Biocomplexity and Fractality in the Search of Biomarkers of Aging and Pathology: Mitochondrial DNA Profiling of Parkinson's Disease

International Journal of Molecular Sciences
Annamaria ZaiaTiziana Casoli

Abstract

Increasing evidence implicates mitochondrial dysfunction in the etiology of Parkinson's disease (PD). Mitochondrial DNA (mtDNA) mutations are considered a possible cause and this mechanism might be shared with the aging process and with other age-related neurodegenerative disorders such as Alzheimer's disease (AD). We have recently proposed a computerized method for mutated mtDNA characterization able to discriminate between AD and aging. The present study deals with mtDNA mutation-based profiling of PD. Peripheral blood mtDNA sequences from late-onset PD patients and age-matched controls were analyzed and compared to the revised Cambridge Reference Sequence (rCRS). The chaos game representation (CGR) method, modified to visualize heteroplasmic mutations, was used to display fractal properties of mtDNA sequences and fractal lacunarity analysis was applied to quantitatively characterize PD based on mtDNA mutations. Parameter β, from the hyperbola model function of our lacunarity method, was statistically different between PD and control groups when comparing mtDNA sequence frames corresponding to GenBank np 5713-9713. Our original method, based on CGR and lacunarity analysis, represents a useful tool to analyze mtDNA mutations. ...Continue Reading

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Citations

Jul 8, 2020·International Journal of Molecular Sciences·lEugen Mircea Anitas
Apr 25, 2020·Biomolecules·Farzad Salehpour, Michael R Hamblin

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Datasets Mentioned

BETA
GSE113704

Methods Mentioned

BETA
chips

Software Mentioned

GeneChip Sequence Analysis
Matlab
GBA
rCRS
Affymetrix GeneChip Command Console
SPSS

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