Displaying publications 1 - 20 of 74 in total

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  1. Yao T, Yang X
    Occup Ther Int, 2022;2022:2661398.
    PMID: 35814354 DOI: 10.1155/2022/2661398
    This paper adopts the method of psychological data analysis to conduct in-depth research and analysis on the correlation between teachers' classroom teaching behaviors and students' knowledge acceptance. Firstly, this paper proposes a health factor prediction model, which is specifically divided into clustering and then classification model and a clustering and classification synthesis model. The classroom learning process is coded, sampled, and quantified to obtain data on students' learning behaviors, and a visualization system based on classroom students' learning behaviors is designed and developed to record and analyze students' behaviors in the classroom learning process and grasp students' classroom learning. These two models use algorithms to fine-grained divide the dataset from the perspective of subject users and mental health factors, respectively, and then use decision tree algorithms to classify and predict the mental health factor information by the subject user base information. Second, based on the collected datasets, we designed comparison experiments to validate the clustering-then-classification model and the integrated clustering-classification model and selected the optimal model for comparison. Teachers should increase effective praise and encouragement behaviors; teachers should increase meaningful teacher-student interaction behaviors; teachers should be proficient in teaching media technology to reduce unnecessary time wastage. Strategies to enhance teachers' TPACK include enriching teachers' knowledge base of CK, TK, and PK; developing teachers' integration thinking; and enriching teachers' types of activities for integrating technology.
  2. Yang G, Yang X, Shi H
    Zookeys, 2020;979:99-132.
    PMID: 33192133 DOI: 10.3897/zookeys.979.53765
    The genus Gastrocentrum Gorham, 1876 is revised to include nine species. Five new species are described in this genus: G. magnumsp. nov. (NE India), G. regularesp. nov. (Cameron Highlands, Malaysia), G. xiaodongisp. nov. (Gyirong, Xizang, China), G. zayuensesp. nov. (Zayü, Xizang, China), and G. gaoligongensesp. nov. (Fugong, Yunnan, China). Gastrocentrum nitidum Schenkling, 1916 is transferred to the genus Tillus as a new combination. All the species in this genus are described (except G. brevicolle), and a key is provided for their identification. Illustrations of male genitalia, female reproductive organs, and other important structures are provided. An interspecific phylogeny-estimate of Gastrocentrum is presented based on morphological data, with two main clades recognized: a clade containing G. unicolor and G. laterimaculatum, and a clade containing the remaining six species (the latter a polytomy consisting of G. magnumsp. nov., G. dux, and G. regularesp. nov., and a well-supported sub-clade representing the remaining species). Additionally, the taxonomic and phylogenetic importance of female reproductive organs is discussed.
  3. Yang X, Song L, Zhao Y, Cheng D
    Br J Educ Psychol, 2024 Jun;94(2):642-660.
    PMID: 38418284 DOI: 10.1111/bjep.12671
    BACKGROUND: Students' music self-concept and music emotions are becoming prominent topics within the area of music education.

    AIMS, SAMPLES AND METHODS: The majority of previous research on self-concept and music emotions has examined the two constructs independently and focused on gender differences in externalizing behaviours in music learning, but has neglected the internal interactions between individual music self-concept and music emotions. Network analysis is a promising method for visually examining music self-concept and music emotions as part of a network of interactions to identify core features and interrelationships among nodes in the network. In this study, 515 students majoring in music from a Chinese university were recruited.

    RESULTS: The results showed that high music self-concept and boredom were the common features at the core of the network for both men and women college students. The boredom exhibited by women differed from that of men in that men's boredom was directed at the entire music course, while boredom in women manifested as daydreaming and boredom with learning materials.

    CONCLUSIONS: This study is the first to explore gender differences in the music self-concept and music emotions from a holistic perspective. The findings could help music teachers gain insight into the complex system of music self-concept and music emotions. Music teachers could capture the respective features of men and women to design individualized teaching strategies.

  4. Razak IA, Raj SS, Fun HK, Jian F, Bei F, Yang X, et al.
    Acta Crystallogr C, 2000 Jun;56 (Pt 6):666-7.
    PMID: 10902013
  5. Yang Q, Ge YM, Iqbal NM, Yang X, Zhang XL
    Antonie Van Leeuwenhoek, 2021 Jul;114(7):1091-1106.
    PMID: 33895907 DOI: 10.1007/s10482-021-01580-0
    Marine phycosphere harbors unique cross-kingdom associations with enormous ecological significance in aquatic ecosystems as well as relevance for algal biotechnology industry. During our investigating the microbial composition and bioactivity of marine phycosphere microbiota (PM), a novel lightly yellowish and versatile bacterium designated strain AM1-D1T was isolated from cultivable PM of marine dinoflagellate Alexandrium minutum amtk4 that produces high levels of paralytic shellfish poisoning toxins (PSTs). Strain AM1-D1T demonstrates notable bioflocculanting bioactivity with bacterial exopolysaccharides (EPS), and microalgae growth-promoting (MGP) potential toward its algal host. Phylogenetic analysis based on 16S rRNA gene sequences revealed that strain AM1-D1T was affiliated to the members of genus Sulfitobacter within the family Rhodobacteraceae, showing the highest sequence similarity of 97.9% with Sulfitobacter noctilucae NB-68T, and below 97.8% with other type strains. The complete genome of strain AM1-D1T consisted of a circular 3.84-Mb chromosome and five circular plasmids (185, 95, 15, 205 and 348 Kb, respectively) with the G+C content of 64.6%. Low values obtained by phylogenomic calculations on the average nucleotide identity (ANI, 77.2%), average amino acid identity (AAI, 74.7%) and digital DNA-DNA hybridization (dDDH, 18.6%) unequivocally separated strain AM1-D1T from its closest relative. The main polar lipids were identified as phosphatidylglycerol, phosphatidylethanolamine, phosphatidylcholine, diphosphatidylglycerol, one unidentified phospholipid and one unidentified lipid. The predominant fatty acids (> 10%) were C18:1 ω7c, C19:0 cyclo ω8c and C16:0. The respiratory quinone was Q-10. The genome of strain AM1-D1T was predicted to encode series of gene clusters responsible for sulfur oxidation (sox) and utilization of dissolved organic sulfur exometabolites from marine dinoflagellates, taurine (tau) and dimethylsulfoniopropionate (DMSP) (dmd), as well as supplementary vitamin B12 (cob), photosynthesis carotenoids (crt) which are pivotal components during algae-bacteria interactions. Based on the evidences by the polyphasic characterizations, strain AM1-D1T represents a novel species of the genus Sulfitobacter, for which the name Sulfitobacter alexandrii sp. nov. is proposed. The type strain is AM1-D1T (= CCTCC 2017277T = KCTC 62491T).
  6. Yang X, Colburn C, Roach K, Zee T, Long S
    Plant Dis, 2023 May 23.
    PMID: 37221241 DOI: 10.1094/PDIS-04-23-0701-PDN
    In February 2023, two Monstera deliciosa Liebm. (Araceae) plants with typical symptoms of leaf rust disease were detected at a grocery store in Oconee Co., South Carolina. Symptoms included chlorotic leaf spots and abundant brownish uredinia, mainly on the adaxial surface of more than 50% of leaves. The same disease was detected on 11 out of 481 M. deliciosa plants in a greenhouse at a plant nursery located in York Co., South Carolina, in March 2023. The first plant sample detected in February was used for morphological characterization, molecular identification, and pathogenicity confirmation of the rust fungus. Urediniospores were densely aggregated, globose, golden to golden brown in color, and measured 22.9 to 27.9 µm (aver. 26.0 ± 1.1 µm; n=50) in diameter with wall thickness at 1.3 to 2.6 µm (aver. 1.8 ± 0.3 µm; n=50). Telia were not observed. These morphological traits aligned with those of Pseudocerradoa paullula (basionym: Puccinia paullula; Ebinghaus et al. 2022; Sakamoto et al. 2023; Sydow and Sydow 1913; Urbina et al. 2023). Genomic DNA was extracted from urediniospores collected from the naturally infected plant sample and used for PCR amplification and DNA sequencing of the large subunit (LSU) genetic marker with primers LRust1R and LR3 (Vilgalys and Hester 1990; Beenken et al. 2012). The LSU sequence of the rust fungus in South Carolina (GenBank accession: OQ746460) is 99.9% identical to that of Ps. paullula voucher BPI 893085 (763/764 nt.; KY764151), 99.4% identical to that of voucher PIGH 17154 in Florida, USA (760/765 nt.; OQ275201), and 99% identical to that of voucher TNS-F-82075 in Japan (715/722 nt.; OK509071). Based on its morphological and molecular characteristics, the causal agent was identified as Ps. paullula. This pathogen identification was also corroborated by the U.S. Department of Agriculture, Animal and Plant Health Inspection Service, Plant Pathogen Confirmatory Diagnostics Laboratory in Laurel, Maryland. To confirm the fungus's pathogenicity on M. deliciosa and M. adansonii Schott (Sakamoto et al. 2023), three plants of each Monstera species were inoculated by spraying with a suspension of urediniospores collected from the original plant sample (1 × 106 spores per ml; approx. 40 ml per plant). Three non-inoculated control plants of each host species were treated with deionized water in the same manner. Plants were placed in a plastic tray with wet paper towels to maintain moisture. The tray was placed at 22C for an 8-h photoperiod and covered for five days to facilitate infection. On 25 days after inoculation, abundant spots bearing urediniospores were produced on all leaves of inoculated M. deliciosa plants. A few uredinia were observed on two of the three inoculated M. adansonii plants. All non-inoculated control plants remained asymptomatic. Morphological features of urediniospores collected from inoculated plants matched those of Ps. paullula used as the inoculum. Aroid leaf rust on Monstera plants was officially reported in Australia, China, Japan, Malaysia, Philippines, and Florida, USA (Shaw 1991; Sakamoto et al. 2023; Urbina et al. 2023). This is the first report of Ps. paullula causing this disease on M. deliciosa in South Carolina, USA. Monstera species are popular indoor and landscape plants. Potential impact and regulatory responses regarding Ps. paullula, a newly introduced and rapidly spreading pathogen in the USA, warrant further evaluation and discussion.
  7. Liu P, Song Y, Yang X, Li D, Khosravi M
    Sci Rep, 2024 Jul 12;14(1):16149.
    PMID: 38997404 DOI: 10.1038/s41598-024-66839-8
    The educational environment plays a vital role in the development of students who participate in athletic pursuits both in terms of their physical health and their ability to detect fatigue. As a result of recent advancements in deep learning and biosensors benefitting from edge computing resources, we are now able to monitor the physiological fatigue of students participating in sports in real time. These devices can then be used to analyze the data using contemporary technology. In this paper, we present an innovative deep learning framework for forecasting fatigue in athletic students following physical exercise. It addresses the issue of lack of precision computational models and extensive data analysis in current approaches to monitoring students' physical activity. In our study, we classified fatigue and non-fatigue based on photoplethysmography (PPG) signals. Several deep learning models are compared in the study. Using limited training data, determining the optimal parameters for PPG presents a significant challenge. For datasets containing many data points, several models were trained using PPG signals: a deep residual network convolutional neural network (ResNetCNN) ResNetCNN, an Xception architecture, a bidirectional long short-term memory (BILSTM), and a combination of these models. Training and testing datasets were assigned using a fivefold cross validation approach. Based on the testing dataset, the model demonstrated a proper classification accuracy of 91.8%.
  8. Guo S, Yang X, Farizan NH, Samsudin S
    Heliyon, 2024 Aug 30;10(16):e36067.
    PMID: 39224395 DOI: 10.1016/j.heliyon.2024.e36067
    This study aims to comprehensively analyze and evaluate the quality of college physical dance education using Convolutional Neural Network (CNN) models and deep learning methods. The study introduces a teaching quality evaluation (TQE) model based on one-dimensional CNN, addressing issues such as subjectivity and inconsistent evaluation criteria in traditional assessment methods. By constructing a comprehensive TQE system comprising 24 evaluation indicators, this study innovatively applies deep learning technology to quantitatively assess the quality of physical dance education. This TQE model processes one-dimensional evaluation data by extracting local features through convolutional layers, reducing dimensions via pooling layers, and feeding feature vectors into a classifier through fully connected layers to achieve an overall assessment of teaching quality. Experimental results demonstrate that after 150 iterations of training and validation on the TQE model, convergence is achieved, with mean squared error (MSE) decreasing to 0.0015 and 0.0216 on the training and validation sets, respectively. Comparatively, the TQE model exhibits significantly lower MSE on the training, validation, and test sets compared to the Back-Propagation Neural Network, accompanied by a higher R2 value, indicating superior accuracy and performance in data fitting. Further analysis on robustness, parameter sensitivity, multi-scenario adaptability, and long-term learning capabilities reveals the TQE model's strong resilience and stability in managing noisy data, varying parameter configurations, diverse teaching contexts, and extended time-series data. In practical applications, the TQE model is implemented in physical dance courses at X College to evaluate teaching quality and guide improvement strategies for instructors, resulting in notable enhancements in teaching quality and student satisfaction. In conclusion, this study offers a comprehensive evaluation of university physical dance education quality through a multidimensional assessment system and the application of the 1D-CNN model. It introduces a novel and effective approach to assessing teaching quality, providing a scientific foundation and practical guidance for future educational advancements.
  9. Liu Y, Dong M, Jia Y, Yang D, Hui Y, Yang X
    Pathol Res Pract, 2024 Oct;262:155544.
    PMID: 39197215 DOI: 10.1016/j.prp.2024.155544
    BACKGROUND: Triple-negative breast cancer (TNBC) is a subtype of breast cancer that lacks the expression of three receptors commonly targeted in breast cancer treatment. In this study, the research focused on investigating the role of centrosomal protein 55 (CEP55) in TNBC progression and its interaction with the transcription factor Spi-1 proto-oncogene (SPI1).

    METHODS: Various techniques including qRT-PCR, western blotting, and immunohistochemistry assays were utilized to examine gene expression patterns. Functional assays such as wound-healing assay, transwell invasion assay, 5-Ethynyl-2'-deoxyuridine assay, and metabolic assays were conducted to assess the impact of CEP55 on the behaviors of TNBC cells. CD163-positive macrophages were quantified by flow cytometry. The chromatin immunoprecipitation assay and dual-luciferase reporter assay were performed to assess the association of SPI1 with CEP55. A xenograft mouse model experiment was used to analyze the impact of SPI1 on tumor development in vivo.

    RESULTS: CEP55 and SPI1 expression levels were significantly upregulated in TNBC tissues and cells. The depletion of CEP55 led to decreased TNBC cell migration, invasion, proliferation, glucose metabolism, and M2 macrophage polarization, indicating its crucial role in promoting TNBC progression. Moreover, SPI1 transcriptionally activated CEP55 in TNBC cells, and its overexpression was associated with accelerated tumor growth in vivo. Further, CEP55 overexpression relieved SPI1 silencing-induced inhibitory effects on TNBC cell migration, invasion, proliferation, glucose metabolism, and M2 macrophage polarization.

    CONCLUSION: SPI1-mediated transcriptional activation of CEP55 plays a key role in enhancing TNBC cell migration, invasion, proliferation, glucose metabolism, and M2 macrophage polarization. These insights provide valuable information for potential targeted therapies to combat TNBC progression by modulating the SPI1-CEP55 axis.

  10. Mountjoy M, Akef N, Budgett R, Greinig S, Li G, Manikavasagam J, et al.
    Br J Sports Med, 2015 Jul;49(13):887-92.
    PMID: 25833900 DOI: 10.1136/bjsports-2014-094424
    Antidoping and medical care delivery programmes are required at all large international multisport events.
  11. Raj SS, Fun HK, Zhao PS, Jian FF, Lu LD, Yang XJ, et al.
    Acta Crystallogr C, 2000 Jul;56 ( Pt 7):742-3.
    PMID: 10935066
  12. Shanmuga Sundara Raj S, Razak IA, Fun HK, Zhao PS, Jian F, Yang X, et al.
    Acta Crystallogr C, 2000 Apr 15;56(Pt 4):E130-1.
    PMID: 15263175
    In the crystal of the title complex, [Co(C(9)H(6)NO)(3)].C(2)H(5)OH, the central Co atom has a distorted octahedral coordination comprised of three N atoms and three O atoms from the three 8-quinolinolato ligands. The three Co-O bond distances are in the range 1.887 (2)-1.910 (2) A, while the three Co-N bond distances range from 1.919 (2) to 1.934 (2) A. The solvent ethanol molecule forms an intermolecular O-H.O hydrogen bonding with a quinolinolato ligand.
  13. Lian Z, Chan Y, Luo Y, Yang X, Koh KS, Wang J, et al.
    Electrophoresis, 2020 06;41(10-11):891-901.
    PMID: 31998972 DOI: 10.1002/elps.201900403
    Scale-up in droplet microfluidics achieved by increasing the number of devices running in parallel or increasing the droplet makers in the same device can compromise the narrow droplet-size distribution, or requires high fabrication cost, when glass- or polymer-based microdevices are used. This paper reports a novel way using parallelization of needle-based microfluidic systems to form highly monodispersed droplets with enhanced production rates yet in cost-effective way, even when forming higher order emulsions with complex inner structure. Parallelization of multiple needle-based devices could be realized by applying commercially available two-way connecters and 3D-printed four-way connectors. The production rates of droplets could be enhanced around fourfold (over 660 droplets/min) to eightfold (over 1300 droplets/min) by two-way connecters and four-way connectors, respectively, for the production of the same kind of droplets than a single droplet maker (160 droplets/min). Additionally, parallelization of four-needle sets with each needle specification ranging from 34G to 20G allows for simultaneous generation of four groups of PDMS microdroplets with each group having distinct size yet high monodispersity (CV < 3%). Up to six cores can be encapsulated in double emulsion using two parallelly connected devices via tuning the capillary number of middle phase in a range of 1.31 × 10-4 to 4.64 × 10-4 . This study leads to enhanced production yields of droplets and enables the formation of groups of droplets simultaneously to meet extensive needs of biomedical and environmental applications, such as microcapsules with variable dosages for drug delivery or drug screening, or microcapsules with wide range of absorbent loadings for water treatment.
  14. Chen H, Zeng X, Zhou Y, Yang X, Lam SS, Wang D
    J Hazard Mater, 2020 07 15;394:122570.
    PMID: 32244145 DOI: 10.1016/j.jhazmat.2020.122570
    The removal of antibiotics and resistance genes in wastewater treatment plants has attracted widespread attention, but the potential role of residual antibiotics in the disposal of waste activated sludge (WAS) has not been clearly understood. In this study, the effect of roxithromycin (ROX) on volatile fatty acid (VFA) recovery from WAS anaerobic fermentation was investigated. The experimental results showed that ROX made a positive contribution to the production of VFAs. With the increase of ROX dosages from 0 to 100 mg/kg TSS, the maximum accumulation of VFAs increased from 295 to 610 mg COD/L. Mechanism studies revealed that ROX promoted the solubilization of WAS by facilitating the disruption of extracellular polymeric substances. In addition, ROX enhanced the activity of acetate kinase and inhibited the activities of α-glucosidase and coenzyme F420, and showed a stronger inhibitory effect on methane production than the hydrolysis process, thus resulting in an increase in VFA accumulation. These findings provide a new insight for the role of antibiotics in anaerobic fermentation of WAS.
  15. Xu YJ, Jiang F, Song J, Yang X, Shu N, Yuan L, et al.
    J Agric Food Chem, 2020 Aug 19;68(33):8847-8854.
    PMID: 32806128 DOI: 10.1021/acs.jafc.0c03539
    The thermal pretreatment of oilseed prior to oil extraction could increase the oil yield and improve the oil quality. Phenolic compounds are important antioxidants in rapeseed oil. In this study, we investigated the impact of thermal pretreatment method on the rapeseed oil based on phenolic compound levels. Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) analysis showed that the phenolic compound contents in the microwave-pretreated oil were higher than those in the oven- and infrared-treated oils. Sinapic acid (SA) and canolol (CA), which are the top two phenolic compounds in rapeseed oil, exerted well 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity with IC50 values of 8.45 and 8.80 μmol/L. The cell experiment uncovered that SA and CA have significant biological activities related to rapeseed oil quality, including increase of antioxidant enzymes superoxide dismutase (SOD), alleviation of reactive oxygen species (ROS), and cytotoxicity of HepG2 cells after the intake of excessive oleic acid. Further investigation indicated that SA and CA reduced cell apoptosis rate through Bax-Bcl-2-caspase-3 and p53-Bax-Bcl-2-caspase-3, respectively. Taken together, our findings suggest that microwave pretreatment is the best method to improve the content of phenolic compounds in rapeseed oil compared with oven and infrared pretreatments.
  16. Zhang XL, Li GX, Ge YM, Iqbal NM, Yang X, Cui ZD, et al.
    Antonie Van Leeuwenhoek, 2021 Jun;114(6):845-857.
    PMID: 33770293 DOI: 10.1007/s10482-021-01563-1
    During the study into the microbial biodiversity and bioactivity of the Microcystis phycosphere, a new yellow-pigmented, non-motile, rod-shaped bacterium containing polyhydroxybutyrate granules designated as strain Z10-6T was isolated from highly-toxic Microcystis aeruginosa Kützing M.TN-2. The new isolate produces active bioflocculating exopolysaccharides. Phylogenetic analysis based on 16S rRNA gene sequences indicated strain Z10-6T belongs to the genus Sphingopyxis with highest similarity to Sphingopyxis solisilvae R366T (98.86%), and the similarity to other Sphingopyxis members was less than 98.65%. However, both low values obtained by phylogenomic calculation of average nucleotide identity (ANI, 85.5%) and digital DNA-DNA hybridization (dDDH, 29.8%) separated the new species from its closest relative. The main polar lipids were sphingoglycolipid, phosphatidylethanolamine, phosphatidylglycerol, diphosphatidylglycerol, one unidentified glycolipid and one unidentified aminophospholipid. The predominant fatty acids were summed feature 8, C17:1ω6c, summed feature 3, C16:0, C18:1ω7c 11-methyl and C14:0 2-OH. The respiratory quinone was ubiqunone-10, with spermidine as the major polyamine. The genomic DNA G + C content was 64.8 mol%. Several biosynthesis pathways encoding for potential new bacterial bioactive metabolites were found in the genome of strain Z10-6T. The polyphasic analyses clearly distinguished strain Z10-6T from its closest phylogenetic neighbors. Thus, it represents a novel species of the genus Sphingopyxis, for which the name Sphingopyxis microcysteis sp. nov. is proposed. The type strain is Z10-6T (= CCTCC AB2017276T = KCTC 62492T).
  17. Li R, Cao C, Zheng Z, Yang X, Tan CP, Xu Y, et al.
    Food Funct, 2021 Mar 15;12(5):2020-2031.
    PMID: 33565560 DOI: 10.1039/d0fo02511a
    The consumption of saturated lipids in combination with a sedentary lifestyle increases the risk of obesity and metabolic syndrome. However, the distribution of endogenous fatty acids (FA) after the consumption of saturated lipids and the connection between FA distribution and lipid metabolism-related genes relative expression have not been fully elucidated to date. In this study, we characterized FA profiles in the liver and visceral fats of Sprague Dawley (SD) rats fed with a high-palm-oil diet. The investigation showed that the levels of C16:0 and C18:1 (n-9) increased significantly (P < 0.05) in the liver of the high-palm-oil group (POG), while C16:1 (n-7) and C18:2 (n-6) accumulated markedly (P < 0.05) in the visceral fats of the control group (CN). A correlation analysis indicated a negative correlation between C16:0 and C16:1 (n-7) in the epididymal fat of POG. Our study also demonstrated that the intake of saturated lipids caused changes in lipid metabolism-related gene expression, especially stearoyl-CoA desaturase (SCD), which was upregulated at the third week but was inhibited in the subsequent weeks in the POG liver and perirenal fat. The SCD had a notable positive correlation with C16:1 (n-7) in the POG liver and perirenal fat but a significant negative correlation with C16:0 in the POG epididymal fat. In conclusion, the results of this study indicate that a high-C16:0 diet may result in adaptive SCD expression, and these findings may help to elucidate the effects of dietary fat on lipid metabolism.
  18. Dang J, Paudel YN, Yang X, Ren Q, Zhang S, Ji X, et al.
    ACS Chem Neurosci, 2021 07 07;12(13):2542-2552.
    PMID: 34128378 DOI: 10.1021/acschemneuro.1c00314
    The lack of disease-modifying therapeutic strategies against epileptic seizures has caused a surge in preclinical research focused on exploring and developing novel therapeutic candidates for epilepsy. Compounds from traditional Chinese medicines (TCMs) have gained much attention for a plethora of neurological diseases, including epilepsy. Herein, for the first time, we evaluated the anticonvulsive effects of schaftoside (SS), a TCM, on pentylenetetrazol (PTZ)-induced epileptic seizures in zebrafish and examined the underlying mechanisms. We observed that SS pretreatments significantly suppressed seizure-like behavior and prolonged the onset of seizures. Zebrafish larvae pretreated with SS demonstrated downregulation of c-fos expression during seizures. PTZ-induced upregulation of apoptotic cells was decreased upon pretreatment with SS. Inflammatory phenomena during seizure progression including the upregulation of interleukin 6 (IL-6), interleukin 1 beta (IL-1β), and nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) were downregulated upon pretreatment with SS. The PTZ-induced recruitment of immunocytes was in turn reduced upon SS pretreatment. Moreover, SS pretreatment modulated oxidative stress, as demonstrated by decreased levels of catalase (CAT) and increased levels of glutathione peroxidase-1a (GPx1a) and manganese superoxide dismutase (Mn-SOD). However, pretreatment with SS modulated the PTZ-induced downregulation of the relative enzyme activity of CAT, GPx, and SOD. Hence, our findings suggest that SS pretreatment ameliorates PTZ-induced seizures, suppresses apoptosis, and downregulates the inflammatory response and oxidative stress, which potentially protect against further seizures in zebrafish.
  19. Deng T, Shi W, Wong ZM, Wu G, Yang X, Zheng JC, et al.
    J Phys Chem Lett, 2021 Jul 29;12(29):6934-6940.
    PMID: 34282908 DOI: 10.1021/acs.jpclett.1c01731
    The connection between electronic structures of metal-organic frameworks (MOFs) and their building subunits is a key cornerstone for rational MOF material design. Some two-dimensional conjugated MOFs were reported to be topological insulators. However, many of them are not intrinsic as the Fermi levels are far from the topological gaps. The subunit-to-MOF electronic orbital correspondence should be established to bridge their chemical structure and physical properties, thus understanding the design rules toward intrinsic topological insulators. Herein we reveal the fundamental role of the subunit-to-MOF symmetry relation in determining their orbital interaction and hybridization and, consequently, topological characteristics. In particular, such honeycomb-kagome MOFs possess delocalized symmetry-enforced nonbonding electronic states with the topological spin-orbit gap. The nonbonding nature of these states allows tailored band structure modulation through molecular structure and strain engineering, with the potential realization of an intrinsic metal-organic topological insulator.
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