1.Inhibitory effect of Xinhui tangerine peel polysaccharides on mouse skin fibroblasts and its mechanism based on TGF-β1/Smad3 pathway
Jingnan LIANG ; Wei LU ; Yingyi LIAO ; Wenjiao XIAN
Journal of Xi'an Jiaotong University(Medical Sciences) 2025;46(2):333-338
Objective To explore the inhibitory effect of Xinhui tangerine peel polysaccharides on the mouse skin fibroblasts so as to understand the underlying molecular mechanism.Methods We separated and purified the components of tangerine peel polysaccharides from Xinhui tangerine peel.C57BL/6 mouse skin fibroblasts were isolated and cultured for the cellular experimental study.We set up a blank control group(normal culture)and low-,medium-and high-dose experimental groups(50,100 and 200 μg/mL tangerine peel polysaccharides).After 24 hours of treatment,cell survival rate was assessed by CCK-8 assay.The mRNA and protein expression levels of collagen type Ⅰ(Col1a1),collagen type Ⅲ(Col1a3),TGF-β1 and ACTA2 in fibroblasts were examined by RT-qPCR and Western blotting.Smad3 was examined by Western blotting.Results The cell survival rate in the blank control group,the medium-and high-dose experimental groups was 100%,(90.54±6.74)%,and(78.90±4.24)%,respectively.The relative expression level of Col1a1 protein was 1.13±0.15,0.57±0.16,and 0.48±0.05,respectively;the relative expression level of Col3a1 protein was 0.81±0.13,0.49±0.11 and 0.50±0.03;the relative expression level of TGF-β1 protein was 1.11±0.15,0.60±0.13,and 0.33±0.11;the relative expression level of p-Smad3/Smad3 proteins was 0.96±0.05,0.75±0.06 and 0.71±0.03.The mRNA expression level of Col1a1 was 1.01±0.17,0.58±0.11,and 0.52±0.12;the mRNA expression level of Col3a1 was 1.01±0.12,0.56±0.19,and 0.65±0.14;the expression level of ACTA2 mRNA was 1.01±0.13,0.24±0.04,and 0.22±0.07;the mRNA expression level of TGF-β1 was 1.00±0.09,0.50±0.10,and 0.49±0.15.The relative expression levels of p-Smad3/Smad3 proteins were 0.86±0.06,0.66±0.06,0.55±0.13,0.43±0.09,0.35±0.06,and 0.27±0.12,respectively,after time-related treatment with high-dose tangerine peel polysaccharides.The above indicators in medium-and high-dose tangerine peel polysaccharide groups showed statistically significant differences compared to those in the blank control group(P<0.05).Conclusion Tangerine peel polysaccharides can inhibit the cell proliferation and the synthesis of keloid-related genes on fibroblasts by inhibiting TGF-β1/Smad3 signaling pathway.
2.Inhibitory effect of Xinhui tangerine peel polysaccharides on mouse skin fibroblasts and its mechanism based on TGF-β1/Smad3 pathway
Jingnan LIANG ; Wei LU ; Yingyi LIAO ; Wenjiao XIAN
Journal of Xi'an Jiaotong University(Medical Sciences) 2025;46(2):333-338
Objective To explore the inhibitory effect of Xinhui tangerine peel polysaccharides on the mouse skin fibroblasts so as to understand the underlying molecular mechanism.Methods We separated and purified the components of tangerine peel polysaccharides from Xinhui tangerine peel.C57BL/6 mouse skin fibroblasts were isolated and cultured for the cellular experimental study.We set up a blank control group(normal culture)and low-,medium-and high-dose experimental groups(50,100 and 200 μg/mL tangerine peel polysaccharides).After 24 hours of treatment,cell survival rate was assessed by CCK-8 assay.The mRNA and protein expression levels of collagen type Ⅰ(Col1a1),collagen type Ⅲ(Col1a3),TGF-β1 and ACTA2 in fibroblasts were examined by RT-qPCR and Western blotting.Smad3 was examined by Western blotting.Results The cell survival rate in the blank control group,the medium-and high-dose experimental groups was 100%,(90.54±6.74)%,and(78.90±4.24)%,respectively.The relative expression level of Col1a1 protein was 1.13±0.15,0.57±0.16,and 0.48±0.05,respectively;the relative expression level of Col3a1 protein was 0.81±0.13,0.49±0.11 and 0.50±0.03;the relative expression level of TGF-β1 protein was 1.11±0.15,0.60±0.13,and 0.33±0.11;the relative expression level of p-Smad3/Smad3 proteins was 0.96±0.05,0.75±0.06 and 0.71±0.03.The mRNA expression level of Col1a1 was 1.01±0.17,0.58±0.11,and 0.52±0.12;the mRNA expression level of Col3a1 was 1.01±0.12,0.56±0.19,and 0.65±0.14;the expression level of ACTA2 mRNA was 1.01±0.13,0.24±0.04,and 0.22±0.07;the mRNA expression level of TGF-β1 was 1.00±0.09,0.50±0.10,and 0.49±0.15.The relative expression levels of p-Smad3/Smad3 proteins were 0.86±0.06,0.66±0.06,0.55±0.13,0.43±0.09,0.35±0.06,and 0.27±0.12,respectively,after time-related treatment with high-dose tangerine peel polysaccharides.The above indicators in medium-and high-dose tangerine peel polysaccharide groups showed statistically significant differences compared to those in the blank control group(P<0.05).Conclusion Tangerine peel polysaccharides can inhibit the cell proliferation and the synthesis of keloid-related genes on fibroblasts by inhibiting TGF-β1/Smad3 signaling pathway.
3.Construction and validation of a risk prediction model for oral frailty in the elderly community population
Min WANG ; Wenjuan YANG ; Ting LIAO ; Jinmei ZOU ; Dongxia LIAO ; Cuicui ZHANG ; Yingyi DENG ; Xiyan GONG ; Changju LIAO
Chinese Journal of Nursing 2025;60(3):274-280
Objective This study examines the factors influencing oral frailty in the elderly community,develops a risk prediction model,and validates its efficacy,so as to provide references for identifying and preventing oral weakness in the elderly.Methods 556 elderly individuals from 4 communities were selected by convenience sampling from June to August 2024 in Zigong City Sichuan Province.They were randomly divided into a training group(383 cases)and a validation group(165 cases).Data were collected by a general information questionnaire,Social Frailty Scale,Geriatric Depression Scale,and the Oral Frailty Index-8 screening tool.Logistic regression was used to determine the influencing factors,and R software was used to establish a nomogram model for predicting the risk of oral frailty.Bootstrap method and the validation group were used for internally validation of the model.Calibration curve was used to evaluate the prediction performance of the model.Results 548 valid questionnaires were collected.The final model variables included whether the age ≥80 years,wearing removable dentures,reduced frequency of going out,brushing teeth less than twice a day,frequent dry mouth,increased difficulty in eating hard foods,and choking.The area under the receiver operating characteristic curve of the training group was 0.95(95%CI:0.93~0.97),and the best cutoff value was 0.687.The model achieved an accuracy of 87%,sensitivity of 91%,specificity of 85%,positive predictive value of 0.75,and negative predictive value of 0.95.The Hosmer-Lemeshow fitting test show that x2=3.036,P=0.932,indicating a good model fit.Conclusion The oral frailty prediction model demonstrated a good discrimination,calibration,and clinical utility,which can provide a scientific basis for the prevention and early screening of oral frailty in the elderly.
4.Construction and validation of a risk prediction model for oral frailty in the elderly community population
Min WANG ; Wenjuan YANG ; Ting LIAO ; Jinmei ZOU ; Dongxia LIAO ; Cuicui ZHANG ; Yingyi DENG ; Xiyan GONG ; Changju LIAO
Chinese Journal of Nursing 2025;60(3):274-280
Objective This study examines the factors influencing oral frailty in the elderly community,develops a risk prediction model,and validates its efficacy,so as to provide references for identifying and preventing oral weakness in the elderly.Methods 556 elderly individuals from 4 communities were selected by convenience sampling from June to August 2024 in Zigong City Sichuan Province.They were randomly divided into a training group(383 cases)and a validation group(165 cases).Data were collected by a general information questionnaire,Social Frailty Scale,Geriatric Depression Scale,and the Oral Frailty Index-8 screening tool.Logistic regression was used to determine the influencing factors,and R software was used to establish a nomogram model for predicting the risk of oral frailty.Bootstrap method and the validation group were used for internally validation of the model.Calibration curve was used to evaluate the prediction performance of the model.Results 548 valid questionnaires were collected.The final model variables included whether the age ≥80 years,wearing removable dentures,reduced frequency of going out,brushing teeth less than twice a day,frequent dry mouth,increased difficulty in eating hard foods,and choking.The area under the receiver operating characteristic curve of the training group was 0.95(95%CI:0.93~0.97),and the best cutoff value was 0.687.The model achieved an accuracy of 87%,sensitivity of 91%,specificity of 85%,positive predictive value of 0.75,and negative predictive value of 0.95.The Hosmer-Lemeshow fitting test show that x2=3.036,P=0.932,indicating a good model fit.Conclusion The oral frailty prediction model demonstrated a good discrimination,calibration,and clinical utility,which can provide a scientific basis for the prevention and early screening of oral frailty in the elderly.
5.Changing distribution and resistance profiles of Klebsiella strains in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chuyue ZHUO ; Yingyi GUO ; Chao ZHUO ; 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 ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; 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 ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(4):418-426
Objective To understand the changing distribution and antimicrobial resistance profiles of Klebsiella strains in 52 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Antimicrobial susceptibility testing was carried out according to the unified CHINET protocol.The susceptibility results were interpreted according to the breakpoints in the Clinical & Laboratory Standards Institute(CLSI)M100 document.Results A total of 241,549 nonduplicate Klebsiella strains were isolated from 2015 to 2021,including Klebsiella pneumoniae(88.0%),Klebsiella aerogenes(5.8%),Klebsiella oxytoca(5.7%),and other Klebsiella species(0.6%).Klebsiella strains were mainly isolated from respiratory tract(48.49±5.32)%.Internal medicine(22.79±3.28)%,surgery(17.98±3.10)%,and ICU(14.03±1.39)%were the top 3 departments where Klebsiella strains were most frequently isolated.K.pneumoniae isolates showed higher resistance rate to most antimicrobial agents compared to other Klebsiella species.Klebsiella isolates maintained low resistance rates to tigecycline and polymyxin B.ESBLs-producing K.pneumoniae and K.oxytoca strains showed higher resistance rates to all the antimicrobial agents tested compared to the corresponding ESBLs-nonproducing strains.The K.pneumoniae and carbapenem-resistant K.pneumoniae(CRKP)strains isolated from ICU patients demonstrated higher resistance rates to majority of the antimicrobial agents tested than the strains isolated from non-ICU patients.The CRKP strains isolated from adult patients had higher resistance rates to most of the antimicrobial agents tested than the corresponding CRKP strains isolated from paediatric patients.Conclusions The prevalence of carbapenem-resistant strains in Klebsiella isolates increased greatly from 2015 to 2021.However,the Klebsiella isolates remained highly susceptible to tigecycline and polymyxin B.Antimicrobial resistance surveillance should still be strengthened for Klebsiella strains.
6.The predicting indices for the outcome of refractory septic shock in preterm infants
Yingyi LIN ; Hailing LIAO ; Dongju MA ; Yue WANG ; Junjuan ZHONG ; Jing ZHANG ; Jing MO ; Xiuzhen YE ; Chun SHUAI
Chinese Journal of Neonatology 2023;38(3):157-161
Objective:To study the predictive value of vasoactive-inotropic score (VIS), fluid overload (FO) and lactate level for the outcome of preterm infants with refractory septic shock.Methods:Preterm infants diagnosed with refractory septic shock and required hydrocortisone treatment in our Department from January 2016 to December 2021 were analyzed retrospectively. Preterm infants were assigned into three gestational age groups (<28 weeks, 28-31 weeks, 32-36 weeks). According to the outcome of the disease, the children were further divided into good prognosis group and poor prognosis group. The relationship between the maximum VIS, FO and the mean lactic acid before hydrocortisone and the outcome of refractory septic shock was analyzed by receiver operating characteristic (ROC) curve, the cut-off point of ROC curve was calculated to obtain the predictive efficacy of the three indicators for the outcome of refractory septic shock in preterm infants.Results:A total of 50 preterm infants with refractory septic shock and received hydrocortisone treatment were enrolled, including 20 in the good prognosis group and 30 in the poor prognosis group. There were no significant differences in the maximum VIS, FO and mean lactic acid before hydrocortisone treatment between the two groups of gestational age of <32 weeks ( P> 0.05). The maximum VIS, FO and mean lactic acid of gestational age of 32-36 weeks in the poor prognosis group were higher than those in the good prognosis group, VIS: 56.1±15.7 vs. 37.1±12.9, FO (%): 108.2 (78.6,137.7) vs. 55.5 (10.3, 100.7), and mean lactic acid (mmol/L): 8.3 (4.6, 12.0) vs. 4.8 (-0.8, 10.5), all P<0.05. The area under the ROC curve of the mean lactic acid was the largest, the cut-off value was 4.1 mmol/L, and the Youden index was 1.732. Conclusions:VIS, FO and lactate level are difficult to be used for determining the outcome of refractory septic shock in preterm infants of <32 weeks. While the mean lactic acid has the best predictive performance in preterm infants of 32-36 weeks.

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