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  • Original articles
    LIU Yichen, YAN Dongfei, LI Zhixin, MAO Yingchun, LI Zhihui, DONG Guofu, WANG Changzhen
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    Objective To investigate the role of Kelch-like- epichlorohydrin-associated protein1/nuclear factor erythroid-derived factor-2-related factor 2 (Keap1-Nrf2) and nuclear factor-κB(NF-κB) signaling pathways in sepsis-associated encephalopathy(SAE). Methods Male C57BL/6J mice of SPF were randomly divided into four groups (n=10): the control group and LPS 6 h, 24 h and 48 h groups. The behavioral changes of the mice were assessed based on their general conditions and open field test(OFT). ELISA was used to measure the levels of pro-inflammatory cytokines in mouse serum, and the antioxidant capacity assay kit to examine antioxidant activity in brain tissues of mice. Real-time quantitative PCR(qPCR) was adopted to detect the mRNA levels of toll-like receptor4 (Tlr4), NF-κB, Keap1 and Nrf2 in the hippocampus, and to determine protein expressions of NF-κB、Nrf2、Keap1 and Tlr4 with Western blotting. Results Compared to the control group, the serum concentrations of interleukin 6 (IL-6) in lipopolysaccharide(LPS) groups increased at 6 h, and reached the peak at 24 h and 48 h (P<0.01). The levels of serum interleukin 18 (IL-18) in the LPS groups increased significantly at 6 h and 24 h (P<0.01) but there was no statistically significant difference compared with the 48h group. The results indicated the activity of superoxide dismutase(SOD) and glutathione(GSH) in brain tissues in LPS groups increased(P<0.01). OFT results showed the time spent in the center of the open field, the distance covered around the center, and total distance covered by mice in LPS groups were significantly reduced (P<0.01),except for the time spent in the center of the open field in the LPS 24 h group. The mRNA expressions of Tlr4 and (LPS 6 h, 48 h) NF-κB in the hippocampus tissue of mice in LPS groups were elevated (P<0.05), so were the mRNA expressions of Keap1 and Nrf2 in LPS 6 h group. Additionally, the protein expressions of NF-κB, Keap1 and Tlr4 increased in LPS groups, so did the protein expression of Nrf2 in LPS 24 h and 48 h groups(P<0.05). Conclusion Keap1-Nrf2 and NF-κB signaling pathways may play a certain role in SAE.;
  • Original articles
    ZHAI Rui, TAI Fumin, DING Kexin, GE Changhui, ZHENG Xiaofei, FU Hanjiang
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    Objective To investigate the protective effect and mechanism of glutathione peroxidase 3-(GPx3) modified mesenchymal stem cells (MSC) against radiation-induced lung injury (RILI). Methods GPx3-modified MSCs were injected into the tail vein of mice whose lungs were irradiated with 20 Gy. Lung tissues were collected and sections were stained to observe pathological changes. The expression levels of inflammation-related factors were detected by real time quantitative PCR(qPCR), while the levels of malondialdehyde (MDA), H2O2, and 8-hydroxyguanine (8-OHG) were detected via biochemical experiments. Additionally, RNA damage was assessed by reverse transcription blocking combining with double primer PCR. Results GPx3-modified MSCs significantly improved the pathological damage in post-radiation lung tissues and inhibited the fibrosis process and inflammatory response. GPx3-modified MSCs were able to scavenge reactive oxygen species (ROS) more effectively, resulting in a reduction of lipid peroxidation products such as MDA and oxidative damage to RNA formation of 8-OHG. Conclusion By decreasing ROS accumulation, GPx3-modified MSCs can potentially reduce oxidative damage and attenuate RILI. GPx3-modified MSCs can improve the therapeutic efficacy against RILI.
  • Original articles
    LI Xue, MAO Zhuang, WANG Changyao, WANG Hua
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    Objective To evaluate the protective effect of dental pulp stem cells (DPSCs) against high-altitude pulmonary edema (HAPE) and explore the mechanism. Methods Twenty-one Sprague-Dawley rats were randomly divided into the normal control group (Control), high altitude pulmonary edema group (HAPE) and DPSC prevention group (DPSC). Three days and one day before the hypobaric and hypoxia environment was simulated, DPSCs were administrated via the tail vein in the DPSC group, and phosphate buffered saline(PBS) of the same volume was injected in the control group and HAPE group. After that, rats in the HAPE group and DPSC group were placed in a simulated hypobaric and hypoxic cabin to simulate the environment at an altitude of 6000 m before an HAPE model was established. The rats were sacrificed 3 days later, and the histopathological changes of lung tissue were observed via hematoxylin-eosine (HE) staining. The dry/wet weight of lung tissues was recorded. The concentrations of total protein in lung homogenate were detected using the BCA method. The expression of aquaporin 1 (APQ-1) in lung tissue was detected by real-time reverse transcription polymerase chain reaction (RT-PCR) and Western blotting. Colorimetry and enzyme linked immunosorbent assay (ELISA) were used to detect the concentrations of plasma vasoactive substances. The expression of inflammatory factors in serum and lung tissue was detected by ELISA and RT-PCR respectively. Results After three days of treatment in a simulated hypobaric and hypoxic environment, the lung tissue of the HAPE group showed infiltration of inflammatory cells, alveolar wall thickening, alveolar septum thickening and increases of exudation. DPSC prevention could significantly reduce the histopathological damage to the lung. Lung water content (LWC) and total protein content of lung homogenate were significantly increased in the HAPE group but obviously reduced in the DPSC prevention group, and the difference between the two groups was statistically significant (P<0.01). The protein and mRNA expression levels of AQP-1 in lung tissue of the HAPE group were significantly decreased, but prevention via DPSCs could enhance the expression of AQP-1 in lung tissue. In the HAPE group, the concentrations of nitrous oxide (NO) and prostacyclin (PGI2) in plasma were significantly decreased, but prevention via DPSCs could significantly increase the expression of plasma vasoactive substances. The expressions of inflammatory factors interleukin-1α (IL-1α) and tumor necrosis factor-α(TNF-α) in serum and lung tissue of the HAPE group increased significantly, but decreased in the DPSC prevention group. Conclusion DPSCs can help prevent high-altitude pulmonary edema in rats by promoting the expression of aquaporin, increasing the content of vasodilators in plasma and reducing the expression of inflammatory factors in serum and lung tissue.;
  • Original articles
    HUANG Ping, ZHANG Guanying, CHI Xiangyang, SUN Hancong, FANG Ting, YU Changming, CHEN Wei
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    Objective To construct secretory IgA (sIgA) based on the previously screened IgG neutralizing antibody ZW2G10 against SARS-CoV-2, evaluate its activity and find out about the biodistribution of sIgA in ICR mice after nasal administration. Methods After expression, purification, and identification, sIgA was evaluated for its binding and neutralizing activity through ELISA and pseudovirus-based neutralization assays. SIgA was coupled with Alexa Fluor 750 dye and administered to mice via nasal administration. In vivo imaging was used to observe the biodistribution of sIgA. After dissection of the mice, the biodistribution of sIgA in various tissues and organs was observed. Results Compared with IgG, sIgA retained the binding ability to SARS-CoV-2 S proteins, and its neutralizing ability was enhanced. After nasal administration of a single dose of 1 mg/kg, sIgA could be retained in the lungs of mice for more than 72 hours. SIgA could be detected only in the nasal cavity and gastrointestinal tract within 8 h of administration, but not in the heart, liver, kidney, spleen, brain, bladder or blood. Conclusion In this study, a universal and efficient sIgA expression system has been established. sIgA can effectively target the respiratory tract and lungs after nasal administration. SIgA is expected to become a potential drug that provides immediate passive immune protection.
  • Original articles
    ZHAO Lu, FENG Ye, ZHANG Sen, CHEN Yuehong, LI Jing, LI Yuchang, JIANG Tao
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    Objective To identify stable reference genes for a comparison of the transcription levels of target host genes under viral infection in order to provide data for studies on interactions between the host and the influenza virus. Methods Reverse transcription quantitative real-time PCR (RT-qPCR) was performed to detect the relative expression levels of six candidate reference genes, including glyceraldehyde 3-phosphate dehydrogenase(GAPDH), β-actin, 18S RNA, β; 2-microglobulin (B2M), ubiquitin-conjugating enzyme E2D2(UBE2D2), and ribosomal protein L37A(RPL37A) in classical cell models (A549 cells and THP-1 cells) under different conditions. The stability of the reference genes was evaluated using such methods as BestKeeper, GeNorm, NormFinder, and comparative ΔCt method. Results The stability of reference genes varied depending on conditions. When such experimental factors as influenza virus infection and immune activation were taken into consideration, β-actin and GAPDH were identified as the most stable reference genes in A549 cells and THP-1 cells, followed by UBE2D2 and B2M. Conclusion The optimal reference genes in A549 cells and THP-1 cells under influenza virus infection or after being treated with interferons or LPS have been identified, which is of referential value for studying the mechanisms of viral infections.;
  • Original articles
    SONG Qiuyue, CHEN Yuan, JIA Shuyu, YING Xiaomin, HE Zhen
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    Objective To develop multimodal joint cognitive representations for the research of visual cognitive activities of the brain, enhance the classification performance of visual information cognitive representations, predict brain electroencephalogram (EEG) responses from visual image features, and decode visual images from EEG signals. Methods A architecture combining a multimodal variational autoencoder network with the Mixture of Product Experts (MoPoE) approach and with a style generation adversarial network based on adaptive discriminator augmentation (StyleGAN2-ADA) was used for facilitating the learning of cognitive representations and the encoding and decoding of EEG signals. This framework not only catered to classification tasks but also enabled cross-modal generation of images and EEG data. Results The present study integrated features from different modalities, enhancing the classification accuracy of cognitive representations of visual information. By aligning the feature spaces of diverse modalities into a cohesive latent space, cross-modal generation tasks were made possible. The cross-modal generation results of EEG and images, derived from this unified latent space, outperformed the one-way mapping methods that involved transition from one modality to another employed in previous research. Conclusion This study effectively integrates and aligns information from various modalities, enabling the classification performance of joint cognitive representations beyond any single modality. Moreover, the study demonstrates superior outcomes in cross-modal generation tasks compared to modality-specific unidirectional mappings, which is expected to offer a new line of thought for the effective unified encoding and decoding modeling of visual cognitive information in the brain.
  • Original articles
    ZHAO Wenbin, LUO Xiaowei, TONG Fan, ZHENG Xiangwen, ZHAO Dongsheng
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    Objective To analyze the hotspots and developments in the field of language model-assisted artificial intelligence (AI) for antibody design and optimization in order to provide reference for research on development of antibodies. Methods By using CiteSpace software, hotspots of research were analyzed based on literature retrieved from the Web of Science, PubMed, and Scopus databases, focusing on three pivotal areas of research related to antibody design and optimization: the construction of pre-trained language models for antibodies, the generation of antibody sequences, and the prediction of three-dimensional structures of antibodies. In addition, this analysis reviewed the major advances in each of the specified research tasks, focusing on the delineation of similarities and differences across studies and dominating challenges in this field. Results From 2019 (10 publications) to 2023 (89 publications), the scale of and interest in this field kept increasing. Hotspots involved leveraging language models to assist the design or optimization of humanized, high-affinity, and highly specific antibodies. Within each research, methods were characterized by the diversity of model architectures, consistency of training data, and variations in training strategies. Challenges to the field included sparse antigen data, computational power limitations, and insufficient integration of wet and dry lab experiments. Conclusion Research in language model-assisted AI antibody design and optimization is gaining momentum and proves fruitful. However, researchers should be alert to the inadequate attention to antigen-antibody interactions and insufficient integration of experimental and computational validation, conduct more in-depth research and expand applications.
  • Original articles
    PENG Mei, HUANG Ye, ZHENG Li, LI Junhui, ZHANG Hongxing
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    Objective To assess causal associations between specific gut microbiota and different types of cancer by using the two-sample Mendelian randomization (MR) analysis method. Methods On the basis of summary statistics of gut microbiota from a genome-wide association study (GWAS) conducted in German population (n=8956), single nucleotide polymorphisms (SNPs) that were significantly associated with 430 gut microbiota features were extracted as instrumental variables (IVs). Summary statistics from the GWAS of 17 types of cancer were used as outcomes. Two-sample MR analysis was used to explore the causal relationship between gut microbiota and pan-cancer, where the analysis results were dominated by inverse variance weighting. Meanwhile, sensitivity analyse of heterogeneity and horizontal pleiotropy test were done to keep the stability of results. Results The genetic susceptibility of 17 gut microbiota features was causally associated with the occurrence and development of 11 different types of cancer,respectively. Conclusion By exploring the causal relationship between different gut microbiota features and pan-cancer,this study has found a potential causal relationship between specific gut microbiota features and cancer, and these gut microbiota may become new biomarkers to provide new ideas for cancer prevention, early screening, and treatment.
  • Original articles
    DU Yi, LIU Kejia, HAN Chaoru, XU Shuai, LI Juanjuan, ZHAO Jingjie
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    Objective To summarize the common traditional Chinese medicine (TCM) syndrome types and syndrome characteristics of depressive disorder (DD) by analyzing the existing clinical research literature, and to provide a basis for TCM syndrome classification and research on DD. Methods The documents related to TCM syndrome classification of DD were retrieved systematically from China National Knowledge Infrastructure (CNKI), China Biology Medicine Literature Service System (SinoMed), China Science and Technology Journal Database (VIP) and China Academic Journals Full-text Database (WanFang). The literature was organized and analyzed, and Gephi software was used to do the visual analysis. Results A total of 262 literature that met the criteria were included in the study. The annual average number of publications exceeds 10 articles since 2010. The top 5 syndrome types in TCM were Liver Qi Stagnation (LQS) type, Liver Stagnation and Spleen Deficiency (LSSD) type, Heart and Spleen Deficiency (HSD) type, Liver Stagnation and Phlegm Obstruction type and Liver Stagnation and Kidney Deficiency type, viscera syndrome classification mainly involved Liver, Spleen, Heart, Kidney and Gallbladder. The main syndrome type based on deficiency-excess syndrome classification was excess type. The strongest correlation of excess type was LQS, the strongest correlation of deficiency types was HSD, and the strongest correlation of deficiency and excess mixed syndrome type was LSSD. Conclusion The publication volume of literature related to TCM syndrome types of DD shows a fluctuating upward trend. The occurrence and development of DD are related to dysfunction of multiple organs, and liver stagnation is the core syndrome, which may run through the entire process of DD.
  • Original articles
    SONG Yabin, ZHAO Xiaodong, WANG Baogang, ZHAO Jin
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    In recent years, public health events caused by severe infectious diseases had a profound impact on human health,economic and social development. Drug stockpiling for infectious disease prevention and treatment is of great significance in improving the ability to respond to public health events.However, the drug stockpiling system of China for infectious disease prevention and treatment still needs to be improved. Based on the investigation and comparison of the current status of drug stockpiling for infectious disease prevention and treatment between China and the United States, this article proposes some suggestions according to China's specific circumstances for reference.
  • Reviews
  • Reviews
    ZHAO Ning, HAN Yongjiao, LI Jiaxu, WANG Chaojie, DENG Jiang, ZHANG Yangyang, ZHANG Yanyu
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    Bacteria have posed a threat to human health,and the emergence of super bacteria has made it more difficult to cure bacterial infections in clinical practice. Currently,vaccines are one of the effective means of preventing bacterial infections. With the rapid development of cutting-edge technologies in recent years in such disciplines as biology,medicine,and materials science,various innovative strategies have been provided for vaccine research and preparation. This article summarizes the status quo and prospects of innovative vaccines for treating bacterial infections in recent years,including subunit vaccines,mRNA vaccines and attenuated live vaccine in the hopes of providing data for subsequent development and research of bacterial vaccines.
  • Reviews
    CHEN Honglei, REN Peng, LI Yunfeng
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    Major depressive disorder (MDD) is a mental disease characterized by persistent depression, lack of interest and impaired cognitive function. Antidepressants currently availablein clinic are effective but accompanied by many adverse reactions, such as slow onset, cognitive impairment, sexual dysfunction.Therefore, novel antidepressant targets and therapeutic strategies with rapid onset of action, cognitive enhancement and low adverse effects have increasingly become a promising sphere of research. Studies have suggested that Sigma-1 receptor plays an important role in combating depression by regulating inflammatory response, excitation /inhibition balance and endoplasmic reticulum homeostasis.Moreover, Sigma-1 receptor agonists may have the advantages of rapid onset, enhanced cognition and low adverse reactions, which show good prospects for the development of new antidepressants. This article reviews the research progress related to Sigma1 receptors in the regulatory mechanism and treatments for depression in the hopes of providing new insights into new antidepressants.
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