Literature DB >> 22930479

Blood biomarkers of methylation in Down syndrome and metabolic simulations using a mathematical model.

Rima Obeid1, Kathrin Hartmuth, Wolfgang Herrmann, Ludwig Gortner, Tilman R Rohrer, Jürgen Geisel, Michael C Reed, H Frederik Nijhout.   

Abstract

SCOPE: The study tests the metabolites of the methylation cycle in individuals with Down syndrome (DS) and applies a mathematical model in order to change this cycle by nutritional factors. METHODS AND
RESULTS: We measured concentrations of the metabolites related to the methylation cycle in the blood of 35 young individuals with DS and 47 controls of comparable age. Moreover, we applied a mathematical model to learn more about the regulation of the methylation cycle in DS. Concentrations of cystathionine, cysteine, betaine, choline, dimethylglycine, S-adenosylhomocysteine (SAH), S-adenosylmethionine (SAM), and holotranscobalamin were significantly higher in DS compared to the controls. The median SAM/SAH ratio was lower in DS and that of methionine and reduced glutathione did not differ significantly between the groups. The mathematical model showed that enhanced methionine turnover and accelerated Hcy-remethylation might explain the shift in the methylation cycle in DS.
CONCLUSION: In addition to the DS-related excess of cystathionine beta synthase (CBS) activity, increases in the activities of MS and betaine homocysteine methyl transferase, and in methionine input were necessary to account for the changes in metabolite levels observed in DS. A low-methionine diet might offer a perspective for reversing the metabolic imbalance in DS, but this awaits clinical investigations.
© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2012        PMID: 22930479     DOI: 10.1002/mnfr.201200162

Source DB:  PubMed          Journal:  Mol Nutr Food Res        ISSN: 1613-4125            Impact factor:   5.914


  13 in total

1.  Plasma Amyloid Beta 1-42 and DNA Methylation Pattern Predict Accelerated Aging in Young Subjects with Down Syndrome.

Authors:  Rima Obeid; Ulrich Hübner; Marion Bodis; Juergen Geisel
Journal:  Neuromolecular Med       Date:  2016-05-27       Impact factor: 3.843

2.  Folate and cobalamin modify associations between S-adenosylmethionine and methylated arsenic metabolites in arsenic-exposed Bangladeshi adults.

Authors:  Caitlin G Howe; Megan M Niedzwiecki; Megan N Hall; Xinhua Liu; Vesna Ilievski; Vesna Slavkovich; Shafiul Alam; Abu B Siddique; Joseph H Graziano; Mary V Gamble
Journal:  J Nutr       Date:  2014-03-05       Impact factor: 4.798

Review 3.  S-Adenosyl Methionine and Transmethylation Pathways in Neuropsychiatric Diseases Throughout Life.

Authors:  Jin Gao; Catherine M Cahill; Xudong Huang; Joshua L Roffman; Stefania Lamon-Fava; Maurizio Fava; David Mischoulon; Jack T Rogers
Journal:  Neurotherapeutics       Date:  2018-01       Impact factor: 7.620

4.  A pilot study on machine learning approach to delineate metabolic signatures in intellectual disability.

Authors:  Vidya Nikam; Suvidya Ranade; Naushad Shaik Mohammad; Mohan Kulkarni
Journal:  Int J Dev Disabil       Date:  2019-04-15

5.  Plasma and urinary metabolomic profiles of Down syndrome correlate with alteration of mitochondrial metabolism.

Authors:  Maria Caracausi; Veronica Ghini; Chiara Locatelli; Martina Mericio; Allison Piovesan; Francesca Antonaros; Maria Chiara Pelleri; Lorenza Vitale; Rosa Anna Vacca; Federica Bedetti; Maria Chiara Mimmi; Claudio Luchinat; Paola Turano; Pierluigi Strippoli; Guido Cocchi
Journal:  Sci Rep       Date:  2018-02-14       Impact factor: 4.379

Review 6.  Peripheral Oxidation Markers in Down Syndrome Patients: The Better and the Worse.

Authors:  Dominik Szwajgier; Ewa Baranowska-Wójcik; Joanna Grzelczyk; Wioletta Żukiewicz-Sobczak
Journal:  Dis Markers       Date:  2021-06-28       Impact factor: 3.434

7.  Brief Communication: Maternal Plasma Autoantibodies Screening in Fetal Down Syndrome.

Authors:  Karol Charkiewicz; Monika Zbucka-Kretowska; Joanna Goscik; Slawomir Wolczynski; Adam Lemancewicz; Piotr Laudanski
Journal:  J Immunol Res       Date:  2016-03-06       Impact factor: 4.818

Review 8.  Down Syndrome Is a Metabolic Disease: Altered Insulin Signaling Mediates Peripheral and Brain Dysfunctions.

Authors:  Mara Dierssen; Marta Fructuoso; María Martínez de Lagrán; Marzia Perluigi; Eugenio Barone
Journal:  Front Neurosci       Date:  2020-07-08       Impact factor: 4.677

9.  Metabolomics analysis of children with autism, idiopathic-developmental delays, and Down syndrome.

Authors:  Jennie Sotelo Orozco; Irva Hertz-Picciotto; Leonard Abbeduto; Carolyn M Slupsky
Journal:  Transl Psychiatry       Date:  2019-10-03       Impact factor: 6.222

Review 10.  Metabolism navigates neural cell fate in development, aging and neurodegeneration.

Authors:  Larissa Traxler; Jessica Lagerwall; Sophie Eichhorner; Davide Stefanoni; Angelo D'Alessandro; Jerome Mertens
Journal:  Dis Model Mech       Date:  2021-08-04       Impact factor: 5.758

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