Open Access Green as soon as Postprint is submitted to ZB.
Liver-fibrosis-activated transcriptional networks govern hepatocyte reprogramming and intra-hepatic communication.
Cell Metab. 33, 1685-1700.e9 (2021)
Liver fibrosis is a strong predictor of long-term mortality in individuals with metabolic-associated fatty liver disease; yet, the mechanisms underlying the progression from the comparatively benign fatty liver state to advanced non-alcoholic steatohepatitis (NASH) and liver fibrosis are incompletely understood. Using cell-type-resolved genomics, we show that comprehensive alterations in hepatocyte genomic and transcriptional settings during NASH progression, led to a loss of hepatocyte identity. The hepatocyte reprogramming was under tight cooperative control of a network of fibrosis-activated transcription factors, as exemplified by the transcription factor Elf-3 (ELF3) and zinc finger protein GLIS2 (GLIS2). Indeed, ELF3- and GLIS2-controlled fibrosis-dependent hepatokine genes targeting disease-associated hepatic stellate cell gene programs. Thus, interconnected transcription factor networks not only promoted hepatocyte dysfunction but also directed the intra-hepatic crosstalk necessary for NASH and fibrosis progression, implying that molecular "hub-centered" targeting strategies are superior to existing mono-target approaches as currently used in NASH therapy.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
27.287
5.026
2
26
Annotations
Special Publikation
Hide on homepage
Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Cell Type-specific Profiling ; Elf3 ; Glis2 ; Genomic Reprogramming ; Hepatocytes ; Liver Fibrosis ; Metabolic-associated Fatty Liver Disease ; Nonalcoholic Steatohepatitis ; Transcription Factor Networks; Gene-expression; Cell Identity; Mouse Model; Steatohepatitis; Osteopontin; Distinct; Inflammation; Association; Homeostasis; Macrophage
Language
english
Publication Year
2021
HGF-reported in Year
2021
ISSN (print) / ISBN
1550-4131
e-ISSN
1932-7420
Journal
Cell Metabolism
Quellenangaben
Volume: 33,
Issue: 8,
Pages: 1685-1700.e9
Publisher
Elsevier
Publishing Place
50 Hampshire St, Floor 5, Cambridge, Ma 02139 Usa
Reviewing status
Peer reviewed
Institute(s)
Institute of Diabetes and Cancer (IDC)
CF Pathology & Tissue Analytics (CF-PTA)
Institute of Neurogenomics (ING)
Research Unit Analytical Pathology (AAP)
CF Pathology & Tissue Analytics (CF-PTA)
Institute of Neurogenomics (ING)
Research Unit Analytical Pathology (AAP)
POF-Topic(s)
90000 - German Center for Diabetes Research
30505 - New Technologies for Biomedical Discoveries
30205 - Bioengineering and Digital Health
30505 - New Technologies for Biomedical Discoveries
30205 - Bioengineering and Digital Health
Research field(s)
Helmholtz Diabetes Center
Enabling and Novel Technologies
Genetics and Epidemiology
Enabling and Novel Technologies
Genetics and Epidemiology
PSP Element(s)
G-501900-251
G-501900-253
A-630600-001
G-503292-001
G-500390-001
G-501900-253
A-630600-001
G-503292-001
G-500390-001
Grants
NNF
DZD grant NEXT
EMBO Long-Term Fellowship
Danish Independent Research Council | Natural Sciences
Novo Nordisk Foundation (NNF)
Danish National Research Foundation
Deutsche Forschungsge-meinschaft (DFG, German Research Foundation) through the Collaborative Research Center (CRC) 1118
DZD grant NEXT
EMBO Long-Term Fellowship
Danish Independent Research Council | Natural Sciences
Novo Nordisk Foundation (NNF)
Danish National Research Foundation
Deutsche Forschungsge-meinschaft (DFG, German Research Foundation) through the Collaborative Research Center (CRC) 1118
WOS ID
WOS:000684259900004
Scopus ID
85111313175
PubMed ID
34237252
Erfassungsdatum
2021-07-30