Literature DB >> 28868294

Integration of Proteomics and Metabolomics in Exploring Genetic and Rare Metabolic Diseases.

Michele Costanzo1, Miriam Zacchia2, Giuliana Bruno3, Daniela Crisci1,4, Marianna Caterino1,4,5, Margherita Ruoppolo1,4,5.   

Abstract

BACKGROUND: Inherited metabolic disorders or inborn errors of metabolism are caused by deficiency of enzymatic activities in the catabolism of amino acids, carbohydrates, or lipids. These disorders include aminoacidopathies, urea cycle defects, organic acidemias, defects of oxidation of fatty acids, and lysosomal storage diseases. Inborn errors of metabolism constitute a significant proportion of genetic diseases, particularly in children; however, they are individually rare. Clinical phenotypes are very variable, some of them remain asymptomatic, others manifest metabolic decompensation in neonatal age, and others encompass mental retardation at later age. The clinical manifestation of these disorders can involve different organs and/or systems. Some disorders are easily managed if promptly diagnosed and treated, whereas in other cases neither diet, vitamin therapy, nor transplantation appears to prevent multi-organ impairment.
SUMMARY: Here, we discuss the principal challenges of metabolomics and proteomics in inherited metabolic disorders. We review the recent developments in mass spectrometry-based proteomic and metabolomic strategies. Mass spectrometry has become the most widely used platform in proteomics and metabolomics because of its ability to analyze a wide range of molecules, its optimal dynamic range, and great sensitivity. The fast measurement of a broad spectrum of metabolites in various body fluids, also collected in small samples like dried blood spots, have been facilitated by the use of mass spectrometry-based techniques. These approaches have enabled the timely diagnosis of inherited metabolic disorders, thereby facilitating early therapeutic intervention. Due to its analytical features, proteomics is suited for the basic investigation of inborn errors of metabolism. Modern approaches enable detailed functional characterization of the pathogenic biochemical processes, as achieved by quantification of proteins and identification of their regulatory chemical modifications. KEY MESSAGE: Mass spectrometry-based "omics" approaches most frequently used to study the molecular mechanisms underlying inherited metabolic disorders pathophysiology are described.

Entities:  

Keywords:  Acylcarnitines; Biomarkers; Inborn errors of metabolism; Metabolomics; Proteomics

Year:  2017        PMID: 28868294      PMCID: PMC5567043          DOI: 10.1159/000477493

Source DB:  PubMed          Journal:  Kidney Dis (Basel)        ISSN: 2296-9357


  49 in total

1.  Towards defining the urinary proteome using liquid chromatography-tandem mass spectrometry. I. Profiling an unfractionated tryptic digest.

Authors:  C S Spahr; M T Davis; M D McGinley; J H Robinson; E J Bures; J Beierle; J Mort; P L Courchesne; K Chen; R C Wahl; W Yu; R Luethy; S D Patterson
Journal:  Proteomics       Date:  2001-01       Impact factor: 3.984

Review 2.  Protein biomarker discovery and validation: the long and uncertain path to clinical utility.

Authors:  Nader Rifai; Michael A Gillette; Steven A Carr
Journal:  Nat Biotechnol       Date:  2006-08       Impact factor: 54.908

Review 3.  Inborn errors of metabolism: the flux from Mendelian to complex diseases.

Authors:  Brendan Lanpher; Nicola Brunetti-Pierri; Brendan Lee
Journal:  Nat Rev Genet       Date:  2006-06       Impact factor: 53.242

Review 4.  Feature selection in clinical proteomics: with great power comes great reproducibility.

Authors:  Wei Wang; Andrew C-H Sue; Wilson W B Goh
Journal:  Drug Discov Today       Date:  2016-12-15       Impact factor: 7.851

Review 5.  Current concepts in organic acidurias: understanding intra- and extracerebral disease manifestation.

Authors:  Stefan Kölker; Peter Burgard; Sven W Sauer; Jürgen G Okun
Journal:  J Inherit Metab Dis       Date:  2013-03-20       Impact factor: 4.982

Review 6.  The Biochemistry and Physiology of Mitochondrial Fatty Acid β-Oxidation and Its Genetic Disorders.

Authors:  Sander M Houten; Sara Violante; Fatima V Ventura; Ronald J A Wanders
Journal:  Annu Rev Physiol       Date:  2015-10-14       Impact factor: 19.318

Review 7.  Mass spectrometry in clinical chemistry: the case of newborn screening.

Authors:  Giancarlo la Marca
Journal:  J Pharm Biomed Anal       Date:  2014-04-28       Impact factor: 3.935

Review 8.  Emerging applications of metabolomics in drug discovery and precision medicine.

Authors:  David S Wishart
Journal:  Nat Rev Drug Discov       Date:  2016-03-11       Impact factor: 84.694

9.  Targeted metabolomics in the expanded newborn screening for inborn errors of metabolism.

Authors:  Emanuela Scolamiero; Carla Cozzolino; Lucia Albano; Antonella Ansalone; Marianna Caterino; Graziella Corbo; Maria Grazia di Girolamo; Cristina Di Stefano; Adriano Durante; Giovanni Franzese; Ignazio Franzese; Giovanna Gallo; Paolo Giliberti; Laura Ingenito; Giovanni Ippolito; Basilio Malamisura; Pietro Mazzeo; Antonella Norma; Daniela Ombrone; Giancarlo Parenti; Silvana Pellecchia; Rita Pecce; Ippolito Pierucci; Roberta Romanelli; Anna Rossi; Massimo Siano; Teodoro Stoduto; Guglielmo R D Villani; Generoso Andria; Francesco Salvatore; Giulia Frisso; Margherita Ruoppolo
Journal:  Mol Biosyst       Date:  2015-06

10.  Centering, scaling, and transformations: improving the biological information content of metabolomics data.

Authors:  Robert A van den Berg; Huub C J Hoefsloot; Johan A Westerhuis; Age K Smilde; Mariët J van der Werf
Journal:  BMC Genomics       Date:  2006-06-08       Impact factor: 3.969

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  8 in total

1.  High levels of blood glutamic acid and ornithine in children with intellectual disability.

Authors:  Muhammad Wasim; Haq Nawaz Khan; Hina Ayesha; Abdul Tawab; Fazal E Habib; Muhammad Rafique Asi; Mazhar Iqbal; Fazli Rabbi Awan
Journal:  Int J Dev Disabil       Date:  2020-12-21

Review 2.  Advances in proteomic profiling of pediatric kidney diseases.

Authors:  Timothy D Cummins; Erik A Korte; Sagar Bhayana; Michael L Merchant; Michelle T Barati; William E Smoyer; Jon B Klein
Journal:  Pediatr Nephrol       Date:  2022-02-26       Impact factor: 3.651

3.  Lipid changes in the metabolome of a single case study with maple syrup urine disease (MSUD) after five days of improved diet adherence of controlled branched-chain amino acids (BCAA).

Authors:  Teresa D Douglas; L Kristin Newby; Julie Eckstrand; Douglas Wixted; Rani H Singh
Journal:  Mol Genet Metab Rep       Date:  2020-10-14

Review 4.  Identification of volatile compounds from bacteria by spectrometric methods in medicine diagnostic and other areas: current state and perspectives.

Authors:  Nils Kunze-Szikszay; Maximilian Euler; Thorsten Perl
Journal:  Appl Microbiol Biotechnol       Date:  2021-08-20       Impact factor: 4.813

Review 5.  Diagnosing rare diseases after the exome.

Authors:  Laure Frésard; Stephen B Montgomery
Journal:  Cold Spring Harb Mol Case Stud       Date:  2018-12-17

Review 6.  The rapidly evolving view of lysosomal storage diseases.

Authors:  Giancarlo Parenti; Diego L Medina; Andrea Ballabio
Journal:  EMBO Mol Med       Date:  2021-01-18       Impact factor: 12.137

7.  Targeted Metabolomic Analysis of a Mucopolysaccharidosis IIIB Mouse Model Reveals an Imbalance of Branched-Chain Amino Acid and Fatty Acid Metabolism.

Authors:  Valeria De Pasquale; Marianna Caterino; Michele Costanzo; Roberta Fedele; Margherita Ruoppolo; Luigi Michele Pavone
Journal:  Int J Mol Sci       Date:  2020-06-12       Impact factor: 5.923

8.  Proteomics Reveals that Methylmalonyl-CoA Mutase Modulates Cell Architecture and Increases Susceptibility to Stress.

Authors:  Michele Costanzo; Marianna Caterino; Armando Cevenini; Vincent Jung; Cerina Chhuon; Joanna Lipecka; Roberta Fedele; Ida Chiara Guerrera; Margherita Ruoppolo
Journal:  Int J Mol Sci       Date:  2020-07-15       Impact factor: 5.923

  8 in total

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