Tear Proteomic Predictive Biomarker Model for Ocular Graft Versus Host Disease Classification.
biomarkers
mass spectrometry
ocular graft versus host disease
severity classification
tear proteins
Journal
Translational vision science & technology
ISSN: 2164-2591
Titre abrégé: Transl Vis Sci Technol
Pays: United States
ID NLM: 101595919
Informations de publication
Date de publication:
08 2020
08 2020
Historique:
received:
22
01
2020
accepted:
26
06
2020
entrez:
4
9
2020
pubmed:
4
9
2020
medline:
4
9
2020
Statut:
epublish
Résumé
Diagnosis of ocular graft-versus-host disease (oGVHD) is hampered by a lack of clinically-validated biomarkers. This study aims to predict disease severity on the basis of tear protein expression in mild oGVHD. Forty-nine patients with and without chronic oGVHD after AHCT were recruited to a cross-sectional observational study. Patients were stratified using NIH guidelines for oGVHD severity: NIH 0 (none; n = 14), NIH 1 (mild; n = 9), NIH 2 (moderate; n = 16), and NIH 3 (severe; n = 10). The proteomic profile of tears was analyzed using liquid chromatography-tandem mass spectrometry. Random forest and penalized logistic regression were used to generate classification and prediction models to stratify patients according to disease severity. Mass spectrometry detected 785 proteins across all samples. A random forest model used to classify patients by disease grade achieved F1-measure values for correct classification of 0.95 (NIH 0), 0.8 (NIH 1), 0.74 (NIH 2), and 0.83 (NIH 3). A penalized logistic regression model was generated by comparing patients without oGVHD and those with mild oGVHD and applied to identify potential biomarkers present early in disease. A panel of 13 discriminant markers achieved significant diagnostic accuracy in identifying patients with moderate-to-severe disease. Our work demonstrates the utility of tear protein biomarkers in classifying oGVHD severity and adds further evidence indicating ocular surface inflammation as a main driver of oGVHD clinical phenotype. Expression levels of a 13-marker tear protein panel in AHCT patients with mild oGVHD may predict development of more severe oGVHD clinical phenotypes.
Identifiants
pubmed: 32879760
doi: 10.1167/tvst.9.9.3
pii: TVST-20-2285
pmc: PMC7442883
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Observational Study
Langues
eng
Pagination
3Informations de copyright
Copyright 2020 The Authors.
Déclaration de conflit d'intérêts
Disclosure: O.E. O’Leary, F. Hoffman-La Roche Ltd. (F); A. Schoetzau, none; L. Amruthalingam, none; N. Geber-Hollbach, none; K. Plattner, none; P. Jenoe, none; A. Schmidt, none; C. Ullmer, F. Hoffman-La Roche Ltd. (E); F.M. Drawnel, F. Hoffman-La Roche Ltd. (E); S. Fauser, F. Hoffman-La Roche Ltd. (E); H.P.N. Scholl, F. Hoffman-La Roche Ltd. (C), Boehringer Ingelheim Pharma GmbH (C), Gerson Lehrman Group (C), Guidepoint (C); J. Passweg, none; J.P. Halter, none; D. Goldblum, F. Hoffman-La Roche Ltd. (F), Santen (C), Haag-Streit (C,R), Thea (R), Bausch & Lomb (R), Johnson & Johnson (R)
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