Medium-Chain Acyl-CoA Dehydrogenase Deficiency (MCADD) is the most common inborn error of metabolism affecting the fatty acid oxidation pathway. The deficiency is caused by a defect in the medium-chain acyl-CoA dehydrogenase enzyme which catalyzes the first step in the oxidation of medium-chain fatty acids. Long-chain fatty acids, after being transported into the mitochondria and activated into long-chain acyl-CoAs, are sequentially broken down until they become medium-chain acyl-CoAs. Medium-chain acyl-CoAs are then broken down until they become short-chain acyl-CoAs. Short-chain acyl-CoAs are broken down until only acetyl-CoA remains. The block in the oxidation of fatty acids in those with MCADD happens once the long-chain acyl-CoAs have been oxidized to medium-chain acyl-CoAs. The medium-chain acyl-CoAs cannot be further oxidized and build up. Without the breakdown of fatty acids, individuals with MCADD cannot produce enough energy during times of increased metabolic demand. Thus, prolonged exercise, fasting, or fever can precipitate clinical symptoms once the body enters a hypoketotic hypoglycemic state. Those with MCADD typically present in the early months of life with fasting intolerance, vomiting, lethargy, and, in more serious cases, seizures. Adult presentation is rare, but should not be ruled out of a differential diagnosis, because early detection and intervention can prevent permanent brain damage and death. Because early detection can prevent the serious effects of metabolic decompensation, MCADD was added to the Newborn Screen and is tested through measuring levels of medium-chain acylcarnitines in dried blood smears by tandem mass spectrometry. Metabolic decompensation is manifested clinically through dehydration, vomiting, and acidosis. In serious cases, metabolic decompensation can progress to seizures, coma, and death. Introduction of the Newborn Screen has reduced the morbidity of the deficiency, but has not eliminated it. Those with MCADD need to be closely monitored and emergency glucose needs to be available to them in case of a hypoglycemic emergency. The Newborn Screen has been effective in finding mutations in the ACADM gene that produce a mild phenotype of MCADD. Before the Newborn Screen, the most common variant, K329E, was detected in clinically diagnosed patients. However, the screen has shown that there are about 150 variants leading to MCADD. The most common variant of the MCAD protein, K329E, has been studied and characterized in order to further understand the pathogenesis of MCADD. This mutation substitutes a lysine for a glutamic acid, introducing hindrance and the inability of the protein to form its fully functional tetrameric form. The mutant protein also has an increased sensitivity to heat denaturation. Currently, there are no pharmacological treatments for MCADD. The idea of pharmacological chaperones is explored by using the example of tetrahydrobiopterin and phenylketonuria. Future studies will need be done to find a treatment for MCADD that is curative rather than treating the symptoms of the deficiency; however, curative therapies which target the mutant enzyme may be problematic since there is a wide array of mutations that result in a defective enzyme in affected individuals.

Sudden Infant Death (SIDS) has been associated with medium-chain acyl-CoA dehydrogenase (MCAD) deficiency, an inborn error of fatty acid oxidation. Blood and tissue samples from a large cohort of SIDS victims were analyzed for the presence of dodecanoic acid (C₁₂) by gas chromatography. A subgroup of these cases had a significantly higher blood concentration than age-matched controls, suggesting MCAD deficiency. An animal study using Sprague-Dawley rats was done to mimic the effects of MCAD deficiency. Significantly increased blood concentrations of dodecanoic acid were observed. Decreased values in heart and liver were puzzling findings. The data indicate that dodecanoic acid is a blood marker for MCAD deficiency.

Very long chain acyl-coA dehydrogenase (VLCAD) is the rate-limiting step in mitochondrial fatty acid oxidation. VLCAD deficient mice and patients’ clinical symptoms stem from not only an energy deficiency but also long-chain metabolite accumulations. VLCAD deficient mice were treated systemically with 1x10 12 vector genomes of rAAV9-VLCAD. Expression was detected in the liver, heart and muscle. Also substantial expression of VLCAD was noted in the brain, where it was expressed across different sections of the brain and in different cell types with different morphologies. Biochemical correction was observed in vector-treated mice beginning two weeks post-injection, as characterized by a significant drop in long chain fatty acyl accumulates in whole blood after an overnight fast. Changes persisted through the termination point around 20 weeks post injection. Magnetic resonance spectroscopy (MRS) and tandem mass spectrometry (MS/MS) revealed normalization of intramuscular lipids in treated animals. Correction was not observed in liver tissue extracts, but cardiac muscle extracts showed significant reduction of long chain metabolites. Disease-specific phenotypes were characterized, including thermoregulation and maintenance of euglycemia after a fasting cold challenge. Internal body temperatures of untreated VLCAD-/- mice dropped below 20°C and the mice became lethargic, requiring euthanasia. In contrast all rAAV9-treated VLCAD-/- mice and the wild-type controls maintained body temperatures. rAAV9-treated VLCAD-/- mice maintained euglycemia, whereas untreated VLCAD-/- mice suffered hypoglycemia following a fasting cold challenge. These promising results suggest rAAV9 gene therapy as a potential treatment for VLCAD deficiency in humans.

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No description available.

Le rôle important joué par la mitochondrie dans la cellule eucaryote est admis depuis longtemps. Cependant, la composition exacte des mitochondries, ainsi que les processus biologiques qui sy déroulent restent encore largement inconnus. Deux facteurs principaux permettent dexpliquer pourquoi létude des mitochondries progresse si lentement : le manque defficacité des méthodes didentification des protéines mitochondriales et le manque de précision dans lannotation de ces protéines. En conséquence, nous avons développé un nouvel outil informatique, YimLoc, qui permet de prédire avec succès les protéines mitochondriales à partir des séquences génomiques. Cet outil intègre plusieurs indicateurs existants, et sa performance est supérieure à celle des indicateurs considérés individuellement. Nous avons analysé environ 60 génomes fongiques avec YimLoc afin de lever la controverse concernant la localisation de la bêta-oxydation dans ces organismes. Contrairement à ce qui était généralement admis, nos résultats montrent que la plupart des groupes de Fungi possèdent une bêta-oxydation mitochondriale. Ce travail met également en évidence la diversité des processus de bêta-oxydation chez les champignons, en corrélation avec leur utilisation des acides gras comme source dénergie et de carbone. De plus, nous avons étudié le composant clef de la voie de bêta-oxydation mitochondriale, lacyl-CoA déshydrogénase (ACAD), dans 250 espèces, couvrant les 3 domaines de la vie, en combinant la prédiction de la localisation subcellulaire avec la classification en sous-familles et linférence phylogénétique. Notre étude suggère que les gènes ACAD font partie dune ancienne famille qui a adopté des stratégies évolutionnaires innovatrices afin de générer un large ensemble denzymes susceptibles dutiliser la plupart des acides gras et des acides aminés. Finalement, afin de permettre la prédiction de protéines mitochondriales à partir de données autres que les séquences génomiques, nous avons développé le logiciel TESTLoc qui utilise comme données des Expressed Sequence Tags (ESTs). La performance de TESTLoc est significativement supérieure à celle de tout autre outil de prédiction connu. En plus de fournir deux nouveaux outils de prédiction de la localisation subcellulaire utilisant différents types de données, nos travaux démontrent comment lassociation de la prédiction de la localisation subcellulaire à dautres méthodes danalyse in silico permet daméliorer la connaissance des protéines mitochondriales. De plus, ces travaux proposent des hypothèses claires et faciles à vérifier par des expériences, ce qui présente un grand potentiel pour faire progresser nos connaissances des métabolismes mitochondriaux. / The important role of mitochondria in the eukaryotic cell has long been appreciated, but their exact composition and the biological processes taking place in mitochondria are not yet fully understood. The two main factors that slow down the progress in this field are inefficient recognition and imprecise annotation of mitochondrial proteins. Therefore, we developed a new computational tool, YimLoc, which effectively predicts mitochondrial proteins from genomic sequences. This tool integrates the strengths of existing predictors and yields higher performance than any individual predictor. We applied YimLoc to ~60 fungal genomes in order to address the controversy about the localization of beta oxidation in these organisms. Our results show that in contrast to previous studies, most fungal groups do possess mitochondrial beta oxidation. This work also revealed the diversity of beta oxidation in fungi, which correlates with their utilization of fatty acids as energy and carbon sources. Further, we conducted an investigation of the key component of the mitochondrial beta oxidation pathway, the acyl-CoA dehydrogenase (ACAD). We combined subcellular localization prediction with subfamily classification and phylogenetic inference of ACAD enzymes from 250 species covering all three domains of life. Our study suggests that ACAD genes are an ancient family with innovative evolutionary strategies to generate a large enzyme toolset for utilizing most diverse fatty acids and amino acids. Finally, to enable the prediction of mitochondrial proteins from data beyond genome sequences, we designed the tool TESTLoc that uses expressed sequence tags (ESTs) as input. TESTLoc performs significantly better than known tools. In addition to providing two new tools for subcellular localization designed for different data, our studies demonstrate the power of combining subcellular localization prediction with other in silico analyses to gain insights into the function of mitochondrial proteins. Most importantly, this work proposes clear hypotheses that are easily testable, with great potential for advancing our knowledge of mitochondrial metabolism.

Le rôle important joué par la mitochondrie dans la cellule eucaryote est admis depuis longtemps. Cependant, la composition exacte des mitochondries, ainsi que les processus biologiques qui sy déroulent restent encore largement inconnus. Deux facteurs principaux permettent dexpliquer pourquoi létude des mitochondries progresse si lentement : le manque defficacité des méthodes didentification des protéines mitochondriales et le manque de précision dans lannotation de ces protéines. En conséquence, nous avons développé un nouvel outil informatique, YimLoc, qui permet de prédire avec succès les protéines mitochondriales à partir des séquences génomiques. Cet outil intègre plusieurs indicateurs existants, et sa performance est supérieure à celle des indicateurs considérés individuellement. Nous avons analysé environ 60 génomes fongiques avec YimLoc afin de lever la controverse concernant la localisation de la bêta-oxydation dans ces organismes. Contrairement à ce qui était généralement admis, nos résultats montrent que la plupart des groupes de Fungi possèdent une bêta-oxydation mitochondriale. Ce travail met également en évidence la diversité des processus de bêta-oxydation chez les champignons, en corrélation avec leur utilisation des acides gras comme source dénergie et de carbone. De plus, nous avons étudié le composant clef de la voie de bêta-oxydation mitochondriale, lacyl-CoA déshydrogénase (ACAD), dans 250 espèces, couvrant les 3 domaines de la vie, en combinant la prédiction de la localisation subcellulaire avec la classification en sous-familles et linférence phylogénétique. Notre étude suggère que les gènes ACAD font partie dune ancienne famille qui a adopté des stratégies évolutionnaires innovatrices afin de générer un large ensemble denzymes susceptibles dutiliser la plupart des acides gras et des acides aminés. Finalement, afin de permettre la prédiction de protéines mitochondriales à partir de données autres que les séquences génomiques, nous avons développé le logiciel TESTLoc qui utilise comme données des Expressed Sequence Tags (ESTs). La performance de TESTLoc est significativement supérieure à celle de tout autre outil de prédiction connu. En plus de fournir deux nouveaux outils de prédiction de la localisation subcellulaire utilisant différents types de données, nos travaux démontrent comment lassociation de la prédiction de la localisation subcellulaire à dautres méthodes danalyse in silico permet daméliorer la connaissance des protéines mitochondriales. De plus, ces travaux proposent des hypothèses claires et faciles à vérifier par des expériences, ce qui présente un grand potentiel pour faire progresser nos connaissances des métabolismes mitochondriaux. / The important role of mitochondria in the eukaryotic cell has long been appreciated, but their exact composition and the biological processes taking place in mitochondria are not yet fully understood. The two main factors that slow down the progress in this field are inefficient recognition and imprecise annotation of mitochondrial proteins. Therefore, we developed a new computational tool, YimLoc, which effectively predicts mitochondrial proteins from genomic sequences. This tool integrates the strengths of existing predictors and yields higher performance than any individual predictor. We applied YimLoc to ~60 fungal genomes in order to address the controversy about the localization of beta oxidation in these organisms. Our results show that in contrast to previous studies, most fungal groups do possess mitochondrial beta oxidation. This work also revealed the diversity of beta oxidation in fungi, which correlates with their utilization of fatty acids as energy and carbon sources. Further, we conducted an investigation of the key component of the mitochondrial beta oxidation pathway, the acyl-CoA dehydrogenase (ACAD). We combined subcellular localization prediction with subfamily classification and phylogenetic inference of ACAD enzymes from 250 species covering all three domains of life. Our study suggests that ACAD genes are an ancient family with innovative evolutionary strategies to generate a large enzyme toolset for utilizing most diverse fatty acids and amino acids. Finally, to enable the prediction of mitochondrial proteins from data beyond genome sequences, we designed the tool TESTLoc that uses expressed sequence tags (ESTs) as input. TESTLoc performs significantly better than known tools. In addition to providing two new tools for subcellular localization designed for different data, our studies demonstrate the power of combining subcellular localization prediction with other in silico analyses to gain insights into the function of mitochondrial proteins. Most importantly, this work proposes clear hypotheses that are easily testable, with great potential for advancing our knowledge of mitochondrial metabolism.