Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Candidate inflammatory biomarkers display unique relationships with alpha-synuclein and correlate with measures of disease severity in subjects with Parkinson’s disease
by
Kopil, Catherine
, Chung, Jaegwon
, Yen, Mark
, Barnum, Christopher J.
, Kannarkat, George T.
, Ereshefsky, Larry
, Tansey, Malú G.
, Hertzberg, Vicki S.
, Eidson, Lori N.
, Taylor, Peggy
, Caspell-Garcia, Chelsea
, Frasier, Mark
, Chang, Jianjun
, Mollenhauer, Brit
, Schlossmacher, Michael G.
, Marek, Kenneth
in
alpha-Synuclein - blood
/ alpha-Synuclein - cerebrospinal fluid
/ Biological markers
/ Biomarkers - blood
/ Biomarkers - cerebrospinal fluid
/ Biomedical and Life Sciences
/ Biomedicine
/ CSF
/ Daily rhythm
/ Development and progression
/ Female
/ Humans
/ Immunology
/ Inflammation
/ Inflammation Mediators - blood
/ Inflammation Mediators - cerebrospinal fluid
/ Male
/ Neurobiology
/ Neurology
/ Neurosciences
/ Parkinson disease
/ Parkinson Disease - blood
/ Parkinson Disease - cerebrospinal fluid
/ Parkinson Disease - diagnosis
/ Parkinson’s disease
/ Physiological aspects
/ Protein biomarkers
/ Serum
/ Severity of Illness Index
2017
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Candidate inflammatory biomarkers display unique relationships with alpha-synuclein and correlate with measures of disease severity in subjects with Parkinson’s disease
by
Kopil, Catherine
, Chung, Jaegwon
, Yen, Mark
, Barnum, Christopher J.
, Kannarkat, George T.
, Ereshefsky, Larry
, Tansey, Malú G.
, Hertzberg, Vicki S.
, Eidson, Lori N.
, Taylor, Peggy
, Caspell-Garcia, Chelsea
, Frasier, Mark
, Chang, Jianjun
, Mollenhauer, Brit
, Schlossmacher, Michael G.
, Marek, Kenneth
in
alpha-Synuclein - blood
/ alpha-Synuclein - cerebrospinal fluid
/ Biological markers
/ Biomarkers - blood
/ Biomarkers - cerebrospinal fluid
/ Biomedical and Life Sciences
/ Biomedicine
/ CSF
/ Daily rhythm
/ Development and progression
/ Female
/ Humans
/ Immunology
/ Inflammation
/ Inflammation Mediators - blood
/ Inflammation Mediators - cerebrospinal fluid
/ Male
/ Neurobiology
/ Neurology
/ Neurosciences
/ Parkinson disease
/ Parkinson Disease - blood
/ Parkinson Disease - cerebrospinal fluid
/ Parkinson Disease - diagnosis
/ Parkinson’s disease
/ Physiological aspects
/ Protein biomarkers
/ Serum
/ Severity of Illness Index
2017
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Candidate inflammatory biomarkers display unique relationships with alpha-synuclein and correlate with measures of disease severity in subjects with Parkinson’s disease
by
Kopil, Catherine
, Chung, Jaegwon
, Yen, Mark
, Barnum, Christopher J.
, Kannarkat, George T.
, Ereshefsky, Larry
, Tansey, Malú G.
, Hertzberg, Vicki S.
, Eidson, Lori N.
, Taylor, Peggy
, Caspell-Garcia, Chelsea
, Frasier, Mark
, Chang, Jianjun
, Mollenhauer, Brit
, Schlossmacher, Michael G.
, Marek, Kenneth
in
alpha-Synuclein - blood
/ alpha-Synuclein - cerebrospinal fluid
/ Biological markers
/ Biomarkers - blood
/ Biomarkers - cerebrospinal fluid
/ Biomedical and Life Sciences
/ Biomedicine
/ CSF
/ Daily rhythm
/ Development and progression
/ Female
/ Humans
/ Immunology
/ Inflammation
/ Inflammation Mediators - blood
/ Inflammation Mediators - cerebrospinal fluid
/ Male
/ Neurobiology
/ Neurology
/ Neurosciences
/ Parkinson disease
/ Parkinson Disease - blood
/ Parkinson Disease - cerebrospinal fluid
/ Parkinson Disease - diagnosis
/ Parkinson’s disease
/ Physiological aspects
/ Protein biomarkers
/ Serum
/ Severity of Illness Index
2017
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Candidate inflammatory biomarkers display unique relationships with alpha-synuclein and correlate with measures of disease severity in subjects with Parkinson’s disease
Journal Article
Candidate inflammatory biomarkers display unique relationships with alpha-synuclein and correlate with measures of disease severity in subjects with Parkinson’s disease
2017
Request Book From Autostore
and Choose the Collection Method
Overview
Background
Efforts to identify fluid biomarkers of Parkinson’s disease (PD) have intensified in the last decade. As the role of inflammation in PD pathophysiology becomes increasingly recognized, investigators aim to define inflammatory signatures to help elucidate underlying mechanisms of disease pathogenesis and aid in identification of patients with inflammatory endophenotypes that could benefit from immunomodulatory interventions. However, discordant results in the literature and a lack of information regarding the stability of inflammatory factors over a 24-h period have hampered progress.
Methods
Here, we measured inflammatory proteins in serum and CSF of a small cohort of PD (
n
= 12) and age-matched healthy control (HC) subjects (
n
= 6) at 11 time points across 24 h to (1) identify potential diurnal variation, (2) reveal differences in PD vs HC, and (3) to correlate with CSF levels of amyloid β (Aβ) and α-synuclein in an effort to generate data-driven hypotheses regarding candidate biomarkers of PD.
Results
Despite significant variability in other factors, a repeated measures two-way analysis of variance by time and disease state for each analyte revealed that serum IFNγ, TNF, and neutrophil gelatinase-associated lipocalin (NGAL) were stable across 24 h and different between HC and PD. Regression analysis revealed that C-reactive protein (CRP) was the only factor with a strong linear relationship between CSF and serum. PD and HC subjects showed significantly different relationships between CSF Aβ proteins and α-synuclein and specific inflammatory factors, and CSF IFNγ and serum IL-8 positively correlated with clinical measures of PD. Finally, linear discriminant analysis revealed that serum TNF and CSF α-synuclein discriminated between PD and HC with a minimum of 82% sensitivity and 83% specificity.
Conclusions
Our findings identify a panel of inflammatory factors in serum and CSF that can be reliably measured, distinguish between PD and HC, and monitor inflammation as disease progresses or in response to interventional therapies. This panel may aid in generating hypotheses and feasible experimental designs towards identifying biomarkers of neurodegenerative disease by focusing on analytes that remain stable regardless of time of sample collection.
Publisher
BioMed Central,BioMed Central Ltd,BMC
Subject
This website uses cookies to ensure you get the best experience on our website.