Petr Dusek

Dr. Petr Dusek

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 February 2019 in Brain
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RPRonald B Postuma
Ronald B Postuma
AIAlex Iranzo
Alex Iranzo
MHMichele Hu
Michele Hu
BHBirgit Högl
Birgit Högl
BBBradley F Boeve
Bradley F Boeve
APAmelie Pelletier
Amelie Pelletier
Idiopathic REM sleep behaviour disorder (iRBD) is a powerful early sign of Parkinson’s disease, dementia with Lewy bodies, and multiple system atrophy. This provides an unprecedented opportunity to directly observe prodromal neurodegenerative states, and potentially intervene with neuroprotective therapy. For future neuroprotective trials, it is essential to accurately estimate phenoconversion rate and identify potential predictors of phenoconversion. This study assessed the neurodegenerative disease risk and predictors of neurodegeneration in a large multicentre cohort of iRBD. We combined prospective follow-up data from 24 centres of the International RBD Study Group. At baseline, patients with polysomnographically-confirmed iRBD without parkinsonism or dementia underwent sleep, motor, cognitive, autonomic and special sensory testing. Patients were then prospectively followed, during which risk of dementia and parkinsonsim were assessed. The risk of dementia and parkinsonism was estimated with Kaplan-Meier analysis. Predictors of phenoconversion were assessed with Cox proportional hazards analysis, adjusting for age, sex, and centre. Sample size estimates for disease-modifying trials were calculated using a time-to-event analysis. Overall, 1280 patients were recruited. The average age was 66.3 ± 8.4 and 82.5% were male. Average follow-up was 4.6 years (range = 1–19 years). The overall conversion rate from iRBD to an overt neurodegenerative syndrome was 6.3% per year, with 73.5% converting after 12-year follow-up. The rate of phenoconversion was significantly increased with abnormal quantitative motor testing [hazard ratio (HR) = 3.16], objective motor examination (HR = 3.03), olfactory deficit (HR = 2.62), mild cognitive impairment (HR = 1.91–2.37), erectile dysfunction (HR = 2.13), motor symptoms (HR = 2.11), an abnormal DAT scan (HR = 1.98), colour vision abnormalities (HR = 1.69), constipation (HR = 1.67), REM atonia loss (HR = 1.54), and age (HR = 1.54). There was no significant predictive value of sex, daytime somnolence, insomnia, restless legs syndrome, sleep apnoea, urinary dysfunction, orthostatic symptoms, depression, anxiety, or hyperechogenicity on substantia nigra ultrasound. Among predictive markers, only cognitive variables were different at baseline between those converting to primary dementia versus parkinsonism. Sample size estimates for definitive neuroprotective trials ranged from 142 to 366 patients per arm. This large multicentre study documents the high phenoconversion rate from iRBD to an overt neurodegenerative syndrome. Our findings provide estimates of the relative predictive value of prodromal markers, which can be used to stratify patients for neuroprotective trials.

6 September 2018 in Nature Reviews Disease Primers
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ACAnna Czlonkowska
Anna Czlonkowska
Tomasz LitwinTomasz Litwin
Tomasz Litwin
PDPetr Dusek
Petr Dusek
PFPeter Ferenci
Peter Ferenci
SLSvetlana Lutsenko
Svetlana Lutsenko
MSMichael L. Schilsky
Michael L. Schilsky

1 July 2015 in Journal of Trace Elements in Medicine and Biology
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Journal Article
Closed access
PDPetr Dusek
Petr Dusek
PRPer M Roos
Per M Roos
Tomasz LitwinTomasz Litwin
Tomasz Litwin
SSSusanne A. Schneider
Susanne A. Schneider
TFTrond Peder Flaten
Trond Peder Flaten
Jan O. AasethJan O. Aaseth
Jan O. Aaseth

17 May 2022 in Biomolecules
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Journal Article
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PDPetr Dusek
Petr Dusek
Tim HoferTim Hofer
Tim Hofer
Jan AlexanderJan Alexander
Jan Alexander
PRPer M Roos
Per M Roos
Jan O. AasethJan O. Aaseth
Jan O. Aaseth
Disruption of cerebral iron regulation appears to have a role in aging and in the pathogenesis of various neurodegenerative disorders. Possible unfavorable impacts of iron accumulation include reactive oxygen species generation, induction of ferroptosis, and acceleration of inflammatory changes. Whole-brain iron-sensitive magnetic resonance imaging (MRI) techniques allow the examination of macroscopic patterns of brain iron deposits in vivo, while modern analytical methods ex vivo enable the determination of metal-specific content inside individual cell-types, sometimes also within specific cellular compartments. The present review summarizes the whole brain, cellular, and subcellular patterns of iron accumulation in neurodegenerative diseases of genetic and sporadic origin. We also provide an update on mechanisms, biomarkers, and effects of brain iron accumulation in these disorders, focusing on recent publications. In Parkinson’s disease, Friedreich’s disease, and several disorders within the neurodegeneration with brain iron accumulation group, there is a focal siderosis, typically in regions with the most pronounced neuropathological changes. The second group of disorders including multiple sclerosis, Alzheimer’s disease, and amyotrophic lateral sclerosis shows iron accumulation in the globus pallidus, caudate, and putamen, and in specific cortical regions. Yet, other disorders such as aceruloplasminemia, neuroferritinopathy, or Wilson disease manifest with diffuse iron accumulation in the deep gray matter in a pattern comparable to or even more extensive than that observed during normal aging. On the microscopic level, brain iron deposits are present mostly in dystrophic microglia variably accompanied by iron-laden macrophages and in astrocytes, implicating a role of inflammatory changes and blood–brain barrier disturbance in iron accumulation. Options and potential benefits of iron reducing strategies in neurodegeneration are discussed. Future research investigating whether genetic predispositions play a role in brain Fe accumulation is necessary. If confirmed, the prevention of further brain Fe uptake in individuals at risk may be key for preventing neurodegenerative disorders.

1 April 2012 in Neurobiology of Disease
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Journal Article
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PDPetr Dusek
Petr Dusek
JJJoseph Jankovic
Joseph Jankovic
WLWeidong Le
Weidong Le

1 July 2019 in The Lancet Neurology
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Journal Article
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TKThomas Klopstock
Thomas Klopstock
FTFernando Tricta
Fernando Tricta
LNLynne Neumayr
Lynne Neumayr
IKIvan Karin
Ivan Karin
GZGiovanna Zorzi
Giovanna Zorzi
EVElliott Vichinsky
Elliott Vichinsky