Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptomic biomarker pathways associated with death in HIV-infected patients with cryptococcal meningitis

ABSTRACT: Transcriptomic biomarker pathways associated with death in HIV-infected patients with cryptococcal meningitis

PROVIDER: PRJNA683803 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Transcriptomic biomarker pathways associated with death in HIV-infected patients with cryptococcal meningitis

Project description:to identify transcriptomic biomarker pathways in peripheral blood that are associated with or predict the development of death or fatal C-IRIS among patients with CM who were enrolled in the Cryptococcal Optimal ART Timing (COAT) Trial.

2021-03-01 | GSE162914 | GEO

Expression profiles of circRNAs in peripherial blood mononuclear cells from cryptococcal meningitis and healthy individuals.

Project description:CircRNAs are a recently well-known regulator that mediates a variety of biological processes. Cryptococcus neoformans is an environmental fungal pathogen that can cause fatal cryptococcal meningitis in immunocompromised individuals. However, the involvement of circRNA in cryptococcal infection remains unclear. In this study, high‐throughput microarray was performed to identify the circRNA expression profile in cryptococcal meningitis patients.

2020-12-07 | GSE159601 | GEO

Heteroresistance in cryptococcal meningitis

Project description:Single-end reads of serial isolates from cryptococcal meningitis cases

| PRJEB28390 | ENA

Quantitative proteomics of cryptococcal meningitis brain tissues

Project description:Quantitative proteomics of cryptococcal meningitis brain tissues and control brain tissues was carried out to study the host factors that are activated and differentially regulated in response to infection. Proteins isolated from infected brain tissues were subjected to trypsin digestion and then labeled using 4-plex iTRAQ labels. iTRAQ labeled peptides were subjected to fractionation by SCX. All the fractions were analyzed on the high resolution Orbitrap Velos mass spectrometer.

2015-07-22 | PXD000458 | Pride

Transcriptomic biomarker pathways associated with death in HIV-infected patients with cryptococcal meningitis.

Project description: Not available

| S-EPMC8052789 | biostudies-literature

Value of lipocalin 2 as a potential biomarker for bacterial meningitis

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

Tuberculous Meningitis in Pediatric Patients

Project description:Whole blood transcriptional profiles in children with or without tuberculous meningitis (TBM) were compared using RNA-Seq and a biomarker signature driven by inflammasome activation and signaling was identified

2019-08-06 | GSE111459 | GEO

Tuberculous Meningitis in Pediatric Patients [CSF]

Project description:Cerebrospinal fluid transcriptional profiles in children with tuberculous meningitis (TBM) or other infections were compared using RNA-Seq and a biomarker signature driven by NMDA-receptor activation was identified

2019-08-06 | GSE122377 | GEO

Gene Expression Profiling of Tuberculous Meningitis coinfected with HIV

2012-12-31 | GSE29507 | GEO

Gene Expression Profiling of Tuberculous Meningitis coinfected with HIV

Project description:Tuberculosis co-infected with HIV may increase the risk of causing meningitis. Tuberculous meningitis co-infected with HIV associated with high mortality and severe neurological abnormalities in affected individuals. We have carried out TBM co-infected with HIV gene expression study using whole human genome microarrays. We identified 796 differentially expressed genes with fold change cut off of 2 or more than 2. Out of 796 differentially expressed genes, 398 were upregulated and 396 were downregulated. We have validated two molecules from microarray data using immunohistochemistry. The proposed study carried out mRNA expression profiling of five samples from patients diagnosed with tuberculous meningitis coinfected with HIV and four head injury cases were used as controls. We have used 4X44K arrays from agilent platform. To validate our microarray results, we have done immunohistochemistry on 10 TBM+HIV cases and 10 control groups.

2012-12-31 | E-GEOD-29507 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data