1.Integrating Transcriptomics and 3D Organoids to Investigate Mechanism of Periplaneta americana Extract Against Lung Adenocarcinoma
Qiong MA ; Chunxia HUANG ; Jiawei HE ; Yuting BAI ; Xingyue LIU ; Yuxuan XIONG ; Yang ZHONG ; Hengzhou LAI ; Yuling JIANG ; Xueke LI ; Qian WANG ; Yifeng REN ; Xi FU ; Funeng GENG ; Taoqing WU ; Ping XIAO ; Fengming YOU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(11):124-132
ObjectiveTo evaluate the antitumor activity of Periplaneta americana extract(PAE) against human-derived lung adenocarcinoma organoids(LUAD-PDOs) and to elucidate its potential mechanism based on transcriptomics. MethodsFresh tumor and adjacent normal tissues from patients with LUAD were collected to construct LUAD-PDOs and normal lung organoid(Nor-PDOs) models using 3D organoid culture technology. The effective intervention concentration of PAE was determined using the cell counting kit-8(CCK-8) assay. Experimental groups included the model group(LUAD-PDOs), normal group, model administration group(LUAD-PDOs+PAE), and normal administration group(Nor-PDOs+PAE). Hematoxylin-eosin(HE) staining was used to observe the pathological structures of PDOs, immunohistochemistry(IHC) was performed to detect the expressions of the proliferation marker Ki-67 and lung adenocarcinoma differentiation markers cytokeratin-7(CK-7) and Napsin A, TUNEL staining was applied to detect cell apoptosis. RNA sequencing(RNA-Seq) was conducted to identify differentially expressed genes(DEGs), followed by Gene Ontology(GO), Kyoto Encyclopedia of Genes and Genomes(KEGG), and Gene Set Enrichment Analysis(GSEA), alongside protein-protein interaction(PPI) network analysis to screen core mechanisms. Finally, key targets were validated by integrating external database analysis with immunofluorescence(IF). ResultsNor-PDOs and LUAD-PDOs that highly recapitulated the pathological characteristics of the primary tissues were successfully established. The CCK-8 assay determined that the effective intervention concentration of PAE was 16 g·L-1. Morphological observation showed that Nor-PDOs exhibited lumen-forming structures, whereas LUAD-PDOs displayed dense, solid structures. CCK-8 and TUNEL assays revealed that, compared with the model group, PAE intervention inhibited the proliferation of LUAD-PDOs and promoted apoptosis in LUAD cells, while showing no significant effect on the viability of Nor-PDOs. Transcriptomic analysis identified 719 DEGs that were significantly reversed after PAE intervention(347 up-regulated and 372 down-regulated)(P<0.05). GO enrichment analysis indicated that DEGs in the model administration group were significantly enriched in biological processes related to cell cycle regulation compared to the model group. KEGG pathway analysis revealed that PAE affected pathways related to proliferation and metabolism, including pathways in cancer and the p53 signaling pathway. GSEA further confirmed that PAE significantly enhanced the activity of the p53 signaling pathway(P<0.05). PPI network analysis indicated that breast cancer type 1 susceptibility protein(BRCA1) and checkpoint kinase 1(CHEK1) were the core down-regulated targets in the p53 pathway. IF verified the high expression of BRCA1 and CHEK1 in LUAD-PDOs and their significant downregulation after PAE intervention(P<0.05). Furthermore, survival analysis based on The Cancer Genome Atlas(TCGA) database indicated that low expression of BRCA1 and CHEK1 was significantly associated with prolonged overall survival in patients with LUAD(P<0.05). ConclusionPAE effectively inhibits proliferation of LUAD-PDOs and promotes their apoptosis, its anti-tumor mechanism is potentially associated with the activation of the p53 signaling pathway, with BRCA1 and CHEK1 genes likely serving as key downstream targets for the effects of PAE.
2.Development of an exercise program for patients with osteoporotic vertebral compression fractures
Xiaoqiong PENG ; Li PENG ; Xiaoxia LI ; Yuanyuan LIU ; Yawen HE ; Qiuyan FU ; Ping XIAO ; Tianwen HUANG
Modern Clinical Nursing 2025;24(7):60-67
Objective To develop a rehabilitation exercise program for the patients with osteoporotic vertebral compression fractures.Methods An online search was performed across both Chinese and English databases and websites to retrieve literature on rehabilitation exercises and related therapeutic measures for patients with osteoporotic vertebral compression fractures.Two researchers independently screened the retrieved literature,evaluated the quality,and extracted relevant evidence.Semi-structured interviews were conducted among 15 patients at various rehabilitation phases about the requirements of rehabilitation.A preliminary exercise program was developed and verified for the validity and feasibility using Delphi method.Results A rehabilitation exercise program was formulated.The program included five periods of preoperative period,bedridden period after surgery,ambulation period(1 week after surgery),weeks 2-8 after surgery and weeks 9-12 after surgery covering six domains of exercise type,exercise items,exercise duration,exercise frequency,exercise intensity and exercise safety.The response rate and effective rate over the two rounds of expert consultation were both 100.00%,with an authority coefficient of 0.94.The Kendall's W coefficients for secondary indicators in the two rounds of expert consultation were 0.184 and 0.334,respectively(both P<0.001).Conclusion The exercise program developed in this study for the patients with osteoporotic vertebral compression fractures is scientifically reliable and reasonable.The two features of continuity and staged characteristics in rehabilitation process are fully considered,thereby it offers a guidance for clinical healthcare professionals as well as the patients in development of practical and effective rehabilitation exercise plans.
3.Investigations into the Mechanism of Phycocyanin in Modulating the Wip1/p53 Pathway to Induce Apoptosis in Human Hepatocellular Carcinoma HepG2 Cells
Yun-Xi JIA ; Da HUO ; Chao YAO ; Min LI ; Fu-Ling LIU ; Hong YUAN ; Hui-Ting XUE ; Rui-Ping HU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(5):741-752
Hepatocellular carcinoma(HCC)is difficult to detect in its early stages and current treatment methods are associated with significant side effects and a high risk of developing drug resistance.This study aims to investigate the effect of phycocyanin(PC)on the apoptosis of human HCC HepG2 cells and its potential mechanism.HepG2 cells were treated with PC at concentrations of 0.1,0.25,0.5,1,2.5,5,and 10 μg/mL for 12 h,and with 10 μg/mL PC and 2.5 μmol/L Wip1 inhibitor(Wip1i)alone or in combination for 12 and 24 h,respectively.Cell proliferation levels were assessed using the CCK-8 cell proliferation-toxicity assay kit.Apoptosis levels were measured by Annexin V-FITC/Propidium Iodide double staining combined with flow cytometry.TMT(Tandem Mass Tag)proteomics quantitative technol-ogy was applied to analyze differential protein expression.Western blotting was used to detect the expres-sion levels of Wip1,p53,and phosphorylated-p53(Ser15)proteins.The CCK-8 assay revealed that PC effectively inhibited HepG2 cell proliferation in a concentration-dependent manner,with a half-maximal inhibitory concentration(IC50)of 19.37 μg/mL.Flow cytometry results showed that PC significantly in-duced apoptosis,with an apoptosis rate of 30.40%.Quantitative proteomics analysis indicated that PC induced activation of the p53 pathway.The CCK-8 assay showed that Wip1i enhanced the cytotoxic effect of PC on HepG2 cells.Western blotting confirmed that PC inhibited Wip1 expression,induced p53 pro-tein phosphorylation,and promoted the expression of total p53 protein.Additionally,Wip1i further en-hanced PC-mediated activation of the p53 pathway,increasing the expression of p53 and pP53(S15).In conclusion,PC may induce apoptosis by inhibiting the activity of the p53 negative regulator Wip1,thereby promoting apoptosis through the Wip1/p53 pathway.
4.Successful treatment of a case of lethal dose of felodipine poisoning with V-A ECMO
Xiangyu ZHU ; Mingyue SUN ; Yuan LIU ; Zhikun ZHAO ; Ping JIANG ; Weiwei PAN ; Ziyu WANG ; Yajuan ZHANG ; Jing FU ; Haichen YANG ; Yeping DU ; Jinsong ZHANG ; Yan SHI
Adverse Drug Reactions Journal 2025;27(6):369-371
A 36-year-old male developed unconsciousness and no response to voice stimuli after taking approximately 2 050 mg felodipine (the specific time was unknown). Two hours later, he was sent to the department of emergency by his family and admitted to the hospital. His vital signs showed body temperature 35.1 ℃, pulse 148 times/min, respiration 32 times/min, and blood pressure 65/34 mmHg. Acute drug poisoning, acute toxic cardiomyopathy, acute toxic shock, acute type Ⅱ respiratory failure, acute toxic encephalopathy, and acute renal failure were diagnosed based on the patient′s clinical manifestations combined with laboratory tests results, cardiac ultrasound, chest and abdominal CT scans. Endotracheal intubation connected to a ventilator for invasive assisted ventilation, pressure boosting, and fluid resuscitation were given. At the same time, repeated gastric lavage and enema were performed to remove toxins. Blood perfusion was intermittently and repeatedly administered, and continuous renal replacement therapy was used. The blood concentration of felodipine was 1 298 μg/L at 2 hours after admission, and cardiac arrest occurred at 4 hours. Venous-arterial extracorporeal membrane oxygenation (V-A ECMO) treatment was administered immediately. After 48 hours of ECMO operation, sedatives were discontinued and the patient′s consciousness was improved after 4 hours. On the 5th day of ECMO treatment, his heart rate was 72 beats per minute, and blood pressure was 127/65 mmHg. The blood concentration of felodipine decreased to 2 μg/L. The patient′s vital signs were significantly improved and ECMO supportive treatment was withdrawn. After 26 days of hospitalization, the patient recovered and was discharged.
5.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.
6.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
7.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
8.Investigations into the Mechanism of Phycocyanin in Modulating the Wip1/p53 Pathway to Induce Apoptosis in Human Hepatocellular Carcinoma HepG2 Cells
Yun-Xi JIA ; Da HUO ; Chao YAO ; Min LI ; Fu-Ling LIU ; Hong YUAN ; Hui-Ting XUE ; Rui-Ping HU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(5):741-752
Hepatocellular carcinoma(HCC)is difficult to detect in its early stages and current treatment methods are associated with significant side effects and a high risk of developing drug resistance.This study aims to investigate the effect of phycocyanin(PC)on the apoptosis of human HCC HepG2 cells and its potential mechanism.HepG2 cells were treated with PC at concentrations of 0.1,0.25,0.5,1,2.5,5,and 10 μg/mL for 12 h,and with 10 μg/mL PC and 2.5 μmol/L Wip1 inhibitor(Wip1i)alone or in combination for 12 and 24 h,respectively.Cell proliferation levels were assessed using the CCK-8 cell proliferation-toxicity assay kit.Apoptosis levels were measured by Annexin V-FITC/Propidium Iodide double staining combined with flow cytometry.TMT(Tandem Mass Tag)proteomics quantitative technol-ogy was applied to analyze differential protein expression.Western blotting was used to detect the expres-sion levels of Wip1,p53,and phosphorylated-p53(Ser15)proteins.The CCK-8 assay revealed that PC effectively inhibited HepG2 cell proliferation in a concentration-dependent manner,with a half-maximal inhibitory concentration(IC50)of 19.37 μg/mL.Flow cytometry results showed that PC significantly in-duced apoptosis,with an apoptosis rate of 30.40%.Quantitative proteomics analysis indicated that PC induced activation of the p53 pathway.The CCK-8 assay showed that Wip1i enhanced the cytotoxic effect of PC on HepG2 cells.Western blotting confirmed that PC inhibited Wip1 expression,induced p53 pro-tein phosphorylation,and promoted the expression of total p53 protein.Additionally,Wip1i further en-hanced PC-mediated activation of the p53 pathway,increasing the expression of p53 and pP53(S15).In conclusion,PC may induce apoptosis by inhibiting the activity of the p53 negative regulator Wip1,thereby promoting apoptosis through the Wip1/p53 pathway.
9.The impact of myocardial infarct size dynamics on left ventricular remodeling in STEMI patients after primary percutaneous coronary intervention
Si CHEN ; Xin A ; Yiqing ZHAO ; Zhenyan MA ; Ying ZHANG ; Ke LIU ; Lei FU ; Liping ZHANG ; Yongqiang YANG ; Ping LI ; Jinwen TIAN ; Hongbo ZHANG ; Lei ZHAO ; Geng QIAN
Chinese Journal of Cardiology 2025;53(6):653-660
Objective:To explore the impact of changes of myocardial infarct size on left ventricular adverse remodeling in patients with acute ST-segment elevation myocardial infarction (STEMI) after primary percutaneous coronary intervention (PCI).Methods:This was a prospective cohort study. The STEMI patients who underwent primary PCI in the First Medical Center of the Chinese People′s Liberation Army General Hospital, Beijing Anzhen Hospital, Hainan Hospital of the Chinese People′s Liberation Army General Hospital and Guangxi Yulin First People Hospital from January 1, 2017 to January 1, 2022 were enrolled. Cardiac magnetic resonance (CMR) was performed to dynamically assess the myocardial infarct size and calculate the rate of infarct size change between the acute phase (5 to 7 days post-primary PCI) and 6-month follow-up. The endpoint was left ventricular adverse remodeling which was defined as an increase of more than 20% in left ventricular end-diastolic volume (LVEDV) assessed by CMR at 6 months after primary PCI compared with LVEDV at 1 week after primary PCI. Based on serial CMR assessments, the patients were divided into left ventricular adverse remodeling group and non-remodeling group. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of infarct size change for left ventricular adverse remodeling, and according to the optimal cutoff value, improved infarct size was defined as a decrease of >20% in the infarct size measured by CMR at 6 months after primary PCI compared with infarct size at 1 week after primary PCI. Multivariate logistic regression analysis was performed to identify the protective factors and risk factors for left ventricular adverse remodeling.Results:A total of 267 patients were enrolled, aged (58±11) years, with 234 males (87.6%). And 73 cases in the left ventricular remodeling group and 194 cases in the non-remodeling group. Infarct size assessed by CMR at 6 months after primary PCI decreased significantly compared with infarct size at 1 week after primary PCI in the left ventricular remodeling group ((23±13)% vs. (27±12)%, P=0.004), the same as in the non-remodeling group ((18±10)% vs. (23±10)%, P<0.001). The area under the ROC curve for the rate of infarct size change in predicting left ventricular remodeling was 0.735 (95% CI 0.670-0.799, P<0.001), a 20% reduction was the optimal cut-off value. Compared to the patients with non-improved infarct size, the incidence of left ventricular adverse remodeling was significantly lower in the patients with improved infarct size (18% (24/133) vs. 37% (49/134), P=0.001). Multivariate logistic regression analysis showed that improvement in IS was a protective factor for left ventricular adverse remodeling ( OR=0.376, 95% CI 0.236-0.721, P=0.002). Conclusion:Patients with STEMI who experience obvious reduction in infarct size after primary PCI have a significantly reduced risk of left ventricular adverse remodeling.
10.Predictive value of atherogenic index of plasma combined with novel inflammatory indexes for MACE in ACS patients
Jing LI ; Shuai LIU ; Na LI ; Fang MENG ; Rong-xia WANG ; Jian-ping FU
Chinese Journal of cardiovascular Rehabilitation Medicine 2025;34(5):629-635
Objective:To explore the predictive value of atherogenic index of plasma(AIP)combined with neutro-phil/HDL-C ratio(NHR),lymphocyte/HDL-C ratio(LHR)and monocyte/HDL-C ratio(MHR)for major adverse cardiovascular events(MACE)in patients with acute coronary syndrome(ACS).Methods:This retrospec-tive study enrolled 320 patients underwent coronary angiography in Department of Cardiovascular Medicine,Harri-son International Peace Hospital between January 2021 and December 2022,including 215 ACS patients and 105 pa-tients without ACS;according to Gensini score,ACS patients were divided into low risk group(n=50),medium risk group(n=70)and high risk group(n=95).According to the presence of MACE within 1 year,patients were divided into MACE group(n=55)and no MACE group(n=160).After admission,blood routine,blood lipids,C-reactive protein(CRP)and endothelin-1(ET-1)levels were measured,then NHR,LHR,MHR and AIP were calculated.Spearman method was used to analyze the association of above-mentioned indexes with Gensini score;stepwise Logistic regression was used to analyze the influencing factors of MACE within 1 year in ACS patients;and ROC curve was used to analyze the predictive value of single and combined detection of above indexes for MACE within 1 year in ACS patients.Results:Compared to patients in no ACS group,those in ACS group had significantly higher BMI[(23.59±0.85)kg/m2 vs.(21.57±1.16)kg/m2],proportions of hypertension(57.67%vs.13.33%),diabetes(23.26%vs.8.57%),NHR[(12.09±3.46)vs.(3.81±1.29)],MHR[(0.70±0.18)vs.(0.33±0.10)],LHR[(0.79±0.21)vs.(0.40±0.09)],AIP[(0.21±0.06)vs.(0.11±0.02)],CRP[(9.82±3.09)mg/L vs.(2.20±0.58)mg/L],ET-1[(31.25±10.34)μg/L vs.(10.60±1.96)μg/L](P<0.001 all).Compared to those in no MACE group,patients in MACE group had significantly higher NHR[(17.33±3.87)vs.(10.12±2.68)],MHR[(0.93±0.24)vs.(0.61±0.13)],LHR[(1.05±0.27)vs.(0.71±0.16)],AIP[(0.28±0.04)vs.(0.17±0.02)],CRP[(15.52±3.83)mg/L vs.(7.69±2.40)mg/L],ET-1[(46.68±9.51)μg/L vs.(25.47±4.66)μg/L]levels(P<0.001 all).Spearman correlation analysis showed that NHR,MHR,LHR and AIP were significant positively correlated with Gensini score(r=0.837~0.868,P<0.001 all).Stepwise Logistic regression analysis showed that NHR(OR=1.225,95%CI 1.016~1.550,P=0.035),AIP(OR=2.632,95%CI 1.055~6.566,P=0.038)were independent risk factors for MACE within 1 year in ACS patients.ROC curve shows that AUC of AIP combined with NHR,MHR and LHR predicting MACE within 1 year in ACS patients was 0.786(95%CI 0.725~0.839),which was significantly higher than those of NHR(AUC 0.768,95%CI 0.706~0.823),LHR(AUC 0.749,95%CI 0.686~0.806)and AIP(AUC 0.764,95%CI 0.701~0.819)alone(Z=2.597,2.687,1.965,P<0.05 or<0.01).Conclusion:AIP combined with NHR,MHR and LHR have certain predictive value for MACE within 1 year in ACS patients.

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