1.Research progress on unplanned readmissions in patients with left ventricular assist devices
Yaxie HE ; Li XIAO ; Mengshi CHEN ; Yushuang SU ; Qin YANG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(06):869-874
The implantation of left ventricular assist device (LVAD) has significantly improved the quality of life for patients with end-stage heart failure. However, it is associated with the risk of complications, with unplanned readmissions gaining increasing attention. This article reviews the influencing factors, prediction methods and models, and intervention measures for unplanned readmissions in LVAD patients, aiming to provide scientific guidance for clinical practice, assist healthcare professionals in accurately assessing patients' conditions, and develop rational care plans.
2.Mongolian medicine Mingmu-11 Pills combined with Conbercept in the treatment of wet age-related macular degeneration
Riguga SU ; Linlin RAN ; Qin XIAO
International Eye Science 2024;24(5):691-696
AIM: To evaluate the clinical efficacy of Mongolian medicine Mingmu-11 Pills combined with conbercept in the treatment of wet age-related macular degeneration(wARMD).METHODS: Prospective study. All cases in this study were wARMD patients(72 cases, 72 eyes)admitted to the Ophthalmology Department of Affiliated Hospital of Inner Mongolia University from November 2020 to December 2021. They were randomly divided into a combined treatment group and a control group, each with 36 eyes, and the control group received intravitreal injection of conbercept 0.05 mL for 3 consecutive months. The combined treatment group was given Mingmu-11 Pills twice a day after surgery, with 3 wk as a course of treatment, a total of 3 courses, and the control group was not given Mongolian medicine treatment. The best corrected visual acuity(BCVA), changes in central macular thickness(CMT)in the macular area, and changes in N1, P1 wave amplitude density and latency were observed after treatment in both groups.RESULTS:The BCVA(letter number)of the two groups were improved(P<0.05), and the CMT were decreased(P<0.05). The improvement of BCVA(letter number)in the combined treatment group was better than that in the control group at 3 mo(17.42±3.29 vs 14.61±3.14, P<0.001)and 5 mo(19.75±3.25 vs 16.81±2.77, P<0.001)after treatment; compared with the control group, CMT of the combined treatment group was thinner than that of the control group at 3 mo(304.58±53.34 vs 351.94±52.99 μm, P<0.001)and 5 mo(274.17±62.26 vs 321.78±63.22 μm, P<0.05)after treatment. The amplitude density of N1 and P1 wave in mfERG in both groups at 3 mo after treatment was higher than that before treatment(P<0.05), and r1-r3 latency of P1 wave was shorter than that before treatment(P<0.05), with no differences in the r1-r3 latency of N1 wave(P>0.05). In addition, the amplitude density of N1 and P1 wave in the combined treatment group was higher than that in the control group at 3 mo after treatment(P<0.05), the latency of P1 wave in the treatment group was significantly shorter than that in the control group(P<0.05), and there was no significant difference in the latency of N1 wave between the two groups(P>0.05).CONCLUSIONS:Mingmu-11 Pills combined with intravitreal injection of conbercept in the treatment of wARMD has obvious efficacy in improving vision and reducing macular edema.
3.Excavation of Ancient Prescription of Chinese Medicinals for Whitening and Freckle-Removing(Erbai Yixin)Based on the Theory of"Lung Governs the Skin and Hair"
Lin SU ; Zongzhou WU ; Qian YU ; Chunpu ZOU ; Yue QIN ; Xiaoyu ZHANG ; Yangzhuangzhuang ZHU ; Xiao CHEN ; Zihang XU
Traditional Chinese Drug Research & Clinical Pharmacology 2024;35(1):35-45
Objective Based on the theory of"lung governs the skin and hair"in"Yellow Emperor's Inner Classic",this paper analyzes the medication rules of whitening and freckle-removing.The aim of this study is to provide reference for the clinical practice of traditional Chinese medicine(TCM)theory and the medication in TCM cosmetics.Methods"Chinese Medical Classics"was used to search the records of whitening and freckle-related drugs.The frequency,nature,flavor,meridian tropism and compatibility laws of TCM for whitening and freckle-removal were analyzed by statistics and association rules.The network pharmacology research was used to analyze the whitening and freckle-removing effects and mechanisms of high-frequency drugs.Then,the potential active ingredients were analyzed.The whitening and anti-freckle effect was verified through cytotoxicity experiments and melanin content detection.Results A total of 171 external prescriptions were selected in eligible articles,including 261 Chinese medicinals,most of which were pungent and belong to the lung meridian.The most frequently used Chinese medicinals was"Erbai Yixin"(EBYX,Angelicae Dahuricae Radix,Typhonii Rhizoma,Asari Radix et Rhizoma).Network pharmacological analysis showed that the core targets of EBYX for whitening and removing freckles are TP53,EGFR,ALB,etc.,which are mainly involved in oxygen perception and response,skin immune regulation,skin cell growth,differentiation,stress,inflammatory response,and other biological processes.Based on the results of molecular docking,biological analysis proved that the active ingredients of EBYX are chrysophanol,gallic acid and caffeic acid,which have inhibitory effects on the proliferation of melanoma cells and melanin production.Conclusion Most of the ancient prescriptions for whitening and removing freckles are pungent and belong to the lung meridian,which embodies the theory of"lung governs the skin and hair".The high-frequency drug EBYX may play a role by regulating skin redox,immunity and inflammation.The active ingredients of EBYX have an inhibitory effect on melanin formation.This study enriches the scientific connotation of TCM whitening and freckle-removing prescriptions based on the theory of"lung governs the skin and hair",realizes interdisciplinary integration and provides support for the modernization of TCM.
4.Establishment and analysis of osteoarthritis diagnosis model based on artificial neural networks
Yidong FAN ; Gang QIN ; Guowei SU ; Shifu XIAO ; Junliang LIU ; Weicai LI ; Guangtao WU
Chinese Journal of Tissue Engineering Research 2024;28(16):2550-2554
BACKGROUND:Rapid developments in the field of bioinformatics have provided new methods for the diagnosis of osteoarthritis.Artificial neural networks have powerful data computing and classification capabilities,which have shown better performance in disease diagnosis. OBJECTIVE:To establish a new diagnostic predictive model of osteoarthritis based on artificial neural network and to verify the diagnostic value of the model in osteoarthritis with an external dataset. METHODS:The eligible osteoarthritis-related data sets were downloaded through GEO database search and divided into Train group and Test group.The gene expression matrix of the Train group was analyzed to screen the differentially expressed genes.GO and KEGG enrichment analyses were performed on the differentially expressed genes.Through Lasso regression model,support vector machine model and random forest tree model,the key genes of osteoarthritis were further identified from the differentially expressed genes.The R software"Neuralnet"package was then used to construct the osteoarthritis diagnosis model based on artificial neural network,and the model performance was evaluated by the five-fold cross-validation.Two independent data sets in the Test group were used to verify their diagnostic results. RESULTS AND CONCLUSION:A total of 90 differentially expressed genes related to osteoarthritis were obtained by differential analysis,of which 33 were down-regulated and 57 were up-regulated.GO enrichment analysis showed that the differentially expressed genes were mainly involved in the following biological processes,including leukocyte-mediated immunity,leukocyte migration in bone marrow and chemokine production.KEGG enrichment analysis showed that these genes were mainly enriched in rheumatoid arthritis,interleukin-17 signaling pathway and osteoclast differentiation pathway.Five key genes for the diagnosis of osteoarthritis,HMGB2,GADD45A,SLC19A2,TPPP3 and FOLR2,were identified by three machine learning methods.The artificial neural network model of five key genes in the Train group showed that the accuracy was 96.36%and the area under the curve was 0.997.The five-fold cross validation of the neural network model showed that the average area under the curve was greater than 0.9 and the model was of robustness.Two independent data sets in the Test group showed its area under the curve was 0.814 and 0.788 respectively.Therefore,the establishment of an artificial neural network model for the diagnosis of osteoarthritis has a certain diagnostic value.
5.Establishment and optimization of drug screening model for N-type voltage-gated calcium channels in Xenopus laevis oocyte expression system
Yuan QIN ; Cheng CUI ; Xiao-peng ZHU ; Dong-ting ZHANGSUN ; Jin-peng YU ; Su-lan LUO
Acta Pharmaceutica Sinica 2024;59(7):2002-2011
N-type voltage-gated calcium (Ca2+) channels (N-type VGCC, CaV2.2) mediate Ca2+ influx in response to action potential at the presynaptic terminal, and play an important role in synaptogenesis, neurotransmitter release and nociceptive signal transduction. It is a new target for the development of drugs for the treatment of neuralgia (chronic pain) and other major diseases. Due to the difficulty of calcium channel expression
6.Causal association between depression and stress urinary incontinence:A two-sample bidirectional Mendelian randomization study
Cheng-Xiao JIANG ; Wei-Qi YIN ; Jing-Jing XU ; Ying-Jiao SHI ; Li WANG ; Zhi-Bo ZHENG ; Rui SU ; Qin-Bo HU ; Jun-Hai QIAN ; Shu-Ben SUN
National Journal of Andrology 2024;30(3):217-223
Objective:To investigate the causal correlation between depression and stress urinary incontinence(SUI)using Mendelian randomization(MR)analysis.Methods:We searched the FinnGen Consortium database for genome-wide association studies(GWAS)on depression and obtained 23 424 case samples and 192 220 control samples,with the GWAS data on SUI provided by the UK Biobank,including 4 340 case samples and 458 670 control samples.We investigated the correlation between depression and SUI based on the depression data collected from the Psychiatric Genomics Consortium(PGC).We employed inverse-variance weighting as the main method for the MR study,and performed sensitivity analysis to verify the accuracy and stability of the findings.Results:Analysis of the data from the UK Biobank and FinnGen Consortium showed that depression was significantly correlated with an increased risk of SUI(P=0.005),but not SUI with the risk of depression(P=0.927).And analysis of the PGC data verified the correlation of depression with the increased risk of SUI(P=0.043).Conclusion:Depression is associated with an increased risk of SUI,while SUI does not increase the risk of depression.
7. Rho A/ROCK signaling pathway involved in hyper responsiveness to aortic contraction in mice with type 2 diabetes
Shu-Zhen CHEN ; Yan-Xiang ZHENG ; Xiao-Yue QIN ; Chun-Yu DENG ; Shu-Zhen CHEN ; Yong-Jiang CAI ; Yan-Xiang ZHENG ; Xiao-Yue QIN ; Su-Juan KUANG ; Hui YANG ; Fang RAO ; Chun-Yu DENG ; Yong-Jiang CAI ; Chun-Yu DENG
Chinese Pharmacological Bulletin 2023;39(8):1484-1492
Aim To investigate the mechanism of RhoA/ROCK signaling pathway in abnormal aortic contractility in type 2 diabetes (T2DM) mice. Methods The experiment was divided into two groups, the control group (db/m mice) and the model group (db/db mice). Changes of the response to different methods were measured in aorta rings using a Multi Myograph System. At the same time, the protein expression changes of aortic smooth muscle contraction signaling pathway in mice were determined by Western method. Results Compared with the control group, the blood glucose and body weight levels of the mice in the T2DM group significantly increased, and the cardiac function was abnormal (P <0. 01). The contractile response of the aorta of the diabetic mice induced by the contractile agents Phe, 5-HT and CaCl
8.Association of the APP usage frequency and the effect in smoking cessation clinic intervention Association of the APP usage frequency with the effect in smoking cessation clinic intervention
Xiaowen WEI ; Rui QIN ; Anqi CHENG ; Xinmei ZHOU ; Zheng SU ; Ziyang CUI ; Jinxuan LI ; Dan XIAO ; Chen WANG
Chinese Journal of Health Management 2023;17(9):661-667
Objective:To explore the association between the frequency of using smoking cessation application (APP) and the effect of smoking cessation in smoking cessation clinic.Methods:A clinical trial with a non-randomized controlled design was conducted in the smoking cessation clinic of China-Japan Friendship Hospital from July 2019 to June 2021. Participants were given a comprehensive smoking cessation intervention of mobile APP combined with bupropion. The primary outcome measures were carbon monoxide validated sustained abstinence at 9-12 weeks.Results:A total of 187 participants were included in the final analysis. After 12-week intervention, the sustained abstinence at 9-12 weeks was 42.2%. For the frequency of APP use, 20.9% (39/187) of the participants used it≥6 days per week, 62.0% (116/187) used it 2-5 days per week, and 17.1% (32/187) used it≤1 day per week. Multivariate analysis showed that smoking cessation rate was associated with smoking duration, cigarettes smoked per day and frequency of APP use. Participants with higher frequency of APP use had a higher likelihood of quitting smoking ( OR=4.95, 95% CI: 1.32-18.63). Conclusion:The increased frequency of mobile smoking cessation APP use is associated with higher probability of quitting smoking in smoking cessation clinic.
9.mCessation program: study methods and baseline characteristics of enrolled participants
Anqi CHENG ; Xinmei ZHOU ; Xiaowen WEI ; Zheng SU ; Rui QIN ; Jinxuan LI ; Zhao LIU ; Liang ZHAO ; Dan XIAO ; Chen WANG
Chinese Journal of Health Management 2023;17(9):668-673
Objective:To describe the study methods and baseline characteristics of participants enrolled in mCessation program.Methods:This is a longitudinal, real-world study with non-randomized controlled design. The mCessation program consisted of a WeChat official account, an applet and a website using the same name ‘mCessation Online’. After users followed the WeChat account, filled in baseline information online and set a quit date, they would receive 162 short text messages in the next six and a half months as scheduled. This study collected the information of participants enrolled from May 26, 2021 to September 30, 2022, and analyzed baseline data including demographic characteristics, smoking characteristics, degree of tobacco dependence, reasons for smoking cessation and other related factors.Results:During the study period, a total of 16 746 participants registered, and 13 887 participants (82.9%) were enrolled in final analysis after screening the inclusion and exclusion criteria and completion of main indicators. Each year the number of enrolled participants in May or June was 1 381 to 2 707 per month, higher than the number of enrolled participants in other months (233 to 569 per month). Participants from North China accounted for the largest proportion (29.3%). There were 13 316 men (95.9%) in enrolled participants and the mean age was (36±10) years. Most participants were 25-34 (38.8%) or 35-44 (30.8%) years old. In terms of smoking characteristics, there were 12 564 (90.5%) daily smokers. The starting age of smoking was 18 (15, 20) years old. 11 866 participants (85.4%) were tobacco dependent, mostly with degree of mild (76.4%) or moderate (20.2%). In terms of reasons for quitting, 9 315 participants′ (67.1%) reasons were to prevent disease, 6 742 participants (48.5%) were concerned about impact of smoking on family members, and 6 731 participants (48.5%) were under requested by families.Conclusion:mCessation program can effectively recruit smokers with intention to quit in short time, especially those who were male, young and tobacco dependent.
10.Bioinformatics analysis of sterol O⁃acyltransferase 1 gene related to hepatocellular carcinoma
CHENG Ri na ; WANG Xiao⁃yu ; MA Qing ; KONG Ling⁃hua ; ZHANG Yu⁃qi ; QIN Kai⁃li ; ZHAO Ying⁃zhu ; SU Dan ; GONG Tao ; GUO Rui
Chinese Journal of Biologicals 2023;36(1):26-31
Abstract:Objective To predict the structure and function of sterol O⁃acyltransferase 1(SOAT1)related to hepatocellular
carcinoma(HCC)by using bioinformatics tools,in order to understand its mechanism as the marker and therapeutic target
of S⁃Ⅲ subtype. Methods The structure,function and protein interaction of SOAT1 were predicted and analyzed by using
databases or softwares such as NCBI,STRING,Protscale,SignalP,TMHMM,PSORT,SOPMA,SWISS ⁃ MODEL,
NetNGlyc,NetOGlyc,Netphos and ProtParam. Results The protein encoded by SOAT1 was a hydrophobic protein with
good stability,which was a nonclassical pathway protein with 8 transmembrane regions,mainly distributed among the
cell membrane. SOAT1 was expressed in many tissues,while most of them in the adrenal gland,which showed multiple
phosphorylation sites and was mainly involved in the synthesis and catabolism of cholesterol. Conclusion Bioinformatics
analysis of structure and function of SOAT1 showed that SOAT1 lipid synthesis and catabolism pathways played an important
role,and lipid expression was closely related to the development of cancer,indicating that the treatment of HCC may be
achieved by regulating the expression of SOAT1 gene.


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