Fe‐based magnetic nanocubes conjugated with TRPV1 antibodies (FeNCs‐TRPV1) are developed for the specific targeting of TRPV1 channels. Intraspinally injected FeNCs‐TRPV1 induces TRPV1 desensitization in rats exposed to repetitive and transient ACMF.
Xueying Cheng +15 more
wiley +1 more source
Psoriatic arthritis and sacroiliitis are associated with increased vascular inflammation by 18-fluorodeoxyglucose positron emission tomography computed tomography: baseline report from the Psoriasis Atherosclerosis and Cardiometabolic Disease Initiative [PDF]
Shawn Rose +5 more
openalex +1 more source
CARMN loss promotes VSMC-derived foam cell formation and atherosclerosis through transcriptional downregulation of autophagy. [PDF]
Huang T +6 more
europepmc +1 more source
Research Progress on Idebenone in Neurodegenerative Diseases
The study not only summarizes the biological properties of Idebenone (IDE), including its role in improving mitochondrial function and antioxidative stress, but also explores its clinical research progress in various neurodegenerative diseases, providing a new perspective for the treatment of these disorders.
Yanqing Zhang +10 more
wiley +1 more source
LJ-1888, a selective antagonist for the A3 adenosine receptor, ameliorates the development of atherosclerosis and hypercholesterolemia in apolipoprotein E knock-out mice [PDF]
Jeong, Lak Shin +5 more
core +1 more source
ABSTRACT Background/Objectives Postoperative complications following pancreaticoduodenectomy (PD) remain high, particularly in patients with soft pancreatic texture. Abdominal aortic calcification volume (AACV), a surrogate marker of systemic arteriosclerosis, has been associated with increased surgical risk in lower gastrointestinal procedures ...
Masaki Horiuchi +9 more
wiley +1 more source
Blood Pressure in Adolescence and Atherosclerosis in Middle Age.
Herraiz-Adillo Á +11 more
europepmc +1 more source
Long-term prognostic value of coronary atherosclerosis progression in patients with and without diabetes mellitus. [PDF]
Meng Q +6 more
europepmc +1 more source
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi +5 more
wiley +1 more source

