1.Relationship between traumatic infectious endophthalmitis and the levels of serum macrophage inflammatory protein 1α, heat shock protein 70, and soluble triggering receptor expressed on myeloid cells 1
Ruihong WANG ; Linlin ZHANG ; Yanna WANG ; Junxia REN ; Cuiying LIU
International Eye Science 2026;26(1):119-124
AIM: To investigate the distribution characteristics of pathogens in patients with post-traumatic infectious endophthalmitis(PTIE)and their relationship with serum levels of macrophage inflammatory protein 1α(MIP-1α), heat shock protein 70(HSP70), and soluble triggering receptor expressed on myeloid cells 1(sTREM-1).METHODS:A total of 157 patients with PTIE from the Handan City Eye Hospital(The Third Hospital of Handan)from May 2023 to May 2025 were selected as the study group. They were divided into a good prognosis group and a poor prognosis group based on their uncorrected visual acuity at discharge. Meanwhile, 157 patients with ocular trauma but without endophthalmitis during the same period were selected as control group 1, and 157 healthy volunteers who underwent physical examinations during the same period were selected as control group 2. Aqueous humor and vitreous fluid samples were collected from the study group to detect the distribution of pathogens. The levels of serum MIP-1α, HSP70, and sTREM-1 were measured using the enzyme-linked immunosorbent assay. Multivariate Logistic regression analysis was performed to identify risk factors for poor prognosis. The predictive value of serum MIP-1α, HSP70, and sTREM-1 levels for poor prognosis was evaluated using receiver operating characteristic(ROC)and decision curve analysis(DCA).RESULTS: The general data of the participants in the three groups was comparable. A total of 173 pathogens were detected in the 157 patients with PTIE, with Gram-positive bacteria being the predominant type. The levels of serum MIP-1α and sTREM-1 in the study group were higher than those in control groups 1 and 2, while the level of HSP70 was lower than those in control groups 1 and 2(all P<0.05). There were no significant differences in the levels of serum MIP-1α, HSP70, and sTREM-1 between control groups 1 and 2(all P>0.05). In the poor prognosis group, the time of wound suture was ≥24 h, the wound location was in zones II/III, the type of trauma was rupture, the proportion of rupture injuries, and the levels of serum C-reactive protein, MIP-1α, and sTREM-1 were higher than those in the good prognosis group, while the level of HSP70 was decreased(all P<0.001). Multivariate Logistic regression analysis showed that the time of wound suture, wound location, type of trauma, C-reactive protein, MIP-1α, HSP70, and sTREM-1 were risk factors for poor visual prognosis in patients with PTIE(all P<0.05). The ROC curve results showed that the combined prediction of serum MIP-1α, HSP70, and sTREM-1 for poor visual prognosis in PTIE patients had an AUC value of 0.965, which was significantly higher than that of individual predictions(ZMIP-1α, ZHSP70, ZsTREM-1=3.628, 4.705, 3.930, all P<0.05). Additionally, the DCA curve showed that the combined prediction had a higher net benefit rate than individual predictions in the high-risk threshold range of 0.03-0.97.CONCLUSION:Gram-positive bacteria are the predominant type of pathogenic bacteria in patients with PTIE, with elevated levels of serum MIP-1α and sTREM-1 and decreased levels of HSP70. The combined detection of these three factors has a high predictive efficacy for visual prognosis in patients.
2.Programmed death-ligand 1 tumor proportion score in predicting the safety and efficacy of PD-1/PD-L1 antibody-based therapy in patients with advanced non-small cell lung cancer: A retrospective, multicenter, observational study.
Yuequan SHI ; Xiaoyan LIU ; Anwen LIU ; Jian FANG ; Qingwei MENG ; Cuimin DING ; Bin AI ; Yangchun GU ; Cuiying ZHANG ; Chengzhi ZHOU ; Yan WANG ; Yongjie SHUI ; Siyuan YU ; Dongming ZHANG ; Jia LIU ; Haoran ZHANG ; Qing ZHOU ; Xiaoxing GAO ; Minjiang CHEN ; Jing ZHAO ; Wei ZHONG ; Yan XU ; Mengzhao WANG
Chinese Medical Journal 2025;138(14):1730-1740
BACKGROUND:
This study aimed to investigate programmed death-ligand 1 tumor proportion score in predicting the safety and efficacy of PD-1/PD-L1 antibody-based therapy in treating patients with advanced non-small cell lung cancer (NSCLC) in a real-world setting.
METHODS:
This retrospective, multicenter, observational study enrolled adult patients who received PD-1/PD-L1 antibody-based therapy in China and met the following criteria: (1) had pathologically confirmed, unresectable stage III-IV NSCLC; (2) had a baseline PD-L1 tumor proportion score (TPS); and (3) had confirmed efficacy evaluation results after PD-1/PD-L1 treatment. Logistic regression, Kaplan-Meier analysis, and Cox regression were used to assess the progression-free survival (PFS), overall survival (OS), and immune-related adverse events (irAEs) as appropriate.
RESULTS:
A total of 409 patients, 65.0% ( n = 266) with a positive PD-L1 TPS (≥1%) and 32.8% ( n = 134) with PD-L1 TPS ≥50%, were included in this study. Cox regression confirmed that patients with a PD-L1 TPS ≥1% had significantly improved PFS (hazard ratio [HR] 0.747, 95% confidence interval [CI] 0.573-0.975, P = 0.032). A total of 160 (39.1%) patients experienced 206 irAEs, and 27 (6.6%) patients experienced 31 grade 3-5 irAEs. The organs most frequently associated with irAEs were the skin (52/409, 12.7%), thyroid (40/409, 9.8%), and lung (34/409, 8.3%). Multivariate logistic regression revealed that a PD-L1 TPS ≥1% (odds ratio [OR] 1.713, 95% CI 1.054-2.784, P = 0.030) was an independent risk factor for irAEs. Other risk factors for irAEs included pretreatment absolute lymphocyte count >2.5 × 10 9 /L (OR 3.772, 95% CI 1.377-10.329, P = 0.010) and pretreatment absolute eosinophil count >0.2 × 10 9 /L (OR 2.006, 95% CI 1.219-3.302, P = 0.006). Moreover, patients who developed irAEs demonstrated improved PFS (13.7 months vs. 8.4 months, P <0.001) and OS (28.0 months vs. 18.0 months, P = 0.007) compared with patients without irAEs.
CONCLUSIONS
A positive PD-L1 TPS (≥1%) was associated with improved PFS and an increased risk of irAEs in a real-world setting. The onset of irAEs was associated with improved PFS and OS in patients with advanced NSCLC receiving PD-1/PD-L1-based therapy.
Humans
;
Carcinoma, Non-Small-Cell Lung/metabolism*
;
Male
;
Female
;
Retrospective Studies
;
Middle Aged
;
Lung Neoplasms/metabolism*
;
Aged
;
B7-H1 Antigen/metabolism*
;
Programmed Cell Death 1 Receptor/metabolism*
;
Adult
;
Aged, 80 and over
;
Immune Checkpoint Inhibitors/therapeutic use*
3.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
4.A deep learning prediction model for early evaluation of treatment response to neoadjuvant chemotherapy based on ultrasound images of breast cancer patients
Feihong YU ; Yanyan ZHANG ; Shumei MIAO ; Cuiying LI ; Jing DENG ; Bin YANG ; Xinhua YE ; Yun LIU ; Hui WANG
Chinese Journal of Ultrasonography 2023;32(7):614-620
Objective:To investigate the feasibility of deep learning radiomics model in the prediction of neoadjuvant chemotherapy (NAC) response in breast cancer based on ultrasound images at an early stage.Methods:Between January 2018 and June 2021, 218 patients with breast cancer who underwent NAC were enrolled in the retrospective study. All patients received a full cycle of NAC before surgery and underwent standard ultrasound examination before NAC and after the second cycles of NAC. Of all the patients, 166 patients came from institution 1 (the First Affiliated Hospital of Nanjing Medical University) were allocated into a primary cohort.Based on the architecture of Resnet 50 convolutional neural, a deep learning prediction model was built.Further validation was performed in an external testing cohort ( n=52) from institution 2 (General Hospital of Eastern Theater Command, PLA). The clinical model was constructed using independent clinical variables. To evaluate the predictive performance, areas under the curve (AUCs) of these models and two radiologists were compared by using the DeLong method. Results:The Resnet 50 model predicted the response of NAC with accuracy. The deep learning model, achieving an AUC of 0.923 (95% CI=0.884-0.962) in the primary cohort and an AUC of 0.896 (95% CI=0.807-0.980) in the test cohort, outperformed the clinical model and also performed better than two radiologists′ prediction (all P<0.05). Furthermore, the two radiologists achieved a better predictive efficacy (AUC 0.832 and 0.808 for radiologists 1 and 2, respectively) when assisted by the DL model (all P<0.01). Conclusions:The deep learning radiomics model is able to predict therapy response in the early-stage of NAC for breast cancer patients, which could guide clinicians and provide benefit for timely treatment strategy adjustment.
5.The role of IL-22 / STAT3 pathway in insulin resistance caused by intermittent hypoxia
Hongfei Liu ; Tingting Sun ; Jiahui Tian ; Xinjie Chen ; Lijue Ren ; Jing Du ; Fang Han ; Cuiying Wei
Acta Universitatis Medicinalis Anhui 2023;58(10):1678-1682
Objective :
By observing the changes of interleukin-22 ( IL-22) ,signal transduction and transcriptional activator 3 (STAT3) ,fasting blood glucose ( FBG) and fasting insulin ( FINS) of rats under the circumstance of chronic intermittent hypoxia and reoxygenation,to explore the role of IL-22 / STAT3 pathway in insulin resistance in- duced by chronic intermittent hypoxia.
Methods :
4 SD rats were randomly divided into control group (NC group) and intermittent hypoxia group ( CIH group) ,with 12 rats in each group.NC group was placed in normoxia environment for 12 weeks,while CIH group was first given intermittent hypoxia for 8 weeks and then resumed normoxia feeding until 12 weeks.FBG,FINS,IL-22 and p-STAT3 / STAT3 levels were measured at baseline,week 8 and week 12 in both groups,and insulin resistance index (HOMA-IR) was calculated.The differences between the two groups were compared.
Results :
① There was no significant difference of the observation indexes between the two groups at baseline (P>0. 05) .At 8 weeks,the levels of FBG,FINS and HOMA-IR in CIH group were higher than those in NC group (P<0. 05) ,and the levels of IL-22 were lower than those in NC group (P <0. 05) .p-STAT3 / STAT3 showed a decreasing trend,but not statistically significant.At 4 weeks of reoxygenation,there were no significant differences in FBG,FINS,HOMA-IR and IL-22 levels between the two groups (P >0. 05 ) .p-STAT3 / STAT3 in CIH group was significantly higher than that in NC group ( P <0. 05 ) . ② Spearman rank correlation analysis showed that HOMA-IR was negatively correlated with IL-22 and p-STAT3 / STAT3 ( all P <0. 05) .
Conclusion
Chronic intermittent hypoxia can inhibit the expression of IL-22 / STAT3 signaling pathway,IL-22 / STAT3 signaling pathway may mediate insulin resistance induced by chronic intermittent hypoxia.
6.Curative Effect of Lenvatinib Combined with Locoregional Therapy on PD-L1-positive Hepatocellular Carcinoma Patients with Type Ⅰ-Ⅲ Portal Vein Tumor Thrombus According to Cheng's Classification
Long CHEN ; Yujie LIU ; Suqing TIAN ; Cuiying WANG ; Donglei HE
Cancer Research on Prevention and Treatment 2022;49(1):53-57
Objective To compare curative effect between lenvatinib combined with locoregional therapy and locoregional therapy on PD-L1-positive hepatocellular carcinoma patients with type Ⅰ-Ⅲ portal vein tumor thrombus according to Cheng's classification. Methods The patients in lenvatinib combined with locoregional therapy group received orally-administered lenvatinib at a dose of 12 mg qd for patients≥60 kg or 8 mg qd for patients < 60 kg. The locoregional therapy group only received locoregional therapy. We retrospectively analyzed the clinical data and prognosis of two groups. Results The CR+PR were 78.1% and 53.6% in the combination group and locoregional therapy group, respectively (
7.Association between the alteration of serum N-glycan profile and the change of glycosyltransferase expression in liver tissue in patients with hepatitis B virus-related hepatocellular carcinoma
Xi CAO ; Yanling SUN ; Cuiying CHEN ; Yiwei XIAO ; Kuanhui XIANG ; Xueen LIU ; Hui ZHUANG
Journal of Clinical Hepatology 2021;37(6):1336-1341
ObjectiveTo investigate the potential mechanism of serum N-glycan alterations in patients with hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) by measuring serum N-glycan profile and comparing glycosyltransferase gene expression between HCC tissue and adjacent tissue. MethodsThe samples of HCC tissue, adjacent tissue, and normal liver tissue were collected from 34 patients with HBV-related HCC who were admitted to Chinese PLA General Hospital, and serum samples were also collected. Among these 34 patients, 8 were randomly selected and their serum samples were established as HCC experimental group, and the serum samples of 20 healthy adults were established as control group. DNA sequencer-aided fluorophore-assisted carbohydrate electrophoresis was used to analyze serum N-glycan profile in the HCC experimental group and the control group. Quantitative real-time PCR was used to measure the mRNA expression of 8 glycosyltransferase genes (FUT3, FUT4, FUT6, FUT7, FUT8, Gn-TIII, Gn-TIVa, and Gn-TV) in the HCC tissue and adjacent tissue of 34 patients with HBV-related HCC, and Western blot was used to measure the expression of corresponding proteins. The independent samples t-test was used for comparison of continuous data between two groups. ResultsCompared with the control group, the HCC experimental group had a significant increase in the abundance of N-glycan peak9 (NA3Fb) in serum(t=-2.514,P<0.05). There were significant differences in the mRNA expression of FUT8, Gn-TIVa, and Gn-TV between HCC tissue and adjacent tissue, and the mRNA and protein expression levels of FUT8 and Gn-TV in HCC tissue were significantly higher than those in adjacent tissue (FUT8 mRNA: 1.50±0.34 vs 0.65±0.11, t=-2.354,P=0.022; Gn-TV mRNA: 3.57±0.64 vs 1.33±016, t=-3.384,P=0001; FUT8 protein: 0.70±0.11 vs 0.083±0.017, t=9.555,P=0.001; Gn-TV protein: 1.33±0.19 vs 0.60±0.15, t=5.097,P=0.007). The mRNA expression level of Gn-TIVa in HCC tissue was significantly higher than that in adjacent tissue (2.90±0.47 vs 1.68±0.19, t=-2.403,P=0.019), but there was no significant difference in the protein expression level of Gn-TIVa between HCC tissue and adjacent tissue (052±0.24 vs 0.24±0.11,t=1.833, P=0.141). The changes of glycosyltransferase gene expression in HCC tissue were consistent with the alteration of serum N-glycan profile. ConclusionSerum N-glycan alterations in patients with HBV-related HCC may be closely associated with the upregulated expression of the glycosyltransferase genes FUT8, Gn-TIVa, and Gn-TV in HCC tissue.
8.Application of serum N -glycan profiling diagnostic model in evaluation of liver fibrosis in patients with hepatitis C
Xi CAO ; Ying ZHANG ; Yuemin NAN ; Zongnan TAN ; Cuiying CHEN ; Qinghua SHANG ; Xueen LIU ; Hui ZHUANG
Chinese Journal of Hepatology 2020;28(12):1023-1029
Objective:To study the changes of serum N-glycan abundance in patients with liver fibrosis at different stages of hepatitis C, and to establish and evaluate the diagnostic model for clinical application value.Methods:Data of 169 hepatitis C virus-infected cases with liver fibrosis were enrolled. Nine kinds of serum N-glycans were detected and analyzed using DNA sequencer-assisted fluorophore-assisted capillary electrophoresis technology. A binary logistics regression method was used to establish a diagnostic model based on the changes in the relative content of N-glycans in each stage of liver fibrosis. Receiver operating characteristic curve was used to evaluate and compare the diagnostic efficacy with other liver fibrosis diagnostic models.Results:N-glycan diagnostic model (B and C) had highest AUROC= 0.776, 0.827 for distinguishing fibrosis S1~S2 to S3~S4 and S1~S3 to S4 than GlycoFibroTest (AUROC = 0.760, 0.807), GlycoCirrhoTest (AUROC = 0.722, 0.787), aspartate aminotransferase to platelet ratio index (AUROC = 0.755, 0.751), FIB-4 index (AUROC = 0.730, 0.774), and S-index (AUROC = 0.707, 0.744). However, the diagnostic efficacy of model A (AUROC = 0.752) for distinguishing fibrosis S1 with S2~S4 had lower diagnostic potency than that of the aspartate aminotransferase to platelet ratio index (AUROC = 0.807). Diagnostic efficiency was improved when the N-glycan profiling and the aspartate aminotransferase to platelet ratio index were combined to diagnose liver fibrosis in each stage, and the area under the receiver operating characteristic curve was 0.839, 0.825, and 0.837, respectively.Conclusion:The serum N-glycan profiling diagnostic model has potential clinical application value in the diagnosis of liver fibrosis in patients with hepatitis C.
9. Effect of multidisciplinary cooperative pain management on rapid recovery of patients undergoing total hip and total knee replacement
Peng WU ; Xiaoli RAN ; Bingqiang HUANG ; Yi CHEN ; Daiqin BAO ; Cuiying CHEN ; Yan XIONG ; Jinlyu RAN ; Liyong CHEN ; Su LIU
Chinese Journal of Anesthesiology 2019;39(8):935-938
Objective:
To evaluate the effect of multidisciplinary cooperative pain management on the rapid recovery of patients with total hip and total knee arthroplasty.
Methods:
A total of 120 patients, of American Society of Anesthesiologists physical status Ⅰ or Ⅱ, aged 20-64 yr, with body mass index of 18-25 kg/m2, were divided into 2 groups using a random number table method: test group (group T,
10.Effects of IRF1 on polarization and antitumor function of M 1 microphage
Changli XIE ; Cuiying LIU ; Yan LIN ; Bitao WU ; Qin WANG ; Ziwei LI ; Zhiguang TU
Basic & Clinical Medicine 2017;37(2):189-196
Objective To study if IRF1 could regulate the polarization by IRF 1 and M1 status and affect M1 media-ted antitumor function .Methods U937 derived M1 macrophage ( U937-M1 ) model was established .The cells were devided into 4 groups:the PMA pretreated unpolarized macrophage (M0), the PMA, IFN-γand LPS induced M1 macrophage (M1), the siRNA of IRF1 knocked down M1 macrophage (siIRF1) and the negative control siR-NA treated M1 macrophage (siC).Furthermore, the expression of CD86 and CD206 was detected by flow cytome-try, the M1/M2 associated markers (IL-12p35,IL-12p40,IL-23p19,IL-6,TNF-α/IL-10) and IFNB1 were ana-lyzed by qPCR,the expression of IL-12p70 and IL-10 was examined by ELISA, the expression of IRF1 and IRF5 was detected by Western blot , the proliferration and apoptosis of HCC were analyzed by CCK 8 and flow cytometry , respectively.Results Compared with the U937-M1, the IRF1 knocked down group showed impaired CD 86 expres-sion, but enhanced CD206 expreesion ( P<0.05 ); the expression of M1 related cytokines including IL-12p35, IL-12p40,IL-23p19,IL-6,TNF-αand IFNB1 was decreased, but M2 related cytokine IL-10 level was increased (P<0.01);the expression of IFN-β, IL-12p70 and IRF5 was impaired, but IL-10 was enhanced (P<0.05).In IRF1 knocked down U937-M1, the CCK8 analysis indicated that the M1 mediated anti-proliferation effects on hepatoma carcinoma cell were turned to pro-proliferation ( P<0.05);the flow cytometry showed that the M 1 mediated pro-ap-optosis effects were reversed to anti-apoptosis ( P<0.01 ) .Interestingly , IRF5 and IFN-βwere decreased at both mRNA and protein levels in IRF1 knocked down U937-M1 compared with the U937-M1 (P<0.01).Conclusions IRF1 may partly modulate IRF5 and IFN-β, and further regulate M1 polarization and its antitumor effects .


Result Analysis
Print
Save
E-mail