Design, synthesis, and bioactivity evaluation of novel indole-selenide derivatives as P-glycoprotein inhibitors against multi-drug resistance in MCF-7/ADR cell.

The inhibition of P-glycoprotein (P-gp) has emerged as an intriguing strategy for circumventing multidrug resistance (MDR) in anticancer chemotherapy. In this study, we have designed and synthesized 30 indole-selenides as a new class of P-gp inhibitors based on the scaffold hopping strategy. Among them, the preferred compound H27 showed slightly stronger reversal activity (reversal fold: 271.7 vs 261.6) but weaker cytotoxicity (inhibition ratio: 33.7% vs 45.1%) than the third-generation P-gp inhibitor tariquidar on the tested MCF-7/ADR cells. Rh123 accumulation experiments and Western blot analysis demonstrated that H27 displayed excellent MDR reversal activity by dose-dependently inhibiting the efflux function of P-gp rather than its expression. Besides, UIC-2 reactivity shift assay revealed that H27 could bind to P-gp directly and induced a conformation change of P-gp. Moreover, docking study revealed that H27 matched well in the active pockets of P-gp by forming some key H-bonding interactions, arene-H interactions and hydrophobic contacts. These results suggested that H27 is worth to be a starting point for the development of novel Se-containing P-gp inhibitors for clinic use.

Time Convolutional Network-Based Maneuvering Target Tracking with Azimuth-Doppler Measurement.

In the field of maneuvering target tracking, the combined observations of azimuth and Doppler may cause weak observation or non-observation in the application of traditional target-tracking algorithms. Additionally, traditional target tracking algorithms require pre-defined multiple mathematical models to accurately capture the complex motion states of targets, while model mismatch and unavoidable measurement noise lead to significant errors in target state prediction. To address those above challenges, in recent years, the target tracking algorithms based on neural networks, such as recurrent neural networks (RNNs), long short-term memory (LSTM) networks, and transformer architectures, have been widely used for their unique advantages to achieve accurate predictions. To better model the nonlinear relationship between the observation time series and the target state time series, as well as the contextual relationship among time series points, we present a deep learning algorithm called recursive downsample-convolve-interact neural network (RDCINN) based on convolutional neural network (CNN) that downsamples time series into subsequences and extracts multi-resolution features to enable the modeling of complex relationships between time series, which overcomes the shortcomings of traditional target tracking algorithms in using observation information inefficiently due to weak observation or non-observation. The experimental results show that our algorithm outperforms other existing algorithms in the scenario of strong maneuvering target tracking with the combined observations of azimuth and Doppler.

Activation of necroptosis pathway in podocyte contributes to the pathogenesis of focal segmental glomerular sclerosis.

BACKGROUND: Focal segmental glomerulosclerosis (FSGS) is characterized by podocyte damage and severe proteinuria. The exact mechanism of podocyte damage and loss remains unclear. Necroptosis, a lytic form of programmed cell death mediated by RIP3 and MLKL, has emerged as an important cell death pattern in multiple tissues and cell types. Necroptosis in FSGS has not been investigated. METHODS: Public GEO data regarding podocyte treated with vehicle or adriamycin (ADR) was identified and analyzed. Cultured human podocytes were used to explore the activation of necroptosis upon ADR stimulation. The expression of necroptosis pathway molecules, p-RIP3 and p-MLKL, was examined in the glomeruli and defoliated urinary podocytes of patients with FSGS. The effect of necroptosis inhibition was assessed in ADR-induced glomerulopathy mice using GSK872. RESULTS: Publicly available RNA-sequencing data analysis showed that both necroptosis and NLRP3 inflammasome pathway were up-regulated in ADR-injured podocyte. Immunofluorescent staining showed increased expression of p-RIP3 and p-MLKL, the active forms of RIP3 and MLKL, in podocytes of FSGS patients and ADR-induced glomerulopathy mice but not in the normal control. GSK872, an RIP3 kinase inhibitor, significantly inhibited the expression of p-RIP3, p-MLKL and activation of NLRP3 in cultured podocytes treated with ADR. GSK872 treatment of mice with ADR-induced nephropathy resulted in the reduced expression of p-RIP3, p-MLKL, NLRP3 and caspase-1 p20. GSK872 also significantly inhibited the expression of p-MLKL in the podocytes of ADR-induced nephropathy, resulting in the attenuation of proteinuria and renal histological lesions. CONCLUSION: Necroptosis pathway might be a valuable target for the treatment of FSGS.

Pathogenesis of lupus nephritis: RIP3 dependent necroptosis and NLRP3 inflammasome activation.

RIP3 activation leads to activation of necroptosis and the NLRP3 inflammasome pathways. The activation of RIP3 in lupus nephritis (LN) has not been investigated. In this study, RIP3 and necroptosis pathway activations were demonstrated in podocytes in renal biopsies from patients with class IV LN and in the diseased kidneys from lupus-prone NZM2328 and MRL/lpr mice. RIP3 activation was accompanied with the activation of MLKL, the effector molecule of the necroptosis pathway, and activation of caspase-1, the effector of the NLRP3 inflammasome pathway. Podocyte activation of RIP3 was detected readily with the development of LN in NZM2328 mice, suggesting this activation may play a significant role in the pathogenesis of LN. GSK872, a RIP3 specific inhibitor, inhibited the development of LN in MRL/lpr mice with down-regulation of RIP3 activation in podocytes, decreased the splenic sizes and weights and anti-dsDNA antibody titers. IgG from pooled sera of diseased NZM2328 mice succumbing to LN induced both the necroptosis pathway and NLRP3 inflammasome activation in a podocyte cell line and this activation was specifically blocked by GSK872. These results indicate that the necroptosis pathway and the RIP3 dependent NLRP3 inflammasome pathway are activated in podocytes during LN. Inhibition of RIP3 kinase may be a novel therapeutic approach to treat LN and systemic lupus erythematosus (SLE).

Podocyte Activation of NLRP3 Inflammasomes Contributes to the Development of Proteinuria in Lupus Nephritis.

OBJECTIVE: Development of proteinuria in lupus nephritis (LN) is associated with podocyte dysfunction. The NLRP3 inflammasome has been implicated in the pathogenesis of LN. The purpose of this study was to investigate whether NLRP3 inflammasome activation is involved in the development of podocyte injury in LN. METHODS: A fluorescence-labeled caspase 1 inhibitor probe was used to detect the activation of NLRP3 inflammasomes in podocytes derived from lupus-prone NZM2328 mice and from renal biopsy tissues obtained from patients with LN. MCC950, a selective inhibitor of NLRP3, was used to treat NZM2328 mice. Proteinuria, podocyte ultrastructure, and renal pathology were evaluated. In vitro, sera from diseased NZM2328 mice were used to stimulate a podocyte cell line, and the cells were analyzed by flow cytometry. RESULTS: NLRP3 inflammasomes were activated in podocytes from lupus-prone mice and from patients with LN. Inhibition of NLRP3 with MCC950 ameliorated proteinuria, renal histologic lesions, and podocyte foot process effacement in lupus-prone mice. In vitro, sera from diseased NZM2328 mice activated NLRP3 inflammasomes in the podocyte cell line through the production of reactive oxygen species. CONCLUSION: NLRP3 inflammasomes were activated in podocytes from lupus-prone mice and from LN patients. Activation of NLRP3 is involved in the pathogenesis of podocyte injuries and the development of proteinuria in LN.

Relationship between PPARγ Pro12Ala gene polymorphism and type 2 diabetic nephropathy risk in Asian population: results from a meta-analysis.

The relationship between peroxisome proliferator-activated receptor gamma (PPARγ) Pro12Ala gene polymorphism and type 2 diabetic nephropathy (T2DN) risk in Asians is still unclear. This study was performed to evaluate if there was an association between the PPARγ Pro12Ala gene polymorphism and T2DN risk in Asians using meta-analysis. The relevant reports were searched and identified from PubMed, Cochrane Library and CBM-disc (China Biological Medicine Database) on 1 October 2013, and eligible studies were included and synthesized. Ten reports were recruited into this meta-analysis for the association of the PPARγ Pro12Ala gene polymorphism with T2DN risk. The Pro12Ala gene polymorphism in the Asian population was shown to be not associated with T2DN risk (Ala/Ala: OR = 0.67, 95% CI: 0.22-2.00, p = 0.47; Pro/Pro: OR = 1.77, 95% CI: 0.82-1.65, p = 0.39; Ala allele: OR = 0.74, 95% CI: 0.47-1.16, p = 0.19). In the sensitivity analysis according to Hardy-Weinberg equilibrium (HWE), the control source from hospital, the control source from population, the genotyping methods using PCR-RFLP, the genotyping methods using Taqman, sample size of case (≥ 100), the association of the PPARγ Pro12Ala gene polymorphism with T2DN risk was also not found. Interestingly, in the sensitivity analysis according to sample size of case (<100), Ala allele was associated with T2DN risk, but not the Pro/Pro genotype. However, the sample size for sensitivity analysis according to sample size of case (<100) was relatively small and therefore, the results should be interpreted with care. In conclusion, the PPARγ Pro12Ala gene polymorphism was not associated with T2DN risk in Asians. However, Ala allele was associated with T2DN risk when the sample size of case was less than 100. Nonetheless, additional studies are required to firmly establish a correlation between the PPARγ Pro12Ala gene polymorphism and T2DN risk in Asians.