2 datasets found
  1. f

    Table 1_Proteomic and metabolomic profiling of plasma uncovers immune...

    • frontiersin.figshare.com
    xlsx
    Updated Dec 27, 2024
    + more versions
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    Yulin Wei; Hongyan Gu; Jun Ma; Xiaojuan Mao; Bing Wang; Weiyan Wu; Shiming Yu; Jinyuan Wang; Huan Zhao; Yanbin He (2024). Table 1_Proteomic and metabolomic profiling of plasma uncovers immune responses in patients with Long COVID-19.xlsx [Dataset]. http://doi.org/10.3389/fmicb.2024.1470193.s001
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    xlsxAvailable download formats
    Dataset updated
    Dec 27, 2024
    Dataset provided by
    Frontiers
    Authors
    Yulin Wei; Hongyan Gu; Jun Ma; Xiaojuan Mao; Bing Wang; Weiyan Wu; Shiming Yu; Jinyuan Wang; Huan Zhao; Yanbin He
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Long COVID is an often-debilitating condition with severe, multisystem symptoms that can persist for weeks or months and increase the risk of various diseases. Currently, there is a lack of diagnostic tools for Long COVID in clinical practice. Therefore, this study utilizes plasma proteomics and metabolomics technologies to understand the molecular profile and pathophysiological mechanisms of Long COVID, providing clinical evidence for the development of potential biomarkers. This study included three age- and gender-matched cohorts: healthy controls (n = 18), COVID-19 recovered patients (n = 17), and Long COVID patients (n = 15). The proteomics results revealed significant differences in proteins between Long COVID-19 patients and COVID-19 recovered patients, with dysregulation mainly focused on pathways such as coagulation, platelets, complement cascade reactions, GPCR cell signal transduction, and substance transport, which can participate in regulating immune responses, inflammation, and tissue vascular repair. Metabolomics results showed that Long COVID patients and COVID-19 recovered patients have similar metabolic disorders, mainly involving dysregulation in lipid metabolites and fatty acid metabolism, such as glycerophospholipids, sphingolipid metabolism, and arachidonic acid metabolism processes. In summary, our study results indicate significant protein dysregulation and metabolic abnormalities in the plasma of Long COVID patients, leading to coagulation dysfunction, impaired energy metabolism, and chronic immune dysregulation, which are more pronounced than in COVID-19 recovered patients.

  2. f

    Data_Sheet_1_CDetection.v2: One-pot assay for the detection of...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Mar 23, 2023
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    Feng, Yingmei; Wang, Yanping; Xiang, Jie; Hu, Yanping; Zhou, Kangping; Li, Wei; Chen, Yangcan; Cheng, Xuejia; Jin, Ronghua; Liu, Ti; Zhang, Ying; Wang, Xinge; Pan, Kai; Wang, Si-Qi; Zhou, Qi; Liu, Bing; Pan, Weiye; Wang, Jianxing (2023). Data_Sheet_1_CDetection.v2: One-pot assay for the detection of SARS-CoV-2.docx [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000979820
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    Dataset updated
    Mar 23, 2023
    Authors
    Feng, Yingmei; Wang, Yanping; Xiang, Jie; Hu, Yanping; Zhou, Kangping; Li, Wei; Chen, Yangcan; Cheng, Xuejia; Jin, Ronghua; Liu, Ti; Zhang, Ying; Wang, Xinge; Pan, Kai; Wang, Si-Qi; Zhou, Qi; Liu, Bing; Pan, Weiye; Wang, Jianxing
    Description

    IntroductionThe ongoing 2019 coronavirus disease pandemic (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and its variants, is a global public health threat. Early diagnosis and identification of SARS-CoV-2 and its variants plays a critical role in COVID-19 prevention and control. Currently, the most widely used technique to detect SARS-CoV-2 is quantitative reverse transcription real-time quantitative PCR (RT-qPCR), which takes nearly 1 hour and should be performed by experienced personnel to ensure the accuracy of results. Therefore, the development of a nucleic acid detection kit with higher sensitivity, faster detection and greater accuracy is important.MethodsHere, we optimized the system components and reaction conditions of our previous detection approach by using RT-RAA and Cas12b.ResultsWe developed a Cas12b-assisted one-pot detection platform (CDetection.v2) that allows rapid detection of SARS-CoV-2 in 30 minutes. This platform was able to detect up to 5,000 copies/ml of SARS-CoV-2 without cross-reactivity with other viruses. Moreover, the sensitivity of this CRISPR system was comparable to that of RT-qPCR when tested on 120 clinical samples.DiscussionThe CDetection.v2 provides a novel one-pot detection approach based on the integration of RT-RAA and CRISPR/Cas12b for detecting SARS-CoV-2 and screening of large-scale clinical samples, offering a more efficient strategy for detecting various types of viruses.

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Yulin Wei; Hongyan Gu; Jun Ma; Xiaojuan Mao; Bing Wang; Weiyan Wu; Shiming Yu; Jinyuan Wang; Huan Zhao; Yanbin He (2024). Table 1_Proteomic and metabolomic profiling of plasma uncovers immune responses in patients with Long COVID-19.xlsx [Dataset]. http://doi.org/10.3389/fmicb.2024.1470193.s001

Table 1_Proteomic and metabolomic profiling of plasma uncovers immune responses in patients with Long COVID-19.xlsx

Related Article
Explore at:
xlsxAvailable download formats
Dataset updated
Dec 27, 2024
Dataset provided by
Frontiers
Authors
Yulin Wei; Hongyan Gu; Jun Ma; Xiaojuan Mao; Bing Wang; Weiyan Wu; Shiming Yu; Jinyuan Wang; Huan Zhao; Yanbin He
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Long COVID is an often-debilitating condition with severe, multisystem symptoms that can persist for weeks or months and increase the risk of various diseases. Currently, there is a lack of diagnostic tools for Long COVID in clinical practice. Therefore, this study utilizes plasma proteomics and metabolomics technologies to understand the molecular profile and pathophysiological mechanisms of Long COVID, providing clinical evidence for the development of potential biomarkers. This study included three age- and gender-matched cohorts: healthy controls (n = 18), COVID-19 recovered patients (n = 17), and Long COVID patients (n = 15). The proteomics results revealed significant differences in proteins between Long COVID-19 patients and COVID-19 recovered patients, with dysregulation mainly focused on pathways such as coagulation, platelets, complement cascade reactions, GPCR cell signal transduction, and substance transport, which can participate in regulating immune responses, inflammation, and tissue vascular repair. Metabolomics results showed that Long COVID patients and COVID-19 recovered patients have similar metabolic disorders, mainly involving dysregulation in lipid metabolites and fatty acid metabolism, such as glycerophospholipids, sphingolipid metabolism, and arachidonic acid metabolism processes. In summary, our study results indicate significant protein dysregulation and metabolic abnormalities in the plasma of Long COVID patients, leading to coagulation dysfunction, impaired energy metabolism, and chronic immune dysregulation, which are more pronounced than in COVID-19 recovered patients.

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