Results 241 to 250 of about 782,334 (339)

Remote Activation of Spinal TRPV1 by Magnetic Nanocubes Confers Cardioprotection Against Myocardial Ischemia‐Reperfusion Injury

open access: yesAdvanced Science, EarlyView.
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

Research Progress on Idebenone in Neurodegenerative Diseases

open access: yesAGING MEDICINE, EarlyView.
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

Atherosclerosis in Ruminants

open access: yesJournal of Animal Science, 1971
K D, Wiggers, N L, Jacobson, R, Getty
openaire   +3 more sources

Preoperative Aortic Calcification Volume Predicts Postoperative Complications in Nonpancreatic Cancer Patients Undergoing Pancreaticoduodenectomy

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
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.

open access: yesJAMA Cardiol
Herraiz-Adillo Á   +11 more
europepmc   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Home - About - Disclaimer - Privacy