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  1. Article: Ferroptosis-Mediated Formation of Tumor-Promoting Immune Microenvironment.

    Bi, Qing / Sun, Ze-Jia / Wu, Ji-Yue / Wang, Wei

    Frontiers in oncology

    2022  Volume 12, Page(s) 868639

    Abstract: Ferroptosis is a newly proposed programmed cell death that has great potential in limiting tumor progression and malignancies that are resistant to conventional therapies. However, recent reports have shown that ferroptosis in the tumor microenvironment ... ...

    Abstract Ferroptosis is a newly proposed programmed cell death that has great potential in limiting tumor progression and malignancies that are resistant to conventional therapies. However, recent reports have shown that ferroptosis in the tumor microenvironment can provide a favorable environment to promote tumor survival and progression, which is induced by the infiltration and polarization of pro-tumor immune cells and the dysfunction of anti-tumor immunity. In this mini-review, we introduce the mechanisms of ferroptosis, describe the crosstalk between ferroptosis and cancer, demonstrate the potential ways in which ferroptosis shapes the pro-tumor immune microenvironment, and present our thoughts on ferroptosis-based cancer therapies.
    Language English
    Publishing date 2022-03-17
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2022.868639
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Tumor-Associated Inflammation: The Tumor-Promoting Immunity in the Early Stages of Tumorigenesis.

    Bi, Qing / Wu, Ji-Yue / Qiu, Xue-Meng / Zhang, Jian-Dong / Sun, Ze-Jia / Wang, Wei

    Journal of immunology research

    2022  Volume 2022, Page(s) 3128933

    Abstract: Tumorigenesis is a multistage progressive oncogenic process caused by alterations in the structure and expression level of multiple genes. Normal cells are continuously endowed with new capabilities in this evolution, leading to subsequent tumor ... ...

    Abstract Tumorigenesis is a multistage progressive oncogenic process caused by alterations in the structure and expression level of multiple genes. Normal cells are continuously endowed with new capabilities in this evolution, leading to subsequent tumor formation. Immune cells are the most important components of inflammation, which is closely associated with tumorigenesis. There is a broad consensus in cancer research that inflammation and immune response facilitate tumor progression, infiltration, and metastasis
    MeSH term(s) Carcinogenesis/metabolism ; Cell Transformation, Neoplastic ; Humans ; Inflammasomes ; Inflammation/pathology ; Neoplasms
    Chemical Substances Inflammasomes
    Language English
    Publishing date 2022-06-13
    Publishing country Egypt
    Document type Journal Article ; Review
    ZDB-ID 2817541-4
    ISSN 2314-7156 ; 2314-7156
    ISSN (online) 2314-7156
    ISSN 2314-7156
    DOI 10.1155/2022/3128933
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Identification of potential necroinflammation-associated necroptosis-related biomarkers for delayed graft function and renal allograft failure: a machine learning-based exploration in the framework of predictive, preventive, and personalized medicine.

    Bi, Qing / Wu, Ji-Yue / Qiu, Xue-Meng / Li, Yu-Qing / Yan, Yu-Yao / Sun, Ze-Jia / Wang, Wei

    The EPMA journal

    2023  Volume 14, Issue 2, Page(s) 307–328

    Abstract: Delayed graft function (DGF) is one of the key post-operative challenges for a subset of kidney transplantation (KTx) patients. Graft survival is significantly lower in recipients who have experienced DGF than in those who have not. Assessing the risk of ...

    Abstract Delayed graft function (DGF) is one of the key post-operative challenges for a subset of kidney transplantation (KTx) patients. Graft survival is significantly lower in recipients who have experienced DGF than in those who have not. Assessing the risk of chronic graft injury, predicting graft rejection, providing personalized treatment, and improving graft survival are major strategies for predictive, preventive, and personalized medicine (PPPM/3PM) to promote the development of transplant medicine. However, since PPPM aims to accurately identify disease by integrating multiple omics, current methods to predict DGF and graft survival can still be improved. Renal ischemia/reperfusion injury (IRI) is a pathological process experienced by all KTx recipients that can result in varying occurrences of DGF, chronic rejection, and allograft failure depending on its severity. During this process, a necroinflammation-mediated necroptosis-dependent secondary wave of cell death significantly contributes to post-IRI tubular cell loss. In this article, we obtained the expression matrices and corresponding clinical data from the GEO database. Subsequently, nine differentially expressed necroinflammation-associated necroptosis-related genes (NiNRGs) were identified by correlation and differential expression analysis. The subtyping of post-KTx IRI samples relied on consensus clustering; the grouping of prognostic risks and the construction of predictive models for DGF (the area under the receiver operating characteristic curve (AUC) of the internal validation set and the external validation set were 0.730 and 0.773, respectively) and expected graft survival after a biopsy (the internal validation set's 1-year AUC: 0.770; 2-year AUC: 0.702; and 3-year AUC: 0.735) were based on the least absolute shrinkage and selection operator regression algorithms. The results of the immune infiltration analysis showed a higher infiltration abundance of myeloid immune cells, especially neutrophils, macrophages, and dendritic cells, in the cluster A subtype and prognostic high-risk groups. Therefore, in the framework of PPPM, this work provides a comprehensive exploration of the early expression landscape, related pathways, immune features, and prognostic impact of NiNRGs in post-KTx patients and assesses their capabilities as.predictors of post-KTx DGF and graft loss,targets of the vicious loop between regulated tubular cell necrosis and necroinflammation for targeted secondary and tertiary prevention, andreferences for personalized immunotherapy.
    Supplementary information: The online version contains supplementary material available at 10.1007/s13167-023-00320-w.
    Language English
    Publishing date 2023-04-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2545928-4
    ISSN 1878-5085 ; 1878-5077
    ISSN (online) 1878-5085
    ISSN 1878-5077
    DOI 10.1007/s13167-023-00320-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: 

    Zhong, Qian-Qian / Wang, Ze-Huan / Xu, Jia-Ju / Sun, Qin-Wen

    PhytoKeys

    2023  Volume 236, Page(s) 29–37

    Abstract: ... ...

    Abstract Melanoseriskangdingensis
    Language English
    Publishing date 2023-11-24
    Publishing country Bulgaria
    Document type Journal Article
    ZDB-ID 2579891-1
    ISSN 1314-2003 ; 1314-2011
    ISSN (online) 1314-2003
    ISSN 1314-2011
    DOI 10.3897/phytokeys.236.113401
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Epstein-Barr virus-positive post-transplant lymphoproliferative disordepresenting as hematochezia and enterobrosis in renal transplant recipients in China: A report of two cases.

    Sun, Ze-Jia / Hu, Xiao-Peng / Fan, Bo-Han / Wang, Wei

    World journal of clinical cases

    2019  Volume 7, Issue 24, Page(s) 4334–4341

    Abstract: Background: Post-transplant lymphoproliferative disorder (PTLD) is a rare severe complication after renal transplantation, with an incidence of approximately 0.3%-2.0% in patients undergoing renal transplantation. The clinical manifestations of PTLD are ...

    Abstract Background: Post-transplant lymphoproliferative disorder (PTLD) is a rare severe complication after renal transplantation, with an incidence of approximately 0.3%-2.0% in patients undergoing renal transplantation. The clinical manifestations of PTLD are often nonspecific, leading to tremendous challenges in the clinical diagnosis and treatment of PTLD.
    Case summary: We report two Epstein-Barr virus (EBV)-positive PTLD cases whose main clinical manifestations were digestive tract symptoms. Both of them admitted to our hospital because of extranodal infiltration symptoms and we did not suspect of PTLD until the pathology confirmation. Luckily, they responded well to the treatment of rituximab. We also discuss the virological monitoring, clinical characteristics, diagnosis, and treatment of PTLD.
    Conclusion: PTLD is a deceptive disease and difficult to diagnose. Once patients are confirmed with PTLD, immune suppressant dosage should be immediately reduced and rituximab should be used as first-line therapy.
    Language English
    Publishing date 2019-12-10
    Publishing country United States
    Document type Case Reports
    ISSN 2307-8960
    ISSN 2307-8960
    DOI 10.12998/wjcc.v7.i24.4334
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Biomarkers identification in follicular fluid of women with OHSS by using UPLC-MS method.

    Wu, Ze / Fang, Lanlan / Liu, Boqun / Jia, Qiongqiong / Cheng, Jung-Chien / Sun, Ying-Pu

    Frontiers in endocrinology

    2023  Volume 14, Page(s) 1131771

    Abstract: To figure out the differentially changed metabolites and disturbed pathways in follicular fluid (FF) of patients with OHSS in comparison to the control group ... ...

    Abstract To figure out the differentially changed metabolites and disturbed pathways in follicular fluid (FF) of patients with OHSS in comparison to the control group undergoing
    MeSH term(s) Humans ; Female ; Follicular Fluid/metabolism ; Ovarian Hyperstimulation Syndrome ; Chromatography, High Pressure Liquid ; Chromatography, Liquid ; Tandem Mass Spectrometry ; Biomarkers/metabolism
    Chemical Substances 4-hydroxyphenylacetaldehyde (7339-87-9) ; Biomarkers
    Language English
    Publishing date 2023-03-08
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2592084-4
    ISSN 1664-2392
    ISSN 1664-2392
    DOI 10.3389/fendo.2023.1131771
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: A promising Prognostic risk model for advanced renal cell carcinoma (RCC) with immune-related genes.

    Cao, Peng / Wu, Ji-Yue / Zhang, Jian-Dong / Sun, Ze-Jia / Zheng, Xiang / Yu, Bao-Zhong / Cao, Hao-Yuan / Zhang, Fei-Long / Gao, Zi-Hao / Wang, Wei

    BMC cancer

    2022  Volume 22, Issue 1, Page(s) 691

    Abstract: Background: Renal cell carcinoma (RCC) is a third most common tumor of the urinary system. Nowadays, Immunotherapy is a hot topic in the treatment of solid tumors, especially for those tumors with pre-activated immune state.: Methods: In this study, ... ...

    Abstract Background: Renal cell carcinoma (RCC) is a third most common tumor of the urinary system. Nowadays, Immunotherapy is a hot topic in the treatment of solid tumors, especially for those tumors with pre-activated immune state.
    Methods: In this study, we downloaded genomic and clinical data of RCC samples from The Cancer Genome Atlas (TCGA) database. Four immune-related genetic signatures were used to predict the prognosis of RCC by Cox regression analysis. Then we established a prognostic risk model consisting of the genes most related to prognosis from four signatures to value prognosis of the RCC samples via Kaplan-Meier (KM) survival analysis. An independent data from International Cancer Genome Consortium (ICGC) database were used to test the predictive stability of the model. Furthermore, we performed landscape analysis to assess the difference of gene mutant in the RCC samples from TCGA. Finally, we explored the correlation between the selected genes and the level of tumor immune infiltration via Tumor Immune Estimation Resource (TIMER) platform.
    Results: We used four genetic signatures to construct prognostic risk models respectively and found that each of the models could divide the RCC samples into high- and low-risk groups with significantly different prognosis, especially in advanced RCC. A comprehensive prognostic risk model was constructed by 8 candidate genes from four signatures (HLA-B, HLA-A, HLA-DRA, IDO1, TAGAP, CIITA, PRF1 and CD8B) dividing the advanced RCC samples from TCGA database into high-risk and low-risk groups with a significant difference in cancer-specific survival (CSS). The stability of the model was verified by independent data from ICGC database. And the classification efficiency of the model was stable for the samples from different subgroups. Landscape analysis showed that mutation ratios of some genes were different between two risk groups. In addition, the expression levels of the selected genes were significantly correlated with the infiltration degree of immune cells in the advanced RCC.
    Conclusions: Sum up, eight immune-related genes were screened in our study to construct prognostic risk model with great predictive value for the prognosis of advanced RCC, and the genes were associated with infiltrating immune cells in tumors which have potential to conduct personalized treatment for advanced RCC.
    MeSH term(s) Biomarkers, Tumor/genetics ; Carcinoma, Renal Cell/pathology ; Gene Expression Regulation, Neoplastic ; Humans ; Kaplan-Meier Estimate ; Kidney Neoplasms/pathology ; Prognosis ; Risk Factors
    Chemical Substances Biomarkers, Tumor
    Language English
    Publishing date 2022-06-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 2041352-X
    ISSN 1471-2407 ; 1471-2407
    ISSN (online) 1471-2407
    ISSN 1471-2407
    DOI 10.1186/s12885-022-09755-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Revisiting the Dynamic Response of Chinese Price Level to Crude Oil Price Shocks Based on a Network Analysis Method.

    Sun, Qingru / Wang, Ze / Jia, Nanfei

    Entropy (Basel, Switzerland)

    2022  Volume 24, Issue 7

    Abstract: Crude oil price shocks have led to a fluctuation in commodity prices through the industrial chain and supply-demand relationships, which can substantially influence a country's economy. In this paper, we propose a transmission model of oil price shocks ... ...

    Abstract Crude oil price shocks have led to a fluctuation in commodity prices through the industrial chain and supply-demand relationships, which can substantially influence a country's economy. In this paper, we propose a transmission model of oil price shocks to Chinese price levels and explore the direct and indirect impacts of crude oil price shocks on various Chinese price indices, combining the Granger causality test, impulse response function, and network analysis method. The empirical data are the Brent, WTI, Dubai, and Daqing spot crude oil prices and eight categories of Chinese price indices from January 2011 to March 2020. We found the following results: (1) Consumer price index (CPI) and the price index for means of agricultural production (MAPPI) cannot be directly impacted by crude oil price fluctuations, while they could be indirectly affected. (2) The duration and degree of the impacts of oil prices on each price index vary, and the export price index (EPI) is the most significantly affected. (3) The proportion of the indirect impact in the total impact of crude oil price shocks ranges from 0.03% to 100.00%. Thus, indirect influence cannot be ignored when analyzing the influence of crude oil price fluctuation on Chinese price level.
    Language English
    Publishing date 2022-07-07
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e24070944
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Evaluating the Demand for Nucleic Acid Testing in Different Scenarios of COVID-19 Transmission: A Simulation Study.

    Wang, Yu-Yuan / Zhang, Wei-Wen / Lu, Ze-Xi / Sun, Jia-Lin / Jing, Ming-Xia

    Infectious diseases and therapy

    2024  Volume 13, Issue 4, Page(s) 813–826

    Abstract: Introduction: The 2019 novel coronavirus (COVID-19) has been recognized as the most severe human infectious disease pandemic in the past century. To enhance our ability to control potential infectious diseases in the future, this study simulated the ... ...

    Abstract Introduction: The 2019 novel coronavirus (COVID-19) has been recognized as the most severe human infectious disease pandemic in the past century. To enhance our ability to control potential infectious diseases in the future, this study simulated the influence of nucleic acid testing on the transmission of COVID-19 across varied scenarios. Additionally, it assessed the demand for nucleic acid testing under different circumstances, aiming to furnish a decision-making foundation for the implementation of nucleic acid screening measures, the provision of emergency materials, and the allocation of human resources.
    Methods: Considering the transmission dynamics of COVID-19 and the preventive measures implemented by countries, we explored three distinct levels of epidemic intensity: community transmission, outbreak, and sporadic cases. Integrating the theory of scenario analysis, we formulated six hypothetical epidemic scenarios, each corresponding to possible occurrences during different phases of the pandemic. We developed an improved SEIR model, validated its accuracy using real-world data, and conducted a comprehensive analysis and prediction of COVID-19 infections under these six scenarios. Simultaneously, we assessed the testing resource requirements associated with each scenario.
    Results: We compared the predicted number of infections simulated by the modified SEIR model with the actual reported cases in Israel to validate the model. The root mean square error (RMSE) was 350.09, and the R-squared (R
    Conclusions: The nucleic acid detection strategy proves effective in promptly identifying and isolating infected individuals, thereby mitigating the infection peak and extending the time to peak. In situations with constrained testing capacity, implementing more stringent measures can notably decrease the number of infections and alleviate resource demands. The improved SEIR model demonstrates proficiency in predicting both reported and unreported cases, offering valuable insights for future infection risk assessments. Rapid evaluations of testing requirements across diverse scenarios can aptly address resource limitations in specific regions, offering substantial evidence for the formulation of future infectious disease testing strategies.
    Language English
    Publishing date 2024-03-18
    Publishing country New Zealand
    Document type Journal Article
    ZDB-ID 2701611-0
    ISSN 2193-6382 ; 2193-8229
    ISSN (online) 2193-6382
    ISSN 2193-8229
    DOI 10.1007/s40121-024-00954-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Optimal resource allocation model for COVID-19: a systematic review and meta-analysis.

    Wang, Yu-Yuan / Zhang, Wei-Wen / Lu, Ze-Xi / Sun, Jia-Lin / Jing, Ming-Xia

    BMC infectious diseases

    2024  Volume 24, Issue 1, Page(s) 200

    Abstract: Background: A lack of health resources is a common problem after the outbreak of infectious diseases, and resource optimization is an important means to solve the lack of prevention and control capacity caused by resource constraints. This study ... ...

    Abstract Background: A lack of health resources is a common problem after the outbreak of infectious diseases, and resource optimization is an important means to solve the lack of prevention and control capacity caused by resource constraints. This study systematically evaluated the similarities and differences in the application of coronavirus disease (COVID-19) resource allocation models and analyzed the effects of different optimal resource allocations on epidemic control.
    Methods: A systematic literature search was conducted of CNKI, WanFang, VIP, CBD, PubMed, Web of Science, Scopus and Embase for articles published from January 1, 2019, through November 23, 2023. Two reviewers independently evaluated the quality of the included studies, extracted and cross-checked the data. Moreover, publication bias and sensitivity analysis were evaluated.
    Results: A total of 22 articles were included for systematic review; in the application of optimal allocation models, 59.09% of the studies used propagation dynamics models to simulate the allocation of various resources, and some scholars also used mathematical optimization functions (36.36%) and machine learning algorithms (31.82%) to solve the problem of resource allocation; the results of the systematic review show that differential equation modeling was more considered when testing resources optimization, the optimization function or machine learning algorithm were mostly used to optimize the bed resources; the meta-analysis results showed that the epidemic trend was obviously effectively controlled through the optimal allocation of resources, and the average control efficiency was 0.38(95%CI 0.25-0.51); Subgroup analysis revealed that the average control efficiency from high to low was health specialists 0.48(95%CI 0.37-0.59), vaccines 0.47(95%CI 0.11-0.82), testing 0.38(95%CI 0.19-0.57), personal protective equipment (PPE) 0.38(95%CI 0.06-0.70), beds 0.34(95%CI 0.14-0.53), medicines and equipment for treatment 0.32(95%CI 0.12-0.51); Funnel plots and Egger's test showed no publication bias, and sensitivity analysis suggested robust results.
    Conclusion: When the data are insufficient and the simulation time is short, the researchers mostly use the constructor for research; When the data are relatively sufficient and the simulation time is long, researchers choose differential equations or machine learning algorithms for research. In addition, our study showed that control efficiency is an important indicator to evaluate the effectiveness of epidemic prevention and control. Through the optimization of medical staff and vaccine allocation, greater prevention and control effects can be achieved.
    MeSH term(s) Humans ; COVID-19/epidemiology ; Personal Protective Equipment ; SARS-CoV-2 ; Epidemics ; Disease Outbreaks
    Language English
    Publishing date 2024-02-14
    Publishing country England
    Document type Meta-Analysis ; Systematic Review ; Journal Article
    ZDB-ID 2041550-3
    ISSN 1471-2334 ; 1471-2334
    ISSN (online) 1471-2334
    ISSN 1471-2334
    DOI 10.1186/s12879-024-09007-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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