Distinguishing active from quiescent disease in ANCA-associated vasculitis using attenuated total reflection Fourier-transform infrared spectroscopy

Abstract The current lack of a reliable biomarker of disease activity in anti-neutrophil cytoplasmic autoantibody (ANCA) associated vasculitis poses a significant clinical unmet need when determining relapsing or persisting disease. In this study, we demonstrate for the first time that attenuated to...

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Autores principales: Adam D. Morris, Camilo L. M. Morais, Kássio M. G. Lima, Daniel L. D. Freitas, Mark E. Brady, Ajay P. Dhaygude, Anthony W. Rowbottom, Francis L. Martin
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/23acb19535a346939d22f09332fcf8e9
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spelling oai:doaj.org-article:23acb19535a346939d22f09332fcf8e92021-12-02T14:35:40ZDistinguishing active from quiescent disease in ANCA-associated vasculitis using attenuated total reflection Fourier-transform infrared spectroscopy10.1038/s41598-021-89344-82045-2322https://doaj.org/article/23acb19535a346939d22f09332fcf8e92021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89344-8https://doaj.org/toc/2045-2322Abstract The current lack of a reliable biomarker of disease activity in anti-neutrophil cytoplasmic autoantibody (ANCA) associated vasculitis poses a significant clinical unmet need when determining relapsing or persisting disease. In this study, we demonstrate for the first time that attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy offers a novel and functional candidate biomarker, distinguishing active from quiescent disease with a high degree of accuracy. Paired blood and urine samples were collected within a single UK centre from patients with active disease, disease remission, disease controls and healthy controls. Three key biofluids were evaluated; plasma, serum and urine, with subsequent chemometric analysis and blind predictive model validation. Spectrochemical interrogation proved plasma to be the most conducive biofluid, with excellent separation between the two categories on PC2 direction (AUC 0.901) and 100% sensitivity (F-score 92.3%) for disease remission and 85.7% specificity (F-score 92.3%) for active disease on blind predictive modelling. This was independent of organ system involvement and current ANCA status, with similar findings observed on comparative analysis following successful remission-induction therapy (AUC > 0.9, 100% sensitivity for disease remission, F-score 75%). This promising technique is clinically translatable and warrants future larger study with longitudinal data, potentially aiding earlier intervention and individualisation of treatment.Adam D. MorrisCamilo L. M. MoraisKássio M. G. LimaDaniel L. D. FreitasMark E. BradyAjay P. DhaygudeAnthony W. RowbottomFrancis L. MartinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Adam D. Morris
Camilo L. M. Morais
Kássio M. G. Lima
Daniel L. D. Freitas
Mark E. Brady
Ajay P. Dhaygude
Anthony W. Rowbottom
Francis L. Martin
Distinguishing active from quiescent disease in ANCA-associated vasculitis using attenuated total reflection Fourier-transform infrared spectroscopy
description Abstract The current lack of a reliable biomarker of disease activity in anti-neutrophil cytoplasmic autoantibody (ANCA) associated vasculitis poses a significant clinical unmet need when determining relapsing or persisting disease. In this study, we demonstrate for the first time that attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy offers a novel and functional candidate biomarker, distinguishing active from quiescent disease with a high degree of accuracy. Paired blood and urine samples were collected within a single UK centre from patients with active disease, disease remission, disease controls and healthy controls. Three key biofluids were evaluated; plasma, serum and urine, with subsequent chemometric analysis and blind predictive model validation. Spectrochemical interrogation proved plasma to be the most conducive biofluid, with excellent separation between the two categories on PC2 direction (AUC 0.901) and 100% sensitivity (F-score 92.3%) for disease remission and 85.7% specificity (F-score 92.3%) for active disease on blind predictive modelling. This was independent of organ system involvement and current ANCA status, with similar findings observed on comparative analysis following successful remission-induction therapy (AUC > 0.9, 100% sensitivity for disease remission, F-score 75%). This promising technique is clinically translatable and warrants future larger study with longitudinal data, potentially aiding earlier intervention and individualisation of treatment.
format article
author Adam D. Morris
Camilo L. M. Morais
Kássio M. G. Lima
Daniel L. D. Freitas
Mark E. Brady
Ajay P. Dhaygude
Anthony W. Rowbottom
Francis L. Martin
author_facet Adam D. Morris
Camilo L. M. Morais
Kássio M. G. Lima
Daniel L. D. Freitas
Mark E. Brady
Ajay P. Dhaygude
Anthony W. Rowbottom
Francis L. Martin
author_sort Adam D. Morris
title Distinguishing active from quiescent disease in ANCA-associated vasculitis using attenuated total reflection Fourier-transform infrared spectroscopy
title_short Distinguishing active from quiescent disease in ANCA-associated vasculitis using attenuated total reflection Fourier-transform infrared spectroscopy
title_full Distinguishing active from quiescent disease in ANCA-associated vasculitis using attenuated total reflection Fourier-transform infrared spectroscopy
title_fullStr Distinguishing active from quiescent disease in ANCA-associated vasculitis using attenuated total reflection Fourier-transform infrared spectroscopy
title_full_unstemmed Distinguishing active from quiescent disease in ANCA-associated vasculitis using attenuated total reflection Fourier-transform infrared spectroscopy
title_sort distinguishing active from quiescent disease in anca-associated vasculitis using attenuated total reflection fourier-transform infrared spectroscopy
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/23acb19535a346939d22f09332fcf8e9
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