Discrimination of sepsis metabolic profiles revealed by LC/MS-MS based metabonomics approach

L. Su, Y. Huang, Y. Zhu, K. Xiao, L. Cao, L. Xie (Sanyan, Tianjin, Beijing, Shenzhen, China)

Source: Annual Congress 2013 –Infection, sepsis and outcomes in ICU
Session: Infection, sepsis and outcomes in ICU
Session type: Thematic Poster Session
Number: 2444

Congress or journal article abstract

Rating: 0
You must login to grade this presentation.

Share or cite this content

Citations should be made in the following way:
L. Su, Y. Huang, Y. Zhu, K. Xiao, L. Cao, L. Xie (Sanyan, Tianjin, Beijing, Shenzhen, China). Discrimination of sepsis metabolic profiles revealed by LC/MS-MS based metabonomics approach. Eur Respir J 2013; 42: Suppl. 57, 2444

You must login to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.

Member's Comments

No comment yet.
You must Login to comment this presentation.

Related content which might interest you:
Preliminary proteomics analysis for sepsis biomarkers with iTRAQ labeling and LC-MS/MS
Source: Annual Congress 2013 –Research questions on how viruses affect the respiratory system
Year: 2013

High-throughput analysis of induced sputum from the U-BIOPRED study using novel proteomic and data mining approaches
Source: Annual Congress 2013 –Origins and diagnosis of asthma
Year: 2013

Plasma metabolomic signature in COPD patients: Associations to proteomic profile and clinical outcomes
Source: Annual Congress 2013 –COPD mechanisms
Year: 2013

Proteome fingerprints define groups with distinct clinico-pathological phenotypes in the U-BIOPRED asthma study
Source: International Congress 2016 – What's new in biomarker analysis?
Year: 2016

Sputum supernatant profiling reveals inflammasome-associated signatures in severe asthmatics in U-BIOPRED
Source: International Congress 2015 – Advances in the future treatment of severe asthma
Year: 2015

Metabolomic profiling of clinical sputum samples reveals novel biomarkers for the early identification of lung cancer patients
Source: International Congress 2014 – Improving diagnosis of thoracic tumours
Year: 2014

Metabolomic profiling differences among asthma, COPD and healthy controls: a LC-MS-based metabolomics analysis
Source: International Congress 2019 – Evaluation of basic science in airway diseases
Year: 2019

New approaches to tuberculosis diagnosis through the study of metabolomic profile in urine
Source: Annual Congress 2013 –Tuberculosis diagnosis
Year: 2013

Metabolomic fingerprinting in the identification of biomarkers in COPD patients
Source: Annual Congress 2012 - Basic and translational studies in COPD
Year: 2012

Unbiased cluster analysis of severe asthma based on metabolomics by the U-BIOPRED electronic nose platform
Source: Annual Congress 2013 –Asthma and COPD: diseases with different phenotypes
Year: 2013

Mass spectrometry methods for biomarker research for chronic lung allograft dysfunction (CLAD) in systems prediction of CLAD (SysCLAD)
Source: International Congress 2014 – Novel approaches in the management of lung transplant candidates and recipients
Year: 2014

A multi-omics data integration approach to identify a predictive molecular signature of CLAD
Source: International Congress 2015 – Predictors of lung transplant complications
Year: 2015

Large-scale quantitative proteomic analysis identifies pathways in COPD-associated lung cancer
Source: International Congress 2015 – Cell biology of lung cancer and new biomarkers
Year: 2015

Benchtop NMR-based metabolomic analysis as a diagnostic tool for tuberculosis in clinical urine samples
Source: International Congress 2019 – Tuberculosis: diagnosis
Year: 2019

Identification of serum biomarkers associated with asthma phenotypes through Combinatorial Hexapeptide Ligand Libraries (CPLLs) and iTRAQ-coupled LC-MS/MS.
Source: International Congress 2019 – Modelling and monitoring of airway diseases
Year: 2019

The identification of asthma phenotypes by categorical PCA: Combinatorial analysis of clinical parameters and dysfunctional blood eosinophils
Source: International Congress 2014 – Non inflammatory monitoring of airway diseases
Year: 2014

Exploiting metabolomic approaches to aid in the diagnosis of lung cancer
Source: International Congress 2016 – Prognostic variables in lung cancer II
Year: 2016

LSC Abstract – Systemic and local metabolomics profiling reveals novel insights into the progression of emphysema
Source: International Congress 2016 – New therapies and therapeutic targets
Year: 2016

Novel proteomic biomarkers in the evaluation of childhood asthma
Source: Annual Congress 2013 –Monitoring asthma: genes, cells and molecules
Year: 2013