Orphanet journal of rare diseases · 2025
Single large-scale mitochondrial DNA deletion syndromes: scientific and family conference optimizes the collection of rare disease research outcomes.
СтатьяНазвание и аннотация: Перевод в очереди
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MacMullen Laura E, Reynolds Elizabeth, Weis Marissa, George-Sankoh Ibrahim, Nguyen Sara, Stanley Katelynn D, Redko Mariya, Poblete Maria, Goldstein Amy C, Ganetzky Rebecca D
Аннотация
BACKGROUND: The SLSMDS Research Network is a collaborative network comprising patient advocates, researchers, clinicians, and affected families seeking to improve outcomes for individuals with single large-scale mitochondrial DNA deletion syndromes (SLSMDS). Building off of jointly developed research infrastructures, including a patient registry and natural history study, advocates and clinicians cohosted the SLSMDS Family and Scientific Conference, enabling the collection of patient data from an ultra-rare and geographically dispersed patient population. Here we describe the data collection procedures for single-time point laboratory assessments and patient reported outcomes for a subset of individuals with SLSMDS.
RESULTS: Utilizing a reproducible model of rare disease data collection, we expand our understanding of the common psychiatric manifestations, describe variability in terms of self-care and quality of life, and emphasize potential biomarkers for individuals with SLSMDS.
CONCLUSION: Our study describes how efficient patient-researcher partnerships can develop and sustain novel mechanisms to collect rare disease data, improve our understanding of the natural history of these disorders, and support development of future treatments.
RESULTS: Utilizing a reproducible model of rare disease data collection, we expand our understanding of the common psychiatric manifestations, describe variability in terms of self-care and quality of life, and emphasize potential biomarkers for individuals with SLSMDS.
CONCLUSION: Our study describes how efficient patient-researcher partnerships can develop and sustain novel mechanisms to collect rare disease data, improve our understanding of the natural history of these disorders, and support development of future treatments.