Department of Metabolic Diseases, Wilhelmina Children’s Hospital, University Medical Center Utrecht, Utrecht 3584 EA, the Netherlands; Corresponding author
Richard Rodenburg
Nijmegen Center for Mitochondrial Disorders, Radboud University Nijmegen Medical Center, Nijmegen 6525 GA, the Netherlands
Hanneke L.D. Willemen
Center for Translational Immunology (CTI), Wilhelmina Children’s Hospital, University Medical Center Utrecht, Utrecht 3584 EA, the Netherlands
Désirée van Haaften-Visser
Department of Pediatrics, Center for Lysosomal and Metabolic Diseases, Erasmus University Medical Center, Rotterdam 3015 GD, the Netherlands
Hans Waterham
United for Metabolic Diseases (UMD), Utrecht 3584 EA, the Netherlands; Department of Laboratory Medicine, Laboratory Genetic Metabolic Diseases, Amsterdam UMC - AMC, Amsterdam 1105 AZ, the Netherlands
Niels Eijkelkamp
Center for Translational Immunology (CTI), Wilhelmina Children’s Hospital, University Medical Center Utrecht, Utrecht 3584 EA, the Netherlands
Sabine A. Fuchs
Department of Metabolic Diseases, Wilhelmina Children’s Hospital, University Medical Center Utrecht, Utrecht 3584 EA, the Netherlands; United for Metabolic Diseases (UMD), Utrecht 3584 EA, the Netherlands
Peter M. van Hasselt
Department of Metabolic Diseases, Wilhelmina Children’s Hospital, University Medical Center Utrecht, Utrecht 3584 EA, the Netherlands; United for Metabolic Diseases (UMD), Utrecht 3584 EA, the Netherlands; Corresponding author
Summary: Traditional classification by clinical phenotype or oxidative phosphorylation (OXPHOS) complex deficiencies often fails to clarify complex genotype-phenotype correlations in mitochondrial disease. A multimodal functional assessment may better reveal underlying disease patterns. Using imaging flow cytometry (IFC), we evaluated mitochondrial fragmentation, swelling, membrane potential, reactive oxygen species (ROS) production, and mitochondrial mass in fibroblasts from 31 mitochondrial disease patients. Significant changes were observed in 97% of patients, forming two overarching groups with distinct responses to mitochondrial pathology. One group displayed low-to-normal membrane potential, indicating a hypometabolic state, while the other showed elevated membrane potential and swelling, suggesting a hypermetabolic state. Literature analysis linked these clusters to complex I stability defects (hypometabolic) and proton pumping activity (hypermetabolic). Thus, our IFC-based platform offers a novel approach to identify disease-specific patterns through functional responses, supporting improved diagnostic and therapeutic strategies.