AIMC Topic: Lipids

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Self-regulating microfluidic system for lipid nanoparticle production.

Journal of controlled release : official journal of the Controlled Release Society
Lipid nanoparticles have emerged as valuable gene delivery systems paving the way for next-generation vaccine and cancer therapeutics. Inevitably, this evolution is carried by dissecting and rationalizing the vehicles' complex formulation process. Gi...

A multistep platform identifies spleen-tropic lipid nanoparticles for in vivo T cell-targeted delivery of gene-editing proteins.

Science advances
Lipid nanoparticles (LNPs) are a promising nonviral delivery system for gene-editing proteins, but optimal formulations remain underexplored. Unlike messenger RNA-based approaches, ribonucleoprotein delivery enables immediate genome editing without r...

A machine learning framework for classifying lipids in untargeted metabolomics using mass-to-charge ratios and retention times.

Metabolomics : Official journal of the Metabolomic Society
INTRODUCTION: The identification of unknown metabolites remains a major challenge in untargeted metabolomics using liquid chromatography-mass spectrometry (LC-MS). This process typically depends on comparing mass spectral or chromatographic data to r...

Association between lipid profiles and early clinical outcomes in acute ischemic stroke: a single-center cohort study in the Chinese population.

BMC neurology
BACKGROUND: The clinical significance and contribution of the lipid profile in atherosclerosis are well established. However, further investigation is needed in stroke patients, particularly regarding apolipoprotein B100 (ApoB100), a novel non-tradit...

Ionizable Lipid Nanoparticles for mRNA Delivery: Internal Self-Assembled Inverse Mesophase Structure and Endosomal Escape.

Accounts of chemical research
ConspectusThe clinical use of mRNA COVID-19 vaccines developed by Moderna and Pfizer-BioNTech has highlighted the critical role of ionizable lipid nanoparticles (LNPs) in the efficient loading, intracellular delivery, and cytoplasmic release of mRNAs...

Calibration for Quantitative Chemical Analysis in IR Microscopic Imaging.

Analytical chemistry
Infrared spectroscopy of macroscopic samples can be calibrated against reference analysis, such as lipid profiles acquired by gas chromatography, and serve as a fast, low-cost, quantitative analytical method. Calibration of infrared microspectroscopi...

Prediction of high-performing spleen-targeted lipid nanoparticles using a deep learning model for robust anticancer immunotherapy.

Journal of materials chemistry. B
Messenger RNA (mRNA) therapeutics hold significant potential across a wide range of medical applications. LNPs are the most clinically advanced mRNA delivery vehicles, but challenges such as off-target effects and liver accumulation limit their broad...

AI-Validated Brain Targeted mRNA Lipid Nanoparticles with Neuronal Tropism.

ACS nano
Targeting therapeutic nanoparticles to the brain poses a challenge due to the restrictive nature of the blood-brain barrier (BBB). Here we report the development of mRNA-loaded lipid nanoparticles (LNPs) functionalized with BBB-interacting small mole...

A Machine Learning Assisted Tool and Numerical Model for Analyzing Lipid Nanoparticles.

ACS nano
The transfection potency and biological fate of gene-loaded lipid nanoparticles (LNPs) are often determined by their morphological and physicochemical properties. Cryogenic-electron microscopy (cryo-EM) remains the most effective tool to analyze LNP ...

Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network.

Journal of chemical theory and computation
Coarse-grained (CG) lipid models enable efficient simulations of large-scale membrane events. However, achieving both speed and atomic-level accuracy remains challenging. Graph neural networks (GNNs) trained on all-atom (AA) simulations can serve as ...