Evidence map›Paper›PMID 34194298›Full record

ReviewFrontiers in molecular neuroscience2021

Gene Therapy for Neurodegenerative Disease: Clinical Potential and Directions.

Xiaolin Zhu, Yu Zhang, Xin Yang, Chunyan Hao, Hubin Duan

Abstract readReview
In one paragraph

Review in Frontiers in molecular neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Viral and cellular insulators promote sustained HSV vector-mediated transgene expression in brain.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  3. Viruses and neurodegeneration: a growing concern.Journal of translational medicine · 2025
    Review
  4. Article
  5. Emerging Perspectives on Prime Editor Delivery to the Brain.Pharmaceuticals (Basel, Switzerland) · 2024
    Review
  6. The Role of Oxidative Stress in Trisomy 21 Phenotype.Cellular and molecular neurobiology · 2023
    Review
  7. Review
  8. Review
  9. Review
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.

Xiaolin ZhuDepartment of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan, China.
Yu ZhangDepartment of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan, China.
Xin YangDepartment of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan, China.
Chunyan HaoDepartment of Geriatrics, First Hospital of Shanxi Medical University, Taiyuan, China.
Hubin DuanDepartment of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pathogenesis of neurodegenerative diseases (NDDs) is complex and diverse. Over the decades, our understanding of NDD has been limited to pathological features. However, recent advances in gene sequencing have facilitated elucidation of NDD at a deeper level. Gene editing techniques have uncovered new genetic links to phenotypes, promoted the development of novel treatment strategies and equipped researchers with further means to construct effective cell and animal models. The current review describes the history of evolution of gene editing tools, with the aim of improving overall understanding of this technology, and focuses on the four most common NDD disorders to demonstrate the potential future applications and research directions of gene editing.

Indexed as

Alzheimer’s diseaseamyotrophic lateral sclerosisgene editingHuntington’s diseaseneurodegenerative diseaseParkinson’s disease

Identifiers

PMID34194298
PMCPMC8236824

What OpenQuestion holds

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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.