostic performance for BM (area under receiver-operating-characteristic-curve 0.96; 95%CI: 0.93-0.99). Conclusions: Our results suggest that LCN2 is a sensitive and specific biomarker for discriminating BM from a broad spectrum of other CNS infections. A prospective study is needed to assess the diagnostic utility of LCN2 in the diagnosis and management of CNS infections..
2020-08-20 | PXD020510 | Pride
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.
2011-07-20 | GSE30794 | GEO
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.
2011-07-19 | E-GEOD-30794 | biostudies-arrayexpress
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.
2021-04-12 | PXD023174 | Pride
Project description:A comparison of brain gene expression profiles in wildtype mice and interferon gamma -/- mice during bacterial meningitis.
2012-09-01 | E-MEXP-3697 | biostudies-arrayexpress
Project description:Background: Meningitis can be caused by several viruses and bacteria. Identifying the causative pathogen as quickly as possible is crucial to initiate the most optimal therapy, as acute bacterial meningitis is associated with a significant morbidity and mortality. Bacterial meningitis requires antibiotics, as opposed to enteroviral meningitis, which only requires supportive therapy. Clinical presentation is usually not sufficient to differentiate between viral and bacterial meningitis, thereby necessitating cerebrospinal fluid (CSF) analysis by PCR and/or time-consuming bacterial cultures. However, collecting CSF in children is not always feasible and a rather invasive procedure. Methods: In 12 Belgian hospitals, we obtained acute blood samples from children with signs of meningitis (49 viral and 7 bacterial cases). (aged between 3 months and 16 years). After pathogen confirmation on CSF, the patient was asked to give a convalescent sample after recovery. 3’mRNA sequencing was performed to determine differentially expressed genes (DEGs) to create a host transcriptomic profile. Results: Enteroviral meningitis cases displayed the largest upregulated fold change enrichment in type I interferon production, response and signaling pathways. Patients with bacterial meningitis showed a significant upregulation of genes related to macrophage and neutrophil activation. We found several significantly DEGs between enteroviral and bacterial meningitis. Random forest classification showed that we were able to differentiate enteroviral from bacterial meningitis with an AUC of 0.982 on held-out samples. Conclusions: Enteroviral meningitis has an innate immunity signature with type 1 interferons as key players. Our classifier, based on blood host transcriptomic profiles of different meningitis cases, is a possible strong alternative for diagnosing enteroviral meningitis.
2019-06-27 | GSE133378 | GEO
Project description:We applied genomic array footprinting (GAF) in the search for genes of S. pneumoniae essential during the establishment and progression of experimental meningitis. Four libraries with a total of 6,000 independent TIGR4 marinerT7 transposon mutants were injected intra-cisternally in rabbits, and cerebrospinal fluid (CSF) was collected after three, nine, and fifteen hours. Microarray analysis of mutant-specific probes from CSF samples and inocula identified 82 genes of which mutants had become attenuated and eleven genes of which mutants had become enriched during infection. Screening results particularly point to an essential role for capsular polysaccharides (cps), nutrient uptake, and metabolism in meningitis. Detailed study on directed mutants of a subset of sixteen GAF targets in an experimental model of rat meningitis revealed that ten were significantly attenuated or enriched during competitive infection. Furthermore, we showed that mutants of adenylosuccinate synthetase (purA), flavodoxin (fld), and the substrate binding protein (livJ) of a branched chain amino acid ABC-transporter were essential for full blown meningitis in a mono-infection setup of rat meningitis. Overall, the GAF screen revealed the general restraint on nutrients encountered by the pneumococcus in CSF, while, except for cps genes, no ‘classic’ virulence factors appeared to be required for infection. This knowledge will contribute to a better understanding of the molecular pathogenesis of pneumococcal meningitis. The rabbit meningitis model was performed as previously described by Østergaard (PMID: 9661008 ). Briefly, 10E6 CFU of a S. pneumoniae mutant library was suspended in 20 µl beef-broth and injected into cisterna magna of four groups of four outbred New Zealand White rabbits of app. 2.5 kg (in one group one rabbit died). CSF (0.3 ml) samples were repeatedly obtained from the same rabbit by aspiration from indwelling spinal- and arterial cannules. Samples were collected before pleocytosis developed (three hrs), at the time of maximal pleocytosis (nine hrs), and at a time of slowing bacterial growth and abating pleocytosis (fifteen hrs ). Until further processing in the GAF protocol, CSF and inocula were stored with 15% glycerol at -80ºC. The GAF technology was performed as described previously (PMID: 17261526 ). Briefly, stored inocula and CSF obtained during the experimental rabbit meningitis experiments were defrosted, diluted in GM17 medium supplemented with spectinomycin, and grown to mid-log phase. Chromosomal DNA was isolated, digested with AluI endonuclease, and used as a template for in vitro transcription initiated from the T7 promoters of the marinerT7 transposon that is present in each mutant. After removal of template DNA by DNAseI treatment, mutant-specific T7 RNA was reverse transcribed in the presence of fluorescent Cy3/Cy5-labeled dUTP nucleotides. Labeled Cy3/Cy5-cDNA from the CSF samples and oppositely labeled Cy5/Cy3 cDNA from the inocula were combined, purified, and washed by ultrafiltration. The cDNA was hybridized to pneumococcal microarrays containing, 2,087 ORFs of Streptococcus pneumoniae TIGR4 and 70-mer oligo's specific for the non-homologous ORFs in the R6, D39, 23F, INV104B, INV200, OXC141, and G54 strains, all spotted in duplicate (PMID: 18174343) . Dual channel array images were acquired on a GenePix 4200AL microarray scanner (Axon Instruments, Union City, CA). Microarray image files were analyzed with GenePix Pro software (Axon Instruments, Union City, CA). Spots were screened visually to identify those of low quality and removed from the data set prior to analysis. A net mean intensity filter based on hybridization signals obtained with R6-specific spots was applied in all experiments. Slide data were processed and normalized using MicroPreP (PMID: 15907200). Further analysis was performed using a CyberT implementation of the Student’s t test (cybert.microarray.ics.uci.edu). This web-based program lists the ratios of all intra-replicates (duplicate spots) and inter-replicates (different slides), the mean ratios per gene, and standard deviations and (Bayesian) p values assigned to the mean ratios. For identification of conditionally essential genes, only genes with a minimum of 6/8 (for groups of four rabbits) or 5/6 for the group of three rabbits) reliable measurements and a Bayesian p-value < 0.001 were included. Further selection criteria were applied, as only mutants displaying an average fold-change of >2.5 at a minimum of two time-points, or >4.0 at one time-point were accepted as significantly attenuated or enriched. The microarray data have been deposited in the NCBI Gene Expression Omnibus (GEO) database (www.ncbi.nlm.nih.gov/geo/) under GEO Series accession number ...
2010-11-16 | E-GEOD-21729 | biostudies-arrayexpress