increased th17/treg ratio in poststroke fatigue

Clicks: 148
ID: 175258
2015
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #277 of 382 articles by views in polyhedron

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 382 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Fatigue is a major debilitating symptom after stroke. The biological mechanisms underlying poststroke fatigue (PFS) are unknown. We hypothesized that PSF is associated with an alteration in the balance between Th17 and Treg cells. To test this hypothesis we assessed fatigue in 30 stroke survivors using the Fatigue Scale for Motor and Cognitive Functions (FSMC). Peripheral blood was collected for assessment of Th17 and Treg cell populations and measurement of interleukin-10 (IL-10). Participants were dichotomized into severe fatigue n=14 and low-moderate fatigue n=16 groups by K-mean cluster analysis of FSMC scores. There were no group differences in age, gender, stroke type, stroke severity, or time since stroke. Stroke survivors in the severe fatigue group reported greater anxiety p=0.004 and depression p=0.001 than in the low-moderate fatigue group. The ratio of Th17 to Treg cells was significantly increased in the severe fatigue group relative to the mild-moderate fatigue group p=0.035. Serum levels of IL-10 negatively correlated withTh17/Treg ratio (r=-0.408,  p=0.025). Our preliminary findings suggest that an imbalance in the Th17/Treg ratio is associated with the severity of PSF.
Reference Key
liu2015mediatorsincreased Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Xinjing Liu;Komal Kenkare;Shanshan Li;Varsha Desai;John Wong;Xun Luo;Lisa J. Wood;Yuming Xu;Qing Mei Wang
Journal polyhedron
Year 2015
DOI
10.1155/2015/931398
URL
http://dx.doi.org/10.1155/2015/931398
Keywords
pathology

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.