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DOI 10.1007/s13346-023-01333-8

Медицинская библиотека · Drug delivery and translational research · 2023

Vaccines prevent reinduction of rheumatoid arthritis symptoms in collagen-induced arthritis mouse model.

Thumsi Abhirami, Swaminathan Srivatsan J, Mangal Joslyn L, Suresh Abhirami P, Acharya Abhinav P

СтатьяПоддержка NIH: внешняя программаПоддержка правительства СШАПеревод в очереди

Аннотация

Metabolic reprogramming of immune cells modulates their function and reduces the severity of autoimmune diseases. However, the long-term effects of the metabolically reprogrammed cells, specifically in the case of immune flare-ups, need to be examined. Herein, a re-induction rheumatoid arthritis (RA) mouse model was developed by injecting T-cells from RA mice into drug-treated mice to recapitulate the effects of T-cell-mediated inflammation and mimic immune flare-ups. Immune metabolic modulator paKG(PFK15 + bc2) microparticles (MPs) were shown to reduce clinical symptoms of RA in collagen-induced arthritis (CIA) mice. Upon re-induction, a significant delay in the reappearance of clinical symptoms in the paKG(PFK15 + bc2) microparticle treatment group was observed as compared to equal or higher doses of the clinically utilized U.S. Food and Drug Administration (FDA)-approved drug, Methotrexate (MTX). Furthermore, paKG(PFK15 + bc2) microparticle-treated mice were able to lower activated dendritic cells (DCs) and inflammatory T helper cell 1 (TH1) and increased activated, proliferating regulatory T-cells (Tregs) more effectively than MTX. The paKG(PFK15 + bc2) microparticles also led to a significant reduction in paw inflammation in mice as compared to MTX treatment. This study can pave the way for the development of flare-up mouse models and antigen-specific drug treatments.

Для цитирования: Thumsi Abhirami, Swaminathan Srivatsan J, Mangal Joslyn L, Suresh Abhirami P, Acharya Abhinav P. Vaccines prevent reinduction of rheumatoid arthritis symptoms in collagen-induced arthritis mouse model.. Drug delivery and translational research. 2023. DOI: 10.1007/s13346-023-01333-8.

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