Evidence map›Paper›PMID 35113871›Full record

ArticlePloS one2022

Low-level overexpression of wild type TDP-43 causes late-onset, progressive neurodegeneration and paralysis in mice.

Chunxing Yang, Tao Qiao, Jia Yu, Hongyan Wang, Yansu Guo, Johnny Salameh, Jake Metterville, Sepideh Parsi, Issa Yusuf, Robert H Brown and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
8.2field-weighted citation impact, top 2% 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

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

29 citing papers in PubMed, 62 citations in OpenAlex.

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  7. Context-dependent Interactors Regulate TDP-43 Dysfunction in ALS/FTLD.bioRxiv : the preprint server for biology · 2025
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  20. Creation of de novo cryptic splicing for ALS/FTD precision medicine.bioRxiv : the preprint server for biology · 2023
    Article
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

12 authors at 2 institutions in 1 country.

Chunxing YangDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Tao QiaoDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Jia YuTransgenics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, United States of America.
Hongyan WangDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Yansu GuoDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Johnny SalamehDepartment of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Jake MettervilleDepartment of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Sepideh ParsiDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Issa YusufDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Robert H BrownDepartment of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Huaibin CaiTransgenics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, United States of America.
Zuoshang XuDepartment of Biochemistry and Molecular Biotechnology, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.ORCID 0000-0003-1209-334X
University of Massachusetts Chan Medical School · USNational Institutes of Health · US

Funding

Next-generation antisense therapeutics for ALS and frontotemporal dementiaR01NS111990 · NINDS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Robert H Brown, Jonathan K Watts · 2019 to 2026
$5.2M
The Function of dynactin p150glued in Axonal Transport and Motor Neuron DiseasesZIAAG000946 · NIA · NATIONAL INSTITUTE ON AGING · PI CAI, HUAIBIN · 2009 to 2025
$3.0M
Protein Arginine Deiminase 2 (PAD2) and Protein Citrullination in ALSR01NS118145 · NINDS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI XU, ZUOSHANG · 2021 to 2025
$2.4M
An in vivo approach to understanding mutant PFN1 toxicity on motor neuronsR01NS101895 · NINDS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI XU, ZUOSHANG · 2017 to 2021
$1.8M
Transgenic Mouse Models of FUS/TLS-Mediated Amyotrophic Lateral SclerosisRC1NS068391 · NINDS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BROWN, ROBERT H., HAYWARD, LAWRENCE J · 2009 to 2010
$1000k
LONGITUDINAL ANALYSIS OF AGE RELATED MEMORY DECLINEK23AG000946 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SMALL, SCOTT A · 2000 to 2004
$640k
Does TDP-43 dysfunction in astrocytes trigger motor neuron degeneration?R21NS092127 · NINDS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI XU, ZUOSHANG · 2015 to 2016
$461k
Modeling TDP-43 Dysfunction in vivoR21NS062230 · NINDS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI XU, ZUOSHANG · 2008 to 2009
$391k
The Function of dynactin p150glued in Axonal Transport and Motor Neuron DiseasesZ01AG000946 · NIA · NATIONAL INSTITUTE ON AGING · PI CAI, HUAIBIN · 2008 to 2008
$155k
Intramural NIH HHS Z01 AG000946NIA NIH HHS K23 AG000946NINDS NIH HHS R01 NS101895NINDS NIH HHS R01 NS111990NINDS NIH HHS R01 NS118145NINDS NIH HHS R21 NS062230NINDS NIH HHS R21 NS092127
6 · The paper itself

Abstract

Modestly increased expression of transactive response DNA binding protein (TDP-43) gene have been reported in amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD), and other neuromuscular diseases. However, whether this modest elevation triggers neurodegeneration is not known. Although high levels of TDP-43 overexpression have been modeled in mice and shown to cause early death, models with low-level overexpression that mimic the human condition have not been established. In this study, transgenic mice overexpressing wild type TDP-43 at less than 60% above the endogenous CNS levels were constructed, and their phenotypes analyzed by a variety of techniques, including biochemical, molecular, histological, behavioral techniques and electromyography. The TDP-43 transgene was expressed in neurons, astrocytes, and oligodendrocytes in the cortex and predominantly in astrocytes and oligodendrocytes in the spinal cord. The mice developed a reproducible progressive weakness ending in paralysis in mid-life. Detailed analysis showed ~30% loss of large pyramidal neurons in the layer V motor cortex; in the spinal cord, severe demyelination was accompanied by oligodendrocyte injury, protein aggregation, astrogliosis and microgliosis, and elevation of neuroinflammation. Surprisingly, there was no loss of lower motor neurons in the lumbar spinal cord despite the complete paralysis of the hindlimbs. However, denervation was detected at the neuromuscular junction. These results demonstrate that low-level TDP-43 overexpression can cause diverse aspects of ALS, including late-onset and progressive motor dysfunction, neuroinflammation, and neurodegeneration. Our findings suggest that persistent modest elevations in TDP-43 expression can lead to ALS and other neurological disorders involving TDP-43 proteinopathy. Because of the predictable and progressive clinical paralytic phenotype, this transgenic mouse model will be useful in preclinical trial of therapeutics targeting neurological disorders associated with elevated levels of TDP-43.

Identifiers

PMID35113871
PMCPMC8812852
OpenAlexW4226041466

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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.