title: Diagnosis and follow-up of inborn errors of amino acid metabolism: Use of proton magnetic resonance of biological fluids.
abstract: Proton magnetic resonance spectra of biological fluids such as urine, plasma and cerebro-spinal fluid can be used for multi-component analysis of highly concentrated species, thus providing information about the general metabolism of the patient. Hydrogen containing analytes in concentration higher than 10µM are indeed often detectable in biological fluid in 15 minutes by means of an unexpensive 200 MHz spectrometer essentially without sample manipulation. Amino acids, keton bodies, organic acids and other metabolites can be easily estimated by this approach; consequently this technique represents a powerful tool particularly in the diagnosis of inborn errors of amino acid metabolism, when improving the prognosis often depends on a very early diagnosis and on an effective method for monitoring the effects of therapy.In the present paper, several cases of inherited diseases related to amino acid impaired metabolism will be presented to illustrate the importance in the diagnosis. Phenylketonuria, tyrosinemia, cystinuria, ornithinemia, argininosuccinic aciduria, maple syrup urine disease (MSUD), alkaptonuria, lysinuria and other genetic pathologies were in fact unambiguously and rapidly diagnosed by means of the identification in the biological fluids of the relevant accumulating amino acids and/or of their metabolites. The proposed technique is suitable to become, in the future, a useful routine tool for a wide neonatal screening.
authors.affiliation: Institute of Biochemistry of Macromolecules, The Second University of Naples, School of Medicine and Surgery, 16, via S. Maria di Costantinopoli, I-80138, Naples, Italy.
authors.forename: G
authors.initials: G
authors.lastname: Pontoni
authors.forename: F
authors.initials: F
authors.lastname: Rotondo
authors.forename: M
authors.initials: M
authors.lastname: Cartenì-Farina
authors.forename: V
authors.initials: V
authors.lastname: Zappia