TY - JOUR
T1 - Extending inherited metabolic disorder diagnostics with biomarker interaction visualizations
AU - Slenter, Denise n.
AU - Hemel, Irene m. g. m.
AU - Evelo, Chris t.
AU - Bierau, Jörgen
AU - Willighagen, Egon l.
AU - Steinbusch, Laura k. m.
PY - 2023/4/26
Y1 - 2023/4/26
N2 - Inherited Metabolic Disorders (IMDs) are rare diseases where one impaired protein leads to a cascade of changes in the adjacent chemical conversions. IMDs often present with non-specific symptoms, a lack of a clear genotype–phenotype correlation, and de novo mutations, complicating diagnosis. Furthermore, products of one metabolic conversion can be the substrate of another pathway obscuring biomarker identification and causing overlapping biomarkers for different disorders. Visualization of the connections between metabolic biomarkers and the enzymes involved might aid in the diagnostic process. The goal of this study was to provide a proof-of-concept framework for integrating knowledge of metabolic interactions with real-life patient data before scaling up this approach. This framework was tested on two groups of well-studied and related metabolic pathways (the urea cycle and pyrimidine de-novo synthesis). The lessons learned from our approach will help to scale up the framework and support the diagnosis of other less-understood IMDs.
AB - Inherited Metabolic Disorders (IMDs) are rare diseases where one impaired protein leads to a cascade of changes in the adjacent chemical conversions. IMDs often present with non-specific symptoms, a lack of a clear genotype–phenotype correlation, and de novo mutations, complicating diagnosis. Furthermore, products of one metabolic conversion can be the substrate of another pathway obscuring biomarker identification and causing overlapping biomarkers for different disorders. Visualization of the connections between metabolic biomarkers and the enzymes involved might aid in the diagnostic process. The goal of this study was to provide a proof-of-concept framework for integrating knowledge of metabolic interactions with real-life patient data before scaling up this approach. This framework was tested on two groups of well-studied and related metabolic pathways (the urea cycle and pyrimidine de-novo synthesis). The lessons learned from our approach will help to scale up the framework and support the diagnosis of other less-understood IMDs.
U2 - 10.1186/s13023-023-02683-9
DO - 10.1186/s13023-023-02683-9
M3 - Article
C2 - 37101200
SN - 1750-1172
VL - 18
JO - Orphanet Journal of Rare Diseases
JF - Orphanet Journal of Rare Diseases
IS - 1
M1 - 95
ER -