Rebalancing of the gut flora and microbial metabolism is responsible for the anti-arthritis effect of kaempferol.

Kaempferol is a natural flavonol that possesses various pharmacological activities, including anti-arthritis effects, yet the underlying mechanisms remain controversial. To evaluate the anti-arthritis efficacy and the underlying mechanisms of kaempferol, collagen-induced arthritis (CIA) mice were treated with kaempferol intragastrically (200 mg · kg-1 · d-1) and intraperitoneally (20 mg · kg-1 · d-1). Pharmacodynamic and pharmacokinetic studies showed that the oral administration of kaempferol produced distinct anti-arthritis effects in model mice with arthritis in terms of the spleen index, arthritis index, paw thickness, and inflammatory factors; the bioavailability (1.5%, relative to that of the intraperitoneal injection) and circulatory exposure of kaempferol (Cmax = 0.23 ± 0.06 ng/mL) and its primary metabolite kaempferol-3-O-glucuronide (Cmax = 233.29 ± 89.64 ng/mL) were rather low. In contrast, the intraperitoneal injection of kaempferol caused marginal anti-arthritis effects, although it achieved a much higher in vivo exposure. The much higher kaempferol content in the gut implicated a potential mechanism involved in the gut. Analysis of 16S ribosomal RNA revealed that CIA caused imbalance of 14 types of bacteria at the family level, whereas kaempferol largely rebalanced the intestinal microbiota in CIA mice. A metabolomics study showed that kaempferol treatment significantly reversed the perturbation of metabolites involved in energy production and the tryptophan, fatty acid and secondary bile acid metabolisms in the gut contents of the CIA mice. In conclusion, we demonstrate for the first time that the high level of kaempferol in the gut regulates the intestinal flora and microbiotic metabolism, which are potentially responsible for the anti-arthritis activities of kaempferol.

Activation of the Nrf2 response by intrinsic hepatotoxic drugs correlates with suppression of NF-κB activation and sensitizes toward TNFα-induced cytotoxicity.

Drug-induced liver injury (DILI) is an important problem both in the clinic and in the development of new safer medicines. Two pivotal adaptation and survival responses to adverse drug reactions are oxidative stress and cytokine signaling based on the activation of the transcription factors Nrf2 and NF-κB, respectively. Here, we systematically investigated Nrf2 and NF-κB signaling upon DILI-related drug exposure. Transcriptomics analyses of 90 DILI compounds in primary human hepatocytes revealed that a strong Nrf2 activation is associated with a suppression of endogenous NF-κB activity. These responses were translated into quantitative high-content live-cell imaging of induction of a selective Nrf2 target, GFP-tagged Srxn1, and the altered nuclear translocation dynamics of a subunit of NF-κB, GFP-tagged p65, upon TNFR signaling induced by TNFα using HepG2 cells. Strong activation of GFP-Srxn1 expression by DILI compounds typically correlated with suppression of NF-κB nuclear translocation, yet reversely, activation of NF-κB by TNFα did not affect the Nrf2 response. DILI compounds that provided strong Nrf2 activation, including diclofenac, carbamazepine and ketoconazole, sensitized toward TNFα-mediated cytotoxicity. This was related to an adaptive primary protective response of Nrf2, since loss of Nrf2 enhanced this cytotoxic synergy with TNFα, while KEAP1 downregulation was cytoprotective. These data indicate that both Nrf2 and NF-κB signaling may be pivotal in the regulation of DILI. We propose that the NF-κB-inhibiting effects that coincide with a strong Nrf2 stress response likely sensitize liver cells to pro-apoptotic signaling cascades induced by intrinsic cytotoxic pro-inflammatory cytokines.

Phylogenetic studies of two Anas platyrhynchos (Anatini: Anatinae) in Hunan province of China based on complete mitochondrial DNA sequences.

In this study, we cloned and sequenced the complete mitochondrial DNAs of Chinese duck, Anas platyrhynchos, population from two different areas of Hunan province in China. The Anas platyrhynchos breed Linwu duck (LW) sample was taken from the Linwu county of Chenzhou city, and the Anas platyrhynchos breed Youxian duck (YX) sample was taken from the Youxian county of Zhuzhou city. The lengths of their complete mitochondrial genome were 16,604 bp (LW) and 16,606 bp (YX), respectively. The organization of the two Anas platyrhynchos breed mitochondrial genomes was similar to those reported from other duck mitochondrial genomes. Phylogenetic analyses using N-J computational algorithms showed that the analyzed species are divided into four major clades: Anatinae, Anserinae, Dendrocygninae and Anseranatidae. Also, the Linwu duck and Youxian duck have highly similar phylogenetic relationship.

Ultra high content image analysis and phenotype profiling of 3D cultured micro-tissues.

In many situations, 3D cell cultures mimic the natural organization of tissues more closely than 2D cultures. Conventional methods for phenotyping such 3D cultures use either single or multiple simple parameters based on morphology and fluorescence staining intensity. However, due to their simplicity many details are not taken into account which limits system-level study of phenotype characteristics. Here, we have developed a new image analysis platform to automatically profile 3D cell phenotypes with 598 parameters including morphology, topology, and texture parameters such as wavelet and image moments. As proof of concept, we analyzed mouse breast cancer cells (4T1 cells) in a 384-well plate format following exposure to a diverse set of compounds at different concentrations. The result showed concentration dependent phenotypic trajectories for different biologically active compounds that could be used to classify compounds based on their biological target. To demonstrate the wider applicability of our method, we analyzed the phenotypes of a collection of 44 human breast cancer cell lines cultured in 3D and showed that our method correctly distinguished basal-A, basal-B, luminal and ERBB2+ cell lines in a supervised nearest neighbor classification method.

Automated analysis of NF-κB nuclear translocation kinetics in high-throughput screening.

Nuclear entry and exit of the NF-κB family of dimeric transcription factors plays an essential role in regulating cellular responses to inflammatory stress. The dynamics of this nuclear translocation can vary significantly within a cell population and may dramatically change e.g. upon drug exposure. Furthermore, there is significant heterogeneity in individual cell response upon stress signaling. In order to systematically determine factors that define NF-κB translocation dynamics, high-throughput screens that enable the analysis of dynamic NF-κB responses in individual cells in real time are essential. Thus far, only NF-κB downstream signaling responses of whole cell populations at the transcriptional level are in high-throughput mode. In this study, we developed a fully automated image analysis method to determine the time-course of NF-κB translocation in individual cells, suitable for high-throughput screenings in the context of compound screening and functional genomics. Two novel segmentation methods were used for defining the individual nuclear and cytoplasmic regions: watershed masked clustering (WMC) and best-fit ellipse of Voronoi cell (BEVC). The dynamic NFκB oscillatory response at the single cell and population level was coupled to automated extraction of 26 analogue translocation parameters including number of peaks, time to reach each peak, and amplitude of each peak. Our automated image analysis method was validated through a series of statistical tests demonstrating computational efficient and accurate NF-κB translocation dynamics quantification of our algorithm. Both pharmacological inhibition of NF-κB and short interfering RNAs targeting the inhibitor of NFκB, IκBα, demonstrated the ability of our method to identify compounds and genetic players that interfere with the nuclear transition of NF-κB.