1.Aldehyde Dehydrogenase 2 Gene Mutation May Reduce the Risk of Rupture of Intracranial Aneurysm in Chinese Han Population
Xiheng CHEN ; Siming GUI ; Dachao WEI ; Dingwei DENG ; Yudi TANG ; Jian LV ; Wei YOU ; Jia JIANG ; Jun LIN ; Huijian GE ; Peng LIU ; Yuhua JIANG ; Lixin MA ; Yunci WANG ; Ming LV ; Youxiang LI
Journal of Stroke 2025;27(2):237-249
Background:
and Purpose Ruptured intracranial aneurysms (RIA) are associated with a mortality rate of up to 40% in the Chinese population, highlighting the critical need for targeted treatment interventions for at-risk individuals. Although the impact of aldehyde dehydrogenase 2 (ALDH2) gene mutations on susceptibility to intracranial aneurysms (IA) is well documented, the potential connection between ALDH2 rs671 single-nucleotide polymorphism (SNP) and RIA remains unexplored. Given the increased prevalence of ALDH2 gene mutations among Chinese Han individuals, it is clinically relevant to investigate the link between ALDH2 rs671 SNP and IA rupture.
Methods:
A prospective study was conducted on 546 patients diagnosed with IA to investigate the association between ALDH2 rs671 SNP and the risk of IA rupture.
Results:
The ALDH2 rs671 SNP (ALDH2*2) was significantly more prevalent in patients with unruptured IA (UIA) than in those with RIA (32.56% vs. 18.58%, P=0.004). Multivariate logistic regression analysis revealed that people with the ALDH2 mutation (ALDH2*1/*2 and ALDH2*2/*2 gene type) had a significantly reduced odds ratio (OR=0.49; 95% confidence level [CI] 0.27–0.88; P=0.018) for RIAs. Age-specific subgroup analysis indicated that the ALDH2 mutation provided a stronger protective effect in individuals aged 60 years and above with IA compared to those under 60 years old (OR=0.38 vs. OR=0.52, both P<0.05).
Conclusion
The incidence of RIA was significantly higher in individuals with a normal ALDH2 gene (ALDH2*1/*1) than in those with an ALDH2 rs671 SNP (ALDH2*1/*2 or ALDH2*2/*2). ALDH2 rs671 SNP may serve as a protective factor against RIA in the Chinese Han population.
2.Aldehyde Dehydrogenase 2 Gene Mutation May Reduce the Risk of Rupture of Intracranial Aneurysm in Chinese Han Population
Xiheng CHEN ; Siming GUI ; Dachao WEI ; Dingwei DENG ; Yudi TANG ; Jian LV ; Wei YOU ; Jia JIANG ; Jun LIN ; Huijian GE ; Peng LIU ; Yuhua JIANG ; Lixin MA ; Yunci WANG ; Ming LV ; Youxiang LI
Journal of Stroke 2025;27(2):237-249
Background:
and Purpose Ruptured intracranial aneurysms (RIA) are associated with a mortality rate of up to 40% in the Chinese population, highlighting the critical need for targeted treatment interventions for at-risk individuals. Although the impact of aldehyde dehydrogenase 2 (ALDH2) gene mutations on susceptibility to intracranial aneurysms (IA) is well documented, the potential connection between ALDH2 rs671 single-nucleotide polymorphism (SNP) and RIA remains unexplored. Given the increased prevalence of ALDH2 gene mutations among Chinese Han individuals, it is clinically relevant to investigate the link between ALDH2 rs671 SNP and IA rupture.
Methods:
A prospective study was conducted on 546 patients diagnosed with IA to investigate the association between ALDH2 rs671 SNP and the risk of IA rupture.
Results:
The ALDH2 rs671 SNP (ALDH2*2) was significantly more prevalent in patients with unruptured IA (UIA) than in those with RIA (32.56% vs. 18.58%, P=0.004). Multivariate logistic regression analysis revealed that people with the ALDH2 mutation (ALDH2*1/*2 and ALDH2*2/*2 gene type) had a significantly reduced odds ratio (OR=0.49; 95% confidence level [CI] 0.27–0.88; P=0.018) for RIAs. Age-specific subgroup analysis indicated that the ALDH2 mutation provided a stronger protective effect in individuals aged 60 years and above with IA compared to those under 60 years old (OR=0.38 vs. OR=0.52, both P<0.05).
Conclusion
The incidence of RIA was significantly higher in individuals with a normal ALDH2 gene (ALDH2*1/*1) than in those with an ALDH2 rs671 SNP (ALDH2*1/*2 or ALDH2*2/*2). ALDH2 rs671 SNP may serve as a protective factor against RIA in the Chinese Han population.
3.Aldehyde Dehydrogenase 2 Gene Mutation May Reduce the Risk of Rupture of Intracranial Aneurysm in Chinese Han Population
Xiheng CHEN ; Siming GUI ; Dachao WEI ; Dingwei DENG ; Yudi TANG ; Jian LV ; Wei YOU ; Jia JIANG ; Jun LIN ; Huijian GE ; Peng LIU ; Yuhua JIANG ; Lixin MA ; Yunci WANG ; Ming LV ; Youxiang LI
Journal of Stroke 2025;27(2):237-249
Background:
and Purpose Ruptured intracranial aneurysms (RIA) are associated with a mortality rate of up to 40% in the Chinese population, highlighting the critical need for targeted treatment interventions for at-risk individuals. Although the impact of aldehyde dehydrogenase 2 (ALDH2) gene mutations on susceptibility to intracranial aneurysms (IA) is well documented, the potential connection between ALDH2 rs671 single-nucleotide polymorphism (SNP) and RIA remains unexplored. Given the increased prevalence of ALDH2 gene mutations among Chinese Han individuals, it is clinically relevant to investigate the link between ALDH2 rs671 SNP and IA rupture.
Methods:
A prospective study was conducted on 546 patients diagnosed with IA to investigate the association between ALDH2 rs671 SNP and the risk of IA rupture.
Results:
The ALDH2 rs671 SNP (ALDH2*2) was significantly more prevalent in patients with unruptured IA (UIA) than in those with RIA (32.56% vs. 18.58%, P=0.004). Multivariate logistic regression analysis revealed that people with the ALDH2 mutation (ALDH2*1/*2 and ALDH2*2/*2 gene type) had a significantly reduced odds ratio (OR=0.49; 95% confidence level [CI] 0.27–0.88; P=0.018) for RIAs. Age-specific subgroup analysis indicated that the ALDH2 mutation provided a stronger protective effect in individuals aged 60 years and above with IA compared to those under 60 years old (OR=0.38 vs. OR=0.52, both P<0.05).
Conclusion
The incidence of RIA was significantly higher in individuals with a normal ALDH2 gene (ALDH2*1/*1) than in those with an ALDH2 rs671 SNP (ALDH2*1/*2 or ALDH2*2/*2). ALDH2 rs671 SNP may serve as a protective factor against RIA in the Chinese Han population.
4.Clinical Practice of Coronary Microvascular Disease with the Integrated Approach of Traditional Chinese and Western Medicine
Aolin LI ; Xinnong CHEN ; Lerong YU ; Jun GE ; Wei ZHOU ; Kangzheng GUO ; Junping ZHANG
Journal of Traditional Chinese Medicine 2025;66(16):1662-1667
This paper analyzed the traditional Chinese medicine (TCM) and western medical understanding of coronary microvascular disease (CMVD) from the three dimensions of "disease-syndrome-symptom". In western medicine, by summarizing the suspected diagnosis and understanding of CMVD, it is believed that inflammatory responses and vascular endothelial damage are the key mechanisms of the pathogenesis. From the perspective of TCM, the disease location is at blood, vessels and heart, and the fundamental cause is spleen and kidney depletion, closely realted to phlegm, stasis, toxin, wind and qi. Integrating the understanding of both TCM and western medicine, clinical treatment advocates taking the CMVD pathology as the base, and the TCM understanding of pathogenesis as the main focus. The properties of Chinese herbal medicinals is used as the guidance for medication, and the pharmacological understanding as the assisstance of treatment, with the medical history and the severity of the condition are additionally considered. It is finally proposed that during the acute phase, the methods of nourishing yin and resolving toxins, softening hardness and dissipating masses, dispelling wind and unblocking collaterals should be applied to alleviate the emergency. In the subacute phase, the focus should be on raising and lifting qi promote its movement, with flexible use of medicinals that can unblock yang. In the remission phase, the method of tonifying spleen and fortifying kidney should be used to maintain the stability of the condition.
5.Bioequivalence study of sidenafil citrate tablets in Chinese healthy subjects
Xiao-Bin LI ; Lu CHEN ; Xiu-Jun WU ; Yu-Xin GE ; Wen-Chao LU ; Ting XIAO ; He XIE ; Hua-Wei WANG ; Wen-Ping WANG
The Chinese Journal of Clinical Pharmacology 2024;40(3):430-434
Objective To evaluate the bioequivalence of oral sidenafil citrate tablets manufactured(100 mg)test preparations and reference preparations in healthy subjects under fasting and fed conditions.Methods Using a single-dose,randomized,open-lable,two-period,two-way crossover design,36 healthy subjects respectively for fasting and fed study were enrolled,and randomized into two groups to receive a single dose of test 100 mg with 7-day washout period.Plasma concentration of sidenafil and N-demethylsildenafil was determined by liquid chromatography-tandem mass spectrometry(LC-MS/MS)method.The pharmacokinetic parameters were calculated by Analyst 1.6.3(AB Scie)using non-compartmental model,and bioequivalence evaluation was performed for the two preparations.Relevant safety evaluations were performed during the trial.Results The main pharmacokinetic parameters of sidenafil after a single oral dose of sidenafil citrate tablets under fasting condition for test and reference were as follows:Cmax were(494.69±230.94)and(558.78±289.83)ng·mL-1,AUC0-t were(1 336.21±509.78)and(1 410.82±625.99)h·ng·mL-1,AUC0-were(1 366.49±512.16)and(1 441.84±628.04)h·ng·mL-1,respectively.The main pharmacokinetic parameters of sidenafil under fed condition for T and R were as follows:Cmax were(381.89±126.53)and(432.47±175.91)ng·mL-1,AUC0-t were(1 366.34±366.99)and(1 412.76±420.37)h·ng·mL-1,AUC0-were(1 403.28±375.32)and(1 454.13±429.87)h·ng·mL-1,respectively.The results demonstrated the bioequivalence of sidenafil citrate tablets between T and R.The incidence of adverse events in fasting and fed tests were 33.33%and 25.00%,respectively.No serious adverse event was reported.Conclusion The test and reference formulation of sidenafil citrate tablets were equivalent and was safe.
6.Temporal-spatial Generation of Astrocytes in the Developing Diencephalon.
Wentong HONG ; Pifang GONG ; Xinjie PAN ; Zhonggan REN ; Yitong LIU ; Guibo QI ; Jun-Liszt LI ; Wenzhi SUN ; Woo-Ping GE ; Chun-Li ZHANG ; Shumin DUAN ; Song QIN
Neuroscience Bulletin 2024;40(1):1-16
Astrocytes are the largest glial population in the mammalian brain. However, we have a minimal understanding of astrocyte development, especially fate specification in different regions of the brain. Through lineage tracing of the progenitors of the third ventricle (3V) wall via in-utero electroporation in the embryonic mouse brain, we show the fate specification and migration pattern of astrocytes derived from radial glia along the 3V wall. Unexpectedly, radial glia located in different regions along the 3V wall of the diencephalon produce distinct cell types: radial glia in the upper region produce astrocytes and those in the lower region produce neurons in the diencephalon. With genetic fate mapping analysis, we reveal that the first population of astrocytes appears along the zona incerta in the diencephalon. Astrogenesis occurs at an early time point in the dorsal region relative to that in the ventral region of the developing diencephalon. With transcriptomic analysis of the region-specific 3V wall and lateral ventricle (LV) wall, we identified cohorts of differentially-expressed genes in the dorsal 3V wall compared to the ventral 3V wall and LV wall that may regulate astrogenesis in the dorsal diencephalon. Together, these results demonstrate that the generation of astrocytes shows a spatiotemporal pattern in the developing mouse diencephalon.
Mice
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Animals
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Astrocytes
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Neuroglia/physiology*
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Diencephalon
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Brain
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Neurons
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Mammals
7.Nomogram Based on Conventional Ultrasound Combined with Contrast-Enhanced Ultrasound for Predicting Central Lymph Node Metastasis in Clinical Lymph Node-Negative Papillary Thyroid Carcinoma
Xiaomei ZHANG ; Qiaoli LI ; Xiaoyan GE ; Linan SHI ; Yanfei KANG ; Jun LI
Chinese Journal of Medical Imaging 2024;32(1):28-33,41
Purpose To establish a nomogram based on conventional ultrasound combined with contrast-enhanced ultrasound(CEUS)for predicting the probability of cervical central lymph node metastasis(CLNM)in clinical lymph node-negative(CN0)papillary thyroid carcinoma(PTC)patients.Materials and Methods A retrospective study was performed on 359 patients with single CN0 PTC,all of whom underwent thyroid surgery and prophylactic central compartment neck dissection in the First Affiliated Hospital of Shihezi University from September 2015 to March 2022.According to the postoperative pathological results,there were 116 cases with CLNM(+)and other 243 cases with CLNM(-).The indicators of gender,age,conventional ultrasound and CEUS were recorded,and multivariate stepwise Logistic regression was performed to screen out risk predictors to construct prediction models for CLNM in CN0 PTC.The receiver operating characteristic curves of prediction models were drawn,and the area under the curve(AUC)was further compared.The preferable prediction model was selected to establish the risk probability nomogram,and the prediction performance and clinical applicability of the nomogram model were assessed.Results Multivariate analysis showed that gender,age,the maximum diameter of nodule,capsule invasion and enhancement pattern on CEUS were risk factors for CLNM in CN0 PTC(all P<0.05).The AUC of prediction model 1 including the above five indicators was 0.753,and the AUC of prediction model 2 excluding CEUS indicator was 0.704.There were statistically significant difference in AUCs between the two models(Z=2.473,P=0.013).Prediction model 1 was selected to construct a risk probability nomogram for predicting CLNM in CN0 PTC.The nomogram had a C-index of 0.753 and showed well consistency on the calibration curve.Clinical decision curve analysis indicated that the nomogram could achieve ideal net benefit when the threshold probability was between 10.7%to 81.5%.Conclusion Gender,age,the maximum diameter of nodule,capsule invasion and enhancement pattern on CEUS may be the risk predictors for CLNM in CN0 PTC.The nomogram model based on the above indicators can predict the probability of CLNM effectively,and the CEUS indicators can substantially improve the prediction performance of the model.
8.Based on Network Pharmacology and Molecular Docking and Experimental Verification of the Mechanism of Miao-Yi-Ai-Tang Inhibiting the Proliferation of Small Cell Lung Cancer through WNT/β-Catenin Signaling Pathway
Shan CHEN ; Bo LI ; Zhengxing GE ; Tao TAN ; Jun ZHANG ; Mei YU ; Xiangqun GONG
World Science and Technology-Modernization of Traditional Chinese Medicine 2024;26(7):1847-1861
Objective To use network pharmacology to mine and predict the targets and related signaling pathways of Miaoyao Yiai Tang(Miao-Yi-Ai-Tang,MYAT)in the treatment of small cell lung cancer(SCLC).And animal experiments to verify its mechanism of action,to provide a theoretical basis for basic experiments and clinical applications.Methods The active ingredients of MYAT were obtained from the TCMSP database,combined with PubMed data,Swiss Target Prediction database and Uniprot database to obtain potential targets;SCLC-related genes were collected through the DrugBank database,Genecards database,OMIM database and TTD database,and the Venny 2.1 platform After obtaining the intersection genes of MYAT and SCLC,import them into the STRING database,construct a protein-protein interaction(PPI)network,use Cytoscape 3.9.1 software for visual analysis,and use Metascape database for GO enrichment analysis and KEGG pathway analysis,to predict the direct action target and signaling pathway of MYAT in the treatment of SCLC.Using AutoDock Tools 1.5.7 software for molecular docking to verify the close relationship between the two.For cytological experiment verification,the cultured cells were treated with MYAT and the expression of β-catenin,AXIN,c-myc was detected by qPCR,and the expression of β-catenin in the cells was detected by Western blot;animal experiments were established to establish a subcutaneous xenograft tumor model of lung cancer NCI-H446,to observe the effect of MYAT on tumor growth.Results A total of 65 effective components of MYAT,1368 SCLC genes,and 260 MYAT-SCLC intersection genes were obtained.Enrichment analysis showed that they were related to cancer pathways,PD-L1/PD-1 pathways,NF-κB pathways,Wnt and other signaling pathways.The results of molecular docking validation showed that the binding energies of active components and core target proteins were all<0 kJ·mol-1,which indicated that the protein could spontaneously bind to active components and be stable.Cell experiments showed that the expression levels of β-catenin,c-myc and AXIN mRNA were significantly down-regulated in the MYAT group(P<0.05).Animal experiments show that:MYAT can significantly inhibit the growth of tumors in vivo.Conclusion Miao-Yi-Ai-Tang can inhibit the proliferation of small cell lung cancer through Wnt/β-catenin signaling pathway.
9.An intelligent model for classifying supraventricular tachycardia mechanisms based on 12-lead wearable electrocardiogram devices
Hongsen WANG ; Lijie MI ; Yue ZHANG ; Lan GE ; Jiewei LAI ; Tao CHEN ; Jian LI ; Xiangmin SHI ; Jiancheng XIU ; Min TANG ; Wei YANG ; Jun GUO
Journal of Southern Medical University 2024;44(5):851-858
Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.
10.An intelligent model for classifying supraventricular tachycardia mechanisms based on 12-lead wearable electrocardiogram devices
Hongsen WANG ; Lijie MI ; Yue ZHANG ; Lan GE ; Jiewei LAI ; Tao CHEN ; Jian LI ; Xiangmin SHI ; Jiancheng XIU ; Min TANG ; Wei YANG ; Jun GUO
Journal of Southern Medical University 2024;44(5):851-858
Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

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