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  • 1
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    Data_Sheet_1.PDF
    Frontiers Media SA ; 2021
    In:  Frontiers in Neuroscience Vol. 15 ( 2021-10-29)
    Details
    In: Frontiers in Neuroscience, Frontiers Media SA, Vol. 15 ( 2021-10-29)
    Abstract: Background: Movement fluctuations are the main complication of Parkinson's disease (PD) patients receiving long-term levodopa (L-dopa) treatment. We compared and ranked the efficacy and safety of dopamine agonists (DAs) with regard to motor fluctuations by using a Bayesian network meta-analysis (NMA) to quantify information from randomized controlled trials (RCTs). Methods and Findings: We carried out a systematic review and meta-analysis, and only RCTs comparing DAs for advanced PD were included. Electronic databases (PubMed, Embase, and Cochrane Library) were systematically searched for relevant studies published until January 2021. Two reviewers independently extracted individual study data and evaluated studies for risk of bias using the Cochrane Risk of Bias tool. Network meta-analyses using a Bayesian framework were used to calculate the related parameters. The pre-specified primary and secondary outcomes were efficacy (“ON” time without troublesome dyskinesia, “OFF” time, “ON” time, “UPDRS-III,” and “UPDRS-II”) and safety [treatment-emergent adverse events (TEAE) and other adverse events] of DAs. The results are presented as the surface under the cumulative ranking (SUCRA) curve. A total of 20 RCTs assessing 6,560 patients were included. The general DA effects were ranked from high to low with respect to the amount of “ON” time without troublesome dyskinesia as follows: apomorphine (SUCRA = 97.08%), pramipexole_IR (probability = 79.00%), and ropinirole_PR (SUCRA = 63.92%). The general safety of DAs was ranked from high to low with respect to TEAE as follows: placebo (SUCRA = 74.49%), pramipexole_ER (SUCRA = 63.6%), sumanirole (SUCRA = 54.07%), and rotigotine (SUCRA = 53.84%). Conclusions: This network meta-analysis shows that apomorphine increased “ON” time without troublesome dyskinesia and decreased “OF” time for advanced PD patients. The addition of pramipexole, ropinirole, or rotigotine to levodopa treatment in advanced PD patients with motor fluctuations increased “ON” time without troublesome dyskinesia, improved the UPDRS III scores, and ultimately ameliorated the UPDRS II scores, thereby maximizing its benefit. This NMA of pramipexole, ropinirole, and rotigotine represents an effective treatment option and has an acceptable safety profile in patients with advanced PD.
    Type of Medium: Online Resource
    ISSN: 1662-453X
    URL: Article
    URL: Article
    DOI: 10.3389/fnins.2021.728083
    DOI: 10.3389/fnins.2021.728083.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2411902-7
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  • 2
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    MeshMap: A Magnetic Field-Based Indoor Navigation System With Crowdsourcing Support
    Institute of Electrical and Electronics Engineers (IEEE) ; 2020
    In:  IEEE Access Vol. 8 ( 2020), p. 39959-39970
    Details
    In: IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), Vol. 8 ( 2020), p. 39959-39970
    Type of Medium: Online Resource
    ISSN: 2169-3536
    URL: Journal
    URL: Article
    DOI: 10.1109/Access.6287639
    DOI: 10.1109/ACCESS.2020.2974901
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2020
    detail.hit.zdb_id: 2687964-5
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  • 3
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    Association between grip strength and albuminuria in the general United States population: NHANES 2011–2014
    Frontiers Media SA ; 2024
    In:  Frontiers in Public Health Vol. 12 ( 2024-4-19)
    Details
    In: Frontiers in Public Health, Frontiers Media SA, Vol. 12 ( 2024-4-19)
    Abstract: Grip strength has been shown to be associated with chronic renal insufficiency, but the relationship between grip strength and albuminuria has not been confirmed. In this study, we used NHANES data to explore the association between grip strength and albuminuria in a US population. Methods In this analytical study, we utilized data sourced from the National Health and Nutrition Examination Survey (NHANES), specifically spanning the years 2011 to 2014. The dataset included 9,638 participants aged 20 years or older. After adjusting for potential confounders, multiple regression models were developed to infer the interrelationship between grip strength and albumin to creatinine ratio (ACR), and subgroup analyses were conducted. Results After adjusting for all covariates, ACR by 0.49 mg/g [−0.49 (95% CI: −0.93, −0.04)] for each 1 kg increase in grip strength decreased. Subgroup analysis showed that gender, age, hyperlipidemia, hypertension, diabetes mellitus, smoking, alcohol consumption and body mass index did not influence the negative correlation between grip strength and albuminuria. Conclusion There is a negative correlation between grip strength and albuminuria in the general U.S. population.
    Type of Medium: Online Resource
    ISSN: 2296-2565
    URL: Article
    DOI: 10.3389/fpubh.2024.1353881
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2024
    detail.hit.zdb_id: 2711781-9
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  • 4
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    Table_1.docx
    Frontiers Media SA ; 2024
    In:  Frontiers in Medicine Vol. 11 ( 2024-4-26)
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    In: Frontiers in Medicine, Frontiers Media SA, Vol. 11 ( 2024-4-26)
    Abstract: This study aimed to predict severe coronavirus disease 2019 (COVID-19) progression in patients with increased pneumonia lesions in the early days. A simplified nomogram was developed utilizing artificial intelligence (AI)-based quantified computed tomography (CT). Methods From 17 December 2019 to 20 February 2020, a total of 246 patients were confirmed COVID-19 infected in Jingzhou Central Hospital, Hubei Province, China. Of these patients, 93 were mildly ill and had follow-up examinations in 7 days, and 61 of them had enlarged lesions on CT scans. We collected the neutrophil-to-lymphocyte ratio (NLR) and three quantitative CT features from two examinations within 7 days. The three quantitative CT features of pneumonia lesions, including ground-glass opacity volume (GV), semi-consolidation volume (SV), and consolidation volume (CV), were automatically calculated using AI. Additionally, the variation volumes of the lesions were also computed. Finally, a nomogram was developed using a multivariable logistic regression model. To simplify the model, we classified all the lesion volumes based on quartiles and curve fitting results. Results Among the 93 patients, 61 patients showed enlarged lesions on CT within 7 days, of whom 19 (31.1%) developed any severe illness. The multivariable logistic regression model included age, NLR on the second time, an increase in lesion volume, and changes in SV and CV in 7 days. The personalized prediction nomogram demonstrated strong discrimination in the sample, with an area under curve (AUC) and the receiver operating characteristic curve (ROC) of 0.961 and a 95% confidence interval (CI) of 0.917–1.000. Decision curve analysis illustrated that a nomogram based on quantitative AI was clinically useful. Conclusion The integration of CT quantitative changes, NLR, and age in this model exhibits promising performance in predicting the progression to severe illness in COVID-19 patients with early-stage pneumonia lesions. This comprehensive approach holds the potential to assist clinical decision-making.
    Type of Medium: Online Resource
    ISSN: 2296-858X
    URL: Article
    URL: Article
    URL: Article
    DOI: 10.3389/fmed.2024.1343661
    DOI: 10.3389/fmed.2024.1343661.s001
    DOI: 10.3389/fmed.2024.1343661.s002
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2024
    detail.hit.zdb_id: 2775999-4
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  • 5
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    DataSheet1.docx
    Frontiers Media SA ; 2023
    In:  Frontiers in Genetics Vol. 14 ( 2023-3-2)
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    In: Frontiers in Genetics, Frontiers Media SA, Vol. 14 ( 2023-3-2)
    Abstract: Idiopathic pulmonary fibrosis (IPF) is a chronic progressive interstitial lung disease of unknown etiology, characterized by diffuse alveolitis and alveolar structural damage. Due to the short median survival time and poor prognosis of IPF, it is particularly urgent to find new IPF biomarkers. Previous studies have shown that basement membranes (BMs) are associated with the development of IPF and tumor metastasis. However, there is still a lack of research on BMs-related genes in IPF. Therefore, we investigated the expression level of BMs genes in IPF and control groups, and explored their potential as biomarkers for IPF diagnosis. In this study, the GSE32537 and GSE53845 datasets were used as training sets, while the GSE24206, GSE10667 and GSE101286 datasets were used as validation sets. In the training set, seven immune biomarkers related to BMs were selected by differential expression analysis, machine learning algorithm (LASSO, SVM-RFE, Randomforest) and ssGSEA analysis. Further ROC analysis confirmed that seven BMs-related genes played an important role in IPF. Finally, four immune-related Hub genes ( COL14A1 , COL17A1 , ITGA10 , MMP7 ) were screened out. Then we created a logistic regression model of immune-related hub genes (IHGs) and used a nomogram to predict IPF risk. The nomogram model was evaluated to have good reliability and validity, and ROC analysis showed that the AUC value of IHGs was 0.941 in the training set and 0.917 in the validation set. Pan-cancer analysis showed that IHGs were associated with prognosis, immune cell infiltration, TME, and drug sensitivity in 33 cancers, suggesting that IHGs may be potential targets for intervention in human diseases including IPF and cancer.
    Type of Medium: Online Resource
    ISSN: 1664-8021
    URL: Article
    URL: Article
    DOI: 10.3389/fgene.2023.1114601
    DOI: 10.3389/fgene.2023.1114601.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
    detail.hit.zdb_id: 2606823-0
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  • 6
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    Table1.docx
    Frontiers Media SA ; 2023
    In:  Frontiers in Genetics Vol. 13 ( 2023-1-6)
    Details
    In: Frontiers in Genetics, Frontiers Media SA, Vol. 13 ( 2023-1-6)
    Abstract: Background: Idiopathic pulmonary fibrosis (IPF) is a life-threatening disease whose etiology remains unknown. This study aims to explore diagnostic biomarkers and pathways involved in IPF using bioinformatics analysis. Methods: IPF-related gene expression datasets were retrieved and downloaded from the NCBI Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened, and weighted correlation network analysis (WGCNA) was performed to identify key module and genes. Functional enrichment analysis was performed on genes in the clinically significant module. Then least absolute shrinkage and selection operator (LASSO) logistic regression and support vector machine-recursive feature elimination (SVM-RFE) algorithms were run to screen candidate biomarkers. The expression and diagnostic value of the biomarkers in IPF were further validated in external test datasets (GSE110147). Results: 292 samples and 1,163 DEGs were screened to construct WGCNA. In WGCNA, the blue module was identified as the key module, and 59 genes in this module correlated highly with IPF. Functional enrichment analysis of blue module genes revealed the importance of extracellular matrix-associated pathways in IPF. IL13RA2, CDH3, and COMP were identified as diagnostic markers of IPF via LASSO and SVM-RFE. These genes showed good diagnostic value for IPF and were significantly upregulated in IPF. Conclusion: This study indicates that IL13RA2, CDH3, and COMP could serve as diagnostic signature for IPF and might offer new insights in the underlying diagnosis of IPF.
    Type of Medium: Online Resource
    ISSN: 1664-8021
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    DOI: 10.3389/fgene.2022.985217
    DOI: 10.3389/fgene.2022.985217.s001
    DOI: 10.3389/fgene.2022.985217.s002
    DOI: 10.3389/fgene.2022.985217.s003
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
    detail.hit.zdb_id: 2606823-0
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  • 7
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    Analyzing and Researching of the Economic Utility of Information Resource Configuration Based on Cloud Computing
    Trans Tech Publications, Ltd. ; 2013
    In:  Applied Mechanics and Materials Vol. 291-294 ( 2013-2), p. 2863-2868
    Details
    In: Applied Mechanics and Materials, Trans Tech Publications, Ltd., Vol. 291-294 ( 2013-2), p. 2863-2868
    Abstract: The amount of investment in the information technology facilities continue to improve, but the use of information resources is far from the desired target and resources are not utilized effectively,. The lower level configuration is gradually emerging. Cloud computing can help improve effective, rational, and scientific use of information resources to promote the information resource utility, thus contributing to the sustainable development of the information industry. The article from the economic point of view, especially from the economic utility and cost saving view, analyze the economic value of cloud computing configuration. Thus, It demonstrate the positive economic value of technological revolution application mode represented by the cloud computing from the point of view of economics.
    Type of Medium: Online Resource
    ISSN: 1662-7482
    URL: Issue
    URL: Article
    DOI: 10.4028/www.scientific.net/AMM.291-294
    DOI: 10.4028/www.scientific.net/AMM.291-294.2863
    Language: Unknown
    Publisher: Trans Tech Publications, Ltd.
    Publication Date: 2013
    detail.hit.zdb_id: 2251882-4
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  • 8
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    Data_Sheet_2.csv
    Frontiers Media SA ; 2023
    In:  Frontiers in Neuroscience Vol. 17 ( 2023-7-4)
    Details
    In: Frontiers in Neuroscience, Frontiers Media SA, Vol. 17 ( 2023-7-4)
    Abstract: Cocaine is a highly addictive drug that is abused due to its excitatory effect on the central nervous system. It is critical to reveal the mechanisms of cocaine addiction and identify key genes that play an important role in addiction. Methods In this study, we proposed a centrality algorithm integration strategy to identify key genes in a protein–protein interaction (PPI) network constructed by deferential genes from cocaine addiction-related datasets. In order to investigate potential therapeutic drugs for cocaine addiction, a network of targeted relationships between nervous system drugs and key genes was established. Results Four key genes (JUN, FOS, EGR1, and IL6) were identified and well validated using CTD database correlation analysis, text mining, independent dataset analysis, and enrichment analysis methods, and they might serve as biomarkers of cocaine addiction. A total of seventeen drugs have been identified from the network of targeted relationships between nervous system drugs and key genes, of which five (disulfiram, cannabidiol, dextroamphetamine, diazepam, and melatonin) have been shown in the literature to play a role in the treatment of cocaine addiction. Discussion This study identified key genes and potential therapeutic drugs for cocaine addiction, which provided new ideas for the research of the mechanism of cocaine addiction.
    Type of Medium: Online Resource
    ISSN: 1662-453X
    URL: Article
    URL: Article
    URL: Article
    DOI: 10.3389/fnins.2023.1201897
    DOI: 10.3389/fnins.2023.1201897.s001
    DOI: 10.3389/fnins.2023.1201897.s002
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
    detail.hit.zdb_id: 2411902-7
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  • 9
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    Tryptophan 2, 3‑dioxygenase promotes proliferation, migration and invasion of ovarian cancer cells
    Spandidos Publications ; 2021
    In:  Molecular Medicine Reports Vol. 23, No. 6 ( 2021-04-12)
    Details
    In: Molecular Medicine Reports, Spandidos Publications, Vol. 23, No. 6 ( 2021-04-12)
    Type of Medium: Online Resource
    ISSN: 1791-2997 , 1791-3004
    URL: Journal
    URL: Article
    DOI: 10.3892/mmr
    DOI: 10.3892/mmr.2021.12084
    Language: Unknown
    Publisher: Spandidos Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2469505-1
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