AIMC Topic: Triglycerides

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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, Sprague-Dawley Liver NF-kappa B Cholesterol Rats Rosiglitazone Malondialdehyde Silybin Superoxide Dismutase Medicine, Chinese Traditional Non-alcoholic Fatty Liver Disease Humans Alanine Transaminase Animals Aspartate Aminotransferases Mice Triglycerides
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Employing biochemical biomarkers for building decision tree models to predict bipolar disorder from major depressive disorder.

Journal of affective disorders Apr 16, 2022
BACKGROUND: Conventional biochemical parameters may have predictive values for use in clinical identification between bipolar disorder (BD) and major depressive disorder (MDD).
Thyrotropin Uric Acid Bilirubin Triglycerides Male Humans Prealbumin Biomarkers Depressive Disorder, Major Bipolar Disorder Female Decision Trees
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Prediction and Elucidation of Triglycerides Levels Using a Machine Learning and Linear Fuzzy Modelling Approach.

BioMed research international Feb 24, 2022
INTRODUCTION: Triglycerides are lipids composed of fatty acids that provide energy to the cell. These compounds are delivered to the body's cells via lipoproteins found in the bloodstream. Increased blood triglyceride levels have been associated with...
Hypertension Fuzzy Logic Linear Models Lipoproteins, HDL Humans Machine Learning Retrospective Studies Triglycerides
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Estimation of low-density lipoprotein cholesterol levels using machine learning.

International journal of cardiology Jan 20, 2022
BACKGROUND: Low-density lipoprotein-cholesterol (LDL-C) is used as a threshold and target for treating dyslipidemia. Although the Friedewald equation is widely used to estimate LDL-C, it has been known to be inaccurate in the case of high triglycerid...
Cholesterol, LDL Humans Cholesterol, HDL Machine Learning Dyslipidemias Algorithms Triglycerides
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Machine learning predictive models of LDL-C in the population of eastern India and its comparison with directly measured and calculated LDL-C.

Annals of clinical biochemistry Oct 6, 2021
BACKGROUND: LDL-C is a strong risk factor for cardiovascular disorders. The formulas used to calculate LDL-C showed varying performance in different populations. Machine learning models can study complex interactions between the variables and can be ...
Triglycerides Humans Machine Learning Risk Factors Cardiovascular Diseases Cholesterol, LDL
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Is Machine Learning-derived Low-Density Lipoprotein Cholesterol estimation more reliable than standard closed form equations? Insights from a laboratory database by comparison with a direct homogeneous assay.

Clinica chimica acta; international journal of clinical chemistry May 13, 2021
BACKGROUND: There is no consensus on the best method to estimate Low Density Lipoprotein-Cholesterol (LDL-C) in routine laboratories.
France Triglycerides Adult Middle Aged Cholesterol, LDL Laboratories Humans Machine Learning Retrospective Studies Female Aged
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Risk stratification of ST-segment elevation myocardial infarction (STEMI) patients using machine learning based on lipid profiles.

Lipids in health and disease May 6, 2021
BACKGROUND: Numerous studies have revealed the relationship between lipid expression and increased cardiovascular risk in ST-segment elevation myocardial infarction (STEMI) patients. Nevertheless, few investigations have focused on the risk stratific...
Humans Prognosis Risk Assessment Unsupervised Machine Learning Principal Component Analysis ST Elevation Myocardial Infarction Female Aged Male Middle Aged Kaplan-Meier Estimate Apolipoprotein B-100 Lipoprotein(a) Patient Selection Apolipoprotein A-I Patient Readmission Percutaneous Coronary Intervention Cholesterol, HDL Cholesterol, LDL Triglycerides Lipid Metabolism
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Comparing a novel machine learning method to the Friedewald formula and Martin-Hopkins equation for low-density lipoprotein estimation.

PloS one Sep 30, 2020
BACKGROUND: Low-density lipoprotein cholesterol (LDL-C) is a target for cardiovascular prevention. Contemporary equations for LDL-C estimation have limited accuracy in certain scenarios (high triglycerides [TG], very low LDL-C).
Humans Cholesterol, HDL Middle Aged Triglycerides Data Interpretation, Statistical Female Cholesterol, LDL Aged Machine Learning Hyperlipidemias Adult Male
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Comparison of Machine Learning Methods and Conventional Logistic Regressions for Predicting Gestational Diabetes Using Routine Clinical Data: A Retrospective Cohort Study.

Journal of diabetes research Jun 12, 2020
BACKGROUND: Gestational diabetes mellitus (GDM) contributes to adverse pregnancy and birth outcomes. In recent decades, extensive research has been devoted to the early prediction of GDM by various methods. Machine learning methods are flexible predi...
Humans Machine Learning Retrospective Studies Pregnancy Female Reproducibility of Results Uric Acid Diabetes, Gestational Lipoproteins, HDL Maternal Age Triglycerides Clinical Decision Rules Young Adult Logistic Models Pregnancy in Obesity Adult Decision Trees Routinely Collected Health Data Blood Glucose Glycated Hemoglobin Cohort Studies Cholesterol
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Machine-learning assisted confocal imaging of intracellular sites of triglycerides and cholesteryl esters formation and storage.

Analytica chimica acta May 3, 2020
All living systems are maintained by a constant flux of metabolic energy and, among the different reactions, the process of lipids storage and lipolysis is of fundamental importance. Current research has focused on the investigation of lipid droplets...
PC12 Cells Golgi Apparatus Endoplasmic Reticulum Oxazines Mitochondria Cholesterol Esters Triglycerides Machine Learning Animals Microscopy, Confocal Rats
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