1.Establishment of a prediction model for postoperative progression-free survival in patients with renal cell carcinoma
Huafeng LI ; Zhenlong WANG ; Hongyi ZHANG ; Zihe PENG ; Chenyue WANG ; Yao DONG ; Haibin ZHOU
Journal of Modern Urology 2024;29(10):892-897
[Objective] To analyze factors influencing the postoperative progression-free survival (PFS) in patients with renal cell carcinoma (RCC), construct a nomogram model for predicting PFS, and compare it with other predictive models. [Methods] A retrospective analysis was conducted on the general and clinical data of 263 RCC patients who underwent surgery at the Department of Urology, the Second Affiliated Hospital of Xi'an Jiaotong University, during Apr.2014 and Nov.2021.Patients were divided into the progression group (n=34) and non-progression group (n=229). The data of the two groups were analyzed to identify prognostic variables associated with PFS, and a nomogram model was constructed.The performance of this model was compared with that of the University of California, Los Angeles Integrated Staging System (UISS) score, tumor staging, tumor size, tumor pathological grade, and tumor necrosis scoring system (SSIGN score), and Leibovich score by plotting receiver operating characteristic (ROC) curve and calculating the area under the curve (AUC). Calibration curve of the nomogram was used to validate the model's performance, and K-fold cross-validation was employed to assess its external validity. [Results] Multivariate Cox regression analysis revealed that age (HR=2.255, 95%CI: 1.032-4.926), T stage (HR=5.766, 95%CI: 2.351-14.142), pathological grade (HR=3.100, 95%CI: 1.445-6.651), and pathological necrosis (HR=2.656, 95%CI: 1.253-5.629) were independent risk factors of PFS (P<0.05). The nomogram model based on these four independent variables had AUCs (95%CI) of 0.750 (0.630-0.870), 0.803 (0.705-0.902), and 0.847 (0.757-0.937) for 1, 3, and 5 years, respectively, which were higher than those of UISS score, SSIGN score, and Leibovich score.The calibration curve of the nomogram showed good consistency between predicted and actual probabilities.In K-fold cross-validation, the average AUCs of the nomogram at 1, 3, and 5 years were 0.761, 0.808, and 0.842, indicating good external validity of the nomogram. [Conclusion] The nomogram based on age, T stage, pathological grade and pathological necrosis can accurately predict the risk of postoperative PFS in RCC patients at 1, 3, and 5 years, which can aid clinicians in the early identification of high-risk progression.
4.Cryo-EM structures of a prokaryotic heme transporter CydDC.
Chen ZHU ; Yanfeng SHI ; Jing YU ; Wenhao ZHAO ; Lingqiao LI ; Jingxi LIANG ; Xiaolin YANG ; Bing ZHANG ; Yao ZHAO ; Yan GAO ; Xiaobo CHEN ; Xiuna YANG ; Lu ZHANG ; Luke W GUDDAT ; Lei LIU ; Haitao YANG ; Zihe RAO ; Jun LI
Protein & Cell 2023;14(12):919-923
5.Construction of a competing risk model for disease-free survival of patients with non-muscle invasive bladder cancer
Li WANG ; Zihe PENG ; Qidong LUO ; Shanlong HUANG ; Yun SUN ; Min ZHANG ; Luan JIA ; Le ZHAO ; Hongliang LI
Journal of Modern Urology 2023;28(6):487-492
【Objective】 To construct an easy-to-use individual survival prognostic tool based on competing risk analyses to predict the risk of 1-, 2- and 3- year recurrence for patients with non-muscle invasive bladder cancer (NMIBC). 【Methods】 The follow-up data of 419 NMIBC patients were obtained. The patients were randomly divided into training cohort (n=293) and validation cohort (n=126). The variables included age at diagnosis, sex, history of smoking, tumor number, tumor size, histolo-gic grade, pathological stage, and bladder perfusion drug. The cumulative incidence function (CIF) of recurrence was estimated using all variables in the training cohort and potential prognostic variables were determined with Gray’s test. The Fine-Gray subdistribution proportional hazard approach was used as a multivariate competitive risk analysis to identify independent pro-gnostic variables. A competing risk nomogram was developed to predict the recurrence. The performance of the competing risk model was evaluated with the area under the receiver operating characteristic curve (AUC), calibration curve, and Brier score. 【Results】 Five independent prognostic factors including age, number of tumors, tumor size, histologic grade and pathological stage were used to construct the competing risk model. In the validation cohort, the AUC of 1-, 2- and 3- year recurrence were 0.895 (95%CI: 0.831-0.959), 0.861(95%CI: 0.774-0.948) and 0.827(95%CI: 0.721-0.934), respectively, indicating that the model had a high predictive performance. 【Conclusion】 We successfully constructed a competing risk model to predict the risk of 1-, 2- and 3-year recurrence for NMIBC patients. It may help clinicians to improve the postoperative management of patients.
6.Cryo-EM structures for the Mycobacterium tuberculosis iron-loaded siderophore transporter IrtAB.
Shan SUN ; Yan GAO ; Xiaolin YANG ; Xiuna YANG ; Tianyu HU ; Jingxi LIANG ; Zhiqi XIONG ; Yuting RAN ; Pengxuan REN ; Fang BAI ; Luke W GUDDAT ; Haitao YANG ; Zihe RAO ; Bing ZHANG
Protein & Cell 2023;14(6):448-458
The adenosine 5'-triphosphate (ATP)-binding cassette (ABC) transporter, IrtAB, plays a vital role in the replication and viability of Mycobacterium tuberculosis (Mtb), where its function is to import iron-loaded siderophores. Unusually, it adopts the canonical type IV exporter fold. Herein, we report the structure of unliganded Mtb IrtAB and its structure in complex with ATP, ADP, or ATP analogue (AMP-PNP) at resolutions ranging from 2.8 to 3.5 Å. The structure of IrtAB bound ATP-Mg2+ shows a "head-to-tail" dimer of nucleotide-binding domains (NBDs), a closed amphipathic cavity within the transmembrane domains (TMDs), and a metal ion liganded to three histidine residues of IrtA in the cavity. Cryo-electron microscopy (Cryo-EM) structures and ATP hydrolysis assays show that the NBD of IrtA has a higher affinity for nucleotides and increased ATPase activity compared with IrtB. Moreover, the metal ion located in the TM region of IrtA is critical for the stabilization of the conformation of IrtAB during the transport cycle. This study provides a structural basis to explain the ATP-driven conformational changes that occur in IrtAB.
Siderophores/metabolism*
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Iron/metabolism*
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Mycobacterium tuberculosis/metabolism*
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Cryoelectron Microscopy
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Adenosine Triphosphate/metabolism*
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ATP-Binding Cassette Transporters
7.Systematic Review on Safety of Chinese Medicines Combined with Tripterygium wilfordii Preparations in Treatment of Rheumatoid Arthritis and Exploration on Underlying Network Regulatory Mechanisms of Enhancing Efficacy and Reducing Toxicity
Yi ZHANG ; Xiaoyue WANG ; Zihe DING ; Wenjia CHEN ; Yudong LIU ; Na LIN ; Yanqiong ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2023;29(5):1-8
ObjectiveTo systematically evaluate the safety of Chinese medicines combined with Tripterygium wilfordii polyglycoside tablets/Tripterygium wilfordii tablets (TWPT/TWT) in the treatment of rheumatoid arthritis (RA), and to explore the network regulatory mechanisms of enhancing efficacy and reducing toxicity of commonly used combination regimes. MethodThe literature involving the adverse reactions of TWPT/TWT in treating RA was searched and collected from three Chinese databases (CNKI, Wanfang Data, VIP) and three English databases (PubMed, Cochrane Library, Embase) from the inception of the databases to July 2021. All studies were assessed by the Cochrane risk of bias tool, and the data were extracted and analyzed by Stata 15.0. Furthermore, Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine 2.0 (TCMIP v2.0,
8.Material Basis and Pharmacological Action of Tongxie Yaofang: A Review
Qingyu ZHAO ; Miao ZHANG ; Wenjing ZHAO ; Yiming WANG ; Fangyu SUI ; Zihe GUAN ; Jianwei WANG
Chinese Journal of Experimental Traditional Medical Formulae 2023;29(8):237-245
Tongxie Yaofang, also known as Baizhu Shaoyaosan, was first recorded in Danxi's Experiential Therapy (《丹溪心法》) by ZHU Danxi in the Yuan dynasty. It is composed of Atractylodis Macrocephalae Rhizoma, Paeoniae Radix Alba, Citri Reticulatae Pericarpium, and Saposhnikoviae Radix, and serves as the representative prescription for the treatment of painful diarrhea. It has the functions of tonifying the spleen, emolliating the liver, relieving pain, and checking diarrhea, and is mainly used in the treatment of gastrointestinal diseases such as irritable bowel syndrome (IBS) and ulcerative colitis (UC). In addition, it is effective in treating gastrointestinal disorders with mental and psychological abnormalities, as well as obstinate anorexia in children, depression syndrome, and respiratory diseases. Experimental research and clinical practice have shown that Tongxie Yaofang has multi-component, multi-pathway, and multi-target characteristics in the treatment of diseases. The mechanism of Tongxie Yaofang in treating diseases is mainly attributed to anti-inflammation, immune function regulation, intestinal hypersensitivity improvement, emotion regulation, etc. Monoterpene glycosides, flavonoids, chromones, lactones, and other components contained play an important therapeutic role. The research on the systems biology of Tongxie Yaofang, such as metabolomics, proteomics, and network pharmacology, provides a scientific basis for clarifying its mechanism of action and expanding its clinical application. However, there are still some problems to be solved, such as difficulty in combining diseases and syndromes and lack of in-depth systematic research. Through the retrieval and collation of relevant literature, this paper systematically reviewed the material basis, pharmacological effects, and systems biology research of Tongxie Yaofang, aiming to lay a foundation for in-depth research on its mechanism in treating diseases and rational application in clinical practice.
9.High-throughput screening of SARS-CoV-2 main and papain-like protease inhibitors.
Yi ZANG ; Mingbo SU ; Qingxing WANG ; Xi CHENG ; Wenru ZHANG ; Yao ZHAO ; Tong CHEN ; Yingyan JIANG ; Qiang SHEN ; Juan DU ; Qiuxiang TAN ; Peipei WANG ; Lixin GAO ; Zhenming JIN ; Mengmeng ZHANG ; Cong LI ; Ya ZHU ; Bo FENG ; Bixi TANG ; Han XIE ; Ming-Wei WANG ; Mingyue ZHENG ; Xiaoyan PAN ; Haitao YANG ; Yechun XU ; Beili WU ; Leike ZHANG ; Zihe RAO ; Xiuna YANG ; Hualiang JIANG ; Gengfu XIAO ; Qiang ZHAO ; Jia LI
Protein & Cell 2023;14(1):17-27
The global COVID-19 coronavirus pandemic has infected over 109 million people, leading to over 2 million deaths up to date and still lacking of effective drugs for patient treatment. Here, we screened about 1.8 million small molecules against the main protease (Mpro) and papain like protease (PLpro), two major proteases in severe acute respiratory syndrome-coronavirus 2 genome, and identified 1851Mpro inhibitors and 205 PLpro inhibitors with low nmol/l activity of the best hits. Among these inhibitors, eight small molecules showed dual inhibition effects on both Mpro and PLpro, exhibiting potential as better candidates for COVID-19 treatment. The best inhibitors of each protease were tested in antiviral assay, with over 40% of Mpro inhibitors and over 20% of PLpro inhibitors showing high potency in viral inhibition with low cytotoxicity. The X-ray crystal structure of SARS-CoV-2 Mpro in complex with its potent inhibitor 4a was determined at 1.8 Å resolution. Together with docking assays, our results provide a comprehensive resource for future research on anti-SARS-CoV-2 drug development.
Humans
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Antiviral Agents/chemistry*
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COVID-19
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COVID-19 Drug Treatment
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High-Throughput Screening Assays
;
Molecular Docking Simulation
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Protease Inhibitors/chemistry*
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SARS-CoV-2/enzymology*
;
Viral Nonstructural Proteins
10.Crystal structure of SARS-CoV-2 main protease in complex with protease inhibitor PF-07321332.
Yao ZHAO ; Chao FANG ; Qi ZHANG ; Ruxue ZHANG ; Xiangbo ZHAO ; Yinkai DUAN ; Haofeng WANG ; Yan ZHU ; Lu FENG ; Jinyi ZHAO ; Maolin SHAO ; Xiuna YANG ; Leike ZHANG ; Chao PENG ; Kailin YANG ; Dawei MA ; Zihe RAO ; Haitao YANG
Protein & Cell 2022;13(9):689-693

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