Investigation of TNF receptor coexpression parameters as potential biomarkers of effective hospital therapy with rituximab in patients with rheumatoid arthritis

Abstract

Introduction. One of the main mechanisms regulating the biological action of tumor necrosis factor (TNF) as a key proinflammatory cytokine initiating pathological changes in rheumatoid arthritis (RA) is a change in the coexpression and expression density of specific receptors (TNFR1 and TNFR2). The search and testing of biomarkers associated with the regulation of cytokine activity is necessary to predict response to therapy and develop personalized strategies for managing patients with RA.

The aim of the study was to identify the parameters of expression and coexpression of TNFR1/TNFR2 associated with an insufficient effect after a course of hospital therapy with rituximab in terms of maintaining a long-term low activity of RA.

Material and methods. The study of expression and coexpression parameters of type 1 and type 2 receptors to TNF on immunocompetent cells of patients with RA was carried out by multicolor flow cytometry. Logistic regression analysis was used to identify potential biomarkers in patients with relapse after effective inpatient therapy.

Results. Among the 144 studied parameters of TNFR1/TNFR2 expression, 13 indicators were identified for 4 subpopulations of immunocompetent cells, which can be used as potential predictive biomarkers of long-term maintenance of low disease activity after rituximab therapy. It has been shown that combinations of expression parameters make it possible to calculate the level of response to therapy with greater prognostic significance compared to standard anamnestic, clinical and laboratory parameters. The final model included the percentage of TNFR2+ cells among monocytes [OR 0.861 (0.727 : 0.952), p = 0.023] and the number of TNFR1 on T cells [OR 1.636 (95 % CI 1.174 : 3.262), p = 0.038] with a determination coefficient of 0.52.

Conclusion. Changes in the coexpression profiles of TNF receptors on immunocompetent cells from patients with rheumatoid arthritis are associated with the level of response to therapy and the stability of remission.

Keywords:TNF; TNFR1; TNFR2; receptor expression density; receptor expression level; rheumatoid arthritis

For citation: Alshevskaya A.A., Lopatnikova Yu.A., Zhukova Yu.V., Kireev F.D., Gladkikh V.S., Shkaruba N.S., Chumasova O.A., Sizikov A.E., Sennikov S.V. Investigation of TNF receptor coexpression parameters as potential biomarkers of effective hospital therapy with rituximab in patients with rheumatoid arthritis. 2023; 44 (4): 429–42. DOI: https://doi.org/10.33029/1816-2134-2023-44-4-429-442 (in Russian)

Funding. The work was performed within a state task «The study of expression indicators of cytokine receptors and their ligands in the formation of functional properties and the type of response of cell populations of various genesis in normal and pathological conditions», registration number in USAIS RDTCW 122011800353-4.

Conflict of interests. The authors declare no conflict of interests.

Authors’ contribution. The concept and design of the study – Alshevskaya A.A., Lopatnikova Yu.A., Sennikov S.V.; collection and processing of material – Kireev F.D., Shkaruba N.S., Chumasova O.A., Sizikov A.E.; statistical data processing – Alshevskaya A.A., Zhukova Yu.V., Lopatnikova Yu.A., Gladkikh V.S.; writing the text – Alshevskaya A.A., Zhukova Yu.V., Lopatnikova Yu.A., Gladkikh V.S.; editing – Sennikov S.V., approval of the final version of the article – Sennikov S.V.; responsibility for the integrity of all parts of the article – Alshevskaya A.A.

References

1. Sharma A., Goel A. Pathogenesis of rheumatoid arthritis and its treatment with anti-inflammatory natural products. Mol. Biol. Rep. 2023; 50 (5): 4687–706. DOI: https://doi.org/10.1007/s11033-023-08406-4

2. Li C., Han Y., Luo X., Qian C., Li Y., Su H., Du G. Immunomodulatory nano-preparations for rheumatoid arthritis. Drug Deliv. 2023; 30 (1): 9–19. DOI: https://doi.org/10.1080/10717544.2022.2152136

3. Bhangu G., Hartfeld N.M.S., Lacaille D., Lopatina E., Hoens A.M., Barber M.R.W., Then K.L., Zafar S., Fifi-Mah A., Hazlewood G., Barber C.E.H. A scoping review of shared care models for rheumatoid arthritis with patient-initiated follow-up. Semin. Arthritis Rheum. 2023; 60: 152190. DOI: https://doi.org/10.1016/j.semarthrit.2023.152190

4. Khoo T., Jones B., Chin A., Terrett A., Voshaar M., Hoogland W., March L., Beaton D., Gazel U., Shea B., Tugwell P., Flurey C.A., Proudman S. Defining independence: a scoping review by the OMERACT patient perspective of remission in rheumatoid arthritis group. Semin. Arthritis Rheum. 2023; 58: 152152. DOI: https://doi.org/10.1016/j.semarthrit.2022.152152

5. Messelink M.A., den Broeder A.A., Marinelli F.E., Michgels E., Verschueren P., Aletaha D., Tekstra J., Welsing P.M.J. What is the best target in a treat-to-target strategy in rheumatoid arthritis? Results from a systematic review and meta-regression analysis. RMD Open. 2023; 9 (2): e003196. DOI: https://doi.org/10.1136/rmdopen-2023-003196

6. Tavakolpour S., Alesaeidi S., Darvishi M., GhasemiAdl M., Darabi-Monadi S., Akhlaghdoust M., Elikaei Behjati S., Jafarieh A. A comprehensive review of rituximab therapy in rheumatoid arthritis patients. Clin. Rheumatol. 2019; 38 (11): 2977–94. DOI: https://doi.org/10.1007/s10067-019-04699-8

7. Harrold L.R., Reed G.W., Shewade A., Magner R., Saunders K.C., John A., Kremer J.M., Greenberg J.D. Effectiveness of rituximab for the treatment of rheumatoid arthritis in patients with prior exposure to anti-TNF: results from the CORRONA registry. J. Rheumatol. 2015; 42 (7): 1090–8. DOI: https://doi.org/10.3899/jrheum.141043

8. Patel J.P., Konanur Srinivasa N.K., Gande A., Anusha M., Dar H., Baji D.B. The role of biologics in rheumatoid arthritis: a narrative review. Cureus. 2023; 15 (1): e33293. DOI: https://doi.org/10.7759/cureus.33293

9. Khader Y., Beran A., Ghazaleh S., Lee-Smith W., Altorok N. Predictors of remission in rheumatoid arthritis patients treated with biologics: a systematic review and meta-analysis. Clin. Rheumatol. 2022; 41 (12): 3615–27. DOI: https://doi.org/10.1007/s10067-022-06307-8

10. Lequerré T., Rottenberg P., Derambure C., Cosette P., Vittecoq O. Predictors of treatment response in rheumatoid arthritis. Joint Bone Spine. 2019; 86 (2): 151–8. DOI: https://doi.org/10.1016/j.jbspin.2018.03.018

11. Abdelhafiz D., Baker T., Glascow D.A., Abdelhafiz A. Biomarkers for the diagnosis and treatment of rheumatoid arthritis – a systematic review. Postgrad. Med. 2023; 135 (3): 214–23. DOI: https://doi.org/10.1080/00325481.2022.2052626

12. Atzeni F., Talotta R., Masala I.F., Bongiovanni S., Boccassini L., Sarzi-Puttini P. Biomarkers in rheumatoid arthritis. Isr. Med. Assoc. J. 2017; 19 (8): 512–6.

13. Lin Y.J., Anzaghe M., Schülke S. Update on the pathomechanism, diagnosis, and treatment options for rheumatoid arthritis. Cells. 2020; 9 (4): 880. DOI: https://doi.org/10.3390/cells9040880

14. Gough P., Myles I.A. Tumor necrosis factor receptors: pleiotropic signaling complexes and their differential effects. Front. Immunol. 2020; 11: 585880. DOI: https://doi.org/10.3389/fimmu.2020.585880

15. Wajant H., Siegmund D. TNFR1 and TNFR2 in the control of the life and death balance of macrophages. Front. Cell Dev. Biol. 2019; 7: 91. DOI: https://doi.org/10.3389/fcell.2019.00091

16. Alshevskaya A., Lopatnikova J., Zhukova J., Chumasova O., Shkaruba N., Sizikov A., Evsegneeva I., Gladkikh V., Karaulov A., Sennikov S.V. Co-expression profile of TNF membrane-bound receptors type 1 and 2 in rheumatoid arthritis on immunocompetent cells subsets. Int. J. Mol. Sci. 2019; 21 (1): 288. DOI: https://doi.org/10.3390/ijms21010288

17. Kalliolias G.D., Ivashkiv L.B. TNF biology, pathogenic mechanisms and emerging therapeutic strategies. Nat. Rev. Rheumatol. 2016; 12 (1): 49–62. DOI: https://doi.org/10.1038/nrrheum.2015.169

18. Yu H., Lin L., Zhang Z., Zhang H., Hu H. Targeting NF-κB pathway for the therapy of diseases: mechanism and clinical study. Signal Transduct. Target. Ther. 2020; 5 (1): 209. DOI: https://doi.org/10.1038/s41392-020-00312-6

19. Atretkhany K.N., Gogoleva V.S., Drutskaya M.S., Nedospasov S.A. Distinct modes of TNF signaling through its two receptors in health and disease. J. Leukoc. Biol. 2020; 107 (6): 893–905. DOI: https://doi.org/10.1002/JLB.2MR0120-510R

20. Jung S.M., Kim W.U. Targeted immunotherapy for autoimmune disease. Immune Netw. 2022; 22 (1): e9. DOI: https://doi.org/10.4110/in.2022.22.e9

21. Zhdanova E.V., Kostolomova E.G., Volkova D.E., Zykov A.V. Сellular composition and cytokine profile of synovial fluid in rheumatoid arthritis. Meditsinskaya immunologiya. 2022; 24 (5): 1017–26. DOI: https://doi.org/10.15789/1563-0625-CCA-2520 (in Russian)

22. Kolarz B., Podgorska D., Podgorski R. Insights of rheumatoid arthritis biomarkers. Biomarkers. 2021; 26 (3): 185–95. DOI: https://doi.org/10.1080/1354750X.2020.1794043

23. Janahiraman S., Too C.L., Lee K.W., Shahril N.S., Leong C.O. Genetic biomarkers as predictors of response to tocilizumab in rheumatoid arthritis: a systematic review and meta-analysis. Genes (Basel). 2022; 13 (7): 1284. DOI: https://doi.org/10.3390/genes13071284

24. Shevchenko A.V., Konenkov V.I., Prokof’ev V.F., Korolev M.A., Omel’chenko V.O. Combinations of polymorphism in vascular endothelial growth factor gene and genes of it receptors (VEGF/VEGFR) at development of cardiovascular risk in rheumatoid arthritis patients. Immunologiya. 2019; 41 (3): 206–14. DOI: https://doi.org/10.33029/0206-4952-2020-41-3-206-214 (in Russian)

25. Daraghmeh D.N., King C., Wiese M.D. A review of liquid biopsy as a tool to assess epigenetic, cfDNA and miRNA variability as methotrexate response predictors in patients with rheumatoid arthritis. Pharmacol. Res. 2021; 173: 105887. DOI: https://doi.org/10.1016/j.phrs.2021.105887 Epub 2021 Sep 16. PMID: 34536550.

26. Mena-Vázquez N., Godoy-Navarrete F.J., Lisbona-Montañez J.M., Redondo-Rodriguez R., Manrique-Arija S., Rioja J., Mucientes A., Ruiz-Limón P., Garcia-Studer A., Ortiz-Márquez F., Oliver-Martos B., Cano-García L., Fernández-Nebro A. Inflammatory biomarkers in the diagnosis and prognosis of rheumatoid arthritis-associated interstitial lung disease. Int. J. Mol. Sci. 2023; 24 (7): 6800. DOI: https://doi.org/10.3390/ijms24076800

27. Lushova A.A., Zheremyan E.A., Astakhova E.A., Spiridonova A.B., Byazrova M.G., Filatov A.V. B-lymphocyte subsets: functions and molecular markers. Immunologiya. 2019; 40 (6): 63–76. DOI: https://www.doi.org/10.24411/0206-4952-2019-16009 (in Russian)

28. Sennikov S.V., Alshevskaya A.A., Zhukova J., Belomestnova I., Karaulov A.V., Lopatnikova J.A. Expression density of receptors as a potent regulator of cell function and property in health and pathology. Int. Arch. Allergy Immunol. 2019; 178 (2): 182–91. DOI: https://doi.org/10.1159/000494387

29. Takeuchi T., Miyasaka N., Inui T., Yano T., Yoshinari T., Abe T., Koike T. High titers of both rheumatoid factor and anti-CCP antibodies at baseline in patients with rheumatoid arthritis are associated with increased circulating baseline TNF level, low drug levels, and reduced clinical responses: a post hoc analysis of the RISING study. Arthritis Res. Ther. 2017; 19 (1): 194. DOI: https://doi.org/10.1186/s13075-017-1401-2

30. Nguyen M.V.C., Courtier A., Adrait A., Defendi F., Couté Y., Baillet A., Guigue L., Gottenberg J.E., Dumestre-Pérard C., Brun V., Gaudin P. Fetuin-A and thyroxin binding globulin predict rituximab response in rheumatoid arthritis patients with insufficient response to anti-TNFα. Clin. Rheumatol. 2020; 39 (9): 2553–62. DOI: https://doi.org/10.1007/s10067-020-05030-6

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