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Associations of quantitative susceptibility mapping with Alzheimer’s disease clinical and imaging markers

Altered iron metabolism has been hypothesized to be associated with Alzheimer’s disease pathology, and prior work has shown associations between iron load and beta amyloid plaques. Quantitative susceptibility mapping (QSM) is a recently popularized MR technique to infer local tissue susceptibility s...

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Autores principales: Cogswell, Petrice M., Wiste, Heather J., Senjem, Matthew L., Gunter, Jeffrey L., Weigand, Stephen D., Schwarz, Christopher G., Arani, Arvin, Therneau, Terry M., Lowe, Val J., Knopman, David S., Botha, Hugo, Graff-Radford, Jonathan, Jones, David T., Kantarci, Kejal, Vemuri, Prashanthi, Boeve, Bradley F, Mielke, Michelle M., Petersen, Ronald C., Jack, Clifford R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7860631/
https://www.ncbi.nlm.nih.gov/pubmed/33035667
http://dx.doi.org/10.1016/j.neuroimage.2020.117433
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author Cogswell, Petrice M.
Wiste, Heather J.
Senjem, Matthew L.
Gunter, Jeffrey L.
Weigand, Stephen D.
Schwarz, Christopher G.
Arani, Arvin
Therneau, Terry M.
Lowe, Val J.
Knopman, David S.
Botha, Hugo
Graff-Radford, Jonathan
Jones, David T.
Kantarci, Kejal
Vemuri, Prashanthi
Boeve, Bradley F
Mielke, Michelle M.
Petersen, Ronald C.
Jack, Clifford R.
author_facet Cogswell, Petrice M.
Wiste, Heather J.
Senjem, Matthew L.
Gunter, Jeffrey L.
Weigand, Stephen D.
Schwarz, Christopher G.
Arani, Arvin
Therneau, Terry M.
Lowe, Val J.
Knopman, David S.
Botha, Hugo
Graff-Radford, Jonathan
Jones, David T.
Kantarci, Kejal
Vemuri, Prashanthi
Boeve, Bradley F
Mielke, Michelle M.
Petersen, Ronald C.
Jack, Clifford R.
author_sort Cogswell, Petrice M.
collection PubMed
description Altered iron metabolism has been hypothesized to be associated with Alzheimer’s disease pathology, and prior work has shown associations between iron load and beta amyloid plaques. Quantitative susceptibility mapping (QSM) is a recently popularized MR technique to infer local tissue susceptibility secondary to the presence of iron as well as other minerals. Greater QSM values imply greater iron concentration in tissue. QSM has been used to study relationships between cerebral iron load and established markers of Alzheimer’s disease, however relationships remain unclear. In this work we study QSM signal characteristics and associations between susceptibility measured on QSM and established clinical and imaging markers of Alzheimer’s disease. The study included 421 participants (234 male, median age 70 years, range 34–97 years) from the Mayo Clinic Study of Aging and Alzheimer’s Disease Research Center; 296 (70%) had a diagnosis of cognitively unimpaired, 69 (16%) mild cognitive impairment, and 56 (13%) amnestic dementia. All participants had multi-echo gradient recalled echo imaging, PiB amyloid PET, and Tauvid tau PET. Variance components analysis showed that variation in cortical susceptibility across participants was low. Linear regression models were fit to assess associations with regional susceptibility. Expected increases in susceptibility were found with older age and cognitive impairment in the deep and inferior gray nuclei (pallidum, putamen, substantia nigra, subthalamic nucleus) (betas: 0.0017 to 0.0053 ppm for a 10 year increase in age, p = 0.03 to < 0.001; betas: 0.0021 to 0.0058 ppm for a 5 point decrease in Short Test of Mental Status, p = 0.003 to p < 0.001). Effect sizes in cortical regions were smaller, and the age associations were generally negative. Higher susceptibility was significantly associated with higher amyloid PET SUVR in the pallidum and putamen (betas: 0.0029 and 0.0012 ppm for a 20% increase in amyloid PET, p = 0.05 and 0.02, respectively), higher tau PET in the basal ganglia with the largest effect size in the pallidum (0.0082 ppm for a 20% increase in tau PET, p < 0.001), and with lower cortical gray matter volume in the medial temporal lobe (0.0006 ppm for a 20% decrease in volume, p = 0.03). Overall, these findings suggest that susceptibility in the deep and inferior gray nuclei, particularly the pallidum and putamen, may be a marker of cognitive decline, amyloid deposition, and off-target binding of the tau ligand. Although iron has been demonstrated in amyloid plaques and in association with neurodegeneration, it is of insufficient quantity to be reliably detected in the cortex using this implementation of QSM.
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spelling pubmed-78606312021-02-04 Associations of quantitative susceptibility mapping with Alzheimer’s disease clinical and imaging markers Cogswell, Petrice M. Wiste, Heather J. Senjem, Matthew L. Gunter, Jeffrey L. Weigand, Stephen D. Schwarz, Christopher G. Arani, Arvin Therneau, Terry M. Lowe, Val J. Knopman, David S. Botha, Hugo Graff-Radford, Jonathan Jones, David T. Kantarci, Kejal Vemuri, Prashanthi Boeve, Bradley F Mielke, Michelle M. Petersen, Ronald C. Jack, Clifford R. Neuroimage Article Altered iron metabolism has been hypothesized to be associated with Alzheimer’s disease pathology, and prior work has shown associations between iron load and beta amyloid plaques. Quantitative susceptibility mapping (QSM) is a recently popularized MR technique to infer local tissue susceptibility secondary to the presence of iron as well as other minerals. Greater QSM values imply greater iron concentration in tissue. QSM has been used to study relationships between cerebral iron load and established markers of Alzheimer’s disease, however relationships remain unclear. In this work we study QSM signal characteristics and associations between susceptibility measured on QSM and established clinical and imaging markers of Alzheimer’s disease. The study included 421 participants (234 male, median age 70 years, range 34–97 years) from the Mayo Clinic Study of Aging and Alzheimer’s Disease Research Center; 296 (70%) had a diagnosis of cognitively unimpaired, 69 (16%) mild cognitive impairment, and 56 (13%) amnestic dementia. All participants had multi-echo gradient recalled echo imaging, PiB amyloid PET, and Tauvid tau PET. Variance components analysis showed that variation in cortical susceptibility across participants was low. Linear regression models were fit to assess associations with regional susceptibility. Expected increases in susceptibility were found with older age and cognitive impairment in the deep and inferior gray nuclei (pallidum, putamen, substantia nigra, subthalamic nucleus) (betas: 0.0017 to 0.0053 ppm for a 10 year increase in age, p = 0.03 to < 0.001; betas: 0.0021 to 0.0058 ppm for a 5 point decrease in Short Test of Mental Status, p = 0.003 to p < 0.001). Effect sizes in cortical regions were smaller, and the age associations were generally negative. Higher susceptibility was significantly associated with higher amyloid PET SUVR in the pallidum and putamen (betas: 0.0029 and 0.0012 ppm for a 20% increase in amyloid PET, p = 0.05 and 0.02, respectively), higher tau PET in the basal ganglia with the largest effect size in the pallidum (0.0082 ppm for a 20% increase in tau PET, p < 0.001), and with lower cortical gray matter volume in the medial temporal lobe (0.0006 ppm for a 20% decrease in volume, p = 0.03). Overall, these findings suggest that susceptibility in the deep and inferior gray nuclei, particularly the pallidum and putamen, may be a marker of cognitive decline, amyloid deposition, and off-target binding of the tau ligand. Although iron has been demonstrated in amyloid plaques and in association with neurodegeneration, it is of insufficient quantity to be reliably detected in the cortex using this implementation of QSM. 2020-10-06 2021-01-01 /pmc/articles/PMC7860631/ /pubmed/33035667 http://dx.doi.org/10.1016/j.neuroimage.2020.117433 Text en This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Article
Cogswell, Petrice M.
Wiste, Heather J.
Senjem, Matthew L.
Gunter, Jeffrey L.
Weigand, Stephen D.
Schwarz, Christopher G.
Arani, Arvin
Therneau, Terry M.
Lowe, Val J.
Knopman, David S.
Botha, Hugo
Graff-Radford, Jonathan
Jones, David T.
Kantarci, Kejal
Vemuri, Prashanthi
Boeve, Bradley F
Mielke, Michelle M.
Petersen, Ronald C.
Jack, Clifford R.
Associations of quantitative susceptibility mapping with Alzheimer’s disease clinical and imaging markers
title Associations of quantitative susceptibility mapping with Alzheimer’s disease clinical and imaging markers
title_full Associations of quantitative susceptibility mapping with Alzheimer’s disease clinical and imaging markers
title_fullStr Associations of quantitative susceptibility mapping with Alzheimer’s disease clinical and imaging markers
title_full_unstemmed Associations of quantitative susceptibility mapping with Alzheimer’s disease clinical and imaging markers
title_short Associations of quantitative susceptibility mapping with Alzheimer’s disease clinical and imaging markers
title_sort associations of quantitative susceptibility mapping with alzheimer’s disease clinical and imaging markers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7860631/
https://www.ncbi.nlm.nih.gov/pubmed/33035667
http://dx.doi.org/10.1016/j.neuroimage.2020.117433
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