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Output Catalog

ASAP is committed to accelerating the pace of discovery and informing a path to a cure for Parkinson’s disease through collaboration, research-enabling resources, and data sharing. We’ve created this catalog to showcase the research outputs and tools developed by ASAP-funded programs.

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Development of a simplified smell test to identify Parkinson’s disease using multiple cohorts, machine learning and item response theory

Reduced olfaction is a common feature of typical Parkinson disease (PD) and dementia with Lewy bodies (DLB). We have created a simplified smell test based on seven specific odorants that can distinguish PD/DLB patients from healthy controls.

Program: Collaborative Research Network
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Comparative analysis of AAV serotypes for transduction of olfactory sensory neurons

This study compared the efficacy and selectivity of 11 different AAV serotypes for the efficient and selective transduction of murine olfactory sensory neurons in vivo. The findings inform research approaches and gene therapy based initiatives.

Program: Collaborative Research Network
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Constitutive nuclear accumulation of endogenous alpha-synuclein in mice causes motor impairment and cortical dysfunction, independent of protein aggregation

The authors created mice in which endogenous a-synuclein is localized to the nucleus. The mice show motor and GI deficits and motor cortex atrophy, suggesting that chronic nuclear a-synuclein can cause toxic phenotypes independent of its aggregation.

Program: Collaborative Research Network
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Synaptic Location Is a Determinant of the Detrimental Effects of α-Synuclein Pathology to Glutamatergic Transmission in the Basolateral Amygdala

Study explores α-synuclein's impact on amygdala in Parkinson's. Aggregation affects cortico-BLA transmission, linked to psychiatric deficits in PD.

Program: Collaborative Research Network
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Genetic and pharmacological reduction of CDK14 mitigates synucleinopathy

Decreasing alpha-synuclein levels is a potential therapeutic approach for synucleinopathies. The authors identified CDK14 regulates alpha-synuclein and show reduction of CDK14 reduces alpha-synuclein and PD-like characteristics.

Program: Collaborative Research Network
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A topographical atlas of α-synuclein dosage and cell type-specific expression in adult mouse brain and peripheral organs

This atlas provides much-needed insight into the cellular topography of αSyn, and provides a quantitative map to test assumptions about the role of αSyn in network vulnerability in PD and other αSynucleinopathies.

Program: Collaborative Research Network
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Neuropathological assessment of the olfactory bulb and tract in individuals with COVID-19

The authors concluded that after a fatal course of COVID-19, microscopic changes, when present, in the rostral, intracranial portion of the olfactory circuitry generally reflected neurodegenerative processes seen elsewhere in the brain.

Program: Collaborative Research Network
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Persistent Hyposmia as Surrogate for α-Synuclein-Linked Brain Pathology

The authors identified significant age- and posit that simple-to-administer, quantitative smell tests could serve as inexpensive screening tools in future population studies for the identification of α-synuclein-related brain disorders, including PD

Program: Collaborative Research Network
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3D imaging of neuronal inclusions and protein aggregates in human neurodegeneration by multiscale X-ray phase-contrast tomography

This study leverages X-ray phase-contrast tomography for detailed analysis of neurodegenerative diseases focusing on the 3D visualization and quantification of neuropathological features within fixed human postmortem tissue.

Program: Collaborative Research Network
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Code for analysis of smell test dataset included in: Development of a Simplified Smell Test to Identify Patients with Typical Parkinson’s as Informed by Multiple Cohorts, Machine Learning and External Validation

Code used for the analysis of smell test performance as reported in "Development of a Simplified Smell Test to Identify Patients with Typical Parkinson’s as Informed by Multiple Cohorts, Machine Learning and External Validation", Li et al., 2024

Program: Collaborative Research Network
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Dataset for: Development of a Simplified Smell Test to Identify Patients with Typical Parkinson’s as Informed by Multiple Cohorts, Machine Learning and External Validation

Clinical dataset relating to analysis of olfaction from multiple Parkinson disease cohorts. Olfactory performance was analyzed to create a simplified smell test as a screening tool for Parkinson disease and other forms of parkinsonism.

Program: Collaborative Research Network
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Code for clinical dataset analysis included in: Persistent Hyposmia as Surrogate for α-Synuclein-Linked Brain Pathology

Code used for the analysis of clinical data as reported in the study "Persistent Hyposmia as Surrogate for α-Synuclein-Linked Brain Pathology" in Mollenhauer, Li et al., MedRxiv 2023

Program: Collaborative Research Network
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Development of a Simplified Smell Test to Identify Patients with Typical Parkinson’s as Informed by Multiple Cohorts, Machine Learning and External Validation

Reduced olfaction is a common feature of typical Parkinson disease (PD) and dementia with Lewy bodies (DLB). We have created a simplified smell test based on seven specific odorants that can distinguish PD/DLB patients from healthy controls.

Program: Collaborative Research Network
View Article

Computational analysis for “Comparative Analysis of AAV Serotypes for the Transduction of Olfactory Sensory Neurons” by Belfort and Jia et al. 2024

Code for snRNAseq dataset analysis of AAV-infected mouse olfactory epithelium. This code accompanies the manuscript: Comparative Analysis of AAV Serotypes for the Transduction of Olfactory Sensory Neurons by Belfort, Jia et al. 2024.

Program: Collaborative Research Network
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Single nucleus transcriptomic dataset of AAV-infected mouse OE

Single nucleus sequencing dataset from mouse murine olfactory epithelium exposed to 4 AAV serotypes via nasal lavage.The goal was to identify the best candidate for transduction of olfactory sensory neurons. Code is included with the dataset.

Program: Collaborative Research Network
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