Results 191 to 200 of about 186,882 (307)

FGF2 rescues denervation-induced muscle atrophy in Ambystoma mexicanum. [PDF]

Skelet Muscle
Nakayama H, Ohashi A, Yamamoto S, Furukawa S, Satoh A.   +4 more
europepmc   +1 more source

The Effect of Resistance Training and Ursolic Acid on the PI3K‐AKT‐mTOR Pathway in Aged Diabetic Rats: A Comparative Study

AGING MEDICINE, EarlyView.
Resistance training combined with ursolic acid supplementation restores anabolic signaling (PI3K/mTORC1) suppressed by diabetes, helping preserve muscle mass. This strategy may offer a potential therapeutic approach to combat muscle atrophy and support healthy aging in diabetic conditions.
Ashkan Sadeghi, Safoura Alizade, Mohammad Faramarzi, Mostafa Rahimi, Rohit Kumar Thapa   +4 more
wiley   +1 more source

Current Progress in the Role of Ferroptosis in Skeletal Muscle Atrophy. [PDF]

Mediators Inflamm
Chen Y, Guo Y, Zhao Z, Yang S, Guo B, Xu J.   +5 more
europepmc   +1 more source

Biomarkers of Sarcopenia: Current Status and Future Perspectives

AGING MEDICINE, EarlyView.
In this review, we summarize the various biomarkers discovered in recent years, including biochemical, imaging, and physical testing markers. We analyze their advantages and disadvantages and propose potential ways to improve the diagnostic accuracy of biomarkers, as well as future research directions.
Bijin Luo, Wenhan Li, Yi Zhang, Mengchen Liu, Kemeng Zhang, Sui Huang, Ping He   +6 more
wiley   +1 more source

A Systematic Review and User Reference of Phenotypic and Molecular Characteristics of Dexamethasone-Mediated C2C12 Muscle Atrophy. [PDF]

J Cachexia Sarcopenia Muscle
Klein AJ, Vaughan RA.
europepmc   +1 more source

Sex‐Based Body Composition Changes in Patients With Rectal Cancer Undergoing Preoperative Chemoradiotherapy: A Prospective Observational Study

Annals of Gastroenterological Surgery, EarlyView.
This prospective study observed that preoperative chemoradiotherapy for rectal cancer was associated with reductions in body fat and grip strength, which appeared to be more pronounced in female patients. These findings suggest that sex‐sensitive nutritional and exercise support may be beneficial to help maintain muscle mass and physical function ...
Shinya Abe, Hiroaki Nozawa, Kentaro Abe, Yumi Yokota, Shunsuke Hori, Yusuke Taguchi, Mitsutaka Yakabe, Kazuhito Sasaki, Sumito Ogawa, Soichiro Ishihara   +9 more
wiley   +1 more source

The Association of Vascular Health With Cervical Paraspinal Muscle Atrophy and Disc Degeneration. [PDF]

Global Spine J
Verna B, Guven AE, Mielke AM, Burkhard MD, Tripathi V, Slawitsky J, Tsuchiya K, Wimmer J, Folkerts T, Rochas Torres P, Zhu J, Shue J, Sama AA, Girardi FP, Cammisa FP, Hughes AP.   +15 more
europepmc   +1 more source

Recent Advances in Functional Liver Volumetry: Emphasis on 99mTc‐GSA SPECT/CT Fusion Imaging

Annals of Gastroenterological Surgery, EarlyView.
Functional liver volumetry enables more accurate assessment of the future liver remnant by integrating anatomical and functional information, improving risk stratification before major hepatectomy. Among available techniques, 99mTc‐GSA SPECT/CT fusion imaging enables precise regional functional assessment and more reliable prediction of post ...
Toru Beppu, Toshiro Masuda, Yasunori Nagayama, Hidetoshi Nitta, Hiromitsu Hayashi   +4 more
wiley   +1 more source

Reduced skeletal muscle perfusion accompanies skeletal muscle atrophy after severe spinal cord injury. [PDF]

J Appl Physiol (1985)
Clayton ZS, Nguyen BL, Kok HJ, Reynolds MC, Conover CF, Wnek RD, Buckley KH, Kura JR, Otzel DM, Luo YE, Barton ER, Beck DT, McCullough DJ, Yarrow JF.   +13 more
europepmc   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source