Back

Analysis of IL-4 Levels, IL-1a, Cortisol Hormone, and Blood Cell Number in Parkinsons Disease Patients Undergoing Dance-based Movement Therapy: A Preliminary Study.

Marques, K. A. P.; Bahia, G. M. d. C.; Duarte, J. d. S.; Pinto, D. d. S.; Martins Filho, A. J. J.; Batista, E. d. J. O.; Oliveira da Silva, A. M. H.; Matos Oliveira, K. R. H.; Krejcova, L. V.; Bahia, C. P.

2024-09-23 neurology
10.1101/2024.09.21.24314141 medRxiv
Show abstract

IntroductionThe interplay between neuroinflammation and Parkinsons disease (PD) is still unclear, although several studies suggest that neuroinflammation plays an important role in the pathophysiological pathways of neurodegenerative disorders. Dance-based movement therapy has been studied as an adjuvant treatment for PD symptoms by modulating some inflammatory interleukins and improving the overall effect of pharmacological treatments. ObjectiveTo evaluate the levels of Interleukin 4, Interleukin 1, cortisol hormone, and blood cell total numbers in PD subjects undergoing dance-based movement therapy. MethodsTwenty-five participants were selected for this study. Seventeen subjects diagnosed with PD were divided into two groups: PD group (n=8) and PD+dance group (n=9). Another group was composed of age-matched healthy controls (n=8). The dance-based movement therapy was performed twice a week for 50-60 minutes/session over six months. ResultsThe serum IL-4 levels were significantly lower in the PD group when compared to the healthy group, while the PD+Dance group showed similar levels to the healthy group. The levels of IL-1, cortisol, and blood cell count showed no statistical differences between groups. ConclusionOur results suggest that regular practice of dance-based movement therapy may induce a neuroprotective effect by modulating the levels of IL-4 in people with PD similarly to healthy participants. Trial registrationThe study was registered in the Brazilian registry of clinical trials: RBR-3bhbrb5.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.