Severity of COPD and its relationship with IL-10
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.cyto.2017.10.018 http://hdl.handle.net/11449/179329 |
Resumo: | Background: The present study was designed to compare inflammatory and metabolic responses according to severity of airflow among patients with COPD and to verify the relationship between pulmonary function, body composition, metabolic and inflammatory profile. Methods: Fifty-one patients with mild to very severe COPD were recruited and divided according lung function in Mild-moderate (GOLD 1–2) n = 21; Severe (GOLD 3) n = 25 and Very severe (GOLD 4) n = 5. Patients were submitted to assessments of lung function (spirometry), functional exercise capacity (6-min walk test), body composition (Octopolar bioelectrical impedance), metabolic profile (glucose, triglycerides, total cholesterol, HDL-cholesterol and albumin (colorimetric assay)) and inflammatory profile (cytokines: IL-6, IL-10, TNF-α and IL-15 (ELISA)). Results: We found that patients in GOLD 3 group had lower levels of IL-10, triglycerides, visceral fat area, and higher IL-6 and IL-6/IL-10 ratio when compared to GOLD 1–2 patients. Additionally, GOLD 1–2 group presented negative correlation between TNF-α and HDL cholesterol (p =.01) and positive correlation between IL-15 and FEV1/FVC (p =.01), while GOLD 3 group showed positive correlation between IL-6 and IL-10 (p <.01), IL-6 and total cholesterol (p <.01) and negative correlation between IL-10 and HDL-cholesterol (p =.01). Conclusion: Our findings suggest that patients with severe COPD can exhibit compromised “inflammatory status” characterized by higher IL6, IL-6/IL-10 ratio and lower IL-10 concentration. Furthermore, IL-10 seems to be an interesting cytokine to be investigated in this kind of patients. |
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Severity of COPD and its relationship with IL-10COPDCytokineEmphysemaInflammationMetabolic responseBackground: The present study was designed to compare inflammatory and metabolic responses according to severity of airflow among patients with COPD and to verify the relationship between pulmonary function, body composition, metabolic and inflammatory profile. Methods: Fifty-one patients with mild to very severe COPD were recruited and divided according lung function in Mild-moderate (GOLD 1–2) n = 21; Severe (GOLD 3) n = 25 and Very severe (GOLD 4) n = 5. Patients were submitted to assessments of lung function (spirometry), functional exercise capacity (6-min walk test), body composition (Octopolar bioelectrical impedance), metabolic profile (glucose, triglycerides, total cholesterol, HDL-cholesterol and albumin (colorimetric assay)) and inflammatory profile (cytokines: IL-6, IL-10, TNF-α and IL-15 (ELISA)). Results: We found that patients in GOLD 3 group had lower levels of IL-10, triglycerides, visceral fat area, and higher IL-6 and IL-6/IL-10 ratio when compared to GOLD 1–2 patients. Additionally, GOLD 1–2 group presented negative correlation between TNF-α and HDL cholesterol (p =.01) and positive correlation between IL-15 and FEV1/FVC (p =.01), while GOLD 3 group showed positive correlation between IL-6 and IL-10 (p <.01), IL-6 and total cholesterol (p <.01) and negative correlation between IL-10 and HDL-cholesterol (p =.01). Conclusion: Our findings suggest that patients with severe COPD can exhibit compromised “inflammatory status” characterized by higher IL6, IL-6/IL-10 ratio and lower IL-10 concentration. Furthermore, IL-10 seems to be an interesting cytokine to be investigated in this kind of patients.Skeletal Muscle Assessment Laboratory (LABSIM) São Paulo State University (UNESP) School of Technology and Sciences Department of Physcial EducationPost Graduation Program in Motricity Sciences São Paulo State University (UNESP) School of Technology and SciencesExercise and Immunometabolism Research Group Department of Physical Education São Paulo State University (UNESP) School of Technology and SciencesDepartment of Physical Therapy São Paulo State University (UNESP) School of Technology and SciencesPost Graduation Program in Physical Therapy São Paulo State University (UNESP) School of Technology and SciencesImmunometabolism of Skeletal Muscle and Exercise Research Group Department of Physical Education Federal University of Piauí (UFPI)Skeletal Muscle Assessment Laboratory (LABSIM) São Paulo State University (UNESP) School of Technology and Sciences Department of Physcial EducationPost Graduation Program in Motricity Sciences São Paulo State University (UNESP) School of Technology and SciencesExercise and Immunometabolism Research Group Department of Physical Education São Paulo State University (UNESP) School of Technology and SciencesDepartment of Physical Therapy São Paulo State University (UNESP) School of Technology and SciencesPost Graduation Program in Physical Therapy São Paulo State University (UNESP) School of Technology and SciencesUniversidade Estadual Paulista (Unesp)Federal University of Piauí (UFPI)Silva, Bruna S.A. [UNESP]Lira, Fábio S. [UNESP]Ramos, Dionei [UNESP]Uzeloto, Juliana S. [UNESP]Rossi, Fabrício EduardoFreire, Ana Paula C.F. [UNESP]Silva, Rebeca N. [UNESP]Trevisan, Iara B. [UNESP]Gobbo, Luis Alberto [UNESP]Ramos, Ercy M.C. [UNESP]2018-12-11T17:34:44Z2018-12-11T17:34:44Z2018-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article95-100application/pdfhttp://dx.doi.org/10.1016/j.cyto.2017.10.018Cytokine, v. 106, p. 95-100.1096-00231043-4666http://hdl.handle.net/11449/17932910.1016/j.cyto.2017.10.0182-s2.0-850328846732-s2.0-85032884673.pdf6550959666011238Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCytokine1,4331,433info:eu-repo/semantics/openAccess2024-06-18T18:44:41Zoai:repositorio.unesp.br:11449/179329Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:23:23.544790Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Severity of COPD and its relationship with IL-10 |
title |
Severity of COPD and its relationship with IL-10 |
spellingShingle |
Severity of COPD and its relationship with IL-10 Silva, Bruna S.A. [UNESP] COPD Cytokine Emphysema Inflammation Metabolic response |
title_short |
Severity of COPD and its relationship with IL-10 |
title_full |
Severity of COPD and its relationship with IL-10 |
title_fullStr |
Severity of COPD and its relationship with IL-10 |
title_full_unstemmed |
Severity of COPD and its relationship with IL-10 |
title_sort |
Severity of COPD and its relationship with IL-10 |
author |
Silva, Bruna S.A. [UNESP] |
author_facet |
Silva, Bruna S.A. [UNESP] Lira, Fábio S. [UNESP] Ramos, Dionei [UNESP] Uzeloto, Juliana S. [UNESP] Rossi, Fabrício Eduardo Freire, Ana Paula C.F. [UNESP] Silva, Rebeca N. [UNESP] Trevisan, Iara B. [UNESP] Gobbo, Luis Alberto [UNESP] Ramos, Ercy M.C. [UNESP] |
author_role |
author |
author2 |
Lira, Fábio S. [UNESP] Ramos, Dionei [UNESP] Uzeloto, Juliana S. [UNESP] Rossi, Fabrício Eduardo Freire, Ana Paula C.F. [UNESP] Silva, Rebeca N. [UNESP] Trevisan, Iara B. [UNESP] Gobbo, Luis Alberto [UNESP] Ramos, Ercy M.C. [UNESP] |
author2_role |
author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Federal University of Piauí (UFPI) |
dc.contributor.author.fl_str_mv |
Silva, Bruna S.A. [UNESP] Lira, Fábio S. [UNESP] Ramos, Dionei [UNESP] Uzeloto, Juliana S. [UNESP] Rossi, Fabrício Eduardo Freire, Ana Paula C.F. [UNESP] Silva, Rebeca N. [UNESP] Trevisan, Iara B. [UNESP] Gobbo, Luis Alberto [UNESP] Ramos, Ercy M.C. [UNESP] |
dc.subject.por.fl_str_mv |
COPD Cytokine Emphysema Inflammation Metabolic response |
topic |
COPD Cytokine Emphysema Inflammation Metabolic response |
description |
Background: The present study was designed to compare inflammatory and metabolic responses according to severity of airflow among patients with COPD and to verify the relationship between pulmonary function, body composition, metabolic and inflammatory profile. Methods: Fifty-one patients with mild to very severe COPD were recruited and divided according lung function in Mild-moderate (GOLD 1–2) n = 21; Severe (GOLD 3) n = 25 and Very severe (GOLD 4) n = 5. Patients were submitted to assessments of lung function (spirometry), functional exercise capacity (6-min walk test), body composition (Octopolar bioelectrical impedance), metabolic profile (glucose, triglycerides, total cholesterol, HDL-cholesterol and albumin (colorimetric assay)) and inflammatory profile (cytokines: IL-6, IL-10, TNF-α and IL-15 (ELISA)). Results: We found that patients in GOLD 3 group had lower levels of IL-10, triglycerides, visceral fat area, and higher IL-6 and IL-6/IL-10 ratio when compared to GOLD 1–2 patients. Additionally, GOLD 1–2 group presented negative correlation between TNF-α and HDL cholesterol (p =.01) and positive correlation between IL-15 and FEV1/FVC (p =.01), while GOLD 3 group showed positive correlation between IL-6 and IL-10 (p <.01), IL-6 and total cholesterol (p <.01) and negative correlation between IL-10 and HDL-cholesterol (p =.01). Conclusion: Our findings suggest that patients with severe COPD can exhibit compromised “inflammatory status” characterized by higher IL6, IL-6/IL-10 ratio and lower IL-10 concentration. Furthermore, IL-10 seems to be an interesting cytokine to be investigated in this kind of patients. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-11T17:34:44Z 2018-12-11T17:34:44Z 2018-06-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.cyto.2017.10.018 Cytokine, v. 106, p. 95-100. 1096-0023 1043-4666 http://hdl.handle.net/11449/179329 10.1016/j.cyto.2017.10.018 2-s2.0-85032884673 2-s2.0-85032884673.pdf 6550959666011238 |
url |
http://dx.doi.org/10.1016/j.cyto.2017.10.018 http://hdl.handle.net/11449/179329 |
identifier_str_mv |
Cytokine, v. 106, p. 95-100. 1096-0023 1043-4666 10.1016/j.cyto.2017.10.018 2-s2.0-85032884673 2-s2.0-85032884673.pdf 6550959666011238 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Cytokine 1,433 1,433 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
95-100 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
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1808129514697392128 |