Integrated proteomic and metabolomic analyses of the mitochondrial neurodegenerative disease MELAS.
Haorong LiMartine UittenbogaardRyan NavarroMustafa AhmedAndrea GropmanAnne ChiaramelloLing HaoPublished in: Molecular omics (2022)
MELAS (mitochondrial encephalomyopathy, lactic acidosis, stroke-like episodes) is a progressive neurodegenerative disease caused by pathogenic mitochondrial DNA variants. The pathogenic mechanism of MELAS remains enigmatic due to the exceptional clinical heterogeneity and the obscure genotype-phenotype correlation among MELAS patients. To gain insights into the pathogenic signature of MELAS, we designed a comprehensive strategy integrating proteomics and metabolomics in patient-derived dermal fibroblasts harboring the ultra-rare MELAS pathogenic variant m.14453G>A, specifically affecting the mitochondrial respiratory complex I. Global proteomics was achieved by data-dependent acquisition (DDA) and verified by data-independent acquisition (DIA) using both Spectronaut and the recently launched MaxDIA platforms. Comprehensive metabolite coverage was achieved for both polar and nonpolar metabolites in both reverse phase and HILIC LC-MS/MS analyses. Our proof-of-principle MELAS study with multi-omics integration revealed OXPHOS dysregulation with a predominant deficiency of complex I subunits, as well as alterations in key bioenergetic pathways, glycolysis, tricarboxylic acid cycle, and fatty acid β-oxidation. The most clinically relevant discovery is the downregulation of the arginine biosynthesis pathway, likely due to blocked argininosuccinate synthase, which is congruent with the MELAS cardinal symptom of stroke-like episodes and its current treatment by arginine infusion. In conclusion, we demonstrated an integrated proteomic and metabolomic strategy for patient-derived fibroblasts, which has great clinical potential to discover therapeutic targets and design personalized interventions after validation with a larger patient cohort in the future.
Keyphrases
- mitochondrial dna
- copy number
- mass spectrometry
- oxidative stress
- single cell
- atrial fibrillation
- nitric oxide
- fatty acid
- ejection fraction
- label free
- electronic health record
- end stage renal disease
- multiple sclerosis
- machine learning
- newly diagnosed
- small molecule
- gene expression
- cell proliferation
- ms ms
- big data
- prognostic factors
- extracellular matrix
- climate change
- hydrogen peroxide
- cerebral ischemia
- deep learning
- health insurance
- respiratory tract
- clinical evaluation