Liver disease is one of the leading public health problems faced by healthcare practitioners regularly. As such, there has been a search for an inexpensive, readily available, non-invasive marker to aid in monitoring and prognosticating hepatic disorders. Recently, red blood cell distribution width (RDW) has been found to be associated with various inflammatory conditions with implications for its use as a potential marker for assessing disease progression and prognosis in multiple conditions. Multiple factors effect red blood cell production whereby a dysfunction in any process can lead to anisocytosis. Furthermore, a chronic inflammatory state leads to increased oxidative stress and produces inflammatory cytokines causing dysregulation and increased intracellular uptake and use of both iron and vitamin B12, which leads to a reduction in erythropoiesis causing an increase in RDW. This literature review reviews in-depth pathophysiology that may lead to an increase in RDW and its potential correlation with chronic liver diseases, including hepatitis B, hepatitis C, hepatitis E, non-alcoholic fatty liver disease, autoimmune hepatitis, primary biliary cirrhosis, and hepatocellular carcinoma. In our review, we examine the use of RDW as a prognostic and predictive marker for hepatic injury and chronic liver disease.
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http://dx.doi.org/10.3390/ijms24043487 | DOI Listing |
Gut Microbes
December 2025
Division of Gastroenterology, Hepatology, and Nutrition, Virginia Commonwealth University and Richmond VA Medical Center, Richmond, VA, USA.
There is a complex interplay between the gut microbes, liver, and central nervous system, a gut-liver-brain axis, where the brain impacts intestinal and hepatic function while the gut and liver can impact cognition and mental status. Dysregulation of this axis can be seen in numerous diseases. Hepatic encephalopathy, a consequence of cirrhosis, is perhaps the best studied perturbation of this system.
View Article and Find Full Text PDFScand J Gastroenterol
January 2025
Norwegian PSC Research Centre, Department of Transplantation Medicine, Division of Surgery, Inflammatory Diseases and Transplantation, Oslo University Hospital Rikshospitalet, Oslo, Norway.
Objectives: Indications of mitochondrial dysfunction are commonly seen in liver diseases, but data are scarce in primary sclerosing cholangitis (PSC). Analyzing circulating and liver-resident molecules indirectly reflecting mitochondrial dysfunction, we aimed to comprehensively characterize this deficit in PSC, and whether this was PSC specific or associated with cholestasis.
Materials And Methods: We retrospectively included plasma from 191 non-transplant patients with large-duct PSC and 100 healthy controls and explanted liver tissue extracts from 24 PSC patients and 18 non-cholestatic liver disease controls.
EClinicalMedicine
December 2024
Nottingham Digestive Diseases Centre (NDDC), Translational Medical Sciences, School of Medicine, University of Nottingham, NG7 2UH, UK.
Background: Despite the availability of various pharmacological and behavioural interventions, alcohol-related mortality is rising. This systematic review aimed to critically evaluate the existing literature on the association between glucagon-like peptide-1 receptor agonists use (GLP-1 RAs) and alcohol consumption.
Methods: Electronic searches were conducted on Ovid Medline, EMBASE, PsycINFO, clintrials.
EClinicalMedicine
December 2024
Department of Neurology, Brain Research Institute, Niigata University, Niigata, Japan.
Background: Therapeutic advancements for the polyglutamine diseases, particularly spinocerebellar degeneration, are eagerly awaited. We evaluated the safety, tolerability, and therapeutic effects of L-arginine, which inhibits the conformational change and aggregation of polyglutamine proteins, in patients with spinocerebellar ataxia type 6 (SCA6).
Methods: A multicenter, randomized, double-blind, placebo-controlled phase 2 trial (clinical trial ID: AJA030-002, registration number: jRCT2031200135) was performed on 40 genetically confirmed SCA6 patients enrolled between September 1, 2020, and September 30, 2021.
World J Clin Cases
January 2025
Department of Gastroenterology, Laiko General Hospital, National and Kapodistrian University of Athens, Athens 11527, Greece.
Machine learning (ML) is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis, thus creating machines that can complete tasks otherwise requiring human intelligence. Among its various applications, it has proven groundbreaking in healthcare as well, both in clinical practice and research. In this editorial, we succinctly introduce ML applications and present a study, featured in the latest issue of the .
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