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Animal Mitochondrial Genetics

Animal Mitochondrial Genetics

Among all the organelles in an animal cell, only mitochondria have their own independent genomes. Animal mitochondrial DNA is a double-stranded, closed-circular molecule with around 20,000 base pairs. Mitochondrial DNA is unique in that one of its two strands, the heavy, or H, -strand is guanine rich, whereas the complementary strand is cytosine rich and called the light, or L, -strand. Compared to nuclear DNA, mitochondrial DNA has a very low percentage of non-coding regions and is marked by...

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A Diagnostic Algorithm for Mitochondrial Disorders in Estonian Children.

K Joost¹, R J Rodenburg, A Piirsoo

¹Department of Genetics, United Laboratories, Tartu, Estonia ; The Centre of Excellence for Translational Medicine, University of Tartu, Tartu, Estonia.

Molecular Syndromology

|November 1, 2012

Summary

This study developed a diagnostic algorithm for childhood mitochondrial disorders in Estonia, identifying 5 cases and a live-birth prevalence of 1/20,764. Findings align with international data, aiding clinical practice and understanding of these energy production diseases.

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An In Vitro Approach to Study Mitochondrial Dysfunction: A Cybrid Model

An In Vitro Approach to Study Mitochondrial Dysfunction: A Cybrid Model

Published on: March 9, 2022

Area of Science:

Pediatric Neurology
Biochemistry
Genetics

Background:

Mitochondrial disorders are complex genetic conditions impacting cellular energy production.
Existing diagnostic criteria (Wolfson, Nijmegen, modified Walker) present challenges in pediatric cases.
A need exists for a practical diagnostic algorithm for Estonian pediatric neurology and neonatology.

Purpose of the Study:

To develop and implement a diagnostic algorithm for identifying mitochondrial disorders in Estonian pediatric patients.
To evaluate the live-birth prevalence of childhood mitochondrial disorders within the study cohort.
To compare epidemiological data with international findings.

Main Methods:

Retrospective analysis of 22 children referred for muscle biopsy (2003-2009) based on preliminary investigations.
Enzymatic and molecular analyses to confirm diagnoses.
Calculation of live-birth prevalence based on confirmed cases.

Main Results:

Mitochondrial disease was confirmed in 5 out of 22 children.
Confirmed diagnoses included SCO2 gene defect, pyruvate dehydrogenase complex deficiency (2 cases), and combined complex I and IV deficiency (2 cases).
The observed live-birth prevalence was 1/20,764, consistent with data from Sweden and Australia, but lower than Finland.

Conclusions:

The developed diagnostic algorithm is applicable to clinical practice in Estonia for identifying pediatric mitochondrial disorders.
The study provides crucial epidemiological data on mitochondrial disease prevalence in childhood.
Findings support the need for continued research and standardized diagnostic approaches for these debilitating conditions.