Evidence map›Paper›PMID 40396482›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025

Directionality bias underpins divergent spatiotemporal progression of Alzheimer-related tauopathy in mouse models.

Justin Torok, Christopher Mezias, Ashish Raj

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Justin TorokDepartment of Radiology, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0002-1866-4003
Christopher MeziasDepartment of Neuroscience, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA.
Ashish RajDepartment of Radiology, University of California, San Francisco, San Francisco, California, USA.

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
Network Modelling of Multimodal Dynamics in Alzheimer’s Disease and DementiaRF1AG062196 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NAGARAJAN, SRIKANTAN S., RAJ, ASHISH · 2019 to 2019
$3.0M
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
Dynamic Brain Imaging of Speech in Primary Progressive AphasiaRF1NS100440 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GORNO TEMPINI, MARIA LUISA, HOUDE, JOHN FRANCIS · 2023 to 2023
$2.4M
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
Understanding the dynamic interactions between tau pathology and microglia-mediated inflammation in Alzheimer's DiseaseR56AG064873 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI GUPTA, AJAY, RAJ, ASHISH · 2019 to 2019
$771k
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 R01AG072753NIA NIH HHS R01AG087302NIA NIH HHS R21 AG087921NIA NIH HHS R21AG087921NIA NIH HHS R56 AG064873NIA NIH HHS R56AG064873NIA NIH HHS RF1 AG062196NIA NIH HHS RF1AG062196NIA NIH HHS RF1 AG087302NINDS NIH HHS R01 NS092802NINDS NIH HHS R01NS092802NINDS NIH HHS RF1 NS100440NINDS NIH HHS RF1NS100440
6 · The paper itself

Abstract

introductionTrans-synaptic connectome-based spread is a shared mechanism behind different tauopathic conditions, but they exhibit divergent spatiotemporal progression. One explanation is that conditions may incur directional biases in tau transmission along fiber tracts.

methodsWe examined this hypothesis using tau data from 11 distinct mouse models across four experimental studies. For this purpose, we extended a network-based spread model by incorporating net directionality along the connectome.

resultsRetrograde bias better predicted tau progression than anterograde bias, but our best-fitting biophysical models incorporate the mixed effects of both retrograde- and anterograde-directed spread, with notable tau-strain-specific differences. There was a nontrivial association between directionality bias and tau aggressiveness, with more virulent strains exhibiting less retrograde character. DISCUSSION: Our study implicates directional bias in tau transmission along fiber tracts as a general feature of tauopathy spread and a strong candidate for explaining for the diversity of spatiotemporal tau progression between conditions. HIGHLIGHTS: Connectome-based spread is a feature underpinning tauopathic diseases, including Alzheimer's Eleven mouse models of tauopathy across four studies were explored Mathematical models of retrograde and nondirectional spread performed better than anterograde Different mouse models of tauopathy exhibited distinct spread biases Retrograde-biased spread tended to be associated with less aggressive tau strains.

Indexed as

Alzheimer DiseaseBrainTauopathiestau ProteinsAnimalsConnectomeDisease Models, AnimalDisease ProgressionMiceMice, Transgenictau ProteinsAlzheimer's diseasemathematical modelingmouse modelsnetwork spread modelsneurodegenerative diseaseprotein pathologyTautauopathy

Identifiers

PMID40396482
PMCPMC12093255

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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.