Development of a live vector vaccine against infectious hematopoietic necrosis virus in rainbow trout.

Infectious hematopoietic necrosis virus (IHNV) leads to serious disease and economic losses in the salmonid aquaculture industry. The present study aimed to develop an effective and efficient vaccine to protect rainbow trout (Oncorhynchus mykiss) against IHNV infection. Administered via the immersion route, a live vector vaccine containing the regions of the IHNV glycoprotein (G) induced immune responses in rainbow trout. Use of the immersion route induced more-efficient mucosal immunity than intramuscular injection vaccination. IHNV G gene expression was detected in the spleens of rainbow trout at 3, 7 and 15 days post-vaccination (dpv). The G gene expression continuously decreased between 3 and 15 dpv. In addition, the expression of TLR-3, TLR-7 and TLR-8 was upregulated after vaccination, and the highest expression levels of IFN-1, Mx-1, Mx-3, Vig-1 and Vig-2 were observed at 3 dpv. Four markers of the adaptive immune response (CD4, CD8, IgM and IgT) gradually increased. When experimental fish were challenged with IHNV by immersion, significant differences in cumulative percentage mortality were observed in the vaccinated fish and the unvaccinated (empty-plasmid-vaccinated) fish. The relative survival rate was 92% and 6% in the vaccinated group and empty-plasmid group, respectively. Serum antibody levels gradually increased in the vaccinated fish, unlike in the unvaccinated fish, after 7 dpv. Our results suggest there was a significant increase in fish immune responses and resistance to infection with IHNV following administration of the live vector vaccine. Therefore, this live vector vaccine is a promising vaccine that may be utilized to protect rainbow trout against IHNV.

New steroidal glycosides from Hosta plantaginea (Lam.) Aschers.

Four new furostanol glycosides were isolated from the flowers of Hosta plantaginea (Lam.) Aschers. On the basis of spectroscopic methods including 1D and 2D NMR experiments, their structures were elucidated as 26-O-ß-d-glucopyranosyl-(25R)-22-O-methyl-5α-furostan-2α,3ß,22ξ,26-tetrol 3-O-α-l-rhamnopyranosyl-(1 â†’ 4)-O-ß-d-xylopyranosyl-(1 â†’ 3)-[O-ß-d-glucopyranosyl-(1 â†’ 2)]-O-ß-d-glucopyranosyl-(1 â†’ 4)-ß-d-galactopyranoside (hostaplantagineoside A, 1), 26-O-ß-d-glucopyranosyl-(25R)-5α-furostan-20(22)-ene-2α,3ß,26-triol-3-O-ß-d-glucopyranosyl-(1 â†’ 2)-[O-ß-d-xylopyranosyl-(1 â†’ 3)]-O-ß-d-glucopyranosyl-(1 â†’ 4)-ß-d-galactopyranoside (hostaplantagineoside B, 2), 26-O-ß-d-glucopyranosyl-(25R)-5α-furostan-22(23)-ene-2α,3ß,20α,26-tetraol-3-O-ß-d-glucopyranosyl-(1 â†’ 2)-[O-ß-d-xylopyranosyl-(1 â†’ 3)]-O-ß-d-glucopyranosyl-(1 â†’ 4)-O-ß-d-galactopyranoside (hostaplantagineoside C, 3), 26-O-ß-d-glucopyranosyl-(25R)-5α-furostan-20(22)-ene-2α,3ß,26-triol-3-O-α-l-rhamnopyranosyl-(1 â†’ 4)-O-ß-d-xylopyranosyl-(1 â†’ 3)-[O-ß-d-glucopyranosyl-(1 â†’ 2)]-O-ß-d-glucopyranosyl-(1 â†’ 4)-ß-d-galactopyranoside (hostaplantagineoside D, 4).

Fertilization and uniparental chromosome elimination during crosses with maize haploid inducers.

Producing maternal haploids via a male inducer can greatly accelerate maize (Zea mays) breeding process. However, the mechanism underlying haploid formation remains unclear. In this study, we constructed two inducer lines containing cytogenetic marker B chromosome or alien centromeric histone H3 variant-yellow fluorescent protein vector to investigate the mechanism. The two inducer lines as the pollinators were crossed with a hybrid ZhengDan958. B chromosomes were detected in F1 haploids at a low frequency, which was direct evidence to support the occurrence of selective chromosome elimination during haploid formation. We found that most of the inducer chromosomes were eliminated in haploid embryonic cells during the first week after pollination. The gradual elimination of chromosomes was also detected in the endosperm of defective kernels, although it occurred only in some endosperm cells as late as 15 d after pollination. We also performed a genome-wide identification of single nucleotide polymorphism markers in the inducers, noninducer inbred lines, and 42 derived haploids using a 50K single nucleotide polymorphism array. We found that an approximately 44-Mb heterozygous fragment from the male parent was detected in a single haploid, which further supported the occurrence of paternal introgression. Our results suggest that selective elimination of uniparental chromosomes leads to the formation of haploid and possible defective kernels in maize as well, which is accompanied with unusual paternal introgression in haploid cells.

Disentangling influences of driving forces on intra-annual variability in sediment discharge in karst watersheds.

The intra-annual variability in sediment discharge was considerably influenced by the climate variability and vegetation dynamics. Because of the coupled or relationships between climatic and vegetation variables, it is still challenging to decouple the direct and indirect effects of climate variability and vegetation dynamics on hydrological and sediment transport processes. The purpose of this study is to decouple influences of individual driving force on intra-annual distribution of sediment discharge during 2003-2017 using the partial least squares structural equation model (PLS-SEM) method in four typical karst watersheds of Southwest China. The coefficient of variation (Cv), Completely regulation coefficient (Cr), Lorenz asymmetry coefficient and Gini coefficient were used to represent the intra-annual sediment discharge variability. Results showed that the monthly sediment discharge (190 % < Cv < 353 %) exhibited greater variability than its potential affecting factors (18 % < Cv < 101 %). From the PLS-SEM analysis, the water discharge, climate, and vegetation together explain 57 %-75 %, 64 %-79 %, and 53 %-80 % of the total variance in Cv, Cr, and Gini coefficient, respectively. Specifically, water discharge exerts the largest influence on sediment discharge variability (0.65 ≤ direct effect ≤0.97, P < 0.05), while vegetation dynamic mainly indirectly affects sediment discharge variability (-0.88 ≤ indirect effect ≤ -0.01) through influencing water discharge. The climate factors also principally indirectly affect the sediment discharge variability (-0.47 ≤ indirect effect ≤0.19) by affecting water discharge and vegetation. The PLS-SEM can effectively reveal the driving force and influencing mechanism of intra-annual sediment discharge changes, and provide an important reference for regional soil and water resources management in karst watersheds. Future studies can decouple the influences of the extreme climate, unique lithology, discontinuous soil, heterogeneous landscape, and special geomorphology on spatial variability in sediment discharge across different karst watersheds.

Influencing Factors of Psychological Resilience in Stroke Patients: A Systematic Review and Meta-Analysis.

OBJECTIVE: To systematically review the current status and influencing factors of psychological resilience in stroke patients and to provide a theoretical basis for future personalized rehabilitation support and psychological interventions. METHOD: This systematic review and meta-analysis were conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist. A comprehensive search of databases including PubMed, Web of Science, Medline, PsycINFO, CINAHL, Cochrane Library, CNKI, VIP, CMB, and WANGFANG was conducted from inception until November 22, 2023, resulting in the retrieval of 2099 studies. Literature screening and data extraction were performed by two independent evaluators based on pre-defined inclusion and exclusion criteria, and meta-analysis was performed using Review Manager 5.4 software. RESULTS: The final review included 23 studies. The results showed that self-efficacy, hope, confrontation coping, avoidance coping, functional independence, quality of life, and social support were positively associated with psychological resilience. Conversely, anxiety, depression, and resignation coping were negatively associated with psychological resilience. CONCLUSIONS: Patients with stroke have a low level of psychological resilience, which was influenced by a variety of factors. However, longitudinal and large sample studies are needed to further confirm these findings. These results should be integrated into clinical practice for early assessment and targeted intervention in psychological resilience to assist patients in coping with the rehabilitation process and life changes after a stroke.

Development and comparison of machine-learning models for predicting prolonged postoperative length of stay in lung cancer patients following video-assisted thoracoscopic surgery.

Objective: This study aimed to develop models for predicting prolonged postoperative length of stay (PPOLOS) in lung cancer patients undergoing video-assisted thoracoscopic surgery (VATS) by utilizing machine-learning techniques. These models aim to offer valuable insights for clinical decision-making. Methods: This retrospective cohort study analyzed a dataset of lung cancer patients who underwent VATS, identifying 25 numerical features and 45 textual features. Three classification machine-learning models were developed: XGBoost, random forest, and neural network. The performance of these models was evaluated based on accuracy (ACC) and area under the receiver operating characteristic curve, whereas the importance of variables was assessed using the feature importance parameter from the random forest model. Results: Of the 6767 lung cancer patients, 1481 patients (21.9%) experienced a postoperative length of stay of > 4 days. The majority were male (4111, 60.8%), married (6246, 92.3%), and diagnosed with adenocarcinoma (4145, 61.3%). The Random Forest classifier exhibited superior prediction performance with an area under the curve (AUC) of 0.792 and ACC of 0.804. The calibration plot revealed that all three classifiers were in close alignment with the ideal calibration line, indicating high calibration reliability. The five most critical features identified were the following: surgical duration (0.116), age (0.066), creatinine (0.062), hemoglobin (0.058), and total protein (0.054). Conclusions: This study developed and evaluated three machine-learning models for predicting PPOLOS in lung cancer patients undergoing VATS. The findings revealed that the Random Forest model is most accurately predicting the PPOLOS. Findings of this study enable the identification of crucial determinants and the formulation of targeted interventions to shorten the length of stay among lung cancer patients after VATS, which contribute to optimize the allocation of healthcare resources.

Bioinspired wet adhesive carboxymethyl cellulose-based hydrogel with rapid shape adaptability and antioxidant activity for diabetic wound repair.

Currently, adhesive hydrogels have shown promising effect in chronic diabetic wound repair. However, there are issues and challenges in treating diabetic wounds due to inadequate wet adhesion, unable to fill irregular and deep wounds, and oxidative stress. Herein, a mussel-inspired naturally hydrogel dressing with rapid shape adaptability, wet adhesion and antioxidant abilities for irregular, deep and frequently movement diabetic wounds repair was constructed by comprising catechol modified carboxymethyl cellulose (CMC-DA) and tannic acid. Benefiting from the reversible hydrogen bonding, the resulting hydrogels exhibited injectability, remarkable self-healing ability, rapid shape adaptability and strong tissue adhesion (45.9 kPa), thereby contributing to self-adaptive irregular-shaped wounds or moving joint parts. Especially, the adhesion strength of the hydrogel on wet tissue still remained at 14.9 kPa. Besides, the hydrogels could be easily detached from the skin by ice-cooling that avoided secondary damage caused by dressing change. Remarkably, the hydrogels possessed excellent antioxidant, satisfactory biocompatibility, efficient hemostasis and antibacterial properties. The in vivo evaluation further demonstrated that the hydrogel possessed considerable wound-healing promotion effect by regulating diabetic microenvironment, attributed to that the hydrogel could significantly reduce inflammatory response, alleviate oxidative stress and regulate neovascularization. Overall, this biosafe adhesive hydrogel had great potentials for diabetic wound management.

Superhydrophobic/ superoleophilic polystyrene-based porous material with superelasticity for highly efficient and continuous oil/water separation in harsh environments.

Three-dimensional separation materials with robust physical/chemical stability have great demand for effective and continuous separation of immiscible oil/water mixtures and water-in-oil emulsions, resulting from chemical leakages and discharge of industrial oily wastewaters. Herein, a superelastic polystyrene-based porous material with superhydrophobicity/superoleophilicity was designed and prepared by high internal phase emulsion polymerization to meet the aforementioned requirements. A flexible and hydrophobic aminopropyl terminated polydimethylsiloxane (NH2-PDMS-NH2) segment was introduced into the rigid styrene-divinylbenzene copolymer through 1, 4-conjugate addition reaction with trimethylolpropane triacrylate. The addition of NH2-PDMS-NH2 simultaneously improved the mechanical and hydrophobic properties of the porous material (the water contact angle from 141.2° to 152.2°). The material exhibited outstanding reversible compressibility (80% strain, even in liquid N2 environments) and superhydrophobic stability, even after being repeatedly compressed 100 times, water contact angle still remained above 150°. Meanwhile, the as-prepared material had outstanding hydrophobic stability in corrosive solutions (strong acidic, alkaline, high-salty, and even strong polar solvent), presence of mechanical interference, strong UV radiations, and high/low temperature environments. More importantly, the material could continuously and efficiently separate immiscible oil/water mixture and water-in-oil emulsions under the above conditions, showing huge potential for the large-scale remediation of complex oily wastewaters.

Analyzing the Symptom Clusters Among Children With Acute Lymphoblastic Leukemia During Chemotherapy Based on Electronic Nursing Records.

BACKGROUND: Children with acute lymphoblastic leukemia often experience various physical and psychological symptoms during chemotherapy. Previous studies have used predetermined symptom inventories to analyze the complex relationships between these symptoms, which has certain limitations. OBJECTIVE: The aim of this study was to explore the dynamic changes in symptom clusters among children with acute lymphoblastic leukemia during chemotherapy using electronic nursing records. METHODS: Electronic nursing records for 2021 (N = 14 490) were obtained from a pediatric hematology department. A natural language processing tool was used to identify the presence of 46 symptoms in 3 chemotherapy phases of induction, consolidation, and maintenance. Incidence of symptom documentation was calculated by notes and patients, and principal component analysis and cluster analysis were performed for symptoms with an incidence above 15%. RESULTS: The most common symptoms included bleeding, cough, and vomiting. The number of symptom clusters in each chemotherapy period was 7, 6, and 4, respectively. There were upper gastrointestinal, respiratory system, lower gastrointestinal, skin-related, psychological, self-image disorder, and other discomfort symptom clusters in the induction period. Notably, the upper gastrointestinal, respiratory system, lower gastrointestinal, and skin-related symptom clusters persisted through the consolidation and maintenance periods. Neurological and other discomfort symptom clusters were observed during the consolidation period. CONCLUSION: Symptom clusters of children with acute lymphoblastic leukemia at various stages of chemotherapy showed a certain level of stability and dynamics, informing healthcare providers in developing continuous symptom management. IMPLICATIONS FOR PRACTICE: Medical staff should explore targeted intervention programs based on characteristics of symptom clusters at different chemotherapy stages, to improve the efficiency of symptom management and alleviate the symptom burden of children.

Specific Expert Learning: Enriching Ensemble Diversity via Knowledge Distillation.

In recent years, ensemble methods have shown sterling performance and gained popularity in visual tasks. However, the performance of an ensemble is limited by the paucity of diversity among the models. Thus, to enrich the diversity of the ensemble, we present the distillation approach-learning from experts (LFEs). Such method involves a novel knowledge distillation (KD) method that we present, specific expert learning (SEL), which can reduce class selectivity and improve the performance on specific weaker classes and overall accuracy. Through SEL, models can acquire different knowledge from distinct networks with various areas of expertise, and a highly diverse ensemble can be obtained afterward. Our experimental results demonstrate that, on CIFAR-10, the accuracy of the ResNet-32 increases 0.91% with SEL, and that the ensemble trained by SEL increases accuracy by 1.13%. Compared to state-of-the-art approaches, for example, DML only improves accuracy by 0.3% and 1.02% on single ResNet-32 and the ensemble, respectively. Furthermore, our proposed architecture also can be applied to ensemble distillation (ED), which applies KD on the ensemble model. In conclusion, our experimental results show that our proposed SEL not only improves the accuracy of a single classifier but also boosts the diversity of the ensemble model.

Euryale ferox stem-inspired anisotropic quaternized cellulose/xanthan-based antibacterial sponge with high absorbency and compressibility for noncompressible hemorrhage.

Uncontrollable hemorrhage from deep noncompressible wounds remains an intractable challenge. Herein, inspired by the euryale ferox stem which is capable of transporting water and nutrient substances efficiently along longitudinally aligned channels, an anisotropic sponge with rapidly liquid absorption capacity, excellent mechanical compressibility and antibacterial property based on quaternized cellulose (QC), xanthan gum (XG) and reduced graphene oxide (rGO), was constructed. The euryale ferox stem-like structure and multiple interactions, involving hydrogen bonding, electrostatic interaction and chemical crosslinking, endowed the sponge with excellent fatigue resistance, elasticity and efficient liquid absorption capacity. In vivo rat liver injury, tail amputation and liver noncompressible hemorrhage model experiments confirmed that the sponge exhibited superior hemostatic performance than commercial gelatin sponge, attributing to the positive charge, efficient absorption capacity and rough surface of the sponge, which synergistically promoting the aggregation and activation of red blood cells and platelets as well as formation of fibrin network, leading to accelerated blood coagulation process. Besides, the sponge showed favorable cytocompatibility, hemocompatibility and antibacterial property. Overall, the bioinspired sponge had fantastic potential for controlling deep noncompressible hemorrhage and providing a new idea for designing hemostatic materials.

Highly transparent, hydrophobic, and durable anisotropic cellulose films as electronic screen protectors.

Cellulose films have attracted extensive interest in the field of burgeoning electronic devices. However, it remains a challenge to simultaneously address the difficulties including facile methodology, hydrophobicity, optical transparency, and mechanical robustness. Herein, we reported a coating-annealing approach to fabricate highly transparent, hydrophobic, and durable anisotropic cellulose films, where poly(methyl methacrylate)-b-poly(trifluoroethyl methacrylate) (PMMA-b-PTFEMA) as low surface energy chemicals was coated onto regenerated cellulose films via physical (hydrogen bonds) and chemical (transesterification) interactions. The resultant films with nano-protrusions and low surface roughness exhibited high optical transparency (92.3 %, 550 nm) and good hydrophobicity. Moreover, the tensile strength of the hydrophobic films was 198.7 MPa and 124 MPa in dry and wet states, respectively, which also showed excellent stability and durability under various conditions, such as hot water, chemicals, liquid foods, tape peeling, finger pressing, sandpaper abrasion, ultrasonic treatment, and water jet. This work provided a promising large-scale production strategy for the preparation of transparent and hydrophobic cellulose-based films for electronic device protection as well as other emerging flexible electronics.

Evolving landscape of research on cancer-related cognitive impairment: A bibliometric analysis.

Objective: This study describes the state of the art in the field of cancer-related cognitive impairment (CRCI) to facilitate research opportunities in future CRCI research. Methods: Five databases were searched: PubMed, Web of Science, Cochrane Library, Cumulative Index to Nursing and Allied Health (CINAHL), and PsycINFO, from inception to August 20, 2022. Python, VOSviewer, and CiteSpace software were used for data preprocessing and analysis. Results: The published articles were predominantly from the United States, followed by China and Canada. Breast cancer and brain tumors were the dominant cancer types. The study population consisted mainly of adult cancer survivors. Prospective and multicenter studies were the most frequently used study designs. Keyword co-occurrence and mutation analysis indicated major themes: drug therapy was the most common treatment cluster, and adverse effects were another major cluster. The etiology of CRCI was a research hotspot and included the exploration of chemotherapy-associated and psychosocial factors by using measurement tools, such as neuropsychological tests and treatment outcomes. Conclusions: This study's findings highlight CRCI as a major research area, on the basis of the significantly increasing number of annual publications. Keyword co-occurrence analysis provided a quantitative visualization of the current research status for CRCI, but this method cannot provide in-depth qualitative insights explaining the potential emerging trends in this field.

Land use change impacts on red slate soil aggregates and associated organic carbon in diverse soil layers in subtropical China.

The conversion of natural forests to other land use types generally has a significant influence on soil aggregation and associated soil organic carbon (SOC) concentration, depending on soil depth. However, the dynamics underlying soil aggregate distribution and aggregate-associated SOC concentration after such conversion remain inadequately understood, especially in the red slate soil region of subtropical China, where the stability of soil aggregates is the primary deterrent to soil erosion. This study investigated the effects of land use changes on soil aggregates and aggregate-associated organic carbon content in diverse soil layers in the aforementioned region. Soil samples were collected from seven typical land use types (natural forest, artificial forest, terraced citrus orchard, downhill citrus orchard, kiwifruit orchard, cornfield, and paddy field). Sampling was conducted at a depth of 0 to 100 cm and at 20 cm increments to determine aggregate distribution and aggregate-associated SOC content. Results showed that land use change and soil depth significantly affected aggregate stability and associated SOC concentration. Upon the conversion of natural forests to orchards and croplands, both macroaggregate (>0.25 mm) and SOC concentrations decreased, thereby weakening soil resistance to erosion caused by flowing water. However, the conversion of natural forests to artificial forests did not decrease aggregate stability or aggregate-associated SOC concentration, suggesting that artificial forests are alternative tree species for soil erosion control, aggregate stability enhancement, and SOC fixation. A general linear model indicated that land use changes accounted for 55 % and 56 % of the total variations in SOC concentration in >5 mm and 2.5 mm aggregates, respectively, implying that such changes more significantly affected large-grain aggregates. This study deepens the understanding of SOC accumulation mechanisms and provides valuable information on improving soil quality and physical structure in the red slate soil region of subtropical China.

Research Progress on RET Fusion in Non-Small-Cell Lung Cancer.

Great progress has been made in the treatment of driver gene-positive Non- Small Cell Lung Cancer (NSCLC) in recent years. RET fusion was seen in 0.7% to 2% of NSCLC and was associated with younger age and never-smoker status. The pralsetinib and selpercatinib for RET fusion NSCLC was recommended by the 2021 NSCLC treatment guidelines. This review outlines the research progress in the treatment of RET fusion NSCLC, identifies current challenges and describes proposals for improving the outlook for these patients.

Research Progress of Antibody-Drug Conjugate Therapy for Advanced Gastric Cancer.

Gastric cancer is an intractable malignant tumor that has the fifth highest morbidity and the third highest mortality in the world. Even though various treatment options did much to ameliorate the prognosis of advanced gastric cancer, the survival time remained unsatisfactory. It is significant to develop new therapeutic agents to improve the long-term outcome. Antibody-drug conjugate is an innovative and potent antineoplastic drug composed of a specifically targeted monoclonal antibody, a chemical linker, and a small molecule cytotoxic payload. Powerful therapeutic efficacy and moderate toxicity are its preponderant advantages, which imply the inevitable pharmaceutical developments to meet the demand for individualized precision therapy. Nevertheless, it is unavoidable that there is a phenomenon of drug resistance in this agent. This article systematically reviewed the recent progress of antibody-drug conjugates in advanced gastric cancer therapy.

Non-Small Cell Lung Cancer: Challenge and Improvement of Immune Drug Resistance.

Lung cancer is the leading cause of cancer deaths in the world. At present, immunotherapy has made a great breakthrough in lung cancer treatment. A variety of immune checkpoint inhibitors have been applied into clinical practice, including antibodies targeting the programmed cell death-1, programmed cell death-ligand 1, and cytotoxic T-lymphocyte antigen 4. However, in the actual clinical process, about 30%-50% of patients still do not receive long-term benefits. Abnormal antigen presentation, functional gene mutation, tumor microenvironment, and other factors can lead to primary or secondary resistance. In this paper, we reviewed the immune mechanism of immune checkpoint inhibitor resistance, various combination strategies, and prediction of biomarkers to overcome resistance in order to accurately screen out the advantageous population, expand the beneficiary population, and enable precise and individualized medicine.

Biocompatible, antibacterial and anti-inflammatory zinc ion cross-linked quaternized cellulose­sodium alginate composite sponges for accelerated wound healing.

Bacterial infection has become one of the most challenges for wound healing, which causes serious inflammatory response and delays the healing process. Herein, a novel sponge with excellent biocompatible, antibacterial and anti-inflammatory properties based on quaternized cellulose (QC), sodium alginate (SA) and Zn2+ was reported. The existence of physical interactions, such as electrostatic interaction, chelation and hydrogen bonding endowed the sponges with enhanced mechanical property. The composite sponges exhibited outstanding biocompatibility and hemostatic efficiency due to the compatible nature of the component and physical cross-linking, as well as superior antibacterial property benefited from the synergistic effects of steady Zn2+ release and quaternary ammonium group. In vivo investigation validated that the enhanced antibacterial and anti-inflammatory effect of the sponges, which significantly promoted wound closure and the reconstruction of skin tissue through epithelial regeneration, collagen deposition and mitigating inflammatory cell infiltration. Overall, the novel sponge demonstrated great potentials in bacteria-associated wound management.

[Chemical constituents from Myricaria alopecuroides].

OBJECTIVE: To investigate the chemical constituents in the leaves and branches of Myricaria alopecuroides. METHOD: Solvent extraction method was employed to extract and partition. The chemical constituents were isolated by column chromatography on silica gel, Sephadex LH-20, highly porous resin HP-20. The structures of the compounds were elucidated on the basis of physiochemical properties and spectral analysis. RESULT: Eleven compounds were isolated from this plant and identified as ellagic acid 3,3',4-trimethylether (1), ellagic acid 3,3'-dimethylether (2), isorhamnetin (3), kaempferol (4), 3, 5-dihydroxy-4-methoxybenzoic acid (5), daucosterol (6), 6,7,10-trihydroxy-8-octadecenoic acid (7), quercetin (8), gallic acid (9), palmitic acid (10), hexadecanoic acid, 2,3-dihydroxypropyl ester (11). CONCLUSION: Except 8 and 9, all compounds were isolated from M. alopecuroides for the first time. Compound 1, 2, 5, 7, 10, 11 were obtained from the genus Myricaria for the frist time.

Controllable Wrinkling Patterns on Chitosan Microspheres Generated from Self-Assembling Metal Nanoparticles.

Materials with surface wrinkles at a micro/nanoscale possess extraordinary fascinating properties, and various techniques have been employed to create controllable wrinkles. Herein, natural polysaccharide was used to construct the surface wrinkled microsphere with controllable wrinkling patterns. A robust microsphere with an average size of about 55 µm fabricated from chitosan in alkali/urea aqueous solution was swelled and then coated orderly by introducing rigid silver nanoparticles (Ag NPs) with an average size of about 5 nm as the shell onto the surface through electrostatic layer-by-layer (LBL) self-assembly followed by deswelling, resulting in a surface wrinkled microsphere. The significant difference in the swelling behaviors between the stiff Ag shell and swelled chitosan microsphere could generate enough driving forces to form 3D micro- and nanoscale wrinkling surface topography. The surface wrinkled microspheres exhibited the hierarchically porous structure and hydrophobicity, and the topographical patterns could be adjusted by controlling the thickness of the Ag NP layer to achieve the sizes of wrinkling ranging from 60 to 300 nm. It was demonstrated that the wrinkled microspheres were superior as 3D surface-enhanced Raman spectroscopy (SERS) substrates, in which the wrinkled structure with spatial periodicity was proved to be effective for enhancing the SERS signal. The microsphere with controllable wrinkled surface topography could be applied to be a miniature 3D device, which promises potential technological applications in various areas.