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Metabonomics and population studies: age-related amino acids excretion and inferring networks through the study of urine samples in two Italian isolated populations

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Abstract

The study of two different Italian isolated populations was combined with a metabonomic approach to better understand tubular handling of amino acids. Levels of amino acids and metabolites have been analyzed by Nucleic Magnetic Resonance and expressed as ratio vs urinary creatinine concentration (mmol/mol). For most of the amino acids there is an age-related U shape pattern of excretion, with the peaks during childhood and old age, and a significant reduction in the adult age. Hierarchical cluster analysis has clearly identified three groups clustering the same amino acids: His, Thr and Ala (group one); Gly and Phe (group two) and a third larger one. Results have been further confirmed by factor and regression analysis, and used to confirm and, in some cases, infer new amino acids networks. As a matter of facts, the identification of strong evidences for clustering of urine excretion of several neutral amino acids suggests the predominant impact of relevant and common transporters

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Acknowledgments

We would like to thank Carlantino and Stoccareddo populations for having participated to the study. We thank Antonella Ferrara for her technical assistance in providing pedigrees for Carlantino population and Dr. Ludovico Pontoni for his skillful cooperation in running NMR spectra and handling of NMR data. Work at least in part funded by the following grants: FP6-EUGINDAT (to all), Italian Ministry of Health (to PG), Regione Veneto, Giunta Regionale-Ricerca Sanitaria Finalizzata n.176/04, Venice, Italy (to HU and AG), the Spanish Project MEC BFU2006-14600- C02-01-02/BMC (to NV and PM).

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Authors and Affiliations

  1. Medical Genetics, Department of Laboratory Medicine, Institute for Maternal and Child Health IRCCS-Burlo Garofolo, Trieste, Italy

    Pio D’Adamo, Sheila Ulivi, Carmela Lanzara & Paolo Gasparini

  2. Department of Chemistry, University of Calabria, Arcavacata di Rende, CS, Italy

    Amerigo Beneduci

  3. Department of Biochemistry and Biophysics “Francesco Cedrangolo”, Second University of Naples, Naples, Italy

    Gabriele Pontoni

  4. Department of Internal Medicine, Section of Nephrology, Second University of Naples, Naples, Italy

    Giovambattista Capasso

  5. Medical Genetics, M.Baschirotto Institute for Rare Diseases. B.I.R.D. Foundation, Costozza di Longare, Vicenza, Italy

    Gilberto Andrighetto & Uros Hladnik

  6. CGMM-IDIBELL, Secció de genètica, Ciències Fisiològiques II, UB and CIBERER U730, Barcelona, Spain

    Virginia Nunes

  7. Institute for Research in Biomedicine, Barcelona Science Park, Department of Biochemistry and Molecular Biology, Faculty of Biology, University of Barcelona, and CIBERER, Barcelona, Spain

    Manuel Palacin

  8. Medical Genetics, Department of Reproductive Sciences and Development, University of Trieste, Trieste, Italy

    Carmela Lanzara & Paolo Gasparini

  9. Medical Genetics, Department of Reproductive Sciences and Development, Institute for Maternal and Child Health IRCCS-Burlo Garofolo and University of Trieste, Via dell’Istria 65, 34141, Trieste, Italy

    Paolo Gasparini

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  1. Pio D’Adamo
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  2. Sheila Ulivi
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  3. Amerigo Beneduci
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  4. Gabriele Pontoni
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  5. Giovambattista Capasso
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  6. Carmela Lanzara
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  7. Gilberto Andrighetto
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  8. Uros Hladnik
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  9. Virginia Nunes
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  10. Manuel Palacin
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  11. Paolo Gasparini
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Correspondence to Paolo Gasparini.

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D’Adamo, P., Ulivi, S., Beneduci, A. et al. Metabonomics and population studies: age-related amino acids excretion and inferring networks through the study of urine samples in two Italian isolated populations. Amino Acids 38, 65–73 (2010). https://doi.org/10.1007/s00726-008-0205-8

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  • DOI: https://doi.org/10.1007/s00726-008-0205-8

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