1. Ligustilide delays senescence of auditory cortex in mice by inhibiting ferritinophagy
Ying-Dong ZHOU ; Meng-Xian ZHANG ; Qing-Ling WANG ; Hao-Ran KANG ; Zhi-Cheng ZHANG ; Xiang-Dong GUO ; Qing-Lin WANG ; Ya-Min LIU
Chinese Pharmacological Bulletin 2024;40(3):455-461
Aim To investigate the mechanism of ligu aged 2 months of the same strain were used as the constilide (LIG) in delaying the senescence of auditory trol (Ctrl) group. Auditory brainstem response test was cortex and treating central presbycusis. Methods used to detect the auditory threshold of mice before and Forty C57BL/6J mice aged 13 months were randomly di after treatment. Levels of serum MDA and activity of vided into ligustilide low-dose(L-LIG) group, ligustil serum SOD were detected to display the level of oxidative ide medium-dose (M-LIG) group, ligustilide high-dose stress. The pathological changes of auditory cortex were (H-LIG) group and aging (Age) group, and 10 mice observed by HE staining. Ferroptosis was observed by
2.Application of deep learning in automatic segmentation of clinical target volume in brachytherapy after surgery for endometrial carcinoma
Xian XUE ; Kaiyue WANG ; Dazhu LIANG ; Jingjing DING ; Ping JIANG ; Quanfu SUN ; Jinsheng CHENG ; Xiangkun DAI ; Xiaosha FU ; Jingyang ZHU ; Fugen ZHOU
Chinese Journal of Radiological Health 2024;33(4):376-383
Objective To evaluate the application of three deep learning algorithms in automatic segmentation of clinical target volumes (CTVs) in high-dose-rate brachytherapy after surgery for endometrial carcinoma. Methods A dataset comprising computed tomography scans from 306 post-surgery patients with endometrial carcinoma was divided into three subsets: 246 cases for training, 30 cases for validation, and 30 cases for testing. Three deep convolutional neural network models, 3D U-Net, 3D Res U-Net, and V-Net, were compared for CTV segmentation. Several commonly used quantitative metrics were employed, i.e., Dice similarity coefficient, Hausdorff distance, 95th percentile of Hausdorff distance, and Intersection over Union. Results During the testing phase, CTV segmentation with 3D U-Net, 3D Res U-Net, and V-Net showed a mean Dice similarity coefficient of 0.90 ± 0.07, 0.95 ± 0.06, and 0.95 ± 0.06, a mean Hausdorff distance of 2.51 ± 1.70, 0.96 ± 1.01, and 0.98 ± 0.95 mm, a mean 95th percentile of Hausdorff distance of 1.33 ± 1.02, 0.65 ± 0.91, and 0.40 ± 0.72 mm, and a mean Intersection over Union of 0.85 ± 0.11, 0.91 ± 0.09, and 0.92 ± 0.09, respectively. Segmentation based on V-Net was similarly to that performed by experienced radiation oncologists. The CTV segmentation time was < 3.2 s, which could save the work time of clinicians. Conclusion V-Net is better than other models in CTV segmentation as indicated by quantitative metrics and clinician assessment. Additionally, the method is highly consistent with the ground truth, reducing inter-doctor variability and treatment time.
3.Current status and progress of artificial intelligence in endoscopic and imaging diagnosis of colorectal cancer
Xian ZHANG ; Qingguo WANG ; Yunzhang CHENG ; Chen HUANG
Chinese Journal of Digestive Surgery 2024;23(4):622-628
Colorectal cancer is a common malignant tumor of the digestive system globally, with both its incidence and mortality rates increasing annually in China. In recent years, there has been exponential growth in technology based on artificial intelligence, leading to significant advancements in the field of medical imaging diagnosis. Particularly in the application of colonoscopy, CT and magnetic resonance imaging (MRI), artificial intelligence, leveraging its advanced image recognition and feature analysis capabilities, has provided new perspectives for the diagnosis of colorectal cancer, thereby driving the realization of precision medicine. Currently, various artificial intelligence algorithms are either under development or optimization, such as performance comparisons of various artificial intelligence-assisted systems, the collaborative application of multiple algorithms, and integration with other omics. Additionally, challenges persist in the integration difficulty, interpre-tability and credibility, as well as cost and resource limitations of AI in clinical practice, necessitating further standardization and improvement. The authors explore the current status and progress of artificial intelligence in endoscopic and imaging diagnosis of colorectal cancer from four aspects: colonoscopy, CT, MRI and other imaging examination for reference and reference by peers.
4.Baicalein:A potential GLP-1R agonist improves cognitive disorder of diabetes through mitophagy enhancement
Liu NA ; Cui XIN ; Yan WENHUI ; Guo TINGLI ; Wang ZHUANZHUAN ; Wei XIAOTONG ; Sun YUZHUO ; Liu JIEYUN ; Xian CHENG ; Ma WEINA ; Chen LINA
Journal of Pharmaceutical Analysis 2024;14(8):1189-1204
There is increasing evidence that the activation of glucagon-like peptide-1 receptor(GLP-1R)can be used as a therapeutic intervention for cognitive disorders.Here,we have screened GLP-1 R targeted com-pounds from Scutellaria baicalensis,which revealed baicalein is a potential GLP-1 R small-molecule agonist.Mitophagy,a selective autophagy pathway for mitochondrial quality control,plays a neuro-protective role in multiple cognitive impairment diseases.We noticed that Glp1r knock-out(KO)mice present cognitive impairment symptoms and appear worse in spatial learning memory and learning capacity in Morris water maze(MWM)test than their wide-type(WT)counterparts.Our mechanistic studies revealed that mitophagy is impaired in hippocampus tissue of diabetic mice and Glp1r KO mice.Finally,we verified that the cognitive improvement effects of baicalein on diabetic cognitive dysfunction occur through the enhancement of mitophagy in a GLP-1 R-dependent manner.Our findings shed light on the importance of GLP-1 R for cognitive function maintenance,and revealed the vital significance of GLP-1R for maintaining mitochondrial homeostasis.Furthermore,we identified the therapeutic potential of baicalein in the treatment of cognitive disorder associated with diabetes.
5.Analyzing the impact of electroacupuncture on the structure and function of gut microbiota by using microbiota-derived extracellular vesicles in high-fat diet-induced obesity mice
Xian-Yun WANG ; Yuan-Cheng SI ; Lu-Qi GAO ; Zhi-Ju LI ; Zhao-Xia KANG
Parenteral & Enteral Nutrition 2024;31(2):65-72
Objective:To explore the effects of electroacupuncture in regulating the intestinal flora of high-fat diet (HFD)-fed mice from microbiota-derived extracellular vesicles. Methods:Obese mice with established nutritional obesity model were randomly divided into either the model group (n=10) or the electroacupuncture group (n=10). Acupuncture groups were chosen to pinprick points of Zhongwan, Guanyuan, Tianshu and Zusanli. Stool samples were collected from groups at the end of the intervention and extracellular vesicles (EVs) were isolated using ultracentrifugation. The morphology of EVs isolated from the stool was confirmed by transmission electron microscopy (TEM) and analysis of the associated intestinal flora by extracting microbial DNA from them for 16S rRNA sequencing. Results:The weight and Lee's index of obese mice decreased significantly after electroacupuncture intervention treatment (P<0.01). TEM images showed that EV extracted from stools were in the form of round or oval double-membraned vesicle-like structures. The 16S rRNA sequencing analysis showed that at the phylum level, the relative abundance of Proteobacteria in the model group was significantly higher than that of the normal group (P<0.05), while the relative abundance of Frimicutes and Bacteroidetes was significantly lower than that of the normal group(P<0.05). At the genus level, expressions of Psychrobacter and Planomicrobium in the model group were significantly higher than those in the normal group (P<0.01), while expressions of Solibacillus, Solibacillus, Proteus, Lactobacillus, Agrobacterium, Enterobacter, Brevundimonas, and Comamonas were significantly lower than those in the normal group (P<0.05). After electroacupuncture intervention, the intestinal microbial diversity of experimental mice increased, and the flora structure was closer to that of normal mice. Conclusion:Structural changes in the gut flora of nutritionally obese mice accompanied by changes in gut microbial-derived EVs profiles, and 16S rRNA sequencing analysis showed that microbial DNA in gut microbial-derived EVs reflected the composition of the gut microbiota, and that electroacupuncture for the treatment of obesity was not only related to the modulation of the gut flora, but was also closely related to gut microbial-derived EVs.
6.Synthesis and characterization of matrix metalloproteinase-responsive BDNF controlled-release materials
Jun-Ru HEI ; Cui WANG ; Meng-Wen SONG ; Sheng-Qiang XIE ; Bing-Xian WANG ; Xiao-Juan LAN ; Han-Bo ZHANG ; Gang CHENG ; Zhi-Qiang LIU ; Xi-Qin YANG ; Jian-Ning ZHANG
Medical Journal of Chinese People's Liberation Army 2024;49(11):1319-1326
Objective To develop a matrix metalloproteinase(MMP)-responsive hyaluronic acid(HA)-based controlled-release material for brain-derived neurotrophic factor(BDNF)to provide a novel therapeutic strategy for intervention and repair of traumatic brain injury(TBI).Methods HA was modified with amination,followed by condensation with Suflo-SMCC carboxyl group to form amide,and then linked with glutathione(GSH)to synthesize HA-GSH.The recombinant glutathione S-transferase(GST)-tissue inhibitor of metalloproteinase(TIMP)-BDNF(GST-TIMP-BDNF)expression plasmid was constructed using molecular cloning technique with double enzyme digestion by Bam H Ⅰ and Eco R Ⅰ.The recombinant GST-TIMP-BDNF protein was expressed in the Escherichia coli prokaryotic expression system,and purified by ion exchange chromatography,confirmed by Western blotting.MMP diluents were supplemented with PBS,MMP inhibitor marimastat,and varing concentrations(0.4,0.6,0.8 mg/ml)of GST-TIMP-BDNF or GST-BDNF.MMP-2 activity was analyzed using an MMP activity detection kit to evaluate the inhibitory effect of the recombinant protein on MMP.Primary rat neurons were extracted and cultured to establish an iron death model induced by RSL3.The effect of recombinant protein GST-TIMP-BDNF on neuronal injury was detected by immunofluorescence staining.Results MRI hydrogen spectrum identification confirmed the successful synthesis of HA-GSH.Western blotting results showed the successful expression of the recombinant protein GST-TIMP-BDNF containing the GST tag using the E.coli prokaryotic expression system.MMP activity detection results indicated that the recombinant protein GST-TIMP-BDNF had a superior inhibitory effect on MMP-2 activity compared to GST-BDNF(P<0.05).Immunofluorescence staining results showed a significant increase in fluorescence intensity in rat neurons treated with GST-TIMP-BDNF after RSL3 induction(P<0.05).Conclusion A MMP-responsive HA-based BDNF controlled-release material has been successfully developed,exhibiting a protective effect on neuron damage.
7.Association between exposure patterns of adverse childhood experiences and anxiety symptom trajectories in medical college students.
Shu Qin LI ; Zhi Cheng JIANG ; Ruo Yu LI ; Zheng Ge JIN ; Rui WANG ; Xian Bing SONG ; Shi Cheng ZHANG ; Yu Hui WAN
Chinese Journal of Preventive Medicine 2023;57(7):1004-1010
Objective: To analyze the association between exposure patterns of adverse childhood experiences (ACEs) and anxiety symptom trajectories in medical college students. Methods: A survey was conducted on first-year students from Anhui Medical College and Anqing Medical College, using the Childhood Abuse Questionnaire, Family Disability Questionnaire, Childhood Adverse Social Experience Item, and Anxiety Self Rating Scale. The baseline survey was conducted from November to December 2019, and two follow-up visits were conducted once every six months until November to December 2020. The latent class analysis (LCA) was used to analyze the exposure patterns of ACEs. The latent class growth analysis (LCGA) was used to analyze the development trajectory of anxiety symptoms. The multiple logistic regression model was used to analyze the correlation between different exposure patterns of ACEs and the trajectory of anxiety symptom trajectories. Results: A total of 3 662 college students aged (19.2±1.0) were surveyed. The LCA showed that the exposure patterns of ACEs could be divided into the "high ACEs" group (13.4%), "high neglect/emotional abuse" group (25.7%), "high family dysfunction" group (6.9%), "high neglect" group (27.1%), and "low ACEs" group (26.3%). The LCGA divided anxiety trajectories into four groups: "high anxiety decline" (7.1%),"anxiety increase "(4.1%), "moderate anxiety"(52.9%), and "low anxiety"(35.9%). Using the low ACEs group as a reference group, compared with the low anxiety trajectory, the high ACEs group, high neglect/emotional abuse group, high family dysfunction group, high neglect group, and medium to high-level anxiety trajectory were all associated with an increased risk (P<0.05). Conclusion: There is heterogeneity in ACEs exposure patterns among medical college students, and ACEs exposure patterns are important influencing factors for anxiety symptom trajectories.
Humans
;
Adverse Childhood Experiences
;
Anxiety/epidemiology*
;
Child Abuse/psychology*
;
Students/psychology*
;
Surveys and Questionnaires
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Adolescent
;
Young Adult
8.Treatment and outcome of a young female patient with severe aortic stenosis and complex coronary disease associated with familial hypercholesterolemia: a case report.
Kai Min WU ; Bin WANG ; Guo Ming ZHANG ; Fei LIU ; Li Cheng DING ; Guang Feng SUN ; Wei Mei OU ; Zhi Xian LIU ; Cheng Min HUANG ; Yan WANG
Chinese Journal of Cardiology 2023;51(3):310-313
9.Analysis of risk factors of mortality in infants and toddlers with moderate to severe pediatric acute respiratory distress syndrome.
Bo Liang FANG ; Feng XU ; Guo Ping LU ; Xiao Xu REN ; Yu Cai ZHANG ; You Peng JIN ; Ying WANG ; Chun Feng LIU ; Yi Bing CHENG ; Qiao Zhi YANG ; Shu Fang XIAO ; Yi Yu YANG ; Xi Min HUO ; Zhi Xian LEI ; Hong Xing DANG ; Shuang LIU ; Zhi Yuan WU ; Ke Chun LI ; Su Yun QIAN ; Jian Sheng ZENG
Chinese Journal of Pediatrics 2023;61(3):216-221
Objective: To identify the risk factors in mortality of pediatric acute respiratory distress syndrome (PARDS) in pediatric intensive care unit (PICU). Methods: Second analysis of the data collected in the "efficacy of pulmonary surfactant (PS) in the treatment of children with moderate to severe PARDS" program. Retrospective case summary of the risk factors of mortality of children with moderate to severe PARDS who admitted in 14 participating tertiary PICU between December 2016 to December 2021. Differences in general condition, underlying diseases, oxygenation index, and mechanical ventilation were compared after the group was divided by survival at PICU discharge. When comparing between groups, the Mann-Whitney U test was used for measurement data, and the chi-square test was used for counting data. Receiver Operating Characteristic (ROC) curves were used to assess the accuracy of oxygen index (OI) in predicting mortality. Multivariate Logistic regression analysis was used to identify the risk factors for mortality. Results: Among 101 children with moderate to severe PARDS, 63 (62.4%) were males, 38 (37.6%) were females, aged (12±8) months. There were 23 cases in the non-survival group and 78 cases in the survival group. The combined rates of underlying diseases (52.2% (12/23) vs. 29.5% (23/78), χ2=4.04, P=0.045) and immune deficiency (30.4% (7/23) vs. 11.5% (9/78), χ2=4.76, P=0.029) in non-survival patients were significantly higher than those in survival patients, while the use of pulmonary surfactant (PS) was significantly lower (8.7% (2/23) vs. 41.0% (32/78), χ2=8.31, P=0.004). No significant differences existed in age, sex, pediatric critical illness score, etiology of PARDS, mechanical ventilation mode and fluid balance within 72 h (all P>0.05). OI on the first day (11.9(8.3, 17.1) vs.15.5(11.7, 23.0)), the second day (10.1(7.6, 16.6) vs.14.8(9.3, 26.2)) and the third day (9.2(6.6, 16.6) vs. 16.7(11.2, 31.4)) after PARDS identified were all higher in non-survival group compared to survival group (Z=-2.70, -2.52, -3.79 respectively, all P<0.05), and the improvement of OI in non-survival group was worse (0.03(-0.32, 0.31) vs. 0.32(-0.02, 0.56), Z=-2.49, P=0.013). ROC curve analysis showed that the OI on the thind day was more appropriate in predicting in-hospital mortality (area under the curve= 0.76, standard error 0.05,95%CI 0.65-0.87,P<0.001). When OI was set at 11.1, the sensitivity was 78.3% (95%CI 58.1%-90.3%), and the specificity was 60.3% (95%CI 49.2%-70.4%). Multivariate Logistic regression analysis showed that after adjusting for age, sex, pediatric critical illness score and fluid load within 72 h, no use of PS (OR=11.26, 95%CI 2.19-57.95, P=0.004), OI value on the third day (OR=7.93, 95%CI 1.51-41.69, P=0.014), and companied with immunodeficiency (OR=4.72, 95%CI 1.17-19.02, P=0.029) were independent risk factors for mortality in children with PARDS. Conclusions: The mortality of patients with moderate to severe PARDS is high, and immunodeficiency, no use of PS and OI on the third day after PARDS identified are the independent risk factors related to mortality. The OI on the third day after PARDS identified could be used to predict mortality.
Female
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Male
;
Humans
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Child, Preschool
;
Infant
;
Child
;
Critical Illness
;
Pulmonary Surfactants/therapeutic use*
;
Retrospective Studies
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Risk Factors
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Respiratory Distress Syndrome/therapy*
10.Research advances in mechanism of lipid infiltration of coronary heart disease and simultaneous treatment of phlegm and blood stasis based on phlegm-blood stasis correlation theory.
Sen-Jie ZHONG ; Jing LI ; Ling-Jun WANG ; Zi-Xin CHEN ; Hui WU ; Jie CHEN ; Hong-Cheng FANG ; Shao-Xiang XIAN
China Journal of Chinese Materia Medica 2023;48(6):1431-1437
Atherosclerosis(AS) is the key pathological basis of coronary heart disease(CHD), and lipid infiltration is a classical theory to explain the pathological mechanism of AS. The theory highlights that the occurrence and development of AS are closely related to abnormal lipid metabolism, with the essence of the pathological reaction caused by the invasion of lipids into arterial intima from plasma. Phlegm and blood stasis are physiologically homologous and subject to pathological co-existence. Phlegm-blood stasis correlation is the basic theory to explain the pathogenesis characteristics of CHD and has important guiding significance for revealing the mecha-nism of lipid infiltration of CHD. Phlegm is the pathological product of abnormal metabolism of Qi, blood, and body fluid, and a gene-ral summary of a series of abnormally expressed lipid substances. Among them, turbid phlegm invades the heart vessels, gradually accumulates, and condenses to achieve the qualitative change from "invisible pathogen" to "tangible pathogen", which corresponds to the mechanism of lipid migration and deposition in the intima of blood vessels, and is the starting factor of the disease. Blood stasis is the continuous development of phlegm, and it is a result of pathological states such as decreased blood fluidity, increased blood coagulation, and abnormal rheology. The fact that blood stasis caused by phlegm accords with the pathological process of "lipid abnormality-circulatory disturbance" and is the central link of the disease. Phlegm and blood stasis aggravate each other and lead to indissoluble cementation. The phlegm-blood stasis combination serves as common pathogen to trigger the disease, which is the inevitable outcome of the disease. Based on the phlegm-blood stasis correlation theory, the simultaneous treatment of phlegm and blood stasis is established. It is found that this therapy can simultaneously regulate blood lipid, reduce blood viscosity, and improve blood circulation, which can fundamentally cut off the biological material basis of the reciprocal transformation between phlegm and blood stasis, thus exerting a significant curative effect.
Humans
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Medicine, Chinese Traditional
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Coronary Disease
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Mucus
;
Atherosclerosis
;
Lipids

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