The circadian clock is required for rhythmic lipid transport in Drosophila in interaction with diet and photic condition

Amatobi, Kelechi M.; Ozbek-Unal, Ayten Gizem; Schäbler, Stefan; Deppisch, Peter; Helfrich‐Förster, Charlotte; Mueller, Martin J.; Wegener, Christian; Fekete, Ágnes

doi:10.1016/j.jlr.2023.100417

Cited by 5 publications

(1 citation statement)

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“…Regarding the role of chronobiology in metabolic disease, Amatobi and colleagues have summed up a piece of fundamental insight in a wonderful sentence: "Modern lifestyle is often at odds with endogenously driven rhythmicity, which can lead to circadian disruption and metabolic syndrome". In a trailblazing study performed in Drosophila melanogaster (a well-established model in chronobiology), the authors elucidated several important relationships between metabolite cycling and the metabolic status, the disruption of circadian rhythmicity, and the propensity for metabolic disease [45]. Thus, while fruit flies and humans admittedly are separated by a large evolutionary gap, such relationships have long been established in the living world, allowing us to learn more regarding hepatic metabolic diseases in humans.…”

Section: Hepatic Chronobiologymentioning

confidence: 99%

Liver Diseases: Science, Fiction and the Foreseeable Future

Gieseler,

Baars,

Özçürümez

et al. 2024

JPM

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This Editorial precedes the Special Issue entitled “Novel Challenges and Therapeutic Options for Liver Diseases”. Following a historical outline of the roots of hepatology, we provide a brief insight into our colleagues’ contributions in this issue on the current developments in this discipline related to the prevention of liver diseases, the metabolic dysfunction-associated steatotic liver disease (or non-alcoholic fatty liver disease, respectively), liver cirrhosis, chronic viral hepatitides, acute-on-chronic liver failure, liver transplantation, the liver–microbiome axis and microbiome transplantation, and telemedicine. We further add some topics not covered by the contributions herein that will likely impact future hepatology. Clinically, these comprise the predictive potential of organokine crosstalk and treatment options for liver fibrosis. With regard to promising developments in basic research, some current findings on the genetic basis of metabolism-associated chronic liver diseases, chronobiology, metabolic zonation of the liver, aspects of the aging liver against the background of demography, and liver regeneration will be presented. We expect machine learning to thrive as an overarching topic throughout hepatology. The largest study to date on the early detection of liver damage—which has been kicked off on 1 March 2024—is highlighted, too.

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Section: Hepatic Chronobiologymentioning

confidence: 99%