Results 71 to 80 of about 2,591,141 (428)
Insights into regulation of lipoprotein receptors in human mesangial cells: The effects of inflammatory cytokines and calcium channel blockers. [PDF]
, 2001 The involvement of abnormal lipid metabolism in the progression of renal disease and the pathogenesis of chronic graft dysfunction is generally accepted.
Ruan, Xiong Zhong
core
LXR Regulates Cholesterol Uptake Through Idol-Dependent Ubiquitination of the LDL Receptor
Science, 2009 Idolizing Cholesterol Control The low-density lipoprotein receptor (LDLR) removes LDL, the so-called “bad” cholesterol particles, from the blood through a mechanism that involves LDL binding and internalization into liver cells.
N. Zelcer +3 more
semanticscholar +1 more source
Cerebral autoregulation in patients with acute lacunar infarction: a reliable predictor of outcome
Annals of Clinical and Translational Neurology, EarlyView.Abstract Objective To further investigate the association between dynamic cerebral autoregulation (dCA) and the outcomes in patients with acute lacunar infarction. Methods Patients were prospectively and consecutively enrolled at The First Hospital of Jilin University between 2016 and 2023. dCA was monitored at 1–3 and 7–10 days after the stroke.
Xiang‐Kun Si +7 more
wiley +1 more source
Predicting progression of aortic stenosis by measuring serum calcification propensity
Clinical Cardiology, Volume 45, Issue 12, Page 1297-1302, December 2022., 2022 Abstract Background The aim of this prospective, double‐blinded study in patients with aortic sclerosis was to determine whether a new calcification propensity measure in the serum could predict disease progression. Methods We included 129 consecutive patients with aortic sclerosis as assessed during a routine clinical echocardiographic exam. Clinical,
Reto Kurmann +4 more
wiley +1 more source
Bidirectional Loss Function for Label Enhancement and Distribution Learning [PDF]
arXiv, 2020 Label distribution learning (LDL) is an interpretable and general learning paradigm that has been applied in many real-world applications. In contrast to the simple logical vector in single-label learning (SLL) and multi-label learning (MLL), LDL assigns labels with a description degree to each instance. In practice, two challenges exist in LDL, namely,
arxiv
LDL: A Defense for Label-Based Membership Inference Attacks [PDF]
arXiv, 2022 The data used to train deep neural network (DNN) models in applications such as healthcare and finance typically contain sensitive information. A DNN model may suffer from overfitting. Overfitted models have been shown to be susceptible to query-based attacks such as membership inference attacks (MIAs). MIAs aim to determine whether a sample belongs to
arxiv
EMBO Journal, 1988 We describe a cell surface protein that is abundant in liver and has close structural and biochemical similarities to the low density lipoprotein (LDL) receptor. The complete sequence of the protein containing 4544 amino acids is presented.
J. Herz +5 more
semanticscholar +1 more source
Development of a Disease Model for Predicting Postoperative Delirium Using Combined Blood Biomarkers
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Postoperative delirium, a common neurocognitive complication after surgery and anesthesia, requires early detection for potential intervention. Herein, we constructed a multidimensional postoperative delirium risk‐prediction model incorporating multiple demographic parameters and blood biomarkers to enhance prediction accuracy ...
Hengjun Wan +7 more
wiley +1 more source
Clinical Cardiology, Volume 45, Issue 12, Page 1303-1310, December 2022., 2022 Abstract Background Chronic kidney disease (CKD) is a known risk factor of atherosclerotic cardiovascular disease (ASCVD). Per the 2018 American Heart Association/American College of Cardiology cholesterol guidelines, high‐risk ASCVD patients with CKD and low‐density lipoprotein cholesterol (LDL‐C) levels ≥ $\ge $ 70 mg/dL should take a high‐intensity ...
Aleesha Shaik +10 more
wiley +1 more source
Algebraic study of receptor-ligand systems: a dose-response analysis [PDF]
arXiv, 2022 The study of a receptor-ligand system generally relies on the analysis of its dose-response (or concentration-effect) curve, which quantifies the relation between ligand concentration and the biological effect (or cellular response) induced when binding its specific cell surface receptor.
arxiv