The role of biomarkers and imaging in Parkinson's disease.
Identifieur interne : 000163 ( Main/Exploration ); précédent : 000162; suivant : 000164The role of biomarkers and imaging in Parkinson's disease.
Auteurs : Musleh A. Algarni [Canada] ; A Jon Stoessl [Canada]Source :
- Expert review of neurotherapeutics [ 1744-8360 ] ; 2016.
English descriptors
- KwdEn :
- Amyloid beta-Peptides (cerebrospinal fluid), Biomarkers (cerebrospinal fluid), Biomarkers (metabolism), Brain (diagnostic imaging), Brain (pathology), Brain (physiopathology), Diffusion Tensor Imaging, Disease Progression, Dopaminergic Neurons (diagnostic imaging), Dopaminergic Neurons (pathology), Functional Neuroimaging, Humans, Inflammation, Intracellular Signaling Peptides and Proteins (genetics), Magnetic Resonance Imaging, Mutation, Neuroimaging, Oncogene Proteins (genetics), Oxidative Stress, Parkinson Disease (cerebrospinal fluid), Parkinson Disease (diagnosis), Parkinson Disease (physiopathology), Peptide Fragments (cerebrospinal fluid), Positron-Emission Tomography, Protein Deglycase DJ-1, Substantia Nigra (diagnostic imaging), Substantia Nigra (pathology), Substantia Nigra (physiopathology), Tomography, Emission-Computed, Single-Photon, alpha-Synuclein (cerebrospinal fluid), alpha-Synuclein (metabolism), tau Proteins (cerebrospinal fluid).
- MESH :
- chemical , cerebrospinal fluid : Amyloid beta-Peptides, Biomarkers, Peptide Fragments, alpha-Synuclein, tau Proteins.
- chemical , genetics : Intracellular Signaling Peptides and Proteins, Oncogene Proteins.
- chemical , metabolism : Biomarkers, alpha-Synuclein.
- cerebrospinal fluid : Parkinson Disease.
- diagnosis : Parkinson Disease.
- diagnostic imaging : Brain, Dopaminergic Neurons, Substantia Nigra.
- pathology : Brain, Dopaminergic Neurons, Substantia Nigra.
- physiopathology : Brain, Parkinson Disease, Substantia Nigra.
- Diffusion Tensor Imaging, Disease Progression, Functional Neuroimaging, Humans, Inflammation, Magnetic Resonance Imaging, Mutation, Neuroimaging, Oxidative Stress, Positron-Emission Tomography, Protein Deglycase DJ-1, Tomography, Emission-Computed, Single-Photon.
Abstract
The diagnosis of Parkinson's disease (PD) currently relies on the appearance of certain clinical features. However, these features appear only years after the loss of nigral dopaminergic neurons. The progression of PD may be measured using clinical rating scales that are subjective and that have a variable inter-rater consistency. There is a growing need for a biomarker that will allow for early detection of the disease as well as provide a measure of disease progression. In this article, we review different biomarkers, with a focus on functional imaging techniques, which while imperfect, currently provide the best approach to this problem. We also discuss the use of structural imaging and emerging progress in other biochemical and molecular markers. While there is no single biomarker that will satisfy all requirements, a combination is likely to be of great use in identifying those subjects most likely to benefit from neuroprotective therapies, as well as in monitoring the effects of any interventions.
DOI: 10.1586/14737175.2016.1135056
PubMed: 26829357
Affiliations:
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Le document en format XML
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Algarni</name><affiliation wicri:level="1"><nlm:affiliation>a Pacific Parkinson's Research Centre , University of British Columbia , Vancouver , Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>a Pacific Parkinson's Research Centre , University of British Columbia , Vancouver </wicri:regionArea><wicri:noRegion>Vancouver </wicri:noRegion></affiliation></author><author><name sortKey="Stoessl, A Jon" sort="Stoessl, A Jon" uniqKey="Stoessl A" first="A Jon" last="Stoessl">A Jon Stoessl</name><affiliation wicri:level="1"><nlm:affiliation>a Pacific Parkinson's Research Centre , University of British Columbia , Vancouver , Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>a Pacific Parkinson's Research Centre , University of British Columbia , Vancouver </wicri:regionArea><wicri:noRegion>Vancouver </wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2016">2016</date><idno type="RBID">pubmed:26829357</idno><idno type="pmid">26829357</idno><idno type="doi">10.1586/14737175.2016.1135056</idno><idno type="wicri:Area/PubMed/Corpus">000322</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000322</idno><idno type="wicri:Area/PubMed/Curation">000322</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000322</idno><idno type="wicri:Area/PubMed/Checkpoint">000322</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000322</idno><idno type="wicri:Area/Ncbi/Merge">001E60</idno><idno type="wicri:Area/Ncbi/Curation">001E60</idno><idno type="wicri:Area/Ncbi/Checkpoint">001E60</idno><idno type="wicri:Area/Main/Merge">000163</idno><idno type="wicri:Area/Main/Curation">000163</idno><idno type="wicri:Area/Main/Exploration">000163</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">The role of biomarkers and imaging in Parkinson's disease.</title><author><name sortKey="Algarni, Musleh A" sort="Algarni, Musleh A" uniqKey="Algarni M" first="Musleh A" last="Algarni">Musleh A. Algarni</name><affiliation wicri:level="1"><nlm:affiliation>a Pacific Parkinson's Research Centre , University of British Columbia , Vancouver , Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>a Pacific Parkinson's Research Centre , University of British Columbia , Vancouver </wicri:regionArea><wicri:noRegion>Vancouver </wicri:noRegion></affiliation></author><author><name sortKey="Stoessl, A Jon" sort="Stoessl, A Jon" uniqKey="Stoessl A" first="A Jon" last="Stoessl">A Jon Stoessl</name><affiliation wicri:level="1"><nlm:affiliation>a Pacific Parkinson's Research Centre , University of British Columbia , Vancouver , Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>a Pacific Parkinson's Research Centre , University of British Columbia , Vancouver </wicri:regionArea><wicri:noRegion>Vancouver </wicri:noRegion></affiliation></author></analytic><series><title level="j">Expert review of neurotherapeutics</title><idno type="eISSN">1744-8360</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Amyloid beta-Peptides (cerebrospinal fluid)</term><term>Biomarkers (cerebrospinal fluid)</term><term>Biomarkers (metabolism)</term><term>Brain (diagnostic imaging)</term><term>Brain (pathology)</term><term>Brain (physiopathology)</term><term>Diffusion Tensor Imaging</term><term>Disease Progression</term><term>Dopaminergic Neurons (diagnostic imaging)</term><term>Dopaminergic Neurons (pathology)</term><term>Functional Neuroimaging</term><term>Humans</term><term>Inflammation</term><term>Intracellular Signaling Peptides and Proteins (genetics)</term><term>Magnetic Resonance Imaging</term><term>Mutation</term><term>Neuroimaging</term><term>Oncogene Proteins (genetics)</term><term>Oxidative Stress</term><term>Parkinson Disease (cerebrospinal fluid)</term><term>Parkinson Disease (diagnosis)</term><term>Parkinson Disease (physiopathology)</term><term>Peptide Fragments (cerebrospinal fluid)</term><term>Positron-Emission Tomography</term><term>Protein Deglycase DJ-1</term><term>Substantia Nigra (diagnostic imaging)</term><term>Substantia Nigra (pathology)</term><term>Substantia Nigra (physiopathology)</term><term>Tomography, Emission-Computed, Single-Photon</term><term>alpha-Synuclein (cerebrospinal fluid)</term><term>alpha-Synuclein (metabolism)</term><term>tau Proteins (cerebrospinal fluid)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="cerebrospinal fluid" xml:lang="en"><term>Amyloid beta-Peptides</term><term>Biomarkers</term><term>Peptide Fragments</term><term>alpha-Synuclein</term><term>tau Proteins</term></keywords><keywords scheme="MESH" type="chemical" qualifier="genetics" xml:lang="en"><term>Intracellular Signaling Peptides and Proteins</term><term>Oncogene Proteins</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Biomarkers</term><term>alpha-Synuclein</term></keywords><keywords scheme="MESH" qualifier="cerebrospinal fluid" xml:lang="en"><term>Parkinson Disease</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Parkinson Disease</term></keywords><keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Brain</term><term>Dopaminergic Neurons</term><term>Substantia Nigra</term></keywords><keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Brain</term><term>Dopaminergic Neurons</term><term>Substantia Nigra</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Brain</term><term>Parkinson Disease</term><term>Substantia Nigra</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Diffusion Tensor Imaging</term><term>Disease Progression</term><term>Functional Neuroimaging</term><term>Humans</term><term>Inflammation</term><term>Magnetic Resonance Imaging</term><term>Mutation</term><term>Neuroimaging</term><term>Oxidative Stress</term><term>Positron-Emission Tomography</term><term>Protein Deglycase DJ-1</term><term>Tomography, Emission-Computed, Single-Photon</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The diagnosis of Parkinson's disease (PD) currently relies on the appearance of certain clinical features. However, these features appear only years after the loss of nigral dopaminergic neurons. The progression of PD may be measured using clinical rating scales that are subjective and that have a variable inter-rater consistency. There is a growing need for a biomarker that will allow for early detection of the disease as well as provide a measure of disease progression. In this article, we review different biomarkers, with a focus on functional imaging techniques, which while imperfect, currently provide the best approach to this problem. We also discuss the use of structural imaging and emerging progress in other biochemical and molecular markers. While there is no single biomarker that will satisfy all requirements, a combination is likely to be of great use in identifying those subjects most likely to benefit from neuroprotective therapies, as well as in monitoring the effects of any interventions.</div></front></TEI><affiliations><list><country><li>Canada</li></country></list><tree><country name="Canada"><noRegion><name sortKey="Algarni, Musleh A" sort="Algarni, Musleh A" uniqKey="Algarni M" first="Musleh A" last="Algarni">Musleh A. Algarni</name></noRegion><name sortKey="Stoessl, A Jon" sort="Stoessl, A Jon" uniqKey="Stoessl A" first="A Jon" last="Stoessl">A Jon Stoessl</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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