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Verfasst von:Wolf, Thomas [VerfasserIn]   i
 Oumeraci, Tonio [VerfasserIn]   i
 Gottlieb, Jens [VerfasserIn]   i
 Pich, Andreas [VerfasserIn]   i
 Brors, Benedikt [VerfasserIn]   i
 Eils, Roland [VerfasserIn]   i
 Haverich, Axel [VerfasserIn]   i
 Schlegelberger, Brigitte [VerfasserIn]   i
 Welte, Tobias [VerfasserIn]   i
 Zapatka, Marc [VerfasserIn]   i
 von Neuhoff, Nils [VerfasserIn]   i
Titel:Proteomic bronchiolitis obliterans syndrome risk monitoring in lung transplant recipients
Verf.angabe:Thomas Wolf, Tonio Oumeraci, Jens Gottlieb, Andreas Pich, Benedikt Brors, Roland Eils, Axel Haverich, Brigitte Schlegelberger, Tobias Welte, Marc Zapatka, and Nils von Neuhoff
E-Jahr:2011
Jahr:August 27, 2011
Umfang:9 S.
Fussnoten:Gesehen am 24.11.2022
Titel Quelle:Enthalten in: Transplantation
Ort Quelle:Hagerstown, Md. : Lippincott Williams & Wilkins, 1963
Jahr Quelle:2011
Band/Heft Quelle:92(2011), 4, Seite 477-485
ISSN Quelle:1534-6080
Abstract:Background: Obliterative bronchiolitis poses a primary obstacle for long-term survival of lung transplant recipients and manifests clinically as bronchiolitis obliterans syndrome (BOS). Establishing a molecular level screening method to detect BOS-related proteome changes before its diagnosis by forced expiratory volume surrogate marker criteria was the main objective of this study. - Methods: Bronchoalveolar lavage was performed in 82 lung transplant recipients (48/34 with/without known BOS development) at different time points between 12 and 48 months after lung transplantation. A mass spectrometry-based method was devised to generate bronchoalveolar lavage fluid proteome profiles that were screened for BOS-specific alterations. Statistically significant marker peptides and proteins were identified and validated by in-gel digestion, tandem mass spectrometric sequencing, and quantitative immunoassays. - Results: Among the panel of statistically significant markers were Clara cell protein, calgranulin A, human neutrophil peptides, and the antimicrobial agent histatin. To assess their clinical relevance, a highly sensitive and specific classifier model was developed. Positive BOS classification by monitoring of seven polypeptides correlated strongly with a significant decrease in BOS-free time. Thus, it was possible to detect high-risk patients early on in the pathogenetic process. - Conclusions: Monitoring the bronchoalveolar lavage fluid levels of seven polypeptides detected by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry allows a reliable prediction of early BOS using a Random Forest decision tree-based classifier model. The high accuracy of this robust model and its synergistic potential in combination with established forced expiratory volume-based diagnostics could make it an effective tool to supplement the current diagnostic regime after multicentric validation.
DOI:doi:10.1097/TP.0b013e318224c109
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext ; Verlag: https://doi.org/10.1097/TP.0b013e318224c109
 Volltext: https://journals.lww.com/transplantjournal/Fulltext/2011/08270/Proteomic_Bronchiolitis_Obliterans_Syndrome_Risk.15.aspx
 DOI: https://doi.org/10.1097/TP.0b013e318224c109
Datenträger:Online-Ressource
Sprache:eng
K10plus-PPN:1823547737
Verknüpfungen:→ Zeitschrift

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