scholarly journals CSF sTREM2 correlates with CSF tau in advancing Parkinson’s disease

2019 ◽  
Author(s):  
Edward N. Wilson ◽  
Michelle S. Swarovski ◽  
Patricia Linortner ◽  
Marian Shahid ◽  
Abigail J. Zuckerman ◽  
...  

AbstractParkinson’s disease (PD) is the second most common neurodegenerative disease after Alzheimer’s disease (AD) and affects 1% of the population above 60 years old. Although PD commonly manifests with motor symptoms, a majority of patients with PD subsequently develop cognitive impairment which often progresses to dementia, a major cause of morbidity and disability. PD is characterized by α-synuclein accumulation that frequently associates with amyloid beta (Aβ) and tau fibrils, the hallmarks of AD neuropathologic changes; this co-occurrence suggests that onset of cognitive decline in PD may be associated with appearance of pathologic Aβ and/or tau. Recent studies have highlighted the appearance of the soluble form of the Triggering Receptor Expressed on Myeloid cells 2 (sTREM2) receptor in CSF during development of AD. Given the known association of microglial activation with advancing PD, we investigated whether CSF and/or plasma sTREM2 increased with progression to PD dementia. We examined 165 participants consisting of 17 cognitively normal elderly, 45 PD patients with no cognitive impairment, 86 with mild cognitive impairment, and 17 with dementia. Stratification of subjects by CSF Aβ and tau levels revealed that CSF sTREM2 concentrations were elevated in PD subgroups with abnormal tau, but not Aβ, CSF concentration. These findings indicate that CSF sTREM2 could serve as a surrogate immune biomarker of neuronal injury in PD that is associated with cognitive decline.One sentence summaryCSF sTREM2 correlates with CSF tau in PD

Author(s):  
Iván Galtier ◽  
Antonieta Nieto ◽  
María Mata ◽  
Jesús N. Lorenzo ◽  
José Barroso

ABSTRACT Objective: Subjective cognitive decline (SCD) and mild cognitive impairment (MCI) in Parkinson’s disease (PD) are considered as the risk factors for dementia (PDD). Posterior cortically based functions, such as visuospatial and visuoperceptual (VS-VP) processing, have been described as predictors of PDD. However, no investigations have focused on the qualitative analysis of the Judgment of Line Orientation Test (JLOT) and the Facial Recognition Test (FRT) in PD-SCD and PD-MCI. The aim of this work was to study the VS-VP errors in JLOT and FRT. Moreover, these variables are considered as predictors of PDD. Method: Forty-two PD patients and 19 controls were evaluated with a neuropsychological protocol. Patients were classified as PD-SCD and PD-MCI. Analyses of errors were conducted following the procedure described by Ska, Poissant, and Joanette (1990). Follow-up assessment was conducted to a mean of 7.5 years after the baseline. Results: PD-MCI patients showed a poor performance in JLOT and FRT total score and made a greater proportion of severe intraquadrant (QO2) and interquadrant errors (IQO). PD-SCD showed a poor performance in FRT and made mild errors in JLOT. PD-MCI and QO2/IQO errors were independent risk factors for PDD during the follow-up. Moreover, the combination of both PD-MCI diagnosis and QO2/IQO errors was associated with a greater risk. Conclusions: PD-MCI patients presented a greater alteration in VS-VP processing observable by the presence of severe misjudgments. PD-SCD patients also showed mild difficulties in VS-SP functions. Finally, QO2/IQO errors in PD-MCI are a useful predictor of PDD, more than PD-MCI diagnosis alone.


2019 ◽  
Author(s):  
Pedro Renato de Paula Brandão ◽  
Fernando Bisinoto Maluf ◽  
Talyta Grippe ◽  
Ingrid Faber ◽  
Danilo Assis Pereira ◽  
...  

The following study protocol describes the rationale and methods of a cohort with a nested case-control study, which aims to identify risk factors and predictors of cognitive dysfunction in Parkinson's disease (PD). It is a study that will follow PD every 18 months with a comprehensive neuropsychological, clinical (motor and non-motor symptoms) and imaging (Magnetic Resonance Imaging) data collection. The criteria for diagnosing mild cognitive impairment (MCI) and dementia will respect the parameters previously published by the International Working Group on Mild Cognitive Impairment, and compared with those recommended by the Fifth edition of the Diagnostic and Statistical Manual of Mental Disorders of the American Psychiatric Association (DSM-5) and the International Parkinson's and Movement Disorders Society (MDS) criteria. We will also evaluate the neural substrate and underpinnings of PD non-motor symptoms, using advanced neuroimaging techniques, such as diffusion tensor imaging (DTI) and gray matter and white matter volumetric measurements.


2019 ◽  
Author(s):  
Pedro Renato de Paula Brandão ◽  
Fernando Bisinoto Maluf ◽  
Talyta Grippe ◽  
Ingrid Faber ◽  
Danilo Assis Pereira ◽  
...  

The following study protocol describes the rationale and methods of a cohort with a nested case-control study, which aims to identify risk factors and predictors of cognitive dysfunction in Parkinson's disease (PD). It is a study that will follow PD every 18 months with a comprehensive neuropsychological, clinical (motor and non-motor symptoms) and imaging (Magnetic Resonance Imaging) data collection. The criteria for diagnosing mild cognitive impairment (MCI) and dementia will respect the parameters previously published by the International Working Group on Mild Cognitive Impairment, and compared with those recommended by the Fifth edition of the Diagnostic and Statistical Manual of Mental Disorders of the American Psychiatric Association (DSM-5) and the International Parkinson's and Movement Disorders Society (MDS) criteria. We will also evaluate the neural substrate and underpinnings of PD non-motor symptoms, using advanced neuroimaging techniques, such as diffusion tensor imaging (DTI) and gray matter and white matter volumetric measurements.


2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Alexandru Hanganu ◽  
Oury Monchi

Cognitive impairment in patients with Parkinson’s disease is a major challenge since it has been established that 25 to 40% of patients will develop cognitive impairment early in the disease. Furthermore, it has been reported that up to 80% of Parkinsonian patients will eventually develop dementia. Thus, it is important to improve the diagnosing procedures in order to detect cognitive impairment at early stages of development and to delay as much as possible the developing of dementia. One major challenge is that patients with mild cognitive impairment exhibit measurable cognitive deficits according to recently established criteria, yet those deficits are not severe enough to interfere with daily living, hence being avoided by patients, and might be overseen by clinicians. Recent advances in neuroimaging brain analysis allowed the establishment of several anatomical markers that have the potential to be considered for early detection of cognitive impairment in Parkinsonian patients. This review aims to outline the neuroimaging possibilities in diagnosing cognitive impairment in patients with Parkinson’s disease and to take into consideration the near-future possibilities of their implementation into clinical practice.


2019 ◽  
Vol 15 ◽  
pp. P358-P359
Author(s):  
Rabwas Munjit ◽  
Wikrom Warunyuwong ◽  
Chatchawan Rattanabannakit ◽  
Prachaya Srivanitchapoom ◽  
Vorapun Senanarong

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Congcong Fang ◽  
Longqin Lv ◽  
Shanping Mao ◽  
Huimin Dong ◽  
Baohui Liu

Parkinson’s disease (PD) is the second most common progressive neurodegenerative disorder mainly in middle-elderly population, which represents diverse nonmotor symptoms (NMS) besides such well-documented motor symptoms as bradykinesia, resting tremor, rigidity, and postural instability. With the advancement of aging trend worldwide, the global prevalence of PD is mounting up year after year. Nowadays, accumulating lines of studies have given a comprehensive and thorough coverage of motor symptoms in PD. Yet much less attention as compared has been paid to the nonmotor symptoms of PD, such as cognition deficits. Of note, a patient with PD who suffers from cognitive impairment may harbour a statistically significantly higher risk of progressing toward dementia, which negatively affects their life expectancy and daily functioning and overall lowers the global quality of life. Furthermore, it is a widely held view that cognitive dysfunction does not just occur in the late stage of PD. On the basis of numerous studies, mild cognitive impairment (MCI) is a harbinger of dementia in PD, which is observed as an intermediate state with considerable variability; some patients remain stable and some even revert to normal cognition. Considered that the timing, profile, and rate of cognitive impairment vary greatly among PD individuals, it is extremely urgent for researchers and clinicians alike to identify and predict future cognitive decline in this population. Simultaneously, early screening and canonical management of PD with cognitive deficits are very imperative to postpone the disease progression and improve the prognosis of patients. In our review, we focus on a description of cognitive decline in PD, expound emphatically the pathological mechanisms underlying cognition deficits in PD, then give a comprehensive overview of specific therapeutic strategies, and finally dissect what fresh insights may bring new exciting prospect for the subfield.


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