Cargando…
Distinguishing active from quiescent disease in ANCA-associated vasculitis using attenuated total reflection Fourier-transform infrared spectroscopy
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 refle...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113456/ https://www.ncbi.nlm.nih.gov/pubmed/33976282 http://dx.doi.org/10.1038/s41598-021-89344-8 |
_version_ | 1783690863256272896 |
---|---|
author | Morris, Adam D. Morais, Camilo L. M. Lima, Kássio M. G. Freitas, Daniel L. D. Brady, Mark E. Dhaygude, Ajay P. Rowbottom, Anthony W. Martin, Francis L. |
author_facet | Morris, Adam D. Morais, Camilo L. M. Lima, Kássio M. G. Freitas, Daniel L. D. Brady, Mark E. Dhaygude, Ajay P. Rowbottom, Anthony W. Martin, Francis L. |
author_sort | Morris, Adam D. |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-8113456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81134562021-05-12 Distinguishing active from quiescent disease in ANCA-associated vasculitis using attenuated total reflection Fourier-transform infrared spectroscopy Morris, Adam D. Morais, Camilo L. M. Lima, Kássio M. G. Freitas, Daniel L. D. Brady, Mark E. Dhaygude, Ajay P. Rowbottom, Anthony W. Martin, Francis L. Sci Rep Article 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. Nature Publishing Group UK 2021-05-11 /pmc/articles/PMC8113456/ /pubmed/33976282 http://dx.doi.org/10.1038/s41598-021-89344-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Morris, Adam D. Morais, Camilo L. M. Lima, Kássio M. G. Freitas, Daniel L. D. Brady, Mark E. Dhaygude, Ajay P. Rowbottom, Anthony W. Martin, Francis L. Distinguishing active from quiescent disease in ANCA-associated vasculitis using attenuated total reflection Fourier-transform infrared spectroscopy |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113456/ https://www.ncbi.nlm.nih.gov/pubmed/33976282 http://dx.doi.org/10.1038/s41598-021-89344-8 |
work_keys_str_mv | AT morrisadamd distinguishingactivefromquiescentdiseaseinancaassociatedvasculitisusingattenuatedtotalreflectionfouriertransforminfraredspectroscopy AT moraiscamilolm distinguishingactivefromquiescentdiseaseinancaassociatedvasculitisusingattenuatedtotalreflectionfouriertransforminfraredspectroscopy AT limakassiomg distinguishingactivefromquiescentdiseaseinancaassociatedvasculitisusingattenuatedtotalreflectionfouriertransforminfraredspectroscopy AT freitasdanielld distinguishingactivefromquiescentdiseaseinancaassociatedvasculitisusingattenuatedtotalreflectionfouriertransforminfraredspectroscopy AT bradymarke distinguishingactivefromquiescentdiseaseinancaassociatedvasculitisusingattenuatedtotalreflectionfouriertransforminfraredspectroscopy AT dhaygudeajayp distinguishingactivefromquiescentdiseaseinancaassociatedvasculitisusingattenuatedtotalreflectionfouriertransforminfraredspectroscopy AT rowbottomanthonyw distinguishingactivefromquiescentdiseaseinancaassociatedvasculitisusingattenuatedtotalreflectionfouriertransforminfraredspectroscopy AT martinfrancisl distinguishingactivefromquiescentdiseaseinancaassociatedvasculitisusingattenuatedtotalreflectionfouriertransforminfraredspectroscopy |