Universität zu Köln

Lang, Sonja, Farowski, Fedja, Martin, Anna, Wisplinghoff, Hilmar, Vehreschild, Maria J. G. T., Krawczyk, Marcin ORCID: 0000-0002-0113-0777, Nowag, Angela, Kretzschmar, Anne, Scholz, Claus, Kasper, Philipp, Roderburg, Christoph, Lammert, Frank, Goeser, Tobias, Steffen, Hans-Michael and Demir, Muenevver (2020). Prediction of advanced fibrosis in non-alcoholic fatty liver disease using gut microbiota-based approaches compared with simple non-invasive tools. Sci Rep, 10 (1). LONDON: NATURE PUBLISHING GROUP. ISSN 2045-2322

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Abstract

Liver fibrosis is the major determinant of liver related complications in patients with non-alcoholic fatty liver disease (NAFLD). A gut microbiota signature has been explored to predict advanced fibrosis in NAFLD patients. The aim of this study was to validate and compare the diagnostic performance of gut microbiota-based approaches to simple non-invasive tools for the prediction of advanced fibrosis in NAFLD. 16S rRNA gene sequencing was performed in a cohort of 83 biopsy-proven NAFLD patients and 13 patients with non-invasively diagnosed NAFLD-cirrhosis. Random Forest models based on clinical data and sequencing results were compared with transient elastography, the NAFLD fibrosis score (NFS) and FIB-4 index. A Random Forest model containing clinical features and bacterial taxa achieved an area under the curve (AUC) of 0.87 which was only marginally superior to a model without microbiota features (AUC 0.85). The model that aimed to validate a published algorithm achieved an AUC of 0.71. AUC's for NFS and FIB-4 index were 0.86 and 0.85. Transient elastography performed best with an AUC of 0.93. Gut microbiota signatures might help to predict advanced fibrosis in NAFLD. However, transient elastography achieved the best diagnostic performance for the detection of NAFLD patients at risk for disease progression.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Lang, Sonja UNSPECIFIED UNSPECIFIED UNSPECIFIED Farowski, Fedja UNSPECIFIED UNSPECIFIED UNSPECIFIED Martin, Anna UNSPECIFIED UNSPECIFIED UNSPECIFIED Wisplinghoff, Hilmar UNSPECIFIED UNSPECIFIED UNSPECIFIED Vehreschild, Maria J. G. T. UNSPECIFIED UNSPECIFIED UNSPECIFIED Krawczyk, Marcin UNSPECIFIED orcid.org/0000-0002-0113-0777 UNSPECIFIED Nowag, Angela UNSPECIFIED UNSPECIFIED UNSPECIFIED Kretzschmar, Anne UNSPECIFIED UNSPECIFIED UNSPECIFIED Scholz, Claus UNSPECIFIED UNSPECIFIED UNSPECIFIED Kasper, Philipp UNSPECIFIED UNSPECIFIED UNSPECIFIED Roderburg, Christoph UNSPECIFIED UNSPECIFIED UNSPECIFIED Lammert, Frank UNSPECIFIED UNSPECIFIED UNSPECIFIED Goeser, Tobias UNSPECIFIED UNSPECIFIED UNSPECIFIED Steffen, Hans-Michael UNSPECIFIED UNSPECIFIED UNSPECIFIED Demir, Muenevver UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-330169
DOI:	10.1038/s41598-020-66241-0
Journal or Publication Title:	Sci Rep
Volume:	10
Number:	1
Date:	2020
Publisher:	NATURE PUBLISHING GROUP
Place of Publication:	LONDON
ISSN:	2045-2322
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language DYSBIOSIS; SYSTEM; NAFLD Multiple languages Multidisciplinary Sciences Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/33016