Targeting cellular senescence in senile osteoporosis: therapeutic potential of traditional Chinese medicine

Senile osteoporosis (SOP) is a prevalent manifestation of age-related bone disorders, resulting from the dysregulation between osteoblast (OB)-mediated bone formation and osteoclast (OC)-mediated bone resorption, coupled with the escalating burden of cellular senescence. Traditional Chinese medicine (TCM) herbs, renowned for their remarkable attributes encompassing excellent tolerability, low toxicity, heightened efficacy, and minimal adverse reactions, have gained considerable traction in OP treatment. Emerging evidence substantiates the therapeutic benefits of various TCM formulations and their active constituents, including Zuogui wan, Fructus Ligustri Lucidi, and Resveratrol, in targeting cellular senescence to address SOP. However, a comprehensive review focusing on the therapeutic efficacy of TCM against SOP, with a particular emphasis on senescence, is currently lacking. In this review, we illuminate the pivotal involvement of cellular senescence in SOP and present a comprehensive exploration of TCM formulations and their active ingredients derived from TCM, delineating their potential in SOP treatment through their anti-senescence properties. Notably, we highlight their profound effects on distinct aging models that simulate SOP and various senescence characteristics. Finally, we provide a forward-looking discussion on utilizing TCM as a strategy for targeting cellular senescence and advancing SOP treatment. Our objective is to contribute to the unveiling of safer and more efficacious therapeutic agents for managing SOP

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

Accessible machine learning algorithms, software, and diagnostic tools for energy-efficient devices and systems are extremely valuable across a broad range of application domains. In scientific domains, real-time near-sensor processing can drastically improve experimental design and accelerate scientific discoveries. To support domain scientists, we have developed hls4ml, an open-source software-hardware codesign workflow to interpret and translate machine learning algorithms for implementation with both FPGA and ASIC technologies. We expand on previous hls4ml work by extending capabilities and techniques towards low-power implementations and increased usability: new Python APIs, quantization-aware pruning, end-to-end FPGA workflows, long pipeline kernels for low power, and new device backends include an ASIC workflow. Taken together, these and continued efforts in hls4ml will arm a new generation of domain scientists with accessible, efficient, and powerful tools for machine-learning-accelerated discovery.Comment: 10 pages, 8 figures, TinyML Research Symposium 202

UHPLC-ESI-MS Analysis of Purified Flavonoids Fraction from Stem of Dendrobium denneaum Paxt.

Dendrobium denneaum paxt., which has been widely used for health prevention in traditional Chinese medicine (TCM), is one of the most popular tonic herbs in China. In order to analyze its flavonoids, characterization and antitumor activity of crude extract and flavonoids rich fractions from D. denneaum paxt. were investigated. Flavonoids extracted from D. denneaum paxt. were clearly enriched in fraction II after determining the total flavonoids content; there were 15 characteristic peaks which have been detected; ultra-high performance liquid chromatography-electrospray ionization/mass spectrometry (UHPLC-ESI-MS/MS) was applied for structural elucidation of compounds. 13 characteristic peaks including flavonoid-O-glycosides and flavonoid-C-glycosides were determined or preliminarily characterized through comparing retention times and UV and MS spectra with standard compounds or documented literature. The antitumor activity of fraction II on human liver cancer cells HepG2 was investigated. MTT assay method was used to test the antiproliferation activity and to confirm the appropriate treatment concentration as well as inducing time. The morphological changes of the apoptosis cells after being induced by fraction II were observed by a Hoechst reagent and the apoptosis rate was tested by flow cytometry. The results showed that fraction II can inhibit HepG2 cells from proliferation in a dose-dependent and time-dependent manner. The apoptosis experiments indicated that fraction II can significantly induce apoptosis in HepG2 cells in a concentration over 50 μg/mL for 48 h and the most effective level was 150 μg/mL for 48 h

Asymmetry of causal inference in reading

This study investigated how knowledge of causality representations affects the reading in Japanese. In Experiment 1, 24 participants read events presented in cause-to-effect or effect-to-cause order without causal conjunctions. The latter received longer reading times and more regressions than the former even when probability and predictability were balanced. Experiment 2 examined whether this reading order effect was derived from a default reasoning asymmetry (i.e., reasoning from cause to effect is favored over that from effect to cause). We utilized epistemic constructions to explicitly identify the reasoning direction. Self-paced reading results from 24 participants showed that readers were more efficient when reading cause-event as the evidence, effect-event as the conclusion vis-a-vis the counterpart, confirming the reasoning asymmetry. However, reading order effect remained robust, presumably reflecting that causal reasoning is temporally embodied