1.Effects and mechanism of short-acting exenatide on improving diabetic cognitive dysfunction
Xin LING ; Deming WANG ; Qi LU ; Jinyue HUANG ; Xian ZHENG ; Xiaona ZHU
China Pharmacy 2026;37(5):589-594
OBJECTIVE To investigate the ameliorative effect and mechanism of short-acting exenatide on diabetic cognitive dysfunction. METHODS Spontaneously diabetic db / db mice were randomly divided into model group (normal saline) and exenatide group (50 μg/kg), with db / m mice as the normal control group (normal saline), with 8 mice in each group. Mice in each group were subcutaneously injected with corresponding drugs or normal saline twice daily for 8 consecutive weeks. Body weight and fasting blood glucose were measured at a fixed time every week. Cognitive function was evaluated by Morris water maze test. The levels of oxidative st ress indicators [malondialdehyde (MDA), superoxide dismutase (SOD), glutathione (GSH) ] , cyclic adenosine monophosphate (cAMP) and protein kinase A (PKA) were detected in hippocampus tissue of mice. The hippocampal neuronal HT22 cells of mice were divided into control group (25 mmol/L glucose), high glucose group (125 mmol/L glucose), high glucose+exenatide group (125 mmol/L glucose+20 nmol/L exenatide), high glucose+exenatide+H89 (PKA inhibitor) group (125 mmol/L glucose+20 nmol/L exenatide+10 μmol/L H89), and high glucose+H89 group (125 mmol/L glucose+10 μmol/L H89). After 48 h of intervention with corresponding solutions/culture medium, the levels of oxidative stress indicators, cAMP and PKA, the activities of mitochondrial respiratory enzymes Ⅱ and Ⅳ, and the phosphorylation level of dynamin-related protein 1 (Drp1) were measured. RESULTS Animal experiments showed that compared with the normal control group, the model group exhibited significantly increased body weight, fasting blood glucose and MDA level in the hippocampus ( P <0.05), as well as significantly prolonged escape latency ( P <0.05); swimming speed significantly slowed down, the time spent in the target quadrant, the number of platform crossings, and the levels of SOD, GSH, cAMP and PKA in the hippocampus were significantly decreased ( P <0.05). Compared with model group, all the above indicators (except for swimming speed) in the exenatide group were significantly reversed ( P <0.05). Cell experiments showed that compared with high glucose group, the high glucose+exenatide group had significantly decreased MDA level ( P <0.05), and significantly increased levels of SOD, GSH, cAMP and PKA, the activities of mitochondrial respiratory enzymes Ⅱ and Ⅳ, and phosphorylation level of Drp1 ( P <0.05). Compared with high glucose+exenatide group, the above indicators in the high glucose+exenatide+H89 group were significantly reversed ( P <0.05). CONCLUSIONS Short-acting exenatide can activate the cAMP/PKA pathway, promote Drp1 phosphorylation, and increase the activities of mitochondrial respiratory enzymes, thereby maintaining mitochondrial stability, reducing oxidative stress injury, and ultimately improving diabetic cognitive dysfunction.
2.Analysis of risk factors for piracetam-associated thrombocytopenia and the establishment of risk prediction model
Tianmin HUANG ; Xingming LU ; Mei ZHENG ; Guizong GUO ; Xin LU ; Yilin LUO ; Yingxia YANG
China Pharmacy 2025;36(10):1226-1231
OBJECTIVE To analyze the risk factors contributing to piracetam-associated thrombocytopenia and develop a predictive model for risk prediction. METHODS The electronic medical record information of inpatients treated with piracetam was collected retrospectively from the First Affiliated Hospital of Guangxi Medical University from January 2021 to December 2023, including gender, age, underlying diseases, combined medication, and laboratory data, etc. Patients were divided into the occurrence group and the non-occurrence group according to whether thrombocytopenia occurred, and the differences in clinical data between the two groups were compared. The independent risk factors were determined through univariate/multivariate Logistic regression analysis. A nomogram was drawn to visually present the independent risk factors, and a risk prediction model was constructed. The predictive efficacy of the model was evaluated using the receiver operating characteristic (ROC) curve, Bootstrap internal validation and calibration curve. RESULTS A total of 224 patients were included, among which 196 cases were in the non- occurrence group and 28 cases in the occurrence group. The incidence of thrombocytopenia was 12.50%. The results of the univariate Logistic regression analysis showed that the proportion of patients using three or more combined antibiotics and the level of serum creatinine in the occurrence group were significantly higher than those in the non-occurrence group, while the level of hemoglobin was significantly lower (P<0.05). The results of the multivariate Logistic regression analysis revealed that the use of three or more combined antibiotics, low hemoglobin level and high serum creatinine level were independent risk factors for piracetam-associated thrombocytopenia (P<0.05). The constructed risk prediction model was LogitP= -1.114+1.256×three or more combined antibiotics-0.017×hemoglobin level+0.009×serum creatinine level. The AUC of the ROC curve of this model was 0.757, and the optimal cut-off value was 0.474; the AUC of the ROC curve of the Bootstrap internal validation was 0.733; the apparent curve and the bias-corrected curve were close to the ideal curve. CONCLUSIONS The use of three or more antibiotics, along with low hemoglobin level and high serum creatinine level, are identified as independent risk factors for piracetam-associated thrombocytopenia. The developed risk prediction model demonstrates good predictive value.
3.Research progress on the role and mechanism of high mobility group box protein 1 after spinal cord injury
Xin XUE ; Chang-zheng YIN ; Jin-hui CHEN ; Lu-rong HUANG ; Xin ZHENG ; Yi-min LI ; Guo-bao XIAO ; Ping ZHANG ; Jian-hua ZHAO
Journal of Regional Anatomy and Operative Surgery 2025;34(10):918-923
High mobility group box protein 1(HMGB1)is one of the most widely expressed protein member in the HMGs family,which is well known for its involvement in the body inflammatory response.Previous researches have found that it plays a significant role in cell migration,immune identification and neuroprotection.Spinal cord injury is a disease that causes severe damage to the nervous system,and neural circuits are disrupted after a spinal cord injury,which leads to many conditions including ischemia and hypoxia,inflammatory responses,demyelinating lesions,and glial scar formation that are detrimental to nerve regeneration and repair,making it one of the most difficult diseases to treat in the modern spinal surgery field.HMGB1 is upregulated after spinal cord injury,thereby regulating neuroinflam-matory responses,and participating in the neuronal apoptosis,promoting neuronal regeneration,and inducing neural stem cell differentiation and migration,which plays an important role in the process of neural function recovery.This paper summarizes the structure and function of HMGB1,as well as its role in spinal cord injury,in order to provide direction for founding therapeutic target for neurological function recovery after spinal cord injury.
4.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
5.Genomic characterization of group A Streptococcus of different emm-type in Tianjin City from 2011 to 2024
Xiaohui LU ; Wei ZHANG ; Wen LI ; Aiping YU ; Guangwen LIU ; Baolu ZHENG ; Xuan CHEN ; Xin GAO ; Xiaoyan LI
Chinese Journal of Preventive Medicine 2025;59(5):702-709
To characterize the genomes of different emm-type group A Streptococcus (GAS), their virulence genes and drug resistance profiles in Tianjin City from 2011 to 2024. After PCR, a total of 42 strains with different years and emm types were selected for whole genome sequencing and multi-locus sequence typing (MLST), and the core genomes were used to generate a phylogenetic tree, after which the virulence genes and resistance genes were identified and analyzed, followed by the drug susceptibility test. In this study, the GAS strains were dominated by emm1 (50.0%) and emm12 (40.4%), and the MLST phenotypes were categorized into six types: ST36 (40.4%), ST1274 (26.1%), ST28 (23.8%), ST921 (4.7%), ST46 (2.3%), and ST403 (2.3%). There was a high consistency between their emm-types and ST types. A total of 68 virulence genes were detected in the genomes of 42 GAS strains, involving functional genes encoding exotoxin, bacterial adhesion, extracellular enzymes, etc. The virulence genes they carried were significantly different between emm1-type and emm12-type strains, such as speA. At the same time, the carrying rates of some virulence genes in the same emm-type strains changed with time, such as hyl. The resistance genes were basically the same among different emm-type strains except for the vanSE gene detected in all emm12 strains. The results of drug sensitivity showed that the GAS strains isolated in Tianjin City from 2011 to 2024 were sensitive to penicillin, cefazolin, chloramphenicol, vancomycin, and levofloxacin, while the resistance rates to erythromycin, azithromycin, clarithromycin, and clindamycin ranged from 88.5% to 100.0%, and there was a certain degree of consistency between the resistance phenotypes and the detected resistance genes. Overall, the main emm types and evolutionary features of GAS in Tianjin City from 2011 to 2024 were consistent with the dominant types in China, and the carrying rate of virulence genes and drug resistance genes differed significantly among different emm-type strains, and there were continuous evolution and variation in the prevalence of virulence genes in GAS.
6.Clinical application of blonanserin in the treatment of schizophrenia:expert consensus from China(2024)
Tianmei SI ; Zheng LU ; Fude YANG ; Xiaoping WANG ; Chuan SHI ; Dengtang LIU ; Yingjun ZHENG ; Hong DENG ; Shaohua HU ; Xin YU
Chinese Mental Health Journal 2025;39(6):561-574
Blonanserin,a second-generation atypical antipsychotic agent,acts as an antagonist for dopamine D2,D3,and serotonin 5-HT2A receptors.Clinical studies have demonstrated that blonanserin is non-inferior to other antipsychotics,such as haloperidol and risperidone,in alleviating the symptoms of schizophrenia.Moreover,it exhib-its beneficial effects on cognitive symptoms and social functioning,with a favorable safety profile,making it one of the key treatment options for schizophrenia.With extensive clinical experience accumulated in China,this expert consensus aims to provide psychiatrists with updated and localized guidance on the optimal use of blonan-serin.Based on a systematic review of the latest evidence-particularly studies in Chinese population,this paper pres-ents the updated Chinese expert recommendations for the clinical use of blonanserin in 2024.
7.Characteristics of traditional Chinese medicine syndromes in patients with Chikungunya hemorrhagic fever:a cross-sectional study
Shiying LU ; Danwen ZHENG ; Xintian HONG ; Yuping LIU ; Guangzong LI ; Zhifeng HONG ; Jinghua YANG ; Yan ZHANG ; Banghan DING ; Yuntao LIU ; Yuanyuan WANG ; Xin YIN ; Jingwei SHUI ; Xiaofei FAN ; Hai LAN ; Zhongde ZHANG
Journal of Beijing University of Traditional Chinese Medicine 2025;48(11):1531-1539
Objective To explore the traditional Chinese medicine(TCM)syndrome characteristics of patients with Chikungunya hemorrhagic fever and to provide empirical data to support the application of TCM in diagnosing and treating Chikungunya hemorrhagic fever.Methods A cross-sectional survey was conducted to collect clinical data(sex,age,days since onset,and comorbidity underlying disease conditions)and TCM with four-examination information(symptoms,tongue manifestations,and pulse manifestations)from 255 patients with Chikungunya hemorrhagic fever who visited Lecong Hospital of Shunde,Foshan,the Third People's Hospital of Shunde District of Foshan,Shunde Hospital of Southern Medical University Affiliated Chencun Hospital between July 23 and July 29,2025.Factor and cluster analyses were used to summarize TCM syndrome characteristics and analyze core pathogenesis in conjunction with clinical features.Results Among the 255 patients with Chikungunya hemorrhagic fever,131 were male and 124 were female,with a age of(49.05±17.93)years and a disease duration of(3.26±1.78)days.Among the four types of examination information in TCM,35 items exhibited a frequency exceeding 10%.The most prevalent symptoms were arthralgia(180 patients,70.59%),exanthem(153 patients,60.00%),fatigue(99 patients,38.82%),anhidrosis(98 patients,38.43%),pruritus(96 patients,37.65%),and fever(92 patients,36.08%).Tongue and pulse manifestations were primarily white fur(155 patients,60.78%),pink tongue(111 patients,43.53%),slippery pulse(143 patients,56.08%),and greasy fur(134 patients,52.53%).Patients with disease onset≤3 d had a higher incidence of arthralgia,fatigue,fever,aversion to cold,generalized muscle pain,aversion to wind,insomnia,headache,sweating,low-grade fever,poor appetite,loose stool,hyperhidrosis,and red tongue than those with disease onset≥4 d(P<0.05).Patients with disease onset≥4 d had a higher incidence of pink tongue and thick fur than those with disease onset≤3 d(P<0.05).The syndrome elements in patients with Chikungunya hemorrhagic fever predominantly manifested on the defensive exterior,with involvement of the sinew-bone joints,skin-muscle,and spleen.Pathogenic factors were primarily characterized by external winds,dampness,and heat.Factor and cluster analysis result indicated three TCM pathogenesis progression patterns:imbalance of the defensive exterior with wind-dampness conflict and heat transformation;dampness-heat flowing into muscles and meridians causing joint obstruction and qi blood stasis;and dampness-heat congelation resulting in qi mechanism obstruction,consumption of body fluids,and infiltration of the skin.Conclusion Patients with Chikungunya hemorrhagic fever primarily present with fever,joint pain,and rashes.In TCM,this condition falls under the category of"dampness-warmth"syndrome.Its etiology is attributed to pathogens,with transmission occurring through mosquito bites.The core pathogenesis of TCM is the invasion of the defensive exterior and dampness-toxic heat accumulation.The therapeutic principles focus on clearing heat pathogens,resolving dampness pathogens,dispersing wind pathogens,and promoting the resolution of rashes.
8.The influence of two-way referral model on treatment and prognosis of patients with chronic heart failure
Yijun SUN ; Xinyu ZHANG ; Yue HU ; Zongwei LIN ; Jie XIAO ; Peng LI ; Xin ZHAO ; Huafang ZHANG ; Bo QIN ; Dequan JIA ; Tao ZHANG ; Jian MA ; Hongping CHEN ; Chunju ZHANG ; Xinwei GENG ; Kaiyan ZHANG ; Man ZHENG ; Fenglei ZHANG ; Yan LANG ; Hegong HOU ; Peng LIU ; Haifeng JIA ; Jianjun LU ; Kai ZHAO ; Hui ZHAO ; Jiechang XU ; Mi ZHANG ; Xiuxin LI ; Dongxia ZHANG ; Lin ZHONG ; Hui ZHAO ; Fangfang LIU ; Yan LIU ; Dongxia MIAO ; Chengwei WANG ; Hui ZHANG ; Chen WANG ; Fen WANG ; Xuejuan ZHANG ; Huixia LYU ; Xiaoping JI
Chinese Journal of Cardiology 2025;53(11):1244-1253
Objective:To explore the impact of the two-way referral model on compliance and prognosis in patients with heart failure.Methods:This bidirectional cohort study enrolled chronic heart failure (CHF) patients treated at Qilu Hospital of Shandong University or designated primary hospitals between March 2018 and March 2022. Patients were categorized into two groups based on referral status: two-way referral group (participating in the referral model with≥1 follow-up visit at primary hospitals) and the core hospital group (receiving treatment and follow-up exclusively at Qilu Hospital). Baseline clinical characteristics were collected and compared between groups. Patients underwent followed-up, with primary endpoints including follow-up rate, drug (β-blockers, angiotension converting enzyme inhibitor (ACEI)/angiotensin Ⅱ receptor blockers (ARB)/angiotensin receptor-neprilysin inhibitor (ARNI), sodium-glucose cotransporter 2 inhibitors and mineralocorticoid receptor antagonists) utilization rate and target dose achievement rate. Secondary endpoints encompassed changes from baseline in left ventricular ejection fraction (LVEF), left ventricular end-diastolic diameter (LVEDd), and N-terminal pro-brain natriuretic peptide (NT-proBNP), plus cardiovascular mortality and heart failure rehospitalization. Generalized linear mixed models analyzed longitudinal trends in LVEF, LVEDd, and NT-proBNP levels. Kaplan-Meier curves and Cox regression evaluated LVEF recovery rates, supplemented by subgroup analyses. Multivariate logistic regression was used to identify factors influencing target dose achievement rate for β-blockers and ACEI/ARB/ARNI therapies in CHF patients.Results:A total of 357 patients were enrolled, aged 53 (41, 63) years, including 256 males (71.7%). 157 patients were in the two-way referral group and 200 patients in the core hospital-treated group. Compared with the core hospital-treated group, the two-way referral group had lower baseline LVEF (28 (22, 34)% vs. 31 (23, 36)%, P=0.021) and systolic blood pressure (116 (104, 125) mmHg vs. 121 (109, 134) mmHg (1 mmHg=0.133 kPa), P=0.010). The 12-month follow-up rate of the two-way referral group was higher than the core hospital-treated group (73.8% vs. 56.0%, P=0.004). No significant between-group differences were observed in drug utilization rate of β-blockers, ACEI/ARB/ARNI, or sodium-glucose cotransporter 2 inhibitors during follow-up (all P>0.05), while mineralocorticoid receptor antagonists use showed a declining trend in both groups. Although the core hospital-treated group had higher target dose achievement rates for β-blockers (65.4% vs. 49.3%, P=0.042) and ACEI/ARB/ARNI (79.8% vs. 65.8%, P=0.046) than the two-way referral group, multivariate logistic regression indicated that the two-way referral model was not a negative predictor for these outcomes (all P>0.05). Both groups showed improved NT-proBNP, LVEDd, and LVEF from baseline (all P<0.001) with no significant difference in trends between groups (all P>0.05). There was no significant difference in the composite incidence (7.6% vs. 6.5%, P=0.674) and cumulative incidence (log-rank P=0.684) of cardiovascular death and heart failure rehospitalization at 12 months between two groups. Conclusion:The two-way referral model demonstrates advantages in improving medication adherence, drug utilization rates, and targetdoseachievement rates among CHF patients. This model not only promotes cardiac functional recovery but also reduces risks of cardiovascular mortality and heart failure rehospitalization, achieving comparable therapeutic and management outcomes to those observed in core hospital-treated patients.
9.Development bottlenecks and countermeasures for district hospitals in Shanghai new cities:Based on rainbow model
Chao LIANG ; Wen-ru SHANG ; Chun-xin LI ; Lu HAN ; Jian-zheng ZHU
Chinese Journal of Health Policy 2025;18(5):27-34
Objective:To analyze the problems and constraints in the development of district hospitals in new cities of Shanghai,and to provide suggestions for the development of district hospitals based on rainbow model.Methods:Using the purposive sampling method,26 key informants from 16 units of health administrative departments,municipal hospitals,and regional medical centers in 5 new cities were selected for on-site research and in-depth interviews,and the research data were analyzed using the thematic framework method.Results:Macro-level planning layout and resource allocation,meso-level organizational linkage and cooperation and competition,and micro-level medical service and talent discipline are important factors affecting the development of district hospitals;there is a mismatch between the realistic development path and functional positioning,mismatch between the institutional mechanism and the demand for effective integration of medical resources,insufficient specialty development and introduction of new technologies,lack of and serious loss of medical talents,limited policy support,inconsistent standards and transfer of resources,and limited policy support.Limited efforts,non-uniform standards poor referral,and other development bottlenecks.Conclusions:It is suggested to strengthen system integration,optimize the planning and layout of health resources in the new city,and guide the differentiated development of hospitals at the city and district levels;Strengthen organizational integration,improve the cooperation and benefit distribution mechanism,and accelerate the construction of close-knit medical consortiums;Optimize the integration of services,accelerate the application of new technologies,and strengthen the construction of specialty alliances;Deepen the integration of functions and norms,coordinate human,financial,and material resources,and solidify the basic support.
10.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.

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