Cargando…
Dual-Peak Lorentzian CEST MRI for antiretroviral drug brain distribution
OBJECTIVES: Spatial–temporal biodistribution of antiretroviral drugs (ARVs) can now be achieved using MRI by utilizing chemical exchange saturation transfer (CEST) contrasts. However, the presence of biomolecules in tissue limits the specificity of current CEST methods. To overcome this limitation,...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070014/ https://www.ncbi.nlm.nih.gov/pubmed/37027345 http://dx.doi.org/10.1515/nipt-2022-0012 |
_version_ | 1785018950754500608 |
---|---|
author | Liu, Yutong Gauthier, Gabriel C. Gendelman, Howard E. Bade, Aditya N. |
author_facet | Liu, Yutong Gauthier, Gabriel C. Gendelman, Howard E. Bade, Aditya N. |
author_sort | Liu, Yutong |
collection | PubMed |
description | OBJECTIVES: Spatial–temporal biodistribution of antiretroviral drugs (ARVs) can now be achieved using MRI by utilizing chemical exchange saturation transfer (CEST) contrasts. However, the presence of biomolecules in tissue limits the specificity of current CEST methods. To overcome this limitation, a Lorentzian line-shape fitting algorithm was developed that simultaneously fits CEST peaks of ARV protons on its Z-spectrum. CASE PRESENTATION: This algorithm was tested on the common first line ARV, lamivudine (3TC), that has two peaks resulting from amino (–NH(2)) and hydroxyl (–OH) protons in 3TC. The developed dual-peak Lorentzian function fitted these two peaks simultaneously, and used the ratio of –NH(2) and –OH CEST contrasts as a constraint parameter to measure 3TC presence in brains of drug-treated mice. 3TC biodistribution calculated using the new algorithm was compared against actual drug levels measured using UPLC-MS/MS. In comparison to the method that employs the –NH(2) CEST peak only, the dual-peak Lorentzian fitting algorithm showed stronger correlation with brain tissue 3TC levels, signifying estimation of actual drug levels. CONCLUSIONS: We concluded that 3TC levels can be extracted from confounding CEST effects of tissue biomolecules resulting in improved specificity for drug mapping. This algorithm can be expanded to measure a variety of ARVs using CEST MRI. |
format | Online Article Text |
id | pubmed-10070014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | De Gruyter |
record_format | MEDLINE/PubMed |
spelling | pubmed-100700142023-04-04 Dual-Peak Lorentzian CEST MRI for antiretroviral drug brain distribution Liu, Yutong Gauthier, Gabriel C. Gendelman, Howard E. Bade, Aditya N. NeuroImmune Pharm Ther Brief Report OBJECTIVES: Spatial–temporal biodistribution of antiretroviral drugs (ARVs) can now be achieved using MRI by utilizing chemical exchange saturation transfer (CEST) contrasts. However, the presence of biomolecules in tissue limits the specificity of current CEST methods. To overcome this limitation, a Lorentzian line-shape fitting algorithm was developed that simultaneously fits CEST peaks of ARV protons on its Z-spectrum. CASE PRESENTATION: This algorithm was tested on the common first line ARV, lamivudine (3TC), that has two peaks resulting from amino (–NH(2)) and hydroxyl (–OH) protons in 3TC. The developed dual-peak Lorentzian function fitted these two peaks simultaneously, and used the ratio of –NH(2) and –OH CEST contrasts as a constraint parameter to measure 3TC presence in brains of drug-treated mice. 3TC biodistribution calculated using the new algorithm was compared against actual drug levels measured using UPLC-MS/MS. In comparison to the method that employs the –NH(2) CEST peak only, the dual-peak Lorentzian fitting algorithm showed stronger correlation with brain tissue 3TC levels, signifying estimation of actual drug levels. CONCLUSIONS: We concluded that 3TC levels can be extracted from confounding CEST effects of tissue biomolecules resulting in improved specificity for drug mapping. This algorithm can be expanded to measure a variety of ARVs using CEST MRI. De Gruyter 2023-03-25 2022-09-13 /pmc/articles/PMC10070014/ /pubmed/37027345 http://dx.doi.org/10.1515/nipt-2022-0012 Text en © 2022 the author(s), published by De Gruyter, Berlin/Boston https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. |
spellingShingle | Brief Report Liu, Yutong Gauthier, Gabriel C. Gendelman, Howard E. Bade, Aditya N. Dual-Peak Lorentzian CEST MRI for antiretroviral drug brain distribution |
title | Dual-Peak Lorentzian CEST MRI for antiretroviral drug brain distribution |
title_full | Dual-Peak Lorentzian CEST MRI for antiretroviral drug brain distribution |
title_fullStr | Dual-Peak Lorentzian CEST MRI for antiretroviral drug brain distribution |
title_full_unstemmed | Dual-Peak Lorentzian CEST MRI for antiretroviral drug brain distribution |
title_short | Dual-Peak Lorentzian CEST MRI for antiretroviral drug brain distribution |
title_sort | dual-peak lorentzian cest mri for antiretroviral drug brain distribution |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070014/ https://www.ncbi.nlm.nih.gov/pubmed/37027345 http://dx.doi.org/10.1515/nipt-2022-0012 |
work_keys_str_mv | AT liuyutong dualpeaklorentziancestmriforantiretroviraldrugbraindistribution AT gauthiergabrielc dualpeaklorentziancestmriforantiretroviraldrugbraindistribution AT gendelmanhowarde dualpeaklorentziancestmriforantiretroviraldrugbraindistribution AT badeadityan dualpeaklorentziancestmriforantiretroviraldrugbraindistribution |