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Metabolomics has become an important tool for clinical research, especially for analyzing inherited metabolic disorders (IMDs). The purpose of this study was to explore the performance of metabolomics in diagnosing IMDs using an untargeted metabolomic approach. A total of 40 urine samples were collected: 20 samples from healthy children and 20 from pediatric patients, of whom 13 had confirmed IMDs and seven had suspected IMDs. Samples were analyzed by Orbitrap mass spectrometry in positive and negative mode alternately, coupled with ultra-high liquid chromatography. Raw data were processed using Compound Discovery 2.0 ™ and then exported for partial least squares discriminant analysis (PLS-DA) by SIMCA-P 14.1. After comparing with m/zCloud and chemSpider libraries, compounds with similarity above 80% were selected and normalized for subsequent relative quantification analysis. The uncommon compounds discovered were analyzed based on the Kyoto Encyclopedia of Genes and Genomes to explore their possible metabolic pathways. All IMDs patients were successfully distinguished from controls in the PLS-DA. Untargeted metabolomics revealed a broader metabolic spectrum in patients than what is observed using routine chromatographic methods for detecting IMDs. Higher levels of certain compounds were found in all 13 confirmed IMD patients and 5 of 7 suspected IMD patients. Several potential novel markers emerged after relative quantification. Untargeted metabolomics may be able to diagnose IMDs from urine and may deepen insights into the disease by revealing changes in various compounds such as amino acids, acylcarnitines, organic acids, and nucleosides. Such analyses may identify biomarkers to improve the study and treatment of IMDs.

Background: As the fight against the COVID-19 epidemic continues, medical workers may have allostatic load. Objective: During the reopening of society, medical and nonmedical workers were compared in terms of allostatic load. Methods: An online study was performed; 3,590 Chinese subjects were analyzed. Socio-demographic variables, allostatic load, stress, abnormal illness behavior, global well-being, mental status, and social support were assessed. Results: There was no difference in allostatic load in medical workers compared to nonmedical workers (15.8 vs. 17.8%; p = 0.22). Multivariate conditional logistic regression revealed that anxiety (OR = 1.24; 95% CI 1.18–1.31; p < 0.01), depression (OR = 1.23; 95% CI 1.17–1.29; p < 0.01), somatization (OR = 1.20; 95% CI 1.14–1.25; p < 0.01), hostility (OR = 1.24; 95% CI 1.18–1.30; p < 0.01), and abnormal illness behavior (OR = 1.49; 95% CI 1.34–1.66; p < 0.01) were positively associated with allostatic load, while objective support (OR = 0.84; 95% CI 0.78–0.89; p < 0.01), subjective support (OR = 0.84; 95% CI 0.80–0.88; p < 0.01), utilization of support (OR = 0.80; 95% CI 0.72–0.88; p < 0.01), social support (OR = 0.90; 95% CI 0.87–0.93; p < 0.01), and global well-being (OR = 0.30; 95% CI 0.22–0.41; p < 0.01) were negatively associated. Conclusions: In the post-COVID-19 epidemic time, medical and nonmedical workers had similar allostatic load. Psychological distress and abnormal illness behavior were risk factors for it, while social support could relieve it.

Background and Aim: Serum immunoglobulins were reported to be associated with clinical characteristics of inflammatory bowel disease. However, whether a difference exists in the serum immunoglobulins levels in patients with Crohn's disease (CD) with different disease location and behavior phenotypes remains unclear. Therefore, this study aimed to explore the associations of serum immunoglobulins levels with specific CD phenotypes.Methods: Patients with CD having recorded serum immunoglobulins levels were recruited through multicenter collaborative efforts. The associations between serum immunoglobulins levels and distinct phenotypes of CD were evaluated using multiple logistic regression models.Results: A total of 608 patients with CD were included in the study. Elevated (above the upper limit of normal) serum immunoglobulin G (IgG), IgA, IgM, and IgG4 were identified in 24.5, 17.4, 2.1, and 8.2% of patients, respectively. Elevated serum IgG4 levels negatively correlated with complicated disease behavior [odds ratio (OR) 0.49, 95% confidence interval (CI) 0.26–0.92]. Elevated serum IgG was linked to isolated ileal disease with an OR of 0.37 (95% CI 0.23–0.61). The ORs of isolated ileal disease progressively reduced across increasing quartiles of IgG (P for trend < 0.001). The adjusted ORs of isolated ileal disease for increasing quartiles of IgM were 1.82 (1.07–3.1), 1.92 (1.14–3.24), 1.17 (0.69–1.98), and 1 (P for trend = 0.008). Besides, serum IgA and IgG levels significantly correlated with several disease activity indices.Conclusions: These results suggested that certain serum immunoglobulins were associated with specific disease phenotypes of CD. Further investigations to account for the associations are warranted.

Total solid content (TS) is an important factor for biogas production during anaerobic digestion. In this study, we explored the influence of different TS (5% wet, 15% semi-solid and 25% solid state) on the relative cumulative methane production (RCMP) during anaerobic co-digestion of chicken manure with corn straw. Results showed that total ammonium nitrogen and free ammonia nitrogen concentration increased with the increase of TS. Ammonium nitrogen in treatments at 15% TS was 2.25-2.76 times as high as that at 5% TS, which was below 3 times. The highest chemical oxygen demand removal and RCMP were obtained in the treatment of 15% TS with a ratio of 2:1 chicken manure: corn straw (based on TS). The RCMP in the treatments of 15% TS were 3.63-4.59 times higher than that of 5% TS based on the volume of substrates. The abundance of Caldicoprobacter improving the degradation of corn straw was significantly positively correlated with the RCMP, and the average abundance of Caldicoprobacter at 15% TS was 8.33 and 7.02 times higher than that at 5% and 25% TS, respectively. Structural equation models analysis suggested that TS significantly impacted the RCMP by indirectly impacting free ammonia nitrogen and microbial abundance. These findings indicated semi-solid state (15% TS) decreased ammonia nitrogen releasing and improved the abundance of Caldicoprobacter, and increased RCMP during anaerobic co-digestion of chicken manure with corn straw.

Background Glucose-6-phosphate dehydrogenase (G6PD) deficiency is a hereditary disease caused by pathogenic mutations of G6PD. While most of the pathogenic variants of G6PD have been annotated, hemolysis of unknown etiology but analogous to that in G6PD deficiency persists, implying the existence of undocumented pathogenic variants. In our previous study, we reported four novel G6PD variants in China, for which the pathogenicity remains to be verified. Methods The variants were verified by exogenous expression in HEK-293 cells, and their functions were predicted by PolyPhen-2 and SIFT. The CRISPR/Cas9 system was exploited to edit the G6PD c.697G>C variant in HEK-293 cells and K562 cells. The expression of G6PD was detected by quantitative PCR (qPCR) and western blotting. The cell growth capacity was detected by the CCK-8 assay and crystal violet staining. The G6PD enzyme activity was reflected by the G6P/6PG ratio test. The apoptosis of cells was detected by Annexin V-APC/7-AAD staining. The secondary and crystallographic structures were denoted according to the literature and PyMOL software. The G6PD protein was purified from lysis of transformed Escherichia coli (E. coli) cell with Ni-charged Resin Column. The enzymatic activity was detected at different temperatures. Results The G6PD activity of exogenous G6PD c.697G>C in HEK-293 cells was significantly lower than that of wild type (WT) G6PD, a finding that was consistent with the observation in clinical samples. The functional predictions conducted by different algorithms indicated the damage role of the G6PD c.697G>C variant in its enzymatic activity. We recapitulated the G6PD c.697G>C variant both in HEK-293 cells and K562 cells by adapting the CRISPR/Cas9 strategy. Using distinct cell lines expressing the G6PD c.697G>C variant endogenously, we confirmed the deteriorative role of the G6PD c.697G>C variant in its enzymatic activity. Regarding the secondary and crystallographic structure, we found a mutated amino acid approaching the structural NADP+ binding site. Finally, we demonstrated the c.697G>C variant compromised the thermal stability of G6PD protein. Conclusions Our data delineated the pathogenic role of G6PD c.697G>C variant for G6PD deficiency, implying the wide usage of CRISPR/Cas9 for genetic disease research.

The fat-soluble vitamins A, D, E and K are micronutrients essential for physiological activity, metabolism and growth. Accurate and sensitive analytical methods are needed to support growing research into fat-soluble vitamins and their impact on children’s growth and health. Here we report the first method for simultaneous quantification of fat-soluble vitamins A (retinol), 25-hydroxylvitamin D2, 25-hydroxylvitamin D3, and vitamin E (α-tocopherol) using a Q-Exactive Orbitrap mass spectrometer in high-resolution, parallel reaction monitoring mode. This method can select desired ions with high efficiency, potentially making it superior to triple-quadrupole mass spectrometers that employ multiple reaction monitoring. The proposed method offers excellent accuracy, specificity, and sensitivity, as demonstrated with plasma samples from healthy children.

Novel coronavirus (2019-nCov) infection (COVID-19) rapidly spread across China and 25 countries in the worldwide, which infected not only adults but also children, even neonates. Each year, about 15 million newborns are delivered in China. Newborn screening (NBS) helps effectively prevent some mental retardation, premature death, and adverse outcomes in the early stage of baby, which could detect some inherited metabolic disorders (IMDs). During this COVID-19 epidemic, how to balance the risk of infected 2019-nCov and the risk of disability and teratogenesis of IMDs. Expert members of NBS extra quality assessment in National Clinical Center of Laboratory (NCCL) give a brief consensus for NBS of IMDs in the COVID-2019 epidemic, hoping that the brief consensus could be reference for NBS of IMDs in the other epidemic areas or periods all over the world.

With the modern economic and social development, economic research on fixed-asset investment has also become an important integral part. In this paper, Euler numerical approximation of the fixed assets model is given, and analysis proved the numerical solution of the model converges to its analytical solution.

Apriori algorithm is the classical algorithm in data mining association rules. Because the Apriori algorithm needs scan database for many times, it runs too slowly. In order to improve the running efficiency, this paper improves the Apriori algorithm based on the Apriori analysis. The improved idea is that it transforms the transaction database into corresponding 0-1 matrix. Whose each vector and subsequent vector does inner product operation to receive support. And comparing with the given minsupport, the rows and columns will be deleted if vector are less than the minsupport, so as to reduce the size of the rating matrix, improve the running speeding. Because the improved algorithm only needs to scan the database once when running, therefore the running speeding is more quickly. The experiment also shows that this improved algorithm is efficient and feasible.

Material inventory management plays an increasingly important role in modern operations management within manufacturing enterprises. And a multi-attribute classification model has been put up based on the application of the decide tree model and fuzzy artificial neural network. First the material inventory styles are classified. Then a decision tree model is defined based on inventory classification result. The value of the node is decided by Fuzzy Neural Network if multi-attribute decision is needed and material inventory strategy can be decided with the classification tree and inventory strategy table. In the end, the implementation of the model in a manufacturing enterprise resource plan system is presented.

Context-aware applications can sense and explore the context of production processes to provide proper and useful services to managers in workshop. And materials data integration and control are one of core competences concerning with the development of mass data application in manufacturing enterprises. In this paper, a context-aware materials data integration meta model is presented which is incorporating an advanced materials demand mapping and decomposition mechanism to support fine-grained materials data in the right time for the provision of materials services, based on the analysis of the application context involving the key points and relationships in their manufacturing processes. In this model, materials data integration is controlled by the demand state transitions at different levels including workflow levels, control levels and data levels, which incorporates dynamic context information by checking the context constraint associated with each application task at the time of the specific request submission. Finally, a case is given which is implemented in a complex equipments enterprise.

Spatial data is used to indicate the location, shape, size and its distribution information of the spatial entity in many respects. It can be used to describe the target from the real world, as it has the characteristics of position, qualitative and the relationship between time and space. Position refers to the known coordinates of space target is the only space location. Qualitative refers to the natural attributes of space target with which the location of target. Time refers to the space target which changes over time. Spatial relations are usually expressed using topological relations. Spatial data is a kind of point, line, face and entities such as the basic spatial data structure to represent the people rely on the data of the natural world. And the key technologies of the survey spatial database are the SQL technology, the arcSED technology, storage and indexing.

SPC method is a process controlling tool with the aid of mathematical method. Define, Measure, Analysis, Improvement and Control is the implementation processes of quality management. Combined with the two methods, the quality fluctuation in the production process could be controlled effectively and qualified products rate could be enhanced excellently. In this paper, the film thickness problem of motor shell coating production line has been studied based on statistical process control and DMAIC processes. The Pareto diagram, cause and effect diagram, operation chart are used to inspect production defects in the process. At same time, the factors leading to product defects are determined. Then, DOE method is applied to find the best parameters of electrophoresis coating process. SPC method is adopted to monitor the improved film thickness. The results show that quality level of coating process has improved greatly.

In order to resolve the inefficiency for XML data query and support dynamic updates, etc, this paper has proposed an improved method to encode XML document nodes. On the basic of region encoding and the prefix encoding, it introduces a XML document coding schema base on binary (CSBB). The CSBB code use binary encoding strategy and make the bit string inserted in order. The bit string inserted algorithm can generate ordered bit string to reserve space for the inserted new nodes, and not influence on the others. Experiments shows the CSBB code can effectively avoid re-encoding of nodes, and supports the nodes Dynamic Update.

In order to meet the requirement better of heterogeneous information integration, this paper proposes a XML information integration model based on ontology technology. This model comes to share and reuse of structured knowledge, explicitness of domain knowledge. According to mapping method from ontology to XML schema, the model also comes to document query based on global semantic, solves the semantic heterogeneity of XML information integration. This paper gives a mapping algorithm to implement the validated verify of XML semantic information for automatic indexing information. Finally, this paper explained simply the query algorithm so that the users can conveniently the query of heterogeneous XML information.

To meet the requirements of real-time on-line detection, an algorithm for hot stamping image recognition was proposed based on projection with adaptive threshold. Firstly CCD collects digital image, then convert RGB images into HSV space, and extract V channel. The initial threshold was set according to the error on the first location of matching region. In the subsequent template matching process, the threshold would be update; the smallest D-value point is the best match. The experiment results show that the improved algorithms can identify hot stamping area and greatly increase the matching velocity, having certain guiding significance to hot stamping quality detection based on machine vision.

To improve the knowledge management during product design process, a new model of knowledge composition and knowledge activity is constructed within or between organizations and persons. And based on the analysis of knowledge acquisition, transfer and innovation, the strategy for the implement of knowledge management project is proposed. At last the functions and structures of a software system are provided that supporting the knowledge management for product design in an manufacturing enterprise.

The correct inventory strategy is important to control reasonable inventory within manufacturing enterprises. And a new material inventory strategy is proposed based on the classification scheme according to the prosperities. First the material inventory styles are classified. Then a decision tree model is defined based on inventory classification result. The value of the node is decided by Fuzzy Neural Network if multi-attribute decision is needed and material inventory strategy can be decided with the classification tree and inventory strategy table. In the end, the implementation of the model in a manufacturing enterprise resource plan system is presented.

A dynamic scheduling method for FJSP is put forward based on real-time adjustment of controllable margin, aiming at uncertain information and dynamic characteristic during practical job-shop scheduling process. Strategy and methods of dynamic scheduling adjustment are presented, which respond to real-time event. In view of practical operation condition and accuracy demands, two methods are proposed. One is rescheduling that condenses domain, the other is scheduling updating based on adjustment. Such strategy obtains dynamic robust scheduling of FJSP to ensure the real-time of algorithm, continuity and stability of scheduling schemes.

Context-aware applications can sense and explore the context of production processes to provide proper and useful services to managers in workshop. Firstly, a multi-level ontology model of materials is found which is expressed in OWL as an ontology collection of describing places ages and events and associated properties among them. Secondly, a multi-level context-aware control model and its mechanism are produced. In this model, data integration is controlled by the demand state transitions at different levels including workflow levels, control levels and data levels, which incorporates dynamic context information. And context is classified based on the analysis of demand into five main categories, which is further categorized as simple condition and composite condition to form a multi-level context. And the data integration model is implemented dynamically by checking the context constraint associated with each application task at the time of the specific request submission. Finally, a case study is developed within a manufacturing enterprise to show the benefits of the model.

Combined with the stage-related characteristics in solving process of the Flexible Job-shop Scheduling Problem (FJSP) and the evolution characteristics of Genetic Algorithm (GA), a modified Adaptive Genetic Algorithm based on iterative generation and analysis of fitness values distribution is presented in this paper, which has both methods advantages. Instance simulation verifies that the FJSPs own characteristics are utilized in its solution by using the modified AGA, which overcomes traditional GAs limitation that initial stage of evolution is early and random search of medium-late stage is slow. Such methods are verified to accelerate convergence process, enhance searching efficiency and solving precision as well as avoid low efficiency and local optimum.

Materials data integration is one of core competence concerning with the development of mass data application in manufacture enterprises. In this paper, a context-aware materials data integration meta model is presented which is incorporating an advanced materials demand mapping and decomposition mechanism to support fine-grained materials data in the right time for the provision of materials services, based on the analysis of the application context involving the key points and relationships in their manufacturing processes. In this model, materials data integration is controlled by the demand state transitions at different levels including workflow levels, control levels and data levels, which incorporates dynamic context information by checking the context constraint associated with each application task at the time of the specific request submission. Finally, a case is given which is implemented in a complex equipments enterprise.

Aiming at uncertain information and dynamic characteristic during flexible job-shop scheduling process, some kind of dynamic scheduling method for flexible job-shop scheduling problem (FJSP) is put forward based on real-time adjustment. A dynamic simulation solution mode framework is presented for FJSP. This framework is inspired by adaptive control, combined with the robust scheduling and foreseeing scheduling. It has both advantages of such two scheduling methods, and its stable and highly efficient. Preliminary scheme generation method based on foreseeing dynamics scheduling is introduced then. Foreseeing function is realized by fault-handling algorithm and dynamic simulation solver on the basis of Adaptive Genetic Algorithm (AGA).

In this paper, an adaptive control algorithm is proposed for a two continuous stirred tank reactor (CSTR) with unknown functions based on the approximation property of the neural networks. Because the considered reactor contains the nonlinear property and the unknown functions are included in the subsystem, it is a completed system and is very difficult to be controlled. In order to avoid the difficulties, novel recursive design method is used to remove the interconnection term and special approximated functions are defined to be approximated by using the neural networks. Using the Lyapunov stability analysis method, the proposed algorithm ensures that all the signals in the closed-loop system are bounded and the system output can converge to a neighborhood of zero.

The quality improving of locomotive maintenance service is studied based on Six Sigma. The maintenance service progress has been optimized by DMAIC mode. First of all, the quality problems have been proposed. Then, the factors which impact on quality of after-sales service are found by QC tools. Secondly, the main problems in the progress would be controlled conveniently. Finally, the improved maintenance services process is developed correspondingly. In order to ensure the quality of the maintenance in the delivery period, some measures are taken such as adjusting the allocation time in the repair process, developing a strict examination system. The result shows that the maintenance efficiency and customer satisfaction has been improved significantly.

Through the experiment of different plant spaces with urea applied, the paper studied the influence of plant spaces on soil nitric nitrogen dynamical changes under film hole irrigation and the nitric nitrogen content of the growing period was determined. The result showed that 40 cm of plant space promoted the transformation of urea, and when the urea transformed fully, the nitrate nitrogen content of 40 cm plant space was larger than the space of 25 cm; Under the low fertilizer, the nitrate nitrogen content in the 40 cm plant space was higher than that in the 25 cm plant space at the same depth; under the high fertilizer, 40 cm plant space promoted nitrate nitrogen transporting down and horizontally, the nitrate nitrogen accumulation peak was below and the peak value was higher than 25 cm plant space in the profile being 3 cm from the film hole center and the nitrate nitrogen content of 40 cm plant space was higher than the 25 cm the profile being 8 cm from the film hole center. Above researches could provide the basis for rational fertilization of farmland and nitrate environmental impacts on assessment.

At the peripheral level of the insect olfaction, odorant binding proteins (OBPs) are thought to bind and transport exogenous hydrophobic volatiles to the odorant receptors (ORs) located on the dendrite membrane of the olfactory neurons. In this study, cDNA sequences of 29 OBP genes from Chilo suppressalis, a notorious rice pest, were identified, with 15 of them being newly reported. The tissue and temporal expression patterns of these CsupOBPs were determined by RT-PCR, revealing that CsupOBP8, 10 and 24 were specifically expressed in the heads at larval stage and in antennae of both sexes at adult stage. In addition, CsupOBP 6, 9 and 18 were expressed in much higher levels in heads than abdomen at the larval stage, while CsupPBP4 and CsupOBP1, 3, 8, 11 and 24 were specifically expressed in antennae of both sexes at the adult stage. Such expression profile strongly suggests olfactory roles of these genes. Furthermore, the function of CsupOBP8 was chosen to be investigated by the competitive fluorescence binding assay. Results showed that CsupOBP8 displayed high binding affinities (Ki=4.9-15.0μM) with plant volatile β-ionone, nerolidol, farnesol and 2-hexanone, suggesting that CsupOBP8 plays olfactory roles through binding and transporting the plant volatiles. The study provides an important base for understanding the olfactory mechanisms in C. suppressalis.

AIM: To survey glutathione (GSH) S-transferase (GST) isoforms in mitochondria and to reveal the isoforms’ biological significance in diabetic mice. METHODS: The presence of GSTs in mouse liver mitochondria was systematically screened by two proteomic approaches, namely, GSH affinity chromatography/two dimensional electrophoresis (2DE/MALDI TOF/TOF MS) and SDS-PAGE/LC ESI MS/MS. The proteomic results were further confirmed by Western blotting using monoclonal antibodies against GSTs. To evaluate the liver mitochondrial GSTs quantitatively, calibration curves were generated by the loading amounts of individual recombinant GST protein vs the relative intensities elicited from the Western blotting. An extensive comparison of the liver mitochondrial GSTs was conducted between normal and db/db diabetic mice. Student’s t test was adopted for the estimation of regression and significant difference. RESULTS: Using GSH affinity/2DE/MALDI TOF/TOF MS, three GSTs, namely, alpha3, mu1 and pi1, were identified; whereas five GSTs, alpha3, mu1, pi1, kappa1 and zeta1, were detected in mouse liver mitochondria using SDS-PAGE/LC ESI MS/MS, of these GSTs, GST kappa1 was reported as a specific mitochondrial GST. The R2 values of regression ranged between values of about 0.86 and 0.98, which were acceptable for the quantification. Based on the measurement of the GST abundances in liver mitochondria of normal and diabetic mice, the four GSTs, alpha3, kappa1, mu1 and zeta1, were found to be almost comparable between the two sets of animals, whereas, lower GST pi1 was detected in the diabetic mice compared with normal ones, the signal of Western blotting in control and db/db diabetic mice liver mitochondria is 134.61 ± 53.84 vs 99.74 ± 46.2, with P < 0.05. CONCLUSION: Our results indicate that GSTs exist widely in mitochondria and its abundances of mitochondrial GSTs might be tissue-dependent and disease-related.

Weisiensin B, a new ent-kaurane diterpenoid, was isolated from traditional Chinese herb Rabdosia weisiensis C.Y. Wu. In this study, cytotoxicity of weisiensin B was tested on four different tumor cell lines and the effect of growth inhibition and apoptosis in BEL-7402 cell line were investigated in vitro. The results indicated that weisiensin B had significant antiproliferation activity on the four cell lines. Further study on BEL-7402 cells involving Hoechst 33258 stain and DNA fragmentation assay revealed the characteristic apoptotic features of nuclear and DNA ladder formation. Flow cytometric (FCM) analysis with propidium iodide (PI) staining demonstrated that BEL-7402 cells treated with weisiensin B were arrested in G(2)/M phase. The results demonstrated that a significant fraction of weisiensin B-treated cells died by an apoptotic pathway in BEL-7402 cells.

AIM: To investigate the expression of interferon inducible protein-10 (IP-10) in pancreas of mice and to discuss its possible role in the pathogenesis of type 1 diabetes. METHODS: Non-obese diabetic (NOD) mice were used as experiment group and BALB/c mice as non-diabetic prone model. Immunohistochemistry method was used to evaluate the expression of IP-10 in the pancreas of NOD mice and BALB/c mice. Immunoelectron microscope was used to show the location of IP-10 in pancreatic islet β cells. RESULTS: Pancreatic islets were positively stained in all the NOD mice. Insulitis could be found in mice at the age of 4 wk. The weakly positive results were found in control group with no insulitis. Immunoelectron microscopy further demonstrated that IP-10 was produced by pancreatic β cells and stored in cytoplasm of the cells. CONCLUSION: IP-10 can be largely produced in pancreatic islets of NOD mice at the age of 2 wk when there is no significant insulitis, and may play an important part in the pathogenesis of type 1 diabetes by attracting immune cells to infiltrate the pancreatic islets.

A new ent-kaurane diterpenoid, weisiensin B (1), was isolated from the leaves of Isodon weisiensis C. Y. Wu, along with four known ones, kamebanin (2), kamebacetal A (3), macrocalyxin D (4) and excisanin D (5). Their structures were determined by spectroscopic means. Compound 1-4 showed significant cytotoxic activity against Bel-7402 and HO-8910 cells.