1.Distribution of end digits in standardized blood pressure measurement recordings and evaluation of its effect on initial blood pressure readings
Yiming YAN ; Xin ZHANG ; Jiehua CHEN ; Haijuan SHI ; Bin ZHU ; Yanming WANG ; Chuanying CHEN
Journal of Public Health and Preventive Medicine 2026;37(2):175-179
Objective To analyze the distribution status of the end digits of standardized blood pressure measurement recordings in the clinic and the effectiveness of standardized blood pressure measurement for community hypertension screening. Methods The first visit blood pressure measurement data from the Community Health Service Center in Jing'an District, Shanghai from June 2023 to May 2024 were collected and analyzed. According to different measurement methods, the data were divided into two groups: standardized blood pressure measurement and conventional blood pressure measurement. SPSS 19.0 software was used for data analysis. The differences in the distribution balance of the end digits of blood pressure values and the detection rate of blood pressure elevation between the two different groups were analyzed. Results The frequency range of the end digits of blood pressure recorded values in the standardized pressure measurement group was 9.42% to 10.83%, and the detection rate of elevated blood pressure was 24.89%. The conventional pressure measurement group had a preference of the end digit "0", and the detection rate of elevated blood pressure was only 2.12%. The results of multiple logistic regression analysis showed that gender, age, season, and different blood pressure measurement modes were all influencing factors for the detection rate of elevated blood pressure. Conclusion The standardized blood pressure measurement mode in the clinic is suitable for community hypertension screening and pressure measurement, with higher data quality than the conventional pressure measurement mode.
2.Manganese porphyrin metal-organic framework nanoparticles loaded with DMXAA combined with sonodynamic therapy for the treatment of triple-negative breast cancer mouse xenografts
LIU Qianhui ; GUI Bin ; PU Huan ; LI Zhouchang ; HUANG Xin ; ZHOU Qing ; DENG Qing
Chinese Journal of Cancer Biotherapy 2026;33(3):262-269
[摘 要] 目的:构建负载STING激动剂DMXAA的锰卟啉金属有机框架纳米颗粒(DPM),探讨其对三阴性乳腺癌(TNBC)细胞4T1及其小鼠移植瘤的治疗效果。方法:通过物理吸附法制备 DPM 纳米颗粒,利用透射电镜、扫描电镜及纳米粒度电位仪表征其形貌与理化性质。常规培养4T1细胞,细胞实验分为对照组、超声辐照组(US组)、DPM治疗组(DPM组)和DPM治疗联合超声辐照组(DPM + US组),用CCK-8法检测细胞活性,免疫荧光法检测高迁移率族蛋白B1(HMGB1)和钙网蛋白(CRT)的表达,WB法检测STING通路相关蛋白的表达。构建4T1细胞移植瘤小鼠模型,分为四组,处理同细胞实验,测量肿瘤体积,免疫荧光法检测移植瘤组织中Ki-67、HMGB1、CRT和缺氧诱导因子-1ɑ(HIF-1ɑ)蛋白的表达,TUNEL法检测细胞凋亡,流式细胞术检测免疫细胞活化情况,对主要器官进行H-E染色,以评估纳米材料的体内安全性。结果:DPM呈梭形,平均粒径(268 ± 3.302)nm,电位(33.1 ± 0.87)mV。细胞实验中,DPM联合超声辐照可明显抑制4T1细胞的增殖(P < 0.001),提高4T1细胞中ROS水平(P < 0.001),诱导4T1细胞CRT表达上调(P < 0.001),HMGB1从细胞核中移至细胞质,激活STING信号通路[p-STING、p-TBK1、p-IRF3蛋白表达均显著增加(均P < 0.001)]。体内实验中,DPM联合超声辐照可显著抑制4T1细胞移植瘤生长(P < 0.001)并促进免疫细胞表型转化(P < 0.001),抑制移植瘤组织中Ki-67、HIF-1α蛋白表达(均P < 0.01),谷胱甘肽(GSH)产生(P < 0.01),促进CRT、HMGB1蛋白表达、ROS产生(P < 0.001),对主要器官结构无明显影响。结论: DPM联合超声辐照可通过激活STING通路显著抑制4T1细胞及其移植瘤的生长,诱导抗肿瘤免疫应答,且对主要器官无明显毒性。
3.Construction and Application of a Real-World Cohort of Community-Acquired Pneumonia Based on a Multimodal Large-Scale Traditional Chinese Medicine Big Data Platform
Zhichao WANG ; Xianmei ZHOU ; Fanchao FENG ; Mengqi WANG ; Xin WANG ; Bin KANG ; Xiaofan YU ; Xiaoxiao WANG ; Lei XIAO ; Juan LI ; Zhichao ZHANG ; Ye MA ; Yeqing JI ; Xin TONG ; Zhuoyue WU ; Jia LIU
Journal of Traditional Chinese Medicine 2026;67(9):961-965
This paper introduces a real-world cohort research model for community-acquired pneumonia (CAP) based on the Jiangsu Traditional Chinese Medicine (TCM) Dominant Diseases Diagnosis and Treatment Data Platform. Firstly, data cleaning is performed by standardizing diagnosis, symptoms, treatment and imaging, intelligently extracting unstructured information, and cleaning and constructing a standardized database. Secondly, for cohort establishment, CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly, in terms of protocol design, the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria, estimate sample size, define interventions, outcomes and economic evaluations, providing a reference for real-world TCM research on CAP.
4.Construction and Application of a Real-World Cohort of Community-Acquired Pneumonia Based on a Multimodal Large-Scale Traditional Chinese Medicine Big Data Platform
Zhichao WANG ; Xianmei ZHOU ; Fanchao FENG ; Mengqi WANG ; Xin WANG ; Bin KANG ; Xiaofan YU ; Xiaoxiao WANG ; Lei XIAO ; Juan LI ; Zhichao ZHANG ; Ye MA ; Yeqing JI ; Xin TONG ; Zhuoyue WU ; Jia LIU
Journal of Traditional Chinese Medicine 2026;67(9):961-965
This paper introduces a real-world cohort research model for community-acquired pneumonia (CAP) based on the Jiangsu Traditional Chinese Medicine (TCM) Dominant Diseases Diagnosis and Treatment Data Platform. Firstly, data cleaning is performed by standardizing diagnosis, symptoms, treatment and imaging, intelligently extracting unstructured information, and cleaning and constructing a standardized database. Secondly, for cohort establishment, CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly, in terms of protocol design, the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria, estimate sample size, define interventions, outcomes and economic evaluations, providing a reference for real-world TCM research on CAP.
5.Predictive model for anxiety symptoms among junior high school students based on machine learning algorithms
YANG Yinmei, FENG Haiyang, LIU Mingxiu, YU Qiurui, MA Xin, YAN Hong, YU Bin, YU Chengcheng
Chinese Journal of School Health 2026;47(5):690-694
Objective:
To explore the influencing factors of anxiety symptoms and to construct a predictive model based on machine learning algorithms, so as to provide support for the prevention and management of anxiety symptoms among junior high school students.
Methods:
From April to May 2023, a stratified random cluster sampling method was adopted to select 8 176 junior high school students from Zhengzhou and Shangqiu citys. All participants completed the Adolescent Self rating Life Events Checklist, the 10item Connor-Davidson Resilience Scale, the School Connectedness Scale, the Parent-Child Cohesion Questionnaire, and the 7 item Generalized Anxiety Disorder Scale. Logistic regression analysis identified the associated factors of anxiety symptoms among junior high school students. Predictive models were constructed using Logistic regression, Random Forest, and eXtreme Gradient Boosting (XGBoost) algorithms, with SHapley Additive exPlanations analysis explaining the optimal model.
Results:
The detection rate of anxiety symptoms among junior high school students was 16.3%. Logistic regression analysis showed that junior high school students who were female ( OR =1.22), in the ninth grade ( OR =1.27), living in urban areas ( OR =1.37), having a father with a college education or above ( OR =1.26), having a mother with a senior high school education ( OR =1.26), and experiencing higher levels of negative life events ( OR =1.05) reported a higher risk of anxiety symptoms(all P <0.05). In contrast, those with moderate family economic status ( OR =0.71), moderate academic burden ( OR =0.59), low academic burden ( OR =0.54), moderate sleep quality ( OR =0.46), good sleep quality ( OR =0.26), excellent sleep quality ( OR =0.15), higher levels of psychological resilience ( OR =0.96), higher levels of school connectedness ( OR =0.96), and higher levels of parent-child cohesion ( OR =0.98) reported a lower risk of anxiety symptoms (all P <0.05). Three machine learning models demonstrated good predictive performance for anxiety symptoms among junior high school students (all AUC>0.8), with the XGBoost model achieving the best predictive performance. SHAP analysis revealed that negative life events, sleep quality, school connectedness, psychological resilience and parent-child cohesion were the top five relevant factors for predicting anxiety symptoms.
Conclusions
The detection rate of anxiety symptoms among junior high school students is relatively high. The XGBoost model is the optimal predictive model for anxiety symptoms in the population. Negative life events, sleep quality, school connectedness, psychological resilience, and parent-child cohesion are significant correlates of anxiety symptoms among junior high school students.
6.The study of m6A methylation-related proteins in the prefrontal cortex of PTSD mice
Jiaying LU ; Luodong YANG ; Keke LU ; Wenlong XIN ; Bin LI ; Qulong LI ; Guiqing ZHANG
Acta Universitatis Medicinalis Anhui 2026;61(3):495-500
ObjectiveTo investigate the expression of prefrontal cortical neurons, methyltransferase-like 3 (METTL3), fat mass and obesity-associated gene (FTO), and AlkB homolog 5 (ALKBH5) proteins in a mouse model of post-traumatic stress disorder (PTSD). MethodsA PTSD mouse model was established using a single prolonged stress and foot shock stimulation (SPSS) method. The despair, anxiety, and learning and memory functions of PTSD mice were assessed through the open field test, Y-maze test, and forced swimming test. Neuronal damage was detected via HE and Nissl staining. The expression levels of METTL3, FTO, ALKBH5, and neuronal nuclear protein (NEUN) were assessed by Western blot and immunofluorescence staining. ResultsCompared to control group, PTSD mice subjected to SPSS exhibited signs of despair, anxiety, and impaired learning and memory. HE and Nissl staining results showed neuronal damage in the prefrontal cortex of PTSD mice. Western blot and immunofluorescence staining results showed that the expression of the m6A-related proteins METTL3 and FTO decreased, while the expression of ALKBH5 increased in the prefrontal cortex. Additionally, NEUN protein levels showed a declining trend. ConclusionThe pathogenesis of PTSD may be associated with neuronal damage in the prefrontal cortex and alterations in m6A methylation proteins.
7.Innovative Development and Cutting-edge Applications of Split Intein Technology
Jin-Qiu GAN ; Xiang-Yu DENG ; Xin-Yan WANG ; Jia-Bin LI
Progress in Biochemistry and Biophysics 2026;53(6):1520-1540
Inteins are unique protein insertion sequences capable of self-excision, enabling the covalent ligation of flanking extein peptides via amide bond formation. This process proceeds spontaneously without requiring external enzymes, cofactors, or chemical reagents, granting inteins exceptional biocompatibility and traceless performance in protein engineering applications. Split inteins represent a specialized and versatile subclass whose splicing domains are encoded by two separate gene fragments rather than a single continuous open reading frame. These fragments, known as the N-terminal (IntN) and C-terminal (IntC) split inteins, associate through non-covalent interactions including hydrophobic forces, hydrogen bonds, and van der Waals forces to assemble into an active three-dimensional structure, which then drives efficient extein ligation and enables protein trans-splicing. Protein trans-splicing mediated by split inteins has become a cornerstone for traceless protein ligation owing to its high specificity and irreversibility, fundamentally reshaping strategies for protein modification, assembly, and functional regulation. Compared with traditional chemical ligation methods, split intein systems require no complex chemical derivatization of peptide fragments and can operate efficiently at micromolar concentrations under physiological conditions, thus avoiding structural and functional damage caused by organic reagents. In contrast to enzymatic ligation tools such as sortase, split inteins eliminate the need for additional enzymes or cofactors, simplifying reaction systems, reducing costs, and minimizing non-specific side products. These distinctive advantages render split inteins highly promising for applications in chemical biology, synthetic biology, and biopharmaceutical development. In recent years, deepened mechanistic understanding has established structure-guided rational design as the primary approach to overcoming key limitations of split inteins, including intrinsic aggregation propensity, strict extein sequence dependence, and limited splicing efficiency. Bioinformatic tools have been used to identify aggregation-prone regions in the IntN fragment, and site-directed mutagenesis of hydrophobic residues, relocation of split sites, or removal of misfolding-prone sequences has substantially reduced in vitro aggregation and improved soluble expression and assembly activity. Rational engineering of catalytic residues and adjacent flexible loops has relaxed strict amino acid preferences at extein junctions, enhancing sequence tolerance and reducing the risk of functional impairment in target proteins. Consensus design based on multiple sequence alignments has yielded ultra-fast splicing variants such as Cfa DnaE and Cat-TerL, which exhibit significantly accelerated kinetics and improved tolerance to denaturing conditions. Meanwhile, advances in structural biology have further clarified the conformational dynamics and catalytic mechanisms of splicing, supporting the precise design of high-performance intein modules. On this basis, electrostatic interaction tuning and metagenomic screening have yielded multiple mutually orthogonal split intein pairs, enabling selective multi-fragment protein ligation and providing new routes for the efficient synthesis of large multi-domain functional proteins. With these engineered split inteins offering continuously improved performance and expanded applicability, protein trans-splicing has been widely applied in numerous cutting-edge areas of protein research and biomedicine. In gene delivery, split intein-based systems overcome the packaging limit of adeno-associated viral vectors, enabling the accurate reconstitution of large therapeutic proteins and base editors in target cells, thereby enhancing the efficacy and scope of gene therapy for genetic diseases. In internal protein sequence editing, split inteins mediate precise sequence replacement and modification in flexible regions or loops of target proteins, without the need for complex multi-step ligation and protein refolding involved in traditional protein semisynthesis. In protein-protein interaction studies, intein-mediated splicing covalently captures transient and weak intracellular complexes, enabling sensitive, high-throughput interaction detection and drug screening. In synthetic biology, conditionally controllable splicing systems support the construction of diverse intracellular and cell-surface biological logic gates for the precise regulation of cellular behavior. In mechanistic biochemical research, split inteins enable photocatalytic proximity labeling and site-specific tagging, allowing the preparation of homogeneous protein samples carrying precise post-translational modifications such as ubiquitination and polyglutamylation for chromatin interactome analysis and epigenetic studies. Moreover, covalent trapping strategies using split inteins stabilize transient enzymatic intermediates, providing unprecedented insights into molecular mechanisms such as nucleosome ubiquitination that are difficult to elucidate using conventional methods. This review systematically summarizes key technological advances in split inteins over the past decade, highlighting engineering strategies, mechanistic insights, and the development of orthogonal components. It comprehensively surveys emerging applications at the frontiers of protein research, analyzes current core challenges, and proposes future directions, particularly emphasizing artificial intelligence-driven de novo design and novel splicing pathways to break existing technical bottlenecks. By enabling traceless, efficient, and versatile protein manipulation, split inteins continue to serve as indispensable tools that drive innovation in protein engineering and fundamental life science research.
8.Research progress of perfluorohexyloctane eyedrop in meibomian gland dysfunction-associated dry eye
Hongyue YU ; Bin SUN ; Yan LI ; Xiaodan LI ; Meng XIN
International Eye Science 2026;26(8):1354-1358
Dry eye disease(DED)is a multifactorial ocular surface disorder characterized by the loss of tear film homeostasis among which evaporative DED associated with meibomian gland dysfunction(MGD)accounts for up to 86%, and traditional drugs fail to effectively target the core pathological mechanism. As a new type of anhydrous and preservative-free eye drops approved by the FDA, perfluorohexyloctane has a unique amphiphilic structure, which can form an artificial lipid monolayer at the air-liquid interface of the tear film. It exerts its therapeutic effects by inhibiting tear evaporation, stabilizing the tear film, unclogging meibomian gland orifices, and promoting corneal oxygen supply. This drug can not only serve as a first-line treatment option for evaporative DED but also be combined with other drugs for personalized treatment. This review summarizes the mechanism of action, pharmacological properties, clinical efficacy, and safety of perfluorohexyloctane eye drops, and further elaborate on its application value in complex types of DED and patients with other concurrent ocular surface diseases, aiming to provide more evidence support for the precise treatment of DED.
9.Effects of intravenous and intraperitoneal routes on Babesia microti infections and splenic immune cells in BALB/c mice
Hanyin YANG ; Yuchun CAI ; Shuning YAN ; Yi XIN ; Ziran MO ; Bin XU ; Bin ZHENG
Chinese Journal of Schistosomiasis Control 2025;37(1):61-68
Objective To investigate the changes in the prevalence of Babesia microti infections, spleen morphology and proportions of splenic immune cells in BALB/c mice following intravenous and intraperitoneal injections, so as to provide insights into unraveling the immune regulatory mechanisms of Babesia infections. Methods Laboratory - maintained B. microti strains were prepared into whole blood samples with 10% prevalence of B. microti infection. A total of 75 BALB/c mice were randomly divided into three groups, including the normal control group, intravenous injection group, and intraperitoneal injection group, of 25 mice in each group. Mice in the intravenous and intraperitoneal injection groups were administered 100 μL of whole blood samples with 10% prevalence of B. microti infection, with the day of injection recorded as d0, and animals in the normal control group were given no treatments. Blood was sampled from mice in each group via the tail tip on d7, d14, d21, d28 and d35, and prepared into thin-film blood smears, and B. microti infection was observed in red blood cells. Five mice were randomly sampled from each group and sacrificed on d7, d14, d21, d28 and d35, and spleen was collected for measurement of spleen size and weight. In addition, splenic cells were isolated, and the proportions of CD3e+ T cells, CD45R+ B cells, CD49b+ nature killer (NK) cells, and F4/80+ macrophages were detected in CD45+ lymphocytes using flow cytometry. Results The prevalence of B. microti infection in the intravenous (22.80%) and intraperitoneal injection groups (44.82%) peaked on d7 (χ2 = 8.141, P < 0.01) and then rapidly decreased, and no parasites were observed on d35. The longest mouse spleen length [(32.91 ± 2.20) mm] and width [(9.82 ± 0.43) mm], and the greatest weight [(0.78 ± 0.10) g] were found on d14 in the intravenous injection group, and the longest spleen length [(32.42 ± 3.21) mm] and width [(10.25 ± 0.73) mm], and the greatest weight [(0.73 ± 0.09) g] were seen in the intra-peritoneal injection group on d21, d7 and d14, respectively. There were significant differences among the intravenous injection group, intraperitoneal injection group and the normal control group in terms of spleen length (F = 10.310, P < 0.05), width (F = 9.824, P < 0.05), and weight (F = 10.672, P < 0.05) on d21, and the mouse spleen length, width and weight were all significantly greater in the intraperitoneal injection group than in the intravenous injection group (allP values < 0.05). The proportions of splenic CD3e+ T cells [(60.60 ± 6.20)% and (39.68 ± 7.62)%], CD45R+ B cells [(43.32 ± 2.08)% and (49.53 ± 4.90)%], CD49b+ NK cells [(6.88 ± 1.34)% and (7.71 ± 1.59)%], and F4/80+ macrophages [(2.21 ± 0.29)% and (3.80 ± 0.35)%] peaked on d14, d21, d21 and d14 in the intravenous and intraperitoneal injection groups, respectively. There were significant differences in the proportions of CD3e+ T cells (F = 16.730, P < 0.05) and F4/80+ macrophages (F = 15.941, P < 0.05) among the intravenous injection group, intraperitoneal injection group and normal control group on d14, and a higher proportion of CD3e+ T cells and a lower proportion of F4/80+ macrophages were detected in the intravenous injection group than in the intraperitoneal injection group (both P values < 0.01). There were significant differences among the intravenous injection group, intraperitoneal injection group and normal control group on d21 in terms of proportions of splenic CD3e+ T cells (F = 9.252, P < 0.05), CD45R+ B cells (F = 14.349, P < 0.05), CD49b+ NK cells (F = 13.436,P < 0.05), and F4/80+ macrophages (F = 8.180, P < 0.05), and a higher proportion of CD3e+ T cells and lower proportions of CD45R+ B cells and F4/80+ macrophages were detected in the intravenous injection group than in the intraperitoneal injection group (all P values < 0.01). In addition, there was a significant difference in the proportion of CD3e+ T cells among the intravenous injection group, intraperitoneal injection group and normal control group on d28 (F = 9.772,P < 0.05), and a lower proportion of CD3e+ T cells was found in the intravenous injection group than in the intraperitoneal injection group (P < 0.01). Conclusions Both intraperitoneal and intravenous routes are effective to induce B. microti infections in BALB/c mice, and the prevalence of B. microti infections is higher in BALB/c mice through the intraperitoneal route than through the intravenous route. Intraperitoneal and intravenous injections with B. microti cause diverse spleen morphologies and proportions of splenic immune cells in mice, indicating routes of B. microti infections cause different impacts on immune response mechanisms in mice.
10.Setup Error and Its Influencing Factors in Radiotherapy for Spinal Metastasis
Wenhua QIN ; Xin FENG ; Zengzhou WANG ; Shangnan CHU ; Hong WANG ; Shiyu WU ; Cheng CHEN ; Fukui HUAN ; Bin LIANG ; Tao ZHANG
Cancer Research on Prevention and Treatment 2025;52(5):400-404
Objective To investigate the setup error in patients with spinal bone metastasis who underwent radiotherapy under the guidance of kilovoltage cone-beam CT (KV-CBCT). Methods A total of 118 patients with spinal metastasis who underwent radiotherapy, including 17 cases of cervical spine, 62 cases of thoracic spine, and 39 cases of lumbar spine, were collected. KV-CBCT scans were performed using the linear accelerators from Elekta and Varian’s EDGE system. CBCT images were registered with reference CT images in the bone window mode. A total of 973 data were collected, and 3D linear errors were recorded. Results The patients with spinal bone metastasis were grouped by site, height, weight, and BMI. The P value of the patients grouped only by site was P<0.05, which was statistically significant. Conclusion When grouped by site in the 3D direction, the positioning effect of cervical spine is better than that of thoracic and lumbar spine. The positioning effect of the thoracic spine is better in the head and foot direction but worse in the left and right direction compared with that of the lumbar spine. Instead of extending or narrowing the margin according to the BMI of patients with spinal metastasis, the margin must be changed according to the site of spinal bone metastasis.


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