Gene therapy: A Revolution in Medicine or a Risky Game with our DNA?

Introduction: The aim of this review is to provide an overview of the applications of gene therapies in various diseases and to highlight areas where further research is needed. Materials and methods: A review of chosen literature in the PubMed database was conducted, using the following keywords: ,,gene therapy”, “SMA”, “DMD”, “Parkinson’s Disease”, “Huntington’s disease” Summary: Gene therapy can be useful in a variety of medical conditions, including Parkinson’s disease, pulmonary hypertension, Wiskott-Aldrich syndrome, spinal muscular atrophy (SMA), Huntington’s disease, Duchenne muscular dystrophy (DMD), and chronic pain management. Different gene therapy approaches, such as viral vector delivery, CRISPR-Cas9 gene editing, exon-skipping therapy, and antisense oligonucleotides (ASOs), have demonstrated potential in treating these diseases. Conclusions: Gene therapy represents a groundbreaking advancement in medicine, offering hope for diseases that were once considered untreatable. Clinical trials have demonstrated encouraging outcomes in treating neurodegenerative and genetic disorders. Future developments in gene editing tools, improved vector systems, and targeted delivery methods will be crucial in enhancing the efficacy of gene therapy.

Authors

Institutions

Publication Details

Journal
Quality in Sport
Published
2025-03-07
DOI
https://doi.org/10.12775/qs.2025.39.58956
Primary Topic
Biotechnology and Related Fields
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gene therapy: A Revolution in Medicine or a Risky Game with our DNA?

Weronika Grywińska, Aleksandra Głowacka, Julia Kozakiewicz, Aleksandra Okońska et al.
Quality in Sport
Biotechnology and Related Fields
article

Gene therapy: A Revolution in Medicine or a Risky Game with our DNA?

Weronika Grywińska, Aleksandra Głowacka, Julia Kozakiewicz, Aleksandra Okońska, Kamil Kościelecki, Agnieszka Kalisz, Iwona Skorulska, Klaudia Mączewska, Patrycja Długozima, Paulina Grzeszczuk
article en

Abstract

Introduction: The aim of this review is to provide an overview of the applications of gene therapies in various diseases and to highlight areas where further research is needed. Materials and methods: A review of chosen literature in the PubMed database was conducted, using the following keywords: ,,gene therapy”, “SMA”, “DMD”, “Parkinson’s Disease”, “Huntington’s disease” Summary: Gene therapy can be useful in a variety of medical conditions, including Parkinson’s disease, pulmonary hypertension, Wiskott-Aldrich syndrome, spinal muscular atrophy (SMA), Huntington’s disease, Duchenne muscular dystrophy (DMD), and chronic pain management. Different gene therapy approaches, such as viral vector delivery, CRISPR-Cas9 gene editing, exon-skipping therapy, and antisense oligonucleotides (ASOs), have demonstrated potential in treating these diseases. Conclusions: Gene therapy represents a groundbreaking advancement in medicine, offering hope for diseases that were once considered untreatable. Clinical trials have demonstrated encouraging outcomes in treating neurodegenerative and genetic disorders. Future developments in gene editing tools, improved vector systems, and targeted delivery methods will be crucial in enhancing the efficacy of gene therapy.

Quality in SportVol. 39
Wyoming State Department of Health (US), University Clinical Hospital In Bialystok (PL), Zurad (Poland) (PL), Wojewódzki Szpital Zespolony im. Jędrzeja Śniadeckiego (PL)
Openalex Percentile: Top 93%
Biotechnology and Related Fields
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.