1.Pathogenesis Evolution and Stage-based Treatment of Gout: An Exploration Based on Theory of ''Endogenous Dampness Leading to Bi Syndrome''
Yingjie ZHANG ; Fan YANG ; Ruifang YANG ; Zhuoming ZHENG ; Siwei PENG ; Yan XIAO ; Peng CHEN ; Youxin SU ; Jiemei GUO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(7):74-83
Gout is a crystal-associated arthropathy caused by the deposition of monosodium urate crystals and is closely related to purine metabolic disorders and impaired uric acid excretion. It is clinically characterized by hyperuricemia, recurrent joint swelling and pain, and tophus formation. The disease course is divided into three stages: The hyperuricemia stage, acute attack stage, and chronic gouty arthritis stage. Modern medicine has reached a consensus on its pathology, but traditional Chinese medicine (TCM) lacks a systematic stage-specific understanding of gout pathogenesis and its underlying mechanisms, making it difficult to guide precise syndrome differentiation and treatment. By integrating classical TCM theory, clinical practice, and modern medical understanding, and drawing upon descriptions of Bi syndrome caused by endogenous dampness and turbidity in classical texts such as Huangdi Neijing·Ling Shu and Synopsis of the Golden Chamber, our team proposes the pathogenic concept of gout as ''endogenous dampness leading to Bi syndrome'' and the core pathogenesis of ''spleen deficiency with internal retention of dampness-turbidity''. We systematically elucidate the evolution of pathogenesis across different stages and corresponding therapeutic strategies. This study posits that metabolic byproducts such as urate fall under the category of ''endogenous pathogenic dampness-turbidity''. When genetic or dietary factors lead to metabolic abnormalities, it manifests as ''spleen deficiency with impaired transport and transformation'', resulting in ''internal retention of pathogenic dampness-turbidity''. When damp-turbidity stagnates in the blood vessels, serum uric acid levels rise. When it stagnates in the viscera and limbs, monosodium urate crystals deposit in the joints. Triggered by precipitating factors, this leads to gout attacks—the core pathological process of ''endogenous dampness leading to Bi syndrome''. Based on this theory, the stage-specific pathogenic characteristics of gout are proposed: The hyperuricemia stage is characterized by ''spleen deficiency with impaired transport and transformation, internal retention of pathogenic dampness-turbidity'', the acute attack stage is primarily marked by ''dampness-turbidity and static heat obstructing the limbs and joints'', while the chronic stage is defined by ''spleen deficiency with internal retention of pathogenic dampness-turbidity, intermingled with phlegm-stasis binding''. The treatment principle centers on ''strengthening the spleen and draining dampness'' throughout all stages. During the hyperuricemia stage, treatment focuses on ''strengthening the spleen, draining dampness, and eliminating turbidity''. In the acute attack stage, the treatment should "strengthen the spleen, drain dampness, clear heat, eliminate turbidity, alleviate swelling, and relieve pain''. In the chronic stage, the treatments emphasizes to ''strengthen the spleen, drain dampness, transform turbidity, clear heat, resolve phlegm, and activate blood circulation''. This approach has yielded favorable therapeutic outcomes in clinical practice. This theoretical system clarifies the nature of gout as ''spleen deficiency being the root, dampness-turbidity being the secondary manifestation'' and systematically analyzes its pathogenesis evolution process and characteristics. The constructed stage-based treatment protocol has been validated through clinical and basic research, providing systematic theoretical guidance and a practical framework for the precise TCM management of gout, thereby promoting the modernization of TCM pathogenesis theory related to gout.
2.Analysis of Chronic Gouty Arthritis Animal Models Based on Clinical Characteristics of Traditional Chinese and Western Medicine
Yan XIAO ; Siyuan LIN ; Fan YANG ; Qianglong CHEN ; Xiaohua CHEN ; Meiling WANG ; Zhen ZHANG ; Jiali LUO ; Youxin SU ; Jiemei GUO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(7):84-92
ObjectiveBased on the clinical characteristics of chronic gouty arthritis (CGA) in both traditional Chinese and western medicine, this study aims to systematically evaluate the clinical concordance of existing CGA animal models, providing recommendations for establishing animal models that align with the pathological characteristics of CGA and the manifestations of traditional Chinese medicine syndromes. MethodsBy comprehensively retrieving Chinese and international databases such as China National Knowledge Infrastructure, Wanfang, VIP Chinese Science and Technology Periodical Database (VIP), and PubMed, all relevant literature on CGA animal models was collected. Based on the guidelines, the diagnostic criteria of both traditional Chinese and western medicine were summarized and organized. The evaluation indicators for the CGA model were constructed with reference to existing evaluation modes, and the CGA animal models were analyzed to systematically evaluate the clinical concordance of existing models. ResultsThe current methods used to construct CGA animal models mainly include monosodium urate crystal induction, high-protein diet induction (poultry lack urate oxidase), and high-fat diet combined with urate oxidase inhibitors and joint injection. Based on 11 pieces of included literature, the traditional Chinese and western medicine scoring data of each model were extracted, and the average scoring values of all models were ultimately calculated. The results show that the average clinical concordances of existing CGA animal models in both traditional Chinese and western medicine are 43.33% and 64.44%, respectively. Among them, the model with the highest clinical concordance rate is the one with a high-fat diet combined with potassium oxonate to induce hyperuricemia plus joint injection, achieving 83.33% clinical concordance in western medicine and 60% in traditional Chinese medicine. This model aligns well with the pathogenic characteristics and pathological changes of clinical CGA. ConclusionAlthough current CGA animal models can simulate some pathological characteristics of CGA, they struggle to comprehensively reflect the complex pathological processes of CGA and the characteristics of traditional Chinese medicine syndromes. Therefore, in the future, it is necessary to establish the CGA animal models that incorporate the clinical disease and syndrome characteristics of traditional Chinese and western medicine and formulate the uniform model evaluation criteria, providing more precise tools for CGA mechanism research and the development of traditional Chinese medicine.
3.Mechanism of Huazhuo Sanjie Chubi Presciption in Regulating Macrophage Polarization and Improving Low-grade Inflammation in Rats with Chronic Gouty Arthritis
Yuwan LI ; Yingjie ZHANG ; Siyuan LIN ; Xiaohua CHEN ; Qianglong CHEN ; Fan YANG ; Jun LIU ; Bingyan CHEN ; Peng CHEN ; Jiemei GUO ; Youxin SU ; Yan XIAO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(7):93-104
ObjectiveTo evaluate the therapeutic effect of Huazhuo SanJie Chubi presciption (HSCD) on chronic gouty arthritis (CGA) rats with low-grade inflammation and to explore the underlying mechanism with a focus on macrophage polarization. MethodsThe 41 male 6-week-old SD rats were randomly allocated, using the random number table, to a normal group (n=8) and a model group (n =33). CGA with low-grade inflammation was induced in the model group by daily gavage of potassium oxonate (250 mg·kg-1·d-1) and hypoxanthine (300 mg·kg-1·d-1), combined with intra-articular injection of a monosodium urate (MSU) crystal suspension (50 μL, 25 g·L-¹) into the left ankle twice weekly. After 4 weeks of modeling, 3 rats were randomly selected from each group for model validation. The remaining successfully modeled rats were randomly divided into a model group, an HSCD group (10.35 g·kg-1·d-1, gavage once daily), an M1 polarization agonist group (L-methionine sulfoximine, 300 mg·kg-1, subcutaneous injection every other day), an M1 polarization agonist + HSCD group, an M2 polarization inhibitor group (PD0325901, 10 mg·kg-1·d-1, gavage once daily), and M2 polarization inhibitor + HSCD group. The corresponding drug or drug combination was administered according to group assignment, whereas rats in the normal and model groups received 0.5% carboxymethyl cellulose sodium (CMC-Na) vehicle (10.35 g·kg-1·d-1, gavage once daily). All interventions were continued for four weeks. During the intervention period, except for the normal group, potassium oxonate (250 mg·kg⁻¹) and hypoxanthine (300 mg·kg-1) were co-administered by gavage every other day to maintain the model. At the end of treatment, serum uric acid (SUA), ankle joint diameter and joint swelling index were measured. The levels of high-sensitivity C-reactive protein (hs-CRP), interleukin-1β (IL-1β), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), chemokine C-C motif ligand 2 (CCL2), S100 calcium-binding protein A8/A9 (S100A8/A9), interleukin-10 (IL-10) and arginase-1 (Arg-1) in serum and joint fluid were determined by enzyme-linked immunosorbent assay (ELISA). High-frequency ultrasound was used to assess MSU deposition in the ankle joint. Hematoxylin-eosin (HE) staining was performed to evaluate synovial histopathological changes. Quantitative Real-time PCR and immunofluorescence were used to detect the mRNA and protein expression of the M1 macrophage polarization markers inducible nitric oxide synthase (iNOS) and the M2 macrophage polarization marker scavenger receptor cysteine-rich type 1 protein M130 (CD163) in synovial tissue. ResultsCompared with the normal group, the model group showed significantly elevated SUA level and joint swelling index, and increased levels of pro-inflammatory cytokines, CCL2, and S100A8/A9 in both serum and joint fluid (P<0.05), accompanied by MSU deposition and synovial inflammation in the ankle joint. The mRNA and protein expression levels of macrophage polarization M1/M2 markers iNOS and CD163 in synovial tissues were also significantly up-regulated (P<0.05). Compared with model group, rats in HSCD group had significantly lower SUA levels, attenuated joint swelling, reduced serum levels of pro-inflammatory cytokines, and decreased levels of CCL2 and S100A8/A9 in both serum and joint fluid, accompanied with alleviated MSU deposition and synovial inflammation (P<0.05). HSCD markedly downregulated the mRNA and protein expression of M1 marker iNOS (P<0.05), whereas it had no significant effect on the expression of M2 marker CD163. Compared with the M1 polarization agonist group, the M1 polarization agonist + HSCD group showed significantly reduced joint swelling, lower serum levels of pro-inflammatory cytokines, and decreased levels of CCL2 and S100A8/A9 in joint fluid (P<0.05). In addition, synovial inflammatory cell infiltration and angiogenesis were attenuated, and iNOS mRNA and protein expression levels were significantly reduced (P<0.05). Compared with the M2 polarization inhibitor group, the M2 polarization inhibitor + HSCD group exhibited reduced joint swelling, decreased levels of CCL2 and S100A8/A9 in joint fluid and ameliorated synovial inflammation (P<0.05), whereas the levels of anti-inflammatory mediators (IL-10, Arg-1) and CD163 mRNA and protein expression were not significantly increased. ConclusionHSCD alleviates low-grade inflammation in CGA rats, at least in part, by inhibiting macrophage polarization toward the M1 phenotype.
4.Effect and Action Mechanism of Huazhuo Sanjie Chubi Prescription on Gouty Bone Erosion Model Rats Based on PI3K/Akt Signaling Pathway
Zhuoming ZHENG ; Jun LIU ; Meiling WANG ; Xiaohua CHEN ; Yuwan LI ; Siwei PENG ; Yingjie ZHANG ; Ruifang YANG ; Youxin SU ; Yan XIAO ; Jiemei GUO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(7):105-117
ObjectiveThis paper aims to observe the effect of Huazhuo Sanjie Chubi prescription (HSCD) on the gouty bone erosion model rats and investigate its action mechanism. MethodsThirty-six two-month-old male SD rats were randomly divided into the blank group with nine rats and the modeling group with 27 rats. The rats in the modeling group were administered hypoxanthine solution at 300 mg·kg-1·d-1 and potassium oxonate solution at 250 mg·kg-1·d-1, combined with intra-articular injection of 200 μL monosodium urate (MSU) crystal suspension at 25 g·L-1 into the right ankle joint (joint injection once every three days), so as to induce the gouty bone erosion model. After four weeks of modeling, three rats were selected from these two groups to validate the model. The modeled 24 rats were randomly divided into the model group, HSCD group (10.35 g·kg-1·d-1), allopurinol group (20 mg·kg-1·d-1), and inhibitor group (LY294002, 10 mg·kg-1·d-1), with six rats per group. Except for the blank group, rats in all other groups continued to receive hypoxanthine solution at 300 mg·kg-1 and potassium oxonate solution at 250 mg·kg-1 via gavage concurrently with administration to maintain modeling intervention. The rats in the HSCD group and allopurinol group received administration by gavage at the above doses. The rats in the inhibitor group received an intraperitoneal injection at the above dose. The rats in the blank group and model group received saline (10.35 g·kg-1·d-1) by gavage for four consecutive weeks. After administration, ankle joint swelling of the rats in all groups was observed, and the diameters were measured. Bone volume fraction (BV/TV) and bone surface area to bone volume (BS/BV) were observed and quantitatively analyzed by Micro-CT. Histopathological changes in the ankle joint were observed by hematoxylin-eosin (HE) staining and safranin O-fast green staining. The uric acid in the rats' serum was determined by enzyme colorimetry. The levels of inflammatory factors, including tumor necrosis factor-α (TNF-α), interleukin (IL)-1β, and IL-6 were measured by enzyme-linked immunosorbent assay (ELISA). The protein expressions of receptor activator of nuclear factor-κB ligand (RANKL) and phosphorylated (p)-phosphatidylinositol-3-kinase (PI3K) in ankle joint tissues of rats were detected by immunofluorescence staining. The mRNA levels of the proteins related to the bone erosion, including RANKL, tartrate-resistant acid phosphatase
5.Discussion on "Five Views" Treatment Principles in Traditional Chinese Medicine Orthopedic Rehabilitation
Mingxing SU ; Junning LIU ; Ruifang YANG ; Zhuoming ZHENG ; Yan XIAO ; Peng CHEN ; Youxin SU ; Jiemei GUO
Journal of Traditional Chinese Medicine 2026;67(10):1125-1129
The key to the onset and progression of the functional impairments of orthopedic diseases is imba-lance of deficiency and excess, disharmony of movement and stillness, dislocation of sinews and bones, imbalance of rigidity and flexibility, and disharmony of body and spirit. Based on this, the "five views" treatment principle has been proposed for traditional Chinese medicine (TCM) orthopedic rehabilitation, which include the view of balancing deficiency and excess, combining movement and stillness, focusing on both sinews and bones, integrating rigidity and flexibility, and harmonizing body and spirit. Correspondingly, the "five views" collaborative rehabilitation clinical model is established, providing a reference for enhancing the systematization and targeting of TCM orthopedic rehabilitation.
6.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
7.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
8.Construction and Optimization of Alzheimer's Disease Classification Model Based on Brain Mixed Function Network Topology Parameters and Machine Learning
Xiao-yu HAN ; Xiu-zhu JIA ; Yang LI ; Meng-ying LOU ; Yong-qi NIE ; Xin-ping GUO ; Lu YU ; Zhi-yuan LI ; Lian-zheng SU
Progress in Modern Biomedicine 2025;25(11):1770-1778
Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P<0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7%,and the AUC values were up to 100%,99.5%,99.1%and 99.5%,respectively.The accuracy(98.5%),precision(98.5%),recall(98.5%),and AUC(99.1%)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0%,while Bagging has the lowest AUC value(99.1%)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13%),AUC(99.42%),recall rate(99.46%)and specificity(99.42%)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.
9.Outcomes of transcatheter transseptal mitral valve-in-valve replacement using Edward's SAPIEN 3 in high surgical risk patients-a multicenter study in China
Xiang CHEN ; Bin WANG ; Yi-wei XU ; Xiao-ping PENG ; Fan QIAO ; Xiang-wen LIANG ; Ke HAN ; Xiao-fei JIANG ; Xiang MA ; Wen-yi YANG ; Guo-sheng FU ; Mao-long SU ; Yan WANG
Chinese Journal of Interventional Cardiology 2025;33(2):79-86
Objective To evaluate the safety and efficacy of valve-in-valve transcatheter mitral valve replacement(ViV-TMVR)in patients with bioprosthetic valve degeneration who are at high surgical risk.Methods This study is a multi-center,retrospective cohort analysis of 20 consecutive patients who underwent transseptal ViV-TMVR using the Edwards SAPIEN 3 transcatheter heart valve(THV).The primary endpoints include technical success and procedural success,both defined according to the Mitral Valve Academic Research Consortium(MVARC)criteria,as well as mortality and functional change assessed based on New York Heart Association(NYHA)classification at 30-days and six months post-procedure.Clinical follow-up assessments are conducted at 30-days and six months.Results From February 2021 to October 2022,a total of 20 patients with symptoms of bioprosthetic valve degeneration were enrolled across nine sites in China.The patients had a mean age of(73.5±5.5)years,with 85.0%being females and 70.0%classified as NYHA class Ⅲ/Ⅳ.The study achieved a 100.0%technical success rate and a 90.0%procedural success rate finally.All patients remained alive during the 30-day follow-up period.However,six months post-intervention,two patients(10.0%)were re-hospitalized due to heart failure,and sadly,one of them(5.0%)died.None of the patients reported any adverse events related to ViV-TMVR during the follow-up period.Notably,there was a significant improvement in NYHA class compared to baseline(P=0.0004)at six-month follow-ups.Conclusions The transseptal ViV-TMVR technique proved to be highly successful and was associated with significant improvement in NYHA class function.These findings strongly suggest that it serves as a safe and efficient treatment alternative for high-risk patients suffering from bioprosthetic valve degeneration.
10.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

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