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Baseline cerebral metabolism predicts fatigue and cognition in Multiple Sclerosis patients

BACKGROUND: Cerebral metabolic rate of oxygen (CMRO(2)), a measure of global oxygen metabolism, reflects resting cellular activity. The mechanisms underlying fatigue and cognitive dysfunction in multiple sclerosis (MS) remain unknown. If fatigue indeed reflects ongoing autoimmune activity and cortic...

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Autores principales: West, Kl., Sivakolundu, Dk., Maruthy, Gb., Zuppichini, Md., Liu, P., Thomas, Bp., Spence, Js., Lu, H., Okuda, Dt., Rypma, B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298673/
https://www.ncbi.nlm.nih.gov/pubmed/32544855
http://dx.doi.org/10.1016/j.nicl.2020.102281
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author West, Kl.
Sivakolundu, Dk.
Maruthy, Gb.
Zuppichini, Md.
Liu, P.
Thomas, Bp.
Spence, Js.
Lu, H.
Okuda, Dt.
Rypma, B.
author_facet West, Kl.
Sivakolundu, Dk.
Maruthy, Gb.
Zuppichini, Md.
Liu, P.
Thomas, Bp.
Spence, Js.
Lu, H.
Okuda, Dt.
Rypma, B.
author_sort West, Kl.
collection PubMed
description BACKGROUND: Cerebral metabolic rate of oxygen (CMRO(2)), a measure of global oxygen metabolism, reflects resting cellular activity. The mechanisms underlying fatigue and cognitive dysfunction in multiple sclerosis (MS) remain unknown. If fatigue indeed reflects ongoing autoimmune activity and cortical reorganization, and cognitive decline is the result of gray matter atrophy and white matter degeneration, we postulate that changes in CMRO(2) should reflect disease activity and predict these symptoms. OBJECTIVE: We sought to utilize T(2)-Relaxation-Under-Spin-Tagging (TRUST) and phase-contrast (PC) MRI to measure global CMRO(2) to understand its relationships to white matter microstructure, fatigue and cognitive dysfunction. METHODS: We measured venous oxygenation (TRUST) and cerebral blood flow (PC-MRI) in superior sagittal sinus to calculate global CMRO(2) and diffusion tensor imaging (DTI) to evaluate white matter microstructure in healthy controls (HC) and MS patients. Participants underwent neuropsychological examinations including Modified Fatigue Impact Scale (MFIS) and Symbol-Digit-Modalities Test (SDMT). RESULTS: We observed lower CMRO(2) in MS patients compared to HC. After controlling for demographic and disease characteristics (i.e., age, education, disability, lesion volume), CMRO(2) predicted increased fatigue (MFIS) and reduced cognitive performance (SDMT) in MS patients. Finally, MS patients with higher CMRO(2) have reduced FA in normal-appearing white-matter. CONCLUSION: Altogether, these results suggest that increased CMRO(2) reflects ongoing demyelination and autoimmune activity which plays an important role in both fatigue and cognitive dysfunction.
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spelling pubmed-72986732020-06-19 Baseline cerebral metabolism predicts fatigue and cognition in Multiple Sclerosis patients West, Kl. Sivakolundu, Dk. Maruthy, Gb. Zuppichini, Md. Liu, P. Thomas, Bp. Spence, Js. Lu, H. Okuda, Dt. Rypma, B. Neuroimage Clin Regular Article BACKGROUND: Cerebral metabolic rate of oxygen (CMRO(2)), a measure of global oxygen metabolism, reflects resting cellular activity. The mechanisms underlying fatigue and cognitive dysfunction in multiple sclerosis (MS) remain unknown. If fatigue indeed reflects ongoing autoimmune activity and cortical reorganization, and cognitive decline is the result of gray matter atrophy and white matter degeneration, we postulate that changes in CMRO(2) should reflect disease activity and predict these symptoms. OBJECTIVE: We sought to utilize T(2)-Relaxation-Under-Spin-Tagging (TRUST) and phase-contrast (PC) MRI to measure global CMRO(2) to understand its relationships to white matter microstructure, fatigue and cognitive dysfunction. METHODS: We measured venous oxygenation (TRUST) and cerebral blood flow (PC-MRI) in superior sagittal sinus to calculate global CMRO(2) and diffusion tensor imaging (DTI) to evaluate white matter microstructure in healthy controls (HC) and MS patients. Participants underwent neuropsychological examinations including Modified Fatigue Impact Scale (MFIS) and Symbol-Digit-Modalities Test (SDMT). RESULTS: We observed lower CMRO(2) in MS patients compared to HC. After controlling for demographic and disease characteristics (i.e., age, education, disability, lesion volume), CMRO(2) predicted increased fatigue (MFIS) and reduced cognitive performance (SDMT) in MS patients. Finally, MS patients with higher CMRO(2) have reduced FA in normal-appearing white-matter. CONCLUSION: Altogether, these results suggest that increased CMRO(2) reflects ongoing demyelination and autoimmune activity which plays an important role in both fatigue and cognitive dysfunction. Elsevier 2020-05-26 /pmc/articles/PMC7298673/ /pubmed/32544855 http://dx.doi.org/10.1016/j.nicl.2020.102281 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
West, Kl.
Sivakolundu, Dk.
Maruthy, Gb.
Zuppichini, Md.
Liu, P.
Thomas, Bp.
Spence, Js.
Lu, H.
Okuda, Dt.
Rypma, B.
Baseline cerebral metabolism predicts fatigue and cognition in Multiple Sclerosis patients
title Baseline cerebral metabolism predicts fatigue and cognition in Multiple Sclerosis patients
title_full Baseline cerebral metabolism predicts fatigue and cognition in Multiple Sclerosis patients
title_fullStr Baseline cerebral metabolism predicts fatigue and cognition in Multiple Sclerosis patients
title_full_unstemmed Baseline cerebral metabolism predicts fatigue and cognition in Multiple Sclerosis patients
title_short Baseline cerebral metabolism predicts fatigue and cognition in Multiple Sclerosis patients
title_sort baseline cerebral metabolism predicts fatigue and cognition in multiple sclerosis patients
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298673/
https://www.ncbi.nlm.nih.gov/pubmed/32544855
http://dx.doi.org/10.1016/j.nicl.2020.102281
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