Evidence map›Paper›PMID 37443788›Full record

ArticleCells2023

Potent New Targets for Autophagy Enhancement to Delay Neuronal Ageing.

Janka Szinyákovics, Fanni Keresztes, Eszter Anna Kiss, Gergő Falcsik, Tibor Vellai, Tibor Kovács

Open access · goldAbstract read
In one paragraph

Article in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 17 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

6 authors at 1 institution in 1 country.

Janka SzinyákovicsDepartment of Genetics, Eötvös Loránd University (ELTE), H-1117 Budapest, Hungary.ORCID 0000-0002-4130-4604
Fanni KeresztesDepartment of Genetics, Eötvös Loránd University (ELTE), H-1117 Budapest, Hungary.
Eszter Anna KissDepartment of Genetics, Eötvös Loránd University (ELTE), H-1117 Budapest, Hungary.
Gergő FalcsikDepartment of Genetics, Eötvös Loránd University (ELTE), H-1117 Budapest, Hungary.
Tibor VellaiDepartment of Genetics, Eötvös Loránd University (ELTE), H-1117 Budapest, Hungary.
Tibor KovácsDepartment of Genetics, Eötvös Loránd University (ELTE), H-1117 Budapest, Hungary.
Eötvös Loránd University · HU

Funding

Genetics Research Group ELKH/ELTE 01062OTKA grants (Hungarian Scientific Research Fund) K K132439OTKA grants (Hungarian Scientific Research Fund) PD 143786ÚNKP-22-5 New National Excellence Program of Culture and Innovation from the source of the National Research, Development and Innovation Fund ÚNKP-22-5
6 · The paper itself

Abstract

Autophagy is a lysosomal-dependent degradation process of eukaryotic cells responsible for breaking down unnecessary and damaged intracellular components. Autophagic activity gradually declines with age due to genetic control, and this change contributes to the accumulation of cellular damage at advanced ages, thereby causing cells to lose their functionality and viability. This could be particularly problematic in post-mitotic cells including neurons, the mass destruction of which leads to various neurodegenerative diseases. Here, we aim to uncover new regulatory points where autophagy could be specifically activated and test these potential drug targets in neurodegenerative disease models of

Indexed as

Monomeric GTP-Binding ProteinsNeurodegenerative DiseasesParkinson DiseaseAgingAnimalsAutophagyDrosophilaDrosophila melanogasterHumansMammalsNeuronsSNARE ProteinsMonomeric GTP-Binding ProteinsSNARE ProteinsageingArl8autophagyDrosophilaneurodegenerationParkinson’s diseaseRab2Rab7

Identifiers

PMID37443788
PMCPMC10341134
OpenAlexW4382752889

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.