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  1. Article: Synthesis and characterization of atherosclerotic target anti-CD47 functionalized by nano-polyelectrolyte complexes between chitosan and hyaluronic acid and in vivo and in vitro targeting experiments.

    Yu, Jun / Ruan, Qiurong / Nie, Xiu

    Advances in clinical and experimental medicine : official organ Wroclaw Medical University

    2021  Volume 29, Issue 12, Page(s) 1407–1415

    Abstract: Background: In several different atherosclerotic model mice, blocking CD47 with anti-CD47 antibody significantly reduced accumulation of arterial plaque.: Objectives: We described the development of multifunctional positively charged polyelectrolyte ... ...

    Abstract Background: In several different atherosclerotic model mice, blocking CD47 with anti-CD47 antibody significantly reduced accumulation of arterial plaque.
    Objectives: We described the development of multifunctional positively charged polyelectrolyte complex (PEC) nanoparticles, designed to be stable at physiological salt concentrations and pH for effective targeted delivery in atherosclerosis.
    Material and methods: These nanoparticles were obtained by charge neutralization using chitosan (CS) as the polycation and hyaluronic acid (HA) as the polyanion. An atherosclerotic-model antibody, the anti-CD47 antibody, was sorbed onto the particle surfaces in water and phosphate-buffered saline (PBS) for 4 h. The synthetic nanocarriers were exposed to vascular endothelial cells (VECs) in vitro to study their targeted adsorption to the cells, and the targeted distribution of nanocarriers was evaluated in vivo.
    Results: We showed that the complexation process and the physicochemical properties of the resulting colloids were impacted by external parameters such as the charge mixing ratio and the polymer concentrations. Nonstoichiometric colloidal PECs were obtained in water or PBS (pH 7.4) and remained stable for 1 month. The morphology was studied with scanning electron microscopy (SEM). The average size of the CS-HA/CD47 nanoparticles was 375-620 nm, with a positive zeta potential. The CD47-targeted nanocarriers could be efficiently adsorbed to the surface of VECs in vitro, and their targeted distribution was evaluated in vivo.
    Conclusions: Targeted nanocarriers can be effectively adsorbed to the surface of a VEC line and atheromatous plaque in vitro and in vivo. These results demonstrated that CS-HA/CD47 can be an effective carrier for targeted drug delivery in atherosclerosis.
    MeSH term(s) Animals ; Antibodies ; Atherosclerosis/drug therapy ; CD47 Antigen ; Chitosan ; Endothelial Cells ; Hyaluronic Acid ; Mice ; Nanoparticles ; Polyelectrolytes
    Chemical Substances Antibodies ; CD47 Antigen ; Polyelectrolytes ; Hyaluronic Acid (9004-61-9) ; Chitosan (9012-76-4)
    Language English
    Publishing date 2021-01-02
    Publishing country Poland
    Document type Journal Article
    ZDB-ID 2270257-X
    ISSN 1899-5276 ; 1230-025X
    ISSN 1899-5276 ; 1230-025X
    DOI 10.17219/acem/127685
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Synthetic CD47 antibody-chitosan/hyaluronic acid polyelectrolyte complex mediates targeted inhibition of atherosclerotic plaques by exogenous foam-like cells via the NLRP3 pathway.

    Yu, Jun / Ruan, Qiurong / Nie, Xiu / Yu, Lan / Huang, Bangxing

    Journal of biomaterials applications

    2020  Volume 34, Issue 10, Page(s) 1381–1394

    Language English
    Publishing date 2020-02-16
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 639283-0
    ISSN 1530-8022 ; 0885-3282
    ISSN (online) 1530-8022
    ISSN 0885-3282
    DOI 10.1177/0885328220905181
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Correction to: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China.

    Ruan, Qiurong / Yang, Kun / Wang, Wenxia / Jiang, Lingyu / Song, Jianxin

    Intensive care medicine

    2020  Volume 46, Issue 6, Page(s) 1294–1297

    Abstract: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China. ...

    Abstract Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China.
    Keywords covid19
    Language English
    Publishing date 2020-04-06
    Publishing country United States
    Document type Journal Article ; Published Erratum
    ZDB-ID 80387-x
    ISSN 1432-1238 ; 0340-0964 ; 0342-4642 ; 0935-1701
    ISSN (online) 1432-1238
    ISSN 0340-0964 ; 0342-4642 ; 0935-1701
    DOI 10.1007/s00134-020-06028-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China.

    Ruan, Qiurong / Yang, Kun / Wang, Wenxia / Jiang, Lingyu / Song, Jianxin

    Intensive care medicine

    2020  Volume 46, Issue 5, Page(s) 846–848

    MeSH term(s) Betacoronavirus ; COVID-19 ; China/epidemiology ; Coronavirus Infections/complications ; Coronavirus Infections/mortality ; Female ; Humans ; Male ; Pandemics ; Pneumonia, Viral/complications ; Pneumonia, Viral/mortality ; Risk Assessment ; Risk Factors ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-03-03
    Publishing country United States
    Document type Letter
    ZDB-ID 80387-x
    ISSN 1432-1238 ; 0340-0964 ; 0342-4642 ; 0935-1701
    ISSN (online) 1432-1238
    ISSN 0340-0964 ; 0342-4642 ; 0935-1701
    DOI 10.1007/s00134-020-05991-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: [Retrospect and prospect on cardiovascular pathology in last decade of China].

    Ruan, Qiurong / Wang, Hongyue

    Zhonghua bing li xue za zhi = Chinese journal of pathology

    2015  Volume 44, Issue 7, Page(s) 450–454

    MeSH term(s) Cardiovascular System/pathology ; China ; Humans
    Language Chinese
    Publishing date 2015-07
    Publishing country China
    Document type Journal Article
    ZDB-ID 784533-9
    ISSN 0529-5807
    ISSN 0529-5807
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China

    Ruan, Qiurong / Yang, Kun / Wang, Wenxia / Jiang, Lingyu / Song, Jianxin

    Intensive Care Med

    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #3311
    Database COVID19

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  7. Article: Diagnostic models for fever of unknown origin based on

    Chen, Jia / Xing, MingYou / Xu, Dong / Xie, NaNa / Zhang, WenCong / Ruan, QiuRong / Song, JianXin

    EJNMMI research

    2022  Volume 12, Issue 1, Page(s) 69

    Abstract: Background: This study aims to analyze the : Results: The metabolic characteristics of the "hottest" lesion, the spleen, bone marrow, and lymph nodes varied for various causes. PET/CT combined with clinical parameters achieved better discrimination ... ...

    Abstract Background: This study aims to analyze the
    Results: The metabolic characteristics of the "hottest" lesion, the spleen, bone marrow, and lymph nodes varied for various causes. PET/CT combined with clinical parameters achieved better discrimination in the differential diagnosis of FUO. The etiological diagnostic models included the following factors: multisite metabolic characteristics, blood cell counts, inflammatory indicators (erythrocyte sedimentation rate, C-reactive protein, serum ferritin, and lactate dehydrogenase), immunological indicators (interferon gamma release assay, antinuclear antibody, and anti-neutrophil cytoplasm antibody), specific signs (weight loss, rash, and splenomegaly), and age. In the testing cohort, the AUCs of the infection prediction model, the malignancy diagnostic model, and the noninfectious inflammatory disease prediction model were 0.89 (95% CI 0.86-0.92), 0.94 (95% CI 0.92-0.97), and 0.95 (95% CI 0.93-0.97), respectively. The corresponding AUCs for the validation cohort were 0.88 (95% CI 0.82-0.93), 0.93 (95% CI 0.89-0.98), and 0.95 (95% CI 0.92-0.99), respectively.
    Conclusions: 18
    Language English
    Publishing date 2022-10-28
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2619892-7
    ISSN 2191-219X
    ISSN 2191-219X
    DOI 10.1186/s13550-022-00937-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Correction to

    Ruan, Qiurong / Yang, Kun / Wang, Wenxia / Jiang, Lingyu / Song, Jianxin

    Intensive Care Medicine

    Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China

    2020  Volume 46, Issue 6, Page(s) 1294–1297

    Keywords Critical Care and Intensive Care Medicine ; covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    ZDB-ID 80387-x
    ISSN 1432-1238 ; 0340-0964 ; 0342-4642 ; 0935-1701
    ISSN (online) 1432-1238
    ISSN 0340-0964 ; 0342-4642 ; 0935-1701
    DOI 10.1007/s00134-020-06028-z
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China

    Ruan, Qiurong / Yang, Kun / Wang, Wenxia / Jiang, Lingyu / Song, Jianxin

    Intensive Care Medicine

    2020  Volume 46, Issue 5, Page(s) 846–848

    Keywords Critical Care and Intensive Care Medicine ; covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    ZDB-ID 80387-x
    ISSN 1432-1238 ; 0340-0964 ; 0342-4642 ; 0935-1701
    ISSN (online) 1432-1238
    ISSN 0340-0964 ; 0342-4642 ; 0935-1701
    DOI 10.1007/s00134-020-05991-x
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Diagnostic models for fever of unknown origin based on 18F-FDG PET/CT

    Jia Chen / MingYou Xing / Dong Xu / NaNa Xie / WenCong Zhang / QiuRong Ruan / JianXin Song

    EJNMMI Research, Vol 12, Iss 1, Pp 1-

    a prospective study in China

    2022  Volume 10

    Abstract: Abstract Background This study aims to analyze the 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) characteristics of different causes of fever of unknown origin (FUO) and identify independent predictors to ... ...

    Abstract Abstract Background This study aims to analyze the 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) characteristics of different causes of fever of unknown origin (FUO) and identify independent predictors to develop a suitable diagnostic model for distinguishing between these causes. A total of 524 patients with classical FUO who underwent standard diagnostic procedures and PET/CT were prospectively studied. The diagnostic performance of PET/CT imaging was analyzed, and relevant clinical parameters that could improve diagnostic efficacy were identified. The model was established using the data of 369 patients and the other 155 patients comprised the validation cohort for verifying the diagnostic performance of the model. Results The metabolic characteristics of the “hottest” lesion, the spleen, bone marrow, and lymph nodes varied for various causes. PET/CT combined with clinical parameters achieved better discrimination in the differential diagnosis of FUO. The etiological diagnostic models included the following factors: multisite metabolic characteristics, blood cell counts, inflammatory indicators (erythrocyte sedimentation rate, C-reactive protein, serum ferritin, and lactate dehydrogenase), immunological indicators (interferon gamma release assay, antinuclear antibody, and anti-neutrophil cytoplasm antibody), specific signs (weight loss, rash, and splenomegaly), and age. In the testing cohort, the AUCs of the infection prediction model, the malignancy diagnostic model, and the noninfectious inflammatory disease prediction model were 0.89 (95% CI 0.86–0.92), 0.94 (95% CI 0.92–0.97), and 0.95 (95% CI 0.93–0.97), respectively. The corresponding AUCs for the validation cohort were 0.88 (95% CI 0.82–0.93), 0.93 (95% CI 0.89–0.98), and 0.95 (95% CI 0.92–0.99), respectively. Conclusions 18F-FDG PET/CT has a certain level of sensitivity and accuracy in diagnosing FUO, which can be further improved by combining it with clinical parameters. Diagnostic models based on PET/CT ...
    Keywords FUO ; 18F-FDG PET/CT ; Clinical parameters ; Diagnostic model ; Medical physics. Medical radiology. Nuclear medicine ; R895-920
    Subject code 610
    Language English
    Publishing date 2022-10-01T00:00:00Z
    Publisher SpringerOpen
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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