Potential marker subset of blood-circulating cytokines on hematopoietic progenitor-to-Th1 pathway in COVID-19
In this study, we analyzed a relatively large subset of proteins, including 109 kinds of blood-circulating cytokines, and precisely described a cytokine storm in the expression level and the range of fluctuations during hospitalization for COVID-19. Of the proteins analyzed in COVID-19, approximatel...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-02-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2024.1319980/full |
| _version_ | 1797294181560877056 |
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| author | Yasuo Takashima Tohru Inaba Tasuku Matsuyama Kengo Yoshii Masami Tanaka Kazumichi Matsumoto Kazuki Sudo Yuichi Tokuda Natsue Omi Masakazu Nakano Takaaki Nakaya Naohisa Fujita Naohisa Fujita Chie Sotozono Teiji Sawa Teiji Sawa Kei Tashiro Bon Ohta |
| author_facet | Yasuo Takashima Tohru Inaba Tasuku Matsuyama Kengo Yoshii Masami Tanaka Kazumichi Matsumoto Kazuki Sudo Yuichi Tokuda Natsue Omi Masakazu Nakano Takaaki Nakaya Naohisa Fujita Naohisa Fujita Chie Sotozono Teiji Sawa Teiji Sawa Kei Tashiro Bon Ohta |
| author_sort | Yasuo Takashima |
| collection | DOAJ |
| description | In this study, we analyzed a relatively large subset of proteins, including 109 kinds of blood-circulating cytokines, and precisely described a cytokine storm in the expression level and the range of fluctuations during hospitalization for COVID-19. Of the proteins analyzed in COVID-19, approximately 70% were detected with Bonferroni-corrected significant differences in comparison with disease severity, clinical outcome, long-term hospitalization, and disease progression and recovery. Specifically, IP-10, sTNF-R1, sTNF-R2, sCD30, sCD163, HGF, SCYB16, IL-16, MIG, SDF-1, and fractalkine were found to be major components of the COVID-19 cytokine storm. Moreover, the 11 cytokines (i.e., SDF-1, SCYB16, sCD30, IL-11, IL-18, IL-8, IFN-γ, TNF-α, sTNF-R2, M-CSF, and I-309) were associated with the infection, mortality, disease progression and recovery, and long-term hospitalization. Increased expression of these cytokines could be explained in sequential pathways from hematopoietic progenitor cell differentiation to Th1-derived hyperinflammation in COVID-19, which might also develop a novel strategy for COVID-19 therapy with recombinant interleukins and anti-chemokine drugs. |
| first_indexed | 2024-03-07T21:26:32Z |
| format | Article |
| id | doaj.art-1395283332bd45c981215ae38b44b441 |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-03-07T21:26:32Z |
| publishDate | 2024-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj.art-1395283332bd45c981215ae38b44b4412024-02-27T04:28:19ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2024-02-011110.3389/fmed.2024.13199801319980Potential marker subset of blood-circulating cytokines on hematopoietic progenitor-to-Th1 pathway in COVID-19Yasuo Takashima0Tohru Inaba1Tasuku Matsuyama2Kengo Yoshii3Masami Tanaka4Kazumichi Matsumoto5Kazuki Sudo6Yuichi Tokuda7Natsue Omi8Masakazu Nakano9Takaaki Nakaya10Naohisa Fujita11Naohisa Fujita12Chie Sotozono13Teiji Sawa14Teiji Sawa15Kei Tashiro16Bon Ohta17Department of Genomic Medical Sciences, Kyoto Prefectural University of Medicine, Kyoto, JapanDepartment of Infection Control and Laboratory Medicine, Kyoto Prefectural University of Medicine, Kyoto, JapanDepartment of Emergency Medicine, Kyoto Prefectural University of Medicine, Kyoto, JapanDepartment of Mathematics and Statistics in Medical Sciences, Kyoto Prefectural University of Medicine, Kyoto, JapanDepartment of Genomic Medical Sciences, Kyoto Prefectural University of Medicine, Kyoto, JapanFaculty of Clinical Laboratory, University Hospital Kyoto Prefectural University of Medicine, Kyoto, JapanDepartment of Anesthesiology, Kyoto Prefectural University of Medicine, Kyoto, JapanDepartment of Genomic Medical Sciences, Kyoto Prefectural University of Medicine, Kyoto, JapanDepartment of Genomic Medical Sciences, Kyoto Prefectural University of Medicine, Kyoto, JapanDepartment of Genomic Medical Sciences, Kyoto Prefectural University of Medicine, Kyoto, JapanDepartment of Infectious Diseases, Kyoto Prefectural University of Medicine, Kyoto, JapanDepartment of Infection Control and Laboratory Medicine, Kyoto Prefectural University of Medicine, Kyoto, JapanKyoto Prefectural Institute of Public Health and Environment, Kyoto, JapanDepartment of Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, JapanDepartment of Anesthesiology, Kyoto Prefectural University of Medicine, Kyoto, Japan0University Hospital Kyoto Prefectural University of Medicine, Kyoto, JapanDepartment of Genomic Medical Sciences, Kyoto Prefectural University of Medicine, Kyoto, JapanDepartment of Emergency Medicine, Kyoto Prefectural University of Medicine, Kyoto, JapanIn this study, we analyzed a relatively large subset of proteins, including 109 kinds of blood-circulating cytokines, and precisely described a cytokine storm in the expression level and the range of fluctuations during hospitalization for COVID-19. Of the proteins analyzed in COVID-19, approximately 70% were detected with Bonferroni-corrected significant differences in comparison with disease severity, clinical outcome, long-term hospitalization, and disease progression and recovery. Specifically, IP-10, sTNF-R1, sTNF-R2, sCD30, sCD163, HGF, SCYB16, IL-16, MIG, SDF-1, and fractalkine were found to be major components of the COVID-19 cytokine storm. Moreover, the 11 cytokines (i.e., SDF-1, SCYB16, sCD30, IL-11, IL-18, IL-8, IFN-γ, TNF-α, sTNF-R2, M-CSF, and I-309) were associated with the infection, mortality, disease progression and recovery, and long-term hospitalization. Increased expression of these cytokines could be explained in sequential pathways from hematopoietic progenitor cell differentiation to Th1-derived hyperinflammation in COVID-19, which might also develop a novel strategy for COVID-19 therapy with recombinant interleukins and anti-chemokine drugs.https://www.frontiersin.org/articles/10.3389/fmed.2024.1319980/fullCOVID-19cytokine stormblood-circulating cytokinecoefficient of variationtimelapse monitoring |
| spellingShingle | Yasuo Takashima Tohru Inaba Tasuku Matsuyama Kengo Yoshii Masami Tanaka Kazumichi Matsumoto Kazuki Sudo Yuichi Tokuda Natsue Omi Masakazu Nakano Takaaki Nakaya Naohisa Fujita Naohisa Fujita Chie Sotozono Teiji Sawa Teiji Sawa Kei Tashiro Bon Ohta Potential marker subset of blood-circulating cytokines on hematopoietic progenitor-to-Th1 pathway in COVID-19 Frontiers in Medicine COVID-19 cytokine storm blood-circulating cytokine coefficient of variation timelapse monitoring |
| title | Potential marker subset of blood-circulating cytokines on hematopoietic progenitor-to-Th1 pathway in COVID-19 |
| title_full | Potential marker subset of blood-circulating cytokines on hematopoietic progenitor-to-Th1 pathway in COVID-19 |
| title_fullStr | Potential marker subset of blood-circulating cytokines on hematopoietic progenitor-to-Th1 pathway in COVID-19 |
| title_full_unstemmed | Potential marker subset of blood-circulating cytokines on hematopoietic progenitor-to-Th1 pathway in COVID-19 |
| title_short | Potential marker subset of blood-circulating cytokines on hematopoietic progenitor-to-Th1 pathway in COVID-19 |
| title_sort | potential marker subset of blood circulating cytokines on hematopoietic progenitor to th1 pathway in covid 19 |
| topic | COVID-19 cytokine storm blood-circulating cytokine coefficient of variation timelapse monitoring |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2024.1319980/full |
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