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1000 Titel
  • Interleukin-18 Is a Potential Biomarker to Discriminate Active Adult-Onset Still’s Disease From COVID-19
1000 Autor/in
  1. Chen, Po-Ku |
  2. Lan, Joung-Liang |
  3. Huang, Po-Hao |
  4. Hsu, Jye-Lin |
  5. Chang, Ching-Kun |
  6. Tien, Ni |
  7. Lin, Hui-Ju |
  8. Chen, Der-Yuan |
1000 Verlag
  • Frontiers Media S.A.
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-07-23
1000 Erschienen in
1000 Quellenangabe
  • 12:719544
1000 Copyrightjahr
  • 2021
1000 Embargo
  • 2022-01-25
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3389/fimmu.2021.719544 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8343229/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Abstract/Summary
  • <jats:sec><jats:title>Background</jats:title><jats:p>Hyperinflammation with dysregulated production of galectins and cytokines may develop in COVID-19 or adult-onset Still’s disease (AOSD). Given the similar clinical features in both diseases, it is necessary to identify biomarkers that can differentiate COVID-19 from AOSD. However, the related data remain scarce currently.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>In this cross-sectional study, plasma levels of galectin-3, galectin-9, and soluble TIM-3 (sTIM-3) were determined by ELISA in 55 COVID-19 patients (31 non-severe and 24 severe), 23 active AOSD patients, and 31 healthy controls (HC). The seropositivity for SARS-CoV-2 was examined using an immunochromatographic assay, and cytokine profiles were determined with the MULTIPLEX platform.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Significantly higher levels of galectin-3, galectin-9, IL-1β, IL-1Ra, IL-10, IFN-α2, IL-6, IL-18, and TNF-α were observed in severe COVID-19 and active AOSD patients compared with HC (all p&amp;lt;0.001). AOSD, but not COVID-19, showed significantly higher IFN-γ and IL-17A compared with HC (both p&amp;lt;0.01). Moreover, active AOSD patients had 68-fold higher IL-18 levels and 5-fold higher ferritin levels than severe COVID-19 patients (both p&amp;lt;0.001). IL-18 levels at the cut-off value 190.5pg/mL had the highest discriminative power for active AOSD and severe COVID-19, with AUC 0.948, sensitivity 91.3%, specificity 95.8%, and accuracy of 91.5% (p&amp;lt;0.005). Multivariate regression analysis revealed IL-18 as a significant predictor of active AOSD (p&amp;lt;0.05).</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Active AOSD patients share features of hyperinflammation and cytokine storm with severe COVID-19 patients but possess a distinct cytokine profile, including elevated IL-18, IL-6, IFN-γ, and IL-17A. IL-18 is a potential discriminator between AOSD and COVID-19 and may significantly predict active AOSD.</jats:p></jats:sec>
1000 Sacherschließung
lokal Interleukin-18/immunology [MeSH]
lokal Still's Disease, Adult-Onset/blood [MeSH]
lokal cytokine profile
gnd 1206347392 COVID-19
lokal Female [MeSH]
lokal Immunology
lokal COVID-19/immunology [MeSH]
lokal Adult [MeSH]
lokal Biomarkers/blood [MeSH]
lokal Humans [MeSH]
lokal COVID-19
lokal Cross-Sectional Studies [MeSH]
lokal galectins
lokal adult-onset Still’s disease (AOSD)
lokal Male [MeSH]
lokal SARS-CoV-2/immunology [MeSH]
lokal ferritin
lokal COVID-19/blood [MeSH]
lokal Interleukin-18/blood [MeSH]
lokal SARS-CoV-2/metabolism [MeSH]
lokal Still's Disease, Adult-Onset/immunology [MeSH]
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/Q2hlbiwgUG8tS3U=|https://frl.publisso.de/adhoc/uri/TGFuLCBKb3VuZy1MaWFuZw==|https://frl.publisso.de/adhoc/uri/SHVhbmcsIFBvLUhhbw==|https://frl.publisso.de/adhoc/uri/SHN1LCBKeWUtTGlu|https://frl.publisso.de/adhoc/uri/Q2hhbmcsIENoaW5nLUt1bg==|https://frl.publisso.de/adhoc/uri/VGllbiwgTmk=|https://frl.publisso.de/adhoc/uri/TGluLCBIdWktSnU=|https://frl.publisso.de/adhoc/uri/Q2hlbiwgRGVyLVl1YW4=
1000 Hinweis
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1000 Label
1000 Förderer
  1. China Medical University Hospital |
  2. China Medical University, Taiwan |
  3. Ministry of Science and Technology, Taiwan |
1000 Fördernummer
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  2. -
  3. -
1000 Förderprogramm
  1. -
  2. -
  3. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer China Medical University Hospital |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer China Medical University, Taiwan |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Ministry of Science and Technology, Taiwan |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 Erstellt am 2024-05-22T02:10:25.888+0200
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1000 Zuletzt bearbeitet Wed May 22 15:21:23 CEST 2024
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