OBJECTIVE:It has been confirmed that neuromodulation technology can improve the clinical symptoms of patients with Parkinson's disease,and there are differences in the efficacy of different neuromodulation stimulation methods.Herein,a network meta-analysis was used to evaluate the efficacy of different neuromodulation stimulation modalities in improving non-motor symptoms such as sleep disorders and depression and anxiety in patients with Parkinson's disease,thereby exploring the optimal neuromodulation stimulation regimen.METHODS:The Chinese Biomedical Literature Database,WanFang Database,VIP Database,CNKI Database,Web of Science,PubMed,The Cochrane Library,and EMbase databases were searched for randomized controlled trials on neuromodulation techniques to improve sleep disorders,depression and anxiety in patients with Parkinson's disease.The control group was treated with conventional treatments(drugs,conventional rehabilitation therapy,etc.)or sham stimulation,and the experimental group was supplemented with neuromodulation technology on the basis of the control group.The quality of the included studies was evaluated using the PEDro scale and the deviation risk assessment tool recommended by the Cochrane Collaboration.RevMan 5.4 and Stata 17.0 were used for network meta-analysis of the four outcomes(sleep disorders,anxiety symptoms,depressive symptoms,and quality of life).RESULTS:(1)Twenty-nine randomized controlled trials involving six neuromodulation stimulation modalities were included.These modalities were transcranial direct current stimulation,high-frequency repetitive transcranial magnetic stimulation,low-frequency repetitive transcranial magnetic stimulation,deep brain stimulation of the subthalamic nucleus,deep brain stimulation of the globus pallidus,multi-target deep brain stimulation.(2)The results of network meta-analysis showed that compared with conventional treatment,transcranial direct current stimulation[standardized mean difference(SMD)=-2.57,95％confidence interval(CI)=-4.52 to-0.63,P＜0.05)had the best effect in improving sleep disorders in patients with Parkinson's disease.In terms of improving depressive symptoms,deep brain stimulation of the globus pallidus(SMD=-1.00,95％CI=-1.87 to-0.14,P＜0.05)had the best effect,followed by low-frequency repetitive transcranial magnetic stimulation(SMD=-0.91,95％CI=-1.60 to-0.23,P＜0.05),deep brain stimulation of the subthalamic nucleus(SMD=-0.82,95％CI=-1.56 to-0.08,P＜0.05),and high-frequency repetitive transcranial magnetic stimulation(SMD=-0.75,95％CI=-0.97 to-0.53,P＜0.05).In terms of improving anxiety symptoms,high-frequency repetitive transcranial magnetic stimulation(SMD=-0.86,95％CI=-1.54 to-0.18,P＜0.05)had the best effect.In terms of improving the quality of life,deep brain stimulation of the globus pallidus(SMD=-0.79,95％CI=-1.55 to-0.04,P＜0.05)had the best efficacy,followed by high-frequency repetitive transcranial magnetic stimulation(SMD=-0.63,95％CI=-0.90 to-0.36,P＜0.05)and transcranial direct current stimulation(SMD=-0.50,95％CI=-0.80 to-0.19,P＜0.05).CONCLUSION:Neuromodulation technology has significant efficacy in improving non-motor symptoms in patients with Parkinson's disease.Transcranial direct current stimulation has the best efficacy in improving sleep disorders,deep electrical stimulation of the medial cerebral part of the globus pallidus has the best efficacy in improving depressive symptoms,high-frequency repetitive transcranial magnetic stimulation has the best efficacy in improving anxiety symptoms,and deep electrical stimulation of the globus pallidus has the best efficacy in improving quality of life.

This paper has constructed a traditional Chinese medicine （TCM） specialized disease dataset platform for mixed hemorrhoids based on a multimodal large model， and the preliminary application has been validated. The platform uses StarRocks to establish a four-level data warehouse system， enabling the aggregation， cleaning， and standardization of multi-source heterogeneous data. Using DeepSeek-R1-Distill-Qwen-7B as the base model， domain fine-tuning is performed through low-rank adaptation （LoRA） technology. Combined with LLaMA-3.3 natural language processing and reasoning chain techniques， the platform enables intelligent parsing and structured extraction of unstructured TCM medical records. It accurately identifies six major categories and 28 subcategories of entities， including symptoms and syndromes， with a fine-tuned model F1 score of 93.8%. The platform has established a high-quality specialized disease dataset containing more than 50,000 medical records and has been applied in a real-world study involving 17,831 patients， preliminarily verifying the efficacy of TCM heritage surgery.

ObjectiveTo address the challenges of unstructured classical Chinese expressions， nested entity relationships， and limited annotated data in famous traditional Chinese medicine（TCM） case records， this study proposes a joint relation extraction framework that integrates data augmentation and entity mapping， aiming to support the construction of TCM diagnostic knowledge graphs and clinical pattern mining. MethodsWe developed an annotation structure for entities and their relationships in TCM case texts and applied a data augmentation strategy by incorporating multiple ancient texts to expand the relation extraction dataset. A cascade binary tagging framework for relation triple extraction（CasRel） model for TCM semantics was designed， integrating a pre-trained bidirectional encoder representations from transformers（BERT） layer for classical TCM texts to enhance semantic representation， and using a head entity-relation-tail entity mapping mechanism to address entity nesting and relation overlapping issues. ResultsExperimental results showed that the CasRel model， combining data augmentation and entity mapping， outperformed the pipeline-based Bert-Radical-Lexicon（BRL）-bidirectional long short-term memory（BiLSTM）-Attention model. The overall precision， recall， and F₁-score across 12 relation types reached 65.73%， 64.03%， and 64.87%， which represent improvements of 14.26%， 7.98%， and 11.21% compared to the BRL-BiLSTM-Attention model， respectively. Notably， the F₁-score for tongue syndrome relations increased by 22.68%（69.32%）， and the prescription-syndrome relations performed the best with the F₁-score of 70.10%. ConclusionThe proposed framework significantly improves the semantic representation and complex dependencies in TCM texts， offering a reusable technical framework for structured mining of TCM case records. The constructed knowledge graph can support clinical syndrome differentiation， prescription optimization， and drug compatibility， providing a methodological reference for TCM artificial intelligence research.

ObjectiveTo observe the changes in the levels of different subtypes of epidermal growth factor receptor （ErbB）， namely ErbB1， ErbB2， ErbB3， and ErbB4， in the spinal dorsal horn of inflammatory pain model rats， and to explore their mechanism of mediating hyperalgesia as well as the intervention mechanism of electroacupuncture at "Zusanli （ST 36）" and "Kunlun （BL 60）". MethodsThe study was divided into five parts. In experiment 1， 14 Sprague Dawley （SD） rats were randomly divided into control and inflammatory pain group （7 rats each group） to observe the pain behavior and the protein expression of different ErbB receptor subtypes in the spinal dorsal horn. In experiment 2， 30 rats were randomly divided into control group 1， inflammatory pain group 1， and low-， medium-， and high-concentration TX1-85-1 groups， with 6 rats in each group， to observe the effect of inhibiting spinal ErbB3 on inflammatory pain. In experiment 3， 12 rats were randomly divided into control virus group and ErbB3 knockdown virus group， with 6 rats in each group， to observe the effect of knocking down ErbB3 in the spinal dorsal horn on inflammatory pain. In experiment 4， 44 rats were randomly divided into control group 2， inflammatory pain group 2， electroacupuncture group， and sham electroacupuncture group， with 11 rats in each group， to observe the effect of electroacupuncture. In experiment 5， 40 rats were randomly divided into control group 3， inflammatory pain group 3， electroacupuncture group 1， and electroacupuncture + NRG1 group， with 10 rats in each group， to observe the effect of activating ErbB3 on electroacupuncture. A rat model of inflammatory pain was established by subcutaneous injection of 100 μl of complete Freund's adjuvant into the sole of the unilateral hind foot of SD rats. Rats in the low-， medium-， and high-concentration TX1-85-1 groups were intrathecally injected with ErbB3 inhibitor TX1-85-1 on day 5 to day 7 after modeling. Rats in the ErbB3 knockdown virus group were injected with ErbB3 knockdown virus packaged with adenovirus vector-based short hairpin RNA （shRNA） into the spinal dorsal horn in situ 3 weeks before modeling. Rats in each electroacupuncture group received electroacupuncture at bilateral "Zusanli （ST 36）" and "Kunlun （BL 60）" from day 1 to day 7 after modeling， with dense-sparse waves at a frequency of 2 Hz/100 Hz and a current of 0.5-1.5 mA for 30 minutes once a day. Rats in the electroacupuncture + NRG1 group were intrathecally injected with ErbB3 ligand recombinant human neuregulin-1 （NRG1） after electroacupuncture intervention from day 5 to day 7 after modeling. The mechanical withdrawal threshold and thermal withdrawal latency of rats were measured on day 1， 3， 5， and 7 after modeling to evaluate behavior， and Western Blot was used to detect the protein and phosphorylation levels of each ErbB subtype in the spinal dorsal horn. ResultsCompared with the control group， rats in the inflammatory pain group showed decreased mechanical withdrawal threshold and thermal withdrawal latency of rats， and increased expression of phosphorylated ErbB3 （p-ErbB3） protein in the spinal dorsal horn on days 1， 3， 5， and 7 after modeling （P＜0.01）. On day 5 and day 7 after modeling， compared with the inflammatory pain group 1， the mecha-nical withdrawal threshold and thermal withdrawal latency of rats in the medium- and high-concentration TX1-85-1 groups increased， and the expression of p-ErbB3 protein decreased （P＜0.05）. On day 1， 3， 5， and 7 after modeling， compared with the control virus group， the mechanical withdrawal threshold and thermal withdrawal latency of rats in the ErbB3 knockdown virus group increased （P＜0.05）. On day 5 and day 7 after modeling， compared with the inflammatory pain group 2 and the sham electroacupuncture group， the mechanical withdrawal threshold and thermal withdrawal latency of rats in the electroacupuncture group increased， and the expression of p-ErbB3 protein decreased （P＜0.05）. On day 5 and day 7 after modeling， compared with the electroacupuncture + NRG1 group， the mechanical withdrawal threshold and thermal withdrawal latency of rats in the electroacupuncture group 1 increased （P＜0.05）. ConclusionThe p-ErbB3 in the spinal dorsal horn involved in hyperalgesia in rats with inflammatory pain， and electroacupuncture at "Zusanli （ST 36）" and "Kunlun （BL 60）" can alleviate inflammatory pain by inhibiting the expression of p-ErbB3 protein in the spinal dorsal horn of rats.

ObjectiveTo investigate the mechanisms by which Renshentang treats atherosclerosis （AS） in mice， focusing on the regulation of endothelial inflammatory responses mediated by transient receptor potential vanilloid subtype 1 （TRPV1）. MethodsAn AS model was established in apolipoprotein E knockout （ApoE^-/-） mice fed a high-fat diet. The mice were randomly divided into a simvastatin group （0.02 g·kg^-1·d^-1） and low-， medium-， and high-dose Renshentang groups （1.77， 3.54， 7.08 g·kg^-1·d^-1）， with 12 mice in each group. ApoE^-/- mice were fed a high-fat diet and treated simultaneously. C57BL/6J mice fed a normal diet served as the normal group （n=9）. After continuous administration for 12 weeks， mice were anesthetized and the aortas were collected. Oil Red O staining was used to observe lipid plaque formation in the aorta. Hematoxylin-eosin （HE） staining was performed to examine pathological changes in the aortic root. Immunohistochemistry was used to analyze the levels of pro-inflammatory factors tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β）， as well as the expression of TRPV1， phosphorylated phosphoinositide 3-kinase （p-PI3K）， and phosphorylated protein kinase B （p-Akt） in the aortic root. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect endothelial nitric oxide synthase （eNOS） mRNA expression in the aorta， and Western blot was used to detect TRPV1 protein expression. ResultsCompared with the normal group， the model group showed a significant increase in aortic plaque formation （P<0.01） and significantly elevated levels of TNF-α and IL-1β in the aortic root （P<0.01）. The expression levels of TRPV1， p-PI3K， and p-Akt were decreased （P<0.05， P<0.01）， and eNOS mRNA expression was reduced （P<0.05， P<0.01）. Compared with the model group， all Renshentang groups significantly reduced aortic plaque formation （P<0.01）， significantly decreased TNF-α and IL-1β levels （P<0.01）， and markedly increased the expression levels of TRPV1， p-PI3K， p-Akt， and eNOS mRNA （P<0.05， P<0.01）. ConclusionRenshentang may inhibit endothelial inflammation and suppress the formation of AS by increasing TRPV1 protein expression and up-regulating the PI3K/Akt/eNOS signaling pathway， which may be one of the molecular mechanisms underlying its therapeutic effect against AS.

OBJECTIVE:It has been confirmed that neuromodulation technology can improve the clinical symptoms of patients with Parkinson's disease,and there are differences in the efficacy of different neuromodulation stimulation methods.Herein,a network meta-analysis was used to evaluate the efficacy of different neuromodulation stimulation modalities in improving non-motor symptoms such as sleep disorders and depression and anxiety in patients with Parkinson's disease,thereby exploring the optimal neuromodulation stimulation regimen.METHODS:The Chinese Biomedical Literature Database,WanFang Database,VIP Database,CNKI Database,Web of Science,PubMed,The Cochrane Library,and EMbase databases were searched for randomized controlled trials on neuromodulation techniques to improve sleep disorders,depression and anxiety in patients with Parkinson's disease.The control group was treated with conventional treatments(drugs,conventional rehabilitation therapy,etc.)or sham stimulation,and the experimental group was supplemented with neuromodulation technology on the basis of the control group.The quality of the included studies was evaluated using the PEDro scale and the deviation risk assessment tool recommended by the Cochrane Collaboration.RevMan 5.4 and Stata 17.0 were used for network meta-analysis of the four outcomes(sleep disorders,anxiety symptoms,depressive symptoms,and quality of life).RESULTS:(1)Twenty-nine randomized controlled trials involving six neuromodulation stimulation modalities were included.These modalities were transcranial direct current stimulation,high-frequency repetitive transcranial magnetic stimulation,low-frequency repetitive transcranial magnetic stimulation,deep brain stimulation of the subthalamic nucleus,deep brain stimulation of the globus pallidus,multi-target deep brain stimulation.(2)The results of network meta-analysis showed that compared with conventional treatment,transcranial direct current stimulation[standardized mean difference(SMD)=-2.57,95％confidence interval(CI)=-4.52 to-0.63,P＜0.05)had the best effect in improving sleep disorders in patients with Parkinson's disease.In terms of improving depressive symptoms,deep brain stimulation of the globus pallidus(SMD=-1.00,95％CI=-1.87 to-0.14,P＜0.05)had the best effect,followed by low-frequency repetitive transcranial magnetic stimulation(SMD=-0.91,95％CI=-1.60 to-0.23,P＜0.05),deep brain stimulation of the subthalamic nucleus(SMD=-0.82,95％CI=-1.56 to-0.08,P＜0.05),and high-frequency repetitive transcranial magnetic stimulation(SMD=-0.75,95％CI=-0.97 to-0.53,P＜0.05).In terms of improving anxiety symptoms,high-frequency repetitive transcranial magnetic stimulation(SMD=-0.86,95％CI=-1.54 to-0.18,P＜0.05)had the best effect.In terms of improving the quality of life,deep brain stimulation of the globus pallidus(SMD=-0.79,95％CI=-1.55 to-0.04,P＜0.05)had the best efficacy,followed by high-frequency repetitive transcranial magnetic stimulation(SMD=-0.63,95％CI=-0.90 to-0.36,P＜0.05)and transcranial direct current stimulation(SMD=-0.50,95％CI=-0.80 to-0.19,P＜0.05).CONCLUSION:Neuromodulation technology has significant efficacy in improving non-motor symptoms in patients with Parkinson's disease.Transcranial direct current stimulation has the best efficacy in improving sleep disorders,deep electrical stimulation of the medial cerebral part of the globus pallidus has the best efficacy in improving depressive symptoms,high-frequency repetitive transcranial magnetic stimulation has the best efficacy in improving anxiety symptoms,and deep electrical stimulation of the globus pallidus has the best efficacy in improving quality of life.

This paper summarizes Professor WANG Yaoxian's experience in treating diabetic kidney disease （DKD） from the perspective of spleen and stomach based on the "internal heat leading to concretions" theory. It is considered that internal heat leading to concretions constitutes the core pathogenesis of DKD， with the spleen and stomach serving as the source of internal heat； therefore， treatment should be based on regulating the spleen and stomach. In the early stage of DKD， dysfunction of the spleen and stomach leads to the initial generation of internal heat. Common syndrome patterns include gastrointestinal heat accumulation and constrained heat in the liver and stomach， for which modified Gegen Qinlian Decoction （葛根芩连汤） can be used to clear heat bind while modified Dachaihu Decoction （大柴胡汤） is used to clear stomach and soothe liver， respectively. In the middle stage of DKD， weakness of the spleen and stomach results in the initial formation of concretions and conglomerations. Common patterns include spleen deficiency with prevalence of dampness and deficiency of both the spleen and kidney. Treatment emphasizes strengthening the spleen and resolving dampness， raising yang and boosting the stomach with modified Shengyang Yiwei Decoction （升阳益胃汤）， or supplementing spleen and boosting kidney， dissipating bind and dispe-ring concretions with modified Shenqi Dihuang Decoction （参芪地黄汤）， respectively. In the late stage of DKD， it is characterized by spleen and stomach depletion， and rampant accumulation of turbidity and toxin， and the common syndrome patterns are damp-turbidity obstruction in the middle jiao （焦） and spleen-kidney yang deficiency. Treatment aims to remove turbidity and harmonize the stomach， or to warm the kidney and strengthen the spleen while elimina-ting turbidity， using modified Dahuang Gancao Decoction（大黄甘草汤） and Jupi Zhuru Decoction （橘皮竹茹汤） or modified Baoyuan Decoction （保元汤） and Lizhong Decoction （理中汤）， respectively. In clinical practice， appropriate formulas and medications are flexibly selected according to specific syndromes.

Avian coccidiosis, an acute parasitic disease that mainly harms chicks, is widely prevalent across the world, which poses a serious threat to poultry industry. Because of the single prophylactic formulations, veterinary clinical treatment of coccidiosis mainly relies on chemically synthesized agents, polyether ionophores and Chinese herbal medicines. The introduction of novel anticoccidial drugs is slow for a long period of time, and there is an increasing problem of anticoccidial drug resistance following long-term use, which has become an urgent problem to be solved in poultry industry. This review summarizes the levels of anticoccidial drug resistance across China from 2018 to 2023, and analyzes the resistance to various anticoccidial agents in coccidia. It is indicated that the overall prevalence of anticoccidial drug resistance is high in coccidia, and development of novel anticoccidial agents and products with reduced antibiotics use and alternatives of antibiotics is of an urgent need.

The Chinese Pharmacopoeia is the legal technical standard which should be followed during the research, production, use, and administration of drugs. At present, the new edition of the Chinese Pharmacopoeia is planned to be promulgated and implemented. This article summarizes and analyzes the main characteristics and the content of updates and amendments of the Chinese Pharmacopoeia 2025 Edition(Volume Ⅰ), to provide a reference for the correct understanding and accurate implementation the new edition of the pharmacopoeia.

BACKGROUND:Cervical disc herniation can cause pain in the neck and shoulder area,as well as radiating pain in the upper limbs.The incidence rate is increasing year by year and tends to affect younger individuals.Fully understanding the biomechanical characteristics of the cervical spine in adolescents is of great significance for preventing and delaying the onset of cervical disc herniation in this age group. OBJECTIVE:To reconstruct cervical spine models for both healthy adolescents and adolescent patients with cervical disc herniation utilizing finite element analysis techniques,to analyze the motion range of the C1-T1 cervical vertebrae as well as the biomechanical characteristics of the annulus fibrosus,nucleus pulposus,endplates,and the cartilage of the small joints. METHODS:A normal adolescent's cervical spine and an adolescent patient with cervical disc herniation were selected in this study.The continuous scan cervical spine CT raw image data were imported into Mimics 21.0 in DICOM format.The C1-T1 vertebrae were reconstructed separately.Subsequently,the established models were imported into the 3-Matic software for disc reconstruction.The perfected models were then imported into Hypermesh software for meshing of the vertebrae,nucleus pulposus,annulus fibrosus,and ligaments,creating valid geometric models.After assigning material properties,the final models were imported into ABAQUS software to observe the joint motion range of the C1-C7 cervical vertebrae segments under different conditions,and to analyze the biomechanical characteristics of the annulus fibrosus,nucleus pulposus,endplates,and small joint cartilage of each cervical spine segment. RESULTS AND CONCLUSION:(1)In six different conditions,the joint motion range of the C1 vertebra in the cervical spine models of both normal adolescent and adolescent patient with cervical disc herniation was higher than that of the other vertebrae.Additionally,the joint motion range of each cervical spine segment in normal adolescent was greater than that in adolescent patient with cervical disc herniation.(2)In the cervical spine model of normal adolescent,the maximum stress values in the annulus fibrosus and nucleus pulposus were found on the left side during C2-3 flexion conditions(0.43 MPa and 0.17 MPa,respectively).In the cervical spine model of adolescent patient with cervical disc herniation,the maximum stress values were found on the left side during C7-T1 flexion conditions(0.54 MPa and 0.18 MPa,respectively).(3)In the cervical spine model of normal adolescent,the maximum stress value on the endplate was found on the left side of the upper endplate of C3 during flexion conditions(1.46 MPa).In the model of adolescent patient with cervical disc herniation,the maximum stress value on the endplate was found on the left side of the lower endplate of C7 during flexion conditions(1.32 MPa).(4)In the cervical spine model of normal adolescent,the maximum stress value in the small joint cartilage was found in the C2-3 left rotation conditions(0.98 MPa).In adolescent patient with cervical disc herniation,the stress in the small joint cartilage significantly increased under different conditions,especially in C1-2,with the maximum stress found during left flexion(3.50 MPa).(5)It is concluded that compared to normal adolescent,adolescent patient with cervical disc herniation exhibits altered cervical curvature and a decrease in overall joint motion range in the cervical spine.In adolescent with cervical disc herniation,there is a significant increase in stress on the annulus fibrosus,nucleus pulposus,and endplates in the C7-T1 segment.The stress on the left articular cartilage of the C1-2 is notable.Abnormal cervical curvature may be the primary factor causing these stress changes.