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http://dx.doi.org/10.1007/s10549-014-3036-1 | DOI Listing |
Aging Med (Milton)
June 2024
Department of Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine Chinese Academy of Medical Sciences Beijing China.
Clin Res Cardiol
December 2024
Department of Cardiology and Angiology, Robert Bosch Medical Center, Auerbachstrasse 110, 70376, Stuttgart, Germany.
Syst Rev
November 2023
Department of Internal Medicine, University of California, Davis, Sacramento, CA, USA.
Background: The COVID-19 pandemic spurred publication of a rapid proliferation of studies on potential therapeutic agents. While important for the advancement of clinical care, pressure to collect, analyze, and report data in an expedited manner could potentially increase the rate of important errors, some of which would be captured in published errata. We hypothesized that COVID-19 therapeutic studies published in the early years of the pandemic would be associated with a high rate of published errata and that, within these errata, there would be a high prevalence of serious errors.
View Article and Find Full Text PDFAutophagy
June 2023
Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
The autophagic-lysosomal pathway of microglia plays a key role in myelin debris removal in white matter damage. As the lipid-rich myelin debris are engulfed by microglia, the cellular autophagic level increases, accompanied by lysosomal dysfunction. However, several issues such as how to regulate this pathway to ensure the effective degradation of myelin debris, and maintain the balance of lipid metabolism are still to be elucidated.
View Article and Find Full Text PDFSyst Biol
June 2023
Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA.
The Lowest Radial Distance (LoRaD) method is a modification of the recently introduced Partition-Weighted Kernel method for estimating the marginal likelihood of a model, a quantity important for Bayesian model selection. For analyses involving a fixed tree topology, LoRaD improves upon the Steppingstone or Thermodynamic Integration (Path Sampling) approaches now in common use in phylogenetics because it requires sampling only from the posterior distribution, avoiding the need to sample from a series of ad hoc power posterior distributions, and yet is more accurate than other fast methods such as the Generalized Harmonic Mean (GHM) method. We show that the method performs well in comparison to the Generalized Steppingstone method on an empirical fixed-topology example from molecular phylogenetics involving 180 parameters.
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