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Sleep Disturbances are a Significant Predictor of Chikungunya Arthritis Flare Severity
OBJECTIVE: The primary objective of this research was to explore the link between sleep and flare pain associated with chikungunya virus (CHIKV) infection. The secondary objective was to investigate if cytokines and T regulatory (Treg) cells have an influence on this relationship. METHODS: A cross-s...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315573/ https://www.ncbi.nlm.nih.gov/pubmed/34322686 http://dx.doi.org/10.33696/immunology.3.098 |
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author | Tritsch, Sarah R. Amdur, Richard Encinales, Liliana Cadena, Andres Fierbaugh, Paige Avendaño, Geraldine Gomez, Carlos Andres Herrera Suchowiecki, Karol Mendoza-Torres, Evelyn Rosales, Wendy Jimenez, Dennys Hernandez, Carlos Alberto Perez Hernandez, Alfonso Sucerquia Silvera, Paula Bruges Crespo, Yerlenis Galvis Jimenez, Alberto David Cabana Zapata, Jennifer Carolina Martinez Mores, Christopher N. Firestein, Gary S. Simon, Gary Chang, Aileen Y. |
author_facet | Tritsch, Sarah R. Amdur, Richard Encinales, Liliana Cadena, Andres Fierbaugh, Paige Avendaño, Geraldine Gomez, Carlos Andres Herrera Suchowiecki, Karol Mendoza-Torres, Evelyn Rosales, Wendy Jimenez, Dennys Hernandez, Carlos Alberto Perez Hernandez, Alfonso Sucerquia Silvera, Paula Bruges Crespo, Yerlenis Galvis Jimenez, Alberto David Cabana Zapata, Jennifer Carolina Martinez Mores, Christopher N. Firestein, Gary S. Simon, Gary Chang, Aileen Y. |
author_sort | Tritsch, Sarah R. |
collection | PubMed |
description | OBJECTIVE: The primary objective of this research was to explore the link between sleep and flare pain associated with chikungunya virus (CHIKV) infection. The secondary objective was to investigate if cytokines and T regulatory (Treg) cells have an influence on this relationship. METHODS: A cross-sectional study was performed using data collected in Barranquilla, Colombia, which enrolled patients with and without chronic arthritis with a history of chikungunya infection. Flare severity was measured by a version of the Outcome Measures in Rheumatoid Arthritis Clinical Trials (OMERACT) flare questionnaire adapted for CHIKV arthritis, including metrics for pain, difficulty with physical activity, fatigue, stiffness and difficulty maintaining social activities due to arthritis that contribute to flare severity. In addition, four sleep disturbance items, five inflammatory cytokine levels, four anti-inflammatory cytokine levels, and six Treg levels were measured. Then, multivariable linear regression models were used to test the direct and indirect effects of flare-pain on sleep disturbance, and to determine whether this relationship was mediated by cytokines or Tregs. Finally, the SAS CALIS procedure was used to test path models showing possible causal effects with mediators and confounds. RESULTS: The analysis showed that sleep disturbance is positively correlated with CHIKV arthritis flare pain, and that it is a significant predictor of flare severity after adjusting for demographic variables, cytokine, and T cell levels. Further, neither T cells nor cytokines mediate the pain/sleep relationship in CHIKV arthritis. CONCLUSION: There is a strong association between sleep disturbance and arthritis flare pain and severity; however, this relationship is not mediated by cytokines or T cells. Since this study is unable to determine causation, further research is needed to determine the mechanism underlying the relationship between sleep disturbances and CHIKV arthritis flares. |
format | Online Article Text |
id | pubmed-8315573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-83155732021-07-27 Sleep Disturbances are a Significant Predictor of Chikungunya Arthritis Flare Severity Tritsch, Sarah R. Amdur, Richard Encinales, Liliana Cadena, Andres Fierbaugh, Paige Avendaño, Geraldine Gomez, Carlos Andres Herrera Suchowiecki, Karol Mendoza-Torres, Evelyn Rosales, Wendy Jimenez, Dennys Hernandez, Carlos Alberto Perez Hernandez, Alfonso Sucerquia Silvera, Paula Bruges Crespo, Yerlenis Galvis Jimenez, Alberto David Cabana Zapata, Jennifer Carolina Martinez Mores, Christopher N. Firestein, Gary S. Simon, Gary Chang, Aileen Y. J Cell Immunol Article OBJECTIVE: The primary objective of this research was to explore the link between sleep and flare pain associated with chikungunya virus (CHIKV) infection. The secondary objective was to investigate if cytokines and T regulatory (Treg) cells have an influence on this relationship. METHODS: A cross-sectional study was performed using data collected in Barranquilla, Colombia, which enrolled patients with and without chronic arthritis with a history of chikungunya infection. Flare severity was measured by a version of the Outcome Measures in Rheumatoid Arthritis Clinical Trials (OMERACT) flare questionnaire adapted for CHIKV arthritis, including metrics for pain, difficulty with physical activity, fatigue, stiffness and difficulty maintaining social activities due to arthritis that contribute to flare severity. In addition, four sleep disturbance items, five inflammatory cytokine levels, four anti-inflammatory cytokine levels, and six Treg levels were measured. Then, multivariable linear regression models were used to test the direct and indirect effects of flare-pain on sleep disturbance, and to determine whether this relationship was mediated by cytokines or Tregs. Finally, the SAS CALIS procedure was used to test path models showing possible causal effects with mediators and confounds. RESULTS: The analysis showed that sleep disturbance is positively correlated with CHIKV arthritis flare pain, and that it is a significant predictor of flare severity after adjusting for demographic variables, cytokine, and T cell levels. Further, neither T cells nor cytokines mediate the pain/sleep relationship in CHIKV arthritis. CONCLUSION: There is a strong association between sleep disturbance and arthritis flare pain and severity; however, this relationship is not mediated by cytokines or T cells. Since this study is unable to determine causation, further research is needed to determine the mechanism underlying the relationship between sleep disturbances and CHIKV arthritis flares. 2021 /pmc/articles/PMC8315573/ /pubmed/34322686 http://dx.doi.org/10.33696/immunology.3.098 Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) |
spellingShingle | Article Tritsch, Sarah R. Amdur, Richard Encinales, Liliana Cadena, Andres Fierbaugh, Paige Avendaño, Geraldine Gomez, Carlos Andres Herrera Suchowiecki, Karol Mendoza-Torres, Evelyn Rosales, Wendy Jimenez, Dennys Hernandez, Carlos Alberto Perez Hernandez, Alfonso Sucerquia Silvera, Paula Bruges Crespo, Yerlenis Galvis Jimenez, Alberto David Cabana Zapata, Jennifer Carolina Martinez Mores, Christopher N. Firestein, Gary S. Simon, Gary Chang, Aileen Y. Sleep Disturbances are a Significant Predictor of Chikungunya Arthritis Flare Severity |
title | Sleep Disturbances are a Significant Predictor of Chikungunya Arthritis Flare Severity |
title_full | Sleep Disturbances are a Significant Predictor of Chikungunya Arthritis Flare Severity |
title_fullStr | Sleep Disturbances are a Significant Predictor of Chikungunya Arthritis Flare Severity |
title_full_unstemmed | Sleep Disturbances are a Significant Predictor of Chikungunya Arthritis Flare Severity |
title_short | Sleep Disturbances are a Significant Predictor of Chikungunya Arthritis Flare Severity |
title_sort | sleep disturbances are a significant predictor of chikungunya arthritis flare severity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315573/ https://www.ncbi.nlm.nih.gov/pubmed/34322686 http://dx.doi.org/10.33696/immunology.3.098 |
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