1.A prediction model for high-risk cardiovascular disease among residents aged 35 to 75 years
ZHOU Guoying ; XING Lili ; SU Ying ; LIU Hongjie ; LIU He ; WANG Di ; XUE Jinfeng ; DAI Wei ; WANG Jing ; YANG Xinghua
Journal of Preventive Medicine 2025;37(1):12-16
Objective:
To establish a prediction model for high-risk cardiovascular disease (CVD) among residents aged 35 to 75 years, so as to provide the basis for improving CVD prevention and control measures.
Methods:
Permanent residents aged 35 to 75 years were selected from Dongcheng District, Beijing Municipality using the stratified random sampling method from 2018 to 2023. Demographic information, lifestyle, waist circumference and blood biochemical indicators were collected through questionnaire surveys, physical examinations and laboratory tests. Influencing factors for high-risk CVD among residents aged 35 to 75 years were identified using a multivariable logistic regression model, and a prediction model for high-risk CVD was established. The predictive effect was evaluated using the receiver operating characteristic (ROC) curve.
Results:
A total of 6 968 individuals were surveyed, including 2 821 males (40.49%) and 4 147 females (59.51%), and had a mean age of (59.92±9.33) years. There were 1 155 high-risk CVD population, with a detection rate of 16.58%. Multivariable logistic regression analysis showed that gender, age, smoking, central obesity, systolic blood pressure, fasting blood glucose, triglyceride and low-density lipoprotein cholesterol were influencing factors for high-risk CVD among residents aged 35 to 75 years (all P<0.05). The area under the ROC curve of the established prediction model was 0.849 (95%CI: 0.834-0.863), with a sensitivity of 0.693 and a specificity of 0.863, indicating good discrimination.
Conclusion
The model constructed by eight factors including demographic characteristics, lifestyle and blood biochemical indicators has good predictive value for high-risk CVD among residents aged 35 to 75 years.
2.Differention and Treatment of Brain Metastasis from Lung Cancer Based on Theory of "Yang Qi Depletion and Latent Pathogens Transmitting to the Brain"
Huiying ZHAO ; Yanxia LIANG ; Guangsen LI ; Wenwen WANG ; Wenwen SU ; Fenggu LIU ; Hongfei XING ; Maorong FAN
Journal of Traditional Chinese Medicine 2025;66(9):968-972
3.Application of the Yang-Reinforcing Method in the Syndrome Differentiation and Treatment of Pulmonary Sarcoidosis
Yanxia LIANG ; Bing WANG ; Guangsen LI ; Wenwen SU ; Fenggu LIU ; Jiaoqiang ZHANG ; Hongfei XING ; Maorong FAN
Journal of Traditional Chinese Medicine 2025;66(11):1182-1185
Pulmonary sarcoidosis is an immune system disease with an unclear etiology. Guided by the yang-reinforcing method, it is believed that the fundamental pathogenesis of pulmonary sarcoidosis lies in the disharmony between water and fire and the reckless movement of the ministerial fire. The failure of the spleen and stomach to maintain warmth, leading to the production of phlegm and blood stasis, is an important pathogenesis. The invasion of external pathogenic toxins, deeply penetrating into the interior, is considered a triggering factor for the disease. The treatment focuses on supplementing the yang, consolidating the kidney, drawing fire back to its source, warming the yang, benefiting the kidney, and nourishing the spleen to generate metal. It also emphasizes unblocking the yang, transforming turbidity, and eliminating phlegm and blood stasis.
4.Development and prospects of predicting drug polymorphs technology
Mei GUO ; Wen-xing DING ; Bo PENG ; Jin-feng LIU ; Yi-fei SU ; Bin ZHU ; Guo-bin REN
Acta Pharmaceutica Sinica 2024;59(1):76-83
Most chemical medicines have polymorphs. The difference of medicine polymorphs in physicochemical properties directly affects the stability, efficacy, and safety of solid medicine products. Polymorphs is incomparably important to pharmaceutical chemistry, manufacturing, and control. Meantime polymorphs is a key factor for the quality of high-end drug and formulations. Polymorph prediction technology can effectively guide screening of trial experiments, and reduce the risk of missing stable crystal form in the traditional experiment. Polymorph prediction technology was firstly based on theoretical calculations such as quantum mechanics and computational chemistry, and then was developed by the key technology of machine learning using the artificial intelligence. Nowadays, the popular trend is to combine the advantages of theoretical calculation and machine learning to jointly predict crystal structure. Recently, predicting medicine polymorphs has still been a challenging problem. It is expected to learn from and integrate existing technologies to predict medicine polymorphs more accurately and efficiently.
5.GLUL stabilizes N-Cadherin by antagonizing β-Catenin to inhibit the progresses of gastric cancer.
Qiwei JIANG ; Yong LI ; Songwang CAI ; Xingyuan SHI ; Yang YANG ; Zihao XING ; Zhenjie HE ; Shengte WANG ; Yubin SU ; Meiwan CHEN ; Zhesheng CHEN ; Zhi SHI
Acta Pharmaceutica Sinica B 2024;14(2):698-711
Glutamate-ammonia ligase (GLUL, also known as glutamine synthetase) is a crucial enzyme that catalyzes ammonium and glutamate into glutamine in the ATP-dependent condensation. Although GLUL plays a critical role in multiple cancers, the expression and function of GLUL in gastric cancer remain unclear. In the present study, we have found that the expression level of GLUL was significantly lower in gastric cancer tissues compared with adjacent normal tissues, and correlated with N stage and TNM stage, and low GLUL expression predicted poor survival for gastric cancer patients. Knockdown of GLUL promoted the growth, migration, invasion and metastasis of gastric cancer cells in vitro and in vivo, and vice versa, which was independent of its enzyme activity. Mechanistically, GLUL competed with β-Catenin to bind to N-Cadherin, increased the stability of N-Cadherin and decreased the stability of β-Catenin by alerting their ubiquitination. Furthermore, there were lower N-Cadherin and higher β-Catenin expression levels in gastric cancer tissues compared with adjacent normal tissues. GLUL protein expression was correlated with that of N-Cadherin, and could be the independent prognostic factor in gastric cancer. Our findings reveal that GLUL stabilizes N-Cadherin by antagonizing β-Catenin to inhibit the progress of gastric cancer.
6. Optimization and identification of a low density and high purity method for primary hippocampal neuron culture from fetal rats
Peng SU ; Xing-Yi WANG ; Jing-Yan LIANG ; Tian-Qing XIONG ; Jing-Yan LIANG ; Tian-Qing XIONG
Acta Anatomica Sinica 2024;55(1):113-119
Objective To establish a low density, high purity and high stability in vitro culture method of primary hippocampal neurons of fetal rats by co-culturing hippocampal and cortical cells, so as to obtain higher purity and better vitality of primary hippocampal neurons disease. Methods The fetal rat hippocampal tissue was isolated from 16-18 days pregnant SD rats, then cut and digested by 0.125% trypsin. The obtained cell suspension was filtered by 200 mesh cell sieve, and then the obtained cell suspensions were then inoculated into the inner layer and outer ring of the culture plate in a surrounding form. They were co-cultured in DMEM/F12 medium containing 10% horse serum. After 4-6 hours of cell adhesion, the culture medium was changed to maintenance medium (Neurobasal+2% B27+0.5 mmol/L glutamine). Then the cell viability was detected with CCK-8 kit and the purity of hippocampal neurons was detected by immunofluorescent staining. Results Hippocampal neurons grew well and formed crisscross neural networks after 5 days. And it could survive for 3 weeks. The purity of hippocampal neurons was up to 98%. Conclusion The method of co-culturing hippocampal and cortical cells can obtain high-purity, high activity, high survival rate, and high stability primary hippocampal neurons from fetal rats, which can provide certain experimental conditions for the study of hippocampal neuron related diseases in the nervous system and is worthy of promotion and application.
7.Correlation Between Neutrophil/HDL-C Ratio and Severity of Coronary Artery Lesion in Young Adults with Acute Myocardial Infarction
Yiming XING ; Yazi ZHAO ; Jiannan SU
Acta Medicinae Universitatis Scientiae et Technologiae Huazhong 2024;53(1):100-104
Objective To investigate the relationship between neutrophil/high-density lipoprotein cholesterol ratio(NHR)and the severity of coronary artery lesions in young adults with acute myocardial infarction.Methods A total of 109 young a-dults(aged 18~45 years)with acute myocardial infarction admitted to the First Affiliated Hospital of Anhui Medical University from June 2019 to June 2023 were selected and divided into Syntax low-risk group(n=85)and Syntax medium-high-risk group(n=24)according to Syntax score.Patients with negative coronary angiography during the same period were negative control group(n=52).General clinical data and related serum markers were collected,and NHR value was calculated.Pearson correla-tion analysis and logistics regression analysis were performed to examine the correlation between NHR and the severity of coro-nary artery lesions.Subgroup analysis and interaction testing were further conducted.The receiver operating curve(ROC)was performed to evaluate the value of NHR in predicting the severity of coronary artery lesions in young adults with acute myocar-dial infarction.Results Gender,smoking rate,alcohol consumption rate,diabetes history,absolute number of neutrophils,tri-glyceride,HDL-C,NHR,VLDL-C,apolipoprotein B(APOB),fasting blood glucose and glycosylated hemoglobin were signifi-cantly different among the three groups(P<0.05).In pairwise comparison,the absolute number of neutrophil and NHR were significantly different among the three groups.BMI was significant different between non-CHD group and Syntax medium-high-risk group.HDL-C,fasting blood glucose and glycosylated hemoglobin were significant different between Syntax low-risk group and non-CHD group,as well as between Syntax medium-high-risk group and non-CHD group(P<0.05).Creatinine and APOB were significant different between Syntax low-risk group and non-CHD group.Triglyceride,VLDL-C and LP(a)were significant different between Syntax low-risk group and Syntax medium-high-risk group(P<0.05).Pearson correlation analysis showed a positively correlation between NHR and Syntax score(r=0.322,P<0.01).Univariate and multivariate binary logistic regres-sion analysis showed that NHR(OR=1.265,95%CI1.097~1.458,P<0.05)was an independent risk factor for the severity of coronary artery lesions in young adults with acute myocardial infarction.Subgroup analysis showed that NHR was significantly associated with the severity of coronary artery lesions in patients with BMI≥24 kg/m2,smokers,drinkers and non-drinkers(P<0.05).No significant difference was observed in interaction analysis.The ROC curve showed that the area under the curve(AUC)predicted by NHR for acute myocardial infarction in young adults was 0.758,with a cut-off value of 7.0319,sensitivity of 83.3%,and specificity of 63.53%.Conclusion NHR has a certain value in predicting the severity of coronary artery lesions in young adults with acute myocardial infarction.
8.Biomechanical features of posterior"Y"osteotomy and fixation in treatment of ankylosing spondylitis based on finite element simulation analysis
Le ZHANG ; Zhenhua CAO ; Yunfeng ZHANG ; Yangyang XU ; Feng JIN ; Baoke SU ; Lidong WANG ; Xing WANG ; Ling TONG ; Qinghua LIU ; Yuan FANG ; Lirong SHA ; Haiyan WANG ; Xiaohe LI ; Zhijun LI
Chinese Journal of Tissue Engineering Research 2024;28(12):1842-1848
BACKGROUND:Ankylosing spondylitis is a progressive inflammation of spinal stiffness deformity caused by tissue ossification and fibrosis.The posture of ankylosing spondylitis patients is abnormal and their activities are limited that minor injuries can lead to thoracolumbar fractures.Traditional medical image observation limits doctors'preoperative decision planning and postoperative disease prevention for ankylosing spondylitis treatment. OBJECTIVE:Based on the spinal model of ankylosing spondylitis patients before and after posterior spinal cancellous ossification osteotomy("Y"osteotomy for short),to explore the biomechanical changes of"Y"osteotomy and fixation in the treatment of ankylosing spondylitis. METHODS:Based on the preoperative and postoperative CT images of an ankylosing spondylitis patient who went to the Second Affiliated Hospital of Inner Mongolia Medical University,a three-dimensional spine model(T11-S1)before and after"Y"osteotomy(L3 osteotomy)was reconstructed in Mimics 19.0 software.A 7.5 Nm torque was applied to the top of T11 vertebral body to simulate the movement of the spine under six conditions:flexion,extension,left bending,right bending,left rotation and right rotation.Finally,the range of motion of each vertebral body,the stress of each intervertebral disc,and the stress of the screw rod system were simulated. RESULTS AND CONCLUSION:(1)After"Y"type osteotomy and posterior fixation,the range of motion of all vertebrae in the spine decreased,and the loss rate of upper vertebrae was large(L1:77.95%).(2)The maximum stress of the spinal intervertebral disc before operation occurred at the L1-L2 segment(0.55 MPa),and the maximum stress of the spinal intervertebral disc after operation occurred at the T11-T12 segment(0.50 MPa),and the stress of intervertebral disc below T12 was far less than that before operation.(3)The maximum stress of the screw rod system(166.67 MPa)occurred in the upper and middle segments of the rod body and the root of the pedicle screw.(4)In conclusion,the"Y"type posterior fixation operation enhances the stability of the spine and reduces the range of motion of the spine.The vertebral body decompression of the fixed segment is great and the stress-shielding phenomenon of the lower vertebral body is significant.The stiffness of the rod body and the stress concentration area of the pedicle screw should be strengthened to avoid the fracture of the rod caused by stress fatigue.
9.Value of nomogram based on dual-layer detector spectral CT quantitative parameters and conventional CT features for evaluating high-grade pattern of pulmonary invasive non-mucinous adenocarcinoma
Rong HONG ; Xiaoxia PING ; Su HU ; Xing XIONG ; Yang YU ; Chunhong HU
Chinese Journal of Radiology 2024;58(2):187-193
Objective:To explore the value of nomogram based on dual-layer detector spectral CT quantitative parameters and conventional CT feature in evaluating high-grade pattern (HGP) of pulmonary invasive non-mucinous adenocarcinoma.Methods:This study was a case-control study. A total of 71 patients with pathologically confirmed pulmonary invasive non-mucinous adenocarcinoma in the First Affiliated Hospital of Soochow University from February 2022 to May 2023 were retrospectively enrolled, which were divided into HGP and non-HGP groups according to pathological results. Conventional CT features were analyzed, including size, shape, density, internal signs, margins, and pleural retraction. The iodine concentration (IC), electron density (ED), and normalized iodine concentration (NIC) of the lesions in both the arterial phase (AP) and venous phase (VP) were measured. Differences between the two groups were analyzed using independent sample t-test, Mann-Whitney U test, or χ2 test. Multivariate logistic regression analysis was used to select the independent influencing factors of HGP in pulmonary invasive non-mucinous adenocarcinoma, and the conventional CT feature model, the spectral CT quantitative parameter model, and the combined model were constructed and expressed in a nomogram. The area under the curve (AUC) of receiver operating characteristic curve was used to assess the performance of each model, and was compared by DeLong test. Decision curves (DCA) was used to assess the clinical net benefit of the models. Results:There were significant differences between HGP group and non-HGP group in terms of density, lobulation, spiculation, IC AP, IC VP, NIC AP, ED AP and ED VP (all P<0.05). The multivariate logistic regression analysis showed that the solid nodule ( OR=15.452, 95% CI 4.246-56.235, P<0.001), lobulation ( OR=7.069, 95% CI 1.618-30.883, P=0.009), ED AP( OR=1.183, 95% CI 1.064-1.315, P=0.002) and IC VP ( OR=0.231, 95% CI 0.072-0.744, P=0.014) were independent influencing factors for predicting HGP in pulmonary invasive non-mucinous adenocarcinoma. The AUC of the conventional CT feature model, spectral CT quantitative parameter model, and the combined model were 0.835, 0.890, and 0.915, respectively. The AUC of the combined model was better than that of the conventional CT feature model ( Z=2.67, P=0.008). The DCA analysis demonstrated that the nomogram had higher clinical net benefit than the conventional CT feature model. Conclusions:The nomogram based on the quantitative parameters of dual-layer detector spectral CT and conventional CT features have favorable diagnostic efficacy in predicting HGP in pulmonary invasive non-mucinous adenocarcinoma, and can be used as a reliable tool for non-invasive diagnosis of HGP before surgery.
10.Analysis on the status quo and influencing factors of medication belief in patients with myasthenia gravis
Bingxing CAI ; Lanxing LIU ; Yuying YAN ; Yining SU ; Zhenni WANG ; Yuemeng XING ; Yunying YANG
Chongqing Medicine 2024;53(1):55-59
Objective To explore the status quo of medication belief in the patients with myasthenia gravis and analyze their influencing factors,so as to provide reference for health care professionals to develop targeted interventions.Methods A total of 145 patients with myasthenia gravis visiting the First Affiliated Hospital of Guangzhou University of Chinese Medicine from July 2021 to March 2022 were selected.The Be-liefs about Medicines Questionnaire(BMQ)was used to investigate.The multiple linear regression was used to analyze the relevant influencing factors.Results The scores of medication belief,necessity belief and con-cern belief in 145 patients were(4.17±1.23)points,(19.52±3.45)points and(18.29±4.26)points respec-tively.There was statistically significant difference between the scores of necessity belief and concern belief(P<0.05).The education level,financial burden,duration of illness,length of medication,number of recur-rent hospitalizations,and inappropriate medication-induced exacerbations had influence on the medication be-lief scores of the patients with myasthenia gravis(P<0.05).The duration of illness,length of medication and number of recurrent hospitalizations had the influence on the medication necessity scores of patients with my-asthenia gravis(P<0.05).The financial burden had the influence on the medication concerns scores of the patients with myasthenia gravis(P<0.05).Conclusion The medication belief in the patient swith myasthe-nia gravis is at a low level,and the number of recurrent hospitalizations and financial burden are the independ-ent risk factors affecting the medication belief scores in the patients with myasthenia gravis.The number of recurrent hospitalizations is an independent risk factor for the score of medication necessity dimension.


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