Hederagenin () is a novel triterpene template for the development of new antitumor compounds. In this study, 26 new ⁻pyrazine derivatives were synthetized in an attempt to develop potent antitumor agents; they were screened for in vitro cytotoxicity against tumor and non-tumor cell lines The majority of these derivatives showed much stronger cytotoxic activity than . Remarkably, the most potent was compound (half maximal inhibitory concentration (IC) was 3.45 ± 0.59 μM), which exhibited similar antitumor activities against A549 (human non-small-cell lung cancer) as the positive drug cisplatin (; IC was 3.85 ± 0.63 μM), while it showed lower cytotoxicity on H9c2 (murine heart myoblast; IC was 16.69 ± 0.12 μM) cell lines. Compound could induce the early apoptosis and evoke cell-cycle arrest at the synthesis (S) phase of A549 cells. Impressively, we innovatively introduced the method of cluster analysis modeled as partial least squares discriminant analysis (PLS-DA) into the structure⁻activity relationship (SAR) evaluation, and SAR confirmed that pyrazine had a profound effect on the antitumor activity of . The present studies highlight the importance of pyrazine derivatives of in the discovery and development of novel antitumor agents.
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http://dx.doi.org/10.3390/ijms19102994 | DOI Listing |
Sci Rep
December 2024
Bao Feng Key Laboratory of Genetics and Metabolism, Beijing, China.
Many lipid biomarkers of stroke have been identified, but the lipid metabolism in elderly patients with leukoaraiosis remains poorly understood. This study aims to explore lipid metabolic processes in stroke among leukoaraiosis patients, which could provide valuable insights for guiding future antithrombotic therapy. In a cohort of 215 individuals undergoing MRI, 13 stroke patients were matched with controls, and 48 stroke patients with leukoaraiosis were matched with 40 leukoaraiosis patients.
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December 2024
Theoretical Ecology and Engineering Ecology Research Group, School of Life Sciences, Shandong University, Qingdao, Shandong, China.
Temperature and nutrients are known as crucial drivers for the variations of bacterial community structure and functions in oceans and lakes. However, their significance and mechanisms in influencing the bacterial community structure and function in mountain stream remain unclear. In this study, we investigated the spatiotemporal patterns of the bacterial communities and the main environmental factors in the Taizicheng River, a high-latitude mountainous stream, to reveal the main driving factors for sedimental bacterial communities.
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December 2024
Department of Neurology, Hubei General Hospital, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
The effect of sexual dimorphism on the metabolism of patients with Parkinson's disease has not been clarified. A group of patients with Parkinson's disease and healthy controls were recruited, and their clinical characteristics and plasma were collected. Untargeted liquid chromatography-mass spectrometry-based plasma metabolomics profiling was performed.
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December 2024
Germplasm Bank of Wild Species & Yunnan Key Laboratory for Fungal Diversity and Green Development, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China.
Continuous cropping obstacle has been becoming the bottleneck for the stable development of morel cultivation. The allelopathic effect of soil allelochemicals may play an instrumental role in the morel soil sickness. In this study, the allelochemicals were identified by gas chromatography-mass spectrometry (GC-MS) combined with in vitro bioassay.
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December 2024
Department of Food Science and Technology, Zhejiang University of Technology, Hangzhou, 310014, Zhejiang, People's Republic of China.
Visible and Near-infrared hyperspectral imaging (VNIR-HSI) combined with machine learning has shown its effectiveness in various detection applications. Specifically, the quality of cigar tobacco leaves undergoes subtle changes due to environmental differences during the air-curing phase. This study aims to evaluate the feasibility of deep learning methods in overcoming data limitations to develop a VNIR-HSI prediction model for the quality of cigar tobacco leaves at different air-curing levels.
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