Increased blood ammonia (NH) is an important causative factor in hepatic encephalopathy, and clinical treatment of hepatic encephalopathy is focused on lowering NH. Ammonia is a central element in intraorgan nitrogen (N) transport, and modeling the factors that determine blood-NH concentration is complicated by the need to account for a variety of reactions carried out in multiple organs. This review presents a detailed quantitative analysis of the major factors determining blood-NH homeostasis - the N metabolism of urea, NH, and amino acids by the liver, gastrointestinal system, muscle, kidney, and brain - with the ultimate goal of creating a model that allows for prediction of blood-NH concentration. Although enormous amounts of NH are produced during normal liver amino-acid metabolism, this NH is completely captured by the urea cycle and does not contribute to blood NH. While some systemic NH derives from renal and muscle metabolism, the primary site of blood-NH production is the gastrointestinal tract, as evidenced by portal vein-NH concentrations that are about three times that of systemic blood. Three mechanisms, in order of quantitative importance, release NH in the gut: 1) hydrolysis of urea by bacterial urease, 2) bacterial protein deamination, and 3) intestinal mucosal glutamine metabolism. Although the colon is conventionally assumed to be the major site of gut-NH production, evidence is reviewed that indicates that the stomach (via metabolism) and small intestine and may be of greater importance. In healthy subjects, most of this gut NH is removed by the liver before reaching the systemic circulation. Using a quantitative model, loss of this "first-pass metabolism" due to portal collateral circulation can account for the hyperammonemia observed in chronic liver disease, and there is usually no need to implicate hepatocyte malfunction. In contrast, in acute hepatic necrosis, hyperammonemia results from damaged hepatocytes. Although muscle-NH uptake is normally negligible, it can become important in severe hyperammonemia. The NH-lowering actions of intestinal antibiotics (rifaximin) and lactulose are discussed in detail, with particular emphasis on the seeming lack of importance of the frequently emphasized acidifying action of lactulose in the colon.
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http://dx.doi.org/10.2147/CEG.S160921 | DOI Listing |
J Med Internet Res
January 2025
Knight Foundation of Computing & Information Sciences, Florida International University, Miami, FL, United States.
Background: Digital biomarkers are increasingly used in clinical decision support for various health conditions. Speech features as digital biomarkers can offer insights into underlying physiological processes due to the complexity of speech production. This process involves respiration, phonation, articulation, and resonance, all of which rely on specific motor systems for the preparation and execution of speech.
View Article and Find Full Text PDFAnal Chem
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Department of Cancer Biology and Molecular Medicine, Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, California 91010, United States.
Extracellular vesicles (EVs), membrane-encapsulated nanoparticles shed from all cells, are tightly involved in critical cellular functions. Moreover, EVs have recently emerged as exciting therapeutic modalities, delivery vectors, and biomarker sources. However, EVs are difficult to characterize, because they are typically small and heterogeneous in size, origin, and molecular content.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
VA Center for Health Information and Communication, US Department of Veterans Affairs, Veterans Health Administration, Health Systems Research CIN 13-416, Richard L. Roudebush VA Medical Center, Indianapolis, Indiana.
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Objective: To characterize mental health care utilization among TGD veterans with depression.
Phys Eng Sci Med
January 2025
School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, Australia.
Artificial Intelligence (AI) based auto-segmentation has demonstrated numerous benefits to clinical radiotherapy workflows. However, the rapidly changing regulatory, research, and market environment presents challenges around selecting and evaluating the most suitable solution. To support the clinical adoption of AI auto-segmentation systems, Selection Criteria recommendations were developed to enable a holistic evaluation of vendors, considering not only raw performance but associated risks uniquely related to the clinical deployment of AI.
View Article and Find Full Text PDF3D Print Med
January 2025
Department of Surgical & Interventional Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
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