1.miR-375 Attenuates The Migration and Invasion of Osteosarcoma Cells by Targeting MMP13
Zhong LIU ; Lei HE ; Jian XIAO ; Qing-Mei ZHU ; Jun XIAO ; Yong-Ming YANG ; Yong-Jian LUO ; Zhong-Cheng MO ; Yi-Qun ZHANG ; Ming LI
Progress in Biochemistry and Biophysics 2024;51(5):1203-1214
ObjectiveTo explore whether miR-375 regulates the malignant characteristics of osteosarcoma (OS) by influencing the expression of MMP13. MethodsPlasmid DNAs and miRNAs were transfected into OS cells and HEK293 cells using Lipofectamine 3000 reagent. Real-time quantitative polymerase chain reaction was performed to measure the expression of miR-375 and MMP13 in OS patients and OS cells. Western blot was performed to analyze the MMP13 protein in the patients with OS and OS cells. The targeting relationship between miR-375 and MMP13 was analyzed by luciferase assay. Migration and invasion were analysed by heal wound and transwell assays, respectively. ResultsmiR-375 expression in OS tissues was lower than that in normal tissues. The expression of MMP13 was upregulated in OS tissues. MMP13 expression was negatively correlated withmiR-375 expression in patients with OS. Migration and invasion were significantly inhibited in OS cells with the miR-375 mimic compared with OS cells with the miRNA control. MMP13 partially reversed the inhibition of migration and invasion induced by miR-375 in the OS cells. ConclusionmiR-375 attenuates migration and invasion by downregulating the expression of MMP13 in OS cells.
2.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.
3.Expert consensus on the construction, evaluation and application of bone organoids (version 2024)
Jian WANG ; Long BAI ; Xiao CHEN ; Yuanyuan LIU ; Guohui LIU ; Zhongmin SHI ; Kaili LIN ; Chuanglong HE ; Jing WANG ; Zhen GENG ; Weiyang SHI ; Wencai ZHANG ; Fengjin ZHOU ; Qiang YANG ; Lili YANG ; Zhiwei WANG ; Haodong LIN ; Yunfei ZHANG ; Fuxin WEI ; Wei CHEN ; Wenguo CUI ; Fei LUO ; Jun FEI ; Hui XIE ; Jian LUO ; Chengtie WU ; Xuanyong LIU ; Yufeng ZHENG ; Changsheng LIU ; Jiacan SU
Chinese Journal of Trauma 2024;40(11):974-986
Bone organoids can simulate the complex structure and function of the bone tissues, which makes them a frontier technology in organoid researches. Bone organoids show a tremendous potential of applications in bone disease modeling, bone injury repair, and medicine screening. Although advancements have been made so far in constructing bone organoids with functional structures like mineralization, bone marrow, trabecular bone, callus, woven bone, etc, the researches in this field are confronted with numerous challenges such as lack of standardized construction strategies and unified evaluation criteria, which limits their further promotion and application. To standardize researches in bone organoids, the Orthopedic Expert Committee of Geriatric Branch of Chinese Association of Gerontology and Geriatrics, the Youth Osteoporosis Group of Orthopedic Branch of Chinese Medical Association, the Osteoporosis Group of Orthopedic Surgeon Branch of Chinese Medical Doctor Association, and the Osteoporosis Committee of Shanghai Association of Integrated Traditional Chinese and Western Medicine organized related experts to formulate Expert consensus on the construction, evaluation, and application of bone organoids ( version 2024) based on an evidence-based approach. A total of 17 recommendations were put forth, aiming to standardize researches and clinical applications of bone organoids and enhance their value in scientific research and clinical practice.
4.Maternal MTR gene polymorphisms and their interactions with periconceptional folic acid supplementation in relation to offspring ventricular septal defects
Xiao-Rui RUAN ; Meng-Ting SUN ; Jian-Hui WEI ; Man-Jun LUO ; Han-Jun LIU ; Jia-Peng TANG ; Liu-Xuan LI ; Jia-Bi QIN
Chinese Journal of Contemporary Pediatrics 2024;26(9):899-906
Objective To investigate how maternal MTR gene polymorphisms and their interactions with periconceptional folic acid supplementation are associated with the incidence of ventricular septal defects(VSD)in offspring.Methods A case-control study was conducted,recruiting 426 mothers of infants with VSD under one year old and 740 mothers of age-matched healthy infants.A questionnaire survey collected data on maternal exposures,and blood samples were analyzed for genetic polymorphisms.Multivariable logistic regression analysis and inverse probability of treatment weighting were used to analyze the associations between genetic loci and VSD.Crossover analysis and logistic regression were utilized to examine the additive and multiplicative interactions between the loci and folic acid intake.Results The CT and TT genotypes of the maternal MTR gene at rs6668344 increased the susceptibility of offspring to VSD(P<0.05).The GC and CC genotypes at rs3768139,AG and GG at rs1050993,AT and TT at rs4659743,GG at rs3768142,and GT and TT at rs3820571 were associated with a decreased risk of VSD(P<0.05).The variations at rs6668344 demonstrated an antagonistic multiplicative interaction with folic acid supplementation in relation to VSD(P<0.05).Conclusions Maternal MTR gene polymorphisms significantly correlate with the incidence of VSD in offspring.Mothers with variations at rs6668344 can decrease the susceptibility to VSD in their offspring by supplementing with folic acid during the periconceptional period,suggesting the importance of periconceptional folic acid supplementation in genetically at-risk populations to prevent VSD in offspring.
5.Clinical study of constructing nomogram model based on multi-dimensional clinical indicators to predict prognosis of knee osteoarthritis
Xin WANG ; Cong-Jun YE ; Zhen-Zhong DENG ; Yan XUE ; Chen-Hui WEI ; Qing-Biao LI ; Yang-Ming LUO ; Jian-Zhong GAN
China Journal of Orthopaedics and Traumatology 2024;37(2):184-190
Objective To analyze the factors affecting the prognosis of patients with knee osteoarthritis,and to construct a nomogram prediction model in conjunction with multi-dimensional clinical indicators.Methods The clinical data of 234 pa-tients with knee osteoarthritis who were treated in our hospital from January 2015 to June 2021 were retrospectively analyzed,including 126 males and 108 females;age more than 60 years old for 135 cases,age less than 60 years old for 99 cases.Lysholm knee function score was used to evaluate the prognosis of the patients,and the patients were divided into good progno-sis group for 155 patients and poor prognosis group for 79 patients according to the prognosis.The clinical data of the subjects in the experimental cohort were analyzed by single factor and multiple factors.The patients were divided into experimental co-hort and verification cohort,the results of the multiple factor analysis were visualized to obtain a nomogram prediction model,the receiver operating characteristic curve(ROC),calibration curve and decision curve were used to evaluate the model's dis-crimination,accuracy and clinical benefit rate.Results The results of multivariate analysis showed that smoking,pre-treatment K-L grades of Ⅲto Ⅳ,and high levels of interleukin 6(IL-6)and matrix metallo proteinase-3(MMP-3)were risk factors for the prognosis of patients with knee osteoarthritis.ROC test results showed that the area under the curve of the nomogram model in the experimental cohort and validation cohort was 0.806[95%CI(0.742,0.866)]and 0.786[(95%CI(0.678,0.893)],re-spectively.The results of the calibration curve showed that the Brier values of the experimental cohort and verification cohort were 0.151 points and 0.134 points,respectively.When the threshold probability value in the decision curve was set to 31%,the clinical benefit rates of the experimental cohort and validation cohort were 51%and 56%,respectively.Conclusion The prognostic model of patients with knee osteoarthritis constructed based on multi-dimensional clinical data has both theoretical and practical significance,and can provide a reference for taking targeted measures to improve the prognosis of patients.
6.Changes of serum levels of Angpt1 and endothelin-1 in patients with newly-onset atrial fibrillation after heart valve replacement and its clinical significance
Jun-Jie FEI ; Yong LUO ; Jian CHEN ; Jie CHEN ; Jin-Ze LI ; Lan-Ying GAO
Chinese Journal of cardiovascular Rehabilitation Medicine 2024;33(4):425-430
Objective:To explore the changes of serum levels of angiopoictin-1(Angpt1)and endothelin-1(ET-1)in patients with newly-onset atrial fibrillation(AF)after heart valve replacement,and analyze their clinical sig-nificance.Methods:A total of 130 patients who underwent heart valve replacement in our hospital from January 2020 to March 2022 were divided into no AF group(n=72)and AF group(n=58)according to presence of AF within 7d after surgery.Serum levels of Angpt1 and ET-1 were detected by ELISA in two groups;the correlation between serum Angptl and ET-1 was analyzed by Pearson method in AF patients;ROC curve analysis was used to analyze the predictive value of serum Angpt1 and ET-1 levels for postoperative AF in these patients;Logistic re-gression was used to analyze the influencing factors of postoperative AF in these patients.Results:The left atrial diameter(LAD),proportion of NYHA class Ⅳ and cardiopulmonary bypass time in AF group were significantly higher than those of no AF group(P<0.05 or<0.01).One day after surgery,compared with no AF group,serum Angpt1 level significantly reduced and ET-1 level significantly increased in AF group(P<0.001 both).Pearson correlation analysis indicated that serum Angpt1 level was significant inversely correlated with ET-1 level in AF pa-tients(r=-0.366,P=0.005).ROC analysis indicated that area under the curve(AUC)of combined detection of serum Angpt1 and ET-1 in predicting AF after heart valve replacement was significantly higher than those of each single detection(Z=2.761,1.998,P=0.006,0.046).Multivariate Logistic regression analysis indicated that LAD,NYHA class Ⅳ,cardiopulmonary bypass time and postoperative ET-1 were independent risk factors for postoperative AF in these patients(OR=1.471~1.739,P<0.05 or<0.01),while postoperative Angpt1 was its independent protective factor(OR=0.634,P=0.004).Conclusion:Serum Angpt1 level significantly reduces and ET-1 level significantly increases in patients with newly-onset AF after heart valve replacement.Combined detec-tion of Angpt1 and ET-1 levels possesses high predictive value for postoperative AF.
7.Correlation between Bone Marrow Microvascular Density,Angio-genesis Factors and Bortezomib Resistance in Multiple Myeloma
Lin-Xiang LUO ; Jian-Jun YAO ; Yun-Feng CAI
Journal of Experimental Hematology 2024;32(5):1432-1437
Objective:To investigate the correlation between bone marrow microvascular density,angiogenesis factors and bortezomib resistance in multiple myeloma(MM).Methods:The data of 200 patients with MM treated in our hospital from January 2020 to August 2023 were retrospectively analyzed,and the patients with MM were divided into drug-resistant group(n=68)and non-drug-resistant group(n=132)according to their drug resistance during bortezomib treatment.The univariate and multivariate logistic analysis were used to screen the independent influencing factors of bortezomib resistance in MM patients during treatment.The receiver operating characteristic(ROC)curve and clinical decision curve(DCA)were used to evaluate the predictive performance and clinical application value of the risk prediction model,the consistency between the actual incidence rate and the predicted incidence rate was judged by validating the calibration chart,and the goodness-of-fit of the model was judged by H-L test.Results:68 of the 200 MM patients developed resistance and poor clinical efficacy during bortezomib treatment,and the clinical resistance rate of bortezomib was 34.0%.The results of multivariate analysis showed that high bone marrow microvessel density(MVD)and high bone marrow supernatant VEGF,HGF,and bFGF expression levels were independent risk factors for bortezomib resistance in MM patients(P<0.05).The area under the ROC curve(AUC)of the model jointly constructed by bone marrow MVD,serum VEGF,HGF,bFGF and TNF-α levels was 0.924,and its sensitivity and specificity were 92.6%and 78.8%,which were higher than those of the bone marrow MVD model(AUC=0.743)and the vasogenesis factor model(AUC=0.878).The calibration curve of the joint prediction model was close to the standard curve,indicating that the model is more consistent.The results of H-L goodness-of-fit test showed x2=14.748,P=0.164,the joint prediction model had a good fit.The DCA curve showed that the clinical net benefit of intervention in the range of 0.0~1.0 was greater than that of full intervention and no intervention.Conclusion:The prediction model based on bone marrow MVD and vasogenesis factors(VEGF,HGF,bFGF)in MM patients has higher clinical evaluation performance and predictive value.
8.LncRNA-CCRR regulates arrhythmia induced by myocardial infarction by affecting sodium channel ubiquitination via UBA6
Fei-Han SUN ; Dan-Ning LI ; Hua YANG ; Sheng-Jie WANG ; Hui-Shan LUO ; Jian-Jun GUO ; Li-Na XUAN ; Li-Hua SUN
Chinese Pharmacological Bulletin 2024;40(8):1437-1446
Aim To investigate the regulatory mecha-nism of arrhythmia of sodium channel ubiquitination af-ter MI and to study the electrophysiological remodeling mechanism of lncRNA-CCRR after MI for the preven-tion and treatment of arrhythmia after MI.Methods LncRNA-CCRR transgenic mice and C57BL/6 mice injected with lncRNA-CCRR overexpressed adeno-asso-ciated virus were used.Four weeks after infection,the left anterior descending branch of the coronary artery was ligated for 12 h to establish a mouse acute myocar-dial infarction model,and the incidence of arrhythmia was detected by programmed electrical stimulation.Ln-cRNA-CCRR overexpression/knockdown adeno-associ-ated virus and negative control were transfected into neonatal mouse cardiomyocytes(NMCMs),and the model was prepared by hypoxia for 12 h.LncRNA-CCRR expression was detected by FISH,Nav1.5 and UBA6 protein and Nav.1.5 mRNA expression were de-tected by Western blot and real-time quantitative poly-merase chain reaction(qRT-PCR),Nav1.5 and UBA6 expressions were detected by immunofluores-cence,and the relationship between lncRNA-CCRR and UBA6 was detected by RIP.INa current density af-ter CCRR overexpression and knockdown was detected by Whole-cell clamp patch.Results In MI mice,the expression of lncRNA-CCRR decreased,the incidence of arrhythmia increased,the expression of CCRR and Nav1.5 mRNA was down-regulated,the protein ex-pression of Nav1.5 was down-regulated,and the pro-tein expression of UBA6 was up-regulated compared with sham group.Overexpression of CCRR could re-verse the above changes.AAV-CCRR could reverse the down-regulated CCRR and Nav1.5 mRNA levels af-ter hypoxia,and improve the expression of Nav1.5 and UBA6 protein.The direct relationship between ln-cRNA-CCRR and UBA6 was identified by RIP analy-sis.The INa density increased after transfection with AAV-CCRR.The INa density decreased after transfec-tion with AAV-si-CCRR.Conclusions The expres-sion of lncRNA-CCRR decreases after MI,and ln-cRNA-CCRR can improve arrhythmia induced by MI by inhibiting UBA6 to increase the protein expression level of Nav1.5 and the density of INa.
9.Development and validation of a stromal-immune signature to predict prognosis in intrahepatic cholangiocarcinoma
Yu-Hang YE ; Hao-Yang XIN ; Jia-Li LI ; Ning LI ; Si-Yuan PAN ; Long CHEN ; Jing-Yue PAN ; Zhi-Qiang HU ; Peng-Cheng WANG ; Chu-Bin LUO ; Rong-Qi SUN ; Jia FAN ; Jian ZHOU ; Zheng-Jun ZHOU ; Shao-Lai ZHOU
Clinical and Molecular Hepatology 2024;30(4):914-928
Background:
Intrahepatic cholangiocarcinoma (ICC) is a highly desmoplastic tumor with poor prognosis even after curative resection. We investigated the associations between the composition of the ICC stroma and immune cell infiltration and aimed to develop a stromal-immune signature to predict prognosis in surgically treated ICC.
Patients and methods:
We recruited 359 ICC patients and performed immunohistochemistry to detect α-smooth muscle actin (α-SMA), CD3, CD4, CD8, Foxp3, CD68, and CD66b. Aniline was used to stain collagen deposition. Survival analyses were performed to detect prognostic values of these markers. Recursive partitioning for a discrete-time survival tree was applied to define a stromal-immune signature with distinct prognostic value. We delineated an integrated stromal-immune signature based on immune cell subpopulations and stromal composition to distinguish subgroups with different recurrence-free survival (RFS) and overall survival (OS) time.
Results:
We defined four major patterns of ICC stroma composition according to the distributions of α-SMA and collagen: dormant (α-SMAlow/collagenhigh), fibrogenic (α-SMAhigh/collagenhigh), inert (α-SMAlow/collagenlow), and fibrolytic (α-SMAhigh/collagenlow). The stroma types were characterized by distinct patterns of infiltration by immune cells. We divided patients into six classes. Class I, characterized by high CD8 expression and dormant stroma, displayed the longest RFS and OS, whereas Class VI, characterized by low CD8 expression and high CD66b expression, displayed the shortest RFS and OS. The integrated stromal-immune signature was consolidated in a validation cohort.
Conclusion
We developed and validated a stromal-immune signature to predict prognosis in surgically treated ICC. These findings provide new insights into the stromal-immune response to ICC.
10.Inhibitory Effect of Resveratrol on the Proliferation of Multiple Myeloma Cells and the Underlying Mechanism.
Nan ZHOU ; Shu-Xing CAO ; Zhen-Zhen WANG ; Jian-Min LUO ; Xiao-Jun LIU ; Yin-Tao SHANG ; Lin YANG
Journal of Experimental Hematology 2023;31(4):1093-1099
OBJECTIVE:
To investigate the effect of resveratrol (RSV) on the proliferation of multiple myeloma (MM) cells and its molecular mechanism.
METHODS:
MM cells (MM1.S, RPMI-8226 and U266) were treated with different concentrations of RSV for 24-72 h. The effect of RSV on the proliferation of MM cells was detected by CCK-8 (cell counting kit-8) assay. RPMI-8226 cells were divided into RSV, miR-21 mimic, RSV+miR-21 mimic, miR-21 inhibitor and RSV+miR-21 inhibitor groups, and transfected with corresponding plasmids. The cell cycle distribution of each group was detected by flow cytometry with propidium iodide (PI) single staining. The cell apoptosis of each group was detected by AnnexinV-FITC/PE-PI double staining. The expression of miR-21 in MM cells treated with RSV and the expression of KLF5 mRNA in each group were detected by qRT-PCR. The expression of KLF5 protein in each group was detected by Western blot.
RESULTS:
RSV inhibited the proliferation and induced apoptosis of MM cells in a time- and dose-dependent manner. After the MM cells were treated with RSV, the number of cells in sub-G1 phase was increased, and that in G2/M phase was decreased. Moreover, RSV significantly downregulated the expression of miR-21 in MM cells, and the inhibitory effect of miR-21 mimic on KLF5 expression in MM cells was counteracted by RSV.
CONCLUSION
RSV may inhibit the proliferation and induce apoptosis of MM cells by inhibiting miR-21 and up-regulating KLF5 expression.
Humans
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Resveratrol/pharmacology*
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Multiple Myeloma/metabolism*
;
Cell Proliferation
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Cell Line, Tumor
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Apoptosis
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MicroRNAs/genetics*

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