Permanent magnet synchronous motor demagnetization fault diagnosis based on PCA-ISSA-PNN.

Aiming at the demagnetization fault problem of the permanent magnet synchronous motor (PMSM), a demagnetization fault diagnosis method based on the combination of the principal component analysis (PCA) algorithm, the improved sparrow search algorithm (ISSA), and the probabilistic neural network (PNN) algorithm is proposed. First, the principal components of phase currents are extracted using PCA. Second, ISSA is used to optimize the smoothing coefficients of the PNN algorithm, and the optimized PNN algorithm is combined with PCA to obtain the PCA-ISSA-PNN fault diagnosis model. Finally, the established fault diagnosis model was tested using the current data collected from the experiments and compared with the fault diagnosis indexes and optimization performance of the conventional PNN, PCA-PNN, PCA-GA (genetic algorithm)-PNN, PCA-DA (dragonfly algorithm)-PNN, PCA-GTO (artificial gorilla troop optimizer)-PNN, PCA-AHA-PNN, and PCA-SSA-PNN. The test results show that the fault diagnosis accuracy of PCA-ISSA-PNN reaches 95.83%, and the fault diagnosis indexes are significantly higher than those of PNN, PCA-PNN, PCA-GA-PNN, and PCA-DA-PNN; its optimization performance is also significantly better than that of PCA-GTO-PNN, PCA-AHA-PNN, and PCA-SSA-PNN, which verifies the accuracy and efficiency of the proposed method.

A systematic review and meta-analysis of the anti-tumor effects of Paeoniae Radix Rubra in animal models.

ETHNOPHARMACOLOGICAL RELEVANCE: Paeoniae Radix Rubra (PRR) is the dried root of Paeonia lactiflora Pall, which has been widely used to anti-thrombotic, lipid-lowering, anti-spasmodic, antioxidant, antibacterial, hepatoprotective, and anti-tumor in Chinese clinical practice. Recent research has demonstrated that PRR plays a significant anti-tumor role in animal models of tumor-bearing. AIM OF THE STUDY: There has not been the evaluation of the anti-tumor effects of PRR. This study conducts a meta-analysis to assess the anti-tumor efficacy of PRR on animal models, providing scientific evidence for clinical application of PRR in the adjuvant therapy of tumors. MATERIALS AND METHODS: English databases (PubMed, The Cochrane Library, Embase, and Web of Science) and Chinese databases (CNKI, WanFang, SinoMed, CTSJ-VIP) were used to search all pertinent animal studies investigating the anti-tumor effects of PRR and its extracts. The quality of the included studies was evaluated using the SYRCLE animal experiment risk assessment tool, and statistical analysis was carried out using Revman 5.3 software. Egger's test and funnel plots were used to assess potential publication bias in the studies. RESULTS: The initial search produced a total of 3905 potentially pertinent studies, and 24 studies met the inclusion criteria. These studies included animal tumor models of hepatocellular carcinoma, lung cancer, sarcoma, bladder cancer, leukemia, colon cancer, glioblastoma, and pancreatic cancer. The meta-analysis findings demonstrated that both PRR and its extracts significantly inhibited tumor growth in animals. Compared with the control group, PRR substantively inhibited tumor volume (SMD, -3.09; 95% CI, [-4.05, -2.13]; P < 0.0001), reduced tumor weight (SMD, -1.08; 95% CI, [-1.37, -0.78]; P < 0.0001), decreased tumor number (SMD, -2.16; 95% CI, [-3.45, -0.86]; P = 0.001), and prolonged the survival duration time (SMD, 0.97; 95% CI, [0.23, 1.71]; P = 0.01) on the experimental animals. CONCLUSIONS: PRR displayed a potential therapeutic efficacy on eight tumors in animal models including hepatocellular carcinoma, lung cancer, sarcoma, bladder cancer, leukemia, colon cancer, glioblastoma, and pancreatic cancer. However, the quality and quantity of included studies may affect the accuracy of positive results. In the future, more high-quality randomized controlled animal experiments are need for meta-analysis.

Microrobot Path Planning Based on the Multi-Module DWA Method in Crossing Dense Obstacle Scenario.

A hard issue in the field of microrobots is path planning in complicated situations with dense obstacle distribution. Although the Dynamic Window Approach (DWA) is a good obstacle avoidance planning algorithm, it struggles to adapt to complex situations and has a low success rate when planning in densely populated obstacle locations. This paper suggests a multi-module enhanced DWA (MEDWA) obstacle avoidance planning algorithm to address the aforementioned issues. An obstacle-dense area judgment approach is initially presented by combining Mahalanobis distance, Frobenius norm, and covariance matrix on the basis of a multi-obstacle coverage model. Second, MEDWA is a hybrid of enhanced DWA (EDWA) algorithms in non-dense areas with a class of two-dimensional analytic vector field methods developed in dense areas. The vector field methods are used instead of the DWA algorithms with poor planning performance in dense areas, which greatly improves the passing ability of microrobots over dense obstacles. The core of EDWA is to extend the new navigation function by modifying the original evaluation function and dynamically adjusting the weights of the trajectory evaluation function in different modules using the improved immune algorithm (IIA), thus improving the adaptability of the algorithm to different scenarios and achieving trajectory optimization. Finally, two scenarios with different obstacle-dense area locations were constructed to test the proposed method 1000 times, and the performance of the algorithm was verified in terms of step number, trajectory length, heading angle deviation, and path deviation. The findings indicate that the method has a smaller planning deviation and that the length of the trajectory and the number of steps can both be reduced by about 15%. This improves the ability of the microrobot to pass through obstacle-dense areas while successfully preventing the phenomenon of microrobots going around or even colliding with obstacles outside of dense areas.

Celastrol-regulated gut microbiota and bile acid metabolism alleviate hepatocellular carcinoma proliferation by regulating the interaction between FXR and RXRα in vivo and in vitro.

Celastrol, a triterpene derived from Thunder God Vine (Tripterygium wilfordii Hook f; Celastraceae), a traditional Chinese herb, has promising anticancer activity. The present study aimed to elucidate an indirect mechanism of celastrol-mediated alleviation of hepatocellular carcinoma (HCC) via gut microbiota-regulated bile acid metabolism and downstream signaling. Here, we constructed a rat model of orthotopic HCC and performed 16S rDNA sequencing and UPLC-MS analysis. The results showed that celastrol could regulate gut bacteria; suppress the abundance of Bacteroides fragilis; raise the levels of glycoursodeoxycholic acid (GUDCA), a bile acid; and alleviate HCC. We found that GUDCA suppressed cellular proliferation and induced the arrest of mTOR/S6K1 pathway-associated cell cycle G0/G1 phase in HepG2 cells. Further analyses using molecular simulations, Co-IP, and immunofluorescence assays revealed that GUDCA binds to farnesoid X receptor (FXR) and regulates the interaction of FXR with retinoid X receptor a (RXRα). Transfection experiments using the FXR mutant confirmed that FXR is essential for GUCDA-mediated suppression of HCC cellular proliferation. Finally, animal experiments showed that the treatment with the combination of celastrol/GUDCA alleviated the adverse effects of celastrol alone treatment on body weight loss and improved survival in rats with HCC. In conclusion, the findings of this study suggest that celastrol exerts an alleviating effect on HCC, in part via regulation of the B. fragilis-GUDCA-FXR/RXRα-mTOR axis.

A Bibliometric Visualization Analysis on Vaccine Development of Coronavirus Disease 2019 (COVID-19).

Coronavirus disease 2019 (COVID-19), beginning in December 2019, has spread worldwide, leading to the death of millions. Owing to the absence of definitive treatment, vaccination against COVID-19 emerged as an effective strategy against the spread of the pandemic. Acceptance of the COVID-19 vaccine has advanced considerably, and vaccine-related research has significantly increased over the past three years. This study aimed to evaluate the content and external characteristics of COVID-19 vaccine-related literature for tracking research trends related to the global COVID-19 vaccine with the means of bibliometrics and visualization maps. A total of 18,285 records in 3499 journals were retrieved in the Web of Science Core Collection database and included in the final analysis. China was the first to focus on COVID-19 vaccine research, while European and American countries started late but developed rapidly. The USA and the UK are the top contributors to COVID-19 vaccine development, with the largest number of publications. The University of Washington and Harvard Medical School were the leading institutions, while Krammer, F. from Icahn School of Medicine at Mount Sinai was the author most active and influential to the topic. The New England Journal of Medicine had the highest number of citations and the highest TLS, and was the most cited and influential journal in the field of COVID-19 vaccine research. COVID-19 vaccine research topics and hotspots focused on populations' attitudes towards vaccination, immunity-related information analysis of spike proteins, the effectiveness and side effects of the COVID-19 vaccine, and the public management of epidemic transmission. The findings of this study provide the global status, research hotspots and potential trends in the field of COVID-19 vaccine research, which will assist researchers in mastering the knowledge structure, and evaluating and guiding future developmental directions of COVID-19 vaccine.

Effectiveness of bridge-in, objective, pre-assessment, participatory learning, post-assessment, and summary teaching strategy in Chinese medical education: A systematic review and meta-analysis.

The BOPPPS teaching strategy has been used recently in many medical courses as an improved and more practical pedagogy in China. Nevertheless, the effectiveness of this pedagogy has not been fully assessed in terms of knowledge and skill outcomes in medical education. This meta-analysis aimed to evaluate the effectiveness of the BOPPPS strategy compared with traditional lecture-based learning (LBL) in Chinese medical education. The English electronic databases of Web of Science, PubMed, Embase, and the Cochrane Library and the Chinese electronic databases of CNKI, CQVIP, Wanfang, and CBM were used to search the publications related to the BOPPPS teaching strategy before 6 Jun 2022. Eligibility publications were retrieved and the data were extracted by two researchers independently according to the predefined inclusion and exclusion criteria. Quality analysis was performed using the Cochrane risk-of-bias tool, and the meta-analysis was performed using RevMan 5.3 and StataSE. We retrieved 367 records and 41 studies with a total of 5,042 medical students in the meta-analysis, which included 34 randomized controlled trials (RCTs) and 7 Cohort studies. In the cumulative meta-analysis, BOPPPS strategy significantly increased skill scores (SS) (SMD: 1.15, 95% CI: 1.00-1.30, P < 0.00001), knowledge examination scores (KES) (SMD: 1.56, 95% CI: 1.24-1.89, P < 0.00001), comprehensive ability scores (CAS) (SMD: 1.22, 95%CI: 0.85-1.59; P < 0.00001), and teaching satisfaction (TS) (OR: 3.64; 95%CI: 2.97-4.46; P < 0.0001) compared to the LBL model among those medical students. Statistically similar results were obtained in the sensitivity analysis. These results showed that the BOPPPS method is an effective teaching strategy for Chinese medical students to improve SS, knowledge scores, CAS, and TS when compared with LBL in medical education. Because of the limited quantity and quality of the included studies, further rigorous studies are needed to conclude with more confidence.

Merbromin is a mixed-type inhibitor of 3-chyomotrypsin like protease of SARS-CoV-2.

3-chyomotrypsin like protease (3CLpro) has been considered as a promising target for developing anti-SARS-CoV-2 drugs. Herein, about 6000 compounds were analyzed by high-throughput screening using enzyme activity model, and Merbromin, an antibacterial agent, was identified as a potent inhibitor of 3CLpro. Merbromin strongly inhibited the proteolytic activity of 3CLpro but not the other three proteases Proteinase K, Trypsin and Papain. Michaelis-Menten kinetic analysis showed that Merbromin was a mixed-type inhibitor of 3CLpro, due to its ability of increasing the KM and decreasing the Kcat of 3CLpro. The binding assays and molecular docking suggested that 3CLpro possessed two binding sites for Merbromin. Consistently, Merbromin showed a weak binding to the other three proteases. Together, these findings demonstrated that Merbromin is a selective inhibitor of 3CLpro and provided a scaffold to design effective inhibitors of SARS-CoV-2.

Lignans and phenylpropanoids from the roots of Ficus hirta and their cytotoxic activities.

One undescribed lignan, one new natural product, along with fourteen known compounds, were isolated from the roots of Ficus hirta. The structures of the isolates were elucidated by comprehensive spectroscopic technologies, including UV, IR, HRESIMS, and NMR. The absolute configuration of 1 was determined by comparison of experimental and calculated ECD data. The cytotoxicity of all the compounds against HeLa and HepG2 cell lines was evaluated and compound 7 showed considerable cytotoxic effect towards HepG2 cells. Also, the apoptotic effect of 7 on HepG2 cells and the effect of 7 on the key proteins (p-JNK and p-p38) in MAPK (Mitogen-activated protein kinases) pathways were studied by flow cytometry and western blotting experiment. As a result, compound 7 induced the apoptosis of HepG2 cells, and dose-dependently increased the phosphorylation of JNK and p38. Thus, 7 might trigger HepG2 cells apoptosis via JNK/p38 MAPK signaling pathway.

An Optimized Trajectory Planner and Motion Controller Framework for Autonomous Driving in Unstructured Environments.

This paper proposes an optimized trajectory planner and motion planner framework, which aim to deal with obstacle avoidance along a reference road for autonomous driving in unstructured environments. The trajectory planning problem is decomposed into lateral and longitudinal planning sub-tasks along the reference road. First, a vehicle kinematic model with road coordinates is established to describe the lateral movement of the vehicle. Then, nonlinear optimization based on a vehicle kinematic model in the space domain is employed to smooth the reference road. Second, a multilayered search algorithm is applied in the lateral-space domain to deal with obstacles and find a suitable path boundary. Then, the optimized path planner calculates the optimal path by considering the distance to the reference road and the curvature constraints. Furthermore, the optimized speed planner takes into account the speed boundary in the space domain and the constraints on vehicle acceleration. The optimal speed profile is obtained by using a numerical optimization method. Furthermore, a motion controller based on a kinematic error model is proposed to follow the desired trajectory. Finally, the experimental results show the effectiveness of the proposed trajectory planner and motion controller framework in handling typical scenarios and avoiding obstacles safely and smoothly on the reference road and in unstructured environments.

Prenylated flavonoids from Ficus hirta induces HeLa cells apoptosis via MAPK and AKT signaling pathways.

A pair of undescribed enantiomers, (±) ficusflavonid A (1a/1b), along with five known analogues, were isolated from the roots of Ficus hirta. Their structures were determined by the analysis of extensive spectroscopic data (including UV, IR, HRESIMS and NMR). Two enantiomers (1a and 1b) were successfully separated by chiral chromatographic column and their absolute configurations were assigned by the comparison of experimental and calculated ECD data. The cytotoxicity of all the isolates against HeLa, MCF-7, HepG2 and H460 cell lines were evaluated by MTT assay. Among them, 4 suppressed the proliferation of HeLa cells with the IC50 value of 28.88 µM. Furthermore, the apoptotic effect of 4 on HeLa cells and the level of several crucial proteins in AKT/MAPKs signaling pathways were analyzed by flow cytometer and western blot assay. As a result, 4 induced HeLa cell apoptosis in a dose dependent manner and significantly increased the protein levels of p-JNK and p-p38, whereas distinctly reduced the expression of p-AKT, and p-ERK. Thus, compound 4 might induce HeLa cells apoptosis via MAPK and AKT signaling pathways, which could be considered as a potential leading compound for the development of anticancer drugs.

Design, Validation and Comparison of Path Following Controllers for Autonomous Vehicles.

As one of the core issues of autonomous vehicles, vehicle motion control directly affects vehicle safety and user experience. Therefore, it is expected to design a simple, reliable, and robust path following the controller that can handle complex situations. To deal with the longitudinal motion control problem, a speed tracking controller based on sliding mode control with nonlinear conditional integrator is proposed, and its stability is proved by the Lyapunov theory. Then, a linear parameter varying model predictive control (LPV-MPC) based lateral controller is formulated that the optimization problem is solved by CVXGEN. The nonlinear active disturbance rejection control (ADRC) method is applied to the second lateral controller that is easy to be implemented and robust to parametric uncertainties and disturbances, and the pure pursuit algorithm serves as a benchmark. Simulation results in different scenarios demonstrate the effectiveness of the proposed control schemes, and a comparison is made to highlight the advantages and drawbacks. It can be concluded that the LPV-MPC has some trouble to handle uncertainties while the nonlinear ADRC performs slight worse tracking but has strong robustness. With the parallel development of the control theory and computing power, robust MPC may be the future direction.

12-Deacetyl-12-epi-Scalaradial, a Scalarane Sesterterpenoid from a Marine Sponge Hippospongia sp., Induces HeLa Cells Apoptosis via MAPK/ERK Pathway and Modulates Nuclear Receptor Nur77.

12-Deacetyl-12-epi-scalaradial, a scalarane sesterterpenoid from a marine sponge Hippospongia sp, has been reported to possess cytotoxic activity on HepG2, MCF-7, and HCT-116 cells. However, there is no research to indicate that 12-deacetyl-12-epi-scalaradial exhibited anticancer effect on cervical cancer HeLa cells. The aim of this study was to investigate the anticancer activity of 12-deacetyl-12-epi-scalaradial against HeLa cells and to explore the mechanism. The results from a methylthiazolyldiphenyl-tetrazolium (MTT) assay suggested that 12-deacetyl-12-epi-scalaradial suppressed the proliferation of HeLa cells and flow cytometry analysis showed 12-deacetyl-12-epi-scalaradial could induce the apoptosis of HeLa cells in dose- and time-dependent manner. Western blotting analysis demonstrated that 12-deacetyl-12-epi-scalaradial triggered apoptosis via mediating the extrinsic pathway and was found to suppress MAPK/ERK pathway which was associate with cancer cell death. Nur77, a critical number of orphan nuclear receptors, plays diverse roles in tumor development as a transcription factor and has been considered as a promising anticancer drug target. The dual-luciferase reporter assays suggested that 12-deacetyl-12-epi-scalaradial could selectively enhance the trans-activation activity of Nur77. Furthermore, Western blotting analysis and fluorescence quenching showed that 12-deacetyl-12-epi-scalaradial could induce the phosphorylation of Nur77 and interact with the ligand-binding domain (LBD) of Nur77. Our research confirmed 12-deacetyl-12-epi-scalaradial as a potential agent for cervical cancer therapy and provided a view that 12-deacetyl-12-epi-scalaradial may be a modulator of Nur77.

Phakefustatins A-C: Kynurenine-Bearing Cycloheptapeptides as RXRα Modulators from the Marine Sponge Phakellia fusca.

A neutral-loss scanning mass method was used to explore new kynurenine-containing cycloheptapeptides, phakefustatins A-C (1-3), from the marine sponge Phakellia fusca. Their structures were elucidated by spectroscopic analysis and the advanced Marfey's method. 1 was total synthesized via a final-stage ozonolysis strategy by the combination of solid/solution-phase synthesis. Phakefustatin A (1) was identified as a RXRα modulator to inhibit cancer cell growth, and its pharmacophores could be Kyn and guanidine groups.

Chemical Constituents from Endophytic Fungus Annulohypoxylon cf. stygium in Leaves of Anoectochilus roxburghii.

The chemical investigation on endophytic fungus Annulohypoxylon cf. stygium in leaves of Anoectochilus roxburghii (Wall.) Lindl. has been performed. Sixteen compounds were isolated and their structures were identified as (-)-notoamide A, (-)-notoamide B, (+)-versicolamide B, notoamide C, notoamide D, stephacidin A, sterigmatocystin, dihydrosterigmatocystin, secosterigmatocystin, versiconol, averufanin, kipukasin D, kipukasin E, diorcinal, palmarumycin CP2 and (-)-(3R)-mellein methyl ether, respectively, by spectroscopic analysis and comparison with literature data. All the compounds were isolated from Annulohypoxylon genus for the first time. Sterigmatocystin and palmarumycin CP2 showed selective cytotoxic activities against HepG2, HeLa, MCF-7 and HT-29.

HFO-LADRC Lateral Motion Controller for Autonomous Road Sweeper.

How to make a controller robust and stable to reject the disturbance of uncertainty is an inevitable challenge. Aiming at addressing the lateral control problem for an autonomous road sweeper, a heading-error-based first order linear active disturbance rejective controller (HFO-LADRC) is proposed in this paper. To eliminate the lateral error and the heading error at the same time, a new model, called the heading-error-based model, is proposed for lateral motion, and the Lyapunov function was employed to explore the convergence ability of the heading error and lateral error. Since the heading-error-based model is first order, the ADRC is designed as first order and linear, and each module of the HFO-LADRC has been devised in detail. To ensure solution accuracy, the fourth order Runge-Kutta method was adopted as the differential system solver, and a typical ring scenario and a double lane-changing scenario were designed referencing the standard. Considering the obvious influence, wheelbase uncertainty, steering ratio uncertainty and Gaussian white noise disturbance were taken into account for the tests. The results illustrate that, in the case of both wheelbase uncertainty and steer ratio uncertainty, the HFO-LADRC has strong robustness and stability compared with a typical pure pursuit controller and classical SO-LADRC.

Phenolic Glycosides from the Roots of Ficus hirta Vahl. and Their Antineuroinflammatory Activities.

Ficus hirta Vahl. (Wuzhimaotao) is an edible functional food used for the soup cooking and health products. Seven undescribed phenolic glycosides (1-7), along with 20 analogues, were isolated from the roots of Ficus hirta. Their structures were determined by comprehensive spectroscopic methods (UV, IR, HRESIMS, and NMR), while the absolute configuration of 1 was established by comparison of the experimental and calculated ECD data. The antineuroinflammatory effects of all the compounds were examined by Western blot. Compounds 1 and 11 attenuated the phosphorylation of AKT, JNK, and ERK1/2. In addition, compound 11 inhibited the NF-κB p65 phosphorylation. Our results indicated that compounds 1 and 11 decreased the occurrence of neuroinflammation in BV2 microglia cells, which might be regulated by inhibiting the activity of proteins in NF-κB, MAPK (JNK and ERK1/2), or AKT signaling pathways. Thus, 1 and 11 might exhibit antineuroinflammatory activities and show promise in treating neurodegenerative diseases.

In situ measurement of miR-138 expression in oral squamous cell carcinoma tissue supports the role of this microRNA as a tumor suppressor.

BACKGROUND: Oral squamous cell carcinoma is the eighth most common cancer worldwide with a relatively high rate of metastasis (~40%). Previously, we showed that microRNA-138 serves as a functional tumor suppressor and plays an important role in oral squamous cell carcinoma metastasis. However, to date, microRNA-138 expression has not been examined in this tumor tissue. Herein, we demonstrated that microRNA-138 expression is downregulated in metastatic oral squamous cell carcinoma specimens using tissue microarray technology with in situ hybridization. METHODS: The study included 254 oral squamous cell carcinoma patients from two centers (160 from the Chengdu center and 90 from the Guangzhou center) and four healthy volunteers. RESULTS: Multivariate analysis showed that microRNA-138 expression was independent of tumor stage, age, gender, smoking, and alcohol consumption in oral squamous cell carcinoma patients. Interestingly, patients that expressed lower levels of microRNA-138 (determined by in situ hybridization) were more prone to regional lymph node metastasis and exhibited poorer outcomes. These findings support the role of microRNA-138 as a tumor suppressor in oral squamous cell carcinoma. CONCLUSION: In summary, the expression level of microRNA-138 is negatively correlated with oral squamous cell carcinoma metastasis; the lower the expression of microRNA-138, the higher the rate of metastasis and the poorer the prognosis of the patients. Therefore, our study confirms that microRNA-138 serves as a tumor suppressor and plays a functional role in oral squamous cell carcinoma tumor metastasis; microRNA-138 constitutes a promising prognosis biomarker and therapeutic target for oral squamous cell carcinoma with metastasis potential.

Secondary metabolites of petri-dish cultured Antrodia camphorata and their hepatoprotective activities against alcohol-induced liver injury in mice.

Antrodia camphorata, a well-known and highly valued edible medicinal mushroom with intriguing activities like liver protection, has been traditionally used for the treatment of alcoholic liver disease. A. camphorata shows highly medicinal and commercial values with the demand far exceeds the available supply. Thus, the petri-dish cultured A. camphorata (PDCA) is expected to develope as a substitute. In this paper, nineteen triterpenes were isolated from PDCA, and thirteen of them were the unique anthroic acids in A. camphorata, including the main content antcin K, which suggested that PDCA produced a large array of the same anthroic acids as the wild one. Furthermore, no obvious acute toxicity was found suggesting the edible safety of PDCA. In mice alcohol-induced liver injury model, triglyceride (TG), aspartate aminotransferase (AST), alanine aminotransferase (ALT), and malondialdehyde (MDA) had been reduced by the PDCA powder as well as the main content antcin K, which indicated that the PDCA could protect alcoholic liver injury in mice model and antcin K could be the effective component responsible for the hepatoprotective activities of PDCA against alcoholic liver diseases.

Septosones A-C, in Vivo Anti-inflammatory Meroterpenoids with Rearranged Carbon Skeletons from the Marine Sponge Dysidea septosa.

Three unusual meroterpenoids, septosones A-C (1-3), were isolated from the marine sponge Dysidea septosa. The structures were determined by analysis of spectroscopic data combined with single-crystal X-ray diffraction and ECD calculations. Septosone A (1) features an unprecedented "septosane" carbon skeleton, whereas septosones B (2) and C (3) share a rare spiro[4.5]decane motif. Septosone A showed in vivo anti-inflammatory activity in CuSO4-induced transgenic fluorescent zebrafish likely through inactivation of the NF-κB signaling pathway.

RXRα transcriptional inhibitors from the stems of Calophyllum membranaceum.

Bioassay-guided fractionation of the 60% ethanol extract of the stems of Calophyllum membranaceum using the RXRα transcription activation assay led to the isolation of two new chromanones, calopolyanic acid methyl ester (1) and isopinetoric acid methyl ester (2), two new xanthones, calophylixanthones A-B (3-4), and one new C-glycoside, calophymembranside C (5), along with 13 known compounds. Their structures were elucidated on the basis of extensive spectroscopic data. Compounds 5, 11 and 18 showed transcriptional inhibitory activity of RXRα with 50% inhibitory concentration (IC50) values of 29.95 ± 1.08, 31.06 ± 9.02, and 25.88 ± 1.62 µM, respectively.