New Results
High Bacterial Load Predicts Poor Outcomes in Patients with Idiopathic Pulmonary Fibrosis
P L Molyneaux, M J Cox, S A G Willis-Owen, K E Russell, P Mallia, A M Russell, S L Johnston, A U Wells, W O C Cookson, T M Maher, M F Moffatt
doi: https://doi.org/10.1101/003145
P L Molyneaux
1National Heart and Lung Institute, Imperial College, London, United Kingdom
2NIHR Respiratory Biomedical Research Unit, Royal Brompton Hospital, London, United Kingdom
M J Cox
1National Heart and Lung Institute, Imperial College, London, United Kingdom
S A G Willis-Owen
1National Heart and Lung Institute, Imperial College, London, United Kingdom
K E Russell
1National Heart and Lung Institute, Imperial College, London, United Kingdom
P Mallia
1National Heart and Lung Institute, Imperial College, London, United Kingdom
3Imperial College Healthcare NHS Trust, London, United Kingdom
A M Russell
1National Heart and Lung Institute, Imperial College, London, United Kingdom
2NIHR Respiratory Biomedical Research Unit, Royal Brompton Hospital, London, United Kingdom
S L Johnston
1National Heart and Lung Institute, Imperial College, London, United Kingdom
3Imperial College Healthcare NHS Trust, London, United Kingdom
A U Wells
2NIHR Respiratory Biomedical Research Unit, Royal Brompton Hospital, London, United Kingdom
W O C Cookson
1National Heart and Lung Institute, Imperial College, London, United Kingdom
2NIHR Respiratory Biomedical Research Unit, Royal Brompton Hospital, London, United Kingdom
T M Maher
1National Heart and Lung Institute, Imperial College, London, United Kingdom
2NIHR Respiratory Biomedical Research Unit, Royal Brompton Hospital, London, United Kingdom
M F Moffatt
1National Heart and Lung Institute, Imperial College, London, United Kingdom
Article usage
Posted February 28, 2014.
High Bacterial Load Predicts Poor Outcomes in Patients with Idiopathic Pulmonary Fibrosis
P L Molyneaux, M J Cox, S A G Willis-Owen, K E Russell, P Mallia, A M Russell, S L Johnston, A U Wells, W O C Cookson, T M Maher, M F Moffatt
bioRxiv 003145; doi: https://doi.org/10.1101/003145
Subject Area
Subject Areas
- Biochemistry (11752)
- Bioengineering (8752)
- Bioinformatics (29200)
- Biophysics (14974)
- Cancer Biology (12096)
- Cell Biology (17411)
- Clinical Trials (138)
- Developmental Biology (9421)
- Ecology (14182)
- Epidemiology (2067)
- Evolutionary Biology (18308)
- Genetics (12245)
- Genomics (16803)
- Immunology (11869)
- Microbiology (28097)
- Molecular Biology (11594)
- Neuroscience (60969)
- Paleontology (451)
- Pathology (1871)
- Pharmacology and Toxicology (3238)
- Physiology (4959)
- Plant Biology (10427)
- Synthetic Biology (2886)
- Systems Biology (7340)
- Zoology (1651)