L-Lactate Dehydrogenase

In vitro study of the nephrotoxicity of total Dahuang (Radix Et Rhizoma Rhei Palmati) anthraquinones and emodin in monolayer human proximal tubular epithelial cells cultured in a transwell chamber.

Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan 32186110

OBJECTIVE: To examine changes in the morphology and physiological functions of human proximal tubular epithelial cells (HK-2 cells) caused by total Dahuang (Radix Et Rhizoma Rhei Palmati) anthraquinones (TDA) and emodin.

Absorption, Physicochemical Actins Anthraquinones Cell Line Cell Proliferation Emodin Epithelial Cells gamma-Glutamyltransferase Gene Expression Regulation Glucose Hepatitis A Virus Cellular Receptor 1 Humans Kidney Tubules, Proximal L-Lactate Dehydrogenase Neoplasm Proteins Rheum

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Antifungal properties and biocompatibility of silver nanoparticle coatings on silicone maxillofacial prostheses in vitro.

Journal of biomedical materials research. Part B, Applied biomaterials 29524329

Patients with facial prostheses suffer from yeast, Candida albicans, infections. This study aimed to determine the biocompatibility and antifungal properties of silicone facial prostheses coated with silver nanoparticles (Ag NPs) in vitro. Medical gr...

Antifungal Agents Candida albicans Cell Line Cell Membrane Permeability Coated Materials, Biocompatible Ethanol Fibroblasts Humans L-Lactate Dehydrogenase Materials Testing Maxillofacial Prosthesis Metal Nanoparticles Silicones Silver Silver Nitrate

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[Y-27632 protects H9c2 cardiomyocytes against hypoxia/reoxygenation injury by inhibiting autophagy pathway].

Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology 29268855

Objective To investigate the protective effect of preconditioning with Rho-kinase inhibitor Y-27632 on H9c2 cardiomyocytes against hypoxia/reoxygenation (H/R) injury, and explore its underlying mechanism. Methods H9c2 cardiomyocytes were divided into...

Amides Animals Apoptosis Autophagy Beclin-1 Cell Hypoxia Cell Line Cell Survival L-Lactate Dehydrogenase Myocytes, Cardiac Myosin Light Chains Oxygen Phosphorylation Protective Agents Pyridines Rats Signal Transduction

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[The research on protective effect of penehyclidine hydrochloride in rats with myocardial ischemia/reperfusion injury].

Zhonghua wei zhong bing ji jiu yi xue 27318336

OBJECTIVE: To compare the protective effect of different dose of penehyclidine hydrochloride (PHC) in rats with myocardial ischemia/reperfusion (I/R) injury.

Animals Cardiotonic Agents Creatine Kinase, MB Form Furans L-Lactate Dehydrogenase Male Mitochondria, Heart Myocardial Reperfusion Injury Myocardium Myocytes, Cardiac Quinuclidines Random Allocation Rats Rats, Wistar

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[Oxidative stress and mitochondrion-related cell apoptosis in human bronchial epithelial 16HBE cells induced by silica dust].

Zhonghua lao dong wei sheng zhi ye bing za zhi = Zhonghua laodong weisheng zhiyebing zazhi = Chinese journal of industrial hygiene and occupational diseases 26887260

OBJECTIVE: To investigate oxidative stress and mitochondria-related cell apoptosis induced by silica dust in human normal bronchial epithelial 16HBE cells.

Apoptosis bcl-2-Associated X Protein Cell Survival Cells, Cultured Dust Epithelial Cells Humans L-Lactate Dehydrogenase Mitochondria Oxidative Stress Proto-Oncogene Proteins c-bcl-2 Reactive Oxygen Species Silicon Dioxide Superoxide Dismutase

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Artificial neural network algorithm model as powerful tool to predict acute lung injury following to severe acute pancreatitis.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] 30268673

OBJECTIVE: The aim of this study is to predict the risk of severe acute pancreatitis (SAP) associated with acute lung injury (ALI) by artificial neural networks (ANNs) model.

Acute Disease Acute Kidney Injury Adult Algorithms Area Under Curve Female Humans L-Lactate Dehydrogenase Logistic Models Machine Learning Male Middle Aged Neural Networks, Computer Oxyhemoglobins Pancreatitis Predictive Value of Tests Prognosis Risk Assessment ROC Curve Young Adult

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Artificial Intelligence Estimates the Importance of Baseline Factors in Predicting Response to Anti-PD1 in Metastatic Melanoma.

American journal of clinical oncology 31261257

OBJECTIVE: Prognosis of patients with metastatic melanoma has dramatically improved over recent years because of the advent of antibodies targeting programmed cell death protein-1 (PD1). However, the response rate is ~40% and baseline biomarkers for ...

Age Factors Aged Female Forecasting Humans L-Lactate Dehydrogenase Lymphocyte Count Male Melanoma Middle Aged Mucous Membrane Neoplasms, Unknown Primary Neural Networks, Computer Neutrophils Programmed Cell Death 1 Receptor Retrospective Studies Skin Neoplasms Survival Rate Treatment Outcome Uveal Neoplasms

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Prevalence and Predictability of Low-Yield Inpatient Laboratory Diagnostic Tests.

JAMA network open 31509205

IMPORTANCE: Laboratory testing is an important target for high-value care initiatives, constituting the highest volume of medical procedures. Prior studies have found that up to half of all inpatient laboratory tests may be medically unnecessary, but...

Adult Aged Area Under Curve Blood Urea Nitrogen Clinical Laboratory Techniques Female Glycated Hemoglobin Hemoglobins Hospitalization Humans L-Lactate Dehydrogenase Leukocyte Count Machine Learning Male Middle Aged Predictive Value of Tests Retrospective Studies ROC Curve Sensitivity and Specificity Troponin I

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Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury.

Clinical journal of the American Society of Nephrology : CJASN 33033164

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.

Acute Kidney Injury Aged Alanine Transaminase Bilirubin Blood Urea Nitrogen Comorbidity Creatinine Databases, Factual Deep Learning Electronic Health Records Female Glutamyl Aminopeptidase Humans L-Lactate Dehydrogenase Lactic Acid Leukocyte Count Liver Diseases Male Middle Aged Phenotype Prognosis Renal Dialysis Sepsis Simplified Acute Physiology Score United States

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Clinical and inflammatory features based machine learning model for fatal risk prediction of hospitalized COVID-19 patients: results from a retrospective cohort study.

Annals of medicine 33410720

OBJECTIVES: To appraise effective predictors for COVID-19 mortality in a retrospective cohort study.

Adult Aged Aged, 80 and over C-Reactive Protein Cardiovascular Diseases China Clinical Decision Rules Cohort Studies Comorbidity COVID-19 Diabetes Mellitus Female Ferritins Hospitalization Humans Hypertension Interleukin-10 L-Lactate Dehydrogenase Machine Learning Male Middle Aged Prognosis Reproducibility of Results Retrospective Studies SARS-CoV-2 Severity of Illness Index

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In vitro study of the nephrotoxicity of total Dahuang (Radix Et Rhizoma Rhei Palmati) anthraquinones and emodin in monolayer human proximal tubular epithelial cells cultured in a transwell chamber.

Antifungal properties and biocompatibility of silver nanoparticle coatings on silicone maxillofacial prostheses in vitro.

[Y-27632 protects H9c2 cardiomyocytes against hypoxia/reoxygenation injury by inhibiting autophagy pathway].

[The research on protective effect of penehyclidine hydrochloride in rats with myocardial ischemia/reperfusion injury].

[Oxidative stress and mitochondrion-related cell apoptosis in human bronchial epithelial 16HBE cells induced by silica dust].

Artificial neural network algorithm model as powerful tool to predict acute lung injury following to severe acute pancreatitis.

Artificial Intelligence Estimates the Importance of Baseline Factors in Predicting Response to Anti-PD1 in Metastatic Melanoma.

Prevalence and Predictability of Low-Yield Inpatient Laboratory Diagnostic Tests.

Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury.

Clinical and inflammatory features based machine learning model for fatal risk prediction of hospitalized COVID-19 patients: results from a retrospective cohort study.

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