リケラボ論文検索は、全国の大学リポジトリにある学位論文・教授論文を一括検索できる論文検索サービスです。

リケラボ 全国の大学リポジトリにある学位論文・教授論文を一括検索するならリケラボ論文検索大学・研究所にある論文を検索できる

リケラボ 全国の大学リポジトリにある学位論文・教授論文を一括検索するならリケラボ論文検索大学・研究所にある論文を検索できる

大学・研究所にある論文を検索できる 「Cellular immunity reflects the persistent symptoms among COVID-19 recovered patients in Japan」の論文概要。リケラボ論文検索は、全国の大学リポジトリにある学位論文・教授論文を一括検索できる論文検索サービスです。

コピーが完了しました

URLをコピーしました

論文の公開元へ論文の公開元へ
書き出し

Cellular immunity reflects the persistent symptoms among COVID-19 recovered patients in Japan

Miyata, Yoshiharu Suzuki, Kohjin Nagano, Tatsuya Iida, Keiji Hasegawa, Takehiro Uga, Hitoshi Matsuoka, Hiroshi 神戸大学

2023.07.08

概要

Coronavirus disease (COVID-19) often causes persistent symptoms long after infection, referred to as “long COVID” or post-acute COVID-19 syndrome (PACS). This phenomenon has been studied primarily concerning B-cell immunity, while the involvement of T-cell immunity is still unclear. This retrospective study aimed to examine the relationship among the number of symptoms, cytokine levels, and the Enzyme-linked immunosorbent spot (ELISPOT) assay data in patients with COVID-19. To examine inflammatory conditions, plasma interleukin (IL)-6, IL-10, IL-18, chemokine ligand 9 (CXCL9), chemokine ligand 3 (CCL3), and vascular endothelial growth factor (VEGF) levels were analyzed using plasma obtained from COVID-19 recovery patients and healthy controls (HC). These levels were significantly higher in the COVID-19 group than those in the HC group. ELISPOT assays were performed to investigate the correlation between COVID-19 persistent symptoms and T-cell immunity. Cluster analysis of ELISPOT categorized COVID-19 recovery patients in the ELISPOT-high and -low groups, based on the values of S1, S2, and N. The number of persistent symptoms was significantly higher in the ELISPOT-low group than those in the ELISPOT-high group. Thus, T cell immunity is critical for the rapid elimination of COVID-19 persistent symptoms, and its measurement immediately after COVID-19 recovery might predict long-term COVID-19 or PACS.

この論文で使われている画像

関連論文

参考文献

1. Carfì, A., Bernabei, R., Landi, F., Gemelli Against COVID-19 Post-Acute Care Study Group. Persistent symptoms in patients after

acute COVID-19. JAMA 324, 603–605 (2020).

2. Huang, C. et al. 6-month consequences of COVID-19 in patients discharged from hospital: A cohort study. Lancet 397, 220–232

(2021).

3. Davis, H. E. et al. Characterizing long COVID in an international cohort: 7 months of symptoms and their impact. EClinicalmedicine 38, 101019 (2021).

4. Proal, A. D. & VanElzakker, M. B. Long COVID or post-acute sequelae of COVID-19 (PASC): An overview of biological factors

that may contribute to persistent symptoms. Front. Microbiol. 12, 698169 (2021).

5. Files, J. K. et al. Duration of post–COVID-19 symptoms is associated with sustained SARS-CoV-2– specific immune responses.

JCI Insight https://​doi.​org/​10.​1172/​jci.​insig​ht.​151544 (2021).

6. Goletti, D. et al. The potential clinical utility of measuring severe acute respiratory syndrome coronavirus 2-specific T-cell responses.

Clin. Microbiol. Infect. 27, 1784–1789 (2021).

7. Murugesan, K. et al. Interferon-γ release assay for accurate detection of severe acute respiratory syndrome coronavirus 2 T-cell

response. Clin. Infect. Dis. 73, e3130–e3132 (2021).

8. Altmann, D. M. & Boyton, R. J. SARS-CoV-2 T cell immunity: Specificity, function, durability, and role in protection. Sci. Immunol.

5(49), eabd6160 (2020).

9. Mohammad, M. H. S. Immune response scenario and vaccine development for SARS-Cov-2 infection. Int. Immunopharmacol.

94, 107439 (2021).

10. Calarota, S. A. & Baldanti, F. Enumeration and characterization of human memory t cells by enzyme-linked immunospot assays.

Clin. Dev. Immunol. 2013, 1–8 (2013).

Scientific Reports |

Vol:.(1234567890)

(2023) 13:11071 |

https://doi.org/10.1038/s41598-023-35505-w

10

www.nature.com/scientificreports/

11. Scherlinger, M. et al. Refining “long-COVID” by a prospective multimodal evaluation of patients with long-term symptoms

attributed to SARS-CoV-2 infection. Infect. Dis. Ther. 10, 1747–1763 (2021).

12. Peng, Y. et al. Broad and strong memory CD4+ and CD8+ T cells induced by SARS-CoV-2 in UK convalescent individuals following COVID-19. Nat. Immunol. 21, 1336–1345 (2020).

13. Guo, L. et al. SARS-CoV-2-specific antibody and T-cell responses 1 year after infection in people recovered from COVID-19: A

longitudinal cohort study. Lancet Microbe 3, e348–e356 (2022).

14. Sumi, T. & Harada, K. Immune response to SARS-CoV-2 in severe disease and long COVID-19. iScience 25, 104723 (2022).

15. Hasegawa, T. et al. Type 1 inflammatory endotype relates to low compliance, lung fibrosis, and severe complications in COVID-19.

Cytokine 148, 155618 (2021).

16. Motomura, Y. et al. The transcription factor E4BP4 regulates the production of IL-10 and IL-13 in CD4+ T cells. Nat. Immunol.

12, 450–459 (2011).

17. Zlotnik, A. & Yoshie, O. The chemokine superfamily revisited. Immunity 36, 705–716 (2012).

18. Sallusto, F. & Lanzavecchia, A. Understanding dendritic cell and T-lymphocyte traffic through the analysis of chemokine receptor

expression. Immunol. Rev. 177, 134–140 (2000).

19. Barratt, S. L., Flower, V. A., Pauling, J. D. & Millar, A. B. VEGF (vascular endothelial growth factor) and fibrotic lung disease. Int.

J. Mol. Sci. 19, 1269 (2018).

20. Kato, H. et al. Vaccine-induced humoral response against SARS-CoV-2 dramatically declined but cellular immunity possibly

remained at 6 months post BNT162b2 vaccination. Vaccine 40, 2652–2655 (2022).

21. Shirato, K. et al. Development of genetic diagnostic methods for detection for novel coronavirus 2019(nCoV-2019) in Japan. Jpn.

J. Infect. Dis. 73, 304–307 (2020).

22. COVID-19 Treatment Guidelines Panel. Coronavirus Disease 2019 (COVID-19) Treatment Guidelines. National Institutes of

Health. https://​www.​covid​19tre​atmen​tguid​elines.​nih.​gov/ (Accessed 23 November 2022).

23. Noda, K. et al. A novel highly quantitative and reproducible assay for the detection of anti-SARS-CoV-2 IgG and IgM antibodies.

Sci. Rep. 11, 5198 (2021).

24. Kanda, Y. Investigation of the freely available easy-to-use software “EZR” for medical statistics. Bone Marrow Transplant. 48,

452–458 (2013).

Acknowledgements

We express our sincere gratitude to Sayaka Nakamura and Ruri Kono of the Kobe University BioResource Center

for their support in this research, and express our sincere gratitude to Toyoko Katayama of Sysmex corporation for her technical support. We also express our sincere gratitude to the medical staff of Hyogo Prefectural

Kakogawa Medical Center for their cooperation in this study during the challenging task of treating patients

with COVID-19.

Author contributions

The following authors contributed equally: Y.M., K.S. and T.N. Preparation of Clinical Research Plan: Y.M.,

T.H., H.U and H.M. Obtaining consent from patients and collecting clinical sample and information: Y.M.,

T.N. and K.I. Performing basic experiments and data analysis: K.S., H.U. Writing drafts of article: Y.M. and K.S.

Supervision: K.I., H.U. and H.M. All authors agreed to the submitted version of the manuscript. Corresponding

author: H.M.

Competing interests Research funding for this study was provided by Sysmex Corporation. K.S., T.H, and H.U. are employees of

Sysmex Corporation. The other authors declare no potential conflict of interest.

Additional information

Supplementary Information The online version contains supplementary material available at https://​doi.​org/​

10.​1038/​s41598-​023-​35505-w.

Correspondence and requests for materials should be addressed to H.M.

Reprints and permissions information is available at www.nature.com/reprints.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and

institutional affiliations.

Open Access This article is licensed under a Creative Commons Attribution 4.0 International

License, which permits use, sharing, adaptation, distribution and reproduction in any medium or

format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the

Creative Commons licence, and indicate if changes were made. The images or other third party material in this

article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the

material. If material is not included in the article’s Creative Commons licence and your intended use is not

permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from

the copyright holder. To view a copy of this licence, visit http://​creat​iveco​mmons.​org/​licen​ses/​by/4.​0/.

© The Author(s) 2023

Scientific Reports |

(2023) 13:11071 |

https://doi.org/10.1038/s41598-023-35505-w

11

Vol.:(0123456789)

...

参考文献をもっと見る

全国の大学の
卒論・修論・学位論文

一発検索!

この論文の関連論文を見る