1.Mechanism of cofilin in regulating prostate cancer progression and potential therapeutic strategies
Fang-zhi FU ; Li-tong WU ; En-min FENG ; Xiang ZHAO ; Neng WANG ; Biao WANG ; Qing ZHOU
Chinese Pharmacological Bulletin 2025;41(7):1206-1211
The molecular mechanisms underlying the develop-ment and metastasis of prostate cancer remain elusive.This comprehensive review delves into the intricate role of cofilin,an actin-binding protein,in the pathogenesis and progression of prostate cancer.Cofilin is a significant protein in cytoskeletal dynamics,and any dysregulation may result in the morphological changes in normal cells and the invasion and metastasis of tumor cells.Research has revealed that the activity of cofilin is regula-ted by various mechanisms,including phosphorylation/dephos-phorylation and interactions with other molecules.Moreover,this review discusses promising therapeutic interventions,such as co-filin inhibitors and gene therapy,which have demonstrated effica-cy in preclinical models.The challenge of clinically preventing the transition to castration-resistant prostate cancer and tumor metastasis is widely recognized,necessitating the development of precise drug treatments and biomarker identification.As a key regulatory protein,cofilin provides a more comprehensive refer-ence for the prevention and treatment of prostate diseases.
2.Effects of LINC00626 on proliferation,apoptosis and drug resistance of colorectal cancer SW480 cells
Liang LI ; Hao QIANG ; Shui-ri WANG ; Fu-long YU ; Song WANG ; Hui YUAN ; Ya-ru YANG ; Zhi-ning LIU
Chinese Pharmacological Bulletin 2025;41(10):1900-1905
Aim To investigate the high expression of LINC00626 in colorectal cancer,and explore the effects of LINC00626 on the proliferation,apoptosis,and drug sensitivity of colorectal cancer SW480 cells,as well as its underlying mechanisms.Methods Flu-orescence in situ hybridization(FISH)was used to de-tect the expression levels of LINC00626 in 38 colorec-tal cancer tissues and their corresponding adjacent nor-mal tissues.The JASPAR database was utilized to pre-dict co-expressed genes and their possible binding sites.Cell transfection technology was employed to knockdown LINC00626.Western blot and qRT-PCR techniques were used to verify the transfection efficien-cy.CCK-8 assay,cell apoptosis and necrosis staining,and Western blot were used to detect the changes in the proliferation,apoptosis,drug sensitivity,and ap-optotic proteins of SW480 cells,respectively.Results The FISH results indicated that LINC00626 was highly expressed in colorectal cancer tissues(P<0.05).The expression of LINC00626 was not associat-ed with the age or gender of patients,but was related to the TNM stage and the presence of lymph node me-tastasis($ P<0.05 $).The results of CCK-8 assay and cell apoptosis and necrosis staining showed that af-ter knockdown of LINC00626,the proliferation ability of SW480 cells decreased,the apoptosis level in-creased,and the drug resistance decreased(P<0.05).Western blot results showed that with the de-crease in the expression level of LINC00626,the ex-pression of caspase-3 protein decreased,the expression of cleaved caspase-3 protein increased,and the expres-sion of Bcl-2 protein decreased(P<0.05).Conclu-sions LINC00626 is highly expressed in colorectal cancer and is associated with the TNM stage and the presence of lymph node metastasis.LINC00626 can af-fect the proliferation,apoptosis,and drug sensitivity of SW480 cells and alter the expression of apoptotic pro-teins.
3.Effect of CYFIP1 on proliferation and apoptosis of colorectal cancer cell HT29
Fu-long YU ; Liang LI ; Hao QIANG ; Hui YUAN ; Song WANG ; Xiao-hu CHENG ; Run-ben JIANG ; Ya-ru YANG ; Zhi-ning LIU
Chinese Pharmacological Bulletin 2025;41(1):116-121
Aim To investigate the expression levels of cytoplasmic FMR1-interacting protein-1(CYFIP1)in colorectal cancer and assess the impact of CYFIP1 interaction on the proliferation and apoptosis of colorec-tal cancer cell HT29,along with its potential mecha-nisms.Methods Immunohistochemistry was em-ployed to assess CYFIP1 expression in 32 colorectal cancer tissues and adjacent tissues.Coexpressed genes were identified using the GEPIA2 website to predict potential correlations and binding sites.Following the construction of a siRNA-CYFIP1,alterations in cell proliferation,apoptosis,and levels of apoptosis-related proteins were evaluated through CCK-8 assay,Hoechst 33342/PI double staining assay,and Western blot a-nalysis,respectively.Results The immunohisto-chemical findings revealed a significantly elevated level of CYFIP1 expression in colorectal cancer tissues com-pared to paracancer tissues(P<0.05).The expres-sion of CYFIP1 did not show any correlation with age and gender,but exhibited associations with TNM stage and lymph node metastasis(P<0.05).A conserved TP53 binding site was predicted in the 3kbps DNA re-gion upstream of the CYFIP1 gene using GEPIA2,JASPAR databases,and rVista 2.0 promoter prediction software.Following transfection of HT29 cells with siRNA-CYFIP1,the clonogenesis and proliferation of cells significantly decreased(P<0.05).Additional-ly,the levels of cleaved caspase-3 were elevated,while the expression levels of caspase-3 and Bcl-2 were reduced after transfection with siRNA-CYFIP1(P<0.05),which might be related to the interaction be-tween CYFIP1 and TP53.Conclusions The upregu-lation of CYFIP1 in colorectal cancer is associated with TNM stage and lymph node metastasis.Upon silen-cing,CYFIP1 demonstrates the ability to suppress pro-liferation in HT29 cells and modulate the expression of apoptotic proteins.
4.Effects of LINC00626 on proliferation,apoptosis and drug resistance of colorectal cancer SW480 cells
Liang LI ; Hao QIANG ; Shui-ri WANG ; Fu-long YU ; Song WANG ; Hui YUAN ; Ya-ru YANG ; Zhi-ning LIU
Chinese Pharmacological Bulletin 2025;41(10):1900-1905
Aim To investigate the high expression of LINC00626 in colorectal cancer,and explore the effects of LINC00626 on the proliferation,apoptosis,and drug sensitivity of colorectal cancer SW480 cells,as well as its underlying mechanisms.Methods Flu-orescence in situ hybridization(FISH)was used to de-tect the expression levels of LINC00626 in 38 colorec-tal cancer tissues and their corresponding adjacent nor-mal tissues.The JASPAR database was utilized to pre-dict co-expressed genes and their possible binding sites.Cell transfection technology was employed to knockdown LINC00626.Western blot and qRT-PCR techniques were used to verify the transfection efficien-cy.CCK-8 assay,cell apoptosis and necrosis staining,and Western blot were used to detect the changes in the proliferation,apoptosis,drug sensitivity,and ap-optotic proteins of SW480 cells,respectively.Results The FISH results indicated that LINC00626 was highly expressed in colorectal cancer tissues(P<0.05).The expression of LINC00626 was not associat-ed with the age or gender of patients,but was related to the TNM stage and the presence of lymph node me-tastasis($ P<0.05 $).The results of CCK-8 assay and cell apoptosis and necrosis staining showed that af-ter knockdown of LINC00626,the proliferation ability of SW480 cells decreased,the apoptosis level in-creased,and the drug resistance decreased(P<0.05).Western blot results showed that with the de-crease in the expression level of LINC00626,the ex-pression of caspase-3 protein decreased,the expression of cleaved caspase-3 protein increased,and the expres-sion of Bcl-2 protein decreased(P<0.05).Conclu-sions LINC00626 is highly expressed in colorectal cancer and is associated with the TNM stage and the presence of lymph node metastasis.LINC00626 can af-fect the proliferation,apoptosis,and drug sensitivity of SW480 cells and alter the expression of apoptotic pro-teins.
5.Advacnes in right ventricular function in pulmonary hypertension:focus on the 7th World Symposium on Pulmonary Hypertension
Shao-fei LIU ; Rui-qi WANG ; Zhi-fu GUO ; Ni ZHU
Chinese Journal of Interventional Cardiology 2025;33(10):574-580
Since 1973,the World Symposium on Pulmonary Hypertension(WSPH)has served as a pivotal platform for the advancing research in pulmonary hypertension(PH).At the 6th WSPH in 2018,the WSPH expert group refined the definitions related to cardiopulmonary physiology and right ventricular(RV)failure,thereby underscoring the critical role of RV dysfunction in the progression of PH.With ongoing advances in the field,RV failure associated with PH has received increasing attention and is now recognized as an important determinant of the prognosis of PH.The 7th WSPH,held in Barcelona,Spain,in 2024,presented the latest perspectives on the RV pathophysiology and its interaction with the pulmonary vasculature.The symposium emphasized new insights into the pathology of RV failure,RV phenotypes across different PH subgroups,and progress in therapeutic approaches targeting RV dysfunction.Additionally,the WSPH expert group delineated prospective research directions and identified unresolved issues.This article will review the RV function-related updates from the 7th WSPH and summarize recent findings,providing a systematic review of the evolution and breakthroughs in RV function research within the context of PH.
6.Advacnes in right ventricular function in pulmonary hypertension:focus on the 7th World Symposium on Pulmonary Hypertension
Shao-fei LIU ; Rui-qi WANG ; Zhi-fu GUO ; Ni ZHU
Chinese Journal of Interventional Cardiology 2025;33(10):574-580
Since 1973,the World Symposium on Pulmonary Hypertension(WSPH)has served as a pivotal platform for the advancing research in pulmonary hypertension(PH).At the 6th WSPH in 2018,the WSPH expert group refined the definitions related to cardiopulmonary physiology and right ventricular(RV)failure,thereby underscoring the critical role of RV dysfunction in the progression of PH.With ongoing advances in the field,RV failure associated with PH has received increasing attention and is now recognized as an important determinant of the prognosis of PH.The 7th WSPH,held in Barcelona,Spain,in 2024,presented the latest perspectives on the RV pathophysiology and its interaction with the pulmonary vasculature.The symposium emphasized new insights into the pathology of RV failure,RV phenotypes across different PH subgroups,and progress in therapeutic approaches targeting RV dysfunction.Additionally,the WSPH expert group delineated prospective research directions and identified unresolved issues.This article will review the RV function-related updates from the 7th WSPH and summarize recent findings,providing a systematic review of the evolution and breakthroughs in RV function research within the context of PH.
7.Expert Consensus on the Ethical Requirements for Generative AI-Assisted Academic Writing
You-Quan BU ; Yong-Fu CAO ; Zeng-Yi CHANG ; Hong-Yu CHEN ; Xiao-Wei CHEN ; Yuan-Yuan CHEN ; Zhu-Cheng CHEN ; Rui DENG ; Jie DING ; Zhong-Kai FAN ; Guo-Quan GAO ; Xu GAO ; Lan HU ; Xiao-Qing HU ; Hong-Ti JIA ; Ying KONG ; En-Min LI ; Ling LI ; Yu-Hua LI ; Jun-Rong LIU ; Zhi-Qiang LIU ; Ya-Ping LUO ; Xue-Mei LV ; Yan-Xi PEI ; Xiao-Zhong PENG ; Qi-Qun TANG ; You WAN ; Yong WANG ; Ming-Xu WANG ; Xian WANG ; Guang-Kuan XIE ; Jun XIE ; Xiao-Hua YAN ; Mei YIN ; Zhong-Shan YU ; Chun-Yan ZHOU ; Rui-Fang ZHU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):826-832
With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.
8.A multicenter clinical study on intramedullary vancomycin injection for preventing periprosthetic joint infection in total knee arthroplasty
Te LIU ; Jun FU ; Shiguang LAI ; Zhuo ZHANG ; Chi XU ; Lei GENG ; Yang LUO ; Peng REN ; Xin ZHI ; Quanbo JI ; Heng ZHANG ; Runkai ZHAO ; Haichao REN ; Ye TAO ; Qingyuan ZHENG ; Zeyu FENG ; Jianfeng YANG ; Yiming WANG ; Pengcheng LI ; Shuai LIU ; Wei CHAI ; Xiang LI ; Huiwu LI ; Xiaogang ZHANG ; Baochao JI ; Xianzhe LIU ; Xinzhan MAO ; Jianbing MA ; Xiangxiang SUN ; Jiying CHEN ; Yonggang ZHOU ; Jinliang WANG ; Weijun WANG ; Guoqiang ZHANG ; Ming NI
Chinese Journal of Orthopaedics 2025;45(12):803-811
Objective:To explore the safety and efficacy of intraosseous regional administration (IORA) of vancomycin for preventing infection in primary total knee arthroplasty (TKA).Methods:A total of 124 patients with knee osteoarthritis undergoing TKA between February 2024 and May 2024 at nine hospitals were enrolled. Preoperative infection prophylaxis involved either IORA (0.5 g vancomycin administered via intraosseous regional infusion before incision) or intravenous infusion (1 g vancomycin via peripheral vein). The IORA group included 15 males and 47 females with a median age of 66.5 years (range, 60.0-70.0 years), while the intravenous group included 14 males and 48 females with a median age of 66.0 years (range, 61.8-70.3 years) years. Intraoperative samples were collected including fat and synovium tissues after incision, before prosthesis placement, and after tourniquet release; distal femoral cancellous bone during femoral osteotomy; proximal tibial cancellous bone during tibial osteotomy; proximal intercondylar cancellous bone before prosthesis placement; and peripheral blood from non-infused arms at surgery initiation and after tourniquet release. Vancomycin concentrations were measured using liquid chromatography-tandem mass spectrometry. Vital sign changes were recorded from admission to 5~10 minutes post-IORA (IORA group) or post-incision (intravenous group). Follow-ups were conducted on postoperative day 1 and 3, and at 1 and 3 months, to document complications including IORA-related adverse events, periprosthetic joint infections, surgical site infections, red man syndrome, acute kidney injury, deep vein thrombosis and so on.Results:Vancomycin concentrations in bone, fat, and synovial tissue samples were significantly higher in the IORA group than in the intravenous group ( P<0.05), while vancomycin concentrations in blood samples were significantly lower in the IORA group than in the intravenous group ( P<0.05). Only 7.3%(41/558) of tissue samples in the IORA group had vancomycin concentrations below 2.0 μg/g (the minimum inhibitory concentration of vancomycin against coagulase-negative staphylococcus), compared to 59.3%(331/558) in the intravenous group (χ 2=11.285, P<0.001). In the intravenous group, 16.9%(21/124) of blood samples had vancomycin concentrations exceeding 15.0 mg/L (the threshold associated with a significantly increased risk of nephrotoxicity), while all concentrations in the IORA group were below this threshold, the difference was statistically significant (χ 2=22.943, P<0.001). There were no statistically significant difference ( P>0.05) in vital signs changes before and after vancomycin administration between the two groups. Two patients in the intravenous group experienced incision exudate, while no other related complications occurred in either group. Conclusions:Compared to the traditional intravenous infusion of 1 g vancomycin, intraosseous injection of a low dose (0.5 g) of vancomycin achieves higher local tissue concentrations in the knee joint with a lower incidence of adverse reactions and is safe for infection prophylaxis. Despite guidelines not recommending the routine use of vancomycin for preventing infection after primary TKA, intraosseous injection of 0.5 g vancomycin may be considered intraoperatively for primary TKA in the following scenarios: patients in medical institutions with a high prevalence of methicillin-resistant staphylococcus aureus (MRSA) infections, patients with potential preoperative MRSA colonization, or patients with cephalosporin allergy.
9.Development and validation of a predictive model for postoperative blood pressure outcomes in primary aldosteronism based on CYP11B2 gene polymorphism
Qiangfeng FU ; Yongjia CHEN ; Shengtao ZENG ; Haoxiang XU ; Chenglin YANG ; Yue YANG ; Zhi CAO ; Wei WANG
Chinese Journal of Urology 2025;46(7):529-536
Objective:To construct and validate a clinical model combining CYP11B2 gene polymorphisms with clinical parameters to predict complete postoperative hypertension remission in primary aldosteronism patients.Methods:The clinical data of a total of 116 patients with primary aldosteronism who underwent unilateral adrenalectomy from April 2018 to August 2024 were retrospectively included. There were 63 males and 53 females,with a body mass index(BMI)of(25.50 ± 2.03)kg/m 2. Genomic DNA was extracted from venous blood leukocytes before surgery,and polymerase chain reaction-restriction fragment length polymorphisms(PCR-RFLP)were used to detect CYP11B2(rs1799998)promoter region 344(C > T)base substitution. The follow-up duration was more than 6 months,with the following parameters recorded at the last follow-up:plasma aldosterone,renin,serum potassium,and sodium levels. Blood pressure progression and antihypertensive medication usage were also assessed. The postoperative outcome was determined according to the Primary Aldosteronism Surgical Outcome score(PASO)for primary aldosteronism,and the specific criteria were as follows. ① Clinical complete remission:the patient's blood pressure returned to normal(< 140/90 mmHg,1 mmHg = 0.133 kPa)and all antihypertensive drugs were discontinued;②Partial clinical remission:blood pressure returns to normal,and the number or dose of antihypertensive drugs is reduced compared with before;③Clinical non-remission:blood pressure does not drop and antihypertensive drugs do not change or increase compared with before surgery. Patients were divided into complete and incomplete remission groups. The chi-square test was used for univariate analysis,followed by binary logistic forward conditional regression for multivariate analysis,and a variety of machine learning algorithms such as random forest,logistic regression,support vector machine and gradient lifter were integrated,and the results of multivariate analysis were included to construct a postoperative blood pressure outcome model,and the predictive performance of the model was evaluated by using receiver operating characteristic(ROC)curve,calibration curve and clinical decision curve. Results:The PCR-RFLP detection results of 116 cases showed the genotype distribution of CYP11B2(344C > T)(rs1799998)as follows:CC type in 50 cases(43.1%),CT type in 46 cases(39.7%),and TT type in 20 cases(17.3%). There were 74 cases in the complete remission group and 42 cases in the incomplete remission group,and the rate of complete remission with hypertension at the end of the operation was 63.8%. Univariate analysis showed that the the differences between complete remission group and incomplete remission group in body mass index[(24.27 ± 2.90)kg/m 2 vs.(26.98 ± 3.17)kg/m 2, P<0.001],preoperative hypertension grade(grade 1/2/3:29/29/16 cases vs. 9/13/20 cases, P = 0.012),preoperative antihypertensive drugs(0/1/≥ 2:25/32/17 cases vs. 7/15/20 cases, P = 0.016),and CYP11B2(344C > T)(CC/TT + CT:39/35 cases vs. 11/31 cases, P = 0.006)were statistically significant. Multivariate analysis showed that the type of preoperative antihypertensive drugs[≥ 2: OR = 5.26(95% CI 1.12?24.61, P = 0.016;1: OR = 4.55(95% CI 1.23?22.47), P = 0.025]was the strongest independent predictor,followed by CYP11B2(344C > T)[ OR = 4.02(95% CI 1.16?13.82), P = 0.028]and BMI[ OR = 3.96(95% CI 2.26?6.92), P < 0.001]. Comparing the receiver operating feature(ROC)curves of the four types of machine learning models,the best model was the support vector machine model with an area under the curve(AUC)of 0.88(95% CI 0.82?0.95),followed by the gradient elevator model of 0.83(95% CI 0.76?0.91),the logistic regression model of 0.78(95% CI 0.68?0.88),and the random forest model of 0.77(95% CI 0.68?0.86). The optimal threshold of the Yoden index of the support vector machine model was 0.588,with a sensitivity of 78.5% and a specificity of 86.5%. The clinical decision curve and calibration curve show that the support vector machine model has a higher net benefit and acceptable stability and reliability. Conclusions:The support vector machine model incorporating CYP11B2 gene polymorphisms,BMI,and types of preoperative antihypertensive medications could effectively predict postoperative hypertension remission in primary aldosteronism patients,providing new evidence for personalized treatment strategies
10.Development and multicenter validation of machine learning models for predicting postoperative pulmonary complications after neurosurgery.
Ming XU ; Wenhao ZHU ; Siyu HOU ; Hongzhi XU ; Jingwen XIA ; Liyu LIN ; Hao FU ; Mingyu YOU ; Jiafeng WANG ; Zhi XIE ; Xiaohong WEN ; Yingwei WANG
Chinese Medical Journal 2025;138(17):2170-2179
BACKGROUND:
Postoperative pulmonary complications (PPCs) are major adverse events in neurosurgical patients. This study aimed to develop and validate machine learning models predicting PPCs after neurosurgery.
METHODS:
PPCs were defined according to the European Perioperative Clinical Outcome standards as occurring within 7 postoperative days. Data of cases meeting inclusion/exclusion criteria were extracted from the anesthesia information management system to create three datasets: The development (data of Huashan Hospital, Fudan University from 2018 to 2020), temporal validation (data of Huashan Hospital, Fudan University in 2021) and external validation (data of other three hospitals in 2023) datasets. Machine learning models of six algorithms were trained using either 35 retrievable and plausible features or the 11 features selected by Lasso regression. Temporal validation was conducted for all models and the 11-feature models were also externally validated. Independent risk factors were identified and feature importance in top models was analyzed.
RESULTS:
PPCs occurred in 712 of 7533 (9.5%), 258 of 2824 (9.1%), and 207 of 2300 (9.0%) patients in the development, temporal validation and external validation datasets, respectively. During cross-validation training, all models except Bayes demonstrated good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.840. In temporal validation of full-feature models, deep neural network (DNN) performed the best with an AUC of 0.835 (95% confidence interval [CI]: 0.805-0.858) and a Brier score of 0.069, followed by Logistic regression (LR), random forest and XGBoost. The 11-feature models performed comparable to full-feature models with very close but statistically significantly lower AUCs, with the top models of DNN and LR in temporal and external validations. An 11-feature nomogram was drawn based on the LR algorithm and it outperformed the minimally modified Assess respiratory RIsk in Surgical patients in CATalonia (ARISCAT) and Laparoscopic Surgery Video Educational Guidelines (LAS VEGAS) scores with a higher AUC (LR: 0.824, ARISCAT: 0.672, LAS: 0.663). Independent risk factors based on multivariate LR mostly overlapped with Lasso-selected features, but lacked consistency with the important features using the Shapley additive explanation (SHAP) method of the LR model.
CONCLUSIONS:
The developed models, especially the DNN model and the nomogram, had good discrimination and calibration, and could be used for predicting PPCs in neurosurgical patients. The establishment of machine learning models and the ascertainment of risk factors might assist clinical decision support for improving surgical outcomes.
TRIAL REGISTRATION
ChiCTR 2100047474; https://www.chictr.org.cn/showproj.html?proj=128279 .
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ROC Curve

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