ObjectiveTo investigate the effects of Chaihu Jia Longgu Mulitang（CJLM） on depression-like behaviors and neuroinflammation in rats subjected to social isolation combined with chronic unpredictable mild stress（CUMS）， and to explore the potential underlying mechanisms. MethodsSixty male SD rats were randomly divided into a normal group， a model group， and low-， medium-， and high-dose CJLM groups（2.89， 5.78， 11.56 g·kg^-1）， as well as a fluoxetine group（10 mg·kg^-1）. Except for the normal group， all other groups were subjected to social isolation combined with CUMS for 63 d. During the first 35 d， depression models were established only， and from day 36 onward， modeling and drug administration were conducted simultaneously for a total intervention period of 28 d. Depression-like behaviors were evaluated using the sucrose preference test， open-field test， and forced swimming test. Hematoxylin-eosin（HE） staining was performed to observe hippocampal histomorphology. Immunohistochemistry（IHC） was used to detect the expression levels of ionized calcium-binding adapter molecule 1（Iba1） and gasdermin D（GSDMD） proteins in the hippocampus. Western blot analysis was employed to determine the protein expression levels of adenosine 5′-monophosphate（AMP）-activated protein kinase（AMPK） and phosphorylated（p）-AMPK， silent information regulator 1（SIRT1）， nuclear factor-κB（NF-κB） and p-NF-κB， NOD-like receptor protein 3（NLRP3）， and Caspase-1 in the hippocampus. Real-time quantitative polymerase chain reaction（Real-time PCR） was used to detect the mRNA expression levels of tumor necrosis factor-α（TNF-α）， interleukin（IL）-6， and IL-1β in the hippocampus. ResultsCompared with the normal group， the model group showed a decreased sucrose preference rate（P<0.01）， reduced total movement distance（P<0.01）， prolonged immobility time（P<0.01）， and decreased central zone residence time（P<0.01） in the open-field test， and increased immobility time in the forced swimming test（P<0.01）. Hippocampal neuronal structure was damaged. The contents of Iba1 and GSDMD in the hippocampus were significantly increased（P<0.01）. The protein expression levels of p-AMPK and SIRT1 in the hippocampus were significantly decreased（P<0.01）， whereas the protein expression levels of p-NF-κB， NLRP3， and Caspase-1 were significantly increased（P<0.01）. The mRNA expression levels of IL-1β， IL-6， and TNF-α in the hippocampus were significantly upregulated（P<0.01）. Compared with the model group， the low-， medium-， and high-dose CJLM groups and the fluoxetine group all were able to reverse depression-like behavioral changes， as evidenced by increased sucrose preference rate， increased total movement distance with shortened immobility time in the open-field test， prolonged central zone residence time， and reduced immobility time in the forced swimming test（P<0.05， P<0.01）. Meanwhile， hippocampal neuronal structural damage was alleviated. In the hippocampus， the expression levels of Iba1 and GSDMD were downregulated， the expression levels of p-AMPK and SIRT1 were upregulated， and the abnormal elevations of p-NF-κB， NLRP3， Caspase-1， as well as IL-1β， IL-6， and TNF-α mRNA were suppressed（P<0.05， P<0.01）. ConclusionCJLM can ameliorate depression-like behaviors in rats subjected to social isolation combined with CUMS and attenuate hippocampal neuroinflammation and pyroptosis， suggesting that its effects may be associated with the regulation of AMPK/SIRT1/NF-κB/NLRP3 signaling pathway.

The inflammatory microenvironment is closely associated with the initiation and progression of osteoarthritis （OA）， specifically manifesting as macrophage activation， dysregulation of inflammatory cytokines， and redox imbalance. Following an overview of the pathological characteristics of the OA inflammatory microenvironment， this paper reviews the research progress on the mechanism of traditional Chinese medicine （TCM） intervening in OA by modulating the inflammatory microenvironment. It has been found that TCM monomers/active ingredients （such as total alkaloids from Strychnos nux-vomica ， quercetin， triptolide， etc.）， herb pairs （e.g. Angelica pubescens - Gentiana macrophylla ， Carthami Flos-Lycopodii Herba）， and TCM formulas （such as Zhuanggu jianxi formula， Duhuo jisheng decoction and Rongjin niantong formula， etc.） can inhibit macrophage activation， reduce the release of proinflammatory cytokines and the generation of reactive oxygen species by inhibiting multiple signaling pathways， including nuclear factor-κB， Wnt/ β -catenin， and mitogen-activated protein kinase， thereby alleviating the articular inflammatory microenvironment， restoring local joint homeostasis， and slowing the progression of OA.

The existing epilepsy seizure detection algorithms have problems such as overfitting and poor generalization ability due to high reliance on manual labeling of electroencephalogram's data and data imbalance between seizure and interictal periods. An unsupervised learning detection method for epileptic seizure that jointed graph attention network (GAT) and Transformer framework (GAT-T) was proposed. In this method, channel correlations were adaptively learned by GAT encoder. Temporal information was captured by one-dimensional convolution decoder. Combining outputs of the two mentioned above, predicted values for electroencephalogram were generated. The collective anomaly score was calculated and the detection threshold was determined. The results demonstrated that GAT-T achieved the average performance exceeding 90% (or 99%) with a 0.25 s (or 2 s) time segment length, which could effectively detect epileptic seizures. Moreover, the channel association probability matrix was expected to assist clinicians in the initial screening of the epileptogenic zone, and ablation experiments also reflected the significance of each module in GAT-T. This study may assist clinicians in making more accurate diagnostic and therapeutic decisions for epilepsy patients.
Humans ; Electroencephalography/methods* ; Epilepsy/physiopathology* ; Algorithms ; Seizures/physiopathology* ; Neural Networks, Computer ; Signal Processing, Computer-Assisted

Gout significantly impacts both physical health and quality of life,while current pharmacological treatments face notable limitations.TCM non-pharmacological therapies have shown promising potential in the management of gout,offering diverse approaches with favorable efficacy.This article summarized the characteristics,clinical efficacy and mechanisms of different TCM non-pharmacological therapies for treating gout.Recent studies suggest that these therapies may be applied across all clinical stages of gout.During the acute phase,they can rapidly reduce joint inflammation and relieve pain.In the intercritical phase,they help prevent recurrence,decrease the frequency of attacks,and shorten episode duration.In the chronic tophaceous phase,they alleviate persistent symptoms,improve joint function,and support minimally invasive tophi removal.TCM non-pharmacological therapies have their own characteristics and good safety,and can be combined for clinical use,providing TCM treatment strategies for gout.

Rare diseases pose significant diagnostic and therapeutic challenges,carrying a high disease burden,their management critically reflects a nation's public health resilience.Currently,China faces key challenges such as scarce treatments,fragmented services,and low drug accessibility in rare disease care,which urgently require systemic solutions.Digital-intelligent technology as a key breakthrough are expected to resolve the challenges in this field.Although its application in the field of rare diseases is gradually expanding,there is a lack of systematic compilation of studies to elucidate how to precisely enhance the precision,synergy and sustainability of diagnosis and treatment.The key challenges in rare disease care concentrate in four areas:inefficiency in prenatal screening,uneven distribution of medical resources,low efficiency in social organization collaboration,and ineffective information dissemination.The"4C"strategy,based on digital-intelligent technology,can address these issues:①coordination,boost prenatal screening awareness and capacity via digital-intelligent platforms to strengthen prevention;②cooperation,deepen collaboration within specialist networks,empowering institutions to enhance diagnostic capacity;③co-creation,empower support organizations to optimize resources,efficiency;④cognition,minimize information dissipation through efficient platforms,improving patient and family quality of life.This establishes an integrated digital-intelligent rare disease model encompassing"screening-diagnosis-treatment-care".

Objective To explore the mechanism of GS-9620 in improving imiquimod(IMQ)-induced psoriasis-like inflammation by regulating the Th1/Th17-related immune response,and to investigate its regulatory effect on the gut microbiota in mice.Methods An IMQ-induced psoriasis-like inflammation model was established in BALB/c mice.The severity of the skin lesions was evaluated by psoriasis area and severity index(PASI)score.The proportions of CD4+interleukin(IL)-17+and CD4+interferon(IFN)-γ+cells in spleen tissue were detected by flow cytometry.Levels of the inflammatory factors tumor necrosis factor(TNF)-α,IL-1β,and IL-6 in skin tissues were determined by enzyme-linked immunosorbent assay,and pathological analysis was performed by hematoxylin/eosin staining.The effects of GS-9620 on the structure of the gut microbiota in control,IMQ model,and GS-9620-treated mice were detected by 16S rRNA sequencing.Results GS-9620 significantly reduced the PASI score in IMQ-induced mice and effectively reduced the proportions of CD4+IL-17+and CD4+IFN-γ+cells in the spleen.GS-9620 also significantly down-regulated the expression levels of TNF-α,IL-1β,and IL-6 in skin tissues.16S rRNA sequencing showed that GS-9620 significantly regulated the abundance of gut microbiota related to inflammation,including the relative abundances of bacteria such as Lachnospiraceae_NK4A136_group,Lachnospiraceae_UCG-008,Alloprevotella,Desulfovibrio,Prevotellaceae_UCG-001,and Alistipes.Conclusions GS-9620 effectively alleviates IMQ-induced psoriasis-like skin inflammation in mice by regulating the expression of Th1/Th17-related inflammatory factors.It may also improve IMQ-induced clinical symptoms by regulating the structure of the gut microbiota,thus providing a new theoretical basis for the treatment of psoriasis.The result of this study provide important experimental evidence to support further investigations into the application of GS-9620 for the treatment of psoriasis.

A novel epileptic seizure prediction prediction model based on multichannel temporal and spatial feature extractions is presented.The model applies Stockwell transform to the original multichannel electroencephalogram(EEG)signals for extracting time-frequency components.To address the issue of insignificant difference between preseizure and interseizure time-frequency features,an adaptive feature module composing of ConvNeXt,SENet and pyramid pooling module is designed to enhance the ability of capturing key time-frequency features in each EEG channel.Meanwhile,a prediction model based on Bi-NLSTM is constructed to improve the spatiotemporal dependence between the time-frequency features of multichannel high-order EEG for further promoting the epilepsy classification performance.On the CHB-MIT dataset,the model has an accuracy,sensitivity,specificity and AUC of 96.0%,97.8%,96.8%and 0.987,respectively,and the false positive rate per hour decreased to 0.038,outperforming the existing mainstream methods.In addition,the effect of each component on the model performance is verified by ablation study.The proposed method improves the overall performance for seizure prediction effectively by optimizing local time-frequency feature extraction and enhancing multichannel spatiotemporal dependence.

Objective:To construct a stable oral squamous cell carinoma(OSCC)cell line overexpressing miR-181a-5p,and to ob-serve the effects of miR-181a-5p on the biological behavior of the cells.Methods:miR-181a-5p lentivirus and the control virus vec-tor were respectively constructed and respectively transfected into OSCC CAL-27 cells.The stablely transfected cells(OE)and con-trol cells(NC)were screened out by purinomycin.The fluorescence of the cells was observed by laser confocal microscopy.The ex-pression of miR-181a-5p and Bcl-2 was detected by qRT-PCR and the expression of target protein Bcl-2 was detected by Western blot.The invasion,migration and proliferation ability of the cells were detected by cell scratch,Transwell assay and clonal formation assay.qRT-PCR was used to detect the expression of the related genes of cell invasion and migration.Results:It was found that the expression level of miR-181a-5p in OE cells was significantly higher than that in NC and untransfected control cells(P＜0.01).The expression of Bcl-2 in OE cells was significantly decreased.The invasion,migration and proliferation of OE cells were decreased.In ad-dition,the expression levels of MMP2,MMP9,Vimentin and Ki67 in OE cells were decreased,while E-cadherin was increased(P＜0.01).Conclusion:Overexpression of miR-181a-5p can significantly inhibit the proliferation,invasion and migration OSCC cells.

The literature on the characteristics, commodity grade specifications and chemical composition of Angelicae Sinensis Radix was reviewed. It was found that the main factors affecting the changes of traits and chemical composition of Angelicae Sinensis Radix included origin, altitude, climate, soil, cultivation methods, processing and processing methods and storage methods. Among them, the volatile oil types and ferulic acid content of Angelicae Sinensis Radix produced in Minxian County of Gansu Province were better than those in some non-authentic producing areas, but some component differences remained to be verified; direct seeding and film mulching cultivation could improve the yield, volatile oil and polysaccharide content of Angelicae Sinensis Radix; continuous cropping may lead to rhizosphere soil problems of Angelicae Sinensis Radix, and rotation or intercropping could be considered; drying in the shade and smoking drying could retain the oil and aroma of Angelicae Sinensis Radix; wine stir-frying method could increase the content of Z-ligustilide, but stir-frying carbon may reduce the content of ferulic acid; high temperature and high humidity storage may affect the content of ligustilide. In the future, the quality evaluation system of Angelicae Sinensis Radix should be strengthened and improved, genuine research should be strengthened, and scientific field management methods and appropriate harvesting and processing methods should be established, so as to ensure the good clinical efficacy and stable and controllable quality of Angelicae Sinensis Radix.

Objective To study the distribution characteristics of TCM constitutions in the middle-aged and elderly Mongolian population undergoing physical examinations in Inner Mongolia;To analyze the correlation with related risk factors.Methods Health information and related risk factors(including BMI index,lifestyle habits,dietary habits and exercise status)of middle-aged and elderly Mongolian people who visited the physical examination departments of Inner Mongolia Autonomous Region Traditional Chinese Medicine Hospital and Tongliao City Traditional Chinese Medicine Hospital from March 2024 to April 2024 were collected.A total of 213 Mongolian people were surveyed,including 65 people who have lived in Hohhot for more than 2 years and 148 people who have lived in Tongliao for more than 2 years.Through investigation,research and analysis,the distribution characteristics of TCM constitutions in the population and its correlation with related risk factors were observed.Results Constitution distribution:101 people(47.41%)had a moderate constitution.Among the biased constitutions,the phlegm dampness constitution had the highest number of people(64 people,30.05%),with the blood deficiency constitution having the lowest number of people(2 people,0.94%).In the investigation of related risk factors,there was a significant correlation(P<0.01)between phlegm dampness and dietary habits and reduced exercise volume.Moreover,individuals with this constitution tend to have good sleep,reduced physical activity,faster eating and a diet primarily consisting of high-calorie foods(P<0.05).Conclusion The TCM constitution of the Mongolian population in Inner Mongolia is mostly composed of moderate constitution,while the biased constitution is mostly composed of phlegm dampness constitution,which is mainly related to dietary habits and reduced exercise volume.