ObjectiveThe U6 promoter is an essential element for driving sgRNA expression in the clustered regularly interspaced short palindromic repeat sequences/CRISPR-associated protein 9（CRISPR/Cas9）gene editing system in dicotyledonous plants. Endogenous U6 promoters typically exhibit higher transcriptional activity， which can significantly improve gene editing efficiency. This study aims to identify endogenous U6 promoters in Artemisia annua to optimize its CRISPR/Cas9 gene editing system， which holds significant importance for its molecular breeding. MethodsOn the basis of the highly conserved U6 snRNA sequences in Arabidopsis thaliana， endogenous U6 promoters were screened in the A. annua genome. Expression vectors were constructed with candidate AaU6 promoter driving the firefly luciferase （LUC） reporter gene， and then transiently transformed into Nicotiana benthamiana. Transcriptional activities of the promoters were measured and compared by in vivo imaging and the Dual Luciferase Reporter assay. ResultsEight endogenous U6 promoters were successfully cloned from A. annua. Sequences alignment revealed that all these promoters contained the two conserved cis-acting elements， upstream sequence element （USE） and TATA-box， which affected their transcriptional activity. Dual-luciferase activity assays indicated that the transcriptional activities of AaU6-3， AaU6-1， and AaU6-5 were significantly higher than that of the Arabidopsis AtU6-26 promoter， with AaU6-3 exhibiting the highest activity. ConclusionThis study identified three endogenous AaU6 promoters with high transcriptional activity in A. annua， providing key functional elements for establishing an efficient gene editing system in A. annua. These findings will contribute to advancing precision molecular breeding and high-quality germplasm innovation in A. annua.

OBJECTIVE: In Pakistan, traditional medicines are an important component of the medical system, with numerous varieties and great demands. However, due to the scattered resources and the lack of systematic collection and collation, adulteration of traditional Pakistani medicine (TPM) is common, which severely affects the safety of their medicinal use and the import and export trades. Therefore, it is urgent to systematically organize and unify the management of TPM and establish a set of standards and operable methods for the identification of TPM. METHODS: We collected and organized the information on 128 TPMs with regard to their medicinal parts, efficacy, usage, and genetic material, based on Pakistan Hamdard Pharmacopoeia of Eastern Medicine: Pharmaceutical Codex. The genetic information of TPM is summarized from national center for biotechnology information (NCBI) and global pharmacopoeia genome database (GPGD). Furthermore, we utilized bioinformatics technology to supplement the chloroplast genome (cp-genome) data of 12 TPMs. To build the web server, we used the Linux + Apache + MySQL + PHP (LAMP) system and constructed the webpage on a PHP: Hypertext Preprocessor (PHP) model view controller (MVC) framework. RESULTS: We constructed a new genomic database, the traditional Pakistani medicine genomic database (TPMGD). This database comprises five entries, namely homepage, medicinal species, species identification, basic local alignment search tool (BLAST), and download. Currently, TPMGD contains basic profiles of 128 TPMs and genetic information of 102 TPMs, including 140 cytochrome c oxidase subunit I (COI) sequences and 119 mitochondrial genome sequences from Bombyx mori, 1 396 internal transcribed spacer 2 (ITS2) sequences and 1 074 intergenic region (psbA-trnH) sequences specific to 92 and 83 plant species, respectively. Additionally, TPMGD includes 199 cp-genome sequences of 82 TPMs. CONCLUSION TPMGD is a multifunctional database that integrates species description, functional information inquiry, genetic information storage, molecular identification of TPM, etc. The database not only provides convenience for TPM information queries but also establishes the scientific basis for the medication safety, species identification, and resource protection of TPM.

Cells not only contain membrane-bound organelles (MBOs), but also membraneless organelles (MLOs) formed by condensation of many biomacromolecules. Examples include RNA-protein granules such as nucleoli and PML nuclear bodies (PML-NBs) in the nucleus, as well as stress granules and P-bodies in the cytoplasm. Phase separation is the basic organizing principle of the form of the condensates or membraneless organelles (MLOs) of biomacromolecules including proteins and nucleic acids. In particular, liquid-liquid phase separation (LLPS) compartmentalises and concentrates biological macromolecules into liquid condensates. It has been found that phase separation of biomacromolecules requires some typical intrinsic characteristics, such as intrinsically disordered regions, modular domains and multivalent interactions. The phase separation of biomacromolecules plays a key role in many important cell activities. In recent years, the phase separation of biomacromolecules phase has become a focus of research in gene transcriptional regulation. Transcriptional regulatory elements such as RNA polymerases, transcription factors (TFs), and super enhancers (SEs) all play important roles through phase separation. Our group has previously reported for the first time that long-term inactivation or absence of assembly factors leads to the formation of condensates of RNA polymerase II (RNAPII) subunits in the cytoplasm, and this process is reversible, suggesting a novel regulatory model of eukaryotic transcription machinery. The phase separation of biomacromolecules provides a biophysical understanding for the rapid transmission of transcriptional signals by a large number of TFs. Moreover, phase separation during transcriptional regulation is closely related to the occurrence of cancer. For example, the activation of oncogenes is usually associated with the formation of phase separation condensates at the SEs. In this review, the intrinsic characteristics of the formation of biomacromolecules phase separation and the important role of phase separation in transcriptional regulation are reviewed, which will provide reference for understanding basic cell activities and gene regulation in cancer.

Objective To explore the mechanism of A kinase anchor-protein 150(AKAP150)in alleviating learning and memory impairment induced by propofol in rats at developmental stage.Methods 80 SD rats aged 7 days were randomly divided into a control group(Con group),propofol group(Pro group),dexmedetomidine pre-administration group(DP group),and AKAP150 adenovirus plus DP group(ADP group)(n=20).The Con group was injected with equal volume normal saline.The Pro group was injected with propofol of 50 mg/kg twice,and the DP group was injected with dexmedetomidine of 25 μg/kg plus propofol of 50 mg/kg.The ADP group was treated with adenovirus to construct an AKAP150 knockout model.Expression levels of AKAP150,PKA,NLRP3,GSDMD,IL-1β and IL-18 in hippocampus were detected by Western blot.The ultrastructure of hippocampus was observed by transmission electron microscopy.Results After propofol treatment,hippocampal cell membrane split and pores formed,expressions of AKAP150 and PKA were down-regulated(P<0.05),while expressions of NLRP3,GSDMD,IL-1β and IL-18 were up-regulated(P<0.05),and the frequency of crossing the platform was decreased(P<0.05).After pre-administration of dexmedetomidine,the cell membrane structure of hippocampus was basically normal,expressions of AKAP150 and PKA were up-regulated(P<0.05),expressions of NLRP3,GSDMD,IL-1β and IL-18 were down-regulated(P<0.05),and the frequency of crossing the platform was increased(P<0.05).Conclusions Dexmedetomidine may enhance the activity of PKA and inhibit expressions of NLRP3,GSDMD,IL-1β and IL-18 by activating expression of AKAP150,thereby alleviating propofol-induced pyroptosis in hippocampal tissues and improving learning and memory impairment in rats at developmental stage.

Objective To construct a new type of glucosamine/DNA composite nanostructure(NTGlcN)assembled without magnesium,verify whether or not glucosamine can mediate the assembly of DNA nanotubes(NT)and assess its effect on the function of Raw264.7 cells.Methods Utilizing the gradient annealing method with 3 DNA single strands Y1,Y2,and Y3,glucosamine(GlcN)was employed to mediate the assembly of DNA NT,resulting in the formation of glucosamine/DNA composite nanostructures.Atomic force microscopy(AFM)was used to observe the surface structure of the nanomaterial and dynamic light scattering(DLS)was used to measure its size.RAW264.7 cells were used in cell experiments.The cytotoxicity of GlcN and NTGlcN was assessed using CCK-8 assay.Flow cytometry and laser confocal microscopy were employed to investigate the cellular uptake efficiency of the nanostructures.The effects of NTGlcN and NTMg(Mg2+-assembled of DNA NT)on the expression levels of inflammatory cytokines(IL-1β,IL-6)in macrophages induced by lipopolysaccharides(LPS)were evaluated using RT-qPCR.Results GlcN successfully mediated the synthesis of NTGlcN,which exhibited good stability.AFM characterization results revealed that NTGlcN formed tubular particles that were uniformly distributed on the surface of mica.DLS measurements indicated that the diameter of NTGlcN was approximately 15.26±3.86 nm.Cell experiments demonstrated that,compared to NTMg,macrophages exhibited a higher cellular uptake efficiency for NTGlcN,with a higher cell survival rate following treatment with NTGlcN(P＜0.05).After NTGlcN treatment,the expression of inflammatory cytokines in LPS-induced macrophages was reduced(P＜0.05).Conclusion The glucosamine/DNA composite nanostructures have been successfully developed,possessing excellent stability,biocompatibility and cell uptake efficiency.NTGlcN is capable of reducing the cytotoxicity of GlcN and can suppress cellular inflammatory responses by decreasing the expression of inflammatory cytokines in RAW264.7 cells.

Despite significant achievements of deep learning in medical image segmentation,there are challenges for brain tumor segmentation using deep learning,such as insufficient receptive field,excessive redundant information,and information loss.To address these issues,a novel brain tumor segmentation network model(EAU-Net)is proposed based on encoder-decoder structure.EAU-Net incorporates an effective receptive field expansion block and an attention fusion module to minimize the adverse effects caused by insufficient receptive field and excessive redundant information which often occurred in the current brain tumor segmentation network.Additionally,a bottleneck resampling module based on inverted residual structure is introduced to effectively avoid information loss during upsampling and downsampling,while deep convolutions are used to reduce computational complexity.Experimental results on the BraTS2020 dataset reveal that EAU-Net achieves the highest segmentation accuracy,demonstrating its feasibility and effectiveness for brain tumor segmentation.

Objective To develop a medical positive pressure protective suit for long-voyage aeromedical evacuation to realize protective isolation and drinking water and energy supply for medical personnel during long-voyage aeromedical evacuation of respiratory infectious disease patients.Methods The medical positive pressure protective suit had a one-piece structure,with its main part made of hydroentangled non-woven fabric,head and forebreast parts made of amorphous polyethylene terephthalate anti-fog material and wearing-and taking-off parts sealed with zipper and autohesion,which was equipped with a portable positive pressure air supply device,an airborne centralized positive pressure air supply device and a monitoring and warning device.The portable positive pressure air supply device was fixed in the back of the suit at the waist,the airborne device was made by modifying the commercially available positive pressure air supply fan,and the monitoring and warning device monitored the air supply volume of the fan,the battery power and the pressure inside the suit.Results The suit behaved well in protection,clean fresh air supply without time limitation and facilitating hydration and energy replenishment of medical personnel by forming three activity spaces.Conclusion The suit developed can continuously provide a clean and comfortable microenvironment,meeting the requirements of medical personnel for protection and hydration and energy replenishment during long-voyage aeromedical evacuation.[Chinese Medical Equipment Journal,2024,45(11):113-116]

Lithocarpus litseifolius is rich in the chalcones phloridzin and trilobatin, the biosynthesis pathways of which have not been fully demonstrated. Chalcone synthase(CHS) is the first key rate-limiting enzyme in the biosynthesis of flavonoids in plants. To explore the functions of CHS gene family in chalcone synthesis of L. litseifolius, this study screened out two CHS genes(LlCHS1 and LlCHS2) from the transcriptome data of this plant, and then bioinformatics analysis and functional characterization were performed for the two genes. The bioinformatics analysis showed that LlCHS1 and LlCHS2 were acidic hydrophilic stable proteins with no transmembrane domain, composed of 395 and 390 amino acid residues, respectively. Both of them contained the characteristic amino acid sequence "WGVLFGFGPGL" and highly conserved active sites(Cys-164, Phe-215, His-303, and Asn-336) of the CHS family. The phylogenetic tree showed that LlCHS1 shared the same clade with similar genes in Aquilaria sinensis, and LlCHS2 was closely related to similar genes in Malus domestica. Under exogenous addition of phloretic acid, co-expression of LlCHS1 or LlCHS2 with Aa4CL from Aromatoleum aromaticum in Escherichia coli catalyzed the production of phloretin from phloretic acid. This study laid a theoretical foundation for revealing the functions of CHS in plants and provided new enzymatic modules for producing phloretin by synthetic biology.
Acyltransferases/chemistry* ; Phylogeny ; Plant Proteins/chemistry* ; Cloning, Molecular ; Amino Acid Sequence

Abstract: Objective　To predict the potential distribution of talaromycosis marneffei (TSM) and analyze its driving factors, so as to provide evidence for the surveillance and prevention of this disease. Methods　The data of all laboratory-confirmed, non-duplicating TSM published in the English and Chinese literature from the first case in January 1964 to December 2018 was collected. A Maxent ecology model using environmental variables, Rhizomys distribution and HIV/AIDS epidemic was developed to forecast ecological niche of TSM worldwide, as well as identify the driving factors. Results　A total of 705 articles (477 in Chinese and 228 in English) were obtained during the study period. After excluding imported cases, a total of 100 foci information were included in the model. The area under the receiver operating characteristic (ROC) curve (AUC) of the model was 0.997 for the training set and 0.991 for the test set. Maxent model revealed that Rhizomys distribution, mean temperature of warmest quarter, precipitation of wettest month, HIV/AIDS epidemic and mean temperature of driest quarter were the top 5 important variables affecting TSM distribution. In addition to identifying traditional TSM endemic areas (South of the Yangtze River in China, Southeast Asian, North and Northeast India), other potential endemic areas were also identified, including parts of the North of the Yangtze River, Central America, West Coast of Africa, East Coast of South America, the Korean Peninsula and Japan. Conclusion　Our finding has discovered hidden high-risk areas and provided insights about driving factors of TSM distribution, which will help inform surveillance strategies and improve the effectiveness of public health interventions against TM infections.

Objective: To evaluate the secondary attack rates of the SARS-CoV-2 Omicron variant and the associated factors. Methods: A total of 328 primary cases and 40 146 close contacts of the SARS-CoV-2 Omicron variant routinely detected in local areas of Jiangsu Province from February to April 2022 were selected in this study, and those with positive nucleic acid test results during 7 days of centralized isolation medical observation were defined as secondary cases. The demographic information and clinical characteristics were collected, and the secondary attack rate (SAR) and the associated factors were analyzed by using a multivariate logistic regression model. Results: A total of 1 285 secondary cases of close contacts were reported from 328 primary cases, with a SAR of 3.2% (95%CI: 3.0%-3.4%). Among the 328 primary cases, males accounted for 61.9% (203 cases), with the median age (Q₁, Q₃) of 38.5 (27, 51) years old. Among the 1 285 secondary cases, males accounted for 59.1% (759 cases), with the median age (Q₁, Q₃) of 34 (17, 52) years old. The multivariate logistic regression model showed that the higher SAR was observed in the primary male cases (OR=1.632, 95%CI: 1.418-1.877), younger than 20 years old (OR=1.766, 95%CI: 1.506-2.072),≥60 years old (OR=1.869, 95%CI: 1.476-2.365), infected with the BA.2 strain branch (OR=2.906, 95%CI: 2.388-3.537), the confirmed common cases (OR=2.572, 95%CI: 2.036-3.249), and confirmed mild cases (OR=1.717, 95%CI: 1.486-1.985). Meanwhile, the higher SAR was observed in the close contacts younger than 20 years old (OR=2.604, 95%CI: 2.250-3.015),≥60 years old (OR=1.287, 95%CI: 1.052-1.573) and exposure for co-residence (OR=27.854, 95%CI: 23.470-33.057). Conclusion: The sex and age of the primary case of the Omicron variant, the branch of the infected strain, case severity of the primary case, as well as the age and contact mode of close contacts are the associated factors of SAR.
Humans ; Male ; Middle Aged ; Young Adult ; Adult ; COVID-19/epidemiology* ; Incidence ; SARS-CoV-2 ; Logistic Models