Applying clinical metagenomics for the detection and characterisation of respiratory infections

Themoula Charalampous, Gemma L. Kay, Justin O'Grady

Source: Eur Respir Monogr 2019; 83: 35-49
Journal Issue: The Lung Microbiome
Disease area: Respiratory infections

Congress or journal article abstractFull text journal article

Rating: 0
You must login to grade this presentation.

Share or cite this content

Citations should be made in the following way:
Themoula Charalampous, Gemma L. Kay, Justin O'Grady. Applying clinical metagenomics for the detection and characterisation of respiratory infections. Eur Respir Monogr 2019; 83: 35-49

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:
Prospective evaluation of nanopore-based metagenomic sequencing for rapid detection of bacterial pathogens in patients with lower respiratory tract infections
Source: Virtual Congress 2020 – Airway infection: the microbiome and beyond
Year: 2020


Non-targeted integrative multi-omics approaches on sputum reveal potential diagnostic and monitoring biomarkers for respiratory diseases
Source: International Congress 2017 – Novel molecular and genetic targets in COPD
Year: 2017

Advances in diagnostic tools for lower respiratory tract infections
Source: Virtual Congress 2021 – Community-acquired pneumonia: the new perspective in the post-COVID era
Year: 2021


Identification of pleural infection microbiological patterns by applying next generation sequencing and bioinformatics analysis
Source: Virtual Congress 2020 – Antibiotic therapy for pneumonia and pleural infections
Year: 2020



The role of the microbiome in the clinical management of respiratory infections
Source: International Congress 2016 – Respiratory infections in high-income countries: old challenges and new threats
Year: 2016


Risk indices of nosocomial infections as operational tools of continuous quality improving in respiratory medicine
Source: Eur Respir J 2005; 26: Suppl. 49, 187s
Year: 2005

HIRA-TAN: a real-time PCR-based diagnostic test for the pathogens of pneumonia
Source: Annual Congress 2009 - Aetiology and treatment of community-acquired pneumonia
Year: 2009


From the bedside: upcoming new clinical strategies: novel strategies to combat respiratory viral infections
Source: International Congress 2017 – Scientific year in review
Year: 2017


A new statistical diagnostic tool for respiratory diseases
Source: Virtual Congress 2020 – New and integrated tools for respiratory diagnosis and care
Year: 2020




Detecting lung infections in breathprints: empty promise or next generation diagnosis of infections
Source: Eur Respir J 2015; 45: 21-24
Year: 2015


Microcalorimetry for bacterial strain discrimination - a first step in developing a novel technique for the diagnosis of severe infections
Source: Annual Congress 2013 –Manifestations, scores and prognosis of community-acquired pneumonia
Year: 2013

Comparison of pneumonia severity scoring methods in identification of severe community acquired pneumonia
Source: International Congress 2017 – CAP: severity scores, risk groups and biomarkers
Year: 2017

Use of diagnostic tests in respiratory tract infections: an economic analysis.
Source: Virtual Congress 2021 – Emerging data for the management of respiratory tract infections
Year: 2021


Molecular epidemiology of adverse respiratory effects: A high-throughput screening method to detect biomarkers of genotoxic exposure
Source: Annual Congress 2010 - Causal factors and mechanisms of outdoor air pollution and nanoparticulates
Year: 2010

Potential impact and relevance of diagnostics in the management of respiratory tract infections: from COVID to hospital-acquired pneumonia
Source: Virtual Congress 2021 – Emerging data for the management of respiratory tract infections
Year: 2021


The airway ‘resistome’ in chronic respiratory disease: a metagenomics approach
Source: International Congress 2019 – The microbiome: novel data across respiratory diseases
Year: 2019