Evaluation of the immunomodulatory and antiviral effects of small interfering RNAs Nup98.1 and Nup205.1 in an in vivo influenza model

Evgeny A. Pashkov , Evgeny B. Faizuloev , Danil V. Milchakov , Ruslan E. Lushnikov , Ekaterina A. Bogdanova , Lanita S. Rozhkova , Oxana A. Svitich , Vitaly V. Zverev

Cytokines and inflammation ›› 2024, Vol. 21 ›› Issue (2) : 102 -110.

PDF
Cytokines and inflammation ›› 2024, Vol. 21 ›› Issue (2) : 102 -110. DOI: 10.17816/CI636513
Original Study Articles
other

Evaluation of the immunomodulatory and antiviral effects of small interfering RNAs Nup98.1 and Nup205.1 in an in vivo influenza model

Author information +
History +
PDF

Abstract

BACKGROUND: Influenza remains a significant global public health challenge. Currently, the challenges of viral resistance to existing antiviral drugs and the immunosuppressive effects induced by the influenza virus remain urgent issues. A promising strategy involves developing antiviral agents that inhibit cellular gene activity via RNA interference.

AIM: To evaluate the immunomodulatory and anti-influenza effects of small interfering RNAs targeting cellular genes in a murine model of influenza virus infection.

METHODS: The study utilized the mouse-adapted influenza virus strain A/California/7/09 (H1N1) and BALB/c mice. Small interfering RNA administration and viral infection were performed intranasally. Changes in cytokine profiles and viral replication were assessed using molecular-genetic and virological methods.

RESULTS: Based on the evaluation of cytokine expression dynamics, no statistically significant differences were observed in systemic cytokine levels (blood), except for IL-6, TNF-α, and IL-10, between the experimental and control groups. In the lungs, intranasal administration of all small interfering RNA complexes resulted in decreased IL-1β and TNF-α expression, while IL-1β and IL-6 expression increased in upper respiratory tract lavage samples. The use of small interfering RNAs Nup98.1 and Nup98.1/Nup205.1 led to a significant increase in IL-10 expression in the lungs by day 3, whereas Nup205.1 resulted in a significant increase in IL-10 levels in the upper respiratory tract by the same time point. TGF-β1 expression decreased in the lungs but increased in the blood by day 3 across all small interfering RNA complexes. Significant differences in the expression of pro- and anti-inflammatory cytokines were observed at the local level. The most pronounced immunomodulatory effects were observed in the upper respiratory tract and lungs, the primary sites of small interfering RNA administration. Parallel to these immune profile alterations, viral replication was reduced by 1–2.5 orders of magnitude compared to control groups.

CONCLUSIONS: This study provides evidence that small interfering RNAs targeting one or more cellular genes in an in vivo model can significantly reduce viral replication while modulating cytokine profiles.

Keywords

RNA interference / influenza virus / infection / small interfering RNA / cytokines

Cite this article

Download citation ▾
Evgeny A. Pashkov, Evgeny B. Faizuloev, Danil V. Milchakov, Ruslan E. Lushnikov, Ekaterina A. Bogdanova, Lanita S. Rozhkova, Oxana A. Svitich, Vitaly V. Zverev. Evaluation of the immunomodulatory and antiviral effects of small interfering RNAs Nup98.1 and Nup205.1 in an in vivo influenza model. Cytokines and inflammation, 2024, 21(2): 102-110 DOI:10.17816/CI636513

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Valenzuela-Sánchez F, Valenzuela-Méndez B, Rodríguez-Gutiérrez JF, Estella Á. Latest developments in early diagnosis and specific treatment of severe influenza infection. J Intensive Med. 2023;4(2):160–174. doi: 10.1016/j.jointm.2023.09.006 EDN: XDYOCO

[2]

Zhang Q, Zhang X, Lei X, et al. Influenza A virus NS1 protein hijacks YAP/TAZ to suppress TLR3-mediated innate immune response. PLoS Pathog. 2022;18(5):e1010505. doi: 10.1371/journal.ppat.1010505

[3]

Park HS, Liu G, Thulasi Raman SN, et al. NS1 protein of 2009 pandemic influenza A virus inhibits porcine NLRP3 inflammasome-mediated interleukin-1 beta production by suppressing ASC ubiquitination. J Virol. 2018;92(8):e00022-18. doi: 10.1128/JVI.00022-18

[4]

Hou Y, Wang Y, Chen J, Chen C. Dual roles of tumor necrosis factor superfamily 14 in antiviral immunity. Viral Immunol. 2022;35(9):579–585. doi: 10.1089/vim.2022.0070

[5]

Wang X, Wong K, Ouyang W, Rutz S. Targeting IL-10 family cytokines for the treatment of human diseases. Cold Spring Harb Perspect Biol. 2019;11(2):a028548. doi: 10.1101/cshperspect.a028548

[6]

Cui H, Wang N, Li H, et al. The dynamic shifts of IL-10-producing Th17 and IL-17-producing Treg in health and disease: a crosstalk between ancient “Yin-Yang” theory and modern immunology. Cell Commun Signal. 2024;22(1):99. doi: 10.1186/s12964-024-01505-0 EDN: ILELJR

[7]

Liu Q, Chen G, Moore J, et al. Exploiting canonical TGFβ signaling in cancer treatment. Mol Cancer Ther. 2022;21(1):16–24. doi: 10.1158/1535-7163.MCT-20-0891

[8]

Wong KH, Lal SK. Alternative antiviral approaches to combat influenza A virus. Virus Genes. 2023;59(1):25–35. doi: 10.1007/s11262-022-01935-3 EDN: JAVTVZ

[9]

Pashkov E, Korchevaya E, Faizuloev E, et al. Knockdown of FLT4, Nup98, and Nup205 cellular genes effectively suppresses the reproduction of influenza virus strain A/WSN/1933 (H1N1) in vitro. Infect Disord Drug Targets. 2022;22(5):e250322202629. doi: 10.2174/1871526522666220325121403 EDN: BIMTOK

[10]

Kaushal A. Innate immune regulations and various siRNA modalities. Drug Deliv Transl Res. 2023;13(11):2704–2718. doi: 10.1007/s13346-023-01361-4 EDN: CCRRPJ

[11]

Pashkov E, Momot V, Pak A, et al. Influence of siRNA complexes on the reproduction of influenza A virus (Orthomyxoviridae: Alphainfluenzavirus) in vivo. Vopr Virusol. 2023;68(2):95–104. doi: 10.36233/0507-4088-159 EDN: RHEUQD

[12]

Bień K, Żmigrodzka M, Orłowski P, et al. Involvement of Fas/FasL pathway in the murine model of atopic dermatitis. Inflamm Res. 2017;66(8):679–690. doi: 10.1007/s00011-017-1049-z EDN: UPZREU

[13]

Lin YC, Ku CC, Wuputra K, et al. Vulnerability of antioxidant drug therapies on targeting the Nrf2-Trp53-Jdp2 axis in controlling tumorigenesis. Cells. 2024;13(19):1648. doi: 10.3390/cells13191648 EDN: FSALVE

[14]

Harshitha R, Arunraj DR. Real-time quantitative PCR: A tool for absolute and relative quantification. Biochem Mol Biol Educ. 2021;49(5):800–812. doi: 10.1002/bmb.21552 EDN: CKJOCM

[15]

Hamilton TA, Ohmori Y, Tebo J. Regulation of chemokine expression by antiinflammatory cytokines. Immunol Res. 2002;25(3):229–245. doi: 10.1385/IR:25:3:229 EDN: HDVLYO

[16]

Ramakrishnan MA. Determination of 50% endpoint titer using a simple formula. World J Virol. 2016;5(2):85–86. doi: 10.5501/wjv.v5.i2.85

[17]

Man HSJ, Moosa VA, Singh A, et al. Unlocking the potential of RNA-based therapeutics in the lung: current status and future directions. Front Genet. 2023;14:1281538. doi: 10.3389/fgene.2023.1281538 EDN: RWSUVR

[18]

Hinay AA Jr, Kakee S, Kageyama S, et al. Pro-inflammatory cytokines and interferon-stimulated gene responses induced by seasonal influenza A virus with varying growth capabilities in human lung epithelial cell lines. Vaccines (Basel). 2022;10(9):1507. doi: 10.3390/vaccines10091507 EDN: WMROFZ

[19]

Min J, Ma J, Wang Q, Yu D. Long non-coding RNA SNHG1 promotes bladder cancer progression by upregulating EZH2 and repressing KLF2 transcription. Clinics (Sao Paulo). 2022;77:100081. doi: 10.1016/j.clinsp.2022.100081

[20]

Pak AV, Pashkov EA, Abramova ND, et al. Effect of antiviral siRNAs on the production of cytokines in vitro. Fine Chemical Technologies. 2022;17(5):384–393. doi: 10.32362/2410-6593-2022-17-5-384-393 EDN: MEFLST

RIGHTS & PERMISSIONS

Pashkov E.A., Faizuloev E.B., Milchakov D.V., Lushnikov R.E., Bogdanova E.A., Rozhkova L.S., Svitich O.A., Zverev V.V.

AI Summary AI Mindmap
PDF

58

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/