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Dopamine transporter imaging predicts clinically‐defined α‐synucleinopathy in REM sleep behavior disorder

INTRODUCTION: Individuals with idiopathic rapid eye movement sleep behavior disorder (iRBD) are at high risk for a clinical diagnosis of an α‐synucleinopathy (aSN). They could serve as a key population for disease‐modifying trials. Abnormal dopamine transporter (DAT) imaging is a strong candidate bi...

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Autores principales: Chahine, Lana M., Brumm, Michael C., Caspell‐Garcia, Chelsea, Oertel, Wolfgang, Mollenhauer, Brit, Amara, Amy, Fernandez‐Arcos, Ana, Tolosa, Eduardo, Simonet, Cristina, Hogl, Birgit, Videnovic, Aleksandar, Hutten, Samantha J., Tanner, Caroline, Weintraub, Daniel, Burghardt, Elliot, Coffey, Christopher, Cho, Hyunkeun R., Kieburtz, Karl, Poston, Kathleen L., Merchant, Kalpana, Galasko, Douglas, Foroud, Tatiana, Siderowf, Andrew, Marek, Kenneth, Simuni, Tanya, Iranzo, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818144/
https://www.ncbi.nlm.nih.gov/pubmed/33321002
http://dx.doi.org/10.1002/acn3.51269
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author Chahine, Lana M.
Brumm, Michael C.
Caspell‐Garcia, Chelsea
Oertel, Wolfgang
Mollenhauer, Brit
Amara, Amy
Fernandez‐Arcos, Ana
Tolosa, Eduardo
Simonet, Cristina
Hogl, Birgit
Videnovic, Aleksandar
Hutten, Samantha J.
Tanner, Caroline
Weintraub, Daniel
Burghardt, Elliot
Coffey, Christopher
Cho, Hyunkeun R.
Kieburtz, Karl
Poston, Kathleen L.
Merchant, Kalpana
Galasko, Douglas
Foroud, Tatiana
Siderowf, Andrew
Marek, Kenneth
Simuni, Tanya
Iranzo, Alex
author_facet Chahine, Lana M.
Brumm, Michael C.
Caspell‐Garcia, Chelsea
Oertel, Wolfgang
Mollenhauer, Brit
Amara, Amy
Fernandez‐Arcos, Ana
Tolosa, Eduardo
Simonet, Cristina
Hogl, Birgit
Videnovic, Aleksandar
Hutten, Samantha J.
Tanner, Caroline
Weintraub, Daniel
Burghardt, Elliot
Coffey, Christopher
Cho, Hyunkeun R.
Kieburtz, Karl
Poston, Kathleen L.
Merchant, Kalpana
Galasko, Douglas
Foroud, Tatiana
Siderowf, Andrew
Marek, Kenneth
Simuni, Tanya
Iranzo, Alex
author_sort Chahine, Lana M.
collection PubMed
description INTRODUCTION: Individuals with idiopathic rapid eye movement sleep behavior disorder (iRBD) are at high risk for a clinical diagnosis of an α‐synucleinopathy (aSN). They could serve as a key population for disease‐modifying trials. Abnormal dopamine transporter (DAT) imaging is a strong candidate biomarker for risk of aSN diagnosis in iRBD. Our primary objective was to identify a quantitative measure of DAT imaging that predicts diagnosis of clinically‐defined aSN in iRBD. METHODS: The sample included individuals with iRBD, early Parkinson’s Disease (PD), and healthy controls (HC) enrolled in the Parkinson Progression Marker Initiative, a longitudinal, observational, international, multicenter study. The iRBD cohort was enriched with individuals with abnormal DAT binding at baseline. Motor and nonmotor measures were compared across groups. DAT specific binding ratios (SBR) were used to calculate the percent of expected DAT binding for age and sex using normative data from HCs. Receiver operative characteristic analyses identified a baseline DAT binding cutoff that distinguishes iRBD participants diagnosed with an aSN in follow‐up versus those not diagnosed. RESULTS: The sample included 38 with iRBD, 205 with PD, and 92 HC who underwent DAT‐SPECT at baseline. Over 4.7 years of mean follow‐up, 14 (36.84%) with iRBD were clinically diagnosed with aSN. Risk of aSN diagnosis was significantly elevated among those with baseline putamen SBR ≤ 48% of that expected for age and sex, relative to those above this cutoff (hazard ratio = 17.8 [95%CI: 3.79–83.3], P = 0.0003). CONCLUSION: We demonstrate the utility of DAT SBR to identify individuals with iRBD with increased short‐term risk of an aSN diagnosis.
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spelling pubmed-78181442021-01-29 Dopamine transporter imaging predicts clinically‐defined α‐synucleinopathy in REM sleep behavior disorder Chahine, Lana M. Brumm, Michael C. Caspell‐Garcia, Chelsea Oertel, Wolfgang Mollenhauer, Brit Amara, Amy Fernandez‐Arcos, Ana Tolosa, Eduardo Simonet, Cristina Hogl, Birgit Videnovic, Aleksandar Hutten, Samantha J. Tanner, Caroline Weintraub, Daniel Burghardt, Elliot Coffey, Christopher Cho, Hyunkeun R. Kieburtz, Karl Poston, Kathleen L. Merchant, Kalpana Galasko, Douglas Foroud, Tatiana Siderowf, Andrew Marek, Kenneth Simuni, Tanya Iranzo, Alex Ann Clin Transl Neurol Research Articles INTRODUCTION: Individuals with idiopathic rapid eye movement sleep behavior disorder (iRBD) are at high risk for a clinical diagnosis of an α‐synucleinopathy (aSN). They could serve as a key population for disease‐modifying trials. Abnormal dopamine transporter (DAT) imaging is a strong candidate biomarker for risk of aSN diagnosis in iRBD. Our primary objective was to identify a quantitative measure of DAT imaging that predicts diagnosis of clinically‐defined aSN in iRBD. METHODS: The sample included individuals with iRBD, early Parkinson’s Disease (PD), and healthy controls (HC) enrolled in the Parkinson Progression Marker Initiative, a longitudinal, observational, international, multicenter study. The iRBD cohort was enriched with individuals with abnormal DAT binding at baseline. Motor and nonmotor measures were compared across groups. DAT specific binding ratios (SBR) were used to calculate the percent of expected DAT binding for age and sex using normative data from HCs. Receiver operative characteristic analyses identified a baseline DAT binding cutoff that distinguishes iRBD participants diagnosed with an aSN in follow‐up versus those not diagnosed. RESULTS: The sample included 38 with iRBD, 205 with PD, and 92 HC who underwent DAT‐SPECT at baseline. Over 4.7 years of mean follow‐up, 14 (36.84%) with iRBD were clinically diagnosed with aSN. Risk of aSN diagnosis was significantly elevated among those with baseline putamen SBR ≤ 48% of that expected for age and sex, relative to those above this cutoff (hazard ratio = 17.8 [95%CI: 3.79–83.3], P = 0.0003). CONCLUSION: We demonstrate the utility of DAT SBR to identify individuals with iRBD with increased short‐term risk of an aSN diagnosis. John Wiley and Sons Inc. 2020-12-15 /pmc/articles/PMC7818144/ /pubmed/33321002 http://dx.doi.org/10.1002/acn3.51269 Text en © 2020 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Chahine, Lana M.
Brumm, Michael C.
Caspell‐Garcia, Chelsea
Oertel, Wolfgang
Mollenhauer, Brit
Amara, Amy
Fernandez‐Arcos, Ana
Tolosa, Eduardo
Simonet, Cristina
Hogl, Birgit
Videnovic, Aleksandar
Hutten, Samantha J.
Tanner, Caroline
Weintraub, Daniel
Burghardt, Elliot
Coffey, Christopher
Cho, Hyunkeun R.
Kieburtz, Karl
Poston, Kathleen L.
Merchant, Kalpana
Galasko, Douglas
Foroud, Tatiana
Siderowf, Andrew
Marek, Kenneth
Simuni, Tanya
Iranzo, Alex
Dopamine transporter imaging predicts clinically‐defined α‐synucleinopathy in REM sleep behavior disorder
title Dopamine transporter imaging predicts clinically‐defined α‐synucleinopathy in REM sleep behavior disorder
title_full Dopamine transporter imaging predicts clinically‐defined α‐synucleinopathy in REM sleep behavior disorder
title_fullStr Dopamine transporter imaging predicts clinically‐defined α‐synucleinopathy in REM sleep behavior disorder
title_full_unstemmed Dopamine transporter imaging predicts clinically‐defined α‐synucleinopathy in REM sleep behavior disorder
title_short Dopamine transporter imaging predicts clinically‐defined α‐synucleinopathy in REM sleep behavior disorder
title_sort dopamine transporter imaging predicts clinically‐defined α‐synucleinopathy in rem sleep behavior disorder
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818144/
https://www.ncbi.nlm.nih.gov/pubmed/33321002
http://dx.doi.org/10.1002/acn3.51269
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