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Objective: To observe the effect of artificial liver support system (ALSS) after liver transplantation on the survival rate of severe hepatitis patients.
Methods: Patients with severe hepatitis with model for end stage liver disease (MELD) score above 35 were divided into two groups according to whether pre-transplantation ALSS was instituted (n=23) or not (n=41). Evaluation was performed on the day when the patient entered into the waiting list and 1 day pre-transplantation. Survival rates and survival curves were estimated with Kaplan-Meier method. Log-Rank test for trends was used when comparing curves.
Results: There was no significant difference between two groups when comparing the parameters including prothrombin time, fibrinogen, total bilirubin, blood ammonia, creatinine, MELD score on the day of entering into the waiting list (all P>0.05). After the therapy of ALSS, the parameters of ALSS group were significantly improved comparing to those of the control group (all P<0.01). MELD score of ALSS group on the day pre-transplant was decreased significantly comparing to that on the day entering into the waiting list (37.6+/-2.0 vs. 41.4+/-2.2, P<0.01), with the difference in MELD score (DeltaMELD) of -3.8. MELD score of control group on the day entering into the waiting list and 1 day pre-transplant was 40.6+/-1.7 and 41.0+/-1.6 respectively, with DeltaMELD of +0.4 ( P>0.05). The blood loss and operation time in ALSS group was significantly less than the control group [(4 070.0+/-688.1) ml vs. (4 905.9+/-1 142.1) ml, (9.4+/-1.1) hours vs. (10.5+/-1.0) hours, P<0.05 and P<0.01). Thirty days and 1 year survival rate of ALSS group was 91% and 82%, and that of control group was 76% and 59% respectively (P=0.044).
Conclusion: ALSS can improve the survival rate of patients with severe hepatitis undergoing liver transplantation through ameliorating physiological status, lessening blood loss during operation and operation time.
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Clin Mol Hepatol
September 2025
Department of Endoscopy, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China.
Background/aims: Endoplasmic reticulum (ER) stress in hepatocytes plays a causative role in alcohol-associated liver disease (ALD). The incomplete inhibition of ER stress by targeting canonical ER stress sensor proteins suggests the existence of noncanonical ER stress pathways in ALD pathology. This study aimed to delineate the role of RAB25 in ALD and its regulatory mechanism in noncanonical ER stress pathways.
View Article and Find Full Text PDFFuture Med Chem
September 2025
Computational Science & Artificial Intelligence, Xenon Pharmaceuticals Inc, Burnaby, BC, Canada.
Aims: To develop a machine learning (ML) model for early-stage prediction of human half-life of oral central nervous system (CNS) drugs and to establish a curated dataset, including key and data, to support future modeling efforts.
Materials & Methods: Human and rat half-life, plasma protein binding (PPB), and liver microsomal clearance (LM) data for 76 diverse CNS drugs and candidates were obtained from public sources or evaluated at WuXi AppTec. Gradient tree boosting (GTB) models were constructed using ChemAxon's Trainer Engine.
Int J Obstet Anesth
August 2025
Department of Liver Transplant Anaesthesia, Institute of Liver and Biliary Sciences, New Delhi, India.
Background: Epidural analgesia is the gold standard for labor pain relief, yet performing patient education remains challenging due to time constraints, language barriers, and variable health literacy. Traditional educational approaches often fail to ensure adequate patient understanding. Artificial intelligence (AI) interactive avatars offer a novel solution for delivering standardized, empathetic, and accessible patient education.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
September 2025
School of Mechanical Engineering, Hanoi University of Science and Technology, No.1 Dai Co Viet, Bach Mai, Hanoi, Vietnam.
Purpose: Localization of abdominal tissue, such as tumors, in minimally invasive surgery (MIS) is crucial but challenging due to the lack of tactile sensation. This study aims to develop a tactile force sensor that provides tactile sensation for surgeons, enabling accurate tumor localization while ensuring surgical safety.
Methods: This study proposes an acoustic reflection-based tactile force sensor, with preliminary theoretical analyses and fundamental experiments performed to assess its response to applied forces.
Adv Mater
September 2025
Department of Diagnostic Radiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119074, Singapore.
Nanomedicine has shown remarkable promise in advancing tumor imaging and therapy through its ability to achieve targeted delivery, precision imaging, and therapeutic efficacy. However, translating these preclinical successes into clinical practice remains fraught with challenges, including inconsistent tumor targeting, off-target organ accumulation, and a lack of comprehensive understanding of in vivo behavior of nanomedicines. In this perspective, the current state of nanomedicine research is critically analyzed, emphasizing the translational bottlenecks and offering a forward-looking view on potential solutions.
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