Evidence map›Paper›PMID 39267142›Full record

ArticleActa neuropathologica communications2024

TwinF interface inhibitor FP802 prevents retinal ganglion cell loss in a mouse model of amyotrophic lateral sclerosis.

Yu Meng Wang, Jing Yan, Sarah K Williams, Richard Fairless, Hilmar Bading

Abstract read
In one paragraph

Article in Acta neuropathologica communications, 2024. 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.

  1. Article
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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

5 authors.

Yu Meng WangDepartment of Neurobiology, Interdisciplinary Center for Neurosciences (IZN), Heidelberg University, 69120, Heidelberg, Germany.
Jing YanDepartment of Neurobiology, Interdisciplinary Center for Neurosciences (IZN), Heidelberg University, 69120, Heidelberg, Germany.ORCID 0000-0002-3402-5543
Sarah K WilliamsDepartment of Neurology, University Clinic Heidelberg, 69120, Heidelberg, Germany.ORCID 0000-0003-2770-6276
Richard FairlessDepartment of Neurology, University Clinic Heidelberg, 69120, Heidelberg, Germany.ORCID 0000-0002-6817-9671
Hilmar BadingDepartment of Neurobiology, Interdisciplinary Center for Neurosciences (IZN), Heidelberg University, 69120, Heidelberg, Germany. Bading@nbio.uni-heidelberg.de.ORCID 0000-0003-0258-4348

Funding

Deutsche Forschungsgemeinschaft BA 1007/7-1Deutsche Forschungsgemeinschaft FOR 2289HORIZON EUROPE European Research Council Advanced Grant 233024
6 · The paper itself

Abstract

Motor neuron loss is well recognized in amyotrophic lateral sclerosis (ALS), but research on retinal ganglion cells (RGCs) is limited. Ocular symptoms are generally not considered classic ALS symptoms, although RGCs and spinal motor neurons share certain cell pathologies, including hallmark signs of glutamate neurotoxicity, which may be triggered by activation of extrasynaptic NMDA receptors (NMDARs). To explore potential novel strategies to prevent ALS-associated death of RGCs, we utilized inhibition of the TwinF interface, a new pharmacological principle that detoxifies extrasynaptic NMDARs by disrupting the NMDAR/TRPM4 death signaling complex. Using the ALS mouse model SOD1

Indexed as

Amyotrophic Lateral SclerosisDisease Models, AnimalMice, TransgenicRetinal Ganglion CellsAnimalsBasic Helix-Loop-Helix ProteinsBrain-Derived Neurotrophic FactorElectroretinographyHumansMiceMice, Inbred C57BLNeuroprotective AgentsBasic Helix-Loop-Helix ProteinsBrain-Derived Neurotrophic FactorNeuroprotective AgentsAmyotrophic lateral sclerosisFP802NeuroprotectionNeuroprotective gene regulationRetinal ganglion cell degenerationTwinF interface inhibitor

Identifiers

PMID39267142
PMCPMC11391826

What OpenQuestion holds

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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.