

Cytokines in predicting JAK inhibitors clinical efficacy for COVID-19
https://doi.org/10.33667/2078-5631-2023-23-7-10
Abstract
Janus kinases inhibitors (JAKi) have an immunosuppressive effect due to the normalization of levels of proinflammatory cytokines, are used in the treatment of cytokine storm in COVID-19. This fact makes it necessary to search a predictor of an efficacy of this small-molecules.
The aim of the study. To evaluate the possibility of using cytokines in predicting the efficacy of JAKi in COVID-19.
Materials and methods. We examined 86 patients with COVID-19: 50 men and 36 women. The age was 57,0; (50,0–65,0) years. The SARS-CoV-2 presence was confirmed by PCR. The control group consisted of 30 healthy donors matched by sex and age. The criterion for the efficacy of JAKi was recovery, in efficacy – switching to another drug, or death. The serum concentration of IL-1β, –6, –8, –17, TNF-α and GM–CSF by ELISA was estimates using Invitrogen test-systems (USA), according to the manufacturer’s instructions.
Results. In COVID-19 patients who received baricitinib (BTC), compared with healthy individuals, basal (before JAKi starting) IL-6, TNF-α serum concentrations were increased; tofacitinib (TFT) – IL-6, ruxilitinib (RLT) – IL-6 and TNF-α. A decrease of IL-1β and GM–CSF serum concentration was noted before the start of TFT and RLT. Basal concentrations of IL-6 and TNF-α are most statistically strongly associated with the diagnosis COVID-19. After 5 days of treatment with BTC, there was an increase in IL-8 level compared to the basal, a decrease in the GM–CSF concentration and a slight increase IL-6 concentration relative to healthy donors (p < 0.05 in all cases). Basal concentration of IL-17 (more than 13.9 pg/ml) indicated the possibility of successful RLT treatment (area under the ROC-curve = 0.99; AP = 99 %; DS = 80 %; OP+ = 5.0; OP– = 0.2; CI: 0.9–1.0).
Conclusions. Basal serum concentration of cytokines may predict JAKi efficacy in COVID-19 patients.
About the Authors
A. A. NovikovRussian Federation
Alexander A. Novikov, DBio Sci (habil.), leading researcher, associate professor
Clinical Immunology Laboratory
Faculty of postgraduate education
Clinical Laboratory Diagnostics Dept.
Moscow
E. N. Aleksandrova
Russian Federation
DM Sci (habil.), Head of laboratory
Clinical immunology laboratory
Moscow
G. E. Bajmakanova
Russian Federation
DM Sci (habil.), head of Dept
Pulmonology Dept
Moscow
G. V. Lukina
Russian Federation
DM Sci (habil.), professor, head of Dept
Rheumatology Dept
Moscow
N. A. Bodunova
Russian Federation
PhD Sci (habil.), head of PhD Sci (habil.), head of Dept
Personalized Medicine Dept
Moscow
V. I. Vechorko
Russian Federation
DM Sci (habil.), chief physician
Moscow
O. V. Averkov
Russian Federation
DM Sci (habil.), professor, deputy chief physician, head of Centre
Regional Vascular Centre
Moscow
S. N. Shcherbo
Russian Federation
DBio Sci (habil.), professor, head of Dept
Faculty of Postgraduate Education
Clinical Laboratory Diagnostics Dept
Moscow
M. I. Savina
Russian Federation
DBio Sci (habil.), professor
Faculty of Postgraduate Education
Clinical Laboratory Diagnostics Dept
Moscow
T. I. Turkina
Russian Federation
DBio Sci (habil.), professor
Faculty of Postgraduate Education
Clinical Laboratory Diagnostics Dept.
Moscow
I. E. Khatkov
Russian Federation
DM Sci (habil.), member of Russian Academy of Sciences, professor, director
Moscow
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Review
For citations:
Novikov A.A., Aleksandrova E.N., Bajmakanova G.E., Lukina G.V., Bodunova N.A., Vechorko V.I., Averkov O.V., Shcherbo S.N., Savina M.I., Turkina T.I., Khatkov I.E. Cytokines in predicting JAK inhibitors clinical efficacy for COVID-19. Modern Laboratory (2). 2023;(23):7-10. (In Russ.) https://doi.org/10.33667/2078-5631-2023-23-7-10