Metabolomic biomarker candidates for skeletal muscle loss in the collagen-induced arthritis (CIA) model
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/245651 |
Resumo: | There is no consensus for diagnosis or treatment of RA muscle loss. We aimed to investigate metabolites in arthritic mice urine as biomarkers of muscle loss. DBA1/J mice comprised collagen-induced arthritis (CIA) and control (CO) groups. Urine samples were collected at 0, 18, 35, 45, 55, and 65 days of disease and subjected to nuclear magnetic resonance spectroscopy. Metabolites were identified using Chenomx and Birmingham Metabolite libraries. The statistical model used principal component analysis, partial least-squares discriminant analysis, and partial least-squares regression analysis. Linear regression and Fisher’s exact test via the MetaboAnalyst website were performed (VIP-score). Nearly 100 identified metabolites had CIA vs. CO and disease time-dependent differences (p < 0.05). Twenty-eight metabolites were muscle-associated: carnosine (VIPs 2.8 × 102) and succinyl acetone (VIPs 1.0 × 10) showed high importance in CIA vs. CO models at day 65; CIA pair analysis showed histidine (VIPs 1.2 × 102) days 55 vs. 65, histamine (VIPs 1.1 × 102) days 55 vs. 65, and L-methionine (VIPs 1.1 × 102) days 0 vs. 18. Carnosine was fatigue- (0.039) related, creatine was food intake- (−0.177) and body weight- (−0.039) related, and both metabolites were clinical score- (0.093; 0.050) and paw edema- (0.125; 0.026) related. Therefore, muscle metabolic alterations were detected in arthritic mice urine, enabling further validation in RA patient’s urine, targeting prognosis, diagnosis, and monitoring of RA-mediated muscle loss. |
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Alabarse, Paulo Vinicius GilSilva, Jordana Miranda de SouzaEspírito Santo, Rafaela Cavalheiro doOliveira, Marianne Schrader deAlmeida, Andrelise Simões deOliveira, Mayara Souza deImmig, Mônica LuizaFreitas, Eduarda CorreaTeixeira, Vivian de Oliveira NunesBathurst, Camilla L.Brenol, Claiton ViegasFilippin, Lidiane IsabelYoung, Stephen PeterLora, Priscila SchmidtXavier, Ricardo Machado2022-07-28T04:46:50Z20212075-4426http://hdl.handle.net/10183/245651001146363There is no consensus for diagnosis or treatment of RA muscle loss. We aimed to investigate metabolites in arthritic mice urine as biomarkers of muscle loss. DBA1/J mice comprised collagen-induced arthritis (CIA) and control (CO) groups. Urine samples were collected at 0, 18, 35, 45, 55, and 65 days of disease and subjected to nuclear magnetic resonance spectroscopy. Metabolites were identified using Chenomx and Birmingham Metabolite libraries. The statistical model used principal component analysis, partial least-squares discriminant analysis, and partial least-squares regression analysis. Linear regression and Fisher’s exact test via the MetaboAnalyst website were performed (VIP-score). Nearly 100 identified metabolites had CIA vs. CO and disease time-dependent differences (p < 0.05). Twenty-eight metabolites were muscle-associated: carnosine (VIPs 2.8 × 102) and succinyl acetone (VIPs 1.0 × 10) showed high importance in CIA vs. CO models at day 65; CIA pair analysis showed histidine (VIPs 1.2 × 102) days 55 vs. 65, histamine (VIPs 1.1 × 102) days 55 vs. 65, and L-methionine (VIPs 1.1 × 102) days 0 vs. 18. Carnosine was fatigue- (0.039) related, creatine was food intake- (−0.177) and body weight- (−0.039) related, and both metabolites were clinical score- (0.093; 0.050) and paw edema- (0.125; 0.026) related. Therefore, muscle metabolic alterations were detected in arthritic mice urine, enabling further validation in RA patient’s urine, targeting prognosis, diagnosis, and monitoring of RA-mediated muscle loss.application/pdfengJournal of personalized medicine. Basel. Vol. 11, no. 9 (2021), 837, 24 p.BiomarcadoresCaquexiaMetabolismoArtrite reumatóideRheumatoid arthritisPrecision medicineNMRCIAMetabolomicsCachexiaBiomarkersMetabolomic biomarker candidates for skeletal muscle loss in the collagen-induced arthritis (CIA) modelEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001146363.pdf.txt001146363.pdf.txtExtracted Texttext/plain83859http://www.lume.ufrgs.br/bitstream/10183/245651/2/001146363.pdf.txtba8df21d54792a9202ff21f820dbc6bbMD52ORIGINAL001146363.pdfTexto completo (inglês)application/pdf5060153http://www.lume.ufrgs.br/bitstream/10183/245651/1/001146363.pdf04eda1337059e92737f7fc5c7c669c86MD5110183/2456512022-07-29 04:51:51.322275oai:www.lume.ufrgs.br:10183/245651Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2022-07-29T07:51:51Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Metabolomic biomarker candidates for skeletal muscle loss in the collagen-induced arthritis (CIA) model |
title |
Metabolomic biomarker candidates for skeletal muscle loss in the collagen-induced arthritis (CIA) model |
spellingShingle |
Metabolomic biomarker candidates for skeletal muscle loss in the collagen-induced arthritis (CIA) model Alabarse, Paulo Vinicius Gil Biomarcadores Caquexia Metabolismo Artrite reumatóide Rheumatoid arthritis Precision medicine NMR CIA Metabolomics Cachexia Biomarkers |
title_short |
Metabolomic biomarker candidates for skeletal muscle loss in the collagen-induced arthritis (CIA) model |
title_full |
Metabolomic biomarker candidates for skeletal muscle loss in the collagen-induced arthritis (CIA) model |
title_fullStr |
Metabolomic biomarker candidates for skeletal muscle loss in the collagen-induced arthritis (CIA) model |
title_full_unstemmed |
Metabolomic biomarker candidates for skeletal muscle loss in the collagen-induced arthritis (CIA) model |
title_sort |
Metabolomic biomarker candidates for skeletal muscle loss in the collagen-induced arthritis (CIA) model |
author |
Alabarse, Paulo Vinicius Gil |
author_facet |
Alabarse, Paulo Vinicius Gil Silva, Jordana Miranda de Souza Espírito Santo, Rafaela Cavalheiro do Oliveira, Marianne Schrader de Almeida, Andrelise Simões de Oliveira, Mayara Souza de Immig, Mônica Luiza Freitas, Eduarda Correa Teixeira, Vivian de Oliveira Nunes Bathurst, Camilla L. Brenol, Claiton Viegas Filippin, Lidiane Isabel Young, Stephen Peter Lora, Priscila Schmidt Xavier, Ricardo Machado |
author_role |
author |
author2 |
Silva, Jordana Miranda de Souza Espírito Santo, Rafaela Cavalheiro do Oliveira, Marianne Schrader de Almeida, Andrelise Simões de Oliveira, Mayara Souza de Immig, Mônica Luiza Freitas, Eduarda Correa Teixeira, Vivian de Oliveira Nunes Bathurst, Camilla L. Brenol, Claiton Viegas Filippin, Lidiane Isabel Young, Stephen Peter Lora, Priscila Schmidt Xavier, Ricardo Machado |
author2_role |
author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Alabarse, Paulo Vinicius Gil Silva, Jordana Miranda de Souza Espírito Santo, Rafaela Cavalheiro do Oliveira, Marianne Schrader de Almeida, Andrelise Simões de Oliveira, Mayara Souza de Immig, Mônica Luiza Freitas, Eduarda Correa Teixeira, Vivian de Oliveira Nunes Bathurst, Camilla L. Brenol, Claiton Viegas Filippin, Lidiane Isabel Young, Stephen Peter Lora, Priscila Schmidt Xavier, Ricardo Machado |
dc.subject.por.fl_str_mv |
Biomarcadores Caquexia Metabolismo Artrite reumatóide |
topic |
Biomarcadores Caquexia Metabolismo Artrite reumatóide Rheumatoid arthritis Precision medicine NMR CIA Metabolomics Cachexia Biomarkers |
dc.subject.eng.fl_str_mv |
Rheumatoid arthritis Precision medicine NMR CIA Metabolomics Cachexia Biomarkers |
description |
There is no consensus for diagnosis or treatment of RA muscle loss. We aimed to investigate metabolites in arthritic mice urine as biomarkers of muscle loss. DBA1/J mice comprised collagen-induced arthritis (CIA) and control (CO) groups. Urine samples were collected at 0, 18, 35, 45, 55, and 65 days of disease and subjected to nuclear magnetic resonance spectroscopy. Metabolites were identified using Chenomx and Birmingham Metabolite libraries. The statistical model used principal component analysis, partial least-squares discriminant analysis, and partial least-squares regression analysis. Linear regression and Fisher’s exact test via the MetaboAnalyst website were performed (VIP-score). Nearly 100 identified metabolites had CIA vs. CO and disease time-dependent differences (p < 0.05). Twenty-eight metabolites were muscle-associated: carnosine (VIPs 2.8 × 102) and succinyl acetone (VIPs 1.0 × 10) showed high importance in CIA vs. CO models at day 65; CIA pair analysis showed histidine (VIPs 1.2 × 102) days 55 vs. 65, histamine (VIPs 1.1 × 102) days 55 vs. 65, and L-methionine (VIPs 1.1 × 102) days 0 vs. 18. Carnosine was fatigue- (0.039) related, creatine was food intake- (−0.177) and body weight- (−0.039) related, and both metabolites were clinical score- (0.093; 0.050) and paw edema- (0.125; 0.026) related. Therefore, muscle metabolic alterations were detected in arthritic mice urine, enabling further validation in RA patient’s urine, targeting prognosis, diagnosis, and monitoring of RA-mediated muscle loss. |
publishDate |
2021 |
dc.date.issued.fl_str_mv |
2021 |
dc.date.accessioned.fl_str_mv |
2022-07-28T04:46:50Z |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/245651 |
dc.identifier.issn.pt_BR.fl_str_mv |
2075-4426 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001146363 |
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2075-4426 001146363 |
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http://hdl.handle.net/10183/245651 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Journal of personalized medicine. Basel. Vol. 11, no. 9 (2021), 837, 24 p. |
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info:eu-repo/semantics/openAccess |
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openAccess |
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