Objective: To develop a convenient, direct, and highly sensitive method for screening trace chemical additives in complex Chinese patent medicines, thereby addressing core technological bottlenecks in pharmaceutical analysis and quality control. Methods: A brush ionization probe device was independently designed and constructed, and an efficient detection method was established through systematic optimization of key parameters. Twenty-three Chinese patent medicine samples, representing 6 dosage forms (capsules, tablets, pills, granules, powders, and liquid preparations), were analyzed using 10 common chemical additives as target analytes. Results: All samples were successfully analyzed without complex pretreatment, and 5 chemical additives were detected in 7 Chinese patent medicines. The brush ionization probe device exhibited cost-effectiveness (~0.2 USD per probe), operational simplicity, rapid analysis (~10s per sample), high efficiency, and minimal reagent consumption (~10 μL per sample). Conclusion: This advancement is expected to provide an innovative scientific tool for improving the generality and convenience of on-site quality control, while promoting technological progress in disciplines such as pharmacology and traditional Chinese medicine.

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.

Objective To analyze the law of acupoint selection and compatibility of acupuncture and moxibustion and the application law of acupuncture and moxibustion in the treatment of lactational mastitis using complex network technology.Methods The clinical research literature about acupuncture and moxibustion treatment of lactational mastitis was retrieved from CNKI,CBM,Wanfang Data,VIP and PubMed from the establishment of the databases to March 15,2025.The literature was screened according to the standards to build a prescription database of acupuncture and moxibustion treatment of lactational mastitis.SPSS Modeler 18.0 software was used to analyze association rules,and Gephi 0.9 software was used for complex network analysis.Results A total of 108 articles were included.141 acupuncture and moxibustion prescriptions were extracted,involving 74 acupoints,with a total use frequency of 677 times.The high-frequency acupoints were Jianjing,Danzhong,Rugen,Zusanli,Neiguan,etc.Specific acupoints were mainly composed of Wushu acupoints(169 times,21.10%);the acupoints were mainly distributed in the limbs(36);the most frequently used meridian was stomach meridian(168 times,24.82%).The combination of acupoints with the highest correlation was Jianjing-Neiguan-Rugen.Complex network analysis identified 22 core acupoints,with the most commonly used acupuncture method being filiform needle acupuncture(79 times).Conclusion Acupuncture and moxibustion treatment of lactational mastitis pays special attention to the selection of stomach meridian.The compatibility mode is mainly from top to bottom,and the corresponding acupoints are selected according to syndrome differentiation.

Accurate characterization of the chemical composition of complex traditional Chinese medicine(TCM)is an essential foundation for the modern scientific interpretation of TCM principles.Mass spectrometry is the most dominant technique in current research on the material basis of TCM,offering the highest sensitivity and the richest information provision.Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components.This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure,PubMed,and Web of Science,using"mass spectrometry database"and"traditional Chinese medicine"as keywords.It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases.The key advancements of these mass spectrometry databases for natural products are summarized,detailing their characteristics,search methodologies,included information,and data sources.Additionally,challenges related to data quality,standardization,timely updates,database interaction,retrieval functionality,and data sharing and security are discussed in depth.Furthermore,the paper explores prospective development directions for TCM mass spectrometry databases,emphasizing the importance of open data sharing,technological innovation,and data security.Through this analysis,the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components,as well as for the construction and application of these databases.

[Purpose]To analyze the incidence and mortality of thyroid cancer in Zhejiang cancer registration areas in 2021 and trends from 2000 to 2021.[Methods]Based on cancer data from 22 registries across Zhejiang Province between 2000 and 2021,the crude incidence/mortality rates,age-standardized incidence/mortality rates of thyroid cancer by Chinese and world standard population(ASIRC/ASMRC,ASIRW/ASMRW),cumulative rate(0～74 years old)and truncated rate(35～64 years old)were analyzed.Joinpoint regression model was employed to calculate the annual percentage change(APC)and average annual percentage change(AAPC)with 95％confidence in-terval(CI)for analyzing trends of thyroid cancer incidence and mortality rates from 2000 to 2021.[Results]The crude incidence rate of thyroid cancer increased from 3.62/105 in 2000 to 79.66/105 in 2021,and ASIRC rose from 3.11/105 to 69.49/105(AAPC=15.55％,95％CI:14.65％～16.61％).The AAPC for ASIRC was slightly higher in female(15.54％,95％CI:14.71％～16.49％)than that in male(15.02％,95％CI:13.53％～16.82％).The increase was significantly more pronounced in rural areas(AAPC=23.34％,95％CI:21.48％～25.33％)compared to urban areas(AAPC=14.12％,95％CI:13.15％～15.43％).Among age groups,the age group of 15～44 years old showed the fastest increase in crude incidence rate(AAPC=20.37％,95％CI:18.46％～22.31％),followed by the age group of 45～64 years old(AAPC=18.41％,95％CI:16.65％～20.19％).Between 2000 and 2021,the crude mortality rate of thyroid cancer rose from 0.34/105 to 0.56/105(AAPC=5.52％,95％CI:3.45％～7.70％),the trend of ASMRC was relatively stable.[Conclusion]From 2000 to 2021,the incidence of thyroid cancer in Zhejiang Province increased markedly,especially among females and younger to middle-aged adults,while the age-standardized mortality rate remained stable.

Objective:To evaluate the mediating effect of electrocardiographic (ECG) indicators in the association between short-term exposure to fine particulate matter (PM 2.5) and blood pressure and to explore the key PM 2.5 element constituents that produce the mediating effect. Methods:Based on a cross-sectional survey across 10 cities in the Beijing-Tianjin-Hebei region and surrounding areas, PM 2.5 and its element constituents were collected from the nearest air monitoring superstation. Blood pressure and ECG indicators of participants were obtained through physical examinations. A multivariate linear regression was used to evaluate the effect of short-term exposures to PM 2.5 on blood pressure. A mediation analysis was used to identify the mediating effect of ECG indicators in the association between exposure to PM 2.5 and its element constituents and blood pressure. Results:The age of the 1 793 participants was (65.1±13.3) years, and 885 (49.4%) were males. During the study period, the daily mean concentration of PM 2.5 was (70±45) μg/m 3, and the systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP) and pulse pressure (PP) were (139±20), (82±11), (101±13), and (57±17) mmHg (1 mmHg=0.133 kPa), respectively. The results of the multivariate linear regression showed that for every 10 μg/m 3 increase in PM 2.5 on the same day (lag 0), DBP increased by 0.15 (95% CI: 0.02-0.28) mmHg, and PP decreased 0.18 (95% CI: 0.36-0.01) mmHg. The exposure to 14 elemental constituents, such as Ga, Co and Se, was associated with an increase in DBP, while the exposure to 17 elemental constituents, such as Cs, Se and Ag, was associated with a decrease in PP. At lag 0, the PM 2.5-induced increase in DBP was mediated by the QRS interval (mediation percentage of 18.98%), and the PM 2.5-induced decrease in PP was mediated by the QT interval (mediation percentage of -6.31%). The exposure to K, Br, Pb, Zn, Ca, Co, Pd, Cu, and As constituents was associated with increases in DBP mediated by prolonged QRS interval. The exposure to Pb, Zn, K, and As constituents was associated with decreases in PP mediated by prolonged QRS interval. Conclusion:ECG indicators such as QRS interval may mediate the association between short-term exposure to PM 2.5 and its element constituents and blood pressure.

Objective:To assess the effect of short-term exposures to atmospheric fine particulate matter (PM 2.5) and its components on cognitive function in middle-aged and older people aged 40-89 and identify key components that affect cognitive function. Methods:From October 2018 to March 2019, a cross-sectional survey of middle-aged and older people aged 40-89 was conducted across 10 cities in Beijing-Tianjin-Hebei and neighboring regions of China. Data on PM 2.5 and its components were collected from the nearest air supermonitoring stations to the residential addresses. The cognitive function was assessed using the Min-Mental State Examination (MMSE) scale. Multiple linear regression models were used to assess the effect of short-term exposures to PM 2.5 and its components on cognitive function in middle-aged and older people. The restricted cubic spline function was used to fit the exposure-response relationship between different components and changes in MMSE scores. Results:The age of the 1 978 respondents was (65.1±13.4) years, and 976 (49.34%) were males. During the study period, the daily mean concentration of PM 2.5 was (71.2±43.2) μg/m 3, and the MMSE score was (28.2±3.7). The results of the multiple linear regression model showed that short-term exposures to PM 2.5 and its components were associated with cognitive decline in middle-aged and older people after adjusting for confounding factors, and the effect was higher at lag 0-28 days. For an interquartile range (64.3 μg/m 3) increase in PM 2.5 at lag 0-28 d, the MMSE score decreased by 5.91 (95% CI: 0.04, 11.77). For an interquartile range increase in organic carbon (OC), antimony (Sb), chromium (Cr), zinc (Zn), tin (Sn), and cadmium (Cd), the MMSE scores of middle-aged and older people decreased by 5.71 (95% CI: 1.69, 9.73), 4.67 (95% CI: 2.50, 6.84), 4.49 (95% CI: 1.05, 7.92), 3.65 (95% CI: 0.89, 6.42), 2.76 (95% CI: 1.22, 4.30), and 1.72 (95% CI: 0.53, 2.92). Conclusions:Short-term exposures to atmospheric PM 2.5 and its components (OC, Sb, Cr, Zn, Sn, and Cd) are associated with cognitive decline in middle-aged and older people.

Objective To analyze the law of acupoint selection and compatibility of acupuncture and moxibustion and the application law of acupuncture and moxibustion in the treatment of lactational mastitis using complex network technology.Methods The clinical research literature about acupuncture and moxibustion treatment of lactational mastitis was retrieved from CNKI,CBM,Wanfang Data,VIP and PubMed from the establishment of the databases to March 15,2025.The literature was screened according to the standards to build a prescription database of acupuncture and moxibustion treatment of lactational mastitis.SPSS Modeler 18.0 software was used to analyze association rules,and Gephi 0.9 software was used for complex network analysis.Results A total of 108 articles were included.141 acupuncture and moxibustion prescriptions were extracted,involving 74 acupoints,with a total use frequency of 677 times.The high-frequency acupoints were Jianjing,Danzhong,Rugen,Zusanli,Neiguan,etc.Specific acupoints were mainly composed of Wushu acupoints(169 times,21.10%);the acupoints were mainly distributed in the limbs(36);the most frequently used meridian was stomach meridian(168 times,24.82%).The combination of acupoints with the highest correlation was Jianjing-Neiguan-Rugen.Complex network analysis identified 22 core acupoints,with the most commonly used acupuncture method being filiform needle acupuncture(79 times).Conclusion Acupuncture and moxibustion treatment of lactational mastitis pays special attention to the selection of stomach meridian.The compatibility mode is mainly from top to bottom,and the corresponding acupoints are selected according to syndrome differentiation.

Accurate characterization of the chemical composition of complex traditional Chinese medicine(TCM)is an essential foundation for the modern scientific interpretation of TCM principles.Mass spectrometry is the most dominant technique in current research on the material basis of TCM,offering the highest sensitivity and the richest information provision.Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components.This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure,PubMed,and Web of Science,using"mass spectrometry database"and"traditional Chinese medicine"as keywords.It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases.The key advancements of these mass spectrometry databases for natural products are summarized,detailing their characteristics,search methodologies,included information,and data sources.Additionally,challenges related to data quality,standardization,timely updates,database interaction,retrieval functionality,and data sharing and security are discussed in depth.Furthermore,the paper explores prospective development directions for TCM mass spectrometry databases,emphasizing the importance of open data sharing,technological innovation,and data security.Through this analysis,the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components,as well as for the construction and application of these databases.

[Purpose]To analyze the incidence and mortality of thyroid cancer in Zhejiang cancer registration areas in 2021 and trends from 2000 to 2021.[Methods]Based on cancer data from 22 registries across Zhejiang Province between 2000 and 2021,the crude incidence/mortality rates,age-standardized incidence/mortality rates of thyroid cancer by Chinese and world standard population(ASIRC/ASMRC,ASIRW/ASMRW),cumulative rate(0～74 years old)and truncated rate(35～64 years old)were analyzed.Joinpoint regression model was employed to calculate the annual percentage change(APC)and average annual percentage change(AAPC)with 95％confidence in-terval(CI)for analyzing trends of thyroid cancer incidence and mortality rates from 2000 to 2021.[Results]The crude incidence rate of thyroid cancer increased from 3.62/105 in 2000 to 79.66/105 in 2021,and ASIRC rose from 3.11/105 to 69.49/105(AAPC=15.55％,95％CI:14.65％～16.61％).The AAPC for ASIRC was slightly higher in female(15.54％,95％CI:14.71％～16.49％)than that in male(15.02％,95％CI:13.53％～16.82％).The increase was significantly more pronounced in rural areas(AAPC=23.34％,95％CI:21.48％～25.33％)compared to urban areas(AAPC=14.12％,95％CI:13.15％～15.43％).Among age groups,the age group of 15～44 years old showed the fastest increase in crude incidence rate(AAPC=20.37％,95％CI:18.46％～22.31％),followed by the age group of 45～64 years old(AAPC=18.41％,95％CI:16.65％～20.19％).Between 2000 and 2021,the crude mortality rate of thyroid cancer rose from 0.34/105 to 0.56/105(AAPC=5.52％,95％CI:3.45％～7.70％),the trend of ASMRC was relatively stable.[Conclusion]From 2000 to 2021,the incidence of thyroid cancer in Zhejiang Province increased markedly,especially among females and younger to middle-aged adults,while the age-standardized mortality rate remained stable.