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Biology subjects

Rossner, F.

Publications and source records attributed to Rossner, F..

2 recordsLinked to original sources

Hepatocyte Circadian Clocks Control Cholesterol Metabolism and Protect From Metabolic Dysfunction-Associated Steatohepatitis (MASH)

The circadian clock synchronizes physiological processes with the 24-hour light-dark cycle. Clock disruption contributes to metabolic disorders, including metabolic dysfunction-associated steatohepatitis (MASH). Here, we investigated the role of the hepatocyte clock in MASH using hepatocyte-specific Bmal1 deletion (Hep-Bmal1KO) mice. Hep-Bmal1KO mice showed faster MASH progression with increased hepatic cholesterol, inflammation, and fibrosis. Transcriptomic and lipidomic analyses revealed dysregulated cholesterol metabolism in Hep-Bmal1KO mice, marked by reduced expression and disrupted rhythmicity of key cholesterol-related genes. Bioinformatic analyses identified Chrebp as a potential co-regulator of these transcriptional changes. In an in vitro model with palmitate exposure and gene silencing, we found that Bmal1, but not Chrebp, regulated cholesterol accumulation, indicating Bmal1s specific role in hepatic cholesterol metabolism. Translating our findings to a human patient cohort revealed a significantly shifted circadian phase, despite no marked effect on hepatic cholesterol levels in the livers of patients with more advanced liver disease (i.e., MASH) compared to simple steatosis. Taken altogether, our findings offer a roadmap to understand the hepatocyte clocks role in MASH and its potential as a therapeutic target.

pathology↗

An Integrative Genetic, Epigenetic and Proteomic Characterization of Pancreatic Neuroendocrine Neoplasms (PanNENs) defines Distinct Molecular Features of α- and β-cell like Subgroups

Pancreatic Neuroendocrine Carcinomas (PanNECs) are high-grade, poorly-differentiated tumors grouped together with Pancreatic Neuroendocrine Tumors (PanNETs) and placed within the Pancreatic Neuroendocrine Neoplasms (PanNENs) WHO tumor classification. Despite recent studies suggesting the endocrine origin of low-grade PanNETs, high-grade PanNEC origin remains unknown. DNA methylation analysis using the Illumina 850K beadchip array was conducted on 57 PanNEN samples, including 14 PanNECs. Distinct methylation profiles separated PanNEN samples into two major groups, clearly distinguishing high-grade PanNECs from other PanNETs including high-grade NETG3. DNA mutations, copy number changes and Immunohistochemistry of pancreatic cell-type markers PDX1, ARX and SOX9 were utilized to further characterize PanNECs and their hierarchical cell of origin in the pancreas. Phylo-epigenetic and cell-type signature features using methylation data from normal alpha, beta, acinar and ductal adult cells indicate an exocrine cell of origin for PanNECs, thus separating them in cell lineage from other PanNENs of endocrine origin. Our study provides a robust and clinically relevant method relying on methylation profiles to clearly distinguish PanNECs from PanNETG3s to improve patient stratification and treatment.

cancer biology↗