1.Research progress of nano drug delivery system based on metal-polyphenol network for the diagnosis and treatment of inflammatory diseases
Meng-jie ZHAO ; Xia-li ZHU ; Yi-jing LI ; Zi-ang WANG ; Yun-long ZHAO ; Gao-jian WEI ; Yu CHEN ; Sheng-nan HUANG
Acta Pharmaceutica Sinica 2025;60(2):323-336
Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.
2.Current Research Status of Digital Technology in the Rehabilitation of Rare Neurological and Muscular Diseases
Yixuan GUO ; Yi GAO ; Yiyang YAO ; Zhuoyue QIN ; Yaofang ZHANG ; Jiaqi JING ; Jing XIE ; Jian GUO ; Shuyang ZHANG
JOURNAL OF RARE DISEASES 2025;4(1):122-131
To review the randomized controlled trials (RCTs) at home and abroad on digital intelligence (DI)-driven rehabilitation in patients of neuromuscular disease, compare the effects of DI-driven rehabilitation with traditional rehabilitation, summarize the special needs and challenges faced by patients in rehabilitation of rare neuromuscular diseases, and provide evidence for the development and quality improvement of rehabilitation for rare neuromuscular diseases. We searched PubMed, Web of Science, Embase, CNKI, VIP, and Wanfang databases for literature on neuromuscular diseases, rare diseases, digital and intelligent technologies, and rehabilitation published from the inception of the databases to June 2024. Basic and research-related information from the retrieved literature was extracted and analyzed. A total of 43 RCTs in English from 14 countries were included. The most studied diseases were Parkinson′s disease and multiple sclerosis. The application of DI-driven technologies in rehabilitation of rare neuromuscular diseases was still limited. The commonly used technologies were virtual reality (VR) games, intelligent treadmill assistance, gait training robots, hybrid assistive limb (HAL), wearable sensors and tele-rehabilitation (TR) systems. These technologies were applied in patients′ homes or rehabilitation service centers. The VR games significantly improved both static/dynamic balance functions and cognitive functions. The intelligent treadmill assistance significantly enhanced gait speed and stride length. The gait training robots significantly improved balance, gait speed and stride length of patients. The wearable exoskeletons significantly enhanced walking ability. DI-driven rehabilitation measures have great value and potential in the field of neuromuscular disease rehabilitation. Their advantages and characteristics can meet the diverse needs of rare disease patients. In the future, a hierarchical and collaborative rehabilitation service system should be established to meet the urgent needs of the rehabilitation of rare neuromuscular diseases. Combining the advantages of digitization and intelligence will provide standardized, scientific, convenient and affordable rehabilitation services to patients.
3.The Application of Digital Intelligence Technology in the Management of Non-Hospitalized Patients with Rare Diseases
Yiyang YAO ; Yi GAO ; Yixuan GUO ; Zhuoyue QIN ; Yaofang ZHANG ; Jiaqi JING ; Jing XIE ; Jian GUO ; Shuyang ZHANG
JOURNAL OF RARE DISEASES 2025;4(1):46-53
To provide references to and give suggestions to the development and optimiza-tion of Digital Intelligence (DI) technology in management of non-hospitalized patients by systematical review the application of digital technology in non-hospital settings. We designed the search strategy and used the words " rare diseases"" patient management"" non-hospitalized management"" community management"" digital intelligence"" big data"" telemedicine" as MESH terms or free words. We searched the database of PubMed, Science-Direct, Web of Science, CNKI, Wanfang and VIP from the beginning of the database to July 2024 and used computer retrieval to get the literatures on the application of DI technology in the management of patients with rare diseases in non-hospital setting. We extracted the information of the first author, country or region, publication time, research participants, DI technology application, and application effect for summary analysis. A total of 13 articles were included in this study, which were from 8 countries or regions. We found that DI technologies used were in the following forms: Internet information platform, wearable devices, telemedicine management platform and electronic database. The DI technology was used by the patients with rare diseases, patient caregivers and professional medical staffs. The application of all the forms above in different populations had good effect. The Internet information platform helped patients and their caregivers learn more about the disease and improved their self-management ability. The wearable device helped monitor the health status of patients in real time and predict the risk of emergent events. The telemedicine management platform facilitated to optimize the allocation of medical resources and strengthen doctor-patient communication. The electronic health database promoted the interconnection of data inside and outside the hospital and improved the accuracy of decision-making through data sharing. The application of DI technology in the management of patients with rare diseases in non-hospitalized settings has shown positive results. In the future, it is necessary to correct the shortcomings and to deal with the challenges in terms of accuracy, readiness, applicability, and privacy protection. Besides, the DI can be integrated into the tri-level management system of patients known as the "patient-community-hospital". It is advisable to take the advantages of digital intelligence technology to improve the efficiency and quality of management of patients in non-hospitalized settings.
4.Seasonal distribution characteristics, source analysis and health risk assessment of polycyclic aromatic hydrocarbons in PM2.5 in Lianyungang City in 2019-2023
Shengnan GAO ; Jinkun LI ; Li CHEN ; Zhengdong XYU ; Hongru ZHU ; Jian WANG ; Zhiyang YAO
Journal of Public Health and Preventive Medicine 2025;36(1):65-69
Objective To study the seasonal distribution characteristics of polycyclic aromatic hydrocarbons (PAHs) in PM2.5 in Lianyungang City, and analyze the sources of PAHs pollution, and to evaluate the health risks of PAHs in different seasons. Methods PM2.5 samples were collected regularly from January 2019 to December 2023, and 16 types of PAHs were determined by HPLC. Kruskal-Wallis H test was used to compare the concentrations of PM2.5 and PAHs in different years and seasons. The source of PAHs was analyzed by characteristic ratio and principal component analysis (PCA). Health risks were assessed using the BaP equivalent method and the incremental lifetime cancer risk (ILCR) model. Results The annual exceedance rates of PM2.5 and BaP in Lianyungang showed a decreasing trend from 2019 to 2023. PM2.5, total PAHs and PAHs monomers (except Ace, Flu and Acy) all showed significant seasonal differences, with the highest concentration in winter (P<0.001). The average proportion of 4-ring PAHs was the highest and the average proportion of 2-ring PAHs was the lowest. The proportion of 5-6 ring PAHs was relatively high in winter and spring. PM2.5and PAHs were negatively correlated with temperature, relative humidity and precipitation, and were positively correlated with atmospheric pressure. PM2.5 was negatively correlated with wind speed, while some PAHs monomers were positively correlated with wind speed. The characteristic ratio and PCA results showed that the main sources of PAHs in Lianyungang City were mixed sources of road dust and vehicle emissions, oil pollution sources and biomass combustion sources. The results of ILCR showed that the highest risk was found in adults, with males slightly higher than females. In Lianyungang, the maximum value of ILCR in winter was more than 10-6 in people over 9 years old. Conclusion The main sources of PAHs in PM2.5 in Lianyungang City are mixed sources of road dust and vehicle emissions, oil pollution sources, and biomass combustion sources. Under the current exposure level of PAHs in PM2.5, residents have a certain potential carcinogenic risk.
5.Herbal Textual Research on Spatholobi Caulis in Famous Classical Formulas
Yajie XIANG ; Yangyang LIU ; Jian FENG ; Chun YAO ; Erwei HAO ; Wenlan LI ; Zhilai ZHAN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(6):238-248
Through consulting herbal medicine, medical books, and local chronicles from past dynasties to modern times, this paper systematically researched Spatholobi Caulis from name, origin, producing areas, harvesting, processing, usage, quality evaluation, functions and indications, providing a reference for the development and utilization of famous classical formulas containing Spatholobi Caulis. According to the research, Spatholobi Caulis was first recorded in the Annals of Shunning Prefecture from the Qing dynasty. It was originally a medicinal herb commonly used in Shunning, Yunnan, and was named from the red juice resembling chicken blood that flowed out after the vein was cut off. The mainstream original plants of each dynasty were Kadsura heteroclita and Spatholobus suberectus. Among them, K. heteroclita mainly focused on dispersing blood stasis and unblocking meridians, mainly treating rheumatic pain and injuries caused by falls or blows, and it is mostly used as the raw material of Jixueteng ointments. S. suberectus was commonly used as decoction pieces in decoction, which had the functions of promoting blood circulation and replenishing blood, activating meridians and collaterals, and mainly used for treating anemia, irregular menstruation, and rheumatic bone pain. The production area of Spatholobi Caulis recorded in the Qing dynasty was Yunnan. Currently, the main production area of S. suberectus is Guangxi, while the main production area of K. interior is Yunnan. In the Qing dynasty, the usage of Spatholobi Caulis was an individual prescription with other herbs before making ointments, which was usually composed of the juice of it, safflower, angelica, and glutinous rice. But in modern times, Spatholobi Caulis is mostly sliced and dried for use. The quality of Spatholobi Caulis is often determined by the number of reddish-brown concentric circles on the cut surface, with a higher number indicating better quality. Additionally, the presence of resinous secretions is also considered desirable. Based on the research findings, it is suggested that when developing famous classical formulas containing Spatholobi Caulis, the choice of the primary source should be S. suberectus or K. heteroclita, taking into consideration the therapeutic effects of the formula. It is also recommended that the latest plant classification be referenced in the next edition of Chinese Pharmacopoeia, adjusting the primary source of Kadsurae Caulis to K. heteroclita to avoid confusion caused by inconsistent original names, and the functions adjust to promote Qi circulation and relieve pain, disperse blood stasis and unblock collaterals, treating injuries caused by falls and bruises.
6.Role and Mechanism of Cucurbitacin B in Suppressing Proliferation of Breast Cancer 4T1 Cells via Inducing Ferroptosis
Yidan RUAN ; Huizhong ZHANG ; Huating HUANG ; Pingzhi ZHANG ; Aina YAO ; Yongqiang ZHANG ; Xiaohan XU ; Shiman LI ; Jian NI ; Xiaoxu DONG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):91-97
ObjectiveTo explore the role of cucurbitacin B (CuB) in inducing ferroptosis in 4T1 cells and its mechanism. MethodsThe effects of CuB(0.2, 0.4, 0.8 μmol·L-1)on the proliferation ability of 4T1 cells in vitro were detected using the methyl thiazolyl tetrazolium (MTT) assay. The clonogenic ability of 4T1 cells was detected by the plate cloning assay, and the levels of lactate dehydrogenase (LDH) in 4T1 cells were detected by the use of a kit. The mitochondrial membrane potential and reactive oxygen species (ROS) levels in 4T1 cells were detected by flow cytometry, and the mitochondrial ultrastructure of 4T1 cells was observed by transmission electron microscopy. The western blot was used to detect the expression of ferroptosis-related protein p53 in 4T1 cells, solute carrier family 7 member 11 (SCL7A11), glutathione peroxidase 4 (GPX4), long-chain acyl-CoA synthetase 4 (ACSL4), transferrin receptor protein 1 (TFR1), and ferritin heavy chain 1 (FTH1). ResultsCompared with that in the blank group, the survival rate of 4T1 cells in CuB groups was significantly decreased (P<0.05), and the number of cell clones in CuB groups was significantly reduced (P<0.01). In addition, compared with that in the blank group, the leakage of LDH in cells in CuB groups was significantly increased (P<0.01), and the mitochondrial membrane potential of cells in CuB groups decreased significantly (P<0.01). Cellular ROS levels were significantly elevated in CuB groups (P<0.01). The mitochondria of cells in CuB groups were obviously wrinkled, and the mitochondrial cristae were reduced or even disappeared. Compared with that in the blank group, the protein expression of p53, ACSL4, and TFR1 were significantly up-regulated in CuB groups (P<0.05), and that of SLC7A11, GPX4, and FTH1 were significantly down-regulated (P<0.05). ConclusionCuB may inhibit SLC7A11 and GPX4 expression by up-regulating the expression of p53, which in turn regulates the p53/SLC7A11/GPX4 signaling pathway axis and accelerates the generation of lipid peroxidation substrate by up-regulating the expression of ACSL4. It up-regulates TFR1 expression to promote cellular uptake of Fe3+ and down-regulates the expression of FTH1 to reduce the ability of iron storage, resulting in an elevated free Fe2+ level. It catalyzes the Fenton reaction, generates excess ROS, imbalances the antioxidant system and iron metabolism, and then induces ferroptosis in 4T1 cells.
7.Role and Mechanism of Cucurbitacin B in Suppressing Proliferation of Breast Cancer 4T1 Cells via Inducing Ferroptosis
Yidan RUAN ; Huizhong ZHANG ; Huating HUANG ; Pingzhi ZHANG ; Aina YAO ; Yongqiang ZHANG ; Xiaohan XU ; Shiman LI ; Jian NI ; Xiaoxu DONG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):91-97
ObjectiveTo explore the role of cucurbitacin B (CuB) in inducing ferroptosis in 4T1 cells and its mechanism. MethodsThe effects of CuB(0.2, 0.4, 0.8 μmol·L-1)on the proliferation ability of 4T1 cells in vitro were detected using the methyl thiazolyl tetrazolium (MTT) assay. The clonogenic ability of 4T1 cells was detected by the plate cloning assay, and the levels of lactate dehydrogenase (LDH) in 4T1 cells were detected by the use of a kit. The mitochondrial membrane potential and reactive oxygen species (ROS) levels in 4T1 cells were detected by flow cytometry, and the mitochondrial ultrastructure of 4T1 cells was observed by transmission electron microscopy. The western blot was used to detect the expression of ferroptosis-related protein p53 in 4T1 cells, solute carrier family 7 member 11 (SCL7A11), glutathione peroxidase 4 (GPX4), long-chain acyl-CoA synthetase 4 (ACSL4), transferrin receptor protein 1 (TFR1), and ferritin heavy chain 1 (FTH1). ResultsCompared with that in the blank group, the survival rate of 4T1 cells in CuB groups was significantly decreased (P<0.05), and the number of cell clones in CuB groups was significantly reduced (P<0.01). In addition, compared with that in the blank group, the leakage of LDH in cells in CuB groups was significantly increased (P<0.01), and the mitochondrial membrane potential of cells in CuB groups decreased significantly (P<0.01). Cellular ROS levels were significantly elevated in CuB groups (P<0.01). The mitochondria of cells in CuB groups were obviously wrinkled, and the mitochondrial cristae were reduced or even disappeared. Compared with that in the blank group, the protein expression of p53, ACSL4, and TFR1 were significantly up-regulated in CuB groups (P<0.05), and that of SLC7A11, GPX4, and FTH1 were significantly down-regulated (P<0.05). ConclusionCuB may inhibit SLC7A11 and GPX4 expression by up-regulating the expression of p53, which in turn regulates the p53/SLC7A11/GPX4 signaling pathway axis and accelerates the generation of lipid peroxidation substrate by up-regulating the expression of ACSL4. It up-regulates TFR1 expression to promote cellular uptake of Fe3+ and down-regulates the expression of FTH1 to reduce the ability of iron storage, resulting in an elevated free Fe2+ level. It catalyzes the Fenton reaction, generates excess ROS, imbalances the antioxidant system and iron metabolism, and then induces ferroptosis in 4T1 cells.
8.Research Advances of Deep Learning-based Raman Spectroscopy and Their Application in Detection of Microplastics
Yong-Hui HAN ; Chun-Bo SHI ; Wang LIANG ; Xiao-Yue ZHANG ; Jian-Sheng CUI ; Bo YAO
Chinese Journal of Analytical Chemistry 2025;53(2):153-163
Microplastics are widely present in various environments such as water bodies,land,and atmosphere,which pose threats to the ecological environment and human health through transmission and accumulation in the food chain.The existing detection techniques for microplastics face challenges such as complex preparation procedure of samples,low efficiency in processing large batches of samples,and difficulties in handling complex samples.Therefore,there is an urgent need for rapid and efficient detection techniques suitable for complex microplastics samples in the field of environmental monitoring.Raman spectroscopy,known for its advantages such as rapidity,accuracy,high sensitivity,non-destructiveness,and non-contact,demonstrates great application potential in detection of microplastics.Deep learning,an artificial intelligence method known for its large-scale data processing,nonlinear modeling and automatic feature extraction capabilities,is receiving increasing attention in the analysis of Raman spectroscopy signals.The application of deep learning-based Raman spectroscopy has significantly improved performance indicators such as detection efficiency and accuracy.This article introduced the existing Raman enhancement techniques,summarized the deep learning methods applied in Raman spectroscopy signal analysis,reviewed the recent research and application progress of deep learning-based Raman spectroscopy in detection of microplastics,and finally discussed the challenges and future prospects of deep learning-based Raman spectroscopy in detection of microplastics.
9.Preparation and In Vitro Degradation Characteristics Analysis of Poly(lactic-co-glycolide)Microspheres Based on Microfluidic Process
Bao-Cheng WANG ; Cong-Yu MA ; Ke WANG ; Si-Tong ZHENG ; Xiao-Yan ZHANG ; Yue-Mei ZHAO ; Xun ZHAO ; Jian-Bin PAN ; Zheng-Song GAO ; Hai-Wei SHI ; Yao-Zuo YUAN ; Hong-Yuan CHEN
Chinese Journal of Analytical Chemistry 2025;53(4):621-630
Poly(lactic-co-glycolide)(PLGA)is a key excipient in long-acting sustained-release preparations,and its degradation properties directly affect the drug release behavior.In this study,PLGA microspheres were prepared by microfluidic techniques,and the morphology changes of the microspheres were observed by scanning electron microscopy(SEM).In alkaline environment,due to the accelerated hydrolysis of ester bonds,the surface of the microspheres was rapidly dissolved and eroded,and the degradation rate was significantly higher than that in acidic environment.High temperature accelerated the degradation of PLGA microspheres.Under neutral and alkaline conditions,the microspheres showed aggregation and adhesion.Under acidic conditions,the microspheres gradually decomposed into irregular fragments.The high ionic strength further promoted the surface corrosion of the microspheres,especially under extreme pH conditions.Simultaneously,PLGA microspheres encapsulating coumarin were prepared to simulate the microsphere formulation.The release rate of coumarin after degradation of the microspheres under different conditions was observed by measuring the absorbance with ultraviolet-visible spectrophotometry.The results were consistent with those of the blank microspheres.This study revealed that the degradation of PLGA microspheres was significantly pH-dependent,temperature sensitive and ion strength responsive.These findings not only helped to understand and optimize the long-term stability and controlled release performance of drug-carrying microspheres,but also provided a theoretical basis for further improvement of PLGA-based drug carrier design.
10.Nontarget Screening and Identification of Novel Per-and Polyfluoroalkyl Substances in Cosmetics Using Ultra-High Performance Liquid Chromatography-High-Resolution Mass Spectrometry
Xin-Ling LI ; Tao YANG ; Wen-Yao LIANG ; Jian-Hua TAN ; Xian-Zhi PENG
Chinese Journal of Analytical Chemistry 2025;53(4):640-651,中插23-中插28
Cosmetics may be an important source of human exposure to per-and polyfluoroalkyl substances(PFASs),posing risks to human health.In this study,a nontarget screening method for PFASs in cosmetics was developed using ultra-high performance liquid chromatography-high-resolution mass spectrometry(UHPLC-Q-Orbitrap HRMS)based on the Kendrick mass defect(KMD).The sample was extracted by ultrasonic assisted extraction prior to being analyzed by UHPLC-Q-Orbitrap HRMS.Acquisition of HRMS data was achieved in both full scan and data-dependent(Full MS/dd MS2)mode.The data collected by HRMS were imported into an in-lab built R script for processing.Samples retained the mass spectra peaks with KMD values in the range of 0.85-1 or 0-0.15 for in-and out-of-library matching;when KMD deviation(δKMD)<0.001 and CF 2 mass error(δMS)<15 ppm,it was considered as a potential PFASs homologues.According to matches of parent ions(MS),fragment ions(MS2)and retention time(RT)with the in-house built PFASs database,the screened and identified potential PFASs were categorized to 5 confidence levels(CL1-CL5).A total of 15 kinds of PFASs homologues with confidence level of CL3 and above were screened from 13 cosmetics products and 8 cosmetic raw materials,including perfluoroalkyl alcohol,hydroperfluoroalkyl sulfonic acid,chloroperfluoroalkyl sulfonic acid,etc.with concentrations ranging from 1.9 ng/g to 98.1 ng/g.The nontarget screening method could be used to screen and identify PFASs homologues feasibly and therefore provided data basis for management and control of PFASs addition in cosmetics.


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