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Sources of bias and limitations of thrombinography: inner filter effect and substrate depletion at the edge of failure algorithm

BACKGROUND: Fluorogenic thrombin generation (TG) is a global hemostasis assay that provides an overall representation of hemostasis potential. However, the accurate detection of thrombin activity in plasma may be affected by artifacts inherent to the assay-associated fluorogenic substrate. The signi...

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Autores principales: Jackson, Joseph W., Longstaff, Colin, Woodle, Samuel A., Chang, William C., Ovanesov, Mikhail V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548689/
https://www.ncbi.nlm.nih.gov/pubmed/37794418
http://dx.doi.org/10.1186/s12959-023-00549-5
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author Jackson, Joseph W.
Longstaff, Colin
Woodle, Samuel A.
Chang, William C.
Ovanesov, Mikhail V.
author_facet Jackson, Joseph W.
Longstaff, Colin
Woodle, Samuel A.
Chang, William C.
Ovanesov, Mikhail V.
author_sort Jackson, Joseph W.
collection PubMed
description BACKGROUND: Fluorogenic thrombin generation (TG) is a global hemostasis assay that provides an overall representation of hemostasis potential. However, the accurate detection of thrombin activity in plasma may be affected by artifacts inherent to the assay-associated fluorogenic substrate. The significance of the fluorogenic artifacts or their corrections has not been studied in hemophilia treatment applications. METHODS: We sought to investigate TG in hemophilia plasma samples under typical and worst-case fluorogenic artifact conditions and assess the performance of artifact correction algorithms. Severe hemophilic plasma with or without added Factor VIII (FVIII) was evaluated using commercially available and in-house TG reagents, instruments, and software packages. The inner filter effect (IFE) was induced by spiking elevated amounts of fluorophore 7-amino-4-methylcoumarin (AMC) into plasma prior to the TG experiment. Substrate consumption was modeled by adding decreasing amounts of Z-Gly-Gly-Arg-AMC (ZGGR-AMC) to plasma or performing TG in antithrombin deficient plasma. RESULTS: All algorithms corrected the AMC-induced IFE and antithrombin-deficiency induced substrate consumption up to a certain level of either artifact (edge of failure) upon which TG results were not returned or overestimated. TG values in FVIII deficient (FVIII-DP) or supplemented plasma were affected similarly. Normalization of FVIII-DP resulted in a more accurate correction of substrate artifacts than algorithmic methods. CONCLUSIONS: Correction algorithms may be effective in situations of moderate fluorogenic substrate artifacts inherent to highly procoagulant samples, but correction may not be required under typical conditions for hemophilia treatment studies if TG parameters can be normalized to a reference plasma sample. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12959-023-00549-5.
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spelling pubmed-105486892023-10-05 Sources of bias and limitations of thrombinography: inner filter effect and substrate depletion at the edge of failure algorithm Jackson, Joseph W. Longstaff, Colin Woodle, Samuel A. Chang, William C. Ovanesov, Mikhail V. Thromb J Research BACKGROUND: Fluorogenic thrombin generation (TG) is a global hemostasis assay that provides an overall representation of hemostasis potential. However, the accurate detection of thrombin activity in plasma may be affected by artifacts inherent to the assay-associated fluorogenic substrate. The significance of the fluorogenic artifacts or their corrections has not been studied in hemophilia treatment applications. METHODS: We sought to investigate TG in hemophilia plasma samples under typical and worst-case fluorogenic artifact conditions and assess the performance of artifact correction algorithms. Severe hemophilic plasma with or without added Factor VIII (FVIII) was evaluated using commercially available and in-house TG reagents, instruments, and software packages. The inner filter effect (IFE) was induced by spiking elevated amounts of fluorophore 7-amino-4-methylcoumarin (AMC) into plasma prior to the TG experiment. Substrate consumption was modeled by adding decreasing amounts of Z-Gly-Gly-Arg-AMC (ZGGR-AMC) to plasma or performing TG in antithrombin deficient plasma. RESULTS: All algorithms corrected the AMC-induced IFE and antithrombin-deficiency induced substrate consumption up to a certain level of either artifact (edge of failure) upon which TG results were not returned or overestimated. TG values in FVIII deficient (FVIII-DP) or supplemented plasma were affected similarly. Normalization of FVIII-DP resulted in a more accurate correction of substrate artifacts than algorithmic methods. CONCLUSIONS: Correction algorithms may be effective in situations of moderate fluorogenic substrate artifacts inherent to highly procoagulant samples, but correction may not be required under typical conditions for hemophilia treatment studies if TG parameters can be normalized to a reference plasma sample. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12959-023-00549-5. BioMed Central 2023-10-04 /pmc/articles/PMC10548689/ /pubmed/37794418 http://dx.doi.org/10.1186/s12959-023-00549-5 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Jackson, Joseph W.
Longstaff, Colin
Woodle, Samuel A.
Chang, William C.
Ovanesov, Mikhail V.
Sources of bias and limitations of thrombinography: inner filter effect and substrate depletion at the edge of failure algorithm
title Sources of bias and limitations of thrombinography: inner filter effect and substrate depletion at the edge of failure algorithm
title_full Sources of bias and limitations of thrombinography: inner filter effect and substrate depletion at the edge of failure algorithm
title_fullStr Sources of bias and limitations of thrombinography: inner filter effect and substrate depletion at the edge of failure algorithm
title_full_unstemmed Sources of bias and limitations of thrombinography: inner filter effect and substrate depletion at the edge of failure algorithm
title_short Sources of bias and limitations of thrombinography: inner filter effect and substrate depletion at the edge of failure algorithm
title_sort sources of bias and limitations of thrombinography: inner filter effect and substrate depletion at the edge of failure algorithm
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548689/
https://www.ncbi.nlm.nih.gov/pubmed/37794418
http://dx.doi.org/10.1186/s12959-023-00549-5
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