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In Vitro Enzyme Measurement to Test Pharmacological Chaperone Responsiveness in Fabry and Pompe Disease
Published on: December 20, 2017
Highlights of Precision Medicine, Genetics, Epigenetics and Artificial Intelligence in Pompe Disease
Marta Moschetti1, Marika Venezia1, Miriam Giacomarra1
1Institute for Biomedical Research and Innovation (IRIB), National Research Council (CNR), 90146 Palermo, Italy.
Insights
Pompe disease, a neuromuscular disorder from GAA enzyme deficiency, presents challenges in diagnosis and treatment. This review explores genetic, epigenetic, and AI approaches to understand its complex mechanisms and complications.
Area of Science:
- Biochemistry
- Genetics
- Neurology
Background:
- Pompe disease is a rare neuromuscular disorder caused by acid alpha-glucosidase (GAA) enzyme deficiency, leading to glycogen buildup in lysosomes.
- It manifests in infantile and adult forms, both causing progressive muscle weakness and mobility loss, with diagnostic and biomarker challenges.
- Disease complexity arises from multifactorial influences, including pre-treatment muscle damage, autophagic system dysfunction, and various molecular pathways.
Purpose of the Study:
- To conduct a comprehensive literature review on Pompe disease.
- To examine known data and complications associated with Pompe disease.
- To explore methodologies for studying the complex characteristics of Pompe disease.
Main Methods:
- Literature review of existing data on Pompe disease.
- Application of genetic and epigenetic knowledge.
- Progression from proteomics to transcriptomics, with an interest in artificial intelligence.
Main Results:
- The review synthesizes current knowledge on Pompe disease pathophysiology and clinical manifestations.
- Identifies challenges in early diagnosis and the utility of biomarkers.
- Highlights the multifactorial nature of the disease, involving genetic, epigenetic, and cellular pathway interactions.
Conclusions:
- Understanding Pompe disease requires integrating genetic, epigenetic, proteomic, and transcriptomic data.
- Artificial intelligence shows promise in analyzing complex disease data.
- Further research is needed to address diagnostic and therapeutic challenges in Pompe disease.
Abstract:
Pompe disease is a neuromuscular disorder caused by a deficiency of the enzyme acid alpha-glucosidase (GAA), which leads to lysosomal glycogen accumulation and progressive development of muscle weakness. Two distinct isoforms have been identified. In the infantile form, the weakness is often severe and leads to motor difficulties from the first few months of life. In adult patients, the progression is slower but can still lead to significant loss of mobility. The current inherent difficulties of the disease lie in both early diagnosis and the use of biomarkers. Given that this is a multifactorial disease, a number of components may exert an influence on the disease process; from the degree of pre-ERT (enzyme replacement therapy) muscle damage to the damaged autophagic system and the different pathways involved. What methodology should be employed to study the complex characteristics of Pompe disease? Our approach relies on the application of genetic and epigenetic knowledge, with a progression from proteomics to transcriptomics. It is also becoming increasingly evident that artificial intelligence is a significant area of interest. The objective of this study is to conduct a comprehensive review of the existing literature on the known data and complications associated with the disease in patients with disorders attributed to Pompe disease.
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