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Fulltext Chemical Composition, Pharmacological, and Toxicological Effects of Betel Nut

Chen X, He Y, Deng Y

Evid Based Complement Alternat Med, 2021;2021:1808081.
PMID: 34457017 DOI: 10.1155/2021/1808081

Betel nut, the fruit of Areca catechu L, has a long medical history in Southeast Asia. It is native to Malaysia and is cultivated and processed extensively in subtropical regions, such as South China and India. Betel nut almost appears as a "snack" in various occasions in most parts of China. Clinically, betel nut can play a certain pharmacology role and was used in malaria, ascariasis, arthritis, enterozoic abdominalgia, stagnation of food, diarrhea, edema, and beriberi. The nervous excitement of betel nut chewing has made it gradually become popular. However, chewing betel nut can induce oral submucosal fibrosis (OSF) and oral cancer (OC). At the same time, long-term chewing of betel nut also causes inhaled asthma, sperm reducing, betel quid dependence (BQD), and uterine and esophageal cancers. The main components of processed betel nut are the goal of this review. This study will mainly start from the pharmacological activity and toxicology study of betel nut in recent years, aiming to seek its advantages and disadvantages. In the meantime, this study will analyze and emphasize that betel nut and arecoline are the high-risk factors for oral cancer, which should arouse attention and vigilance of the public.
De novo assembly and characterization of foot transcriptome and microsatellite marker development for Paphia textile

Chen X, Li J, Xiao S, Liu X

Gene, 2016 Jan 15;576(1 Pt 3):537-43.
PMID: 26546834 DOI: 10.1016/j.gene.2015.11.001

Paphia textile is an important, aquaculture bivalve clam species distributed mainly in China, Philippines, and Malaysia. Recent studies of P. textile have focused mainly on artificial breeding and nutrition analysis, and the transcriptome and genome of P. textile have rarely been reported. In this work, the transcriptome of P. textile foot tissue was sequenced on an Illumina HiSeq™ 2000 platform. A total of 20,219,795 reads were generated, resulting in 4.08 Gb of raw data. The raw reads were cleaned and assembled into 54,852 unigenes with an N50 length of 829 bp. Of these unigenes, 38.92% were successfully annotated based on their matches to sequences in seven public databases. Among the annotated unigenes, 14,571 were assigned Gene Ontology terms, 5448 were classified to Clusters of Orthologous Groups categories, and 6738 were mapped to 228 pathways in the Kyoto Encyclopedia of Genes and Genomes database. For functional marker development, 5605 candidate simple sequence repeats were identified in the transcriptome and 80 primer pairs were selected randomly and amplified in a wild population of P. textile. A total of 36 loci that exhibited obvious repeat length polymorphisms were detected. The transcriptomic data and microsatellite markers will provide valuable resources for future functional gene analyses, genetic map construction, and quantitative trait loci mapping in P. textile.
Fulltext Study on the Construction and Development Path of Gymnasiums considering Ecological Environment Restrictions

Chen X, Zheng L, Xu Y

J Environ Public Health, 2022;2022:2700957.
PMID: 35978586 DOI: 10.1155/2022/2700957

Under the restriction of ecological and environmental factors, our requirements have improved for the development path of gymnasium construction. According to the previous way to carry out the development path of gymnasium construction will make our construction work encounter a lot of unnecessary troubles, so we can improve the success rate of the development path of gymnasium construction under the constraints of the ecological environment by carrying out relevant evasive operations according to the constraints of ecological environment. The topological path and path algorithm used to improve the efficiency of stadium construction and development path under the constraints of ecological environment, TEG algorithm, Q-TEG model, Q-TEG algorithm, Dtra algorithm, TraD algorithm, ResR algorithm, and Q-TED algorithm used in resource reservation plus time slot plus hosting bring the following advantages: (1) we use topological path and path algorithm to explore topological representation methods suitable for development path. The overview provides a theoretical basis for guidance, for forwarding technology scheduling mechanisms and multi-path forwarding mechanisms to provide higher flexibility. (2) We use the TEG algorithm of resource reservation plus time slot plus trusteeship, Q-TEG model, and Q-TEG algorithm under multi-model model can deal with the capacity and link of queue in each stadium construction development path well. It is more convenient to set the packet loss threshold for the propagation experiment tested in the simulation. Better help gymnasium construction and development path transmission is successful. (3) The use of the Dtra algorithm, TraD algorithm, ResR algorithm, and Q-TED algorithm in our stadium construction development path of a good deal of the transmission link structure between each node, so that the transmission efficiency between nodes becomes higher, making our stadium construction development path operation more efficient and convenient.
Fulltext Marine Polysaccharides for Wound Dressings Application: An Overview

Shen S, Chen X, Shen Z, Chen H

Pharmaceutics, 2021 Oct 12;13(10).
PMID: 34683959 DOI: 10.3390/pharmaceutics13101666

Wound dressings have become a crucial treatment for wound healing due to their convenience, low cost, and prolonged wound management. As cutting-edge biomaterials, marine polysaccharides are divided from most marine organisms. It possesses various bioactivities, which allowing them to be processed into various forms of wound dressings. Therefore, a comprehensive understanding of the application of marine polysaccharides in wound dressings is particularly important for the studies of wound therapy. In this review, we first introduce the wound healing process and describe the characteristics of modern commonly used dressings. Then, the properties of various marine polysaccharides and their application in wound dressing development are outlined. Finally, strategies for developing and enhancing marine polysaccharide wound dressings are described, and an outlook of these dressings is given. The diverse bioactivities of marine polysaccharides including antibacterial, anti-inflammatory, haemostatic properties, etc., providing excellent wound management and accelerate wound healing. Meanwhile, these biomaterials have higher biocompatibility and biodegradability compared to synthetic ones. On the other hand, marine polysaccharides can be combined with copolymers and active substances to prepare various forms of dressings. Among them, emerging types of dressings such as nanofibers, smart hydrogels and injectable hydrogels are at the research frontier of their development. Therefore, marine polysaccharides are essential materials in wound dressings fabrication and have a promising future.
Preliminary results of determination of chemical changes on Lingzhi or Reishi medicinal mushroom, Ganoderma lucidum (W.Curt.:Fr.)P. Karst. (higher Basidiomycetes) carried by Shenzhou I spaceship with FTIR and 2D-IR correlation spectroscopy

Choong YK, Chen X, Jamal JA, Wang Q, Lan J

Int J Med Mushrooms, 2012;14(3):295-305.
PMID: 22577979

Spaceflight represents a complex environmental condition. Space mutagenesis breeding has achieved marked results over the years. The objective of this study is to determine the chemical changes in medicinal mushroom Ganoderma lucidum cultivated after spaceflight in 1999. Fourier transform infrared (FTIR) and two-dimensional infrared (2DIR) correlation spectroscopy were used in analysis. The sample Sx and its control Cx showed the least dissimilarities in one-dimensional FTIR spectra, but absorbance of Sx is twice as high as Cx. Sx presented a clear peak at 1648 cm in 2nd derivative spectra, which could not be detected in the Cx. The 2DIR spectra showed the intensity of Sx in the range 1800-1400 cm-1 for protein is higher than the control. The sample Sx produced some carbohydrate peaks in the area of 889 cm-1 compared with the Cx. The spaceflight set up an extreme condition and caused changes of chemical properties in G. lucidum strain.
Histopathology and cytopathology of white spot syndrome virus (WSSV) in cultured Penaeus monodon from peninsular Malaysia with emphasis on pathogenesis and the mechanism of white spot formation

Wang YG, Hassan MD, Shariff M, Zamri SM, Chen X

Dis Aquat Organ, 1999 Dec 22;39(1):1-11.
PMID: 11407399

Since 1994, white spot syndrome virus (WSSV) has been detected in cultured shrimp Penaeus monodon in Peninsular Malaysia. The gross signs, target organs and histo-cytopathology for the viral infection were studied and it was found to infect most organs and tissues including oocytes, but not hepatopancreatocytes and epithelial cells of the midgut, which were regarded as refractory tissues. Based on a time-sequence of ultrastructural cytopathology, 4 cytopathic profiles and 6 phases of viral morphogenesis were described. The virions were elliptical to short rods with trilamilar envelopes that measured 305 +/- 30 x 127 +/- 11 nm. Viral nucleosomes were often present singly in infected nuclei and were associated with the early stages of viral replication. The structure of WSSV pathognomonic white, cuticular lesions was examined at the microscopic and ultrastructural levels and the mechanism of their formation appeared to be related to the disruption of exudate transfer from epithelial cells to the cuticle via cuticular pore canals.
Fulltext Pulmonary artery pseudoaneurysm secondary to metastatic breast cancer

Shum PL, Ngo B, Chen X, Jarvis R

South Asian J Cancer, 2018 3 31;7(1):20.
PMID: 29600227 DOI: 10.4103/sajc.sajc_157_17
Insights into the Electrocatalytic Hydrogen Evolution Reaction Mechanism on Two-Dimensional Transition-Metal Carbonitrides (MXene)

Huang B, Zhou N, Chen X, Ong WJ, Li N

Chemistry, 2018 Dec 10;24(69):18479-18486.
PMID: 30381861 DOI: 10.1002/chem.201804686

Developing highly active, non-noble-metal H2 -evolution catalysts is appealing yet still remains a great challenge in the field of electrocatalytic and photocatalytic H2 production. In this work, high quality transition-metal carbonitrides M3 CN (MXene) are investigated using well-defined density functional theory (DFT) calculations. The structural configurations, H-adsorption free energy (ΔGH ) and charge transfer for bare, surface-terminated and transition-metal (TM)-modified M3 CNO2 are systematically studied. The calculated results indicate that all bare transition metal carbonitrides exhibit strong binding between H atom and catalysts. In addition, only Ti3 CNO2 and Nb3 CNO2 have the potential to be HER active catalysts based on the ΔGH results. In an attempt to overcome poor HER activity limitations, we apply O as well as OH mixed groups and TMs modification on the Ti3 CNO2 surface for tuning HER activity, and a significant improvement of HER activity is observed. Overall, this work presents in-depth investigations for transition-metal carbonitrides (MXene) and opens up new designs for robust metal carbonitrides as noble-metal-free cocatalysts for highly efficient and low-cost MXene-based nanocomposites for water splitting applications.
Reaction-diffusion model to quantify and visualize mass transfer and deactivation within core-shell polymeric microreactors

Goh KB, Li Z, Chen X, Liu Q, Wu T

J Colloid Interface Sci, 2022 Feb 15;608(Pt 2):1999-2008.
PMID: 34749148 DOI: 10.1016/j.jcis.2021.10.092

HYPOTHESIS: The performance of a polymeric core-shell microreactor depends critically on (i) mass transfer, (ii) catalyzed chemical reaction, and (iii) deactivation within the nonuniform core-shell microstructure environment. As such, these three basic working principles control the active catalytic phase density in the reactor.
THEORY: We present a high-fidelity, image-based nonequilibrium computational model to quantify and visualize the mass transport as well as the deactivation process of a core-shell polymeric microreactor. In stark contrast with other published works, our microstructure-based computer simulation can provide a single-particle visualization with a micrometer spatial accuracy.
FINDINGS: We show how the interplay of kinetics and thermodynamics controls the product-induced deactivation process. The model predicts and visualizes the non-trivial, spatially resolved active catalyst phase patterns within a core-shell system. Moreover, we also show how the microstructure influences the formation of foulant within a core-shell structure; that is, begins from the core and grows radially onto the shell section. Our results suggest that the deactivation process is highly governed by the porosity/microstructure of the microreactor as well as the affinity of the products towards the solid phase of the reactor.
Probing the active sites of site-specific nitrogen doping in metal-free graphdiyne for electrochemical oxygen reduction reactions

Chen X, Ong WJ, Kong Z, Zhao X, Li N

Sci Bull (Beijing), 2020 Jan 15;65(1):45-54.
PMID: 36659068 DOI: 10.1016/j.scib.2019.10.016

The development of highly active and low-cost catalysts for electrochemical reactions is one of the most attractive topics in the renewable energy technology. Herein, the site-specific nitrogen doping of graphdiyne (GDY) including grap-N, sp-N(I) and sp-N(II) GDY is systematically investigated as metal-free oxygen reduction electrocatalysts via density functional theory (DFT). Our results indicate that the doped nitrogen atom can significantly improve the oxygen (O2) adsorption activity of GDY through activating its neighboring carbon atoms. The free-energy landscape is employed to describe the electrochemical oxygen reduction reaction (ORR) in both O2 dissociation and association mechanisms. It is revealed that the association mechanism can provide higher ORR onset potential than dissociation mechanism on most of the substrates. Especially, sp-N(II) GDY exhibits the highest ORR electrocatalytic activity through increasing the theoretical onset potential to 0.76 V. This work provides an atomic-level insight for the electrochemical ORR mechanism on metal-free N-doped GDY.
Fulltext Machine learning-based integrated identification of predictive combined diagnostic biomarkers for endometriosis

Zhang H, Zhang H, Yang H, Shuid AN, Sandai D, Chen X

Front Genet, 2023;14:1290036.
PMID: 38098472 DOI: 10.3389/fgene.2023.1290036

Background: Endometriosis (EM) is a common gynecological condition in women of reproductive age, with diverse causes and a not yet fully understood pathogenesis. Traditional diagnostics rely on single diagnostic biomarkers and does not integrate a variety of different biomarkers. This study introduces multiple machine learning techniques, enhancing the accuracy of predictive models. A novel diagnostic approach that combines various biomarkers provides a new clinical perspective for improving the diagnostic efficiency of endometriosis, holding significant potential for clinical application. Methods: In this study, GSE51981 was used as a test set, and 11 machine learning algorithms (Lasso, Stepglm, glmBoost, Support Vector Machine, Ridge, Enet, plsRglm, Random Forest, LDA, XGBoost, and NaiveBayes) were employed to construct 113 predictive models for endometriosis. The optimal model was determined based on the AUC values derived from various algorithms. These genes were then evaluated using nine machine learning algorithms (Random Forest, SVM, Gradient Boosting Machine, LASSO, XGB, NNET, Generalized Linear Model, KNN, and Decision Tree) to assess significance scores and identify diagnostic genes for each algorithm. The diagnostic value of these genes was further validated in external datasets from GSE7305, GSE11691, and GSE120103. Results: Analysis of the GSE51981 dataset revealed 62 DEGs. The Stepglm [Both] and plsRglm algorithms identified 30 genes with the most potential using the AUC evaluation. Subsequently, nine machine learning algorithms were applied to select diagnostic genes, leading to the identification of five key diagnostic genes using the LASSO algorithm. The ADAT1 gene exhibited the best single-gene predictive performance, with an AUC of 0.785. A combination of genes (FOS, EPHX1, DLGAP5, PCSK5, and ADAT1) achieves an AUC of 0.836 in the test dataset. Moreover, these genes consistently exhibited an AUC exceeding 0.78 in all validation datasets, demonstrating superior predictive performance. Furthermore, correlation analysis with immune infiltration strengthened their predictive value by demonstrating the close relationship of the diagnostic genes with immune infiltrating cells. Conclusion: A combination of biomarkers consisting of FOS, EPHX1, DLGAP5, PCSK5, and ADAT1 can serve as a diagnostic tool for endometriosis, enhancing diagnostic efficiency. The association of these genes with immune infiltrating cells reveals their potential role in the pathogenesis of endometriosis, providing new insights for early detection and treatment.
Fulltext The relationship between teacher-student relationships and academic grades among Chinese rural high school students: the moderating role of mental health symptoms and the conditional moderating effect of academic resilience

Chen X, Bailey RP, Yin X, Samsudin N

Front Psychol, 2024;15:1416783.
PMID: 39539303 DOI: 10.3389/fpsyg.2024.1416783

OBJECTIVE: This study examines the relationship between Teacher-Student Relationships and academic grades among Chinese rural high school students, focusing on the moderating role of mental health symptoms and the conditional moderating effect of academic resilience.
METHOD: A moderated moderation analysis was conducted via Mplus on data collected from a sample of rural Chinese high school students. SEM was used to test the direct and interactive effects of these variables on academic outcomes.
RESULTS: Teacher-Student Relationships were found to have a significant positive association with students' academic grades. Academic resilience plays a conditional moderating role, with students who have higher levels of resilience better able to maintain their academic performance, even when facing psychological distress. This suggests that resilience can buffer the impact of challenges, enhancing the positive influence of TSRs on academic outcomes.
Fulltext A hybrid approach for low-carbon transportation system analysis: integrating CRITIC-DEMATEL and deep learning features

Zhan C, Zhang X, Yuan J, Chen X, Zhang X, Fathollahi-Fard AM, et al.

Int J Environ Sci Technol (Tehran), 2023 Jun 09.
PMID: 37360563 DOI: 10.1007/s13762-023-04995-6

As supply chains, logistics, and transportation activities continue to play a significant role in China's economic and social developments, concerns around energy consumption and carbon emissions are becoming increasingly prevalent. In light of sustainable development goals and the trend toward sustainable or green transportation, there is a need to minimize the environmental impact of these activities. To address this need, the government of China has made efforts to promote low-carbon transportation systems. This study aims to assess the development of low-carbon transportation systems in a case study in China using a hybrid approach based on the Criteria Importance Through Intercriteria Correlation (CRITIC), Decision-Making Trial and Evaluation Laboratory (DEMATEL) and deep learning features. The proposed method provides an accurate quantitative assessment of low-carbon transportation development levels, identifies the key influencing factors, and sorts out the inner connection among the factors. The CRITIC weight matrix is used to obtain the weight ratio, reducing the subjective color of the DEMATEL method. The weighting results are then corrected using an artificial neural network to make the weighting more accurate and objective. To validate our hybrid method, a numerical example in China is applied, and sensitivity analysis is conducted to show the impact of our main parameters and analyze the efficiency of our hybrid method. Overall, the proposed approach offers a novel method for assessing low-carbon transportation development and identifying key factors in China. The results of this study can be used to inform policy and decision-making to promote sustainable transportation systems in China and beyond.
Fulltext Determination of chemical changes in Isatis indigotica seeds carried after Chinese first spaceship with FTIR and 2D-IR correlation spectroscopy

Chen X, Keong CY, Mei X, Lan J

Spectrochim Acta A Mol Biomol Spectrosc, 2014 Apr 24;124:528-34.
PMID: 24508891 DOI: 10.1016/j.saa.2014.01.048

Spaceflight represents a complex environmental condition. Space mutagenesis breeding has achieved and marked certain results over the years. This method was employed in our previous studies in order to obtain improved germplasm of Isatis indigotica. This study is to determine the chemical changes in I. indigotica seeds carried after Chinese first spaceship (Shenzhou I). Fourier transform infrared (FTIR), second derivative and two-dimensional infrared (2DIR) correlation spectroscopy were used in analysis. Not much differences between the two spectra were found except the peaks in the range of 1500-1200 cm(-)(1) which was about 7 cm(-)(1) different and indicated the absorption could be initialed from different bonds. SP4 showed different derivative compared with C4 in the second derivative spectra of 1200-800 cm(-)(1). The stronger signal of 2DIR in SP4 indicated the protein content of the seed was changed after spaceflight. It is concluded that spaceflight provided an extreme condition that caused changes of chemical properties in I. indigotica.
The ten-year cardiovascular disease risk prediction among primary healthcare workers using the office-based globorisk tool: A cross-sectional study

Zakiman Z, Mat Ruzlin AN, Chen XW, Muhamad Robat R

Med J Malaysia, 2025 Jan;80(1):17-24.
PMID: 39812424

INTRODUCTION: Cardiovascular diseases (CVDs) remain to be the leading cause of premature mortality worldwide, and healthcare workers (HCWs) are potentially at risk for developing CVDs. Office-based Globorisk is a ten-year risk prediction tool for CVDs risk scores. This present study aims to determine the prevalence of CVDs risk and risk factors associated with moderate-high CVDs risk among primary HCWs in government health clinics in Selangor.
MATERIALS AND METHODS: A cross-sectional study was conducted on 543 HCWs from the KOSPEN WOW ("Komuniti Sihat Pembina Negara" or "Healthy Community Builds the Nation-Wellness of Workers") database in three district health offices (DHOs) under the Selangor State Health Department in Malaysia. To estimate the office-based Globorisk model, factors such as age, sex, current smoking status, systolic blood pressure (SBP), and body mass index (BMI) were included. Data analysis employed were Pearson chi-square test, Fisher's exact test, Welch's t-test and binary logistic regression.
RESULTS: Among 543 participants, 453 (83.4%) were female, 439 (80.8%) were Malay with mean (SD) age of 44.4 (4.38). Majority of moderate-high CVDs risk identified among primary HCWs was male with 26 (86.7%), Malay with 25 (83.3%), and non-clinical group with 17 (56.7%). The prevalence of low CVDs risk was 94.5% (95% CI: 92.2-96.2) and 5.5% (95% CI: 3.8-7.8) for the moderate-high risk category. Factors associated with moderate-high CVDs risk were job category with non-clinical group (95% CI: 1.43, 6.85), elevated blood glucose (95% CI: 3.25, 19.41) and anxiety symptom (95% CI: 1.46, 13.86).
CONCLUSION: The KOSPEN WOW platform is effective for screening and guiding implementation of intervention programmes to prevent CVDs.
Fractionation and Biological Activities of Water-Soluble Polysaccharides from Sclerotium of Tiger Milk Medicinal Mushroom, Lignosus rhinocerotis (Agaricomycetes)

Keong CY, B V, Daker M, Hamzah MY, Mohamad SA, Lan J, et al.

Int J Med Mushrooms, 2016;18(2):141-54.
PMID: 27279536 DOI: 10.1615/IntJMedMushrooms.v18.i2.50

This study investigated antioxidant and anti-inflammatory properties, and the direct cytotoxic effect of Lignosus rhinocerotis fractions, especially the polysaccharide fraction, on nasopharyngeal carcinoma cells. L. rhinocerotis crude extract was obtained through hot water extraction. The precipitate saturated with 30% ammonium sulfate was purified with ion-exchanged chromatography. Gel permeation chromatography multiangle laser light scattering analysis equipped with light scattering and UV signals revealed two district groups of polymers. A total of four peaks were observed in the total carbohydrate test. Fraction C, which was the second region of the second peak eluted with 0.3 M NaOH, showed the highest integrated molecular weight, whereas fraction E had the lowest integrated molecular weight of 19,790 Da. Fraction A contained the highest β-D-glucan content. Enzymatic analysis showed that most of the polysaccharide fractions contained β-1-3 and β-1-6 skeletal backbones. The peak eluted with 0.6 M NaOH was separated in fraction D (flask 89-92) and fraction E (93-96). The results showed that fraction E expressed higher antioxidant activities than fraction D whereas fraction D expressed higher chelating activity than fraction E. The extract saturated with 30% ammonium sulfate exhibited higher reducing power than the extract saturated with 100% ammonium sulfate. Fractions D and E significantly inhibited the secretion of tumor necrosis factor-α in lipopolysaccharide-stimulated RAW 264.7 macrophages in a dose-dependent manner. There was no apparent difference in the viability of cells exposed or unexposed to L. rhinocerotis fractions.
Microbacterium gilvum sp. nov., isolated from civet faeces

Chen X, Li QY, Li GD, Xu FJ, Jiang Y, Han L, et al.

Antonie Van Leeuwenhoek, 2016 Sep;109(9):1177-83.
PMID: 27260265 DOI: 10.1007/s10482-016-0718-1

A novel aerobic, non-motile, Gram-positive, rod-shaped actinobacterium, designated YIM 100951(T), was isolated from the faeces of civets (Viverra zibetha) living in the National Nature Protect Region in Selangor, Malaysia. Strain YIM 100951(T) shows high similarities with Microbacterium barkeri DSM 20145(T) (97.6 %), Microbacterium oryzae MB10(T) (97.3 %), Microbacterium lemovicicum ViU22(T) (97.1 %) and Microbacterium indicum BBH6(T) (97.0 %) based on their 16S rRNA genes. However, phylogenetic analysis showed that strain YIM 100951(T) formed a clade with Microbacterium halotolerans YIM 70130(T) (96.7 %), Microbacterium populi 10-107-8(T) (96.7 %) and Microbacterium sediminis YLB-01(T) (96.9 %). DNA-DNA hybridization was carried out between strains YIM 100951(T) and M. barkeri DSM 20145(T), the result showed a value of 23.2 ± 4.5 %. In addition, some of the physiological, biochemical and chemotaxonomic characteristics of strain YIM 100951(T) are different from the closely related strains. Thus, we suggest that strain YIM 100951(T) represents a novel species of the genus Microbacterium, for which the name Microbacterium gilvum sp. nov. is proposed. The type strain is YIM 100951(T) (=DSM 26235(T) = CCTCC AB 2012971(T)).
Interfacial Mechanical Strength Enhancement for High-Performance ZnS Thin-Film Anodes

Jiang H, Peng H, Guo H, Zeng Y, Li L, Zhang Y, et al.

ACS Appl Mater Interfaces, 2020 Nov 18;12(46):51344-51356.
PMID: 33146507 DOI: 10.1021/acsami.0c13139

Thin-film lithium-ion microbatteries with a high energy density and long lifespan are exceedingly desired for developing self-powered integrated micro-nano devices and systems. However, exploring high-performance thin-film anodes still remains a challenge. Herein, a double-layer-structure diamond-like carbon-ZnS (DLC-ZnS) thin-film anode fabricated by radio frequency magnetron sputtering exhibits high specific capacity and good cycling stability up to 1000 cycles, superior to the pure ZnS thin-film anode. To understand the mechanism, the bimodal amplitude modulated-frequency modulated atomic force microscopy was used to explore the mechanical properties of the thin films, and the DLC layer shows significantly higher Young's modulus than the ZnS thin film. The DLC interface with a high Young's modulus can effectively buffer the mechanical stress originating from the huge volume changes of the ZnS layer during lithiation/delithiation processes; therefore, the DLC interface maintains the higher mechanical integrity of the DLC-ZnS thin film and improves the utilization of ZnS. In addition, the electrochemical kinetics of the DLC-ZnS and ZnS thin films were also investigated by electrochemical methods. Electrochemical impedance spectroscopy tests indicate the obstacle of the DLC interface to Li+ ion diffusion in the initial charge/discharge processes; however, the DLC-ZnS thin film exhibits lower total resistance than the ZnS thin film afterward. In particular, galvanostatic intermittent titration technique tests were performed to find out the differences between the two thin films during the galvanostatical charge/discharge processes. The results demonstrate the obviously enhanced conversion reaction reversibility and decreased alloy reaction polarization of the DLC-ZnS thin film; therefore, it delivers higher reversible capacity.
Fulltext A Perspective Review on the Role of Nanomedicine in the Modulation of TNF-TNFR2 Axis in Breast Cancer Immunotherapy

Al-Hatamleh MAI, Ahmad S, Boer JC, Lim J, Chen X, Plebanski M, et al.

J Oncol, 2019;2019:6313242.
PMID: 31239840 DOI: 10.1155/2019/6313242

In the past decade, nanomedicine research has provided us with highly useful agents (nanoparticles) delivering therapeutic drugs to target cancer cells. The present review highlights nanomedicine applications for breast cancer immunotherapy. Recent studies have suggested that tumour necrosis factor (TNF) and its receptor 2 (TNFR2) expressed on breast cancer cells have important functional consequences. This cytokine/receptor interaction is also critical for promoting highly immune-suppressive phenotypes by regulatory T cells (Tregs). This review generally provides a background for nanoparticles as potential drug delivery agents for immunomodulators and further discusses in depth the potential of TNF antagonists delivery to modulate TNF-TNFR2 interactions and inhibit breast cancer progression.
Changes of alternative splicing in Arabidopsis thaliana grown under different CO2 concentrations

Huang W, Chen X, Guan Q, Zhong Z, Ma J, Yang B, et al.

Gene, 2019 Mar 20;689:43-50.
PMID: 30528270 DOI: 10.1016/j.gene.2018.11.083

Atmospheric CO2 level is one of the most important factors which affect plant growth and crop production. Although many crucial genes and pathways have been identified in response to atmospheric CO2 changes, the integrated and precise mechanisms of plant CO2 response are not well understood. Alternative splicing (AS) is an important gene regulation process that affects many biological processes in plants. However, the AS pattern changes in plants in response to elevated CO2 levels have not yet been investigated. Here, we used RNA-Seq data of Arabidopsis thaliana grown under different CO2 concentration to analyze the global changes in AS. We found that AS increased with the rise in CO2 concentration. Additionally, we identified 345 differentially expressed (DE) genes and 251 differentially alternative splicing (DAS) genes under the elevated CO2 condition. Moreover, the results showed that the expression of most of the DAS genes did not change significantly, indicating that AS can serve as an independent mechanism for gene regulation in response to elevated CO2. Furthermore, our analysis of function categories revealed that the DAS genes were associated mainly with the stimulus response. Overall, this the first study to explore the changes of AS in plants in response to elevated CO2.

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