S-adenosylmethionine deficit disrupts very low-density lipoprotein metabolism promoting liver lipid accumulation in mice. [PDF]
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]
Lee HC+9 more
europepmc +1 more source
Harnessing the Biological Responses Induced by Nanomaterials for Enhanced Cancer Therapy
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]
Xu M+14 more
europepmc +1 more source
Very low density lipoprotein synthesis and secretion by cultured rat hepatocytes.
Roger J. Davis+4 more
openalex +1 more source
Very low density lipoprotein triglyceride metabolism in relatives of hypertriglyceridemic probands. Evidence for genetic control of triglyceride removal. [PDF]
T Sane, Esko A. Nikkilä
openalex +1 more source
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
Establishing the Role of Liver Fatty Acid-Binding Protein in Post-Golgi Very-Low-Density Lipoprotein Trafficking Using a Novel Fluorescence-Based Assay. [PDF]
Winterfeldt K, Tasin FR, Siddiqi SA.
europepmc +1 more source
Expression of apolipoprotein B epitopes in very low density lipoprotein subfractions. Studies with monoclonal antibodies. [PDF]
Matti J. Tikkanen+4 more
openalex +1 more source
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