Evidence map›Paper›PMID 42055257›Full record

ArticleNeurobiology of disease2026

Selective vulnerability of monoaminergic neurons and network spread of alpha-synuclein jointly explain pathology progression in Parkinson's disease models.

Samuel Teshome, Justin Torok, Christopher Mezias, Ajay Gupta, Ashish Raj

Abstract read
In one paragraph

Article in Neurobiology of disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Samuel TeshomeDuke University School of Medicine, Durham, NC, United States.
Justin TorokDepartment of Radiology, University of California, San Francisco, San Francisco, CA, United States.
Christopher MeziasCold Spring Harbor Laboratory, Cold Spring Harbor, NY, United States.
Ajay GuptaDepartment of Radiology, Columbia Univeristy Vagelos College of Physicians and Surgeons, New York, NY, United States.
Ashish RajDepartment of Radiology, University of California, San Francisco, San Francisco, CA, United States. Electronic address: ashish.raj@ucsf.edu.

Funding

Understanding the dynamic interactions between tau pathology and microgliamediated inflammation in Alzheimer's DiseaseR01AG072753 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI BUTLER, TRACY A., GUPTA, AJAY · 2021 to 2025
$5.3M
Predictive model of spread of Parkinson's pathology using network diffusionR01NS092802 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI GUPTA, AJAY, RAJ, ASHISH · 2016 to 2020
$2.8M
Mathematical modeling of selective vulnerability of genes, cells and network in mouse tauopathyRF1AG087302 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RAJ, ASHISH · 2024 to 2024
$2.1M
Exploring the differential spreading of distinct pathological conformers of AD/LBD-related proteins by combining mathematical modeling and functional studyR21AG087921 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PENG, CHAO, RAJ, ASHISH · 2024 to 2025
$441k
NIA NIH HHS R01 AG072753NIA NIH HHS R21 AG087921NIA NIH HHS RF1 AG087302NINDS NIH HHS R01 NS092802
6 · The paper itself

Abstract

The trans-synaptic propagation of α-synuclein aggregates is a defining feature of Parkinson's disease, yet how specific cellular phenotypes interact with the brain's structural connectome to govern disease progression remains a fundamental question in neurobiology. Here, we address this question using a connectome-based modeling framework that simulates synucinopathy spread along the mouse structural connectome, to examine how monoaminergic cell-type vulnerability and network-based transmission jointly shape pathology progression. 'Nexopathy in silico' (NexIS), along with the MISS algorithm for spatial gene expression mapping, provided a framework to examine how regional and cellular context impact synucleinopathy spread. In particular we focus on monoaminergic neurons, since inadequate clearance of pathologic α-synuclein species in monoaminergic neurons is a prominent hypothesis implicated in PD. We delineate the specific roles of monoaminergic cell types and directional transmission of α-synuclein arising from axonal transport polarity in shaping α-synuclein pathology in mouse models. Our analysis reveals that hindbrain noradrenergic (HBNOR) and midbrain dopaminergic (MBDOP) cell-type distributions are the primary mediators of network-wide transmission, with the former outperforming endogenous regional Snca expression as predictors of long-term pathology. Crucially, we demonstrate a synergistic effect between cell-type vulnerability and retrograde-biased transport, finding that both factors are required to accurately recapitulate empirical spatiotemporal patterns at 6 and 12 months post-seeding. This work constitutes one of the most mechanistically complete models of synucleinopathy to date, providing a comprehensive theoretical bridge that links microscale molecular motor regulation to macroscale regional vulnerability. Our findings suggest that the interaction between noradrenergic cell-type distribution and retrograde transport serves as the dominant driver of late-stage progression, offering highly specific cellular and mechanistic targets for therapeutic intervention.

Indexed as

alpha-SynucleinBiogenic MonoaminesBrainNerve NetNeuronsParkinson DiseaseAnimalsConnectomeDisease Models, AnimalDisease ProgressionMiceMice, Transgenicalpha-SynucleinBiogenic MonoaminesAlpha- synucleinCell-type-specific expressionCell-type vulnerabilityConnectomeConnectome-based modelingMonoaminergic neuronsMonoaminergic vulnerabilityMonoaminesNetwork diffusionNetwork propagationParkinson diseaseParkinson’s diseaseα-synuclein

Identifiers

PMID42055257
PMCPMC13286620

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.