ObjectiveTo establish a high-performance liquid chromatography（HPLC） for the quantitative analysis of multiple components in Gegen Qinlian tablets， and to comprehensively evaluate the quality of samples from different manufacturers by integrating chemical pattern recognition and technique for order preference by similarity to ideal solution（TOPSIS）， in order to provide a reference basis for quality evaluation and control of Gegen Qinlian tablets. MethodsHPLC was employed to determine the contents of 10 components in 28 batches of Gegen Qinlian tablets collected from 6 manufacturers， and taking the detection results as variables， SIMCA 14.1 and SPSS 26.0 were employed for cluster analysis（CA）， principal component analysis（PCA）， and orthogonal partial least squares-discriminant analysis（OPLS-DA） to identify key components affecting the quality. Then， TOPSIS analysis was employed to rank the quality of Gegen Qinlian tablets from the 6 manufacturers and establish a comprehensive quality evaluation method. ResultsA quantitative method for Gegen Qinlian tablets was established. After methodological validation， the method was found to be stable and reliable， and could be used for the quantitative analysis of this preparation. The contents of 3′-hydroxy puerarin， puerarin， 3′-methoxy puerarin， daidzein， coptisine hydrochloride， epiberberine， jatrorrhizine hydrochloride， berberine hydrochloride， palmatine hydrochloride and baicalin in 28 batches of samples were 3.58-7.35， 24.88-42.32， 4.20-9.36， 4.33-7.60， 2.52-6.44， 0.93-4.10， 0.58-3.05， 10.68-22.92， 0.82-4.82， 11.73-60.16 mg·g^-1， respectively. Among them， puerarin， berberine hydrochloride and baicalin all met the limit requirements for this preparation specified in the 2025 edition of the Pharmacopoeia of the People's Republic of China. CA and PCA clustered the 28 batches of samples into 5 categories， PCA extracted 2 principal components with a cumulative variance contribution rate of 90.588%， and OPLS-DA screened out 4 differential markers with variable importance in the projection（VIP） values>1.0， namely baicalin， 3′-hydroxy puerarin， coptisine hydrochloride and palmatine hydrochloride， which might be the main components affecting the quality of Gegen Qinlian tablets. TOPSIS analysis showed that the comprehensive score of each evaluation index（C_i） values of different manufacturers were different. Among them， the C_i of manufacturer B was ranked higher， indicating potentially superior quality， while the C_i of manufacturer A was ranked lower， suggesting potentially inferior quality. ConclusionThis study establishes a quantitative method for Gegen Qinlian tablets， and the content uniformity of the same manufacturer is good， while there are differences in the contents of active components among different manufacturers. Through the chemical pattern recognition analysis， it is found that the content differences of Gegen Qinlian tablets may be related to baicalin， 3′-hydroxy puerarin， coptisine hydrochloride and palmatine hydrochloride.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective To develop a data-driven model for estimating tangential ground reaction force(GRFt)from lower limb kinematic data and select the most suitable input based on a balance between input quantity and estimation accuracy,with the aim of measuring GRFt in outdoor gait experiments.Methods Gait data from ten subjects walking at five different inclines(-10°,-5°,0°,5°,10°)were used to train two data-driven models,namely a backpropagation neural network(BPNN)-based model and a polynomial sparse identification(PSI)-based model.The performance of these models was evaluated using eight kinematic data combinations and the normal ground reaction force(GRFn)as inputs to determine the optimal model and input combination.Results Under the same input dimensionality,the combination of hip-knee joint angles proved more accurate in estimating GRF,than the knee-ankle joint angle combination.Specifically,the BPNN and PSI models based on the former combination predicted GRF,with errors of 1.61％BW(body weight)and 1.84％BW,respectively,while the latter combination resulted in errors of 2.82％BW and 3.15％BW.When GRFn and all joint angles were used as inputs,the model's prediction error was only 1.46％BW.Conclusions The combination of GRFn and hip-knee joint angles achieves an optimal balance between computational complexity and estimation accuracy.This study supports the accurate estimation of GRF,in outdoor gait testing.

Objective To compare and analyze the application value of brain black blood technology three-dimensional BrainVIEW(3D-BrainVIEW)and conventional three-dimensional turbo field echo T1 weighted imaging(3D-TFE T1WI)in brain metastases of lung cancer.Methods A total of 60 patients with pathologically confirmed lung cancer were selected.All patients underwent brain enhanced MRI using 3D-BrainVIEW and 3D-TFE T1WI.The signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of the two groups were compared and analyzed,respectively.The diagnostic efficacy(including number,size,and location)of the two groups of images in detecting brain metastases was evaluated by two experienced radiologists via double-blind method.Results The diagnostic consistency between the two radiologists was excellent[intraclass correlation coefficient(ICC)=0.998,P<0.001].There were significant differences in SNR,CNR,and the number and location of brain metastases between 3D-BrainVIEW sequence and 3D-TFE T1WI sequence(P<0.05),and 3D-BrainVIEW sequence was significantly superior to 3D-TFE T1WI sequence.In addition,the number of brain metastases detected by 3D-Brain VIEW sequence was significantly higher than that detected by 3D-TFE T1WI sequence in lesions with minimum diameter(Dmin)<5 mm(P<0.001).There was no difference in the number of lesions detected by the two sequences in lesions with Dmin>5 mm(P>0.05).Conclusion The SNR and CNR of 3D-Brain VIEW enhanced scan images are significantly higher than those of 3D-TFE T1WI,which has higher detection efficiency for lung cancer brain metastases,and can effectively reduce misdiagnosis caused by microvascular enhance-ment,which has high clinical application value.

Objective:To explore the clinical application value of artificial intelligence models in identifying bleeding events and hemorrhagic points during laparoscopic pancreatic surgery.Methods:This single-center retrospective cohort study collected surgical videos of 25 patients undergoing laparoscopic pancreatic surgery at the Department of General Surgery, Peking Union Medical College Hospital from January 2022 to December 2024. Videos within 5 seconds before and after representative bleeding events were captured at 30 frames/s, with 11 666 hemorrhagic-related video frames annotated. Two algorithm models were developed: a pigment-based model and a pigment+optical flow-based model for classification and target recognition of bleeding frames. The training and test sets for the pigment-based algorithm contained 4 692 hemorrhagic and 4 309 non-hemorrhagic frames, while those for the pigment+optical flow model included 1 339 hemorrhagic and 1 326 non-hemorrhagic frames. Performance evaluation was conducted using overlap thresholds, with accuracy and recall rates as key metrics.Results:The pigment-based model achieved 93.8% accuracy (134/143) and 43.3% recall (134/310) in hemorrhagic frame classification. At an overlap threshold of 0.3, the pigment-based model showed 84.1% accuracy (433/515) and 85.4% recall (433/507) in target recognition. When the threshold was increased to 0.5, the pigment+optical flow model demonstrated 88.1% accuracy (354/402) and 89.2% recall (354/397) in hemorrhagic target recognition.Conclusions:It is difficult to distinguish active bleeding from old bleeding completely by pigment information alone. The spatio-temporal features can be effectively extracted by combining pigment and optical flow information, and the bleeding can be accurately identified and located, which has potential clinical application value.

BACKGROUND:In recent years,brain-computer interface technology has shown significant promise for rehabilitating limb dysfunction in stroke patients.With ongoing research deepening and its broader clinical application,combining brain-computer interface with other rehabilitation therapies to improve limb function has become a focal point of study.OBJECTIVE:To analyze and summarize the efficacy of brain-computer interface combined with various therapies in treating limb dysfunction in stroke patients and to explore the clinical value of these combined strategies.METHODS:The search terms used for the literature review in Chinese databases were"brain-computer interface,BCI,stroke,"while the terms"brain-computer interface,BCI,brain-computer interaction,brain-machine interface,BMI,stroke"were used for English databases.Literature searches were conducted in CNKI,WanFang,VIP,PubMed,Embase,and Web of Science,from the time of database construction to September 2024.Finally,a total of 3 054 articles were retrieved,and 75 articles were included after screening for summarization.RESULTS AND CONCLUSION:Currently,brain-computer interfaces,used alone or in combination with other treatments such as Chinese medical treatment,conventional rehabilitation therapy,or physical factor therapy,are achieving better outcomes in treating limb dysfunction in stroke patients.However,the efficacy of brain-computer interfaces combined with transcranial direct current stimulation for treating upper and lower limb dysfunctions is still debated.Researchers are increasingly recognizing the feasibility of these combined therapies.Yet,challenges such as limited exploration of therapeutic mechanisms,absence of standardized protocols,and small sample sizes hinder their broad application.Future research should therefore focus on understanding the mechanisms by which brain-computer interfaces can enhance effects when combined with other therapies and on standardizing criteria for clinical trials to enable widespread clinical adoption.

BACKGROUND:During bone tissue healing,promoting the vascularization of new bone is a common strategy to accelerate the repair of bone tissue.However,the rapid fibrosis process during bone defect repair is often ignored.OBJECTIVE:To design and prepare a core-shell structure bionic scaffold to regulate the process of fibrosis and vascularization in new callus,characterize physical characteristics of the scaffold,and verify the anti-fibrosis and osteogenic properties in vitro and in vivo.METHODS:A core-shell structure bionic scaffold to regulate the process of fibrosis and vascularization in new callus was designed and prepared.The outer shell structure of the scaffold was composed of polycaprolactone electrospun nanofibers loaded with fibroblast activating protein inhibitor;and the inner core structure was composed of gelatin methacrylate hydrogel loaded with deferoxamine.The physical characteristics of electrospun and hydrogel were characterized,and the biocompatibility of the material was verified by live-dead staining and CCK-8 assay.The antifibrotic effect of core-shell structure was analyzed by fibroblast in vitro assay.The osteogenic effect of fibroblast activating protein inhibitor in core-shell structure was analyzed by MC3T3-E1 cells in vitro assay.The vasogenic effect of deferoxamine in core-shell structure was analyzed by human umbilical vein endothelial cells.The effect of bionic core-shell scaffold on bone repair was evaluated by critical bone defect test in rats.RESULTS AND CONCLUSION:(1)The core-shell structure bionic scaffold had good biocompatibility.Hydrophobic polycaprolactone electrospun fibers prepared by electrospinning technology could effectively block the ingrowth of exogenous fibrous tissue on the physical level.The electrospun fiber membrane could effectively release the anti-fibrosis drug fibroblast activating protein inhibitor within 2 weeks,and the released anti-fibrosis drug could inhibit the growth and adhesion of fibroblasts around bone defects,effectively reduced the expression of fibroblast-related proteins,promoted the expression of osteoblast protein in MC3T3-E1 cells,and accelerated its mineralization rate.The deferoxamine in the core-shell structure could promote the migration and vascular formation ability of human umbilical vein endothelial cells,and promoted their strong expression of"H"vascular characteristic protein.(2)In critical bone defect model of SD rats established in the femur,compared with polycaprolactone membrane,the core-shell structure bionic scaffold could effectively repair bone defects.(3)These findings indicate that the core-shell structure bionic scaffold can prevent excessive fibrosis of callus and promote the formation of"H"vessels in the new callus,which can effectively avoid the occurrence of nonunion and accelerate the repair process of critical bone defect.

BACKGROUND:Cell senescence is one of the major risk factors for osteoarthritis,but there is no widely accepted anti-osteoarthritis therapy targeting senescent cells.OBJECTIVE:To develop a feasible treatment strategy targeting senescent cells in osteoarthritis.METHODS:The cationic liposome containing rapamycin,RAPA@Lipo,was prepared by thin film dispersion method.Methylallylated hyaluronic acid hydrogel was synthesized,and RAPA@Lipo was added to the methylallylated hyaluronic acid hydrogel aqueous phase solution.The hydrogel microspheres were prepared by microfluidic equipment.Solid hydrogel microspheres(RAPA@Lipo@MS)were crosslinked under violet light.Primary human chondrocytes were co-cultured with RAPA@Lipo and RAPA@Lipo@MS,respectively.The biocompatibility of the materials was evaluated by CCK-8 assay and live/dead staining.Primary rat chondrocytes were cultured in four groups.Normal control group was cultured for 48 hours.The model group was stimulated with H2O2 for 24 hours to establish senescent cell model.RAPA@Lipo group and RAPA@Lipo@MS group were cultured for 24 hours after establishing senescent cell model with RAPA@Lipo and RAPA@Lipo@MS,respectively.After culture,immunofluorescence was used to observe the expression of p62 and type Ⅱ collagen.RT-PCR was used to detect the mRNA expression of interleukin 6,matrix metalloproteinase 13,type Ⅱ collagen,aggrecan,and ADAMTS-5.RESULTS AND CONCLUSION:(1)The results of CCK-8 assay and live/dead staining showed that RAPA@Lipo and RAPA@Lipo@MS had good biocompatibility.(2)Compared with the normal control group,the protein expression of p62 was increased(P<0.05);the expression of type Ⅱ collagen was decreased(P<0.05),and the mRNA expression levels of interleukin 6,matrix metalloproteinase 13,and ADAMTS-5 were increased(P<0.05);mRNA expression levels of type Ⅱ collagen and aggrecan were decreased(P<0.05)in the model group.Compared with the model group,the expression of p62 protein was decreased(P<0.05);the expression of type Ⅱ collagen was increased(P<0.05),and the mRNA expression levels of interleukin 6,matrix metalloproteinase 13,and ADAMTS-5 were decreased(P<0.05);mRNA expression of type Ⅱ collagen and aggrecan increased(P<0.05)in the RAPA@Lipo@MS group.(3)These findings indicate that RAPA@Lipo@MS can control the quality of cells in vivo by enhancing autophagy,reduce senescent cells in vivo,and locally eliminate senescent cells and senescence-associated secretory phenotype factors in osteoarthritis,thereby slowing the progression of osteoarthritis and creating a cartilage microenvironment that promotes regeneration.

To understand the current epidemiological status and biological characteristics of avian paramyxoviruses(APMV)in wild birds in China,a total of 1 384 fecal samples of wild birds were collected in eight provinces(autonomous regions),including Ningxia,in 2023,to detect avian pa-ramyxovirus infections by viral isolation and RT-PCR.Positive samples were subjected to F gene sequence amplification and genetic evolutionary analyses.The results showed that 10 strains of APMV were isolated and identified from 1 384 wild bird feces samples with a positive rate of 0.72％.Out of the 10 strains,4 strains were APMV-1,which was in the same branch to the Ameri-can goose APMV-1 strain and had the homology ranging from 93％to 97.3％.Three strains of APMV-4 were in the same branch with the Russian duck APMV-4 strain and the Russian pintail APMV-4 strain,with homology ranging from 99.1％to 99.5％.Three strains were APMV-6,they were in the same branch with the Russian ruddy bladdered duck APMV-6 strain,with homology ranging from 98.7％to 99.20％.The intracerebral inoculatable pathogenicity index(ICPI)of the four strains for 1-day-old chicks ranged from 0 to 0.48,which was low in pathogenicity for chick-ens.The above results enriches the epidemiological information and the biological characteristics of avian paramyxovirus in wild birds in China,which provides a reference for the early warning,scien-tific prevention and control of this disease.

BACKGROUND:In recent years,brain-computer interface technology has shown significant promise for rehabilitating limb dysfunction in stroke patients.With ongoing research deepening and its broader clinical application,combining brain-computer interface with other rehabilitation therapies to improve limb function has become a focal point of study.OBJECTIVE:To analyze and summarize the efficacy of brain-computer interface combined with various therapies in treating limb dysfunction in stroke patients and to explore the clinical value of these combined strategies.METHODS:The search terms used for the literature review in Chinese databases were"brain-computer interface,BCI,stroke,"while the terms"brain-computer interface,BCI,brain-computer interaction,brain-machine interface,BMI,stroke"were used for English databases.Literature searches were conducted in CNKI,WanFang,VIP,PubMed,Embase,and Web of Science,from the time of database construction to September 2024.Finally,a total of 3 054 articles were retrieved,and 75 articles were included after screening for summarization.RESULTS AND CONCLUSION:Currently,brain-computer interfaces,used alone or in combination with other treatments such as Chinese medical treatment,conventional rehabilitation therapy,or physical factor therapy,are achieving better outcomes in treating limb dysfunction in stroke patients.However,the efficacy of brain-computer interfaces combined with transcranial direct current stimulation for treating upper and lower limb dysfunctions is still debated.Researchers are increasingly recognizing the feasibility of these combined therapies.Yet,challenges such as limited exploration of therapeutic mechanisms,absence of standardized protocols,and small sample sizes hinder their broad application.Future research should therefore focus on understanding the mechanisms by which brain-computer interfaces can enhance effects when combined with other therapies and on standardizing criteria for clinical trials to enable widespread clinical adoption.