1.Reliability and validity of the Chinese version of Amyotrophic Lateral Sclerosis Impairment Multidomain Scale
Shilei WAN ; Dan YANG ; Nianquan LIU ; Qianping JIANG ; Dandan XU ; Yan ZHAO ; Jing ZHOU
Journal of Chongqing Medical University 2025;50(11):1578-1586
Objective:To translate Amyotrophic Lateral Sclerosis Impairment Multidomain Scale(AIMS)into Chinese,and to investi-gate its reliability and validity among Amyotrophic Lateral Sclerosis(ALS)patients.Methods:A total of 161 ALS patients who were registered in the registry system of Integrated Traditional Chinese and Western Medicine Treatment Center for Motor Neuron Disease in Hubei Provincial Hospital of Traditional Chinese Medicine from August 2023 to July 2024 were enrolled as subjects,and the Chinese version of AIMS was used for investigation after translation and revision.The Rasch model was used to assess the unidimensionality,in-ternal consistency,content validity,construct validity,and criterion-related validity of the questionnaire,and the classical test theory was used for item analysis,test-retest reliability analysis,and criterion-related validity analysis.Results:Unidimensionality testing showed that all three dimensions of AIMS have good unidimensionality.For all items except item 18,information-weighted fit statis-tic mean square(Infit MNSQ)and outlier-sensitive fit statistic mean square(Outfit MNSQ)ranged from 0.5 to 1.5,and point-measure correlation(PT-Measure)ranged from 0.63 to 0.87.The threshold between adjacent options of each item was>1.4 logit.Wright maps showed that item difficulties ranged from-2.24 to 2.08 logit,and the differential item functioning analysis showed that the absolute values of differences between patients across different char-acteristic subgroups were<1 logit.The overall scale and each di-mension had a reliability of>0.9,with an individual reliability of>0.7.The dimension of respiration had a separation index of 1.56,while the overall scale and the other dimensions had a separation in-dex of>2.The item analysis showed that the correlation coefficient between the items in each dimension and their respective dimen-sions ranged from 0.622 to 0.865(P<0.01).The overall scale and the dimensions of medulla oblongata,motor,and respiration had a test-retest reliability of 0.994,0.970,0.990,and 0.972,respectively(P<0.01).The criterion-related validity analysis showed that the correlation coefficients of total score and the score of each dimension between the Chinese version of AIMS and the revised version of AIMS were 0.863,0.829,0.876,and 0.755,respectively(P<0.01).Conclusion:The Chinese version of AIMS has a good degree of fit-ting and relatively high levels of reliability and validity,with moderate item difficulty,reasonable option settings,and high overall qual-ity,and it is suitable for the functional assessment of ALS patients in China.
2.Molecular mechanism of Maitong Jun'an decoction in treating coronary heart disease based on network pharmacology,molecular docking and animal experiments
Yaning JIANG ; Jing ZHAO ; Yongning SUN
Academic Journal of Naval Medical University 2025;46(9):1159-1168
Objective To explore the potential molecular mechanism of Maitong Jun'an decoction(MTJA)in the treatment of coronary heart disease based on network pharmacology,molecular docking and animal experiments.Methods The main active components and corresponding protein targets of MTJA were screened in Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)and SwissTargetPrediction combined with literatures.Genes associated with myocardial infarction and heart failure in coronary heart disease were searched in DisGeNET,Genecards and Online Mendelian Inheritance in Man(OMIM)databases.The intersection of compound targets and disease targets was obtained,and"medicine-composition-target-disease"network was constructed.The overlapping targets were imported into STRING database to construct protein-protein interaction(PPI)network.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were performed on the targets,and molecular docking studies were further conducted on the core targets and active compounds.The rat model of myocardial infarction was established.The morphological and pathological changes of heart tissue were observed by hematoxylin-eosin staining,and the expression of core target protein was detected by Western blotting.Results There were 264 nodes and 1 193 interrelationships in the"medicine-composition-target-disease"network.Quercetin and kaempferol were the key components as ranked by degree value.The proteins with high degree in PPI network were interleukin(IL)-6,IL-1β and protein kinase B 1(Akt1).GO and KEGG analyses showed that the mechanism of MTJA in the treatment of coronary heart disease mainly involved lipids and atherosclerosis,advanced glycation end product(AGE)-receptor for advanced glycation end product(RAGE)signaling pathway in diabetes complications,fluid shear stress and atherosclerosis,IL-17 signaling pathway,etc.The results of molecular docking showed that the important compounds of MTJA had strong binding ability with the core target.The results of animal experiments showed that MTJA could significantly alleviate the myocardial injury in rats with myocardial infarction,and reduce the expression levels of IL-1β and IL-6 proteins in apical tissue of rats with coronary heart disease.Conclusion MTJA may play a role in the treatment of coronary heart disease by reducing the expression levels of IL-1β and IL-6 proteins.
3.Metabolic Characteristics of Patients With Early-Onset Type 2 Diabetes Mellitus and a Risk Prediction Model for Microvascular Complications
Yanyan WANG ; Hua JIANG ; Xin LYU ; Cong WANG ; Yue ZHAO ; Yongyu WEI ; Danqing JING ; Jiajia LIU ; Lei ZHENG
Journal of Sichuan University (Medical Sciences) 2025;56(4):931-938
Objective To investigate the metabolic characteristics of patients with early-onset type 2 diabetes mellitus(T2DM)and to develop a risk prediction model for microvascular complications.Methods A retrospective study was conducted on 980 T2DM patients admitted for treatment between April 2020 and April 2024.Based on age at diagnosis,the patients were divided into two groups,an early-onset T2DM group(age at diagnosis<40 years,n=265)and a late-onset T2DM group(age at diagnosis≥40 years,n=715).Differences in metabolic indicators between the two groups were compared.Patients in the early-onset group were further divided into a complication subgroup(n=142)and a non-complication subgroup(n=123)based on the presence or absence of microvascular complications.Data on baseline characteristics,metabolic parameters,and laboratory indicators were collected and compared between the two groups.Multivariate logistic regression analysis was used to identify independent risk factors for microvascular complications,and a nomogram prediction model was constructed.The model's discriminative performance was assessed using receiver operating characteristic(ROC)curves,and its calibration was evaluated using calibration curves and the Hosmer-Lemeshow test.Decision curve analysis(DCA)was also performed to assess the model's clinical utility.Results Compared with the late-onset group,patients in the early-onset group exhibited more pronounced metabolic abnormalities,including higher body mass index(BMI),proportion of family history of diabetes mellitus,glycated hemoglobin(HbA1c)levels,total cholesterol(TC),triglycerides(TG),low-density lipoprotein cholesterol(LDL-C),triglyceride-glucose index(TyG),and lactate dehydrogenase(LDH)levels(all P<0.05),along with a shorter disease duration and lower levels of high-density lipoprotein cholesterol(HDL-C)(P<0.05).According to a multivariate analysis,systolic blood pressure(SBP),total bilirubin(TBIL),HDL-C,LDL-C,TyG,and LDH were identified as independent risk factors for microvascular complications in patients with early-onset T2DM.A predictive model based on these factors was established as the follows,Log(P)=-19.915+0.017×SBP-0.136×TBIL-1.241×HDL-C+0.684×LDL-C+0.769×TyG+0.050×LDH.The area under the ROC curve(AUC)was 0.864(95%CI,0.820-0.907),and the Hosmer-Lemeshow test indicated good model fit(χ2=10.286,P=0.246).The slope of the DCA curve was also close to 1.Conclusion The nomogram prediction model based on SBP,TBIL,HDL-C,LDL-C,TyG,and LDH demonstrates good predictive performance for microvascular complications and can provide a reference for clinical risk stratification and individualized intervention.
4.Effect of triptolide on the expression of Polo-like kinase-1 in CT26 colon cancer and its antitumor activity
Zhi-Hao LU ; Xue-Ming LI ; Yan-Ling JIANG ; Xu ZHAO ; Jing FENG ; Jian LI
Acta Anatomica Sinica 2025;56(1):4-10
Objective To investigate the antitumor effects of triptolide against CT26 colon cancer and its impact on the expression of Polo-like kinase-1(PLK-1)protein.Methods Forty clean grade BALB/c mice,each mouse was implanted with 1×106 CT26 cells into the dorsal side of the right forelimb to establish a tumor-bearing mouse model.Experimental animals were randomly divided into four groups,the tumor model group(saline control),the positive drug group[oxaliplatin,5 mg/(kg·d)],the low-dose triptolide group[50 μg/(kg·/d)],and the high-dose triptolide group[100 μg/(kg·d)].The drugs were administered through intraperitoneal injection(10 times in total,once every other day).The in vitro effects of the drugs on the proliferation,migration,invasion,and mitosis of CT26 cells were also assessed.Results Triptolide significantly inhibited the proliferation,migration,and invasion of CT26 colon cancer cells,and disrupted the separation of centrosomes and the correct arrangement of chromosomes during the prophase of mitosis in tumor cells.The binding energy of triptolide and PLK-1 protein was-7.1 kcal/mol,and it could down-regulate the expression of PLK-1 in CT26 cells.Conclusion Triptolide exerts its antitumor effects against CT26 colon cancer by downregulating the expression of PLK-1.
5.Correlations of plasma cyclin-dependent kinase 9 level with disease progression and prognosis in patients with acute large artery atherosclerotic cerebral infarction
Xueqin TIAN ; Jiahao WANG ; Linling JI ; Gege ZHAO ; Jing JIANG ; Yingge WANG
Journal of Clinical Medicine in Practice 2025;29(1):6-12
Objective To investigate the influencing factors of disease progression and prognosis in patients with large artery atherosclerotic(LAA)cerebral infarction and analyze the value of plasma cyclin-dependent kinase 9(CDK9)level in the diagnosis and treatment of LAA cerebral infarction.Methods Patients with acute cerebral infarction admitted to the Department of Neurology of the Affili-ated Hospital of Yangzhou University between March 1,2022,and November 20,2023,were select-ed.According to the diagnostic criteria,98 patients with acute LAA(LAA group)and 33 patients with acute small artery occlusion(SAO)cerebral infarction(SAO group)were selected.Additionally,40 healthy individuals matched for age and gender from the Health Examination Center were included as control group.Based on whether the condition of LAA cerebral infarction patients progressing,they were divided into progressive cerebral infarction(PCI)group(39 patients)and the non-pro-gressive cerebral infarction(NPCI)group(59 patients).During the 3-month follow-up period,6 patients from the 98 LAA cerebral infarction patients were lost.According to the modified Rankin Scale(mRS)score at 90 days of follow-up,patients were divided into good prognosis group(mRS score≤2,59 patients)and poor prognosis group(mRS score>2,33 patients).Fasting lipid in-dices[total cholesterol(TC),triglyceride(TG),low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol(HDL-C),glucose(GLU),glycated hemoglobin(HbA1c),and homocysteine(Hey)]were collected on the second day after admission.The National Institutes of Health Stroke Scale(NIHSS)was used to assess the degree of neurological impairment in cerebral infarction patients.Enzyme-linked immunosorbent assay(ELISA)was used to measure plasma CDK9 levels in different groups;factors influencing disease progression in patients with acute LAA cerebral infarction were explored;and receiver operating characteristic curves were plotted to evalu-ate the predictive value of CDK9 in patients with acute LAA cerebral infarction.Results Compared with the control group,the LAA group had lower HDL-C level and higher CDK9 level(P<0.05).The LAA group had a higher proportion of diabetes history,larger infarction volume,higher NIHSS score at admission,and higher CDK9 level compared with the SAO group(P<0.05).Binary Logistic regression analysis showed that diabetes history and plasma CDK9 levels were influencing factors for LAA cerebral infarction.There were statistically significant differences in the proportion of diabetes history,HbA1c,random GLU,and CDK9 levels between the NPCI and PCI groups(P<0.05).Diabetes history and plasma CDK9 levels were influencing factors for disease progression in patients with acute LAA cerebral infarction.The area under the ROC curve for CDK9 in predicting acute LAA cerebral infarction was 0.854 5(95%CI,0.794 1 to 0.9148).When the CDK9 level was 602.1 ng/L,the Youden index was maximum(0.604),with a corresponding sensitivity of 0.849 and specificity of 0.755.The NIHSS score,infarction volume,and plasma CDK9 level were higher in the poor prognosis group compared with the good prognosis group(P<0.01).Correlation analysis showed a positive correlation between mRS scores and CDK9 levels(r=0.485,P<0.01).Conclusion Plasma CDK9 levels are significantly elevated,and is an influencing factor.It is positively correlated with disease progression and poor prognosis in acute cerebral infarction and has certain predictive value for the progression of LAA cerebral infarction.
6.Synthetic MRI Combined With Clinicopathological Characteristics for Pretreatment Prediction of Chemoradiotherapy Response in Advanced Nasopharyngeal Carcinoma
Siyu CHEN ; Jiankun DAI ; Jing ZHAO ; Shuang HAN ; Xiaojun ZHANG ; Jun CHANG ; Donghui JIANG ; Heng ZHANG ; Peng WANG ; Shudong HU
Korean Journal of Radiology 2025;26(2):135-145
Objective:
To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC).
Materials and Methods:
Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test.
Results:
The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively.
Conclusion
SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.
7.Current situation of e-cigarettes and its relationship with smoking and smoking cessation among residents aged 18-65 in Beijing
Bo JIANG ; Aijuan MA ; Jin XIE ; Chen XIE ; Xueyu HAN ; Li NIE ; Yingqi WEI ; Kai FANG ; Jing DONG ; Yue ZHAO ; Zhong DONG
Chinese Journal of Epidemiology 2025;46(4):638-645
Objective:To understand the usage situation of e-cigarettes among residents aged 18-65 in Beijing, explore the relationship between e-cigarette use and cigarette smoking as well as smoking cessation behaviors, and provide scientific support for the developing and improving policies and measures related to e-cigarettes.Methods:Using 19 684 residents data from the Beijing Non-communication Chronic Disease and Risk Factors Surveillance in 2022, complex sampling weighted methods were used to estimate proportions, and complex sampling logistic regression analysis was applied to explore the relationship between e-cigarette use, cigarette smoking, and smoking cessation.Results:Among all study participants, the proportion of those who had ever used e-cigarettes was 3.36%, with the current e-cigarette use at 1.26%. The proportion of current e-cigarette users (1.87%) and the former e-cigarette users (3.47%) were higher ( χ2=64.70, P<0.001) among males compared to females (0.60% and 0.64% respectively). The top three reasons for using e-cigarettes were wanting to quit smoking, perceiving e-cigarettes as less harmful, and enjoying the flavors of e-cigarettes. 83.54% of e-cigarette users started with cigarettes. The results of the complex sampling multivariable logistic regression analysis showed that current smoking ( OR=61.35, 95% CI: 36.98-101.76) and former smoking ( OR=31.20, 95% CI: 15.52-62.71) were positively associated with e-cigarette, while current e-cigarette use ( OR=0.13, 95% CI: 0.04-0.39) was negatively associated with quitting cigarette smoking. Conclusions:The proportion of e-cigarette use in Beijing was relatively low. E-cigarette use was associated with cigarette use and was not conducive to smoking cessation. Therefore, stronger regulatory measures and health education campaigns regarding the risks of e-cigarettes should be implemented.
8.Trends of diabetes in Beijing, China.
Aijuan MA ; Jun LYU ; Zhong DONG ; Li NIE ; Chen XIE ; Bo JIANG ; Xueyu HAN ; Jing DONG ; Yue ZHAO ; Liming LI
Chinese Medical Journal 2025;138(6):713-720
BACKGROUND:
The global rise in diabetes prevalence is a pressing concern. Despite initiatives like "The Healthy Beijing Action 2020-2030" advocating for increased awareness, treatment, and control, the specific situation in Beijing remains unexplored. This study aimed to analyze the trends in diabetes prevalence, awareness, treatment, and control among Beijing adults.
METHODS:
Through a stratified multistage probability cluster sampling method, a series of representative cross-sectional surveys were conducted in Beijing from 2005 to 2022, targeting adults aged 18-79 years. A face-to-face questionnaire, along with body measurements and laboratory tests, were administered to 111,943 participants. Data from all survey were age- and/or gender-standardized based on the 2020 Beijing census population. Annual percentage rate change (APC) or average annual percentage rate change (AAPC) was calculated to determine prevalence trends over time. Complex sampling logistic regression models were employed to explore the relationship between various characteristics and diabetes.
RESULTS:
From 2005 to 2022, the total prevalence of diabetes among Beijing adults aged 18-79 years increased from 9.6% (95% CI: 8.8-10.4%) to 13.9% (95% CI: 13.1-14.7%), with an APC/AAPC of 2.1% (95% CI: 1.1-3.2%, P <0.05). Significant increases were observed among adults aged 18-39 years and rural residents. Undiagnosed diabetes rose from 3.5% (95% CI: 3.2-4.0%) to 7.2% (95% CI: 6.6-7.9%) with an APC/AAPC of 4.1% (95% CI: 0.5-7.3%, P <0.05). However, diabetes awareness and treatment rates showed annual declines of 1.4% (95% CI: -3.0% to -0.2%, P <0.05) and 1.3% (95% CI: -2.6% to -0.2%, P <0.05), respectively. The diabetes control rate decreased from 21.5% to 19.1%, although not statistically significant (APC/AAPC = -1.5%, 95% CI: -5.6% to 1.9%). Overweight and obesity were identified as risk factors for diabetes, with ORs of 1.65 (95% CI: 1.38-1.98) and 2.48 (95% CI: 2.07-2.99), respectively.
CONCLUSIONS
The prevalence of diabetes in Beijing has significantly increased between 2005 and 2022, particularly among young adults and rural residents. Meanwhile, there has been a concerning decrease in diabetes awareness and treatment rates, while control rates have remained stagnant. Regular blood glucose testing, especially among adults aged 18-59 years, should be warranted. Furthermore, being male, elderly, overweight, or obese was associated with higher diabetes risk, suggesting the needs for targeted management strategies.
Humans
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Adult
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Middle Aged
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Male
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Female
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Aged
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Adolescent
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Young Adult
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Cross-Sectional Studies
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Diabetes Mellitus/epidemiology*
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Beijing/epidemiology*
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Prevalence
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China/epidemiology*
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Surveys and Questionnaires
9.Synthetic MRI Combined With Clinicopathological Characteristics for Pretreatment Prediction of Chemoradiotherapy Response in Advanced Nasopharyngeal Carcinoma
Siyu CHEN ; Jiankun DAI ; Jing ZHAO ; Shuang HAN ; Xiaojun ZHANG ; Jun CHANG ; Donghui JIANG ; Heng ZHANG ; Peng WANG ; Shudong HU
Korean Journal of Radiology 2025;26(2):135-145
Objective:
To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC).
Materials and Methods:
Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test.
Results:
The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively.
Conclusion
SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.
10.Protective effect of sub-hypothermic mechanical perfusion combined with membrane lung oxygenation on a yorkshire model of brain injury after traumatic blood loss.
Xiang-Yu SONG ; Yang-Hui DONG ; Zhi-Bo JIA ; Lei-Jia CHEN ; Meng-Yi CUI ; Yan-Jun GUAN ; Bo-Yao YANG ; Si-Ce WANG ; Sheng-Feng CHEN ; Peng-Kai LI ; Heng CHEN ; Hao-Chen ZUO ; Zhan-Cheng YANG ; Wen-Jing XU ; Ya-Qun ZHAO ; Jiang PENG
Chinese Journal of Traumatology 2025;28(6):469-476
PURPOSE:
To investigate the protective effect of sub-hypothermic mechanical perfusion combined with membrane lung oxygenation on ischemic hypoxic injury of yorkshire brain tissue caused by traumatic blood loss.
METHODS:
This article performed a random controlled trial. Brain tissue of 7 yorkshire was selected and divided into the sub-low temperature anterograde machine perfusion group (n = 4) and the blank control group (n = 3) using the random number table method. A yorkshire model of brain tissue injury induced by traumatic blood loss was established. Firstly, the perfusion temperature and blood oxygen saturation were monitored in real-time during the perfusion process. The number of red blood cells, hemoglobin content, NA+, K+, and Ca2+ ions concentrations and pH of the perfusate were detected. Following perfusion, we specifically examined the parietal lobe to assess its water content. The prefrontal cortex and hippocampus were then dissected for histological evaluation, allowing us to investigate potential regional differences in tissue injury. The blank control group was sampled directly before perfusion. All statistical analyses and graphs were performed using GraphPad Prism 8.0 Student t-test. All tests were two-sided, and p value of less than 0.05 was considered to indicate statistical significance.
RESULTS:
The contents of red blood cells and hemoglobin during perfusion were maintained at normal levels but more red blood cells were destroyed 3 h after the perfusion. The blood oxygen saturation of the perfusion group was maintained at 95% - 98%. NA+ and K+ concentrations were normal most of the time during perfusion but increased significantly at about 4 h. The Ca2+ concentration remained within the normal range at each period. Glucose levels were slightly higher than the baseline level. The pH of the perfusion solution was slightly lower at the beginning of perfusion, and then gradually increased to the normal level. The water content of brain tissue in the sub-low and docile perfusion group was 78.95% ± 0.39%, which was significantly higher than that in the control group (75.27% ± 0.55%, t = 10.49, p < 0.001), and the difference was statistically significant. Compared with the blank control group, the structure and morphology of pyramidal neurons in the prefrontal cortex and CA1 region of the hippocampal gyrus were similar, and their integrity was better. The structural integrity of granulosa neurons was destroyed and cell edema increased in the perfusion group compared with the blank control group. Immunofluorescence staining for glail fibrillary acidic protein and Iba1, markers of glial cells, revealed well-preserved cell structures in the perfusion group. While there were indications of abnormal cellular activity, the analysis showed no significant difference in axon thickness or integrity compared to the 1-h blank control group.
CONCLUSIONS
Mild hypothermic machine perfusion can improve ischemia and hypoxia injury of yorkshire brain tissue caused by traumatic blood loss and delay the necrosis and apoptosis of yorkshire brain tissue by continuous oxygen supply, maintaining ion homeostasis and reducing tissue metabolism level.
Animals
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Perfusion/methods*
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Disease Models, Animal
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Brain Injuries/etiology*
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Swine
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Male
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Hypothermia, Induced/methods*

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