AIMC Topic: Aspartate Aminotransferases

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A machine learning-based framework for predicting metabolic syndrome using serum liver function tests and high-sensitivity C-reactive protein.

Scientific reports Jul 1, 2025
Metabolic Syndrome (MetS) comprises a clustering of conditions that significantly increase the risk of heart disease, stroke, and diabetes. Timely detection and intervention are crucial in preventing severe health outcomes. In this study, we implemen...
Male Middle Aged Support Vector Machine Metabolic Syndrome C-Reactive Protein Alanine Transaminase Aspartate Aminotransferases Bilirubin Liver Function Tests Algorithms Biomarkers Female Aged Adult Humans Neural Networks, Computer Machine Learning
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Enhancing diagnostic accuracy for HBV-related cirrhosis progression: predictive modeling using combined Golgi protein 73 and α1-microglobulin for the transition from nondecompensated to decompensated cirrhosis.

European journal of gastroenterology & hepatology Mar 21, 2025
BACKGROUND AND AIMS: Chronic hepatitis B poses a major health risk, especially its progression to decompensated cirrhosis. Early prediction is crucial for better outcomes. This study evaluated the predictive power of Golgi protein 73 (GP73), α1-micro...
Male Middle Aged Disease Progression Case-Control Studies Logistic Models Humans Hepatitis B, Chronic Liver Cirrhosis Platelet Count Machine Learning Membrane Proteins Alanine Transaminase Biomarkers Age Factors Aspartate Aminotransferases Decision Trees Female Alpha-Globulins Predictive Value of Tests Aged Adult
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Machine learning-based plasma metabolomics for improved cirrhosis risk stratification.

BMC gastroenterology Feb 6, 2025
BACKGROUND: Cirrhosis is a leading cause of mortality in patients with chronic liver disease (CLD). The rapid development of metabolomic technologies has enabled the capture of metabolic changes related to the progression of cirrhosis.
Humans Machine Learning Biomarkers Disease Progression Liver Cirrhosis Metabolomics Aspartate Aminotransferases Proportional Hazards Models Female Aged Male Middle Aged Risk Assessment Proton Magnetic Resonance Spectroscopy
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Machine learning model to predict the adherence of tuberculosis patients experiencing increased levels of liver enzymes in Indonesia.

PloS one Jan 24, 2025
Indonesia is still the second-highest tuberculosis burden country in the world. The antituberculosis adverse drug reaction and adherence may influence the success of treatment. The objective of this study is to define the model for predicting the adh...
Aspartate Aminotransferases Bilirubin Liver Antitubercular Agents Indonesia Tuberculosis Alanine Transaminase Humans Machine Learning Prospective Studies Female Adult Male Middle Aged Medication Adherence Longitudinal Studies
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Severity prediction markers in dengue: a prospective cohort study using machine learning approach.

Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals Nov 28, 2024
BACKGROUND: Dengue virus causes illnesses with or without warning indicators for severe complications. There are no clear prognostic signs linked to the disease outcomes.
Severe Dengue Severity of Illness Index Platelet Count Alanine Transaminase Aspartate Aminotransferases Dengue Female Adult Male Middle Aged Humans Machine Learning Prospective Studies Biomarkers Prognosis
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A potential new way to facilitate HCV elimination: The prediction of viremia in anti-HCV seropositive patients using machine learning algorithms.

Arab journal of gastroenterology : the official publication of the Pan-Arab Association of Gastroenterology May 4, 2024
BACKGROUND AND STUDY AIMS: The present study was undertaken to design a new machine learning (ML) model that can predict the presence of viremia in hepatitis C virus (HCV) antibody (anti-HCV) seropositive cases.
Humans Machine Learning Middle Aged Algorithms Hepatitis C Predictive Value of Tests Retrospective Studies Alanine Transaminase Viremia Aspartate Aminotransferases Female RNA, Viral Serum Albumin Hepacivirus Adult Hepatitis C Antibodies Male
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Exposure to nitrate induces alterations in blood parameter responses, liver immunity, and lipid metabolism in juvenile turbot (Scophthalmus maximus).

Aquatic toxicology (Amsterdam, Netherlands) Aug 24, 2022
Nitrate (NO) pollution of waterbodies has attracted significant global attention as it poses a serious threat to aquatic organisms and human beings. This study aimed to evaluate the role of NO, an end product of biological nitrification processes, in...
Liver X Receptors Alanine Transaminase Muramidase Aspartate Aminotransferases Immunoglobulin M Complement C3 Water Pollutants, Chemical Peroxisome Proliferator-Activated Receptors Fish Proteins Humans Liver Tumor Necrosis Factor-alpha Lipid Metabolism Carnitine O-Palmitoyltransferase Animals Heat-Shock Proteins Sterol Regulatory Element Binding Protein 1 RNA, Messenger Nitrates Flatfishes Complement C4
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Danshao Shugan Granule therapy for non-alcoholic fatty liver disease.

Lipids in health and disease Aug 23, 2022
BACKGROUND: Danshao Shugan Granules (DSSG), a traditional Chinese medicine (TCM), is given to protect the liver. The objective is to evaluate the mechanisms of the effects of DSSG on non-alcoholic fatty liver disease (NAFLD).
Rats Malondialdehyde Superoxide Dismutase Medicine, Chinese Traditional Rats, Sprague-Dawley Aspartate Aminotransferases Liver Humans Triglycerides NF-kappa B Animals Rosiglitazone Cholesterol Mice Silybin Non-alcoholic Fatty Liver Disease Alanine Transaminase
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Liver enzymes, alcohol consumption and the risk of diabetes: the Suita study.

Acta diabetologica Aug 16, 2022
AIM: We aimed to investigate the combined impact of liver enzymes and alcohol consumption on the diabetes risk.
Alcohol Drinking Ethanol Liver gamma-Glutamyltransferase Alanine Transaminase Aspartate Aminotransferases Female Risk Factors Humans Male Diabetes Mellitus
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Integrated biomarker approach strongly explaining in vivo sub-lethal acute toxicity of butachlor on Labeo rohita.

Comparative biochemistry and physiology. Toxicology & pharmacology : CBP Aug 6, 2022
Butachlor herbicide belongs to the family of chloroacetanilide group, widely used for control of grass and broadleaf weeds in paddy fields however, its repeated application may result in aquatic pollution. Butachlor residue has been detected in aquat...
Biomarkers Animals Water Pollutants, Chemical Aspartate Aminotransferases Acetanilides Glutamates Cyprinidae
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