Diseases of the central nervous system have become a growing global health concern. At present， there are many adverse reactions in the treatment with Western medicine. In contrast， traditional Chinese medicine has shown unique efficacy and rich clinical practice accumulation in diseases of the central nervous system. As a traditional Chinese medicine， Bupleuri Radix has played an important role in the treatment of neurological diseases through multi-target regulation， multi-pathway intervention， and multi-pathway mechanism of action. In recent years， with the in-depth study of the pharmacological effects of Bupleuri Radix， it has been found that the active ingredients such as saikosaponin， baicalin， quercetin， and kaempferol in Bupleuri Radix can be used as the main material basis for the treatment of neurological diseases. The results of this study showed that in neurodegenerative diseases， active ingredients of Bupleuri Radix can inhibit β-amyloid （Aβ） deposition and abnormal phosphorylation of microtubule-associated protein （Tau protein） in Alzheimer's disease， regulate the nuclear factor-κB/nuclear factor E₂ related factor 2 （NF-κB/Nrf2） pathway to play the anti-inflammatory role， and alleviate α-Synuclein （α-Syn） aggregation and mitochondrial damage in Parkinson's disease. In epilepsy， depression， and cerebral ischemia， they can improve symptoms by regulating neurotransmitters， oxidative stress， and apoptosis pathways， and inhibit brain glioma proliferation. However， the mechanism of action has not been fully elucidated， and the complexity of compound components and poor blood-brain barrier penetration limit their clinical application. In the future， it is necessary to integrate multi-omics， network pharmacology， and nano-delivery technologies， focus on the optimization of active ingredient group compounds and the precise guidance of biomarkers， accelerate the development of innovative therapies for Alzheimer's disease， Parkinson's disease， and other diseases for laying a solid theoretical foundation for further development and application and inspiring new research ideas.

ObjectiveTo conduct a theoretical study on the medical-rehabilitation integration. MethodsStarting from the background, objectives and content of the medical-rehabilitation integration, this study analyzed its innovative points from the dimensions of conceptual innovation, organizational innovation, model innovation and technological innovation. Results and ConclusionThe medical-rehabilitation integration is an innovation in medical services that takes conceptual innovation as the forerunner, organizational innovation as the foundation, model innovation as the carrier and technological innovation as the core.

ObjectiveAbnormal lipids in neurons can cause the accumulation of α-synuclein（α-syn）. This study aimed to explore the mechanism of Acanthopanacis Senticosi Radix et Rhizoma seu Caulis extract （ASH） in treating Parkinson's disease （PD） mice using lipidomics combined with network pharmacology. MethodsMice were divided into the blank group， model group and ASH （45.5 mg·kg^-1） group. Motor ability was evaluated by pole climbing time and autonomous activity count； The oxidative stress indicators were detected by enzyme-linked immunosorbent assay （ELISA）. Lipid biomarkers in brain tissues were screened and identified by ultra-performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS）， and metabolic pathway analysis was conducted. The key targets of ASH for PD treatment were explored using network pharmacology. The Kyoto Encyclopedia of Genes and Genomes （KEGG） database was used for pathway enrichment analysis， and the "compound-reaction-enzyme-gene" network was constructed using the MetScape plugin. The protein expression levels of glutathione S-transferase P1 （GSTP1）， glutathione S-transferase Mu 2 （GSTM2）， prostaglandin peroxide synthase 1 （PTGS1）， prostaglandin peroxide synthase 2 （PTGS2）， and prostaglandin E synthase （PTGES） were validated by Western blot. ResultsCompared with the blank group， the model group showed significantly prolonged pole climbing time and reduced autonomous activity count （P<0.01）. Compared with the model group， the ASH group demonstrated significantly faster pole climbing and increased autonomous activity count （P<0.01）. The model group exhibited significantly decreased superoxide dismutase （SOD） and glutathione peroxidase （GSH-Px） levels， and increased malondialdehyde （MDA） level in brain tissues compared with the blank group （P<0.01）. The ASH group showed increased SOD and GSH-Px levels and decreased MDA level compared with the model group （P<0.05， P<0.01）. Lipidomics analysis identified 10 differential metabolites and 8 differential metabolic pathways. Network pharmacological analysis revealed 213 intersection targets between ASH components and PD， with KEGG enrichment involving the sphingolipid signaling pathway， lipid arteriosclerosis， phosphoinositide 3-kinase/protein kinase B（PI3K/Akt） signaling pathway， mitogen-activated protein kinase（MAPK） signaling pathway， and hypoxia inducible factor-1（HIF-1） signaling pathway. Integrated lipidomics and network pharmacology analysis highlighted the central role of the arachidonic acid metabolic pathway. The Western blot results showed that ASH effectively up-regulated GSTP1， GSTM2， and PTGS1 protein expression， and down-regulated PTGS2 and PTGES protein expression. ConclusionASH can ameliorate behavioral deficits， exert antioxidant effects， regulate lipid differential metabolites and the arachidonic acid metabolic pathway， thereby exerting therapeutic effects in PD model mice.

Objective To construct an optimal prediction model of chickenpox in Urumqi, and to provide reference for formulating the prevention and control strategies of chickenpox. Methods The multivariate autoregressive moving average model (ARIMAX) and random forest model (RF) were established based on the monthly incidence of chickenpox in Urumqi from 2014 to 2018, and the monthly incidence of chickenpox in 2019 was used to test the models and evaluate their prediction effect. The prediction performance of the two models was compared, and the best model was selected to predict the incidence of chickenpox in Urumqi. Results The incidence of chickenpox in Urumqi showed a regular bimodal distribution with obvious seasonality, and it showed a slow upward trend from July 2014 to December 2019. The fitting model was ARIMA(0,1,0)(0,1,1)₁₂, the root mean square error (RMSE) and mean absolute error (MAE) of ARIMAX model training set were 1.29 and 0.95, respectively, and the RMSE and MAE of the test set were 1.88 and 1.44, respectively. The training set RMSE and MAE of RF model were 1.56 and 1.56, respectively, and the test set RMSE and MAE were 4.83 and 3.96, respectively. Conclusion The performance of ARIMAX model is better than that of RF model, which can better predict the incidence trend of chickenpox in Urumqi. It is necessary to optimize the prediction model according to the actual situation and provide scientific guidance for the prevention and control of chickenpox.

During orthodontic treatment, clinical monitoring of patients is a crucial factor in determining treatment success. It aids in timely problem detection and resolution, ensuring adherence to the intended treatment plan. In recent years, digital technology has increasingly permeated orthodontic clinical diagnosis and treatment, facilitating clinical decision-making, treatment planning, and follow-up monitoring. This review summarizes recent advancements in digital technology for monitoring orthodontic tooth movement, related complications, and appliance-wearing compliance. It aims to provide insights for researchers and clinicians to enhance the application of digital technology in orthodontics, improve treatment outcomes, and optimize patient experience. The digitization of diagnostic data and the visualization of dental models make chair-side follow-up monitoring more convenient, accurate, and efficient. At the same time, the emergence of remote monitoring technology allows orthodontists to promptly identify oral health issues in patients and take corresponding measures. Furthermore, the multimodal data fusion method offers valuable insights into the monitoring of the root-alveolar relationship. Artificial intelligence technology has made initial strides in automating the identification of orthodontic tooth movement, associated complications, and patient compliance evaluation. Sensors are effective tools for monitoring patient adherence and providing data-driven support for clinical decision-making. The application of digital technology in orthodontic monitoring holds great promise. However, challenges like technical bottlenecks, ethical considerations, and patient acceptance remain.

Nervous system diseases， also known as neuropathies， encompass a wide range of conditions， primarily including Alzheimer's disease （AD）， Parkinson's disease （PD）， Huntington's disease， and other neurodegenerative disorders， as well as depression， subarachnoid hemorrhage， cerebral ischemia-reperfusion injury， vascular dementia， and other neurological diseases. These diseases pose serious threats to the health and lives of patients， bringing heavy burdens to society and families. The pathogenesis of nervous system diseases is highly complex， involving mechanisms such as neuroinflammation， oxidative stress， apoptosis， endoplasmic reticulum stress， mitochondrial dysfunction， brain-derived neurotrophic factor deficiency， reduced cholinergic activity， axonal injury， and demyelination. In recent years， the incidence and mortality of nervous system diseases have been rising annually. Currently， western medicine primarily focuses on symptomatic treatment， often accompanied by many adverse reactions， including lethargy， excessive sedation， dizziness， headaches， tachycardia， liver function damage， metabolic disorders， and incomplete recovery after surgery. As a traditional Chinese medicine， Salviae Miltiorrhizae Radix et Rhizoma has effects such as promoting blood circulation， removing blood stasis， cooling the blood， clearing the heart， nourishing the blood， and calming the nerves. It can play a role in the treatment and protection against nervous system diseases through multiple targets， pathways， and mechanisms. Studies have found that the water-soluble phenolic acids and fat-soluble diterpenoid quinones in Salviae Miltiorrhizae Radix et Rhizoma are the main active ingredients for the treatment of nervous system diseases. This paper summarized the effects of the active components and compounds of Salviae Miltiorrhizae Radix et Rhizoma on nervous system diseases over the past ten years， aiming to provide a theoretical basis and research ideas for the development and application of active components and compounds of Salviae Miltiorrhizae Radix et Rhizoma in nervous system diseases.

ObjectiveTo investigate the mechanism of action of Huangqi Chifengtang （HQCFT） on rats with atherosclerosis （AS） by regulating the gut microbiota and their metabolites. MethodsA rat model of AS was induced through high-fat diet feeding and vitamin D₃ injection， and the modeling lasted for 12 weeks. Fifty eight-week-old male SD rats were randomly divided into five groups： A blank group， a model group， a group receiving a low dose of HQCFT at 1.53 g·kg^-1 （HQCFT-L group）， a group receiving a high dose of HQCFT at 3.06 g·kg^-1 （HQCFT-H group）， and a group receiving atorvastatin calcium tablets at 1.8 mg·kg^-1 （Ato group）， with 10 rats in each group. Oral gavage administration started on the day after model establishment， once daily for four weeks. The efficacy of HQCFT was verified using aortic hematoxylin-eosin （HE） staining and determination of lipid levels and hemorrheology. The real-time polymerase chain reaction （Real-time PCR） was used for detecting inflammatory factor levels in the aorta， high-throughput sequencing for analyzing the gut microbiota composition in intestinal contents， targeted metabolomics for detecting short-chain fatty acid （SCFA） levels， and non-targeted metabolomics for identifying metabolomic profiles of intestinal contents. ResultsCompared with that in the blank group， the aortic tissue of rats in the model group showed significant AS lesions， including endothelial damage， inflammatory infiltration， and formation of fibrous plaques and calcified foci. Moreover， serum triacylglycerol （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C） levels were significantly elevated （P<0.05）， while high-density lipoprotein cholesterol （HDL-C） levels were significantly reduced （P<0.05）. Significant increases were observed in whole blood viscosity， plasma viscosity， and the mRNA expression levels of NOD-like receptor pyrin domain containing 3 （NLRP3）， Caspase-1， interleukin （IL）-β， IL-6， and tumor necrosis factor-α （TNF-α） in aortic tissue （P<0.05）. Additionally， gut microbiota composition， SCFA levels， and metabolomic profiles were significantly altered. Compared with those in the model group， serum TC， TG， and LDL-C levels， as well as the whole blood viscosity and plasma viscosity， were significantly reduced in all groups treated with HQCFT （P<0.05）. Significant decreases were observed in NLRP3 mRNA expression levels in all groups treated with HQCFT， Caspase-1， IL-β， and IL-6 mRNA expression levels in the HQCFT-H group， and TNF-α mRNA expression levels in the HQCFT-L group （P<0.05）. HQCFT reversed the increase in the F/B ratio and dialled back the decrease in the relative abundance of Blautia and the increase in that of Desulfovibrio. HQCFT promoted the production of acetic acid， valeric acid， and propionic acid. Non-targeted metabolomics identified 39 differential metabolites， which were mainly enriched in metabolic pathways such as arachidonic acid metabolism and primary bile acid biosynthesis. ConclusionThe mechanism by which HQCFT ameliorates AS injury may be related to the improvement of dyslipidemia and body inflammatory responses by altering gut microbiota composition， promoting SCFA production， and regulating the levels of metabolites in intestinal contents.

ObjectiveTo investigate the mechanism of action of Huangqi Chifengtang （HQCFT） on rats with atherosclerosis （AS） by regulating the gut microbiota and their metabolites. MethodsA rat model of AS was induced through high-fat diet feeding and vitamin D₃ injection， and the modeling lasted for 12 weeks. Fifty eight-week-old male SD rats were randomly divided into five groups： A blank group， a model group， a group receiving a low dose of HQCFT at 1.53 g·kg^-1 （HQCFT-L group）， a group receiving a high dose of HQCFT at 3.06 g·kg^-1 （HQCFT-H group）， and a group receiving atorvastatin calcium tablets at 1.8 mg·kg^-1 （Ato group）， with 10 rats in each group. Oral gavage administration started on the day after model establishment， once daily for four weeks. The efficacy of HQCFT was verified using aortic hematoxylin-eosin （HE） staining and determination of lipid levels and hemorrheology. The real-time polymerase chain reaction （Real-time PCR） was used for detecting inflammatory factor levels in the aorta， high-throughput sequencing for analyzing the gut microbiota composition in intestinal contents， targeted metabolomics for detecting short-chain fatty acid （SCFA） levels， and non-targeted metabolomics for identifying metabolomic profiles of intestinal contents. ResultsCompared with that in the blank group， the aortic tissue of rats in the model group showed significant AS lesions， including endothelial damage， inflammatory infiltration， and formation of fibrous plaques and calcified foci. Moreover， serum triacylglycerol （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C） levels were significantly elevated （P<0.05）， while high-density lipoprotein cholesterol （HDL-C） levels were significantly reduced （P<0.05）. Significant increases were observed in whole blood viscosity， plasma viscosity， and the mRNA expression levels of NOD-like receptor pyrin domain containing 3 （NLRP3）， Caspase-1， interleukin （IL）-β， IL-6， and tumor necrosis factor-α （TNF-α） in aortic tissue （P<0.05）. Additionally， gut microbiota composition， SCFA levels， and metabolomic profiles were significantly altered. Compared with those in the model group， serum TC， TG， and LDL-C levels， as well as the whole blood viscosity and plasma viscosity， were significantly reduced in all groups treated with HQCFT （P<0.05）. Significant decreases were observed in NLRP3 mRNA expression levels in all groups treated with HQCFT， Caspase-1， IL-β， and IL-6 mRNA expression levels in the HQCFT-H group， and TNF-α mRNA expression levels in the HQCFT-L group （P<0.05）. HQCFT reversed the increase in the F/B ratio and dialled back the decrease in the relative abundance of Blautia and the increase in that of Desulfovibrio. HQCFT promoted the production of acetic acid， valeric acid， and propionic acid. Non-targeted metabolomics identified 39 differential metabolites， which were mainly enriched in metabolic pathways such as arachidonic acid metabolism and primary bile acid biosynthesis. ConclusionThe mechanism by which HQCFT ameliorates AS injury may be related to the improvement of dyslipidemia and body inflammatory responses by altering gut microbiota composition， promoting SCFA production， and regulating the levels of metabolites in intestinal contents.

Objective To investigate the species of ticks in Suizhou City, Hubei Province, so as to provide insights into management of ticks and tick-borne diseases. Methods During the period between May 2023 and June 2024, livestock breeding farms and vegetation neighboring the place of residence of confirmed and suspected patients with tick-borne disease were selected as sampling points in rural areas from Yindian Township, Gaocheng Township, Wanhe Township, Wushan Township, Xiaolin Township, Xihe Township, Hedian Township and Beijiao Street in Suizhou City, Hubei Province, where confirmed and suspected cases with tick-borne diseases had been reported. The parasitic ticks on the body surface of free-range livestock were captured with tweezers in livestock breeding farms, and free ticks on the vegetation surface were captured with the flagging method. Morphological identification of tick samples was performed under a microscope, and the gender and developmental stage of ticks were determined. One engorged adult tick, 2 to 3 blood-feeding but non-engorged adult ticks, 10 to 15 unfed female ticks, 15 to 20 unfed male ticks, and 30 to 40 tick nymphs or larvae were assigned into a group, respectively. Genomic DNA was extracted from tick samples in each group, and mitochondrial 16S rRNA gene was amplified. Sequence analysis was performed with the DNASTAR software, and phylogenetic analysis was performed using the software MEGA 7.0. In addition, the phylogenetic tree was generated using the maximum likelihood method based on the Kimura 2 parameter model. Results A total of 2 438 ticks were captured from Suizhou City, Hubei Province during the period between May 2023 and June 2024, including 595 free ticks and 1 483 parasitic ticks. Three developmental stages of ticks were captured, including larvae, nymphs, and adults, and 75.18% (1 899/2 438) of captured ticks were adult, in which 79.04% (1 501/1 899) were female. Morphological and molecular biological assays identified one family, three genera and four species of captured ticks, including 2 425 Haemaphysalis longicornis ticks (99.47%) and one H. flava tick (0.04%) of the genus Haemaphysalis, 11 Rhipicephalus microplus ticks (0.45%) of the genus Rhipicephalus, and one Ixodes sinensis tick (0.04%) of the genus Ixodes in the family Ixodidae. Phylogenetic analysis revealed that the H. longicornis sequence (SZ49) in this study was clustered with sequences from Yunnan Province (GenBank accession number: MH024510.1), Hebei Province (GenBank accession number: MK450606.1) and Henan Province (GenBank accession number: MZ230645.1) into a clade, and the H. flava sequence (SZ19) in this study was clustered with sequences from Japan (GenBank accession number: MW064044.1), South Korea (GenBank accession number: ON629585.1), and Jiangsu Province (GenBank accession number: PP494741.1) and Hebei Province of China (GenBank accession number: MH520685.1) into a clade, while the R. microplus sequence (SZ8) in this study was clustered with the sequences from India (GenBank accession number: MK621328.1), and Henan Province (GenBank accession number: MT555307.1) and Guizhou Province of China (GenBank accession number: PP446801.1) into a clade. The sequence of I. sinensis (SZ23) in this study had 99.51% homology with that (GenBank accession number: OM368265.1) of ticks sampled from Wuhan City, Hubei Province. Conclusion There are four tick species of H. longicornis, H. flava, R. microplus and I. sinensis in Suizhou City, Hubei Province, and H. longicornis is the dominant species. H. flava is firstly recorded in Suizhou City.

ObjectiveTo investigate the mechanism of Acanthopanacis Senticosi Radix et Rhizoma seu Caulis extract （ASH） in treating Parkinson's disease （PD） in mice by Data-Independent Acquisition （DIA） proteomics. MethodsThe α-Synuclein （α-Syn） transgenic PD mice were selected as suitable models for PD， and they were randomly assigned into PD， ASH （61.25 mg·kg^-1）， and Madopar （97.5 mg·kg^-1） groups. Male C57BL/6 mice of the same age were selected as the control group， with eight mice in each group. Mice were administrated with corresponding drugs by gavage once a day for 20 days. The pole climbing time and the number of autonomic activities were recorded to evaluate the exercise ability of mice. Hematoxylin-eosin staining was employed to observe neuronal changes in the substantia nigra of PD mice. Immunohistochemistry （IHC） was employed to measure the tyrosine hydroxylase （TH） activity in the substantia nigra and assess the areal density of α-Syn in the striatum. DIA proteomics was used to compare protein expression in the substantia nigra between groups. IHC was utilized to validate key differentially expressed proteins， including Lactotransferrin， Notch2， Ndrg2， and TMEM 166. The cell counting kit-8 （CCK-8） method was used to investigate the effect of ASH on the viability of PD cells with overexpression of α-Syn. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot were employed to determine the protein and mRNA levels of Lactotransferrin， Notch2， Ndrg2， and TMEM 166 in PD cells. ResultsCompared with the control group， the model group showed prolonged pole climbing time， diminished coordination ability， reduced autonomic activities （P<0.01）， and reduced swelling neurons. Compared with the model group， ASH and Madopar reduced the climbing time， increased autonomic activities （P<0.01）， and ameliorated neuronal damage. Compared with the control group， the model group showed a decrease in TH activity in the substantia nigra and an increase in α-Syn accumulation in the striatum （P<0.01）. Compared with the model group， the ASH group showed an increase in TH activity and a reduction in α-Syn accumulation （P<0.05）. DIA proteomics revealed a total of 464 differentially expressed proteins in the model group compared with the control group， with 323 proteins being up-regulated and 141 down-regulated. A total of 262 differentially expressed proteins were screened in the ASH group compared with the model group， including 85 proteins being up-regulated and 177 down-regulated. Kyoto encylopedia of genes and genomes （KEGG） pathway analysis indicated that ASH primarily regulated the Notch signaling pathway. The model group showed up-regulation in protein levels of Notch2， Ndrg2， and TMEM 166 and down-regulation in the protein level of Lactotransferrin compared with the control group （P<0.01）. Compared with the model group， ASH down-regulated the protein levels of Notch2， Ndrg2， and TMEM 166 （P<0.05） while up-regulating the protein level of Lactotransferrin （P<0.01）. The IHC results corroborated the proteomics findings. The cell experiment results showed that compared with the control group， the modeling up-regulated the mRNA and protein levels of Notch2， Ndrg2， and TMEM 166 （P<0.01）， while down-regulating the mRNA and protein levels of Lactotransferrin （P<0.01）. Compared with the model group， ASH reduced the mRNA and protein levels of Notch2， Ndrg2， and TMEM 166 （P<0.01）， while increasing the mRNA and protein levels of Lactotransferrin （P<0.05， P<0.01）. ConclusionASH may Synergistically inhibit the Notch signaling pathway and mitigate neuronal damage by down-regulating the expression of Notch2 and Ndrg2. Additionally， by up-regulating the expression of Lactotransferrin and down-regulating the expression of TMEM166， ASH can address brain iron accumulation， intervene in ferroptosis， inhibit mitophagy， and mitigate reactive oxygen species damage， thereby protecting nerve cells and contributing to the treatment of PD.