Evidence map›Paper›PMID 32677502›Full record

ArticleAutophagy2020

Is it the time of autophagy fine-tuners for neuroprotection?

David Romeo-Guitart, Sara Marmolejo-Martínez-Artesero, Caty Casas

Open access · bronzeAbstract readComment
In one paragraph

Article in Autophagy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 2 countries.

David Romeo-GuitartInstitut de Neurociències (Inc) and Department of Cell Biology, Physiology and Immunology, Universitat Autònoma De Barcelona (UAB) , Barcelona, Spain.ORCID 0000-0003-3368-9302
Sara Marmolejo-Martínez-ArteseroInstitut de Neurociències (Inc) and Department of Cell Biology, Physiology and Immunology, Universitat Autònoma De Barcelona (UAB) , Barcelona, Spain.ORCID 0000-0001-5357-2123
Caty CasasInstitut de Neurociències (Inc) and Department of Cell Biology, Physiology and Immunology, Universitat Autònoma De Barcelona (UAB) , Barcelona, Spain.ORCID 0000-0002-2273-6321
Universitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cells and organisms are intrinsically prepared to effectively deal with damage caused by insults and heal themselves by triggering a plethora of stress responses including macroautophagy/autophagy. However, autophagy may become malfunctional during aging, neurodegeneration, and neurotrauma. We aimed to overcome autophagy dysfunction by refining therapeutics using multi-target approaches. Thus, we have demonstrated that modulation of autophagy with the multitarget drug NeuroHeal is neuroprotective in several neurodegeneration models in which previous autophagy modulators have failed. The key element of success is the coordinated activation of opposing forces that modulate autophagy with NeuroHeal, probably leading to the autophagy-dependent degradation of death executors such as PARP1. The precise tuning of autophagy thus allows the neuron to adapt to insults, survive and repair itself. These findings support the advent a new era of neuroprotectants that counteract neuronal damage by targeting in unison different pathways of the self-repair process, including autophagy.

Indexed as

AutophagyNeuroprotectionAcamprosateDrug CombinationsMotor NeuronsRibavirinAcamprosateacamprosate, ribavirin drug combinationDrug CombinationsRibavirinCellular resilienceendogenous mechanisms of protectionfine-tuned autophagymultitargetneurodegenerationneurohealneuroprotection

Identifiers

PMID32677502
PMCPMC7595645
OpenAlexW3042405662

What OpenQuestion 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 OpenQuestion graph.