Publications by authors named "Lana Chahine"

Biomarkers that aid in early detection of neurodegeneration are needed to enable early symptomatic treatment and enable identification of people who may benefit from neuroprotective interventions. Increasing evidence suggests that sleep biomarkers may be useful, given the bi-directional relationship between sleep and neurodegeneration and the prominence of sleep disturbances and altered sleep architectural characteristics in several neurodegenerative disorders. This study aimed to demonstrate that sleep can accurately characterize specific neurodegenerative disorders (NDD).

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Objective: Remote identification of individuals with severe hyposmia may enable scalable recruitment of participants with underlying alpha-synuclein aggregation. We evaluated the performance of a staged screening paradigm using remote smell testing to enrich for abnormal dopamine transporter single-photon emission computed tomography imaging (DAT-SPECT) and alpha-synuclein aggregation.

Methods: The Parkinson's Progression Markers Initiative (PPMI) recruited participants for the prodromal cohort who were 60-years and older without a Parkinson's disease diagnosis.

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Objectives: To determine the impact of dopamine deficiency and isolated REM sleep behavior disorder (iRBD) on cognitive performance in early neuronal alpha-synuclein disease (NSD) with hyposmia.

Methods: Using Parkinson's Progression Markers Initiative baseline data, cognitive performance was assessed with a cognitive summary score (CSS) developed by applying regression-based internal norms derived from a robust healthy control (HC) group. Performance was examined for participants with hyposmia classified as NSD-Integrated Staging System (NSD-ISS) Stage 2, either Stage 2A (CSF alpha-synuclein seed amplification assay [SAA]+, SPECT dopamine transporter scan [DaTscan]-) or 2B (SAA+, DaTscan+).

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The age-standardized prevalence of Parkinson's disease (PD) has increased substantially over the years and is expected to increase further. This emphasizes the need to identify modifiable risk factors of PD, which could form a logical entry point for the prevention of PD. The World Health Organization (WHO) has recommended reducing exposure to specific environmental factors that have been reported to be associated with PD, in particular pesticides, trichloroethylene (TCE), and air pollution.

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Article Synopsis
  • - The study aimed to gather insights from Parkinson's Disease (PD) patients on their mood and anxiety issues by analyzing data from the Parkinson's Disease Patient Report of Problems (PD-PROP).
  • - Data from over 21,000 participants revealed four key categories of non-depressive mood symptoms related to PD, with findings indicating women report these symptoms more frequently, and the issues of loneliness and isolation tend to increase as the disease progresses.
  • - The research suggests that healthcare providers should pay closer attention to mood-related problems, especially anxiety, loneliness, and negative emotions in female PD patients and those with longer disease duration.
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  • The study aimed to compare manual and automated methods for detecting REM sleep without atonia (RSWA) in patients with REM sleep behavior disorder (RBD) and a control group.
  • Researchers evaluated the accuracy of automated RSWA detection through in-laboratory and in-home recordings, finding high agreement with expert scoring and good reliability of results across multiple nights.
  • Results showed that automated detection provided a strong ability to differentiate between RBD patients and control subjects, suggesting it could be a useful tool for diagnosing RBD.
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Background And Objectives: Isolated REM sleep behavior disorder (iRBD) carries increased risk of neurodegenerative parkinsonian disorder or dementia (NPD) but is difficult to accurately screen for in the community. Health care data offer the opportunity to identify large numbers of iRBD cases among outpatients. We aimed to determine the positive predictive value (PPV) of an RBD (ICD) code for actual iRBD based on manual review of the electronic health record (EHR), examine risk of NPD diagnosis, and explore whether a statistical model developed using selected EHR data can identify individuals with the RBD ICD code who have high probability for actual iRBD.

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  • Understanding the genetics of Parkinson's disease (PD) is crucial for developing effective treatments globally, but there's a lack of diversity in current research.
  • The Black and African American Connections to Parkinson's Disease (BLAAC PD) study aims to investigate the genetics of PD specifically in Black and African American populations, addressing this gap.
  • With a goal of enrolling up to 4,000 participants, including both individuals with PD and controls, the study emphasizes community involvement and aims to remove barriers to participation in research.
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Long-term longitudinal data on outcomes in sporadic Parkinson's Disease are limited, especially from cohorts with extensive biological characterization. Recent advances in biomarkers characterization of Parkinson's Disease necessitate an updated examination of long-term progression within contemporary cohorts like the Parkinson's Progression Markers Initiative, which enrolled individuals within 2 years of clinical diagnosis of Parkinson's Disease. Our study leverages the Neuronal Synuclein Disease framework, which defines the disease based on biomarker assessed presence of neuronal alpha-synuclein and dopamine deficit, rather than based on conventional clinical diagnostic criteria.

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The Neuronal alpha-Synuclein Disease (NSD) biological definition and Integrated Staging System (NSD-ISS) provide a research framework to identify individuals with Lewy body pathology and stage them based on underlying biology and increasing degree of functional impairment. Utilizing data from the PPMI, PASADENA, and SPARK studies, we developed and applied biologic and clinical data-informed definitions for the NSD-ISS across the disease continuum. Individuals enrolled as Parkinson's disease, Prodromal, or Healthy Controls were defined and staged based on biological, clinical, and functional anchors at baseline.

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Article Synopsis
  • The Neuronal alpha-Synuclein Disease (NSD) and its Integrated Staging System (NSD-ISS) aim to identify and classify individuals with Lewy body pathology according to biological and functional factors.
  • Data from multiple studies reveal that a significant percentage of participants with Parkinson’s disease (PD) were classified as S+ (consistent with NSD), indicating a strong link between biological markers and disease staging.
  • Findings suggest that the baseline stage of individuals influences the timeline for progression to significant clinical outcomes, highlighting the need for further validation of the staging anchors in longer-term studies.
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Background: Fatigability in community-dwelling older adults is highly prevalent and disabling, but lacks a treatment. Greater nigrostriatal dopaminergic signaling can ameliorate performance fatigability in healthy young adults, but its role in community-dwelling older adults is not known. We hypothesized that higher nigrostriatal dopaminergic integrity would be associated with lower performance fatigability, independent of cardiopulmonary and musculoskeletal energetics and other health conditions.

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Objective: To develop and externally validate models to predict probabilities of alpha-synuclein (a-syn) positive or negative status in vivo in a mixture of people with and without Parkinson's disease (PD) using easily accessible clinical predictors.

Methods: Uni- and multi-variable logistic regression models were developed in a cohort of participants from the Parkinson Progression Marker Initiative (PPMI) study to predict cerebrospinal fluid (CSF) a-syn status as measured by seeding amplification assay (SAA). Models were externally validated in a cohort of participants from the Systemic Synuclein Sampling Study (S4) that had also measured CSF a-syn status using SAA.

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  • Recent research aimed to reevaluate the long-term risk of dementia in Parkinson's disease, using data from two large studies: PPMI and a cohort at the University of Pennsylvania.
  • The study assessed 417 participants from PPMI and 389 from the Penn cohort, analyzing dementia diagnoses over time using various cognitive assessments.
  • Results showed that by 10 years post-Parkinson's diagnosis, dementia probabilities were significantly lower than the previously cited 80%, with only 9-15% in the PPMI group and 47% diagnosed in the Penn cohort.
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  • The study investigates LRRK2-associated parkinsonism cases, focusing on the presence or absence of pathologic alpha-synuclein aggregates, which is critical for developing treatments.
  • Results indicate that those without alpha-synuclein aggregates are generally older, have a similar diagnosis duration, and experience different motor and olfactory symptoms compared to those with aggregates.
  • The analysis highlights the need for further understanding of the clinical features and biological differences to enhance therapeutic strategies for Parkinson's disease.
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Background And Objectives: Cognitive impairment is experienced by up to 80% of people with Parkinson disease (PD). Little is known regarding the subjective experience and frequency of bothersome cognitive problems across the range of disease duration as expressed directly in patients' own words. We describe the types and frequency of bothersome cognitive symptoms reported verbatim by patients with PD.

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Parkinson's disease (PD) carries substantial psychosocial burden. Using a database of responses by people with PD reporting up to five "most bothersome problems," we identified 225 fear-based verbatims, which were organized using the framework method into 26 categories. Commonly-reported fears included uncertainty of progression (n = 60, 26.

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Background: Early identification of subjective cognitive complaints (SCC) in Parkinson's disease (PD) may improve patient care if it predicts cognition-related functional impairment (CFI).

Objectives: The aim was to determine the cross-sectional and longitudinal association between SCC and CFI in PD.

Methods: Data were obtained from Fox Insight, an online longitudinal study that collects PD patient-reported outcomes.

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Parkinson's disease and dementia with Lewy bodies are currently defined by their clinical features, with α-synuclein pathology as the gold standard to establish the definitive diagnosis. We propose that, given biomarker advances enabling accurate detection of pathological α-synuclein (ie, misfolded and aggregated) in CSF using the seed amplification assay, it is time to redefine Parkinson's disease and dementia with Lewy bodies as neuronal α-synuclein disease rather than as clinical syndromes. This major shift from a clinical to a biological definition of Parkinson's disease and dementia with Lewy bodies takes advantage of the availability of tools to assess the gold standard for diagnosis of neuronal α-synuclein (n-αsyn) in human beings during life.

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Background: An attenuated heart rate response to exercise, termed chronotropic incompetence, has been reported in Parkinson's disease (PD). Chronotropic incompetence may be a marker of autonomic dysfunction and a cause of exercise intolerance in early stages of PD.

Objective: To investigate the relationship between chronotropic incompetence, orthostatic blood pressure change (supine - standing), and exercise performance (maximal oxygen consumption, VO2peak) in individuals with early PD within 5 years of diagnosis not on dopaminergic medications.

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Introduction: Internal tremor (IT) occurs in > 30 % of people with Parkinson's Disease (PwPD), but remains largely uninvestigated. Our objective was to describe demographic characteristics and associated symptoms in PwPD who reported IT.

Methods: This was a matched case-control survey study.

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Background: Identifying a meaningful progression metric for Parkinson's disease (PD) that reflects heterogeneity remains a challenge.

Objective: To assess the frequency and baseline predictors of progression to clinically relevant motor and non-motor PD milestones.

Methods: Using data from the Parkinson's Progression Markers Initiative (PPMI) de novo PD cohort, we monitored 25 milestones across six domains ("walking and balance"; "motor complications"; "cognition"; "autonomic dysfunction"; "functional dependence"; "activities of daily living").

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Background: Free-text, verbatim replies in the words of people with Parkinson's disease (PD) have the potential to provide unvarnished information about their feelings and experiences. Challenges of processing such data on a large scale are a barrier to analyzing verbatim data collection in large cohorts.

Objective: To develop a method for curating responses from the Parkinson's Disease Patient Report of Problems (PD-PROP), open-ended questions that asks people with PD to report their most bothersome problems and associated functional consequences.

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Background: Little is known about the impact of the dopamine system on development of cognitive impairment (CI) in Parkinson disease (PD).

Objectives: We used data from a multi-site, international, prospective cohort study to explore the impact of dopamine system-related biomarkers on CI in PD.

Methods: PD participants were assessed annually from disease onset out to 7 years, and CI determined by applying cut-offs to four measures: (1) Montreal Cognitive Assessment; (2) detailed neuropsychological test battery; (3) Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) cognition score; and (4) site investigator diagnosis of CI (mild cognitive impairment or dementia).

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