• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Front Immunol . Cytokine Elevation in Severe COVID-19 From Longitudinal Proteomics Analysis: Comparison With Sepsis

tetano

Editor, Senior Moderator
Front Immunol


. 2022 Jan 12;12:798338.
doi: 10.3389/fimmu.2021.798338. eCollection 2021.
Cytokine Elevation in Severe COVID-19 From Longitudinal Proteomics Analysis: Comparison With Sepsis


Takeshi Ebihara[SUP] 1 [/SUP], Hisatake Matsumoto[SUP] 1 [/SUP], Tsunehiro Matsubara[SUP] 1 [/SUP], Yuki Togami[SUP] 1 [/SUP], Shunichiro Nakao[SUP] 1 [/SUP], Hiroshi Matsuura[SUP] 1 2 [/SUP], Takashi Kojima[SUP] 3 [/SUP], Fuminori Sugihara[SUP] 4 [/SUP], Daisuke Okuzaki[SUP] 5 [/SUP], Haruhiko Hirata[SUP] 6 [/SUP], Hitoshi Yamamura[SUP] 2 [/SUP], Hiroshi Ogura[SUP] 1 [/SUP]



Affiliations

Abstract

Introduction: Coronavirus disease 2019 (COVID-19) is a new viral disease. Uncontrolled inflammation called "cytokine storm" is reported to contribute to disease pathogenesis as well as sepsis. We aimed to identify cytokines related to the pathogenesis of COVID-19 through a proteomics analysis of 1463 plasma proteins, validate these cytokines, and compare them with sepsis.
Materials and methods: In a derivation cohort of 306 patients with COVID-19, 1463 unique plasma proteins were measured on days 1, 4, and 8. Cytokines associated with disease severity and prognosis were derived. In a validation cohort of 62 COVID-19 patients and 38 sepsis patients treated in the intensive care unit [ICU], these derived cytokines were measured on days 1 (day of ICU admission), 2-3, and 6-8 (maximum: 3 time points/patient). Derived cytokines were compared with healthy controls and between COVID-19 and sepsis patients, and the associations with prognosis were evaluated. The time to wean off mechanical ventilation (MV) was evaluated only for COVID-19.
Results: IL-6, amphiregulin, and growth differentiation factor (GDF)-15 were associated with disease severity and prognosis in the derivation cohort. In the validation cohort, IL-6 and GDF-15 were elevated in COVID-19 and sepsis on day 1, and the levels of these cytokines were higher in sepsis than in COVID-19. IL-6 and GDF-15 were associated with prognosis in sepsis. Cox proportional hazards model with time as a dependent covariate showed a significant relationship between plasma GDF-15 level and time to wean off MV (hazard ratio, 0.549 [95% confidence level, 0.382-0.789]). The GDF-15 level at ICU admission predicted late recovery.
Conclusion: GDF-15 and IL-6 derived from proteomics analysis were related with disease severity of COVID-19. Their values were higher in sepsis than in COVID-19 and were associated with prognosis in sepsis. In COVID-19 patients treated in the ICU, GDF-15 was associated with the time to wean off MV and better predicted late recovery.

Keywords: COVID-19; GDF-15; IL-6; biomarkers; cytokines; mechanical ventilation.
 
Back
Top Bottom