Obesity-induced muscle atrophy leads to physical impairment and metabolic dysfunction, which are risky for older adults. The activity of pyruvate dehydrogenase (PDH), a critical regulator of glucose metabolism, is reduced in obesity. Additionally, PDH activator dichloroacetate (DCA) improves metabolic dysfunction. However, the effects of PDH activation on skeletal muscles in obesity remain unclear. Thus, this study aimed to evaluate the effects of PDH activation by DCA treatment on obesity-induced muscle atrophy in vitro and in vivo and elucidate the possible underlying mechanisms. Results showed that PDH activation by DCA treatment ameliorated muscle loss, decreased the cross-sectional area, and reduced grip strength in C57BL/6 mice fed a high-fat diet (HFD). Elevation of muscle atrophic factors atrogin-1 and muscle RING-finger protein-1 (MuRF-1) and autophagy factors LC3BII and p62 were abrogated by DCA treatment in palmitate-treated C2C12 myotubes and in the skeletal muscles of HFD-fed mice. Moreover, p-Akt, p-FoxO1, and p-FoxO3 protein levels were reduced and p-NF-κB p65 and p-p38 MAPK protein levels were elevated in palmitate-treated C2C12 myotubes, which were restored by DCA treatment. However, the protective effects of DCA treatment against myotube atrophy were reversed by treatment with Akt inhibitor MK2206. Taken together, our study demonstrated that PDH activation by DCA treatment can alleviate obesity-induced muscle atrophy. It may serve as a basis for developing novel strategies to prevent obesity-associated muscle loss.
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http://dx.doi.org/10.1016/j.ejphar.2024.176854 | DOI Listing |
PeerJ
January 2025
Department of Medical Imaging, Guangzhou Hospital of Integrated Traditional and Western Medicine, Guangzhou, China.
Background: The 2019 American Heart Association/American Stroke Association (AHA/ASA) guidelines strongly advise using non-contrast CT (NCCT) of the head as a mandatory test for all patients with suspected acute ischemic stroke (AIS) due to CT's advantages of affordability and speed of imaging. Therefore, our objective was to combine patient clinical data with head CT signs to create a nomogram to predict poor outcomes in AIS patients.
Methods: A retrospective analysis was conducted on 161 patients with acute ischemic stroke who underwent mechanical thrombectomy at the Guangzhou Hospital of Integrated Traditional and Western Medicine from January 2019 to June 2023.
Magn Reson Imaging
January 2025
Background: Huai-he Hospital of Henan University, Kaifeng, China. Electronic address:
Objective: To explore the application value of MRI-based imaging histology and deep learning model in the identification and classification of breast phyllodes tumors.
Methods: Seventy-seven patients diagnosed as breast phyllodes tumors and fibroadenomas by pathological examination were retrospectively analyzed, and traditional radiomics features, subregion radiomics features, and deep learning features were extracted from MRI images, respectively. The features were screened and modeled using variance selection method, statistical test, random forest importance ranking method, Spearman correlation analysis, least absolute shrinkage and selection operator (LASSO).
Alzheimers Dement
December 2024
Kobe University Graduate School of Medicine, Kobe City, Japan.
Background: In Japan, the number of patients with dementia is increasing and there is a shortage of human resources who can conduct detailed psychological examinations, and the development and implementation of new tools is essential for improving dementia care. Japan is one of seven sites across the globe focusing on healthcare system preparedness as part of the Davos Alzheimer's Collaborative Early Detection flagship program. As part of this program, Japan implemented new tools including a digital cognitive assessment (DCA) and blood-based biomarker (BBM) to increase rates of early detection of cognitive impairment.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Davos Alzheimer's Collaborative, Wayne, PA, USA.
Background: Cognitive impairment is frequently undetected or undiagnosed in the early stages. To increase the rates of detecting cognitive impairment, the Early Detection program of the Davos Alzheimer's Collaborative System Preparedness (DAC-SP) implemented digital cognitive assessments (DCA) in primary care and other non-specialty settings.
Methods: The DAC-SP Early Detection program was initiated in 2021 in seven healthcare systems across six countries.
Alzheimers Dement
December 2024
Davos Alzheimer's Collaborative, Wayne, PA, USA.
Background: Early symptoms of cognitive impairment are frequently undetected. The Davos Alzheimer's Collaborative System Preparedness (DAC-SP) Early Detection program implemented a digital cognitive assessment (DCA) in primary care and other non-specialty settings to increase the rate of detection of cognitive impairment.
Methods: The DAC-SP Early Detection program was initiated in 2021 in seven healthcare systems across six countries.
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