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  1. Article ; Online: Re: Michael Eppler, Conner Ganjavi, Lorenzo Storino Ramacciotti, et al. Awareness and Use of ChatGPT and Large Language Models: A Prospective Cross-sectional Global Survey in Urology. Eur Urol. 2024;85:146-53.

    Zhao, Zhongwei / Li, Zhenye / Yu, Nengwang

    European urology

    2023  Volume 85, Issue 3, Page(s) e83–e84

    MeSH term(s) Humans ; Urology ; Cross-Sectional Studies ; Prospective Studies ; Kidney Neoplasms/surgery ; Nephrectomy
    Language English
    Publishing date 2023-12-23
    Publishing country Switzerland
    Document type Letter
    ZDB-ID 193790-x
    ISSN 1873-7560 ; 1421-993X ; 0302-2838
    ISSN (online) 1873-7560 ; 1421-993X
    ISSN 0302-2838
    DOI 10.1016/j.eururo.2023.12.006
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  2. Article: Response and recovery mechanisms of river microorganisms to gradient concentrations of estrogen.

    Qin, Dan / Li, Yan / Chen, Nengwang / Hu, Anyi / Yu, Chang-Ping

    Frontiers in microbiology

    2023  Volume 14, Page(s) 1109311

    Abstract: As an important ecological system on the earth, rivers have been influenced by the rapid development of urbanization, industrialization, and anthropogenic activities. Increasingly more emerging contaminants, such as estrogens, are discharged into the ... ...

    Abstract As an important ecological system on the earth, rivers have been influenced by the rapid development of urbanization, industrialization, and anthropogenic activities. Increasingly more emerging contaminants, such as estrogens, are discharged into the river environment. In this study, we conducted river water microcosmic experiments using
    Language English
    Publishing date 2023-02-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587354-4
    ISSN 1664-302X
    ISSN 1664-302X
    DOI 10.3389/fmicb.2023.1109311
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Prioritizing ecological restoration in hydrologically sensitive areas to improve groundwater quality.

    Wang, Yao / Yu, Yiqi / Luo, Xin / Tan, Qiaoguo / Fu, Yuqi / Zheng, Chenhe / Wang, Deli / Chen, Nengwang

    Water research

    2024  Volume 252, Page(s) 121247

    Abstract: Greening is the optimal way to mitigate climate change and water quality degradation caused by agricultural expansion and rapid urbanization. However, the ideal sites to plant trees or grass to achieve a win-win solution between the environment and the ... ...

    Abstract Greening is the optimal way to mitigate climate change and water quality degradation caused by agricultural expansion and rapid urbanization. However, the ideal sites to plant trees or grass to achieve a win-win solution between the environment and the economy remain unknown. Here, we performed a nationwide survey on groundwater nutrients (nitrate nitrogen, ammonia nitrogen, dissolved reactive phosphorus) and heavy metals (vanadium, chromium, manganese, iron, cobalt, nickel, copper, arsenic, strontium, molybdenum, cadmium, and lead) in China, and combined it with the global/national soil property database and machine learning (random forest) methods to explore the linkages between land use within hydrologically sensitive areas (HSAs) and groundwater quality from the perspective of hydrological connectivity. We found that HSAs occupy approximately 20 % of the total land area and are hotspots for transferring nutrients and heavy metals from the land surface to the saturated zone. In particular, the proportion of natural lands within HSAs significantly contributes 8.0 % of the variability in groundwater nutrients and heavy metals in China (p < 0.01), which is equivalent to their contribution (8.8 %) at the regional scale (radius = 4 km, area = 50 km
    MeSH term(s) Manganese ; Molybdenum ; Arsenic ; Nitrates/analysis ; Metals, Heavy/analysis ; Groundwater ; Strontium ; Organic Chemicals ; Nitrogen/analysis ; Environmental Monitoring/methods
    Chemical Substances Manganese (42Z2K6ZL8P) ; Molybdenum (81AH48963U) ; Arsenic (N712M78A8G) ; Nitrates ; Metals, Heavy ; Strontium (YZS2RPE8LE) ; Organic Chemicals ; Nitrogen (N762921K75)
    Language English
    Publishing date 2024-02-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 202613-2
    ISSN 1879-2448 ; 0043-1354
    ISSN (online) 1879-2448
    ISSN 0043-1354
    DOI 10.1016/j.watres.2024.121247
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  4. Article ; Online: Carbon dynamics and greenhouse gas outgassing in an estuarine mangrove wetland with high input of riverine nitrogen

    Lu, Zeyang / Wang, Fenfang / Xiao, Kai / Wang, Yao / Yu, Qibiao / Cheng, Peng / Chen, Nengwang

    Biogeochemistry. 2023 Jan., v. 162, no. 2 p.221-235

    2023  

    Abstract: The large amounts of organic carbon buried in mangrove wetlands are well recognized, but the lateral dissolved carbon export and greenhouse gas (GHGs) outgassing are often overlooked. In this study, we carried out seasonal observations of dissolved ... ...

    Abstract The large amounts of organic carbon buried in mangrove wetlands are well recognized, but the lateral dissolved carbon export and greenhouse gas (GHGs) outgassing are often overlooked. In this study, we carried out seasonal observations of dissolved carbon and GHGs in an estuarine mangrove wetland with high input of riverine nitrogen in southeast China in 2019–2020. The results showed that the tidal range and season were the two main factors controlling the lateral dissolved carbon export including total alkalinity (TA), dissolved inorganic carbon (DIC) and dissolved organic carbon (DOC). The positive correlations between the average offsets of DIC, TA, DOC and tidal range confirmed the hydrological controls on the exchange of dissolved carbon between the mangrove creek and the estuary. The seasonal variability in temperature, groundwater export and freshwater input resulted in a larger carbon offset during low tidal range in spring and a smaller offset during high tidal range in fall. The mangrove creek acted as a net source of DIC, DOC, TA and GHGs. When the emissions of GHGs were calculated as CO₂-equivalents, the average emission of CO₂ was four times higher than that of N₂O and the average emission of N₂O was six times higher than that of CH₄. In contrast with pristine mangroves, denitrification in mangrove wetlands with high input of riverine nitrogen played a crucial role in mineralization processes, leading to the production of DIC, TA and N₂O. These biogeochemical processes may not be conducive to the blue carbon sequestration in mangrove soils. These findings suggested that there are mutual benefits between the reduced loss of blue carbon and the mitigation of eutrophication when restoring mangrove wetlands and reducing nitrogen pollution.
    Keywords alkalinity ; blue carbon ; carbon dioxide ; carbon markets ; carbon sequestration ; denitrification ; estuaries ; eutrophication ; exports ; freshwater ; greenhouse gases ; groundwater ; inorganic carbon ; mineralization ; nitrogen ; organic carbon ; pollution ; riparian areas ; seasonal variation ; spring ; streams ; temperature ; wetlands ; China
    Language English
    Dates of publication 2023-01
    Size p. 221-235.
    Publishing place Springer International Publishing
    Document type Article ; Online
    ZDB-ID 1478541-9
    ISSN 1573-515X ; 0168-2563
    ISSN (online) 1573-515X
    ISSN 0168-2563
    DOI 10.1007/s10533-022-00999-5
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  5. Article: A nomogram based on the preoperative neutrophil-to-lymphocyte ratio to distinguish sarcomatoid renal cell carcinoma from clear cell renal cell carcinoma.

    Wu, Yijian / Qi, Tienan / Qin, Xin / Zhao, Zhongwei / Zheng, Jianguo / Du, Qinglong / Yu, Nengwang

    Frontiers in oncology

    2023  Volume 13, Page(s) 1218280

    Abstract: Objective: Our study aimed to assess the predictive value of the preoperative neutrophil-to-lymphocyte ratio(NLR) in distinguishing sarcomatoid renal cell carcinoma (SRCC) from clear cell renal cell carcinoma(CCRCC) and to developing a nomogram based on ...

    Abstract Objective: Our study aimed to assess the predictive value of the preoperative neutrophil-to-lymphocyte ratio(NLR) in distinguishing sarcomatoid renal cell carcinoma (SRCC) from clear cell renal cell carcinoma(CCRCC) and to developing a nomogram based on the preoperative NLR and other factors to distinguish SRCC from CCRCC.
    Materials and methods: The database involved 280 patients, including 46 SRCC and 234 CCRCC. logistic analysis was conducted to select the variables associated with identifying SRCC preoperatively, and subgroup analysis was used to further validate the ability of NLR with preoperative identification of SRCC.In addition, The data were randomly separated into a training cohort(n=195) and a validation cohort(n=85). And an NLR-based nomogram was plotted based on the logistic analysis results. The nomogram was evaluated according to its discrimination, consistency, and clinical benefits.
    Results: Multivariate analysis indicated that NLR, flank pain, tumor size, and total cholesterol(TC) were independent risk factors for identifying SRCC. The results of subgroup analysis showed that higher NLR was associated with a higher probability of SRCC in most subgroups. The area under the curve(AUC) of the training and validation cohorts were 0.801 and 0.738, respectively. The results of the calibration curve show high consistency between predicted and actual results. Decision Curve Analysis(DCA) showed clinical intervention based on the model was beneficial over most of the threshold risk range.
    Conclusion: NLR is a potential indicator for preoperative differentiation of SRCC and CCRCC, and the predictive model constructed based on NLR has a good predictive ability. The new model could provide suggestions for the early identification of SRCC.
    Language English
    Publishing date 2023-09-22
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2023.1218280
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Simultaneous observations revealed the non-steady state effects of a tropical storm on the export of particles and inorganic nitrogen through a river-estuary continuum

    Lin, Jingjie / Krom, Michael D. / Wang, Fenfang / Cheng, Peng / Yu, Qibiao / Chen, Nengwang

    Journal of hydrology. 2022 Mar., v. 606

    2022  

    Abstract: An important consequence of storms in river-estuary systems is major changes in hydrology and nutrients being fluxed from the land to the coastal ocean. However, the impacts of storms on the nature and amount of dissolved inorganic nitrogen (DIN) in the ... ...

    Abstract An important consequence of storms in river-estuary systems is major changes in hydrology and nutrients being fluxed from the land to the coastal ocean. However, the impacts of storms on the nature and amount of dissolved inorganic nitrogen (DIN) in the river-estuary continuum are poorly understood. In this study, two week’s continuous observations on two lower riverine fixed stations and an estuarine fixed station in the Jiulong River (SE China) were carried out during a complete storm event in June 10ᵗʰ to 23ʳᵈ 2019. Suspended particulate matter (SPM), nitrogen species and their isotopic ratios, nitrifying and denitrifying functional genes were measured. The increased river discharge caused the freshwater-brackish water boundary to move downstream and altered the pattern of particle distribution and the location of the estuarine turbidity maximum. The increased river SPM and inorganic nitrogen was associated with watershed soil erosion, sediment scour and land use. Both in the river and estuary, the peak concentration of ammonium arrived faster than nitrate. Apart from river inputs, there was an additional increase of 40 ± 8% of DIN supplied within the tidal river and estuary. The additional DIN mostly came from resuspended sediments and catchment runoff, while increased nitrate also came from soil and ground waters, increased nitrification and decreased denitrification in the estuary. These results suggest that during baseflow conditions the wetlands in the upper estuary acts as a temporary nutrient trap and biogeochemical incubator, while in storms the transformed pollutant N was fluxed from the river-estuary continuum to the adjacent coastal areas.
    Keywords ammonium ; base flow ; denitrification ; dissolved inorganic nitrogen ; estuaries ; exports ; land use ; nitrates ; nitrification ; nitrogen ; particulates ; pollutants ; riparian areas ; river flow ; rivers ; runoff ; sediments ; soil ; soil erosion ; storms ; turbidity ; watersheds ; China
    Language English
    Dates of publication 2022-03
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 1473173-3
    ISSN 1879-2707 ; 0022-1694
    ISSN (online) 1879-2707
    ISSN 0022-1694
    DOI 10.1016/j.jhydrol.2022.127438
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  7. Article ; Online: Mathematical modelling of the role of Endo180 network in the development of metastatic bone disease in prostate cancer.

    Ji, Bing / Chen, Jie / Zhen, Changqing / Yang, Qing / Yu, Nengwang

    Computers in biology and medicine

    2020  Volume 117, Page(s) 103619

    Abstract: Metastatic bone disease (MBD) is a common complication of advanced cancer and recent research suggests that Endo180 expression is dysregulated through the TGFβ-TGFβR-SMAD2/3 signalling pathway during the invasion of tumour cells in the development of MBD. ...

    Abstract Metastatic bone disease (MBD) is a common complication of advanced cancer and recent research suggests that Endo180 expression is dysregulated through the TGFβ-TGFβR-SMAD2/3 signalling pathway during the invasion of tumour cells in the development of MBD. We here provide a model for the dysregulation of the Endo180 network to demonstrate its vital contribution to bone destruction as well as tumour cell growth. The model consisted of a set of ordinary differential equations and reconstructed variations in the bone cells, resultant bone volume, and biochemical factors involved in the TGFβ-TGFβR-SMAD2/3 signalling pathway over time. The model also investigated the underlying mechanism in which the change of TGFβ affects the TGFβ-TGFβR-SMAD2/3 signalling pathway and the resultant Endo180 expression in osteoblastic and tumour cells. The model links the appearance of tumour cells with the inhibition of TGFβ binding to its receptors on osteoblastic cells, to affect TGFβ-TGFβR-SMAD2/3 signalling and Endo180 expression. Temporal variation in bone cells, bone volume, and the biochemical factors involved in the TGFβ-TGFβR-SMAD2/3 pathway as demonstrated in the model simulations agree with published experimental data. The model can be refined based on further discoveries but allows the influence of Endo180 network dysregulation on bone remodelling in MBD to be established. This model could aid in the development of Endo180 targeted therapies for MBD in the future.
    MeSH term(s) Bone Diseases ; Humans ; Male ; Prostatic Neoplasms ; Receptors, Mitogen ; Transforming Growth Factor beta
    Chemical Substances Endo180 ; Receptors, Mitogen ; Transforming Growth Factor beta
    Language English
    Publishing date 2020-01-15
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2020.103619
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  8. Article: Development and validation of prognostic nomograms and a web-based survival rate calculator for sarcomatoid renal cell carcinoma in pre- and post-treatment patients.

    Yang, Tong / Wu, Yaohai / Zuo, You / Fu, Shuai / Xu, Zhonghua / Yu, Nengwang

    Translational andrology and urology

    2021  Volume 10, Issue 2, Page(s) 754–764

    Abstract: Background: To develop a clinical prediction model and web-based survival rate calculator to predict the overall survival (OS) and cancer-specific survival (CSS) of sarcomatoid renal cell carcinoma (SRCC) for clinical diagnosis and treatment.: Methods! ...

    Abstract Background: To develop a clinical prediction model and web-based survival rate calculator to predict the overall survival (OS) and cancer-specific survival (CSS) of sarcomatoid renal cell carcinoma (SRCC) for clinical diagnosis and treatment.
    Methods: SRCC patient data were retrieved from Surveillance, Epidemiology, and End Results (SEER) database. Factors independently associated with survival were identified by a Cox regression analysis. Nomograms of the prediction model were constructed using a SEER training cohort and validated with a SEER validation cohort. At the same time, the decision analysis curve, receiver operating characteristic curve, and calibration curve were also used to examine and evaluate the model. A web-based survival rate calculator was constructed to help assist in the assessment of the disease condition and clinical prognosis.
    Results: The records of 2,742 SRCC cases were retrieved from SEER, while 1,921 cases with a median OS of 14 and CSS of 32 months were used as the training cohort. The developed nomograms were more accurate than that of the American Joint Committee on Cancer staging (C-indexes of 0.767 versus 0.725 for OS and 0.775 versus 0.715 for CSS), with better discrimination than that of the American Joint Committee on Cancer (AJCC) stage model and the calibration was validated in the SEER validation cohort. The model's 3- and 5-year OS and CSS were superior to AJCC and T staging on the analysis decision curve. The prognosis prediction of SRCC established by the prediction model could be evaluated through the web-based survival rate calculator, which plays a guiding role in clinical treatment.
    Conclusions: Nomograms and a web-based survival rate calculator predicting the OS and CSS of SRCC patients with better discrimination and calibration were developed.
    Language English
    Publishing date 2021-02-25
    Publishing country China
    Document type Journal Article
    ZDB-ID 2851630-8
    ISSN 2223-4691 ; 2223-4691 ; 2223-4683
    ISSN (online) 2223-4691
    ISSN 2223-4691 ; 2223-4683
    DOI 10.21037/tau-20-1192
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  9. Article: Sarcomatoid-associated gene risk index for clear cell renal cell carcinoma.

    Zuo, You / Fu, Shuai / Zhao, Zhongwei / Li, Zeyan / Wu, Yijian / Qi, Tienan / Zheng, Jianguo / Du, Qinglong / Xu, Zhonghua / Yu, Nengwang

    Frontiers in genetics

    2022  Volume 13, Page(s) 985641

    Abstract: Sarcomatoid renal cell carcinoma is a de-differentiated form of kidney cancer with an extremely poor prognosis. Genes associated with sarcomatoid differentiation may be closely related to the prognosis of renal cell carcinoma. The prognosis of renal cell ...

    Abstract Sarcomatoid renal cell carcinoma is a de-differentiated form of kidney cancer with an extremely poor prognosis. Genes associated with sarcomatoid differentiation may be closely related to the prognosis of renal cell carcinoma. The prognosis of renal cell carcinoma itself is extremely variable, and a new prognostic model is needed to stratify patients and guide treatment. Data on clear cell renal cell carcinoma with or without sarcomatoid differentiation were obtained from TCGA database, and a sarcomatoid-associated gene risk index (SAGRI) and column line graphs were constructed using sarcomatoid-associated genes. The predictive power of the SAGRI and column line graphs was validated using an internal validation set and an independent validation set (E-MTAB-1980). The SAGRI was constructed using four sarcoma-like differentiation-related genes, COL7A1, LCTL, NPR3, ZFHX4, and had a 1-year AUC value of 0.725 in the training set, 0.712 in the internal validation set, and 0.770 in the independent validation set for TCGA training cohort, with high model reliability. The molecular characteristics among the SAGRI subgroups were analyzed by multiple methods, and results suggested that the SAGRI-HIGH subgroup may benefit more from immunotherapy to improve prognosis. SAGRI satisfactorily predicted the prognosis of patients with clear cell renal cell carcinoma with or without sarcomatoid differentiation.
    Language English
    Publishing date 2022-09-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2022.985641
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  10. Article ; Online: Seasonal hydrological dynamics govern lifestyle preference of aquatic antibiotic resistome.

    Adyari, Bob / Hou, Liyuan / Zhang, Lanping / Chen, Nengwang / Ju, Feng / Zhu, Longji / Yu, Chang-Ping / Hu, Anyi

    Environmental science and ecotechnology

    2022  Volume 13, Page(s) 100223

    Abstract: Antibiotic resistance genes (ARGs) are a well-known environmental concern. Yet, limited knowledge exists on the fate and transport of ARGs in deep freshwater reservoirs experiencing seasonal hydrological changes, especially in the context of particle- ... ...

    Abstract Antibiotic resistance genes (ARGs) are a well-known environmental concern. Yet, limited knowledge exists on the fate and transport of ARGs in deep freshwater reservoirs experiencing seasonal hydrological changes, especially in the context of particle-attached (PA) and free-living (FL) lifestyles. Here, the ARG profiles were examined using high-throughput quantitative PCR in PA and FL lifestyles during four seasons representing two hydrological phenomena (vertical mixing and thermal stratification) in the Shuikou Reservoir (SR), Southern China. The results indicated that seasonal hydrological dynamics were critical for influencing the ARGs in PA and FL and the transition of ARGs between the two lifestyles. ARG profiles both in PA and FL were likely to be shaped by horizontal gene transfer. However, they exhibited distinct responses to the physicochemical (e.g., nutrients and dissolved oxygen) changes under seasonal hydrological dynamics. The particle-association niche (PAN) index revealed 94 non-conservative ARGs (i.e., no preferences for PA and FL) and 23 and 16 conservative ARGs preferring PA and FL lifestyles, respectively. A sharp decline in conservative ARGs under stratified hydrologic suggested seasonal influence on the ARGs transition between PA and FL lifestyles. Remarkably, the conservative ARGs (in PA or FL lifestyle) were more closely related to bacterial OTUs in their preferred lifestyle than their counterparts, indicating lifestyle-dependent ARG enrichment. Altogether, these findings enhanced our understanding of the ARG lifestyles and the role of seasonal hydrological changes in governing the ARG transition between the lifestyles in a typical deep freshwater ecosystem.
    Language English
    Publishing date 2022-11-15
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2666-4984
    ISSN (online) 2666-4984
    DOI 10.1016/j.ese.2022.100223
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