1.Circular RNA_005987 mediates contrast-associated acute kidney injury through activating autophagy signaling by sponging miRNA-129-5p
Yeshen ZHANG ; Siyu KONG ; Haobin LIU ; Weikun CHEN ; Guangjun HUANG ; Yining DAI ; Ning TAN ; Yuanhui LIU
Chinese Journal of Nephrology 2025;41(2):114-124
Objective:To investigate the effect of circular RNA (circRNA)_005987 on contrast-associated acute kidney injury (CA-AKI) and its mechanism, and provide new ideas for the prevention and treatment of CA-AKI.Methods:CA-AKI rat models and HK-2 cell injury models were established using iopromide, and CA-AKI-related circRNA_005987 was screened based on circRNA expression chip and real-time quantitative PCR (RT-qPCR). Knockdown and overexpression of circRNA_005987 were performed in HK-2 cell model, respectively. Cell counting kit-8 (CCK-8) and Edu staining assays were used to evaluate cell proliferation. Western blotting was used to detect the protein expression of autophagy-related protein microtubule-associated protein 1 light chain 3B (LC3B), P62, beclin-1 and autophagy-related gene 14 (ATG14). Immunofluorescence staining was used to detect protein expression of LC3B. Electron microscope was used to observe the autophagosome formation. Autophagy activator rapamycin and autophagy inhibitor 3-methyladenine were used for in vitro rescue experiments to observe the changes of the above indicators. Mechanistically, bioinformatics analysis was applied to analyze the binding site among circRNA_005987, miR-129-5p and ATG14, and dual luciferase reporter assay was used to verify their interactions. CircRNA_005987 was knocked down and overexpressed in HK-2 cell model, and RT-qPCR was used to detect the expression of miR-129-5p. HK-2 cells were treated with miR-129-5p inhibitor and mimic, Western blotting was used to detect the protein expression of ATG14, and CCK8 and Edu staining assays were used to evaluate cell proliferation. Results:CircRNA_005987 expression was up-regulated in vitro and vivo CA-AKI models (both P<0.05). Overexpression of circRNA_005987 inhibited cell proliferation and promoted cell autophagy, while knockdown of circRNA_005987 had opposite effects (all P<0.05). In vitro rescue experiments confirmed that circRNA_005987 inhibited cell proliferation by activating autophagy ( P<0.05). The dual luciferase reporter assay suggested that there was an interaction between circRNA_005987, miR-129-5p and ATG14. Knockdown of circRNA_005987 increased miR-129-5p expression, while overexpression of circRNA_005987 inhibited miR-129-5p expression (both P<0.05). Knockdown of miR-129-5p inhibited cell proliferation, while overexpression of miR-129-5p reversed the effect (both P<0.05). Conclusion:CircRNA_005987 promotes CA-AKI through activating autophagy via sponging miR-129-5p, suggesting that circRNA_005987 plays an important role in the pathological process of CA-AKI.
2.Analysis of distribution characteristics and drug resistance of mucous and non-mucous Streptococcus pneumoniae infections
Yun XIANG ; Yuanhui SU ; Chunhong XIE ; Huiju ZHANG ; Yanqin NIE ; Xing CHEN ; Lianjiang HUANG
China Modern Doctor 2025;63(22):45-48,68
Objective To compare the distribution characteristics and drug resistance of mucous and non-mucous Streptococcus pneumoniae(SP).Methods SP isolated from clinical specimens of the Second Affiliated Hospital of Xiamen Medical College from January 2023 to June 2024 were collected.They were isolated,cultured and identified,and their susceptibility to antibacterial drugs was determined.Results A total of 291 SP strains were isolated,of which 20 strains were mucous SP and 271 strains were non-mucous SP.Children played a dominant role of non-mucous SP infection,but mucous SP mainly infected adults and the children above 5 years old.Both phenotypes of SP were mainly characterized by pulmonary infection.Non-mucous SP had a relatively high sensitivity rate to vancomycin,linezolid,penicillin,ertapenem,chloramphenicol,levofloxacin,moxifloxacin and ofloxacin.It had a high resistance rate to compound sulfamethoxazole,clindamycin,erythromycin and tetracycline.Mucous SP was completely sensitive to penicillin,amoxicillin,cefotaxime,ceftriaxone,ertapenem,vancomycin,linezolid,levofloxacin and moxifloxacin,and had a relatively high resistance rate to clindamycin,erythromycin and tetracycline.Conclusion The laboratory should enhance the detection capacity of mucous SP.Mucous SP is highly sensitive to common antibiotics.Clinicians should select antibiotics based on drug sensitivity results to delay the occurrence of drug resistance.
3.Analysis of distribution characteristics and drug resistance of mucous and non-mucous Streptococcus pneumoniae infections
Yun XIANG ; Yuanhui SU ; Chunhong XIE ; Huiju ZHANG ; Yanqin NIE ; Xing CHEN ; Lianjiang HUANG
China Modern Doctor 2025;63(22):45-48,68
Objective To compare the distribution characteristics and drug resistance of mucous and non-mucous Streptococcus pneumoniae(SP).Methods SP isolated from clinical specimens of the Second Affiliated Hospital of Xiamen Medical College from January 2023 to June 2024 were collected.They were isolated,cultured and identified,and their susceptibility to antibacterial drugs was determined.Results A total of 291 SP strains were isolated,of which 20 strains were mucous SP and 271 strains were non-mucous SP.Children played a dominant role of non-mucous SP infection,but mucous SP mainly infected adults and the children above 5 years old.Both phenotypes of SP were mainly characterized by pulmonary infection.Non-mucous SP had a relatively high sensitivity rate to vancomycin,linezolid,penicillin,ertapenem,chloramphenicol,levofloxacin,moxifloxacin and ofloxacin.It had a high resistance rate to compound sulfamethoxazole,clindamycin,erythromycin and tetracycline.Mucous SP was completely sensitive to penicillin,amoxicillin,cefotaxime,ceftriaxone,ertapenem,vancomycin,linezolid,levofloxacin and moxifloxacin,and had a relatively high resistance rate to clindamycin,erythromycin and tetracycline.Conclusion The laboratory should enhance the detection capacity of mucous SP.Mucous SP is highly sensitive to common antibiotics.Clinicians should select antibiotics based on drug sensitivity results to delay the occurrence of drug resistance.
4.Circular RNA_005987 mediates contrast-associated acute kidney injury through activating autophagy signaling by sponging miRNA-129-5p
Yeshen ZHANG ; Siyu KONG ; Haobin LIU ; Weikun CHEN ; Guangjun HUANG ; Yining DAI ; Ning TAN ; Yuanhui LIU
Chinese Journal of Nephrology 2025;41(2):114-124
Objective:To investigate the effect of circular RNA (circRNA)_005987 on contrast-associated acute kidney injury (CA-AKI) and its mechanism, and provide new ideas for the prevention and treatment of CA-AKI.Methods:CA-AKI rat models and HK-2 cell injury models were established using iopromide, and CA-AKI-related circRNA_005987 was screened based on circRNA expression chip and real-time quantitative PCR (RT-qPCR). Knockdown and overexpression of circRNA_005987 were performed in HK-2 cell model, respectively. Cell counting kit-8 (CCK-8) and Edu staining assays were used to evaluate cell proliferation. Western blotting was used to detect the protein expression of autophagy-related protein microtubule-associated protein 1 light chain 3B (LC3B), P62, beclin-1 and autophagy-related gene 14 (ATG14). Immunofluorescence staining was used to detect protein expression of LC3B. Electron microscope was used to observe the autophagosome formation. Autophagy activator rapamycin and autophagy inhibitor 3-methyladenine were used for in vitro rescue experiments to observe the changes of the above indicators. Mechanistically, bioinformatics analysis was applied to analyze the binding site among circRNA_005987, miR-129-5p and ATG14, and dual luciferase reporter assay was used to verify their interactions. CircRNA_005987 was knocked down and overexpressed in HK-2 cell model, and RT-qPCR was used to detect the expression of miR-129-5p. HK-2 cells were treated with miR-129-5p inhibitor and mimic, Western blotting was used to detect the protein expression of ATG14, and CCK8 and Edu staining assays were used to evaluate cell proliferation. Results:CircRNA_005987 expression was up-regulated in vitro and vivo CA-AKI models (both P<0.05). Overexpression of circRNA_005987 inhibited cell proliferation and promoted cell autophagy, while knockdown of circRNA_005987 had opposite effects (all P<0.05). In vitro rescue experiments confirmed that circRNA_005987 inhibited cell proliferation by activating autophagy ( P<0.05). The dual luciferase reporter assay suggested that there was an interaction between circRNA_005987, miR-129-5p and ATG14. Knockdown of circRNA_005987 increased miR-129-5p expression, while overexpression of circRNA_005987 inhibited miR-129-5p expression (both P<0.05). Knockdown of miR-129-5p inhibited cell proliferation, while overexpression of miR-129-5p reversed the effect (both P<0.05). Conclusion:CircRNA_005987 promotes CA-AKI through activating autophagy via sponging miR-129-5p, suggesting that circRNA_005987 plays an important role in the pathological process of CA-AKI.
5.Application value of prediction model based on magnetic resonance imaging machine learning algorithm and radiomics in predicting lymphovascular invasion status of rectal cancer with-out lymph node metastasis
Leping PENG ; Xiuling ZHANG ; Yuanhui ZHU ; Ling WANG ; Wenting MA ; Yaqiong MA ; Gang HUANG ; Lili WANG
Chinese Journal of Digestive Surgery 2024;23(8):1099-1111
Objective:To construct an prediction model based on magnetic resonance imaging (MRI) machine learning algorithm and radiomics and investigate its application value in predicting lymphovascular invasion (LVI) status of rectal cancer without lymph node metastasis.Methods:The retrospective cohort study was conducted. The clinicopathological data of 204 rectal cancer patients without lymph node metastasis who were admitted to Gansu Provincial Hospital from February 2016 to January 2024 were collected. There were 123 males and 81 females, aged (61±7)years. All 204 patients were randomly divided into the training dataset of 163 cases and the testing dataset of 41 cases by a ratio of 8∶2 using the electronic computer randomization method. The training dataset was used to construct the prediction model, and the testing dataset was used to validate the prediction model. The clinical prediction model, radiomics model and joint prediction model were constructed based on the selected clinical and/or imaging features. Measurement data with normal distribution were represented as Mean± SD. Count data were described as absolute numbers, and the chi-square test or Fisher exact probability were used for comparison between the groups. Comparison of ordinal data was conducted using the nonparameter rank sum test. The inter-class correlation coefficient (ICC) was used to evaluate the consistency of the radiomics features of the two doctors, and ICC >0.80 was good consistency. Univariate analysis was conducted by corres-ponding statistic methods. Multivariate analysis was conducted by Logistic stepwise regression model. The receiver operating characteristic (ROC) curve was drawn, and the area under the curve (AUC), Delong test, decision curve and clinical impact curve were used to evaluate the diagnostic efficiency and clinical utility of the model. Result:(1) Analysis of factors affecting LVI status of patients. Of the 204 rectal cancer patients without lymph node metastasis, there were 71 cases with positive of LVI and 133 cases with negative of LVI. Results of multivariate analysis showed that gender, platelet (PLT) count and carcinoembryonic antigen (CEA) were independent factors affecting LVI status of rectal cancer without lymph node metastasis in training dataset [ odds ratio=2.405, 25.062, 2.528, 95% confidence interval ( CI) as 1.093-5.291, 2.748-228.604, 1.181-5.410, P<0.05]. (2) Construction of clinical prediction model. The clinical prediction model was conducted based on the results of multivariate analysis including gender, PLT count and CEA. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of clinical prediction model were 0.721 (95% CI as 0.637-0.805), 0.675, 0.632 and 0.698 for the training dataset, and 0.795 (95% CI as 0.644-0.946), 0.805, 1.000 and 0.429 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of clinical prediction model between the training dataset and the testing dataset ( Z=-0.836, P>0.05). (3) Construction of radiomics model. A total of 851 radiomics features were extracted from 204 patients, and seven machine learning algorithms, including logistic regression, support vector machine, Gaussian process, logistic regression-lasso algorithm, linear discriminant analysis, naive Bayes and automatic encoder, were used to construct the prediction model. Eight radiomics features were finally selected from the optimal Gaussian process learning algorithm to construct a radiomics prediction model. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.857 (95% CI as 0.800-0.914), 0.748, 0.947 and 0.642 for the training dataset, and 0.725 (95% CI as 0.571-0.878), 0.634, 1.000 and 0.444 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of radiomics prediction model between the training dataset and the testing dataset ( Z=1.578, P>0.05). (4) Construction of joint prediction model. The joint prediction model was constructed based on the results of multivariate analysis and the radiomics features. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.885 (95% CI as 0.832-0.938), 0.791, 0.912 and 0.726 for the training dataset, and 0.857 (95% CI as 0.731-0.984), 0.854, 0.714 and 0.926 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of joint prediction model between the training dataset and the testing dataset ( Z=0.395, P>0.05). (5) Performance comparison of three prediction models. Results of the Hosmer-Lemeshow goodness-of-fit test showed that all of the clinical prediction model, radiomics prodiction model and joint prediction model having good fitting degree ( χ2=1.464, 12.763, 10.828, P>0.05). Results of Delong test showed that there was no signifi-cant difference in the AUC between the clinical prediction model and the joint prediction model or the radiomics model ( Z=1.146, 0.658, P>0.05), and there was a significant difference in the AUC between the joint prediction model and the radiomics model ( Z=2.001, P<0.05). Results of calibra-tion curve showed a good performance in the joint prediction model. Results of decision curve and clinical impact curve showed that the performance of joint prediction model in predicting LVI status of rectal cancer without lymph node metastasis was superior to the clinical prediction model and the radiomics model. Conclusions:The clinical prediction model is constructed based on gender, PLT count and CEA. The radiomics predictive model is constructed based on 8 selected radiomics features. The joint prediction model is constructed based on the clinical prediction model and the radiomics predictive model. All of the three models can predict the LVI status of rectal cancer with-out lymph node metastasis, and the joint prediction model has a superior predictive performance.
6.Research progress of cirrhotic portal hypertension in diagnostic imaging methods
Jinkui LI ; Hongliang HUANG ; Yuanhui ZHU ; Junqiang LEI
Chinese Journal of Hepatology 2021;29(12):1224-1228
Hepatic venous pressure gradient measurement via jugular vein catheterization is still currently the gold standard for evaluating portal hypertension. However, how to accurately and reproducibly assess whether there is portal hypertension has always been a concern in patients with liver cirrhosis. In recent years, imaging methods have made significant progress in the non-invasive diagnosis of portal hypertension. This paper reviews the current different diagnostic value of imaging methods and related research progress in an attempt to evaluate patients with cirrhotic portal hypertension.
7.Isolation and culture of adipose-derived mesenchymal stem cells from inbreed line miniature pig of Wuzhishan and their biological characteristics.
Denggao HUANG ; Hui CAO ; Shunlan WANG ; Linlin ZHENG ; Zongwen CHEN ; Xiaohong WEN ; Shufang ZHANG ; Yang XIANG ; Yuanhui GAO
Journal of Central South University(Medical Sciences) 2019;44(3):297-306
To establish a method for isolation, culture and identification of adipose-derived mesenchymal stem cells (ASCs) from the inbreed line miniature pig of Wuzhishan (ILMW).
Methods: A total of 100 g adipose tissues were obtained from subcutaneous tissues of neck in six-month old healthy ILMW (3 samples, male). ASCs from ILMW (ILMW-ASCs) were isolated from adipose tissues through 0.1% collagenase digestion. The cells at the 3rd, 5th, 8th, 13th passages were collected. Cell morphology, size, phenotype, cell cycle, and apoptosis were monitored. Cell differentiation was induced and cell proliferation curve was drawn.
Results: The ILMW-ASCs, fibroblast-like or whirlpool-like, began the adherence at 36 h and entered a logarithmic phase in the 5th day. Eighty percent of them were fused in the 7th day. The average diameter and volume of ILMW-ASCs were (17.00±0.54) µm and (2.58±0.24)×10-9 L, respectively. The expressions of CD29, CD44 and CD90 were positive, and there was no significant difference between the different passages (all P>0.05). The expressions of CD45, CD8a and HLA-DR were increased with the increase in passages after the 3th passage (all P<0.05). The adipogenic induction of ILMW-ASCs was observed by positive oil red O staining, and the osteogenic induction of ILMW-ASCs was determined by positive alizarin red staining. Apoptosis and senescence occurred in the 13 passage of ILMW-ASCs, and the proportion of S phase of cell cycle was lower than that in lower passages (all P<0.05).
Conclusion: ILMW-ASCs are one of the best choice for porcine ASCs, which might provide a source of candidate stem cells for therapy of large animal disease models and tissue or organ repairment.
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Mesenchymal Stem Cells
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Swine
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Swine, Miniature
8.Correlation among serum homocysteine , cystatin C levels and severity of coronary artery disease/
Jing LIU ; Tieliang ZHANG ; Ding HUANG ; Yuanhui DAI
Chinese Journal of cardiovascular Rehabilitation Medicine 2019;28(6):16-19
To analyze correlation among serum homocysteine (Hcy) ,Cysteine C (CysC) levels and severi‐ ty of coronary artery disease .Methods : A total of 220 coronary heart disease (CHD) patients treated in our hospital from Sep 2015 to Dec 2017 were selected as CHD group .According to Gensini score ,CHD group were divided into mild stenosis group (n= 63 ) ,moderate stenosis group (n= 71 ) and severe stenosis group (n= 86 ).Another 200 healthy people were enrolled as healthy control group .Serum Hcy and CysC levels were measured and compared a‐mong all groups .Correlation among serum Hcy , CysC levels and severity of coronary artery disease were analyzed . Results : Compared with healthy control group ,there were significant rise in serum Hcy [ (8.29 ± 1.02) μmol/L vs. (16. 14 ± 3.01) μmol/L] and CysC [ (0. 65 ± 0.11) mg/L vs.(1. 21 ± 0.12) mg/L] levels in CHD group .P=0. 001 all.Compared with mild stenosis group ,there were significant rise in serum Hcy [(9. 31 ± 1.12) μmol/L vs.(12. 13 ± 3.32) μmol/L vs.(14.61 ± 3.82) μmol/L] and CysC [ (1.05 ± 0.21) mg/L vs.(1. 51 ± 0. 52) mg/L vs.(3.42 ± 1.01) mg/L] levels in moderate stenosis group and severe stenosis group ,and those of severe stenosis group were significantly higher than those of moderate stenosis group , P=0.001 all.Pearson correlation analysis indicated that serum Hcy ( r=0.431 , P=0.004) , CysC ( r=0.640 , P=0. 003) levels were significant positively correlated with Gensini score .Conclusion :Serum Hcy and CysC levels is closely correlated with severity of coronary artery disease . Its detect is help for therapeutic effect and prognosis assessment for CHD patients .
9.The anti-tumor effect of Coix stalk alcohol extraction on H22 tumor-bearing mice
Tingzhang HUANG ; Yuanhui LI ; Shengqi GUO ; Shanshan LU ; Liangyu QI ; Xueping FENG ; Suoyi HUANG
Tianjin Medical Journal 2015;(11):1278-1280,1281
Objective To study the anti-tumor effects of alcohol extraction of Coix stalk objects on H22 tumor-bearing mice. Methods The animal model of tumor bearing mice with H22 ascitic tumor cells was established. Eighty-four model mice were randomly and equally divided into Coix stalk extract groups 1-5 (10, 8, 6, 4 and 2 g/kg), model control group and cyclophosphamide group. Mice were treated orally with Coix stalk alcohol extraction solution (10, 8, 6, 4 and 2 g/kg), cyclophosphamide 0.02 g/kg and normal saline once a day for 8 days for Coix stalk extract group, cyclophosphamide group and model control group. The mouse activity, the size and the appearance of time of abdominal swelling, and changes of hair, feeding and drinking water quantity were observed in groups of mice. The solid tumor mass was measured in H22 tumor-bearing mice. The tumor inhibitory rate, liver index, spleen index and thymus index were calculated. Results The axillary tumor muster was found first in model control group with the fastest growth, reduced independent activity, decreased appetite and dim in hair color, followed by the Coix stalk extract group 1 and group 2. The last was Coix stalk extract group 5 and cyclophosphamide group. The solid tumor mass were (0.47±0.18), (0.37± 0.13), (0.34±0.10), (0.30±0.11) and (0.28±0.09) mg for Coix stalk alcohol extract groups 1-5, which were significantly lower than those of model control group (0.60 mg±0.21 mg, F=5.700,P<0.05). The tumor inhibition rates were 21.67%, 38.33%, 43.33%, 50.00%, 53.33%and 60.00%in Coix stalk extract groups 1-5 and cyclophosphamide group. The liver index, spleen index and thymus index were lower in cyclophosphamide group and Coix stalk alcohol extract groups than those of model control group (except for the spleen index of Coix stalk extract group 1). The liver index was lower in Coix stalk ethanol extract groups than that of cyclophosphamide group. There were no significant differences in the spleen index, thymus index between Coix stalk ethanol extract groups and cyclophosphamide group. Conclusion Coix stalk alcohol extract has inhibitory effects on the tumor and liver damage in H22 mice.
10.Anti-inflammatory and Analgesic Effects of Different Extracts of Folium Pyrrosiae
Yunda LI ; Tao HUANG ; Zudi YAN ; Zhaoping ZHANG ; Yuanhui LI ; Zhongli MA ; Shanmin ZHAO
China Pharmacist 2014;(10):1642-1644
Objective:To study the anti-inflammatory and analgesic effects of different solvent extracts of Folium Pyrrosiae. Meth-ods:Water extract and 75% alcohol extract of Folium Pyrrosiae were obtained. Mouse auricle swelling model induced by xylene was used to observe the anti-inflammation. The analgesic effect was tested by acetic acid writhing test and hot plate test. Results:The eth-anol extract of Folium Pyrrosiae could markedly inhibit the mouse auricle swelling induced by xylene (P<0. 01), and had the ability to inhibit the twisting induced by acetic acid in the mice (P <0. 05). The ethanol extract of Folium Pyrrosiae could increase the threshold of pain in the mice significantly after the 1-hour and 2-hour treatment (P<0. 05). The water extract of Folium Pyrrosiae could inhibit the mouse auricle swelling induced by xylene and the writhing reaction induced by acetic acid (P<0. 05). The water ex-tract of Folium Pyrrosiae could increase the threshold of pain in the mice significantly after the 1-hour treatment (P<0. 05). Conclu-sion:Folium Pyrrosiae has obvious analgesic and anti-inflammatory effects.

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