Evidence map›Paper›PMID 34828446›Full record

ReviewGenes2021

Gene Therapeutic Approaches for the Treatment of Mitochondrial Dysfunction in Parkinson's Disease.

Jannik Prasuhn, Norbert Brüggemann

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 29 citations in OpenAlex.

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  12. Targeting Mitochondrial Complex I Deficiency in MPPBiological procedures online · 2024
    Article
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  14. Mitochondrial Inherited Disorders and their Correlation with Neurodegenerative Diseases.Endocrine, metabolic & immune disorders drug targets · 2024
    Review
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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

2 authors at 1 institution in 1 country.

Jannik PrasuhnInstitute of Neurogenetics, University of Lübeck, 23562 Lübeck, Germany.ORCID 0000-0003-4184-9409
Norbert BrüggemannInstitute of Neurogenetics, University of Lübeck, 23562 Lübeck, Germany.
University of Lübeck · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMitochondrial dysfunction has been identified as a pathophysiological hallmark of disease onset and progression in patients with Parkinsonian disorders. Besides the overall emergence of gene therapies in treating these patients, this highly relevant molecular concept has not yet been defined as a target for gene therapeutic approaches.

methodsThis narrative review will discuss the experimental evidence suggesting mitochondrial dysfunction as a viable treatment target in patients with monogenic and idiopathic Parkinson's disease. In addition, we will focus on general treatment strategies and crucial challenges which need to be overcome.

resultsOur current understanding of mitochondrial biology in parkinsonian disorders opens up the avenue for viable treatment strategies in Parkinsonian disorders. Insights can be obtained from primary mitochondrial diseases. However, substantial knowledge gaps and unique challenges of mitochondria-targeted gene therapies need to be addressed to provide innovative treatments in the future.

conclusionsMitochondria-targeted gene therapies are a potential strategy to improve an important primary disease mechanism in Parkinsonian disorders. However, further studies are needed to address the unique design challenges for mitochondria-targeted gene therapies.

Indexed as

Genes, MitochondrialAnimalsGene EditingGenetic TherapyHumansParkinson Diseasegene therapygenome editingmitochondriaParkinson’s disease

Identifiers

PMID34828446
PMCPMC8623067
OpenAlexW3215548965

What Socratic 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 Socratic graph.