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  1. Article ; Online: Mapping RNA translation.

    Fan, Rong

    Science (New York, N.Y.)

    2023  Volume 380, Issue 6652, Page(s) 1321–1322

    Abstract: A new method maps the location of thousands of translating RNAs in cells and tissues. ...

    Abstract A new method maps the location of thousands of translating RNAs in cells and tissues.
    MeSH term(s) Gene Expression Regulation ; Protein Biosynthesis ; RNA, Messenger/genetics ; Gene Expression Profiling/methods
    Chemical Substances RNA, Messenger
    Language English
    Publishing date 2023-06-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 128410-1
    ISSN 1095-9203 ; 0036-8075
    ISSN (online) 1095-9203
    ISSN 0036-8075
    DOI 10.1126/science.adi6844
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Editorial: Inflammation and immune diseases: Molecular targets for pathogenesis and treatment.

    Wu, Fan-Rong

    Frontiers in pharmacology

    2023  Volume 14, Page(s) 1174965

    Language English
    Publishing date 2023-03-20
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2023.1174965
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: Cancer Immunotherapy & Immuno-monitoring: Mechanism, Treatment, Diagnosis, and Emerging Tools

    Ribas, Antoni / Fan, Rong / Ma, Chao

    2014  

    Abstract: In the past decade, significant progresses have taken place in the field of cancer immunotherapy. Tumor-targeting immunotherapies are being developed for most human cancers, including melanoma, prostate cancer, glioblastoma, sarcoma, lung carcinoma and ... ...

    Abstract In the past decade, significant progresses have taken place in the field of cancer immunotherapy. Tumor-targeting immunotherapies are being developed for most human cancers, including melanoma, prostate cancer, glioblastoma, sarcoma, lung carcinoma and hepatocellular carcinoma. The FDA has approved multiple molecular immunotherapeutics, such as Ipilimumab; cellular immunotherapies (e.g. adoptive cell transfer) are being tested in phase II/III clinical trials. Immunotherapetics has evolved into a sophisticated field: Multimodal therapeutic regimens are administrated to induce focused responses, curtail side- effects and improve therapeutic efficacy. The lack of effective clinical assessment tools remains a major challenge. Because of the intricacy of antitumor response, it is essential to scrutinize individual tumor-targeting immune cells and their functions at the finest details - molecules. In this regard, flow cytometry analysis modernized hematology and allows characterization of surface molecular signature on individual cells. More recently, microchip technologies and new variations of cytometry have enormously expanded the spectrum, throughout and multiplexity of single cell analysis. Nowadays, tens of millions of readouts can be generated through the course of a cancer immunotherapy to monitor the abundance, phenotype and a myriad of effector functions of single immune cells. At the same time, big data analytics and data mining methodologies have been adapted to achieve sensible diagnostic interpretations. Such a marriage of technology and analytics opens the door for informative point-of-care assessment of therapeutic efficacy and ensures timely therapeutic decisions. The new generation of personalized clinical diagnostics will revolutionize healthcare in the years to come
    Keywords Neoplasms. Tumors. Oncology. Including cancer and carcinogens ; Medicine (General)
    Size 1 electronic resource (97 p.)
    Publisher Frontiers Media SA
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT020090122
    ISBN 9782889193806 ; 2889193802
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Article ; Online: Transfer-Learning-Based Approach for the Diagnosis of Lung Diseases from Chest X-ray Images.

    Fan, Rong / Bu, Shengrong

    Entropy (Basel, Switzerland)

    2022  Volume 24, Issue 3

    Abstract: Using chest X-ray images is one of the least expensive and easiest ways to diagnose patients who suffer from lung diseases such as pneumonia and bronchitis. Inspired by existing work, a deep learning model is proposed to classify chest X-ray images into ... ...

    Abstract Using chest X-ray images is one of the least expensive and easiest ways to diagnose patients who suffer from lung diseases such as pneumonia and bronchitis. Inspired by existing work, a deep learning model is proposed to classify chest X-ray images into 14 lung-related pathological conditions. However, small datasets are not sufficient to train the deep learning model. Two methods were used to tackle this: (1) transfer learning based on two pretrained neural networks, DenseNet and ResNet, was employed; (2) data were preprocessed, including checking data leakage, handling class imbalance, and performing data augmentation, before feeding the neural network. The proposed model was evaluated according to the classification accuracy and receiver operating characteristic (ROC) curves, as well as visualized by class activation maps. DenseNet121 and ResNet50 were used in the simulations, and the results showed that the model trained by DenseNet121 had better accuracy than that trained by ResNet50.
    Language English
    Publishing date 2022-02-22
    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/e24030313
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Identification and verification of CCNB1 as a potential prognostic biomarker by comprehensive analysis.

    Zeng, Yinzhen / Fan, Rong

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 16153

    Abstract: As one of the most common types of pancreatic cancer, pancreatic ductal adenocarcinoma (PDAC) is highly invasive and lethal. This study aims to develop biomarkers and targets for the diagnosis and treatment of PDAC. Differentially expressed genes (DEGs) ... ...

    Abstract As one of the most common types of pancreatic cancer, pancreatic ductal adenocarcinoma (PDAC) is highly invasive and lethal. This study aims to develop biomarkers and targets for the diagnosis and treatment of PDAC. Differentially expressed genes (DEGs) were screened via GEO2R, protein network was constructed through STRING and Cytoscape. Functional enrichment analysis was performed, followed by survival analysis and expression validation. A total of 115 DEGs were identified, including 108 upregulated and 7 downregulated genes. After enrichment, survival analysis, one potential gene, Cyclin B1 (CCNB1), was selected for further expression verification at the mRNA and protein level. Taker together, CCNB1 may act as a potential biomarker which provided new idea for elucidation of the pathogenesis of PDAC.
    MeSH term(s) Biomarkers, Tumor/genetics ; Biomarkers, Tumor/metabolism ; Carcinoma, Pancreatic Ductal/diagnosis ; Carcinoma, Pancreatic Ductal/genetics ; Computational Biology ; Cyclin B1/genetics ; Cyclin B1/metabolism ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Gene Regulatory Networks ; Humans ; Pancreatic Neoplasms/diagnosis ; Pancreatic Neoplasms/genetics ; Prognosis ; RNA, Messenger/genetics ; Pancreatic Neoplasms
    Chemical Substances Biomarkers, Tumor ; CCNB1 protein, human ; Cyclin B1 ; RNA, Messenger
    Language English
    Publishing date 2022-09-27
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-20615-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Poor Response to Inactivated SARS-CoV-2 Vaccine in Patients With Chronic Liver Disease.

    Cao, Huanhuan / Fan, Rong

    Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association

    2022  Volume 20, Issue 8, Page(s) 1892–1893

    MeSH term(s) Antibodies, Viral ; COVID-19/prevention & control ; COVID-19 Vaccines ; Humans ; Liver Diseases ; SARS-CoV-2
    Chemical Substances Antibodies, Viral ; COVID-19 Vaccines
    Language English
    Publishing date 2022-02-03
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 2119789-1
    ISSN 1542-7714 ; 1542-3565
    ISSN (online) 1542-7714
    ISSN 1542-3565
    DOI 10.1016/j.cgh.2022.01.029
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Clinical Usage of Different Doses of Cis-Atracurium in Intracranial Aneurysm Surgery and Its Effect on Motor-Evoked Potentials.

    Qiao, Zhongyuan / Fan, Rong

    Computational and mathematical methods in medicine

    2022  Volume 2022, Page(s) 5910019

    Abstract: The objective of this work was to investigate the effect of different doses of cis-atracurium on patients undergoing general anesthesia induction (GAI) during intracranial aneurysm surgery (ICAS). In this work, 90 patients who underwent ICAS under the ... ...

    Abstract The objective of this work was to investigate the effect of different doses of cis-atracurium on patients undergoing general anesthesia induction (GAI) during intracranial aneurysm surgery (ICAS). In this work, 90 patients who underwent ICAS under the elective motor-evoked potential (MEP) monitoring in the First Affiliated Hospital of Northwest University (Xi'an No. 1 Hospital) from January 2021 to May 2022 were enrolled as the research objects. Randomly, they were rolled into a S1 group (30 cases, 2 times 95% effective dose (ED95) cis-atracurium), a S2 group (30 cases, 3 times ED95 cis-atracurium), and a S3 group (30 cases, 4 times ED95 cis-atracurium). The endotracheal intubation conditions, the train-of-four (TOF) rate (TOFR), body movement, and spontaneous breathing were compared among the three groups of patients. The results showed that the MEP inhibition time of the patients in the S3 group was much longer than that of the S1 and S2 groups, but it showed no significant difference between the S1 group and S2 group (
    MeSH term(s) Anesthesia, General ; Atracurium/adverse effects ; Evoked Potentials ; Humans ; Intracranial Aneurysm/surgery ; Intubation, Intratracheal
    Chemical Substances Atracurium (2GQ1IRY63P)
    Language English
    Publishing date 2022-06-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2252430-7
    ISSN 1748-6718 ; 1748-670X ; 1027-3662
    ISSN (online) 1748-6718
    ISSN 1748-670X ; 1027-3662
    DOI 10.1155/2022/5910019
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Health-related quality of life among ethnic minority residents in remote Western China: a cross-sectional study.

    Dong, Jiaxin / Li, Xiaoju / Fan, Rong / Yang, Jielin

    publication RETRACTED

    BMC public health

    2023  Volume 23, Issue 1, Page(s) 638

    Abstract: Background: Paying attention to the health-related quality of life (HRQOL) of rural residents in poverty-stricken areas is an important part of China's poverty alleviation, but most studies on health-related quality of life have focused on rural ... ...

    Abstract Background: Paying attention to the health-related quality of life (HRQOL) of rural residents in poverty-stricken areas is an important part of China's poverty alleviation, but most studies on health-related quality of life have focused on rural residents, elderly individuals, and patients; evidence on the HRQOL of rural minority residents is limited. Thus, this study aimed to assess the HRQOL of rural Uighur residents in remote areas of Xinjiang, China, and determine its influencing factors to provide policy opinions for realizing a healthy China strategy.
    Methods: A cross-sectional study was performed on 1019 Uighur residents in rural areas. The EQ-5D and self-administered questionnaires were used to assess HRQOL. We applied Tobit and binary logit regression models to analyse the factors influencing HRQOL among rural Uighur residents.
    Results: The health utility index of the 1019 residents was - 0.197,1. The highest proportion of respondents reporting any problem was for mobility (57.5%), followed by usual activity (52.8%). Low levels of the five dimensions were related to age, smoking, sleep time, Daily intake of vegetables and fruit per capita. Gender, age, marital status, physical exercise, sleep duration, daily intake of cooking oil per capita, daily intake of fruit per capita, distance to the nearest medical institution, non-infectious chronic diseases (NCDs), self-rated health score, and participation in community activities were correlated with the health utility index of rural Uighur residents.
    Conclusions: HRQOL was lower for rural Uyghur residents than for the general population. Improving health behavioural lifestyles and reducing the incidence of poverty (return to poverty) due to illness are effective means of promoting the health in Uyghur residents. The region must fulfil the health poverty alleviation policy and focus on vulnerable groups and low-income residents to improve the health, ability, opportunity, and confidence of this population to live well.
    MeSH term(s) Humans ; Aged ; Quality of Life ; Cross-Sectional Studies ; Ethnicity ; Ethnic and Racial Minorities ; Minority Groups ; Surveys and Questionnaires ; Rural Population ; China/epidemiology
    Language English
    Publishing date 2023-04-03
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Retracted Publication
    ZDB-ID 2041338-5
    ISSN 1471-2458 ; 1471-2458
    ISSN (online) 1471-2458
    ISSN 1471-2458
    DOI 10.1186/s12889-023-15544-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: SIMVI reveals intrinsic and spatial-induced states in spatial omics data.

    Dong, Mingze / Kluger, Harriet / Fan, Rong / Kluger, Yuval

    bioRxiv : the preprint server for biology

    2023  

    Abstract: Spatial omics analyze gene expression and interaction dynamics in relation to tissue structure and function. However, existing methods cannot model the intrinsic and spatial-induced variation in spatial omics data, thus failing to identify true spatial ... ...

    Abstract Spatial omics analyze gene expression and interaction dynamics in relation to tissue structure and function. However, existing methods cannot model the intrinsic and spatial-induced variation in spatial omics data, thus failing to identify true spatial interaction effects. Here, we present Spatial Interaction Modeling using Variational Inference (SIMVI), an annotation-free framework that disentangles cell intrinsic and spatial-induced latent variables for modeling gene expression in spatial omics data. SIMVI enables novel downstream analyses, such as clustering and differential expression analysis based on disentangled representations, spatial effect (SE) identification, SE interpretation, and transfer learning on new measurements / modalities. We benchmarked SIMVI on both simulated and real datasets and show that SIMVI uniquely generates highly accurate SE inferences in synthetic datasets and unveils intrinsic variation in complex real datasets. We applied SIMVI to spatial omics data from diverse platforms and tissues (MERFISH human cortex / mouse liver, Slide-seqv2 mouse hippocampus, Spatial-ATAC-RNA-seq) and revealed various region-specific and cell-type-specific spatial interactions. In addition, our experiments on MERFISH human cortex and spatial-ATAC-RNA-seq showcased SIMVI's power in identifying SEs for new samples / modalities. Finally, we applied SIMVI on a newly collected CosMx melanoma dataset. Using SIMVI, we identified immune cells associated with spatial-dependent interactions and revealed the underlying spatial variations associated with patient outcomes.
    Language English
    Publishing date 2023-08-30
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.08.28.554970
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Protein Kinase C Is Involved in Vegetative Development, Stress Response and Pathogenicity in

    Wang, Dahui / Zhao, Zhibo / Long, Youhua / Fan, Rong

    International journal of molecular sciences

    2023  Volume 24, Issue 18

    Abstract: Potato Verticillium wilt, caused ... ...

    Abstract Potato Verticillium wilt, caused by
    Language English
    Publishing date 2023-09-19
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms241814266
    Database MEDical Literature Analysis and Retrieval System OnLINE

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