Background: Early patient and allograft survival after liver transplantation (LT) depend primarily on parenchymal function, but long-term allograft success relies often on biliary-tree function. We examined parameters related to cholangiocyte damage that predict poor long-term LT outcomes after donation after brain death (DBD).
Methods: Sixty bile ducts (BD) were assessed by a BD damage-score and divided into groups with "major" BD-damage (n = 33) and "no relevant" damage (n = 27) during static cold storage. Patients with "major" BD damage were further investigated by measuring biliary excretion parameters in the first 14 days post-LT (followed-up for 60-months).
Results: Patients who received LT showing "major" BD damage had significantly worse long-term patient survival, versus grafts with "no relevant" damage (p = .03). When "major" BD damage developed, low bilirubin levels (p = .012) and high gamma-glutamyl transferase (GGT)/bilirubin ratio (p = .0003) were evident in the early post-LT phase (7-14 days) in patients who survived (> 60 months), compared to those who did not. "High risk" patients with bile duct damage and low GGT/bilirubin ratio had significantly shorter overall survival (p < .0001).
Conclusions: Once "major" BD damage occurs, a high GGT/bilirubin ratio in the early post-operative phase is likely indicator of liver and cholangiocyte regeneration, and thus a harbinger of good overall outcomes. "Major" BD damage without markers of regeneration identifies LT patients that could benefit from future repair therapies.
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http://dx.doi.org/10.1111/ctr.14880 | DOI Listing |
Transl Vis Sci Technol
January 2025
Glaucoma Service, Wills Eye Hospital, Philadelphia, PA, USA.
Purpose: The integration of artificial intelligence (AI), particularly deep learning (DL), with optical coherence tomography (OCT) offers significant opportunities in the diagnosis and management of glaucoma. This article explores the application of various DL models in enhancing OCT capabilities and addresses the challenges associated with their clinical implementation.
Methods: A review of articles utilizing DL models was conducted, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), autoencoders, and large language models (LLMs).
Immun Inflamm Dis
January 2025
State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
Background: Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a major concern due to its astonishing prevalence and high fatality rate, especially among elderly people. Patients suffering from COVID-19 may exhibit immunosuppression in the initial stage of infection, while a cytokine storm can occur when the disease progresses to a severe stage. This inopportune immune rhythm not only makes patients more susceptible to the virus but also leads to numerous complications resulting from the excessive production of inflammatory factors.
View Article and Find Full Text PDFActa Parasitol
January 2025
División de Investigación, Facultad de Medicina, Unidad de Investigación UNAM-INC, Universidad Nacional Autónoma de México, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano No. 1, Col. Sección XVI, Ciudad de México, C.P. 14080, México.
Leishmania spp. cause a wide range of human diseases, localized skin lesions, mucocutaneous and visceral infections. In the present study, the aim was to investigate the potential role of sanguinarine as a specific inhibitor of Leishmania PP2C that can induce apoptosis in the parasite.
View Article and Find Full Text PDFJ Neurol
January 2025
Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Introduction: While cerebral amyloid angiopathy is likely responsible for intracerebral hemorrhage (ICH) occurring in superficial (grey matter, vermis) cerebellar locations, it is unclear whether hypertensive arteriopathy (HA), the other major cerebral small vessel disease (cSVD), is associated with cerebellar ICH (cICH) in deep (white matter, deep nuclei, cerebellar peduncle) regions. We tested the hypothesis that HA-associated neuroimaging markers are significantly associated with deep cICH compared to superficial cICH.
Patients And Methods: Brain MRI scans from consecutive non-traumatic cICH patients admitted to a referral center were analyzed for cSVD markers.
Appl Microbiol Biotechnol
January 2025
State Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases, West China School of Stomatology, Sichuan University, Chengdu, 610041, Sichuan, China.
Aloe vera (L.) Burm.f.
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