A multi-omics-empowered framework for precision diagnosis and treatment of lysosomal diseases

Lysosomal diseases (LDs) are a group of rare inherited disorders belonging to inborn metabolism errors. LDs are characterized by the excessive storage of undegraded substrates, most often due to the enzymatic deficiency resulting from disease-causing gene variants. LDs lead to dysregulated cellular pathways and imbalanced molecular homeostasis and can affect multiple organs and tissues. Despite being rare, LDs account for a significant incidence when considered collectively. Due to complex molecular and genetic fingerprints, considerable challenges in LD management must be overcome. Diagnosis can be significantly delayed due to the broad and nonspecific clinical manifestations and the lack of specific biomarkers. Available treatments fail to fully stop the disease progression and can alter the disease's typical phenotypes with novel manifestations. Therefore, a paradigm shift is crucial to better understand LDs and provide actionable insights. Herein, we comprehensively review the literature to demonstrate that multi-omics approaches are promising for pathophysiology elucidation, biomarker discovery, and precision therapy in LDs. We recommend adopting longitudinal study designs integrated with a multi-omics-empowered framework to facilitate mechanistic delineation, biomarker discovery, and treatment development. Relevant approaches exploring the association between LDs and common neurodegenerative disorders are also discussed, paving a potential path for improved therapeutic development and ultimately improving the patient's quality of life.

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Publication Details

Journal
Journal of Pharmaceutical Analysis
Published
2025-03-20
DOI
https://doi.org/10.1016/j.jpha.2025.101274
Citations
2
Primary Topic
Lysosomal Storage Disorders Research
Type
article
Field-Weighted Citation Impact
2.33
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article

A multi-omics-empowered framework for precision diagnosis and treatment of lysosomal diseases

Nguyen Phuoc Long, Franklin Ducatez, Olivier Lidove, Soumeya Bekri et al.
2 citations
Journal of Pharmaceutical Analysis
Lysosomal Storage Disorders Research
2.33
article

A multi-omics-empowered framework for precision diagnosis and treatment of lysosomal diseases

Nguyen Phuoc Long, Franklin Ducatez, Olivier Lidove, Soumeya Bekri, Abdellah Tebani, Wladimir Mauhin, Nguyen Quang Thu, Nguyen Thi Hai Yen, Nguyen Tran Nam Tien
article en
2 citations

Abstract

Lysosomal diseases (LDs) are a group of rare inherited disorders belonging to inborn metabolism errors. LDs are characterized by the excessive storage of undegraded substrates, most often due to the enzymatic deficiency resulting from disease-causing gene variants. LDs lead to dysregulated cellular pathways and imbalanced molecular homeostasis and can affect multiple organs and tissues. Despite being rare, LDs account for a significant incidence when considered collectively. Due to complex molecular and genetic fingerprints, considerable challenges in LD management must be overcome. Diagnosis can be significantly delayed due to the broad and nonspecific clinical manifestations and the lack of specific biomarkers. Available treatments fail to fully stop the disease progression and can alter the disease's typical phenotypes with novel manifestations. Therefore, a paradigm shift is crucial to better understand LDs and provide actionable insights. Herein, we comprehensively review the literature to demonstrate that multi-omics approaches are promising for pathophysiology elucidation, biomarker discovery, and precision therapy in LDs. We recommend adopting longitudinal study designs integrated with a multi-omics-empowered framework to facilitate mechanistic delineation, biomarker discovery, and treatment development. Relevant approaches exploring the association between LDs and common neurodegenerative disorders are also discussed, paving a potential path for improved therapeutic development and ultimately improving the patient's quality of life.

Journal of Pharmaceutical AnalysisVol. 15(10)
Inje University (KR), Normandie Université (FR), Groupe Hospitalier Diaconesses Croix Saint-Simon (FR), Université de Rouen Normandie (FR)
Openalex Percentile: Top 14%
Lysosomal Storage Disorders Research
2.33
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