Literature DB >> 26121490

A molecular biomarker to diagnose community-acquired pneumonia on intensive care unit admission.

Brendon P Scicluna1, Peter M C Klein Klouwenberg2,3,4, Lonneke A van Vught1, Maryse A Wiewel1, David S Y Ong2,3,4, Aeilko H Zwinderman5, Marek Franitza6,7, Mohammad R Toliat6, Peter Nürnberg6,7,8, Arie J Hoogendijk1, Janneke Horn9, Olaf L Cremer2, Marcus J Schultz9, Marc J Bonten3,4, Tom van der Poll1,10.   

Abstract

RATIONALE: Community-acquired pneumonia (CAP) accounts for a major proportion of intensive care unit (ICU) admissions for respiratory failure and sepsis. Diagnostic uncertainty complicates case management, which may delay appropriate cause-specific treatment.
OBJECTIVES: To characterize the blood genomic response in patients with suspected CAP and identify a candidate biomarker for the rapid diagnosis of CAP on ICU admission.
METHODS: The study comprised two cohorts of consecutively enrolled patients treated for suspected CAP on ICU admission. Patients were designated CAP (cases) and no-CAP patients (control subjects) by post hoc assessment. The first (discovery) cohort (101 CAP and 33 no-CAP patients) was enrolled between January 2011 and July 2012; the second (validation) cohort (70 CAP and 30 no-CAP patients) between July 2012 and June 2013. Blood was collected within 24 hours of ICU admission.
MEASUREMENTS AND MAIN RESULTS: Blood microarray analysis of CAP and no-CAP patients revealed shared and distinct gene expression patterns. A 78-gene signature was defined for CAP, from which a FAIM3:PLAC8 gene expression ratio was derived with area under curve of 0.845 (95% confidence interval, 0.764-0.917) and positive and negative predictive values of 83% and 81%, respectively. Robustness of the FAIM3:PLAC8 ratio was ascertained by quantitative polymerase chain reaction in the validation cohort. The FAIM3:PLAC8 ratio outperformed plasma procalcitonin and IL-8 and IL-6 in discriminating between CAP and no-CAP patients.
CONCLUSIONS: CAP and no-CAP patients presented shared and distinct blood genomic responses. We propose the FAIM3:PLAC8 ratio as a candidate biomarker to assist in the rapid diagnosis of CAP on ICU admission. Clinical trial registered with www.clinicaltrials.gov (NCT 01905033).

Entities:  

Keywords:  biomarker; blood; microarray; pneumonia; sepsis

Mesh:

Substances:

Year:  2015        PMID: 26121490     DOI: 10.1164/rccm.201502-0355OC

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


  70 in total

1.  Comprehensive Validation of the FAIM3:PLAC8 Ratio in Time-matched Public Gene Expression Data.

Authors:  Timothy E Sweeney; Purvesh Khatri
Journal:  Am J Respir Crit Care Med       Date:  2015-11-15       Impact factor: 21.405

2.  Volatile fingerprinting of Pseudomonas aeruginosa and respiratory syncytial virus infection in an in vitro cystic fibrosis co-infection model.

Authors:  Giorgia Purcaro; Christiaan A Rees; Jeffrey A Melvin; Jennifer M Bomberger; Jane E Hill
Journal:  J Breath Res       Date:  2018-07-03       Impact factor: 3.262

3.  Hospital-acquired Pneumonia: A Host of Factors.

Authors:  Timothy E Sweeney; Purvesh Khatri
Journal:  Am J Respir Crit Care Med       Date:  2016-12-01       Impact factor: 21.405

4.  Antibiotic stewardship in the intensive care unit: tools for de-escalation from the American Thoracic Society Meeting 2016.

Authors:  Kevan Akrami; Daniel A Sweeney; Atul Malhotra
Journal:  J Thorac Dis       Date:  2016-07       Impact factor: 2.895

5.  Sepsis Diagnostics: From Discovery to Application.

Authors:  Juan C Mira; Lyle L Moldawer
Journal:  Crit Care Med       Date:  2017-01       Impact factor: 7.598

Review 6.  Diagnosing and Managing Sepsis by Probing the Host Response to Infection: Advances, Opportunities, and Challenges.

Authors:  Ian L Gunsolus; Timothy E Sweeney; Oliver Liesenfeld; Nathan A Ledeboer
Journal:  J Clin Microbiol       Date:  2019-06-25       Impact factor: 5.948

7.  Unsupervised Analysis of Transcriptomics in Bacterial Sepsis Across Multiple Datasets Reveals Three Robust Clusters.

Authors:  Timothy E Sweeney; Tej D Azad; Michele Donato; Winston A Haynes; Thanneer M Perumal; Ricardo Henao; Jesús F Bermejo-Martin; Raquel Almansa; Eduardo Tamayo; Judith A Howrylak; Augustine Choi; Grant P Parnell; Benjamin Tang; Marshall Nichols; Christopher W Woods; Geoffrey S Ginsburg; Stephen F Kingsmore; Larsson Omberg; Lara M Mangravite; Hector R Wong; Ephraim L Tsalik; Raymond J Langley; Purvesh Khatri
Journal:  Crit Care Med       Date:  2018-06       Impact factor: 7.598

8.  The authors reply.

Authors:  Timothy E Sweeney; Purvesh Khatri
Journal:  Crit Care Med       Date:  2017-04       Impact factor: 7.598

Review 9.  The immunopathology of sepsis and potential therapeutic targets.

Authors:  Tom van der Poll; Frank L van de Veerdonk; Brendon P Scicluna; Mihai G Netea
Journal:  Nat Rev Immunol       Date:  2017-04-24       Impact factor: 53.106

10.  Benchmarking Sepsis Gene Expression Diagnostics Using Public Data.

Authors:  Timothy E Sweeney; Purvesh Khatri
Journal:  Crit Care Med       Date:  2017-01       Impact factor: 7.598

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