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- Title
Disclosure of a putative biosignature for respiratory chain disorders through a metabolomics approach.
- Authors
Smuts, Izelle; Westhuizen, Francois; Louw, Roan; Mienie, Lodewyk; Engelke, Udo; Wevers, Ron; Mason, Shayne; Koekemoer, Gerhard; Reinecke, Carolus
- Abstract
The diagnosis of respiratory chain deficiencies (RCDs) is complicated and the need for a diagnostic biomarker or biosignature has been widely expressed. In this study, the metabolic profile of a selected group of 29 RCD patients, with a predominantly muscle disease phenotype, and 22 controls were investigated using targeted and untargeted analyses of three sub-sections of the human metabolome, including urinary organic acids and amino acids [measured by gas chromatography-mass spectrometry (GC-MS)], as well as acylcarnitines (measured by electrospray ionization tandem MS). Although MS technologies are highly sensitive and selective, they are restrictive by being applied only to sub-sections of the metabolome; an untargeted nuclear magnetic resonance (NMR) spectroscopy approach was therefore also included. After data reduction and pre-treatment, a biosignature comprising six organic acids (lactic, succinic, 2-hydroxyglutaric, 3-hydroxyisobutyric, 3-hydroxyisovaleric and 3-hydroxy-3-methylglutaric acids), six amino acids (alanine, glycine, glutamic acid, serine, tyrosine and α-aminoadipic acid) and creatine, was constructed from uni- and multivariate statistical analyses and verified by cross-validation. The results presented here provide the first proof-of-concept that the metabolomics approach is capable of defining a biosignature for RCDs. We postulate that the composite of organic acids ≈ amino acids > creatine > betaine > carnitines represents the basic biosignature for RCDs. Validated through a prospective study, this could offer an improved ability to assign individual patients to a group with defined RCD characteristics and improve case selection for biopsy procedures, especially in infants and children.
- Subjects
RESPIRATORY disease diagnosis; BIOMARKERS; METABOLOMICS; AMINO acids; GAS chromatography/Mass spectrometry (GC-MS); ELECTROSPRAY ionization mass spectrometry; ORGANIC acids analysis
- Publication
Metabolomics, 2013, Vol 9, Issue 2, p379
- ISSN
1573-3882
- Publication type
Article
- DOI
10.1007/s11306-012-0455-z