1.Functional characterization of flavonoid glycosyltransferase AmGT90 in Astragalus membranaceus.
Guo-Qing PENG ; Bing-Yan XU ; Jian-Ping HUANG ; Zhi-Yin YU ; Sheng-Xiong HUANG
China Journal of Chinese Materia Medica 2025;50(6):1534-1543
Astragalus membranaceus(A. membranaceus), a traditional tonic, contains flavonoids as one of its main bioactive components and key indicators for quality standard detection. These compounds predominantly exist in glycosylated forms after glycosylation modification within the plant. The catalytic products of flavonoid glycosyltransferases in A. membranaceus have been reported to be mostly monoglycosides, and only AmUGT28 catalyzes luteolin to form diglycosides. In this study, we cloned a glycosyltransferase gene, AmGT90, from A. membranaceus, with an ORF length of 1 335 bp, encoding 444 amino acids, and the protein had a relative molecular mass of 50.5 kDa. Phylogenetic tree analysis indicated that AmGT90 belongs to the UGT74 family. In vitro enzymatic reaction showed that AmGT90 had broad substrate specificity and could catalyze the glycosylation of various flavonoids, including isoflavones, flavones, flavanones, and chalcones. AmGT90 not only catalyzed the formation of monoglycosides but also diglycosides. In addition, the mechanism of AmGT90 catalyzing the formation of diglycosides from luteolin was preliminarily explored. The experimental results showed that AmGT90 may preferentially recognize C4'-OH of luteolin and then recognize C7-OH to form diglycosides. This study reported a glycosyltransferase from A. membranaceus capable of converting flavonoids into monoglycosides and diglycosides. This finding not only enhances our understanding of the biosynthetic pathways of flavonoid glycosides in A. membranaceus but also introduces a new component for glycoside production through synthetic biology.
Glycosyltransferases/chemistry*
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Flavonoids/chemistry*
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Astragalus propinquus/classification*
;
Phylogeny
;
Glycosylation
;
Plant Proteins/chemistry*
;
Substrate Specificity
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Cloning, Molecular
;
Amino Acid Sequence
2.Prokaryotic expression and immunogenicity analysis of latent infection antigen Rv2628c-Rv1737c fusion protein of Mycobacterium tuberculosis
Jian-Hui XIE ; Kun LI ; Wei-Guo SUN ; Xiong HE ; Yan ZHU ; Ling-Xia ZHANG
Chinese Journal of Zoonoses 2024;40(1):7-14
According to the codon characteristics of the prokaryotic system,we synthesized the optimized Rv2628c-Rv1737c nucleic acid sequence and constructed the expression plasmid pET24a-Rv2628c-Rv1737c.After sequencing,expression in E.coli was induced.The fusion protein was found in inclusion bodies.After renaturation and affinity chromatography purifi-cation,the Rv2628c-Rv1737c recombinant protein,with a molecular weight of 57 kDa and a purity exceeding 90%,was ob-tained.The recombinant protein was used to stimulate PBMC cells from different patients,and the differences in IFN-γ mRNA expression were analyzed with q-PCR.The Rv2628c-Rv1737c fusion protein stimulated patients with TB,particularly latent TB infection(LTBI).The level of IFN-γ mRNA in PBMC cells was higher than that in healthy controls(P<0.05).Mice immu-nized with BCG+Rv2628c-Rv1737c/DMT showed significant induction of high levels of IgG antibodies.Rv2628c-Rv1737c re-combinant protein,as a latent infection antigen,is recognized by PBMCs cells infected with TB,with strong immunogenicity,and thus may serve as a potential TB subunit vaccine target antigen.This protein may be used to prevent TB infection,particu-larly latent infection,and to perform laboratory diagnosis.
3.Spatial-temporal distribution characteristics and influencing factors of in-cidences of tuberculosis in Chinese mainland,2017-2022
Jie XIONG ; Hui-Guo ZHANG ; Xi-Jian HU ; Sen-Lu WANG
Chinese Journal of Infection Control 2024;23(7):812-818
Objective To analyze the spatial-temporal distribution characteristics and influencing factors of the in-cidence of tuberculosis(TB)in Chinese mainland,and provide scientific basis for relevant departments to formulate policies and guidelines.Methods TB incidence in Chinese mainland from 2017 to 2022 was as the research object,and data of relevant influencing factors were collected.The spatial autocorrelation analysis method was adopted to establish a spatial lag model to explore the spatial-temporal distribution characteristics of TB incidence,and the im-portant influencing factors of TB incidence were screened.Results From 2017 to 2022,TB incidence reported in 31 provinces and cities in Chinese mainland were 60.53/100 000,59.27/100 000,55.55/100 000,47.76/100 000,45.37/100 000 and 39.76/100 000,respectively,showing a yearly downward trend.Global Moran's Ⅰ analysis showed that TB incidence presented spatial-temporal aggregation.The spatial distribution map and the local indica-tors of spatial association(LISA)aggregation diagram analysis results for the incidence of reported TB showed a de-creasing trend from west to east in TB incidence.In the spatial lag model,the coefficients of 6 insignificant factors shrank to 0,and 6 important factors were screened out:gross domestic product(GDP)per capita(coefficient-0.259),urban unemployment rate(coefficient-0.198),annual sunshine duration(coefficient-0.332),annual mean rela-tive humidity(coefficient-0.433),annual mean NO2 concentration(coefficient-0.263),and annual mean PM10 concentration(coefficient-0.336).Conclusion From 2017 to 2022,TB incidences in Chinese mainland declined year by year,and presented spatial difference and spatial aggregation:high in the east,low in the west,and stable in the middle area.Social economy,climate and air pollution have strong effects on the incidence of TB.Relevant departments should pay more attention to the prevention and treatment of TB in the western region and take targeted preventive measures.
4.Independent risk factors related to unintended initial dissection of the poste-rior plane in small incision lenticule extraction performed by surgeons with different qualifications
Zeyu ZHU ; Qing WANG ; Jian XIONG ; Nanye WANG ; Jingjing XU ; Kang YU ; Zheliang GUO ; Yicheng XU ; Yifeng YU
Recent Advances in Ophthalmology 2024;44(7):540-543
Objective To investigate independent risk factors for unintended initial dissection of the posterior plane(UIDPP)during small incision lenticule extraction(SMILE)by surgeons with different qualifications.Methods A total of 1 600 patients(3 003 eyes)who underwent SMILE performed by three surgeons with different qualifications from April to September 2021 were selected as the research subjects,including 911 males and 689 females,with an average age of(21.82±3.55)years.The incidence of UIDPP in patients was recorded,along with a comprehensive summary of the age,gender,eyes,surgeons,surgical proficiency,subjective refraction,central corneal thickness,lenticule thickness,side cut angle,and peripheral lenticule thickness of the patients.Independent risk factors of UIDPP were analyzed using the binary logistic regression.Test level:α=0.05.Results In this study,the incidence of UIDPP was 6.56%(197/3 003),and the lenticule was successfully removed in all eyes.Multivariate logistic regression analysis demonstrated that surgeon(P=0.035),surgical proficiency(P=0.026),eyes(P=0.007),lenticule thickness(P<0.001),and peripheral lenticule thick-ness(P<0.001)were independent risk factors associated with the UIDPP during SMILE surgery.No significant differences were observed in other parameters(all P>0.05).Conclusion Surgeons,surgical proficiency,eyes,lenticule thick-ness,and peripheral lenticule thickness are independent risk factors of UIDPP.
5.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.
6.Evaluation on clinical efficacy of three-dimensional reconstruction guided uniportal fluorescence thoracoscopic subsegmentectomy for the pulmonary nodules
Bicheng ZHAN ; Jian LIU ; Jian CHEN ; Yongzhi LIU ; Kunliang GUO ; Xiao WANG ; Yanzheng XIONG ; Yong TANG ; Mingbo GU
Chinese Journal of Thoracic and Cardiovascular Surgery 2024;40(11):641-646
Objective:To analyze the clinical efficacy of three-dimensional(3D) reconstruction guided uniportal fluorescence thoracoscopic subsegmentectomy for the pulmonary nodules.Methods:We retrospectively analyzed 50 patients with nodules who underwent uniportal fluorescence thoracoscopic subsegmentectomy from December 2021 to February 2024. All patients underwent thin-slice CT scanning and 3D reconstruction preoperatively. 12 patients were given CT-guided hookwire localization preoperatively.The intersegmental plane was identified by fluorescence method.Results:One patient was converted to right upper lobectomy due to no lesion found in S1b. The mean blood loss was(23.4±16.5)ml and the mean operative time was(126.5±38.5)min. The mean duration of postoperative drainage was(2.6±0.8)days. Mean postoperative hospitalization was(4.8±1.8)days. There were 2 cases with postoperative pulmonary infections, including one with encapsulated pleural effusion. There was no air leakage over 3 days, and no death within 30 days after surgery.Conclusion:3D reconstruction guided uniportal fluorescence thoracoscopic subsegmentectomy is a safe and feasible technique for resection of pulmonary nodules in lung subsegments, and surgical indications must be strictly controlled.
7.Anticancer Activity of Diosgenin and Its Molecular Mechanism.
Qun-Li REN ; Qian WANG ; Xin-Qun ZHANG ; Miao WANG ; Huan HU ; Jun-Jie TANG ; Xiong-Tong YANG ; Ying-Hui RAN ; Huan-Huan LIU ; Zhi-Xing SONG ; Jian-Guo LIU ; Xiao-Lan LI
Chinese journal of integrative medicine 2023;29(8):738-749
Diosgenin, a steroidal sapogenin, obtained from Trigonella foenum-graecum, Dioscorea, and Rhizoma polgonati, has shown high potential and interest in the treatment of various cancers such as oral squamous cell carcinoma, laryngeal cancer, esophageal cancer, liver cancer, gastric cancer, lung cancer, cervical cancer, prostate cancer, glioma, and leukemia. This article aims to provide an overview of the in vivo, in vitro, and clinical studies reporting the diosgenin's anticancer effects. Preclinical studies have shown promising effects of diosgenin on inhibiting tumor cell proliferation and growth, promoting apoptosis, inducing differentiation and autophagy, inhibiting tumor cell metastasis and invasion, blocking cell cycle, regulating immunity and improving gut microbiome. Clinical investigations have revealed clinical dosage and safety property of diosgenin. Furthermore, in order to improve the biological activity and bioavailability of diosgenin, this review focuses on the development of diosgenin nano drug carriers, combined drugs and the diosgenin derivatives. However, further designed trials are needed to unravel the diosgenin's deficiencies in clinical application.
Male
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Humans
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Carcinoma, Squamous Cell/drug therapy*
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Diosgenin/metabolism*
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Mouth Neoplasms/drug therapy*
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Apoptosis
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Prostatic Neoplasms/drug therapy*
8.Platelet RNA signature independently predicts ovarian cancer prognosis by deep learning neural network model.
Chun-Jie LIU ; Hua-Yi LI ; Yue GAO ; Gui-Yan XIE ; Jian-Hua CHI ; Gui-Ling LI ; Shao-Qing ZENG ; Xiao-Ming XIONG ; Jia-Hao LIU ; Lin-Li SHI ; Xiong LI ; Xiao-Dong CHENG ; Kun SONG ; Ding MA ; An-Yuan GUO ; Qing-Lei GAO
Protein & Cell 2023;14(8):618-622
9.Platelet RNA enables accurate detection of ovarian cancer: an intercontinental, biomarker identification study.
Yue GAO ; Chun-Jie LIU ; Hua-Yi LI ; Xiao-Ming XIONG ; Gui-Ling LI ; Sjors G J G IN 'T VELD ; Guang-Yao CAI ; Gui-Yan XIE ; Shao-Qing ZENG ; Yuan WU ; Jian-Hua CHI ; Jia-Hao LIU ; Qiong ZHANG ; Xiao-Fei JIAO ; Lin-Li SHI ; Wan-Rong LU ; Wei-Guo LV ; Xing-Sheng YANG ; Jurgen M J PIEK ; Cornelis D DE KROON ; C A R LOK ; Anna SUPERNAT ; Sylwia ŁAPIŃSKA-SZUMCZYK ; Anna ŁOJKOWSKA ; Anna J ŻACZEK ; Jacek JASSEM ; Bakhos A TANNOUS ; Nik SOL ; Edward POST ; Myron G BEST ; Bei-Hua KONG ; Xing XIE ; Ding MA ; Thomas WURDINGER ; An-Yuan GUO ; Qing-Lei GAO
Protein & Cell 2023;14(6):579-590
Platelets are reprogrammed by cancer via a process called education, which favors cancer development. The transcriptional profile of tumor-educated platelets (TEPs) is skewed and therefore practicable for cancer detection. This intercontinental, hospital-based, diagnostic study included 761 treatment-naïve inpatients with histologically confirmed adnexal masses and 167 healthy controls from nine medical centers (China, n = 3; Netherlands, n = 5; Poland, n = 1) between September 2016 and May 2019. The main outcomes were the performance of TEPs and their combination with CA125 in two Chinese (VC1 and VC2) and the European (VC3) validation cohorts collectively and independently. Exploratory outcome was the value of TEPs in public pan-cancer platelet transcriptome datasets. The AUCs for TEPs in the combined validation cohort, VC1, VC2, and VC3 were 0.918 (95% CI 0.889-0.948), 0.923 (0.855-0.990), 0.918 (0.872-0.963), and 0.887 (0.813-0.960), respectively. Combination of TEPs and CA125 demonstrated an AUC of 0.922 (0.889-0.955) in the combined validation cohort; 0.955 (0.912-0.997) in VC1; 0.939 (0.901-0.977) in VC2; 0.917 (0.824-1.000) in VC3. For subgroup analysis, TEPs exhibited an AUC of 0.858, 0.859, and 0.920 to detect early-stage, borderline, non-epithelial diseases and 0.899 to discriminate ovarian cancer from endometriosis. TEPs had robustness, compatibility, and universality for preoperative diagnosis of ovarian cancer since it withstood validations in populations of different ethnicities, heterogeneous histological subtypes, and early-stage ovarian cancer. However, these observations warrant prospective validations in a larger population before clinical utilities.
Humans
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Female
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Blood Platelets/pathology*
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Biomarkers, Tumor/genetics*
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Ovarian Neoplasms/pathology*
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China
10.Triaging patients in the outbreak of COVID-2019
Guo-Qing HUANG ; Wei-Qian ZENG ; Wen-Bo WANG ; Yan-Min SONG ; Xiao-Ye MO ; Jia LI ; Ping WU ; Ruo-Long WANG ; Fang-Yi ZHOU ; Jing WU ; Bin YI ; Zeng XIONG ; Lu ZHOU ; Fan-Qi WANG ; Yang-Jing TIAN ; Wen-Bao HU ; Xia XU ; Kai YUAN ; Xiang-Min LI ; Xin-Jian QIU ; Jian QIU ; Ai-Min WANG
Chinese Journal of Infection Control 2023;22(3):295-303
In the outbreak of COVID-19,triage procedures based on epidemiology were implemented in a local hospital in Changsha to control the transmission of SARS-CoV-2 and avoid healthcare-associated infection.This re-trospective study analyzed the data collected during the triage period and found that COVID-19 patients were en-riched 7 folds into the Section A designated for patients with obvious epidemiological history.On the other side,nearly triple amounts of visits were received at the Section B for patients without obvious epidemiological history.8 COVID-19 cases were spotted out of 247 suspected patients.More than 50%of the suspected patients were submi-tted to multiple rounds of nucleic acid analysis for SARS-CoV-2 infection.Of the 239 patients who were diagnosed as negative of the virus infection,188 were successfully revisited and none was reported as COVID-19 case.Of the 8 COVID-19 patients,3 were confirmed only after multiple rounds of nucleic acid analysis.Besides comorbidities,delayed sharing of epidemiological history added complexity to the diagnosis in practice.The triaging experience and strategy will be helpful for the control of infectious diseases in the future.

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