Evidence map›Paper›PMID 41303337›Full record

ArticleInternational journal of molecular sciences2025

SLP2/PHB Aggregates in ALS Mouse Models and Patients: Implications Beyond

Emmanuelle C Genin, Françoise Lespinasse, Alessandra Mauri-Crouzet, Luc Dupuis, Véronique Paquis-Flucklinger

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. 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

5 authors.

Emmanuelle C GeninTeam "Mitochondria, Diseases and Aging", Institute for Research on Cancer and Aging, Nice (IRCAN), Inserm U1081, CNRS UMR7284, Université Côte d'Azur (UniCA), 06107 Nice, France.ORCID 0000-0003-3039-7101
Françoise LespinasseTeam "Mitochondria, Diseases and Aging", Institute for Research on Cancer and Aging, Nice (IRCAN), Inserm U1081, CNRS UMR7284, Université Côte d'Azur (UniCA), 06107 Nice, France.
Alessandra Mauri-CrouzetTeam "Mitochondria, Diseases and Aging", Institute for Research on Cancer and Aging, Nice (IRCAN), Inserm U1081, CNRS UMR7284, Université Côte d'Azur (UniCA), 06107 Nice, France.
Luc DupuisCentre de Recherche en Biomédecine, Strasbourg Translational Neuroscience and Psychiatry, UMR-S1329, Inserm, Université de Strasbourg, 67000 Strasbourg, France.
Véronique Paquis-FlucklingerTeam "Mitochondria, Diseases and Aging", Institute for Research on Cancer and Aging, Nice (IRCAN), Inserm U1081, CNRS UMR7284, Université Côte d'Azur (UniCA), 06107 Nice, France.

Funding

Fondation pour la Recherche Médicale FRM: MND202004011475
6 · The paper itself

Abstract

Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disorder characterized by motor neuron (MN) degeneration, frequently overlapping with frontotemporal dementia (FTD). Protein aggregation is a hallmark of these disorders, yet the role of aggregates in ALS pathogenesis remains unclear. Previously, stomatin-like protein 2 (SLP2) and prohibitin (PHB) aggregates were identified in a model of

Indexed as

Amyotrophic Lateral SclerosisMembrane ProteinsProtein Aggregation, PathologicalRepressor ProteinsAgedAnimalsC9orf72 ProteinDisease Models, AnimalFemaleFrontotemporal DementiaHippocampusHumansMaleMiceMice, TransgenicMiddle AgedC9orf72 ProteinCHCHD10 protein, humanMembrane ProteinsMitochondrial ProteinsPHB protein, humanProhibitinsProtein AggregatesRepressor ProteinsRNA-Binding Protein FUSSuperoxide Dismutase-1Amyotrophic Lateral SclerosisCHCHD10motor neuron diseaseSLP2/PHB aggregates

Identifiers

PMID41303337
PMCPMC12652147

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.