Results 281 to 290 of about 2,095,304 (391)
Skeletal muscle inflammation and insulin resistance in obesity
Huaizhu Wu, C. Ballantyne
semanticscholar +1 more source
An n‐type organic thermoelectric aerogel PB@CNF, based on PBFDO, is fabricated by a two‐step freeze‐drying process with cellulose nanofiber (CNF) as substrate. The aerogels can be used not only as temperature sensing and piezoresistive sensing, but also to form a flexible organic thermoelectric generator with the p‐type aerogel (PH@CNF) based on PEDOT ...
Chan Zhang+6 more
wiley +1 more source
Mitochondrial Maintenance in Skeletal Muscle. [PDF]
de Smalen LM, Handschin C.
europepmc +1 more source
Making muscle: skeletal myogenesis in vivo and in vitro
J. Chal, O. Pourquié
semanticscholar +1 more source
Advanced Microfluidic‐Based Wearable Electrochemical Sensors for Continuous Biochemical Monitoring
Microfluidic‐based wearable electrochemical sensors are transforming non‐invasive health monitoring through real‐time biochemical analysis of sweat, saliva, and interstitial fluid. This review explores advances in microfluidic design, fabrication, and sensor integration while addressing biofluid variability, material compatibility, and scalability.
Sehyun Park+5 more
wiley +1 more source
This article mainly introduces the pathologic process of sarcopenia and the recent progress in diagnosis and treatment, especially the nondrug treatment. ABSTRACT Sarcopenia refers to the progressive decline and wasting of skeletal muscle function, typically linked to aging or as a secondary effect of various conditions, including systemic inflammation,
Qi‐Fei Kuang+2 more
wiley +1 more source
miRNA-6236 Regulation of Postischemic Skeletal Muscle Angiogenesis. [PDF]
Mani AM+6 more
europepmc +1 more source
The Fine Structure of Myo-tendon Junction in Some Mammalian Skeletal Muscles
Harunori Ishikawa
openalex +1 more source
Risk Factors and Predictive Models for Sarcopenia in Older Adults
Independent risk factors for sarcopenia identified by Lasso regression and logistic regression in the study were BMI, prealbumin, albumin/globulin ratio (A/G ratio), serum creatinine, and phosphorus. These factors were used to construct a nomogram model and a decision tree model. Both models showed effectiveness in predicting sarcopenia in older adults,
Shiyuan Zhang+9 more
wiley +1 more source