Evidence map›Paper›PMID 38093787›Full record

ArticleFree neuropathology2023

Molecular fragment characteristics and distribution of tangle associated TDP-43 (TATs) and other TDP-43 lesions in Alzheimer's disease.

Keith A Josephs, Shunsuke Koga, Nirubol Tosakulwong, Stephen D Weigand, Trang Thu Nha Pham, Matt Baker, Jennifer L Whitwell, Rosa Rademakers, Leonard Petrucelli, Dennis W Dickson

Open access · greenAbstract read
In one paragraph

Article in Free neuropathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
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

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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

8 citing papers in PubMed, 6 citations in OpenAlex.

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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

10 authors at 4 institutions in 2 countries.

Keith A JosephsDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Shunsuke KogaDepartment of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA.
Nirubol TosakulwongDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Stephen D WeigandDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Trang Thu Nha PhamDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Matt BakerDepartment of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA.
Jennifer L WhitwellDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Rosa RademakersDepartment of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA.
Leonard PetrucelliDepartment of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA.
Dennis W DicksonDepartment of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA.
Jacksonville College · USMayo Clinic · USMayo Clinic in Florida · USUniversity of Antwerp · BE

Funding

Understanding the role of TDP-43 in Alzheimers disease and FTLDR01AG037491 · NIA · MAYO CLINIC ROCHESTER · PI JOSEPHS, KEITH A · 2010 to 2024
$6.5M
NIA NIH HHS R01 AG037491
6 · The paper itself

Abstract

TAR DNA binding protein 43 (TDP-43) pathology is a defining feature of frontotemporal lobar degeneration (FTLD). In FTLD-TDP there is a moderate-to-high burden of morphologically distinctive TDP-43 immunoreactive inclusions distributed throughout the brain. In Alzheimer's disease (AD), similar TDP-43 immunoreactive inclusions are observed. In AD, however, there is a unique phenomenon of neurofibrillary tangle-associated TDP-43 (TATs) whereby TDP-43 intermingles with neurofibrillary tangles. Little is known about the characteristics and distribution of TATs, or how burden and distribution of TATs compares to burden and distribution of other FTLD-TDP-like lesions observed in AD. Here we characterize molecular fragment characteristics, burden and distribution of TATs and assess how these features compare to features of other TDP-43 lesions. We performed TDP-43 immunohistochemistry with anti-phosphorylated, C- and N-terminal TDP-43 antibodies in 20 high-probability AD cases and semi-quantitative burden of seven inclusion types within five brain regions (entorhinal cortex, subiculum, CA1 and dentate gyrus of hippocampus, occipitotemporal cortex). Hierarchical cluster analysis was used to analyze the dataset that consisted of 75 different combinations of neuropathological features. TATs were nonspherical with heterogeneous staining patterns and present in all regions except hippocampal dentate. All three antibodies detected TATs although N-terminal antibody sensitivity was low. Three clusters were identified: Cluster-1 had mild-moderate TATs, moderate-frequent neuronal cytoplasmic inclusions, dystrophic neurites, neuronal intranuclear inclusions and fine neurites, and perivascular and granular inclusions identified only with the N-terminal antibody throughout the brain; Cluster-2 had scant TATs in limbic regions and Cluster-3 mild-moderate TATs and mild-moderate neuronal cytoplasmic inclusions and dystrophic neurites throughout the brain and moderate fine neurites. Only 17% of cluster 1 cases had the

Indexed as

Cluster analysisHippocampal sclerosisTAR DNA binding protein 43TATTMEM106b

Identifiers

PMID38093787
PMCPMC10716685
OpenAlexW4389799694

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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.