AIMC Topic: Cholesterol

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HMGCR-driven cholesterol metabolism dysregulation and its role in osteoarthritis diagnosis and immune regulation.

Biochemical and biophysical research communications
Osteoarthritis (OA) is the most common degenerative joint disease, and the complexity of its molecular mechanisms has hindered the development of effective diagnostic and therapeutic strategies. In this study, we integrated five independent OA RNA-se...

Asymmetric Dynamics Between the Protomers of the σ2 Receptor Homodimer.

Journal of chemical information and modeling
The sigma-2 receptor (σR/TMEM97) is a clinically relevant membrane protein involved in cholesterol regulation and overexpressed in cancer and neurodegenerative diseases. Despite its therapeutic potential, the dynamic mechanisms underlying σR function...

Advances in mass spectrometry of lipids for the investigation of Niemann-pick type C disease.

Lipids in health and disease
Niemann-Pick type C (NPC) disease is a devastating, fatal, neurodegenerative disease and a form of lysosomal storage disorder. It is caused by mutations in either NPC1 or NPC2 genes, leading to the accumulation of cholesterol and other lipids in the ...

Screening biomarkers related to cholesterol metabolism in osteoarthritis based on transcriptomics.

Scientific reports
Cholesterol metabolism-related genes (CMRGs) have been associated with osteoarthritis (OA), but their specific regulatory mechanisms remain unclear. This study aimed to investigate the role of CMRGs in OA and provide new insights into its treatment. ...

Recognition of Specific PIP2-subtype Composition Triggers the Allosteric Control Mechanism for Selective Membrane Targeting of Cargo Loading and Release Functions of the Intracellular Sterol Transporter StarD4.

Journal of molecular biology
We present a comprehensive, quantitative model of the allosteric molecular mechanisms of selective cholesterol (CHL) uptake and delivery by the StarD4 protein - an intracellular cholesterol trafficking protein that facilitates the crucial non-vesicul...

Quantitative detection of serum biochemical indexes via UV-Vis-NIRS combined with deep neural networks.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
To achieve rapid, cost-efficient, convenient and accurate detection of five clinical serum biochemical indexes, namely glucose (GLU), triglycerides (TG), total cholesterol (TC), total protein (TP) and albumin (ALB), ultraviolet-visible-near infrared ...

Establishing a preoperative predictive model for gallbladder adenoma and cholesterol polyps based on machine learning: a multicentre retrospective study.

World journal of surgical oncology
BACKGROUND: With the rising diagnostic rate of gallbladder polypoid lesions (GPLs), differentiating benign cholesterol polyps from gallbladder adenomas with a higher preoperative malignancy risk is crucial. This study aimed to establish a preoperativ...

Novel design of fractional cholesterol dynamics and drug concentrations model with analysis on machine predictive networks.

Computers in biology and medicine
Within the intricate fabric of human physiology, cholesterol, a lipid present in cell membranes exerts a discernible effect on the concentration of the drug in human body that influence the aspects of drug pharmacokinetics. The objective of this work...

Noninvasive Total Cholesterol Level Measurement Using an E-Nose System and Machine Learning on Exhaled Breath Samples.

ACS sensors
In this paper, the first e-nose system coupled with machine learning algorithm for noninvasive measurement of total cholesterol level based on exhaled air sample was proposed. The study was conducted with the participation of 151 people, from whom a ...

Impact of nutrition-related laboratory tests on mortality of patients who are critically ill using artificial intelligence: A focus on trace elements, vitamins, and cholesterol.

Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition
BACKGROUND: This study aimed to understand the collective impact of trace elements, vitamins, cholesterol, and prealbumin on patient outcomes in the intensive care unit (ICU) using an advanced artificial intelligence (AI) model for mortality predicti...