AIMC Topic: Genetic Therapy

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Emerging therapeutic strategies in muscular dystrophy: an updated review on pathogenesis and treatment advances.

Molecular biology reports
Muscular dystrophy (MD) comprises a class of genetic conditions characterized by the progressive degeneration and weakness of skeletal muscle. Genetic etiologies differ among the major muscular dystrophies: myotonic dystrophy type 1 (DM1) is linked t...

Intelligent design of tumor microenvironment-responsive Adeno-associated virus vectors: overcoming delivery barriers and enabling precision therapy.

Medical oncology (Northwood, London, England)
Adeno-associated virus (AAV) has emerged as a pivotal vector for cancer gene therapy due to its low immunogenicity, non-pathogenicity, and sustained transgene expression capacity. However, the heterogeneity and complexity of the tumor microenvironmen...

An overview of gene and cell therapy approaches for Alzheimer's disease.

Metabolic brain disease
Alzheimer's disease (AD), acknowledged as the leading cause of dementia, is defined by the accumulation of amyloid plaques and neurofibrillary tangles (NFTs) in the brain. This condition presents a significant challenge to global health due to its co...

Enhancing lipid nanoparticles-mediated RNA delivery to glioblastoma via targeted strategies.

Journal of controlled release : official journal of the Controlled Release Society
Glioblastoma (GBM) is an aggressive central nervous system (CNS) malignancy with a poor prognosis and limited responses to conventional therapies. RNA-based therapeutics, with their gene-targeting specificity, present a promising avenue for GBM treat...

Artificial intelligence-driven epigenetic CRISPR therapeutics: a structured multi-domain meta-analysis of therapeutic efficacy, off-target prediction, and gRNA optimization.

Functional & integrative genomics
CRISPR-based epigenetic editing enables reversible regulation of gene expression without permanent DNA modification. The integration of artificial intelligence (AI) enhances guide RNA (gRNA) design, off-target prediction, and delivery optimization. W...

Current and Emerging Precision Therapies for Developmental and Epileptic Encephalopathies.

Pediatric neurology
Developmental and epileptic encephalopathies (DEEs) are severe neurological disorders characterized by childhood-onset seizures and significant developmental impairments. Seizures are often refractory to treatment with traditional antiseizure medicat...

Prediction of Adeno-Associated Virus Fitness with a Protein Language-Based Machine Learning Model.

Human gene therapy
Adeno-associated virus (AAV)-based therapeutics have the potential to transform the lives of patients by delivering one-time treatments for a variety of diseases. However, a critical challenge to their widespread adoption and distribution is the high...

Advancing ocular gene therapy: a machine learning approach to enhance delivery, uptake and gene expression.

Drug discovery today
Ocular gene therapy offers a promising approach for treating various eye diseases, centered on the process of transfection, including delivery, cellular uptake and gene expression. This study addresses anatomical and physiological barriers, such as t...

Advances in AAV capsid engineering: Integrating rational design, directed evolution and machine learning.

Molecular therapy : the journal of the American Society of Gene Therapy
Adeno-associated virus (AAV) has emerged as a highly promising vector for human gene therapy due to its favorable safety profile, versatility, and ability to transduce a wide range of tissues. However, natural AAV serotypes have shortcomings, includi...

Artificial intelligence-quantified schisis volume as a structural endpoint for gene therapy clinical trials in X-linked retinoschisis.

Acta ophthalmologica
PURPOSE: To use artificial intelligence (AI) for quantifying schisis volume (ASV) in X-linked retinoschisis (XLRS) for use as a structural endpoint in gene therapy clinical trials.