Literature DB >> 27193487

Biomarkers for dementia and mild cognitive impairment in Parkinson's disease.

Manuel Delgado-Alvarado1,2, Belén Gago1,2, Irene Navalpotro-Gomez1,2, Haritz Jiménez-Urbieta1,2, María C Rodriguez-Oroz1,2,3,4,5,6.   

Abstract

Cognitive decline is one of the most frequent and disabling nonmotor features of Parkinson's disease. Around 30% of patients with Parkinson's disease experience mild cognitive impairment, a well-established risk factor for the development of dementia. However, mild cognitive impairment in patients with Parkinson's disease is a heterogeneous entity that involves different types and extents of cognitive deficits. Because it is not currently known which type of mild cognitive impairment confers a higher risk of progression to dementia, it would be useful to define biomarkers that could identify these patients to better study disease progression and possible interventions. In this sense, the identification among patients with Parkinson's disease and mild cognitive impairment of biomarkers associated with dementia would allow the early detection of this process. This review summarizes studies from the past 25 years that have assessed the potential biomarkers of dementia and mild cognitive impairment in Parkinson's disease patients. Despite the potential importance, no biomarker has as yet been validated. However, features such as low levels of epidermal and insulin-like growth factors or uric acid in plasma/serum and of Aß in CSF, reduction of cerebral cholinergic innervation and metabolism measured by PET mainly in posterior areas, and hippocampal atrophy in MRI might be indicative of distinct deficits with a distinct risk of dementia in subgroups of patients. Longitudinal studies combining the existing techniques and new approaches are needed to identify patients at higher risk of dementia.
© 2016 International Parkinson and Movement Disorder Society. © 2016 International Parkinson and Movement Disorder Society.

Entities:  

Keywords:  Parkinson's disease; biomarkers; dementia; mild cognitive impairment

Mesh:

Substances:

Year:  2016        PMID: 27193487     DOI: 10.1002/mds.26662

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  37 in total

1.  Brain structural and functional signatures of impulsive-compulsive behaviours in Parkinson's disease.

Authors:  F Imperiale; F Agosta; E Canu; V Markovic; A Inuggi; M Jecmenica-Lukic; A Tomic; M Copetti; S Basaia; V S Kostic; M Filippi
Journal:  Mol Psychiatry       Date:  2017-03-07       Impact factor: 15.992

Review 2.  Past, present, and future of Parkinson's disease: A special essay on the 200th Anniversary of the Shaking Palsy.

Authors:  J A Obeso; M Stamelou; C G Goetz; W Poewe; A E Lang; D Weintraub; D Burn; G M Halliday; E Bezard; S Przedborski; S Lehericy; D J Brooks; J C Rothwell; M Hallett; M R DeLong; C Marras; C M Tanner; G W Ross; J W Langston; C Klein; V Bonifati; J Jankovic; A M Lozano; G Deuschl; H Bergman; E Tolosa; M Rodriguez-Violante; S Fahn; R B Postuma; D Berg; K Marek; D G Standaert; D J Surmeier; C W Olanow; J H Kordower; P Calabresi; A H V Schapira; A J Stoessl
Journal:  Mov Disord       Date:  2017-09       Impact factor: 10.338

Review 3.  Update on Molecular Imaging in Parkinson's Disease.

Authors:  Zhen-Yang Liu; Feng-Tao Liu; Chuan-Tao Zuo; James B Koprich; Jian Wang
Journal:  Neurosci Bull       Date:  2017-12-27       Impact factor: 5.203

Review 4.  Lewy Body Disorders.

Authors:  Douglas Galasko
Journal:  Neurol Clin       Date:  2017-05       Impact factor: 3.806

5.  Brain connectivity markers in advanced Parkinson's disease for predicting mild cognitive impairment.

Authors:  Hai Lin; Zesi Liu; Wei Yan; Doudou Zhang; Jiali Liu; Bin Xu; Weiping Li; Qiusheng Zhang; Xiaodong Cai
Journal:  Eur Radiol       Date:  2021-06-09       Impact factor: 5.315

Review 6.  The Neuropsychiatry of Parkinson Disease: A Perfect Storm.

Authors:  Daniel Weintraub; Eugenia Mamikonyan
Journal:  Am J Geriatr Psychiatry       Date:  2019-03-09       Impact factor: 4.105

7.  Profiling Parkinson's disease cognitive phenotypes via resting-state magnetoencephalography.

Authors:  Olivier B Simon; Donald C Rojas; Debashis Ghosh; Xinyi Yang; Sarah E Rogers; Christine S Martin; Samantha K Holden; Benzi M Kluger; Isabelle Buard
Journal:  J Neurophysiol       Date:  2021-12-22       Impact factor: 2.714

8.  Distinct manifestation of cognitive deficits associate with different resting-state network disruptions in non-demented patients with Parkinson's disease.

Authors:  Kazuya Kawabata; Hirohisa Watanabe; Kazuhiro Hara; Epifanio Bagarinao; Noritaka Yoneyama; Aya Ogura; Kazunori Imai; Michihito Masuda; Takamasa Yokoi; Reiko Ohdake; Yasuhiro Tanaka; Takashi Tsuboi; Tomohiko Nakamura; Masaaki Hirayama; Mizuki Ito; Naoki Atsuta; Satoshi Maesawa; Shinji Naganawa; Masahisa Katsuno; Gen Sobue
Journal:  J Neurol       Date:  2018-02-01       Impact factor: 4.849

9.  Effect of serum uric acid on cognition in patients with idiopathic REM sleep behavior disorder.

Authors:  Xudong Li; Shuhong Jia; Zhi Zhou; Yi Jin; Xiangfei Zhang; Chunlei Hou; Wenjing Zheng; Pei Rong; Jinsong Jiao
Journal:  J Neural Transm (Vienna)       Date:  2018-10-03       Impact factor: 3.575

10.  Step length predicts executive dysfunction in Parkinson's disease: a 3-year prospective study.

Authors:  Marianna Amboni; Luigi Iuppariello; Alessandro Iavarone; Alfonso Fasano; Raffaele Palladino; Rosaria Rucco; Marina Picillo; Ilaria Lista; Pasquale Varriale; Carmine Vitale; Mario Cesarelli; Giuseppe Sorrentino; Paolo Barone
Journal:  J Neurol       Date:  2018-07-16       Impact factor: 4.849

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