1.Enzyme-directed Immobilization Strategies for Biosensor Applications
Xing-Bao WANG ; Yao-Hong MA ; Yun-Long XUE ; Xiao-Zhen HUANG ; Yue SHAO ; Yi YU ; Bing-Lian WANG ; Qing-Ai LIU ; Li-He ZHANG ; Wei-Li GONG
Progress in Biochemistry and Biophysics 2025;52(2):374-394
Immobilized enzyme-based enzyme electrode biosensors, characterized by high sensitivity and efficiency, strong specificity, and compact size, demonstrate broad application prospects in life science research, disease diagnosis and monitoring, etc. Immobilization of enzyme is a critical step in determining the performance (stability, sensitivity, and reproducibility) of the biosensors. Random immobilization (physical adsorption, covalent cross-linking, etc.) can easily bring about problems, such as decreased enzyme activity and relatively unstable immobilization. Whereas, directional immobilization utilizing amino acid residue mutation, affinity peptide fusion, or nucleotide-specific binding to restrict the orientation of the enzymes provides new possibilities to solve the problems caused by random immobilization. In this paper, the principles, advantages and disadvantages and the application progress of enzyme electrode biosensors of different directional immobilization strategies for enzyme molecular sensing elements by specific amino acids (lysine, histidine, cysteine, unnatural amino acid) with functional groups introduced based on site-specific mutation, affinity peptides (gold binding peptides, carbon binding peptides, carbohydrate binding domains) fused through genetic engineering, and specific binding between nucleotides and target enzymes (proteins) were reviewed, and the application fields, advantages and limitations of various immobilized enzyme interface characterization techniques were discussed, hoping to provide theoretical and technical guidance for the creation of high-performance enzyme sensing elements and the manufacture of enzyme electrode sensors.
2.Role of Innate Trained Immunity in Diseases
Chuang CHENG ; Yue-Qing WANG ; Xiao-Qin MU ; Xi ZHENG ; Jing HE ; Jun WANG ; Chao TAN ; Xiao-Wen LIU ; Li-Li ZOU
Progress in Biochemistry and Biophysics 2025;52(1):119-132
The innate immune system can be boosted in response to subsequent triggers by pre-exposure to microbes or microbial products, known as “trained immunity”. Compared to classical immune memory, innate trained immunity has several different features. Firstly, the molecules involved in trained immunity differ from those involved in classical immune memory. Innate trained immunity mainly involves innate immune cells (e.g., myeloid immune cells, natural killer cells, innate lymphoid cells) and their effector molecules (e.g., pattern recognition receptor (PRR), various cytokines), as well as some kinds of non-immune cells (e.g., microglial cells). Secondly, the increased responsiveness to secondary stimuli during innate trained immunity is not specific to a particular pathogen, but influences epigenetic reprogramming in the cell through signaling pathways, leading to the sustained changes in genes transcriptional process, which ultimately affects cellular physiology without permanent genetic changes (e.g., mutations or recombination). Finally, innate trained immunity relies on an altered functional state of innate immune cells that could persist for weeks to months after initial stimulus removal. An appropriate inducer could induce trained immunity in innate lymphocytes, such as exogenous stimulants (including vaccines) and endogenous stimulants, which was firstly discovered in bone marrow derived immune cells. However, mature bone marrow derived immune cells are short-lived cells, that may not be able to transmit memory phenotypes to their offspring and provide long-term protection. Therefore, trained immunity is more likely to be relied on long-lived cells, such as epithelial stem cells, mesenchymal stromal cells and non-immune cells such as fibroblasts. Epigenetic reprogramming is one of the key molecular mechanisms that induces trained immunity, including DNA modifications, non-coding RNAs, histone modifications and chromatin remodeling. In addition to epigenetic reprogramming, different cellular metabolic pathways are involved in the regulation of innate trained immunity, including aerobic glycolysis, glutamine catabolism, cholesterol metabolism and fatty acid synthesis, through a series of intracellular cascade responses triggered by the recognition of PRR specific ligands. In the view of evolutionary, trained immunity is beneficial in enhancing protection against secondary infections with an induction in the evolutionary protective process against infections. Therefore, innate trained immunity plays an important role in therapy against diseases such as tumors and infections, which has signature therapeutic effects in these diseases. In organ transplantation, trained immunity has been associated with acute rejection, which prolongs the survival of allografts. However, trained immunity is not always protective but pathological in some cases, and dysregulated trained immunity contributes to the development of inflammatory and autoimmune diseases. Trained immunity provides a novel form of immune memory, but when inappropriately activated, may lead to an attack on tissues, causing autoinflammation. In autoimmune diseases such as rheumatoid arthritis and atherosclerosis, trained immunity may lead to enhance inflammation and tissue lesion in diseased regions. In Alzheimer’s disease and Parkinson’s disease, trained immunity may lead to over-activation of microglial cells, triggering neuroinflammation even nerve injury. This paper summarizes the basis and mechanisms of innate trained immunity, including the different cell types involved, the impacts on diseases and the effects as a therapeutic strategy to provide novel ideas for different diseases.
3.Five new triterpenoid saponins from the kernels of Momordica cochinchinensis
Ru DING ; Jia-qi WANG ; Yi-yang LUO ; Yong-long HAN ; Xiao-bo LI ; Meng-yue WANG
Acta Pharmaceutica Sinica 2025;60(2):442-448
Five saponins were isolated from the kernels of
4.Correlation of MET Status with Clinicopathological Features and Prognosis of Advanced Prostatic Acinar Adenocarcinoma
Weiying HE ; Wenjia SUN ; Huiyu LI ; Yanggeling ZHANG ; De WU ; Chunxia AO ; Jincheng WANG ; Yanan YANG ; Xuexue XIAO ; Luyao ZHANG ; Xiyuan WANG ; Junqiu YUE
Cancer Research on Prevention and Treatment 2025;52(8):698-704
Objective To explore the correlation of MET status in patients with advanced prostatic acinar adenocarcinoma with the clinical pathological parameters and prognosis. Methods The specimen from 135 patients with advanced prostatic acinar adenocarcinoma was included. The expression of c-MET protein was detected via immunohistochemistry, and MET gene amplification was assessed by fluorescence in situ hybridization. The relationships of c-MET expression and gene amplification with clinicopathological features and prognosis were analyzed. Results The positive expression rate of c-MET was 52.60% (71/135). Compared with the c-MET expression in adjacent tissues, that in tumor tissues showed lower heterogeneous expression. Among the cases, 1.71% (2/117) exhibited MET gene polyploidy, but no gene amplification was detected. Positive c-MET expression was significantly correlated with high Gleason scores and grade groups (P=
5.Epidemiological characteristics of foodborne disease outbreaks in Wuhan, Hubei Province from 2006 to 2023
Yue ZHOU ; Mengdie SHI ; Xiao WANG ; Xiaomin WU ; Yating WU
Shanghai Journal of Preventive Medicine 2025;37(7):549-555
ObjectiveTo analyze the epidemiological characteristics of foodborne disease outbreaks in Wuhan from 2006 to 2023, and to provide a scientific basis for the development of foodborne disease prevention and control measures. MethodsDescriptive statistical analyses were performed on foodborne disease outbreaks confirmed by the district and municipal center for disease control and prevention (CDC) in Wuhan from 2006 to 2023, and the attack rate and case fatality rate were calculated as well. ResultsA total of 182 foodborne disease outbreaks were reported in Wuhan from 2006 to 2023, with a cumulative of 2 820 cases. Among which, 3 cases were dead, with an annual average attack rate of 1.22% and a case fatality rate of 0.11%. The highest number of outbreaks occurred in collective canteens (43.96%, 80/182), the highest attack rate was observed in catering facilities (11.03%), and the highest case fatality rate was found in households (1.45%). Among the foodborne disease outbreaks with identified etiologies, microbial factors were the leading causes (36.26%, 66/182), with the main pathogens being norovirus, Bacillus cereus, and other unspecified bacteria. Fungal factors were mainly attributed to poisonous mushrooms, with a relatively high fatality rate of 2.22% (2/90). Outbreaks caused by bacterial factors were more common in the central urban area (30.28%, 33/109), while fungal-related outbreaks were more frequent in the outlying urban areas (24.66%, 18/73). ConclusionCollective canteens are the main venues for foodborne disease outbreaks in Wuhan. Microbial factors are the main pathogenic factors, and poisonous mushrooms are the leading causes to death. It is necessary to strengthen the supervision on collective canteens, carry out various forms of public awareness campaigns on poisonous mushroom poisoning, and, if required, cooperate with the gardening department to eradicate wild poisonous mushrooms in the green belts. A collaborative cooperation involving multiple departments is essential to reduce the occurrence of foodborne disease outbreaks.
6.Expert consensus on the positioning of the "Three-in-One" Registration and Evaluation Evidence System and the value of orientation of the "personal experience"
Qi WANG ; Yongyan WANG ; Wei XIAO ; Jinzhou TIAN ; Shilin CHEN ; Liguo ZHU ; Guangrong SUN ; Daning ZHANG ; Daihan ZHOU ; Guoqiang MEI ; Baofan SHEN ; Qingguo WANG ; Xixing WANG ; Zheng NAN ; Mingxiang HAN ; Yue GAO ; Xiaohe XIAO ; Xiaobo SUN ; Kaiwen HU ; Liqun JIA ; Li FENG ; Chengyu WU ; Xia DING
Journal of Beijing University of Traditional Chinese Medicine 2025;48(4):445-450
Traditional Chinese Medicine (TCM), as a treasure of the Chinese nation, plays a significant role in maintaining public health. In 2019, the Central Committee of the Communist Party of China and the State Council proposed for the first time the establishment of a TCM registration and evaluation evidence system that integrates TCM theory, "personal experience" and clinical trials (referred to as the "Three-in-One" System) to promote the inheritance and innovation of TCM. Subsequently, the National Medical Products Administration issued several guiding principles to advance the improvement and implementation of this system. Owing to the complexity of its implementation, there are still differing understandings within the TCM industry regarding the positioning of the "Three-in-One" Registration and Evaluation Evidence System, as well as the connotation and value orientation of the "personal experience." To address this, Academician WANG Qi, President of the TCM Association, China International Exchange and Promotion Association for Medical and Healthcare and TCM master, led a group of academicians, TCM masters, TCM pharmacology experts and clinical TCM experts to convene a "Seminar on Promoting the Implementation of the ′Three-in-One′ Registration and Evaluation Evidence System for Chinese Medicinals." Through extensive discussions, an expert consensus was formed, clarifying the different roles of the TCM theory, "personal experience" and clinical trials within the system. It was further emphasized that the "personal experience" is the core of this system, and its data should be derived from clinical practice scenarios. In the future, the improvement of this system will require collaborative efforts across multiple fields to promote the high-quality development of the Chinese medicinal industry.
7.Assessment of genetic associations between antidepressant drug targets and various stroke subtypes: A Mendelian randomization approach.
Luyang ZHANG ; Yunhui CHU ; Man CHEN ; Yue TANG ; Xiaowei PANG ; Luoqi ZHOU ; Sheng YANG ; Minghao DONG ; Jun XIAO ; Ke SHANG ; Gang DENG ; Wei WANG ; Chuan QIN ; Daishi TIAN
Chinese Medical Journal 2025;138(4):487-489
8.Life's Essential 8 cardiovascular health metrics and long-term risk of cardiovascular disease at different stages: A multi-stage analysis.
Jiangtao LI ; Yulin HUANG ; Zhao YANG ; Yongchen HAO ; Qiuju DENG ; Na YANG ; Lizhen HAN ; Luoxi XIAO ; Haimei WANG ; Yiming HAO ; Yue QI ; Jing LIU
Chinese Medical Journal 2025;138(5):592-594
9.Diagnosis and treatment of colorectal liver metastases: Chinese expert consensus-based multidisciplinary team (2024 edition).
Wen ZHANG ; Xinyu BI ; Yongkun SUN ; Yuan TANG ; Haizhen LU ; Jun JIANG ; Haitao ZHOU ; Yue HAN ; Min YANG ; Xiao CHEN ; Zhen HUANG ; Weihua LI ; Zhiyu LI ; Yufei LU ; Kun WANG ; Xiaobo YANG ; Jianguo ZHOU ; Wenyu ZHANG ; Muxing LI ; Yefan ZHANG ; Jianjun ZHAO ; Aiping ZHOU ; Jianqiang CAI
Chinese Medical Journal 2025;138(15):1765-1768
10.Associations between statins and all-cause mortality and cardiovascular events among peritoneal dialysis patients: A multi-center large-scale cohort study.
Shuang GAO ; Lei NAN ; Xinqiu LI ; Shaomei LI ; Huaying PEI ; Jinghong ZHAO ; Ying ZHANG ; Zibo XIONG ; Yumei LIAO ; Ying LI ; Qiongzhen LIN ; Wenbo HU ; Yulin LI ; Liping DUAN ; Zhaoxia ZHENG ; Gang FU ; Shanshan GUO ; Beiru ZHANG ; Rui YU ; Fuyun SUN ; Xiaoying MA ; Li HAO ; Guiling LIU ; Zhanzheng ZHAO ; Jing XIAO ; Yulan SHEN ; Yong ZHANG ; Xuanyi DU ; Tianrong JI ; Yingli YUE ; Shanshan CHEN ; Zhigang MA ; Yingping LI ; Li ZUO ; Huiping ZHAO ; Xianchao ZHANG ; Xuejian WANG ; Yirong LIU ; Xinying GAO ; Xiaoli CHEN ; Hongyi LI ; Shutong DU ; Cui ZHAO ; Zhonggao XU ; Li ZHANG ; Hongyu CHEN ; Li LI ; Lihua WANG ; Yan YAN ; Yingchun MA ; Yuanyuan WEI ; Jingwei ZHOU ; Yan LI ; Caili WANG ; Jie DONG
Chinese Medical Journal 2025;138(21):2856-2858


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