AIMC Topic: Alanine Transaminase
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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...
Fish Proteins
Peroxisome Proliferator-Activated Receptors
Complement C4
Carnitine O-Palmitoyltransferase
Liver X Receptors
Humans
Sterol Regulatory Element Binding Protein 1
Muramidase
Flatfishes
Tumor Necrosis Factor-alpha
Animals
RNA, Messenger
Water Pollutants, Chemical
Liver
Nitrates
Lipid Metabolism
Alanine Transaminase
Heat-Shock Proteins
Aspartate Aminotransferases
Immunoglobulin M
Complement C3
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).
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.
Hepatic enzymes and immunoinflammatory response to Bio-C Temp bioceramic intracanal medication implanted into the subcutaneous tissue of rats.
Scientific reports
Feb 18, 2022
Our purpose was to evaluate the biocompatibility and hepatotoxicity of a new bioceramic intracanal medicament, Bio-C Temp (BIO). The biological properties of BIO were compared with calcium hydroxide-based intracanal medicament (Calen; CAL), used as g...
Application of a Machine Learning Technology in the Definition of Metabolically Healthy and Unhealthy Status: A Retrospective Study of 2567 Subjects Suffering from Obesity with or without Metabolic Syndrome.
Nutrients
Jan 15, 2022
The key factors playing a role in the pathogenesis of metabolic alterations observed in many patients with obesity have not been fully characterized. Their identification is crucial, and it would represent a fundamental step towards better management...
Prognosis
Retrospective Studies
Female
Risk Factors
Adult
Obesity
Male
Adipose Tissue
Alanine Transaminase
Middle Aged
Humans
Glycated Hemoglobin
Absorptiometry, Photon
Insulin-Like Growth Factor I
Artificial Intelligence
Obesity, Metabolically Benign
Health Status
Machine Learning
Metabolic Syndrome
Biomarkers
Development of a paper-based analytical device for the colourimetric detection of alanine transaminase and the application of deep learning for image analysis.
Analytica chimica acta
Oct 14, 2021
A paper-based colourimetric assay for the detection of alanine transaminase has been developed. In the presence of alanine transaminase, 2,4-dinitrophenyl hydrazine changes to pyruvate hydrazone leading to a colour change from pale yellow to dark yel...
Artificial Intelligence Predicts Severity of COVID-19 Based on Correlation of Exaggerated Monocyte Activation, Excessive Organ Damage and Hyperinflammatory Syndrome: A Prospective Clinical Study.
Frontiers in immunology
Aug 27, 2021
BACKGROUND: Prediction of the severity of COVID-19 at its onset is important for providing adequate and timely management to reduce mortality.
Using Unsupervised Machine Learning to Identify Age- and Sex-Independent Severity Subgroups Among Patients with COVID-19: Observational Longitudinal Study.
Journal of medical Internet research
May 27, 2021
BACKGROUND: Early detection and intervention are the key factors for improving outcomes in patients with COVID-19.
Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury.
Clinical journal of the American Society of Nephrology : CJASN
Oct 8, 2020
BACKGROUND AND OBJECTIVES: Sepsis-associated AKI is a heterogeneous clinical entity. We aimed to agnostically identify sepsis-associated AKI subphenotypes using deep learning on routinely collected data in electronic health records.
L-Lactate Dehydrogenase
Alanine Transaminase
Prognosis
Bilirubin
Acute Kidney Injury
Female
Deep Learning
Lactic Acid
Blood Urea Nitrogen
Electronic Health Records
Aged
Sepsis
Liver Diseases
Leukocyte Count
Humans
Male
Renal Dialysis
Simplified Acute Physiology Score
Phenotype
Middle Aged
United States
Glutamyl Aminopeptidase
Databases, Factual
Comorbidity
Creatinine
Predictive Estimates of Risks Associated with Type 2 Diabetes Mellitus on the Basis of Biochemical Biomarkers and Derived Time-Dependent Parameters.
Journal of computational biology : a journal of computational molecular cell biology
Apr 17, 2019
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