Cytokine signature and COVID-19 prediction models in the two waves of pandemics.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
21 10 2021
21 10 2021
Historique:
received:
17
02
2021
accepted:
05
10
2021
entrez:
22
10
2021
pubmed:
23
10
2021
medline:
16
11
2021
Statut:
epublish
Résumé
In Europe, multiple waves of infections with SARS-CoV-2 (COVID-19) have been observed. Here, we have investigated whether common patterns of cytokines could be detected in individuals with mild and severe forms of COVID-19 in two pandemic waves, and whether machine learning approach could be useful to identify the best predictors. An increasing trend of multiple cytokines was observed in patients with mild or severe/critical symptoms of COVID-19, compared with healthy volunteers. Linear Discriminant Analysis (LDA) clearly recognized the three groups based on cytokine patterns. Classification and Regression Tree (CART) further indicated that IL-6 discriminated controls and COVID-19 patients, whilst IL-8 defined disease severity. During the second wave of pandemics, a less intense cytokine storm was observed, as compared with the first. IL-6 was the most robust predictor of infection and discriminated moderate COVID-19 patients from healthy controls, regardless of epidemic peak curve. Thus, serum cytokine patterns provide biomarkers useful for COVID-19 diagnosis and prognosis. Further definition of individual cytokines may allow to envision novel therapeutic options and pave the way to set up innovative diagnostic tools.
Identifiants
pubmed: 34675240
doi: 10.1038/s41598-021-00190-0
pii: 10.1038/s41598-021-00190-0
pmc: PMC8531346
doi:
Substances chimiques
Biomarkers
0
Cytokines
0
Interleukin-6
0
Interleukin-8
0
Types de publication
Journal Article
Multicenter Study
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
20793Subventions
Organisme : Università degli Studi di Napoli Federico II
ID : STAR
Organisme : Regione Campania
ID : COEPICA, RARE-PLATNET, SATIN
Organisme : Regione Campania
ID : COEPICA, RARE-PLATNET, SATIN
Organisme : Associazione Italiana per la Ricerca sul Cancro
ID : IG-19001
Informations de copyright
© 2021. The Author(s).
Références
PLoS One. 2013 Jul 04;8(7):e67687
pubmed: 23861782
JAMA. 2020 Feb 25;323(8):709-710
pubmed: 31999307
J Leukoc Biol. 2020 Jul;108(1):17-41
pubmed: 32534467
J Infect. 2021 Apr;82(4):84-123
pubmed: 33152376
Oncotarget. 2017 Nov 20;8(65):109000-109017
pubmed: 29312586
Nat Rev Immunol. 2020 May;20(5):271-272
pubmed: 32296135
Front Physiol. 2020 Feb 05;11:42
pubmed: 32116755
Nat Med. 2020 Oct;26(10):1623-1635
pubmed: 32807934
Crit Care. 2021 Jan 4;25(1):3
pubmed: 33397421
Nat Med. 2020 Nov;26(11):1701-1707
pubmed: 32812012
Nature. 2020 Aug;584(7821):463-469
pubmed: 32717743
Nat Rev Immunol. 2020 Jun;20(6):363-374
pubmed: 32346093
Biomed Res Int. 2014;2014:893106
pubmed: 24868552
Int J Inflam. 2017;2017:4309485
pubmed: 28487810
Caspian J Intern Med. 2020 Fall;11(Suppl 1):544-550
pubmed: 33425273
Platelets. 2018 Jul;29(5):463-467
pubmed: 28635382
N Engl J Med. 2020 Apr 30;382(18):1708-1720
pubmed: 32109013
J Clin Immunol. 2021 May;41(4):738-747
pubmed: 33459964
Clin Infect Dis. 2020 Nov 5;71(8):1937-1942
pubmed: 32301997
Science. 2020 May 1;368(6490):473-474
pubmed: 32303591
Lancet. 2020 Feb 15;395(10223):497-506
pubmed: 31986264
J Med Virol. 2020 Nov;92(11):2283-2285
pubmed: 32343429
Front Immunol. 2020 Sep 24;11:558898
pubmed: 33072097
Nat Med. 2020 Oct;26(10):1636-1643
pubmed: 32839624
Front Immunol. 2020 Jul 10;11:1648
pubmed: 32754159
J Clin Invest. 1989 Oct;84(4):1045-9
pubmed: 2677047
J Clin Med. 2020 Oct 28;9(11):
pubmed: 33126772
JCI Insight. 2020 Jul 9;5(13):
pubmed: 32501293
Aging Clin Exp Res. 2021 Jan;33(1):193-199
pubmed: 33345291