Serum Metabolomic Profiling in Rheumatoid Arthritis Patients With Interstitial Lung Disease: A Case–Control Study
Objectives: Interstitial lung disease (ILD) is an extra-articular manifestation in rheumatoid arthritis (RA), detected in 10.7% of patients, and causing a poor prognosis. Hence, biomarkers for ILD are urgently required in RA. Low molecular weight metabolites can be assessed by metabolomic analyses,...
Ausführliche Beschreibung
Autor*in: |
Hiroshi Furukawa [verfasserIn] Shomi Oka [verfasserIn] Kota Shimada [verfasserIn] Akira Okamoto [verfasserIn] Atsushi Hashimoto [verfasserIn] Akiko Komiya [verfasserIn] Koichiro Saisho [verfasserIn] Norie Yoshikawa [verfasserIn] Masao Katayama [verfasserIn] Toshihiro Matsui [verfasserIn] Naoshi Fukui [verfasserIn] Kiyoshi Migita [verfasserIn] Shigeto Tohma [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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Übergeordnetes Werk: |
In: Frontiers in Medicine - Frontiers Media S.A., 2014, 7(2020) |
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Übergeordnetes Werk: |
volume:7 ; year:2020 |
Links: |
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DOI / URN: |
10.3389/fmed.2020.599794 |
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Katalog-ID: |
DOAJ055053467 |
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520 | |a Objectives: Interstitial lung disease (ILD) is an extra-articular manifestation in rheumatoid arthritis (RA), detected in 10.7% of patients, and causing a poor prognosis. Hence, biomarkers for ILD are urgently required in RA. Low molecular weight metabolites can be assessed by metabolomic analyses, and although these have been conducted in RA and in idiopathic pulmonary fibrosis, few have been carried out for ILD in the context of RA. Therefore, we analyzed serum metabolomic profiles of ILD in RA to identify novel biomarkers.Methods: Serum samples from 100 RA patients with ILD and 100 matched RA patients without chronic lung disease (CLD) were collected. These samples were subjected to metabolomic analyses using capillary electrophoresis time-of-flight mass spectrometry.Results: A total of 299 metabolites were detected in the metabolomic analysis. By univariate analysis, serum levels of decanoic acid and morpholine were lower in RA with ILD (false discovery rate Q = 1.87 × 10−11 and 7.09 × 10−6, respectively), and glycerol was higher (Q = 1.20 × 10−6), relative to RA without CLD. Serum levels of these metabolites in RA with usual interstitial pneumonia or RA with non-specific interstitial pneumonia were also altered. The partial least squares-discriminant analysis model generated from these three metabolites could successfully discriminate ILD in RA (area under the curve: 0.919, 95% confidence interval: 0.867–0.968, sensitivity 0.880, specificity 0.780).Conclusions: Serum levels of some metabolites were significantly different in RA with ILD compared with RA without CLD. It is concluded that metabolomic profiling will be useful for discovering candidate screening biomarkers for ILD in RA. | ||
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10.3389/fmed.2020.599794 doi (DE-627)DOAJ055053467 (DE-599)DOAJ3b38191226364329b896403098d4d1fe DE-627 ger DE-627 rakwb eng R5-920 Hiroshi Furukawa verfasserin aut Serum Metabolomic Profiling in Rheumatoid Arthritis Patients With Interstitial Lung Disease: A Case–Control Study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives: Interstitial lung disease (ILD) is an extra-articular manifestation in rheumatoid arthritis (RA), detected in 10.7% of patients, and causing a poor prognosis. Hence, biomarkers for ILD are urgently required in RA. Low molecular weight metabolites can be assessed by metabolomic analyses, and although these have been conducted in RA and in idiopathic pulmonary fibrosis, few have been carried out for ILD in the context of RA. Therefore, we analyzed serum metabolomic profiles of ILD in RA to identify novel biomarkers.Methods: Serum samples from 100 RA patients with ILD and 100 matched RA patients without chronic lung disease (CLD) were collected. These samples were subjected to metabolomic analyses using capillary electrophoresis time-of-flight mass spectrometry.Results: A total of 299 metabolites were detected in the metabolomic analysis. By univariate analysis, serum levels of decanoic acid and morpholine were lower in RA with ILD (false discovery rate Q = 1.87 × 10−11 and 7.09 × 10−6, respectively), and glycerol was higher (Q = 1.20 × 10−6), relative to RA without CLD. Serum levels of these metabolites in RA with usual interstitial pneumonia or RA with non-specific interstitial pneumonia were also altered. The partial least squares-discriminant analysis model generated from these three metabolites could successfully discriminate ILD in RA (area under the curve: 0.919, 95% confidence interval: 0.867–0.968, sensitivity 0.880, specificity 0.780).Conclusions: Serum levels of some metabolites were significantly different in RA with ILD compared with RA without CLD. It is concluded that metabolomic profiling will be useful for discovering candidate screening biomarkers for ILD in RA. rheumatoid arthritis interstitial lung disease metabolomics usual interstitial pneumonia non-specific interstitial pneumonia Medicine (General) Hiroshi Furukawa verfasserin aut Shomi Oka verfasserin aut Shomi Oka verfasserin aut Kota Shimada verfasserin aut Kota Shimada verfasserin aut Akira Okamoto verfasserin aut Atsushi Hashimoto verfasserin aut Atsushi Hashimoto verfasserin aut Akiko Komiya verfasserin aut Akiko Komiya verfasserin aut Koichiro Saisho verfasserin aut Koichiro Saisho verfasserin aut Norie Yoshikawa verfasserin aut Masao Katayama verfasserin aut Toshihiro Matsui verfasserin aut Toshihiro Matsui verfasserin aut Naoshi Fukui verfasserin aut Kiyoshi Migita verfasserin aut Kiyoshi Migita verfasserin aut Shigeto Tohma verfasserin aut Shigeto Tohma verfasserin aut In Frontiers in Medicine Frontiers Media S.A., 2014 7(2020) (DE-627)789482991 (DE-600)2775999-4 2296858X nnns volume:7 year:2020 https://doi.org/10.3389/fmed.2020.599794 kostenfrei https://doaj.org/article/3b38191226364329b896403098d4d1fe kostenfrei https://www.frontiersin.org/articles/10.3389/fmed.2020.599794/full kostenfrei https://doaj.org/toc/2296-858X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2020 |
spelling |
10.3389/fmed.2020.599794 doi (DE-627)DOAJ055053467 (DE-599)DOAJ3b38191226364329b896403098d4d1fe DE-627 ger DE-627 rakwb eng R5-920 Hiroshi Furukawa verfasserin aut Serum Metabolomic Profiling in Rheumatoid Arthritis Patients With Interstitial Lung Disease: A Case–Control Study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives: Interstitial lung disease (ILD) is an extra-articular manifestation in rheumatoid arthritis (RA), detected in 10.7% of patients, and causing a poor prognosis. Hence, biomarkers for ILD are urgently required in RA. Low molecular weight metabolites can be assessed by metabolomic analyses, and although these have been conducted in RA and in idiopathic pulmonary fibrosis, few have been carried out for ILD in the context of RA. Therefore, we analyzed serum metabolomic profiles of ILD in RA to identify novel biomarkers.Methods: Serum samples from 100 RA patients with ILD and 100 matched RA patients without chronic lung disease (CLD) were collected. These samples were subjected to metabolomic analyses using capillary electrophoresis time-of-flight mass spectrometry.Results: A total of 299 metabolites were detected in the metabolomic analysis. By univariate analysis, serum levels of decanoic acid and morpholine were lower in RA with ILD (false discovery rate Q = 1.87 × 10−11 and 7.09 × 10−6, respectively), and glycerol was higher (Q = 1.20 × 10−6), relative to RA without CLD. Serum levels of these metabolites in RA with usual interstitial pneumonia or RA with non-specific interstitial pneumonia were also altered. The partial least squares-discriminant analysis model generated from these three metabolites could successfully discriminate ILD in RA (area under the curve: 0.919, 95% confidence interval: 0.867–0.968, sensitivity 0.880, specificity 0.780).Conclusions: Serum levels of some metabolites were significantly different in RA with ILD compared with RA without CLD. It is concluded that metabolomic profiling will be useful for discovering candidate screening biomarkers for ILD in RA. rheumatoid arthritis interstitial lung disease metabolomics usual interstitial pneumonia non-specific interstitial pneumonia Medicine (General) Hiroshi Furukawa verfasserin aut Shomi Oka verfasserin aut Shomi Oka verfasserin aut Kota Shimada verfasserin aut Kota Shimada verfasserin aut Akira Okamoto verfasserin aut Atsushi Hashimoto verfasserin aut Atsushi Hashimoto verfasserin aut Akiko Komiya verfasserin aut Akiko Komiya verfasserin aut Koichiro Saisho verfasserin aut Koichiro Saisho verfasserin aut Norie Yoshikawa verfasserin aut Masao Katayama verfasserin aut Toshihiro Matsui verfasserin aut Toshihiro Matsui verfasserin aut Naoshi Fukui verfasserin aut Kiyoshi Migita verfasserin aut Kiyoshi Migita verfasserin aut Shigeto Tohma verfasserin aut Shigeto Tohma verfasserin aut In Frontiers in Medicine Frontiers Media S.A., 2014 7(2020) (DE-627)789482991 (DE-600)2775999-4 2296858X nnns volume:7 year:2020 https://doi.org/10.3389/fmed.2020.599794 kostenfrei https://doaj.org/article/3b38191226364329b896403098d4d1fe kostenfrei https://www.frontiersin.org/articles/10.3389/fmed.2020.599794/full kostenfrei https://doaj.org/toc/2296-858X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2020 |
allfields_unstemmed |
10.3389/fmed.2020.599794 doi (DE-627)DOAJ055053467 (DE-599)DOAJ3b38191226364329b896403098d4d1fe DE-627 ger DE-627 rakwb eng R5-920 Hiroshi Furukawa verfasserin aut Serum Metabolomic Profiling in Rheumatoid Arthritis Patients With Interstitial Lung Disease: A Case–Control Study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives: Interstitial lung disease (ILD) is an extra-articular manifestation in rheumatoid arthritis (RA), detected in 10.7% of patients, and causing a poor prognosis. Hence, biomarkers for ILD are urgently required in RA. Low molecular weight metabolites can be assessed by metabolomic analyses, and although these have been conducted in RA and in idiopathic pulmonary fibrosis, few have been carried out for ILD in the context of RA. Therefore, we analyzed serum metabolomic profiles of ILD in RA to identify novel biomarkers.Methods: Serum samples from 100 RA patients with ILD and 100 matched RA patients without chronic lung disease (CLD) were collected. These samples were subjected to metabolomic analyses using capillary electrophoresis time-of-flight mass spectrometry.Results: A total of 299 metabolites were detected in the metabolomic analysis. By univariate analysis, serum levels of decanoic acid and morpholine were lower in RA with ILD (false discovery rate Q = 1.87 × 10−11 and 7.09 × 10−6, respectively), and glycerol was higher (Q = 1.20 × 10−6), relative to RA without CLD. Serum levels of these metabolites in RA with usual interstitial pneumonia or RA with non-specific interstitial pneumonia were also altered. The partial least squares-discriminant analysis model generated from these three metabolites could successfully discriminate ILD in RA (area under the curve: 0.919, 95% confidence interval: 0.867–0.968, sensitivity 0.880, specificity 0.780).Conclusions: Serum levels of some metabolites were significantly different in RA with ILD compared with RA without CLD. It is concluded that metabolomic profiling will be useful for discovering candidate screening biomarkers for ILD in RA. rheumatoid arthritis interstitial lung disease metabolomics usual interstitial pneumonia non-specific interstitial pneumonia Medicine (General) Hiroshi Furukawa verfasserin aut Shomi Oka verfasserin aut Shomi Oka verfasserin aut Kota Shimada verfasserin aut Kota Shimada verfasserin aut Akira Okamoto verfasserin aut Atsushi Hashimoto verfasserin aut Atsushi Hashimoto verfasserin aut Akiko Komiya verfasserin aut Akiko Komiya verfasserin aut Koichiro Saisho verfasserin aut Koichiro Saisho verfasserin aut Norie Yoshikawa verfasserin aut Masao Katayama verfasserin aut Toshihiro Matsui verfasserin aut Toshihiro Matsui verfasserin aut Naoshi Fukui verfasserin aut Kiyoshi Migita verfasserin aut Kiyoshi Migita verfasserin aut Shigeto Tohma verfasserin aut Shigeto Tohma verfasserin aut In Frontiers in Medicine Frontiers Media S.A., 2014 7(2020) (DE-627)789482991 (DE-600)2775999-4 2296858X nnns volume:7 year:2020 https://doi.org/10.3389/fmed.2020.599794 kostenfrei https://doaj.org/article/3b38191226364329b896403098d4d1fe kostenfrei https://www.frontiersin.org/articles/10.3389/fmed.2020.599794/full kostenfrei https://doaj.org/toc/2296-858X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2020 |
allfieldsGer |
10.3389/fmed.2020.599794 doi (DE-627)DOAJ055053467 (DE-599)DOAJ3b38191226364329b896403098d4d1fe DE-627 ger DE-627 rakwb eng R5-920 Hiroshi Furukawa verfasserin aut Serum Metabolomic Profiling in Rheumatoid Arthritis Patients With Interstitial Lung Disease: A Case–Control Study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives: Interstitial lung disease (ILD) is an extra-articular manifestation in rheumatoid arthritis (RA), detected in 10.7% of patients, and causing a poor prognosis. Hence, biomarkers for ILD are urgently required in RA. Low molecular weight metabolites can be assessed by metabolomic analyses, and although these have been conducted in RA and in idiopathic pulmonary fibrosis, few have been carried out for ILD in the context of RA. Therefore, we analyzed serum metabolomic profiles of ILD in RA to identify novel biomarkers.Methods: Serum samples from 100 RA patients with ILD and 100 matched RA patients without chronic lung disease (CLD) were collected. These samples were subjected to metabolomic analyses using capillary electrophoresis time-of-flight mass spectrometry.Results: A total of 299 metabolites were detected in the metabolomic analysis. By univariate analysis, serum levels of decanoic acid and morpholine were lower in RA with ILD (false discovery rate Q = 1.87 × 10−11 and 7.09 × 10−6, respectively), and glycerol was higher (Q = 1.20 × 10−6), relative to RA without CLD. Serum levels of these metabolites in RA with usual interstitial pneumonia or RA with non-specific interstitial pneumonia were also altered. The partial least squares-discriminant analysis model generated from these three metabolites could successfully discriminate ILD in RA (area under the curve: 0.919, 95% confidence interval: 0.867–0.968, sensitivity 0.880, specificity 0.780).Conclusions: Serum levels of some metabolites were significantly different in RA with ILD compared with RA without CLD. It is concluded that metabolomic profiling will be useful for discovering candidate screening biomarkers for ILD in RA. rheumatoid arthritis interstitial lung disease metabolomics usual interstitial pneumonia non-specific interstitial pneumonia Medicine (General) Hiroshi Furukawa verfasserin aut Shomi Oka verfasserin aut Shomi Oka verfasserin aut Kota Shimada verfasserin aut Kota Shimada verfasserin aut Akira Okamoto verfasserin aut Atsushi Hashimoto verfasserin aut Atsushi Hashimoto verfasserin aut Akiko Komiya verfasserin aut Akiko Komiya verfasserin aut Koichiro Saisho verfasserin aut Koichiro Saisho verfasserin aut Norie Yoshikawa verfasserin aut Masao Katayama verfasserin aut Toshihiro Matsui verfasserin aut Toshihiro Matsui verfasserin aut Naoshi Fukui verfasserin aut Kiyoshi Migita verfasserin aut Kiyoshi Migita verfasserin aut Shigeto Tohma verfasserin aut Shigeto Tohma verfasserin aut In Frontiers in Medicine Frontiers Media S.A., 2014 7(2020) (DE-627)789482991 (DE-600)2775999-4 2296858X nnns volume:7 year:2020 https://doi.org/10.3389/fmed.2020.599794 kostenfrei https://doaj.org/article/3b38191226364329b896403098d4d1fe kostenfrei https://www.frontiersin.org/articles/10.3389/fmed.2020.599794/full kostenfrei https://doaj.org/toc/2296-858X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2020 |
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10.3389/fmed.2020.599794 doi (DE-627)DOAJ055053467 (DE-599)DOAJ3b38191226364329b896403098d4d1fe DE-627 ger DE-627 rakwb eng R5-920 Hiroshi Furukawa verfasserin aut Serum Metabolomic Profiling in Rheumatoid Arthritis Patients With Interstitial Lung Disease: A Case–Control Study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives: Interstitial lung disease (ILD) is an extra-articular manifestation in rheumatoid arthritis (RA), detected in 10.7% of patients, and causing a poor prognosis. Hence, biomarkers for ILD are urgently required in RA. Low molecular weight metabolites can be assessed by metabolomic analyses, and although these have been conducted in RA and in idiopathic pulmonary fibrosis, few have been carried out for ILD in the context of RA. Therefore, we analyzed serum metabolomic profiles of ILD in RA to identify novel biomarkers.Methods: Serum samples from 100 RA patients with ILD and 100 matched RA patients without chronic lung disease (CLD) were collected. These samples were subjected to metabolomic analyses using capillary electrophoresis time-of-flight mass spectrometry.Results: A total of 299 metabolites were detected in the metabolomic analysis. By univariate analysis, serum levels of decanoic acid and morpholine were lower in RA with ILD (false discovery rate Q = 1.87 × 10−11 and 7.09 × 10−6, respectively), and glycerol was higher (Q = 1.20 × 10−6), relative to RA without CLD. Serum levels of these metabolites in RA with usual interstitial pneumonia or RA with non-specific interstitial pneumonia were also altered. The partial least squares-discriminant analysis model generated from these three metabolites could successfully discriminate ILD in RA (area under the curve: 0.919, 95% confidence interval: 0.867–0.968, sensitivity 0.880, specificity 0.780).Conclusions: Serum levels of some metabolites were significantly different in RA with ILD compared with RA without CLD. It is concluded that metabolomic profiling will be useful for discovering candidate screening biomarkers for ILD in RA. rheumatoid arthritis interstitial lung disease metabolomics usual interstitial pneumonia non-specific interstitial pneumonia Medicine (General) Hiroshi Furukawa verfasserin aut Shomi Oka verfasserin aut Shomi Oka verfasserin aut Kota Shimada verfasserin aut Kota Shimada verfasserin aut Akira Okamoto verfasserin aut Atsushi Hashimoto verfasserin aut Atsushi Hashimoto verfasserin aut Akiko Komiya verfasserin aut Akiko Komiya verfasserin aut Koichiro Saisho verfasserin aut Koichiro Saisho verfasserin aut Norie Yoshikawa verfasserin aut Masao Katayama verfasserin aut Toshihiro Matsui verfasserin aut Toshihiro Matsui verfasserin aut Naoshi Fukui verfasserin aut Kiyoshi Migita verfasserin aut Kiyoshi Migita verfasserin aut Shigeto Tohma verfasserin aut Shigeto Tohma verfasserin aut In Frontiers in Medicine Frontiers Media S.A., 2014 7(2020) (DE-627)789482991 (DE-600)2775999-4 2296858X nnns volume:7 year:2020 https://doi.org/10.3389/fmed.2020.599794 kostenfrei https://doaj.org/article/3b38191226364329b896403098d4d1fe kostenfrei https://www.frontiersin.org/articles/10.3389/fmed.2020.599794/full kostenfrei https://doaj.org/toc/2296-858X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2020 |
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Serum Metabolomic Profiling in Rheumatoid Arthritis Patients With Interstitial Lung Disease: A Case–Control Study |
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Serum Metabolomic Profiling in Rheumatoid Arthritis Patients With Interstitial Lung Disease: A Case–Control Study |
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Hiroshi Furukawa |
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Hiroshi Furukawa Shomi Oka Kota Shimada Akira Okamoto Atsushi Hashimoto Akiko Komiya Koichiro Saisho Norie Yoshikawa Masao Katayama Toshihiro Matsui Naoshi Fukui Kiyoshi Migita Shigeto Tohma |
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Hiroshi Furukawa |
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serum metabolomic profiling in rheumatoid arthritis patients with interstitial lung disease: a case–control study |
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Serum Metabolomic Profiling in Rheumatoid Arthritis Patients With Interstitial Lung Disease: A Case–Control Study |
abstract |
Objectives: Interstitial lung disease (ILD) is an extra-articular manifestation in rheumatoid arthritis (RA), detected in 10.7% of patients, and causing a poor prognosis. Hence, biomarkers for ILD are urgently required in RA. Low molecular weight metabolites can be assessed by metabolomic analyses, and although these have been conducted in RA and in idiopathic pulmonary fibrosis, few have been carried out for ILD in the context of RA. Therefore, we analyzed serum metabolomic profiles of ILD in RA to identify novel biomarkers.Methods: Serum samples from 100 RA patients with ILD and 100 matched RA patients without chronic lung disease (CLD) were collected. These samples were subjected to metabolomic analyses using capillary electrophoresis time-of-flight mass spectrometry.Results: A total of 299 metabolites were detected in the metabolomic analysis. By univariate analysis, serum levels of decanoic acid and morpholine were lower in RA with ILD (false discovery rate Q = 1.87 × 10−11 and 7.09 × 10−6, respectively), and glycerol was higher (Q = 1.20 × 10−6), relative to RA without CLD. Serum levels of these metabolites in RA with usual interstitial pneumonia or RA with non-specific interstitial pneumonia were also altered. The partial least squares-discriminant analysis model generated from these three metabolites could successfully discriminate ILD in RA (area under the curve: 0.919, 95% confidence interval: 0.867–0.968, sensitivity 0.880, specificity 0.780).Conclusions: Serum levels of some metabolites were significantly different in RA with ILD compared with RA without CLD. It is concluded that metabolomic profiling will be useful for discovering candidate screening biomarkers for ILD in RA. |
abstractGer |
Objectives: Interstitial lung disease (ILD) is an extra-articular manifestation in rheumatoid arthritis (RA), detected in 10.7% of patients, and causing a poor prognosis. Hence, biomarkers for ILD are urgently required in RA. Low molecular weight metabolites can be assessed by metabolomic analyses, and although these have been conducted in RA and in idiopathic pulmonary fibrosis, few have been carried out for ILD in the context of RA. Therefore, we analyzed serum metabolomic profiles of ILD in RA to identify novel biomarkers.Methods: Serum samples from 100 RA patients with ILD and 100 matched RA patients without chronic lung disease (CLD) were collected. These samples were subjected to metabolomic analyses using capillary electrophoresis time-of-flight mass spectrometry.Results: A total of 299 metabolites were detected in the metabolomic analysis. By univariate analysis, serum levels of decanoic acid and morpholine were lower in RA with ILD (false discovery rate Q = 1.87 × 10−11 and 7.09 × 10−6, respectively), and glycerol was higher (Q = 1.20 × 10−6), relative to RA without CLD. Serum levels of these metabolites in RA with usual interstitial pneumonia or RA with non-specific interstitial pneumonia were also altered. The partial least squares-discriminant analysis model generated from these three metabolites could successfully discriminate ILD in RA (area under the curve: 0.919, 95% confidence interval: 0.867–0.968, sensitivity 0.880, specificity 0.780).Conclusions: Serum levels of some metabolites were significantly different in RA with ILD compared with RA without CLD. It is concluded that metabolomic profiling will be useful for discovering candidate screening biomarkers for ILD in RA. |
abstract_unstemmed |
Objectives: Interstitial lung disease (ILD) is an extra-articular manifestation in rheumatoid arthritis (RA), detected in 10.7% of patients, and causing a poor prognosis. Hence, biomarkers for ILD are urgently required in RA. Low molecular weight metabolites can be assessed by metabolomic analyses, and although these have been conducted in RA and in idiopathic pulmonary fibrosis, few have been carried out for ILD in the context of RA. Therefore, we analyzed serum metabolomic profiles of ILD in RA to identify novel biomarkers.Methods: Serum samples from 100 RA patients with ILD and 100 matched RA patients without chronic lung disease (CLD) were collected. These samples were subjected to metabolomic analyses using capillary electrophoresis time-of-flight mass spectrometry.Results: A total of 299 metabolites were detected in the metabolomic analysis. By univariate analysis, serum levels of decanoic acid and morpholine were lower in RA with ILD (false discovery rate Q = 1.87 × 10−11 and 7.09 × 10−6, respectively), and glycerol was higher (Q = 1.20 × 10−6), relative to RA without CLD. Serum levels of these metabolites in RA with usual interstitial pneumonia or RA with non-specific interstitial pneumonia were also altered. The partial least squares-discriminant analysis model generated from these three metabolites could successfully discriminate ILD in RA (area under the curve: 0.919, 95% confidence interval: 0.867–0.968, sensitivity 0.880, specificity 0.780).Conclusions: Serum levels of some metabolites were significantly different in RA with ILD compared with RA without CLD. It is concluded that metabolomic profiling will be useful for discovering candidate screening biomarkers for ILD in RA. |
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title_short |
Serum Metabolomic Profiling in Rheumatoid Arthritis Patients With Interstitial Lung Disease: A Case–Control Study |
url |
https://doi.org/10.3389/fmed.2020.599794 https://doaj.org/article/3b38191226364329b896403098d4d1fe https://www.frontiersin.org/articles/10.3389/fmed.2020.599794/full https://doaj.org/toc/2296-858X |
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Hiroshi Furukawa Shomi Oka Kota Shimada Akira Okamoto Atsushi Hashimoto Akiko Komiya Koichiro Saisho Norie Yoshikawa Masao Katayama Toshihiro Matsui Naoshi Fukui Kiyoshi Migita Shigeto Tohma |
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Hiroshi Furukawa Shomi Oka Kota Shimada Akira Okamoto Atsushi Hashimoto Akiko Komiya Koichiro Saisho Norie Yoshikawa Masao Katayama Toshihiro Matsui Naoshi Fukui Kiyoshi Migita Shigeto Tohma |
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