Antiproliferative piperidine alkaloids from the leaves of Alocasia macrorrhiza.

Seventeen piperidine alkaloids, including 15 previously undescribed 2-substituted-6-(9-phenylnonyl)-piperidine-3,4-diol alkaloids and a previously undescribed 2-substituted-6-(9-phenylnonyl)-piperidine-3-ol alkaloid, were isolated from the leaves of Alocasia macrorrhiza (L.) Schott. Their planar structures and configurations were elucidated based on HR-ESI-MS, 1D and 2D NMR, Snatzke's method, modified Mosher method, single-crystal X-ray crystallography, as well as quantum chemical calculation. It was found that ΔδH5b-H5a can be used to elucidate the relative configuration of 2,3,4,6-tetrasubstituted piperidine, by analyzing the NMR data of 2-substituted-6-(9-phenylnonyl)-piperidine-3,4-diol. Antiproliferative activity was evaluated for all of the alkaloids, and compounds 6-8 showed considerable inhibitory activity against K562 cell line, with the IC50 values of 17.24 ± 1.62, 19.31 ± 0.9 and 18.77 ± 1.09µM, respectively. Furthermore, compounds 6 and 7 exerted an antiproliferative effect by inducing apoptosis.

Causal effect of beta-blockers on the risk of lung cancer: a Mendelian randomization study.

Background: It remains uncertain whether there is a causal association of the use of beta-blockers (BBs) on lung cancer risk. We used a two-sample Mendelian randomization (MR) approach to identify the causal association of BBs and lung cancer risk. Methods: Twenty-two BB-related single-nucleotide polymorphisms (SNPs) were obtained from the UK Biobank as the instrumental variables (IVs). Genetic summary data information of lung cancer was extracted from the International Lung Cancer Consortium, with a total of 11,348 cases and 15,861 controls. We adopted the inverse-variance weighted (IVW) approach to conduct the MR analyses. Egger-intercept analysis was further performed as sensitivity analysis for pleiotropy evaluation. Additionally, we investigated whether BBs could causally affect the risk of lung cancer through their pharmacological effects. Results: The current IVW analysis suggested a decreased lung cancer risk in BB users [odds ratio (OR) =0.83; 95% confidence interval (CI): 0.73-0.95; P<0.01]. Results of Egger-intercept analysis demonstrated that no pleiotropy was found (P=0.94), which suggested the robustness of the causality. However, there was little evidence that pharmacological effects mediate the association between BBs and lung cancer. Conclusions: The current analysis suggested that BBs could decrease the risk of lung cancer but may be not via its pharmacological effects. Further research is in need for elucidating the underlying mechanisms.