Results 161 to 170 of about 147,523 (312)

S-adenosylmethionine deficit disrupts very low-density lipoprotein metabolism promoting liver lipid accumulation in mice. [PDF]

open access: yesJ Lipid Res
Luque-Urbano MR   +10 more
europepmc   +1 more source

The role of postprandial very-low-density lipoprotein in the development of atrial remodeling in metabolic syndrome. [PDF]

open access: yesLipids Health Dis, 2020
Lee HC   +9 more
europepmc   +1 more source

Harnessing the Biological Responses Induced by Nanomaterials for Enhanced Cancer Therapy

open access: yesAggregate, EarlyView.
Nanomaterial (NM)‐induced toxicity can be strategically repurposed for cancer therapy. This review summarizes the mechanism by which NMs selectively activate specific cellular processes to regulate cell fate independently. We also discussed how NMs‐induced biological responses can be leveraged as therapeutic strategies for cancer treatment.
Liting Wang   +6 more
wiley   +1 more source

Rab2A-mediated Golgi-lipid droplet interactions support very-low-density lipoprotein secretion in hepatocytes. [PDF]

open access: yesEMBO J
Xu M   +14 more
europepmc   +1 more source

Very low density lipoprotein synthesis and secretion by cultured rat hepatocytes.

open access: hybrid, 1979
Roger J. Davis   +4 more
openalex   +1 more source

A Multifunctional Probe for Visualization of the Nanoscale Distribution of Cholesterol in Cells by Expansion Microscopy

open access: yesAggregate, EarlyView.
We develop an azido‐ and amino‐functionalized cholesterol probe that can be efficiently fixed and used for expansion microscopy (ExM). This cholesterol probe enables nanoscale tracking of cholesterol distribution dynamics in the endocytic pathway. Combining 10‐fold robust ExM and structured illumination microscopy allows us to resolve cholesterol ...
Gang Wen   +3 more
wiley   +1 more source

Enhanced Multitask Learning with Attention Sparse Routing Mechanism for Intelligent Diabetes Prediction

open access: yesAdvanced Intelligent Systems, EarlyView.
The model leverages patient time‐space information for pattern feature representations. Encoders extract first and second‐order features, aggregated with categorical embeddings and dense features. Task‐specific and shared experts use gated networks, with a dispatch layer routing information for diabetes risk evaluation and blood glucose prediction ...
Yingshuai Wang   +8 more
wiley   +1 more source

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