AIMC Topic: Cholesterol, HDL
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Modelling disease risk for amyloid A (AA) amyloidosis in non-human primates using machine learning.
Amyloid : the international journal of experimental and clinical investigation : the official journal of the International Society of Amyloidosis
Jun 18, 2019
Amyloid A (AA) amyloidosis is found in humans and non-human primates, but quantifying disease risk prior to clinical symptoms is challenging. We applied machine learning to identify the best predictors of amyloidosis in rhesus macaques from availabl...
Male
Case-Control Studies
Diarrhea
Adenocarcinoma
Disease Models, Animal
Models, Statistical
Biomarkers
Humans
Retrospective Studies
Machine Learning
Female
Risk Factors
Triglycerides
Animals
Arthritis
Wounds and Injuries
Macaca mulatta
Cholesterol, LDL
Colitis
Gastrointestinal Neoplasms
Serum Amyloid A Protein
Endometriosis
Cholesterol, HDL
Amyloidosis
High triglycerides to HDL-cholesterol ratio is associated with insulin resistance in normal-weight healthy adults.
Diabetes & metabolic syndrome
Oct 10, 2018
AIM: To evaluate the association between high triglyceride/HDL-cholesterol (TG/HDL-C) ratio and insulin resistance (IR) or hyperinsulinemia after oral glucose tolerance test (OGTT) in normal-weight healthy adults.
Effect of daily intake of a low-alcohol orange beverage on cardiovascular risk factors in hypercholesterolemic humans.
Food research international (Ottawa, Ont.)
Aug 3, 2018
Oxidative stress, inflammation status, endothelial dysfunction, and imbalanced lipid metabolism play a major role in cardiovascular disease. Bioactive compounds and moderate alcohol consumption have been associated with decreased cardiovascular risk....
Plasminogen activator inhibitor-1 is associated with the metabolism and development of advanced colonic polyps.
Translational research : the journal of laboratory and clinical medicine
Jun 6, 2018
Implications of plasminogen activator inhibitor-1 (PAI-1) in colonic polyps remain elusive. A prospective study was conducted with 188 consecutive subjects who underwent colonoscopy at a tertiary referral center. Biochemical parameters, serum PAI-1 l...
Lipid Metabolism in Patients with Anti-N-Methyl-D-Aspartate Receptor Encephalitis.
Neuroimmunomodulation
Feb 1, 2018
OBJECTIVE: Lipid metabolism has been implicated in autoimmune disorders, but its relationship with anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis is unclear. This study examined the association of serum lipids with anti-NMDAR encephalit...
A case of apolipoprotein A-I deficiency due to carboxyl-terminal truncation.
Journal of clinical lipidology
Dec 29, 2017
Apolipoprotein A-I deficiency is a rare metabolic disease characterized by an impaired reverse cholesterol transport system resulting in excessive cholesterol accumulation. Here, we discuss a case of apolipoprotein A-I deficiency caused by a carboxyl...
Apolipoprotein A-I: A favorable prognostic marker in infective endocarditis.
Journal of clinical lipidology
Dec 21, 2017
BACKGROUND: Decreased apolipoprotein A-I (apoA-I) and high-density lipoprotein cholesterol (HDL-C) are common in inflammation and sepsis. No study with a large sample size has been performed to investigate the prognostic value of apoA-I or HDL-C in i...
Melatonin administration lowers biomarkers of oxidative stress and cardio-metabolic risk in type 2 diabetic patients with coronary heart disease: A randomized, double-blind, placebo-controlled trial.
Clinical nutrition (Edinburgh, Scotland)
Dec 12, 2017
BACKGROUND & AIMS: Melatonin may benefit diabetic people with coronary heart disease (CHD) through its beneficial effects on biomarkers of oxidative stress and cardio-metabolic risk. This investigation evaluated the effects of melatonin administratio...
Inflammatory markers modify the risk of recurrent coronary events associated with apolipoprotein A-I in postinfarction patients.
Journal of clinical lipidology
Dec 28, 2016
BACKGROUND: Laboratory findings have suggested that systemic and vascular inflammation can impair the antiatherogenic function of high-density lipoproteins (HDLs). However, evidence from population studies is sparse.
Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning.
PloS one
Oct 11, 2016
Statistical models to predict incident diabetes are often based on limited variables. Here we pursued two main goals: 1) investigate the relative performance of a machine learning method such as Random Forests (RF) for detecting incident diabetes in ...
Humans
Machine Learning
Biomarkers
Glycated Hemoglobin
Leptin
Waist Circumference
Cholesterol, HDL
Anthropometry
Blood Glucose
Female
Adiponectin
Incidence
Aged
Triglycerides
Diabetes Mellitus, Type 2
Adult
Black or African American
Male
Models, Theoretical
Demography
Middle Aged
Follow-Up Studies
C-Reactive Protein
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