Objective: To analyze the epidemiological characteristics and influencing factors of severe fever with thrombocytopenia syndrome (SFTS) in Zhejiang Province from 2019 to 2023, so as to provide the reference for strengthening SFTS prevention and control. Methods: Data on laboratory-confirmed SFTS cases in Zhejiang Province from 2019 to 2023 were collected through the Infectious Disease Reporting Information System of Chinese Disease Prevention and Control Information System. Meteorological data, geographic environment and socioeconomic factors during the same period were collected from the fifth-generation European Centre for Medium-Range Weather Forecasts, Geospatial Data Cloud, and Zhejiang Statistical Yearbook, respectively. Descriptive epidemiological methods were used to analyze the epidemiological characteristics of SFTS from 2019 to 2023, and a Bayesian spatio-temporal model was constructed to analyze the influencing factors of SFTS incidence. Results: A total of 578 SFTS cases were reported in Zhejiang Province from 2019 to 2023, with an annual average incidence of 0.23/105. The peak period was from May to July, accounting for 52.60%. There were 309 males and 269 females, with a male-to-female ratio of 1.15∶1. The cases were mainly aged 50-<80 years, farmers, and in rural areas, accounting for 82.53%, 77.34%, and 75.43%, respectively. Taizhou City and Shaoxing City reported more SFTS cases, while Shaoxing City and Zhoushan City had higher annual average incidences of SFTS. The Bayesian spatio-temporal interaction model showed good goodness of fit. The results showed that mean temperature (RR=1.626, 95%CI: 1.111-2.378) and mean wind speed (RR=1.814, 95%CI: 1.321-2.492) were positively correlated with SFTS risk, while altitude (RR=0.432, 95%CI: 0.230-0.829) and population density (RR=0.443, 95%CI: 0.207-0.964) were negatively correlated with SFTS risk. Conclusions SFTS in Zhejiang Province peaks from May to July. Middle-aged and elderly people and farmers are high-risk populations. Taizhou City, Shaoxing City, and Zhoushan City are high-incidence areas. Mean temperature, mean wind speed, altitude, and population density can all affect the risk of SFTS incidence.

Aromatic inhalation therapy is a key traditional Chinese medicine （TCM） approach for preventing respiratory infectious diseases. Its foundational theory， "aromatics acting on the spleen"， is deeply rooted in TCM principles and supported by modern medical research. The theory posits that the aromatic properties of medicinals primarily act on the spleen， and the aromatic inhalation therapy achieved its protective effects by modulation of the spleen and spleen channel to enhance the regulation of wei qi， striae and interstices. In TCM， the spleen is considered the mother of the lungs， with the function of nurturing lung； it is also seen as the source of wei qi， responsible for external defense； and the root of healthy qi， forming the foundation of acquired （postnatal） constitution. Thus， preventive strategies for respiratory infectious diseases focus on strengthening the spleen. From a modern medical perspective， the spleen's role in regulating lung immune responses， the shared immune functions of the respiratory and gastrointestinal mucosa， and the spleen's overall immune modulation provide scientific evidence for using aromatic inhalation therapy to prevent respiratory infections. Additionally， aromatic inhalation therapy offers several advantages， including direct action， rapid onset， minimal side effects， controllable risks， convenience， and ease of dissemination， making it a practical and effective preventive measure for respiratory infectious diseases.

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.

Collagen is a major structural protein in the matrix of animal cells and the most widely distributed and abundant functional protein in mammals. Collagen’s good biocompatibility, biodegradability and biological activity make it a very valuable biomaterial. According to the source of collagen, it can be broadly categorized into two types: one is animal collagen; the other is recombinant collagen. Animal collagen is mainly extracted and purified from animal connective tissues by chemical methods, such as acid, alkali and enzyme methods, etc. Recombinant collagen refers to collagen produced by gene splicing technology, where the amino acid sequence is first designed and improved according to one’s own needs, and the gene sequence of improved recombinant collagen is highly consistent with that of human beings, and then the designed gene sequence is cloned into the appropriate vector, and then transferred to the appropriate expression vector. The designed gene sequence is cloned into a suitable vector, and then transferred to a suitable expression system for full expression, and finally the target protein is obtained by extraction and purification technology. Recombinant collagen has excellent histocompatibility and water solubility, can be directly absorbed by the human body and participate in the construction of collagen, remodeling of the extracellular matrix, cell growth, wound healing and site filling, etc., which has demonstrated significant effects, and has become the focus of the development of modern biomedical materials. This paper firstly elaborates the structure, type, and tissue distribution of human collagen, as well as the associated genetic diseases of different types of collagen, then introduces the specific process of producing animal source collagen and recombinant collagen, explains the advantages of recombinant collagen production method, and then introduces the various systems of expressing recombinant collagen, as well as their advantages and disadvantages, and finally briefly introduces the application of animal collagen, focusing on the use of animal collagen in the development of biopharmaceutical materials. In terms of application, it focuses on the use of animal disease models exploring the application effects of recombinant collagen in wound hemostasis, wound repair, corneal therapy, female pelvic floor dysfunction (FPFD), vaginal atrophy (VA) and vaginal dryness, thin endometritis (TE), chronic endometritis (CE), bone tissue regeneration in vivo, cardiovascular diseases, breast cancer (BC) and anti-aging. The mechanism of action of recombinant collagen in the treatment of FPFD and CE was introduced, and the clinical application and curative effect of recombinant collagen in skin burn, skin wound, dermatitis, acne and menopausal urogenital syndrome (GSM) were summarized. From the exploratory studies and clinical applications, it is evident that recombinant collagen has demonstrated surprising effects in the treatment of all types of diseases, such as reducing inflammation, promoting cell proliferation, migration and adhesion, increasing collagen deposition, and remodeling the extracellular matrix. At the end of the review, the challenges faced by recombinant collagen are summarized: to develop new recombinant collagen types and dosage forms, to explore the mechanism of action of recombinant collagen, and to provide an outlook for the future development and application of recombinant collagen.

Prescription optimization is a crucial aspect in the study of traditional Chinese medicine （TCM） compounds. In recent years， the introduction of mathematical methods， data mining techniques， and artificial neural networks has provided new tools for elucidating the compatibility rules of TCM compounds. The study of TCM compounds involves numerous variables， including the proportions of different herbs， the specific extraction parts of each ingredient， and the interactions among multiple components. These factors together create a complex nonlinear dose-effect relationship. In this context， it is essential to identify methods that suit the characteristics of TCM compounds and can leverage their advantages for effective application in new drug development. This paper provided a comprehensive review of the cutting-edge optimization experimental design methods applied in recent studies of TCM compound compatibilities. The key technical issues， such as the optimization of source material selection， dosage optimization of compatible herbs， and multi-objective optimization indicators， were discussed. Furthermore， the evaluation methods for component effects were summarized during the optimization process， so as to provide scientific and practical foundations for innovative research in TCM and the development of new drugs based on TCM compounds.

Ovarian cancer （OC） is one of the most common malignant tumors in women， with the mortality rate being the highest among gynaecological malignant tumors. As the atypical symptoms of OC are difficult to be detected in the early stage， most patients are already in the advanced stage when being diagnosed. As a result， the clinical treatment has limited effects. Currently， the main therapies for OC are surgery and chemotherapy， while their drug resistance and adverse reactions seriously reduce the quality of life of patients. In recent years， traditional Chinese medicine （TCM） has attracted the attention of clinicians and researchers because of its high efficacy， low toxicity， and mild side effects. According to the TCM philosophy of treatment based on syndrome differentiation， the Chinese medicines with multiple targets， wide range， and mild side effects can be screened based on the molecular targets involved in the occurrence and development of OC， which can bring out the unique advantages of TCM in the treatment of OC. Modern studies have shown that the occurrence and development of OC are closely related to the abnormal expression of multiple signaling pathways. The continued abnormal activation of the signal transducer and activator of transcription 3 （STAT3） signaling pathway can lead to abnormal proliferation and malignancy of OC. cause abnormal proliferation and malignant transformation of OC， which is closely related to the development of OC. In addition， studies have shown that Chinese medicine can inhibit the proliferation， angiogenesis， invasion， and metastasis and promote the autophagy and apoptosis of OC cells by regulating the Janus kinase 2 （JAK2）/STAT3 signaling pathway， providing new therapeutic strategies and ideas for the prevention and treatment of OC. This paper summarizes the role of JAK2/STAT3 signaling pathway in OC development by reviewing the relevant articles and reviews the mechanism and research progress of active components and compound prescriptions of Chinese medicine intervening in OC development by regulating the JAK2/STAT3 signaling pathway. This review is expected to provide a systematic reference for clinical research and drug development of OC.

ObjectiveTo investigate the effect of icariin （ICA） on steroid-induced ferroptosis in bone microvascular endothelial cells （BMECs）. MethodsRat BMECs were selected and treated with 500 mg·L^-1 hydrocortisone for 1.5 h to establish a ferroptosis model of BMECs. The experimental cells were divided into a blank group， hormone group （500 mg·L^-1 hydrocortisone）， ICA group （500 mg·L^-1 hydrocortisone + 34 mg·L^-1 ICA）， and ferroptosis agonist group （500 mg·L^-1 hydrocortisone + 34 mg·L^-1 ICA + 2.7 mg·L^-1 erastin）. Cell viability was detected by CCK-8. The levels of ferrous ion， glutathione （GSH）， malondialdehyde （MDA）， superoxide dismutase （SOD）， and reactive oxygen species （ROS） were detected by related kit species. The ferroptosis-related proteins， such as glutathione peroxidase 4（GPX4）， ferritin light chain （FTL）， and transferrin receptor protein1 （sTfR） were detected by Western blot， as well as autophagy-related proteins including microtubule-associated protein 1 light chain 3B （LC3B）， Beclin1， B-cell lymphoma-2 （Bcl-2）， and Caspase-3. Results500 mg·L^-1 hydrocortisone intervention for 1.5 h could effectively induce ferroptosis in BMECs， and ferroptosis levels could reach a peak as the intervention continued. In terms of cellular antioxidant capacity， compared with those in the blank group， the cell vitality， GSH in the hormone group decreased significantly， and the levels of ROS， SOD， MDA， and ferrous ions were significantly increased （P<0.01）. Compared with those in the hormone group， the cell viability， GSH were significantly increased， and the levels of ROS， SOD， MDA， and ferrous ions were decreased in the ICA group （P<0.01）. Compared with those in the ICA group， the cell vitality， GSH in the ferroptosis agonist group decreased significantly， and the levels of ROS， SOD， MDA， and ferrous ions increased significantly （P<0.01）. In terms of the relationship between ferroptosis and autophagy， compared with the blank group， the hormone group had significantly increased expression levels of LC3B， sTfR， Beclin1， and FTL and significantly decreased expression levels of GPX4 （P<0.01）. Compared with the hormone group， The ICA group had significantly decreased expression levels of LC3B， sTfR， and FTL and significantly increased expression levels of Beclin 1 and GPX4 （P<0.01）. Compared with those in the ICA group， the expression levels of LC3B， sTfR， and FTL increased in the rapamycin group， and those of Beclin 1 and GPX4 decreased （P<0.01）. In terms of cell ferroptosis and apoptosis，compared with the blank group， the hormone group had significantly increased expression levels of FTL， sTfR and Caspase-3 and significantly decreased expression levels of GPX4， and Bcl-2 （P<0.01）. Compared with the hormone group， the ICA group had significantly decreased expression levels of FTL， sTfR and Caspase-3 and significantly increased expression levels of GPX4， and Bcl-2 （P<0.01）. Compared with those in the ICA group， the expression levels of FTL， sTfR and Caspase-3 in the ferroptosis agonist group were increased， and the expression levels of GPX4， and Bcl-2 were decreased （P<0.01）. In terms of cell function，compared with that in the blank group， the ability of cell migration and tube formation was significantly decreased in the hormone group （P<0.01）. Compared with that in the hormone group， the cell migration and tube formation ability in the ICA group were significantly increased （P<0.01）. ConclusionFerroptosis is involved in steroid-induced damage in BMECs. ICA can inhibit steroid-induced ferroptosis in BMECs， and the mechanism may be associated with the inhibition of ferroptosis by regulating autophagy.

ObjectiveIn order to provide a reference for the optimization of preparation process of stir-fried Glycyrrhizae Radix et Rhizoma（sf-GRR）， the quality changes during the processing was studied. MethodsGlycyrrhizae Radix et Rhizoma was processed by stir-frying for 17 min， and samples were collected every 1 min during the processing. The appearance color of the samples was determined by visual analysis technology， the moisture and extract of the process samples were detected by the drying method and the hot extraction method of alcohol-soluble extract in the general rules of the 2020 edition of Chinese Pharmacopoeia（part Ⅳ）， and the contents of liquiritin apioside， liquiritin， isoliquiritin apioside， isoliquiritin， licoricesaponin G₂ and glycyrrhizic acid in the process samples were determined by high performance liquid chromatography（HPLC）. Then principal component analysis（PCA）， partial least squares-discriminant analysis（PLS-DA） and Spearman correlation analysis were used for clustering， discrimination and correlation analysis of the appearance color， moisture， extract and the contents of six internal components. Based on artificial neural network and random forest algorithm， the prediction model of processing degree of sf-GRR was established. On this basis， based on the five principles of quality marker（Q-Maker）， explore the monitoring Q-Maker of sf-GRR. ResultsThe color of Glycyrrhizae Radix et Rhizoma deepened after stir-frying， and the appearance color of the sample changed from light yellow to dark yellow during processing. During the stir-frying process， the moisture content showed a decreasing trend with the extension of processing time， while the extract content showed an increasing trend with the extension of processing time. After stir-frying， the contents of liquiritin apioside， liquiritin and licoricesaponin G₂ showed an overall decreasing trend， while the contents of isoliquiritin apioside and isoliquiritin increased， and the content of glycyrrhizic acid increased slightly. The correlation analysis showed that moisture was positively correlated with brightness（L^*） and red/green value（a^*）， and negatively correlated with yellow/blue value（b^*） and total color difference（E^*ab）. Isoliquiritin apioside and isoliquiritin had negative correlation with L^* and a^*， and positive correlation with b^* and E^*ab. The processing process of sf-GRR could be divided into two stages of the early stage（0-14 min） and the late stage（15-17 min）， and could be divided into three stages of the early stage（0-6 min）， the middle stage（7-14 min） and the late stage（15-17 min） by combining the moisture， extract， the contents of 6 components and color values. Based on artificial neural network analysis and random forest algorithm， isoliquiritin apioside， isoliquiritin， liquiritin and glycyrrhizic acid were selected as monitoring markers for sf-GRR. ConclusionBased on the analysis of the exterior-interior indicators of process samples of sf-GRR， this paper ultimately identifies four processing monitoring markers， which can provide a basis for optimizing the processing technology of sf-GRR.

Aromatic Chinese medicinal essential oils are volatile oils extracted from aromatic Chinese herbs， which can prevent and treat respiratory infectious diseases through multiple synergistic mechanisms including pathogen inhibition， immune regulation， and inflammatory response regulation. Essential oils are primarily used externally on the body to prevent infections and alleviate symptoms through methods like inhalation， smearing， topical application， bathing， gargling or as a suppository. They can also be utilized in the environment for disinfection and air purification， through methods like diffusion， vaporization， or spraying. The external application of essential oils extracted from Chinese aromatic herbs has the advantages of convenience， quick absorption， and simultaneous influence on both the body and mind. However， there are still challenges and deficiencies in aspects such as the positioning of functions， indications， safety， and the research on the mechanism of action. It has been proposed to combine the theory of aromatic Chinese medicinals with the characteristics of essential oils， and formulate prescriptions of Chinese medicinal essential oils under the principles of traditional Chinese medicine syndrome differentiation， and prevent and treat respiratory infectious diseases efficiently， accurately， and safely， thereby expanding the clinical application of aromatic Chinese medicinals and the preventive theory of traditional Chinese medicine.

BACKGROUND:Extracellular vesicles are secreted into the extracellular milieu by a wide range of cell types,including tumor cells,under different physiological and pathophysiological conditions,where a wide range of biological signals and cell-to-cell signaling exists.Tumor-derived extracellular vesicles may exacerbate cancer progression,survival,invasion,and promote angiogenesis. OBJECTIVE:To review the research progress of extracellular vesicles in the diagnosis and treatment of oral squamous cell carcinoma. METHODS:Literature search was performed by the first author in PubMed,WanFang,CNKI and other databases with the keywords"EVs,oral squamous cell carcinoma,diagnosis and treatment,biopsy,tissue engineering"in Chinese and English.Finally,63 articles were included for analysis. RESULTS AND CONCLUSION:(1)In oral squamous carcinoma saliva biopsies,extracellular vesicles play a crucial role in the progression of oral squamous cell carcinoma by acting as an information transfer tool between tumor cells and the surrounding microenvironment,carrying a wide range of biomolecules including soluble proteins,lipids,DNA,and RNA.These tiny vesicles not only play a key role in tumor growth and spread,but also provide important information about the biological properties of the tumor.(2)Saliva biopsy,as a non-invasive diagnostic method,can open up new possibilities for early diagnosis and targeted treatment of oral squamous cell carcinoma by analyzing the extracellular vesicles therein.(3)It has been found that bioactive molecules,such as microRNAs(miRNAs)and specific proteins,contained within extracellular vesicles can serve as biomarkers for oral squamous carcinoma and improve the accuracy of early diagnosis.Specific proteins in extracellular vesicles such as EHD2,CAVIN1,PF4V1,and CXCL7 show potential as novel predictive biomarkers.(4)In addition,this paper highlights the potential application of extracellular vesicles in the treatment of oral squamous carcinoma.Through engineering modifications,extracellular vesicles can serve as a new generation of nanoscale drug delivery systems to enhance the efficiency and specificity of targeted tumor therapy.(5)Future studies will further explore the effect and mechanism of extracellular vesicles in oral squamous cell carcinoma,which is expected to improve patients'survival and quality of life.