Improved Detection of Invasive Pulmonary Aspergillosis Arising during Leukemia Treatment Using a Panel of Host Response Proteins and Fungal Antigens.

dc.contributor.author

Brasier, Allan R

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Zhao, Yingxin

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Spratt, Heidi M

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Wiktorowicz, John E

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Ju, Hyunsu

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Wheat, L Joseph

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Baden, Lindsey

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Stafford, Susan

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Wu, Zheng

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Issa, Nicolas

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Caliendo, Angela M

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Denning, David W

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Soman, Kizhake

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Clancy, Cornelius J

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Nguyen, M Hong

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Sugrue, Michele W

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Alexander, Barbara D

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Wingard, John R

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Jacobsen, Ilse D

dc.date.accessioned

2022-10-03T11:09:54Z

dc.date.available

2022-10-03T11:09:54Z

dc.date.issued

2015-01

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2022-10-03T11:09:52Z

dc.description.abstract

Invasive pulmonary aspergillosis (IPA) is an opportunistic fungal infection in patients undergoing chemotherapy for hematological malignancy, hematopoietic stem cell transplant, or other forms of immunosuppression. In this group, Aspergillus infections account for the majority of deaths due to mold pathogens. Although early detection is associated with improved outcomes, current diagnostic regimens lack sensitivity and specificity. Patients undergoing chemotherapy, stem cell transplantation and lung transplantation were enrolled in a multi-site prospective observational trial. Proven and probable IPA cases and matched controls were subjected to discovery proteomics analyses using a biofluid analysis platform, fractionating plasma into reproducible protein and peptide pools. From 556 spots identified by 2D gel electrophoresis, 66 differentially expressed post-translationally modified plasma proteins were identified in the leukemic subgroup only. This protein group was rich in complement components, acute-phase reactants and coagulation factors. Low molecular weight peptides corresponding to abundant plasma proteins were identified. A candidate marker panel of host response (9 plasma proteins, 4 peptides), fungal polysaccharides (galactomannan), and cell wall components (β-D glucan) were selected by statistical filtering for patients with leukemia as a primary underlying diagnosis. Quantitative measurements were developed to qualify the differential expression of the candidate host response proteins using selective reaction monitoring mass spectrometry assays, and then applied to a separate cohort of 57 patients with leukemia. In this verification cohort, a machine learning ensemble-based algorithm, generalized pathseeker (GPS) produced a greater case classification accuracy than galactomannan (GM) or host proteins alone. In conclusion, Integration of host response proteins with GM improves the diagnostic detection of probable IPA in patients undergoing treatment for hematologic malignancy. Upon further validation, early detection of probable IPA in leukemia treatment will provide opportunities for earlier interventions and interventional clinical trials.

dc.identifier

PONE-D-15-26785

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1932-6203

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1932-6203

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https://hdl.handle.net/10161/26033

dc.language

eng

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Public Library of Science (PLoS)

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PloS one

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10.1371/journal.pone.0143165

dc.subject

Humans

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Leukemia

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Peptides

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Blood Proteins

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Antigens, Fungal

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Case-Control Studies

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Cohort Studies

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Reproducibility of Results

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ROC Curve

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Amino Acid Sequence

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Algorithms

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Models, Biological

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Molecular Sequence Data

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Middle Aged

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Female

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Male

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Mass Spectrometry

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Invasive Pulmonary Aspergillosis

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Biomarkers

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Machine Learning

dc.title

Improved Detection of Invasive Pulmonary Aspergillosis Arising during Leukemia Treatment Using a Panel of Host Response Proteins and Fungal Antigens.

dc.type

Journal article

duke.contributor.orcid

Alexander, Barbara D|0000-0001-5868-0529

pubs.begin-page

e0143165

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11

pubs.organisational-group

Duke

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School of Medicine

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Clinical Science Departments

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Medicine

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Pathology

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Medicine, Infectious Diseases

pubs.publication-status

Published

pubs.volume

10

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