Gieseler Robert K, Baars Theodor, Özçürümez Mustafa K, Canbay Ali
Department of Medicine, University Hospital Knappschaftskrankenhaus, Ruhr University Bochum, 44892 Bochum, Germany.
J Pers Med. 2024 May 4;14(5):492. doi: 10.3390/jpm14050492.
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.
本社论先于题为“肝脏疾病的新挑战与治疗选择”的特刊。在概述肝病学的起源之后,我们简要介绍了本期同事们在该学科当前发展方面的贡献,这些发展涉及肝病预防、代谢功能障碍相关脂肪性肝病(或非酒精性脂肪性肝病)、肝硬化、慢性病毒性肝炎、慢加急性肝衰竭、肝移植、肝脏 - 微生物群轴与微生物群移植以及远程医疗。我们还补充了一些本文投稿未涵盖但可能影响未来肝病学发展的主题。在临床方面,这些主题包括器官因子相互作用的预测潜力以及肝纤维化的治疗选择。关于基础研究的一些有前景的发展,将介绍代谢相关慢性肝病的遗传基础、生物钟学、肝脏代谢分区、人口统计学背景下的肝脏衰老方面以及肝脏再生的一些当前研究结果。我们预计机器学习将作为贯穿肝病学的一个总体主题蓬勃发展。同时也重点介绍了于2024年3月1日启动的迄今为止最大规模的肝脏损伤早期检测研究。