1.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.
2.Comparing Arsenic-Containing Qinghuang Powder and Low-Intensity Chemotherapy in Elderly Patients with Acute Myeloid Leukemia.
Yu-He WU ; Hai-Yan XIAO ; Ri-Cheng QUAN ; Xu-Dong TANG ; Wei-Yi LIU ; Yan LYU ; Zhuo CHEN ; Chi LIU ; Xiao-Mei HU
Chinese journal of integrative medicine 2023;29(9):832-837
OBJECTIVE:
To compare the clinical effect of arsenic-containing Qinghuang Powder (QHP) and low-intensity chemotherapy (LIC) in treatment of elderly acute myeloid leukemia (eAML) patients.
METHODS:
Clinical data of 80 eAML patients treated at Xiyuan Hospital of China Academy of Chinese Medical Sciences from January 2015 to December 2020 were retrospectively analyzed. The treatment scheme was designed by real world study according to patients' preference, and patients were divided into a QHP group (35 cases) and a LIC group (45 cases). The median overall survival (mOS), 1-, 2-, and 3-year OS rates, and incidence of adverse events were compared between the two groups.
RESULTS:
The mOS of 80 patients was 11 months, and the 1-, 2-, and 3-year OS rates were 45.51%, 17.96%, and 11.05%, respectively. The QHP and LIC groups demonstrated no significant difference in mOS (12 months vs. 10 months), 1- (48.57% vs. 39.65%), 2- (11.43% vs. 20.04%), and 3-year OS rates (5.71% vs. 13.27%, all P>0.05). Moreover, the related factors of mOS demonstrated no significant difference in patients with age>75 years (11 months vs. 8 months), secondary AML (11 months vs. 8 months), poor genetic prognosis (9 months vs. 7 months), Eastern Cooperative Oncology Group performance status score ⩾ 3 (10 months vs. 7 months) and hematopoietic stem cell transplant comorbidity index ⩾ 4 (11 months vs. 7 months) between the QHP and LIC groups (all P>0.05). However, the incidence of myelosuppression was significantly lower in the QHP group than that in the LIC group (28.57% vs. 73.33%, P<0.01).
CONCLUSIONS
QHP and LIC had similar survival rates in eAML patients, but QHP had a lower myelosuppression incidence. Hence, QHP can be an alternative for eAML patients who do not tolerate LIC.
Humans
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Aged
;
Arsenic/therapeutic use*
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Powders/therapeutic use*
;
Retrospective Studies
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Leukemia, Myeloid, Acute/drug therapy*
;
Prognosis
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Antineoplastic Combined Chemotherapy Protocols/therapeutic use*
3.Influencing Factors and Prediction Model of Performance of Needle Visualization in Fine Needle Aspiration of Thyroid Nodules.
Liang-Kai WANG ; Jia-Jia TANG ; Wen-Quan NIU ; Xin-Ying JIA ; Xue-Hua XI ; Jiao-Jiao MA ; Hui-Lin LI ; Zhe SUN ; Xin-Yi LIU ; Bo ZHANG
Acta Academiae Medicinae Sinicae 2023;45(3):366-373
Objective To investigate the influencing factors and establish a model predicting the performance of needle visualization in fine-needle aspiration (FNA) of thyroid nodules. Methods This study prospectively included 175 patients who underwent FNA of thyroid nodules in the Department of Ultrasound in China-Japan Friendship Hospital and compared the display of the needle tips in the examination of 199 thyroid nodules before and after the application of needle visualization.We recorded the location,the positional relationship with thyroid capsule,ultrasonic characteristics,and the distribution of the soft tissue strip structure at the puncture site of the nodules with unclear needle tips display before using needle visualization.Furthermore,according to the thyroid imaging reporting and data system proposed by the American College of Radiology,we graded the risk of the nodules.Lasso-Logistic regression was employed to screen out the factors influencing the performance of needle visualization and establish a nomogram for prediction. Results The needle tips were not clearly displayed in the examination of 135 (67.8%) and 53 (26.6%) nodules before and after the application of needle visualization,respectively,which showed a significant difference (P<0.001).Based on the positional relationship between the nodule and capsule,anteroposterior/transverse diameter (A/T) ratio,blood supply,and the distribution of subcutaneous strip structure at the puncture site,a nomogram was established to predict the probability of unclear display of the needle tips after application of needle visualization.The C-index of the prediction model was 0.75 (95%CI=0.67-0.84) and the area under the receiver operating characteristic curve was 0.72.The calibration curve confirmed the appreciable reliability of the prediction model,with the C-index of 0.70 in internal validation. Conclusions Needle visualization can improve the display of the needle tip in ultrasound-guided FNA of thyroid nodules.The nomogram established based on ultrasound features such as the positional relationship between the nodule and capsule,A/T ratio,blood supply,and the distribution of subcutaneous strip structure at the puncture site can predict whether needle visualization is suitable for the examination of nodules.
Humans
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Thyroid Nodule/diagnostic imaging*
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Biopsy, Fine-Needle/methods*
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Reproducibility of Results
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Ultrasonography
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Retrospective Studies
;
Thyroid Neoplasms
4.Characterisation of serum lipidomic profiles in patients with chronic actinic dermatitis based on liquid chromatography-mass spectrometry
Quan CHEN ; Yi TANG ; Huaping LI ; Weihong WU ; Huiyan DENG ; Jiaoquan CHEN ; Lezi CHEN ; Zhenjie LI ; Huilan ZHU
Chinese Journal of Dermatology 2023;56(12):1107-1114
Objective:To investigate serum lipidomic profiles in patients with chronic actinic dermatitis (CAD), and to search for biomarkers of CAD.Methods:A retrospective analysis was conducted. Serum samples were collected from 46 patients with CAD and 16 age- and gender-matched healthy controls in the Guangzhou Institute of Dermatology from April 2011 to December 2021. Changes in serum lipid composition and expression were assessed by liquid chromatography-mass spectrometry. Principal component analysis, partial least squares discriminant analysis, and orthogonal partial least squares discriminant analysis were performed to screen differential biomarkers, and receiver operating characteristic (ROC) curve analysis was conducted to screen diagnostic markers. Comparisons of the age and gender distribution between groups were performed using t test and chi-square test, respectively. Results:The 46 CAD patients were aged from 30 to 84 (60.39 ± 10.52) years, including 41 males and 5 females; the 16 healthy controls were aged from 50 to 89 (59.81 ± 10.72) years, including 14 males and 2 females; there were no significant differences in the age or gender distribution between the two groups (age: t = 0.19, P = 0.853; gender: χ2 = 0.03, P = 0.859). Totally, 4 136 lipid molecules belonging to 40 subclasses were identified in the serum samples from CAD patients as well as healthy controls. Twenty-two differential lipid molecules were identified between the CAD patients and healthy controls, belonging to 9 subclasses (triglycerides, sphingomyelin, phosphatidylserine, phosphatidylethanolamine, monofatty acid glycerides, lysophosphatidylcholine, hexose ceramide, diglycerides, and cardiolipin). When the combinations of triglycerides (37.7e) and Na, those of monoglycerides (22.3) and NH 4, or those of phosphatidylserine (18.0_18.1) and H served as diagnostic markers separately, the areas under the ROC curve (AUCs) were all > 0.8, and the AUCs of 16 differential lipid molecules were all > 0.7. Conclusion:The serum lipid composition differed between healthy controls and CAD patients, and the combinations of triglycerides (37.7e) and Na, those of monoglycerides (22.3) and NH 4, and those of phosphatidylserine (18.0_18.1) and H may be promising biomarkers for the diagnosis of CAD.
5.Transcriptomic analysis of human papillomavirus type 16 immortalized cervical epithelial cell line H8 after malignant transformation
Yi TANG ; Quan CHEN ; Huaping LI ; Runxiang LI ; Bihua LIANG ; Liqian PENG ; Jiaoquan CHEN ; Shanshan OU ; Weihong WU ; Huilan ZHU
Chinese Journal of Experimental and Clinical Virology 2023;37(3):303-309
Objective:To investigate the related genes, signaling pathways and possible mechanisms of malignant transformation of human papillomavirus type 16 (HPV-16) immortalized cervical epithelial cell line H8.Methods:The malignant transformed H8 cell model was constructed, and the changes of cell invasion ability and cell migration ability of H8 cells after malignant transformation were detected by Transwell assay, and the changes of clone formation ability of H8 cells after malignant transformation were detected by plate clone formation assay. Total RNA was extracted from malignant transformed H8 cells and H8 cells, and the two groups of cells were sequenced by transcriptome using Illumina novaseq 6000 sequencing platform, differentially expressed genes (DEGs) were identified and analyzed, and Gene Ontology (GO) function enrichment analysis, Kyoto Encyclopedia of genes and genomes (KEGG) pathway enrichment analysis and protein-protein interaction were performed.Results:The invasion ability, migration ability and clone formation ability of malignant transformed H8 cells significantly increased as compared to H8 cells. A total of 203 differentially expressed genes were identified in H8 cells before and after malignant transformation, of which 98 were up-regulated and 105 down-regulated. GO enrichment analysis showed that DEGs were mainly involved in biological processes such as cellular processes, biological regulation, and metabolic processes. KEGG pathway enrichment analysis showed that DEGs were mainly enriched in alanine, aspartate and glutamate metabolic pathway, glycine, serine and threonine metabolism pathway, p53 signaling pathway and TGF-β signaling pathway, PI3K-Akt signaling pathway. PPI analysis screened 10 hub genes including DDIT3, TRIB3 and ASNS.Conclusions:Compared with H8 cells, malignant transformed H8 cells have a large number of differentially expressed genes and pathways at the transcriptional level, which could further provide new ideas for the mechanism of malignant transformation and carcinogenesis as well as finding new targets for the prevention of malignant transformation.
6.Persisting lung pathogenesis and minimum residual virus in hamster after acute COVID-19.
Lunzhi YUAN ; Huachen ZHU ; Ming ZHOU ; Jian MA ; Rirong CHEN ; Liuqin YU ; Wenjia CHEN ; Wenshan HONG ; Jia WANG ; Yao CHEN ; Kun WU ; Wangheng HOU ; Yali ZHANG ; Shengxiang GE ; Yixin CHEN ; Quan YUAN ; Qiyi TANG ; Tong CHENG ; Yi GUAN ; Ningshao XIA
Protein & Cell 2022;13(1):72-77
Animals
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Antibodies, Neutralizing/biosynthesis*
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Antibodies, Viral/biosynthesis*
;
Body Weight/immunology*
;
COVID-19/virology*
;
Disease Models, Animal
;
Disease Progression
;
Humans
;
Immunohistochemistry
;
Lung/virology*
;
Male
;
Mesocricetus
;
Nasal Cavity/virology*
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RNA, Viral/immunology*
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SARS-CoV-2/pathogenicity*
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Severity of Illness Index
;
Viral Load
7.Advances in the Immunotherapeutic Potential of Isocitrate Dehydrogenase Mutations in Glioma.
Feng TANG ; Zhiyong PAN ; Yi WANG ; Tian LAN ; Mengyue WANG ; Fengping LI ; Wei QUAN ; Zhenyuan LIU ; Zefen WANG ; Zhiqiang LI
Neuroscience Bulletin 2022;38(9):1069-1084
Isocitrate dehydrogenase (IDH) is an essential metabolic enzyme in the tricarboxylic acid cycle (TAC). The high mutation frequency of the IDH gene plays a complicated role in gliomas. In addition to affecting gliomas directly, mutations in IDH can also alter their immune microenvironment and can change immune-cell function in direct and indirect ways. IDH mutations mediate immune-cell infiltration and function by modulating immune-checkpoint gene expression and chemokine secretion. In addition, IDH mutation-derived D2-hydroxyglutarate can be absorbed by surrounding immune cells, also affecting their functioning. In this review, we summarize current knowledge about the effects of IDH mutations as well as other gene mutations on the immune microenvironment of gliomas. We also describe recent preclinical and clinical data related to IDH-mutant inhibitors for the treatment of gliomas. Finally, we discuss different types of immunotherapy and the immunotherapeutic potential of IDH mutations in gliomas.
Brain Neoplasms/therapy*
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Glioma/therapy*
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Humans
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Immunotherapy
;
Isocitrate Dehydrogenase/genetics*
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Mutation/genetics*
;
Tumor Microenvironment
8.Prediction model of recovery time after gynecological robotic surgical procedures
Yi LIU ; Yongzhong TANG ; Chengxuan QUAN ; Dong HUANG ; Wen OUYANG ; Xuebin YAN
Journal of Chinese Physician 2021;23(12):1805-1809
Objective:In order to accurately evaluate the postoperative rehabilitation of gynecological robotic surgery, a prediction model for evaluating postanesthesia care unit (PACU) extubation time and hospital stay in gynecological robotic surgery was established.Methods:The clinical data of gynecological patients who underwent robotic surgery in Xiangya Third Hospital of Central South University from October 2015 to May 2017 were retrospectively analyzed, and the data were screened to evaluate the postoperative recovery of patients from two aspects: PACU extubation time and postoperative hospital stay. Binary logistic regression was used to screen out the factors affecting PACU extubation time and postoperative hospital stay, and the prediction model was preliminarily established and verified.Results:Finally, there were 456 patients and 30 variables analyzed in the binary logistics regression. According to these variables, the prediction model of the postoperative recovery evaluation after gynecological robotic surgical procedures was established. Among them, age, intraoperative amount of atracurium and midazolam were independent risk factors affecting PACU extubation time (all P<0.05). American Society of Anesthesiologists (ASA) grade, intraoperative amount of midazolam, intraoperative bleeding and operation time were independent risk factors affecting postoperative hospital stay (all P<0.05). All models passed Hosmer lemeshow test (all P>0.05); The areas under the receiver operating characteristic curve (ROC) were 0.647 and 0.806, respectively. Conclusions:The prediction model of PACU extubation time and the postoperative hospitalization time has been established.
9.Effect of pterostilbene on the growth, apoptosis and autophagy of a human papillomavirus type 16-immortalized cervical epithelial cell line H8
Quan CHEN ; Yi TANG ; Huaping LI ; Jiaoquan CHEN ; Liqian PENG ; Ridong YANG ; Huiyan DENG ; Zhenjie LI ; Huilan ZHU
Chinese Journal of Dermatology 2021;54(10):861-868
Objective:To investigate the effect of pterostilbene on the growth, apoptosis and autophagy of a human papillomavirus type 16 (HPV-16) -immortalized cervical epithelial cell line H8.Methods:H8 cells were treated with pterostilbene at different concentrations of 0 (control group) , 25, 50, 75, 100 μmol/L for 24 and 48 hours. Cell counting kit-8 (CCK8) assay was performed to evaluate the cellular proliferative activity, flow cytometry was conducted to detect apoptosis and cell cycle, monodansylcadaverine (MDC) staining and fluorescence microscopy were performed to detect autophagy, and Western blot analysis was conducted to determine the expression of the cell cycle-related protein cyclinD1, apoptosis-related proteins caspase-3 and caspase-9, autophagy-related proteins Beclin1, microtubule-associated protein 1 light chain 3 (LC3) -Ⅱ/Ⅰ, ATG5 and P62, as well as HPV oncoproteins E6 and E7. Statistical analysis was carried out by using one-way analysis of variance, repeated measures analysis of variance and least significant difference- t test. Results:After 48-hour treatment with pterostilbene at different concentrations of 0, 25, 50, 75, 100 μmol/L, the relative cellular proliferation rate significantly differed among the groups (100.00% ± 1.56%, 99.02% ± 4.97%, 93.59% ± 2.01%, 81.28% ± 4.90%, 69.17% ± 7.56%, respectively; F = 77.22, P < 0.05) , and gradually decreased along with the increase in the concentration of pterostilbene; compared with the control group, the pterostilbene groups all showed significantly decreased cellular proliferation rate (all P < 0.05) . After 24-hour treatment with pterostilbene, the proportions of H8 cells at G1, G2 and S phases significantly differed among the above groups ( F = 7 845.00, 51.14, 266.50, respectively, all P < 0.05) ; compared with the control group, the pterostilbene groups showed significantly increased proportions of H8 cells at G1 and G2 phases (all P < 0.05) , but significantly decreased proportions of H8 cells at S phase ( P < 0.05) . After 48-hour treatment with pterostilbene, the apoptosis rate was significantly higher in the 25-, 50-, 75- and 100-μmol/L pterostilbene groups (14.66% ± 0.22%, 13.50% ± 0.49%, 14.56% ± 0.19%, 15.30% ± 0.76%, respectively) than in the control group (11.58% ± 0.50%, all P < 0.05) . After 24-hour treatment with pterostilbene, MDC staining showed only a small number of H8 cells with bright dot-like fluorescence in the control group, but increased number of autophagosome-positive H8 cells with bright dot-like fluorescence in the pterostilbene groups. Western blot analysis revealed that there were significant differences in the protein expression of cyclin D1, caspase-3, caspase-9, Beclin1, LC3-Ⅱ/Ⅰ, ATG5, P62, E6 and E7 among the control and pterostilbene groups after 24- and 48-hour treatment with pterostilbene (all P < 0.05) . The treatment with pterostilbene could down-regulate the expression of cyclin D1, E6 and E7, and up-regulate the expression of caspase-3, caspase-9, Beclin1, LC3-Ⅱ/Ⅰ, ATG5 and P62, with significant differences between the control group and most pterostilbene groups in expression of the above proteins (all P < 0.05) . Conclusion:Pterostilbene can inhibit the proliferation of H8 cells, promote their apoptosis and autophagy, and down-regulate the expression of oncogenes E6 and E7.
10.Circular RNAs in peripheral blood mononuclear cells from ankylosing spondylitis.
Yi-Ping TANG ; Quan-Bo ZHANG ; Fei DAI ; Xia LIAO ; Zeng-Rong DONG ; Ting YI ; Yu-Feng QING
Chinese Medical Journal 2021;134(21):2573-2582
BACKGROUND:
Circular RNA (circRNA) is a type of closed circular noncoding RNA (ncRNA), mostly formed by back-splicing or alternative splicing of pre-messenger RNA (mRNA). The aim of this study was to explore the expression profile of circRNA in peripheral blood mononuclear cells (PBMCs) of patients with ankylosing spondylitis (AS) and discover potential molecular markers of AS.
METHODS:
The circRNA microarray technology was used to detect the expression of circRNAs in the peripheral blood of 6 patients with AS and 6 healthy controls (HC). To screen the differentially expressed circRNAs by fold change (FC) and P value, these differentially expressed circRNAs were analyzed by bioinformatics. In 60 cases of AS and 30 cases of HC, 4 circRNAs were subjected to real-time fluorescence quantitative polymerase chain reaction (RT-qPCR), and their correlation with various clinical indicators was analyzed. Finally, the receiver operating characteristic (ROC) curve was used to analyze their potential as AS diagnostic markers.
RESULTS:
The microarray results showed that there were 1369 significantly differently expressed (P < 0.05, FC > 1.5) circRNAs between the AS and HC groups (675 upregulated and 694 downregulated). The results of bioinformatics analysis suggested that they were mainly involved in "enzyme binding," "adenosine ribonucleotide binding," "MAPK signaling pathway", etc. The RT-qPCR results showed that the expressions of hsa_circRNA_001544 (U = 486.5, P < 0.05) and hsa_circRNA_102532 (U = 645, P < 0.05) were significantly different between the AS group and the HC group. The AS group was further divided into two subgroups: active AS (ASA) and stable AS (ASS). After analysis, it was found that compared with the HC group, hsa_circRNA_001544 was significantly increased in both ASA (U = 214, P < 0.05) and ASS groups (U = 273, P < 0.05), while hsa_circRNA_008961 (U = 250, P < 0.05) and hsa_circRNA_102532 (U = 295, P < 0.05) were only significantly increased in the ASA group. Furthermore, hsa_circRNA_012732 was significantly different between the ASA and ASS groups (U = 194, P < 0.05), and there was no statistical significance among the remaining groups. Correlation analysis results showed that hsa_circRNA_012732 was negatively correlated with Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), high-sensitivity C-reactive protein (hsCRP), and globulin (GLOB) and positively correlated with lymphocyte count (LY), mean corpusular volume, and albumin (ALB), and hsa_circRNA_008961 was negatively correlated with platelet (PLT) count. ROC curve analysis showed that hsa_circRNA_001544 (95% CI = 0.610-0.831, P < 0.05) and hsa_circRNA_102532 (95% CI = 0.521-0.762, P < 0.05) were statistically significant, and their area under curve (AUC) values were 0.720 and 0.642, respectively.
CONCLUSIONS
There are differentially expressed circRNAs in PBMCs of AS patients, and they may be involved in the occurrence and development of AS. Among these differentially expressed circRNAs, hsa_circRNA_012732 has the potential to become an indicator of disease activity, and hsa_circRNA_001544 has the potential to become a molecular marker for AS diagnosis.
Humans
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Leukocytes, Mononuclear
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RNA/genetics*
;
RNA, Circular
;
ROC Curve
;
Spondylitis, Ankylosing/genetics*

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