Alviss

OBJECTIVE Celastrol, a triterpene from the root bark of the Chinese medicinal plant Tripterygium wilfordii, has been shown to exhibit anti-oxidant, anti-inflammatory, anti-cancer and insecticidal activities. Also, it has been demonstrated that celastrol has obesity-controlling effects in diet-induced obesity mice. However, direct evidence that celastrol contributes to the development of adipocyte ...

This study examined the association of whole-body composition and segmental bioimpedance variables with cold pattern (CP) in different sexes. We assigned 667 older individuals to a CP group (n = 488) and a non-CP group (n = 179) by using an eight-item self-administered questionnaire. Seven body composition variables and three pairs of segmental bioimpedance variables for the upper and lower extrem...

Nanomaterials, Vol. 12, Pages 4242: Surface Oxidation of Cu2O Nanoparticles by Adsorbed Ammonia Nanomaterials doi: 10.3390/nano12234242 Authors: Siwoo Lee Ji Won Jang Young Bok Ryu Copper based nanoparticles have been intensively studied owing to their superior antibacterial activity. In this study, cuprous oxide (Cu2O) nanoparticles were synthesized using two different methods. In particular, two...

Sleep disturbances are associated with cold hypersensitivity (CH) and characterized by excessive cold sensation in specific body parts and cold thermal discomfort. This study investigated the effects of short-term sleep restriction followed by a recovery phase on subjective health status, inflammation, and lipid metabolism in different types of CH. A total of 118 healthy adults aged 35 to 44 years...

Healthcare, Vol. 10, Pages 2248: Exploratory Analysis of the Sasang Constitution by Combining Network Analysis and Information Entropy Healthcare doi: 10.3390/healthcare10112248 Authors: Won Yung Lee Sang Hyuk Kim Siwoo Lee Young Woo Kim Ji Hwan Kim Sasang constitutional medicine is a unique concept in Korean medicine that can provide valuable insights into personalized healthcare and disease trea...

Metabolic syndrome (MetS) is a complex condition that appears as a cluster of metabolic abnormalities, and is closely associated with the prevalence of various diseases. Early prediction of the risk of MetS in the middle-aged population provides greater benefits for cardiovascular disease-related health outcomes. This study aimed to apply the latest machine learning techniques to find the optimal ...