scholarly journals A clinical-anatomical signature of Parkinson’s Disease identified with partial least squares and magnetic resonance imaging

2017 ◽  
Author(s):  
Yashar Zeighami ◽  
Seyed-Mohammad Fereshtehnejad ◽  
Mahsa Dadar ◽  
D. Louis Collins ◽  
Ronald B. Postuma ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Least Squares ◽  
Partial Least Squares ◽  
Large Scale ◽  
De Novo ◽  
Neurodegenerative Disorder ◽  
Clinical Manifestations ◽  
Motor Symptoms ◽  
Non Motor Symptoms

AbstractParkinson’s disease (PD) is a neurodegenerative disorder characterized by a wide array of motor and non-motor symptoms. It remains unclear whether neurodegeneration in discrete loci gives rise to discrete symptoms, or whether network-wide atrophy gives rise to the unique behavioural and clinical profile associated with PD. Here we apply a data-driven strategy to isolate large-scale, multivariate associations between distributed atrophy patterns and clinical phenotypes in PD. In a sample of N = 229 de novo PD patients, we estimate disease-related atrophy using deformation based morphometry (DBM) of T1 weighted MR images. Using partial least squares (PLS), we identify a network of subcortical and cortical regions whose collective atrophy is associated with a clinical phenotype encompassing motor and non-motor features. Despite the relatively early stage of the disease in the sample, the atrophy pattern encompassed lower brainstem, substantia nigra, basal ganglia and cortical areas, consistent with the Braak hypothesis. In addition, individual variation in this putative atrophy network predicted longitudinal clinical progression in both motor and non-motor symptoms. Altogether, these results demonstrate a pleiotropic mapping between neurodegeneration and the clinical manifestations of PD, and that this mapping can be detected even in de novo patients.

scholarly journals Comprehensive subtyping of Parkinson’s disease patients with similarity fusion: a case study with BioFIND data

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Matthew Brendel ◽  
Chang Su ◽  
Yu Hou ◽  
Claire Henchcliffe ◽  
Fei Wang
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Clinical Features ◽  
Neurodegenerative Disorder ◽  
Clinical Manifestations ◽  
Risk Scores ◽  
Motor Symptoms ◽  
Agglomerative Clustering ◽  
Using Data ◽  
Non Motor Symptoms

AbstractParkinson’s disease (PD) is a complex neurodegenerative disorder with diverse clinical manifestations. To better understand this disease, research has been done to categorize, or subtype, patients, using an array of criteria derived from clinical assessments and biospecimen analyses. In this study, using data from the BioFIND cohort, we aimed at identifying subtypes of moderate-to-advanced PD via comprehensively considering motor and non-motor manifestations. A total of 103 patients were included for analysis. Through the use of a patient-wise similarity matrix fusion technique and hierarchical agglomerative clustering analysis, three unique subtypes emerged from the clustering results. Subtype I, comprised of 60 patients (~58.3%), was characterized by mild symptoms, both motor and non-motor. Subtype II, comprised of 20 (~19.4%) patients, was characterized by an intermediate severity, with a high tremor score and mild non-motor symptoms. Subtype III, comprised of 23 (~22.3%) patients, was characterized by more severe motor and non-motor symptoms. These subtypes show statistically significant differences when looking at motor (on and off medication) clinical features and non-motor clinical features, while there was no clear difference in demographics, biomarker levels, and genetic risk scores.

scholarly journals Parkinson’s Disease Subtyping Using Clinical Features and Biomarkers: Literature Review and Preliminary Study of Subtype Clustering

Diagnostics ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 112
Author(s):  
Seung Hyun Lee ◽  
Sang-Min Park ◽  
Sang Seok Yeo ◽  
Ojin Kwon ◽  
Mi-Kyung Lee ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Personalized Medicine ◽  
Clinical Features ◽  
Neurodegenerative Disorder ◽  
Clinical Manifestations ◽  
Motor Symptoms ◽  
Gait Features ◽  
Non Motor Symptoms

The second most common progressive neurodegenerative disorder, Parkinson’s disease (PD), is characterized by a broad spectrum of symptoms that are associated with its progression. Several studies have attempted to classify PD according to its clinical manifestations and establish objective biomarkers for early diagnosis and for predicting the prognosis of the disease. Recent comprehensive research on the classification of PD using clinical phenotypes has included factors such as dominance, severity, and prognosis of motor and non-motor symptoms and biomarkers. Additionally, neuroimaging studies have attempted to reveal the pathological substrate for motor symptoms. Genetic and transcriptomic studies have contributed to our understanding of the underlying molecular pathogenic mechanisms and provided a basis for classifying PD. Moreover, an understanding of the heterogeneity of clinical manifestations in PD is required for a personalized medicine approach. Herein, we discuss the possible subtypes of PD based on clinical features, neuroimaging, and biomarkers for developing personalized medicine for PD. In addition, we conduct a preliminary clustering using gait features for subtyping PD. We believe that subtyping may facilitate the development of therapeutic strategies for PD.

scholarly journals Evaluation of fecal microbiota transplantation in Parkinson's disease patients with constipation

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Xiao-yi Kuai ◽  
Xiao-han Yao ◽  
Li-juan Xu ◽  
Yu-qing Zhou ◽  
Li-ping Zhang ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Rating Scale ◽  
Neurodegenerative Disorder ◽  
Fecal Microbiota Transplantation ◽  
Fecal Microbiota ◽  
Motor Symptoms ◽  
Gastrointestinal Dysfunction ◽  
Before And After ◽  
Non Motor Symptoms

AbstractParkinson’s disease (PD) is a neurodegenerative disorder and 70–80% of PD patients suffer from gastrointestinal dysfunction such as constipation. We aimed to assess the efficacy and safety of fecal microbiota transplantation (FMT) for treating PD related to gastrointestinal dysfunction. We conducted a prospective, single- study. Eleven patients with PD received FMT. Fecal samples were collected before and after FMT and subjected to 16S ribosomal DNA (rDNA) gene sequencing. Hoehn-Yahr (H-Y) grade, Unified Parkinson's Disease Rating Scale (UPDRS) score, and the Non-Motion Symptom Questionnaire (NMSS) were used to assess improvements in motor and non-motor symptoms. PAC-QOL score and Wexner constipation score were used to assess the patient's constipation symptoms. All patients were tested by the small intestine breath hydrogen test, performed before and after FMT. Community richness (chao) and microbial structure in before-FMT PD patients were significantly different from the after-FMT. We observed an increased abundance of Blautia and Prevotella in PD patients after FMT, while the abundance of Bacteroidetes decreased dramatically. After FMT, the H-Y grade, UPDRS, and NMSS of PD patients decreased significantly. Through the lactulose H2 breath test, the intestinal bacterial overgrowth (SIBO) in PD patients returned to normal. The PAC-QOL score and Wexner constipation score in after-FMT patients decreased significantly. Our study profiles specific characteristics and microbial dysbiosis in the gut of PD patients. FMT might be a therapeutic potential for reconstructing the gut microbiota of PD patients and improving their motor and non-motor symptoms.

Constipation is Associated with Development of Cognitive Impairment in de novo Parkinson’s Disease: A Longitudinal Analysis of Two International Cohorts

2021 ◽  
pp. 1-11
Author(s):  
Valentina Leta ◽  
Daniele Urso ◽  
Lucia Batzu ◽  
Daniel Weintraub ◽  
Nataliya Titova ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
De Novo ◽  
Motor Dysfunction ◽  
Group Differences ◽  
Motor Symptoms ◽  
Kaplan Meier ◽  
Patients At Risk ◽  
Non Motor Symptoms

Background: Constipation is regarded as one of the prodromal features of Parkinson’s disease (PD) and there is emerging evidence linking gastrointestinal dysfunction and cognitive impairment (CI) in PD. Objective: We explored whether constipation is associated with development of CI in two independent cohorts of de novo PD patients (n = 196 from the Non-motor International Longitudinal Study [NILS] and n = 423 from the Parkinson’s Progression Markers Initiative [PPMI] study). Methods: Constipation was clinically defined using the Non-Motor Symptoms Scale (NMSS) item-21 [NILS] and Scales for Outcomes in PD-Autonomic (SCOPA-AUT) item-5 [PPMI]. We assessed baseline group differences (PD with or without constipation) in CI, global non-motor symptoms burden, motor dysfunction, and striatal dopaminergic denervation. Kaplan-Meier method estimated group differences in cumulative proportion of patients with incident CI over three years. In PPMI, we subsequently performed univariate and multivariate Cox survival analyses to evaluate whether constipation predicts incident mild cognitive impairment or dementia over a 6-year period, including constipation and other known predictors of CI as covariates. Results: Patients with constipation had greater motor and global non-motor burden in both cohorts at baseline (p <  0.05). Kaplan-Meier plots showed faster conversion to CI in patients with constipation in both cohorts (p <  0.05). In PPMI, 37 subjects developed dementia during a mean follow-up of 4.9 years, and constipation was an independent predictor of dementia onset (hazard ratio = 2.311; p = 0.02). Conclusion: Constipation in de novo PD patients is associated with development of cognitive decline and may serve as a clinical biomarker for identification of patients at risk for cognitive impairment.

scholarly journals Consistency and Stability of Motor Subtype Classifications in Patients With de novo Parkinson’s Disease

2021 ◽  
Vol 15 ◽  
Author(s):  
Jingru Ren ◽  
Chenxi Pan ◽  
Yuqian Li ◽  
Lanting Li ◽  
Ping Hua ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
De Novo ◽  
Classification Systems ◽  
Motor Symptoms ◽  
Chi Squared ◽  
Baseline Evaluation ◽  
The Stability ◽  
First Time ◽  
Non Motor Symptoms

ObjectivePatients with Parkinson’s disease (PD) are commonly classified into subtypes based on motor symptoms. The aims of the present study were to determine the consistency between PD motor subtypes, to assess the stability of PD motor subtypes over time, and to explore the variables influencing PD motor subtype stability.MethodsThis study was part of a longitudinal study of de novo PD patients at a single center. Based on three different motor subtype classification systems proposed by Jankovic, Schiess, and Kang, patients were respectively categorized as tremor-dominant/indeterminate/postural instability and gait difficulty (TD/indeterminate/PIGD), TDS/mixedS/akinetic-rigidS (ARS), or TDK/mixedK/ARK at baseline evaluation and then re-assessed 1 month later. Demographic and clinical characteristics were recorded at each evaluation. The consistency between subtypes at baseline evaluation was assessed using Cohen’s kappa coefficient (κ). Additional variables were compared between PD subtype groups using the two-sample t-test, Mann–Whitney U-test or Chi-squared test.ResultsOf 283 newly diagnosed, untreated PD patients, 79 were followed up at 1 month. There was fair agreement between the Jankovic, Schiess, and Kang classification systems (κS = 0.383 ± 0.044, κK = 0.360 ± 0.042, κSK = 0.368 ± 0.038). Among the three classification systems, the Schiess classification was the most stable and the Jankovic classification was the most unstable. The non-motor symptoms questionnaire (NMSQuest) scores differed significantly between PD patients with stable and unstable subtypes based on the Jankovic classification (p = 0.008), and patients with a consistent subtype had more severe NMSQuest scores than patients with an inconsistent subtype.ConclusionFair consistency was observed between the Jankovic, Schiess, and Kang classification systems. For the first time, non-motor symptoms (NMSs) scores were found to influence the stability of the TD/indeterminate/PIGD classification. Our findings support combining NMSs with motor symptoms to increase the effectiveness of PD subtypes.

scholarly journals Swallowing dysfunctions in Parkinson’s disease patients: a novel challenge for the internist

2019 ◽  
Vol 13 (2) ◽  
pp. 91-94 ◽  
Author(s):  
Elena Barbagelata ◽  
Antonello Nicolini ◽  
Paola Tognetti
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Clinical Practice ◽  
Aspiration Pneumonia ◽  
Neurodegenerative Disorder ◽  
Movement Pattern ◽  
Morbidity And Mortality ◽  
Motor Symptoms ◽  
Common Causes ◽  
Non Motor Symptoms

Parkinson’s disease (PD) is a chronic neurodegenerative disorder with a typical movement pattern, as well as different, less studied non-motor symptoms such as dysphagia. Disease-related disorders in efficacy or safety in the process of swallowing usually lead to malnutrition, dehydration or pneumonia. Dysphagia and subsequent aspiration pneumonia are common causes of morbidity and mortality in those with PD. The aim of this review is to identify and evaluate the existing literature on swallowing disorders in PD and providing recommendations for clinical practice routine.

scholarly journals Baseline prevalence and longitudinal evolution of non-motor symptoms in early Parkinson’s disease: the PPMI cohort

2017 ◽  
Vol 89 (1) ◽  
pp. 78-88 ◽  
Author(s):  
Tanya Simuni ◽  
Chelsea Caspell-Garcia ◽  
Christopher S Coffey ◽  
Daniel Weintraub ◽  
Brit Mollenhauer ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Rating Scale ◽  
De Novo ◽  
Controlled Study ◽  
Motor Symptoms ◽  
Biological Variables ◽  
Significant Difference ◽  
Non Motor Symptoms ◽  
Updrs Part

ObjectiveTo examine the baseline prevalence and longitudinal evolution in non-motor symptoms (NMS) in a prospective cohort of, at baseline, patients with de novo Parkinson’s disease (PD) compared with healthy controls (HC).MethodsParkinson’s Progression Markers Initiative (PPMI) is a longitudinal, ongoing, controlled study of de novo PD participants and HC. NMS were rated using the Movement Disorder Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) Part I score and other validated NMS scales at baseline and after 2 years. Biological variables included cerebrospinal fluid (CSF) markers and dopamine transporter imaging.Results423 PD subjects and 196 HC were enrolled and followed for 2 years. MDS-UPDRS Part I total mean (SD) scores increased from baseline 5.6 (4.1) to 7.7 (5.0) at year 2 in PD subjects (p<0.001) versus from 2.9 (3.0) to 3.2 (3.0) in HC (p=0.38), with a significant difference between the groups (p<0.001). In the multivariate analysis, higher baseline NMS score was associated with female sex (p=0.008), higher baseline MDS-UPDRS Part II scores (p<0.001) and more severe motor phenotype (p=0.007). Longitudinal increase in NMS severity was associated with the older age (0.008) and lower CSF Aβ1–42 (0.005) at baseline. There was no association with the dose or class of dopaminergic therapy.ConclusionsThis study of NMS in early PD identified clinical and biological variables associated with both baseline burden and predictors of progression. The association of a greater longitudinal increase in NMS with lower baseline Aβ1–42 level is an important finding that will have to be replicated in other cohorts.Trial registrationClinicalTrials.gov identifier: NCT01141023.

Non motor symptoms impact quality of life (QOL) in de novo Parkinson's disease (PD)

2016 ◽  
Vol 22 ◽  
pp. e37-e38
Author(s):  
Chizuko Toyoda ◽  
Tadashi Umehara ◽  
Hiromasa Matsuno ◽  
Hisayoshi Oka
Keyword(s):  
Quality Of Life ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
De Novo ◽  
Motor Symptoms ◽  
Non Motor Symptoms

Comparison of sleep and other non-motor symptoms between SWEDDs patients and de novo Parkinson's disease patients

2014 ◽  
Vol 20 (12) ◽  
pp. 1419-1422 ◽  
Author(s):  
Hui-Jun Yang ◽  
Young Eun Kim ◽  
Ji Young Yun ◽  
Gwanhee Ehm ◽  
Han-Joon Kim ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
De Novo ◽  
Motor Symptoms ◽  
Non Motor Symptoms
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