Dataset Information

Comparative proteomics of liver and plasma on the CDAA rat NASH model

ABSTRACT: Nonalcoholic steatohepatitis (NASH) is a major cause of liver fibrosis with increasing prevalence worldwide. Currently there are no approved drugs available. The development of new therapies is difficult as diagnosis and staging requires biopsies. Consequently, predictive plasma biomarkers would be useful for drug development. To identify new plasma biomarkers in a choline-deficient L-amino acid-defined diet rat NASH model we analyzed liver and plasma samples by proteomics, revealing disease relevant signatures and a high correlation between liver mRNA and protein changes. We developed a multi-dimensional attribute ranking approach integrating multi-omics data with liver histology and prior knowledge uncovering known human markers, but also novel candidates. Using regression analysis, we show that the top-ranked plasma markers were highly predictive for fibrosis in our model and hence can serve as preclinical plasma biomarkers. Our approach presented here illustrates the power of multi-omics analyses combined with plasma proteomics and is readily applicable to human biomarker discovery.

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Rattus Norvegicus (rat)

TISSUE(S): Blood Plasma, Liver

SUBMITTER: Daniel Veyel

LAB HEAD: Wolfgang Rist

PROVIDER: PXD014751 | Pride | 2020-01-28

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	20171221_NASH_01_fraktion.msf	Msf
	20171221_NASH_01_fraktion_1.zip	Other
	20171221_NASH_01_fraktion_2.zip	Other
	20171221_NASH_01_fraktion_3.zip	Other
	20171221_NASH_01_fraktion_4.zip	Other

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Publications

Biomarker discovery for chronic liver diseases by multi-omics - a preclinical case study.

Veyel Daniel D Wenger Kathrin K Broermann Andre A Bretschneider Tom T Luippold Andreas H AH Krawczyk Bartlomiej B Rist Wolfgang W Simon Eric E

Scientific reports 20200128 1

Nonalcoholic steatohepatitis (NASH) is a major cause of liver fibrosis with increasing prevalence worldwide. Currently there are no approved drugs available. The development of new therapies is difficult as diagnosis and staging requires biopsies. Consequently, predictive plasma biomarkers would be useful for drug development. Here we present a multi-omics approach to characterize the molecular pathophysiology and to identify new plasma biomarkers in a choline-deficient L-amino acid-defined diet ...[more]

PMID: 31992752

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