e-learning
resources
Virtual 2021
06.09.2021
Immunological and molecular characterisation of tuberculosis disease and infection
Login
Search all ERS
e-learning
resources
Disease Areas
Airways Diseases
Interstitial Lung Diseases
Respiratory Critical Care
Respiratory Infections
Paediatric Respiratory Diseases
Pulmonary Vascular Diseases
Sleep and Breathing Disorders
Thoracic Oncology
Events
International Congress
Courses
Webinars
Conferences
Research Seminars
Journal Clubs
Publications
Breathe
Monograph
ERJ
ERJ Open Research
ERR
European Lung White Book
Handbook Series
Guidelines
All ERS guidelines
e-learning
CME Online
Case reports
Short Videos
SpirXpert
Procedure Videos
CME tests
Reference Database of Respiratory Sounds
Radiology Image Challenge
Brief tobacco interventions
EU Projects
VALUE-Dx
ERN-LUNG
ECRAID
UNITE4TB
Disease Areas
Events
Publications
Guidelines
e-learning
EU Projects
Login
Search
Late Breaking Abstract - Transcriptomic signature for precise prediction of systemic drug reaction during 3HP treatment for latent tuberculosis infection
J. Wang (Taipei, Taiwan), H. Huang (Kaohsiung, Taiwan), J. Yang (Hsinchu, Taiwan), I. Chong (Kaohsiung, Taiwan)
Source:
Virtual Congress 2021 – Immunological and molecular characterisation of tuberculosis disease and infection
Session:
Immunological and molecular characterisation of tuberculosis disease and infection
Session type:
E-poster
Number:
2478
Rating:
You must
login
to grade this presentation.
Share or cite this content
Citations should be made in the following way:
J. Wang (Taipei, Taiwan), H. Huang (Kaohsiung, Taiwan), J. Yang (Hsinchu, Taiwan), I. Chong (Kaohsiung, Taiwan). Late Breaking Abstract - Transcriptomic signature for precise prediction of systemic drug reaction during 3HP treatment for latent tuberculosis infection. 2478
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:
Expert interview: TB-Machine learning and artificial intelligence as allies in clinical decision
The Relationship Between Functional Status and Fatigue After COVID-19 Infection
Late Breaking Abstract - Implications of treatable traits and treatment choices on exacerbation risk in moderate-severe asthma
Related content which might interest you:
A combinatorial dual-immunoassay predicts reactivation risk for patients with previously incomplete treatment for latent tuberculosis infection
Source: International Congress 2016 – Active and latent tuberculosis: biomarkers
Year: 2016
Latent tuberculosis infection: a new paradigm
Source: International Congress 2019 – State of the art session: Respiratory infections
Year: 2019
Multiplexed cytokine and chemokine profiling in patients with latent tuberculosis infection: Treatment effect
Source: International Congress 2014 – Tuberculosis: from diagnosis to therapy and prevention
Year: 2014
Utility of Th1-cell immune responses in differentiating active tuberculosis from latent tuberculosis infection
Source: International Congress 2014 – Tuberculosis: from diagnosis to therapy and prevention
Year: 2014
Immune reactive profiling in subjects at risk of latent tuberculosis infection with TST(+)/IGRA(-) results.
Source: International Congress 2018 – Tuberculosis transmission and screening strategies
Year: 2018
Quantitative membrane proteomics reveals new functions ofCD13 in mycobacterium tuberculosis infection
Source: International Congress 2015 – Biomarkers in TB: immunology and physiology
Year: 2015
Biomarkers of systemic inflammatory response in patients with tuberculosis, combined with HIV infection
Source: International Congress 2016 – Tuberculosis: immune responses of CD8+ T cells, value of interferon-gamma and other cytokines, Th2 responses, BCG, and biomarkers
Year: 2016
Direct costs of three models for the screening of latent tuberculosis infection
Source: Eur Respir J 2006; 28: 45-50
Year: 2006
Predictive factors of a delayed culture conversion under tuberculosis treatment
Source: Annual Congress 2013 –Tuberculosis diagnosis
Year: 2013
Utility of mycobacterium tuberculosis Rv0081-specific host gene expression to distinguish latent infection from active tuberculosis disease
Source: International Congress 2016 – Active and latent tuberculosis: biomarkers
Year: 2016
Evaluation of the accuracy of several immune experimental diagnostic tools to distinguish active tuberculosis from latent infection
Source: International Congress 2015 – Science and biomarkers in TB
Year: 2015
Treatment of latent tuberculosis infection: completion rates and adverse effects
Source: Eur Respir J 2003; 22: Suppl. 45, 526s
Year: 2003
Latent tuberculosis infection in a drug treatment centre
Source: Eur Respir J 2002; 20: Suppl. 38, 366s
Year: 2002
Multiple cytokine response to
mycobacterium tuberculosis
with a whole blood assay is useful to distinguish active from latent tuberculosis infection in a highly tuberculosis endemic country
Source: International Congress 2014 – Tuberculosis: from epidemiology to therapy 2
Year: 2014
Rapid detection of mycobacterial growth in in vitro cultures by VOC analysis
Source: International Congress 2014 – Tuberculosis: from diagnosis to therapy and prevention
Year: 2014
Late Breaking Abstract - Correlation of sputum microRNA-144 expression levels with treatment response among pulmonary tuberculosis patients
Source: International Congress 2018 – New developments in tuberculosis
Year: 2018
Enhanced diagnosis of tuberculosis using a dual gene target detection approach
Source: International Congress 2016 – Microbiology: bronchoalveolar lavage (BAL) and PCR
Year: 2016
Treatment of latent infection with Mycobacterium tuberculosis: update 2010
Source: Eur Respir J 2011; 37: 690-711
Year: 2011
Combined phenotypical and functional analysis of
M. tuberculosis
specific immunity for diagnosing active infection and risk assessment in latently infected individuals
Source: International Congress 2014 – Future frontiers in the diagnosis of Mycobacterium tuberculosis infection
Year: 2014
CD27 expression as a new tool to distinguish active tuberculosis from latent infection
Source: International Congress 2015 – Science and biomarkers in TB
Year: 2015
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking "Accept", you consent to the use of the cookies.
Accept