Evidence map›Paper›PMID 42706463›Full record

ReviewMolecular neurobiology2026

When Pathologies Collide: The Intersection of Tau and Alpha-Synuclein in Neurodegenerative Diseases.

Jenna N Hunt, Sandhya Kortagere

Abstract readReview
In one paragraph

Review in Molecular neurobiology, 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

2 authors.

Jenna N HuntDepartment of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, 19129, USA.ORCID http://orcid.org/0009-0007-2566-8428
Sandhya KortagereDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, 19129, USA. sk673@drexel.edu.ORCID https://orcid.org/0000-0002-3532-8669

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurodegenerative diseases, including Alzheimer's disease (AD) and Parkinson's disease (PD), are becoming increasingly prevalent in today's aging population and with significant cost to society. While these diseases were traditionally defined by distinct protein aggregates, namely, tau tangles and amyloid-β (Aβ) plaques in AD and α-synuclein (α-syn) inclusions in PD, substantial evidence reveals frequent mixed pathologies, with tau, α-syn, and Aβ aggregates coexisting in patients. This copathology complicates understanding disease mechanisms, classification, and progression, highlighting the need to examine mixed pathologies in neurodegenerative diseases to develop disease-modifying therapies. The presence of mixed proteinopathies suggests shared or converging pathological mechanisms, including synergistic aggregation, enhanced seeding capabilities, and shared protein-protein interactions. Understanding these molecular mechanisms is essential for identifying disease modifiers and refining experimental models. This review explores the pathogenic mechanisms of α-syn and tau individually, followed by exploration of their molecular interactions and potential mechanisms of coaggregation and exacerbation of pathology. By recognizing the intersection of these pathologies, further research can refine disease classifications for neurodegenerative diseases.

Indexed as

alpha-SynucleinNeurodegenerative DiseasesProtein Aggregation, PathologicalAnimalsHumansProtein Processing, Post-Translationaltau Proteinsalpha-Synucleintau ProteinsMixed proteinopathiesNeurodegenerative diseasesParkinson’s diseaseSynucleinSynucleinopathyTau

Identifiers

PMID42706463
PMCPMC13550077

What Socratic holds

Textmetadata
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 Socratic graph.